Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Using Scientific Stations Strategy in Developing Deductive Thinking of Intermediate School Students in General Sciences

The study aimed to know the effect of using the Scientific stations strategy in developing Deductive thinking of intermediate school students in the science subject. To achieve the aim of the research, the researcher used experimental design with two equal groups, the research sample consisted of (65) intermediate-grade students in Al Nidhal school for boys represented by (30) students of the experimental group and (35) students for the control group, the researcher equivalence of the two research groups with a set of variables including (Intelligence, parents ’educational level, previous achievement, age calculated by months and pre-test for Deductive thinking), to verify the research aim the researcher put the two hypotheses as following : 1- There is no statistical significant difference at the level of significance (0.05) between the scores mean of the members of the experimental group and the members of the control group in the post test of Deductive thinking. 2- There is no statistical significant difference at the level of significance (0.05) between the mean difference between the (pre and post) tests of both experimental and control groups in the Deductive thinking test. To verify the research hypotheses, the researcher prepared a test for Deductive thinking consisting of (20) items the researcher applied the test of Deductive thinking, collected the data, and tabulated it in tables for statistical processing and the results indicated: 1- There is a statistical significant difference between the scores mean of students in both groups in the Deductive thinking test and in favor of the experimental group. 2- There is a statistical significant difference between the mean difference between the two tests (pre - post) and in favor of the experimental group.
Establishment and Validation of Novel Clinical Prognosis Nomograms for Luminal A Breast Cancer Patients with Bone Metastasis

Purpose Overall survival (OS) and cancer-specific survival (CSS) of luminal A breast cancer (BC) patients with bone metastasis remain poor and vary dramatically from person to person. Our goal was to build two universally applicable nomograms to accurately predict OS and CSS for luminal A patients with bone metastasis. Methods The data were collected from the Surveillance, Epidemiology, and End Results (SEER) database for luminal A BC patients with bone metastasis between 2010 and 2015. Univariate and multivariate Cox regression analyses were to assess and identify independent risk factors of OS and CSS. Integrating all significant predictors, nomograms and risk group stratification model was developed. The performance of the nomogram was validated with concordance index (C-index), calibration plots, and decision curve analyses (DCA) for discriminative ability, calibration, and clinical utility, respectively. Results 3171 luminal A BC patients with bone metastasis were included. Through univariate and multivariate Cox regression analyses, 12 variables were identified as both independent OS- and CSS-related factors, including age, race, primary site, histology grade, tumor size, surgery, brain metastasis, liver metastasis, lung metastasis, estrogen receptor status, progesterone receptor status, and insurance. Our nomograms for 1-, 3-, and 5-year survival were based on those significant prognostic factors to develop. The C-indexes of OS- and CSS-nomograms in the training cohort were 0.701 and 0.704, respectively. Similar results were obtained in the validation cohort. The calibration curves and DCA presented satisfactory calibration and clinical utility. Conclusion Two nomograms have good discrimination, calibration, and clinical utility, can accurately and effectively predict the prognosis of patients, and may benefit for clinical decision-making. In high-risk patients, more aggressive therapy and closer surveillance should be considered.
Effect of Pressure on the Spectra of Transition Metal Ions in MgO and Al2O3

The effect of pressure to 150 kbar has been measured on the spectra of several transition metal ions in MgO and Al2O3. In general, there is an increase in crystal field strength with increasing pressure. The inter‐electronic repulsion parameter decreased slightly with increasing pressure indicating a small increase in covalency. For Al2O3, Dq shifts as (V0/V)5/3 indicating that the R−5 law holds, and the local compressibility is the same as the bulk compressibility. In MgO the shift is always more rapid than R−5, indicating local relaxation near the foreign ion. Above about 50 kbar there is a marked increase of trigonal distortion in Al2O3.
VISITORS’ CHARACTERISTICS AND DESTINATION IMAGE: THE CASE OF NIGERIAN ZOOS

When compared to in situ conservation sites like national parks and game reserves in Nigeria, zoos are the most visited wildlife tourism destinations given their proximity to people and close interactions with wildlife. This study explored the characteri stics of visitors and the image they possess about zoos. A total of 1529 visitors were sampled using a structured questionnaire in four prominent Nigerian zoos in the southwest zone. The results revealed that the majority of visitors were single, young and mid adult male and female Nigerians within the age range of 18 -37 years. The foremost image of visitors about a zoo is that of close wildlife experience, recreation and entertainment, however, conservation was least acknowledged. Only age was found to have a significant relationship with the destination image. The st udy concludes that zoo managers should continually employ various strategies in projecting the right image of zoos. The study extends current re search on zoos by highlighting so far, the uninvestigated image of zoos in Nigeria and documenting practical implications .
Illicit and Prescription Drug Misuse among Sexual Minority Women in the United States: A Protocol for a Scoping Review.

Background The United States Institute of Medicine (IOM) published reports in 1999 and 2011 identifying drug use as a priority area for sexual minority health research, specifically focused on mechanisms contributing to drug use disparities and the development of tailored interventions. Limited research has prioritized sexual minority women (SMW) with the majority of substance use research among sexual minorities focused on adolescents and men who have sex with men. This scoping review will characterize the research literature related to illicit drug use and prescription drug misuse among SMW and sub-groups within the SMW population. Through this, we will identify: (1) specific substances used; (2) patterns of substance use; (3) risk and protective factors; (4) prevention interventions; and (5) drug treatment programs specific to SMW. Methods/Design This review will include studies with empirical data of illicit or prescription drug misuse among sexual minority women. Peer-reviewed quantitative research conducted in the United States and published in English from 2011-Present will be included. We will search Medline, PsycINFO, and Web of Science databases for relevant articles. Two independent reviewers will screen abstracts and relevant full-text studies for eligibility. Data will be extracted from eligible articles and results will be presented in narrative and tabular form as appropriate. Discussion This work will identify gaps of knowledge in the research pertaining to illicit or prescription drug misuse among sexual minority women since the 2011 US IOM report. As a result of this work, we will propose directions for future research to address identified gaps.
Feasibility and Acceptability of Clinical Pediatric Telerehabilitation Services

Objective: Telerehabilitation has long been recognized as a promising means of providing pediatric services; however, significant barriers such as cost, payor reimbursement, and access prevented widespread use. The advent of the COVID-19 pandemic necessitated rapid adoption of telerehabilitation into clinical practice to provide access to care while maintaining social distancing. The purpose of this study is to present clinical data on the feasibility and acceptability of speech-language pathology, developmental occupational and physical therapies, and sports and orthopedic therapies telerehabilitation delivered in a pediatric hospital setting. Methods: Telerehabilitation services were rapidly implemented in three stages: building the foundation, implementing, and refining this service delivery model. Paper patient satisfaction surveys were administered as part of ongoing quality improvement efforts throughout 2019 and were adapted for online administration in 2020 for telerehabilitation patients. Outpatient visit counts by type (in-person, phone, and video) were extracted from the electronic medical record using data warehousing techniques. Results: Historical patient satisfaction rates from 2019 indicated high patient satisfaction (98.97% positive responses); these results were maintained for telerehabilitation visits (97.73%), indicating that families found telerehabilitation services acceptable. Patient volume returned to 73.5% of pre-pandemic volume after the implementation of telerehabilitation services. Conclusions: Pediatric telerehabilitation is feasible to provide in clinical settings, and the services are acceptable to patient families. Future work is needed to evaluate the impact of telerehabilitation services on patient care and applications for ongoing use of this delivery model.
Establishment and Validation of a Preoperative MRI-based Nomogram for Predicting the Risk of Malignancy in Patients with Breast Tumor

Purpose: To establish a preoperative nomogram incorporating morphological and dynamic contrast-enhanced (DCE) features to individually predict the risk of malignancy in patients with breast tumor. Methods A total of 447 consecutive female patients who were divided into the primary cohort (n=326) and the validation cohort (n=121) were enrolled between March 2015 to January 2018. Univariate and multivariate logistic regression analyses were used to identify the potential independent indicators of malignancy. An MRI-based nomogram integrating morphological features and kinetic curves was developed to achieve individualized risk prediction of malignancy in patients with breast masses. The discrimination, calibration ability and clinical utility of the MRI-based model were assessed using C-index, calibration curve and decision curve analysis. Results: Age, tumor size, margin, internal enhancement characteristics, and kinetic curve were confirmed as the independent predictors of malignancy. The AUC of MRI-based nomogram was 0.940 (95% CI: 0.911-0.970) and 0.894 (95% CI: 0.816-0.974) in the primary cohort and validation cohort, respectively. 447 patients were subdivided into the low-risk group (n=107) and high-risk group (n=340) based on the optimal cut-off value of 21.704. The high-risk patients had a higher likelihood of harboring malignancy. Conclusion: The MRI-based nomogram can be used to achieve an accurate individualized risk prediction of malignancy and reduce unnecessary breast biopsy.
Model-Based Rolling Matching Strategy for Crowdsourced Drivers and Delivery Tasks Considering Uncertain Transportation Duration

The matching of crowdsourced drivers and delivery tasks is an important decision problem for the crowdsourced delivery platform. Although the existence of uncertainty of transportation duration in logistics delivery has been verified, uncertain transportation duration has not been considered in previous studies on the matching of crowdsourced drivers and delivery tasks. This would lead to the limitation that the results of the existing methods cannot meet the time requirements of senders. In this case, the profit and customer satisfaction of the crowdsourced delivery platform would decrease. In this paper, a model-based rolling matching strategy to match crowdsourced drivers and delivery tasks considering uncertain transportation duration is proposed. In addition, it is assumed that the crowdsourced delivery platform also has some dedicated drivers to implement the delivery tasks that cannot be implemented by crowdsourced drivers. First, a simpler problem is described, which is to match crowdsourced drivers and delivery tasks considering uncertain transportation duration in a static data environment. Then, a model is proposed to solve the above problem. Based on the proposed model, this paper further proposes a rolling procedure to solve the problem in a data refreshing environment. Moreover, a heuristic algorithm is presented for combining multiple delivery tasks to solve the one-to-many matching. Finally, a case study and comparison are given to illustrate the validity and the contribution of the proposed matching strategy. The results show that the proposed matching strategy has a distinct advantage of cost savings.
Examining public acceptance choice causes on sales and service tax implementation in Malaysia

In Malaysia, the indirect tax environment is evolving fast, and the risk has never been higher. The public perception of Sales and Service Tax (SST) as a business cost aggravates the increase in essential needs prices. Hence, the heavy burden on Malaysians’ income, which ultimately constitutes a big worry and outcry, makes the study relevant. The study investigates the relationship between selected causes of equity and fairness (tax fairness), certainty (tax burden), accountability to taxpayers, tax knowledge, and public acceptance of SST implementation in Malaysia. Data were collected through a structured survey among the public in Klang Valley. Respondents were chosen randomly from various locations in public and private sector organizations. A total of 177 out of the 228 completed and received questionnaires are found suitable for further analysis. The study adopts the SmartPLS version 3.3. 2 statistical analysis tool to test the four hypotheses formulated. The study results reveal tax fairness, tax burden, and government accountability are significant and positively relate to public acceptance of SST implementation in Malaysia. This further buttressed that tax fairness, tax burden, and government accountability are critical for public acceptance of SST implementation because of their economic implications. In contrast, tax knowledge is not significant and negatively relates to public acceptance of SST implementation. The effect indicates that tax knowledge is not an essential factor as far as public acceptance of SST implementation is concerned in Malaysia.
Explainable Artificial Intelligence: Objectives, Stakeholders, and Future Research Opportunities

ABSTRACT Artificial Intelligence (AI) has diffused into many areas of our private and professional life. In this research note, we describe exemplary risks of black-box AI, the consequent need for explainability, and previous research on Explainable AI (XAI) in information systems research. Moreover, we discuss the origin of the term XAI, generalized XAI objectives, and stakeholder groups, as well as quality criteria of personalized explanations. We conclude with an outlook to future research on XAI.
Effective Collision Strengths for Electron-Impact Excitation of Triphy Ionized Argon

Abstract A comprehensive tabulation of the effective collision strengths for electron-impact excitation of Ar IV is presented in this paper for use by the astrophysics and plasma physics communities. The collision strengths are calculated in the close-coupling approximation using the multichannelR-matrix method and sophisticated configuration-interaction wave functions are utilized to represent the target states. ThirteenLStarget eigenstates of Ar IV, arising from the 3s23p3, 3s3p4, and 3s23p23dconfigurations, are included in the expansion of the total wave function. These 13 ionic states correspond to 30 fine-structure levels, leading to a total of 435 possible independent transitions (including all forbidden, semi-forbidden, and allowed). All 435 fine-structure transitions are considered in this paper, making it the most comprehensive tabulation of effective collision strengths for the Ar IV ion. The effective collision strengths are obtained by averaging the electron collision strengths over a Maxwellian distribution of velocities for electron temperatures ranging from 2,000 to 100,000 K. The present results indicate that the effective collision strengths for many of the forbidden lines are greatly enhanced by the presence of autoionizing resonances converging to the target state thresholds.
An integrated approach to tackling wildlife crime: Impact and lessons learned from the world's largest targeted manta ray fishery

Manta rays (Mobula birostris and M. alfredi) are threatened by overexploitation for international trade. Indonesia was home to the world's largest documented manta fishery—Lamakera, in East Nusa Tenggara. However, in 2014, the Indonesian government declared manta rays a protected species. Here we describe an integrated intervention to reduce manta hunting and mortality in Lamakera, which combined community outreach and livelihood‐focused incentives with targeted enforcement actions; and assess its impact over a five‐year period (2013–2018) using a theory‐based research design. Results show that the intervention is associated with a significant decline in manta hunting effort and mortality (p < .001), which is correlated and temporally‐associated with conservation activities, and did not occur for modeled and natural experiment counterfactuals. Overall, total manta ray mortality declined by 86% by 2018, vs. the 2013 baseline. We conclude that a multifaceted, data‐driven approach reduced illegal hunting and trade of manta rays from 2013 to 2018. However, this impact is not indefinite; new challenges are emerging, which highlight the importance of a long‐term adaptive strategy. We make several recommendations for designing interventions to mitigate trade‐driven over‐exploitation of megafauna: (a) understand diverse drivers of human behavior; (b) adopt data‐driven problem‐oriented planning; (c) continuously document and share learning; (d) establish partnerships with diverse stakeholders to develop resilient institutions for enduring impact.
Antimicrobial and Antioxidant Activities of Palm Kernel Oils Extracted from Varieties Dura and Tenera of Oil Palm (Elaeis guineensis Jacq.) and the Relationship to Their Chemical Composition

The investigation of the antimicrobial and antioxidant activities of palm kernel oils extracted from varieties Dura (oil D) and Tenera (oil T) of oil palm (Elaeis guineensis Jacq.) and the relationship to their chemical composition were carried out in this study. The results obtained show that oil D had the greatest antimicrobial activity. The analysis of gas chromatographic coupled to mass spectrometry (GC-MS) showed that this oil D contained in addition to the lauric acid, the undecylenic acid which both possess antimicrobial activity. This undecylenic acid was not identified in oil T. The 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging assay and the Fe3+ reduction test (FRAP) used to evaluate the antioxidant activity of the palm kernel oils had showed that oil T had the greatest antioxidant activity with a concentration inhibiting 50% of the reaction (IC50%) of 750 mg/L. It was also noted that, this oil T had also the highest contents in polyphenols, α-tocopherol and sterols with predominance of β-sitosterol. Moreover, the β-sitosterol is known to possess a regulatory role of the immune system.The findings of this study provide thus, useful information which may help customers to make the best choice in the consumption of these oils.
Role of yttrium in glass formation of Fe-based bulk metallic glasses

In this study, we discovered that a small addition of Y is very effective in improving glass-forming ability of Fe-based alloys. As-cast bulk amorphous alloys containing 2 at. % Y showed large thermal stability, with glass transition temperatures above 900 K and supercooled liquid regions above 55 K, and high strength, with Vickers hardnesses larger than HV 1200. The beneficial effect of Y on glass formation is twofold: (1) Y adjusted the compositions closer to the eutectic and thus lowered their liquidus temperatures, and (2) Y improved the manufacturability of these alloys by scavenging the oxygen impurity from it via the formation of innocuous yttrium oxides.
Rurality of Residence and Inappropriate Antibiotic Use for Acute Respiratory Infections Among Young Tennessee Children

Abstract Background Antibiotic use is common for acute respiratory infections (ARIs) in children, but much of this use is inappropriate. Few studies have examined whether rurality of residence is associated with inappropriate antibiotic use. We examined whether rates of ARI-related inappropriate antibiotic use among children vary by rurality of residence. Methods We conducted a retrospective cohort study of children aged 2 months–5 years enrolled in Tennessee Medicaid between 2007 and 2017 and diagnosed with ARI in the outpatient setting. Study outcomes included ARI, ARI-related antibiotic use, and ARI-related inappropriate antibiotic use. Multivariable Poisson regression was used to measure associations between rurality of residence, defined by the US Census Bureau, and the rate of study outcomes, while accounting for other factors including demographics and underling comorbidities. Results A total of 805 332 children met selection criteria and contributed 1 840 048 person-years (p-y) of observation. Children residing in completely rural, mostly rural, and mostly urban counties contributed 70 369 (4%) p-y, 479 121 (26%) p-y, and 1 290 558 p-y (70%), respectively. Compared with children in mostly urban counties (238 per 1000 p-y), children in mostly rural (450 per 1000 p-y) and completely rural counties (468 per 1000 p-y) had higher rates of inappropriate antibiotic use (adjusted incidence rate ratio [aIRR] = 1.34, 95% confidence interval [CI] = 1.33–1.35 and aIRR = 1.33, 95% CI = 1.32–1.35, respectively). Conclusions Inappropriate antibiotic use is common among young children with ARI, with higher rates in rural compared with urban counties. These differences should inform targeted outpatient antibiotic stewardship efforts.
Extending the CSM-CERES-Beet Model to Simulate Impact of Observed Leaf Disease Damage on Sugar Beet Yield

A CSM-CERES-Beet pest damage routine was modified to simulate the impact of Cercospora leaf spot disease effects on sugar beet yield. Foliar disease effects on sugar beet growth and yield were incorporated as daily damage to leaf area and photosynthesis, which was linked to daily crop growth and biomass accumulation. An experiment was conducted in Southwest Germany (2016–2018) with different levels of disease infection. Data collected included time-series leaf area index, top weight, storage root weight and Cercospora leaf spot disease progress. The model was calibrated using statistical and visual fit for one treatment and evaluated for eight treatments over three years. Model performance of the calibration treatment for all three variables resulted in R2 values higher than 0.82 and d-statistics higher than 0.94. Evaluation treatments for all three observation groups resulted in high R2 and d-statistics with few exceptions mainly caused by weather extremes. Root mean square error values for calibration and evaluation treatments were satisfactory. Model statistics indicate that the approach can be used as a suitable decision support system to simulate the impact of observed Cercospora leaf spot damage on accumulated above-ground biomass and storage root yield on a plot/site-specific scale.