Miracle-dz/UniFAR-FTUs huggingface dataset:
Medical Health Benefit Management System for Real-Time Notification of Fraud Using Historical Medical Records

This paper presents a novel framework for fraud detection in healthcare systems which self-learns from the historical medical data. Historical medical records are required for training and testing of machine learning models. The main problem being faced by both private and government health supported schemes is a rapid rise in the amount of claims by beneficiaries mostly based on fraudulent billing. Detection of fraudulent transactions in healthcare systems is a strenuous task due to intricate relationships among dynamic elements including doctors, patients, service. In light of aforementioned challenges in health support programs, there is a need to develop intelligent fraud detection models for tracing the loopholes in procedures which may lead to successful reimbursement of fraudulent medical bills. In order to address the issue of fraud in healthcare programs our solution proposes a framework based on three entities (patient, doctor, service). Firstly, the framework computes association scores for three elements of the healthcare ecosystem namely patients, doctors or services. The framework filters out identified cases using association scores. The Confidence values, after G-means clustering of transactional data, are computed for each service in each specialty. Rules are generated based on the confidence values of services for each specialty. Then, an evaluation of identified cases is done using rule engine. The framework classifies cases into fraudulent activities based on the similarity bit’s value. The validation of framework is performed on local hospital employees transactional data which includes many reported cases of fraudulent activities in addition to some introduced anomalies.
Cell‐cell communication, chemotaxis and recruitment in Vibrio parahaemolyticus

Motile bacteria are proficient at finding optimal environments for colonization. Often, they use chemotaxis to sense nutrient availability and dangerous concentrations of toxic chemicals. For many bacteria, the repertoire of chemoreceptors is large, suggesting they possess a broad palate with respect to sensing. However, knowledge of the molecules detected by chemotaxis signal transduction systems is limited. Some bacteria, like Vibrio parahaemolyticus, are social and swarm in groups on surfaces. This marine bacterium and human pathogen secretes the S signal autoinducer, which cues degradation of intracellular c‐di‐GMP leading to transcription of the swarming program. Here, we report that the S signal also directs motility at a behavioral level by serving as a chemoattractant. The data demonstrate that V. parahaemolyticus senses the S signal using SscL and SscS, homologous methyl‐accepting chemotaxis proteins. SscL is required by planktonic bacteria for S signal chemotaxis. SscS plays a role during swarming, and mutants lacking this chemoreceptor swarm faster and produce colonies with more deeply branched swarming fronts than the wild type or the sscL mutant. Other Vibrio species can swim toward the S signal, suggesting a recruitment role for this cell‐cell communication molecule in the context of polymicrobial marine communities.
Synthesis and Crystal Structure Determination of a Dimeric Complex of Dimethylammoniumbis(p-tert-butylcatecholato) borate

For decades, there has been growing interest in borates mainly due to the fact that B atoms are capable of forming both the BO3 triangles or the BO4 tetrahedra. Through polymerization these B–O groups can result in constructing one dimensional (1D) chains, 2D layers, and 3D networks.1 The wide range of applications of borates virtually stems from the structureproperty relationship that render possible their huge structural varieties and the functionality of the BO units.2 Such structure diversities make the structure chemistry of borates extraordinary. Thus far, a series of borate materials have been reported for a number of utilizations, including, birefringence, piezoelectric, pyroelectric, and nonlinear optics.3–6 Boron compounds formed by a non-metallic support unit can be displayed in a binary fashion composed of an anionic borate structural unit and a cationic interstitial complex.7 The role of non-metal cations differs from metal cations, since they generally do not coordinate to oxygen in the same way, and may act instead as hydrogen bond donors to the structural unit. Continuation persistently our progressing work on borates,8–11 the process of the self-assembly of organic and inorganic moieties has been performed under DMF solution conditions, and yielded original borate with organic amine, namely dimethyl ammonium bis(p-tertbutylcatecholato) borate. The aforesaid compound (Fig. 1) was prepared by employing a DMF solution (10 mL) of 4-tert-butylcatechole (4.65 mmol), onto which was afterwards added solid boric acid (2.15 mmol) with strong stirring. The reaction mixture was allowed to be stirred at 120°C for 3 h, resulting in the formation of a colorless material. The crude product was crystallized from a water/ acetone mixture. Crystals of the title compound were obtained by slow evaporation. X-ray crystallography was performed at 223.15 K on a RIGAKU AFC73 diffractometer employing graphitemonochromated fine focussed sealed-tube Mo-Kα radiation. Crystal data and details related to the data collection are given in Table 1. The structure was solved by an intrinsic phasing 2020 © The Japan Society for Analytical Chemistry
Percentage of hypochromic red cells as a potential screening test to evaluate iron status in blood donors

Haemoglobin (Hb) levels are used to assess eligibility for blood donation but are not correlated with iron status. The percentage of hypochromic red cells (%Hypo‐He) has been suggested as a useful screening parameter for iron deficiency. The aim of this study was to determine the cut‐off level and accuracy of %Hypo‐He screening among blood donors.
Epigenetic modulation of BRCA‐1 and MGMT genes, and histones H4 and H3 are associated with breast tumors

Aberrant patterns in promoter methylation of tumor‐suppressor genes and posttranslational modifications of histone proteins are considered as major features of malignancy. In this study, we aimed to investigate promoter methylation of three tumor‐suppressor genes (BRCA‐1, MGMT, and P16) and three histone marks (H3K9ac, H3K18ac, and H4K20me3) in patients with breast tumors. This case‐control study included 27 patients with malignant breast tumors (MBT) and 31 patients with benign breast tumors (BBT). The methylation‐specific PCR was used for determining promoter methylation of BRCA‐1, MGMT, and P16 genes. Western blot analysis was performed to detect histone lysine acetylation (H3K9ac and H3K18ac) and lysine methylation (H4K20me3). BRCA‐1 promoter methylation was detected in 44.4% of the MBT whereas this alteration was found in 9.7% of BBT (P = 0.005). The Kaplan‐Meier analysis indicated that hypermethylation in BRCA‐1 promoter was significantly associated with poor overall survival of patients with breast cancer (P = 0.039). MGMT promoter methylation was identified in 18.5% of MBT and 0.0% of the BBT (P = 0.01). The frequency of P16 promoter methylation was 25.8% in BBT and 11.1% in MBT (P = 0.12). As compared with BBT, MBT samples displayed the aberrant patterns of histones marks with hypomethylation of H4K20 and hypoacetylation of H3K18 (P = 0.03 and P = 0.04, respectively). There was a negative significant correlation between H3K9ac levels and tumor size in MBT group (r = −0.672; P = 0.008). The present findings suggest that promoter hypermethylation of MGMT and BRCA‐1 genes along with alterations in H3K18ac and H4K20me3 levels may have prognostic values in patients with breast cancer. Moreover, the detection of these epigenetic modifications in breast tumors could be helpful in finding new methods for breast cancer therapy.
Quantitative phenotype analysis to identify, validate and compare rat disease models

Abstract The laboratory rat has been widely used as an animal model in biomedical research. There are many strains exhibiting a wide variety of phenotypes. Capturing these phenotypes in a centralized database provides researchers with an easy method for choosing the appropriate strains for their studies. Existing resources have provided some preliminary work in rat phenotype databases. However, existing resources suffer from problems such as small number of animals, lack of updating, web interface queries limitations and lack of standardized metadata. The Rat Genome Database (RGD) PhenoMiner tool has provided the first step in this effort by standardizing and integrating data from individual studies. Our work, mainly utilizing data curated in RGD, involves the following key steps: (i) we developed a meta-analysis pipeline to automatically integrate data from heterogeneous sources and to produce expected ranges (standardized phenotype ranges) for different strains and phenotypes under different experimental conditions; (ii) we created tools to visualize expected ranges for individual strains and strain groups. We developed a meta-analysis pipeline and an interactive web interface that summarizes and visualizes expected ranges produced from the meta-analysis pipeline. Automation of the pipeline allows for updates as additional data becomes available. The interactive web interface provides curators and researchers with a platform for identifying and validating expected ranges for a variety of quantitative phenotypes. The data analysis result and visualization tools will promote an understanding of rat disease models, guide researchers to choose optimal strains for their research needs and encourage data sharing from different research hubs. Such resources also help to promote research reproducibility. The interactive platforms created in this project will continue to provide a valuable resource for translational research efforts.
Organized anxiety: respectability politics, John Henryism, and the paradox of Black achievement

ABSTRACT Henryism as a construct draws comparisons to what is commonly referred to as respectability politics, or the active adoption of standards rooted in whiteness as a regulatory instrument of one’s behavior and emotions. This manuscript will bring Henryism and respectability politics into conversation in an effort to illuminate the paradox of achievement for Black educators and professionals. By examining the experiences of Black women in higher education wrestling with racial battle fatigue, I uncover the essence and possibilities of what E. Frances White calls the ‘double-edged nature of the politics of respectability’, recognizable as organized anxiety, a discourse of resistance and simultaneously an investment in stereotypes about Black people.
New therapies in development for the management of non‐infectious uveitis: A review

Uveitis is a spectrum of inflammatory disorders characterized by ocular inflammation and is one of the leading causes of preventable visual loss. The main aim of the treatment of uveitis is to control the inflammation, prevent recurrences of the disease and preserve vision while minimizing the adverse effects associated with the therapeutic agents. Initial management of uveitis relies heavily on the use of corticosteroids. However, monotherapy with high‐dose corticosteroids is associated with side effects and cannot be maintained long term. Therefore, steroid‐sparing agents are needed to decrease the burden of steroid therapy. Currently, the therapeutic approach for non‐infectious uveitis (NIU) consists of a step‐ladder strategy with the first‐line option being corticosteroids in various formulations followed by the use of first‐, second‐ and third‐line agents in cases with suboptimal steroid response. Unfortunately, the agents currently at our disposal have limitations such as having a narrow therapeutic window along with their own individual potential side‐effect profiles. Therefore, research has been targeted to identify newer drugs as well as new uses for older drugs that target specific pathways in the inflammatory response. Such efforts are made in order to provide targeted and safer therapy with reduced side effects and greater efficacy. Several specially designed molecular antibodies are currently in various phases of investigations that can potentially halt the inflammation in patients with NIU. In the review, we have provided a comprehensive overview of the current and upcoming therapeutic options for patients with NIU.
Joint consensus on anesthesia in urologic and gynecologic robotic surgery: specific issues in management from a task force of the SIAARTI, SIGO, and SIU.

INTRODUCTION Proper management of patients undergoing robotic-assisted urologic and gynecologic surgery must consider a series of peculiarities in the procedures for anesthesiology, critical care medicine, respiratory care, and pain management. Although the indications for robotic-assisted urogynecologic surgeries have increased in recent years, specific guidance documents are still lacking. EVIDENCE ACQUISITION Multidisciplinary group including anesthesiologists, gynecologists, urologists, and a clinical epidemiologist systematically reviewed the relevant literature and provided a set of recommendations and unmet needs on peculiar aspects of anesthesia in this field. EVIDENCE SYNTHESIS Nine core contents were identified, according to their requirements in urogynecologic robotic-assisted surgery: patient position, pneumoperitoneum and ventilation strategies, hemodynamic variations and fluid therapy, neuromuscular block, renal surgery and prevention of acute kidney injury, monitoring the depth of anesthesia, postoperative delirium and cognitive dysfunction, prevention of postoperative nausea and vomiting, and pain management in endometriosis. CONCLUSIONS This consensus document provides guidance for the management of urologic and gynecologic patients scheduled for robotic-assisted surgery. Moreover, the identified unmet needs highlight the requirement for further prospective randomized studies.
Development of CFD-based procedure for 3d gear pump analysis

Tumbling Multi-Chamber (TMC) gear pump is a generally unknown type of hydraulic device, which features a unique three-dimensional shape of the gears. The main benefits of such design over the conventional gear pumps are self-adapting tightness of the pump parts, the possibility to mold the parts from a polymer material and high volumetric efficiency, considering the simplicity of the design. The specific working principle of TMC pumps requires a slightly different approach to the numeric modeling and analysis process compared to the conventional gear pump types (e.g. external gear and gerotor pumps). One of the main contributions of the work is the development of an analysis procedure, which allows studying flow and pressure conditions in the TMC pump. This includes the influence of the positioning of the pump parts on spatial and temporal variations in sealing regions and the influence of pressure field propagation in relation to the valve plate position.
Multifactorial discrimination, discrimination salience, and prevalent experiences of internalized homophobia in middle-aged and older MSM

Abstract Objectives: We sought to test whether discrimination salience and multifactorial discrimination were associated with prevalent experiences of internalized homophobia among middle-aged and older men who have sex with men (MSM). Methods: We analyzed data from 498 middle-aged and older MSM from the Multicenter AIDS Cohort Study (MACS) who reported any lifetime discrimination experience. We estimated the prevalence ratio of current internalized homophobia using multivariable Poisson regressions, accounting for discrimination salience, multifactorial discrimination, and covariates. We then assessed whether multifactorial discrimination moderated the association between discrimination salience and internalized homophobia. Results: Over half (56.4%) of our sample reported any current experience of internalized homophobia. More than two-thirds reported multifactorial discrimination (68.2%) and more than one-third (36.7%) reported moderate-to-high discrimination salience. Increases in discrimination salience (PR = 1.11; 95% CI: 1.03-1.20) were associated with any current internalized homophobia among middle-aged and older MSM. Multifactorial discrimination was not statistically associated with internalized homophobia and did not moderate the association between discrimination salience and internalized homophobia. Conclusions: Our study underscores internalized homophobia as a persisting concern among MSM in midlife and older adulthood. Our findings suggest that salience, as a characteristic of discrimination experiences, may have a greater impact on internalized homophobia compared with exposure. Future research efforts should assess facets of discrimination salience, such as severity, frequency, and chronicity, to better understand how discrimination shapes psychosocial well-being across the life course. Mental health advocates at policy, organizational, and community levels should aim to reduce intersectional stigma and address individual experiences of internalized homophobia.
Improved hybrid improper ferroelectricity in B-site substituted Ca3Ti2O7 ceramics with a Ruddlesden–Popper structure

Ca3Ti2O7 with a Ruddlesden–Popper structure has received great scientific attention due to its high ferroelectric polarization. However, the optimization of hybrid improper ferroelectricity is still a challenging issue. In the present work, the remarkably improved ferroelectric polarization has been achieved in B-site co-substituted Ca3Ti1.8Al0. 1Nb0.1O7 ceramic. The improved ferroelectric polarization in this ceramic stems from the higher ferroelectric activity of Nb5+ cations and a larger amplitude of oxygen octahedral distortion. Moreover, the more saturated electric hysteresis loops together with the higher ferroelectric polarization can be achieved under a higher electric field and at a lower frequency. The first-order phase transition nature is proved by the thermal hysteresis, while the Curie temperature is directly proportioned to the tolerance factor. The present work provides an effective way to improve the ferroelectric properties without declining the Curie temperature in Ca3Ti2O7-based hybrid improper ferroelectricities.
Children Growth Awareness: An Important Role for Reaching the Optimal First 1000 Days in Life

Background and Aims: Monitoring child growth, including measurement of weight, height or length, and head circumference, plays an important role in detecting a child’s growth abnormalities and monitoring a child’s nutritional adequacy. This study aimed to measure the completeness of growth chart in maternal and child health handbook (MCHH) and identify cadres’ practices on child growth monitoring. Methods: This is a cross-sectional survey conducted in three stunting villages in Lombok Tengah, Indonesia, between June and July 2019. We evaluated 59 cadres and nutritionists using questionnaire and reviewed 205 MCHHs. Results: We found 100% (205 out of 205) of the World Health Organization (WHO) growth charts, including weight for height/length, height/length for age, and head circumference for age graphs in MCHH were not filled. Out of 59 participants, 23.7% (14 people) never participated in height/length measurement, and only 13.6% (8 people) did a head circumference measurement at least once. 94.9% (56 people) never filled or plotted WHO curves in the MCHH with the most reasons are did not know how to fill (64.4%), and 28.8% did not know that the growth chart can be filled and plotted. Implication: Routine child growth monitoring should be done especially for children under two years of age. As child growth and development screening and monitoring are important and could affect children in reaching their potentials, we suggest that government should socialize more about the importance and the urgency about child growth and development awareness to all parents and healthcare practitioners.
The complex case of EHRs: examining the factors impacting the EHR user experience

Abstract Physicians can spend more time completing administrative tasks in their electronic health record (EHR) than engaging in direct face time with patients. Increasing rates of burnout associated with EHR use necessitate improvements in how EHRs are developed and used. Although EHR design often bears the brunt of the blame for frustrations expressed by physicians, the EHR user experience is influenced by a variety of factors, including decisions made by entities other than the developers and end users, such as regulators, policymakers, and administrators. Identifying these key influences can help create a deeper understanding of the challenges in developing a better EHR user experience. There are multiple opportunities for regulators, policymakers, EHR developers, payers, health system leadership, and users each to make changes to collectively improve the use and efficacy of EHRs.
PWM Based VSC for Power Quality Assessment of Grid Integrated DFIG-WECS

The world is experiencing wind energy with high penetration causing multifold increase in the wind energy capacity [1]. The wind energy conversion system (WECS) not only aims at maximizing the power at variable wind speeds but it should also provide good power quality [2]. Typically, due to its elegant performance with variable wind speeds, partial scale convertors, effective active and reactive power transfer and control capacities, low equipment costs and reduced power losses, DFIG has been chosen to maintain maximum power output [3]. It covers more than 50% of worldwide onshore large-scale wind power installations [4], [5]. The main problem with WECS on a converter basis is that frequency and voltage variations [ 6-7] are driven by the variable wind speed. Large oscillations in wind speed as stated above significantly change the power output as a result of irregular environmental conditions [8]. For the operational efficiency and reliability, DFIG based wind power generation must be capable of staying with power grid and contribute towards voltage stability. Since, DFIG uses a bidirectional VSC which enables it to receive and transfer reactive power [9-10]. Abstract: The socioeconomic indicators are exclusively dependent upon the growth of energy for every country. The rise of population and urbanization on one hand and environmental degradation by fossil fuel sources on the other has realized the world for sustainable sources of energy to meet the energy imbalance. Therefore, high penetration of wind energy is need of the hour to meet the challenge of rising consumption of power. Globally, wind energy trends are witnessing a rapid growth with the passage of time. In this research contribution, the Doubly Fed Induction Generator (DFIG) derived wind power generation has been selected to harness wind energy at variable speed. The uncertain and fluctuating nature of wind flow cause power quality problems. MATLAB simulation model has been designed and response of power quality issues like voltage sag and harmonic distortion is checked both at No load and with load at the point of common coupling (PCC). For smooth integration of wind turbine generator with power grid, pulse width modulated (PWM) voltage source converters (VSC) are used both at the rotor side converter (RSC) and the grid side converter (GSC). Proportional integral (PI) controllers are used along with VSC for high power output.