Top Scoring Research Articles

Implementation of Gradient Boosted Tree, Support Vector Machinery and Random Forest Algorithm to Detecting Financial Fraud in Credit Card Transactions

According to Google Trends data, machine learning-based credit card identification has grown over the last five years, at the very least, across all nations. In order to detect credit card fraud in this study, the authors will use machine learning methods such random forests, support vector machines, and gradient-boosted trees. The authors used the Synthetic Minority Oversampling Technique (SMOTE) and Random Under Sampling (RUS) sampling methods in each algorithm to compare because there was a class imbalance in this investigation. The research findings demonstrate that the author's algorithm and sample technique were successfully used, as shown by the AUC values obtained for each being > 0.7. The top score in RUS was 0.7835 using the Random Forest algorithm, whereas the greatest score in SMOTE was 0.73 with the Gradient Boosted Trees approach. The Random Forest algorithm and the Random Under Sampling (RUS) technique are developed as a result of this research, and they are useful for identifying fraudulent credit card transactions.

Identification of CXCR4 inhibitors as a key therapeutic small molecule in renal fibrosis

The final stage of almost all chronic kidney diseases is renal fibrosis. Simple wounds or persistent inflammation can cause tissue inflammation, which, in the case of the kidney, results in scarring. Vascular sclerosis, tubulointerstitial fibrosis and glomerular fibrosis are all types of kidney fibrosis. Renal damage and fibrosis are caused by elevated expression of CXCR4. This study aimed to identify possible pharmacological agents which could bind to and inhibit isoform I of CXCR4 and determine their strength of interactions. The I-TASSER, Galaxyweb and Robetta were used to predict and refine the structure of the CXCR4 protein. ModBase was used to improve the loops, and then the quality was evaluated by using the ERRAT value (92.15) and Ramachandran plot. The improved 3D structure was subjected to small molecule database docking using Maestro (from Schrodinger) and the glide module. GROMACS was used to simulate molecules with the three top low glide scores and the best ADME properties. The best glide score was achieved by ligand ID 4990 (-11.5). Simulations, free energy landscape and residue decomposition analysis revealed that 4990 interacted more consistently with CXCR4 than the other two small molecules. Communicated by Ramaswamy H. Sarma

Pharmacoinformatics-based identification of phytochemicals from Solanum torvum Swartz. fruits as potential inhibitors for MAPK14 protein

Plants and phytocompounds gained more attention because of their unrivalled variety of chemical diversity. In this view, the present study was executed to predict the anticancer potential of Solanum torvum Swartz. fruits derived phytocompounds against one of the breast cancer target proteins (MAPK14, PDB ID: 5ETA, resolution: 2.80 Å) through pharmacoinformatics-based screening and molecular dynamics simulation tools. Initially, a graph theoretical network approach was used to visualize the genes, enzymes, and proteins involved in the signalling pathway of breast cancer and identify the significant target protein (MAPK14). A total of thirty-three active compounds were selected from S. torvum sw. through the IMPPAT database, and their structures were drawn by Chemsketch software. The drug-like behaviours of the compounds were assessed through pharmacokinetics and physicochemical characterization studies. Five compounds, namely chlorogenin (−10.90 kcal × mol−1), corosolic acid (−10.80 kcal × mol−1), solaspigenin (−10.80 kcal × mol−1), paniculogenin (−10.70 kcal × mol−1), spirostane-3,6-dione (−10.70 kcal × mol−1) exhibited top binding score against MAPK14, these are higher than that of the standard drug (Doxorubicin) (−8.60 kcal × mol−1). Additionally, the five top-binding compounds revealed better drug-likeness traits and the lowest toxicity profiles. MD simulation studies confirmed the stability of the top five scored compounds with the MAPK14 binding pockets. According to these findings, the selected five compounds might be used as significant MAPK14 inhibitors and can be used as new medicines for the treatment of breast cancer. Communicated by Ramaswamy H. Sarma

Comparison of interpersonal quality of contraceptive counseling delivered via telehealth versus in person

ObjectivesThis study aimed to compare the interpersonal quality of contraceptive counseling between telehealth and in-person visits. Study designPatients at a single Title X–funded clinic selected their preferred counseling modality (in person or telehealth via video or telephone) when scheduling an appointment for contraception. After counseling, we invited patients to complete a survey and recorded their desired contraceptive method. We assessed the quality of counseling using the Interpersonal Quality in Family Planning scale. We reviewed the electronic medical record to identify any subsequent clinician visit. We performed between-group comparisons using Mann-Whitney U, χ2, and Fisher exact tests. ResultsFrom March 2021 to June 2022, 360 patients were eligible to participate, and 296 (82%) completed the survey and were included in the analysis; 150 (51%) completed counseling in person, and 146 (49%) completed counseling via telehealth. In the telehealth group, 102 (70%) chose telephone, and 44 (30%) chose video. Respondent characteristics were similar between groups. The majority of respondents in both groups reported high quality of counseling, defined as a top score on the Interpersonal Quality in Family Planning scale (75.0% telehealth respondents and 80.0% in person, p = 0.30). Compared to respondents completing in-person counseling, telehealth respondents were less likely to have a subsequent clinician visit (89.0% versus 100.0%, p < 0.001). ConclusionsThe majority of respondents reported high-quality contraceptive counseling without significant difference between the modalities. However, respondents choosing telehealth were less likely to have a subsequent clinician visit. Given the higher uptake of telephone compared to video, telehealth via telephone may be more accessible or acceptable to some patients. ImplicationsContraceptive counseling via telehealth has similar high interpersonal quality when compared to traditional, in-person visits. However, barriers may exist for patients who choose telehealth contraceptive counseling to access subsequent in-person care. Utilization of telehealth for contraceptive visits may provide opportunities for more equitable health care and to expand contraceptive access.

Decoding Argentina's path to World Cup glory: Unveiling the winning factors in match result analysis

The use of technology in evaluating the results of football matches has been used in various countries. This study aimed to identify and analyze the match results of the Argentina national team as the 2022 World Cup champion team. This research was a descriptive quantitative research that was analyzed in statistical form. The data sources were collected by the researcher by analyzing statistical data and video recordings of matches from the official FIFA website, Whoscored and Vidio. A total of 7 matches had been played by the Argentina national team in the 2022 World Cup competition, analyzed in terms of goals, ball possession, attempts at goal, direction of attack, distribution and defense. The results showed that most goals were scored in the 31-45th minute and most conceded in the 76-90 th minute, with the most ways being open play, most goals scored in area 3 with the striker being the top scorer. Argentina is quite dominant and controls the match in ball possession, attempt on target and total distribution (passing success, crossing success, and line breaks success) in every match with many attacks started from the right. When carrying out defensive pressure and tackles, Argentina is also more effective than its opponent. In this study, it could be concluded that the parameters to achieve victory were not only from ball possession, attempt success, and passing success but also seen from distribution parameters (crossing and line break success) and defensive parameters, especially defensive pressure which was also an indicator of team success in a match. It is hoped that in the future there will be further research discussing the successful journey of a team in several competitions followed by analysis parameters that are not much different, especially with a more detailed analysis of distribution and defense systems.

Shared Decision Making for Elective Surgical Procedures in Older Adults with and without Cognitive Insufficiencies.

Older adults are prone to cognitive impairment, which may affect their ability to engage in aspects of shared decision making (SDM) and their ability to complete surveys about the SDM process. This study examined the surgical decision-making processes of older adults with and without cognitive insufficiencies and evaluated the psychometric properties of the SDM Process scale. Eligible patients were 65 y or older and scheduled for a preoperative appointment before elective surgery (e.g., arthroplasty). One week before the visit, staff contacted patients via phone to administer the baseline survey, including the SDM Process scale (range 0-4), SURE scale (top scored), and the Montreal Cognitive Assessment Test version 8.1 BLIND English (MoCA-blind; score range 0-22; scores < 19 indicate cognitive insufficiency). Patients completed a follow-up survey 3 mo after their visit to assess decision regret (top scored) and retest reliability for the SDM Process scale. Twenty-six percent (127/488) of eligible patients completed the survey; 121 were included in the analytic data set, and 85 provided sufficient follow-up data. Forty percent of patients (n = 49/121) had MoCA-blind scores indicating cognitive insufficiencies. Overall SDM Process scores did not differ by cognitive status (intact cognition = 2.5, s = 1.0 v. cognitive insufficiencies = 2.5, s = 1.0; P = 0.80). SURE top scores were similar across groups (83% intact cognition v. 90% cognitive insufficiencies; P = 0.43). While patients with intact cognition had less regret, the difference was not statistically significant (92% intact cognition v. 79% cognitive insufficiencies; P = 0.10). SDM Process scores had low missing data and good retest reliability (intraclass correlation coefficient = 0.7). Reported SDM, decisional conflict, and decision regret did not differ significantly for patients with and without cognitive insufficiencies. The SDM Process scale was an acceptable, reliable, and valid measure of SDM in patients with and without cognitive insufficiencies. Forty percent of patients 65 y or older who were scheduled for elective surgery had scores indicative of cognitive insufficiencies.Patient-reported shared decision making, decisional conflict, and decision regret did not differ significantly for patients with and without cognitive insufficiencies.The Shared Decision Making Process scale was an acceptable, reliable, and valid measure of shared decision making in patients with and without cognitive insufficiencies.

Fulfilment Level of Customers and Competitive Patterns of White Goods in Kanyakumari District

Objective: The study aimed to evaluate and analyze customer satisfaction and competitive trends in the white goods industry, focusing on washing machines in the Kanyakumari District, Tamil Nadu, India. The research centered around three main brands: Videocon, MIDEA, and Hilton. Theoretical Framework: The research was grounded on key theories related to consumer behavior, competitor analysis, and customer satisfaction. These concepts were considered vital in influencing market dynamics and shaping business strategies within the industry. Method: The study employed an empirical analysis, which involved surveying users of the three washing machine brands in the Kanyakumari district. The factors assessed were brand image, product features, design, pricing, after-sales services, and durability. Results and Conclusion: Most consumers in the Kanyakumari district preferred semi-automatic washing machines. Videocon was favored due to its affordable pricing and product features, MIDEA for its brand image and aesthetics, and Hilton primarily for its low price. In terms of customer satisfaction, Videocon emerged as the top scorer, trailed by MIDEA and Hilton. Implications of the research: The research's findings could assist companies in the white goods sector in understanding the factors influencing consumer behavior and competitive trends, thereby enabling them to refine their strategies. The study offers an in-depth perspective of customer satisfaction and competitive trends in the white goods industry. Originality/Value: This research contributes to the existing body of knowledge by offering a detailed examination of customer satisfaction and competitive trends in the white goods industry within the specific context of the Kanyakumari district. Its findings hold value for academic researchers and business strategists alike in this sector.

Selection of honey bee (Apis mellifera L.) colonies for desirable traits

The experiment on selecting honey bee Apis mellifera L. colonies for desirable traits was conducted at the Apiary of the Department of Entomology, CCS Haryana Agricultural University, Hisar, Haryana (India) during 2020-21. The significant variations were observed in various colony parameters viz. colony strength (7.2 to 13.0 no. of bee frames), brood area (1029.42 to 3917.73 cm2), honey store (1196.48 to 2568.71 g), pollen area (314.76 to 692.73 cm2), brood survival rate (76.56 to 91.61.39 %) and paper potness (8.82 to 24.73 %). Ranking of honey bee colonies was developed on the basis of a five-point scoring system for each desirable trait. Colonies were rated based on 1 to 5 point scale. The average score ranged from 1.2 to 4.9. On the basis of top score, 9 colonies (C-6, C-8, C-2, C-20, C-12, C-11, C-5, C-19 and C-16) were selected for further evaluation and mass queen rearing, having average scores ranged from 3.5 to 4.9.

The Impact of Patient-Physician Racial and Gender Concordance on Patient Satisfaction with Outpatient Clinic Visits.

Patient and provider race and gender concordance (patient and physician identify as the same race/ethnicity or gender) may impact patient experience and satisfaction. We sought to examine how patient and physician racial and gender concordance effect patient satisfaction with outpatient clinical encounters. Furthermore, we examined factors that changed satisfaction among concordant and discordant dyads. Consumer Assessment of Healthcare Provider and Systems (CAHPS) Patient Satisfaction Survey Scores were collected from outpatient clinical encounters between January 2017 and January 2019 at the University of California, San Francisco. Patients who were seen in the eligible time period, who voluntarily provided physician satisfaction scores. Providers with fewer than 30 reviews and encounters with missing data were excluded. Primary outcome was rate of top satisfaction score. The provider score (1-10 scale) was dichotomized as "top score (9-10)" and "low scores (<9)." A total of 77,543 evaluations met inclusion criteria. Most patients identified as White (73.5%) and female (55.4%) with a median age of 60 (IQR 45, 70). Compared to White patients, Asian patients were less likely to give a top score even when controlling for racial concordance (OR: 0.67; CI 0.63-0.714). Telehealth was associated with increased odds of a top score relative to in-person visits (OR 1.25; CI 1.07-1.48). The odds of a top score decreased by 11% in racially discordant dyads. Racial concordance, particularly among older, White, male patients, is a nonmodifiable predictor of patient satisfaction. Physicians of color are at a disadvantage, as they receive lower patient satisfaction scores, even in race concordant pairs, with Asian physicians seeing Asian patients receiving the lowest scores. Patient satisfaction data is likely an inappropriate means of determining physician incentives as such may perpetuate racial and gender disadvantages.

Combination fairness with scores in outlier detection ensembles

We revisit score combinations for outlier detection ensembles (ODEs). Different detectors' scores vary in ranges and scales. Normalization transforms these into a common range. We assert that ODE score combinations may remain biased despite normalization. Determining a suitable normalization for an outlier model is challenging, which captures original score statistics apt for different parameters across different datasets. Thus, treating higher normalized scores of one detector as superior outlying probabilities to other detectors may be inappropriate. With differences between top rankers' scores, detectors with higher normalized scores dominate during combination. This limits the effective utilization of diversity, undesired for ensembles. We propose a framework FairComb for providing unbiased combination treatment to outputs of all detectors. It stands for combination fairness in ODEs. We define combination parity, which quantifies differences between detectors' participation in ensemble results. Higher combination parity indicates higher combination unfairness. This fairness work differs from others, which aim for fair treatment of protected data groups. The proposed FairComb checks for significant score variations across an ensemble. A reduction approach is used to mitigate these variations. We use a baseline approach WtSR to prove that addressing this issue promotes fairer combinations. Experiments on benchmark datasets demonstrate the effectiveness of FairComb.

Women physicians receive lower Press Ganey patient satisfaction scores in a multicenter study of outpatient gynecology care

Emerging data suggest that patient satisfaction data are subject to inherent biases that negatively affect women physicians. This study aimed to describe the association between the Press Ganey patient satisfaction survey and physician gender in a multi-institutional study of outpatient gynecologic care. This was a multisite, observational, population-based survey study using the results of Press Ganey patient satisfaction surveys from 5 unrelated community-based and academic medical institutions with outpatient gynecology visits between January 2020 and April 2022. The primary outcome variable was the likelihood to recommend a physician, and individual survey responses served as the unit of analysis. Patient demographic data were collected through the survey, including self-reported age, gender, and race and ethnicity (categorized as White, Asian, or Underrepresented in Medicine, which groups together Black, Hispanic or LatinX, American Indian or Alaskan Native, and Hawaiian or Pacific Islander). Bivariate comparisons between demographics (physician gender, patient and physician age quartile, patient and physician race) and likelihood to recommend were assessed using generalized estimating equation models clustered by physician. Odds ratios, 95% confidence intervals, and P values for these analyses are reported, and results were considered statistically significant at P<.05. Analysis was performed using SAS, version 9.4 (SAS Institute Inc., Cary, NC). Data were obtained from 15,184 surveys for 130 physicians. Most physicians were women (n=95 [73%]) and White (n=98 [75%]), and patients were also predominantly White (n=10,495 [69%]). A little over half of all visits were race-concordant, meaning that both patient and physician reported the same race (57%). Women physicians were less likely to receive a topbox survey score (74% vs 77%) and in the multivariate model had 19% lower odds of receiving a topbox score (95% confidence interval, 0.69-0.95). Patient age had a statistically significant relationship with score, with patients aged ≥63 years having >3-fold increase in odds of providing a topbox score (odds ratio, 3.10; 95% confidence interval, 2.12-4.52) compared with the youngest patients. After adjustment, patient and physician race and ethnicity showed similar effects on the odds of a topbox likelihood-to-recommend score, with Asian physicians and Asian patients having lower odds of a topbox likelihood-to-recommend score when compared with White physicians and patients (odds ratio: 0.89 [95% confidence interval, 0.81-0.98] and 0.62 [95% confidence interval, 0.48-0.79], respectively). Underrepresented in medicine physicians and patients showed significantly increased odds of a topbox likelihood-to-recommend score (odds ratio: 1.27 [95% confidence interval, 1.21-1.33] and 1.03 [95% confidence interval, 1.01-1.06], respectively). The physician age quartile was not significantly associated with odds of a topbox likelihood-to-recommend score. Women gynecologists were 18% less likely to receive top patient satisfaction scores compared with men in this multisite, population-based survey study using the results of Press Ganey patient satisfaction surveys. The results of these questionnaires should be adjusted for bias given that they provide data currently being used to understand patient-centered care.

The Effectiveness of the “Numbered Heads Together” Cooperative Learning Model in Nahwu Learning Outcomes | Fa'aaliyah Namuudzaj Al-Ta'allum Al-Ta'aawuniy "Numbered Heads Together" fii Tarqiyah Nataaij Ta'allum Al-Nahw

The learning model is an essential element in the learning process. Many studies state that the Numbered Heads Together is a learning model that has proven effective in increasing student interest and learning outcomes in various materials. However, not much research has revealed the effectiveness of NHT in language learning, especially in Arabic. Therefore, the researchers want to explore the efficacy of the NHT learning model in improving Arabic learning outcomes on nahwu material. This study aims to explain the effectiveness of using the Numbered Heads Together cooperative learning model in enhancing learning outcomes of nahwu material. The research design used was the Experiment posttest-only control design. The sample divided into two classes was all second-grade students of KMI PP Khadimul Ummah Riau. The data collection method used tests, while the data analysis method used the t-test and SPSS 16. The results of the data analysis in this study were: (1) posttest on experimental class students with minimum value of 65, maximum value of 100, and mean of 83.00. The minimum posttest results for control class students were 53, the top score was 90, and the mean was 74.26. (2) The results of this study indicated that Sig. (2-tailed) from the Mann-Whitney Test was 0.003 0.05. From these data, NHT cooperative learning significantly influences the learning outcomes of second-grade students at Khodimul Ummah Riau Islamic Boarding School.

Targeting lipid-sensing nuclear receptors PPAR (α, γ, β/δ): HTVS and molecular docking/dynamics analysis of pharmacological ligands as potential pan-PPAR agonists.

The global prevalence of obesity-related systemic disorders, including non-alcoholic fatty liver disease (NAFLD), and cancers are rapidly rising. Several of these disorders involve peroxisome proliferator-activated receptors (PPARs) as one of the key cell signaling pathways. PPARs are nuclear receptors that play a central role in lipid metabolism and glucose homeostasis. They canactivate or suppress the genes responsible for inflammation, adipogenesis, and energy balance, making them promising therapeutic targets for treating metabolic disorders. In this study, an attempt has been made to screen novel PPAR pan-agonists from the ZINC database targeting the three PPAR family of receptors (α, γ, β/δ), using molecular docking and molecular dynamics (MD) simulations. The top scoring five ligands with strong binding affinity against all the three PPAR isoforms were eprosartan, canagliflozin, pralatrexate, sacubitril, olaparib. The ADMET analysis was performed to assess the pharmacokinetic profile of the top 5 molecules. On the basis of ADMET analysis, the top ligand was subjected to MD simulations, and compared with lanifibranor (reference PPAR pan-agonist). Comparatively, the top-scoring ligand showed better protein-ligand complex (PLC) stability with all the PPARs (α, γ, β/δ). When experimentally tested in in vitro cell culture model of NAFLD, eprosartan showed dose dependent decrease in lipid accumulation and oxidative damage. These outcomes suggest potential PPAR pan-agonist molecules for further experimental validation and pharmacological development, towards treatment of PPAR-mediated metabolic disorders.

Top Scoring Abstracts of the RCOG World Congress 2023.

Top Scoring Abstracts of the RCOG World Congress 2023.

Top Scoring Abstracts of the RCOG World Congress 2023.

Top Scoring Abstracts of the RCOG World Congress 2023.

Top Scoring Abstracts of the RCOG World Congress 2023.

Top Scoring Abstracts of the RCOG World Congress 2023.

Top Scoring Abstracts of the RCOG World Congress 2023.

Top Scoring Abstracts of the RCOG World Congress 2023.

Top Scoring Abstracts of the RCOG World Congress 2023.

Top Scoring Abstracts of the RCOG World Congress 2023.

Top Scoring Abstracts of the RCOG World Congress 2023.

Top Scoring Abstracts of the RCOG World Congress 2023.

Top Scoring Abstracts of the RCOG World Congress 2023.

Top Scoring Abstracts of the RCOG World Congress 2023.