Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Israel’s “Models’ Law” on Young Women

Background: The development of eating disorders (EDs) and disordered eating pathology (DEP) is related to a complex interplay of various factors, with the media being a main risk factor. The high comorbidity related to EDs and DEP highlights the importance of preventive interventions and requires additional prevention strategies that create opportunities for policy changes, while targeting media influences. In 2012, Israel initiated the “models’ law”, setting limits on both the employment of underweight models and the use of photo editing. This study examined the impact of the models’ law on body dissatisfaction, DEP, and EDs among young women in Israel. Methods: The study included two parts: self-report questionnaires and a telephone interview. The sample of 203 women was divided into two age groups, 81 women aged 18-24 and 122 women aged 25-35-that completed both parts of the study. Results: The models’ law had significantly higher impact on younger as opposed to older participants. Yet younger participants were found to have higher levels of DEP than the older participants. Additionally, participants who were highly supportive of the law had lower levels of DEP. Conclusion: The results indicate that younger participants had higher levels of DEP and were more influenced by the thin ideal and the media. Thus, these results highlight the importance of implementing prevention programs at younger ages and expanding the spectrum of prevention programs to the field of policy change, using legislation.
Interprofessional Reflective Journals: Content Themes and Self-Regulated Learning

Abstract Self-reflection has been linked with clinical reasoning, academic, and clinical outcomes. The purpose of this study was to examine self-reflective journal entries from thirty students for interprofessional core competencies and for self-regulated learning components. The text data was analyzed using an in-depth three cycle coding process, thoroughly described in the methods. The findings were structured into two themes confirming interprofessional content learning: collaboration, team, and communication; and respect and roles. One additional theme emerged, transformation and relatedness, which indicated self-regulated learning components as well as supporting transformative learning. This qualitative case-study contributed to the research of occupational therapy students’ self-reflection and is a basis for further research for self-regulation and transformative learning.
Determination of Thermodynamic Parameters of Polylactic Acid by Thermogravimetry under Pyrolysis Conditions

In the present study, the thermodynamic parameters of Polylactic Acid (PLA) under conditions of thermal degradation were determined. The PLA material, previously sampled and characterized, was analyzed by dynamic thermogravimetry (TG) at heating rates of 5, 10 and 15 °C min−1 with a nitrogen flow of 20 mL min−1 from a temperature of 25 to 900 °C. The data were treated using isoconversional kinetic models to obtain the activation energy and the pre-exponential factor of each model. To fit the DTG curves, the Arrhenius equation was used applying the Contraction Sphere reaction model: two-dimensional phase limit reaction (R2). The thermodynamic parameters such as enthalpy, Gibbs free energy and entropy were determined from the kinetic parameters of suitable models for each heating rate after statistical validation and comparison with other studies. The results showed that as the heating rate increases, the degradation temperature also increases, while the activation energy, enthalpy and pre-exponential factor decrease. According to the value of ∆G (171.65 kJ mol−1), PLA has a significant potential to be used as a raw material to produce bioenergy/biofuels by pyrolysis.
Analysis of Onion Market Value Chain among smallholder farmers in Rural Ethiopia: A Case Study of South Bench Woreda in Bench Maji Zone, Ethiopia.

This study analyzed value chain analysis of onion market in south Bench Woreda. The data used for the study were obtained from 118 randomly selected samples of households and 65 sample of trader in the study area. The data for the study was collected from both primary and secondary sources. For the primary data collection, questionnaires was designed and pre-tested based on the objective of the study in the study area. The questionnaires schedule was tested at the farm level on 5 randomly selected farm households. The study was employed both descriptive and econometric data analysis methods. Cobb-Douglas production function model was employed to analyze the determinants of onion production supplied to the market by onion producers. Results of econometric model showed that quantity of fertilizer utilized, distance from the nearest market, family size of house hold head, educational level of house hold head, farming experience and Credit access were significantly and positively determined the quantity of onion supplied to the market. The results suggest that these significant variable need to be promoted to boost the amount of the onion market supply. In order to increase the productivity of onion there is need of public, private, research center and farmer themselves working together so as to increase access and disease resistance seed verity.
Investigation of 1, 3, 4 Oxadiazole Derivative in PTZ-Induced Neurodegeneration: A Simulation and Molecular Approach

Objective The study investigated the effect 5-[(naphthalen-2-yloxy) methyl]-1,3,4-oxadiaszole2-thiol (B3) in animal model of acute epileptic shock. Methods The pharmacokinetics profile of B3 was checked through SwissADME software. The binding affinities of B3, diazepam, and flumazenil (FLZ) were obtained through Auto Dock and PyRx. Post docking analysis and interpretation of hydrogen bonds were performed through Discovery Studio Visualizer 2016. Molecular dynamics simulations of three complexes were carried out through Desmond software package. B3 was then proceeded in PTZ-induced acute seizures models. Flumazenil was used in animal studies for elucidation of possible mechanism of B3. After behavioral studies, the animals were sacrificed, and the brain samples were isolated and stored in 4% formalin for molecular investigations including H and E staining, IHC staining and Elisa etc. Results The results demonstrate that B3 at 20 and 40 mg/kg prolonged the onset time of generalized seizures. B3 considerably increased the expression of protective glutathione S-transferase and glutathione reductase and reduced lipid peroxidation and inducible nitric oxide synthase (P < 0.001) in the cortex. B3 significantly suppressed (P < 0.01) the over expression of the inflammatory mediator tumor necrosis factor–α, whose up-regulation is reported in acute epileptic shocks. Conclusion Hence, it is concluded from the aforementioned results that B3 provides neuroprotective effects PTZ-induced acute epileptic model. FLZ pretreatment resulted in inhibition of the anticonvulsant effect of B3. B3 possesses anticonvulsant effect which may be mediated through GABAA mediated antiepileptic pathway.
Perceived Human Resource Management Practices and Demographic Profile of Staff at Private Higher Education Institutions in Oman

This study described the perceived implementation of human resource management (HRM) practices and staff’s demographic profile at private higher education institutions (HEIs) in the Sultanate of Oman. It further explored the relationship of staff profile and HRM dimensions. Purposive sampling was used with a 50 per cent response rate. The instrument is composed of two parts; the first part includes staff profile while second part consists of 10 HRM dimensions clustered in 36 HRM practices. The findings revealed that all HRM dimensions were often applied and more than half of the respondents were academic staff, expatriates, male, and from affiliated, and college HEI. As to relationship, it was found that staff’s designation and residential status had high significant relationship in most of the HRM dimensions while staff’s HEI affiliation, classification and gender had high significant relationship with two HRM dimensions.
Designing for Student-Directedness: How K–12 Teachers Utilize Peers to Support Projects

Student-directed projects—projects in which students have individual control over what they create and how to create it—are a promising practice for supporting the development of conceptual understanding and personal interest in K–12 computer science classrooms. In this article, we explore a central (and perhaps counterintuitive) design principle identified by a group of K–12 computer science teachers who support student-directed projects in their classrooms: in order for students to develop their own ideas and determine how to pursue them, students must have opportunities to engage with other students’ work. In this qualitative study, we investigated the instructional practices of 25 K–12 teachers using a series of in-depth, semi-structured interviews to develop understandings of how they used peer work to support student-directed projects in their classrooms. Teachers described supporting their students in navigating three stages of project development: generating ideas, pursuing ideas, and presenting ideas. For each of these three stages, teachers considered multiple factors to encourage engagement with peer work in their classrooms, including the quality and completeness of shared work and the modes of interaction with the work. We discuss how this pedagogical approach offers students new relationships to their own learning, to their peers, and to their teachers and communicates important messages to students about their own competence and agency, potentially contributing to aims within computer science for broadening participation.
Master Computer Science Multi-Agent Cooperation and Information Exchange in Partially Observable Games

As robotic agents become widespread in our daily life these years, inter-agent and agent-human cooperation remain a challengeable problem. Combining multi-agent reinforcement learning and evolutionary linguistics, we contemplate the robotic agents can take advantage of the messages sent from partners to perform better in partially observable games. To examine the assumption, we divide this goal into four subtasks, containing the experiments on di ﬀ erent levels of information to adaptive information exchange, and partly conduct experiments. Our experimental results show the agents cooperation emerges on su ﬃ cient observations of both Atari Cooperative Pong and card game Thegame environments. Meanwhile, Thegame agents with hard-coded fuzzy information exchange perform much better than partial information. These results indicate the potential of additional information to aid agent training with limited observation and show the possibility for ﬂexible information expression learning, which we set as our future work.
Reliability and agreement in technical and artistic scores during real-time judging in two European acrobatic gymnastic events

ABSTRACT The study investigates reliability measures for performance scores given by random judges (Execution and Artistic scores) and the agreement between more expert judges (Control Scores) and the two middle Execution/Artistic scores (Panel scores) during Qualifying and Final competitions performed at the 10th European Age Group Competition (EAGC) and at the 29th European Acrobatic Gymnastics Championships (ECh). To assess agreement, mean absolute Control-Panel score deviations were calculated using Bland-Altman and Kaplan-Meier plots. Reliability average measures ranged from 0.88 to 0.97. Control Score reliability was higher in ECh for Execution and Artistic scores. Artistic scores showed higher variability and lower agreement between judges in Qualification for ECh. Significant differences were found in Control and Panel score mean deviations for Execution scores at the EAGC and for Artistic scores at the ECh. No significant reliability differences were found between competitions. Control-and-Panel score correlations ranged from 0.862 to 0.915 for Execution scores and from 0.864 to 0.899 for Artistic scores. Overall results exceeded 80% agreement for Execution and Artistic scores. Reliability and strength of agreement of judging were high and very acceptable respectively. We suggest that judging reliability should be regularly examined to optimise technical and artistic criteria set by FIG for fairer competition.
Levels of Tumor Necrosis Factor-α (TNF-α) and Transforming Growth Factor-β1 (TGF-β1) in Gingival Crevicular Fluid During Canine Retraction Using Elastic Chain and Closed Coil Spring

Introduction: To investigate the levels of human tumor necrosis factor-α (TNF-α) and transforming growth factor β1 (TGF-β1) in gingival crevicular fluid (GCF) during canine retraction movement using elastic chains and closed coil springs. Materials and Methods: One hundred patients (49 men and 51 women; mean age, 23.6 years) entering the space closure phase of fixed orthodontic treatment participated in this research. An upper canine of each patient was retracted using an elastic chain, and the contralateral canine was retracted using a closed coil spring. GCF samples were collected from the canine before and 7 days after the force was applied. human TNF-α and TGF-β1 were determined by enzyme-linked immunosorbent assay. Results: There were significant increase in the concentrations of both TNF-α and TGF-β1 at 7 days in both groups (P < 0.05). In the evaluation of between-group differences, significantly higher values were determined in the closed coil spring group. Conclusions: The results suggest that closed coil springs give higher TNF-α and TGF-β1 concentrations as compared to elastic chains, which make more bone remodeling to occur; therefore, closed coil springs can be considered as the treatment of choice for orthodontic canine retraction.
An Early-Life NAND Flash Endurance Prediction System

NAND flash memory – ubiquitous in today’s world of smart phones, SSDs (solid state drives), and cloud storage – has a number of well-known reliability problems. NAND data contains bit errors, which require the use of error correcting codes (ECCs). The raw bit error rate (RBER) increases with program-erase (P-E) cycling, and the number of P-E cycles the device can withstand before the RBER exceeds the ECC capability is called its endurance. ECC operates on data stored in a sector of NAND, and there is a large variation in the endurance of sectors within a device and across devices, resulting in excessively conservative endurance specifications. This research shows, for the first time, that a sector’s true endurance can be predicted with remarkable accuracy, using a combination of the sector’s location within the device, and measurements taken at the very beginning of life. Real-world data is gathered on millions of NAND sectors using a custom-built test platform. Optimised machine learning classification models are built from the raw data to predict if a sector will pass or fail to a fixed ECC threshold, after a target P-E cycling level has been reached. A novel technique is demonstrated that uses different ECC thresholds for model training and testing, which allows the models to be tuned so that they never misclassify samples that would fail. This eliminates ECC failures and data loss, allowing simpler, less expensive ECC schemes to be used for modern NAND devices. It also enables significant endurance extensions to be achieved.
Polymerization of Isobutylene in a Rotating Packed Bed Reactor: Experimental and Modeling Studies

Polymerization of isobutylene (IB) for synthesizing highly reactive polyisobutylene (HRPIB) is characterized by a complicated fast intrinsic reaction rate; therefore, the features of its products exhibit a strong dependence on mixing efficiency. To provide uniform and efficient mixing, a rotating packed bed was employed as a reactor for polymerization of IB. The effects of operating parameters including polymerization temperature (T), rotating speed (N) and relative dosage of monomers and initiating systems ([M]0/[I]0) on number-average molecular weight (Mn) of HRPIB were studied. HRPIB with Mn of 2550 g·mol−1 and exo-olefin terminal content of 85 mol% were efficiently obtained at suitable conditions as T of 283 K, N of 1600 rpm and [M]0/[I]0 of 49. Moreover, the Mn can be regulated by changing T, N and [M]0/[I]0. Based on the presumptive-steady-state analysis method and the coalescence–redispersion model, a model for prediction of the Mn was developed and validated, and the calculated Mn values agreed well with experimental results, with a deviation of ±10%. The results demonstrate that RPB is a promising reactor for synthesizing HRPIB, and the given model for Mn can be applied for the design of RPB and process optimization.
Study the Association between 24 Hours Urinary Sodium, Potassium Excretion and Blood Pressure in Patients With Primary Hypertension

Background: High blood pressure or Hypertension is a very serious problem now a days. Directly intake of sodium in the form of sodium salt helping to trigger prevalence of hypertension, at the same time intake of potassium decreasing the blood pressure level. Aim and Objective: Present study aimed to study the association between 24 hours urinary sodium and Potassium excretion and blood pressure in patients with primary hypertension. Material and Methods: This randomized prospective study conducted between May 2019 and July 2020, in which each of 30 patients with hypertensive and non-hypertensive admitted to Department of General Medicine, MNR Medical College and Hospital, Sangareddy, as per the as per JNC VI report-BP – 140/90 mmHg least at three different occasions after refraining from anti-hypertensives and diuretics included in the study and blood pressure, biochemical parameters in the blood, anthropometric measurements, and 24-hour urine samples were obtained. Data was collected and analyzed by statistical software SPSS V 25. Result: Total population of 60 patients aged between 18 to 75 years distributed between cases and control as per the criteria. Average age of the patients were 49.45 ± 8.91 Years. The overall mean sodium and potassium excretion was 164.70 ± 18.85 mmol/day) and 53.68 ± 7.78 mmol/day, respectively. The average ratio of systolic/diastolic blood pressure was 139.47 ± 25.89/87.40 ± 11.12 mmHg. Age, gender, BMI and serum cholesterol had significant influence on 24 hour urinary sodium excretion. Urinary sodium was positively significant correlated with systolic and diastolic blood pressure. Present study showed that SBP and DBP were significantly associated with sodium intake among primary hypertensive and showed inversely associated with potassium. These associations were mainly driven by the hypertensive group. Conclusion: From overall analysis study conclude that in order to decline the prevalence of essential hypertension and resist to go at hypertensive crisis stage, reduction in salt intake for long term would be beneficial and also morbidity and mortality due to cardiovascular disease and stroke can be reduced.
Anomaly Detection Using Deep Learning

Deep learning has revolutionized many fields that process large amounts of data such as images, video, audio, speech, and text. Anomaly detection, however, is among the areas that still require major advancements. Based on the key traits of deep learning, which are the need for very little hand engineering, and the ability to effectively use large amounts of data, its applications in anomaly detection could be very beneficial. In this thesis, an anomaly detection architecture is proposed that consists of two models: a normal model, which is a time series forecaster and predicts the next expected behavior of the system under healthy conditions, and an anomaly detector that identifies any failure by comparing the expected values with the actual observations. Deep architectures such as convolutional neural networks and recurrent neural networks have been incorporated in the design of the normal model, and conventional machine learning methods, including one-class SVM, isolation forests, multi-layer perceptron, decision trees, and random forests are used for the anomaly detector. The proposed architecture has been applied to two problems: pipeline leak detection and condition monitoring and fault detection of small induction motors. The results of both applications have proved very promising and indicate the capacity for further improvements to come.
Assessment of combining ability, gene action and heterosis for yield and grain characters in rice (Oryza sativa L.)

Twenty four hybrids were tested along with eight lines and three testers for various yield and grain characters to understand the nature of gene action in the inheritance of various traits. gca/sca variance analysis exhibited the dominance of non-additive gene action for the traits viz., plant height, flag leaf length, flag leaf width, spikelet fertility, 1000 grain weight, single plant yield, grain length, grain breadth and L/B ratio. The lines ADT (R) 45, ADT 53, CO 54, ANNA (R) 4 and the testers 3-11-11-1 and 3-11-11-2 were determined to be good general combiners since they have contributed alleles with a positive effect on improving essential characters. The hybrids ADT (R) 45 × 3-11-11-2, ADT 37 × 3-11-11-1, ADT 37 × 3-11-11-2, ADT 53 × 3-11-11-1, CB 12132 × 3-11-11-1, CO 52 × 3-11-11-1, CO 52 × 3-1111-2, CO 52 × 3-11-11-1 and CO 54 × 3-11-11-1 were found to be good specific combiners. The crosses ADT 37× 3-11-11-2, CB 12132 × 3-11-11-1, ADT 53 × 3-11-11-2, ADT 53 × TR 13069 and CO 54 × 3-11-11-2 demonstrated significant results with respect to mean, sca and standard heterosis. These five crosses can be successfully used in further breeding programmes.
Evaluating Physical-Layer BLE Location Tracking Attacks on Mobile Devices

Mobile devices increasingly function as wireless tracking beacons. Using the Bluetooth Low Energy (BLE) protocol, mobile devices such as smartphones and smartwatches continuously transmit beacons to inform passive listeners about device locations for applications such as digital contact tracing for COVID-19, and even finding lost devices. These applications use cryptographic anonymity that limit an adversary’s ability to use these beacons to stalk a user. However, attackers can bypass these defenses by fingerprinting the unique physical-layer imperfections in the transmissions of specific devices.We empirically demonstrate that there are several key challenges that can limit an attacker’s ability to find a stable physical layer identifier to uniquely identify mobile devices using BLE, including variations in the hardware design of BLE chipsets, transmission power levels, differences in thermal conditions, and limitations of inexpensive radios that can be widely deployed to capture raw physical-layer signals. We evaluated how much each of these factors limits accurate fingerprinting in a large-scale field study of hundreds of uncontrolled BLE devices, revealing that physical-layer identification is a viable, although sometimes unreliable, way for an attacker to track mobile devices.