Miracle-dz/UniFAR-FTUs huggingface dataset:
Regulatory T-Cells Suppress Cytotoxic T Lymphocyte Responses against Microglia

Regulatory T-cells (Tregs) play pivotal roles during infection, cancer, and autoimmunity. In our previous study, we demonstrated a role for the PD-1:PD-L1 pathway in controlling cytolytic responses of CD8+ T lymphocytes against microglial cells presenting viral peptides. In this study, we investigated the role of Tregs in suppressing CD8+ T-cell-mediated cytotoxicity against primary microglial cells. Using in vitro cytotoxicity assays and flow cytometry, we demonstrated a role for Tregs in suppressing antigen-specific cytotoxic T-lymphocyte (CTL) responses against microglia loaded with a model peptide (SIINFEKL). We went on to show a significant decrease in the frequency of IFN-γ- and TNF-producing CD8+ T-cells when cultured with Tregs. Interestingly, a significant increase in the frequency of granzyme B- and Ki67-producing CTLs was observed. We also observed a significant decrease in the production of interleukin (IL)-6 by microglia. On further investigation, we found that Tregs significantly reduced MHC class 1 (MHC-1) expression on IFN-γ-treated microglial cells. Taken together, these studies demonstrate an immunosuppressive role for Tregs on CTL responses generated against primary microglia. Hence, modulation of Treg cell activity in combination with negative immune checkpoint blockade may stimulate anti-viral T-cell responses to more efficiently clear viral infection from microglial cell reservoirs.
Identifying critically ill patients with cirrhosis who benefit from nutrition therapy: the mNUTRIC score study

Background and Aim: Malnutrition increases risk of mortality in critically ill patients with cirrhosis. Modified Nutrition Risk in Critically ill (mNUTRIC) score is a validated tool to identify at risk patients who may benefit from goal-directed nutrition therapy. We aimed to study the association between mNUTRIC score and 28-day mortality in critically ill patients with cirrhosis. Methods: A prospective study was conducted in the liver intensive care unit of a quaternary teaching institute. Baseline and follow-up data pertaining to mNUTRIC score, clinical, hemodynamic, biochemical, nutritional parameters, mechanical ventilation, length of ICU stay, and development of sepsis were collected. Correlation between mNUTRIC score and its modulation by nutritional adequacy was determined. Results: One hundred and fifty patients were enrolled. Out of these, 116 (77%) had a high NUTRIC score (HNS) and 34 (23%) had a low NUTRIC score (LNS). Patients with HNS had higher mortality (54% vs. 10%; P = 0.008), longer mechanical ventilation (P = 0.02), and high incidence of sepsis (32% vs. 2.6%; P = 0.002) compared to LNS. The probability of survival increased with increase in nutritional adequacy (P < 0.01) in patients with HNS. Conclusion: mNUTRIC score is a useful tool for identifying nutrition risk in critically ill patients with cirrhosis. Goal-directed nutrition therapy in patients with HNS can significantly improve survival. Relevance for Patients: Critically ill patients with cirrhosis who are at a higher nutritional risk as identified by the mNUTRIC score may have a better survival benefit if higher calorie and protein adequacy are achieved in the ICU.
Pengaruh Konten Mobile Legends di TikTok terhadap Popularitas Games Mobile Legends

Currently, the Tiktok application is one of the most widely used social media platforms for digital marketing activities. Tiktok is a social media platform that provides a place for its users to be able to express and be creative through video content. This Tiktok account with the name @kbggwp is an example of a Tiktok account being used as a promotional medium and creating Mobile Legends content as a medium for popularizing the online game Mobile Legends: Bang Bang. The account contains various information and various interesting video content about Mobile Legends. This study aims to determine how much influence Mobile Legends content on Tiktok has on the popularity of the Mobile Legends game with variable X namely Mobile Legends content on Tiktok and variable Y namely the popularity of Mobile Legends game. In this study, researchers used research theories and concepts, namely marketing communication theory, branding, popularity, Tiktok social media and online games. The research method used is quantitative and a survey of 100 respondents as a sample with a questionnaire research instrument. Based on the results of the study, it was found that there was a positive and significant effect of the Mobile Legends content variable on Tiktok and the Y variable, namely the popularity of the Mobile Legends game by 56.8%. Aplikasi Tiktok merupakan salah satu media sosial yang saat ini banyak digunakan dalam berbagai kegiatan pemasaran. Aplikasi Tiktok dapat digunakan oleh para penggunanya dengan menciptakan konten-konten video yang bervariasi. Akun Tiktok dengan nama @kbggwp ini menajdi salah satu contoh akun Tiktok yang digunakan sebagai media promosi dan membuat konten Mobile Legends sebagai media mempopulerkan game online Mobile Legends: Bang Bang. Akun tersebut berisi mengenai berbagai informasi serta berbagai konten video menarik seputar Mobile Legends. Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh konten Mobile Legends di Tiktok terhadap popularitas game Mobile Legends dengan variabel X yakni konten Mobile Legends di Tiktok dan variabel Y yakni popularitas game Mobile Legends. Pada penelitian ini, peneliti menggunakan teori dan konsep penelitian, yakni teori komunikasi pemasaran, branding, popularitas, media sosial Tiktok dan game online. Metode penelitian yang digunakan berupa kuantitatif serta survei terhadap 100 responden sebagai sampel dengan instrument penelitian kuesioner. Berdasarkan hasil penelitian, ditemukan bahwa terdapat pengaruh positif dan signifikan dari variabel konten Mobile Legends di Tiktok dan variabel Y yakni popularitas game Mobile Legends sebesar 56,8%.
Adjustment of solid precipitation during the Filomena extreme snowfall event in Spain: from observations to “true precipitation”

On January 2021, the heaviest snowfall in five decades hit central Spain, especially affecting Madrid. The city’s Barajas international airport closed, along with a number of roads, and all trains to and from Madrid were cancelled. This storm was named Filomena by The Spanish Meteorological Agency (AEMET), and produced continuous snowfall in Spain on 7-10 January. The observed snow depth was around 50 cm in 24 h in Madrid, and even higher in other areas of Spain. However, the measured accumulation of national precipitation gauges was not consistent with the observed accumulated snow on the ground and with the modeled weather forecast. The undercatch of solid precipitation was the primary reason for this inconsistency. This undercatch was quantified using transfer functions developed from the World Meteorological Organization (WMO) Solid Precipitation Intercomparison Experiment (SPICE). Results show that an underestimation of 20-30 % of solid precipitation in large areas of Spain was observed, with some areas experiencing even larger differences. Without adjustments, it was impossible to accurately validate the model forecast. The adjusted precipitation was also more realistically distributed, and it was more consistent with all the damage that occurred. The same methods can be applied to other snowfall events occurring anywhere in the world, and also using different precipitation gauges and/or models. This an example of the type of extreme events that modelers, forecasters, and climatologists should be aware of to avoid misinterpreting differences between modelled precipitation, observed precipitation, and nowcasting
Influence of Customer Experience on Change in Customer Outcome with Mediating Effect of Relationship Quality and Trust in Banking Sector

The main purpose of the study is to propose a model for better understanding role of customer experience and its impact on customer outcome in banking sector. In private banks, retail customer’s experience with various banking services, which will highly influence the customer outcomes like brand equity, WOM, Satisfaction. Traditionally various studies tested this hypothesis in an independent manner, in presence of relationship quality and trust. In the present study, along with the direct effect between customer experience and customer outcome, indirect effect is also measured by considering relationship quality and customer trust as mediating constructs. The test results proved that the two mediators had partial mediation effect in the model. For the study, sample respondents have been chosen from twin cities of Hyderabad and Secunderabad. The results of the study indicating that bankers can adopt key strategies to overcome the threat caused by negative face of customer experience.
Outcome of Haematological and Haemostatic Indices in Hospitalized Yellow Fever Patients at the Centre for Communicable Disease Control and Research (CCDCR) Federal Medical Centre, Asaba, Delta State, Nigeria

Aim: To assess the outcome of haematological and haemostatic indices in hospitalized Yellow Fever Positive patients treated using levels of full blood count, platelet count and other red cell indices at the Centre for Communicable Disease and Research (CCDCR) Federal Medical Centre, Asaba, Delta State, Nigeria. Study Design: Retrospective observational study. Place and Duration of Study: Centre for Communicable Disease Control and Research (CCDCR), Federal Medical Centre Asaba, Nigeria, between August and December 2020. Methodology: Descriptive data was collected from the records of fifty-six (56) patients aged 16 – 65 years who were hospitalized and treated at the CCDCR FMC Asaba, within the months of August to December, 2020 and 56 non-Yellow Fever subjects as control subjects. The patients’ samples were previously collected and analyzed for haematological parameters (neutrophil, eosinophil, basophil, lymphocytes, monocytes, platelet count, mean cell volume (MCV), mean cell haemoglobin (MCH) and mean cell haemoglobin concentration (MCHC), using an automated haematology analyzer. Data collected was analyzed using SPSS version 25 and P values less than . 05 were considered statistically significant. Results: There were higher levels of total white blood cell count, eosinophil and MCH in hospitalized yellow fever patients when compared with the control group (P < 0.05). On the other hand, there was a lower level in platelet count of hospitalized yellow fever patients when compared with non-yellow fever control subjects (P < 0.05). There was no significant difference in other haematological indices assayed which appeared normal (P > 0.05). Conclusion: In conclusion, it can be inferred that yellow fever can be associated with several haematological derangements which this study has succeeded to lay bare. Understanding these characteristics aids in planning therapy, management of patients as well as monitoring outcome.
Packet‐Loss‐Dependent Stabilization of Model‐Based Networked Control Systems

In this paper, the stabilization problem and controller design of model‐based networked control systems (MB‐NCSs) with both arbitrary and Markovian packet dropouts are discussed via the switched system approach. Different from the common way of using the last successfully transmitted information, the approximate state produced by the explicit plant model is applied to deal with the packet loss problem in our method. Based on the Lyapunov functional methodology and inequality techniques, some sufficient stabilization conditions are derived and stabilizing state feedback controllers are constructed. Moreover, by using the cone complementary linearation (CCL) method, a non‐linear minimization problem subject to some linear matrix inequalities (LMIs) is provided here to help find a sub‐optimal solution. Numerical examples and accompanying simulations illustrate the effectiveness and validity of our techniques, and also evidence of improvements over the existing literature.
Stochastic Analysis on the Path Space of a Riemannian Manifold: I. Markovian Stochastic Calculus

Abstract On the Brownian flow of a compact Riemannian manifold, an intrinsic stochastic calculus is defined. This calculus is Markovian. The stochastic calculus of variation on the bundle of orthonormal frames appears only as an intermediate tool. The Bismut connection plays a paramount role in the final construction.
Fast Prediction of Vehicle Driving Intentions and Trajectories Based on Lightweight Methods

This paper proposes a lightweight model that can quickly predict the intention of other vehicles and their driving trajectories based on the intention predictions. This model is based on the dynamic states of the vehicles and their related road information. This lightweight model uses low-dimensional features, and the lightgbm model is used for training, which greatly reduces the training and inference time of the model. In comparison to most existing prediction algorithms, this model has a low computation complexity for real-time inference and transferability to other types of driving behaviors and road users. The numerical examples on the real-world data demonstrate that the model is practicably efficient with good accuracy and fast inference.
Analytic Approaches to the Study of Small Scale Structure on Cosmic String Networks

We present an analytic model specifically designed to address the long standing issue of small scale structure on cosmic string networks. The model is derived from the microscopic string equations, together with a few motivated assumptions. The resulting form of the correlation between two points on a string is exploited to study smoothing by gravitational radiation, loop formation and lensing by cosmic strings. In addition, the properties of the small loop population and the possibility of detecting gravitational waves generated by their lowest harmonics are investigated. Whenever possible, we compare the predictions of the model to the most recent numerical simulations of cosmic string networks.
Robustness of Convolutional Neural Networks for Surgical Tool Classification in Laparoscopic Videos from Multiple Sources and of Multiple Types: A Systematic Evaluation

Deep learning approaches have been explored for surgical tool classification in laparoscopic videos. Convolutional neural networks (CNN) are prominent among the proposed approaches. However, concerns about the robustness and generalisability of CNN approaches have been raised. This paper evaluates CNN generalisability across different procedures and in data from different surgical settings. Moreover, generalisation performance to new types of procedures is assessed and insights are provided into the effect of increasing the size and representativeness of training data on the generalisation capabilities of CNN. Five experiments were conducted using three datasets. The DenseNet-121 model showed high generalisation capability within the dataset, with a mean average precision of 93%. However, the model performance diminished on data from different surgical sites and across procedure types (27% and 38%, respectively). The generalisation performance of the CNN model was improved by increasing the quantity of training videos on data of the same procedure type (the best improvement was 27%). These results highlight the importance of evaluating the performance of CNN models on data from unseen sources in order to determine their real classification capabilities. While the analysed CNN model yielded reasonably robust performance on data from different subjects, it showed a moderate reduction in performance for different surgical settings.
Microbial Characterization of Retail Cocoa Powders and Chocolate Bars of Five Brands Sold in Italian Supermarkets

A microbial characterization of cocoa powder and chocolate bars of three batches of five different brands sold in Italian markets was performed. The results showed a variable microbial population consisting of mesophilic and thermophilic spore formation in both types of products. The chocolate bars were also contaminated with molds of environmental origin. Bacillus spp. and Geobacillus spp. were found in both products. The chocolate bars were also contaminated by molds belonging to the genera Penicillium and Cladosporium. The sporogenous strains mainly originate from the raw materials, i.e., cocoa beans, as the heat treatments involved (roasting of the beans and conching of the chocolate) are not sufficient to reach commercial sterility. Furthermore, the identified spore-forming species have often been isolated from cocoa beans. The molds isolated from chocolate seem to have an origin strictly linked to the final phases of production (environment and packaging). However, the level of contaminants is limited (<2 log CFU/g); the molds do not develop in both products due to their low Aw (<0.6) and do not affect the safety of the products. However, a case of mold development in chocolate bars was observed. Among the isolated molds, only Penicillium lanosocoeruleum demonstrated a high xero-tolerance and grew under some conditions on chocolate bars. Its growth could be explained by a cocoa butter bloom accompanied by the presence of humidity originating from the bloom or acquired during packaging.
Note on scale invariance and self-similar evolution in (3+1)-dimensional signum-Gordon model

Several classes of self-similar, spherically symmetric solutions of relativistic wave equation with nonlinear term of the form sign(\phi) are presented. They are constructed from cubic polynomials in the scale invariant variable t/r. One class of solutions describes a process of wiping out the initial field, another an accumulation of field energy in a finite and growing region of space.
Biological and Molecular Characterization of the Lytic Bacteriophage SoKa against Pseudomonas syringae pv. syringae, Causal Agent of Citrus Blast and Black Pit in Tunisia

Pseudomonas syringae pv. syringae (Pss), the causal agent of citrus blast and black pit lesion of lemon fruit, continues to cause serious damage in citrus production in Tunisia. Faced with the rapid emergence of the disease and the inefficiency of conventional control methods, an alternative strategy based on the use of bacteriophages was pursued in this study. The lytic Pss bacteriophage SoKa was isolated from soil collected from Tunisian citrus orchards. Analysis of the host range showed that SoKa was able to lyse seven other Pss strains. Interestingly, Pseudomonas syringae pv. porri, pathogenic to leek, could also be infected by SoKa. The activity of SoKa was maintained at pH values between 2 and 10, at temperatures between −80 and 37 °C; the phage could resist UV radiation at an intensity of 320 nm up to 40 min. Whole genome sequencing revealed that the Pseudomonas phage SoKa is a novel phage that belongs to the Bifseptvirus genus of the Autographiviridae family. The absence of virulence proteins and lysogeny-associated proteins encoded on the phage genome, its anti-biofilm activity, and the significant reduction of tissue necrosis in different fruit bioassays make SoKa potentially suitable for use in phage biocontrol.
Accommodation response for integral photography still images

In this paper the accommodation responses for integral photography still images were measured. The experimental results showed that the accommodation responses for integral photography images showed a linear change with images showing the depth position of integral photography, even if the integral photography images were located out of the depth of the field. Furthermore, the discrimination of depth perception, which relates to a blur effect in integral photography images, was subjectively evaluated for the examination of its influence on the accommodation response. As a result, the range of the discrimination of depth perception was narrow in comparison to the range of the rectilinear accommodation response. However, these results were consistent according to the propensity of statistical significance for the discrimination of depth perception in the out range of subjectively effective discriminations.
Shrimp Lipid Droplet Protein Perilipin Involves in the Pathogenesis of AHPND-Causing Vibrio parahaemolyticus

Acute hepatopancreatic necrosis disease (AHPND), caused by a unique strain of Vibrio parahaemolyticus (Vp (AHPND)), has become the world’s most severe debilitating disease in cultured shrimp. Thus far, the pathogenesis of AHPND remains largely unknow. Herein, in Litopenaeus vannamei, we found that a Vp (AHPND) infection significantly increased the expression of lipid droplets (LDs) protein LvPerilipin, as well as promoted the formation of LDs. In addition, the knockdown of LvPerilipin increased the shrimp survival rate in response to the Vp (AHPND) infection, and inhibited the proliferation of Vp (AHPND). Furthermore, we demonstrated that LvPerilipin depletion could increase the production of reactive oxygen species (ROS), which may be responsible for the decreased Vp (AHPND) proliferation. Taken together, our current data for the first time reveal that the shrimp lipid droplets protein Perilipin is involved in the pathogenesis of Vp (AHPND) via promoting LDs accumulation and decreasing ROS production.
COVID-19: Energy, Protein Folding & Prion Disease

The recent recognition of intravascular amyloid formation with deposition of insoluble microthrombi throughout the circulatory system in primary COVID-19 infection or following administration of mRNA vaccines is a pivotal discovery that alters conventional notions about the nature of the underlying pathologic process at play in SARS-CoV-2 infection.
Evaluation of Aloe vera as a Natural Pharmaceutic in Mouthwashes: A Narrative Review

Context: Mouth rinses have been recognized as the main adjuvant or primary treatment to address many issues relating to dentistry. Previous studies have investigated the anti-inflammatory, anti-arthritic, anti-viral, antioxidant, anti-fungal, and anti-bacterial effects of Aloe vera. Recently, Aloe vera has been applied to treat several dental and oral conditions. Methods: Official web pages, such as Scopus, PubMed, and Microsoft were searched for collecting the required data using the keywords Aloe vera, Aloe vera mouthwash, Aloe vera mouth rinse, and dentistry. After checking the abstracts and titles, all relevant papers were retrieved for performing a full-text review. Results: Aloe vera was effective in reducing periodontal indices compared to chlorhexidine. It was also effective in treating oral diseases such as mucositis, postoperative pain, trismus, and dry socket incidence after the third molar extraction. Aloe vera decreased the number of colony-forming units during scaling and root planning (SRP). Conclusions: Aloe vera mouthwash was just as effective as other commercial mouthwashes in reducing the severity of radiation-induced mucositis, periodontal disease, the amount of S. mutans, the number of colony-forming units during SRP, and other situations which required a mouth rinse for the acceleration of treatment.