bluuebunny/crossref_metadata_2025_split huggingface dataset:
The handball referee’s personality through the lens of players and coaches
Authors: Dodt Marcus , Memmert Daniel 
Published: December 2023

AbstractRefereeing in handball is a complex exercise involving numerous decisions and interactions among players and coaches. To meet the demands of officiating a game, (e.g., withstand the pressure generated by spectators or managing critical situations), referees need to have a certain personality type. Since the sport of handball faces an acute shortage of referees and the recruitment of suitable individuals becomes increasingly difficult, personality research can provide practical guidance for the identification of potential candidates. When determining the personality characteristics necessary for refereeing, taking an external perspective and collecting information from others can provide a more objective assessment of an individual’s personality than self-assessment. For this reason, an online qualitative survey was conducted to collect data from 89 German handball players and 35 coaches. Based on the principles of qualitative content analysis, a large part of the responses could first be structured and assigned to the five-factor model. The remaining responses were then categorised, which allowed four categories to emerge: (i) character and leadership, (ii) judgement and decision-making, (iii) game management, and (iv) physical fitness and cognitive demands. The findings contribute to expanding knowledge about the crucial personality characteristics that shape handball referees’ personality and suggest that the performance profile of handball referees shows similarities to that of other team sports officials. In our conclusion, we outline research directions with high practical relevance for the recruitment and development of referees, e.g., the study of referees’ assertiveness, need for evaluation, preference for consistency, or self-efficacy.
Electrospun Polysulfone Hybrid Nanocomposite Fibers as Membrane for Separating Oil/Water Emulsion
Authors: Ponnamma Deepalekshmi , Elgawady Yara , Hassan Mohamed K. , Adham Samer , Al-Maas Mashael , Alamgir Karim , Al-Maadeed Mariam Al Ali 
Published: December 2023

AbstractCommercial polymer membranes are largely utilized to separate oil/water mixtures; however, membrane fouling, flux decline, and short lifetime often inhibit their high performance. In order to resolve these drawbacks of the commercial membranes, we introduce a surface modification strategy following the electrospinning method. Electrospun fibers of polysulfone (PSf)/iron oxide (FeO)/halloysite nanotubes (HNT) nanocomposite are applied to modify the polyether sulfone (PES) standard membrane support surface for developing highly efficient oil/water emulsion separating membranes. This facile and simple spinning process for shorter periods ensures nanocomposite coatings on the standard PES membranes and allows a better oil/water separation. We analyze the structural and morphological characteristics of the modified membrane surface using scanning electron microscopy, Fourier transformation infrared spectroscopy, and X-ray diffraction studies and hydrophilicity from contact angle studies. FeO nanoparticles of 2–5 nm and HNTs of < 50 nm size mixed in PSf produce fibers of 531 ± 162 nm average diameter at a relatively lower applied electrical voltage of 14.5 kV, compared to PSf. Underwater and under-oil contact angle values are used to prove the surface characteristics of the membranes and total organic content (TOC) values for the emulsion separation performance. From PES support to PSf and PSf/HNT-FeO, the TOC values respectively change from 67 to 75 and 79%. We find moderately hydrophilic membranes (PSf/HNT-FeO) resulting in a higher permeate flux (28,447 Lm−2·h−1) and quicker separation performance. We believe this study provides a notable solution to modify the surface of commercial membranes for better emulsion separation performance.
Bio-analysis of Saliva Using Paper Devices and Colorimetric Assays
Authors: Narasimhan Adhan , Jain Harshil , Muniandy Kowshika , Chinnappan Raja , Mani Naresh Kumar 
Published: December 2023

AbstractIn light of the evolving nature of various diseases, time becomes a crucial factor in diagnosis and identifying the underlying causes. A point-of-care device provides a rapid diagnosis of a disease without using complex and advanced instruments, which are costly and difficult to transport. A paper-based device is a relatively frugal solution wherein the paper is used as a substratum in which the reactions are carried out. These methods are non-invasive, and the sample collection is relatively easy. Saliva is one such body fluid in which various biomarkers are present for numerous diseases. Bioanalysis of saliva has attracted more attention recently due to its non-invasiveness and robustness. Exploiting the discovery of clinical biomarkers from salivary analysis has the potential to revolutionize the healthcare sector by providing crucial information to monitor the health status of individuals and disease progression which enables personalized treatment. This review provides the limitation of the traditional methods in clinical applications and highlights the significance of saliva as a non-invasive biological fluid that is a source of multiple biomarkers associated with various diseases. It also provides insights into the different paper-based colorimetric microfluidic devices developed against salivary biomarkers in the past decade. The major challenges in the point-of-care application and the future prospects have been discussed as well. Further, we also emphasize the importance of this approach in dental disease diagnosis which is least explored and holds potential applications.
Comorbidity of Sleep Disorders, Mental Illness, and Migraine or Headaches
Authors: Merrill Ray M. , Gibbons Ian S. 
Published: December 2023

AbstractThis study assesses the comorbidity of mental illness, sleep disorders, and migraine/headaches among employees in a large organization in the USA. The comorbidity of migraine/headaches and sleep disorders or mental illness has been well studied. However, simultaneous comorbidity of all three is less well known. Analyses were based on the Deseret Mutual Benefit Administrator employee database, derived from billing codes for employees and their families during the years 2017–2021. Statistical analyses were performed and adjusted for age, sex, marital status, dependent children, annual household income, and year. The claims rate for migraine is 2.2% and for headache is 0.95%. The claims rate for sleep disorder is 12.2%, with 34.6% having comorbid mental illness, primarily in the form of depression (18.4%), anxiety (18.0%), and ADHD (4.0%). The claims rate for mental illness is 18.4%, with comorbid sleep disorders 22.9%: 17.5% with sleep apnea, 6.5% with insomnia, and 2.2% with hypersomnia. Those with a sleep disorder are 130% times more likely to have migraine and 91% more likely to have headaches. Corresponding values for mental illness are 160% and 116%. Those with a sleep disorder only, mental illness only, or both (versus neither) are 133%, 162%, and 289% more likely to experience migraine, respectively. Corresponding values for headache are 92%, 118%, and 187%. Sleep and mental disorders positively associate with migraine and headache, more so when both are involved. The positive associations are stronger for migraine than headache.
Improving Energy Management in Deep-Level Mines by Integrating Advanced M&V with Operational Changes
Authors: Matthee F. J. L. , Pascoe J. , van Laar J. H. , Marais J. H. 
Published: December 2023

AbstractAdvanced measurement and verification (M&V) is a process where the impact of an energy initiative is determined in real time. Data prediction models can be used to predict and compare energy consumption with a predetermined baseline. Deep-level mines can benefit from advanced M&V as the impact of operational changes can be identified in real time. Ultimately, this can ensure that informed decisions are made regarding energy management based on the impact and severity of the occurrence.Previous studies on advanced M&V do not account for operational changes to the model’s baseline. These changes can significantly impact the performance of both the mine and related activities. The aim of this study is to propose a method that can accurately predict the energy consumption of a deep-level mine regardless of operational changes. To achieve this objective, nine different data predictive modelling techniques were considered.The proposed method is based on the Moving Average (MA) modelling technique due to its simplicity, flexibility, and rapid development time. The coefficient of variation for the root mean square error (CV(RMSE)) was used to statistically analyse the modelling error. If the predictions exhibit an unsatisfactory CV(RMSE), the model dynamically adjusts to reduce the prediction error.The model was developed to adapt to operational changes in scenarios where the standard model becomes irrelevant. The method developed in this study was able to predict the future energy consumption of deep-level mines with an accuracy of 99%, improving the mine’s energy and finance management.
Machine learning models reveal how biochar amendment affects soil microbial communities
Authors: Lei Chaotang , Lu Tao , Qian Haifeng , Liu Yuxue 
Published: December 2023

AbstractThe biochar amendment plays a vital role in maintaining soil health largely due to its effects on soil microbial communities. However, individual cases and the variability in biochar properties are not sufficient to draw universal conclusions. The present study aimed to reveal how the biochar application affects soil microbial communities. Metadata of 525 ITS and 1288 16S rRNA sequencing samples from previous studies were reanalyzed and machine learning models were applied to explore the dynamics of soil microbial communities under biochar amendment. The results showed that biochar considerably changed the soil bacterial and fungal community composition and enhanced the relative abundances of Acidobacteriota, Firmicutes, Basidiomycota, and Mortierellomycota. Biochar enhanced the robustness of the soil microbial community but decreased the interactions between fungi and bacteria. The random forest model combined with tenfold cross-validation were used to predict biomarkers of biochar response, indicating that potentially beneficial microbes, such as Gemmatimonadetes, Microtrichales, Candidatus_Kaiserbacteria, and Pyrinomonadales, were enriched in the soil with biochar amendment, which promoted plant growth and soil nutrient cycling. In addition, the biochar amendment enhanced the ability of bacteria to biosynthesize and led to an increase in fungal nutrient patterns, resulting in an increase in the abundance and diversity of saprophytic fungi that enhance soil nutrient cycling. The machine learning model more accurately revealed how biochar affected soil microbial community than previous independent studies. Our study provides a basis for guiding the reasonable use of biochar in agricultural soil and minimizing its negative effects on soil microecosystem.
Graphical Abstract
Tribological properties of Ti/Pb-MoS2-Graphene composite films under high environment temperature
Authors: Yang Rui-kai , She Ding-shun , Zhu Li-na , Liu Mei , Zhang Jie , Fu Zhi-qiang , Kang Jia-jie , Feng Mei-gui 
Published: December 2023

AbstractFor purpose of enhancing the tribological properties of molybdenum disulfide (MoS2) films, Ti/Pb doping and graphene dripping have been synchronously introduced to restrain the oxidation and wear under the environment temperature of 25, 100, 200, 300 and 400 °C. The MoS2, Ti-MoS2, Pb-MoS2 and Ti/Pb-MoS2 films have been prepared on the GCr15 steel substance by magnetron sputtering; and then graphene has been doped on the surface of the MoS2-based films to investigate the synergistic effects of graphene and MoS2-based films on the tribological performances tested by the UMT multifunctional friction and wear tester. Experimental results show the friction coefficient and wear rate of the MoS2-based films increase with the rising of the environment temperature. Wear mechanisms of tested under various temperatures are the co-action of oxidation wear and abrasive wear. Comparing the MoS2-graphene composite film, the Ti, Pb or Ti/Pb doped MoS2-graphene composite films tested under the environment temperature of below 400 ℃ show a low friction coefficient (less than 0.1) and a low wear rate, which is owing to the redox reaction of graphene and metal (Ti and Pb).
Resilience of metro tunnel structures: monitoring deformation due to surrounding engineering activities and effect of remediation treatment
Authors: Lu Yong , Han Tianran 
Published: December 2023

AbstractLong term performance of urban metro tunnels requires that the tunnel structure maintains not only a sound structural state, i.e., free from significant damages, but also a minimal change in the physical shape. Over-deformation can cause structural damage but more importantly can affect the safe operation of the metro lines, therefore is a primary target of monitoring and intervention where it becomes necessary. This paper presents an overview of recent developments in field monitoring and assessment of metro tunnels in soft soil concerning over-deformation. In particular, the over-deformation of shield tunnel rings due to nearby construction activities, especially deep excavation, and its rectification using grout treatment is discussed on the basis of relevant field experiment and numerical modelling reported in recent publications. Key considerations in the development of a Material Point Method (MPM) based numerical modelling framework for simulating explicitly the grouting operations are highlighted, and the general performance of the numerical model is examined with reference to the field test data and characteristic parametric observations. Further research needs in terms of more rigorous assessment and design of grouting treatment, in conjunction with the continued development of numerical modelling capabilities, are discussed.
The impact of environmental cleaning protocol featuring PX-UV in reducing the incidence of multidrug-resistant gram-negative healthcare-associated infection and colonization in intensive care units in Thailand
Authors: Vaivoothpinyo Supavit , Sathitakorn Ornnicha , Jantarathaneewat Kittiya , Weber David J. , Apisarnthanarak Piyaporn , Rutjanawech Sasinuch , Tantiyavarong Pichaya , Apisarnthanarak Anucha 
Published: December 2023

AbstractIn this quasi-experimental study, implementing PX-UV to the standard environmental cleaning protocol was associated with a reduction in the overall incidence of multidrug-resistant (MDR) gram-negative organisms (P = .01) and MDR Acinetobacter baumannii (P = .001) in intervention intensive care units. However, the intervention did not reduce patient length of stay and 30-day mortality.
Partial Presidential Vetoes and Executive–Legislative Bargaining: Chile, 1990–2018
Authors: Belmar Soto Jorge , Navia Patricio , Osorio Rodrigo 
Published: December 2023

ABSTRACTDefined as a credible threat that strengthens the bargaining position of the executive, presidential vetoes, widely understudied, carry a stigma of confrontation between state powers. But under some institutional setups, partial vetoes can be an additional step in the executive–legislative bargaining process. After a discussion of whether partial vetoes are a proactive legislative tool or a bargaining tool to induce executive–legislative cooperation, we test four hypotheses using the 2,346 bills introduced in Chile between 1990 and 2018 that reached a vetoable stage. We identified 97 partial vetoes (4.2 percent) and one total veto. Presidents are more likely to veto bills with more complex legislative processes and when they have stronger support in at least one chamber, but more popular presidents do not veto more bills. As most presidential vetoes in Chile are partial, they are an additional executive–legislative bargaining step in the lawmaking process rather than evidence of hyperpresidentialism.
Virtual reality as a technology of memory: Immersive presence in Polish politics of memory
Authors: Kazlauskaitė Rūta 
Published: December 2023

Abstract
Experiences that take place in virtual reality (VR) become part of users’ autobiographical memory. As memories can impact users’ self-perception, personal beliefs, and social interactions, storyliving in VR narratives can be used to manipulate memory and mould users’ self according to the preferences of the VR narrative creators. Poland's Ministry of Culture and National Heritage has, in recent years, generously invested in the production of VR films that depict events from the Polish historical canon. VR is a spatial technology that positions users ‘inside’ a virtual storyworld and leverages users’ sense of body position and movement to enhance memory and a sense of presence. Three dimensions of presence – self, social, and spatial – are relevant to understanding the role of VR in the politics of memory. The article interrogates a recent Polish VR production, Wiktoria 1920 (2020, dir. Tomasz Dobosz), and argues that VR representations exploit a sense of presence to shape users’ memory, perspective, and emotions in relation to the past.
Trace contracts
Authors: MOY CAMERON , FELLEISEN MATTHIAS 
Published: December 2023

Abstract
Behavioral software contracts allow programmers to strengthen the obligations and promises that they express with conventional types. They lack expressive power, though, when it comes to invariants that hold across several function calls. Trace contracts narrow this expressiveness gap. A trace contract is a predicate over the sequence of values that flow through function calls and returns. This paper presents a principled design, an implementation, and an evaluation of trace contracts.
About time: neurocognitive correlates of stimulus-bound and other time setting errors in the Clock Drawing Test
Authors: Soffer Matan , Butters Meryl A. , Herrmann Nathan , Black Sandra E. , Kumar Sanjeev , Pugh Bradley , Rajji Tarek K. , Tartaglia Maria Carmela , Tang-Wai David F. , Freedman Morris 
Published: December 2023

AbstractObjective:Previous findings suggest that time setting errors (TSEs) in the Clock Drawing Test (CDT) may be related mainly to impairments in semantic and executive function. Recent attempts to dissociate the classic stimulus-bound error (setting the time to “10 to 11” instead of “10 past 11”) from other TSEs, did not support hypotheses regarding this error being primarily executive in nature or different from other time setting errors in terms of neurocognitive correlates. This study aimed to further investigate the cognitive correlates of stimulus-bound errors and other TSEs, in order to trace possible underlying cognitive deficits.Methods:We examined cognitive test performance of participants with preliminary diagnoses associated with mild cognitive impairment. Among 490 participants, we identified clocks with stimulus-bound errors (n = 78), other TSEs (n = 41), other errors not related to time settings (n = 176), or errorless clocks (n = 195).Results:No differences were found on any dependent measure between the stimulus-bound and the other TSErs groups. Group comparisons suggested TSEs in general, to be associated with lower performance on various cognitive measures, especially on semantic and working memory measures. Regression analysis further highlighted semantic and verbal working memory difficulties as being the most prominent deficits associated with these errors.Conclusion:TSEs in the CDT may indicate underlying deficits in semantic function and working memory. In addition, results support previous findings related to the diagnostic value of TSEs in detecting cognitive impairment.
A Kushan royal inscription among the Almosi rock inscriptions recently discovered in Tajikistan
Authors: Cribb Joe 
Published: December 2023

AbstractAn inscription in the name of a Kushan king, Wima Takto (circa90–113 CE), has recently been discovered by the archaeologist Muhsin Bobomulloev of the National Museum of Tajikistan and his colleagues. The new inscription, found in the Almosi Gorge with other inscriptions in an ‘unknown script’, confirms the identity of Wima Takto, the second king of the Kushan Dynasty, which ruled a large territory stretching from Central Asia to North India in the first four centuries CE. The history of this dynasty is pieced together from inscriptions, coins, and archaeology, and fleeting references in Chinese sources. Each new inscription adds another piece to the jigsaw of Kushan history, revealing a powerful state in control of the central lands of the ancient Silk Road. This article positions the new inscription within the current understanding of Kushan history and the status of Wima Takto.
The Musical Text: Theorizing Openness after Structuralism
Authors: RIDOUT SAM 
Published: December 2023

AbstractThis article attends to the conjuncture in the early 1970s of post-Cagean musical practice and poststructuralist theory associated with the journal Musique en jeu and the music department of the Centre universitaire expérimental de Vincennes. Reading the theoretical writing of figures including Daniel Charles and Ivanka Stoïanova alongside the music of Costin Miereanu, the article elaborates the account of the open work that emerges there, before turning to an LP by Miereanu, Luna cinese (1975), which grapples with the aporetic figure of the open record and in so doing takes the ‘openness’ of post-Cagean experimentalism in new directions. In conclusion, I begin to theorize what Miereanu's open record suggests about the listening that records call for and the fixity of records in general.
Two‐Dimensional Numerical Modeling of Large Wood Transport in Bended Channels Considering Secondary Current Effects
Authors: Innocenti L. , Bladé E. , Sanz‐Ramos M. , Ruiz‐Villanueva V. , Solari L. , Aberle J. 
Published: December 2023

AbstractThe modeling of large wood (LW) transport in rivers has received increasing interest from researchers in the last decade due to the widely recognized role of LW concerning flooding risk. For this purpose, few 2D depth‐averaged hydraulic models have been coupled with LW transport models. However, such models usually neglect the effects of secondary currents on LW trajectories in river bends. In this work, the model Iber‐Wood was enhanced to simulate the effects of secondary currents in river bends on LW trajectories. The proposed methodology presents a new formulation for considering secondary current effects on the flow field derived from the Manning formula and considers a new approach for reproducing the surface flow field that develops at channel bends. The enhanced model was tested to reproduce a series of laboratory experiments on wood transport in a sharp channel bend. The methodology introduces two new parameters in the model related to the secondary current effects, that is, the secondary current intensity and the adaptation length. These parameters were calibrated using available data from laboratory experiments. The good agreement between observed and simulated dowel trajectories in a sharp channel bend validated the proposed approach to simulate LW transport in the case of secondary currents.