Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Contextual Variables on Match Load in a Professional Soccer Team Attending to the Different Season Periods

This study aimed to analyze the effects of contextual variables (i.e., match location and match outcome) and season periods on match load (i.e., internal and external load) in professional Brazilian soccer players. Thirty-six professional players from the same soccer team participated in this study. The season was split into four phases: matches 1–16 (i.e., Phase 1 = P1); matches 17–32 (i.e., Phase 2 = P2); matches 33–48, (i.e., Phase 3 = P3); matches 49–65 (i.e., Phase 4 = P4). Considering match outcome, when the team wins, Cognitive load, Emotional load, and Affective load were significantly higher in away vs. home matches (p < 0.05). Considering season phases, in P3, Mental Fatigue was significantly higher in drawing than in losing matches (p < 0.05). Additionally, considering the match outcome, when the team lost, Total Distance (TD)/min and TD > 19 km·h−1/min were significantly lower in P1 than P2 (p < 0.001), P3 (p < 0.001), and P4 (p < 0.001). These results suggest to strength and conditioning coaches the need to consider the outcome and location of the previous game when planning the week, as well as the phase of the season they are in to reduce fatigue and injury risk.
Geothermal Energy Production from Actively-Managed CO2 Storage in Saline Formations

Increased reliance on geothermal energy and CO2 capture and sequestration (CCS) in deep geological formations are both regarded as a promising means of lowering the amount of CO2 emitted to the atmosphere and thereby mitigate climate change. We investigate an approach to produce geothermal energy and to sequester CO2 at low cost and risk by integrating geothermal production with CCS in saline, sedimentary formations where a significant portion of the U.S. geothermal resource base resides. For industrial-scale CO2 injection in saline formations, pressure increase can be a limiting factor in storage capacity and security, while geothermal energy production can be limited by pressure depletion. Our approach utilizes Active CO2 Reservoir Management, which combines brine production with CO2 injection to enable more cost-effective and secure CO2 storage. The complementary CCS and geothermal systems are integrated synergistically, with CO2 injection providing pressure support to maintain productivity of geothermal wells, while brine production provides pressure relief and improved injectivity for CO2 injectors. A volumetric balance between injected and produced fluids mitigates the environmental and economic risks of reservoir overpressure (CCS concern) or underpressure (geothermal concern), including induced seismicity, insufficient well productivity or injectivity, subsidence, and fluid leakage either to or from overlying formations. We investigate the tradeoff between pressure relief at CO2 injectors and CO2 breakthrough time at geothermal brine producers for both vertical and horizontal wells, and address the influence of formation dip and permeability heterogeneity. The combined influence of buoyancy and layered heterogeneity delays CO2 breakthrough at geothermal production wells, particularly when the permeability contrast is large. Our results indicate adequate pressure relief at CO2 injectors can be attained, while delaying CO2 breakthrough at production wells for 30 or more years, thus enabling sustainable geothermal power.
Design of Machine Automatic Translation System Based on Artificial Intelligence

With the continuous progress of China's economy and technology, the scope of English use is expanding, and the system of English Chinese translation is also emerging, and the scope of English use is also expanding. However, currently, there are common problems in English Chinese translation systems, such as low translation efficiency, grammatical errors, and semantic inconsistencies, which bring great inconvenience to English translation and cannot meet people's needs for interactive translation well. This article investigates the creation of an AI-based machine translation system based on the aforementioned problems. This article first provides an overview of AI (artificial intelligence) and machine automatic translation systems, and then discusses how to build a machine automatic translation system. Finally, through experimental comparison and analysis of the system performance of this article, reference [2], and reference [3], the experimental results show that when the semantic sample set size is 10Bit, the accuracy of the translation system is 65%, and it increases with the sample set size, but always higher than other systems. Comparing the recall rate and matching rate, the performance of the translation system in this article is also superior to other systems.
Gluten and Wheat in Women’s Health: Beyond the Gut

Since the rise of awareness of gluten/wheat-related disorders in the academic and clinical field in the last few decades, misinformation regarding the gluten-free diet (GFD) and its impact on health has been spreading among the general population. Despite the established link between gluten and celiac disease (CD), where a GFD is mandatory to reach clinical and histological remission, things are more complicated when it comes to non-celiac gluten/wheat sensitivity (NCGWS) and other autoimmune/dysimmune disorders. In the last conditions, a beneficial effect of gluten withdrawal has not been properly assessed, but still is often suggested without strong supporting evidence. In this context, women have always been exposed, more than men, to higher social pressure related to nutritional behaviors and greater engagement in controlling body weight. With this narrative review, we aim to summarize current evidence on the adherence to a GFD, with particular attention to the impact on women’s health.
Tacit Knowledge Sharing in Micro, Small, and Medium-Sized Enterprises: Antecedents and Its Mediators

Knowledge sharing as part of the source of knowledge, especially tacit knowledge, is the most transparent and subjective form of knowledge, an important driver for maintaining a competitive position and organizational sustainability. Reluctance to share knowledge is seen as unethical, which can hamper the survival of an organization. This knowledge provides human resources with qualified, superior, and long-term survival capabilities. This study aims to examine the antecedents and mediators of Tacit knowledge sharing. This research is a quantitative study with a population of 393 MSMEs in Bali Province. The sample collection method used the Solvin formula and simple random sampling to obtain 389 samples. Respondents are management, with a Likert scale questionnaire research instrument 1-5. Analysis using PLS-SEM and processed with SmartPLS 2.0 software. The results of the study show that tacit knowledge sharing has an effect on interpersonal and trust in co-workers, with the mediator variable being trusted in co-workers. This research implies communication creates effectiveness and time efficiency so as to increase trust and encourage the intention to cooperate and share knowledge secretly.
Influence of Bending on the Frequency Responses of LC Sensors

This study delves into the alterations in resonant frequencies due to bending in flexible sensor applications. We examined the resonant frequencies of four inductor–capacitor (LC) resonant circuits subjected to various bending conditions and assessed the performance of LC temperature sensors under different bending states. Optimization of the sensor coil parameters was achieved through finite element simulations. LC resonant circuits were fabricated on flexible Pi films utilizing an inkjet printing technique, followed by bending tests. Our findings indicate a rise in the circuit’s resonant frequency as the bending radius diminishes. Separate simulations for capacitors and inductors revealed that the factors influencing the shift in resonant frequency after bending vary across LC sensors with different architectures. Additionally, we evaluated two configurations of LC temperature sensors in bending states. Notably, the reel-type LC temperature sensor, designed for direct winding at the temperature measurement site, demonstrated a measurement sensitivity of 89.3 KHz/°C, presenting a pioneering approach for temperature assessment in constrained, enclosed, and curved environments. The insights gleaned from this research are instrumental for the design and optimization of flexible sensors in practical applications.
EFFECT OF ROOTSTOCK ON TRUNK GROWTH AND FOLIAR MINERAL CONTENT IN CV. BIANCA PISTACHIO (Pistacia vera L.) TREES

Trunk cross-sectional area (TCSA) and mineral content were recorded for 4 years in the major Sicilian pistachio cultivar Bianca budded in 1991 onto eight in vitropropagated clonal rootstocks (Pistacia atlantica and P. integerrima) and one seedling rootstock (P. terebinthus). The trees were grown using standard cultural practices for Sicilian dry-land farming in a fine sandy soil, located inland in Sicily (20 km SW of Palermo, 350 m a.s.l.). From nine trees per rootstock, samples of 10 leaflets from the mid-section of current shoots were taken yearly in August and analyzed for the main plant mineral elements (N, P, K, Ca, Mg, Fe, Mn, Zn, Cu and B). The TCSA was measured at the end of each growing season. Clones of P. integerrima, especially clone 2, proved to be the most vigorous among the tested rootstocks, with a TCSA more than three times that of P. terebinthus. Clones of P. atlantica were of intermediate vigor, but differences in TCSA among the rootstocks tended to disappear in the last year of observation. There were no particular significant differences in the foliar concentrations of N, P, Fe, Mn and Zn, whereas there were significant differences among the rootstocks for Mg and K. Clone 3 of P. atlantica was the most efficient in using Mg and P. terebinthus in using K. Finally, an antagonistic effect was detected between these last two elements, with a highly significant negative correlation between K and Mg.
Autoimmunity and long COVID in children

Numerous hypotheses regarding the pathogenetic mechanisms of long COVID have been proposed. Immune dysregulation and autoimmunity are among the leading hypotheses. In this article, we present two clinical cases of long COVID. The first case demonstrates the phenotype of long COVID with pain and musculoskeletal symptoms, which is often associated with autoimmunity and mimics systemic connective tissue diseases. In the second case, a high titer of antinuclear antibodies was observed after SARS-CoV-2 infection, but the clinical symptoms were limited to fever and headache. Only a comprehensive evaluation of clinical symptoms and thorough objective examination can confirm or exclude autoimmune diseases after a previous SARS-CoV-2 infection. A systematic search in the PubMed Medline database was carried out for studies focusing on immune dysregulation, autoimmunity, and its association with the clinical phenotype of long COVID. The question of the role of autoimmunity in the development of long COVID and the management approaches are discussed.
Efficiency of two wastewater treatment plants situated in Zomba, Malawi

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Dhoti cancer revisited

Dhoti is traditional Indian dresses worn by males in the Indian subcontinent to cover the lower parts of the body. The term Dhoti cancer was first used by Khanolkar and Suryabhai in 1945. It is a type of waistline SCC reported in Indian males wearing dhoti. Only a handful of cases are reported in English literature. This case is remarkable due to its rare site of presentation, simultaneous presence of carcinoma and suspicious acanthosis on both side of waist in the same patient. Any hypo pigmented patch and acanthosis on the waist area in a dhoti clad man should be viewed with suspicion and continuous surveillance is needed thereof.
Critic Temelli Promethee ve Edas Teknikleriyle Bankaların Finansal Performanslarının Belirlenerek Karşılaştırılması

Bu çalışmada, Türkiye’de faaliyetini sürdüren Türkiye Bankalar Birliği’nin web sitesinden seçilen üçü kamu sermayeli, sekizi özel sermayeli ve onu yabancı sermayeli olmak üzere toplam 21 bankanın 2014-2021 yılları arasındaki finansal performanslarını değerlendirmek amacıyla Çok Kriterli Karar Verme (ÇKKV) yöntemlerinden PROMETHEE ve EDAS yöntemleri uygulanmıştır. Literatürde en çok yer alan toplam sekiz finansal kiter kullanılarak, kriterler ÇKKV yöntemlerinden CRITIC yöntemiyle ağırlıklandırılarak bankaların finansal performansları sıralanmış, yöntemlerden elde edilen sonuçlar birbirleriyle karşılaştırılarak yorumlanmıştır. CRITIC analiziyle en yüksek ağırlığı bulunan kriterin net faiz marjı miktarının olduğu, en düşük ağırlığı olan kriterin toplam mevduat miktarının olduğu ortaya çıkmıştır. Araştırma sonucunda; PROMETHEE ve EDAS analizi uygulamasıyla yıllar itibari ile en yüksek performansı kamu sermayeli bankalardan T.C. Ziraat Bankası A. Ş. ’nin gösterdiği belirlenirken; en düşük performansı gösteren bankanın ise PROMETHEE yönteminde özel sermayeli bankalardan Adabank A. Ş. ve EDAS yönteminde ise yabancı sermayeli bankalardan Arap Türk Bankası A. Ş. ’nin olduğu ortaya çıkmıştır. Yapılan analizlere göre PROMETHEE ve EDAS yöntemlerinin banka performanslarını belirlemede verimli ve etkili değerlendirme yöntemleri olduğu sonucuna varılmıştır.
Urokinase-type plasminogen activator and plasminogen activator inhibitor-1 complex as a serum biomarker for COVID-19

Patients with coronavirus disease-2019 (COVID-19) have an increased risk of thrombosis and acute respiratory distress syndrome (ARDS). Thrombosis is often attributed to increases in plasminogen activator inhibitor-1 (PAI-1) and a shut-down of fibrinolysis (blood clot dissolution). Decreased urokinase-type plasminogen activator (uPA), a protease necessary for cell-associated plasmin generation, and increased tissue-type plasminogen activator (tPA) and PAI-1 levels have been reported in COVID-19 patients. Because these factors can occur in free and complexed forms with differences in their biological functions, we examined the predictive impact of uPA, tPA, and PAI-1 in their free forms and complexes as a biomarker for COVID-19 severity and the development of ARDS. In this retrospective study of 69 Japanese adults hospitalized with COVID-19 and 20 healthy donors, we found elevated free, non-complexed PAI-1 antigen, low circulating uPA, and uPA/PAI-1 but not tPA/PAI-1 complex levels to be associated with COVID-19 severity and ARDS development. This biomarker profile was typical for patients in the complicated phase. Lack of PAI-1 activity in circulation despite free, non-complexed PAI-1 protein and plasmin/α2anti-plasmin complex correlated with suPAR and sVCAM levels, markers indicating endothelial dysfunction. Furthermore, uPA/PAI-1 complex levels positively correlated with TNFα, a cytokine reported to trigger inflammatory cell death and tissue damage. Those levels also positively correlated with lymphopenia and the pro-inflammatory factors interleukin1β (IL1β), IL6, and C-reactive protein, markers associated with the anti-viral inflammatory response. These findings argue for using uPA and uPA/PAI-1 as novel biomarkers to detect patients at risk of developing severe COVID-19, including ARDS.
Currency trios - using geometric concepts to visualise and interpret relationships between currencies

A currency trio is a set of three currencies and their respective exchange rates, which have a relationship fixed by a triangular arbitrage condition. This condition forms the basis for the derivation of a geometric interpretation of the relationships between the exchange rates. In the geometric framework, the three currencies in a currency trio are represented by a triangle, where each of the vertices represents a currency. The volatilities of the exchange rates are represented by the lengths of the sides joining the respective currencies and the cosine of each angle represents the correlation between the two exchange rates depicted by the angle’s adjacent sides. The geometric approach is particularly useful when dealing with implied data as it allows the calculation of implied correlation using implied volatility. This is valuable as implied volatility is frequently quoted in the foreign exchange market; whereas, implied correlation is not directly quoted and is more difficult to extract from market data. This dissertation aims to thoroughly investigate the geometric framework and use it to visualise and interpret the relationships between currencies in a currency trio. The analysis will initially look at currency trios with realised spot data before moving on to implied data. In the implied data context, the framework will be used to extract and evaluate implied correlation estimates using implied volatility data extracted from the foreign exchange market. The framework will be extended to investigate whether an illiquid option can be proxy hedged using options on the two other currencies in a currency trio. Finally, the findings will be discussed and the feasibility of the applications of the framework will be considered.
Impacts and Biases of Storm Regime and Sampling Networks on Extreme Precipitation Measurements across the Western Himalayas

AbstractPrecipitation data are critical for developing a fundamental understanding of hydrologic processes and reducing flood losses, but the acquisition of reliable and representative precipitation data is extremely challenging in high mountain environments, such as the Himalayas. Remotely sensed and ground-based observations are the two primary sources of precipitation data, but can have important biases, particularly in areas of complex and steep topography. Remotely sensed [Tropical Rainfall Measuring Mission (TRMM)] and ground-based precipitation measurements in the Sutlej River basin, India, were compared to better understand the biases and uncertainties associated with variable storm processes and precipitation sampling programs in high mountain environments. Results highlight how extreme rainfall values were the highest across the Lower Himalayas where synoptic weather systems are more prevalent, whereas extreme convective intensities were the highest across the Inner Himalayas, where orography tr.
Application of adipose-derived stem cells in ischemic heart disease: theory, potency, and advantage

Adipose-derived mesenchymal stem cells (ASCs) represent an innovative candidate to treat ischemic heart disease (IHD) due to their abundance, renewable sources, minor invasiveness to obtain, and no ethical limitations. Compared with other mesenchymal stem cells, ASCs have demonstrated great advantages, especially in the commercialization of stem cell-based therapy. Mechanistically, ASCs exert a cardioprotective effect not only through differentiation into functional cells but also via robust paracrine of various bioactive factors that promote angiogenesis and immunomodulation. Exosomes from ASCs also play an indispensable role in this process. However, due to the distinct biological functions of ASCs from different origins or donors with varing health statuses (such as aging, diabetes, or atherosclerosis), the heterogeneity of ASCs deserves more attention. This prompts scientists to select optimal donors for clinical applications. In addition, to overcome the primary obstacle of poor retention and low survival after transplantation, a variety of studies have been dedicated to the engineering of ASCs with biomaterials. Besides, clinical trials have confirmed the safety and efficacy of ASCs therapy in the context of heart failure or myocardial infarction. This article reviews the theory, efficacy, and advantages of ASCs-based therapy, the factors affecting ASCs function, heterogeneity, engineering strategies and clinical application of ASCs.
Hospital Factors Associated with the Survival of Infants Born at Periviable Gestation: The USA National Database

Background: Reports on the survival of infants born at periviable gestation (GA of ≤24 weeks and birth weight of <500 gm) vary significantly. We aimed to determine hospital factors associated with their survival and to assess the trend for the timing of postnatal mortality in these periviable infants. Methods: We utilized the de-identified National Inpatient Sample (NIS) dataset of the Healthcare Cost and Utilization Project (HCUP) from the Agency for Healthcare Research and Quality (AHRQ). National data were analyzed for the years 2010–2018. Hospitals were categorized according to delivery volume, USA regions, and teaching status. Results: We identified 33,998,014 infants born during the study period; 76,231 infants were ≤24 weeks. Survival at birth and first 2 days of life was greatest in urban teaching hospitals in infants <24 weeks and those who completed 24 weeks, respectively. The Northeast region has the lowest survival rate. There was a significant delay in the postnatal day of mortality in periviable infants. Conclusions: Hospital factors are associated with increased survival rates. Improved survival in large teaching hospitals supports the need for the regionalization of care in infants born at the limits of viability. There was a significant delay in the postnatal mortality day.
Parasites make hosts more profitable but less available to predators

Parasites are omnipresent, and their eco-evolutionary significance has aroused much interest from scientists. Parasites may affect their hosts in many ways with changes in density, appearance, behaviour and energy content, likely to modify their value to predators (profitability) within the optimal foraging framework. Consequently, parasites could impact predators’ diet and the trophic links through food webs. Here, we investigate the consequences of the infection by the iridovirus Daphnia iridescent virus 1 (DIV-1) on the reproductive success, mortality, appearance, mobility, and biochemical composition of water fleas (Daphnia magna), a widespread freshwater crustacean. We do predation tests and compare search time, handling time and feeding preference between infected and uninfected Daphnia when preyed upon by Notonecta sp. , a common aquatic insect. Our findings show that infection does not change fecundity but reduces lifespan and thereby constrains fitness. Infected Daphnia show reduced mobility and increased color reflectance in the UV and visible domains, which potentially affects their appearance and thus vulnerability to predators. Infection increases body size and the amount of proteins but does not affect carbohydrate and lipid contents. Although infected Daphnia are longer to handle, they are preferred over uninfected individuals by aquatic insects. Taken together, our findings show that DIV-1 infection could make Daphnia more profitable to predators (24% energy increase), a positive effect that should be balanced with a lower availability due to the higher mortality of infected specimens. We also highlight that exposure to infection in asymptomatic individuals leads to ecological characteristics that differ from both healthy and symptomatic infected individuals. Recommender: Luis Schiesari Reviewers: Thierry De Meeus and Eglantine Mathieu-Bégné Cite as: Prosnier L. , N. Loeuille, F.D. Hulot, D. Renault, C. Piscart, B. Bicocchi, M, Deparis, M. Lam, & V. Médoc. (2023). Parasites make hosts more profitable but less available to predators. BioRxiv, ver. 4 peer-reviewed and recommended by Peer Community in Ecology. https://doi.org/10.1101/2022.02. 08.479552