bluuebunny/crossref_metadata_2025_split huggingface dataset:
Functional performance and interlimb asymmetries of young football players during single-leg jump tests
Authors: Scinicarelli Giordano , Offerhaus Christoph , Feodoroff Boris , Froboese Ingo , Wilke Christiane 
Published: August 2021

Abstract
Background
Jumps are predominant components in football (soccer). Interlimb functional difference in single-leg jump performance is a risk factor for lower extremities injuries. Screening uninjured athletes is essential to design prevention strategies and implement individual training interventions. The aims of this cross-sectional study were (1) to provide age-specific mean values and limb symmetry index (LSI) in young football players, (2) to detect age effect on LSI and interlimb functional differences and (3) to investigate the association of age with single-leg functional performance and LSI.

Methods
A total of 146 male football players (age 14.2 ± 2.3) performed the countermovement jump, jump for distance, side hop and speedy jump tests. Descriptive statistics, mean values (dominant/non-dominant) and LSI were provided according to age groups (U11–U19). Two-way mixed analysis of variance (ANOVA), one-way ANOVA and Pearson’s correlation were used for the statistical analysis.

Results
Participants showed on average perfect LSI (103.8 ± 14.2%) amongst all tests and age groups. Interlimb functional differences occurred in three out of four tests (p < 0.05), without age interaction (p > 0.05). Age effect was positively associated with single-leg functional performance (p < 0.05), but not with LSI (p > 0.05), in all tests and age groups.

Conclusion
An LSI ≥100% in single-leg jump tests is proposed as a benchmark in young football players, but interlimb performance differences may occur without age interaction. Nevertheless, the growth process plays a crucial role in the development of functional capacities: older players may show a higher single-leg jump performance, but not a higher LSI, than younger players. In football practice, preventive intervention is advisable to counteract interlimb performance differences, for which unilateral strength, power and plyometric training is recommended.
Consistent Value of Two-Stage Pedicle Flaps in the Age of Microsurgical Maxillofacial Reconstruction
Authors: Frohwitter G. , Lutz R. , Baran C. , Weber M. , Nobis C. P. , Rau A. , Kesting M. 
Published: August 2021

Abstract
Introduction
Up to the second half of the twentieth century, pedicled flaps marked the gold standard in reconstructive surgery. Followed by the introduction of microsurgical techniques, these flaps were increasingly abandoned. We conducted a retrospective study to determine the value of two-stage pedicle flaps in modern maxillofacial reconstruction.

Material & Methods
A chart review from October 2017 to November 2020 was performed to identify patients who were treated by a two-stage pedicle flap in our Department of Oral and Maxillofacial Surgery.

Results
A total of 31 patients, 17 female and 14 males received 36 two-stage pedicle flaps. All patients were in noticeably impaired health condition with a majority of ASA-score 3. The defect location mainly contained extraoral resections (58.3%). A variety of flaps were harvested consisting of buccal flaps, Abbe flaps, forehead flaps, deltopectoral flaps, nasolabial flaps, and a tubed flap.

Discussion
The study outlines two indications for the use of two-stage pedicle flaps. Firstly, as a back-up strategy in heavily pre-treated wound beds and secondly in an almost contrarily indication as a first-choice reconstructive option of the facial skin in esthetic demanding cases.

Conclusion
The timesaving and straight forward surgical approach as well as their low postsurgical complications and strong long-time success rates secure the two-stage pedicle flap a justified niche role in times of microsurgical maxillofacial reconstruction.
Early prediction of writing quality using keystroke logging
Authors: Conijn Rianne , Cook Christine , van Zaanen Menno , Van Waes Luuk 
Published: August 2021

AbstractFeedback is important to improve writing quality; however, to provide timely and personalized feedback is a time-intensive task. Currently, most literature focuses on providing (human or machine) support on product characteristics, especially after a draft is submitted. However, this does not assist students who struggleduringthe writing process. Therefore, in this study, we investigate the use of keystroke analysis to predict writing quality throughout the writing process. Keystroke data were analyzed from 126 English as a second language learners performing a timed academic summarization task. Writing quality was measured using participants’ final grade. Based on previous literature, 54 keystroke features were extracted. Correlational analyses were conducted to identify the relationship between keystroke features and writing quality. Next, machine learning models (regression and classification) were used to predict final grade and classify students who might need support at several points during the writing process. The results show that, in contrast to previous work, the relationship between writing quality and keystroke data was rather limited. None of the regression models outperformed the baseline, and the classification models were only slightly better than the majority class baseline (highest AUC = 0.57). In addition, the relationship between keystroke features and writing quality changed throughout the course of the writing process. To conclude, the relationship between keystroke data and writing quality might be less clear than previously posited.
A q-rung orthopair fuzzy non-cooperative game method for competitive strategy group decision-making problems based on a hybrid dynamic experts’ weight determining model
Authors: Yang Yu-Dou , Ding Xue-Feng 
Published: August 2021

AbstractHow to select the optimal strategy to compete with rivals is one of the hottest issues in the multi-attribute decision-making (MADM) field. However, most of MADM methods not only neglect the characteristics of competitors’ behaviors but also just obtain a simple strategy ranking result cannot reflect the feasibility of each strategy. To overcome these drawbacks, a two-person non-cooperative matrix game method based on a hybrid dynamic expert weight determination model is proposed for coping with intricate competitive strategy group decision-making problems within q-rung orthopair fuzzy environment. At the beginning, a novel dynamic expert weight calculation model, considering objective individual and subjective evaluation information simultaneously, is devised by integrating the superiorities of a credibility analysis scale and a Hausdorff distance measure for q-rung orthopair fuzzy sets (q-ROFSs). The expert weights obtained by the above model can vary with subjective evaluation information provided by experts, which are closer to the actual practices. Subsequently, a two-person non-cooperative fuzzy matrix game is formulated to determine the optimal mixed strategies for competitors, which can present the specific feasibility and divergence degree of each competitive strategy and be less impacted by the number of strategies. Finally, an illustrative example, several comparative analyses and sensitivity analyses are conducted to validate the reasonability and effectiveness of the proposed approach. The experimental results demonstrate that the proposed approach as a CSGDM method with high efficiency, low computation complexity and little calculation burden.
Strategic rationing and freshness keeping of perishable products under transportation disruptions and demand learning
Authors: Li Shanshan , He Yong , Salling Melissza 
Published: August 2021

AbstractThis paper considers a retailer who sells perishable fresh products directly to customers through an online channel and encounters a transportation disruption. Products shipped during the disruption period come with an uncontrollable delivery lead time, resulting in product quality degradation. To balance the compensation price provided to customers because of quality losses, the retailer might employ freshness-keeping efforts to reduce the quality loss during transportation. Therefore, it raises several fundamental questions for the retailer in mitigating the disruption. Is it always optimal to satisfy those customers who are willing to purchase during disruption? If it is profitable to fulfill orders along with an extra delivery lead time, and with a quality loss compensation, what is the optimal freshness-keeping effort? If it is preferable to deliberately create unsatisfied demand by announcing shortages (rationing) to customers, when is the optimal time to do so? To answer these questions, we first present the dynamics of post-disruption inventory and demand, taking into account the demand learning effect facilitated from negative word-of-mouth during disruption and the demand recovery after disruption ends. Afterward, we develop a model to achieve the optimal selling strategy for maximizing post-disruption profit, identifying the joint decision of the rationing period and freshness-keeping effort. Finally, by numerical analysis, three types of selling strategies are visually provided to hedge against disruptions of different lengths.
An integrated fuzzy model for evaluation and selection of mobile banking (m-banking) applications using new fuzzy-BWM and fuzzy-TOPSIS
Authors: Roy Pranith Kumar , Shaw Krishnendu 
Published: August 2021

AbstractMobile technology has revolutionised various business processes. Banking is one of them. Traditional banking operations are gradually changing with the introduction of efficient mobile technologies. Mobile banking (m-banking) has recently emerged as an innovative banking channel that provides continuous real-time customer service. It is expected that the market for m-banking will expand in the near future. There are currently various types of m-banking applications in the market. However, ranking and selecting efficient applications is difficult due to the involvement of multiple factors. As of now, very few studies have reported the m-banking application selection framework, left scope for further research. The current study proposes an m-banking application selection model based on a combined fuzzy best–worst method (fuzzy-BWM) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy-TOPSIS). The research was carried out in several stages, beginning with the identification of potential factors and progressing to pair-wise comparisons and the final ranking of the applications. The fuzzy set theory was applied to handle the ambiguity of the decision maker. In the first stage, fuzzy-BWM was used to determine the weight of the factors. Further, fuzzy-TOPSIS was applied to rank the m-banking applications. The present study has adopted a new fuzzy BWM, which differs significantly from the existing fuzzy-BWM, to solve the nonlinearity problem of optimisation. The applicability of the proposed model has been demonstrated through a real-life case study. The efficacy of the model has been further examined by performing a sensitivity analysis. The study observed application functionality, convenience, and performance expectancy as significant factors in selecting an m-banking application, followed by performance quality, security, and compatibility. The proposed model can assist financial institutions and customers to overcome the challenges of choosing an appropriate m-banking application. The proposed model can be used to benchmark the m-banking applications in the market.
A federated data-driven evolutionary algorithm for expensive multi-/many-objective optimization
Authors: Xu Jinjin , Jin Yaochu , Du Wenli 
Published: August 2021

AbstractData-driven optimization has found many successful applications in the real world and received increased attention in the field of evolutionary optimization. Most existing algorithms assume that the data used for optimization are always available on a central server for construction of surrogates. This assumption, however, may fail to hold when the data must be collected in a distributed way and are subject to privacy restrictions. This paper aims to propose a federated data-driven evolutionary multi-/many-objective optimization algorithm. To this end, we leverage federated learning for surrogate construction so that multiple clients collaboratively train a radial-basis-function-network as the global surrogate. Then a new federated acquisition function is proposed for the central server to approximate the objective values using the global surrogate and estimate the uncertainty level of the approximated objective values based on the local models. The performance of the proposed algorithm is verified on a series of multi-/many-objective benchmark problems by comparing it with two state-of-the-art surrogate-assisted multi-objective evolutionary algorithms.
Designing with biodiversity data: connections among design, materials, and technology
Authors: Xia Guobin , Yu Luwen , Gong Zhe , Zhang Yize , Zhang Shaohui , Zhu Zongcheng , Li Hongfu , Tang Yue , Huang Yinghua , Tian Zhendong 
Published: August 2021

AbstractData visualisation plays an integral role in the communication of complex data between expert and non-expert audiences. However, heretofore, large uncertainties remain concerning how people understand and interact with massive amounts of data. In this paper, we describe the design and evaluation of a series of interactive data physicalising installations, aim to evaluate the potential influence of technology upon traditional comprehension of material items, its connection to meaning and value, and how technology that allows for an extension of this thinking builds an emotional connection between audiences and the intangible object, ‘data’. The design of prototypes was driven by data of the three least appearing species in Scotland. Analysis of 60 audience members’ responses reveals the positive design potential of further exploring innovative design methods to engage people with data. Likewise, the results provide empirical evidence regarding hands-on experience with integrative data visualisation in a realistic scenario and suggest that inventive forms of visualisation could potentially trigger people’s emotional and memorial reactions, which may affect their decision making at an unconscious level
The price–rent ratio inequality in Scottish Cities: fluctuations in discount rates and expected rent growth
Authors: Rambaccussing Dooruj 
Published: August 2021

AbstractThe price to rent ratio can be used to identify properties which are either overvalued or undervalued according to market fundamentals. Fluctuations in the price to rent ratio over time, can be traced to either changes in expectations of future house price growth (expected returns) or rental growth. In this paper, we measure the impact of these latent variables in Scotland’s main cities by implementing a state-space model based on the present value. The model estimates show that the proportion of expected rent growth and expected returns driving the price to rent ratio differs across Scotland. Glasgow seems to be driven mostly by expected returns, while rent growth drives price movements in Edinburgh. A geographic dimension is noted as cities on the East coast share similar expected returns and expected rent growth. Housing market trends in Scotland mostly follow the Edinburgh experience. Further decompositions show that house price changes are driven by an equal combination of expected rent growth and expected returns in Dundee and Aberdeen.
Association of Baseline Pelvic Floor Muscle Activities with Sexual and Urinary Functions In Female Stress Urinary Incontinence
Authors: Yang Evelyn , Yang Shwu-Huey , Huang Wen-Chen , Yeh Su-Chen , Yang Jenn-Ming 
Published: August 2021

ABSTRACTBackgroundThe presence of reactive and strong pelvic floor muscle (PFM) activities is supposed to be associated with better urinary and sexual functions in female stress urinary incontinence (SUI).AimThis study was to explore the association of baseline PFM activities, both volitional and reflex, with urinary and sexual functions in women with SUI but who had no experience of PFM training programs before.MethodsSecondary analysis of a prospectively maintained database identified 125 sexually active women with SUI who had met the eligibility criteria. All patients had undergone intravaginal digital examination and pelvic ultrasound to detect volitional and reflex PFM activities, respectively, and responded to questionnaire surveys, including short forms of the urogenital distress inventory, incontinence impact questionnaire-7, and Pelvic Organ Prolapse/Urinary Incontinence Sexual Questionnaire. On pelvic ultrasound, an inward clitoral motion and an anorectal lift preceding or during coughing were regarded as the presence of reflex activities of the PFM.OutcomesThe relationship of volitional and reflex PFM activities with pelvic floor dysfunction relating questionnaires and urethral function on urodynamic studies was analyzed.ResultOf the 125 women studied, 30 (24.0%) had volitional PFM contraction strength less than grade 2, 74 (59.2%) grade 2 to 3, and 21 (16.8%) greater than grade 3 based on the modified Oxford grading scale. During or preceding coughing, an inward clitoral motion was not observed on ultrasound in 9 (7.2%) women and an anorectal lift was not observed in 8 (6.4%) women. The strength of volitional PFM contraction and the presence or absence of anorectal lift reflex was not associated with urethral and sexual function. In contrast, the absence of reflex inward clitoral motion was significantly associated with lower maximum urethral closure pressure (P = .042) and higher scores of urogenital distress inventory-6 (P = .006) and incontinence impact questionnaire-7 (P = .029).Clinical implicationsHigher volitional PFM contraction strength was not associated with better sexual and urinary functions; however, loss of one reflex PFM activity was associated with poorer urinary function.Strengths & LimitationTo our knowledge, this is the first study that evaluates the association of baseline PFM activities with sexual and urinary functions in female SUI. Nevertheless, the cross-sectional design of this study cannot well support the cause-effect relationshipCONCLUSIONBesides PFM physiotherapy for enhancing sexual and urinary functions in female SUI, additional treatment strategies such as neuromodulation should take into consideration for those who had absent reflex PFM activities.
Normative Principles are Synthetic A Priori
Authors: Boghossian Paul 
Published: August 2021

AbstractI argue for the claim that there are instances of a priori justified belief – in particular, justified belief in moral principles – that are not analytic, i.e., that cannot be explained solely by the understanding we have of their propositions. §1–2 provides the background necessary for understanding this claim: in particular, it distinguishes between two ways a proposition can be analytic, Basis and Constitutive, and provides the general form of a moral principle. §§3–5 consider whether Hume's Law, properly interpreted, can be established by Moore's Open Question Argument, and concludes that it cannot: while Moore's argument – appropriately modified – is effective against the idea that moral judgments are either (i) reductively analyzable or (ii) Constitutive-analytic, a different argument is needed to show that they are not (iii) Basis-analytic. Such an argument is supplied in §6. §§7–8 conclude by considering how these considerations bear on recent discussions of “alternative normative concepts”, on the epistemology of intuitions, and on the differences between disagreement in moral domains and in other a priori domains such as logic and mathematics.
Venture Capitalists and COVID-19
Authors: Gompers Paul , Gornall Will , Kaplan Steven N. , Strebulaev Ilya A. 
Published: August 2021

AbstractWe survey over 1,000 venture capitalists (VCs) on how the COVID-19 pandemic has affected their decisions and investments. Despite the historical importance of in-person meetings, VCs do not report difficulty finding quality entrepreneurs or major changes in time allocation. They do report difficulty in evaluating deals, more investor-friendly terms, and a decreased investment rate, with about one-sixth of VCs reporting pressure from limited partners to conserve capital. Although aggregate returns are largely unchanged, there is high dispersion both within and across funds. A follow-up survey shows faster-than-expected recovery in deal volume, terms, and returns.
Childhood anxious/withdrawn behaviour and later anxiety disorder: a network outcome analysis of a population cohort
Authors: Monk Nathan J. , McLeod Geraldine F. H. , Mulder Roger T. , Spittlehouse Janet K. , Boden Joseph M. 
Published: August 2021

AbstractBackgroundSeveral previous studies have identified a continuity between childhood anxiety/withdrawal and anxiety disorder (AD) in later life. However, not all children with anxiety/withdrawal problems will experience an AD in later life. Previous studies have shown that the severity of childhood anxiety/withdrawal accounts for some of the variability in AD outcomes. However, no studies to date have investigated how variation in features of anxiety/withdrawal may relate to continuity prognoses. The present research addresses this gap.MethodsData were gathered as part of the Christchurch Health and Development Study, a 40-year population birth cohort of 1265 children born in Christchurch, New Zealand. Fifteen childhood anxiety/withdrawal items were measured at 7–9 years and AD outcomes were measured at various interviews from 15 to 40 years. Six network models were estimated. Two models estimated the network structure of childhood anxiety/withdrawal items independently for males and females. Four models estimated childhood anxiety/withdrawal items predicting adolescent AD (14–21 years) and adult AD (21–40 years) in both males and females.ResultsApproximately 40% of participants met the diagnostic criteria for an AD during both the adolescent (14–21 years) and adult (21–40 years) outcome periods. Outcome networks showed that items measuring social and emotional anxious/withdrawn behaviours most frequently predicted AD outcomes. Items measuring situation-based fears and authority figure-specific anxious/withdrawn behaviour did not consistently predict AD outcomes. This applied across both the male and female subsamples.ConclusionsSocial and emotional anxious/withdrawn behaviours in middle childhood appear to carry increased risk for AD outcomes in both adolescence and adulthood.