Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of match status on the conditional characteristics of tactical sprint actions in professional soccer players

This study aimed to analyse the influence of the match status on the conditional characteristics of tactical sprint actions among Spanish professional soccer players, considering playing positions. Thirty-two Spanish male professional soccer players from a LaLiga Spanish Second Division (LaLiga SmarthBank) team participated in this study. Actions above 85% of the players’ maximum velocity were analysed based on their tactical purpose. These findings provide valuable information regarding the tactical aspects of sprinting in soccer, emphasizing the influence of playing positions and match status on the distribution of tactical sprint actions. No effects of match status were observed for any game phase. However, when tactical actions were individually studied, it was observed that the maximum velocity in Chase actions was higher when the team was winning, while in Press actions, the maximum velocity was higher when the team was losing and in in Run in behind/Penetrate, the maximum velocity was higher in drawing situations compared to losing situations. No effects of match status on the distance covered during sprinting were observed, and regarding duration, significant differences were only observed in Recovery run actions. In addition, the influence of match status is higher when playing positions are considered, although the within playing positions analysis revealed significant differences only in CM players. These findings provide valuable information for the design of specific training drills considering playing positions, suggesting the need to analyse the previous match in order to structure the training load of the microcycle in a comprehensive manner.
The pattern of emergency department length of stay in Saudi Arabia: an epidemiological Nationwide analyses of secondary surveillance data

Background Emergency department length of stay is a vital performance indicator for quality and efficiency in healthcare. This research aimed to evaluate the length of stay patterns in emergency departments across Saudi Arabia and to identify predictors for extended stays. The study used secondary data from the Ministry of Health’s Ada’a program. Methods Using a retrospective approach, the study examined data from the Ada’a program on emergency department length of stay from September 2019 to December 2021. These data covered 1,572,296 emergency department visits from all regions of Saudi Arabia. Variables analyzed included quality indicators, year of visit, shift time, hospital type, and data entry method. The analysis was conducted using multiple linear regression. Results The study found that the median length of stay was 61 min, with significant differences among related predictors. All associations were significant with a value of p of less than 0.001. Compared to 2019, the length of stay was notably shorter by 28.5% in 2020 and by 44.2% in 2021. Evening and night shifts had a shorter length of stay by 5.9 and 7.8%, respectively, compared to the morning shift. Length of stay was lower in winter, summer, and fall compared to spring. Patients in levels I and II of the Canadian Triage and Acuity Scales had longer stays than those in level III, with those in level I reaching an increase of 20.5% in length of stay. Clustered hospitals had a longer length of stay compared to the non-clustered ones. Pediatric hospitals had a 15.3% shorter stay compared to general hospitals. Hospitals with data entered automatically had a 14.0% longer length of stay than those entered manually. Patients admitted to the hospital had a considerably longer length of stay, which was 54.7% longer compared to non-admitted patients. Deceased patients had a 20.5% longer length of stay than patients discharged alive. Conclusion Data at the national level identified several predictors of prolonged emergency department length of stay in Saudi Arabia, including shift time, season, severity level, and hospital type. These results underline the necessity of continuous monitoring and improvement efforts in emergency departments, in line with policy initiatives aiming to enhance patient outcomes in Saudi Arabia.
Bet-hedging across generations can affect the evolution of variance-sensitive strategies within generations

In order to understand how organisms cope with ongoing changes in environmental variability it is important to consider all types of adaptations to environmental uncertainty on different time-scales. Conservative bet-hedging represents a long-term genotype-level strategy that maximizes lineage geometric mean fitness in stochastic environments by decreasing individual fitness variance, despite also lowering arithmetic mean fitness. Meanwhile, variance-prone (aka risk-prone) strategies produce greater variance in short-term payoffs because this increases expected arithmetic mean fitness if the relationship between payoffs and fitness is accelerating. Using two evolutionary simulation models, we investigate whether selection for such variance-prone strategies are counteracted by selection for bet-hedging that works to adaptively reduce fitness variance. We predict that variance-prone strategies will be favored in scenarios with more decision events per lifetime and when fitness accumulates additively rather than multiplicatively. In our model variance-proneness evolved in fine-grained environments (with lower correlations among individuals in energetic state and/or in payoffs when choosing the variable decision), and with larger numbers of independent decision events over which resources accumulate prior to selection. In contrast, geometric fitness accumulation caused by coarser environmental grain and fewer decision events prior to selection favors conservative bet-hedging via greater variance-aversion. We discuss examples of variance-sensitive strategies in optimal foraging, migration, life histories and cooperative breeding in light of these results concerning bet-hedging. By linking disparate fields of research studying adaptations to variable environments we should be more able to understand the effects in nature of human-induced rapid environmental change. Data deposition R code is available upon request.
Comparing Kahoot, Quizizz, And Wordwall In EFL Reading Class

The purpose of this study was to compare Kahoot, Quizizz, and Wordwall on student learning outcomes in reading classes. The urgency of this research was to provide references for educators in choosing gamification platforms that are effective for improving learning outcomes and efficient for use as assessment media. This research was comparative quantitative research with a true experimental design. The data analysis technique used was one-way ANOVA with a sample of 57 students. The results stated that there were differences in student learning outcomes that were gamified via Kahoot, Quizizz, and Wordwall. This hypothesis was taken because the analysis results in the ANOVA table show a significance value of 0.013 <0.05, meaning that there are differences in student learning outcomes, so the H1 hypothesis was accepted and the H0 hypothesis was rejected. Furthermore, the results of the post hoc test analysis state that Quizizz was more effective in improving student learning outcomes compared to groups that are gamified via Kahoot and Wordwall. This was evidenced by the average learning outcomes in the Quizizz group of 9.00, which were the highest compared to the Kahoot and Wordwall groups.
The Effect of Brand Image and Brand Trust on Gojek Customer Loyalty in Yogyakarta Through Customer Satisfaction as an Intervening Variable

This study discusses the influence of brand image,brand trust, and user satisfaction on user loyalty Gojek in DI Yogyakarta. The measurement method uses multiple linear regression analysis to determine brand image,brand trust, and user satisfaction on user loyalty Gojek in DI Yogyakarta. The sample data was obtained from the questionnaire method. The sample used in this study was people of DI Yogyakarta who had filled out the questionnaires distributed. The number of questionnaires filled in and sampled were 95 respondend. Multiple regression results show that brand image, brand trust, and user satisfaction has a significant positive effect on user loyalty.
Survivin-Sodium Iodide Symporter Reporter as a Non-Invasive Diagnostic Marker to Differentiate Uterine Leiomyosarcoma from Leiomyoma

Leiomyosarcoma (LMS) has been challenging to diagnose because of limitations in clinical and radiographic predictors, as well as the lack of reliable serum or urinary biomarkers. Most uterine masses consist of benign leiomyoma (LM). However, it is currently a significant challenge in gynecology practice to differentiate LMS from LM. This inability poses grave consequences for patients, leading to a high number of unnecessary hysterectomies, infertility, and other major morbidities and possible mortalities. This study aimed to evaluate the use of Survivin-Sodium iodide symporter (Ad-Sur-NIS) as a reporter gene biomarker to differentiate malignant LMS from benign LM by using an F18-NaBF4 PET/CT scan. The PET/CT scan images showed a significantly increased radiotracer uptake and a decreased radiotracer decay attributable to the higher abundance of Ad-Sur-NIS in the LMS tumors compared to LM (p < 0.05). An excellent safety profile was observed, with no pathological or metabolic differences detected in Ad-Sur-NIS-treated animal versus the vehicle control. Ad-Sur-NIS as a PET scan reporter is a promising imaging biomarker that can differentiate uterine LMS from LM using F18-NaBF4 as a radiotracer. As a new diagnostic method, the F18 NaBF4 PET/CT scan can provide a much-needed tool in clinical practices to effectively triage women with suspicious uterine masses and avoid unnecessary invasive interventions.
Degenerative Cervical Myelopathy: An Overview

Degenerative cervical myelopathy (DCM) is a spinal condition of growing importance due to its increasing prevalence within the ageing population. DCM involves the degeneration of the cervical spine due to various processes such as disc ageing, osteophyte formation, ligament hypertrophy or ossification, as well as coexisting congenital anomalies. This article provides an overview of the literature on DCM and considers areas of focus for future research. A patient with DCM can present with a variety of symptoms ranging from mild hand paraesthesia and loss of dexterity to a more severe presentation of gait disturbance and loss of bowel/bladder control. Hoffman’s sign and the inverted brachioradialis reflex are also important signs of this disease. The gold standard imaging modality is MRI which can identify signs of degeneration of the cervical spine. Other modalities include dynamic MRI, myelography, and diffusion tensor imaging. One important scoring system to aid with the diagnosis and categorisation of the severity of DCM is the modified Japanese Orthopaedic Association score. This considers motor, sensory, and bowel/bladder dysfunction, and categorises patients into mild, moderate, or severe DCM. DCM is primarily treated with surgery as this can halt disease progression and may even allow for neurological recovery. The surgical approach will depend on the location of degeneration, the number of cervical levels involved and the pathophysiological process. Surgical approach options include anterior cervical discectomy and fusion, corpectomy, or posterior approach (laminectomy ± fusion). Conservative management is also considered for some patients with mild or non-progressive DCM or for patients where surgery is not an option. Conservative treatment may include physical therapy, traction, or neck immobilisation. Future recommendations include research into the prevalence rate of DCM and if there is a difference between populations. Further research on the benefit of conservative management for patients with mild or non-progressive DCM would be recommended.
Far-right memespheres and platform affordances: the effects of environmental opacity on the spread of extremist memes on Twitter and WhatsApp

ABSTRACT Research on WhatsApp political memes is still scarce. Nevertheless, since the 2018 Brazilian elections, the platform has attracted the attention of the media in general, after complaints of its use to spread misinformation and extremist messages by supporters of the Bolsonaro Government. Despite this, the effects of the WhatsApp platform on the user practices of sharing memes are still poorly understood. This article proposes a cross-platform comparative approach, between the digital memes on Twitter and those on WhatsApp, to better understand how user practices are affected by some of the structural singularities of these platforms. Based on a sample of 1,794 memes collected on both platforms, this study finds that there is a higher than expected frequency of ideological memes on WhatsApp in relation to Twitter. The findings suggest that WhatsApp’s environmental opacity favors the emergence of an extremist memesphere.
Daily Physical Activity Measured by Wearable Smartwatch for Patients Undergoing Transcatheter Aortic Valve Replacement: Insights From the SMART TAVR Study

BACKGROUND: This study aims to evaluate limited data about daily physical activity patterns, influential factors, and their association with 1-year mortality or rehospitalization after transcatheter aortic valve replacement (TAVR) through smartwatches. METHODS: Consecutive severe aortic stenosis patients undergoing elective transfemoral TAVR in a Chinese tertiary hospital were enrolled from July 2021 to May 2022 and received a Huawei smartwatch at least 1 day before TAVR. The primary outcome was a composite of all-cause mortality or hospital readmission within 1 year. Linear mixed-effects models were applied to determine influential factors of daily step counts, and Cox proportional hazard regression models were to estimate the association between baseline step counts within 1 month since discharge and composite outcome from months 2 to 12. The dose-response association was assessed using restricted cubic spline curves. RESULTS: A total of 222 participants and 59 469 valid monitoring person-day records were included (mean age, 72.7 years; 61% women). Step counts increased rapidly within the first 2 months (P<0.001), followed by a slower increase for those without composite outcomes (P=0.029) and a gradual decrease for those who developed composite outcomes (P<0.001). In multivariate linear mixed models, a 1-m increase in baseline 6-minute walk test and a 1-month delay after discharge were associated with 4 (95% CI, 1–7) and 170 (95% CI, 145–194) additional step counts, respectively. In restricted cubic spline analysis, the hazard ratio declined progressively until ≈5000 steps per day, after which they leveled. Below 5000 steps, the adjusted hazard ratio of composite outcome associated with each 1000-step count increase was 0.67 (0.50–0.89; P=0.007). However, above 5000 steps, step counts were not significantly associated with the composite outcome (P=0.645), with a hazard ratio of 1.12 (0.70–1.79). CONCLUSIONS: Daily step counts rapidly increased within the first 2 months post-TAVR. Increased physical activity was associated with a lower risk of 1-year mortality or rehospitalization after TAVR for patients with daily step counts below 5000. REGISTRATION: URL: https://www.clinicaltrials. gov; Unique identifier: NCT04454177.
A Voltage Ripple Compensation Method for Constant On-Time Buck Converter

Subharmonic oscillation stands as a critical concern in the context of ripple-based constant-on-time (COT) controllers. While this issue can be mitigated through the application of the virtual inductor current (VIC) technique, it comes at the cost of load transient response. To achieve both high stability and rapid transient response, this paper introduces an Output Capacitor Voltage Ripple Compensation (VRC) technique. This technique minimizes the phase delay attributed to output capacitance by introducing a virtual output ripple (<inline-formula> <tex-math notation="LaTeX">$\text{V}_{\mathrm {VOR}})$ </tex-math></inline-formula> inversely related to the feedback voltage. The VVOR serves to expedite the load transient response by counteracting the additional virtual inductor current injection during load transients. Utilizing a <inline-formula> <tex-math notation="LaTeX">$0.13\mu \text{m}$ </tex-math></inline-formula> BCD technology, a synchronous buck converter is integrated with the proposed VRC-COT controller, showcasing exceptional stability across a load current range of 0 to 8A, even when equipped with a 30% <inline-formula> <tex-math notation="LaTeX">$88\mu \text{F}$ </tex-math></inline-formula> ceramic output capacitor. Additionally, the load transient response exhibits reduced overshoot and undershoot, measuring at 120mV and 130mV, respectively, in response to load steps from 0A to 8A within a <inline-formula> <tex-math notation="LaTeX">$10\mu \text{S}$ </tex-math></inline-formula> timeframe.
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance in Earth Observation?

Technological and computational advances continuously drive forward the field of deep learning in remote sensing. In recent years, the derivation of quantities describing the uncertainty in the prediction—which naturally accompanies the modeling process—has sparked interest in the remote sensing community. Often neglected in the machine learning setting is the human uncertainty that influences numerous labeling processes. As the core of this work, the task of local climate zone (LCZ) classification is studied by means of a dataset that contains multiple label votes by domain experts for each image. The inherent label uncertainty describes the ambiguity among the domain experts and is explicitly embedded into the training process via distributional labels. We show that incorporating the label uncertainty helps the model to generalize better to the test data and increases model performance. Similar to existing calibration methods, the distributional labels lead to better-calibrated probabilities, which in turn yield more certain and trustworthy predictions. For reproducibility, we provide our code here https://github.com/ChrisKo94/LCZ_LDL and here https://gitlab.lrz. de/ai4eo/WG_Uncertainty/lcz_ldl.
Impact of Exercise Interventions on Sustained Brain Health Outcomes in Frail Older Individuals: A Comprehensive Review of Systematic Reviews

Several systematic review studies highlight exercise’s positive impact on brain health outcomes for frail individuals. This study adopts a Comprehensive Review of reviews (CRs) approach to amalgamate data from existing reviews, focusing on exercise’s influence on brain health outcomes in older frail and pre-frail adults. The methodology involves a thorough search of Portuguese, Spanish, and English-indexed databases (i.e., Ebsco Health, Scielo, ERIC, LILACS, Medline, Web of Science, SportDiscus) from 1990 to 2022, with the AMSTAR-2 tool assessing evidence robustness. The search terms “physical exercise”, “elderly frail”, and “systematic review” were employed. Results: Out of 12 systematically reviewed studies, four presented high-quality (with metanalyses), while eight exhibit critically low quality. Positive trends emerge in specific cognitive and neuromotor aspects, yet challenges persist in psychosocial domains, complex cognitive tasks, and ADL outcomes. This study yields reasonable and promising evidence regarding exercise’s influence on quality of life and depression in frail older individuals. However, the impact on biochemical markers remains inconclusive, emphasizing the need for standardized methodologies. Conclusions: The findings highlight the importance of acknowledging methodological nuances for clinicians and policymakers when translating these results into impactful interventions for aging populations. This emphasizes the necessity for a comprehensive and customized approach to exercise interventions aimed at fostering the sustainability of overall well-being in older individuals, aligning with United Nations Sustainable Development Goal 3.
Two further species groups and new species among Australian Hydrobiosella Tillyard: new species from south-eastern Australia (Trichoptera: Philopotamidae)

Cartwright, D.I. 2012. Two further species groups and new species among Australian Hydrobiosella Tillyard: new species from south-eastern Australia (Trichoptera: Philopotamidae). Memoirs of Museum Victoria 69: 245–258. Eleven philopotamid caddisfly species in the genus Hydrobiosella Tillyard are newly described from Australia, based on small differences in features of the male genitalia. These species are placed in two new species groups, one based on H. letti Korboot, the other on H. bandabanda sp. nov. The five species of the Hydrobiosella bandabanda group, all newly described here: H. bandabanda, H. jibboor, H. jirrima, H. tarrong and H. tiarka, share features of phallus with two or more embedded spines subapically and both preanal appendages and parameres absent. Females of four of these species are also figured in part. All five species are endemic to the eastern half of Victoria, mainland Australia. The H. letti species group comprises seven species: Hydrobiosella bifurca, H. bos, H. excilatas, H. fibra, H. incisura, H. letti Korboot and H. tenuitas, united in having features such as elongate, nearly straight parameres arising near middle to base of phallus, no obvious spines in phallus and presence of preanal appendages. Females of two of these species are also partly figured. These seven species are all are endemic to eastern coastal mainland Australia, from northeastern Victoria to eastern Queensland.
GC-MS Analysis and Larvicidal Activity of Sesame indicum Oil Extract against Dengue Vector Aedes aegypti (L.) (Diptera: Culicidae)

: The present study was carried out to investigate the larvicidal activity of Sesame indicum oil extract against the dengue vector Aedes aegypti . Sesame oil is recognized by a variety of regional names, including Kunjad and Til in Unani, Sesame and Gingelly in English
META-ANALYSIS OF THE ACTION OF FORSKOLIN DURING IN VITRO CULTURE OF BOVINE EMBRYOS AND ITS IMPLICATION ON CRYOPRESERVATION

Increased rates of embryonic re-expansion and implantation have been reported following the use of forskolin during embryo culture, primarily attributed to the reduction of intraplasmic lipids, which improves cryopreservation. The aim of this meta-analysis was to compare the occurrence of embryonic re-expansion among different studies that utilized forskolin in vitro for embryo production. Five articles, out of 159, assessing forskolin at concentrations of 2.5, 5.0, and/or 10µM in embryo culture were considered from 1980 to 2022, comparing them to the control group (in vitro culture with forskolin). The Restricted Maximum Likelihood Method (REML) was employed to compare the results of the articles. The Q test was used to identify heterogeneity among the studies, and the I² analysis was used to quantify the heterogeneity between the studies and to quantify the heterogeneity between the studies. Based on the statistical analysis, it is inferred that embryos cultivated with forskolin at a concentration of 10µM are 71% more likely to re-expand, compared to the control group, with a 95% confidence interval, ranging from 27 to 132%. There was no statistically significant difference in the likelihood of embryonic re-expansion when comparing embryos treated with a forskolin at 5µM, and the control group, suggesting that a concentration of 10µM would enhance the quality of cryopreserved bovine embryos. Further experiments are required to define the correct concentration of forskolin in vitro for bovine embryos.