Miracle-dz/UniFAR-FTUs huggingface dataset:
Variations in Internal and External Training Load Measures and Neuromuscular Performance of Professional Soccer Players During a Preseason Training Period

Abstract We described the internal and external training loads (TLs) experienced by soccer players over a 4-week preseason, examined their effects on vertical jump (VJ) performance, and investigated the relationships between different TL variables. Eighteen professional soccer players performed 17 training sessions and 1 friendly-match (FM) over the preseason. The internal TL was obtained using the session-rating of perceived exertion method. The external TL variables collected were total and high-intensity distances, body-load, and high-metabolic power distance via the GPS system. VJ performance was assessed 13 times throughout the study. Moreover, total quality recovery and delayed onset muscle soreness were assessed before every training session as a measure of recovery status. Players were divided, using a median split analysis, into two groups, according to their VJ performance (i.e., “lower” and “higher” VJ). External TL variables displayed similar variations across training sessions and were significantly interrelated (r ranging from 0.48 to 0.88). In periods where higher internal TLs were detected, impaired recovery status was noticed. Notably, the higher VJ group exhibited decreased jump performance at post-test and higher internal and external TLs across the entire preseason (compared to the lower VJ group). From our results it is suggested that professional soccer players with higher VJ performance are potentially more susceptible to concurrent training effects.
Is routine blood typing and screening necessary before primary total hip or knee arthroplasty in the 21st century?

Blood loss warranting transfusion is a relatively rare complication of major‐joint arthroplasty procedures like total knee arthroplasty (TKA) and total hip arthroplasty (THA). Despite this rarity, pre‐transfusion testing (blood typing, screening, and cross‐matching) has become routine. We sought to determine if such routine testing is necessary for patients who undergo a primary TKA or THA by (1) measuring the current rate of intraoperative transfusions in primary TKA and THA patients, (2) identifying risk factors for transfusions, and (3) calculating the costs of such blood typing and screening.
CASE_ATTI: An Algorithm-Level Testbed for Multi-Sensor Data Fusion

Abstract : A key element in the anticipated information management problem on a naval platform is the ability to combine or fuse data, not only as a volume-reducing strategy, but also as a means to exploit the unique combinations of data that may be available. In this regard, the Command and Control Division at DREV is involved in multiple R&D activities in the field of local area Multi-Sensor Data Fusion (MSDF) for naval command and control afloat. Many different approaches to MSDF have been investigated and developed recently in response to the ever-increasing importance of the subject. However, at this stage of development, no standard approach is generally accepted for all applications. A wide variety of techniques have been proposed for many diverse applications, and the system designer must choose the techniques that are best suited to a specific problem. One of the best tools to help the designer with such a choice is a computer simulation for proof-of-concept purposes. This document presents an overview of the CASE_ ATTl (Concept Analysis and Simulation Environment for Automatic Target Tracking and Identification) algorithm-level simulation testbed that has been developed by DREV to support the theoretical work. CASE_ATTI provides the highly modular, structured and flexible hardware/software environment necessary to study and compare various advanced MSDF concepts and schemes in order to demonstrate their applicability, feasibility and performance. The document also discusses the use of CASE_ATTI to support an ongoing MSDF performance evaluation study in the context of the Canadian Patrol Frigate.
Chapter VIII: The Theory and Practice of Using Data to Build Capacity: State and Local Strategies and their Effects1

The theory of standards-based reform argues that schools will improve if states provide more explicit guidance about academic goals and outcomes and hold local educators responsible for meeting them. At the same time, states will offer educators greater flexibility to address these goals as they best see fit.2 Emerging state accountability systems and standards-based testing programs reflect this approach. While they represent an effort to get the goals and incentives for improvement right, the outcome data they produce are seen as an integral part of the improvement process. As Elmore and Rothman3 note, “The theory of action of the basic standards-based reform model suggests that, armed with data on how students perform against standards, schools will make the instructional changes needed to improve performance. ” In fact, data-driven decision making is also seen as an antidote to the susceptibility of public schooling to fads and political pressures. Administrators tend to legitimize education and signal progress by adopting the latest reforms.4 They appease political interests rather than choose innovations for their proven ability to improve teaching and learning. Indeed, often only minimal efforts are made to ensure that adopted reforms are practiced.5 Policymakers today argue that basing classroom, school, and district decisions more ‘rationally’ on problems uncovered by empirical data and selecting programs proven effective by research to raise student achievement will produce more meaningful and positive changes to teaching and learning.6 For example, the Comprehensive School Reform Design program seeks “to
Serious Play

Reformers are stuck on interventions centered on the schooling institution and the act of formal instruction. The meager results should prompt us to look elsewhere. Play is an active learning method far more powerful than its passive cousin. entertainment. Children play for the experience of control, for curiosity, for (he intrinsic motivation of fun, and to learn. The types of play—sensory motor, dramatic symbolic, games with rules—are nicely intertwined with developmental stages. The activity grows the brain, lubricates action, and previews later life. Among the more important gams is a facilitation of symbolic manipulation. Play is underutilized as a learning strategy and nearly completely ignored by reformers despite the hundreds of empirical citations documenting its power in cognitive development, language development, the growth of imagination and creativity, and the development of social competence. With the benefits of play so firmly established, we should find ways to overcome the economic and political obstacles to harnessing play to reform.
Urban Education and the “Truly Disadvantaged”: The Historical Roots of the Contemporary Crisis, 1945–1990

Thirty years ago James Bryant Conant alarmed the nation by calling attention to the inadequacies of urban education. Concerned about the growing disparity between inner-city schools and schools in the suburbs, Conant pointed out that while suburban schools prospered, urban schools were in a state of crisis, plagued by insufficient funding and outdated facilities, low academic achievement, and exceedingly high dropout rates. Indeed, Conant warned the nation that the deterioration of urban schooling coupled with high levels of youth unemployment and the persistence of racial segregation was a recipe for social disaster that threatened the health of the nation’s large cities and could be avoided only by improving urban schools and broadening the employment prospects of inner-city youth. ’ Beginning in the 1960s, the federal government launched an unprecedented series of programs. to address the urban problems Conant had documented. Together with other initiatives begun by states and local school districts, these programs provided much-needed funding for urban schools and contributed to some measurable gains in achievement as well as an increase in educational attainment among economically disadvantaged and minority children. Despite these programs and the improvements they produced, urban schools today remain in a state of crisis. ‘After two and a half decades of federal, state, and local efforts to improve urban education for low-income and minority children, achievement in inner-city schools continues to lag behind national norms and dropout rates in inner-city high schools (especially among African-Americanand Hispanic youth) remain distressingly high, while many of those who do graduate arc often so poorly pre-
Section Five: Recasting the Development of School Leaders

Previous chapters in this volume have discussed the complex challenges of educational leadership at the beginning of the 21st century. These multiple conditions affecting school leadership emphasize the need to prepare leaders whose knowledge, skills, and dispositions are focused on school improvement, social justice, and democratic and collaborative professional community (Murphy, 1999). These three concepts or goals—school improvement, social justice, and democratic and collaborative professional community—involve important interrelationships. For example, it could be argued that building a democratic and collaborative community and focusing attention on issues of social justice are critical processes required to improve schools. That is, community and social justice are means to an end—school improvement that supports educational excellence and equity for all children. Or, it could be argued that a collaborative community and social justice are worthy goals in and of themselves—independent of school improvement. It could also be argued that effective schools enhance social justice and democratic community.
Safe Screening for Logistic Regression with 𝓁0-𝓁2 Regularization

In logistic regression, it is often desirable to utilize regularization to promote sparse solutions, particularly for problems with a large number of features compared to available labels. In this paper, we present screening rules that safely remove features from logistic regression with $\ell_0-\ell_2$ regularization before solving the problem. The proposed safe screening rules are based on lower bounds from the Fenchel dual of strong conic relaxations of the logistic regression problem. Numerical experiments with real and synthetic data suggest that a high percentage of the features can be effectively and safely removed apriori, leading to substantial speed-up in the computations.
CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words

To accelerate software development, developers frequently search and reuse existing code snippets from a large-scale codebase, e.g., GitHub. Over the years, researchers proposed many information retrieval (IR)-based models for code search, but they fail to connect the semantic gap between query and code. An early successful deep learning (DL)-based model DeepCS solved this issue by learning the relationship between pairs of code methods and corresponding natural language descriptions. Two major advantages of DeepCS are the capability of understanding irrelevant/noisy keywords and capturing sequential relationships between words in query and code. In this article, we proposed an IR-based model CodeMatcher that inherits the advantages of DeepCS (i.e., the capability of understanding the sequential semantics in important query words), while it can leverage the indexing technique in the IR-based model to accelerate the search response time substantially. CodeMatcher first collects metadata for query words to identify irrelevant/noisy ones, then iteratively performs fuzzy search with important query words on the codebase that is indexed by the Elasticsearch tool and finally reranks a set of returned candidate code according to how the tokens in the candidate code snippet sequentially matched the important words in a query. We verified its effectiveness on a large-scale codebase with ~41K repositories. Experimental results showed that CodeMatcher achieves an MRR (a widely used accuracy measure for code search) of 0.60, outperforming DeepCS, CodeHow, and UNIF by 82%, 62%, and 46%, respectively. Our proposed model is over 1.2K times faster than DeepCS. Moreover, CodeMatcher outperforms two existing online search engines (GitHub and Google search) by 46% and 33%, respectively, in terms of MRR. We also observed that: fusing the advantages of IR-based and DL-based models is promising; improving the quality of method naming helps code search, since method name plays an important role in connecting query and code.
The Regulation of Integrated Stress Response Signaling Pathway on Viral Infection and Viral Antagonism

The integrated stress response (ISR) is an adaptational signaling pathway induced in response to different stimuli, such as accumulation of unfolded and misfolded proteins, hypoxia, amino acid deprivation, viral infection, and ultraviolet light. It has been known that viral infection can activate the ISR, but the role of the ISR during viral infection is still unclear. In some cases, the ISR is a protective mechanism of host cells against viral infection, while viruses may hijack the ISR for facilitating their replication. This review highlighted recent advances on the induction of the ISR upon viral infection and the downstream responses, such as autophagy, apoptosis, formation of stress granules, and innate immunity response. We then discussed the molecular mechanism of the ISR regulating viral replication and how viruses antagonize this cellular stress response resulting from the ISR.
The Joint Effects of Acoustic and Linguistic Markers for Early Identification of Mild Cognitive Impairment

In recent years, behavioral markers such as spoken language and lexical preferences have been studied in the early detection of mild cognitive impairment (MCI) using conversations. While the combination of linguistic and acoustic signals have been shown to be effective in detecting MCI, they have generally been restricted to structured conversations in which the interviewee responds to fixed prompts. In this study, we show that linguistic and acoustic features can be combined synergistically to identify MCI in semi-structured conversations. Using conversational data from an on-going clinical trial (Clinicaltrials.gov: NCT02871921), we find that the combination of linguistic and acoustic features on semi-structured conversations achieves a mean AUC of 82.7, significantly (p < 0.01) out-performing linguistic-only (74.9 mean AUC) or acoustic-only (65.0 mean AUC) detections on hold-out data. Additionally, features (linguistic, acoustic and combination) obtained from semi-structured conversations outperform their counterparts obtained from structured weekly conversations in identifying MCI. Some linguistic categories are significantly better at predicting MCI status (e.g., death, home) than others.
Drug-Coated Balloon for the Treatment of Nonacute Symptomatic Intracranial Carotid Artery Terminus Occlusion: Initial Experience and Follow-Up Outcome

Background Studies on the recanalization for occlusion of the internal carotid artery terminus are scattered. Recently, drug-coated balloon (DCB) has been increasingly applied in the intracranial artery occlusion and achieved encouraging results. However, there seems no convincing data for the nonacute symptomatic internal carotid artery terminus occlusion (sICATO). Objective To assess the feasibility and effectiveness (safety) of DCB for patients with nonacute sICATO refractory to medical therapy. Approach This study included 30 patients with nonacute sICATO treated with DCBs and/or remedial stenting. The rate of successful recanalization, periprocedural complications, and clinical and vascular imaging follow-up outcomes were retrospectively analyzed. Results Drug-coated balloon (DCB) dilatation of nonacute sICATO gives a 100% rate of successful recanalization, with a low complication rate (10.00%), good clinical outcomes (86.20%), low restenosis/reocclusion rate (3.45%), and one asymptomatic ipsilateral infarction (3.45%). Conclusion Drug-coated balloon dilation seems to be the promising treatment option for nonacute sICATO considering its safety and feasibility.
Germplasm Resources and Strategy for Genetic Breeding of Lycium Species: A Review

Lycium species (goji), belonging to Solanaceae, are widely spread in the arid to semiarid environments of Eurasia, Africa, North and South America, among which most species have affinal drug and diet functions, resulting in their potential to be a superior healthy food. However, compared with other crop species, scientific research on breeding Lycium species lags behind. This review systematically introduces the present germplasm resources, cytological examination and molecular-assisted breeding progress in Lycium species. Introduction of the distribution of Lycium species around the world could facilitate germplasm collection for breeding. Karyotypes of different species could provide a feasibility analysis of fertility between species. The introduction of mapping technology has discussed strategies for quantitative trait locus (QTL) mapping in Lycium species according to different kinds of traits. Moreover, to extend the number of traits and standardize the protocols of trait detection, we also provide 1,145 potential traits (275 agronomic and 870 metabolic) in different organs based on different reference studies on Lycium, tomato and other Solanaceae species. Finally, perspectives on goji breeding research are discussed and concluded. This review will provide breeders with new insights into breeding Lycium species.
Effect of Vitamin C on Clinical Outcomes of Critically Ill Patients With COVID-19: An Observational Study and Subsequent Meta-Analysis

Background Whether vitamin C provides any benefit when administered in critically ill patients, including those with coronavirus disease (COVID-19), is controversial. We endeavored to estimate the effect of administration of vitamin C on clinical outcomes of critically ill patients with COVID-19 by performing an observational study and subsequent meta-analysis. Methods Firstly, we conducted an observational study of critically ill patients with laboratory-confirmed COVID-19 who consecutively underwent invasive mechanical ventilation in an academic intensive care unit (ICU) during the second pandemic wave. We compared all-cause mortality of patients receiving vitamin C (“vitamin C” group) or not (“control” group) on top of standard-of-care. Subsequently, we systematically searched PubMed and CENTRAL for relevant studies, which reported on all-cause mortality (primary outcome) and/or morbidity of critically ill patients with COVID-19 receiving vitamin C or not treatment. Pooled risk ratio (RR) and 95% confidence intervals (CI) were calculated using a random effects model. The meta-analysis was registered with PROSPERO. Results In the observational study, baseline characteristics were comparable between the two groups. Mortality was 20.0% (2/10) in the vitamin C group vs. 47.6% (49/103; p = 0.11) in the control group. Subsequently, the meta-analysis included 11 studies (6 observational; five randomized controlled trials) enrolling 1,807 critically ill patients with COVID-19. Mortality of patients receiving vitamin C on top of standard-of-care was not lower than patients receiving standard-of-care alone (25.8 vs. 34.7%; RR 0.85, 95% CI 0.57–1.26; p = 0.42). Conclusions After combining results of our observational cohort with those of relevant studies into a meta-analysis of data from 1,807 patients, we found that administration vitamin C as opposed to standard-of-care alone might not be associated with lower of mortality among critically ill patients with COVID-19. Additional evidence is anticipated from relevant large randomized controlled trials which are currently underway. Systematic Review Registration https://www.crd. york.ac. uk/prospero/, identifier: CRD42021276655.
The Antarctic Marginal Ice Zone and Pack Ice Area in CMEMS GREP Ensemble Reanalysis Product

Global ocean reanalyses provide consistent and comprehensive records of ocean and sea ice variables and are therefore of pivotal significance for climate studies, particularly in data-sparse regions such as Antarctica. Here, for the first time, we present the temporal and spatial variability of sea ice area in the ensemble of global ocean reanalyses produced by the Copernicus Marine Environment Monitoring Service (CMEMS) for the period 1993–2019. The reanalysis ensemble robustly reproduces observed interannual and seasonal variability, linear trend, as well as record highs and lows. While no consensus has been reached yet on the physical source of Antarctic-wide ice changes, our study also emphasizes the importance of understanding the different responses of ice classes, marginal ice zone (MIZ) and pack ice, to climate changes. Modifications of the distribution of MIZ and pack ice have implications for the level of air/sea exchanges and for the marine ecosystem. Analysis of the spatial and temporal variability of ice classes can provide further insights on long-term trends and help to improve predictions of future changes in Antarctic sea ice. We assess the ability of the reanalysis ensemble to adequately capture variability in space and time of the MIZ and pack ice area, and conclude that it can provide consistent estimates of recent changes in the Antarctic sea ice area. Our results show that the Antarctic sea ice area agrees well with satellite estimates, and the hemispheric and regional sea ice area variability are properly reproduced on seasonal and interannual time scales. Although the ensemble reanalysis product tends to slightly overestimate MIZ in summer, results show that it properly represents the variability of MIZ minima and maxima as well as its interannual variability during the growing and melting seasons. Our results confirm that Global Reanalysis Ensemble Product is able to reproduce the observed substantial regional variability, in regions covered by marginal ice.
Editorial: Animal Welfare - Volume II: Using Bio-sensing Devices to Assess Farm Animal Welfare

Hawai’i Institute of Marine Biology, University of Hawai’i at Manoa, Honolulu, HI, United States, 2 Fundación Oceanografic de la Comunidad Valenciana, Valencia, Spain, 3 Kolmården Wildlife Park, Kolmården, Sweden, Global Diving Research SL, Valencia, Spain, Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, Norway, 6 School of Veterinary Science, Universitat Autònoma de Barcelona, Barcelona, Spain