Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of professional and patient-oriented strategies in reducing vitamin D and B12 test ordering in primary care: a cluster randomised intervention study

Background Vitamin tests are increasingly ordered by GPs, but a clinical and evidence-based indication is often lacking. Harnessing technology (that is, decision support tools and redesigning request forms) have been shown to reduce vitamin requests. Aim To investigate whether the number of vitamin tests may be reduced by providing a multi-level intervention programme based on training, monitoring, and feedback. Design & setting This was a cluster randomised intervention study performed in 26 primary care health centres (>195 000 patients) in the Netherlands. The relative reduction in ordered vitamin D and B12 tests was determined after introduction of two de-implementation strategies (1 May 2017 to 30 April 2018). Method Health centres randomised to de-implementation strategy 1 received education and benchmarking of their own vitamin test ordering behaviour every 3 months. Health centres in de-implementation strategy 2 received the same education and benchmarking, but supplemented with educational material for patients. Results The number of vitamin D tests decreased by 23% compared to the 1-year pre-intervention period (1 May 2016 to 30 April 2017). For vitamin B12 tests an overall reduction of 20% was found. Provision of patient educational information showed additional value over training and benchmarking of GPs alone for vitamin D test ordering (10% extra reduction, odds ratio [OR] 0.88, 95% confidence interval [CI] = 0.83 to 0.92), but not for vitamin B12 ordering (4% extra reduction, OR 0.96, 95% CI = 0.91 to 1.02). Nationwide, this would result in over €3 200 000 in savings on healthcare expenditure a year. Conclusion A structured intervention programme, including training and benchmarking of GPs regarding their diagnostic test ordering, resulted in a significant reduction in ordered vitamin tests. Additional information provision to patients resulted in a small but still relevant additional reduction. If implemented on a national level, a substantial cost saving could be achieved.
Effects of Farmers-Herders Conflict on Food Security in Benue State (2013 – 2018)

The sustainability of a society is basically inclined to their access to the basic need of life – food, and in such occasion where there is unavailability of food and a corresponding unaccessibility of food by the members of society, then the society is at the mercy of food insecurity and gruesomely death on a long run. This paper examines the case of food insecurity ravaging Benue state of Nigeria in the face of the rising conflict amidst food producers (farmers and herders), what the cause of this conflict are, how this conflict has affected food security and the solutions to end the conflict and boost food security within the state. The paper discovered climate change and intolerance as the causes of the conflict, loss of agro-proceed, loss of agromanpower, cessation of farmlands, displacement of farmers and herders alike, change of farming occupation, fear of going to the farm, rise in cost of food items and deprivation of access to markets as the effects of the conflict on food security in the region. GJHSS-H Classification: FOR Code: 090899 EffectsofFarmersHerdersConflictonFoodSecurityinBenueState20132018 Global Journal of HUMAN-SOCIAL SCIENCE: H
Combining classifiers based on GMM approach on ensemble data

Combining multiple classifiers to achieve better performances than any single classifier is one of the most important research areas in machine learning. In this paper, we focus on combining different classifiers to form an effective ensemble system. By introducing a novel framework operated on outputs of different classifiers, our aim is building a powerful model which is competitive with other well-known combining algorithms such as Decision Template, Multiple Response Linear Regression (MLR), SCANN and fixed combining rules. It is difference from the traditional approaches, here we use Gaussian Mixture Model (GMM) to model distribution of Level1 data and predict label of an interesting observation based on maximize of posterior probability through Bayes model. We also expand GMM-based approach in which before modeling distribution, Principle Component Analysis (PCA) method is applied to output of base classifiers to reduce its dimension; as a result, improve performance and availability of model based GMM. Experiments were evaluated on 21 UCI Machine Learning Repository demonstrate benefits of our framework compared with benchmarks.
Fair value accounting: Perspective on
stewardship function

This paper reviews the existing and emerging perspectives on fair value accounting (FVA) in the context of the stewardship function of financial reporting. This study draws on diverse research threads and theoretical notions to advance a comprehensive assessment of existing FVA research in the context of the trade-off between decision-usefulness and the stewardship objective. By conducting a narrative literature review, the authors identify two distinct domains of literature: FVA- a result of a conceptual shift in financial reporting; and FVA- an enhancement of decision-usefulness in general-purpose financial reporting. This study posits that FVA can be considered as an evolutionary, rather than revolutionary, development in financial reporting measurement which emerged from financialisation and globalisation of economies. It is further suggested that the ability of FVA to provide stewardship-relevant information may be reduced due to the emphasis it places on the provision of decision-useful information for investment purposes. Therefore, the authors call for a greater engagement between policy-setters and researchers when choosing conceptual underpinnings for financial measurement objectives. Key words: Fair value accounting, stewardship function, decision usefulness, IFRS 13.
The Intergenerational Transmission of Lifetime Wellbeing∗

∗This research was supported in part by an anonymous funder and the Rockwool Foundation. The views expressed in this paper are solely those of the authors and do not necessarily represent those of the funders. We thank Kristian Karlson and Miriam Gensowski for commentary. We are grateful to Alex Ben Hassine for excellent research assistance.
Connectivity graphs: a method for proving deadlock freedom based on separation logic

We introduce the notion of a connectivity graph—an abstract representation of the topology of concurrently interacting entities, which allows us to encapsulate generic principles of reasoning about deadlock freedom. Connectivity graphs are parametric in their vertices (representing entities like threads and channels) and their edges (representing references between entities) with labels (representing interaction protocols). We prove deadlock and memory leak freedom in the style of progress and preservation and use separation logic as a meta theoretic tool to treat connectivity graph edges and labels substructurally. To prove preservation locally, we distill generic separation logic rules for local graph transformations that preserve acyclicity of the connectivity graph. To prove global progress locally, we introduce a waiting induction principle for acyclic connectivity graphs. We mechanize our results in Coq, and instantiate our method with a higher-order binary session-typed language to obtain the first mechanized proof of deadlock and leak freedom.
DMSO_A_337986 4557..4567

*These authors contributed equally to this work Purpose: Diabetic kidney disease (DKD) is an inflammatory disease. This study aimed to investigate the association of fibrinogen to albumin ratio (FAR) with DKD. Patients and Methods: A total of 1022 type 2 diabetes mellitus (T2DM) patients with DKD and 1203 T2DM patients without DKD were enrolled in this study. Laboratory values including blood cell count, hemoglobin A1c, biochemical parameters, and fibrinogen and albumin creatinine ratio were recorded. Patients were classified according to tertile of admission FAR. Clinical parameters were compared between groups. Logistic regression, linear regression, ROC analysis and spline regression were carried out. Results: FAR in the DKD group was significantly higher than that in the non-DKD group. FAR had the highest odds ratio as an independent risk factor for the development of DKD and the highest area under ROC curve for predicting DKD compared with albumin (ALB) or fibrinogen (FIB) alone. Simple linear regression analyses revealed a significant and linear correlation of FAR with neutrophil and neutrophil-to-lymphocyte ratio. FAR was an independent risk factor for development of DKD. Spline regression showed that there was a significant linear association between DKD incidence and continuous FAR value when it exceeded 67.3mg/g. Conclusion: FAR is a stronger independent predictor of DKD than FIB and ALB. FAR is an independent risk factor for DKD development when it exceeded 67.3mg/g. FAR might be one of novel diagnostic biomarkers to predict and prevent DKD progression. However, a prospective study to validate the prognostic model is still needed.
Prognostics and Clinical Outcomes in Patients Diagnosed With Acute Myeloid Leukemia (AML) in a Teaching Hospital

Background: Acute myeloid leukemia (AML) is a heterogeneous disease. Prognosis and survival depend on several factors that determine tumor behavior and response to therapy. AML has a poor prognosis that depends on several factors: patient's age, gender, body mass index (BMI), baseline white blood cells count, and bone marrow blast (BMB) cell count at the time of diagnosis. Therefore, this study aimed to determine the prognostic role of these factors and their impact on outcomes, and how these prognostic factors may affect AML patients before and after induction chemotherapy. Methods: The study design is an observational, retrospective record review. We included records of patients diagnosed with primary and secondary AML who received chemotherapy between 2013 and 2019 at King Abdulaziz University in Jeddah, Saudi Arabia. Data were extracted from medical records, entered into an Excel sheet (Microsoft Corp., Redmond, WA), and analyzed using SPSS Statistics, version 25 (IBM Corp., Armonk, NY). Results: Forty-two AML patients who were started on chemotherapy were analyzed. The mean age at diagnosis was 35 ± 22.2 years; 52.4% were male. The ability to achieve the first remission varied according to age group; the 21-45 age group had the higher ability and survival rate of 75.0%. On the other hand, the mortality incidence was higher (at 70.0%) in both the 11-20 and the 46-70 age groups. A strong negative correlation was observed between age and survival duration after treatment (SDAT) (r = - 0.618, p = 0.004). The death incidence was increased in the BMI ranges that were under and above the normal weight range. SDAT differed significantly between the three groups in favor of the normal-weight patients (p = 0.019). We found that patients with BMB < 5 had the most deaths. There was a significant negative association between BMB and days to achieve the first remission after treatment (p = 0.033). Conclusion: Age, BMI, and BMB are considered effective prognostic factors for AML patients.
On the Vortex Theory of Screw Propellers

The vortex-theory of screw propellers develops along similar lines to aerofoil theory. There is circulation of flow round each blade; this circulation vanishes at the tip and the root. The blade may be replaced by a bound vortex system, which, for the sake of simplicity, may be taken, as a first approximation, to be a bound vortex line. The strength of the vortex at any point is equal to Γ, the circulation round the corresponding blade section. From every point of this bound vortex spring free, trailing vortices, whose strength per unit length is —∂Γ/∂ r , where r is distance from the axis of the screw. When the interference flow of this vortex system is small compared with the velocity of the blades, the trailing vortices are approximately helices, and together build a helical or screw surface. Part of the work supplied by the motor is lost in producing the trailing vortex system. When the distribution of Γ along the blade is such that, for a given thrust, the energy so lost per unit time is a minimum, then the flow far behind the screw is the same as if the screw surface formed by the trailing vortices was rigid, and moved backwards in the direction of its axis with a constant velocity, the flow being that of classical hydro dynamics in an inviscid fluid, continuous, irrotational, and without circulation. The circulation round any blade section is then equal to the discontinuity in the velocity potential at the corresponding point of the screw surface. Further, for symmetrical screws, the interference flow at the blade is half that at the corresponding point of the screw surface far behind the propeller. An approximate solution for the irrotational motion of a screw surface in an inviscid fluid was given by Prandtl. The accuracy of the approximation increases with the number of blades and with the ratio of the tip speed to the velocity of advance, but for given values of these numbers we have no means of estimating the error, since the exact solution of the problem has not yet been found. It is the main object of this work to find the exact solution.
Uncovering key targets of success for immunotherapy in pancreatic cancer

ABSTRACT Introduction Despite available treatment options, pancreatic ductal adenocarcinoma (PDAC) is frequently lethal. Recent immunotherapy strategies have failed to yield any notable impact. Therefore, research is focussed on unearthing new drug targets and therapeutic strategies to tackle this malignancy and attain more positive outcomes for patients. Areas covered In this perspective article, we evaluate the main resistance mechanisms to immune checkpoint inhibitors (ICIs) and the approaches to circumvent them. We also offer an assessment of concluded and ongoing trials of PDAC immunotherapy. Literature research was performed on Pubmed accessible through keywords such as: ‘pancreatic ductal adenocarcinoma,’ ‘immunotherapy,’ ‘immunotherapy resistance,’ ‘immune escape,’ ‘biomarkers. ’ Papers published between 2000 and 2021 were selected. Expert opinion The tumor microenvironment is a critical variable of treatment resistance because of its role as a physical barrier and inhibitory immune signaling. Promising therapeutic strategies appear to be a combination of immunotherapeutics with other targeted treatments. Going forward, predictive biomarkers are required to improve patient selection. Biomarker-driven trials could enhance approaches for assessing the role of immunotherapy in PDAC.
Assessment of Cardiovascular Diseases Knowledge and Risk Factors Among Adult Population in the South Region of Saudi Arabia

Cardiovascular diseases are the main cause of mortality and disability worldwide. This study aimed to assess knowledge of cardiovascular disease and risk factors among the adult population in the south region of Saudi Arabia. A web-based cross-sectional survey of 1,049 participants was completed during August 2021. Data were collected by using 25-item heart disease fact questionnaire. The study population included 526 men (50.1%) and 523 women (49.9%) with a mean age of 36 ± 12 years. The average total knowledge score was 65.7 ± 20.80. The items with the highest knowledge were smoking, overweight, aging, high cholesterol, hypertension, diabetes, and family history. Findings revealed that knowledge regarding cardiovascular diseases is inadequate with a high prevalence of risk factors among the Saudi Arabian population. Healthcare professionals and organizations have a crucial role in raising public awareness regarding health promotion, regular screening, and lifestyles modifications. Interventional studies are needed to investigate the actual magnitude of CVDs and counteract them.
Children’s Enjoyment, Perceived Competency, and Vigorous Physical Activity During High-Intensity Interval Training in Physical Education

ABSTRACT Purpose: Little is known about children’s experience with high-intensity interval training (HIIT) during elementary school. Perceptions of enjoyment, perceived competence, and motivation are likely to drive long-term adherence and are, therefore, critical to understanding how HIIT might be implemented in this setting. The purpose of this study was to describe children’s vigorous physical activity (VPA), enjoyment, and perceived competency of HIIT activities within a Self-Determination Theory framework (autonomy) in elementary school physical education (PE) classes. Methods: Participants were 402 children from a single, diverse elementary school (49.4% female, 59.6% Non-Hispanic white). Student enjoyment and perceived competency were collected following teacher- (non-autonomous) and student-led (autonomous) conditions. A sub-set of 201 children wore accelerometers to measure percent of time in VPA during HIIT conditions. This mixed factorial design was assessed through a series of repeated measures ANOVAs. Results: While children reported generally positive enjoyment and perceived competence in both conditions (rating over 4.0 on a 5-point scale), children significantly enjoyed (d = 0.44) and felt more competent (d = 0.11) during the autonomous HIIT condition compared to the nonautonomous HIIT condition. In contrast, the percent of time in VPA (d = 0.94) was significantly lower in the autonomous condition. Conclusions: These data illustrate a challenging trade-off with the design of HIIT trials. Increasing autonomy through the inclusion of student choice increased enjoyment and perceived competence of HIIT, which are likely to improve adherence, but lowered VPA, which is likely to reduce cardiometabolic impact.Abbreviations: U.S.: United States; PA: Physical activity; MVPA; Moderate-to-vigorous physical activity; PE: Physical education; CDC: Centers for Disease Control and Prevention; Randomized control trial, RCT; SDT: Self-Determination Theory; HIIT: High-intensity interval training; RCT: Randomized control trial; VPA: Vigorous physical activity; IRB; Institutional Review Board; HFZ: Healthy Fitness Zone; PACES: Physical Activity Enjoyment Scale; M: Mean; SD: Standard deviation
Population genetic data of 22 autosomal STR loci for the Scheduled Caste population of Rajasthan India

Abstract Aim To study the genetic structure of the Scheduled Caste population of Rajasthan and its relationship with Indian and global populations using expanded 20 CODIS STR loci (autosomal) markers. Subjects and methods Blood samples of 226 healthy, unrelated adult individuals of the Scheduled Caste population of the Indian state of Rajasthan were taken from the routine casework of authors after obtaining written informed consent. Autosomal STR markers included in PowerPlex® Fusion 5 C and GlobalFiler™ PCR amplification kits were used to explore the genetic diversity of the studied population. Amplicons were separated using Genetic Analyser 3500XL as per the recommended protocol. Results Observed heterozygosity for the studied population ranged from 0.681(CSF1PO) to 0.881 (D1S1656). Combined Discrimination Power and Combined Exclusion Power were observed as 1 and 0.9999999852, respectively. The highest Discrimination Power was observed for the locus D1S1656. In the population comparison test, Nei’s Da distance-based Neighbor-Joining (NJ) dendrogram revealed two significant clusters of geographically close Indian and East Asian populations along with a few small groups of outlier populations. Conclusion The matching probability for 20 STR markers was observed as 7.02 × 10−24 and paternity index as 5.55 × 107. These values play a key role in forensic applications.The studied population showed a higher genetic affinity with geographically closer populations than the distant ones. This caste-based population data is expected to play an important role in forensic DNA applications and genetic studies.
Effects of human resource management practices on logistics and supply chain competencies – evidence from China logistics service market

The Chinese logistics service market is a vibrant and highly contested arena. The industry, however, has been characterised as operationally inefficient in comparison with those of the developed economies. Shortage of logistics human resources and lack of logistics expertise have been identified as two of the key contributory factors. Based on responses from 76 Chinese logistics service providers to a survey conducted in 2010, this study explores whether, and how, four sets of human resource management (HRM) practices contribute to nurturing three logistics and supply chain (L&SC) competencies in the Chinese logistics service market. Results from a hierarchical multiple regression analysis show that not all HRM practices were equally effective in building L&SC competencies. While training and development, and recruitment and selection were significant in contributing to nurturing the three L&SC competencies, both performance management and reward management did not. These findings suggest that conventional HRM practices designed to reward individual performance may not be suited to nurturing team-based L&SC competencies in the Chinese context. The implications of these findings were discussed and directions for further studies offered.
Expanded renal lymphatics improve recovery following kidney injury

Acute kidney injury (AKI) is a major cause of patient mortality and a major risk multiplier for the progression to chronic kidney disease (CKD). The mechanism of the AKI to CKD transition is complex but is likely mediated by the extent and length of the inflammatory response following the initial injury. Lymphatic vessels help to maintain tissue homeostasis through fluid, macromolecule, and immune modulation. Increased lymphatic growth, or lymphangiogenesis, often occurs during inflammation and plays a role in acute and chronic disease processes. What roles renal lymphatics and lymphangiogenesis play in AKI recovery and CKD progression remains largely unknown. To determine if the increased lymphatic density is protective in the response to kidney injury, we utilized a transgenic mouse model with inducible, kidney‐specific overexpression of the lymphangiogenic protein vascular endothelial growth factor‐D to expand renal lymphatics. “KidVD” mouse kidneys were injured using inducible podocyte apoptosis and proteinuria (POD‐ATTAC) or bilateral ischemia reperfusion. In the acute injury phase of both models, KidVD mice demonstrated a similar loss of function measured by serum creatinine and glomerular filtration rate compared to their littermates. While the initial inflammatory response was similar, KidVD mice demonstrated a shift toward more CD4+ and fewer CD8+ T cells in the kidney. Reduced collagen deposition and improved functional recovery over time was also identified in KidVD mice. In KidVD‐POD‐ATTAC mice, an increased number of podocytes were counted at 28 days post‐injury. These data demonstrate that increased lymphatic density prior to injury alters the injury recovery response and affords protection from CKD progression.