Miracle-dz/UniFAR-FTUs huggingface dataset:
Comment Prediction in Facebook Pages using Regression Techniques

: Data in Social Networks is increasing day by day. It requires highly managing service to handle the large amount of data towards it. This work is about to study the user activity patterns in Social Networks. So, concentrated on active social Networks which is “Facebook” especially in Facebook Page. Here, user comment volume prediction is made based on page category i.e., for a particular category of page’s post will get certain amount of comments. In order to predict the comment volume for each page and to find which page category getting the highest comment. In preliminary work, it has been concluded with decision tree. So, In Further Study, have analyzed with some more Regression Techniques to make the prediction Effective. In this work, modelled the user comment pattern with respect to Page Likes and Popularity, Page Category and Time. Here Decision Tree, LASSO, K-Nearest Neighbor (KNN), Random Forest, and Leaner Regression Techniques are used. The error is found by Root Mean Square Error (RMSE) Metrics. Then, concluded that K-Nearest Neighbor Algorithm performing well and giving the effective prediction.
Piecewise Latent Growth Curve Models to Test for Discontinuities in Disease Prevalence Trends

The International Classification of Diseases (ICD) is a standard coding and classification system of diagnoses and health conditions developed by the World Health Organization (WHO). The ICD has changed over time; different versions of the ICD are used in health data repositories of hospital and physician service records that contain diagnosis codes. These changes can result in discontinuities in prevalence estimates for health conditions, such as hypertension, arthritis, and dementia, as the meaning of a condition changes over time. Our research purpose is to demonstrate piecewise latent growth curve models to test for discontinuities in ICD-coded data. We apply these models to health data from one Canadian province (population 1.2 million) for cardiorespiratory health conditions captured in ICD versions 8, 9, and 10. Two transition points are considered as a potential source of discontinuity: the transition from ICD-8 to ICD-9 (Clinical Modification) in 1980 in both hospital and physician records and the transition from ICD-9 to ICD-10 in 2004 in hospital data. We investigated piecewise latent growth curve models with the following characteristics: linear or nonlinear trend within each time segment before and after the transition points, discontinuity with or without an elevation (i.e., change in slope) at the transition point. We also show how SAS® generalized linear mixed model procedures can be used to fit piecewise latent growth curve models and identify the best fitting model. Testing for unexpected changes in chronic disease prevalence estimates over time is important to produce accurate regional and national chronic disease surveillance.
Semantic lattices for multiple annotation of images

We address the problem of describing precisely an object present in an image. The starting point is a semantic lattice defining all possible coherent object descriptions through inheritance and exclusion relations. This domain knowledge is used in a learning process which outputs a set of coherent explanations of the image valued by their confidence level. Our first contribution is to design this method for multiple complexity level image description. Our secondary focus is to develop rigorous evaluation standards for this computer vision task which, to our knowledge, has not been addressed in the literature despite its possible use in symbolic annotation of multimedia database. A critical evaluation of our approach under the proposed standards is presented on a new appropriate car database that we have collected.
Lens distortion correction with a calibration harp

Plumb line lens distortion correction methods permit to avoid numerical compensation between the camera internal and external parameters in global calibration method. Once the distortion has been corrected by a plumb line method, the camera is ensured to transform, up to the distortion precision, 3D straight lines into 2D straight lines, and therefore becomes a pinhole camera. This paper introduces a plumb line method for correcting and evaluating camera lens distortion with high precision. The evaluation criterion is defined as the average standard deviation from straightness of a set of approximately equally spaced straight strings photographed uniformly in all directions by the camera, so that their image crosses the whole camera field. The method uses an easily built “calibration harp,” namely a frame on which good quality strings have been tightly stretched to ensure a very high physical straight-ness. Real experiments confirm that our method produces high precision corrections (less than 0.05 pixel), approximating the distortion with a large number of degrees of freedom given by a polynomial model of order eleven.
Multi-agent simulation of purchasing activities in organizations

In this paper we present a multi-agent simulation model to investigate purchasing activities in an organizational environment. The starting point is the observation that the majority of purchasing activities in organizations are usually performed without any involvement of the organization's purchasing department. The purpose of the experiments is to investigate if and how certain factors determine the degree to which purchasing professionals become involved in the purchasing of non-product related (NPR) items and services. Among the factors investigated are: corporate purchasing policies, available information, and the nature of the various purchasing activities. Preliminary results show that the behavior of the multi-agent simulation model is an acceptable representation of reality. Furthermore, the results show the limits of a purchasing department's added value and the important role of organizational learning in that respect. The paper provides directions for further research.
Fast non-linear projections using graphics hardware

Linear perspective projections are used extensively in graphics. They provide a non-distorted view, with simple computations that map easily to hardware. Non-linear projections, such as the view given by a fish-eye lens are also used, either for artistic reasons or in order to provide a larger field of view, e.g. to approximate environment reflections or omnidirectional shadow maps. As the computations related to non-linear projections are more involved, they are harder to implement, especially in hardware, and have found little use so far in practical applications. In this paper, we apply existing methods for non-linear projections [Lloyd et al. 2006; Hou et al. 2006; Fournier 2005] to a specific class: non-linear projections with a single center of projection, radial symmetry and convexity. This class includes, but is not limited to, paraboloid projections, hemispherical projections and fish-eye lenses. We show that, for this class, the projection of a 3D triangle is a single curved triangle, and we give a mathematical analysis of the curved edges of the triangle; this analysis allows us to reduce the computations involved, and to provide a faster implementation. The overhead for non-linearity is bearable and can be balanced with the fact that a single nonlinear projection can replaces as many as five linear projections (in a hemicube), with less discontinuities and a smaller memory cost, thus making non-linear projections a practical alternative.
International Symposium on Ultrasonics-2015, 22-24 January 2015, Department of Physics, Rashtrasant Tukdoji Maharaj Nagpur University, Nagpur, Maharashtra, India

YAlO3:Eu phosphor was synthesised by a solution combustion method. Powder X-ray diffraction (PXRD) confirms the orthorhombic phase of yttrium aluminate (YAlO3). The crystal structure, photoluminescence properties and concentration quenching of YAlO3:Eu phosphors were systematically investigated. The excitation spectra indicate that the phosphors can be efficiently excited by 394 nm, which is matched well with the emission wavelength of near-UV LED chip. All the samples show the characteristic red emission of Eu3+ ions (D0 FJ, J = 0, 1, 2, 3 and 4). The maximum intensity of luminescence is observed at the Eu3+ concentration around x = 0.015. The concentration quenching of Eu3+ in YAlO3:Eu phosphor can be mainly attributed to quadrupole–quadrupole interaction. The results indicate that YAlO3:Eu phosphors exhibit potential applications in the field of near-UV LED as an efficient redemitting phosphors.
The associations of specific school- and individual-level characteristics with obesity among primary school children in Beijing, China

Abstract Objective: We aimed to investigate the associations between school-level characteristics and obesity among Chinese primary school children with consideration of individual-level characteristics. Design: This cross-sectional study was conducted in 2015/2016. School-level characteristics were assessed using an interviewer-administered school questionnaire, and a ‘school-based obesity prevention index’ was further developed. Individual-level characteristics were collected by self-administered questionnaires. Objectively measured height and weight of students were collected, and obesity status was classified according to the International Obesity Task Force criteria for Asian children. Generalised linear mixed models were used to estimate the associations among the school- and individual-level characteristics and obesity of students. Setting: Thirty-seven primary schools from an urban and a rural district of Beijing, China. Participants: School staffs, 2201 students and their parents. Results: The school-based obesity prevention index involved the number of health professionals, availability of students’ health records, monitoring students’ nutrition status, frequency of health education activities, reporting achievements of obesity prevention activities to parents, duration of physical activity during school time and availability of playground equipment. The prevalence of obesity was lower in schools with the higher index value compared with that in schools with the lower index value (OR 0·56; 95 % CI 0·40, 0·79). Some individual-level characteristics were negatively associated with childhood obesity: liking sports, duration of screen time ≤2 h/d, perceived lower eating speed, parental non-overweight/obesity. Conclusions: Irrespective of individual-level characteristics, the specific school-level characteristics had a cumulative effect on obesity among Chinese primary school children. Further school-based obesity intervention should consider these characteristics simultaneously.
A conceptual Bayesian net model for integrated software quality prediction

Software quality can be described by a set of features, such as functionality, reliability, usability, efficiency, maintainability, portability and others. There are various models for software quality prediction developed in the past. Unfortunately, they typically focus on a single quality feature. The main goal of this study is to develop a predictive model that integrates several features of software quality, including relationships between them. This model is an expert-driven Bayesian net, which can be used in diverse analyses and simulations. The paper discusses model structure, behaviour, calibration and enhancement options as well as possible use in fields other than software engineering.
Proteomics Time-Course Study of App Knock-In Mice Reveals Novel Presymptomatic Aβ42-Induced Pathways to Alzheimer’s Disease Pathology

Background: The 42 amino acids long amyloid-β peptide, Aβ42, may initiate a cascade of events leading to the severe neurodegeneration observed in Alzheimer’s disease (AD) brain. However, the underlying molecular mechanisms remain to be established. Objective: To find early Aβ42-induced AD related mechanisms, we performed a brain proteomics time-course study on a novel App knock-in AD mouse model, AppNL-F, expressing high levels of Aβ42 without AβPP overexpression artifacts. Methods: Hippocampus and cortex were analyzed separately by using 18O-labelling mass spectrometry to reveal alterations in protein levels. Pathway analysis of proteomics data was used to identify altered biological functions. Immunohistochemistry was used to further investigate a significant key regulatory protein. Results: Around 100 proteins were differently expressed in AppNL-F mice at each time point (3, 6, 9, and 18 months of age) as compared to wild type mice. Strikingly, already at 3 months of age—long before Aβ plaque development and memory impairment—several pathways, including long-term potentiation and synaptic plasticity, were downregulated, and neuritogenesis was increased. Huntingtin (HTT) was identified as an upstream regulator, i.e., a key protein affecting the levels of several proteins. Increased levels of HTT in hippocampus of AppNL-F mice was supported by immunofluorescence microscopy. Conclusion: Notably, the proteome was significantly altered already at 3 months of age, 6 months before the development of plaques. Differentially expressed proteins varied over time, indicating that increased Aβ42 levels initiate a cascade of events that eventually manifests in amyloid depositions, inflammation, and decline in memory.
Association between diabetic retinopathy and interleukin-related gene polymorphisms: a machine learning aided meta-analysis

ABSTRACT Background Diabetic retinopathy (DR) is a severe complication of diabetes and a common cause of visual loss in adults. We aimed to assess the correlation between IL gene-related SNPs and the incidence of DR and attempted to predict DR with combined mutation site detection. Methods A systematic search of databases was performed up to August 2019. Five genetic models were used to analyze associations. Machine learning methods were implemented to improve SNP-related disease prediction. Results Sixteen trials assessing a total of 7221 patients were included in our meta-analysis. IL6/rs1800795, rs1800796, and IL10/rs1800896 were analyzed. For the IL-6 gene, there was no significant association between rs1800795 and the incidence of DR (allelic model: OR, 1.091; 95% CI, 0.892–1.334; p = .396). There was no significant correlation between rs1800796 (allelic model: OR, 1.135; 95% CI, 0.678–1.901; p = .63), rs1800896 (allelic model: OR, 1.047; 95% CI, 0.788–1.392; p = .752) and the incidence of DR. Unfortunately, the machine learning results also showed that the combined detection of two SNPs could not accurately predict DR occurrence. Conclusion rs1800795 and rs1800796 in the IL-6 gene and rs1800896 in IL-10 gene are not related to the incidence of DR. Mutations in multiple SNPs for each DR patient still need to be specifically assessed to increase prediction accuracy.
Educating Patients by Providing Timely Information Using Smartphone and Tablet Apps: Systematic Review

Background Patient education is a crucial element within health care. It is a known predictor for increased engagement in shared decision making, improved medication and treatment adherence, higher levels of satisfaction, and even better treatment outcomes. Unfortunately, often patients only remember a very limited amount of medical information. An important reason is that most patients are simply not capable of processing large amounts of new medical information in a short time. Apps for smartphones and tablets have the potential to actively educate patients by providing them with timely information through the use of push notifications. Objective The objective of this systematic review is to provide an overview of the effects of using smartphone and tablet apps to educate patients with timely education. Within this review, we focused on patients that receive their care in a hospital setting. We assessed the effects of the interventions on outcomes, such as patients’ knowledge about their illness and treatment, adherence to treatment instructions and to medication usage, and satisfaction with the care they received. Methods A comprehensive search of MEDLINE (Medical Literature Analysis and Retrieval System Online), Embase, CINAHL (Cumulative Index to Nursing and Allied Health Literature), and Web of Science was conducted. Randomized controlled trials (RCTs) published between January 2015 and November 2019 were eligible for inclusion. Two reviewers independently searched and screened articles, assessed study quality and risk of bias, and extracted the data. Due to the heterogeneity of populations, interventions, and outcomes, a meta-analysis was not deemed appropriate. Instead, a narrative synthesis is presented. Results A total of 21 RCTs with 4106 participants were included. Compared to usual care, overall effectiveness of the interventions was demonstrated in 69% of the outcomes. Effectiveness increased to 82% when the intervention had a duration shorter than one month and increased to 78% when the intervention provided at least one push notification per week. The interventions showed the highest effects on satisfaction with information, adherence to treatment instructions and to medication usage, clinical outcomes, and knowledge. Conclusions This review demonstrates that educating patients with timely medical information through their smartphones or tablets improves their levels of knowledge, medication or treatment adherence, satisfaction, and clinical outcomes, as well as having a positive effect on health care economics. These effects are most pronounced in interventions with a short duration (ie, less than a month) and with a high frequency of messages to patients (ie, once per week or more). With the knowledge that patient education is a predictor for improved outcomes and the fact that patients have obvious difficulties processing large amounts of new medical information, we suggest incorporating the delivery of timely information through smartphone and tablet apps within current medical practices.
The potential distribution and dynamics of important vectors Culex pipiens pallens and Culex pipiens quinquefasciatus in China under climate change scenarios: An ecological niche modelling approach.

BACKGROUND Intense studies have been carried out on the effects of climate change on vector-borne diseases and vectors. Culex pipiens pallens and Culex pipiens quinquefasciatus are two medically concerned mosquito species in temperate and tropical areas, which serve as important disease-transmitting pests of a variety of diseases. The ongoing geographically expansion of these mosquitoes has brought an increasing threat to public health. RESULTS Based on mosquito occurrence records and high-resolution environmental layers, an ecological niche model was established to model their current and future potential distribution in China. Our model showed that the current suitable area for Cx. p. pallens is distributed in the central, eastern and northern parts of China, while Cx. p. quinquefasciatus is distributed in vast areas in southern China. Under future climate change scenarios, both species were predicted to expand their range to varying degrees and RCP 8.5 provides the largest expansion. Northward core shifts will occur in ranges of both species. Environmental variables which have significant impact on the distribution of mosquitoes were also revealed by our model. CONCLUSION Severe habitat expansion of vectors is likely to occur in the future 21st century. Our models mapped the high-risk areas and risk factors which needs to be paid attention. The results of our study can be referenced in further ecological surveys and will guide the development of strategies for the prevention and control of vector-borne diseases. This article is protected by copyright. All rights reserved.
Guidance on the diagnosis and management of platelet‐type von Willebrand disease: A communication from the Platelet Physiology Subcommittee of the ISTH

Platelet‐type von Willebrand disease (PT‐VWD) is a rare autosomal dominant platelet bleeding disorder, with 55 patients reported worldwide so far, probably frequently misdiagnosed. Currently, there are no clear guidelines for the diagnosis and management of PT‐VWD and this may contribute to misdiagnosis and thus to inappropriate treatment of these patients. This report provides expert opinion‐based consensus recommendations for the standardized diagnostic and management approach to PT‐VWD. Tests essential in the diagnostic workup are platelet count and size, ristocetin‐induced platelet agglutination with mixing studies, and sequencing of platelet GP1BA gene. Platelet transfusions and von Willebrand factor‐rich concentrates (if VWF is low) are the most effective treatments. This consensus may help to avoid misdiagnosis and guide appropriate management of patients with this disease.
Fastidious chemical decontamination after cyclophosphamide vial breakage in a compounding unit

An important amount of cytotoxic drug may accumulate in the workplace following the breakage of a vial containing an anticancer drug. Thanks to the monthly monitoring of the surface contamination in our compounding unit, a strong increase of cyclophosphamide contamination was highlighted in the storage area following the breakage of the vial, despite application of the emergency procedure. This study presents an analysis of chemical decontamination in the context of massive contamination. Samples were taken on the floor and on the caster of a storage shelf where the vial broke. The residual contamination was measured with a liquid chromatography–mass spectrometry/mass spectrometry method. An admixture of 10−2 M sodium dodecyl sulfate and 70% isopropanol (SDS/IPA 8:2) was selected as the decontamination solution. High amounts of cyclophosphamide were retrieved. The initial contamination on the floor was over 20 ng/cm2. Three decontaminations with SDS/IPA were carried out at Day 61, Day 68, and Day 71. The amount of cyclophosphamide decreased to 0.45 ng/cm2 at D134. However, high values were still measured on the caster despite successive decontaminations, with a maximal value of 19.78 ng/cm2 observed at Day 106. Continuous monitoring in our unit led us to highlight the inefficiency of our emergency procedure to eliminate high cyclophosphamide contamination. The procedure involving the SDS/IPA admixture was more efficient on the floor compared to the caster, which is a different surface type and porosity. This work highlights the importance of improving the procedures of incident management using contamination monitoring and repeated decontamination procedures adapted to different contaminants and surfaces.
Ustekinumab in the treatment of patients with hidradenitis suppurativa: multicenter case series and systematic review

Abstract Background Hidradenitis suppurativa (HS) is a chronic debilitating autoinflammatory skin disease. Adalimumab is the only biologic agent available to treat HS, but lack of response is observed in some patients. Ustekinumab may be useful to treat patients with HS who do not respond to adalimumab. Objective The objectives of this study were: (1) to retrospectively evaluate the therapeutic outcomes of ustekinumab in a multicenter series of patients with HS and (2) to assess all published scientific evidence on its utilization in patients with HS. Methods We evaluated the therapeutic outcomes of 10 patients with HS treated with ustekinumab and conducted a systematic review of published epidemiological studies on ustekinumab-treated patients with HS. Results In the case series, an improvement in the Physician Global Assessment score was observed in 70% (7/10) patients and an improvement in the Numerical Pain Rating Scale in 80% (8/10). In the systematic review, clinical improvement in disease severity was reported in 76% (34/45) patients and symptomatic improvement in 84% (38/45). No severe ustekinumab-related adverse event was recorded. Conclusion These findings suggest that ustekinumab may be an effective and safe option for patients with HS who fail to respond to first-line therapies.