Miracle-dz/UniFAR-FTUs huggingface dataset:
What a Clinical Hematologist Should Know about T Cells?

T cell’s journey begins from the bone marrow and ends in the peripheral tissues by either fighting the infections or residing in the secondary lymphoid organs as memory T cell. Thymus plays most important role in transforming a docile T cell precursor into a warrior. T cell is one of the most important cells in health and disease. Various diseases originate from qualitative or quantitative defects in T cells leading to various inherited and acquired diseases. This simple and short review is focused on the basic understanding and clinical hematologist’s perspective of T cells.
The Grounded Theory Perspective: Human Resource’s Characteristics In Supporting Risk-Based Management Implementation

This study aims to develop employee organizations' role in implementing risk management in public sector organizations. This study's character uses several indicators, including values, attitudes, interests, and religion. The research was conducted at public sector organizations in the non-profit category, Infaq Amal Zakat and Shodaqoh Muhammadiyah (LAZISMU) in Malang City. The research method used is grounded theory research with a qualitative approach, in which data research uses structured and open interview techniques. The collected data will be analyzed using grounded theory analysis techniques. The study results found several factors, as seen from their abilities, values, attitudes, interests, and religiosity, in supporting the implementation of risk management in Malang. These characteristics include working with time, the right placement of human resources, mastery of job descriptions, information, ability, and transfer of knowledge, in terms of values, including cooperation, responsibility, democracy, solidarity, humanity, honesty, order, and discipline. In terms of attitude, including being wise, with integrity, cooperative, open, and selective. In terms of interest, it is shown by being participatory, actualizing, and proactive.Meanwhile, in terms of religiosity, it includes the mandate to carry out duties, desire in preaching, and personal needs to fill charity activities with full volunteerism.
An Experiment on Parameter Selection for Landslide Susceptibility Mapping using TF-IDF

Landslide can be considered as one of the most common natural threats faced mostly by the people living in the hilly and mountainous regions. Every year, mostly during the monsoons, landslide disrupts the lives of people living in these areas, at times it also leads to the damage of lives, properties etc. Landslide susceptibility mapping has become an essential measure for prevention of losses dues to landslide. In this paper, some input factors that are most common for landslide susceptibility map pertaining to the hilly and mountainous regions have been identified using TF-IDF method.
Promoting Physical Activity During School Closures Imposed by the First Wave of the COVID-19 Pandemic: Physical Education Teachers’ Behaviors in Three European Countries

COVID-19 pandemic has drastically reduced physical activity (PA) behaviors of many people. Physical education (PE) is considered one of the privileged instruments to promote youths’ PA. We aimed to investigate the effects of lockdown on PE teachers’ behaviors promoting their students’ out-of-school PA and differences between three European countries. 1146 PE teachers (59.5% females) from France, Italy, and Turkey answered an online questionnaire about guiding students to engage in out-of-school PA, helping them to set PA goals, encouraging in self-monitoring PA, the pedagogical formats of these behaviors and feedback asked to students. RM-MANCOVAs were performed with a 2 Time (before and during the lockdown) × 3Country (France, Italy, Turkey) × 2 Gender factorial design, using teaching years and perceived health as covariates. A significant multivariate main effect Time×Country×Gender (p&lt;.001) was reported for the behaviors promoting students’ PA, with French and Italian teachers increasing some behaviors, while Turkish teachers showing opposite trends. Significant multivariate main effects Time×Country were found for formats supporting the behaviors (p &lt; .001) and for asked feedback formats (p&lt;.001). The massive contextual change imposed by lockdown caused different reactions in teachers from the three countries. Findings are informative for PA promotion and PE teachers’ education.
Highly selective sulfonated poly(vinylidene fluoride-co-hexafluoropropylene)/poly(ether sulfone) blend proton exchange membranes for direct methanol fuel cells

Proton exchange membranes (PEMs) based on blends of poly(ether sulfone) (PES) and sulfonated poly(vinylidene fluoride-co-hexafluoropropylene) (sPVdF-co-HFP) were prepared successfully. Fabricated blend membranes showed favorable PEM characteristics such as reduced methanol permeability, high selectivity, and improved mechanical integrity. Additionally, these membranes afford comparable proton conductivity, good oxidative stability, moderate ion exchange capacity, and reasonable water uptake. To appraise PEM performance, blend membranes were characterized using techniques such as Fourier transform infrared spectroscopy, AC impedance spectroscopy; atomic force microscopy, and thermogravimetry. Addition of hydrophobic PES confines the swelling of the PEM and increases the ultimate tensile strength of the membrane. Proton conductivities of the blend membranes are about 10−3 S cm−1. Methanol permeability of 1.22 × 10−7cm2 s−1 exhibited by the sPVdF-co-HFP/PES10 blend membrane is much lower than that of Nafion-117. AFM studies divulged that the sPVdF-co-HFP/PES blend membranes have nodule like structure, which confirms the presence of hydrophilic domain. The observed results demonstrated that the sPVdF-co-HFP/PES blend membranes have promise for possible usage as a PEM in direct methanol fuel cells. © 2016 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2016, 133, 43907.
Block models for generalized multipartite networks: Applications in ecology and ethnobiology

Generalized multipartite networks consist in the joint observation of several networks implying some common pre-specified groups of individuals. Such complex networks arise commonly in social sciences, biology, ecology, etc. We propose a flexible probabilistic model named Multipartite Block Model (MBM) able to unravel the topology of multipartite networks by identifying clusters (blocks) of nodes sharing the same patterns of connectivity across the collection of networks they are involved in. The model parameters are estimated through a variational version of the Expectation–Maximization algorithm. The numbers of blocks are chosen using an Integrated Completed Likelihood criterion specifically designed for our model. A simulation study illustrates the robustness of the inference strategy. Finally, two datasets respectively issued from ecology and ethnobiology are analyzed with the MBM in order to illustrate its flexibility and its relevance for the analysis of real datasets. The inference procedure is implemented in an R-package GREMLIN, available on Github (https://github.com/Demiperimetre/GREMLINhttps://github.com/Demiperimetre/GREMLIN).
Evaluating the impact mechanism of citizen participation on citizen satisfaction in a smart city

Citizen satisfaction is an important issue for global city managers in the construction of a smart city. To date, little research has been done on the effect of citizen participation on citizen satisfaction in a smart city. From the perspective of citizen involvement and based on the theory of involvement and American Customer Satisfaction Index model, this study explores the impact mechanism of citizen participation on citizen satisfaction in a smart city and constructs a theoretical model of citizen satisfaction. The data were collected in Qingdao, which is a smart city in China. The analysis shows that citizen involvement has a significant positive influence on citizen participation both cognitively and affectively. Furthermore, citizen participation produces a direct and significant positive impact on citizen satisfaction. Last, citizen participation can also have a significant positive influence on citizen satisfaction through perceived quality and perceived value. The main contribution of this study focuses on the construction of the impact mechanism model. Based on this model, researchers and city managers can understand the entire reaction process of the citizen ranging from subjective judgement to practical actions and then actual experiences in the construction of a smart city.
Perspectiva futura de tiempo y autoeficacia: Un análisis de mediación (dureza psicológica, esperanza y vitalidad) en México y EE.UU.

This study´s objective was to analyze the mediating effects of hardiness, hope, and vitality in the relationship between future time perspective and self-efficacy in the work context. We also analyzed whether such mediation effects vary between Mexico and the U.S. A total of 583 MBA students were surveyed in both countries. The PROCESS (Hayes, 2013) command in SPSS® (20) was employed to analyze the data. The results suggest that (in order of mediating power) hope, hardiness, and vitality transmit almost all the future time perspective´ effects to self-efficacy and that such mediating effects are invariant between the analyzed countries.
Clinical and laboratory data-based nomograms for neurosyphilis diagnosis in non-HIV syphilis patients: a cross-sectional study.

Background: The diagnosis of neurosyphilis (NS) is challenging due to the requirement of lumbar puncture and time-consuming cerebrospinal fluid tests. Therefore, a convenient high-accuracy diagnostic nomogram for NS is warranted. Methods: This cross-sectional study (108 patients) aimed to construct diagnostic models for diagnosing NS with data gathered between September 2015 and January 2020 at Western China Hospital of Sichuan University. We constructed two types of diagnostic models using 108 training samples: 1) symptoms and toluidine red unheated serum test (TRUST) (basic model) and 2) the combined model of symptoms, serum TRUST, and findings of CSF routine tests including CSF protein concentration and CSF glucose concentration (combined model). The clinical usefulness of the diagnostic models was assessed through the comparison of a receiver operating characteristic (ROC) and decision curve analysis (DCA), which adopted bootstrap resampling 500 times. Results: A total of 108 patients were analysed (82% males, mean age: 46 years). Of those, 76 were diagnosed as having reactive neurosyphilis under the criteria of positive results in both CSF treponemal and non-treponemal tests. Psychiatric symptoms and serum TRUST were the strongest diagnostic indicators in serum. A diagnostic model was constructed to readily provide the probability of diagnosis at point of care and presented as two nomograms. The basic model reached 79% specificity, 74% sensitivity and 0.82 Area Under the Curves (AUC) (95% CI, 0.72-091), while the combined model showed 82% specificity, 90% sensitivity and 0.88 AUC (95% CI, 0.80-0.94). The integrated discrimination improvement(IDI) index was 0.05 in comparison of two models. Conclusions: A convenient model using serum TRUST titre and presence of psychiatric symptoms was developed to indicate diagnostic results in patients suspected of NS. Two simple nomograms can be offered to clinicians to facilitate their assessment of patient diagnosis, strengthen the diagnostic decision making, enhance patient stratification, and inform patients in the clinic. Trial registration: This research was retrospectively registered in Ethics committee on biomedical research, West China Hospital of Sichuan University.
Nutrient Utilization in Yankasa Rams Fed Crop Residue Supplemented With Xylanase and Glucanase Combinations

Background: There is less information in Nigeria with regard the understanding of the use of exogenous enzymes widely used in monogastric diets in ruminant’s rations. The study evaluated the effects of supplementing xylanase and glucanase in combination in rations of Yankasa rams. Sixteen yearling Yankasa rams (average 21 kg) were used. Four treatments were evaluated: control (without enzyme combination), 50:50, 75:25 and 25:75 xylanase-glucanase combinations denoted as T1, T2, T3, and T4 respectively. The basal roughage was cowpea husk and sorghum husk. The feeding trial was conducted using complete randomize design.Results: There were differences (p<0.05) with regard to nutrient intake and total digestibility coefficient except crude protein and nitrogen free extract digestibility (p>0.05). The intake and digestibility increased with supplementation of xylanase and glucanase combination at 25:75 ratio respectively. It increased DM intake by 211.90 g/d, DM digestibility by 17.73%, ADF digestibility by 1.17% and NDF digestibility by 1.02%. The nitrogen balance in the body did not increase (p>0.05) with supplementation of 50:50 xylanase-glucanase combination. The efficiency of nitrogen utilization did not differ between the control and 50:50 xylanase-glucanase combination. Conclusion: The combination of xylanase and glucanase at ratio 25:75 respectively improved nutrient intake and digestibility but did not influence nitrogen utilization.
Cognitive Function in Multiple Sclerosis Patients Based on Age, Gender, and Education Level

Multiple sclerosis (MS) is defined as an inflammatory, progressive, and autoimmune disease in the central nervous system, recognized by its subsequent demyelination and neurodegeneration. Cognitive disorders are among the most severe problems in patients with MS, affecting their personal and professional life. This study is aimed to evaluate memory and visual learning, visual processing speed, and spatial perception in MS patients based on age, gender, and level of education. This cross-sectional study was carried out on 42 MS patients (based on McDonald’s criteria). The level of disability in patients was assessed using EDSS, and cognitive performance was evaluated by the use of judgment of line orientation (JLO), symbol digit modalities test (SDMT), and revised brief visuospatial memory test (BVMT-R). In this study, patients were within the age range of 20-51 years, 73.8% of which were female, and 61.9% had academic degrees. According to the classes of independent variables (gender, education level), no significant difference was observed in the mean scores of dependent variables (JLO, SDMT, and BVMR-T scores) (P>0.05). In addition, age as a confounding variable had no impact (P>0.05). In addition, gender and level of education had no significant interaction (P>0.05). According to the results of the study, age, gender, and education level had no significant effect on memory and visual learning, visual processing speed, and spatial perception.
Mathematical Modeling of Transient Processes in Magnetic Suspension of Maglev Trains

On the basis of a generalized interdisciplinary method that consists of a modification of Hamilton–Ostrogradski principle by expanding the Lagrange function with two components that address the functions of dissipation energy and the energy of external conservative forces, a mathematical model is presented of an electromechanical system that consists of the force section of a magneto-levitation non-contact maglev suspension in a prototype traction vehicle. The assumption that magnetic potential hole, generated naturally by means of cryogenic equipment, is present in the levitation suspension, serving to develop the model system. Contrary to other types of magnetic cushion train suspensions, for instance, maglev–Shanghai or Japan–maglev, this suspension does not need a complicated control system, and levitation is possible starting from zero train velocity. As high-temperature superconductivity can be generated, the analysis of levitation systems, including the effect of magnetic potential holes, has become topical. On the basis of the model of a prototype maglev train, dynamic processes are analyzed in the levitation system, including the effect of the magnetic potential hole. A system of ordinary differential equations of the dynamic state is presented in the normal Cauchy form, which allows for their direct integration by both explicit and implicit numerical methods. Here, the results of the computer simulations are shown as figures, which are analyzed.
Test Input Selection for Deep Neural Networks

With the rapid development of deep learning technologies, the quality and security of deep learning systems have aroused great concern recently. Much research has been done in testing deep learning systems. Nevertheless, the oracle problem still remains since the input space of DNN-based software is usually very large and manually labeling is boring and cost-effective. Inspired by structural testing for traditional software, in this paper, we propose an algorithm to mitigate the oracle problem by selecting test inputs worth labeling. Specifically, we propose a test subset selection algorithm that can automatically select a test suite with high coverage but a small size when the labeling budget is limited. Compared with DeepXplore, the proposed algorithm can generate smaller test suites with higher coverage.
Odhadové metody pro výparnou entalpii

A survey, description and comparison of methods for estimation of vaporization enthalpy, which were published i the last decade, are presented. The article is focused mainly on empirical correlations and structural contribution methods because they are considered as the most suitable for chemical engineering usage due to their simplicity, wide applicability and also acceptable accuracy in most cases. The approaches based on the principle of corresponding states and theoretical methods are also included. Most of the cited works are accompanied by the error of prediction taken from the original source.
Deciphering the mechanism and structural features of polysorbate 80 during adsorption on PLGA nanoparticles by attenuated total reflectance – Fourier transform infrared spectroscopy

Polysorbate 80 coated nanoparticles have been studied extensively for delivery of many bioactive molecules to the brain for diagnosis and treatment of different neurological disorders. The adsorption mechanism of polysorbate 80 on nanoparticles is not known due to a lack of suitable techniques for quantification at low concentrations. Here we report the probable mechanism of polysorbate 80 adsorption on poly-D,L-lactide-co-glycolide (PLGA) nanoparticles using a novel extraction procedure coupled with a highly sensitive attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopic method. Both methods facilitated the characterization and quantification of extracted surfactant at the nanogram level. Adsorption isotherm modeling reveals that polysorbate 80 follows a physisorption process (ΔG = 38 kJ Mol−1) and forms a monolayer on the nanoparticle surface. Thermal analysis and X-ray photoelectron spectroscopy (XPS) further support polysorbate 80 coating and surface coverage on PLGA nanoparticles. Real-time ATR-FTIR analysis shows that polysorbate 80 interacts with nanoparticles through the ester group (–CO) and acyl chain (–CH2) during the adsorption. The extent and direction of band shifts in real-time FTIR experiments suggest that the acyl chain of polysorbate 80 micelles loses its ordered structure and becomes flexible with a higher gauche/trans conformer ratio. Reduction in the degree of hydration of the ester group indicates an increase in hydrophobic interactions in the presence of PLGA nanoparticles. The results of FTIR analysis states that polysorbate 80 acquires a flat structure on the nanoparticle surface. This study on polysorbate 80 quantification and adsorption with ATR-FTIR spectroscopy can be extended to other non-ionic surfactants which will ultimately help in determination of biological fate of surfactant coated nanoparticles under in vivo conditions.
Lab-scale fast-hydropyrolysis and vapor-phase catalytic hydrodeoxygenation for producing liquid fuel range hydrocarbons from intact biomass

Venkatakrishnan, Vinod Kumar. Ph.D., Purdue University, December 2014. Lab-scale fast-hydropyrolysis and vapor-phase catalytic hydrodeoxygenation for producing liquid fuel range hydrocarbons from intact biomass. Major Professors: Fabio H. Ribeiro, Rakesh Agrawal and W. Nicholas Delgass, School of Chemical Engineering. Liquid transportation fuels are primarily produced from petroleum-based nonrenewable carbon sources. Sustainably available lignocellulosic biomass, as a renewable form of atmospheric carbon, could be utilized to produce hydrocarbon-based fuels with high energy density. One of the process options for this conversion is the H2Bioil process, where biomass is rapidly heated in a hydrogen environment to produce fasthydropyrolysis vapors that are catalytically upgraded in downstream hydrodeoxygenation (HDO) to produce hydrocarbons. This process has been modeled to have high carbon and energy efficiencies of ~70% and ~75%, respectively. This dissertation presents the results of a lab-scale experimental proof-of-concept for the H2Bioil process for converting intact biomass to liquid fuel range hydrocarbons. Based on various prototype designs for high pressure (up to 68 bar) fast-pyrolysis in an inert environment, a cyclone-type fast-hydropyrolysis reactor system along with downstream vapor-phase catalytic HDO reactor was designed and constructed. A liquid chromatography-mass spectrometry based analytical technique was developed for
The Relationship between Smartphone Addiction, Academic Burnout and Academic Procrastination among University Students During Online Learning

The present study aimed to find out the simultaneous relationship among smartphone addiction, academic burnout, and procrastination among guidance and counseling department students of Semarang State University. This correlational study involved 75 students who were recruited using proportionate stratified sampling with a 10% margin of error. The data were analyzed using multiple correlation and bivariate formulas. The study revealed that 1) there is no significant relationship between smartphone addiction and procrastination, as indicated by a p-value of 0.449. In addition, it was also found that 2) there is no significant relationship between smartphone addiction and academic burnout (p-value = 0.255). However, the study found 3) a significant relationship between academic burnout and procrastination (p-value = 0.046). The fourth finding was that the R-value between smartphone addiction, academic burnout, and procrastination was 0.219 and sig. value of 0.171, indicating a positive, insignificant simultaneous relationship between smartphone addiction, academic burnout, and procrastination among Guidance and Counseling Students of Semarang State University. The result of the study could be used as the basis to determine guidance and counseling services at the university level in order to minimize the problems related to smartphone addiction, academic burnout, and procrastination.