Search results for: satisfaction of patients

Authors: Dhriti Kirpalani

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The survey aims to explore the impact of Instagram on the perception of lifestyle aspirations (such as social life, fitness, trends followed in fashion, etc.) and perception of self in relation to an idealized lifestyle: Amidst today's media-saturated environment, university students are constantly exposed to idealized portrayals of lifestyles, often leading to unrealistic expectations and dissatisfaction with their own lives. This study investigates the impact of media on university students' perceptions of their own lifestyle, the discrepancy between their self-perception and idealized lifestyle, and their mental health. Employing a mixed-methods approach, the study combines quantitative and qualitative data collection methods to understand the issue comprehensively. A literature review was conducted in order to determine the effects of idealized lifestyle portrayal on Instagram; however, less attention has been received in the Indian setting. The researchers wish to employ a convenience sampling method among undergraduate students from India. The surveys that would be employed for quantitative analysis are Negative Social Media Comparison (NSMCS), Lifestyle Satisfaction Scale (LSS), Psychological Well-being Scale (PWB), and Self-Perception Profile for Adolescents (SPPA). The qualitative aspect would include in-depth interviews to provide deeper insights into participants' experiences and the mechanisms by which media influences their lifestyle aspirations and mental health. With the aim of being an exploratory study, the basis of the idea is found in the social comparison theory described by Leon Festinger. The findings aim to inform interventions to promote realistic expectations about lifestyle, reduce the negative effects of media on university students, and improve their mental health and well-being.

Keywords: declined self-perception, idealized lifestyle, Instagram, Indian university students, social comparison

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Authors: Hala Kama Ahmed Rashwan

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Ensuring the patient safety especially at intensive care units and those exposed to hospital tools and equipment is one of the most important challenges facing healthcare today. Outbreak of food poisoning as a result of food-borne pathogens has been reported in many hospitals and care homes all over the world due to hospital meals. Patient safety of eating hospital meals is a fundamental principle of healthcare; it is new healthcare disciplines that assure the food raw materials, food storage, meals processing, and control of kitchen errors that often lead to adverse healthcare events. The aim of this article is to promote any hospital in attaining the hygienic practices and better quality system during processing of the ready-to- eat meals for intensive care units patients according to the WHO safety guidelines.

Keywords: hospitals, meals, safety, intensive care

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Authors: Karima Chergui, Hichem Amrani, Hammoudi Mazouz, Fatiha Mezaache

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Cemented femoral resurfacings have experienced a revival for younger and more active patients. Future developments have shown that the uncemented version eliminates failures related to cementing implants. A three-dimensional finite element method (FEM) simulation was carried out in order to exploit a new resurfacing prothesis design named MARMEL, proposed by a recent study with Co–Cr–Mo material, for comparing a hip uncemented resurfacing with a novel carbon fiber/polyamide 12 (CF/PA12) composite to other hip resurfacing implants with various bio materials. From FE analysis, the von Mises stress range for the Composite hip resurfacing was much lower than that in the other hip resurfacing implants used in this comparison. These outcomes showed that the biomimetic hip resurfacing had the potential to reduce stress shielding and prevent from bone fracture compared to conventional hip resurfacing implants.

Keywords: biomechanics, carbon–fibre polyamide 12, finite element analysis, hip resurfacing

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Authors: Pia Kastl

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By combining face-to-face sessions with digital selflearning units, the learning process can be enhanced and learning success improved. Potentials of blended learning are the flexibility and possibility to get in touch with lecturers and fellow students face-toface. It also offers the opportunity to individualize and self-regulate the learning process. Aim of this article is to analyse how different learning environments affect students’ learning behavior and how digital tools can be used effectively. The analysis also considers the extent to which the field of study affects the students’ preferences. Semi-structured interviews were conducted with students from different disciplines at two German universities (N= 60). The questions addressed satisfaction and perception of online, faceto-face and blended learning courses. In addition, suggestions for improving learning experience and the use of digital tools in the different learning environments were surveyed. The results show that being present on campus has a positive impact on learning success and online teaching facilitates flexible learning. Blended learning can combine the respective benefits, although one challenge is to keep the time investment within reasonable limits. The use of digital tools differs depending on the subject. Medical students are willing to use digital tools to improve their learning success and voluntarily invest more time. Students of the humanities and social sciences, on the other hand, are reluctant to invest additional time. They do not see extra study material as an additional benefit their learning success. This study illustrates how these heterogenous demands on learning environments can be met. In addition, potential for improvement will be identified in order to foster both learning process and learning success. Learning environments can be meaningfully enriched with digital elements to address student diversity in higher education.

Keywords: blended learning, higher education, diversity, learning styles

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Authors: Salehi Zahabi Saleh, Rajabi Hosaien, Rasaneh Samira

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Yttrium-90 (90Y) radioembolisation(RE) is increasingly used for the treatment of patients with unresectable primary or metastatic liver tumours. Image-based approaches to assess microsphere distribution after RE have gained interest but are mostly hampered by the limited imaging possibilities of the Isotope 90Y. Quantitative 90Y-SPECT imaging has limited spatial resolution because it is based on 90Y Bremsstrahlung whereas 90Y-PET has better spatial resolution but low sensitivity. As a consequence, new alternative methods of visualizing the microspheres have been investigated, such as MR imaging of iron-labelled microspheres. It was also shown that MRI combines high sensitivity with high spatial and temporal resolution and with superior soft tissue contrast and thus can be used to cover a broad range of clinically interesting imaging parameters.The aim of the study in this article was to investigate the capability of MRI to measure the intrahepatic microsphere distribution in order to quantify the absorbed radiation dose in RE.

Keywords: radioembolisation, MRI, imaging, dosimetry

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Authors: Wasse Uddin Ahmed Saleh, Nawreenbinte Anwar

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A well-written operating note is crucial as a teaching tool for providing patients with high-quality medical care and fending off medico-legal claims. In this review article, some adjustments have been advised to the operative note guidelines by the Royal College of Surgeons (RCS) for different methods of ocular anesthesia and ophthalmic procedures like cataract surgeries, kerato-refractive surgeries, glaucoma surgeries, oculoplastic surgeries, etc. Some modifications of the WHO Surgical Safety Checklist have also been mentioned, including pre-operative responsibilities of the nurses, operative assistants and operating ophthalmologists. It has become essential to assemble globally accepted structured operative note guidelines modified for each ocular surgery.

Keywords: ocular surgeries, operation notes, cataract surgery, kerato-refractive surgery, Oculoplastic surgeries, guidelines

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Authors: Shariffah Dawood

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During the past decade, workplace bullying has attracted increasing attention from researchers internationally as it is reported to be a major social problem and has severe consequences towards the job satisfaction and health of victims and towards the organization. It is characterized by “systematic aggression or violence targeted towards one or more individuals by one individual or by a group, consists of repeated and enduring acts, and the target is or ends up in an inferior position from which it is difficult to defend oneself.” Despite the seriousness of workplace bullying, not all sectors have received the same degree of scholarly attention. Most studies have been undertaken in the public and private sectors, such as, in hospitals, universities, retail industry, local council, and restaurant kitchens. The nonprofit sector has received limited attention despite its significant economic and social role in the society. In order to understand the nature of workplace bullying in non-profit sector, this research explored 29 British nonprofit organizations through surveys and interviews. Despite the nonprofit sector’s emphasis on an egalitarianism ethos, their reputation to be the defenders of the most vulnerable/disadvantaged and the perception that they are protected from such negative behaviors in the workplace, the findings uncovered pertinent factors that make this sector highly vulnerable towards workplace bullying. Overall, the study identifies some organizational factors which need to be addressed in order to curb bullying in this sector: management commitment towards a zero-tolerance bullying policy; management training in areas such as conflict resolution, organizational changes, and maintenance of the commitment of a conscientious workforce. The researcher further recommends that the nonprofit organizations work towards improving relationships with voluntary board members and funding bodies. The researcher will also outline the second phase of the study, which aims to investigate bullying in the nonprofit sector across cultures (the USA, Malaysia and Japan), and implications for the research will be identified.

Keywords: nonprofit sector, workplace bullying, harassment, management, HRM

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Authors: Tarnai Tena, Strinić Dean

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Chronic non-communicable diseases are today the leading cause of mortality, morbidity and mortality disability at the world level and in Croatia. Among them are the most represented precisely cardiovascular diseases (CVD), so today we are talking about their global card epidemic. From 2018 to 2021, cardiovascular diseases are the leading cause of death for both women and men in the Dubrovnik- Neretva County. With regard to the COVID-19 pandemic, which has taken over, without forgetting how much these patients are additionally affected, we are still talking about the primary cause of sickness and death in the population of this county and region. In this record, we present collected data processed according to gender and disease classification. We also bring a kind of overview because, for years, we have been following how the population of one of the origins of the Mediterranean diet has been struggling with cardiovascular diseases.

Keywords: cardiovascular disease, burden, COVID-19, epidemiology, ishemic heart disease, cardiovascular medicine

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Authors: Razieh Khalafi

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Myocardial infarction (MI) or acute myocardial infarction (AMI), commonly known as a heart attack, occurs when blood flow stops to part of the heart causing damage to the heart muscle. An ECG can often show evidence of a previous heart attack or one that's in progress. The patterns on the ECG may indicate which part of your heart has been damaged, as well as the extent of the damage. In chaos theory, the correlation dimension is a measure of the dimensionality of the space occupied by a set of random points, often referred to as a type of fractal dimension. In this research by considering ECG signal as a random walk we work on forecasting the oncoming heart attack by analyzing the ECG signals using the correlation dimension. In order to test the model a set of ECG signals for patients before and after heart attack was used and the strength of model for forecasting the behavior of these signals were checked. Results shows this methodology can forecast the ECG and accordingly heart attack with high accuracy.

Keywords: heart attack, ECG, random walk, correlation dimension, forecasting

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Authors: Raziel Mojica

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This study delves into the challenging working conditions faced by physical education (PE) teachers in public schools, particularly during the transition to remote teaching due to the impact of the COVID-19 pandemic. Using a qualitative, hermeneutic phenomenological approach, the research involves in-depth interviews with PE teachers to gain profound insight into their lived experiences and to answer the main question: What is the essence of the lived experience of physical education? The study explores the following sub-questions: (1) How do the participants describe their lived experience regarding their working conditions as physical education teachers in the new normal setup?; (2) What themes emerge from the testimonies of Physical Education Public School teachers from the Division of Calamba?; (3) Based on the consolidated findings and reflection, what material may be produced to inspire the physical education public school teachers? The study identifies emerging themes such as professional growth, personal life boundaries, accessible facilities and equipment, time management, and school leadership. Framed by Frederick Herzberg's Work-Motivation Theory, the study emphasizes motivator and hygienic factors that significantly impact job satisfaction and dissatisfaction. As a result of the study, the teachers vividly identified the challenges they face, including the lack of resources, training, and support from school leaders, which have made it difficult for them to adapt to the new teaching environment. These findings underscore the urgent need to revise teacher training curricula and for school leaders to provide strategic support to PE teachers in remote learning contexts. In conclusion, the study recommends targeted interventions to address these challenges and better equip PE teachers for the new normal in education.

Keywords: PE teachers, COVID-19 pandemic, hermeneutic phenomenological, physical education, new normal

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Authors: Sarah Aldhalaan, Tanzila Saba

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Healthcare sectors are increasing rapidly to fulfill patient’s needs across the world. A patient identification is considered as the main aspect for a patient to be served in healthcare institutes. Nowadays, people are presenting their insurance card along with their identification card in order to get the needed treatment in hospitals however, this process lack security preferences. The aim of this research paper is to reveal a solution to introduce and use biometrics in healthcare hospitals. The findings show that the people know biometrics since they are interacting with them through different channels and that the need for biometrics techniques to identify patients is essential. Also, the survey relevant questions are used to analyze and add insights on what is are the suitable biometrics to be used in such cases. Moreover, results are presented to exhibit the effectiveness of the used methodology and in analyzing usage of biometrics in hospitals in an enhancing way. Finally, an interesting conclusion of overall work is presented at the end of paper.

Keywords: biometrics, healthcare, fingerprint, Saudi Arabia

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Authors: J. Fernandez, N. Aguilar, R. Fernandez de Canete, J. C. Ramos-Diaz

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In this paper, a simulation model of the glucose-insulin system for a patient undergoing diabetes Type 1 is developed by using a causal modeling approach under system dynamics. The OpenModelica simulation environment has been employed to build the so called causal model, while the glucose-insulin model parameters were adjusted to fit recorded mean data of a diabetic patient database. Model results under different conditions of a three-meal glucose and exogenous insulin ingestion patterns have been obtained. This simulation model can be useful to evaluate glucose-insulin performance in several circumstances, including insulin infusion algorithms in open-loop and decision support systems in closed-loop.

Keywords: causal modeling, diabetes, glucose-insulin system, diabetes, causal modeling, OpenModelica software

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Authors: Vasudha Govil, Suresh Singhal

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Introduction: Patients with oropharyngeal masses pose a challenge for an anaesthetist in terms of ventilation and tracheal intubation. Thus, preoperative assessment and preparation become an integral part of managing such anticipated difficult airway cases. Case report: A 45- year old female presented with growth in the oropharynx causing dysphagia and hoarseness of voice. Clinical examination and investigations predicted a difficult airway. It was managed with fibreoptic nasotracheal intubation with a successful perioperative outcome. Tracheostomy was kept as plan B in case of the CVCI situation. Conclusion: Careful preoperative examination and assessment is required to prepare oneself for difficult airway. Fibreoptic bronchoscope-guided nasotracheal intubation in a spontaneously breathing patient is a safe and successful airway management technique in difficult airway cases.

Keywords: airway, difficult, mass, oropharyngeal

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Authors: H. Naseh, M. Mirshams, M. Mirdamadian, H. R. Fazeley

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This paper presents an extension of fuzzy-genetic algorithm multi-objective optimization methodology that could effectively be used to find the overall satisfaction of objective functions (selecting the design variables) in the early stages of design process. The coupling of objective functions due to design variables in an engineering design process will result in difficulties in design optimization problems. In many cases, decision making on design variables conflicts with more than one discipline in system design. In space launch system conceptual design, decision making on some design variable (e.g. oxidizer to fuel mass flow rate O/F) in early stages of the design process is related to objective of liquid propellant engine (specific impulse) and Tanks (structure weight). Then, the primary application of this methodology is the design of a liquid propellant engine with the maximum specific impulse and cylindrical stiffened tank with the minimum weight. To this end, the design problem is established the fuzzy rule set based on designer's expert knowledge with a holistic approach. The independent design variables in this model are oxidizer to fuel mass flow rate, thickness of stringers, thickness of rings, shell thickness. To handle the mentioned problems, a fuzzy-genetic algorithm multi-objective optimization methodology is developed based on Pareto optimal set. Consequently, this methodology is modeled with the one stage of space launch system to illustrate accuracy and efficiency of proposed methodology.

Keywords: cylindrical stiffened tanks, multi-objective, genetic algorithm, fuzzy approach

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Authors: Kathrina Aseanne Acapulco-Gomez, Shayne Julieane Morales, Tzar Francis Verame

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Mean platelet volume (MPV) is the most accurate measure of the size of platelets and is routinely measured by most automated hematological analyzers. Several studies have shown associations between MPV and cardiovascular risks and outcomes. Although its measurement may provide useful data, MPV remains to be a diagnostic tool that is yet to be included in routine clinical decision making. The aim of this systematic review and meta-analysis is to determine summary estimates of the diagnostic accuracy of mean platelet volume for the diagnosis of myocardial infarction among adult patients with angina and/or its equivalents in terms of sensitivity, specificity, diagnostic odds ratio, and likelihood ratios, and to determine the difference of the mean MPV values between those with MI and those in the non-MI controls. The primary search was done through search in electronic databases PubMed, Cochrane Review CENTRAL, HERDIN (Health Research and Development Information Network), Google Scholar, Philippine Journal of Pathology, and Philippine College of Physicians Philippine Journal of Internal Medicine. The reference list of original reports was also searched. Cross-sectional, cohort, and case-control articles studying the diagnostic performance of mean platelet volume in the diagnosis of acute myocardial infarction in adult patients were included in the study. Studies were included if: (1) CBC was taken upon presentation to the ER or upon admission (within 24 hours of symptom onset); (2) myocardial infarction was diagnosed with serum markers, ECG, or according to accepted guidelines by the Cardiology societies (American Heart Association (AHA), American College of Cardiology (ACC), European Society of Cardiology (ESC); and, (3) if outcomes were measured as significant difference AND/OR sensitivity and specificity. The authors independently screened for inclusion of all the identified potential studies as a result of the search. Eligible studies were appraised using well-defined criteria. Any disagreement between the reviewers was resolved through discussion and consensus. The overall mean MPV value of those with MI (9.702 fl; 95% CI 9.07 – 10.33) was higher than in those of the non-MI control group (8.85 fl; 95% CI 8.23 – 9.46). Interpretation of the calculated t-value of 2.0827 showed that there was a significant difference in the mean MPV values of those with MI and those of the non-MI controls. The summary sensitivity (Se) and specificity (Sp) for MPV were 0.66 (95% CI; 0.59 - 0.73) and 0.60 (95% CI; 0.43 – 0.75), respectively. The pooled diagnostic odds ratio (DOR) was 2.92 (95% CI; 1.90 – 4.50). The positive likelihood ratio of MPV in the diagnosis of myocardial infarction was 1.65 (95% CI; 1.20 – 22.27), and the negative likelihood ratio was 0.56 (95% CI; 0.50 – 0.64). The intended role for MPV in the diagnostic pathway of myocardial infarction would perhaps be best as a triage tool. With a DOR of 2.92, MPV values can discriminate between those who have MI and those without. For a patient with angina presenting with elevated MPV values, it is 1.65 times more likely that he has MI. Thus, it is implied that the decision to treat a patient with angina or its equivalents as a case of MI could be supported by an elevated MPV value.

Keywords: mean platelet volume, MPV, myocardial infarction, angina, chest pain

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Authors: Si-yang Zhang, Chi Zhao

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Comprehensive transportation hubs are important nodes of the transportation network, and their internal signage the functions as guidance and distribution assistance, which directly affects the operational efficiency of traffic in and around the hubs. Reasonably installed signage effectively attracts the visual focus of travelers and improves wayfinding efficiency. Among the elements of signage, the visual guidance effect is the key factor affecting the information conveyance, whom should be evaluated during design and optimization process. However, existing evaluation methods mostly focus on the layout, and are not able to fully understand if signage caters travelers’ need. This study conducted field investigations and developed panoramic videos for multiple transportation hubs in China, and designed survey accordingly. Human subjects are recruited to watch panoramic videos via virtual reality (VR) and respond to the surveys. In this paper, Pudong Airport and Xi'an North Railway Station were studied and compared as examples due to their high traveler volume and relatively well-developed traveler service systems. Visual attention was captured by eye tracker and subjective satisfaction ratings were collected through surveys. Entropy Weight Method (EWM) was utilized to evaluate the effectiveness of signage elements and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to further rank the importance of the elements. The results show that the degree of visual attention of travelers significantly affects the evaluation results of guidance signage. Key factors affecting visual attention include accurate legibility, obstruction and defacement rates, informativeness, and whether signage is set up in a hierarchical manner.

Keywords: traveler guidance signage, panoramic video, visual attention, entropy weight method, TOPSIS

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Authors: Fatemeh Sadeghi, Peyman Sheikhzadeh

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Introduction: Block Sequential Regularized Expectation Maximization (BSREM) reconstruction algorithm was recently developed to suppress excessive noise by applying a relative difference penalty. The aim of this study was to investigate the effect of various strengths of noise penalization factor in the BSREM algorithm under different acquisition duration and lesion sizes in order to determine an optimum penalty factor by considering both quantitative and qualitative image evaluation parameters in clinical uses. Materials and Methods: The NEMA IQ phantom and 15 clinical whole-body patients with prostate cancer were evaluated. Phantom and patients were injected withGallium-68 Prostate-Specific Membrane Antigen(68 Ga-PSMA)and scanned on a non-time-of-flight Discovery IQ Positron Emission Tomography/Computed Tomography(PET/CT) scanner with BGO crystals. The data were reconstructed using BSREM with a β-value of 100-500 at an interval of 100. These reconstructions were compared to OSEM as a widely used reconstruction algorithm. Following the standard NEMA measurement procedure, background variability (BV), recovery coefficient (RC), contrast recovery (CR) and residual lung error (LE) from phantom data and signal-to-noise ratio (SNR), signal-to-background ratio (SBR) and tumor SUV from clinical data were measured. Qualitative features of clinical images visually were ranked by one nuclear medicine expert. Results: The β-value acts as a noise suppression factor, so BSREM showed a decreasing image noise with an increasing β-value. BSREM, with a β-value of 400 at a decreased acquisition duration (2 min/ bp), made an approximately equal noise level with OSEM at an increased acquisition duration (5 min/ bp). For the β-value of 400 at 2 min/bp duration, SNR increased by 43.7%, and LE decreased by 62%, compared with OSEM at a 5 min/bp duration. In both phantom and clinical data, an increase in the β-value is translated into a decrease in SUV. The lowest level of SUV and noise were reached with the highest β-value (β=500), resulting in the highest SNR and lowest SBR due to the greater noise reduction than SUV reduction at the highest β-value. In compression of BSREM with different β-values, the relative difference in the quantitative parameters was generally larger for smaller lesions. As the β-value decreased from 500 to 100, the increase in CR was 160.2% for the smallest sphere (10mm) and 12.6% for the largest sphere (37mm), and the trend was similar for SNR (-58.4% and -20.5%, respectively). BSREM visually was ranked more than OSEM in all Qualitative features. Conclusions: The BSREM algorithm using more iteration numbers leads to more quantitative accuracy without excessive noise, which translates into higher overall image quality and lesion detectability. This improvement can be used to shorter acquisition time.

Keywords: BSREM reconstruction, PET/CT imaging, noise penalization, quantification accuracy

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Authors: Thi Huong Vu, Vijay Jayasena, Zhongxiang Fang, Gary Dykes

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D-pinitol (3-O-methyl ether of D-chiro-inosito) has been known to have health benefits for diabetic patients. Carob kibble has received attention due to the presence of high value D-pinitol and polyphenol antioxidants. D-pinitol was concentrated from carob kibble using submerged fermentation with Saccharomyces cerevisiae. Total carbohydrates and D-pinitol were determined by the phenol-sulphuric acid method and HPLC, respectively. The content of D-pinitol increased from approximately 43 to 70 mg/g dry weight after fermentation. The yeast consumed over 70% of total carbohydrates in carob kibble without any negative effect on D-pinitol content. A range of substrate medium pH’s from 5.0 – 7.0 had no significant effect on the removal of carbohydrates and D-pinitol. This method may provide a practical solution for production of D-pinitol from carob in a cost effective manner.

Keywords: carob kibble, d-pinitol, saccharomyces cerevisiae, submerged fermentation, total carbohydrates

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Authors: Ramin Mirzada, Takuya Maruyama

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Kabul is the heart of political, commercial, cultural, educational and social life in Afghanistan and the fifth fastest growing city in the world. Minimum income inclined most of Kabul residents to use public transport, especially buses, although there is no proper bus system, beside that there is no proper fare exist in Kabul city Due to wars. From 1992 to 2001 during civil wars, Kabul suffered damage and destruction of its transportation facilities including pavements, sidewalks, traffic circles, drainage systems, traffic signs and signals, trolleybuses and almost all of the public transport system (e.g. Millie bus). This research is mainly focused on Kabul city’s transportation system. In this research, the data used have been gathered by Japan International Cooperation Agency (JICA) in 2008 and this data will be used to find demand and fare structure, additionally a survey was done in 2016 to find satisfaction level of Kabul residents for fare structure. Aim of this research is to observe the demand for Large Buses, compare to the actual supply from the government, analyze the current fare structure and compare it with the proposed fare (distance based fare) structure which has already been analyzed. Outcome of this research shows that the demand of Kabul city residents for the public transport (Large Buses) exceeds from the current supply, so that current public transportation (Large Buses) is not sufficient to serve public transport in Kabul city, worth to be mentioned, that in order to overcome this problem, there is no need to build new roads or exclusive way for buses. This research proposes government to change the fare from fixed fare to distance based fare, invest on public transportation and increase the number of large buses so that the current demand for public transport is met.

Keywords: transportation, planning, public transport, large buses, Kabul, Afghanistan

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Authors: S. Selman, T. Gout

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Microbial keratitis is a serious complication of contact lens wear that can be vision and eye-threatening. Diverse presentations relating to contact lens wear include dry corneal surface, corneal infiltrate, ulceration, scarring, and complete corneal melt leading to perforation. Contact lens wear is a major risk factor and, as such, is an important consideration in any patient presenting with a red eye in the primary care setting. This paper aims to provide an overview of the risk factors, common organisms, and spectrum of contact lens-associated keratitis (CLAK) complications. It will highlight some of the salient points relevant to the assessment and workup of patients suspected of CLAK in the emergency department based on the recent literature and therapeutic guidelines. An overview of the management principles will also be provided.

Keywords: microbial keratitis, corneal pathology, contact lens-associated complications, painful vision loss

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Authors: Gunay Imanguliyeva

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Burnout is one of the concerning issues in education. The present paper aimed to explore the concept of burnout among program directors and faculty working in three higher education institutions (HEIs) in Azerbaijan and identify the factors contributing to burnout and the possible consequences of this syndrome on research participants’ professional and personal life. The researcher believed that if the concept of burnout was defined precisely and explored among more faculty, administration, and educational institutions, university leadership may have looked for the ways to support program directors and faculty, which would increase job satisfaction and decrease turnover. An exploratory qualitative research design was chosen for this study. The conceptual framework of this study was based on the Maslach Burnout Inventory. The instruments of the research were semi-structured interviews, observation, and document review. Three EFL (Teaching English as a Foreign Language) instructors and three program directors of the English Language Department working in three higher educational institutions in Azerbaijan participated in this study. The major findings of this study showed that both program directors and faculty suffered from burnout. Though they were aware of the factors that caused burnout, they did not know how to deal with this feeling. While research participants had high feeling of Emotional Exhaustion and Depersonalization, they had a low feeling of Personal Accomplishment. The researcher suggests that further research is important to measure the level of burnout and to enable HEIs to increase the productivity of program directors’ and faculty’s work as well as decrease the rate of retention in future. Also, in order to help program directors and faculty to cope with burnout, the research recommends the university leadership to meet their psycho-social needs, emotional-physical needs, and personal-intellectual needs. Keywords: burnout, emotional exhaustion, factors, well-being, higher education

Keywords: burnout, well-being, higher education, factors

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Authors: J. K. Alhassan, B. Attah, S. Misra

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Human beings have the ability to make logical decisions. Although human decision - making is often optimal, it is insufficient when huge amount of data is to be classified. medical dataset is a vital ingredient used in predicting patients health condition. In other to have the best prediction, there calls for most suitable machine learning algorithms. This work compared the performance of Artificial Neural Network (ANN) and Decision Tree Algorithms (DTA) as regards to some performance metrics using diabetes data. The evaluations was done using weka software and found out that DTA performed better than ANN. Multilayer Perceptron (MLP) and Radial Basis Function (RBF) were the two algorithms used for ANN, while RegTree and LADTree algorithms were the DTA models used. The Root Mean Squared Error (RMSE) of MLP is 0.3913,that of RBF is 0.3625, that of RepTree is 0.3174 and that of LADTree is 0.3206 respectively.

Keywords: artificial neural network, classification, decision tree algorithms, diabetes mellitus

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Authors: Yin-Chen Liu, Chih-Chun Wu, Mei-He Shih

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In this technology society, using ICT(Information and communications technology) to contact each other is very common. Interpersonal ICT communication maintains social support. Therefore, the study investigated the ICT communication between undergraduates and their parents, and gender differences were also detected. The sample size was 1,209 undergraduates, including 624(51.6%) males, 584(48.3%) females, and 1 gender unidentified. In the sample, 91.8% of the sample used phones to contact their fathers and 93.8% of them use phones to contact their mothers. 78.5% and 87.6% of the sample utilized LINE to contact their fathers and mothers respectively. As for Facebook, only 13.4% and 16.5% of the sample would use to contact their fathers and mothers respectively. Aforementioned results implied that the undergraduates nowadays use phone and LINE to contact their parents more common than Facebook. According to results from Pearson correlations, the more undergraduates refused to add their fathers as their Facebook friends, the more they refused to add their mothers as Facebook friends. The possible reasons for it could be that to distinguish different social network such as family and friends. Another possible reason could be avoiding parents’ controlling. It could be why the kids prefer to use phone and LINE to Facebook when contacting their parents. Result from Pearson correlations showed that the more undergraduates actively contact their fathers, the more they actively contact their mothers. On the other hand, the more their fathers actively contact them, the more their mothers actively contact them. Based on the results, this study encourages both parents and undergraduates to contact each other, for any contact between any two family members is associated with contact between other two family members. Obviously, the contact between family members is bidirectional. Future research might want to investigate if this bidirectional contact is associated with the family relation. For gender differences, results from the independent t-tests showed that compared to sons, daughters actively contacted their parents more. Maybe it is because parents keep saying that it is dangerous out there for their daughters, so they build up the habit for their daughters to contact them more. Results from paired sample t-tests showed that the undergraduates agreed that talking to mother on the phone had more satisfaction, felt more intimacy and supported than fathers.

Keywords: family ICT communication, parent-child ICT communication, FACEBOOK and LINE, gender differences

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Authors: Kristina De Milt, Nicole Huang, Jihye Park

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Opioids have been a mainstay of the treatment of chronic pain, but their overprescription and misuse have led to an opioid epidemic. Recently, as an attempt to decrease the number of opioids prescribed, the use of cannabinoid therapy has become an increasingly popular adjunctive chronic pain management choice among providers. This review of literature investigates the effects of adjunctive cannabinoids to opioids in the management of chronic pain. The nine articles are included in the literature review range from observational studies to meta-analyses published in the year 2016 and after. A majority of the studies showed a decrease in the need for opioids after adjunctive cannabinoids were introduced and, in some instances, the cessation of opioid consumption. More high-quality evidence is needed to further support this stance and providers should weigh the benefits and risks of adjunctive cannabinoids according to the clinical picture.

Keywords: cannabis, chronic pain, opioids, pain management

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Authors: Ayman M. Mansour, Bilal Hawashin, Mohammed A. Mansour

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In this paper, we propose a cooperative learning mechanism in a multi-agent intelligent system. The basic idea is that intelligent agents are capable of collaborating with one another by sharing their knowledge. The agents will start collaboration by providing their knowledge rules to the other agents. This will allow the most important and insightful detection rules produced by the most experienced agent to bubble up for the benefit of the entire agent community. The updated rules will lead to improving the agents’ decision performance. To evaluate our approach, we designed a five–agent system and implemented it using JADE and FuzzyJess software packages. The agents will work with each other to make a decision about a suspicious medical case. This system provides quick response rate and the decision is faster than the manual methods. This will save patients life.

Keywords: intelligent, multi-agent system, cooperative, fuzzy, learning

Procedia PDF Downloads 685

Authors: Peter J. Riley

Abstract:

Medical Imaging students must understand the roles of Photo-electric Absorption (PE) and Compton Scatter (CS) interactions in patients to enable optimal X-ray imaging in clinical practice. A simulator has been developed that shows relative interaction probabilities, color bars for patient dose from PE, % penetration to the detector, and obscuring CS as Peak Kilovoltage (kVp) changes. Additionally, an anthropomorphic chest X-ray image shows the relative tissue contrasts and overlying CS-fog at that kVp, which determine the detectability of a lesion in the image. A series of interactive exercises with MCQs evaluate the student's understanding; the simulation has improved student perception of the need to acquire "sufficient" rather than maximal contrast to enable patient dose reduction at higher kVp.

Keywords: patient dose optimization, radiological physics, simulation, tissue contrast

Procedia PDF Downloads 95

Authors: Juyeon Lee, Sungeun You

Abstract:

Experiential avoidance is one’s tendency to avoid painful internal experience, unwanted adverse thoughts, emotions, and physical sensations. The Multidimensional Experiential Avoidance Questionnaire (MEAQ) is a measure of experiential avoidance, and the original scale consisted of 62 items with six subfactors including behavioral avoidance, distress aversion, procrastination, distraction/suppression, repression/denial, and distress endurance. The purpose of this study was to examine the factor structure of the MEAQ in a Korean sample. Three hundred community adults and university students aged 18 to 35 participated in an online survey assessing experiential avoidance (MEAQ and Acceptance and Action Questionnaire-II; AAQ-II), depression (Patient Health Questionnaire-9; PHQ-9), anxiety (Generalized Anxiety Disoder-7; GAD-7), negative affect (Positive and Negative Affect Scale; PANAS), neuroticism (Big Five Inventory; BFI), and quality of life (Satisfaction with Life Scale; SWLS). Factor analysis with principal axis with direct oblimin rotation was conducted to examine subfactors of the MEAQ. Results indicated that the six-factor structure of the original scale was adequate. Eight items out of 62 items were removed due to insufficient factor loading. These items included 3 items of behavior avoidance (e.g., “When I am hurting, I would do anything to feel better”), 2 items of repression/denial (e.g., “I work hard to keep out upsetting feelings”), and 3 items of distress aversion (e.g., “I prefer to stick to what I am comfortable with, rather than try new activities”). The MEAQ was positively associated with the AAQ-II (r = .47, p < .001), PHQ-9 (r = .37, p < .001), GAD-7 (r = .34, p < .001), PANAS (r = .35, p < .001), and neuroticism (r = .24, p < .001), and negatively correlated with the SWLS (r = -.38, p < .001). Internal consistency was good for the MEAQ total (Cronbach’s α = .90) as well as all six subfactors (Cronbach’s α = .83 to .87). The findings of the study support the multidimensional feature of experiential avoidance and validity of the MEAQ in a sample of Korean adults.

Keywords: avoidance, experiential avoidance, factor structure, MEAQ

Procedia PDF Downloads 365

Authors: Tesfaye Fenta Boka, Niu Zhendong

Abstract:

Recommender systems play a crucial role in connecting individuals with the items they require, as is particularly evident in the rapid growth of online grocery shopping platforms. These systems predominantly rely on user-centered recommendations, where items are suggested based on individual preferences, garnering considerable attention and adoption. However, our focus lies on the item-centered recommendation task within the grocery shopping context. In the reverse next item period recommendation (RNPR) task, we are presented with a specific item and challenged to identify potential users who are likely to consume it in the upcoming period. Despite the ever-expanding inventory of products on online grocery platforms, the cold start item problem persists, posing a substantial hurdle in delivering personalized and accurate recommendations for new or niche grocery items. To address this challenge, we propose a Graph Neural Network (GNN)-based approach. By capitalizing on the inherent relationships among grocery items and leveraging users' historical interactions, our model aims to provide reliable and context-aware recommendations for cold-start items. This integration of GNN technology holds the promise of enhancing recommendation accuracy and catering to users' individual preferences. This research contributes to the advancement of personalized recommendations in the online grocery shopping domain. By harnessing the potential of GNNs and exploring item-centered recommendation strategies, we aim to improve the overall shopping experience and satisfaction of users on these platforms.

Keywords: recommender systems, cold start item recommendations, online grocery shopping platforms, graph neural networks

Procedia PDF Downloads 91

Authors: Pırıl Tekin, Rızvan Erol

Abstract:

Risk management has become very important and popular in developing countries in recent years. Especially making patient and employee health and safety issues compulsory in the hospitals, raised the number of studies in Turkey. Also risk management become more important for hospital senior management from clinics to the laboratories. Because quality is really important to be chosen for both patients to consult and employees to prefer to work. And also risk management studies can lead to hospital management team about future works and methods. By this point of view, this study is the risk assessment carried out in the biggest dental hospital in the south part of Turkey. This study was conducted as a research case study, covering two different health care place; A Clinic and A Laboratory. It shows that the problems in this dental hospital and how it can solve all.

Keywords: risk management, healthcare, dental hospital, quality management

Procedia PDF Downloads 377

Authors: Razi Khalafi

Abstract:

Myocardial Infarction (MI) or acute Myocardial Infarction (AMI), commonly known as a heart attack, occurs when blood flow stops to part of the heart causing damage to the heart muscle. An ECG can often show evidence of a previous heart attack or one that's in progress. The patterns on the ECG may indicate which part of your heart has been damaged, as well as the extent of the damage. In chaos theory, the correlation dimension is a measure of the dimensionality of the space occupied by a set of random points, often referred to as a type of fractal dimension. In this research by considering ECG signal as a random walk we work on forecasting the oncoming heart attack by analysing the ECG signals using the correlation dimension. In order to test the model a set of ECG signals for patients before and after heart attack was used and the strength of model for forecasting the behaviour of these signals were checked. Results show this methodology can forecast the ECG and accordingly heart attack with high accuracy.

Keywords: heart attack, ECG, random walk, correlation dimension, forecasting

Procedia PDF Downloads 506