Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of different manipulations of the cluster-set method on training volume and time under tension in resistance training men

Objective: To compare the acute effect of two training protocols until concentric failure (CF) with different intra-set interval (ISI) configurations (20 s and 40 s) on total weight, the total number of repetitions, and time under tension in trained subjects. Methods: Ten men participated in the study (age = 25.1 ± 4.4 years; body mass = 76.5 ± 10.4 kg; height = 175.8 ± 9.3 cm). Two protocols were performed with 4 sets of bench press exercises and differentiated by the ISI: i) Protocol ISI-40 (40 s) - each set consisted of 6 repetitions followed by an ISI of 40 s and completed with repetitions up to CF; ii) Protocol ISI-20 (20 s) - each set consisted of 6 repetitions with ISI of 20 s every 3 repetitions followed by repetitions to CF. The intensity was 10 repetitions maximum, and the rest interval between sets of 80 s. A minimum interval of 48 h was adopted between protocols. Results: There was no significant difference in the number of repetitions (p = 0.074), in the time under tension (p = 0.353) and in the total volume (p = 0.083) between the protocols. Conclusion: The results indicate that the different ISI configurations did not distinctly influence the number of repetitions, time under tension, and total volume.
The Use of Gamification for Pre-Recruitment System in Tax Consulting Company

The increasing need for employees who are experts in the IT field, or commonly referred to as digital talent, is a new challenge for the human resources department in the era of digital transformation. The results of interviews and observations conducted at a tax consulting company show that the HR department does not have a definite procedure for measuring the technical capabilities of IT candidates. Because technology is always changing and evolving, it is difficult to locate someone who is already conversant with the most current technologies and techniques. Assessing a candidate's genuine potential is more difficult than merely reading it on a CV or asking, "can you accomplish this? " or "do you have this trait? " Previous research indicates that the majority of candidates lie about themselves on their resumes and hiring managers just don't care. Having a qualified digital talent is critical while the tax company undergoes digital transformation. With Gen Z and millennials as recruitment targets, this study proposes a solution by designing a gamification using the MDE framework. Gamification has been shown to be effective in attracting and assessing fresh talent throughout the recruiting process. The purpose of this study is to investigate how gamification might attract skilled IT applicants while avoiding errors in judging their genuine potential.
Gian-Carlo Rota on combinatorics : introductory papers and commentaries

In this volume, the editor presents reprints of most of the fundamental papers of Gian-Carlo Rota in the classical core of cominatorics. These include Part I, III, IV, VI and VII of the Foundation series on Mobius fuction, polynomials of binomial type, counting in vector spaces, generating functions and symmetric functions. Also reprinted are papers which are derived or related to the themes explored in these central papers. Rota's work, starting with the paper, "On the Foundations of Combinatorial Theory: I - Theory of Mobius Functions" (1964) has revolutionized the way we approach combinatorics; this volume is intended to be an introduction to his way of thinking about that subject. Kung has provided a substantial amount of new material on the impact that Rota's papers have had on combinatorics. Extensive survey articles are included in each chapter to guide the reader, both to the reprinted papers and to the works of others which have been inspired by these papers. There are also four prefatory essays describing Rota's special influence on combinatorics, particularly at the historical Bowdoin conference in 1970. This book is intended for experts as well as beginning graduate students (particularly as a source for research problems).
Computation of transonic separated wing flows using an Euler/Navier-Stokes zonal approach

A computer program called Transonic Navier Stokes (TNS) has been developed which solves the Euler/Navier-Stokes equations around wings using a zonal grid approach. In the present zonal scheme, the physical domain of interest is divided into several subdomains called zones and the governing equations are solved interactively. The advantages of the Zonal Grid approach are as follows: (1) the grid for any subdomain can be generated easily; (2) grids can be, in a sense, adapted to the solution; (3) different equation sets can be used in different zones; and, (4) this approach allows for a convenient data base organization scheme. Using this code, separated flows on a NACA 0012 section wing and on the NASA Ames WING C have been computed. First, the effects of turbulence and artificial dissipation models incorporated into the code are assessed by comparing the TNS results with other CFD codes and experiments. Then a series of flow cases is described where data are available. The computed results, including cases with shock-induced separation, are in good agreement with experimental data. Finally, some futuristic cases are presented to demonstrate the abilities of the code for massively separated cases which do not have experimental data.
Theory of the anomalous hall effect in the insulating regime

Theory of the Anomalous Hall Effect in the Insulating Regime. (August 2011 ) Xiongjun Liu, B.S., Nankai University; M.S., Nankai University Chair of Advisory Committee: Dr. Jairo Sinova The Hall resistivity in ferromagnetic materials has an anomalous contribution proportional to the magnetization, which is defined as the anomalous Hall effect (AHE). Being a central topic in the study of ferromagnetic materials for many decades, the AHE was revived in recent years by generating many new understandings and phenomena, e.g. spin-Hall effect, topological insulators. The phase diagram of the AHE was shown recently to exhibit three distinct regions: a skew scattering region in the high conductivity regime, a scattering-independent normal metal regime, and an insulating regime. While the origin of the metallic regime scaling has been understood for many decades through the expected dependence of each contribution, the origin of the surprising scaling in the insulating regime was completely unexplained, leaving the primary challenge to the last step to understand fully the AHE. In this dissertation work we developed a theory to study the AHE in the disordered insulating regime, whose scaling relation is observed to be σ xy ∝ σ1. 40∼1.75 xx in a large range of materials. This scaling is qualitatively different from the ones observed in metals. In the metallic regime where kF l≫ 1, the linear response theory predicts that σxx is proportional to the quasi-particle lifetime τ , while σ AH xy scales as ατ + βτ , indicating that the upper limit of the scaling exponent is 1.0. Basing our theory on the phonon-assisted hopping mechanism and percolation theory, we derived a general formula for the anomalous Hall conductivity (AHC), and showed that the AHC scales with the longitudinal conductivity as σ xy ∼ σ xx with γ predicted to be 1.33 ≤ γ ≤ 1.76, quantitatively in agreement with the experimental observations.
Dual-Band Antenna With Omni/Unidirectional Radiation Realized by Single Metal Plate

This letter proposes a novel dual-band antenna realized by single metal plate. The basic antenna structure is a λ/2 dipole with omnidirectional radiation pattern, operating at 1.4 GHz. To obtain a second working band with directional radiation, this dipole is folded, therefore forming an open-end slot in-between its two arms, serving as a magnetic dipole. Then, by properly exciting these two dipoles with 90° phase difference in time domain, the inherent 90° phase difference formed between the slot and the electric dipole is cancelled. As a result, cardioid radiation pattern is obtained at 3.7 GHz. The measured results show that an impedance bandwidth of 10.3% and 18.1% is achieved at these two bands, respectively, with omnidirectional radiation pattern at 1.4 GHz band, and unidirectional radiation with at 3.7 GHz with wide beamwidth.
PU-DetNet: Deep Unfolding Aided Smart Sensing Framework for Cognitive Radio

Spectrum sensing in cognitive radio (CR) paradigm can be broadly categorized as analytical-based and data-driven approaches. The former is sensitive to model inaccuracies in evolving network environment, while the latter (machine learning (ML)/deep learning (DL) based approach) suffers from high computational cost. For devices with low computational abilities, such approaches could be rendered less useful. In this context, we propose a deep unfolding architecture namely the Primary User-Detection Network (PU-DetNet) that harvests the strength of both: analytical and data-driven approaches. In particular, a technique is described that reduces computation in terms of inference time and the number of floating point operations (FLOPs). It involves binding the loss function such that each layer of the proposed architecture possesses its own loss function whose aggregate is optimized during training. Compared to the state-of-the-art, experimental results demonstrate that at SNR $= -10$ dB, the probability of detection is significantly improved as compared to the long short term memory (LSTM) scheme (between 39% and 56%), convolutional neural network (CNN) scheme (between 45% and 84%), and artificial neural network (ANN) scheme (between 53% and 128%) over empirical, 5G new radio, DeepSig, satellite communications, and radar datasets. The accuracy of proposed scheme also outperforms other existing schemes in terms of the F1-score. Additionally, inference time reduces by 91.69%, 90.90%, and 93.15%, while FLOPs reduces by 62.50%, 56.25%, 64.70% w.r. t. LSTM, CNN and ANN schemes, respectively. Moreover, the proposed scheme also shows improvement in throughput by 56.39%, 51.23%, and 69.52% as compared to LSTM, CNN and ANN schemes respectively, at SNR $= -6$ dB.
Flexible Electro‐Optical Arrays for Simultaneous Multi‐Site Colocalized Spatiotemporal Cardiac Mapping and Modulation

Bioelectronic devices that allow simultaneous accurate monitoring and control of the spatiotemporal patterns of cardiac activity provide an effective means to understand the mechanisms and optimize therapeutic strategies for heart disease. Optogenetics is a promising technology for cardiac research due to its advantages such as cell‐type selectivity and high space‐time resolution, but its efficacy is limited by the insufficient number of modulation channels and lack of simultaneous spatiotemporal mapping capabilities in current implantable cardiac optogenetics tools available for in vivo investigations. Here, soft implantable electro‐optical cardiac devices integrating multilayered highly uniform arrays of transparent microelectrodes and multicolor light‐emitting diodes in thin, flexible platforms are designed for mechanically compliant high‐content high‐precision electrical mapping and single‐/multi‐site optogenetics and electrical stimulation without light‐induced artifacts. Systematic benchtop characterizations, together with ex vivo and in vivo evaluations on healthy and diseased small animal hearts and human cardiac slices demonstrate their functionalities in real‐time spatiotemporal mapping and control of cardiac rhythm and function, with broad applications in basic and ultimately clinical cardiology.
Transition‐metal dichalcogenides for spintronic applications

Spin‐orbit splitting in transition‐metal dichalcogenide monolayers is investigated on the basis of density‐functional theory within explicit two‐dimensional periodic boundary conditions. The spin‐orbit splitting reaches few hundred meV and increases with the size of the metal and chalcogen atoms, resulting in nearly 500 meV for WTe2. Furthermore, we find that similar to the band gap, spin‐orbit splitting changes drastically under tensile strain. In centrosymmetric transition metal dichalcogenide bilayers, spin‐orbit splitting is suppressed by the inversion symmetry. However, it could be induced if the inversion symmetry is explicitly broken, e.g. by a potential gradient normal to the plane, as it is present in heterobilayers (Rashba‐splitting). In such systems, the spin‐orbit splitting could be as large as for the heavier monolayer that forms heterobilayer. These properties of transition metal dichalcogenide materials suggest them for potential applications in opto‐, spin‐ and straintronics.
Fyn Signaling in Ischemia-Reperfusion Injury: Potential and Therapeutic Implications

Ischemic stroke caused by arterial occlusion is the most common type of stroke and is one of the leading causes of disability and death, with the incidence increasing each year. Fyn is a nonreceptor tyrosine kinase belonging to the Src family of kinases (SFKs), which is related to many normal and pathological processes of the nervous system, including neurodevelopment and disease progression. In recent years, more and more evidence suggests that Fyn may be closely related to cerebral ischemia-reperfusion, including energy metabolism disorders, excitatory neurotoxicity, intracellular calcium homeostasis, free radical production, and the activation of apoptotic genes. This paper reviews the role of Fyn in the pathological process of cerebral ischemia-reperfusion, including neuroexcitotoxicity and neuroinflammation, to explore how Fyn affects specific signal cascades and leads to cerebral ischemia-reperfusion injury. In addition, Fyn also promotes the production of superoxide and endogenous NO, so as to quickly react to produce peroxynitrite, which may also mediate cerebral ischemia-reperfusion injury, which is discussed in this paper. Finally, we revealed the treatment methods related to Fyn inhibitors and discussed its potential as a clinical treatment for ischemic stroke.
Computational identification of signals predictive for nuclear RNA exosome degradation pathway targeting

Abstract The RNA exosome degrades transcripts in the nucleoplasm of mammalian cells. Its substrate specificity is mediated by two adaptors: the ‘nuclear exosome targeting (NEXT)’ complex and the ‘poly(A) exosome targeting (PAXT)’ connection. Previous studies have revealed some DNA/RNA elements that differ between the two pathways, but how informative these features are for distinguishing pathway targeting, or whether additional genomic features that are informative for such classifications exist, is unknown. Here, we leverage the wealth of available genomic data and develop machine learning models that predict exosome targets and subsequently rank the features the models use by their predictive power. As expected, features around transcript end sites were most predictive; specifically, the lack of canonical 3′ end processing was highly predictive of NEXT targets. Other associated features, such as promoter-proximal G/C content and 5′ splice sites, were informative, but only for distinguishing NEXT and not PAXT targets. Finally, we discovered predictive features not previously associated with exosome targeting, in particular RNA helicase DDX3X binding sites. Overall, our results demonstrate that nucleoplasmic exosome targeting is to a large degree predictable, and our approach can assess the predictive power of previously known and new features in an unbiased way.
The Impact of the 4.0 Paradigm in the Italian Agricultural Sector: A Descriptive Survey

This paper investigates how much Italian farms are involved in the so-called “Agriculture 4.0” (Agri 4.0) journey. The paper focuses on analyzing the knowledge and adoption levels of specific 4.0-enabling technologies while also considering the main benefits and obstacles. A descriptive survey was carried out on a total of 670 respondents related to agricultural companies of different sizes. The findings from the survey demonstrate that Italian farms are in different positions in their journey toward the Agri 4.0 paradigm, mainly depending on their size in terms of revenues and land size. Furthermore, there are strong differences concerning both the benefits and obstacles related to the adoption of the Agri 4.0 paradigm, here depending on the technology adoption level. Regarding future research, it would be interesting to carry out the same study in other countries to make comparisons and suitable benchmark analyses. Although scholars have debated about the adoption of technologies and the benefits related to the Agri 4.0 paradigm, to the best of the authors’ knowledge, no empirical surveys have been carried out on the adoption level of digital solutions in agriculture in specific countries.
Invertibility of random submatrices via the Non-Commutative Bernstein Inequality

Let $X$ be a $n\times p$ matrix. We provide a detailed study of the quasi isometry property for random submatrices of $X$ obtained by uniform column sampling. The analysis relies on a tail decoupling argument with explicit constants and a recent version of the Non-Commutative Bernstein inequality (NCBI) [14]. Our results complement those obtained in [13] for the moments of submatrices. They also generalize and improve on those in [2], which are based on a Non-Commutative Kahane- Kintchine inequality (NCKI).
Improvement of Signal Reception Reliability at Satellite Spectrum Monitoring System

Extensively increasing numbers of radio electronic devices significantly complicate the electromagnetic situation under conditions of radio frequency spectrum deficiency and require improvement in the functions and mechanisms of spectrum monitoring systems. Today, in the framework of the existing ground-borne spectrum monitoring system, it is impossible to qualitatively perform the functions and problems of spectrum monitoring. Spectrum (radio) monitoring is one of the main techniques for spectrum load estimation to solve problems of perspective management of the radio frequency spectrum with the purpose of developing new radio technologies. Therefore, the problem of improving the effectiveness of spectrum monitoring does not lose relevance. When solving such problems, one of the most important factors is the extraction of an effective signal with background noise and interference. Therefore, the effectiveness of the Kalman filter application for satellite-based radio monitoring systems is considered in this study. The proposed method for detecting radio signals using Kalman filters makes it possible to make correct decisions with high accuracy. The simulation results show that Kalman filters work effectively even at a negative signal-to-noise ratio (90% and higher), adapting to the original signal at different noise dispersions in a noisy signal. It can be concluded that this method can be successfully applied to solve problems of detecting sources of radiation of a certain frequency according to the signal registered by the onboard receiver of the satellite spectrum monitoring system. The influence of the Kalman filter decision-making speed on the results of radio signal processing was estimated.
Wildfire Induces Changes in Receiving Waters: A Review With Considerations for Water Quality Management

Wildfires have increased in frequency in many ecosystems, with implications for human health and the environment, including water quality. Increased fire frequency and urbanization also raise the prospect of fires burning into urban areas, mobilizing pollutants few have considered to date. As a result, water quality managers lack information to anticipate, respond to and potentially mitigate wildfire impacts. Here, we reviewed the scientific literature to assess wildfire effects on response endpoints of a conceptual model linking fire to water quality, quantifying response directionality, magnitude and duration. Physically, water yield, sediments, and temperature all increased post‐fire. Chemically, nutrients, ions, organic chemicals, and metals increased in burned watersheds, sometimes by orders of magnitude over pre‐fire or reference conditions. In select cases, post‐fire concentrations exceeded aquatic life criteria or drinking water standards, at times even in the finished drinking water. Biological assemblages commonly declined after post‐fire runoff events. The duration of effects was less than 5 yr for most endpoints (e.g., metals) on average following fire, although effects did extend 15 yr or more in some individual cases. We found only a few studies on pollutants mobilized from wildfire impacted urban areas with benzene contamination in drinking water and high metal concentrations in ash prominent exceptions. Overall, this review provides a resource for understanding wildfire impacts on water quality endpoints, with the goal of informing the response of managers and other decision makers to this growing problem.
The Digitalization of Distributor Management System at Pertamina Lubricants: Issues and Solutions on the Implementation Stage

Pertamina Lubricants has stated digital transformation as one of its breakthrough projects to accelerate digitalization as one of its strategic initiatives. This strategic initiative has objectives to enhance channel management and the capability of distributors as strategic business partners to achieve their sales volume target set by the management of Pertamina Lubricants. This journal aims to evaluate and improve the digital distributor management system to help distributors of Pertamina Lubricants achieve their sales volume target.
Automated Semantics and Topology Representation of Residential-Building Space Using Floor-Plan Raster Maps

Automatically representing the semantics and topology of indoor building spaces from floor-plans is necessary for many applications, such as architectural design and indoor renovations. Extensive studies have investigated reconstructing indoor spaces with semantics and topology using professional means (e.g., laser scanning and photogrammetry). Floor-plan raster maps are widely and freely available for various purposes. Nevertheless, there is little research on the semantic and topological representation of indoor elements from floor-plan raster maps. To fill this gap, we propose a method of automatically representing the semantics and topology of indoor spaces from floor-plan raster maps. The proposed method first identifies basic geometric primitives from floor-plans using a learning-based hierarchical segmentation approach. Second, the relationship between the detected geometric primitives is assembled into the planar structure representation with topological data using mixed integer programming. Finally, the floor-plan graph structure is checked and optimized to maintain consistency with a polygonal coordinate descent strategy, resulting in a correct representation of the semantics and topology of the indoor space. Comprehensive evaluations demonstrate that the proposed method effectively achieves superior performance in three different datasets. The proposed method allows for 3D model popups for better visualizations and direct architectural model manipulations of the interior building layouts computation.