Miracle-dz/UniFAR-FTUs huggingface dataset:
Editorial: Flexibility in the genome and proteome: an adaptive toolkit for organisms

At the dawn of this millennium, the Human Genome Project (HGP) prospected the most detailed description of the genetic and epigenetic regulatory pathways (The International Human Genome Mapping Consortium et al., 2001). However, it focussed on covering the euchromatic fraction while neglecting the heterochromatic regions which would eventually turn out to be of crucial importance. It would not be until 2 decades later that an almost complete human reference genome is published (Nurk et al., 2022). The telomere-to-telomere length reference genome, T2T-CHM13, covers the existing gaps and presents a wholistic sequence for the potential evolutionary relics to be uncovered in due course of time. During the decadal time gap between the first reference genome and the latest, numerous genome-wide studies have been published and have recognised linked associations (Mosaku et al., 2023). The validation of the robustness of their results lies with the time hereafter. Such milestones have proven to be catalytic in advancing the technological barriers. An exciting example could be the invention of molecular 3D structure prediction methods like, AlphaFold (DeepMind, 2023) and RoseTTaFold (Baek et al., 2021) which use deep learning neural networks to access repetitive patterns from the protein sequence space that can be associated to the known 3D structural space to learn the relationship between the two. Building upon these advancements, a collaborative effort led by Deepmind and EMBL-EBI have used AlphaFold to predict the structural space of the known human proteome (Tunyasuvunakool et al., 2021). However, the structural space that was available to train these networks lack important regions, particularly disordered and highly flexible regions. This could be the reason for these method’s inability to explain the low confidence of structure prediction in the known flexible regions or the impact of pathological mutations on the structure. Scientific milestones usually result in attracting research groups who would design their work-plan around that exciting discovery. Although quite natural, it often leads to a very pertinent question that does the designed project consider the complex nature OPEN ACCESS
The Use of Internet Technologies and Export Performance: The Moderating Role of International Experience

Goal – the objective of the present study is to examine the moderating effect that internationalisation has on the relationship between the use of Internet technology on export performance. Research methodology – the study uses data on 500 Polish manufacturing companies with grounded foreign activities for the period between 2017 and 2019. To test our hypotheses a fixed-effects regression analysis was employed. Score/results – the relationship between the implemented internet technologies and operational efficiency is visible only for highly internationalised companies, supporting the hypothesised moderating effect of the international experience. The implemented passive internet technologies may, contrary to expectations, even have a negative impact on the company’s efficiency. Originality/value – This study contributes to extant research by adopting a broader concept of export model, including the use of modern marketing and sales concepts, in addition to the previous understanding of market strategy used in export research.
Did that Scare You? Tips on Creating Emotion in Experimental Subjects

The appropriateness of experiments for studying causal mechanisms is well established. However, the ability of an experiment to isolate the effect of emotion has received less attention, and in this letter we lay out a guide to manipulating and tracing the impact of emotions. Some experimental manipulations are straightforward. Manipulating an emotion like anxiety is less obvious. There is no magic “political anxiety pill” and placebo that can be randomly assigned to participants. While the magic political anxiety pill is still elusive, we advocate using multiple manipulations, extensive pretesting, and mediation models. These approaches have allowed us to situate a discrete emotional experience in a complex political environment.
Statistical Evaluation of the Coupling Effects Between Tags in a UHF RFID Forward Link

The aim of this paper is to propose a statistical analysis of the performance of an RFID system in a high-density context, based on a physical model which takes into account the mutual coupling and random position of tags. The read-range of an isolated tag is measured and validated from simulation. The degradation in terms of read-range and the power absorbed by the RFID chip is analysed in the presence of surrounded short-circuited tags. Then a set of randomly distributed RFID tags are modelled by a set of loaded half-wave dipoles distributed over an electrically small area to observe the absorbed power on circuit-level. An impedance matching technique employing a T-match has been adapted with dipoles for maximum power transfer in the forward link. The coupling effects taking into account the randomness of dipoles are studied using linear and circular polarisations of the incident field. Numerical Electromagnetics Code (NEC) simulator and High-Frequency Structure Simulator (HFSS) are used for the assessment of forward links for dipoles (with and without T-match) and tags respectively.
New quasi-Newton method for solving systems of nonlinear equations

We propose a new Broyden method for solving systems of nonlinear equations, which uses the first derivatives, but is more efficient than the Newton method (measured by the computational time) for larger dense systems. The new method updates QR or LU decompositions of nonsymmetric approximations of the Jacobian matrix, so it requires O(n2) arithmetic operations per iteration in contrast with the Newton method, which requires O(n3) operations per iteration. Computational experiments confirm the high efficiency of the new method.
Comparative Analysis of Key Parameters of Photonic Nanojets from Axisymmetric Nonspherical Microparticles

The effect of photonic nanojets (PNJ) in the scattering near field nearby the surface of dielectric axisymmetric microparticles (hemisphere, axicon, and combined particles) under optical illumination is theoretically considered. Key PNJ parameters (length, width, and peak intensity) are calculated using the discrete-dipole approximation; the dependence of these parameters on the geometric shape of microparticles is analyzed. We show that the use of a special type of combined transparent particle, which consists of an axicon and two attached hemispheres, can produce ultralocalized light fluxes with a peak intensity which considerably exceeds the corresponding values for simple particles (hemisphere and axicon).
Comprehensive review of nickel biogeochemistry, bioavailability, and health risks in the environment

Elevated nickel (Ni) content in soils and water cause a potential threat to food safety and human health. Owing to its numerous uses from common domestic items to industrial usage, it is vital to assess its bioavailability and speciation in the natural environment. In this review, the biogeochemical cycling of Ni in the natural environment and numerous aspects like dissolution, reducing‐oxidizing condition, pH, precipitation, and biological transformations have been briefly discussed. Moreover, health risks associated with Ni have been assessed based on the datasets (soil samples from diverse countries) collected from the literature, and it exerts various health perils in humans for example punctures of the nasal septum, prolonged rhinitis, and contact dermatitis instigated by the absorption of Ni‐metal dust, Ni alloys, and Ni salts on injured skin etc. The carcinogenic and non‐carcinogenic risks inferences showed that dermal interaction is the foremost method of revelation, and children are more susceptible than adults. The findings of this study will be significant for scientists, environmentalists, and policymakers in making strategic strategies for environmental protection and strategic human health management to reduce Ni pollution in the natural environment.
Numerical methods for the unsteady incompressible Navier-Stokes equations and their application to the Direct Numerical Simulation of turbulent flows

Two new methods for the efficient parallel computation of the unsteady incompressible Navier-Stokes equations are presented. Such efficient methods are desired for large scale parallel computations of unsteady turbulent flows such as Direct Numerical Simulations (DNS). The performance of the new methods has a distinct advantage over the artificial compressibility method, in that the methods exhibit robust convergence for a variety of flow problems without extensive need for tuning computational parameters. These methods and others have been implemented in a computer program designed for massively parallel computer architectures, written by the author and used to obtain all results in this work. A DNS of a film-cooling jet is performed in order to evaluate the accuracy of the modeled expressions in the k − ε turbulence model. Using the results of the DNS, the terms in the exact and modeled k − ε equations are computed. These terms are examined to see where the models fail for these flows. DNS budgets for k and ε in a film cooling jet flow are presented to provide turbulence modelers with information as to where the models used to replace the exact k − ε equations need improvement for this particular type of flow. A DNS of a pulsed jet is performed to analyze the effect of external pulsing on the flow structures and the resulting mixing of the jet with the crossflow. As the problem is inherently unsteady, the key to the successful prediction of such flows is the ability to resolve the dynamics of all important flow structures resulting from the interaction of the unsteady pulsed jet with the crossflow. In the present work massless particles are released into the flow at various locations. These particles are colored by their seed locations or residence time, greatly aiding the understanding of the dynamics of the flow. A new origin for the formation of the wake vortices has been discovered for both pulsed and unpulsed jets. Pulsing is shown to drastically change
Virus-Specific T-Cell Therapy for Viral Infections of the Central Nervous System: A Review

Opportunistic viral infections of the central nervous system represent a significant cause of morbidity and mortality among an increasing number of immunocompromised patients. Since antiviral treatments are usually poorly effective, the prognosis generally relies on the ability to achieve timely immune reconstitution. Hence, strategies aimed at reinvigorating antiviral immune activity have recently emerged. Among these, virus-specific T-cells are increasingly perceived as a principled and valuable tool to treat opportunistic viral infections. Here we briefly discuss how to develop and select virus-specific T-cells, then review their main indications in central nervous system infections, including progressive multifocal leukoencephalopathy, CMV infection, and adenovirus infection. We also discuss their potential interest in the treatment of progressive multiple sclerosis, or EBV-associated central nervous system inflammatory disease. We finish with the key future milestones of this promising treatment strategy.
Analysis of the DC-Link Current for the Single-Phase H-Bridge Inverter Under Harmonic Output Currents

This paper investigates the dc-link current to facilitate the dc-link capacitor sizing for the single-phase H-bridge inverter under harmonic ac currents. As the capacitor equivalent series resistance varies significantly until the frequency is higher than 1 kHz, the expressions of the dc-link current individual low-order harmonics (LOHs) and the switching harmonic currents (SHCs) root-mean-square (rms) value are derived, respectively, to accurately evaluate the dc capacitor losses. The dc-link LOH expressions reveal that each harmonic ac current induces two harmonic currents in the dc-link. When the ac current has multiple combinations of LOHs, the dc-link current envelopes take infinite possible unusual forms, so after somewhat complicated derivation, the SHCs rms equations are successfully derived and further simplified into one equation for easy worst case design as demonstrated by the actual case study. A single-phase H-bridge inverter lab prototype is developed to inject arbitrary combinations of harmonic currents of different orders, amplitudes, and angles into the grid. The good match between the computational, simulation, and experimental results validate the effectiveness of the proposed method. In particular, the worst case analysis is verified by the experiment and the differences between the experimental and computational results are formulated and explained definitely.
Measurement of the water-vapor void fraction in a 4x4 unheated rod bundle

ABSTRACT In recent years, computational fluid dynamics (CFD) simulations have been used to evaluate the two-phase flow behavior inside fuel bundles for nuclear core design and accident management. Space – time distributions of the void fraction and interfacial velocity in bundle systems at high temperatures and pressures are important for validating CFD codes describing two-phase flow. However, such space – time distributions of the void fraction and interfacial velocity in bundle systems are difficult to obtain under high-temperature and high-pressure conditions. Thus far, we have developed an experimental apparatus with a 4 × 4 unheated rod bundle by adapting a through-rod wire mesh sensor to measure the void fraction and interfacial velocity distributions under high pressures and high temperatures. In this study, we measured distributions of the void fraction and interfacial velocity in a water–vapor system under high-pressure conditions up to 2.6 MPa and high temperatures, using the developed apparatus. We demonstrate that the experimental apparatus yields reasonable results for two-phase flow inside a fuel bundle. However, the analysis method used in this study could not properly estimate the interfacial velocity under some experimental conditions, highlighting the need to improve the method for analysis of the interfacial velocity.
Finite element formulation for fluid-structure interaction in three-dimensional space

A development is presented for a three-dimension hexahedral hydrodynamic finite-element. Using trilinear shape functions and assuming a constant pressure field in each element, simple relations were obtained for internal nodal forces. Because the formulation was based upon a rate approach it was applicable to problems involving large displacements. This element was incorporated into an existing plate-shell finite element code. Diagonal mass matrices were used and the resulting discrete equations of motion were solved using explicit temporal integrator. Results for several problems were presented which compare numerical predictions to closed form analytical solutions. In addition, the fluid-structure interaction problem of a fluid-filled, cylindrical vessel containing internal cylinders was studied. The internal cylinders were cantilever supported from the top cover of the vessel and were periodically located circumferentially at a fixed radius. A pressurized cylindrical cavity located at the bottom of the vessel at its centerline provided the loading.
Designing Closed-Ended Questions into Open-Ended Questions to Support Student’s Creative Thinking Skills and Mathematical Communication Skills

The ability of creative thinking and mathematical communication is important in learning mathematics. However, in fact mathematics learning in schools today has not shown an optimal effort to help students develop creative thinking skills and mathematical communication skills. The purpose of this study is to examine the use of open-ended questions in mathematics learning and in the evaluation of mathematics learning to support the ability of creative thinking and mathematical communication skills of students, this will be implemented in the perspective of literature review. The type of research used is a systematic and structured literature review, where researchers synthesize relevant study results from international and national literature through Google Scholar, Eric, DOAJ, Scopus and ScienceDirect. Based on the analysis results obtained that mathematical learning using open-ended questions is effectively used to support the ability of creative thinking and mathematical communication skills of students; the provision of open-ended questions can be familiarized with providing learning methods leading to an open-ended approach; the test in the form of open-ended questions can be used as a tool to measure the ability of creative thinking and mathematical communication skills of students; the use of open-ended question can be applied to all levels of education; and the need for high creativity from teachers to prepare learning by applying open-ended questions.
Accident Detection and Alert System

One of the primary causes of car accidents is speed. Many lives could have been saved if emergency personnel had received accident information in time and arrived. This project is about an accident detection system that uses several components and alerts the Rescue team for assistance when an accident occurs. An efficient automatic accident detection system with automatic reporting of the accident location to emergency services is critical for saving valuable human life. The suggested system is concerned with accident detection and alerting. It determines the precise latitude and longitude of the vehicle involved in the collision and transmits this information to the nearest emergency response provider. The project's purpose is to detect accidents and warn the rescue crew in real time
Characterization and Short-Term Outcome of Potential Celiac Disease in Children

Background and Objectives: Potential Celiac Disease (PCD) is defined by positive celiac serology without villous atrophy. We aimed to describe the short-term outcome of pediatric PCD while consuming a gluten-containing diet (GCD). Materials and Methods: Retrospective analysis of pediatric PCD patients continuing GCD, between December 2018–January 2022. Baseline demographics, celiac serology and duodenal biopsy results were reviewed. Follow-up data included repeated serology and biopsy results when performed. Minimum follow-up was 12 months unless celiac disease (CeD) was diagnosed earlier. Results: PCD was diagnosed in 90 children (71% females) with a mean age of 7.2 (range 1.8–16.5) years. Baseline anti-tissue transglutaminase (TTG) levels were above 10 times the upper limit of normal (ULN) in 17/90 (18.9%), 3–10 × ULN in 56/90 (62.2%) and 1–3 × ULN in 17/90 (18.9%). During follow-up, the mean time was 17.6 (range 5–35) months, TTG normalized in 34/90 (37.8%), was stable in 48/90 (53.3%), and increased or remained >10 × ULN in 8/90 (8.9%). In 20/90 (22.2%) patients, a repeat endoscopy was performed, leading to CeD diagnosis in 12/20 (60%). Thus, at the end of follow-up, CeD was diagnosed in 12/90 (13.3%). In patients with TTG >10 × ULN at diagnosis, TTG normalized in 5/17, decreased to 3–10 × ULN in 8/17, and remained above 10 × ULN in 4/17. Conclusions: During the short-term follow-up of pediatric PCD patients, less than 15% progressed to CeD. A third had normalized TTG levels, including children with TTG >10 × ULN, indicating the need for periodic serological and histological follow-up among PCD patients.
Rapid 3D Phase Contrast Magnetic Resonance Angiography through High-Moment Velocity Encoding and 3D Parallel Imaging

Phase contrast magnetic resonance angiography (PCMRA) is a non-invasive imaging modality that is capable of producing quantitative vascular ow velocity information. The encoding of velocity information can signi cantly increase the imaging acquisition and reconstruction durations associated with this technique. The purpose of this work is to provide mechanisms for reducing the scan time of a 3D phase contrast exam, so that hemodynamic velocity data may be acquired robustly and with a high sensitivity. The methods developed in this work focus on the reduction of scan duration and reconstruction computation of a neurovascular PCMRA exam. The reductions in scan duration are made through a combination of advances in imaging and velocity encoding methods. The imaging improvements are explored using rapid 3D imaging techniques such as spiral projection imaging (SPI), Fermat looped orthogonally encoded trajectories (FLORET), stack of spirals and stack of cones trajectories. Scan durations are also shortened through the use and development of a novel parallel imaging technique called Pretty Easy Parallel Imaging (PEPI). Improvements in the computational efciency of PEPI and in general MRI reconstruction are made in the area of sample density estimation and correction of 3D trajectories. A new method of velocity encoding is demonstrated to provide more e cient signal to noise ratio (SNR) gains than current state of the art methods. The proposed velocity encoding achieves improved SNR through the use of high gradient moments and by resolving phase aliasing through the use measurement geometry and non-linear constraints.
The Relationship between Transformational Leadership and Preschool Teachers' Job Burnout: the Chain Mediating Effect of Regulatory Emotional Self-efficacy and Work Engagement

: This study aims to explore the relationship between transformational leadership and job burnout among preschool teachers, as well as the chain mediating role of regulatory emotional self-efficacy and work engagement in this relationship. A cross-sectional survey was conducted with a sample of preschool teachers to collect data on transformational leadership, regulatory emotional self-efficacy, work engagement, and job burnout. The results indicate that transformational leadership negatively predicts job burnout among preschool teachers. Regulatory emotional self-efficacy and work engagement were found to partially mediate the relationship between transformational leadership and job burnout, respectively. Moreover, transformational leadership indirectly predicts job burnout through the chain mediation of regulatory emotional self-efficacy and work engagement.
The Role of Knowledge Management on Employees' Work Performance

The purpose of the study is to identify the effect of knowledge management on work performance, and identify the association between knowledge management, work performance, and socio-demographic characteristics of the sample study. The study is a descriptive cross-sectional design done in the health sector in Erbil city in Iraq. The study begins on 20.10. 2022 to 25.12. 2022. The estimated sample was 187 participants. Data collection was done by using a questionnaire, asking 30 questions as follows; 4 items for socio-demographics, 16 items for knowledge management, and 10 items for work performance. The findings of the study indicated that there was a positive effect of knowledge management on work performance, and there was a strong relationship between them. There was a significant association between age, education level, monthly income, and knowledge management. Also, there was a significant association between gender and work performance. While there was no significant association between gender and knowledge management. Also, age, education level, monthly income, and work performance. The result of the present study recommended that; to ensure that their knowledge management strategies are in line with their overarching aims and objectives, organizations should clearly articulate them. Also, organizations should foster an environment that promotes employee collaboration and knowledge sharing, and organizations should place a high priority on learning and development by providing employees with training and development opportunities that help them gain new knowledge and skills.