Miracle-dz/UniFAR-FTUs huggingface dataset:
Rolandic Cortex Morphology: Magnetic Resonance Imaging-Based Three-Dimensional Cerebral Reconstruction Study and Intraoperative Usefulness

Background During brain surgery, the neurosurgeon must be able to identify and avoid injury to the Rolandic cortex. However, when only a small part of the cortex is exposed, it may be difficult to identify the Rolandic cortex with certainty. Despite various advanced methods to identify it, visual recognition remains an important backup for neurosurgeons. The aim of the study was to find any specific morphology pattern that may help to identify the Rolandic cortex intraoperatively. Materials and Methods Magnetic resonance imaging of the brain from patients with various conditions was used to create the three-dimensional cerebral reconstruction images. A total of 216 patients with 371 intact hemispheres were included. Each image was inspected to note the morphology of the Rolandic cortex and the suprasylvian cortex. Additionally, other two evaluators exclusively inspected the morphology of the suprasylvian cortex. Their observation results were compared to find the agreements. Results Several distinctive morphology patterns have been identified at the Rolandic cortex and the suprasylvian cortex including a genu, or a knob at the upper precentral gyrus, an angulation of the lower postcentral gyrus, a strip for pars opercularis, a rectangle for the lower precentral gyrus, and a triangle for the lower postcentral gyrus. Combined total and partial agreement of the suprasylvian cortex morphology pattern ranged from 60.4 to 85.2%. Conclusion The authors have demonstrated the distinctive morphology of the Rolandic cortex and the suprasylvian cortex. This information can provide visual guidance to identify the Rolandic cortex particularly during surgery with limited exposure.
Identiﬁcation of Potential Binding Region of Annexin II and Dengue Virus Envelop Glycoprotein

The tissue tropism of a virus is a key determinant of viral pathogenicity which is often modulated by the presence or absence of appropriate molecules on the surface of a host cell that can be used by the virus to gain entry into that cell. Annexin II was seen to interact with dengue virus (DENV) and enhanced infection. Herein, we aimed to explore this interaction as a potential target for the design of anti-DENV therapeutics. We demonstrated annexin II extracellular translocation in Vero cells upon exposure to DENV, extracellular and intracellular colocalization assays as well as co-immunoprecipitation assay were performed to further conﬁrmed protein interaction. Molecular docking and molecular dynamic (MD) simulation were employed to identify the interaction sites. The result showed extracellular translocation of annexin II upon DENV exposure to the cell, the result further showed annexin II colocalizing with DENV E-glycoprotein extracellularly and intracellularly. Furthermore, the result of co-immunoprecipitation assay shows DENV E glycoprotein pulling down annexin II, and the result of molecular docking showed strong interaction between the two proteins. MD simulations has proposed the binding of two regions of annexin II (i) Y274-K280 and (ii) K369-Q327 with BR3 E glycoprotein of DENV2 (residue 380-389), with potential of infections abrogation upon inhibition.
Aflatoxin M1 in milk and dairy products – A mini review

Aflatoxins (AF) are a group of toxic secondary metabolites mostly produced by strains of Aspergillus spp. fungi. There are several types of aflatoxins (AFB1, AFG1, AFB2, AFG2, AFM1, AFM2, etc.), but the most toxic and the most common is AFB1. Aflatoxins have been shown to possess powerful carcinogenic, mutagenic and teratogenic properties. AFB1 can contaminate feed and food during the growth and/or storage under inappropriate conditions. When animals consume AFB1-contaminated feed, it undergoes various metabolic pathways and finally, it is metabolized into hydroxylated metabolite AFM1, which is possibly excreted in milk if the animal is lactating. This issue presents a huge concern regarding the representation of milk and dairy products in the human diet. Furthermore, climate changes have a significant impact on aflatoxin production. Therefore, it is necessary to develop and improve strategies for controlling and mitigating the occurrence of AFM1 in milk and dairy products. The aim of this paper is to provide an overview of the latest scientific literature regarding the occurrence of AFM1 in milk and dairy products.
Can artificial intelligence predict COVID-19 mortality?

OBJECTIVE COVID-19 infection rapidly spread across the globe and evolved into a pandemic. Artificial intelligence (AI) has been used to predict the spread of the virus and diagnose and treat the disease. In this study, we aimed to predict whether patients admitted to the intensive care unit (ICU) due to COVID-19 infection will result in mortality. PATIENTS AND METHODS Ninety parameters were used for each 589 ICU patient. The nine parameters with the highest effect on mortality were determined. Four hundred seventy-one patients were used to train the AI with these nine parameters. AI was tested with 118 patient data. RESULTS AI estimated mortality with 83% sensitivity, 84% specificity, 84% accuracy, and 0.81 F1 score. Therefore, the area under the curve was calculated as 0.91. The results indicate that mortality among COVID-19 patients admitted to the ICU can be predicted based on their laboratory parameters on the first day. CONCLUSIONS These findings underscore the potential benefits of utilizing AI in managing pandemics.
Feedback From Video From Virtual Reality Navigation

Important preconditions for wide acceptance of virtual reality (VR) systems include their comfort, ease and naturalness to use. Most existing trackers super from discomfort-related issues. For example, body-based trackers (hand controllers, joysticks, helmet attachments, etc.) restrict spontaneity and naturalness of motion, while ground-based devices (e
C OMPARING THE P ERFORMANCE OF C HAT GPT AND GPT-4 VERSUS A C OHORT OF M EDICAL S TUDENTS ON AN O FFICIAL U NIVERSITY OF T ORONTO U NDERGRADUATE M EDICAL E DUCATION P ROGRESS T EST

the top performing undergraduate medical student (79/100 questions correctly answered). Conclusions: This study adds to a growing body of literature demonstrating the remarkable performance of LLM-based chatbots on medical tests. GPT-4 performed at a level comparable to the best performing undergraduate medical student who attempted the progress test in 2022/2023. Future work will investigate the potential application of LLM-chatbots as tools for assisting learners/educators in medical education.
To Explore the Role of PERMA-Model of Well-Being in Job Hunt of Management Students in Delhi-NCR Region

: The current study seeks to investigate the role of the PERMA model in the job hunt & well-being of management students in the Delhi NCR region. Studies have found that the characteristics of job seekers have a significant impact on employee well-being. Many studies have also found that job demands such as work pressure can lead to sleep disturbances, poor health, and exhaustion. The PERMA Profiler and the Assertive Job-Hunting Survey were used to collect data from the samples. The PERMA Profiler assesses adults' general well-being by evaluating positive emotions, relationships, meanings, and accomplishment. The Assertive Job-Hunting Survey is used to assess a person's assertiveness when hunting for a job. Data was collected from N = 198 MBA students in Delhi NCR aged 22-25 years, both males and females. The data was analyzed using IBM-SPSS, Version 28. Descriptive and inferential statistics were used to interpret the data. The study discovered a significant positive relationship between well-being and job-hunting assertiveness. Females were found to be more assertive in their job-hunting than males.
55 Years Of IT Capabilities: Past Trends And Future Research Agenda

: The main aim of this study is to analyze the trend and trajectories of IT capabilities corporate research. The study aims to suggest future research directions. The study uses the bibliometric technique to scrutinize the information extracted from the Scopus database on IT capabilities. This paper analyses 1095 manuscripts on IT capabilities since 1965 to 2019 AND identifies the most productive countries, universities, authors, journals, and the most prolific publications in IT capabilities. Also, it visualizes the intellectual network by mapping bibliographic coupling (BC), co-citation. The main contribution of the study is an outline of IT capability trends and trajectories, that could support scholars and practitioners in recognizing the pattern and forthcoming research goals.
is increased in the frontopolar cortex of individuals with

14 Autism spectrum disorder (ASD) etiology is a complex mixture of genetic and 15 environmental factors, the relative contributions of which varies across patients. Despite 16 complex etiology, researchers observe consistent neurodevelopmental features in ASD 17 patients, notably atypical forebrain cortical development. Growth factors, cytokines, and 18 chemokines are important mediators of forebrain cortical development, but have not been 19 thoroughly examined in brain tissues from individuals with autism. Here, we performed an 20 integrative analysis of RNA and protein expression using frontopolar cortex tissues dissected 21 from individuals with ASD and controls, hypothesizing that ASD patients will exhibit aberrant 22 expression of growth factors, cytokines, and chemokines critical for neurodevelopment. We 23 performed group-wise comparisons of RNA expression via RNA-Seq and growth factor, 24 cytokine, and chemokine expression via multiplex enzyme-linked immunosorbent assay 25 (ELISA). We also analyzed single cell sequencing data from the frontopolar cortex of typically 26 developed individuals to identify cell types that express the growth factors we found differentially 27 expressed in ASD. Our RNA-Seq analysis revealed 11 differentially expressed genes in ASD 28 versus control brains, the most significant of which encodes for vascular endothelial growth 29 factor (VEGF-A). Both RNA and protein levels of VEGF-A were upregulated in ASD brains. Our 30 single cell analysis revealed that VEGF is expressed primarily by non-neuronal cells. We also
Graph versioning for evolving urban data

The continuous evolution of cities poses significant challenges in terms of managing and understanding their complex dynamics. With the increasing demand for transparency and the growing availability of open urban data, it has become important to ensure the reproducibility of scientific research and computations in urban planning. To understand past decisions and other possible scenarios, we require solutions that go beyond the management of urban knowledge graphs. In this work, we explore existing solutions and their limits and explain the need and possible approaches for querying across multiple graph versions. RÉSUMÉ
Impact Of Performance Appraisal On Organizational Commitment In Developing Country Manufacturing Enterprises

The industrial sector in Iraqi Kurdistan is one of the most important economic sectors due to it having the ability to adequate economic services especially raw materials that help it develop and expand. Among the Iraqi Governorates, Sulaymaniyah is ranking the first in terms of the size of invested capital for setting up manufacturing plants. It has long been recognized that organizations with commitment workers will accomplish more of their goals and objectives. This paper investigates the impact of the effectiveness of performance appraisal on organizational commitment which commitment goes a step further than loyalty. This paper approved that most industrial enterprises lack effective performance appraisal practices. This is reflected in the reduction and organizational commitment, especially the willingness to leave work if they are given a better opportunity. Finally, the research reached several recommendations for strengthening organizational commitment and decreasing its cons.
Examination of Data Collected from Experiments on Soil Disturbance Using Fuzzy Indicator Approach

Soil disturbance can have important impacts on soil quality and productivity which impact management decisions. However, the extent of potential damage to soil due to soil disturbance is not always obvious. Methods are needed to determine the level of soil disturbance from soil testing. A methodology for this problem could be found using a tool for computations of two soil disturbance indicators called “Disturbance Factor Simple (DFS)” and “Disturbance Factor Complex (DFC)”. This study examined this tool for the examination of data collected from experiments on soil disturbance in two different climatic reagions: Fort Riley, KS, and Fort Benning, GA, USA. Results for Fort Riley indicate that the best indicator of disturbance was the DFS calculated for Ni, Ca, Mg, and C while DFS calculated for Cr, Pb, Ni, and Ca was best for Fort Benning. Results also indicate that the use of DFS calculated for Cu and Ni as affected by changes in soil depth may be useful for detecting archeological sites across soil types.
Context Aware Sensor Conﬁguration Model for Internet of Things

We propose a Context Aware Sensor Conﬁguration Model (CASCoM) to address the challenge of automated context-aware conﬁg-uration of ﬁltering, fusion, and reasoning mechanisms in IoT middleware according to the problems at hand. We incorporate semantic technologies in solving the above challenges.
ARTÍCULO Developing a Multiagent System for Mobile Devices

The development of applications distributed partly on handheld devices is becoming more and more important. This paper shows the use of mobile agents technology in the development of a distributed system, called SAIPE. It makes easier the reading of user e-mail from different accounts and the searching of documents in Internet with a PDA. SAIPE has been developed following the INGENIAS Agent Oriented Methodology and implemented using JADE-LEAP software framework.
Central pulse wave velocity and augmentation index are repeatable and reproducible measures of arterial stiffness

Purpose: Arterial stiffness is an important cardiovascular risk factor. Pulse wave velocity (PWV) and augmentation index (Alx) are established indicators of arterial stiffness. The present study aimed to evaluate the repeatability and reproducibility of PWV and Alx in healthy individuals. Methods: Forty healthy participants (age 33±11 years, 17 females) underwent resting supine PWV and Alx assessments. Measurements were made in triplicate and repeated one week apart. Alx was measured by brachial occlusion and PWV was measured from the carotid artery to the femoral artery by the tonometer - oscillometric method. Repeatability and reproducibility were assessed using intra-class correlation coe�cient (ICC). Inter-operator reproducibility was performed on ten participants. Results: The average values for week-to-week visits for PWV and Alx were 6.20±0.91 vs 6.13±0.91 ms-1 and 14.0±11.8 vs 16.3±12.2 %. For same-day measurements, both PWV and Alx showed excellent repeatability (PWV: ICC=0.96, 95% CI 0.92-0.98, p<0.01; and Alx: ICC=0.90 95% CI 0.84-0.94, p<0.01) and inter-operator reproducibility (PWV: ICC=0.98, 95% CI 0.93-1.00, p<0.01; and Alx: ICC=0.93 95% CI 0.69-0.98, p<0.01). Measurements were repeated one week apart and showed good reproducibility (PWV: ICC=0.77, 95% CI 0.61-0.87, p=<0.01; and Alx: ICC=0.73 95% CI 0.73-0.86, p<0.01). Conclusion: PWV and Alx demonstrate excellent repeatability and good reproducibility. Considering these variables are non-invasive and easy-to-measure, arterial stiffness may have a role in routine clinical practice to facilitate risk strati�cation in cardiovascular diseases
Studies of the Major Gene Expression and Related Metabolites in Cannabinoids Biosynthesis Pathway Influenced by Ascorbic Acid

lecular basis of the elicitors’ effects in the molecular and metabol ic levels is a crucial step for improving the production of the metabolites. To this effect, this study analyzes the key gene expression changes of the cannabinoids pathway and quantifies metabolite fluctuations following the application of AA. acids, phenylpropanoids, and jasmonate precursors, to activate carboxylic acids. The enzyme 4-coumarate:CoA ligase (4 CL) engages in the metabolism of phenylpropanoid in addition to the long-chain acyl-CoA synthetases, which are well-identified plant-activated car boxylic acids [34].
Differential Transformation in Numerical Study: A Case Study Differentiability Equation

: Differential equations play a crucial role in understanding many events in technology and generation. Transformation techniques are one of the numerical approaches that mathematicians have devised to provide a numerical solution of differential equations with the least amount of error. There is currently no transformation method that claims to solve the supplied differential equations numerically or accurately without error. Laplace remodel, Differential transform, crucial remodel procedure, and others are a few of the transformation techniques. Laplace remodel, one of the techniques utilised by scientists and researchers to solve their differential equations, is presented in this study. This study of 18 research publications on Laplace rework programmes shows how many academics have used this rework to obtain the accurate solutions to ordinary, partial, and fractional differential equations. The primary objective of this work is to give a literature review on the use of the Laplace transform.
Do Ethical And Transactional Leadership Yield In Concurrence To The Performance Of Contemporary Firms With Organizational Culture As A Mediator?

The main goal of the research is to experimentally prove the presence of a direct link between leadership styles (i.e., ethical and transactional leadership) and firm performance, which will then be supported by assessing the mediating role of organizational culture in this relationship. The goal of this research is to implement various recommendations provided by renowned academics and practitioners working at prestigious institutions in order to bridge the gap between ethics, leadership, culture, and performance. Data is collected from higher secondary schools in Southern Punjab, Pakistan through questionnaire. The sample size is 211. Because of the high number of people in the target population, this study used convenient random sampling with diverse employees and firms. The proposed study will benefit managers as well as employees and customers of services sector as implications drawn from this study will assist them in taking ethical decision making, supplementing superior firm performance by exercising ethical leadership and ethical organizational culture. According to the findings of this study, the proportions of Ethical as well Transactional Leadership seem to be practically influxes the organizational performance. In such cases, the performance of contemporary firms tends to enhance with the construction of in-study forms of leadership i.e., Ethical Leadership and Transactional Leadership.
for Acute Middle Cerebral Artery Stroke Automated CT Segmentation and Analysis

BACKGROUND AND PURPOSE: The quantitative nature of CT should make it amenable to semiautomated analysis using modern neuroimaging methods. The purpose of this study was to begin to develop automated methods of analysis of CT scans to identify putative hypodensity within the lentiform nucleus and insula in patients with acute middle cerebral artery stroke. METHODS: Thirty-ﬁve CT scans were retrospectively selected from our CT archive (scans of 20 normal control participants and 15 patients presenting with acute middle cerebral artery stroke symptoms). The DICOM data for each participant were interpolated to a single volume, scalp stripped, normalized to a standard atlas, and segmented into anatomic regions. Voxel densities in the lentiform nucleus and insula were compared with the contralateral side at P (cid:44) . 01 using the Wilcoxon two-sample rank sum statistic, corrected for spatial autocorrelation. RESULTS: The quality of the registration for the anatomic regions was excellent. The control group had two false-positive results. The patient group had two false-negative results in the lentiform nucleus, two false-negative results in the insular cortex, and one false-positive ﬁnding for the insular cortex. The remainder of the infarcts were correctly identiﬁed. The original clinical reading, performed at the time of presentation, produced ﬁve false-negative interpretations for the patient group, all of which were correctly identiﬁed by the automated algorithm. CONCLUSION: We present an automated method for identifying potential areas of acute ischemia on CT scans. This approach can be extended to other brain regions and vascular territories and may aid in the interpretation of CT scans in cases of hyperacute stroke. CT is
Sympatric and Allopatric Diversi ଏ cation in the Adaptive Radiations of Midas Cichlids in Nicaraguan Lakes

The Nicaraguan Midas cichlid species complex is a natural experiment where ଏ sh from a large source population from turbid and shallow great lakes very recently ( < 20,000 years ago) colonized eight small crater lakes. The colonizers experienced completely novel environments in the clear and deep calderas. So far, 13 Midas cichlid species have been described, but more genetic clusters were identi ଏ ed. Although some of these species arose in allopatry, many more evolved in the absence of barriers to gene ଏ ow within two crater lakes. They contain small radiations of four and six endemics, respectively. These radiations constitute one of the few generally accepted empirical examples for sympatric speciation making them an ideal system for studying repeated evolution of adaptations and speciation at different levels of biological organization, including the genome level. Diversi ଏ - cation occurred repeatedly in parallel including body morphology, coloration, color perception, and trophic structures such as pharyngeal jaws and hypertrophied lips. Additionally, parallel speciation happened in the two small crater lake radiations, where ecomorphologically similar species evolved repeatedly. Genomic differentiation associated with oligogenic traits (e.g., hypertrophic lips and coloration) is shallow, remaining polymorphisms, but much higher for polygenic traits (e.g., body shape and pharyngeal jaw morphology) that distinguish new species.
Stratiﬁcation of Behavioral Response to Transcranial Current Stimulation by Resting-State Electrophysiology

—Transcranial alternating current stimulation (tACS) enables the non-invasive stimulation of brain areas in desired frequencies, intensities and spatial conﬁgurations. These attributes have raised tACS to a widely used tool in cognitive neuroscience and a promising treatment in the ﬁeld of motor rehabilitation. Nevertheless, considerable heterogeneity of its behavioral effects has been reported across individuals. We present a machine learning pipeline for predicting the behavioral response to 70 Hz contralateral motor cortex-tACS from Electroencephalographic resting-state activity preceding the stimulation. Speciﬁcally, we show in a cross-over study design that high-gamma (90–160 Hz) resting-state activity predicts arm-speed response to the stimulation in a concurrent reaching task. Moreover, we show in a prospective stimulation study that the behavioral effect size of stimulation signiﬁcantly increases after the stratiﬁcation of subjects with our prediction method. Finally, we discuss a plausible neurophysiological mechanism that links high resting-state gamma power in motor areas to stimulation response. As such, we provide a method that can distinguish responders from non-responders to tACS, prior to the stimulation treatment. This contribution could eventually bring us a step closer towards translating tACS into a safe and effective clinical treatment tool.