Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of a six-week weighted-implement throwing program on baseball pitching velocity, kinematics, arm stress, and arm range of motion

Background Weighted-baseball training programs are used at the high school, collegiate, and professional levels of baseball. The purpose of this study was to evaluate the effects of a six-week training period consisting of weighted implements, manual therapy, weightlifting, and other modalities on shoulder external rotation, elbow valgus stress, pitching velocity, and kinematics. Hypothesis A six-week training program that includes weighted implements will increase pitching velocity along with concomitant increases in arm angular velocities, joint kinetics, and shoulder external rotation. Methods Seventeen collegiate and professional baseball pitchers (age range 18–23, average: 19.9 ± 1.3) training at Driveline Baseball were evaluated via a combination of an eight-camera motion-capture system, range-of-motion measurements and radar- and pitch-tracking equipment, both before and after a six-week training period. Each participant received individualized training programs, with significant overlap in training methods for all athletes. Twenty-eight biomechanical parameters were computed for each bullpen trial, four arm range-of-motion measurements were taken, and pitching velocities were recorded before and after the training period. Pre- and post-training period data were compared via post-hoc paired t tests. Results There was no change in pitching velocity across the seventeen subjects. Four biomechanical parameters for the holistic group were significantly changed after the training period: internal rotational velocity was higher (from 4,527 ± 470 to 4,759 ± 542 degrees/second), shoulder abduction was lower at ball release (96 ± 7.6 to 93 ± 5.4°), the shoulder was less externally rotated at ball release (95 ± 15 to 86 ± 18°) and shoulder adduction torque was higher (from 103 ± 39 to 138 ± 53 N-m). Among the arm range of motion measurements, four were significantly different after the training period: the shoulder internal rotation range of motion and total range of motion for both the dominant and non-dominant arm. When the group was divided into those who gained pitching velocity and those who did not, neither group showed a significant increase in shoulder external rotation, or elbow valgus stress. Conclusions Following a six-week weighted implement program, pitchers did not show a significant change in velocity, joint kinetics, or shoulder external rotation range of motion. When comparing pitchers who gained velocity versus pitchers who did not, no statistically significant changes were seen in joint kinetics and shoulder range of motion.
Integrated Disease Surveillance and Response (IDSR) in Malawi: Implementation gaps and challenges for timely alert

Objective The emerging and recent 2014 Ebola Virus Disease (EVD) outbreaks rang the bell to call upon efforts from globe to assist resource-constrained countries to strengthen public health surveillance system for early response. Malawi adopted the Integrated Disease Surveillance and Response (IDSR) strategy to develop its national surveillance system since 2002 and revised its guideline to fulfill the International Health Regulation (IHR) requirements in 2014. This study aimed to understand the state of IDSR implementation and differences between guideline and practice for future disease surveillance system strengthening. Methods This was a mixed-method observational study. Quantitative data were to analyze completeness and timeliness of surveillance system performance from national District Health Information System 2 (DHIS2). Qualitative data were collected through interviews with 29 frontline health service providers from the selected district and key informants of the IDSR system implementation and administration at district and national levels. Findings The current IDSR system showed relatively good completeness (76.4%) but poor timeliness (41.5%) of total expected monthly reports nationwide and zero weekly reports. The challenges of IDSR implementation revealed through qualitative data included lack of supervision, inadequate resources for training and difficulty to implement weekly report due to overwhelming paperwork at frontline health services. Conclusions The differences between IDSR technical guideline and actual practice were huge. The developing information technology infrastructure in Malawi and emerging mobile health (mHealth) technology can be opportunities for the country to overcome these challenges and improve surveillance system to have better timeliness for the outbreaks and unusual events detection.
New Model for Predicting Malignancy in Patients With Intraductal Papillary Mucinous Neoplasm.

OBJECTIVE To create a simple, objective model to predict the presence of malignancy in patients with intraductal papillary mucinous neoplasm (IPMN), which can be easily applied in daily practice and, importantly, adopted for any lesion types. BACKGROUND No predictive model for malignant IPMN has been widely applied in clinical practice. METHODS The clinical details of 466 patients with IPMN who underwent pancreatic resection at 3 hospitals were retrospectively analyzed for model development. Then, the model was validated in 664 surgically resected patients at 8 hospitals in Japan.In the preoperative examination, endoscopic ultrasonography (EUS) was considered to be essential to observe mural nodules in both the model development and external validation sets. Malignant IPMNs were defined as those with high-grade dysplasia and associated invasive carcinoma. RESULTS Of the 466 patients, 258 (55%) had malignant IPMNs (158 high-grade dysplasia, 100 invasive carcinoma), and 208 (45%) had benign IPMNs. Logistic regression analysis resulted in 3 variables (mural nodule size, main pancreatic duct diameter, and cyst size) being selected to construct the model. The area under the receiver operating characteristic curve (AUC) for the model was 0.763. In external validation sets, the pathological diagnosis was malignant and benign IPMN in 351 (53%) and 313 (47%) cases, respectively. For the external validation, the malignancy prediction ability of the model corresponded to an AUC of 0.725. CONCLUSION This predictive model provides important information for physicians and patients in assessing an individual's risk for malignancy and may help to identify patients who need surgery.
Inner ear and retrocochlear pathology on magnetic resonance imaging for sudden and progressive asymmetrical sensorineural hearing loss

In sudden and asymmetrical progressive sensorineural hearing loss (SNHL), magnetic resonance imaging (MRI) is required to evaluate retrocochlear pathology and, with recent advances in MRI techniques, inner ear pathology. Given the limited literature regarding inner ear pathology associated with SNHL, we aimed to assess the incidence of retrocochlear and inner ear pathology, and congenital malformation on MRI in sudden SNHL (SSNHL) and progressive SNHL.
The Site-Specific Amino Acid Preferences of Homologous Proteins Depend on Sequence Divergence

Abstract The propensity of protein sites to be occupied by any of the 20 amino acids is known as site-specific amino acid preferences (SSAP). Under the assumption that SSAP are conserved among homologs, they can be used to parameterize evolutionary models for the reconstruction of accurate phylogenetic trees. However, simulations and experimental studies have not been able to fully assess the relative conservation of SSAP as a function of sequence divergence between protein homologs. Here, we implement a computational procedure to predict the SSAP of proteins based on the effect of changes in thermodynamic stability upon mutation. An advantage of this computational approach is that it allows us to interrogate a large and unbiased sample of homologous proteins, over the entire spectrum of sequence divergence, and under selection for the same molecular trait. We show that computational predictions have reproducibilities that resemble those obtained in experimental replicates, and can largely recapitulate the SSAP observed in a large-scale mutagenesis experiment. Our results support recent experimental reports on the conservation of SSAP of related homologs, with a slowly increasing fraction of up to 15% of different sites at sequence distances lower than 40%. However, even under the sole contribution of thermodynamic stability, our conservative approach identifies up to 30% of significant different sites between divergent homologs. We show that this relation holds for homologs of diverse sizes and structural classes. Analyses of residue contact networks suggest that an important determinant of these differences is the increasing accumulation of structural deviations that results from sequence divergence.
Cost of a human papillomavirus vaccination project, Zimbabwe

Abstract Objective To determine the cost of Zimbabwe’s human papillomavirus (HPV) vaccination demonstration project. Methods The government of Zimbabwe conducted the project from 2014–2015, delivering two doses of HPV vaccine to 10-year-old girls in two districts. School delivery was the primary vaccination strategy, with health facilities and outreach as secondary strategies. A retrospective cost analysis was conducted from the provider perspective. Financial costs (government expenditure) and economic costs (financial plus the value of existing or donated resources including vaccines) were calculated by activity, per dose and per fully immunized girl. Results The project delivered 11 599 vaccine doses, resulting in 5724 fully immunized girls (5540 at schools, 168 at health facilities and 16 at outreach points). The financial cost for service delivery per fully immunized girl was United States dollars (US$) 5.34 in schools, US$ 34.90 at health facilities and US$ 288.63 at outreach; the economic costs were US$ 17.39, US$ 41.25 and US$ 635.84, respectively. The mean financial cost per dose was US$ 19.76 and per fully immunized girl was US$ 40.03 (economic costs were US$ 45.00 and US$ 91.19, respectively). The largest number of doses delivered (5788) occurred during the second vaccination round (the second group’s first dose concurrently delivered with the first group’s second dose), resulting in the lowest financial and economic service delivery costs per dose: US$ 1.97 and US$ 6.79, respectively. Conclusion The mean service delivery cost was lower in schools (primary strategy) and when more girls were vaccinated in each round, demonstrating scale efficiency.
Genetic determinants and an epistasis of LILRA3 and HLA-B*52 in Takayasu arteritis

Significance Takayasu arteritis (TAK) is a systemic vasculitis with unknown etiology. We identified four unreported susceptibility genes to TAK through genome-wide association studies. We successfully fine-mapped HLA associations and showed that HLA-G is associated with TAK in addition to HLA-B*52. The association between PTK2B and TAK could be explained by expression regulation of PTK2B. We showed an epistasis effect of LILR3A, one of the four genes, with HLA-B52 on TAK susceptibility. Enhancer enrichment analysis of significant non-HLA markers showed natural killer cells as important cells in TAK. Not only the associations in the HLA region but also nonsignificant associations from GWAS suggest the involvement of NK cells. These findings would lead to a better understanding of TAK. Takayasu arteritis (TAK) is a systemic vasculitis with severe complications that affects the aorta and its large branches. HLA-B*52 is an established susceptibility locus to TAK. To date, there are still only a limited number of reports concerning non-HLA susceptibility loci to TAK. We conducted a genome-wide association study (GWAS) and a follow-up study in a total of 633 TAK cases and 5,928 controls. A total of 510,879 SNPs were genotyped, and 5,875,450 SNPs were imputed together with HLA-B*52. Functional annotation of significant loci, enhancer enrichment, and pathway analyses were conducted. We identified four unreported significant loci, namely rs2322599, rs103294, rs17133698, and rs1713450, in PTK2B, LILRA3/LILRB2, DUSP22, and KLHL33, respectively. Two additional significant loci unreported in non-European GWAS were identified, namely HSPA6/FCGR3A and chr21q.22. We found that a single variant associated with the expression of MICB, a ligand for natural killer (NK) cell receptor, could explain the entire association with the HLA-B region. Rs2322599 is strongly associated with the expression of PTK2B. Rs103294 risk allele in LILRA3/LILRB2 is known to be a tagging SNP for the deletion of LILRA3, a soluble receptor of HLA class I molecules. We found a significant epistasis effect between HLA-B*52 and rs103294 (P = 1.2 × 10−3). Enhancer enrichment analysis and pathway analysis suggested the involvement of NK cells (P = 8.8 × 10−5, enhancer enrichment). In conclusion, four unreported TAK susceptibility loci and an epistasis effect between LILRA3 and HLA-B*52 were identified. HLA and non-HLA regions suggested a critical role for NK cells in TAK.
The validity and reliability of the Dietary Index for a Child's Eating in 2-8-year old children living in New Zealand.

This study aimed to examine the validity and reliability of the Dietary Index for a Child's Eating (DICE) in children living in New Zealand (NZ). Caregivers of healthy children aged 2-8 years completed a 4-day estimated food record (4DFR) for their child and completed the DICE online on two separate occasions, 8 weeks apart. Relative validity was assessed by comparing the DICE and 4DFR total score and component subscores using the Wilcoxon test, Spearman rank correlation coefficients, cross-classification, and weighted kappa (ĸ) statistic. For evaluating construct validity, the DICE total score was compared with energy and nutrient intake from the 4DFR using linear contrast analysis. Intraclass correlation coefficients (Cronbach's α) and Bland-Altman plots were used to assess the reliability of DICE. From a possible score of 100, the mean ± standard deviation of DICE was 78.2 ± 11.5 and from the 4DFR, was 73.8 ± 10.8, with a positive correlation (r = 0.72; p < 0.001) and moderate agreement (ĸ = 0.49). Cross-classification showed 61.9% were correctly categorised into the same tertile group from DICE and the 4DFR. Participants in the highest tertile of DICE had higher intakes of fibre, vitamin C, vitamin A, vitamin D, folate, and calcium. Good agreement (α = 0.87) was found for reliability. DICE is a valid and reliable tool for the assessment of children's adherence to a healthy diet, as recommended by the NZ Ministry of Health Food and Nutrition guidelines.
Reframing the conversation about contralateral prophylactic mastectomy: Preparing women for postsurgical realities

Women with unilateral, early‐stage breast cancer and low genetic risk are increasingly opting for contralateral prophylactic mastectomy (CPM), a concerning trend because CPM offers few clinical benefits while increasing risks of surgical complications. Few qualitative studies have analyzed factors motivating this irreversible decision. Using qualitative methods, this study sought to understand women's decision making and the impact of CPM on self‐confidence, sense of femininity, sexual intimacy, and peace of mind.
Danger of false negative (exclusion) or false positive (diagnosis) for ‘congenital thrombophilia’ in the age of anticoagulants

Abstract Background Most guidelines and experts recommend against performance of thrombophilia testing in general, and specifically against testing patients on pharmacological anticoagulants, due to substantially increased risk of false positive identification. For example, vitamin K antagonist (VKA) therapy affects protein C (PC) and protein S (PS), as well as some clotting assays (e.g. as used to investigate activated PC resistance [APCR]). Although heparin may also affect clotting assays, most commercial methods contain neutralisers to make them ‘insensitive’ to therapeutic levels. Direct oral anticoagulants (DOACs) also affect a wide variety of thrombophilia assays, although most reported data has employed artificial in vitro spiked samples. Methods In the current report, data from our facility for the past 2.5 years has been assessed for all ‘congenital thrombophilia’ related tests, as evaluated against patient anticoagulant status. We processed 10,571 ‘thrombophilia’ related test requests, including antithrombin (AT; n=3470), PC (n=3569), PS (n=3585), APCR (n=2359), factor V Leiden (FVL; n=2659), and prothrombin gene mutation (PGM; n=2103). Results As expected, VKA therapy affected PC and PS, and despite manufacturer claims, also APCR. Most assays, as suggested by manufacturers, were largely resistant to heparin therapy. DOACs’ use was associated with falsely low APCR ratios (i.e. FVL-like effect) and somewhat unexpectedly, anti-Xa agents apixaban and rivaroxaban were also associated with lower AT and higher PS values. Conclusions It is concluded that ex-vivo data appears to confirm the potential for both false positive and false negative ‘thrombophilia’ events in patients on anticoagulant (including DOAC) treatment.
A big data approach with artificial neural network and molecular similarity for chemical data mining and endocrine disruption prediction

CONTEXT: Chemical toxicity prediction at early stage drug discovery phase has been researched for years, and newest methods are always investigated. Research data comprising chemical physicochemical properties, toxicity, assay, and activity details create massive data which are becoming difficult to manage. Identifying the desired featured chemical with the desired biological activity from millions of chemicals is a challenging task. AIMS: In this study, we investigate and explore big data technologies and machine learning approaches to do an efficient chemical data mining for endocrine receptor disruption prediction and virtual compound screening. The power of artificial neural network (ANN) in predicting chemicals' activity toward androgen receptor (AR) and estrogen receptor (ER) and thereby classifying into human endocrine disruptor or nondisruptor is investigated. SUBJECTS AND METHODS: Molecules are collected along with their Inhibitory Concentration (IC50) values toward AR and ER. Training and test datasets are created with active and inactive classes of molecules. Molecular fingerprints of Electro Topological State (E-State) are generated for describing every compound. ANN machine learning model is created using Apache Spark and implemented in Hadoop big data environment. Test chemical's structural similarity toward active class of training compounds is estimated and combined with ANN model for improving prediction accuracy. RESULTS: AR and ER predictive models applied on corresponding test datasets gave 86.31% and 89.57% accuracies, respectively, in correctly classifying molecules as disruptor or nondisruptor. Molecular fragments and functional groups are ranked based on their importance in forming ANN model and influence toward the AR and ER disruption behavior. Training molecules that are specific to the test molecules' endocrine disruption prediction are retrieved based on the structural similarity values. CONCLUSIONS: The current study demonstrates a new approach of chemical endocrine receptor disruption prediction combining ANN machine learning method and molecular similarity in a big data environment. This method of predictive modeling can be further tested with more receptors and hormones and predictive power can be examined.
Factors influencing health practitioners’ cognitive processing and decision-making style

ABSTRACT Successful interventions, healthcare planning, and patient-centered care require explanation, justification, and collaboration through interprofessional clinical decision-making (CDM). Understanding health practitioners’ decision-making styles and influencing factors can enhance CDM capabilities. Health professionals and students (N = 229) completed an online survey on their decision-making styles, interprofessional education, interprofessional practice, discipline education, clinical experience, processing styles, personality, interpersonal motivational factors, and age. To assess the influence of task structure, participants answered CDM questions on a high- and a low-structured case study. Age demonstrated an effect on the level of clinical experience, while clinical experience also mediated the effect of age on rational processing styles. While personality results were mixed, consistent with previous findings, conscientiousness predicted rational processing style. Effects of interpersonal motivation on personality were also mixed, insofar as results indicated an association between conscientiousness and both experiential and rational processing styles. Interpersonal motivation also predicted rational processing styles. The complexity of CDM and factors influencing healthcare practitioners’ processing and decision-making styles was highlighted. To optimize CDM processes by addressing errors and biases, CDM, and practice complexity, healthcare practitioner education should include theory-driven CDM orientation frameworks.
TFforge utilizes large-scale binding site divergence to identify transcriptional regulators involved in phenotypic differences

Abstract Changes in gene regulation are important for phenotypic and in particular morphological evolution. However, it remains challenging to identify the transcription factors (TFs) that contribute to differences in gene regulation and thus to phenotypic differences between species. Here, we present TFforge (Transcription Factor forward genomics), a computational method to identify TFs that are involved in the loss of phenotypic traits. TFforge screens an input set of regulatory genomic regions to detect TFs that exhibit a significant binding site divergence signature in species that lost a particular phenotypic trait. Using simulated data of modular and pleiotropic regulatory elements, we show that TFforge can identify the correct TFs for many different evolutionary scenarios. We applied TFforge to available eye regulatory elements to screen for TFs that exhibit a significant binding site decay signature in subterranean mammals. This screen identified interacting and co-binding eye-related TFs, and thus provides new insights into which TFs likely contribute to eye degeneration in these species. TFforge has broad applicability to identify the TFs that contribute to phenotypic changes between species, and thus can help to unravel the gene-regulatory differences that underlie phenotypic evolution.
Migration to the Gulf : policies in sending and receiving countries

This chapter is an assessment of the limitations of the electronic Wage Protection System (WPS) introduced in four of the six Gulf Cooperation Council (GCC) states. The widespread practice of withholding wages has led to the GCC states introducing a wage protection system where employers are required to make the payments to employees into their bank accounts to ensure an official record of payments that can be monitored. Relevant government authorities, with the cooperation of WPS banks, can monitor and take action against non-compliant employers in relation to wage payments. An overview of each country’s wage protection system includes data, where available, on WPS coverage by employing firms, workforce coverage, and penalties for transgressions. In some cases, there is information on the number of violations and the penalties meted out. It is concluded that while WPS programmes are necessary and have provided for greater stability II * I am grateful to Nasra Shah, Sabah Khadri, and Jill Wells for their helpful comments on a previous draft of the chapter and to participants of Workshop 11, “Migration Policies in the Gulf: Continuity and Change,” Gulf Research Meeting, Gulf Research Center Cambridge, University of Cambridge, August 2-3, 2017. This chapter was first published as: Ray Jureidini, “Wage Protection Systems and Programmes in the GCC,” Research Report No. 01/2017, GLMM. ** Ray Jureidini is Professor of Migration Ethics and Human Rights at the Center for Islamic Legislation and Ethics at the Hamad Bin Khalifa University, Doha, Qatar.