Miracle-dz/UniFAR-FTUs huggingface dataset:
Using a Virtual Reality Tool to Provide Primary Prevention Training in the Construction Field Following a Periodic Medical Visit: Cross-Sectional Study

Background The construction field is highly concerned with the risk of work-related accidents, and training employees is difficult due to their small numbers in most companies. Objective This study aimed to study the impact of a virtual reality (VR) training tool following a periodic occupational health medical visit on the feeling of personal effectiveness in preventing occupational risks related to co-activity on a construction site. Methods We conducted a cross-sectional study with employees who had a periodic medical visit between April 1, 2022, and October 13, 2022, in a French occupational health service specializing in the construction field (Services Médicaux Interentreprises Bâtiment Travaux Publics [SMIBTP]). The employees were divided into 2 groups according to the training received: a medical visit alone or coupled with a session with a VR tool. We compared the scores for a “feeling of self-efficacy in occupational risk prevention” using the Fisher exact test. Results Of the 588 employees included, 210 had a medical visit alone, and 378 had a medical visit coupled with VR training. Training with the VR tool was associated with an increased “feeling of self-efficacy in occupational risk prevention. ” The employees who benefited from the training reported a willingness to apply the advice given on prevention to a greater extent than those who did not, and they believed that risks on the worksite could be reduced using this tool. Conclusions Using VR training as a complement to periodic medical visits in an occupational health service improves the feeling of personal effectiveness in occupational risk prevention at the end of the training. If this trend is confirmed over a longer period of time, it could be an easily accessible prevention lever for employees in the future.
EMG-Based Detection of Minimum Effective Load With Robotic-Resistance Leg Extensor Training

To promote rapid recovery and quality of life after a musculoskeletal disorder, rehabilitation exercises that are suitable for each individual's physical condition are important. In cases of disuse muscle atrophy of the quadriceps, inappropriate training can cause injury. Although resistance-training robotic systems have been developed and could adjust resistance load, a systematic detection method with appropriate force strength for automatic adjustment for each individual has not yet been established. In the current study, we developed an electromyogram (EMG) based method that determines the minimum effective resistance load for muscle growth. Using an integrated EMG (IEMG) model of incremental resistance load focused, we constructed a method to determine the minimum effective resistance load with logarithmic functions. The feasibility of our method was tested with a slow training protocol using a wire-driven leg extension training robot to measure the relationship between IEMG and resistance load by applying the incremental resistance load. The proposed model was found to be suitable for six young and four elderly subjects with different levels of muscle mass, and the load derived for each person was shown to induce effectively acute thigh circumference expansion, which is a factor leading to future muscle hypertrophy.
Modulated-Coupled-Inductor-Based ISOP Phase-Shifted Full-Bridge Converter With Wide ZVS Range and Reduced Duty-Cycle Loss

This article proposes a modulated-coupled-inductor-based input-serial-output-parallel (ISOP) phase-shifted full-bridge (PSFB) converter. Instead of using the variable saturation inductor in conventional method, the adoption of modulated-coupled-inductor simplifies the control complexity without additional auxiliary circuits. The equivalent leakage inductance of the converter is determined by the operating phases of the two modules. Therefore, it can be easily changed by modulating the phase difference between the two modules to achieve zero-voltage switching (ZVS) at light load condition and reduce duty-cycle loss at heavy load condition. The proposed topology, operating principle, and the characteristics are analyzed in this article. Finally, the experimental results have verified the realization of ZVS, and the comparison with the traditional converter have verified the wide load regulation range.
Origin and Evolution of Water in the Moon's Interior

Nearly forty years after the return of the first lunar samples to Earth, improvements in laboratory detection limits made possible the first definitive discovery of magmatic water in lunar volcanic samples. The intervening decade has seen an exponential increase in the amount of data on the abundance of magmatic water, and its hydrogen isotope composition, in various rock types recovered from the Moon. Here we review these data and describe how the abundance of water in the lunar interior places important constraints on models for the high-temperature origin and evolution of the Moon.
Clinical Assessment of Anti-inflammatory Activity of 940 Nanometer Low Level laser Therapy on Carrageenan Induced Arthritis in Temporomandibular Joint in Wistar Albino Rats

The aim of this study was to evaluate the possible anti-inflammatory effect of 940nm diode laser in treating carrageenan induced arthritis in temporomandibular joint in Wistar albino rats, using different energy density of LLLT, by clinical assessment of the inflammation. it was concluded that 74J/cm2 LLLT had very efficient in edema reduction and restore function with good anti-inflammatory effect, on the other hand 171J/cm2 had appear to be in or near the borderline between non-thermal and thermal lasers eradiation in considering to Westar rat skin.
How Cloud Computing and DevOps Can Add value to Managing Projects

While a digital transformation plan begins in the C-suite, it is in the implementation that project managers must grab the reins. Project managers, as the executive muscle of any business, are in charge of putting senior leadership's vision into action and delivering the company's new digital capabilities. Cross-team communication is one of the most significant areas where new digital technology is reshaping project management. When it comes to collaboration, traditional methods like email are inconvenient because they aren't meant for real-time communication. Important information is quickly lost in long email exchanges, and email saturation saps productivity. Collaborative work management software, on the other hand, allows team members and coworkers from other departments to engage, connect, and interact in real time, drastically reducing email clutter and saving time. However, these technologies do more than just improve the efficiency of intra-work communication; they also improve its effectiveness. A good example is the viability of AI as a transformation tool in several businesses. It has been effectively used and underlined in several businesses as important. According to Soni & Sharma et al.(2019), the importance of AI can be seen in its wide and seamless integration across several sectors of business that ultimately helps them in the growth and expansion of their various services. This study therefore seeks to look at the influence of digital transformations on the overall outlook of businesses from various industries.
JumpRoACH: A Trajectory-Adjustable Integrated Jumping–Crawling Robot

In this paper, we present a milliscale-integrated jumping–crawling robot that can adjust its launch trajectory and upright itself. This multimodal robot shows an enhanced performance of overcoming obstacles compared with a robot with a single locomotion mode. To make this possible, the robot uses a newly developed jumping module with improved energy storing capacity and a height-adjustable active clutch. The jumping module utilizes both linear springs and torsional springs to maximize the energy-storing capacity under the given limit of structural robustness. To adjust the quantity of stored energy and release the energy at any state, an active clutch mechanism based on a single dc motor is developed, which enables the robot to control both jump timing and height. Also, an active shell allows the robot to upright itself after landing and to continue jumping and crawling. The jumping module and the shell are integrated with the lightweight VelociRoACH crawler. To show the usability in real-world applications, the integrated jumping–crawling robot is tested on the cluttered terrain. In result, the robot reaches a target using jumping, crawling, and self-righting.
UGTransformer: A Sheep Extraction Model From Remote Sensing Images for Animal Husbandry Management

The extraction of sheep from satellite images plays an extremely important role in the precise automation of animal husbandry management. Current methods of extracting sheep mainly use hardware, such as radio frequency equipment and visual ear tags, which are prone to loss or damage. In this study, a new network, UGTransformer, was developed to extract sheep from high spatial resolution remote sensing (RS) images. In UGTransformer, a merge block was designed to fuse two scales of features in the encoder to improve the multiscale feature fusion capability. It enhanced the integration of global context features and spatial detailed features by combining the features in the decoder. A global connectivity module containing two sliding sub-modules, horizontal and vertical, was developed to correlate the horizontal and vertical features and correlate the arbitrary positions of the feature maps through the integration of the two modules, which realized the extraction of global contextual information. Our experimental results showed that the proposed UGTransformer performed well in comparison with UNet, Deeplab v3+, DCSwin, BANet, and UNetFormer, four recently proposed network structures for semantic segmentation. UGTransformer achieved at least a 1.8% increase in mean intersection over the union. This study not only provided potential solutions for the problems inherent in large-scale sheep extraction but also developed mechanisms for small-object extraction. The implementation code is available at https://github.com/chenchengStore/GlobalLocalAttention, and the RS images used in this study are available at https://github.com/chencheng-2023/UGTransformer-remote-sensing-images.
Robust Visible-Infrared Person Re-Identification Based on Polymorphic Mask and Wavelet Graph Convolutional Network

When deploying re-identification (ReID) models in the field of public safety, understanding the robustness of models to various types of corrupted images is crucial. Unfortunately, in the real world, images are always contaminated (e.g., noise, blur, and weather changes), which is ignored by existing visible-infrared person re-identification (VI-ReID) models. The performance of existing models tested in corrupted scenes is severely degraded. Therefore, learning corruption-invariant representations for corrupted images in VI-ReID is valuable and deserves further investigation. We design a polymorphic masked wavelet graph convolutional network for VI-ReID under corrupted scenes. Firstly, a cross-modality data augmentation algorithm is designed to construct a mixed image set that merges multi-modality attributes to improve robustness against interference. Secondly, a dual-branch network consisting of a global branch and a graph structure branch is designed. The global branch extracts overall information. While the graph structure branch is a wavelet-based graph convolutional module that utilizes the robustness of human structural information to corruptions and modalities, it can filter noise and extract discriminative features specifically targeted for cross-modality scenes. Finally, the global branch and the graph structure branch are integrated, and modality consistency loss is designed to match the branches with hetero-center triplet loss. Experiments show that our method can effectively alleviate degradation problems under corrupted environments such as noise, blur, digitization, and weather changes, and achieve state-of-the-art on corrupted datasets. Besides, it still maintains good performance on clean datasets, facilitating the reliable deployment of VI-ReID in real-world scenarios.
Cytotoxic Compounds from the Stem Bark of Calophyllum soulattri

Chemical investigation of the stem bark of Calophyllum soulattri resulted in the isolation of a new phloroglucinol, namely calosubellinone (1) along with two known compounds, garsubellin B (2) and soulattrone A (3). The structures of these compounds were established on the basis of spectroscopic methods. Compounds 1 and 2 displayed growth inhibitory activities against HeLa cancer cells comparable to the positive control cisplatin, with IC50 values of 19.3 and 16.5 μM, respectively. In addition, compound 2 also showed antiproliferative activity against a MDA-MB-231 cancer cell line with an IC50 value of 17.7 μM. Compounds 1 and 2 were found to exhibit good cancer-specific cytotoxicity when tested against noncancerous HEK293 cells. These findings have highlighted the therapeutic potential of compounds 1 and 2 as anticancer agents.
An Indonesian Secondary English Teacher’ Strategies to Accommodate Computer Mediated Communication for Group Discussions: An Interview Study

Numerous scholarly inquiries have been dedicated to exploring the advantageous consequences of implementing computer-mediated communication (CMC) for the purpose of orchestrating online group discussions. However, there is a paucity of empirical evidence elucidating how educators adapt to the use of CMC in the context of online group deliberations. The present research delves into the experiences of an English teacher in an Indonesian secondary school who employed CMC as a pedagogical tool. Grounded within the qualitative research paradigm, this study conducted unstructured in-depth interviews and subsequently subjected the interview transcripts to thematic analysis. The resultant findings shed light on several pivotal aspects of the teacher's role in CMC-enhanced online group discussions, which encompass the activation of students' creative faculties, the fostering of students' self-regulation of learning, the cultivation of a conducive learning environment, the advocacy for technological integration, and the effective management of assessment procedures in the online group discussion setting. Conclusively, this research posits that the incorporation of computer-mediated communication in online group discussions bears substantial educational advantages, as it affords students with alternative avenues to harness their skills and technology, thereby facilitating interpersonal exchanges among students and between students and educators.
A Comprehensive Review of Brucella canis: Zoonotic Risks and Preventive Strategies

Brucella canis, a zoonotic agent, primarily infects dogs and wild Canidae. Infection is notably suspected in dogs exhibiting epididymitis, infertility, or diskospondylitis. Recent reports indicate a growing incidence of Brucella canis infections in dogs, particularly among those imported into the UK from Eastern Europe. Although human infections by B. canis are relatively uncommon, clinical manifestations are typically mild, yet severe cases can potentially lead to septicemia. The disease in humans is incurable and spreads through contact with fluids from infected animals. Various diagnostic protocols, including Real-time PCR, Rapid slide agglutination test (RSAT), and Complement fixation test (CFT), are employed for the diagnosis of canine brucellosis. These serological tests play a crucial role in diagnosing canine brucellosis. Given the potential zoonotic risks, it is imperative to consistently include B. canis in diagnostic algorithms for canine diseases.
Genome-Wide Identification of R2R3-MYB Family Genes and Their Response to Stress in Dendrobium nobile.

BACKGROUND R2R3-MYB genes comprise one of the largest and most important gene families in plants, and are involved in the regulation of plant growth and development as well as responses to abiotic stresses. However, the functions of R2R3-MYB genes in Dendrobium nobile remains largely unknown. METHODS Here, a comprehensive genome-wide analysis of D. nobile R2R3-MYB genes was performed, in which phylogenic relationships, gene structures, motif composition, chromosomal locations, collinearity analysis, and cis-acting elements were investigated. Moreover, the expression patterns of selected DnMYB genes were analyzed in various tissues and under different abiotic stresses. RESULTS In total, 125 DnMYB genes were identified in the D. nobile genome, and were subdivided into 26 groups based on phylogenetic analysis. Most genes in the same subgroup showed similar exon/intron structure and motif composition. All the DnMYB genes were mapped to 19 chromosomes with the co-linearity relationship. Reverse transcription-quantitative real-time PCR (RT-qPCR) results showed that 8 DnMYBs exhibited different expression patterns in different plant tissues, and were differentially expressed in response to abscisic acid, methyl jasmonate, low-temperature stress. CONCLUSIONS This work contributes to a comprehensive understanding of the R2R3-MYB gene family in D. nobile, and provides candidate genes for future research on abiotic stress in this plant.
Motion Planning for Urban Autonomous Bus Considering Localization Uncertainty Using Offset-Free MPC

This study proposes a novel motion planning strategy to address localization uncertainty in autonomous buses. Conventional motion planning algorithms utilize information from high-definition (HD) maps to overcome the limited detection range of on-board sensors. However, this information contains uncertainty due to the utilization of estimated localization results during reference frame transformation. The wider dimensions of autonomous buses, compared to regular vehicles, amplify the potential dangers associated with localization uncertainty. Therefore, this research focuses on enhancing motion planning for autonomous buses by effectively addressing localization uncertainty. The investigation of manual driving data from autonomous buses highlights the need to handle three issues: heading bias, lateral position error, and longitudinal position error. Firstly, the heading bias was dealt with by implementing an Offset-free Model Predictive Control (OF-MPC) with a Moving Horizon Estimation (MHE) scheme for lateral motion planning. Secondly, the lateral position error was handled by incorporating a drivable corridor to determine the desired path. Lastly, the longitudinal position error was resolved by implementing a chance-constrained MPC for longitudinal motion planning. The proposed approach showed noticeable enhancement in path tracking performance while still securing ride comfort in lateral motion, collision safety, and prevention of stop-line violations. We evaluated the feasibility of the proposed approach through vehicle tests on a test track, and its applicability was further confirmed through fully autonomous driving tests on actual urban bus-only lanes.
Optimal Linear Broadcast Rates of Some Two-Sender Unicast Index Coding Problems

The two-sender unicast index coding problem consists of two senders, each having a different set of messages. Some messages may be common to both the senders. Each receiver demands a unique message and has a subset of messages known as its side-information. The senders transmit coded messages by availing the knowledge of the side-information of all the receivers, such that all the receivers are able to decode their demands. The aim is to find the optimal aggregate number of coded transmissions per message length (also called the optimal broadcast rate with finite length messages), and its limiting value as the message length tends to infinity (also called the optimal broadcast rate). In this paper, only linear coding schemes are considered. Optimal linear broadcast rate for any finite message length and optimal linear broadcast rate for a basic class of the two-sender unicast index coding problem are established. Optimal code-constructions are also provided. These results are given in terms of the corresponding results of three independent single-sender sub-problems of the two-sender unicast index coding problem. Proof techniques used to obtain the results for the two-sender problem are shown to be useful in obtaining the results for some classes of the multi-sender unicast index coding problem.
Exploring Sustainable Supply Chain Management Practice and Environmental Performance: A Systematic Review Perspective

Weather conditions transformation has exacerbated humanity challenges as nations continue to struggle between carbon reduction and rapid industrial economic development. Although, both developed and developing countries reaffirmed their solemn promise to mitigate existing carbon emission, research on sustainable development, eco-friendly, and low-carbon supply chain links remain unstudied. As a result, the study responds to the research interrogation: "Why and in what way are businesses adopting to sustainable strategies to promote sustainable supply chain management (SSCM) in their production? " In response, the researchers obtain and synthesis 19 literature papers for constructive analysis and interpretation from the Scopus database which has the reputation of housing peer-reviewed articles in a broader range of study disciplines. The findings indicate, it is imperative for organization to enhances their SSCM activities such as waste management and re-manufacturing, eco-friendly manufacturing and remanufacturing, logistics in reversal and networking plan, green manufacturing, green purchasing, green operation and low-carbon supply chains. Moreover, to maintain the supply chain operations for the global benefit, businesses must evaluate and acknowledge their primary sustainable risk activities from the previous through to the present, and the forthcoming structural plan.
EFFECTS OF GENDER STEREOTYPE AND AMBIVALENT SEXISM ON SPONTANEOUS TRAIT INFERENCES

Spontaneous trait inferences (STIs) refers to the process of forming impressions of others based on their behavior without awareness, intention and control, encompassing both the immediate activation of traits upon observing behavior (activation) and their storage in long-term memory (binding). Although considered automatic, evidence suggests that people tend to make STIs influenced by their cultural environement and in alignment with adopted stereotypes. This experimental study aims to investigate the effects of the gender of participant, gender stereotypes, and various dimensions of sexism on binding phase of STIs. The study employs Ambivalent Sexism and False Recognition Paradigm, presenting participants with face photos and trait-related sentences during the study phase