Miracle-dz/UniFAR-FTUs huggingface dataset:
Monitoring Elite Youth Football Players' Physiological State Using a Small-Sided Game: Associations With a Submaximal Running Test.

PURPOSE To examine the utility of a standardized small-sided game (SSG) for monitoring within-player changes in mean exercise heart rate (HRex) when compared with a submaximal interval shuttle-run test (ISRT). METHODS Thirty-six elite youth football players (17 [1] y) took part in 6 test sessions across an in-season period (every 4 wk). Sessions consisted of the ISRT (20-m shuttles, 30″:15″ work:rest ratio, 70% maximal ISRT) followed by an SSG (7v7, 80 × 56 m, 6 min). HRex was collected during both protocols, with SSG external load measured as high-speed running distance (>19.8 km·h-1) and acceleration distance (>2 m·s-2). Data were analyzed using linear mixed-effect models. RESULTS Controlling for SSG external load improved the model fit describing the SSG-ISRT HRex relationship (χ2 = 12.6, P = .002). When SSG high-speed running distance and SSG acceleration distance were held constant, a 1% point change in SSG HRex was associated with a 0.5% point change in ISRT HRex (90% CI: 0.4 to 0.6). Inversely, when SSG HRex was held constant, the effects of a 100-m change in SSG high-speed running distance and a 21-m change in SSG acceleration distance on ISRT HRex were -1.0% (-1.5 to -0.4) and -0.6% points (-1.1 to 0.0), respectively. CONCLUSIONS An SSG can be used to track within-player changes in HRex for monitoring physiological state. Given the uncertainty in estimates, we advise to only give meaning to changes in SSG HRex >2% points. Additionally, we highlight the importance of considering external load when monitoring SSG HRex.
A Review of Asteroid Biology in the Context of Sea Star Wasting: Possible Causes and Consequences

Sea star wasting—marked in a variety of sea star species as varying degrees of skin lesions followed by disintegration—recently caused one of the largest marine die-offs ever recorded on the west coast of North America, killing billions of sea stars. Despite the important ramifications this mortality had for coastal benthic ecosystems, such as increased abundance of prey, little is known about the causes of the disease or the mechanisms of its progression. Although there have been studies indicating a range of causal mechanisms, including viruses and environmental effects, the broad spatial and depth range of affected populations leaves many questions remaining about either infectious or non-infectious mechanisms. Wasting appears to start with degradation of mutable connective tissue in the body wall, leading to disintegration of the epidermis. Here, we briefly review basic sea star biology in the context of sea star wasting and present our current knowledge and hypotheses related to the symptoms, the microbiome, the viruses, and the associated environmental stressors. We also highlight throughout the article knowledge gaps and the data needed to better understand sea star wasting mechanistically, its causes, and potential management.
Anti‐monoclonal antibody treatment during pregnancy and lactation in women with multiple sclerosis or neuromyelitis optica spectrum disorder

Multiple sclerosis (MS) and neuromyelitis optica (NMOSD) are more prevalent in women and mainly affecting young women, the majority of whom are of childbearing age. In addition, recent treatment algorithms suggest that patients who have poor prognostic factors are treated with highly effective disease‐modifying drugs from the beginning. Anti‐monoclonal antibodies for MS or NMOSD are basically highly effective disease‐modifying drugs. Therefore, young women with MS or NMOSD will have more opportunities to receive anti‐monoclonal antibody treatment than ever before. Currently, five anti‐monoclonal antibodies for MS or NMOSD are available in Japan: natalizumab and ofatumumab for MS, and eculizumab, satralizumab and inebilizumab for NMOSD. The pregnancy and breastfeeding of each anti‐monoclonal antibody drug is reviewed, and the evidence surrounding the safety of anti‐monoclonal antibody drugs during both pregnancy and breastfeeding in women with MS or NMOSD is discussed.
Sparse Signal Recovery Using a Binary Program

Sparsity based signal recovery has seen great success in solving underdetermined systems of equations. This success is due, in large part, to a relaxation: the $\ell_{0}$-norm is replaced by the $\ell_{1}$-norm, which results in a convex problem. However, such a relaxation may lead to a suboptimal solution, one that may even be asymptotically biased. We propose formulating sparse signal recovery as a binary program, and we derive the conditions under which such a formulation perfectly recovers the signal support. This derivation equips us with a constraint on the dictionary's spectrum. However, designing such a dictionary is a combinatorial problem, so we suggest a heuristic which can be readily satisfied using the alternating projections algorithm. Applied to angle of arrival (AoA) estimation using a sensor array, we show how this paradigm outperforms both the basis pursuit $\ell_{1}$-norm relaxation and the Matrix Pencil method.
A Novel Universal Corner Module for Urban Electric Vehicles: Design, Prototype, and Experiment

This thesis presents the work of creating and validating a novel corner module for a three-wheeled urban electric vehicle in the tadpole configuration. As the urban population increases, there will be a growing need for compact, personal transportation. While urban electric vehicles are compact, they are inherently less stable when negotiating a turn, and they leave little space for passengers, cargo and crash structures. Corner modules provide an effective solution to increase the space in the cabin and increase the handling capabilities of the vehicle. Many corner module designs have been produced in the hopes of increasing the cabin space and improving the road holding capabilities of the wheel. However, none have been used to increase the turning stability of the vehicle via an active camber mechanism while remaining in an acceptable packaging space. Active camber mechanisms are also not a new concept, but they have not been implemented in a narrow packaging space with relatively large camber angle. Parallel mechanism research and vehicle dynamics theory were combined to generate and analyse this new corner module design. The corner module increases the stability of the urban electric vehicle by cambering the front wheels to −15◦ when the vehicle is turning. The camber angle augmentation increases the track width which subsequently decreases the center of gravity height. These changes accumulated to increase the stability of the vehicle. The corner module uses two actuators to control the orientation of the wheel. Bias ply tires are incorporated into the corner module to enable the large camber angles. To increase the space in the cabin, the front left and right wheels are not connected by a mechanical linkage, and the motors are mounted to the wheel rim. While disc brakes are integrated into the corner module, the motor is also capable of regenerative braking. By integrating this corner module into urban electric vehicles, the vehicle size and pollution can be reduced while increasing the cabin space and public space.
Conceptualization of Participation: A Qualitative Synthesis of Brain Injury Stakeholder Perspectives

Background The return to participation in meaningful life roles for persons with acquired brain injury (pwABI) is a goal shared by pwABI, their families, clinicians, and researchers. Synthesizing how pwABI define participation will help to identify the aspects of participation important to pwABI and can inform a person-centered approach to participation outcome assessment. To-date, the qualitative synthesis approach has been used to explore facilitators and barriers of participation post-stroke, and views about participation among individuals with stroke in the UK. Objectives This paper's objectives are to (1) conduct a scoping review of qualitative literature that defines and characterizes participation from the perspective of pwABI of any type, (2) synthesize how pwABI define and categorize participation, and (3) link the themes identified in the qualitative synthesis to the International Classification of Functioning, Disability, and Health (ICF) using standardized linking rules to enhance the comparability of our findings to other types of health information, including standardized outcome measures. Methods We completed a scoping review of qualitative literature. Our search included PubMed, APA PsychInfo, CINAHL, and Embase databases and included articles that (1) had qualitative methodology, (2) had a sample ≥50% pwABI, (3) had aims or research questions related to the meaning, definition, perception, or broader experience of participation, and (4) were in English. Qualitative findings were synthesized using Thomas and Harden's methodology and resultant themes were linked to ICF codes. Results The search identified 2,670 articles with 2,580 articles excluded during initial screening. The remaining 90 article abstracts were screened, and 6 articles met the full inclusion criteria for the qualitative synthesis. Four analytical themes emerged: (1) Essential Elements of Participation (2) How pwABI Approach Participation, (3) Where pwABI Participate, and (4) Outcomes of Participation. Each overarching theme included multiple descriptive themes. Conclusion In this paper, we identified themes that illustrate key components of participation to pwABI. Our results provide insight into the complex perspectives about participation among pwABI and illustrate aspects of participation that should hold elevated importance for clinicians and researchers supporting participation of pwABI.
Viabahn Stent Graft for Inadvertent Insertion of a Central Venous Catheter in the Subclavian Artery

Subclavian artery (SCA) injuries associated with central venous catheter (CVC) insertion are uncommon yet lethal complications that typically require surgical treatment. This case report presents the case of a 94-year-old man with an iatrogenic right SCA injury resulting from a misplaced CVC. Computed tomography revealed the catheter piercing the right internal jugular vein to en-ter the right SCA and then reaching the aortic arch. Emergent endovascular treatment was performed, and a 13-mm × 50-mm self-expanding Viabahn stent graft (W.L. Gore & Associates, Flagstaff, AZ, USA) was placed via the right brachial artery. The misplaced catheter was successfully removed under simultaneous postdeployment balloon dilatation. This case highlights the utility of the Viabahn stent graft for iatrogenic right SCA injury caused by a misplaced CVC and presents some insights and tips for a safer procedure.
Reposicionando os holofotes do comportamento proativo: de um foco ambiental para as práticas sustentáveis

Em meio as influencias de pressoes identificadas na atual dinâmica de mercado, as organizacoes necessitam se posicionar, respondendo ao que lhe vem sendo imposto ou assumindo um comportamento proativo. No contexto da sustentabilidade, este tipo de comportamento tem sido relacionado a dimensao ambiental, com o conceito de proatividade ambiental. Entretanto, nao ha uma abordagem clara para a dimensao social, verificando-se, assim, uma lacuna de pesquisa, envolvendo explicitamente aspectos ambientais e sociais nas acoes adotadas por empresas, denominada proatividade de praticas sustentaveis. Ademais, a ideia de comportamento proativo pode ser considerada uma estrategia favoravel a introducao da sustentabilidade em cadeias de suprimento. Nesse sentido, este estudo tem por objetivo propor um conjunto de indicadores de proatividade de praticas sustentaveis, que nao considere apenas a dimensao ambiental, mas que agregue aspectos vinculados a dimensao social. Para tanto, o estudo caracteriza-se como estudo teorico. Assim, entende-se que sair de uma perspectiva “limitada” ao campo da dimensao ambiental e direcionar o holofote da proatividade para maior alinhamento com a sustentabilidade (ao focar tambem em aspectos sociais), demonstra que, atraves de praticas e mudancas em comportamentos, as empresas podem contribuir para um desenvolvimento mais sustentavel.
Integrated Information Coefficient Estimated from Neuronal Activity in Hippocampus-Amygdala Complex of Rats as a Measure of Learning Success.

BACKGROUND The goal of the brain is to provide right on time a suitable earlier-acquired model for the future behavior. How a complex structure of neuronal activity underlying a suitable model is selected or fixated is not well understood. Here we propose the integrated information Φ as a possible metric for such complexity of neuronal groups. It quantifies the degree of information integration between different parts of the brain and is lowered when there is a lack of connectivity between different subsets in a system. METHODS We calculated integrated information coefficient (Φ) for activity of hippocampal and amygdala neurons in rats during acquisition of two tasks: spatial task followed by spatial aversive task. An Autoregressive Φ algorithm was used for time-series spike data. RESULTS We showed that integrated information coefficient Φ is positively correlated with a metric of learning success (a relative number of rewards). Φ for hippocampal neurons was positively correlated with Φ for amygdalar neurons during the learning requiring the cooperative work of hippocampus and amygdala. CONCLUSIONS This result suggests that integrated information coefficient Φ may be used as a prediction tool for the suitable level of complexity of neuronal activity and the future success in learning and adaptation and a tool for estimation of interactions between different brain regions during learning.
High speed (1ns) and low voltage (1.5V) demonstration of 8Kb SOT-MRAM array

We demonstrated an 8Kb SOT-MRAM array which achieves the highest field-free switching speed (1ns) never reported. The low transistor switching voltage (VSW) 1.5V at switching current density (JSW) 68MA/cm2 is attributed to the unique tungsten-based cSOT channel material (SCM) which provides high spin-Hall angle (~0.6) and low resistivity (160μΩ-cm) with 400℃ thermal budget. The 8Kb SOT-MRAM array also showed good read window and array yield thanks to the promising MTJ etching process. Excellent performances such as high retention ( >>10 years at RT) and high endurance 7e12 cycles are demonstrated as well.
Fatty Acid Composition of Milk from Mothers with Normal Weight, Obesity, or Gestational Diabetes

Gestation and the neonatal period are crucial periods in infant development. Many components of breast milk, including fatty acids, play an important role in strengthening the immune system. The aim of our research was to evaluate the fatty acid profiles of milk from 69 mothers, including subjects having a normal weight, obesity, or gestational diabetes. For the analyses, we used gas chromatography (GC) with flame ionization detection (FID) and GC coupled with mass spectrometry (GC/MS). The main fatty acids found in breast milk were palmitic acid (C16:0; 26–28%), linoleic acid (C18:2; 23–28%), and α-linolenic acid linoleic acid (C18:3; 15–17%), followed by myristic acid (C14:0; 5–8%), lauric acid (C12:0; 4–6%) and stearic acid (C18:0; 4–5%). The average breakdown of fatty acids was 50% saturated, 44% polyunsaturated, and 6% monounsaturated. Breast milk samples were classified using principal component analysis and linear discriminant analysis. Results showed that milk from the two major groups of obese and normal body mass index (BMI) could be distinguished with an accuracy of 89.66%. Breast milk samples of Hungarian and Ukrainian mothers showed significant differences based on the fatty acid composition, which variations are attributable to the mothers’ dietary habits.
Classification of Children’s Sitting Postures Using Machine Learning Algorithms

Sitting on a chair in an awkward posture or sitting for a long period of time is a risk factor for musculoskeletal disorders. A postural habit that has been formed cannot be changed easily. It is important to form a proper postural habit from childhood as the lumbar disease during childhood caused by their improper posture is most likely to recur. Thus, there is a need for a monitoring system that classifies children’s sitting postures. The purpose of this paper is to develop a system for classifying sitting postures for children using machine learning algorithms. The convolutional neural network (CNN) algorithm was used in addition to the conventional algorithms: Naïve Bayes classifier (NB), decision tree (DT), neural network (NN), multinomial logistic regression (MLR), and support vector machine (SVM). To collect data for classifying sitting postures, a sensing cushion was developed by mounting a pressure sensor mat (8 × 8) inside children’s chair seat cushion. Ten children participated, and sensor data was collected by taking a static posture for the five prescribed postures. The accuracy of CNN was found to be the highest as compared with those of the other algorithms. It is expected that the comprehensive posture monitoring system would be established through future research on enhancing the classification algorithm and providing an effective feedback system.
AN ANALYSIS OF STUDENT TEACHERS’ E-READINESS FOR DIGITAL EDUCATION ENVIRONMENT IN COVID-19 TIMES

"The COVID-19 pandemic and the hygienic measures of social distance brought impasses to education and its future. Face-to-face activities are suspended and this accelerated use of Information Communications Technology (ICT) in most environments including education. Based on these changes, teacher education and training at universities should prepare prospective teachers that are able to function within the digital and virtual classrooms. This paper investigates the level to which student teachers were exposed to Technological Pedagogical Content Knowledge (TPACK) needed by them to function within the digital & virtual classrooms during and post COVID-19 times. The paper analyses, Central University of Technology (CUT) final year Bachelor of Education student teachers’ e-readiness to integrate ICT and present lessons in digital classrooms. A total of 60 student teachers were purposively selected to participate in this study. Data was collected using online questionnaires. A 5-point Likert scale questionnaire was used to collect data from student teachers. Subsequently, results revealed that student teachers are aware of the importance of ICT and e-learning in schools. However, they acknowledge that they have limitations, and they are not ready in implementing them in digital & virtual classrooms. The study concludes by offering several theoretical and practical recommendations for the e-readiness of student teachers in such environments. "
Clinical Overview of Luteal Deficiency in Dairy Cattle

Simple Summary Luteal deficiency is defined as reduced progesterone production by the corpus luteum, either in the amount or duration, or both. The clinical manifestations include primary infertility and pregnancy loss during the late embryonic/early fetal period (30–50 days post-AI). This work provides a clinical overview of the current understanding of luteal deficiency and its association with low fertility in dairy cows. Abstract Luteal deficiency is defined as reduced progesterone (P4) steroidogenesis by the corpus luteum (CL), either in the amount or duration, or both. This work provides a clinical overview of the current understanding of luteal deficiency and its association with low fertility in dairy cows. Low plasma P4 concentrations during the luteal phase post-artificial insemination (AI) are associated with lower conception rates. Treatments post-AI with P4, gonadotropin-releasing hormone (GnRH) or human chorionic gonadotropin (hCG) improve fertility in some conditions. Sub-luteal function during the late embryonic period (at pregnancy diagnosis, i.e., 28–34 days post-AI), is just one factor among other factors associated with pregnancy loss. Treatment with P4 in cows with one CL favors pregnancy maintenance, while GnRH treatment does the same in cows carrying twins. The diagnosis of sub-luteal function can be made clinically on the basis of plasma or milk P4 concentrations. Automated in-line milk P4 analysis systems to diagnose luteal activity emerge as a very interesting tool in dairy herds. Monitoring plasma or milk P4 concentrations with the help of Doppler ultrasonography to assess the CL function would allow individualizing the luteal phase support.
Tailoring FANET-Based 6G Network Slices in Remote Areas for Low-Latency Applications

In the near future, 6G networks will be able to provide its users with heterogeneous tailored end-to-end network services for edge AI-powered applications. However, in many 6G use case scenarios there may not be structured network infrastructures. One solution to meet this problem is to bring computing, networking and storage facilities on site by means of UAVs. The target of this paper is to define a management framework for Flying Ad-Hoc Networks (FANET) aimed at bringing edge computing to remote areas, guaranteeing low latency to ground devices with heterogeneous requirements in terms of mean latency. The proposed framework allows zero-touch management of different network slices realized by partitioning the Computing Elements (CE) installed on each UAV of the FANET and wireless links connecting them to each other. An Inter-Slice Orchestrator is in charge of deciding this resource partition, while an Intra-Slice Orchestrator manages horizontal offload among UAVs for each slice via Reinforcement Learning, in order to minimize the end-to-end latency.
Control of Disabling Vertigo in Ménière’s Disease Following Cochlear Implantation without Labyrinthectomy

Background: The placement of a cochlear implant (CI) can restore auditory function in the case of profound cochlear deafness, which may be due to Ménière’s disease (MD) or be associated with symptoms related to endolymphatic hydrops. The usual treatment of disabling vertigo in MD is based on vestibular deafferentation by labyrinth ablation. The aim of the present study was to retrospectively evaluate the efficacy of the CI in the control of disabling vestibular manifestations in the case of MD unresponsive to medical treatments. Methods: A case series of five MD patients with disabling vestibular manifestations associated with profound hearing loss was included. A complete audio-vestibular evaluation was performed after CI positioning. Results: All patients reported clinical benefits after implant positioning: no vestibular crisis was reported after the surgery. The vHIT and the caloric test showed a normal function or a mild vestibular hypofunction. The auditory performances were comparable to those in the general implanted population. All patients reported subjective tinnitus reduction. Conclusions: To date, very few studies have reported vestibular outcomes in hydropic pathology on the implanted side; our results are encouraging. We can therefore confirm the efficacy and safety of the CI as a unique treatment for hearing loss, dizziness, and tinnitus in case of disabling cochlear hydrops, especially in those patients where the history of the disease requires preservation of the vestibular function.