Search results for: clinical error
5174 12-Week Comparative Clinical Trial with Low Dose Phentermine/Topiramate with Liraglutide on Obesity in Korea
Authors: Kyu Rae Lee
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The aim of the study is to investigate the clinical efficacy of combination therapeutic modalities using liraglutide (1.2mg/d) add on low-dose phentermine (7.5 mg/d)/topiramate (50mg/d) medication on the obese patient in the bariatric clinic. We assessed the retrospective cohort clinical analyses to the clinical efficacy of medication and combination in the patients who visited the bariatric clinic. We measured all participants’ body fat (bioelectric impedance analysis), weight, height, and the cross-sectional areas of adipose tissues (umbilicus level) after keep fasting for 8 hours at 0, 4, 12 weeks. The design of the study was opened, paired t-test and Wilcoxon test were performed using SPSS for windows (ver.18, IL, USA) for comparison of weight, body fat, and adipose tissues. The participants were one hundred twenty-eight subjects aged 44.67 (1.18) years, 28.95 (0.39) kg/m², and female (82.7%). Their body fat was 40.57 (2.23%), and waist to hip ratio was 0.96 (0.01). The mean cross-sectional area of visceral adipose tissue was 142.59 (7.06) mm², and that of subcutaneous adipose was 274.37 (9.18) mm². 73 of them (57.5%) took medication only, 54 of them took medication with liraglutide for 12 weeks. The subjects in the medication group lost 5.4165 kg, 6.8069%, and those of the combination group did 6.2481 kg, 3.564%. The mean cross-sectional areas of visceral, subcutaneous adipose tissue in the medication group significantly decreased (p=.043), even more in the combination group. (p=.028). Further controlled clinical trials should be considered in the future. We conclude that the low dose of phentermine/topiramate with liraglutide therapeutic modalities would be more effective than phentermine/topiramate medication only in obesity treatment for 12 weeks.Keywords: low dose phentermine, topiramate, liraglutide, obesity, efficacy
Procedia PDF Downloads 1585173 Aggregate Supply Response of Some Livestock Commodities in Algeria: Cointegration- Vector Error Correction Model Approach
Authors: Amine M. Benmehaia, Amine Oulmane
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The supply response of agricultural commodities to changes in price incentives is an important issue for the success of any policy reform in the agricultural sector. This study aims to quantify the responsiveness of producers of some livestock commodities to price incentives in Algerian context. Time series analysis is used on annual data for a period of 52 years (1966-2018). Both co-integration and vector error correction model (VECM) are used through the Nerlove model of partial adjustment. The study attempts to determine the long-run and short-run relationships along with the magnitudes of disequilibria in the selected commodities. Results show that the short-run price elasticities are low in cow and sheep meat sectors (8.7 and 8% respectively), while their respective long-run elasticities are 16.5 and 10.5, whereas eggs and milk have very high short-run price elasticities (82 and 90% respectively) with long-run elasticities of 40 and 46 respectively. The error correction coefficient, reflecting the speed of adjustment towards the long-run equilibrium, is statistically significant and have the expected negative sign. Its estimates are 12.7 for cow meat, 33.5 for sheep meat, 46.7 for eggs and 8.4 for milk. It seems that cow meat and milk producers have a weak feedback of about 12.7% and 8.4% respectively of the previous year's disequilibrium from the long-run price elasticity, whereas sheep meat and eggs producers adjust to correct long run disequilibrium with a high speed of adjustment (33.5% and 46.7 % respectively). The implication of this is that much more in-depth research is needed to identify those factors that affect agricultural supply and to describe the effect of factors that shift supply in response to price incentives. This could provide valuable information for government in the use of appropriate policy measures.Keywords: Algeria, cointegration, livestock, supply response, vector error correction model
Procedia PDF Downloads 1415172 Clinical Case Report of Fulminating Leptospirosis in a 4-Months Old Caucasian Dog: Public Health Significance and Ramifications
Authors: N. N. Pilau, M. S. Abubakar, A. Danmaigoro, P. C. Mshelia, Y. Sani
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A severely debilitated 4months old Caucasian male dog presented dehydration, emaciation, vomiting, icteric ocular and oral mucous membranes, generalized lymphadenopathy, hematuria, anorexia and prolonged recumbency. Clinical workup was done in established protocols for diagnosis based on history, clinical signs and selected laboratory tests. Treatment course were administered over 48hours during which the patient died of overwhelming hepatopathy, nephropathy and pneumonia. Postmortem findings supported by ante mortem laboratory test results tentatively diagnosed leptospirosis, a disease endemic and presenting potentially fatal epidemics and zoonoses in some countries amongst the developing regions of the world. This disease is reviewed and a call for attention on the public health significance of the disease is hereby presented through this case report.Keywords: canine, endemic, leptospirosis, prevalence
Procedia PDF Downloads 5155171 Epidemiological and Clinical Profile of Patients with Chorioamnionitis
Authors: Isabel Cristina Ortiz Trujillo, Lina Maria Martinez Sanchez, Felipe Hernández Restrepo, Daniel Gallego Gonzalez, Natalia Vargas Grisales, Camilo Andrés Agudelo Vélez
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Chorioamnionitis, is a pregnancy infection, causes different fetal and maternal symptoms. Streptococcus agalactiae present in the normal vaginal microflora of some women, favouring its abnormal multiplication during pregnancy, causing perinatal morbidity and mortality. Objective. Describe the clinical and epidemiological profile of the patients with diagnosis of clinical chorioanmionitis. Methodology. Descriptive, cross-sectional study. The population was patients with diagnosis of clinical chorioanmionitis. The information was taken from the medical records. The research was approved by the Ethics Committee. We used the program SPSS ® version 17.0 (SPSS Inc; Chicago, Illinois, USA) for the information analysis, descriptive statistics were used. Results. 78 patients in total with clinical chorioamnionitis, with a mean age of 26.3 ±5, 8 years old, the 69.2% primigravid women. 2.6% of women had positive culture for Streptococcus agalactiae in urine sample during current pregnancy and 30.7% had received some kind of antibiotics during current pregnancy. The 57.7% had 37 to 40 weeks of gestation in the current pregnancy it was calculated more frequently by ultrasound (66.7% in first quarter, 11.5% in the second and 1.9% in the third). In a 60.3% way of termination of pregnancy was vaginal and a 35.9 percent were caesarean section. Among the women in the study, a 30.8% had premature rupture of membranes. Conclusion. The chorioamnionitis continues to be an important cause of antibiotic use during pregnancy or labour and the decision to do a caesarean, with highest percentage in pregnancies-preterm and preterm premature rupture of membranes.Keywords: chorioamnionitis, Streptococcus agalactiae, pregnancy complications, infectious
Procedia PDF Downloads 4225170 Continuous Differential Evolution Based Parameter Estimation Framework for Signal Models
Authors: Ammara Mehmood, Aneela Zameer, Muhammad Asif Zahoor Raja, Muhammad Faisal Fateh
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In this work, the strength of bio-inspired computational intelligence based technique is exploited for parameter estimation for the periodic signals using Continuous Differential Evolution (CDE) by defining an error function in the mean square sense. Multidimensional and nonlinear nature of the problem emerging in sinusoidal signal models along with noise makes it a challenging optimization task, which is dealt with robustness and effectiveness of CDE to ensure convergence and avoid trapping in local minima. In the proposed scheme of Continuous Differential Evolution based Signal Parameter Estimation (CDESPE), unknown adjustable weights of the signal system identification model are optimized utilizing CDE algorithm. The performance of CDESPE model is validated through statistics based various performance indices on a sufficiently large number of runs in terms of estimation error, mean squared error and Thiel’s inequality coefficient. Efficacy of CDESPE is examined by comparison with the actual parameters of the system, Genetic Algorithm based outcomes and from various deterministic approaches at different signal-to-noise ratio (SNR) levels.Keywords: parameter estimation, bio-inspired computing, continuous differential evolution (CDE), periodic signals
Procedia PDF Downloads 3025169 The Association of IL-17 Serum Levels with Disease Severity and Onset of Symptoms in Rheumatoid Arthritis Patients
Authors: Fatemeh Keshavarz
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Background: Rheumatoid arthritis (RA) is one of the most common autoimmune diseases, often leading to joint damage and physical disability. This study aimed to investigate the relationship of serum levels of interleukin 17 and anti-CCP factor with disease severity in RA patients. Materials and Methods: Fifty-four patients with RA confirmed by clinical and laboratory criteria were recruited. A 5 ml venous blood sample was taken from every patient, its serum was separated. Based on clinical data and severity of symptoms, patients were classified into three groups of those with mild, moderate, and severe symptoms. Serum levels of IL-17 and anti-CCP in all samples were measured using ELISA. Results: Analysis of IL-17 serum levels in different groups showed that its amount was higher in the group with mild clinical symptoms than in other groups. Comparison of IL-17 serum levels between mild and moderate disease severity groups showed a statistically significant relationship. There was also a positive linear relationship between anti-CCP and serum IL-17 levels in different groups of the disease, and serum IL-17 levels were inversely related to the duration of exposure to the disease. Conclusion: Higher IL-17 serum levels in patients with mild symptom severity confirm that this highly specific marker is involved in the pathogenesis of RA and may be effective in initiating patients’ clinical symptoms.Keywords: IL-17, anti-CCP, rheumatoid arthritis, autoimmune
Procedia PDF Downloads 1395168 Impact of Self-Efficacy, Resilience, and Social Support on Vicarious Trauma among Clinical Psychologists, Counselors, and Teachers of Special Schools
Authors: Hamna Hamid, Kashmala Zaman
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The aim of this study was to evaluate the relationship between self-efficacy, resilience, and social support among clinical psychologists, counselors, and teachers of special schools. The study also assesses the gender differences in self-efficacy, resilience, social support, and vicarious trauma and also vicarious trauma differences among three professions, i.e., clinical psychologists, counselors, and teachers of special schools. A sample of 150 women and 97 men were handed out a set questionnaire to complete: a General Self-Efficacy Scale, Brief Resilience Scale, Multidimensional Scale of Perceived Social Support, and Vicarious Trauma Scale. Results showed that there is a significant negative correlation between self-efficacy, resilience, and vicarious trauma. Women experience higher levels of vicarious trauma as compared to men. At the same time, clinical psychologists and counselors experience higher levels of vicarious trauma as compared to teachers of special schools. The moderation effect of social support is not significant towards resilience and vicarious trauma.Keywords: self-efficacy, resilience, vicarious-trauma social-support, social support
Procedia PDF Downloads 815167 Cellular Traffic Prediction through Multi-Layer Hybrid Network
Authors: Supriya H. S., Chandrakala B. M.
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Deep learning based models have been recently successful adoption for network traffic prediction. However, training a deep learning model for various prediction tasks is considered one of the critical tasks due to various reasons. This research work develops Multi-Layer Hybrid Network (MLHN) for network traffic prediction and analysis; MLHN comprises the three distinctive networks for handling the different inputs for custom feature extraction. Furthermore, an optimized and efficient parameter-tuning algorithm is introduced to enhance parameter learning. MLHN is evaluated considering the “Big Data Challenge” dataset considering the Mean Absolute Error, Root Mean Square Error and R^2as metrics; furthermore, MLHN efficiency is proved through comparison with a state-of-art approach.Keywords: MLHN, network traffic prediction
Procedia PDF Downloads 895166 Effectiveness of Clinical Practice Guidelines for Jellyfish Stings Treatment at the Emergency Room of Songkhla Hospital Thailand
Authors: Prataksitorn Chonlakan, Tiparat Wongsilarat
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The traditional clinical practice guideline used at the emergency room at Songkhla Hospital in caring for patients who come in contact with jellyfish venom took a long time for the pain to reduce to the level that patients can cope with. To investigate the effectiveness of clinical practice guidelines by comparing the effectiveness of a newly developed clinical practice guideline with the traditional clinical practice guideline in the following aspects: 1) pain reduction, 2) length of pain, 3) the rate of patient’s re-visit, 4) the rate of severe complications such as anaphylactic shock, and cardiac arrest, and death, and 5) patient satisfaction. This study employed a quasi-experimental research design. Thirty subjects were selected with purposive sampling from jellyfish-sting patients who came for treatment at the Emergency Room of Songkhla Hospital. The subjects were divided using random assignment into two groups of 15 each: an experimental group, and the control group. The control group was treated using the traditional clinical practice guideline consisting of rinsing the affected area with 0.9% normal saline, using a cloth soaked with vinegar to press against the affected area, and controlling pain using tramadol or diclofenac intramuscular injection. The data were analyzed using descriptive statistics and paired t-test at the significance level p < 0.05. The results of the study revealed the following. The pain level in the experimental group was significantly lower than that of the control group (the average pain score of the experimental group was 3.46 while that of the control group was 6.33) (p < 0.05).The length of pain in the experimental group was significantly lower than that of the control group (the average length of pain in the experimental group was 48.67 minutes while that of the control group was 105.35 minutes) (p < 0.05). The rate of re-visit within 12 hours in the experimental group was significantly lower than that of the control group (the rate of re-visit within 12 hours of the experimental group was 0.07 while that of the control group was 0.00) (p < 0.05).No severe complications such as anaphylactic shock, and cardiac arrest were found in the two groups of subjects.The rate of satisfaction among the subjects in the experimental group was significantly higher than that of the control group (the rate of satisfaction among the subjects of the experimental group was 90.00 percent while that among the control group was 66.33 percent) (p < 0.05). The newly develop clinical practice guideline could reduce pain and increase satisfaction among jellyfish-sting patients better than the traditional clinical practice guideline.Keywords: effectiveness, clinical practice guideline, jellyfish-sting patients, cardiac arrest
Procedia PDF Downloads 3515165 Profitability Assessment of Granite Aggregate Production and the Development of a Profit Assessment Model
Authors: Melodi Mbuyi Mata, Blessing Olamide Taiwo, Afolabi Ayodele David
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The purpose of this research is to create empirical models for assessing the profitability of granite aggregate production in Akure, Ondo state aggregate quarries. In addition, an artificial neural network (ANN) model and multivariate predicting models for granite profitability were developed in the study. A formal survey questionnaire was used to collect data for the study. The data extracted from the case study mine for this study includes granite marketing operations, royalty, production costs, and mine production information. The following methods were used to achieve the goal of this study: descriptive statistics, MATLAB 2017, and SPSS16.0 software in analyzing and modeling the data collected from granite traders in the study areas. The ANN and Multi Variant Regression models' prediction accuracy was compared using a coefficient of determination (R²), Root mean square error (RMSE), and mean square error (MSE). Due to the high prediction error, the model evaluation indices revealed that the ANN model was suitable for predicting generated profit in a typical quarry. More quarries in Nigeria's southwest region and other geopolitical zones should be considered to improve ANN prediction accuracy.Keywords: national development, granite, profitability assessment, ANN models
Procedia PDF Downloads 1015164 Improved Performance Scheme for Joint Transmission in Downlink Coordinated Multi-Point Transmission
Authors: Young-Su Ryu, Su-Hyun Jung, Myoung-Jin Kim, Hyoung-Kyu Song
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In this paper, improved performance scheme for joint transmission is proposed in downlink (DL) coordinated multi-point(CoMP) in case of constraint transmission power. This scheme is that serving transmission point (TP) request a joint transmission to inter-TP and selects one pre-coding technique according to channel state information(CSI) from user equipment(UE). The simulation results show that the bit error rate(BER) and throughput performances of the proposed scheme provide high spectral efficiency and reliable data at the cell edge.Keywords: CoMP, joint transmission, minimum mean square error, zero-forcing, zero-forcing dirty paper coding
Procedia PDF Downloads 5535163 Identification of Architectural Design Error Risk Factors in Construction Projects Using IDEF0 Technique
Authors: Sahar Tabarroki, Ahad Nazari
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The design process is one of the most key project processes in the construction industry. Although architects have the responsibility to produce complete, accurate, and coordinated documents, architectural design is accompanied by many errors. A design error occurs when the constraints and requirements of the design are not satisfied. Errors are potentially costly and time-consuming to correct if not caught early during the design phase, and they become expensive in either construction documents or in the construction phase. The aim of this research is to identify the risk factors of architectural design errors, so identification of risks is necessary. First, a literature review in the design process was conducted and then a questionnaire was designed to identify the risks and risk factors. The questions in the form of the questionnaire were based on the “similar service description of study and supervision of architectural works” published by “Vice Presidency of Strategic Planning & Supervision of I.R. Iran” as the base of architects’ tasks. Second, the top 10 risks of architectural activities were identified. To determine the positions of possible causes of risks with respect to architectural activities, these activities were located in a design process modeled by the IDEF0 technique. The research was carried out by choosing a case study, checking the design drawings, interviewing its architect and client, and providing a checklist in order to identify the concrete examples of architectural design errors. The results revealed that activities such as “defining the current and future requirements of the project”, “studies and space planning,” and “time and cost estimation of suggested solution” has a higher error risk than others. Moreover, the most important causes include “unclear goals of a client”, “time force by a client”, and “lack of knowledge of architects about the requirements of end-users”. For error detecting in the case study, lack of criteria, standards and design criteria, and lack of coordination among them, was a barrier, anyway, “lack of coordination between architectural design and electrical and mechanical facility”, “violation of the standard dimensions and sizes in space designing”, “design omissions” were identified as the most important design errors.Keywords: architectural design, design error, risk management, risk factor
Procedia PDF Downloads 1305162 Nursing Preceptors' Perspectives of Assessment Competency
Authors: Watin Alkhelaiwi, Iseult Wilson, Marian Traynor, Katherine Rogers
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Clinical nursing education allows nursing students to gain essential knowledge from practice experience and develop nursing skills in a variety of clinical environments. Integrating theoretical knowledge and practical skills is made easier for nursing students by providing opportunities for practice in a clinical environment. Nursing competency is an essential capability required to fulfill nursing responsibilities. Effective mentoring in clinical settings helps nursing students develop the necessary competence and promotes the integration of theory and practice. Preceptors play a considerable role in clinical nursing education, including the supervision of nursing students undergoing a rigorous clinical practicum. Preceptors are also involved in the clinical assessment of nursing students’ competency. The assessment of nursing students’ competence by professional practitioners is essential to investigate whether nurses have developed an adequate level of competence to deliver safe nursing care. Competency assessment remains challenging among nursing educators and preceptors, particularly owing to the complexity of the process. Consistency in terms of assessment methods and tools and valid and reliable assessment tools for measuring competence in clinical practice are lacking. Nurse preceptors must assess students’ competencies to prepare them for future professional responsibilities. Preceptors encounter difficulties in the assessment of competency owing to the nature of the assessment process, lack of standardised assessment tools, and a demanding clinical environment. The purpose of the study is to examine nursing preceptors’ experiences of assessing nursing interns’ competency in Saudi Arabia. There are three objectives in this study; the first objective is to examine the preceptors’ view of the Saudi assessment tool in relation to preceptorship, assessment, the assessment tool, the nursing curriculum, and the grading system. The second and third objectives are to examine preceptors’ view of "competency'' in nursing and their interpretations of the concept of competency and to assess the implications of the research in relation to the Saudi 2030 vision. The study uses an exploratory sequential mixed-methods design that involves a two-phase project: a qualitative focus group study is conducted in phase 1, and a quantitative study- a descriptive cross-sectional design (online survey) is conducted in phase 2. The results will inform the preceptors’ view of the Saudi assessment tool in relation to specific areas, including preceptorship and how the preceptors are prepared to be assessors, and assessment and assessment tools through identifying the appropriateness of the instrument for clinical practice. The results will also inform the challenges and difficulties that face the preceptors. These results will be analysed thematically for the focus group interview data, and SPSS software will be used for the analysis of the online survey data.Keywords: clinical assessment tools, clinical competence, competency assessment, mentor, nursing, nurses, preceptor
Procedia PDF Downloads 665161 Developing and Evaluating Clinical Risk Prediction Models for Coronary Artery Bypass Graft Surgery
Authors: Mohammadreza Mohebbi, Masoumeh Sanagou
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The ability to predict clinical outcomes is of great importance to physicians and clinicians. A number of different methods have been used in an effort to accurately predict these outcomes. These methods include the development of scoring systems based on multivariate statistical modelling, and models involving the use of classification and regression trees. The process usually consists of two consecutive phases, namely model development and external validation. The model development phase consists of building a multivariate model and evaluating its predictive performance by examining calibration and discrimination, and internal validation. External validation tests the predictive performance of a model by assessing its calibration and discrimination in different but plausibly related patients. A motivate example focuses on prediction modeling using a sample of patients undergone coronary artery bypass graft (CABG) has been used for illustrative purpose and a set of primary considerations for evaluating prediction model studies using specific quality indicators as criteria to help stakeholders evaluate the quality of a prediction model study has been proposed.Keywords: clinical prediction models, clinical decision rule, prognosis, external validation, model calibration, biostatistics
Procedia PDF Downloads 2975160 Feature Location Restoration for Under-Sampled Photoplethysmogram Using Spline Interpolation
Authors: Hangsik Shin
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The purpose of this research is to restore the feature location of under-sampled photoplethysmogram using spline interpolation and to investigate feasibility for feature shape restoration. We obtained 10 kHz-sampled photoplethysmogram and decimated it to generate under-sampled dataset. Decimated dataset has 5 kHz, 2.5 k Hz, 1 kHz, 500 Hz, 250 Hz, 25 Hz and 10 Hz sampling frequency. To investigate the restoration performance, we interpolated under-sampled signals with 10 kHz, then compared feature locations with feature locations of 10 kHz sampled photoplethysmogram. Features were upper and lower peak of photplethysmography waveform. Result showed that time differences were dramatically decreased by interpolation. Location error was lesser than 1 ms in both feature types. In 10 Hz sampled cases, location error was also deceased a lot, however, they were still over 10 ms.Keywords: peak detection, photoplethysmography, sampling, signal reconstruction
Procedia PDF Downloads 3685159 The Connection between the Schwartz Theory of Basic Values and Ethical Principles in Clinical Psychology
Authors: Matej Stritesky
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The research deals with the connection between the Schwartz Theory of Basic Values and the ethical principles in psychology, on which the meta-code of ethics the European Federation of Psychological Associations is based. The research focuses on ethically problematic situations in clinical psychology in the Czech Republic. Based on the analysis of papers that identified ethically problematic situations faced by clinical psychologists, a questionnaire of ethically problematic situations in clinical psychology (EPSCP) was created for the purposes of the research. The questionnaire was created to represent situations that correspond to the 4 principles on which the meta-code of ethics the European Federation of Psychological Associations is based. The questionnaire EPSCP consists of descriptions of 32 situations that respondents evaluate on a scale from 1 (psychologist's behaviour is ethically perfectly fine) to 10 (psychologist's behaviour is ethically completely unacceptable). The EPSCP questionnaire, together with Schwartz's PVQ questionnaire, will be presented to 60 psychology students. The relationship between principles in clinical psychology and the values on Schwartz´s value continuum will be described using multidimensional scaling. A positive correlation is assumed between the higher-order value of openness to change and problematic ethical situations related to the principle of integrity; a positive correlation between the value of the higher order of self-transcendence and the principle of respect and responsibility; a positive correlation between the value of the higher order of conservation and the principle of competence; and negative correlation between the value of the higher order of ego strengthening and sensitivity to ethically problematic situations. The research also includes an experimental part. The first half of the students are presented with the code of ethics of the Czech Association of Clinical Psychologists before completing the questionnaires, and to the second half of the students is the code of ethics presented after completing the questionnaires. In addition to reading the code of ethics, students describe the three rules of the code of ethics that they consider most important and state why they chose these rules. The output of the experimental part will be to determine whether the presentation of the code of ethics leads to greater sensitivity to ethically problematic situations.Keywords: clinical psychology, ethically problematic situations in clinical psychology, ethical principles in psychology, Schwartz theory of basic values
Procedia PDF Downloads 1125158 Maximum Initial Input Allowed to Iterative Learning Control Set-up Using Singular Values
Authors: Naser Alajmi, Ali Alobaidly, Mubarak Alhajri, Salem Salamah, Muhammad Alsubaie
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Iterative Learning Control (ILC) known to be a controlling tool to overcome periodic disturbances for repetitive systems. This technique is required to let the error signal tends to zero as the number of operation increases. The learning process that lies within this context is strongly dependent on the initial input which if selected properly tends to let the learning process be more effective compared to the case where a system starts from blind. ILC uses previous recorded execution data to update the following execution/trial input such that a reference trajectory is followed to a high accuracy. Error convergence in ILC is generally highly dependent on the input applied to a plant for trial $1$, thus a good choice of initial starting input signal would make learning faster and as a consequence the error tends to zero faster as well. In the work presented within, an upper limit based on the Singular Values Principle (SV) is derived for the initial input signal applied at trial $1$ such that the system follow the reference in less number of trials without responding aggressively or exceeding the working envelope where a system is required to move within in a robot arm, for example. Simulation results presented illustrate the theory introduced within this paper.Keywords: initial input, iterative learning control, maximum input, singular values
Procedia PDF Downloads 2415157 Staphylococcal Enterotoxins Play an Important Role in Clinical Signs in Bovine Mastitis
Authors: Stéfani T. A. Dantas, Laura T. S. Takume, Bruna F. Rossi, Érika R. Bonsaglia, Ivana G. Castilho, José C. F. Pantoja, Ary Fernandes Júnior, Juliano L. Gonçalves, Marcos V. Santos, Rinaldo A. Mota, Vera L. M. Rall
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Staphylococcus aureus is one of the main pathogens causing contagious bovine mastitis, being more frequently isolated from subclinical form, although the clinical form also occurs. Clinical mastitis cause visual signs, such as swelling, fever, hardening of the mammary gland, or any change in the characteristics of the milk. Considering the subclinical type, there are no visible signs in the animal nor changes in the milk. S. aureus has many important virulence factors for the establishment of its pathogenicity in animals, such as enterotoxins, which are also responsible for foodborne poisoning. Our objective is to perform a comparative analysis between 103 isolates of S. aureus, obtained from the milk of cows with clinical mastitis and 103 more, from subclinical type, in relation to the presence of these enterotoxins and verify if their presence plays an important role in the signs of illness. We will investigate all enterotoxins described till now, such as sea-see, seg-sez, sel26, sel 27, se01, and se02 (This study was approved by the Sao Paulo State University Animal Use Ethics Committee, No. 0136/2017). For the PCR assay, we used Illustra Bacteria Mini Spin Kit for bacterial DNA. At this moment, we have already tested sea-see, seg-ser, sew, and sex, and the results have already been submitted to Fisher Exact Probability Test or Chi-square Test. Considering the isolates obtained from clinical mastitis, the most frequent enterotoxins were selw (99%), selx (78%) and selh (50.5%), and sec, see, sej, sell, selp,and ser were absent. Among the subclinics, selw (82.5%) selm (15.5%) and selx (14.6%) were the most frequent, and sea-see, seg, sei-sel, sem-ser were absent. We have already observed statistically significant differences for seb, seg, seh, sei, selo, selu, selw and selx. Other interesting results were the low number of genes in each isolate from subclinical mastitis [0 genes: 14 (13.6%); 1 gene: 55 (53.4%); 2 genes: 33 (32%) or 3: 1 (0.97%)] compared to clinical isolates [1 gene: 5 (4.9%); 2 genes: 29 (28.1%); 3 genes: 38 (36.9%); 4 genes: 14 (13.6%); 5 genes: 5 (4.9%); 6 genes: 4 (3.9%); 7 genes: 5 (4.9%); 8 genes: 2 (1.9%) and 9 genes: 1 (1%)]. Based on these results, we can conclude that enterotoxins indeed play an important role in clinical signs in cattle with mastitis.Keywords: mastitis, S. aureus, PCR, staphylococcal enterotoxin
Procedia PDF Downloads 1135156 The Non-Existence of Perfect 2-Error Correcting Lee Codes of Word Length 7 over Z
Authors: Catarina Cruz, Ana Breda
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Tiling problems have been capturing the attention of many mathematicians due to their real-life applications. In this study, we deal with tilings of Zⁿ by Lee spheres, where n is a positive integer number, being these tilings related with error correcting codes on the transmission of information over a noisy channel. We focus our attention on the question ‘for what values of n and r does the n-dimensional Lee sphere of radius r tile Zⁿ?’. It seems that the n-dimensional Lee sphere of radius r does not tile Zⁿ for n ≥ 3 and r ≥ 2. Here, we prove that is not possible to tile Z⁷ with Lee spheres of radius 2 presenting a proof based on a combinatorial method and faithful to the geometric idea of the problem. The non-existence of such tilings has been studied by several authors being considered the most difficult cases those in which the radius of the Lee spheres is equal to 2. The relation between these tilings and error correcting codes is established considering the center of a Lee sphere as a codeword and the other elements of the sphere as words which are decoded by the central codeword. When the Lee spheres of radius r centered at elements of a set M ⊂ Zⁿ tile Zⁿ, M is a perfect r-error correcting Lee code of word length n over Z, denoted by PL(n, r). Our strategy to prove the non-existence of PL(7, 2) codes are based on the assumption of the existence of such code M. Without loss of generality, we suppose that O ∈ M, where O = (0, ..., 0). In this sense and taking into account that we are dealing with Lee spheres of radius 2, O covers all words which are distant two or fewer units from it. By the definition of PL(7, 2) code, each word which is distant three units from O must be covered by a unique codeword of M. These words have to be covered by codewords which dist five units from O. We prove the non-existence of PL(7, 2) codes showing that it is not possible to cover all the referred words without superposition of Lee spheres whose centers are distant five units from O, contradicting the definition of PL(7, 2) code. We achieve this contradiction by combining the cardinality of particular subsets of codewords which are distant five units from O. There exists an extensive literature on codes in the Lee metric. Here, we present a new approach to prove the non-existence of PL(7, 2) codes.Keywords: Golomb-Welch conjecture, Lee metric, perfect Lee codes, tilings
Procedia PDF Downloads 1605155 Assessment of Time-variant Work Stress for Human Error Prevention
Authors: Hyeon-Kyo Lim, Tong-Il Jang, Yong-Hee Lee
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For an operator in a nuclear power plant, human error is one of the most dreaded factors that may result in unexpected accidents. The possibility of human errors may be low, but the risk of them would be unimaginably enormous. Thus, for accident prevention, it is quite indispensable to analyze the influence of any factors which may raise the possibility of human errors. During the past decades, not a few research results showed that performance of human operators may vary over time due to lots of factors. Among them, stress is known to be an indirect factor that may cause human errors and result in mental illness. Until now, not a few assessment tools have been developed to assess stress level of human workers. However, it still is questionable to utilize them for human performance anticipation which is related with human error possibility, because they were mainly developed from the viewpoint of mental health rather than industrial safety. Stress level of a person may go up or down with work time. In that sense, if they would be applicable in the safety aspect, they should be able to assess the variation resulted from work time at least. Therefore, this study aimed to compare their applicability for safety purpose. More than 10 kinds of work stress tools were analyzed with reference to assessment items, assessment and analysis methods, and follow-up measures which are known to close related factors with work stress. The results showed that most tools mainly focused their weights on some common organizational factors such as demands, supports, and relationships, in sequence. Their weights were broadly similar. However, they failed to recommend practical solutions. Instead, they merely advised to set up overall counterplans in PDCA cycle or risk management activities which would be far from practical human error prevention. Thus, it was concluded that application of stress assessment tools mainly developed for mental health seemed to be impractical for safety purpose with respect to human performance anticipation, and that development of a new assessment tools would be inevitable if anyone wants to assess stress level in the aspect of human performance variation and accident prevention. As a consequence, as practical counterplans, this study proposed a new scheme for assessment of work stress level of a human operator that may vary over work time which is closely related with the possibility of human errors.Keywords: human error, human performance, work stress, assessment tool, time-variant, accident prevention
Procedia PDF Downloads 6725154 Banking Sector Development and Economic Growth: Evidence from the State of Qatar
Authors: Fekri Shawtari
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The banking sector plays a very crucial role in the economic development of the country. As a financial intermediary, it has assigned a great role in the economic growth and stability. This paper aims to examine the empirically the relationship between banking industry and economic growth in state of Qatar. We adopt the VAR vector error correction model (VECM) along with Granger causality to address the issue over the long-run and short-run between the banking sector and economic growth. It is expected that the results will give policy directions to the policymakers to make strategies that are conducive toward boosting development to achieve the targeted economic growth in current situation.Keywords: economic growth, banking sector, Qatar, vector error correction model, VECM
Procedia PDF Downloads 1705153 Oro-Facial Manifestations of Acute Myeloid Leukaemia -A Case Report
Authors: Aamna Tufail, Kajal Kotecha, Iordanis Toursounidis, Ravinder Pabla
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Introduction/Aims: Acute Myeloid Leukaemia (AML) is a part of leukaemic group of hematopoietic disorders with a varying range of presentations, including oro-facial manifestations. Early recognition and management are essential for favourable outcomes. Materials and Methods: We present our experience, clinical presentation, and clinical photographs of a patient with previously undiagnosed AML who presented with oral symptoms to the emergency department of our hospital. An analysis of clinical characteristics, diagnostic investigations, and management modalities was performed. Results/Statistics: A 58-year-old man presented to A&E reporting an 11-day history of right sided facial swelling, acute TMJ symptoms, and oral discomfort. A dentist ruled out acute dental causes one day post onset of symptoms. Initial assessment was anatomically inconsistent and did not reveal a routine oral or maxillofacial etiology. Detailed clinical examination demonstrated fever, generalised pallor, swelling and erythema of right nasolabial region, bilateral masseteric tenderness, intraoral palatal ecchymosis, palatal ulceration, buccal and labial petechiae, cervical lymphadenopathy, and haematoma on dorsum of right hand overlying right 2nd metacarpal joint. Suspecting a systemic medical cause, we requested haematological investigations, which revealed neutropenia, thrombocytopenia, and anaemia. Flow cytometry confirmed CD34 + AML. Oral discomfort was managed symptomatically. The patient was referred to a tertiary care centre for acute haematologic care, where he was treated with IV antibiotics and continuing cycles of chemotherapy. Conclusions/Clinical Relevance: Oro-facial manifestations may be the first clinical sign of AML. Awareness of its features is vital in early diagnosis. In this context, dentists and oral medicine specialists can play an important role in detecting clinical signs of haematological disorders such as AML.Keywords: acute myeloid leukaemia, oral symptoms, ulceration, diagnosis, management
Procedia PDF Downloads 645152 Virtual Assessment of Measurement Error in the Fractional Flow Reserve
Authors: Keltoum Chahour, Mickael Binois
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Due to a lack of standardization during the invasive fractional flow reserve (FFR) procedure, the index is subject to many sources of uncertainties. In this paper, we investigate -through simulation- the effect of the (FFR) device position and configuration on the obtained value of the (FFR) fraction. For this purpose, we use computational fluid dynamics (CFD) in a 3D domain corresponding to a diseased arterial portion. The (FFR) pressure captor is introduced inside it with a given length and coefficient of bending to capture the (FFR) value. To get over the computational limitations, basically, the time of the simulation is about 2h 15min for one (FFR) value; we generate a Gaussian Process (GP) model for (FFR) prediction. The (GP) model indicates good accuracy and demonstrates the effective error in the measurement created by the random configuration of the pressure captor.Keywords: fractional flow reserve, Gaussian processes, computational fluid dynamics, drift
Procedia PDF Downloads 1345151 An Update on Linezolid against Methicillin-Resistant Staphylococcus Aureus Clinical Isolates from Pakistan
Authors: Tayaba Dastgeer, Farhan Rasheed, Muhammad Saeed, Maqsood Ahmad, Zia Ashraf, Abdul Waheed, Muhammad Kamran, Mohsin Khurshid
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Objectives: The study aimed to determine the efficacy of linezolid against clinical isolates of methicillin-resistant staphylococcus aureus (MRSA). Methodology: This cross-sectional study was conducted in the microbiology department of Allama Iqbal Medical College Lahore from August 2017 to September 2019. Isolates were confirmed as MRSA via the presence of the mec-A gene. Confirmed MRSA isolates were processed for susceptibility testing against different antimicrobials, especially linezolid, via the disc diffusion method. Zone sizes were interpreted according to CLSI guidelines. Results: Various types of clinical samples were included in the study; however, the highest frequency of MRSA isolates was found in pus samples, followed by other clinical samples. Among hospitalized patients, most MRSA isolates were obtained from patients in the surgical ward. Of 243 mec-A gene detected isolates, Vancomycin and linezolid showed 100% susceptibility, chloramphenicol showed declining resistance 78 (32.09%), and emerging sensitivity 165 (67.90%) against MRSA. Conclusion: Linezolid is a very efficient drug against MRSA, but the use of this novel drug must be conserved for vancomycin-resistant Staphylococcus aureus or when more resistant pathogens are suspected.Keywords: MRSA, chloramphenicol, linezolid, nosocomial infections
Procedia PDF Downloads 975150 Persistent Bacteremia in Cases of Endodontic Re-Treatments
Authors: Ilma Robo, Manola Kelmendi, Kleves Elezi, Nevila Alliu
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The most important stage in deciding whether to re-treat or not endodontically is to find the reason for the clinical in-success. Therefore, endodontic re-treatment aims to eliminate the etiology of the pathology, where the main ones are the bacteria remaining in the inter-radicular spaces or the presence of other irritants that can be not only bacterial toxins but also the elements that keep the batteries fixed or extra-canal toxins such as extraction outside the apex of the canal filling. Shortcomings of endodontic treatment can be corrected, if possible, only with endodontic re-treatment that is initially attempted orthograde, and if clinical endodontic success is not achieved again, it can be performed retrograde or surgically. The elements that do not help in this direction are the anatomical deformations in the canal network of the tooth roots, in the presence of the delta at the apex of the tooth root, in the isthmuses present, all of which can be explained by the endodontic canal anatomical morphology. Actually, even if the causative endodontic bacteria remains isolated and without an exit in the healthy periodontal tissues, then this can also be a clinical endodontic success, regardless of the fact that the endodontic isolation occurred only in the exits such as the apex or the accessory canals. Clinical endodontic in-success occurs only when bacterial residues emerge or provide an exit in the healthy periradicular tissues or along the entire length of the canal where the accessory canals exit.Keywords: endodontic success, E. foecalis, nanoparticles, laser diode, antibacterial, antiseptic
Procedia PDF Downloads 495149 Estimation of Chronic Kidney Disease Using Artificial Neural Network
Authors: Ilker Ali Ozkan
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In this study, an artificial neural network model has been developed to estimate chronic kidney failure which is a common disease. The patients’ age, their blood and biochemical values, and 24 input data which consists of various chronic diseases are used for the estimation process. The input data have been subjected to preprocessing because they contain both missing values and nominal values. 147 patient data which was obtained from the preprocessing have been divided into as 70% training and 30% testing data. As a result of the study, artificial neural network model with 25 neurons in the hidden layer has been found as the model with the lowest error value. Chronic kidney failure disease has been able to be estimated accurately at the rate of 99.3% using this artificial neural network model. The developed artificial neural network has been found successful for the estimation of chronic kidney failure disease using clinical data.Keywords: estimation, artificial neural network, chronic kidney failure disease, disease diagnosis
Procedia PDF Downloads 4475148 Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images
Authors: Elham Bagheri, Yalda Mohsenzadeh
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Image memorability refers to the phenomenon where certain images are more likely to be remembered by humans than others. It is a quantifiable and intrinsic attribute of an image. Understanding how visual perception and memory interact is important in both cognitive science and artificial intelligence. It reveals the complex processes that support human cognition and helps to improve machine learning algorithms by mimicking the brain's efficient data processing and storage mechanisms. To explore the computational underpinnings of image memorability, this study examines the relationship between an image's reconstruction error, distinctiveness in latent space, and its memorability score. A trained autoencoder is used to replicate human-like memorability assessment inspired by the visual memory game employed in memorability estimations. This study leverages a VGG-based autoencoder that is pre-trained on the vast ImageNet dataset, enabling it to recognize patterns and features that are common to a wide and diverse range of images. An empirical analysis is conducted using the MemCat dataset, which includes 10,000 images from five broad categories: animals, sports, food, landscapes, and vehicles, along with their corresponding memorability scores. The memorability score assigned to each image represents the probability of that image being remembered by participants after a single exposure. The autoencoder is finetuned for one epoch with a batch size of one, attempting to create a scenario similar to human memorability experiments where memorability is quantified by the likelihood of an image being remembered after being seen only once. The reconstruction error, which is quantified as the difference between the original and reconstructed images, serves as a measure of how well the autoencoder has learned to represent the data. The reconstruction error of each image, the error reduction, and its distinctiveness in latent space are calculated and correlated with the memorability score. Distinctiveness is measured as the Euclidean distance between each image's latent representation and its nearest neighbor within the autoencoder's latent space. Different structural and perceptual loss functions are considered to quantify the reconstruction error. The results indicate that there is a strong correlation between the reconstruction error and the distinctiveness of images and their memorability scores. This suggests that images with more unique distinct features that challenge the autoencoder's compressive capacities are inherently more memorable. There is also a negative correlation between the reduction in reconstruction error compared to the autoencoder pre-trained on ImageNet, which suggests that highly memorable images are harder to reconstruct, probably due to having features that are more difficult to learn by the autoencoder. These insights suggest a new pathway for evaluating image memorability, which could potentially impact industries reliant on visual content and mark a step forward in merging the fields of artificial intelligence and cognitive science. The current research opens avenues for utilizing neural representations as instruments for understanding and predicting visual memory.Keywords: autoencoder, computational vision, image memorability, image reconstruction, memory retention, reconstruction error, visual perception
Procedia PDF Downloads 905147 Freud’s Theories: Lie or a Symbolism
Authors: Aakriti Lohiya
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Sigmund Freud’s clinical theories were deeply influenced by his childhood and his environment before his exile in England. In this article, the author illuminates his different works and the metaphors in them. The clinical relevance of Freud’s theories is much disputed and chatted but rarely has any psychoanalytic writing touched upon the way in which his theories are linked with life experiences. Exploring the metaphors in Freud’s theories will take us into the uncharted paths of how the experience of life events meets experience in the clinic. A sincere and critical reflection of the ideas proposed by Freud would certainly help us to locate its unfamiliar stages. Many of his theories and ideas attempted to create contact with his early childhood experiences. Freud was Jewish by birth but atheist by nature, which was reflected in many of his theories. The ways in which Freud theorizes the psychosexual development of a being and many of his mammoth theories are elucidated in this study. On the other hand, some of his ideas remain a challenge, which requires remembering, restating, and functioning through the clinical and mystical elements in his writing.Keywords: sigmund freud, exile, psychoanalytic theory, metaphor, psychosexual theory
Procedia PDF Downloads 705146 Virtual Simulation as a Teaching Method for Community Health Nursing: An Investigation of Student Performance
Authors: Omar Mayyas
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Clinical decision-making (CDM) is essential to community health nursing (CHN) education. For this reason, nursing educators are responsible for developing these skills among nursing students because nursing students are exposed to highly critical conditions after graduation. However, due to limited exposure to real-world situations, many nursing students need help developing clinical decision-making skills in this area. Therefore, the impact of Virtual Simulation (VS) on community health nursing students' clinical decision-making in nursing education has to be investigated. This study aims to examine the difference in CDM ability among CHN students who received traditional education compared to those who received VS classes, to identify the factors that may influence CDM ability differences between CHN students who received a traditional education and VS classes, and to provide recommendations for educational programs that can enhance the CDM ability of CHN students and improve the quality of care provided in community settings. A mixed-method study will conduct. A randomized controlled trial will compare the CDM ability of CHN students who received 1hr traditional class with another group who received 1hr VS scenario about diabetic patient nursing care. Sixty-four students in each group will randomly select to be exposed to the intervention from undergraduate nursing students who completed the CHN course at York University. The participants will receive the same Clinical Decision Making in Nursing Scale (CDMNS) questionnaire. The study intervention will follow the Medical Research Council (MRC) approach. SPSS and content analysis will use for data analysis.Keywords: clinical decision-making, virtual simulation, community health nursing students, community health nursing education
Procedia PDF Downloads 675145 The Effects of Prosthetic Leg Stiffness on Gait, Comfort, and Satisfaction: A Review of Mechanical Engineering Approaches
Authors: Kourosh Fatehi, Niloofar Hanafi
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One of the challenges in providing optimal prosthetic legs for lower limb amputees is to select the appropriate foot stiffness that suits their individual needs and preferences. Foot stiffness affects various aspects of walking, such as stability, comfort, and energy expenditure. However, the current prescription process is largely based on trial-and-error, manufacturer recommendations, or clinician judgment, which may not reflect the prosthesis user’s subjective experience or psychophysical sensitivity. Therefore, there is a need for more scientific and technological tools to measure and understand how prosthesis users perceive and prefer different foot stiffness levels, and how this preference relates to clinical outcomes. This review covers how to measure and design lower leg prostheses based on user preference and foot stiffness. It also explores how these factors affect walking outcomes and quality of life, and identifies the current challenges and gaps in this field from a mechanical engineering standpoint.Keywords: perception, preference, prosthetics, stiffness
Procedia PDF Downloads 81