Miracle-dz/UniFAR-FTUs huggingface dataset:
Religious issues as a message in political communications during local elections

This research focuses on religious issues used as messages in political communication. A campaign is a form of political communication by one of the candidates for local leader dan vice local leader of Gresik regency Sambari Qosim (SQ) in the 2015 regional election. This study employed a qualitative approach; therefore, the researcher used observation, in-depth interviews, and documentation to collect data. The study found that the SQ candidate pair used religious issues as a message in their political campaign because the local vice leader of Gersik Regency, Mohammad Qosim, was the son of a Kyai. Thus, such a strategy made it easier for him to gain sympathy from the voters, who would ultimately determine his choice of the pair. This strategy was implemented due to the socio-cultural community of Gresik Regency, a religious society that considers religion to be sacred, including the figure of a Kyai. As a religious figure, the Kyai must be obeyed and become an example in attitude and behaviour. This condition prompted the SQ candidate to take advantage of religious issues to gain as many votes as possible to win the 2015 regional elections.
Feeding guild structure of birds at Keshopur Chhamb wetland, Gurdaspur

To achieve a comprehensive understanding of avian feeding guild structure the present study was conducted at Keshopur wetland Ramsar site, district Gurdaspur, Punjab, India. A total of 121 species of birds belonging to 19 orders and 47 families were observed. Direct observation techniques and focal sampling methods were used to study their foraging behaviour. Seven major feeding guilds ie. , carnivorous, insectivorous, omnivorous, granivorous, herbivorous, frugivorous and nectarivorous were found. Maximum number of species were of carnivorous guild (28%) followed by insectivorous (21%). Cattle egret and red-wattled lapwing, members of carnivorous guild were observed to feed on insects also, hence placed in multiple guilds. Northern shoveler, eurasian coots and purple moorhen were seen foraging in association with each other. The large number of insectivorous birds depicts the presence of rich number of insects. The presence of birds belonging to seven foraging guilds highlight the significance of Keshopur wetland in providing a rich feeding ground to both migratory as well as resident birds.
Effect of the COVID-19 pandemic on patients with inherited neuromuscular disorders

ABSTRACT Background The COVID-19 pandemic has brought substantial challenges for current practices in treating hereditary neuromuscular disorders (hNMDs). However, this infection has not been the only concern for these patients. Social distancing has compromised multidisciplinary assistance and physical activity, and has brought about several mental health issues. We presented a follow-up on 363 patients with hNMDs at a Brazilian tertiary center during the peak of the COVID-19 pandemic. Objective We aimed to show the frequency and severity of SARS-CoV-2 infection among hNMD patients and to demonstrate the effects of the pandemic on life habits, disease progression and multidisciplinary supportive care status. Methods Three hundred and sixty-three patients (58% male and 42% female) were followed for three months through three teleconsultations during the peak of the COVID-19 pandemic in Brazil. Results There were decreases in the numbers of patients who underwent physical, respiratory and speech therapies. For several patients, their appetite (33%) and sleep habits (25%) changed. Physical exercises and therapies were interrupted for most of the patients. They reported new onset/worsening of fatigue (17%), pain (17%), contractions (14%) and scoliosis (7%). Irritability and sleep, weight and appetite changes, and especially diminished appetite and weight loss, were more frequent in the group that reported disease worsening. There was a low COVID-19 contamination rate (0.8%), and all infected patients had a mild presentation. Conclusion The isolation by itself was protective from a COVID-19 infection perspective. However, this isolation might also trigger a complex scenario with life habit changes that are associated with an unfavorable course for the NMD.
Bioinformatics Analysis of LGR4 in Colon Adenocarcinoma as Potential Diagnostic Biomarker, Therapeutic Target and Promoting Immune Cell Infiltration

Colon adenocarcinoma is one of the tumors with the highest mortality rate, and tumorigenesis or development of colon adenocarcinoma is the major reason leading to patient death. However, the molecular mechanism and biomarker to predict tumor progression are currently unclear. With the goal of understanding the molecular mechanism and tumor progression, we utilized the TCGA database to identify differentially expressed genes. After identifying the differentially expressed genes among colon adenocarcinoma tissues with different expression levels of LGR4 and normal tissue, protein–protein interaction, gene ontology, pathway enrichment, gene set enrichment analysis, and immune cell infiltration analysis were conducted. Here, the top 10 hub genes, i.e., ALB, F2, APOA2, CYP1A1, SPRR2B, APOA1, APOB, CYP3A4, SST, and GCG, were identified, and relative correlation analysis was conducted. Kaplan–Meier analysis revealed that higher expression of LGR4 correlates with overall survival of colon adenocarcinoma patients, although expression levels of LGR4 in normal tissues are higher than in tumor tissues. Further functional analysis demonstrated that higher expression of LGR4 in colon adenocarcinoma may be linked to up-regulate metabolism-related pathways, for example, the cholesterol biosynthesis pathway. These results were confirmed by gene set enrichment analysis. Immune cell infiltration analysis clearly showed that the infiltration percentage of T cells was significantly higher than other immune cells, and TIMER analysis revealed a positive correlation between T-cell infiltration and LGR4 expression. Finally, COAD cancer cells, Caco-2, were employed to be incubated with squalene and 25-hydroxycholesterol-3-sulfate, and relative experimental results confirmed that the cholesterol biosynthesis pathway involved in modulating the proliferation of COAD tumorigenesis. Our investigation revealed that LGR4 can be an emerging diagnostic and prognostic biomarker for colon adenocarcinoma by affecting metabolism-related pathways.
General Geometry Computed Tomography Reconstruction

The discovery of Carbon Nanotubes and their ability to produce X-rays can usher in a new era in Computed Tomography (CT) technology. These devices will be lightweight, flexible and portable. The proposed device, currently under development, is envisioned as a flexible sheet of tiny X-ray emitters and detectors. The device is wrapped around an appendage to acquire X-ray projections and reconstruct a CT image. However, current CT reconstruction algorithms can only be used if the geometry of the CT device is regular (usually circular). We present an efficient and accurate reconstruction technique that is unconstrained by the geometry of the CT device. Indeed the geometry can be both regular and highly irregular. To evaluate the feasibility of reconstructing a CT image from such a device, a simulation test bed was built to generate simulated CT ray sums of an image. This data was then used in our reconstruction method. The reconstruction method consists of resampling the irregular X-ray projection onto a regular grid, whereupon the Filtered Backprojection method can be used. Our method depends on the ability to know the locations of the X-ray emitters and detectors; we foresee integrating a shape-tracking device into the CT-scanner. In anticipation that a real-world implementation of such a device will have to be robust to measurement errors, we have conducted tests to analyze how our reconstructions behave in the presence of errors. Observations of reconstructions, as well as quantitative results, suggest that this simple method is efficient and accurate.
Quinoa (Chenopodium quinoa): Nutritional composition and bioactive compounds of grain and leaf, and impact of heat treatment and germination

Quinoa (Chenopodium quinoa) is an Andean pseudocereal produced in countries such as Bolivia, Peru, Ecuador and southern Colombia, with more than 3,000 varieties, distinguished by their nutritional properties and adaptation to different agro-ecological zones. Quinoa's nutritional profile stands out for its protein, carbohydrate, lipid and gluten-free content; it is rich in vitamins; and it is an excellent source of minerals, such as calcium, magnesium, iron and phosphorus. It is one of the few foods that have in its composition all the essential amino acids, standing out from other cereals such as rice or wheat. It is an excellent source of bioactive compounds, which have antioxidant, cytotoxic, antidiabetic and anti-inflammatory properties. With respect to quinoa leaves, several studies have indicated that they have higher protein content than grains, as well as inorganic nutrients such as calcium, phosphorus, iron and zinc. In addition, they can potentially serve as a rich source of phenolic compounds and carotenoids. Conventional heat treatments greatly or slightly affect the composition of the food, including bioactive compounds and antioxidant capacity. Germination provides the product with greater bioavailability and an increase in bioactive compounds. The purpose of this work was to document research on quinoa and its leaves, the effect of thermal treatments and germination on its bioactive compounds, in order to promote the creation and innovation of products based on its bioactive compounds, thus combating malnutrition in our population.
Biodegradable-Glass-Fiber Reinforced Hydrogel Composite with Enhanced Mechanical Performance and Cell Proliferation for Potential Cartilage Repair

Polyvinyl alcohol (PVA) hydrogels are promising implants due to the similarity of their low-friction behavior to that of cartilage tissue, and also due to their non-cytotoxicity. However, their poor mechanical resistance and insufficient durability restricts their application in this area. With the development of biodegradable glass fibers (BGF), which show desirable mechanical performance and bioactivity for orthopedic engineering, we designed a novel PVA hydrogel composite reinforced with biodegradable glass fibers, intended for use in artificial cartilage repair with its excellent cytocompatibility and long-term mechanical stability. Using structure characterization and thermal properties analysis, we found hydrogen bonding occurred among PVA molecular networks as well as in the PVA–BGF interface, which explained the increase in crystallinity and glass transition temperature, and was the reason for the improved mechanical performance and better anti-fatigue behavior of the composites in comparison with PVA. The compressive strength and modulus for the PBGF-15 composite reached 3.05 and 3.97 MPa, respectively, equaling the mechanical properties of human articular cartilage. Moreover, the increase in BGF content was found to support the proliferation of chondrocytes in vitro, whilst the PVA hydrogel matrix was able to control the ion concentration by adjusting the ions released from the BGF. Therefore, this novel biodegradable-glass-fiber-reinforced hydrogel composite possesses excellent properties for cartilage repair with potential in medical application.
A Mini-Review Regarding the Clinical Outcomes of In Vitro Fertilization (IVF) Following Pre-Implantation Genetic Testing (PGT)-Next Generation Sequencing (NGS) Approach

Background: PGT-based NGS revolutionized the field of reproductive medicine, becoming an integrated component within current assisted reproductive technology (ART) protocols. Methods: We searched the literature published in the last half a decade in four databases (PubMed/Medline, ISI Web of Knowledge, ScienceDirect, and Scopus) between 2018 and 2022. Results: A total of 1388 articles were filtered, from which 60 met, initially, the eligibility criteria, but only 42 were included (≥100 patients/couples—62,465 patients and 6628 couples in total) in the present mini-review. In total, forty-two (70.0%) reported reproductive outcomes, while eighteen (30.0%) had distinct objectives. Furthermore, n = 1, 1.66% of the studies focused on PGT, n = 1, 1.66% on pre-implantation genetic testing for monogenic disorders (PGT-M), n = 3, 5.0% on pre-implantation genetic testing for structural rearrangements (PGT-SR) and n = 55, 91.66% on pre-implantation genetic testing for aneuploidies (PGT-A). Conclusions: PGT using NGS proved to be an excellent companion that folds within the current ascending tendency among couples that require specialty care. We strongly encourage future studies to provide a systematic overview expanded at a larger scale on the role of the PGT-NGS.
Values Underpinning Integrated, People-Centred Health Services: Similarities and Differences among Actor Groups Across Europe

Introduction: In addition to the functional aspects of healthcare integration, an understanding of its normative aspects is needed. This study explores the importance of values underpinning integrated, people-centred health services, and examines similarities and differences among the values prioritised by actors across Europe. Methods: Explorative cross-sectional design with quantitative analysis. A questionnaire of 18 values was conducted across Europe. A total of 1,013 respondents indicated the importance of each of the values on a nine-point scale and selected three most important values. Respondents were clustered in four actor groups, and countries in four European sub-regions. Results: The importance scores of values ranged from 7.62 to 8.55 on a nine-point scale. Statistically significant differences among actor groups were found for ten values. Statistically significant differences across European sub-regions were found for six values. Our analysis revealed two clusters of values: ‘people related’ and ‘governance and organisation’. Discussion and conclusion: The study found that all 18 values in the set are considered important by the respondents. Additionally, it revealed distinctions in emphasis among the values prioritised by actor groups and across sub-regions. The study uncovered two clusters of values that contribute to a conceptually based definition of integrated, people-centred health services.
The Perception of the Patient Safety Climate by Health Professionals during the COVID-19 Pandemic—International Research

The patient safety climate is a key element of quality in healthcare. It should be a priority in the healthcare systems of all countries in the world. The goal of patient safety programs is to prevent errors and reduce the potential harm to patients when using healthcare services. A safety climate is also necessary to ensure a safe working environment for healthcare professionals. The attitudes of healthcare workers toward patient safety in various aspects of work, organization and functioning of the ward are important elements of the organization’s safety culture. The aim of this study was to determine the perception of the patient safety climate by healthcare workers during the COVID-19 pandemic. Methods: The study was conducted in five European countries. The Safety Attitude Questionnaire (SAQ) short version was used for the study. A total of 1061 healthcare workers: physicians, nurses and paramedics, participated in this study. Results: All groups received the highest mean results on the stress recognition subscale (SR): nurses 98.77, paramedics 96.39 and physician 98.28. Nurses and physicians evaluated work conditions (WC) to be the lowest (47.19 and 44.99), while paramedics evaluated perceptions of management (PM) as the worst (46.44). Paramedics achieved statistically significantly lower scores compared to nurses and physicians in job satisfaction (JS), stress recognition (SR) and perception of management (PM) (p < 0.0001). Paramedics compared to nurses and physicians rank better in working conditions (WC) in relation to patient safety (16.21%). Most often, persons of lower seniority scored higher in all subscales (p = 0.001). In Poland, Spain, France, Turkey, and Greece, healthcare workers scored highest in stress recognition (SR). In Poland, Spain, France, and Turkey, they assessed working conditions (WC) as the worst, while in Greece, the perception of management (PM) had the lowest result. Conclusion: Participant perceptions about the patient safety climate were not at a particularly satisfactory level, and there is still a need for the development of patient safety culture in healthcare in Europe. Overall, positive working conditions, good management and effective teamwork can contribute to improving employees’ attitudes toward patient safety. This study was carried out during the COVID-19 pandemic and should be repeated after its completion, and comparative studies will allow for a more precise determination of the safety climate in the assessment of employees.
Lightweight Multireceptive Field CNN for 12-Lead ECG Signal Classification

The electrical activity produced during the heartbeat is measured and recorded by an ECG. Cardiologists can interpret the ECG machine's signals and determine the heart's health condition and related causes of ECG signal abnormalities. However, cardiologist shortage is a challenge in both developing and developed countries. Moreover, the experience of a cardiologist matters in the accurate interpretation of the ECG signal, as the interpretation of ECG is quite tricky even for experienced doctors. Therefore, developing computer-aided ECG interpretation is required for its wide-reaching effect. 12-lead ECG generates a 1D signal with 12 channels among the well-known time-series data. Classical machine learning can develop automatic detection, but deep learning is more effective in the classification task. 1D-CNN is being widely used for CVDS detection from ECG datasets. However, adopting a deep learning model designed for computer vision can be problematic because of its massive parameters and the need for many samples to train. In many detection tasks ranging from semantic segmentation of medical images to time-series data classification, multireceptive field CNN has improved performance. Notably, the nature of the ECG dataset made performance improvement possible by using a multireceptive field CNN (MRF-CNN). Using MRF-CNN, it is possible to design a model that considers semantic context information within ECG signals with different sizes. As a result, this study has designed a multireceptive field CNN architecture for ECG classification. The proposed multireceptive field CNN architecture can improve the performance of ECG signal classification. We have achieved a 0.72 F1 score and 0.93 AUC for 5 superclasses, a 0.46 F1 score and 0.92 AUC for 20 subclasses, and a 0.31 F1 score and 0.92 AUC for all the diagnostic classes of the PTB-XL dataset.
Exploring the perspectives of ‘young adults’ (18–24) who have been in formal care and their experiences of attending a socially prescribed community allotment gardening group

Introduction: Young adults who have experienced periods of time being ‘in care’ are one of the most socially deprived populations within society, with their needs largely unmet and often not fully understood. Despite the significant attempts to invest in community-based ‘social prescribing’ interventions to address such health inequalities, there is a dearth of understanding regarding how such occupation-based community groups are experienced by this particular population. This UK based qualitative study aimed to explore the experiences of young adult ‘Care Leavers’ regarding their participation in a socially prescribed community gardening group. Method: Semi-structured online interviews were conducted with six young care leavers aged between 18 and 24 years who regularly participated in a community gardening group. Interviews were recorded transcribed verbatim and analysed Braun and Clarke’s Thematic Analysis process by two researchers to maximise validity. Findings: Four key themes emerged: ‘Social belonging and connection’, ‘A safe space’, ‘Sense of achievement from active engagement’ and ‘The facilitatory aspects of nature’. The findings suggested nature-based co-occupation within a local group, enhanced social capital, self-identity and wellbeing. Conclusion: This study supports the emerging scope of using community occupation-based interventions with young adult ‘Care Leavers’ and offers an insight into their particular needs.
Ecofriendly Management of Major Insect Pests of Stored Maize

The laboratory experiments were conducted during 2017-2018 and 2018-2019 to study the efficacy of seed protectants namely fly ash, paddy husk and it’s ash, turmeric powder, silica gel, neem leaves and oil, eucalyptus leaves and oil, canola oil and boric acid against rice weevil Sitophilus oryzae (L.) and lesser grain borer Rhyzopertha dominica (F.) and khapra beetle Trogoderma granarium Everts on stored maize (genotype HQPM 1). The results revealed that neem oil was the most ecofriendly treatment against S. oryzae with 94.76% adult mortality, 12.54x population growth after 6 months and 0% grain damage (pooled data). In case of R. dominica, maximum mortality (91.90%) and 0% grain damage was observed in neem oil but minimum growth (12.44-) value was observed for canola oil. The neem oil was also found effective against T. granarium (92.83% mortality; 0% grain damage), and the least (60.04 larval growth was observed with canola oil. Neem oil showed maximum (80%, 80% and 86.67%) repellency against S. oryzae, R. dominica and T. granarium, respectively which was followed by eucalyptus oil. The neem oil showed 86% germination which was followed by eucalyptus oil (84%). The boric acid showed adverse effects on germination of maize seeds.
Robust Distributed Secondary Control for AC Microgrids With Time-Varying Delay

Non-smooth, nonuniform, and even unbounded communication time delays, which are called irregular time delays, are unavoidable in many practical systems. Currently, there is no available approach that can solve the secondary voltage and frequency restoration control problem for an ac microgrid (MG) in the presence of such unknown irregular time delays. In this brief, we propose a resilient secondary control scheme to solve the problem. To ensure system stability and achieve asymptotic voltage and frequency restoration, sufficient conditions are established in the form of algebraic gains using a multidimensional small gain approach. Simulation and experimental case studies validate that the proposed control scheme can effectively solve this problem in a tested ac MG.
The effect of cognitive-behavioral group therapy on depression and quality of life in patients with chronic renal failure

Background and purpose: The aim of this study was to determine the effect of cognitive-behavioral group therapy on depression and quality of life in patients with chronic renal failure. Materials and methods: The present study was a quasi-experimental study with pretest, posttest design in experimental and control groups. The statistical population included all patients with chronic renal failure who were present for treatment in Mehr Madar Hospital in Torbat-e-Jam (A city in Iran) in the 2020 and among them 30 patients with Cochran statistical formula were selected as the research sample. And 15 people in the control group were randomly assigned. The research process was performed for both groups once a week during 8 sessions of 90 minutes (Experiment: Psychoeducation / control: to evaluate the effect of placebo, round-the-clock sessions to share their experiences with each other without the active role of psychologist and facilitator). Measurement tools included Beck Depression Inventory (II) and Quality of Life Questionnaire (SF-36). Statistical analysis of data was performed using SPSS-23 software. Results: The results showed that there was a significant difference between the experimental and control groups in both variables of depression and quality of life.