Miracle-dz/UniFAR-FTUs huggingface dataset:
Training History-Dependent Functional Role of EMG Model-Predicted Antagonist Moments in Knee Extensor Moment Generation in Healthy Young Adults

Resistance training (RT) improves the skeletal muscle’s ability to generate maximal voluntary force and is accompanied by changes in the activation of the antagonist muscle which is not targeted primarily by RT. However, the nature and role of neural adaptation to RT in the antagonist muscle is paradoxical and not well understood. We compared moments, agonist muscle activation, antagonist activation, agonist-antagonist coactivation, and electromyographic (EMG) model-predicted moments generated by antagonist hamstring muscle coactivation during isokinetic knee extension in leg strength-trained (n = 10) and untrained (n = 11) healthy, younger adults. Trained vs. untrained adults were up to 58% stronger. During knee extension, hamstring activation was 1.6-fold greater in trained vs. untrained adults (p = 0.022). This hamstring activation produced 2.6-fold greater model-predicted antagonist moments during knee extension in the trained (42.7 ± 19.55 Nm) vs. untrained group (16.4 ± 12.18 Nm; p = 0.004), which counteracted (reduced) quadriceps knee extensor moments ~43 Nm (0.54 Nm·kg−1) and by ~16 Nm (0.25 Nm·kg−1) in trained vs. untrained. Antagonist hamstring coactivation correlated with decreases and increases, respectively, in quadriceps moments in trained and untrained. The EMG model-predicted antagonist moments revealed training history-dependent functional roles in knee extensor moment generation.
OSGi Service Gateway Specification 1.0에 기반을 둔 홈 오토메이션 컨트롤러용 개방형 서비스 게이트웨이의 구현

홈 네트워킹에 대한 관심이 높아지며 이를 실현하는데 필요한 Residential Home Gateway를 구현하기 위해 2000년 5월 OSGi에서 Open Service Gateway Specification을 발표했다. 본 논문에서는 이에 따른 Home Automation Controller를 구현하기 위한 방법을 논하고 있다. 먼저 Home Automation Controller의 개념에 대해서 알아보고 OSGi의 배경과 Open Service Gateway Specification의 내용을 살펴본다. 그리고 specification에 따른 Home Automation Controller용 개방형 서비스 게이트웨이를 구현하는 방법에 대해 고찰해 본다.
Distributed Finite Memory Estimation From Relative Measurements for Multiple-Robot Localization in Wireless Sensor Networks

Mobile robot localizations have been extensively studied, and various algorithms for multiple-robot localization have been developed. However, existing methods for multiple-robot localization often exhibit poor performance under harsh conditions, such as missing measurements and sudden appearance of obstacles. To overcome this problem, this paper proposes a novel method for multiple-robot localization in wireless sensor networks. The proposed method is theoretically based on the finite memory estimation and utilizes relative distance and angle measurements between robots. Thus, the proposed method is referred to as distributed finite memory estimation from relative measurements (DFMERM). Due to the finite memory structure, the DFMERM has inherent robustness against computational and modeling errors. Moreover, the novel distributed localization method using relative measurements shows the robustness against missing measurements. Robust DFMERM localization performance is experimentally demonstrated using multiple mobile robots under the harsh conditions.
Overview of 3D-Printed Silica Glass

Not satisfied with the current stage of the extensive research on 3D printing technology for polymers and metals, researchers are searching for more innovative 3D printing technologies for glass fabrication in what has become the latest trend of interest. The traditional glass manufacturing process requires complex high-temperature melting and casting processes, which presents a great challenge to the fabrication of arbitrarily complex glass devices. The emergence of 3D printing technology provides a good solution. This paper reviews the recent advances in glass 3D printing, describes the history and development of related technologies, and lists popular applications of 3D printing for glass preparation. This review compares the advantages and disadvantages of various processing methods, summarizes the problems encountered in the process of technology application, and proposes the corresponding solutions to select the most appropriate preparation method in practical applications. The application of additive manufacturing in glass fabrication is in its infancy but has great potential. Based on this view, the methods for glass preparation with 3D printing technology are expected to achieve both high-speed and high-precision fabrication.
Recombinase Polymerase Amplification assays for detection of the major tropical root-knot nematodes

Abstract Detection of root-knot nematodes (RKN) in soil and plant samples is crucial to prevent its spread and select effective control measures. In this study, Recombinase Polymerase Amplification (RPA) assays using lateral flow dipsticks (LF-RPA) and real-time fluorescence detection (real-time RPA) were developed to detect the RKN species from tropical complex using a group-specific primer-probe set and Meloidogyne javanica using a species-specific primer-probe set. The results of the real time RPA assays in series of crude nematode extracts showed reliable detection within 16 min with a sensitivity of 1/100 of a second-stage juvenile in a reaction tube. The results of the LF-RPA assays showed reliable detection within 30 min with a sensitivity of 1/20 to 1/100 of a second-stage juvenile and 1/10 of a female in a reaction tube. Real-time RPA and LF-RPA assays are highly specific and can identify their target DNA in mixtures with other nematodes and plant tissues. LF-RPA assay has great potential for diagnosing RKN in the lab, field or in areas with a minimal laboratory infrastructure.
Improving the Thermostability of a Fungal GH11 Xylanase via Fusion of a Submodule (C2) from Hyperthermophilic CBM9_1-2

Xylanases have been applied in many industrial fields. To improve the activity and thermostability of the xylanase CDBFV from Neocallimastix patriciarum (GenBank accession no. KP691331), submodule C2 from hyperthermophilic CBM9_1-2 was inserted into the N- and/or C-terminal regions of the CDBFV protein (producing C2-CDBFV, CDBFV-C2, and C2-CDBFV-C2) by genetic engineering. CDBFV and the hybrid proteins were successfully expressed in Escherichia coli BL21 (DE3). Enzymatic property analysis indicates that the C2 submodule had a significant effect on enhancing the thermostability of the CDBFV. At the optimal temperature (60.0 °C), the half-lives of the three chimeras C2-CDBFV, CDBFV-C2, and C2-CDBFV-C2 are 1.5 times (37.5 min), 4.9 times (122.2 min), and 3.8 times (93.1 min) longer than that of wild-type CDBFV (24.8 min), respectively. More importantly, structural analysis and molecular dynamics (MD) simulation revealed that the improved thermal stability of the chimera CDBFV-C2 was on account of the formation of four relatively stable additional hydrogen bonds (S42-S462, T59-E277, S41-K463, and S44-G371), which increased the protein structure’s stability. The thermostability characteristics of CDBFV-C2 make it a viable enzyme for industrial applications.
Improving System Performance with eGaN® FETs in DC-DC Applications

The intermediate bus architecture (IBA) is currently the most popular power system architecture in computing and telecommunications equipment. It typically consists of a +48 V system power distribution bus that feeds on-board isolated converters, which in turn supply power to a 12 V power bus. From the 12 V power bus, the final power is delivered to the end loads by regulated non-isolated point of load (POL) converters. In this paper we demonstrate substantial system gains using enhancement mode gallium nitride power transistors in high frequency isolated and non-isolated DC-DC converters. These transistors, also known as eGaN® FETs, have been commercially available for over three years and are making significant inroads replacing the aging silicon power MOSFET.
Estradiol Signaling at the Heart of Folliculogenesis: Its Potential Deregulation in Human Ovarian Pathologies

Estradiol (E2) is a major hormone controlling women fertility, in particular folliculogenesis. This steroid, which is locally produced by granulosa cells (GC) within ovarian follicles, controls the development and selection of dominant preovulatory follicles. E2 effects rely on a complex set of nuclear and extra-nuclear signal transduction pathways principally triggered by its nuclear receptors, ERα and ERβ. These transcription factors are differentially expressed within follicles, with ERβ being the predominant ER in GC. Several ERβ splice isoforms have been identified and display specific structural features, which greatly complicates the nature of ERβ-mediated E2 signaling. This review aims at providing a concise overview of the main actions of E2 during follicular growth, maturation, and selection in human. It also describes the current understanding of the various roles of ERβ splice isoforms, especially their influence on cell fate. We finally discuss how E2 signaling deregulation could participate in two ovarian pathogeneses characterized by either a follicular arrest, as in polycystic ovary syndrome, or an excess of GC survival and proliferation, leading to granulosa cell tumors. This review emphasizes the need for further research to better understand the molecular basis of E2 signaling throughout folliculogenesis and to improve the efficiency of ovarian-related disease therapies.
Thermal Shift Assay as a Tool to Evaluate the Release of Breakdown Peptides from Cowpea β-Vignin during Seed Germination

The present work aimed to characterize the molecular relationships between structure and function of the seed storage protein β-vignin, the vicilin storage protein of cowpea (Vigna unguiculata, l. Walp) seeds. The molecular characterization of β-vignin was carried out firstly by assessing its thermal stability, under different conditions of pH and ionic strength, by thermal shift assay (TSA) using SYPRO Orange fluorescent dye. Secondly, its aggregation propensity was evaluated using a combination of chromatographic and electrophoretic techniques. Two forms of β-vignin were considered: the native form purified from mature quiescent seeds, and a stable breakdown intermediate of 27 kDa produced while seeds germinate. TSA is a useful tool for determining and following over time the structural changes that occur to the protein during germination. The main result was the molecular characterization of the 27 kDa intermediate breakdown polypeptide, which, to the best of our knowledge, has never been described before. β-vignin seems to retain its trimeric conformation despite the evident degradation of its polypeptides.
Future Networks With Wireless Power Transfer and Energy Harvesting

reality through several commercial products and standards (Wireless Power Consortium, Power Matters Alliance, Alliance for Wireless Power, and Rezence). Far-field wireless power transfer (WPT) and wireless energy harvesting (WEH) via RF (as in wireless communications) on the other hand could be used for a longer range. Although it has long been seen as a potential for powering low-power devices, it is only recently that wireless (via RF) power has been recognized as a promising technology to cope with the explosion of low-power devices This month’s special issue provides an overview of the state-of-the-art technology and theory for future networks with wireless power transfer and energy harvesting.
Study on the winding quality for spiral HTS cables based on AI detection model

The development of high-temperature superconducting (HTS) conductors is leading to diverse structural designs of HTS cables. (RE)Ba2Cu3O x (REBCO) tapes using spiral geometry has been a popular compact HTS cable structure, which is in the critical stage of engineering production and application. However, the winding quality of REBCO tapes is unstable for spiral HTS cables, because of the different winding methods like manual winding, device-assisted winding, or automatic winding. Although automatic winding will be the first choice for the actual applications by spiral HTS cables, the related winding quality is not monitored effectively yet. In this paper, we first discuss the possible influence of the winding quality on the critical current performance of spiral HTS cables. Then, an artificial intelligence (AI) based method is implemented to realize the detection model for the winding quality. From image data preparation to AI detection and postprocessing, the detection model provides the final results to show the winding intervals as a binary image. Through the intuitive analysis and the evaluation metrics, both error and correct winding conditions obtain acceptable detection results, and the correct one has a better performance. The identification of the winding intervals will help to determine the monitoring strategy for the spiral HTS cable fabrication.
Comparative Whole-Genome Analysis of Russian Foodborne Multidrug-Resistant Salmonella Infantis Isolates

Non-typhoidal Salmonella infections remain a significant public health problem worldwide. In this study, we present the first detailed genomic analysis report based on short-read (Illumina) whole-genome sequencing (WGS) of 45 multidrug-resistant (MDR) Salmonella enterica subsp. enterica serotype Infantis isolates from poultry and meat product samples obtained in Russia during 2018–2020, and long-read (MinION) WGS of five more representative isolates. We sought to determine whether foodborne S. Infantis have acquired new characteristics, traits, and dynamics in MDR growth in recent years. All sequenced isolates belonged to the sequence type ST32 and more than the half of isolates was characterized by six similar antimicrobial susceptibility profiles, most of which corresponded well with the antimicrobial resistance determinants to aminoglycosides, sulphonamides, tetracycline, and chloramphenicol revealed in silico. Some of the isolates were characterized by the presence of several types of plasmids simultaneously. Plasmid typing using WGS revealed Col440I, ColpVC, ColRNAI, IncFIB, IncFII, IncX1, IncHI2, IncHI2A, and IncN replicons. The identified virulence genes for 45 whole genomes of S. Infantis were similar and included 129 genes encoding structural components of the cell, factors responsible for successful invasion of the host, and secreted products. These data will be a valuable contribution to further comparative genomics of S. Infantis circulating in Russia, as well as to epidemiological surveillance of foodborne Salmonella isolates and investigations of Salmonella outbreaks.
Defect Passivation and Carrier Reduction Mechanisms in Hydrogen-Doped In-Ga-Zn-O (IGZO:H) Films upon Low-Temperature Annealing for Flexible Device Applications

Low-temperature activation of oxide semiconductor materials such as In-Ga-Zn-O (IGZO) is a key approach for their utilization in flexible devices. We previously reported that the activation temperature can be reduced to 150 °C by hydrogen-doped IGZO (IGZO:H), demonstrating a strong potential of this approach. In this paper, we investigated the mechanism for reducing the activation temperature of the IGZO:H films. In situ Hall measurements revealed that oxygen diffusion from annealing ambient into the conventional Ar/O2-sputtered IGZO film was observed at >240 °C. Moreover, the temperature at which the oxygen diffusion starts into the film significantly decreased to 100 °C for the IGZO:H film deposited at hydrogen gas flow ratio (R[H2]) of 8%. Hard X-ray photoelectron spectroscopy indicated that the near Fermi level (EF) defects in the IGZO:H film after the 150 °C annealing decreased in comparison to that in the conventional IGZO film after 300 °C annealing. The oxygen diffusion into the film during annealing plays an important role for reducing oxygen vacancies and subgap states especially for near EF. X-ray reflectometry analysis revealed that the film density of the IGZO:H decreased with an increase in R[H2] which would be the possible cause for facilitating the O diffusion at low temperature.
SuSy-EnGaD: Surveillance System Enhanced by Games of Drones

In this article, we propose SuSy-EnGaD, a surveillance system enhanced by games of drones. We propose three different approaches to optimise a swarm of UAVs for improving intruder detection, two of them featuring a multi-objective optimisation approach, while the third approach relates to the evolutionary game theory where three different strategies based on games are proposed. We test our system on four different case studies, analyse the results presented as Pareto fronts in terms of flying time and area coverage, and compare them with the single-objective optimisation results from games. Finally, an analysis of the UAVs trajectories is performed to help understand the results achieved.
The Mycobacterium tuberculosis PE_PGRS Protein Family Acts as an Immunological Decoy to Subvert Host Immune Response

Mycobacterium tuberculosis (M.tb) is a successful pathogen that can reside within the alveolar macrophages of the host and can survive in a latent stage. The pathogen has evolved and developed multiple strategies to resist the host immune responses. M.tb escapes from host macrophage through evasion or subversion of immune effector functions. M.tb genome codes for PE/PPE/PE_PGRS proteins, which are intrinsically disordered, redundant and antigenic in nature. These proteins perform multiple functions that intensify the virulence competence of M.tb majorly by modulating immune responses, thereby affecting immune mediated clearance of the pathogen. The highly repetitive, redundant and antigenic nature of PE/PPE/PE_PGRS proteins provide a critical edge over other M.tb proteins in terms of imparting a higher level of virulence and also as a decoy molecule that masks the effect of effector molecules, thereby modulating immuno-surveillance. An understanding of how these proteins subvert the host immunological machinery may add to the current knowledge about M.tb virulence and pathogenesis. This can help in redirecting our strategies for tackling M.tb infections.
Information Overload: Causes, Consequences and Remedies - A Study

Information overload, usually characterized by an over abundance of information, is a major cause of concern for general information users, researchers and information managers. With the advent of new technological innovations, the rate of information production has accelerated rapidly. Consequently, people are suffering from an ‘information glut’, which makes it difficult for them to find the required information quickly and conveniently from various print, electronic and online sources. The paper analyzed the causes and causes of information overload in the 21 st century and puts forward suggestions for overcoming this problem. It stresses the importance of concerted efforts from information professionals, computer scientists and academics to devise techniques and technologies for countering the effects of information overload. Philosophy and Progress, Vol#55-56; No#1-2; Jan-Dec 2014
How does network position influence project performance in Chinese megaprojects? An inter-organizational conflict-based perspective

Purpose This study aims to explore the relationship between network position, various types of inter-organizational conflicts and project performance in the context of megaprojects. Design/methodology/approach Centrality and structural holes were used to represent network position. A theoretical model was developed, and a structured questionnaire survey was conducted with construction professionals involved in megaprojects. A total of 291 valid responses were obtained, which were analyzed via structural equation modeling. Findings The results showed that centrality negatively impacts project performance, while structural holes do not significantly impact project performance. Centrality negatively affects task conflicts, but positively affects process conflicts and relationship conflicts. Structural holes positively impact task conflicts, but negatively impact both process conflicts and relationship conflicts. Task conflict and relationship conflict exert constructive and destructive effects on project performance, respectively, while process conflict does not significantly impact project performance. Task conflict and relationship conflict play mediating roles. Task conflict weakens while relationship conflict strengthens the relationship between centrality and project performance. Task conflict strengthens while relationship conflict weakens the relationship between structure hole and project performance. Research limitations/implications This study provides a reference for the implementation of network governance, inter-organizational conflict management and project performance management in megaprojects. However, the impact of dynamic changes of inter-organizational conflicts and network position on project performance has not been discussed in the context of megaprojects. Future research may explore the impact of dynamic changes of conflicts and network position on project implementation. Originality/value This study increases the current understanding of the impact of network position on project performance. Moreover, a new direction for network governance in the context of megaprojects is provided. This study also verified both the constructive and destructive effects of conflicts and the mediating role they play, thus supplementing the literature on inter-organizational conflict management in the construction field.
One-matching bi-Cayley graphs and homogeneous bi-Cayley graphs over finite cyclic groups

In this paper, we characterize when t-type one-matching (respectively, homogeneous) bi-Cayley graphs over finite cyclic groups are integral. We also give a necessary and sufficient condition for some integral t-type one-matching (respectively, homogeneous) bi-Cayley graphs over finite cyclic groups of prime power order to be Ramanujan.
Factors affecting industrial learning on interrupted production schedules

How does one apply learning curves to operators who work on an interrupted production schedule by which they might build small quantities of several assemblies each production period? What are the effects of interruptions? What factors influence the effect of an interruption on an operator working on a particular assembly? How does an operator perform following an interruption? Questions of this nature prompted the theoretical development and ensuing research reported herein. After investigating several concepts and characteristics of learning curves, the investigator developed a theoretical model of interrupted learning and the requisite hypotheses to test that model. An industrial experimental design to test the model was presented along with the abbreviated laboratory experimental design actually investigated. From a washer-pegboard assembly task involving twenty-five experimental subjects who took breaks of one-half, two, four, and sixteen hours in the course of working fifty cycles, this investigator was not able to determine whether a break was helpful or harmful. Thus, a complete investigation of the theoretical model was not possible. However, studying the effects of break length and the number of -units built prior to a break on the magnitude of the break, it was found that the length of the break was a significant factor at the . 01 level of significance and that the effects of each break length differed from each other at the . 05" level of significance.