Miracle-dz/UniFAR-FTUs huggingface dataset:
Immunomodulatory Effects of Bio-Clean II on T-Helper 4 and Cytotoxic T-Lymphocytes in Rats Exposed to Purified Bacterial Lipopolysaccharide

Introduction: Bio-Clean II has been previously shown to boost immunity, fight viral infection, and possesses anti-inflammatory properties by regulating the serum level of inflammatory cytokines in rats exposed to purified bacterial lipopolysaccharide (LPS). In this study, we investigated the immunomodulatory effect of Bio-Clean II on T-Helper 4 and Cytotoxic T-Lymphocytes in rats exposed to purified bacterial LPS. Materials and Methods: A total of 36 male Wistar rats weighing 150g±50g (mean±SD) were purchased and randomly assigned to six (6) groups of 6 rats each. Group 1, 2, 3, 5 and 6 were induced with a single dose of 5mg/Kg of purified LPS® (E. coli 0127:B8, Sigma-Aldrich, St. Louis, USA), administered through intraperitoneal route using 1ml sterile needle and syringe, except for group 4 which served as the zero control (given water and feed only throughout the experiment). Group 1 served as the inflammation control. Group 2 which served as the positive control received 50mg/Kg/bid Diclofenac +500mg/kg/bid of Ciprofloxacin. Group 3 which served as the negative control received sterile phosphate buffer saline (PBS). While rats in group 5 and group 6 were treated orally with the herbal remedy “Bio-Clean II” for 7 days and 14 days, respectively. After which, the rats were sacrificed and a cardiac blood specimen was taken from each rat by terminal bleeding from the heart. CD4 and CD8 Cell counts were evaluated using Fluorescence photomicroscopy and ELISA techniques, respectively. Results: The outcome of this investigation shows that treatment with Bio-Clean II resulted in a significant (P<0.05) increase in CD4 cell count in duration-dependent manner, 7 days (8.40±1.44 Cells/ul) and 14 days (18.40±2.66 Cells/ul), respectively, when compared to the inflammation control (4.80±1.16 Cells/ul). There was also a significant (P<0.05) decrease in CD8 cell count of the Bio-Clean II treated groups: 7 days (27.67±1.32ng/ml) and 14 days (17.44±1.00ng/ml) when compared to the inflammation control (32.93±2.52ng/ml). Conclusion: Bio-Clean Il caused significant alterations in the CD4 and CD8 counts of rats exposed to purified lipopolysaccharide. The outcome of this study, underscores the potential role of Bio-Clean Il in the treatment of bacterial inflammatory diseases, however, the molecular mechanism behind this action warrants for further investigation.
Happy to see you: the positive effects of in-store service encounters on the satisfaction of older consumers

ABSTRACT Although older consumers constitute a growing consumer segment with substantial buying power, not much is known about their satisfaction with retail stores and its antecedents. This study examines how having in-store, face-to-face service encounters with store personnel affects the store satisfaction of older consumers, focusing on the moderating role of consumer age and the mediating role of positive emotions. An empirical study demonstrates positive effects of service encounters with store employees on the store satisfaction and positive emotions of older consumers. Consumer age moderates these effects, so that there are no similar positive effects of in-store service encounters on store satisfaction or positive emotions for the younger consumers. Positive emotions also mediate the effects of in-store service encounters on store satisfaction for the older consumers, but not for the younger consumers.
EFFECT OF WOOD STACKING ON PRODUCTIVITY AND COST OF FOREST EXTRACTION AND LOADING

Due to the need to implement new operational procedures that provide productivity gains and cost reduction in wood harvesting and logistics, the objective of this study was to evaluate the effect of wood stacking on productivity and costs of forest extraction and loading operations. The study was carried out in eucalyptus plantations, where the extraction of wood with the forwarder and the loading of vehicles with the forest loader were evaluated. Three log stacking models on the edge of the stand were evaluated: control, inverted and adjacent, with variations in the alignment and distance of the logs concerning the edge of the stand. A study of the times and movements of the operations was carried out, determining the productivity (m³.h-1) and the production cost (R$.m-3) of the forestry operations. The data were compared using the Tukey test (α=5%) for parametric data and the Kruskal-Wallis test (α=5%) for non-parametric data, and the effect of different extraction distances was also verified using equations. The inverted stacking model contributed to the increase in extraction productivity, while the adjacent model in loading, with a reduction in production cost of around 22.1%. Simultaneously analyzing both wood stacking models, the standard model adopted by the forestry company was better with a 6.1% reduction in costs compared to the others. The productivity equations showed that the inverted stacking model contributed to the forwarder's higher performance at distances up to 140 m. The study showed that wood stacking models affect forestry operations and should be considered in operational planning.
Fully-resolved prolate spheroids in turbulent channel flows: A lattice Boltzmann study

Particles are present in many natural and industrial multiphase flows. In most practical cases, particle shape is not spherical, leading to additional difficulties for numerical studies. In this paper, DNS of turbulent channel flows with finite-size prolate spheroids is performed. The geometry includes a straight wall-bounded channel at a frictional Reynolds number of 180 seeded with particles. Three different particle shapes are considered, either spheroidal (aspect ratio λ=2 or 4) or spherical (λ=1). Solid-phase volume fraction has been varied between 0.75% and 1.5%. Lattice Boltzmann method (LBM) is used to model the fluid flow. The influence of the particles on the flow field is simulated by immersed boundary method (IBM). In this Eulerian-Lagrangian framework, the trajectory of each particle is computed individually. All particle-particle and particle-fluid interactions are considered (four-way coupling). Results show that, in the range of examined volume fractions, mean fluid velocity is reduced by addition of particles. However, velocity reduction by spheroids is much lower than that by spheres; 2% and 1.6%, compared to 4.6%. Maximum streamwise velocity fluctuations are reduced by addition of particle. By comparing particle and fluid velocities, it is seen that spheroids move faster than the fluid before reaching the same speed in the channel center. Spheres, on the other hand, move slower than the fluid in the buffer layer. Close to the wall, all particle types move faster than the fluid. Moreover, prolate spheroids show a preferential orientation in the streamwise direction, which is stronger close to the wall. Far from the wall, the orientation of spheroidal particles tends to isotropy.
Reviewing Literature and Exploring Concept of Leadership for Learning to Organizational Values – HR Insights From Hospitality and Retail Industries in Hong Kong

Purpose: The aim of this study is to explore previous and latest literature, as well as examine the concept of leadership for learning to organizational values. Theoretical framework: This theoretical framework tentatively projects effective leadership to the development of learning aligning with organizational values within an organization, it specifically focuses on hospitality and retailing from HR in Hong Kong. The framework includes the alignment of learning, learning culture, leadership, organizational values, and HR practices. Design/methodology/approach: The concept of leadership for learning to organizational values were explored by literature with a matrix created, and tentatively formed 6 items for data collection from HR and related professionals, with 116 responses. Exploratory factor analysis was carried out by SPSS software. Findings: With the factor loading required at least over 0.6 (the actual value of each item was higher than 0.8) as well as the scale over 0.9, the results showed those 6 items as one component of leadership for learning to organizational values. Research, Practical & Social implications: The study practically implied the importance of leadership to employee, team and organizational learning. The allowed HR be more insightful in future practice and policy, regarding the association of learning, culture, organizational value as well as leadership. Originality/value: The value of the study significantly explored the interconnection of learning, culture, leadership and organizational values in the specified Hong Kong’s context in hospitality and retailing. It would be potentially valuable for HRM practices and promotional organizational success in the future.
Triglyceride-Rich Lipoprotein Metabolism: Key Regulators of Their Flux

The residual risk for arteriosclerotic cardiovascular disease after optimal statin treatment may amount to 50% and is the consequence of both immunological and lipid disturbances. Regarding the lipid disturbances, the role of triglyceride-rich lipoproteins (TRLs) and their remnants has come to the forefront in the past decade. Triglycerides (TGs) stand as markers of the remnants of the catabolism of TRLs that tend to contain twice as much cholesterol as compared to LDL. The accumulation of circulating TRLs and their partially lipolyzed derivatives, known as “remnants”, is caused mainly by ineffective triglyceride catabolism. These cholesterol-enriched remnant particles are hypothesized to contribute to atherogenesis. The aim of the present narrative review is to briefly summarize the main pathways of TRL metabolism, bringing to the forefront the newly discovered role of apolipoproteins, the key physiological function of lipoprotein lipase and its main regulators, the importance of the fluxes of these particles in the post-prandial period, their catabolic rates and the role of apo CIII and angiopoietin-like proteins in the partition of TRLs during the fast-fed cycle. Finally, we provide a succinct summary of the new and old therapeutic armamentarium and the outcomes of key current trials with a final outlook on the different methodological approaches to measuring TRL remnants, still in search of the gold standard.
Analysis of COVID-19-Related User Content on the Baseball Bulletin Board in 2020 through Text Mining

The world engaged in online sport watching during COVID-19. Fortunately, in Taiwan, the pandemic was stably controlled in 2020, allowing for the continuation of the Chinese Professional Baseball League (CPBL); this attracted international attention and encouraged relevant discussions on social media in Taiwan. In the present study, through text mining, we analyzed user content (e.g., the concepts of sports service quality and social identity) on the Professional Technology Temple (PTT) baseball board—the largest online bulletin board system in Taiwan. A predictive model was constructed to assess PTT users’ COVID-19-related comments in 2020. A total of 422 articles and 21,167 comments were retrieved. PTT users interacted more frequently during the closed-door period, particularly during the beginning of the CPBL in April. Effective pandemic prevention, which garnered global attention to the league, generated a sense of national identity among the users, which was strengthened with the development of peripheral products, such as English broadcasting and live broadcasting on Twitch. We used machine learning to develop a chatbot for predicting the attributes of users’ comments; this chatbot may improve CPBL teams’ understanding of public opinion trends. Our findings may help stakeholders develop tailored programs for online spectators of sports during pandemic situations.
K$_{\mbox{\fontsize{12pt}{14pt}\selectfont{\textit{s}}}}$-band luminosity function of the z = 1.237 cluster of galaxies RDCS J1252.9-2927

We derive the Ks-band luminosity function (LF) of the z=1.237 massive X-ray luminous cluster of galaxies RDCS J1252.9-2927. Photometric redshifts, derived from deep multi-wavelength BVRIzJKs data, and calibrated using a large subset of galaxies with spectroscopic redshifts, are used to separate the cluster galaxy population from the foreground and background field galaxy population. This allows for a simultaneous determination of the characteristic magnitude Ks* and faint end slope alpha of the LF without having to make an uncertain statistical background subtraction. The shape of the bright end of the derived LF is similar to that measured at similar restframe wavelengths (in the z-band) in local clusters, but the characteristic magnitude is brighter by Delta Mz*=-1.40(+0.49/-0.58) magnitudes, suggesting that the massive cluster ellipticals that dominate the bright end of the LF were already in place at z=1.237. The derived alpha is shallower (at the 2.2 sigma level) than the value measured in the z-band in clusters in the local universe, suggesting that RDCS J1252.9-2927 contains a relatively smaller fraction of low mass galaxies than clusters in the local universe. The results presented in this paper are a challenge for semi analytical hierarchical models of galaxy formation which predict the characteristic magnitude to grow fainter and the faint end slope to steepen with redshift as the massive galaxies break up into their progenitors. The observed evolution is consistent with a scenario in which clusters are composed of a population of massive galaxies which formed at high redshift (z>>1) and subsequently evolved passively, and a population of lower mass galaxies which are gradually accreted from the field, primarily at lower redshift (z<1). (Abridged)
Fake News Detection in Social Media: Hybrid Deep Learning Approaches

— Social media refers to communication channels on Internet that enable the creation and publication of content generated by the user and interaction between users. Given the accessibility to these means of communication and their rapidity, people resort more to them comparatively to the traditional media including radio, television and newspapers. However, dubious pieces of information such as fake news are often disseminated for malicious purposes. The proliferation of fake news has a strong negative impact on a society such as damage to the reputation of a personality, an organization or the aggravation of conflicts between its members. Due to the proliferation of fake news on these websites, the notion of veracity of information becomes a crucial issue. Research based on machine learning is promising. However, one of the main limitations is the efficiency of predictions. As a solution to detect fake news, we have proposed two models based on hybrid deep learning and evaluated our models on the two real datasets, namely ISOT and FA-KES. An experience of the proposed models to detect fake news, allowed to obtain on ISOT an accuracy of 99% for both models and on FA-KES, we obtain an accuracy of 68% for one the models and an accuracy of 63% for other. Other experiments in generalizing models on these data sets have proposed. The results obtained are better than other machine learning models.
Factors Affecting Birth Space Interval of Women Who Are Attending Primary Health Care Centers

Objective: The aim of this study is to determine the factors affecting birth space interval in a sample of women.Methodology: A cross-sectional study conducted in primary health centers in Al-Tahade and Al- Shak Omar inBaghdad city. Data were collected by direct interview using questionnaire especially prepared for the study.Sample size was (415) women in age group (20-40) years who were chosen randomly.Results: Analysis of data shows highest rate of women (31.8%) had a birth space interval of (8-12) monthsfollowed by (26.7%) had a birth space interval of (19-24) months, (20.2%) had a birth space interval of (>24)months and (16.1%) had a birth space interval of (13-18) months respectively, while lower rate of women (5.1%)had birth space interval of (7) months. The birth space interval was higher in age group (20) years. Also, thisinterval was prolonged by the use of contraceptives, breast feeding and women who had a high level ofeducation.Analysis of data shows that (age group, level of education, occupation, use of contraceptives, parity and numberof abortion) were significant factors associated with birth space interval by using P-value of less than 0.01 wasconsidered significant to test the result.Recommendations: Concentrated effort should be made to emphasize the risk of close birth spacing for both ofthe mother and infant, in all our primary health centers as well as the family planning centers should be includedin these efforts explaining the importance of breast feeding for adequate birth spacing.
A Saturable Pulse Transformer Based on Nanocrystalline Magnetic Cores for an Adjustable Nanosecond High-Voltage Generator

This article is devoted to saturable pulse transformers (SPTs), combining the functions of a pulse transformer and a magnetic switch. Two nanocrystalline magnetic cores are investigated in the SPT of an inductive energy storage (IES) pulsed power system based on a semiconductor opening switch (SOS). The first magnetic core has a square hysteresis loop (Br/Bsat <inline-formula> <tex-math notation="LaTeX">$>$ </tex-math></inline-formula> 90%), while the second core has a flat hysteresis loop (Br/Bsat <inline-formula> <tex-math notation="LaTeX">$\sim $ </tex-math></inline-formula>4%). A test bench with an initially stored energy of 10 J is developed. The circuit design is discussed, and the magnetic materials are compared. Based on the features of the hysteresis loops, two nanosecond high-voltage (HV) SOS generators are tested, with the output voltage adjusted by tuning the input voltage and controlling the bias magnetic field. The influence of the optimal core saturation on the operation of the SOS diode is studied. An adjustable output voltage impulse of more than 200 kV amplitude with a 16 ns rise time is demonstrated on a <inline-formula> <tex-math notation="LaTeX">$1 \text {k}\Omega $ </tex-math></inline-formula> resistive load.
Examining the Effects of Animal-Assisted Activities Against Standard Treatment in a University Setting

The wellbeing of university students has become a global issue in recent years, with the rise of students seeking help for their mental health, the demand for such services has increased exponentially, leading many Universities to struggle in meeting these growing demands. With research in the area manly focused on formal methods of student support, the current study explores the use of more informal sources of support. 100 university students who had attended a standard informal student support session (known as Chooseday Chill) or a wellbeing dog session, were asked to complete a questionnaire measuring their anxiety and overall wellbeing. Results indicated that when compared to the standard support, students who attended the wellbeing dog sessions reported significantly lower levels of anxiety and higher levels of wellbeing at the end of the sessions. The authors discuss the practical implications of these findings for treatment in Higher Education.
Quantisation of compact forms of the trigonometric Ruijsenaars-Schneider system

Recently, Feh\'er and Kluck discovered new compact forms of the trigonometric Ruijsenaars-Schneider system at the level of classical mechanics. In this paper, we quantise all so-called type (i) instances of these classical systems and explicitly solve the joint eigenvalue problem for the corresponding quantum Hamiltonians by generalising previous results of van Diejen and Vinet.
Gaussian Markov triplets approached by block matrices

Multivariate normal distributions are described by a positive de nite matrix and if their joint distribution is Gaussian as well then it can be represented by a block matrix. The aim of this note is to study Markov triplets by using the block matrix technique. A Markov triplet is characterized by the form of its block covariance matrix and by the form of the inverse of this matrix. A strong subadditivity of entropy is proved for a triplet and equality corresponds to the Markov property. The results are applied to multivariate stationary homogeneous Gaussian Markov chains. 2000Mathematics Subject Classi cation. Primary 54C70, 60J05; Secondary 40C05, 60G15.
Genotypic and Haplotypic Association of Catechol-O-Methyltransferase rs4680 and rs4818 Gene Polymorphisms with Particular Clinical Symptoms in Schizophrenia

Catechol-O-methyl transferase (COMT) gene variants are involved in different neuropsychiatric disorders and cognitive impairments, associated with altered dopamine function. This study investigated the genotypic and haplotypic association of COMT rs4680 and rs4618 polymorphisms with the severity of cognitive and other clinical symptoms in 544 male and 385 female subjects with schizophrenia. COMT rs4818 G carriers were more frequent in male patients with mild abstract thinking difficulties, compared to CC homozygotes or C allele carriers. Male carriers of COMT rs4680 A allele had worse abstract thinking (N5) scores than GG carriers, whereas AA homozygotes were more frequent in male subjects with lower scores on the intensity of the somatic concern (G1) item, compared to G carriers. Male carriers of COMT rs4818–rs4680 GA haplotype had the highest scores on the G1 item (somatic concern), whereas GG haplotype carriers had the lowest scores on G2 (anxiety) and G6 (depression) items. COMT GG haplotype was less frequent in female patients with severe disturbance of volition (G13 item) compared to the group with mild symptoms, while CG haplotype was more frequent in female patients with severe then mild symptoms. These findings suggest the sex-specific genotypic and haplotypic association of COMT variants with a severity of cognitive and other clinical symptoms of schizophrenia.