Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantifying the Effects of American Football Shoulder Pads on Reach Distance and Player Perception of Comfort and Fit

Background: The majority of sports equipment research to date has focused on their protective capabilities, and not on how they impact player performance and comfort while using them. Objective: The purpose of this study was to quantify the reach distances of players wearing different football shoulder pads and determine player perceptions of shoulder pad comfort and fit. Methods: Football players (n=10) underwent a standardized reach distance protocol comprised of three trials of repeated shoulder flexion, extension, abduction, horizontal flexion, and horizontal extension in each of the three shoulder pad conditions (no shoulder pad, standard shoulder pad, prototype shoulder pad). Player perceptions of shoulder pad comfort and fit, breathability, restrictiveness, and weight were also evaluated using a questionnaire. Reach distances were recorded using five GoPro Hero 9 cameras and analyzed using ProAnalyst®3D motion tracking software. Results: Reach distances were significantly affected during several movements, but especially in the vertical direction, for flexion and abduction, with mean differences between the prototype pad and standard pad of 10.3 cm and 23.1 cm, respectively (P = 0.007 and P = 0.003). Differences in reach distance were greater for the standard shoulder pad than the prototype shoulder pad on average. This indicates that the prototype shoulder pad was less restrictive, which aligned with what players reported. There was significantly more discomfort reported in the neck collar and armpit regions for the standard shoulder pad compared to the prototype pad. Participants also found the prototype shoulder pad to be lighter, and more breathable (P0.05). Conclusion: These results provide manufacturers with valuable insights from a design standpoint, and offer athletes who are looking for superior sport protective equipment key evidence regarding shoulder pad performance, fit, and comfort.
A Novel Chase Kötter-Vardy Algorithm

In this paper, we first formulate a novel Chase Guruswami-Sudan algorithm which list corrects not only all errors among the Chase flipping symbols but also the number of errors up to the enhanced Johnson bound among remaining positions, for Reed-Solomon and $q$ -ary BCH codes. The enhanced Johnson bound is induced by shortening the code without those Chase flipping symbols. We next devise a novel Chase Kötter-Vardy algorithm for soft decision decoding of Reed-Solomon codes. We show that the a posteriori probabilities of two branches of one of the least unreliable symbols which undergo Chase flipping shall be merged and assigned to the correct branch out of the two (it does not matter anyway if neither is correct), based on the rationale that one of exhaustive Chase flipping patterns must hit the genie pattern among the flipped symbols. During the exhaustive trial-and-error Chase decoding, each flipping pattern is treated as the genie and thus the associated branches of each flipping symbol are assigned with the merged a posteriori probabilities while its alternative branch is amortized. The multiplicity matrix is constructed using the state-of-the-art Kötter-Vardy transformation. We show by both theoretical analysis and simulations that the proposed Chase Kötter-Vardy algorithm significantly outperforms the original Kötter-Vardy algorithm under a similar complexity. We then extend this approach to a coded Chase decoding scheme wherein the Chase pattern set comes from a covering code. Surprisingly, simulations show that the best performance is typically achieved by concatenating the exhaustive Chase flipping on a number of the most reliable secondary indexes and a coded Chase flipping on the remaining secondary most reliable secondary indexes. We also employ a novel preprocessing technique that enforces a zero constant term for the message polynomial, by equivalently sacrificing one parity symbol. It effectively eradicates spurious candidate bivariate polynomials by merely computing and checking their constant terms, and thus dramatically reduces the number of candidate bivariate polynomials that are actually interpolated and factorized.
Identification of genetic variants by whole genome sequencing in Ankamali pigs of Kerala

Ankamali pig is a domesticated native variety of Kerala which is well known for its disease resistance, lean meat and adaptability to hot tropical environments. Recent breakthrough in genome sequencing technologies have created unparalleled prospects to characterize individual genomic landscapes and identifying mutations between and within populations. The current study aims to determine the genetic variations in Ankamali pigs using whole genome sequencing. The GATK HaplotypeCaller was used to identify the variants. There were over 26 million (26,604,589) single nucleotide variants (SNVs), including more than 21 million SNPs and over 5 million indels. In Ankamali pigs, the total genome length obtained was more than 2.5 billion with an average variant rate of one variant in every 94 bases. The significance of different variant rate on 18 chromosomes were analysed using the chi-square statistics. The variant rates in Sus scrofa chromosomes10 and 13 were significantly different (p<0.01%) in Ankamali pigs. The significantly higher variable rate on chromosome 10 was observed with one variant per 64 bases. Whereas, significantly lower variable rate was observed on chromosome 13, with one variant in every 122 bases. The variant rate reported on Sus scrofa chromosome 12 (SSC12) was also significantly higher (p<0.05%), having one variant per 72 bases. The variability of many genes and QTLs associated with several haematological traits and meat quality traits located on these chromosomes may contribute the phenotypic and genetic uniqueness of Ankamali animals.
ChatGPT and Stress

ChatGPT is an artificial-intelligence chatbot. In addition to comprehending an image like a text prompt, it can understand complex prompts and exhibit human-level performance. It became the fastest-growing application in history, acquiring one million users within five days of release. However, despite its potential to improve productivity, job satisfaction, self-efficacy, and wages, it causes stress to individuals. This study examines the relationship between stress and ChatGPT in Thailand. Although stress is a severe health problem in the country, ChatGPT cannot be avoided as this application helps support the country’s targeted digital technology industry. The study uses a proxy for unobserved stress levels and ChatGPT concerns using Google’s search volume indexes. Based on daily samples from December 10, 2015, to May 31, 2023, regression analysis revealed that ChatGPT significantly increased stress levels. However, during the development sub-sample, the stress level decreased. Stress escalated in the early- and viral-use sub-samples, where the effect for the viral-use sub-sample was significantly higher. In the COVID-19 pandemic sub-sample, the effect was non-significant. The causality of ChatGPT in stress was confirmed by the contemporaneous-causality test.
Grasping Performance Analysis and Comparison of Multi-Chamber Ring-Shaped Soft Grippers

Biologically inspired pneumatic ring-shaped soft grippers have been extensively studied in the field of soft robotics. However, the effect of the number of air chambers on the grasping performance (grasping range and load capacity) of ring-shaped soft grippers has not been studied. In this article, we propose three ring-shaped soft grippers with the same area of inner walls of air chambers and different numbers of air chambers (two-chamber, three-chamber, and four-chamber) for analyzing and comparing their grasping performance. Finite element method (FEM) models and experimental measurements are conducted to compare the deformation of the inner walls of the three ring-shaped soft grippers, the results indicate that the grasping range of the three-chamber ring-shaped soft gripper is larger than that of the two-chamber ring-shaped soft gripper and the four-chamber ring-shaped soft gripper. Then we choose the three-chamber ring-shaped soft gripper to study the relationship between contact force and air pressure by FEM models and experimental measurements. Several groups of experiments are constructed to compare the load capacity of the three ring-shaped soft grippers, the results indicate that the load capacity of the three-chamber ring-shaped soft gripper is higher than that of the two-chamber ring-shaped soft gripper and the four-chamber ring-shaped soft gripper. The above results reveal that the grasping performance of the three-chamber ring-shaped soft gripper is better than that of other two ring-shaped soft grippers. Furthermore, the application experiments indicate that the three ring-shaped soft grippers can grasp various objects with different weights, material properties, and shapes. This study provides a new idea for investigating ring-shaped soft grippers.
Multispectral imaging based on a Smartphone with an external C-MOS camera for detection of seborrheic dermatitis on the scalp

To date, the incident rates of various skin diseases have increased due to hereditary and environmental factors including stress, irregular diet, pollution, etc. Among these skin diseases, seborrheic dermatitis and psoriasis are a chronic/relapsing dermatitis involving infection and temporary alopecia. However, they typically exhibit similar symptoms, thus resulting in difficulty in discrimination between them. To prevent their associated complications and appropriate treatments for them, it is crucial to discriminate between seborrheic dermatitis and psoriasis with high specificity and sensitivity and further continuously/quantitatively to monitor the skin lesions during their treatment at other locations besides a hospital. Thus, we here demonstrate a mobile multispectral imaging system connected to a smartphone for selfdiagnosis of seborrheic dermatitis and further discrimination between seborrheic dermatitis and psoriasis on the scalp, which is the more challenging case. Using the system developed, multispectral imaging and analysis of seborrheic dermatitis and psoriasis on the scalp was carried out. It was here found that the spectral signatures of seborrheic dermatitis and psoriasis were discernable and thus seborrheic dermatitis on the scalp could be distinguished from psoriasis by using the system. In particular, the smartphone-based multispectral imaging and analysis moreover offered better discrimination between seborrheic dermatitis and psoriasis than the RGB imaging and analysis. These results suggested that the multispectral imaging system based on a smartphone has the potential for self-diagnosis of seborrheic dermatitis with high portability and specificity.
The invisible role of feminine caregivers in Palestine. The Emancipatory Research process as a path towards well-being

The paper aims to analyse the well-being of feminine caregivers in Palestine. In order to do that it explores the outcomes of the preliminary step of the Emancipatory Research (ER) carried out in the “PARTICIP-ACTION” Project (financed by the Italian Agency for Development Cooperation – Ministry of Foreign and International Cooperation, promoted and carried out by EducAid – Inclusive Education and Social Innovation for International Cooperation). The ER is a bottom-up process that promotes a progressive involvement of vulnerable groups of people as researchers at first hand. In case herein considered, the researchers are 30 feminine caregivers of relatives with disability. Starting from their own point of view and their own personal experience, they first selected and then investigated a few dimensions of well-being deemed essential for them to reach a good quality of life.
Jitter Modeling for High Precision Frequency Measurements in Oscillator Circuits

This paper studies the concept of jitter in a frequency measurement system and proposes a method of converting phase noise to random jitter. The study illustrates the impact of jitter on a PLL circuit by constructing a model of an oscillator with realistic random jitter. The modeled jitter was implemented using Verilog, and the outcomes were examined using MATLAB. We present a comprehensive approach to generate jitter via a phase noise model, which simplifies the testing of circuits under different conditions, such as various environments and temperatures. To verify the proposed method, the simulations of a 1st order Bang-Bang Phase Locked Loop Frequency-to-Digital Converter are performed with and without jitter. The results indicate that the proposed method of converting phase noise to random jitter provides an accurate and reliable way to examine the robustness of circuits under the presence of jitter.
A Random Forest Model for Post-Treatment Survival Prediction in Patients with Non-Squamous Cell Carcinoma of the Head and Neck

Background: Compared to squamous cell carcinoma, head and neck non-squamous cell carcinoma (HNnSCC) is rarer. Integrated survival prediction tools are lacking. Methods: 4458 patients of HNnSCC were collected from the SEER database. The endpoints were overall survivals (OSs) and disease-specific survivals (DSSs) of 3 and 5 years. Cases were stratified–randomly divided into the train & validation (70%) and test cohorts (30%). Tenfold cross validation was used in establishment of the model. The performance was evaluated with the test cohort by the receiver operating characteristic, calibration, and decision curves. Results: The prognostic factors found with multivariate analyses were used to establish the prediction model. The area under the curve (AUC) is 0.866 (95%CI: 0.844–0.888) for 3-year OS, 0.862 (95%CI: 0.842–0.882) for 5-year OS, 0.902 (95%CI: 0.888–0.916) for 3-year DSS, and 0.903 (95%CI: 0.881–0.925) for 5-year DSS. The net benefit of this model is greater than that of the traditional prediction methods. Among predictors, pathology, involved cervical nodes level, and tumor size are found contributing the most variance to the prediction. The model was then deployed online for easy use. Conclusions: The present study incorporated the clinical, pathological, and therapeutic features comprehensively and established a clinically effective survival prediction model for post-treatment HNnSCC patients.
RELATIONSHIP BETWEEN DISPOSITIONAL MINDFULNESS AND LIFE SATISFACTION AMONG UNDERGRADUATE STUDENTS IN MALAYSIA: COGNITIVE REAPPRAISAL AS THE MEDIATOR

Undergraduate students are facing different challenges and stressors in their life, which may lower their life satisfaction. Dispositional mindfulness has been found to increase life satisfaction, and this relationship might include cognitive process namely cognitive reappraisal. Hence, grounded in Mindfulness-to-Meaning Theory, this study examined cognitive reappraisal as the mediator in the relationship between dispositional mindfulness and life satisfaction among 147 undergraduate students (aged 18-25 years old) who were studying in Malaysia. A non-experimental correlational design was used, where the students were required to fill in three questionnaires through Google Form survey, the results were analysed through hierarchical multiple regression. The results supported all four hypotheses, with significant positive relationships found among dispositional mindfulness, cognitive reappraisal and life satisfaction. Cognitive reappraisal partially mediated the relationship between dispositional mindfulness and life satisfaction. The findings provide valuable information for the experts to devise mindfulness interventions by incorporating cognitive reappraisal strategies, allowing students to use cognitive reappraisal to cope with challenges, improving life satisfaction.
SARS-CoV-2 Recombination and Coinfection Events Identified in Clinical Samples in Russia

Recombination is one of the mechanisms of SARS-CoV-2 evolution along with the occurrence of point mutations, insertions, and deletions. Recently, recombinant variants of SARS-CoV-2 have been registered in different countries, and some of them have become circulating forms. In this work, we performed screening of SARS-CoV-2 genomic sequences to identify recombination events and co-infections with various strains of the SARS-CoV-2 virus detected in Russia from February 2020 to March 2022. The study included 9336 genomes of the COVID-19 pathogen obtained as a result of high-throughput sequencing on the Illumina platform. For data analysis, we used an algorithm developed by our group that can identify viral recombination variants and cases of co-infections by estimating the frequencies of characteristic substitutions in raw read alignment files and VCF files. The detected cases of recombination were confirmed by alternative sequencing methods, principal component analysis, and phylogenetic analysis. The suggested approach allowed for the identification of recombinant variants of strains BA.1 and BA.2, among which a new recombinant variant was identified, as well as a previously discovered one. The results obtained are the first evidence of the spread of recombinant variants of SARS-CoV-2 in Russia. In addition to cases of recombination we identified cases of coinfection: eight of them contained the genome of the Omicron line as one of the variants, six of them the genome of the Delta line, and two with the genome of the Alpha line.
Sulforaphane Reduces the Chronic Inflammatory Immune Response of Human Dendritic Cells

Background: Sulforaphane (SFN) is an isothiocyanate of vegetable origin with potent antioxidant and immunomodulatory properties. The characterization of its pleiotropic activity in human dendritic cells (DCs) is poorly summarized. The aim of this work was to study the immunomodulatory power of SFN in response to an inflammatory microenvironment on human monocyte-derived DCs (moDCs). Methods: We studied the immunological response induced by SFN. Apoptosis and autophagy assays were performed using flow cytometry on moDCs and a cancer cell line (THP-1). These included moDC maturation, lymphocyte proliferation and cytokine production under different experimental conditions. We investigated whether these results were associated with an inflammatory microenvironment induced by lipopolysaccharides (LPSs). Results: Our results demonstrated that SFN could interact with moDCs, significantly reducing the autophagy process and enhancing apoptosis similarly to cancer cell line THP-1 cells in a chronic inflammatory microenvironment. Under chronic inflammation, SFN modulated the phenotypical characteristics of moDCs, reducing the expression of all markers (CD80, CD83, CD86, HLA-DR and PD-L1). SFN significantly reduced the Th2 proliferative response, with a decrease in the IL-9 and IL-13 levels. Although we did not observe any changes in the regulatory proliferative response, we noted an increase in the IL-10 levels. Conclusions: These findings demonstrate that SFN exerts protective effects against LPS-induced inflammation via the modulation of moDCs/T cells towards a regulatory profile. SFN may be a potential candidate for the treatment of pathologies with an inflammatory profile.
Black hole formation, holographic thermalization and the AdS/CFT correspondence

The AdS/CFT correspondence is one of the most important discoveries in theoretical physics in recent years. It states that certain quantum mechanical theories can actually be described by classical gravity in one higher dimension, in a spacetime called anti-de Sitter (AdS) space. What makes this duality so useful is that it relates theories with weak coupling to theories with strong coupling and thus provides a new tool for tackling strongly coupled quantum field theories, which are notoriously difficult to handle using conventional methods. During the course of my PhD I have mostly studied time dependent processes, in particular thermalization processes, in quantum field theories using the AdS/CFT correspondence. On the gravity side, this is dual to dynamical formation of black holes from the collapse of matter fields. By studying the gravitational collapse process in detail, we can then draw conclusions about the dynamical formation of a thermal state in the dual quantum field theory. Using mostly numerical methods, I have studied how confinement affects thermalization in quantum field theories, where the system may never thermalize and field theory observables undergo interesting quasiperiodic behaviour. I have also studied formation of black holes in three dimensions which due to the simplified nature of three-dimensional gravity can be done using analytical methods. This has led to the discovery of new solutions of three-dimensional gravity corresponding to the formation of black holes without spherical symmetry, which can provide a deeper understanding of thermalization in two-dimensional quantum field theories. In a third line of research, I have studied higher spin gravity in three dimensions, an exotic extension of three-dimensional gravity which includes fields with spin higher than two, and we outline a new method to construct black hole solutions carrying higher spin charge.
The effect of ratio combination and binders on the digestibility of mesquit (Prosopis Juliflora) leaves and pods

Prosopis juliflora has long been used as a leguminous tree forage. However, the availability of high concentrations of tannins has hindered its usage. The study aimed at determining the most digestible ratio combination of P. Juliflora (PJ) leaves and pods and the effect of wood ash and bentonite on their digestibility. Therefore, in-vitro digestibility (IVD) trials were conducted on PJ leaves and pods (PJLP) at ratios of 0:100, 25:75, 50:50, 75:25
PENGARUH BOARD DIVERSITY, CEO CHARACTERISTICS DAN BOARD COMMITTEES TERHADAP FIRM PERFORMANCE PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA

Penelitian ini mengkaji pengaruh Board diversity, CEO characteristics, dan board committees terhadap firm performance Perbankan yang terdaftar di Bursa Efek Indonesia (BEI). Untuk menguji pengaruh karakteristik ini, sampel data diperoleh dari 39 perusahaan untuk periode 2017-2021, menggunakan model regresi data panel. Temuan menunjukkan bahwa terdapat pengaruh dari board diversity yang berkaitan dengan board size dan independent share terhadap ROA kemudian independent share dan women share terhadap Tobin’s Q . Selanjutnya, firm performance dapat dipengaruhi oleh CEO Characteristics terutama oleh variabel CEO Age yang berpengaruh signifikan pada ROA dan Tobin’s Q. Dalam hal board committees, audit committee ditemukan memiliki pengaruh terhadap Tobin’s Q namun tidak pada ROA. Remuneration committee berpengaruh signifikan pada ROA namun tidak pada Tobin’s Q dan nomination committee berpengaruh terhadap ROA dan Tobin’s Q. Berdasarkan temuan ini, dapat dikatakan bahwa peningkatan praktik tata kelola perusahaan dari perusahaan Perbankan yang terdaftar di BEI akan meningkatkan kinerja dan nilai perusahaan tersebut. Kata Kunci : Firm Performance; Board Diversity; CEO Characteristics; Board Committees; Bursa Efek Indonesia