bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of TENS therapy in reducing the incidence of post‐Caesarean section wound infection
Authors: Qin Yaoqin , Liu Chun Lei , Liu Lu 
Published: July 2024

AbstractThe occurrence of wound infection following a Caesarean section procedure poses a substantial clinical obstacle. Transcutaneous Electrical Nerve Stimulation (TENS) has been identified as a promising supplementary treatment option for improving the healing process and decreasing the incidence of infections. This study assessed the efficacy of TENS therapy in the postoperative care of patients who have had Caesarean section. We randomly assigned a total of 108 women who had Caesarean sections to either a TENS group (n = 54) or control (n = 54). The TENS therapy was provided twice daily for a duration of 30 min for the period of 14 days following the surgery. The main measure of interest in this study was the occurrence of wound infection during 30‐day period. Additionally, secondary measures included the rate of wound healing, levels of pain experienced and level of patient satisfaction. In comparison to the control (22.2%, p < 0.05), the TENS group had notably reduced occurrence of wound infection, with the rate of 7.4%. TENS group had superior wound healing results, as measured by REEDA scale, at 7 days (2.1 ± 0.8 vs. 2.5 ± 1.0, p < 0.04), 14 days (1.2 ± 0.5 vs. 1.9 ± 0.7, p < 0.05) and 30 days (0.3 ± 0.5 vs. 0.7 ± 0.6, p < 0.05). Furthermore, TENS group had reduced pain levels on the Visual Analog Scale (VAS) at all evaluation intervals (p < 0.05). TENS group exhibited significantly higher levels of patient satisfaction, as evidenced by 64.8% of participants rating high satisfaction, in contrast to 40.7% in the control group (p < 0.05). The incidence of adverse effects was found to be minor, as indicated by a skin irritation rate of 3.7% and reported discomfort rate of 1.9% at the electrode location. TENS therapy effectively decreased the occurrence of post‐Caesarean wound infections, expedited the healing process and enhanced pain control. This treatment was well‐received by patients and had little negative consequences. The aforementioned results provided evidence in favour of incorporating TENS into post‐Caesarean care regimens, which may have significant consequences for improving patient outcomes and maximizing healthcare resources.
Structure evolution of the silica glass under the vibration field through molecular dynamics simulations
Authors: Wang Feimei , Liu Jiawei , Zhang Yajiao , Yan Jingping , Li Boyuan , Jiang Fangling , Qian Min , Deng Lu , Yu Chunlei , Hu Lili 
Published: July 2024

AbstractSilica glass has found wide applications, including space shuttle windows, optical fibers, and deep ultraviolet light lens elements, due to its excellent optical, electrical, and mechanical properties. However, understandings of its structure change under the vibration field are limited in literature. In this work, the structure of silica glass and its behavior under the vibration field have been investigated through molecular dynamics simulations. The short and medium‐range structures, including coordination number, Qn species distribution, pair distribution function, and bond angle distribution, were analyzed. It was found that the overall and local structures of silica glass showed periodic changes under the vibration field. The root‐mean‐square displacements as well as the kinetic energies of the atoms in the system were further analyzed. The results show that there is a periodic transformation of kinetic and potential energies. In addition, the kinetic energy decreases and is converted into the thermal energy during the vibration, which is confirmed by the increase of the system temperature. This can explain the thermoelastic loss mechanism in energy dissipation from literature. This work reveals the structure evolution and energy change of glass under the vibration field from atomistic level, which provides important understandings for related researches.
Investigation of the thermal conductivity of SiO2 glass using molecular dynamics simulations
Authors: Yang Yongjian , Tokunaga Hirofumi , Hayashi Kazutaka , Ono Madoka , Mauro John C. 
Published: July 2024

AbstractA recent study showed that generating local crystalline paths within a glassy matrix provides only a moderate increase in thermal conductivity until the path fills most of the total volume. It was indicated that percolation theory governs the thermal conductivity in such crystalline‐implanted glass composites. In this study, we use computer simulations to investigate the effect of partial vitrification by breaking structural order of silica crystals by local vitrification. Such locally vitrified crystal structures are made by the bond‐transposition method, where the extent of vitrification can be tuned. Also, we test melt‐quenching of three SiO2 crystalline structures (α‐quartz, coesite, and stishovite) to make silica glasses with different densities. The cooling rates and pressures were varied during the melting process in order to obtain glass structures with varied degrees of order. Our results show that the thermal conductivity of silica glasses calculated using Green–Kubo relation decreases rapidly as soon as the crystallinity is disturbed by bond transition or generated local glassy phase. This implies the phonon mean free path rapidly shrinks with even a small number of scatterers, regardless of the original polymorph. Through the investigation of the pressure effect, a strong proportional relation between the thermal conductivity and the density is found among all silica samples. Such correlation can be accounted by assuming a constant integral term in the Green–Kubo relation without the volume scaling, which is reasonable based on a weak dependence of κV on the density of silica glass except with a slight increase at low quench pressures. We hypothesize that when the quench pressure increases moderately, an increase of characteristic ring size tends to generate a more flexible SiO2 structure which results more phonon scattering. Green–Kubo modal analysis further shows that the contribution from modes at low frequencies is suppressed when SiO2 is melt‐quenched at higher pressure and vice versa.
The use of anthropogenic areas helps explain male brown bear movement rates and distance travelled during the mating season
Authors: Falcinelli D. , del Mar Delgado M. , Kojola I. , Heikkinen S. , Lamamy C. , Penteriani V. 
Published: July 2024

AbstractDuring the reproductive period, mating strategies are a significant driver of adaptations in animal behaviour. For instance, for polygamous species, greater movement rates during the mating season may be advantageous due to the increased probability of encountering several potential mates. The brown bear Ursus arctos is a solitary carnivore that lives at low densities, with a polygamous mating system and an extended mating season of nearly 3 months. Here, we hypothesized that male brown bears may show changes in movement patterns and space‐use behaviour during their mating season. Using long‐term (2002–2013) telemetry data from the Finnish Karelia male population (n = 24 individuals; n = 10 688 GPS locations), we first analysed daily movement metrics, that is, speed, net and total distance with respect to the period (mating vs. post‐mating) and several environmental predictors. Then, we conducted a step‐selection analysis for each of these periods. Throughout the year, male bears selected forested/shrub habitats and increased movement rates near main roads. During the mating season, reproductive needs seem to trigger roaming behaviour in adult males to maximize encounter rates with potential receptive females. However, all movement metrics increased within areas of high human activity, suggesting a bear response to a higher risk perception while using those areas. During the post‐mating period, overlapping with the bear hyperphagia and the hunting season, males selected anthropogenic areas farther from main roads and trails, suggesting a trade‐off between foraging opportunities and risk avoidance.
Head and neck complications of cancer therapies: taste and smell
Authors: Barasch Andrei , Epstein Joel B. , Doty Richard L. 
Published: July 2024

AbstractSensory deficits affect awareness of the environment and information processing, leading to dysfunction that may have significant consequences. Deterioration of taste and/or smell sensation has been linked to impaired nutritional intake, and overall decreased quality of life (QoL). Recent data suggest that loss of these senses is also associated with cognitive decline and worse overall cancer treatment prognosis. Cancer therapies have commonly been associated with sensory deterioration. We review these associations with taste and smell in light of new findings and discuss potential prophylactic and therapeutic modalities for taste and smell function.
Mereological Models of Spacetime Emergence
Authors: Pohlmann Jessica 
Published: July 2024

AbstractRecent work in quantum gravity has prompted a re‐evaluation of the fundamental nature of spacetime. Spacetime is potentially emergent from non‐spatiotemporal entities posited by a theory of quantum gravity. Recent efforts have sought to interpret the relationship between spacetime and the fundamental entities through a mereological framework. These frameworks propose that spacetime can be conceived as either having non‐spatiotemporal entities as its constituents or being a constituent part of a non‐spatiotemporal structure. I present a roadmap for those interested in exploring the role of composition in understanding the emergence of spacetime. I establish a taxonomy based on four crucial parameters that should be considered when constructing potential mereological models. Subsequently, I connect these models to a range of perspectives found in current literature, with the aim of pinpointing areas that require further exploration. Finally, I identify three potential challenges facing mereological models of spacetime emergence, rooted in issues of mereological harmony, the distinction between continuous and discrete spacetime, and the implications of quantum superposition.
Agreement Between the 2- and 3-Step Methods for Identifying Subtle Menstrual Disturbances
Authors: Noordhof Dionne A. , Taylor Madison Y. , De Martin Topranin Virginia , Engseth Tina P. , Sandbakk Øyvind , Osborne John O. 
Published: July 2024

Recent methodological recommendations suggest the use of the “3-step method,” consisting of calendar-based counting, urinary ovulation testing, and serum blood sampling, for the identification of subtle menstrual disturbances (SMDs). However, the use of the 3-step method is not always feasible, so a less demanding combination of calendar-based counting and urinary ovulation testing, that is, the 2-step method, may be a viable alternative. Purpose: To investigate the agreement between the 2- and 3-step methods for the detection of SMDs. Methods: Menstrual cycles (MCs, 98) of 59 athletes were assessed using the 2- and 3-step methods. Regular-length MCs (ie, ≥21 and ≤35 d) were classified as either having no SMD (luteal phase length ≥10 d, midluteal progesterone concentration ≥16 nmol·L−1, and being ovulatory) or having an SMD (eg, short luteal phase [<10 d], inadequate luteal phase [midluteal progesterone concentration <16 nmol·L−1], or being anovulatory). Method agreement was assessed using the McNemar test and Cohen kappa (κ). Results: Substantial agreement was observed between methods (κ = .72; 95% CI, .53–.91), but the 2-step method did not detect all MCs with an SMD, resulting in evidence of systematic bias (χ2 = 5.14; P = .023). The 2-step method detected 61.1% of MCs that had an SMD ([51.4, 70.8]), as verified using the 3-step method, and correctly identified 100% of MCs without an SMD. Conclusions: MCs classified as being disturbed using the 2-step method could be considered valid evidence of SMDs. However, MCs classified without SMDs do not definitively confirm their absence, due to the proven underdetection via the 2-step method.
Supplemental Material: Rupture segmentation on the East Anatolian fault (Turkey) controlled by along-strike variations in long-term slip rates in a structurally complex fault system
Authors: Wang Binhao , Barbot Sylvain 
Published: July 2024

<p>Complementary information in the form of six texts, five tables, 10 figures, and a text file that contains the input parameters for the preferred model. </p>
Influence of Absorbing Layers on the Average Dose and Dose Uniformity during Irradiation with 1–3 MeV Electrons
Authors: Bludenko A. V. , Ponomarev A. V. 
Published: July 2024

Abstract
Electron beams with energies up to 3 MeV, widely used in technological and research practice, have a relatively low penetration depth into matter, and the inhomogeneity of energy absorption can reach 30% per 1 mm of path. High heterogeneity, as well as the high cost of radiation, requires the researcher to have skills in optimizing the uniformity of irradiation and reducing energy losses. This work presents the dependences of the average absorbed dose and dose heterogeneity for irradiation of liquid with a horizontal beam in test tubes or tubes with different glass wall thicknesses (0.2–2 mm Pyrex). The dependences are applicable to refining, predicting, and analyzing the distribution of absorbed dose in materials.
An Illuminating Physical View on the Principles of “3 Generations” Structure of Elementary Particles, and on Evolution of Universe–Energy Basic State Field of the Universe (IV)
Authors: Yang Xiaodong , Yang Yuchen , Zhen Luo , Bi Yuanbo 
Published: July 2024

In this paper, we review the history research on the principles of “3 generations” structure of elementary particles, including Steven Weinberg’s basic physical ideas on the Standard Model of elementary particles, and Barr and Zee’s research and so on. We propose a physical view on the “Dual-production” of quarks and leptons in the evolution of the universe, according to our exiting physical views on the systematic evolution of cosmic and the fundamental theory of EBSF. As for the three generation structure of elementary particles, we propose that the three-generation structure of particle correspond to the evolution of the universe from the plasma quantum state (for the exiting physical phase states of matter formed by the early cosmic evolution, see Y. Xiaodong, Y. Yuchen, L. Zhen and Y. Bi, Rep. Adv. Phys. Sci. 2 (2023) 2250007) to today’s celestial matter, which has undergone three (only three) important physical phase changes in the composition of material structures; that is, each generation of elementary particle structure is the physical elementary phase structure of every stage on condense and sedimentary physical celestial phase. These three stages of condense and sedimentary celestial phase can be simply likened to the three stages of gas, liquid and solid in condensed matter physics, which are essentially formed by the interweaving of cosmic matter formed in the early evolution and the exciters of current-cosmic-evolution EBSF, of course, there is also the complex role of the differentiation inherent time of universe evolution. We analyze that these views not only do not contradict our existing physical theories, but also better understand the nature of its physics and science. The three-generation structure of elementary particles corresponds to a historical epoch in the evolution of the universe, and called the one Mini-era of the domino mechanism before Weinberg’s famous picture <the First Three Minutes>. Although our analysis is somewhat phenomenological, it is still necessary to establish the evolution equation from the plasma state of the early universe to the current physical phase of cosmic celestial matter. More cosmic observation and more experiment data are needed in order to establish the precise quantification of the mathematical physics equations on the evolution process. But we believe that it has a major breakthrough in physical thought, and for the first time, human beings were able to rationally explain the three-generation structure of elementary particles, able to reveal the mystery of the generations of elementary particles in physics.
AI-Driven Forecasting for Morning Fog Expansion (Sea of Clouds)
Authors: Ohashi Yukitaka , Hara Kazuki 
Published: July 2024

Abstract
This study attempted to forecast the morning fog expansion (MFE), commonly referred to as the “sea of clouds,” utilizing an artificial intelligence (AI) algorithm. The radiation fog phenomenon that contributes to the sea of clouds is caused by various weather conditions. Hence, the MFE was predicted using datasets from public meteorological observations and a mesoscale numerical model (MSM). In this study, a machine learning technique, the gradient-boosting method, was adopted as the AI algorithm. The Miyoshi basin in Japan, renowned for its MFE, was selected as the experimental region. Training models were developed using datasets from October to December 2018–21. Subsequently, these models were applied to forecast MFE in 2022. The model employing the upper-atmospheric prediction data from the MSM demonstrated the highest robustness and accuracy among the proposed models. For untrained data in the fog season during 2022, the model was confirmed to be sufficiently reliable for forecasting MFE, with a high hit rate of 0.935, a low Brier score of 0.119, and a high area under the curve (AUC) of 0.944. Furthermore, the analysis of the importance of the features elucidated that the meteorological factors, such as synoptic-scale weak wind, temperatures close to the dewpoint temperature, and the absence of middle-level cloud cover at midnight, strongly contribute to the MFE. Therefore, the incorporation of upper-level meteorological elements improves the forecast accuracy for MFE.

Significance Statement
An AI-driven forecasting model for predicting morning fog expansion (MFE), sea of clouds, which often affects local livelihoods, was constructed. Fog forecasting machine learning techniques were utilized in the Japanese region famous for the morning fog. This study revealed that more accurate forecasting models incorporate numerically predicted weather elements sourced from the public routine system rather than real-time observed weather elements. Notably, the upper-level wind speed reflecting synoptic-scale dynamics, surface dewpoint depression, and middle-level cloud cover play significant roles in governing MFE. Therefore, incorporating upper-level meteorological elements into the features to machine learning is crucial for improving the forecasting accuracy of MFE.
Optimising the use of colonoscopy to improve risk stratification for colorectal cancer in symptomatic patients: A decision-curve analysis
Authors: Lucocq James , Barron Emma , Holmes Heather , Donnelly Peter D , Cruickshank Neil 
Published: July 2024

Objectives Pressured healthcare resources make risk stratification and patient prioritisation fundamental issues for the investigation of colorectal cancer (CRC) in symptomatic patients. The present study uses machine learning algorithms and decision strategies to improve the appropriate use of colonoscopy. Design All symptomatic patients in a single health board (2018–2021) proceeding to colonoscopy to investigate for CRC were included. Machine learning algorithms (NeuralNetwork, randomForest, Logistic regression, Naïve-Bayes and Adaboost) were used to risk-stratify patients for CRC using demographics, symptoms, quantitative faecal immunochemical test (qFIT) and haematological tests. Decision curve analyses were performed to determine the optimal decision strategies. Results 3776 patients were included (median age, 65; M:F,0.9:1.0) and CRC was identified in 217 patients (5.7%). qFIT > 400 μg Hb/g was the most important variable (%IncMSE = 78.5). RandomForrest had the highest area under curve (0.91) and accuracy (0.80) for CRC. When utilising decision curve analysis (DCA), 30%, 46% and 54% of colonoscopies were saved at accepted CRC probabilities of 1%, 2% and 3%, respectively. RandomForrest modelling had superior net clinical benefit compared to default colonoscopy strategies. Conclusions MLA-derived decision strategies that account for patient and referrer risk preference reduce colonoscopy demand and carry net clinical benefit compared to default colonoscopy strategies.
Anxiety symptoms and risk factors in patients with SARS‐CoV‐2 Omicron variant in Shanghai, China
Authors: Chen Qing , Chen Yong , Huang Yi , Yang Qinglin , He De-ying , Fang Bang-jiang , Ren Yi , Liu Jun 
Published: July 2024

Objectives The psychological effects of the COVID-19 pandemic have been shown to include anxiety. However, the association between demographic and physiological factors in COVID-19-associated anxiety symptoms is poorly understood. Therefore, the present cross-sectional study was conducted to examine anxiety symptoms and associated factors among patients with the SARS-CoV-2 Omicron variant during the quarantine period in Shanghai. Methods The study was conducted between April 16, 2022, and May 21, 2022, at Fangcang Shelter Hospital in Shanghai, China. Data were collected using an anonymous online questionnaire. Demographic characteristics, respiratory symptoms, vaccine dose, comorbidities (such as hypertension and diabetes), type of work, and mental health symptoms were evaluated. Logistic regression was used to examine the relationship between anxiety symptoms and risk factors. Stratified analyses were performed to investigate potential interactions. Results A total of 2132 patients with confirmed Omicron variant SARS-CoV-2 infection were enrolled. The results demonstrated that female gender (OR = 1.47, 95% CI = 1.11-1.94), nonmanual labor (OR = 1.62, 95% CI = 1.25-2.09), respiratory symptoms (OR = 3.19, 95% CI = 2.30-4.43), and having other comorbidities (OR = 1.65, 95% = 1.09-2.50) were positively associated with anxiety symptoms. A significant interaction was found between gender and (a) nonmanual labor (OR = 1.54, 95% = 1.29-1.85), (b) respiratory symptoms (OR = 2.06, 95% = 1.72- 2.48), and (c) comorbidities (OR = 1.57, 95% = 1.16-2.12), such that the relationship with anxiety symptoms was stronger in women compared to men. There were also significant interactions between age group and (a) nonmanual labor (stronger in those ages >46) and (b) respiratory symptoms (stronger in those ages 36-45) regarding the association with anxiety symptoms. Conclusions Alleviation of respiratory symptoms, addressing comorbidities, and implementation of both psychological and psychopharmacological treatments may help reduce anxiety symptoms following infection with the SARS-CoV-2 Omicron variant in mainland China.