bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Influence of Working from Home vs. Working at the Office on Job Performance in a Hybrid Work Arrangement: A Diary Study
Authors: Toscano Ferdinando , González-Romá Vicente , Zappalà Salvatore 
Published: July 2024

Abstract
Working from home (WFH) has become increasingly common, and its impact on job performance is particularly interesting to researchers. Prior research has established a positive correlation between remote work and job performance, but the underlying mechanisms still need to be fully understood. This diary study addresses this issue by applying the Job Demands-Resources (JD-R) theory and developing a mediation model that identifies two processes responsible for the positive and negative relationships of WFH (compared to working at the office or WATO) with job performance. The study was conducted in a public organization, and 203 employees engaged in hybrid work arrangements answered an online survey for eight consecutive workdays. Results showed that working from home (WFH) had an indirect positive relationship with job performance through daily concentration and work engagement. Instead, no significant indirect relationship of WFH with daily job performance through daily social isolation and tension was observed. However, a disengagement “effect” was found, as the indirect relationship of WFH with daily job performance via daily social isolation and work engagement was negative and statistically significant. Theoretically, this study supports a motivational mechanism linking WFH to job performance, does not support the health-impairment process triggered by WFH, and emphasizes the importance of considering the complex interplay between job demands and motivational states. From a practical standpoint, the study suggests that organizations implementing hybrid work should enhance employee motivation, for instance, by providing tools to improve employee concentration and addressing potential feelings of social isolation when working from home.
Heart rate variability as a predictor of intraoperative autonomic nervous system homeostasis
Authors: Keim Ole C. , Bolwin Lennart , Feldmann, Robert E. , Thiel Manfred , Benrath Justus 
Published: July 2024

AbstractThe aim of the proof-of-concept study is to investigate the level of concordance between the heart rate variability (HRV), the EEG-based Narcotrend Index as a surrogate marker for the depth of hypnosis, and the minimal alveolar concentration (MAC) of the inhalation anesthetic sevoflurane across the entire course of a surgical procedure. This non-blinded cross-sectional study recorded intraoperative HRV, Narcotrend Index, and MAC in 31 male patients during radical prostatectomy using the Da-Vinci robotic-assisted surgical system at Mannheim University Medical Center. The degree of concordance was calculated using repeated measures correlation with the R package (rmcorr) and presented using the rmcorr coefficient (rrm). The Narcotrend Index correlates significantly across all measures with the time-dependent parameter of HRV, the standard deviation of the means of RR intervals (SDNN) (rrm = 0.2; p < 0.001), the frequency-dependent parameters low frequency (LF) (rrm = 0.09; p = 0.04) and the low frequency/high frequency ratio (LF/HF ratio) (rrm = 0.11; p = 0.002). MAC correlated significantly negatively with the time-dependent parameter of heart rate variability, SDNN (rrm = -0.28; p < 0.001), the frequency-dependent parameter LF (rrm = -0.06; p < 0.001) and the LF/HF ratio (rrm = -0.18; p < 0.001) and the Narcotrend Index (rrm = -0.49; p < 0.001) across all measures. HRV mirrors the trend of the Narcotrend Index used to monitor depth of hypnosis and the inhibitory influence of the anesthetic sevoflurane on the autonomic nervous system. Therefore, HRV can provide essential information about the homeostasis of the autonomic nervous system during general anesthesia. DRKS00024696, March 9th, 2021.
Association Between Physical Activity, Sedentary Time, and Technology Use in Autistic Adults
Authors: Lee Daehyoung , Cothran Donetta J. , Kennedy John M. , Shih Patrick C. , Golzarri-Arroyo Lilian , Dickinson Stephanie , Frey Georgia C. 
Published: July 2024

AbstractThere is little understanding of physical activity (PA) and sedentary behavior as preventive health behaviors in autistic adults. Technology has been used as an educational and social intervention tool for autistic individuals, yet it is also associated with low PA and high sedentary time (ST) in the neurotypical population. This study aimed to examine the prevalence of self-reported PA and ST and their relationships with various technology uses in autistic adults. We employed a Qualtrics online survey that consisted of the International Physical Activity Questionnaire-Short Form, Sedentary Behavior Questionnaire, and National Alliance for Mental Illness’s digital technology use survey. 229 responses (74.6% under 35 years of age; 64.1% males) satisfied the response validity criteria and were included in the analyses. The majority of participants (78%) met the recommended PA amount of ≥ 600 metabolic equivalent of task (MET)-minutes/week (median, 1,812 total MET-minutes/week), but they were also overly sedentary on both weekdays (median, 8 h/day) and weekends (median, 7 h/day). Stepwise multiple regression analyses revealed that variance of ST in weekday (45%) and weekend (43%) was largely explained by quality of life (β = -0.31; β = -0.33) and technology use time (β = 0.31; β = 0.26) (all p < .01). While technology can be an effective tool to support social and academic abilities in autistic adults, the use of technology devices needs to be monitored with care as it may put these individuals at risk for sedentary lifestyles and associated chronic diseases.
Synthetic Alfalfa Infusion Odour Attracts Gravid Culex quinquefasciatus Under Laboratory Conditions
Authors: Wondwosen Betelehem , Isberg Elin , Birgersson Göran , Hill Sharon R. , Ignell Rickard 
Published: July 2024

AbstractGravid culicine mosquitoes rely on olfactory cues for selecting breeding sites containing organic detritus. While this capacity of the mosquitoes is used for surveillance and control, the current methodology is unwieldy, unreliable and expensive in time and labour. This study evaluated the dose-dependent attraction and oviposition response of gravid Culex quinquefasciatus to alfalfa infusions. Through combined chemical and electrophysiological analyses, bioactive volatile organic compounds (VOCs) in the headspace of alfalfa infusions, eliciting attraction, were identified. While phenolic and indolic compounds were the most abundant bioactive VOCs, additional VOCs, including a monoterpene, were required to elicit a significant behavioural response to the synthetic odour blend of alfalfa infusions. Comparative analysis with the commercially available mosquito oviposition pheromone (MOP) was also conducted demonstrating that this standardised synthetic alfalfa infusion odour blend offers a promising lure for targeted surveillance and control of Culex mosquitoes, which may contribute to disease prevention and public health protection.
Cyclized Polyacrylonitrile Supported Single Atom Metal Catalyst for Enhanced Photocatalytic Degradation of Organic Pollutants
Authors: Roshdy Asmaa A. , Kim Woo Kyoung , Mady Amr Hussein 
Published: July 2024

AbstractAlthough metal single atom catalysts (SAC) have been demonstrated to be effective in heterogeneous catalysis, establishing a scalable and cost-effective SAC support system remains an important challenge. Here, innovative ways to create materials that are entirely distinct from their parent characteristics for wastewater treatment and environmental challenges are proposed. Series of different molar ratio of Ag (0.01, 0.02, 0.03 and 0.04 wt%) were assigned to prepare Ag@CPAN composite and observe its impact application on photocatalytic degradation of 4-nitrophenol (4-NP) assisted by peroxymonosulfate (PMS) under visible light irradiation. The morphology and composition of the synthesized Ag@CPAN was characterized using a range of techniques. Several parameters were investigated that could influence degradation efficiency, including PMS concentration, solution pH, catalyst dosage, and initial 4-NP concentration. Under visible light irradiation, Ag@CPAN shows excellent photocatalytic performance of 4-NP, methylene blue, methyl red and RhB degradation. Ag@CPAN elucidates excellent catalytic performance while maintaining high stability up to 6 successive cycles and this backwards to synergistically effect between CPAN and Ag. Furthermore, provides an easy way to prepare a variety of SAC, and it is easily scalable with significant potential in catalytic applications.
Moving Beyond Clinical Imaginaries: Technogeographies of the Everyday Urban
Authors: Martin Daryl , Ivanova Dara , Simonsen Thorben Peter Høj 
Published: July 2024

AbstractIn this paper, we analyse the intersections between care and place in mundane spaces not explicitly designed for the provision of care, and where digital technologies are used to mediate ecologies of distress in the city. We locate our analysis alongside studies of how digital technologies impact the experience of care within non-clinical spaces, whilst noting that much research on the use of technologies for care remains haunted by clinical imaginaries. Bringing together ideas of multi-sited therapeutic assemblages, technogeographies of care, and how places-by-proxy can act as conduits for care, we explore an example of an online app being used in public space to manage experiences of anxiety in an everyday urban environment. We reflect on this illustrative example to trace the movement of care as it is mediated through digital technologies—out of the clinic, beyond the home, and into the ordinary spaces of the city. We conclude that the entanglements of digital technologies and ordinary urban places prompt us to entirely reconsider questions of the where of care.
The Emergence of Order in Many Element Systems
Authors: Einav Amit 
Published: July 2024

AbstractOur work is dedicated to the introduction and investigation of a new asymptotic correlation relation in the field of mean field models and limits. This new notion, order (as opposed to chaos), revolves around a tendency for self organisation in a given system and is expected to be observed in biological and societal models. Beyond the definition of this new notion, our work will show its applicability, and propagation, in the so-called choose the Leader model.
Radiation resistance and saturated adsorption capacity of a superabsorbent polymer and anion-supporting hydrogel for the safe storage of treated water
Authors: Higaki Shogo , Gotoh Takehiko , Kubo M. Kenya , Oishi Toru 
Published: July 2024

AbstractTreated tritium-containing water is stored in tanks at the Fukushima Daiichi Nuclear Power Plant until ocean discharge is completed; however, the risk of leakage and contamination remains. We propose the combination of a superabsorbent polymer and an anion-supporting hydrogel for the safe and long-term storage of this water. The external radiation resistance of these materials in the presence of water was investigated, and their water absorption and Cs+ and I retention capacities following irradiation to a cumulative absorbed dose of up to 40 Gy were determined. The superabsorbent polymer demonstrated good water retention and Cs+ adsorption capability. The saturated I adsorption capacity of the hydrogel was 575 ± 28 mg/g, and maintained up to an absorbed dose of 100 Gy. The proposed method can be implemented until the planned completion of water processing even if the storage location has a dose rate of 100 µGy/h.
Evaluation of the stabilizing effect and ageing time indicator properties of poly(flavonoids) in a cyclic olefin copolymer
Authors: Latos-Brozio Malgorzata , Milczarek Katarzyna , Masek Anna 
Published: July 2024

AbstractFew studies are concerned with the stabilization of polymers using natural polymeric polyphenols. There are no literature reports on the use of poly(flavonoids) produced by bio-chemical polymerization as stabilizers. The aim of the research was to analyse the stabilizing potential (anti-ageing UV) of poly(catechin) and poly(naringenin) in polymer compositions based on the thermoplastic elastomer of ethylene-norbornene copolymer (TOPAS Elastomer E-140). Poly(flavonoids) were obtained in a polymerization reaction with a cross-linking compound and then introduced into cyclic olefin copolymer TOPAS. For comparison, materials with monomeric catechin and naringenin were also prepared. The scope of research included the thermal analysis of the polymer compositions (Oxidation induction time OIT, Thermogravimetry TG), determination of carbonyl indices and ageing coefficients K (based on changes in mechanical properties) after UV ageing (400 h). In addition, the colour change after ageing of the samples was investigated. Samples containing polymeric forms of catechin and naringenin were more susceptible to degradation than samples with monomeric flavonoids. Inferior stabilizing properties of poly(flavonoids) were associated with steric hindrances and limited availability of hydroxyl groups to provide the antioxidant activity of the polymeric compounds. The work extends the literature data by providing an analysis of the stabilizing effect of synthetic poly(flavonoids) in polymer compositions.
Advances in development of biomarkers for brain damage and ischemia
Authors: Karimova Diana , Rostami Elham , Chubarev Vladimir N. , Tarasov Vadim V. , Schiöth Helgi B. , Rask-Andersen Mathias 
Published: July 2024

Abstract
Acquired brain injury is an urgent situation that requires rapid diagnosis and treatment. Magnetic resonance imaging (MRI) and computed tomography (CT) are required for accurate diagnosis. However, these methods are costly and require substantial infrastructure and specialized staff. Circulatory biomarkers of acute brain injury may help in the management of patients with acute cerebrovascular events and prevent poor outcome and mortality. The purpose of this review is to provide an overview of the development of potential biomarkers of brain damage to increase diagnostic possibilities. For this purpose, we searched the PubMed database of studies on the diagnostic potential of brain injury biomarkers. We also accessed information from Clinicaltrials.gov to identify any clinical trials of biomarker measurements for the diagnosis of brain damage. In total, we present 41 proteins, enzymes and hormones that have been considered as biomarkers for brain injury, of which 20 have been studied in clinical trials. Several microRNAs have also emerged as potential clinical biomarkers for early diagnosis. Combining multiple biomarkers in a panel, along with other parameters, is yielding promising outcomes.
A systematic review of factors, data sources, and prediction techniques for earlier prediction of traffic collision using AI and machine Learning
Authors: Niture Nandkumar , Abdellatif Iheb 
Published: July 2024

AbstractThe prevalence of road traffic collisions is a pressing issue both worldwide and within the United States. The consequences of these incidents are severe, resulting in loss of life, reduced productivity, and other socio-economic implications that demand immediate attention. To effectively address this problem, conducting an extensive literature review is crucial to identify the various causes of traffic collisions and the complex interdependencies between them. Addressing this challenge necessitates a targeted exploration of its multifaceted causes and their interrelations through an extensive literature review, incorporating the latest advancements in machine learning and deep learning techniques. However, the lack of a consensus on datasets and prediction techniques hinders the development of accurate, location-specific traffic collision predictions. By meticulously analyzing traffic collision factors and data sources and leveraging state-of-the-art ML and DL approaches, this paper endeavors to forge a pathway toward developing precise, location-adapted predictions for traffic collisions, thereby contributing significantly to the discourse on long-term preventative strategies.
Genome-wide association study on meningioma risk in Japan: a multicenter prospective study
Authors: Yamada Shuhei , Umehara Toru , Sonehara Kyuto , Kijima Noriyuki , Kawabata Shuhei , Takano Koji , Kidani Tomoki , Hirayama Ryuichi , Arita Hideyuki , Okita Yoshiko , Kinoshita Manabu , Kagawa Naoki , Fujinaka Toshiyuki , Fujita Toshiaki , Wakayama Akatsuki ,   Biobank Japan Project, Matsuda Koichi , Okada Yukinori , Kishima Haruhiko 
Published: July 2024

Abstract
Purpose
Although meningiomas are the most common primary intracranial tumors, their genetic etiologies have not been fully elucidated. To date, only two genome-wide association studies (GWASs) have focused on European ancestries, despite ethnic differences in the incidence of meningiomas. The aim of this study was to conduct the first GWAS of Japanese patients with meningiomas to identify the SNPs associated with meningioma susceptibility.

Methods
In this multicenter prospective case-control study, we studied 401 Japanese patients with meningioma admitted in five institutions in Japan, and 50,876 control participants of Japanese ancestry enrolled in Biobank Japan.

Results
The quality control process yielded 536,319 variants and imputation resulted in 8,224,735 variants on the autosomes and 224,820 variants on the X chromosomes. This GWAS eventually revealed no genetic variants with genome-wide significance (P < 5 × 10 − 8) and observed no significant association in the previously reported risk variants rs11012732 and rs2686876 due to low minor allele frequency in the Japanese population.

Conclusion
This is the first GWAS of meningiomas in East Asian populations and is expected to contribute to the development of GWAS research for meningiomas.
Measurement of odor intensity in the ground of natural slopes with a history of landslide disasters
Authors: Tsuchida Takashi , Nakayabu Kyosuke , Yuri Hiroki , Hata Toshiro 
Published: July 2024

AbstractThe smell of soil is one of the premonitory phenomena of debris flows. To clarify the relationship between landslide disasters and odors, we observed odor intensity in a ground with a history of debris flow disasters and investigated the relationship between odors and geotechnical characteristics of the soil. The odor intensity in the ground was measured at depths of 0–2.5 m on the slope of Mt. Gagara, Hiroshima University, which has a history of collapse owing to heavy rain. The method involves inserting an aluminum pipe and a Teflon tube into a hole with a diameter of 10 mm formed using a lightweight dynamic cone penetration test (LWDCPT) device and measuring the odor intensity of the sucked interstitial air using an odor measuring instrument. More than 100 odor intensities were measured at many points, which were considered recognizable without individual differences. To investigate the odor distribution in the ground, we measured the odor intensity at 19 locations within an area of 2 m × 2 m. The average odor intensity was 340 and the coefficient of variation was 0.60. This result shows that the odor distribution in the ground varied significantly. The odor in the ground was measured at depths of 30 and 50 cm on natural Masado slopes at eight locations in Hiroshima Prefecture. We observed that odor was not always present in all grounds. A weak but positive correlation was observed between the logarithm of the LWDCPT penetration resistance and odor intensity, and the relationship between odor intensity and ground constant was investigated at these eight locations. Although the odor intensity in the ground varied significantly depending on the location, a correlation between the pH and ignition loss was observed, which appeared to be linked to the activity of bacteria in the ground.
Economic impacts of an urban gully are driven by land degradation
Authors: Kuhn Caiubi Emanuel Souza , Reis Fábio Augusto Gomes Vieira , Furegatti Simone Andrea , Zarfl Christiane , Peixoto Anna Sílvia Palcheco 
Published: July 2024

AbstractThis study carries out the first evaluation of the impacts of ravines and gullies in urban areas in Brazil considering environmental damage, such as costs related to land restoration and erosion control, infrastructure destruction, economic losses and income losses related to property and urban land taxes. In this study, the city of Bauru, Brazil, has been selected as study site, where three areas were chosen due to the large impact that ravines and gullies have caused over the past two decades. Our analysis indicates that the total damage exceeds US$ 173 million and is mainly related to land degradation. The cost of replacing the eroded soil in these three areas is estimated at approximately US$ 13.3 million. Furthermore, according to our analysis, urban areas affected by ravines and gullies represent problems similar to brownfields. The assessment of the impacts and challenges associated with urban ravines and gullies can help promote accountability by those responsible for their initiation and may contribute to decreasing the development of new eroded areas.
Effective Descent Morphisms of Filtered Preorders
Authors: Clementino Maria Manuel , Janelidze George 
Published: July 2024

AbstractWe characterize effective descent morphisms of what we call filtered preorders, and apply these results to slightly improve a known result, due to the first author and F. Lucatelli Nunes, on the effective descent morphisms in lax comma categories of preorders. A filtered preorder, over a fixed preorder X, is defined as a preorder A equipped with a profunctor $$X\rightarrow A$$

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→
A

and, equivalently, as a set A equipped with a family $$(A_x)_{x\in X}$$

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x

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X

of upclosed subsets of A with $$x'\leqslant x\Rightarrow A_x\subseteq A_{x'}$$

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Group prioritarianism: why AI should not replace humanity
Authors: Hong Frank 
Published: July 2024

AbstractIf a future AI system can enjoy far more well-being than a human per resource, what would be the best way to allocate resources between these future AI and our future descendants? It is obvious that on total utilitarianism, one should give everything to the AI. However, it turns out that every Welfarist axiology on the market also gives this same recommendation, at least if we assume consequentialism. Without resorting to non-consequentialist normative theories that suggest that we ought not always create the world with the most value, or non-welfarist theories that tell us that the best world may not be the world with the most welfare, I propose a new theory that justifies giving some resources to humanity in the face of overwhelming AI well-being. I call this new theory, “Group Prioritarianism".