Miracle-dz/UniFAR-FTUs huggingface dataset:
Tumor Infiltrating Lymphocytes as Immunebiomarkers in Oral Cancer: An Update

The high morbidity and mortality associated with oral cancer has necessitated the exploration of newer diagnostic and prognostic biomarkers. In recent decades, targeting immune landscape has emerged as a newer approach as aggressive tumor biology and therapy resistance are influenced by the interplay between tumor and immune cells. A reciprocal association between chronic inflammation and carcinogenesis is well established and tumor infiltrating lymphocytes (TILs) represent inflammatory milieu of tumor microenvironment (TME). The varied T-cell phenotypes in different stages of cancer influence the prognostic and predictive response of the patients. Along with the conventional treatment options, Immunotherapy has evolved as a suitable alterative for oral carcinoma patients especially with recurrent and metastatic disease (R/M) but response is still unpredictable. Tumor microenvironment (TME) plays a key role to either lessen or boost up immune responses. There is an urgent need for extensive studies to be undertaken to better understand how tumor cells escape immune surveillance and resist immune attack. This review is an attempt to elucidate the concept of immune infiltrate in oral squamous cell carcinoma (OSCC) and thus, understanding the role of immunoscore as an adjunct to TNM staging to guide patient treatment.
C-Reactive Protein (CRP) Levels in Stadium 5 Chronic Kidney Disease with Hemodialysis Regularly and Covid-19

Background: Chronic Kidney Disease (CKD) is kidney dysfunction that has occurred for more than 3 months. Patients with stage 5 CKD with hemodialysis (HD) regularly are prone to suffering from COVID-19 because hemodialysis patients can experience malnutrition, inflammation, and atherosclerosis. This study aims to determine CRP levels in stage 5 CKD with HD) regularly and COVID-19 at USU Hospital from June to October 2021. Method: One of the inflammatory biomarkers that can be used in assessing C-Reactive Protein (CRP) levels, by looking at these levels it is expected to know how severe the inflammation of the disease is. This is an observational descriptive study with a total sampling technique. Data were obtained secondarily from the medical records of stage 5 chronic kidney disease patients with COVID-19 with HD regularly. Result: Of the total 28 data, there were male 23 (82.1%) and female.5 (17.9%) patients. Most of them have aged 40-60 years old, and the clinical picture of patients was shortness of breath, with comorbid hypertension. In this study, the most HD duration was for 12-36 months and the highest level of CRP is > 200 mg/dl. Conclusion: The patients with CKD with HD regularly and covid-19 have increased inflammatory markers of CRP
Guided Hybrid Quantization for Object Detection in Remote Sensing Imagery via One-to-One Self-Teaching

Deep convolutional neural networks (CNNs) have improved remote sensing image analysis, but their high computational demands may limit their deployment on low-end devices with limited resources, such as intelligent satellites and unmanned aerial vehicles. Considering the computation complexity, we propose a guided hybrid quantization with one-to-one self-teaching (GHOST) framework. More concretely, we first design a structure called guided quantization self-distillation (GQSD), an innovative idea for realizing a lightweight model through the synergy of quantization and distillation. The training process of the quantization model is guided by its full-precision model, which is time-saving and cost-saving without preparing a huge pretrained model in advance. Second, we put forward a hybrid quantization (HQ) module that automatically acquires the optimal bit-width by imposing a threshold constraint on the distribution distance between the center point and samples in the weight search space, aiming to retain more shallow detail information that is advantageous for small object detection. Third, to improve information transformation, we propose a one-to-one self-teaching (OST) module to give the student network the ability to self-judgment. A switch control machine (SCM) builds a bridge between the student and teacher networks in the same location to help the teacher reduce wrong guidance and impart vital knowledge about objects without vast background information to the student. This distillation method allows a model to learn from itself and gain substantial improvement without any additional supervision. Extensive experiments on a multimodal dataset (VEDAI) and single-modality datasets (DOTA, NWPU, and DIOR) show that object detection based on GHOST outperforms the existing detectors. The tiny parameters (< 9.7 MB) and bit-operations (BOPs) (< 2158 G) compared with any remote sensing-based, lightweight, or distillation-based algorithms demonstrate the superiority in the lightweight design domain. Our code and model will be released at https://github.com/icey-zhang/GHOST.
Stereotypical Perception in Management: A Review and Expansion of Role Congruity Theory

Role congruity theory proposes that bias may arise from the perceived incongruity between stereotypes about a social group and expected requirements for success in a social role. Since its introduction, with a focus on gender roles and the development of prejudice against female leaders, management scholars have applied role congruity theory to understand the emergence and consequences of prejudice in a wide range of organizational settings. We provide a review of management research that has incorporated role congruity theory. In this review, we first identify the key constructs and predictions that underlie the theory. Then, we summarize the adoption of the theory in the management literature based on the effects of role incongruity on target evaluation, outcome, and adaptation. Lastly, we suggest potential areas for future development of the theory, including the expansion of the theory to include social roles beyond gender, the examination of multilevel and multidimensional role incongruity effects, and other relevant emerging topics. We hope that this review will promote the accessibility of role congruity theory to management researchers and stimulate the development and application of the theory in the field of management.
CONTROL AND SEPARATING POINTS OF MODULAR FUNCTIONS

Let L be a complemented or sectionally complemented lattice and let X be a locally convex linear space. We prove the existence of an X-valued control for uniformly exhaustive sequences of X -valued modular functions on L. Moreover, if L is cr-complete, we prove that every countable family of cr-o.c. nonatomic group-valued modular functions on L admits separating points.
Study of the TIG Welding Process of Thin-Walled Components Made of 17-4 PH Steel in the Aspect of Weld Distortion Distribution

This article presents the results of a study on the distribution of weld distortion in thin-walled components made of 17-4 PH steel, resulting from TIG (Tungsten Inert Gas) welding. Both manual and automatic welding processes were examined. Physical simulation of the automated welding process was conducted on a custom-built welding fixture. Analysis of weld distortion in thin-walled components made of 17-4 PH steel was based on the results of measurements of transverse shrinkage and displacement angle values. These measurements were taken on thin-walled parts before and after the welding process using a coordinate measuring machine (CMM). To determine the effect of manual and automated welding processes on the microstructure of the welded joint area, metallographic tests and hardness measurements were performed. The microstructure was analyzed using a scanning electron microscope (SEM). An analysis of the chemical composition of selected welded joint zones was also conducted. These tests were performed using an optical emission spectrometer (OES). According to the results, the use of automated welding and special fixtures for manufacturing thin-walled aircraft engine components made of 17-4 PH steel reduces the propensity of these components for distortion due to the effects of the thermal cycle of the welding process. This conclusion is supported by the results of the observation of the microstructure and analysis of the chemical composition of the various zones of the welded joint area.
Quality of Financial Information Disclosure and Efficiency of Resource Allocation Under Dual-Track System: Empirical Evidence of Registration System Reform in China

ABSTRACT This study examined the listed companies in China’s National Equities Exchange and Quotations (NEEQ) from 2014 to 2021 to investigate the influence of the financial disclosure quality of IPO companies on the speed of passing in different systems of registration and approval from the perspective of resource allocation efficiency. In the trial registration system, high-quality financial disclosure was found to significantly improve IPO enterprises’ speed of passing, while venture capital and its characteristic variables enhanced the relationship between the financial disclosure quality and speed of passing; Distinguishing between regional marketability and firm characteristics attributes reveals that the contribution of venture capital to the relationship between financial disclosure quality and speed of passing is more pronounced in the sample of firms in low marketability regions, high technology, and smaller size. In addition, further research shows that the enterprises with high financial disclosure quality in the registration system sample have higher long-term excess returns after listing. Finally, the conclusion is still robust after using the generalized tendency matching score (GPSM) and instrumental variable method (IV) to eliminate endogenous interference. The conclusion provides empirical support and a theoretical basis for reforming the registration and issuance system in emerging market countries.
Implementation of the integrated public service information system application (SIPUT) to improve public service communication in the Loktuan Village, Bontang City

SIPUT is an information system that utilizes information and communication technology to facilitate administrative management at the administrator level. The study aimed to find out the implementation of the SIPUT (Integrated Public Service System) application to improve public services in the Loktuan Village, Bontang City. This research used a descriptive qualitative approach with a purposive sampling technique. The primary data sources used in this study include the head of the Loktuan sub-district head, Mr. Hadi Jumianto and Mrs. Nurliya, and three public service employees or staff who operate the SIPUT application, as well as the surrounding community who often use public services in the Loktuan sub-district, as many as 5 people. Secondary data sources used are written sources. Data analysis using Miles and Huberman. In improving public services, five indicators serve as a benchmark for whether the efforts made can improve public service communication, namely fast service, appropriate service, cheap service, safe service, and fair service. The government can improve digital-based public services by adding additional features such as customer satisfaction levels and complaint telephone numbers if there are things that might harm citizens.
Brain network analysis reveals convergent and divergent aberrations between mild stroke patients with cortical and subcortical infarcts during cognitive task performing

Although consistent evidence has revealed that cognitive impairment is a common sequela in patients with mild stroke, few studies have focused on it, nor the impact of lesion location on cognitive function. Evidence on the neural mechanisms underlying the effects of mild stroke and lesion location on cognitive function is limited. This prompted us to conduct a comprehensive and quantitative study of functional brain network properties in mild stroke patients with different lesion locations. Specifically, an empirical approach was introduced in the present work to explore the impact of mild stroke-induced cognitive alterations on functional brain network reorganization during cognitive tasks (i.e., visual and auditory oddball). Electroencephalogram functional connectivity was estimated from three groups (i.e., 40 patients with cortical infarctions, 48 patients with subcortical infarctions, and 50 healthy controls). Using graph theoretical analysis, we quantitatively investigated the topological reorganization of functional brain networks at both global and nodal levels. Results showed that both patient groups had significantly worse behavioral performance on both tasks, with significantly longer reaction times and reduced response accuracy. Furthermore, decreased global and local efficiency were found in both patient groups, indicating a mild stroke-related disruption in information processing efficiency that is independent of lesion location. Regarding the nodal level, both divergent and convergent node strength distribution patterns were revealed between both patient groups, implying that mild stroke with different lesion locations would lead to complex regional alterations during visual and auditory information processing, while certain robust cognitive processes were independent of lesion location. These findings provide some of the first quantitative insights into the complex neural mechanisms of mild stroke-induced cognitive impairment and extend our understanding of underlying alterations in cognition-related brain networks induced by different lesion locations, which may help to promote post-stroke management and rehabilitation.
The Effect of Perceptions of Profit Sharing, Islamic Financial Literacy, and E-Banking on Customer Interests in Using Bank Syariah Indonesia (BSI) Services Religiosity as a Moderating Variable

The increasing development of Islamic banks in Indonesia can be seen in the office network of Islamic banks, which increased by 3% from 2020 to 2021. Therefore, the purpose of this study is to explain the influence of perceptions of profit sharing, Islamic financial literacy, and the quality of e-banking services on customer interest in using BSI services, with religiosity as a moderating variable. The data in this study used primary data collected by a questionnaire that was distributed to 400 BSI customer respondents determined by the Slovin formula. The sampling technique used was accidental sampling. The analysis technique in this study uses moderating regression analysis (MRA) with the help of SPSS 25. The results of this study indicate that perceptions of profit sharing, Islamic financial literacy, and quality of e-banking services have a positive influence on customers' interest in using BSI services, either partially or simultaneously; religiosity is unable to moderate the influence of perceptions of profit sharing, Islamic financial literacy, and quality of e-banking services on interest in using BSI services. The suggestion for this research is that future researchers should add other variables that affect interest in using BSI services, such as trust, brand image, and product diversity, as independent variables and make promotion variables a moderating variable to obtain more comprehensive results. They also need to add samples with wider coverage areas. wider so that it is not dominant in students so that further research can provide a broader picture of the problem of this research and the level of generalization obtained can be higher. Not only that, readers are expected to add insight regarding Islamic financial literacy and understanding of the profit-sharing system implemented by Bank Syariah Indonesia so that they have an interest in using BSI services
Conducting Undergraduate Research: EFL Students’ Perceptions and Practices

Undergraduate research has received increasing attention for its potential applications in different domains of EFL contexts, including English language teaching and learning. The purposes of this mixed-methods study were to explore EFL students’ perceptions of the importance of conducting research at the undergraduate level and the challenges faced by students when conducting research. The population of the study was EFL undergraduate students studying at a university of foreign languages in central Vietnam. The sample consisted of 200 third-year and fourth-year students majoring in English Language Studies and English Language Teaching. The data were collected through questionnaires and semi-structured interviews. The results show that EFL students were aware of the importance of doing research at the undergraduate level and held positive attitudes towards participating in research as student researchers. In terms of the EFL students’ perceived practices of conducting undergraduate research, the findings reveal that the studied EFL students, with or without research experience, were prepared in a variety of ways to conduct research at the university level. However, the findings suggest that the reality of conducting undergraduate research did pose some considerable challenges for these students. The most frequently encountered difficulties included choosing an interesting research topic, developing a theoretical framework relevant to the research objectives, and identifying research gaps after reviewing prior studies. Recommendations are then put forward for EFL students, teachers, and institutions.
Newly Established Genetic System for Functional Analysis of MetSV

The linear chromosome of the Methanosarcina spherical virus with 10,567 bp exhibits 22 ORFs with mostly unknown functions. Annotation using common tools and databases predicted functions for a few genes like the type B DNA polymerase (MetSVORF07) or the small (MetSVORF15) and major (MetSVORF16) capsid proteins. For verification of assigned functions of additional ORFs, biochemical or genetic approaches were found to be essential. Consequently, we established a genetic system for MetSV by cloning its genome into the E. coli plasmid pCR-XL-2. Comparisons of candidate plasmids with the MetSV reference based on Nanopore sequencing revealed several mutations of yet unknown provenance with an impact on protein-coding sequences. Linear MetSV inserts were generated by BamHI restriction, purified and transformed in Methanosarcina mazei by an optimized liposome-mediated transformation protocol. Analysis of resulting MetSV virions by TEM imaging and infection experiments demonstrated no significant differences between plasmid-born viruses and native MetSV particles regarding their morphology or lytic behavior. The functionality of the genetic system was tested by the generation of a ΔMetSVORF09 mutant that was still infectious. Our genetic system of MetSV, the first functional system for a virus of methanoarchaea, now allows us to obtain deeper insights into MetSV protein functions and virus-host interactions.
Influence of Porosity, Fiber Radius and Fiber Orientation on the Transport and Acoustic Properties of Random Fiber Structures

The ability of air-saturated fibrous media to mitigate sound wavesiscontrolled by their transport properties that are themselves controlled by the geometrical characteristics of their microstructure such as the open porosity,fiber radius, and fiber orientation. Here, micro-macro relationships are proposed to link these microstructural features to the macroscopic transport properties of random fiber structures. These transport properties are the tortuosity, the viscous and thermal static permeabilities, and the viscous and thermal characteristic lengths. First, representative elementary volumes (REVs)ofrandom fiber structures are generated for different triplets of porosity,fiber radius and fiber orientation. The fibers are allowed to overlap and are motionless (rigid-frame assumption). The fiber orientation is derivedf rom as econd order orientation tensor.S econd, the transport equations are numerically solved on the REVs which are seen as periodic unit cells. These solutions yield the transport properties governing the sound propagation and dissipation in the respective fibrous media. From these solutions, micro-macro relationships are derivedt oe stimate the transport properties when the geometry of the fiber structure is known. Finally,these relationships are used to study the influence of the microstructural features on the acoustic properties of random fiber structures.
Simulated performance evaluation of d-Be compact fast neutron source

ABSTRACT The d+Be neutron source is a candidate for transportable neutron source for on-site nondestructive inspection of infrastructure facilities such as bridges, tunnels and so on. The applicability of the d+Be neutron source to a transportable fast neutron source is explored by Monte Carlo particle transport simulations with the PHITS code and the JENDL-5 nuclear data library. The simulation results show that by increasing the shielding thickness by about 1.5 times, it is possible to realize the d+Be neutron source with the comparable performance to another candidate, the 2.5-MeV p+Li neutron source, at lower beam energy.
The Spatial–Temporal Effects of Bacterial Growth Substrates on Antibiotic Resistance Gene Spread in the Biofilm

Biofilm is considered as the hotspot of antibiotic resistance gene (ARG) dissemination. Bacterial growth substrates are important factors for biofilm formation, but its spatial–temporal effects on ARG spread in biofilm is still unclear. In this study, microfluidics combined with microscopic observation were used to reveal spatial–temporal effects of bacterial growth substrates on ARG transfer at real time. The initial horizontal gene transfer events were found to be independent of substrate levels. However, subsequent transfer processes varied greatly depending on the availability of growth substrates. The proportion of transconjugants was much higher (~12%) when observed in substrate-rich regions (under the channel) at 24 h, followed by an exponential decline, with the distance far from the channel. Furthermore, three-dimensional observation revealed that vertical gene transfer influenced by the concentrations of bacterial growth substrates was important for ARG spread in biofilm. The transfer frequency was 8.2 times higher in the high substrate concentration (50×) compared to low concentration (0.5×) in simulated sewage, underscoring the substantial impact of bacterial growth substrate variability on ARG dissemination. This study is helpful for in-depth understanding of ARG dissemination through biofilms and indicates that reducing pollutant emission is important for ARG control in the environment.