Search results for: post mortem interval

Authors: Zulfa D. Putri, Jumayanti Jumayanti, Hatiefah T. I. Melati, Kiki Indriati, Farah U. Mauhibah

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Momordica charantia is a food that is often used for nutrition therapy for patients with Diabetes Mellitus (DM) because of its effect as antihiperglicemia. However, the bitter taste of Momordica charantia may be an obstacle to consume. Some people remove the bitter taste of this by boiling it with salt water. The purpose of this study was to determine the effect of Momordica charantia boiling with salt water in lowering blood glucose levels. This study is a quasi-experimental study with pre-post test with control group design. The research sample consisted of 25 rats Sprague-Dawley were divided into 5 groups: Control group of healthy, control group of DM, control group of DM with the addition of Momordica charantia are boiled by salt for 3 minutes, 6 minutes, and 9 minutes. Blood glucose levels were measured after 4 weeks using a spectrophotometer. These results indicate that there is the effect of bitter taste from Momordica charantia in lowering blood glucose levels in rats significantly. The conclusion of this study is giving a Momordica charantia juice in Sprague-Dawley rats that induced by alloxan has meaningful statistically proven by One Way ANOVA test (p = 0.00) in lowering blood glucose levels of rats.

Keywords: antihiperglicemia, diabetes mellitus, momordica charantia, salt

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Authors: Katanku Denis Musoga

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Eat Right Campaign is an initiative that was started by the Nutrition Unit of Uganda Heart Institute with the objective of informing corporate workers in both the Government and Private sectors about how to eat to prevent Hypertension. In Uganda, according to the recent research undertaken by the Ministry of Health, 1 out of 4 adults is hypertensive and yet over 80% of those are not aware. This is attributed largely to poor eating habits influenced by a lack of knowledge. The major objective of the campaign was to demonstrate the need for effective strategic communication among the corporates by organizing workshops that involved dietary education, food demonstrations, and food preparation in an effort to prevent Hypertension. Permission from various Organizations was sought to carry out sensitization and health education while highlighting the significance of reducing financial losses to health care. The Campaign provided strategies for how to influence positive dietary changes. It involved screening for risk factors. A Pretest was given to the staff to ascertain their knowledge of how to eat right to prevent hypertension, and thereafter the campaign, a post-test was given to the same staff. This was done in all the 10 Organizations that we carried out the campaign. Over 80% of the staff had learned significantly and promised to practice what they had learned; also, the majority who had a higher Blood pressure measurement prior to the campaign returned with significantly lower blood pressure. Food demonstrations, preparations, and regular dietary education should be woven into the entire clinical and Public Health practice.

Keywords: eat right campaign initiative, corporates, prevent hypertension, dietary education

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Authors: Stephen L. Green, Alexander N. Gorban, Ivan Y. Tyukin

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Within the past decade, using Convolutional Neural Networks (CNN)’s to create Deep Learning systems capable of translating Sign Language into text has been a breakthrough in breaking the communication barrier for deaf-mute people. Conventional research on this subject has been concerned with training the network to recognize the fingerspelling gestures of a given language and produce their corresponding alphanumerics. One of the problems with the current developing technology is that images are scarce, with little variations in the gestures being presented to the recognition program, often skewed towards single skin tones and hand sizes that makes a percentage of the population’s fingerspelling harder to detect. Along with this, current gesture detection programs are only trained on one finger spelling language despite there being one hundred and forty-two known variants so far. All of this presents a limitation for traditional exploitation for the state of current technologies such as CNN’s, due to their large number of required parameters. This work aims to present a technology that aims to resolve this issue by combining a pretrained legacy AI system for a generic object recognition task with a corrector method to uptrain the legacy network. This is a computationally efficient procedure that does not require large volumes of data even when covering a broad range of sign languages such as American Sign Language, British Sign Language and Chinese Sign Language (Pinyin). Implementing recent results on method concentration, namely the stochastic separation theorem, an AI system is supposed as an operate mapping an input present in the set of images u ∈ U to an output that exists in a set of predicted class labels q ∈ Q of the alphanumeric that q represents and the language it comes from. These inputs and outputs, along with the interval variables z ∈ Z represent the system’s current state which implies a mapping that assigns an element x ∈ ℝⁿ to the triple (u, z, q). As all xi are i.i.d vectors drawn from a product mean distribution, over a period of time the AI generates a large set of measurements xi called S that are grouped into two categories: the correct predictions M and the incorrect predictions Y. Once the network has made its predictions, a corrector can then be applied through centering S and Y by subtracting their means. The data is then regularized by applying the Kaiser rule to the resulting eigenmatrix and then whitened before being split into pairwise, positively correlated clusters. Each of these clusters produces a unique hyperplane and if any element x falls outside the region bounded by these lines then it is reported as an error. As a result of this methodology, a self-correcting recognition process is created that can identify fingerspelling from a variety of sign language and successfully identify the corresponding alphanumeric and what language the gesture originates from which no other neural network has been able to replicate.

Keywords: convolutional neural networks, deep learning, shallow correctors, sign language

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Authors: Gabriel Odeh Ankeli

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The study determined how mentoring enhanced strategy can increase self-efficacy of secondary school students in physics in education zone C of Benue State, Nigeria. The study was guided by two research questions while two hypotheses were formulated and tested at 0.05 level of significance. The design of the study was the quasi-experimental, non-randomized, pre-test and post-test control groups. The population of the study consisted of 4,064 SS two physics students in the 94 schools in Education Zone C. The sample comprised 406 SS two physics students drawn from 10 schools using multi-stage sampling technique. The research instrument adapted and used for data collection was Students Self-Efficacy Scale (SSES). The research instrument was subjected to a reliability analysis using Cronbachs Alpha which yielded a reliability co-efficient of 0.84. Data collected were analyzed using discriptive statistics of mean and standard deviation to answer the research questions while inferential statistics of Analysis of Covariance (ANCOVA) was used to test the hypotheses. The findings revealed that students who were exposed to mentoring exhibited lower self-efficacy levels (F 1,405 = 2.751, P = 0.09˃0.05) than those students who were not exposed to mentoring. There was significant difference between male and female students’ self-efficacy level (F 1,211 = 5.496, P = 0.02˂0.05). Based on these findings, it was recommended among others that longer duration of mentoring period should be encouraged when using the mentoring strategy for better enhancement of Self-efficacy of students.

Keywords: physics, self-efficacy, mentoring enhanced strategy, students

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Authors: Lei Li, Ping Yin, Haneen Khreis

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Stroke is the second leading cause of death and a third leading cause of death and disability worldwide in 2019. Given the significant role of environmental factors in stroke development and progression, it is essential to investigate the effect of air pollution on stroke occurrence while considering the modifying effects of meteorological variables. This study aimed to evaluate the association between short-term exposure to air pollution and the incidence of stroke subtypes in Shenzhen, China, and to explore the potential interactions of meteorological factors with air pollutants. The study analyzed data from January 1, 2006, to December 31, 2014, including 88,214 cases of ischemic stroke and 30,433 cases of hemorrhagic stroke among residents of Shenzhen. Using a time-stratified case–crossover design with conditional quasi-Poisson regression, the study estimated the percentage changes in stroke morbidity associated with short-term exposure to nitrogen dioxide (NO₂), sulfur dioxide (SO₂), particulate matter less than 10 mm in aerodynamic diameter (PM10), carbon monoxide (CO), and ozone (O₃). A five-day moving average of air pollution was applied to capture the cumulative effects of air pollution. The estimates were further stratified by sex, age, education level, and season. The additive and multiplicative interaction between air pollutants and meteorologic variables were assessed by the relative excess risk due to interaction (RERI) and adding the interactive term into the main model, respectively. The study found that NO₂ was positively associated with ischemic stroke occurrence throughout the year and in the cold season (November through April), with a stronger effect observed among men. Each 10 μg/m³ increment in the five-day moving average of NO₂ was associated with a 2.38% (95% confidence interval was 1.36% to 3.41%) increase in the risk of ischemic stroke over the whole year and a 3.36% (2.04% to 4.69%) increase in the cold season. The harmful effect of CO on ischemic stroke was observed only in the cold season, with each 1 mg/m³ increment in the five-day moving average of CO increasing the risk by 12.34% (3.85% to 21.51%). There was no statistically significant additive interaction between individual air pollutants and temperature or relative humidity, as demonstrated by the RERI. The interaction term in the model showed a multiplicative antagonistic effect between NO₂ and temperature (p-value=0.0268). For hemorrhagic stroke, no evidence of the effects of any individual air pollutants was found in the whole population. However, the RERI indicated a statistically additive and multiplicative interaction of temperature on the effects of PM10 and O₃ on hemorrhagic stroke onset. Therefore, the insignificant conclusion should be interpreted with caution. The study suggests that environmental NO₂ and CO might increase the morbidity of ischemic stroke, particularly during the cold season. These findings could help inform policy decisions aimed at reducing air pollution levels to prevent stroke and other health conditions. Additionally, the study provides valuable insights into the interaction between air pollution and meteorological variables, which underscores the need for further research into the complex relationship between environmental factors and health.

Keywords: air pollution, meteorological variables, interactive effect, seasonal pattern, stroke

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Authors: Sahra Setorg

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The purpose of this study was to determine the effect of meta-cognitive therapy on meta-cognitive defects and emotional regulation in industrial substance dependence patients. This quasi-experimental research was conducted with post-test and two-month follow-up design with control and experimental groups. The statistical population consisted of all industrial Substance dependence patients refer to addictive withdrawal clinics in Esfahan city, in Iran in 2013. 45 patients were selected from three clinics through the convenience sampling method and were randomly divided into two experimental groups (15 crack dependences, 15 amphetamine dependences) and one control group (n=15). The meta-cognitive questionnaire (MCQ) and difficulties in emotional regulation questionnaire (DERS) were used as pre-test measures and the experimental groups (crack and amphetamine) received 8 MC therapy sessions in groups. The data were analyzed via multivariate covariance statistic method by spss-18. The results showed that MCT had a significant effect in improving the meta-cognitive defects in crack and amphetamine dependences. Also, this therapy can increase the emotional regulation in both groups (p<0/05).The effect of this therapy is confirmed in two months followup. According to these findings, met-cognitive is as an interface and important variable in prevention, control, and treatment of the new industrial substance dependences.

Keywords: meta-cognitive therapy, meta-cognitive defects, emotional regulation, substance dependence disorder

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Authors: C. A. Sharma, Birendra P. Singh

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We recovered 40 well preserved ribbon-shaped, meandering specimens of S. ningqiangensis from the Earthy Dolomite Member (Krol Group) and calcareous siltstone beds of the Earthy Siltstone Member (Tal Group) showing closely spaced annulations that lacked branching. The beginning and terminal points are indistinguishable. In certain cases, individual specimens are characterized by irregular, low-angle to high-angle sinuosity. It has been variously described as body fossil, ichnofossil and algae. Detailed study of this enigmatic fossil is needed to resolve the long standing controversy regarding its phylogenetic and stratigraphic placements, which will be an important contribution to the evolutionary history of metazoans. S. ningqiangensis has been known from the late Neoproterozoic (Ediacaran) of southern and central China (Sichuan, Shaanxi, Quinghai and Guizhou provinces and Ningxia Hui Autonomous region), Siberian platform and across Pc/C Boundary from latest Neoprterozoic to earliest Cambrian of northern India. Shaanxilithes is considered an Ediacaran organism that spans the Precambrian–Cambrian boundary, an interval marked by significant taphonomic and ecological transformations that include not only innovation but also probable extinction. All the past well constrained finds of S. ningqiangensis are restricted to Ediacaran age. However, due to the new recoveries of the fossil from Nigalidhar Syncline, the stratigraphic status of S. ningqiangensis-bearing Earthy Siltstone Member of the Shaliyan Formation of the Tal Group (Cambrian) is rendered uncertain, though the overlying Chert Member in the adjoining Korgai Syncline has yielded definite early Cambrian acritarchs. The moot question is whether the Earthy Siltstone Member represents an Ediacaran or an early Cambrian age?. It would be interesting to find if Shaanxilithes, so far known from Ediacaran sequences, could it transgress to the early Cambrian or in simple words could it withstand the Pc/C Boundary event? GC-MS data shows the S. ningqiangensis structure is formed by hydrocarbon organic compounds which are filled with inorganic elements filler like silica, Calcium, phosphorus etc. The S. ningqiangensis structure is a mixture of organic compounds of high molecular weight, containing several saturated rings with hydrocarbon chains having an occasional isolated carbon-carbon double bond and also containing, in addition, to small amounts of nitrogen, sulfur and oxygen. Data also revealed that the presence of nitrogen which would be either in the form of peptide chains means amide/amine or chemical form i.e. nitrates/nitrites etc. The formula weight and the weight ratio of C/H shows that it would be expected for algae derived organics, since algae produce fatty acids as well as other hydrocarbons such as cartenoids.

Keywords: GC-MS Analysis, lesser himalaya, Pc/C Boundary, shaanxilithes

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Authors: K. R. Thabethe, G. A. Adefolaju, M. J. Hosie

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Cervical cancer is the third most commonly diagnosed cancer globally and it is one of three AIDS defining malignancies. Highly active antiretroviral therapy (HAART) is a combination of three or more antiretroviral drugs and has been shown to play a significant role in reducing the incidence of some AIDS defining malignancies, although its effect on cervical cancer is still unclear. The aim of this study was to investigate the relationship between cervical cancer and HAART. This was achieved by studying the expression of two signalling molecules expressed in cervical cancer; MUC1 and P65. Following the 24 hour treatment of a cervical cancer cell line, HCS-2, with drugs which are commonly used as part of HAART at their clinical plasma concentrations, real-time qPCR and immunofluorescence were used in order to study gene and protein expression. A one way ANOVA followed by a Tukey Kramer Post Hoc test was conducted using JMP 11 software on both sets of data. The drug classified as a protease inhibitor (PI) (i.e. LPV/r) reduced MUC1 and P65 gene and protein expression more than the other drug tested. PIs are known to play a significant role in cell death, therefore the cells were thought to be more susceptible to cell death following treatment with PIs. In conclusion, the drugs used, especially the PI showed some anticancer effects by facilitating cell death through decreased gene and protein expression of MUC1 and P65 and present promising agents for cancer treatment.

Keywords: cervical cancer, haart, MUC1, P65

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Authors: Chowdhury Md. Navim Kabir

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Renal impairment is one of the most severe non-communicable diseases around the world. Especially patients with diagnosed/newly diagnosed renal impairment who need surgery are more focused on preoperative and postoperative preparation. Serum creatinine is the prime biochemical marker for assessing renal function, and the level of impairment is widely measured by this marker as well as Glomerular Filtration Rate (GFR). Objective: Factors responsible for fluctuating serum creatinine during preoperative and postoperative periods and minimizing the process of serum creatinine is the ultimate goal of this study. Method: 37 patients participated in this cross-sectional study who were previously diagnosed/newly diagnosed. They were admitted to different tertiary-level hospitals for emergency or elective surgery. Fifteen patients were admitted in the renal function impairment stage and 22 were admitted as normal patients’. Values of creatinine at the pre-admission stage and 2nd/3rd post-admission follow-up were compared. Results: 0.41 was the average of 22 patients' creatinine between pre-admission and 2nd/3rd follow-up. The responsible factor like prolonged staying, immobilization, co-morbidities, different preoperative antibiotics and Non-Steroidal Anti Inflammatory Drugs (NSAIDs) were also inducers for creatinine elevation. After postoperative hemodialysis rapid decrease of creatinine is seen in normal patients, but this decrease is very much minor in Chronic Kidney Disease (CKD) diagnosed patients.

Keywords: CKD, Meropenam, NSAID, comorbidities, immobilized

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Authors: Z. Komeili, Sh. Abadikhah, H. Talebi

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Interaction and negotiation of meaning in the foreign language (FL) contexts are crucial to L2 development. Although research studies on children in EFL contexts have increased in recent years, the study of Iranian children negotiating meaning during their communicative task performance still needs further study. The purpose of this study was to investigate young EFL learners' interaction and negotiation of meaning (NoM) during task completion and examine the difference in meaning negotiation between the different proficiency levels and the association between the learners’ proficiency levels and their transfer of knowledge. The participants were twenty-eight young Iranian EFL learners forming 14 proficiency-matched dyads and were assigned into two different groups according to their proficiency levels. The dyads were asked to complete the collaborative task; their interaction was transcribed and analyzed in terms of their NoM. To test the transfer of knowledge to the subsequent performance, tailor-made tests were designed based on the NoM of each individual dyad. The results indicated a significant positive relationship between the learners’ level of proficiency and their transfer of knowledge to the subsequent performance. Our findings suggest that the elementary group had engaged in more negotiation of meaning compared to the intermediate group, and the higher the proficiency level, the better they performed in the post-test and benefited from the NoM. The study has some implications for researchers, teachers, and young learners.

Keywords: collaborative tasks, negotiation of meaning, proficiency levels, sociocultural theory, tailor-made test

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Authors: Hossain A., Chowdhury S. I.

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Introduction: The use of a gamma camera is a standard procedure in nuclear medicine facilities or hospitals to diagnose chronic kidney disease (CKD), but the gamma camera does not precisely stage the disease. The authors sought to determine whether they could use an artificial neural network to determine whether CKD was in normal or abnormal stages based on GFR values (ANN). Method: The 250 kidney patients (Training 188, Testing 62) who underwent an ultrasonography test to diagnose a renal test in our nuclear medical center were scanned using a gamma camera. Before the scanning procedure, the patients received an injection of ⁹⁹ᵐTc-DTPA. The gamma camera computes the pre- and post-syringe radioactive counts after the injection has been pushed into the patient's vein. The artificial neural network uses the softmax function with cross-entropy loss to determine whether CKD is normal or abnormal based on the GFR value in the output layer. Results: The proposed ANN model had a 99.20 % accuracy according to K-fold cross-validation. The sensitivity and specificity were 99.10 and 99.20 %, respectively. AUC was 0.994. Conclusion: The proposed model can distinguish between normal and abnormal stages of CKD by using an artificial neural network. The gamma camera could be upgraded to diagnose normal or abnormal stages of CKD with an appropriate GFR value following the clinical application of the proposed model.

Keywords: artificial neural network, glomerular filtration rate, stages of the kidney, gamma camera

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Authors: Evelyn Smith, Susan Simpson

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Background: Eating disorder (ED) treatment is complicated by high rates of chronicity, comorbidity, complex personality traits and client dropout. Given these complexities, Schema Therapy (ST) has been identified as a suitable treatment option. The study primarily aims to evaluate the efficacy of group ST for the treatment of EDs. The study further evaluated the effectiveness of ST in reducing schemas and improving quality of life. Method: Participant suitability was ascertained using the Eating Disorder Examination. Following this, participants attended 90-minute weekly group sessions over 25 weeks. Groups consisted of six to eight participants and were facilitated by two psychologists, at least one of who is trained in ST. Measures were completed at pre, mid and post-treatment. Measures assessed ED symptoms, cognitive schemas, schema mode presentations, quality of life, self-compassion and psychological distress. Results: As predicted, measures of ED symptoms were significantly reduced following treatment. No significant changes were observed in early maladaptive schema severity; however, reductions in schema modes were observed. Participants did not report improvements in general quality of life measures following treatment, though improvement in psychological well-being was observed. Discussion: Overall, the findings from the current study support the use of group ST for the treatment of EDs. It is expected that lengthier treatment is needed for the reduction in schema severity. Given participant dropout was considerably low, this has important treatment implications for the suitability of ST for the treatment of EDs.

Keywords: eating disorders, schema therapy, treatment, quality of life

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Authors: Rita Chattopadhyay, Vivek Anand Thoutam

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Speech is the most acceptable means of communication where we can quickly exchange our feelings and thoughts. Quite often, people can communicate orally but cannot interact or work with computers or devices. It’s easy and quick to give speech commands than typing commands to computers. In the same way, it’s easy listening to audio played from a device than extract output from computers or devices. Especially with Robotics being an emerging market with applications in warehouses, the hospitality industry, consumer electronics, assistive technology, etc., speech-based human-machine interaction is emerging as a lucrative feature for robot manufacturers. Considering this factor, the objective of this paper is to design the “Audio-Visual Co-Data Processing Pipeline.” This pipeline is an integrated version of Automatic speech recognition, a Natural language model for text understanding, object detection, and text-to-speech modules. There are many Deep Learning models for each type of the modules mentioned above, but OpenVINO Model Zoo models are used because the OpenVINO toolkit covers both computer vision and non-computer vision workloads across Intel hardware and maximizes performance, and accelerates application development. A speech command is given as input that has information about target objects to be detected and start and end times to extract the required interval from the video. Speech is converted to text using the Automatic speech recognition QuartzNet model. The summary is extracted from text using a natural language model Generative Pre-Trained Transformer-3 (GPT-3). Based on the summary, essential frames from the video are extracted, and the You Only Look Once (YOLO) object detection model detects You Only Look Once (YOLO) objects on these extracted frames. Frame numbers that have target objects (specified objects in the speech command) are saved as text. Finally, this text (frame numbers) is converted to speech using text to speech model and will be played from the device. This project is developed for 80 You Only Look Once (YOLO) labels, and the user can extract frames based on only one or two target labels. This pipeline can be extended for more than two target labels easily by making appropriate changes in the object detection module. This project is developed for four different speech command formats by including sample examples in the prompt used by Generative Pre-Trained Transformer-3 (GPT-3) model. Based on user preference, one can come up with a new speech command format by including some examples of the respective format in the prompt used by the Generative Pre-Trained Transformer-3 (GPT-3) model. This pipeline can be used in many projects like human-machine interface, human-robot interaction, and surveillance through speech commands. All object detection projects can be upgraded using this pipeline so that one can give speech commands and output is played from the device.

Keywords: OpenVINO, automatic speech recognition, natural language processing, object detection, text to speech

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Authors: Baha Eddine Aissou, Aichouche Belhadj Aissa

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Light detection and ranging (LiDAR) is an active remote sensing technology used for several applications. Airborne LiDAR is becoming an important technology for the acquisition of a highly accurate dense point cloud. A classification of airborne laser scanning (ALS) point cloud is a very important task that still remains a real challenge for many scientists. Support vector machine (SVM) is one of the most used statistical learning algorithms based on kernels. SVM is a non-parametric method, and it is recommended to be used in cases where the data distribution cannot be well modeled by a standard parametric probability density function. Using a kernel, it performs a robust non-linear classification of samples. Often, the data are rarely linearly separable. SVMs are able to map the data into a higher-dimensional space to become linearly separable, which allows performing all the computations in the original space. This is one of the main reasons that SVMs are well suited for high-dimensional classification problems. Only a few training samples, called support vectors, are required. SVM has also shown its potential to cope with uncertainty in data caused by noise and fluctuation, and it is computationally efficient as compared to several other methods. Such properties are particularly suited for remote sensing classification problems and explain their recent adoption. In this poster, the SVM classification of ALS LiDAR data is proposed. Firstly, connected component analysis is applied for clustering the point cloud. Secondly, the resulting clusters are incorporated in the SVM classifier. Radial basic function (RFB) kernel is used due to the few numbers of parameters (C and γ) that needs to be chosen, which decreases the computation time. In order to optimize the classification rates, the parameters selection is explored. It consists to find the parameters (C and γ) leading to the best overall accuracy using grid search and 5-fold cross-validation. The exploited LiDAR point cloud is provided by the German Society for Photogrammetry, Remote Sensing, and Geoinformation. The ALS data used is characterized by a low density (4-6 points/m²) and is covering an urban area located in residential parts of the city Vaihingen in southern Germany. The class ground and three other classes belonging to roof superstructures are considered, i.e., a total of 4 classes. The training and test sets are selected randomly several times. The obtained results demonstrated that a parameters selection can orient the selection in a restricted interval of (C and γ) that can be further explored but does not systematically lead to the optimal rates. The SVM classifier with hyper-parameters is compared with the most used classifiers in literature for LiDAR data, random forest, AdaBoost, and decision tree. The comparison showed the superiority of the SVM classifier using parameters selection for LiDAR data compared to other classifiers.

Keywords: classification, airborne LiDAR, parameters selection, support vector machine

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Authors: Reem Muaid, Thomas Chesney

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Background: Attitude towards organ donation is predominantly positive in the UK; however, the donation rate remains low. To develop more effective interventions, this research aims to examine the behavioural barriers in organ donations using Q methodology to elicit patterns of overlap among different barriers and motivators. Method: A Q methodology study was conducted with 40 participants aged 19-64 who were asked to rank 47 statements on issues that are associated with organ donation. By-person factor analysis using Centroid method and Varimax rotation was conducted to bring out patterns in the way statements were ranked to obtain groupings of participants who had arranged the statements in similar fashion. Results: Four viewpoints were extracted: The Realist, the Optimist Hesitant, the Pessimist Determinant, and the Empathetic. Salient barriers to organ donation presented in each viewpoint suggest that perceived lack of knowledge, anxiety, mistrust in the healthcare system, and lack of cue to action are the main barriers to organ donation. Consensus statements suggest that religion and family agreement are inconsequential if the attitude to organ donation is well-formed. Conclusion: There are different attitudes around deceased organ donation that were uncovered using Q methodology. These results suggest that people respond to behavioural change campaigns differently depending on their own perceptions of organ donation. We argue that a paradigm shift in behavioural interventions is underpinned by understanding the overlapping yet distinctive nature of perceived perspectives.

Keywords: organ donation, Q methodology, behavioural interventions, post Q Survey

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Authors: Rosemarie Basile, Maria Loizos, John Pallarino, Karen Gibbs

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Given that complications can be significant following bariatric surgery and with rates of long-term success measured in excess weight loss varying as low as 33% after five years, an understanding of the psychological factors that may mitigate findings and increase success and result in better screening and supports prior to surgery are critical. An internally oriented locus of control (LOC) has been identified as a predictor for success in obesity therapy, but has not been investigated within the context of bariatric surgery. It is hypothesized that making behavioral changes prior to surgery which mirror those that are required post-surgery may ultimately predict long-term success. 122 subjects participated in a clinical interview and completed self-report measures including the Multidimensional Health Locus of Control Scale, Overeating Questionnaire (OQ), and Lifestyle Questionnaire (LQ). Pearson correlations were computed between locus of control orientation and likelihood to make behavior changes prior to surgery. Pearson correlations revealed a positive correlation between locus of control and likelihood to make behavior changes r = 0.23, p < .05. As hypothesized, there was a significant correlation between internal locus of control and likelihood to make behavior changes. Participants with a higher LOC believe that they are able to make decisions about their own health. Future research will focus on whether this positive correlation is a predictor for future bariatric surgery success.

Keywords: bariatric surgery, behavior modification, health locus of control, overeating questionnaire

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Authors: Ozoji Bernadette, Sa’Ad-Abdullahi Abdulhafiz, Izundu Chike Leo

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The study investigated the effect of Jigsaw strategy on senior secondary school students’ achievement in Maitagari, Jigawa State, Nigeria. The pre-test, post-test quasi experimental design was employed in the study. The sample for the study comprised 120 students from two public schools from the study area. An instrument namely, Ecological Achievement Test (EAT) was used to collect data from students. The data were analyzed using SPSS version 26.0. The EAT was validated by two experts, one, in Science Education unit and the other in Research, Measurement and Evaluation unit, both in the Faculty of Education, University of Jos, Nigeria. The reliability coefficient of the EAT was established as 0.85 using Kuder Richardson Formular 20. Mean and standard deviation were used to answer two research questions while Analysis of Covariance was used to test two hypotheses that guided the study. Results showed that students taught using jigsaw strategy achieved significantly better than their counterparts taught using the conventional method in ecology. Furthermore, it was revealed that gender had no significant influence on achievement of students exposed to jigsaw strategy. It was concluded that jigsaw strategy was effective in improving students’ achievement in ecology. The study recommended that teachers should incorporate jigsaw strategy into science classrooms for improved achievement outcome and gender equality.

Keywords: achievement, ecology, jigsaw strategy, lecture strategy

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Authors: Nana Kwasi Amoateng

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The paper uses secondary information to investigate some longstanding limitations in International Relations (IR) theory. Specifically, the analysis highlights IR theory through the lens of J. C. Sharman’s brilliant concept of outside-in state-building logic in which some states, particularly those in Africa, have relied mainly on foreign resources to address local threats. The key findings are that IR theory has been largely understood from the perspective of an inside-out state-building logic, whereby Western and other advanced states have heavily relied on local resources to address foreign threats. In this vein, IR theorists, including Critical Theorists, have not been able to fully grasp African states and states elsewhere that have generally relied on an outside-in logic of state-building. The paper helps to fill a major gap in IR theory, which has mainly addressed criticisms of being Euro- or Western-centric or failing to include the unique experiences of states and other actors in the Global South by developing critical theories such as post-colonial theory and neo-colonialism. Although this has helped to understand some experiences of actors in the Global South, the fundamental difference between state-building in the West and the Global South, particularly Africa, has not been adequately explored to fully comprehend why, despite the works of Critical Theorists, IR theory still fails to capture many political and socioeconomic realities in Africa and elsewhere.

Keywords: international relations theory, outside-in state-building logic, inside-out state-building logic, Africa

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Authors: Anusmita Das

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In the post-industrial scenario, cities in India have become critical sites of negotiation and are expected to become some of the largest urban agglomeration of the twenty-first century. This has created a pluralist identity resulting in a new multifarious urbanism pervading throughout the entire urban landscape. There is an ambiguity regarding the character of present day Indian cities with new meanings emerging and no methodical study to understand them. More than an abstract diagram, the present day cities can be looked at as an ensemble of meanings. One of the ways in which the meaning is reflected is through events. Festivals such as Diwali, Dussera, Durga Puja, Ganesh Chaturthi, etc have transpired as the phenomenon of the city, and their presence in the everyday landscape weaves itself through the urban fabric dominating the popular visual culture of Indian cities. Festivals influence people’s idea of a city. Ritual, festival, celebrations are important in shaping of the urban environment and in their influence on the intangible aspect of the urban setting. These festivals pertaining to the city in motion have emerged as the symbolic image of the emerging urban Indian condition giving birth to new urban identities. The study undertaken to understand the present context of temporality of Indian cities is important in analyzing the process of its formation and transformation. This study aims to review the evolution of new dimensions of urbanism in India as well as its implication on the identity of cities.

Keywords: urban identities, urban design, festivals, rituals, celebrations, inter-disciplinary study

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Authors: Tiina Brandt, Isaac Wanasika

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Culturally diverse global companies need to understand cultural differences between leaders and employees from different backgrounds. Communication is culturally contingent and has a significant impact on effective execution of leadership goals. The awareness of cultural variations related to communication and interactions will help leaders modify their own behavior, and consequently improve the execution of goals and avoid unnecessary faux pas. Our focus is on young adults that have experienced cultural integration, culturally diverse surroundings in schools and universities, and cultural travels. Our central research problem is to understand the impact of different national cultures on communication. We focus on four countries with distinct national cultures and spatial distribution. The countries are Finland, Indonesia, Russia and USA. Our sample is based on business students (n = 225) from various backgrounds in the four countries. Their responses of communication and leadership styles were analyzed using ANOVA and post-hoc test. Results indicate that culture impacts on communication behavior. Even young culturally-exposed adults with cultural awareness and experience demonstrate cultural differences in their behavior. Apparently, culture is a deeply seated trait that cannot be completely neutralized by environmental variables. Our study offers valuable input for leadership training programs and for expatriates when recognizing specific differences on leaders’ behavior due to culture.

Keywords: communication, culture, interaction, leadership

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Authors: M. Gholinjad Kordan, M. Ghasemi, S. Fazelifar

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Aim: liver plays a role in an astounding number of bodily functions: it helps with blood sugar regulation; metabolizes hormones; and traps and breaks down bacteria and toxins. Unfortunately, bodily demands can overwhelm your liver. Massage therapy can help by restoring healthy circulation and speeding the elimination of toxins. Apium graveolens has antioxidant property because of its flavonoid compounds. The purpose of this study was to determine Effect of massage and graveolens consumption on liver markers in women. Methodology: forty non-athlete male students were randomly divided into four groups: 1-control, 2-massage, 3-massage and graveolens and 4-graveolens. Amount of 5cc Blood sampling were obtained pre-test and post-test (after 12 weeks). Subjects received Russian massage for 8 weeks and 3 days a week for 20 minutes. Also, Complementary groups received the capsule supplement of graveolens after eating for twelve weeks and three times a day. Data was analyzed with One way ANOVA and tukey in p < 0/05. Results: Based on research findings, twelve weeks massage and graveolens consumption lead to a significant decrease in enzymes activity of ALT, AST and ALP in sedentary women. Conclusion: Results of This study shows that massage or graveolens consumption and especially combination of both can be used as desirable threpatic method in order to reduce or improve symptoms caused by excess weight, especially the liver damage.

Keywords: massage, graveolens, liver markers, sedentary women

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Authors: Roberta Martino, Viviana Ventre

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Every day we face choices whose consequences are deferred in time. These types of choices are the intertemporal choices and play an important role in the social, economic, and financial world. The Discounted Utility Model is the mathematical model of reference to calculate the utility of intertemporal prospects. The discount rate is the main element of the model as it describes how the individual perceives the indeterminacy of subsequent periods. Empirical evidence has shown a discrepancy between the behavior expected from the predictions of the model and the effective choices made from the decision makers. In particular, the term temporal inconsistency indicates those choices that do not remain optimal with the passage of time. This phenomenon has been described with hyperbolic models of the discount rate which, unlike the linear or exponential nature assumed by the discounted utility model, is not constant over time. This paper explores the problem of inconsistency by tracing the decision-making process through the concept of impatience. The degree of impatience and the degree of decrease of impatience are two parameters that allow to quantify the weight of emotional factors and cognitive limitations during the evaluation and selection of alternatives. In fact, although the theory assumes perfectly rational decision makers, behavioral finance and cognitive psychology have made it possible to understand that distortions in the decision-making process and emotional influence have an inevitable impact on the decision-making process. The degree to which impatience is diminished is the focus of the first part of the study. By comparing consistent and inconsistent preferences over time, it was possible to verify that some anomalies in the discounted utility model are a result of the combination of cognitive bias and emotional factors. In particular: the delay effect and the interval effect are compared through the concept of misperception of time; starting from psychological considerations, a criterion is proposed to identify the causes of the magnitude effect that considers the differences in outcomes rather than their ratio; the sign effect is analyzed by integrating in the evaluation of prospects with negative outcomes the psychological aspects of loss aversion provided by Prospect Theory. An experiment implemented confirms three findings: the greatest variation in the degree of decrease in impatience corresponds to shorter intervals close to the present; the greatest variation in the degree of impatience occurs for outcomes of lower magnitude; the variation in the degree of impatience is greatest for negative outcomes. The experimental phase was implemented with the construction of the hyperbolic factor through the administration of questionnaires constructed for each anomaly. This work formalizes the underlying causes of the discrepancy between the discounted utility model and the empirical evidence of preference reversal.

Keywords: decreasing impatience, discount utility model, hyperbolic discount, hyperbolic factor, impatience

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Authors: Emmanuel O. Ezim, Idowu A. Olayinka, Michael Oladunjoye, Izuchukwu I. Obiadi

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Monitoring of reservoir properties prior to well placements and production is a requirement for optimisation and efficient oil and gas production. This is usually done using well log analyses and 3-D seismic, which are often prone to errors. However, 4-D (Time-lapse) seismic, incorporating numerous 3-D seismic surveys of the same field with the same acquisition parameters, which portrays the transient changes in the reservoir due to production effects over time, could be utilised because it generates better resolution. There is, however dearth of information on the applicability of this approach in the Niger Delta. This study was therefore designed to apply 4-D seismic, well-log and geologic data in monitoring of reservoirs in the EK field of the Niger Delta. It aimed at locating bypassed accumulations and ensuring effective reservoir management. The Field (EK) covers an area of about 1200km2 belonging to the early (18ma) Miocene. Data covering two 4-D vintages acquired over a fifteen-year interval were obtained from oil companies operating in the field. The data were analysed to determine the seismic structures, horizons, Well-to-Seismic Tie (WST), and wavelets. Well, logs and production history data from fifteen selected wells were also collected from the Oil companies. Formation evaluation, petrophysical analysis and inversion alongside geological data were undertaken using Petrel, Shell-nDi, Techlog and Jason Software. Well-to-seismic tie, formation evaluation and saturation monitoring using petrophysical and geological data and software were used to find bypassed hydrocarbon prospects. The seismic vintages were interpreted, and the amounts of change in the reservoir were defined by the differences in Acoustic Impedance (AI) inversions of the base and the monitor seismic. AI rock properties were estimated from all the seismic amplitudes using controlled sparse-spike inversion. The estimated rock properties were used to produce AI maps. The structural analysis showed the dominance of NW-SE trending rollover collapsed-crest anticlines in EK with hydrocarbons trapped northwards. There were good ties in wells EK 27, 39. Analysed wavelets revealed consistent amplitude and phase for the WST; hence, a good match between the inverted impedance and the good data. Evidence of large pay thickness, ranging from 2875ms (11420 TVDSS-ft) to about 2965ms, were found around EK 39 well with good yield properties. The comparison between the base of the AI and the current monitor and the generated AI maps revealed zones of untapped hydrocarbons as well as assisted in determining fluids movement. The inverted sections through EK 27, 39 (within 3101 m - 3695 m), indicated depletion in the reservoirs. The extent of the present non-uniform gas-oil contact and oil-water contact movements were from 3554 to 3575 m. The 4-D seismic approach led to better reservoir characterization, well development and the location of deeper and bypassed hydrocarbon reservoirs.

Keywords: reservoir monitoring, 4-D seismic, well placements, petrophysical analysis, Niger delta basin

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Authors: Emmanuel Ayobami Adesiyan

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Political theorists have identified ethnicity as an obstacle to democratic stability in deeply divided societies. Nigeria belongs to the categories of problematic states labeled divided or deeply divided societies, as such post-independence politics is characterized by ethnicity with its ruinous effect on democratic governance and development. Institutional Engineering, the purposive manipulation of the electoral rule relating to party organization and the electoral formula has been established in comparative political studies as a policy measure for managing ethnicity in order to stabilize politics in divided societies. This paper examines the use of electoral engineering tools in managing ethnic politics in Nigeria’s Fourth Republic. The study is guided by rational institutional theory. Secondary data on electoral rules and disaggregated results of presidential elections were collected from archival documents. Data were subjected to content analysis. Institutional changes in electoral rules have promoted the development of inter-ethnic bargaining and compromises within the party system. Presidential Electoral Formula aided the emergence of national rather parochial parties. Electoral engineering tools moved Nigerian Politics from ethnic parochialism to inclusion and accommodation. These innovations should be strengthened to enhance democratic stability.

Keywords: Nigeria, presidential-elections, ethnic politics, institutional engineering

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Authors: Stephanie Guerra-Arias, Stephani Nevarez, Calvin Stewart, Rachel Grodsky, Denis Eichorst

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The objective of this study is to describe the framework for optimizing the heat treatment of alkali silicate glasses, to enhance the performance of hermetic seals in extreme environments. When connectors are exposed to elevated temperatures, residual stresses develop due to the mismatch of thermal expansions between the glass, metal pin, and metal shell. Excessive thermal expansion mismatch compromises the reliability of hermetic seals. In this study, a series of heat treatment schedules will be performed on two commercial sealing glasses (one conventional sealing glass and one crystallizable sealing glass) using a design of experiments (DOE) approach. The coefficient of thermal expansion (CTE) will be measured pre- and post-heat treatment using thermomechanical analysis (TMA). Afterwards, the flexural strength of the specimen will be measured using a four-point bend fixture mounted in a static universal testing machine. The measured material properties will be statistically analyzed using MiniTab software to determine which factors of the heat treatment process have a strong correlation to the coefficient of thermal expansion and/or flexural strength. Finally, a heat-treatment will be designed and tested to ensure the optimal performance of the hermetic seals in connectors.

Keywords: glass-ceramics, design of experiment, hermetic connectors, material characterization

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Authors: Ricardo Andrés Márquez Ortiz

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Objective: The objective of this literature review is to compile updated information from studies that have addressed the association between dental pathologies and agriculture. Materials and method: The research carried out corresponds to a documentary study of ex post facto retrospective, historiographic, and bibliometric design. An exhaustive bibliographic review search was carried out in databases and the Internet, books and articles on dental anthropology, archeology, and dentistry, on the relationship between dental pathologies and agriculture in prehistoric and current populations from different parts of the world. Subsequently, data collection was carried out through the ATLAS.ti computer program. Conclusions: In an influential article by Turner, which addresses the correlation between caries and the way of subsistence of both prehistoric and modern populations (hunting and gathering, mixed and agricultural economies), an average of 1.3% was found in hunter-gatherer societies, and 10.4% in agricultural societies. Sreebny compared global grain supply data (rice, wheat and corn) with DMF (spoiled, lost and blocked) rates. He concluded that rice has no association with dental caries, corn has a negative correlation, and wheat has a positive correlation. Additionally, intensive monoculture agricultural production systems cause an increase in dental pathologies. Meanwhile, polyculture agriculture, which leads to a more varied diet, generates a better state of dental health.

Keywords: dental pathologies, agricultural production systems, extensive agriculture, dental anthropology

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Authors: Katherine Sparks, Christopher Ring

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This study aimed to investigate whether dispositional sport-specific mindfulness moderated the moderation effect of conscious processing on the relationship between anxiety and rowing race performance. Using a sport-specific (Rowing-Specific) Reinvestment Scale (RSRS) to measure state conscious processing, we examined the effects of trait sport-related mindfulness on the conscious processes of rowers under competitive racing pressure at a number of UK regattas. 276 rowers completed a survey post competitive race. The survey included the RSRS, mindfulness, a perceived performance rating scale, demographic and race information to identify and record the rower’s actual race performance. Results from the research demonstrated that high levels of dispositional mindfulness are associated with a superior performance under pressure. In relation to the moderating moderation effect, conscious processing amplifies the detrimental effects of anxiety on performance. However, mindfulness, mindful awareness, and mindful non-judgement all proved to attenuate this amplification effect by moderating the conscious processing moderation on the anxiety-performance relationship. Therefore, this study provides initial support for the speculation that dispositional mindfulness can help prevent the deleterious effects of rowing-specific reinvestment under pressure.

Keywords: mindful, reinvestment, under pressure, performance, rowing

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Authors: Thimira Pasas P, Nirmala Priyadarshani M, Ishani R

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Obesity is a global health issue. Early identification is essential to plan interventions and intervene than to reduce the worsening of obesity and its consequences on the health issues of the individual. Childhood obesity is multifactorial, with both modifiable and unmodifiable risk factors. A genetically susceptible individual (unmodifiable), when placed in an obesogenic environment (modifiable), is likely to become obese in onset and progression. The present study was conducted to identify the age of onset of childhood obesity and the influence of modifiable risk factors for childhood obesity among school children living in a suburban area of Sri Lanka. The study population was aged 11-12 years of Piliyandala Educational Zone. Data were collected from 11–12-year-old school children attending government schools in the Piliyandala Educational Zone. They were using a validated, pre-tested self-administered questionnaire. A stratified random sampling method was performed to select schools and to select a representative sample to include all 3 types of government schools of students due to the prevailing pandemic situation, information from the last school medical inspection on data from 2020used for this purpose. For each obese child identified, 2 non-obese children were selected as controls. A single representative from the area was selected by using a systematic random sampling method with a sampling interval of 3. Data was collected using a validated, pre-tested self-administered questionnaire and the Child Health Development Record of the child. An introduction, which included explanations and instructions for filing the questionnaire, was carried out as a group activity prior to distributing the questionnaire among the sample. The results of the present study aligned with the hypothesis that the age of onset of childhood obesity and prediction must be within the first two years of child life. A total of 130 children (66 males: 64 females) participated in the study. The age of onset of obesity was seen to be within the first two years of life. The risk of obesity at 11-12 years of age was Obesity risk was identified at 3-time s higher among females who underwent rapid weight gain within their infancy period. Consuming milk prior to breakfast emerged as a risk factor that increases the risk of obesity by three times. The current study found that the drink before breakfast tends to increase the obesity risk by 3-folds, especially among obese females. Proper monitoring must be carried out to identify the rapid weight gain, especially within the first 2 years of life. Consumption of mug milk before breakfast tends to increase the obesity risk by 3 times. Identification of the confounding factors, proper awareness of the mothers/guardians and effective proper interventions need to be carried out to reduce the obesity risk among school children in the future.

Keywords: childhood obesity, school children, age of onset, weight gain, feeding pattern, activity level

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Authors: Nkosingiphile M. Mbhele, Jean Steyn

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A focus group discussion was implemented, which comprised of senior South African Police Service managers and police academics in South Africa. The measurement of solidarity, isolation, and cynicism among functional South African Police Service officials and a thirty-item questionnaire came about by reviewing the literature. This research uses a survey format to assess the police culture theme of solidarity, isolation, and cynicism among South African Police Service officers in 9 South African provinces. Although a survey format is used in research, it engages in a quasi-experimental pre-test/post-test repeated measures research (longitudinal) design. Although there are differences among South African Police Service police (SAPS) officers, overall, there are signs of solidarity, isolation, and cynicism among SAPS members. Attitudes of solidarity, isolation, and cynicism are present among most police officials and have been presented from the start of training and held, maintained, or strengthened for the next years of their SAPS careers. This issue is problematic to society with regard to community-orientated policing since they have to interact with the members of the community. To author’s best knowledge, longitudinal studies of police culture are rare to find; not much has been researched on this topic. However, this paper offers to bridge that gap by providing answers to longitudinal police attitudes towards the public within the police culture themes of isolation and cynicism attitudes.

Keywords: South African police service, police culture, solidarity, isolation, cynicism, public

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Authors: Amir Salamatzade, Marhamet HematPour

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Due to the increasing importance of psychological factors in the incidence and exacerbation of chronic diseases such as multiple sclerosis, the aim of this study was to determine the difference between emotional regulation strategies and psychological symptoms in patients with multiple sclerosis and normal people. The research method was causal-comparative (post-event). The statistical population of this research included all patients with multiple sclerosis referred to the MS Association of Rasht in the first quarter of 2021, approximately 350 people. The study sample also included 120 people (60 patients with multiple sclerosis and 60 normal people) who were selected by the available sampling method and completed the emotional regulation and anxiety, depression, and stress Lavibund and Lavibund (1995) questionnaires. Data were analyzed using an independent t-test and multivariate variance analysis. The results showed that there was a significant difference between the mean of emotional regulation strategies and the components of emotional reassessment and emotional inhibition between the two groups of patients with multiple sclerosis and normal individuals (p < 0.01). There is a significant difference between the mean of psychological symptoms and the components of depression, anxiety, and stress in the two groups of patients with multiple sclerosis and normal individuals. (p < 0.01). Based on this, it can be concluded that patients with multiple sclerosis have lower levels of emotional regulation strategies and higher levels of psychological symptoms than normal individuals.

Keywords: emotional regulation strategies, psychological symptoms, multiple sclerosis, normal Individuals

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