bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing electrical properties by in-situ controlled nanocrystallization of V2O5 -TeO2 glass
Authors: Okoczuk Piotr , Kwiatkowska Agnieszka , Murawski Leon , Pietrzak Tomasz , Wójcik Natalia A. , Garmroudi Fabian , Wicikowski Leszek , Kościelska Barbara 
Published: January 2024

Abstract
Vanadium oxide-containing materials became an interest in the energy industry, therefore, understanding the conductivity enhancement of vanadium oxide glass under annealing became crucial to further developing new, superior materials. V2O5-TeO2 glass-ceramics (VTGC) were prepared by controlled annealing of the V2O5-TeO2 glass (VTG), which serves as an illustration of a parent glass matrix with a single charge carrier. The annealing proceeded at six temperatures selected between the glass transition and the maximum of the first crystallization process to obtain various nanocrystallite sizes. Heat treatment caused an increase in DC conductivity by 2.5–3.5 (250°C-285°C) order of magnitude. Using thermal analysis, the crystal growth process was determined to be 1D. Structural studies show that the obtained materials are partially amorphous and polycrystalline with nanometer-sized crystallites. Subtle thread-like structures were observed using conductive AFM. The activation energy of the conduction process decreased from 0.38 eV in VTG to 0.18 − 0.11 eV (250°C-285°C) in VTGC. The radii of crystallites were calculated based on the theoretical model of electron hopping between connected semiconducting nanocrystallites and vary between 1.7 nm and 2.8 nm (250°C-285°C). Thermoelectric studies indicate constant carrier concentration. Features characteristic of small polaron hopping-governed materials were observed. We suggest V3O7 nano-crystals as conductive media in VTGC.
Predicting voided computerized physician order entry in oral and maxillofacial surgery inpatients: development and validation of machine learning model
Authors: Nathan John M. , Arce Kevin , Herasevich Vitaly 
Published: January 2024

Abstract
Objective
The aim of this study is to determine if supervised machine learning algorithms can accurately predict cancelled and self-intercepted computerized physician order entry in oral and maxillofacial surgery inpatients.
Methods
Data from Electronic Medical Record included patient demographics, comorbidities, procedures, vital signs, laboratory values, and medication orders were retrospectively collected. Predictor variables included patient demographics, comorbidities, procedures, vital signs, and laboratory values. Outcome of interest is if a medication order was voided or not. Data was cleaned and pro1cessed using Microsoft Excel and Python v3.12. Gradient Boosted Decision Trees, Random Forest, K-Nearest Neighbor, and Naïve Bayes were trained, validated, and tested for accuracy of the prediction of voided medication orders.
Results
37,546 medication orders from 1,204 patient admissions over 5 years were used for this study included 3,892 (10.4%) medication orders that were voided. Gradient Boosted Decision Trees, Random Forest, K-Nearest Neighbor, and Naïve Bayes had an Area Under the Receiver Operating Curve of 0.802 802 with 95% CI [0.787, 0.825], 0.746 with 95% CI [0.722, 0.765], 0.685 with 95% CI [0.667, 0.699], and 0.505 with 95% CI [0.489, 0.539], respectively. Area Under the Precision Recall Curve was 0.684 with 95% CI [0.679, 0.702], 0.647 with 95% CI [0.638, 0.664], 0.429 with 95% CI [0.417, 0.434], and 0.551 with 95% CI [0.551, 0.552], respectively.
Conclusion
Gradient Boosted Decision Trees is the best model of the supervised machine learning algorithms with satisfactory performance in validation cohort for predicting voided Computerized Physician Order Entry in Oral and Maxillofacial Surgery inpatients.
Detection and attribution for land surface air temperature Warming in China based on a perfect model selection analysis of optimal fingerprint strategy
Authors: Guo Ziyou , Li Chao , Li Qingxiang 
Published: January 2024

Abstract

Observations show that the warming trends of annual and seasonal surface air temperature (SAT) in China have been about 0.20 ~ 0.35 ℃/10a in China since the 1950s. The warming trend is higher in winter and spring than in summer and fall, and higher in the northern region than in the southern region. Additionally, the warming trend is higher in the western part of China than in the eastern part, except for spring. These variations have been well simulated by the recent CMIP6 models. Using a perfect model method, the all-forcing (ALL) + anthropogenic aerosol forcing only (AER) + natural forcing only (NAT) strategy has been applied to the detection and attribution of SAT trends in China since 1951. It is found that GHG (greenhouse gas forcing only) is detected robustly in all seasons and regions except winter in eastern China, contributing to a warming of 0.21 ~ 0.36 ℃/10a. This indicates that the greenhouse gas from human activities is the primary factor causing the warming in mainland China over the past 70 years. The contribution of the AER has only been detectable in the variations in summer of the whole mainland China and western China with neglectable effect since the late 20th century. The NAT forcing can also be neglected.
Energy calculations for sodium vs potassium on a prokaryotic voltage-gated sodium channel: a quantum study.
Authors: Ferrer Juan , Fabian Emilio San 
Published: January 2024

Abstract

The selectivity of the sodium channel has been the subject of numerous exper- imental and theoretical studies. In this work we address this problem from a theoretical point of view, based on a model built from the selectivity filter (SF) of the open structure of the voltage-activated channel of the bacterium Mag- netococcus marinus. This approach has allowed us to calculate the interaction energies of the system (cation-water-SF-fragment), both for the sodium cation and the potassium cation. The results obtained have highlighted the importance of differential dehydration of cations, as well as the environment where it occurs. Semi-empirical and ab initio methods have been applied to analyze and quantify the interaction energies when the cations are in the SF of the sodium channel, with the DFT (ab initio) methods being those that have given us the key to the distribution of the interaction energies and therefore how dehydration occurs.
The causal relationship between gut microbiota and two neoplasms, malignant and benign neoplasms of bone and articular cartilage: a two-sample mendelian randomization study
Authors: Lv Jia , Qin Xiuyu , Wang Jiani , Li Jian , Bai Junjun , Lan Yanping 
Published: January 2024

Abstract
Background
Previous research has demonstrated a close connection between the development of bone neoplasms and variations in the abundance of specific gut microbiota. It remains unclear, however, how the gut microbiota and bone neoplasms are causally related. Hence, in our study, we aim to clarify this relationship between gut microbiota and two neoplasms, malignant neoplasm of bone and articular cartilage (MNBAC) and benign neoplasm of bone and articular cartilage (BNBAC), by employing a two-sample Mendelian randomization (MR) approach.
Methods
In this study, single nucleotide polymorphisms (SNPs) from genome-wide association studies (GWAS)-pooled data related to bone neoplasms and gut microbiota abundance were evaluated. The inverse variance weighted (IVW) was employed as the major method for assessing the aforementioned causal relationship, while the weighted median, MR-Egger, weighted mode, and simple mode were employed as complementary methods. Furthermore, the horizontal multiplicity was evaluated utilizing the mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) and the MR-Egger intercept test. Cochran's Q test to evaluate heterogeneity and “leave-one-out” sensitivity analysis to determine the reliability of causality. Finally, inverse MR analysis was performed to assess reverse causality.
Results
IVW results indicate a potential genetic relationship between 4 gut microbiota and MNBAC, and 3 gut microbiota and BNBAC. On the one hand, Eubacterium eligens group (OR = 0.16, 95% CI = 0.04–0.67, P = 0.01), Odoribacter (OR = 0.23, 95% CI = 0.06–0.84, P = 0.03), Slackia (OR = 0.35, 95% CI = 0.13–0.93, P = 0.04), and Tyzzerella3 (OR = 0.44, 95% CI = 0.24–0.82, P = 0.01) exhibited a protective effect against MNBAC. On the other hand, of the three gut microbes identified as potentially causally related to BNBAC, Oscillibacter (OR = 0.79, 95% CI = 0.63–0.98, P = 0.03) and Ruminococcustorques group (OR = 0.62, 95% CI = 0.39–0.98, P = 0.04) were regarded as protective strains of B, while Eubacterium ruminantium group (OR = 1.24, 95% CI = 1.04–1.47, P = 0.02) was considered to be a risk factor for increasing the incidence of BNBAC. Additionally, the bone neoplasms were not found to have a reverse causal relationship with the above 7 gut microbiota taxa. No heterogeneity or horizontal pleiotropy was identified in this study.
Conclusion
The causal relationship between the gut microbiota and two neoplasms, MNBAC and BNBAC, was revealed in this two-sample MR study. Of course, further research needs to be conducted to verify the above findings.
Efficient quantum circuit contraction using Tensor Decision Diagrams
Authors: Lopez-Oliva Vicente , Badia Jose M. , Castillo Maribel 
Published: January 2024

Abstract
Quantum computing holds the potential to solve complex problems currently beyond the capabilities of classical computers by exploiting the principles of quantum mechanics. However, due to the immaturity of such computers and the inability to know the state of the circuit during execution, efficient quantum simulators on classical computers are needed. This paper compares different methods for the contraction of quantum circuits represented as tensor networks. Tensor Decision Diagrams (TDD) are used to implement two contraction ordering methods that exploit the structure of the circuits to reduce temporal and spatial costs. Experimental results show that these methods improve other well established approaches and that they are faster that other well-known simulation tools based on other circuit representations. In addition, an analysis of different implementations of the same quantum algorithm highlights the impact of gate sets on contraction efficiency.
New record of southern right whale dolphin, Lissodelphis peronii (Lacépède, 1804), in coastal waters of Brazil
Authors: Arrial Luiz Gustavo Ramos , Correa Thayusky Penha , de Castilho Pedro Volkmer , Machado Rodrigo 
Published: January 2024

Abstract

The southern right whale dolphin, Lissodelphis peronii (Lacépède, 1804), is a species of cetacean that is distributed in cold and deep waters throughout the Southern Hemisphere, with records in coastal waters of the Western Atlantic Ocean being extremely rare and difficult to confirm. In 2019, a recording was made of a specimen, still alive, entangled in a beachside fishing gillnet at Cardoso Beach (-28.6073844°S, -48.8247058°W), in the state of Santa Catarina, on the southern coast of Brazil. The recording was made by a lifeguard using a GoPro camera, made available through citizen science. The animal was untangled and released while still alive, and was not found stranded again after the date of the event. Based on existing literature, this is the second record of the species in Brazilian waters. Analyzing meteorological and oceanographic features from the days preceding the record, it was not possible to make any association between the stranding and the variables analyzed, and it was most likely the record of an individual disoriented due to unknown factors.
Arid1a-dependent canonical BAF complex suppresses inflammatory programs to drive efficient Germinal Center B cell responses
Authors: Abraham Ajay , Samaniego-Castruita Daniela , Paladino Jillian , Han Isabella , Ramesh Prathyaya , Tran Mi Thao , Southern Rebecca M , Shukla Ashima , Shukla Vipul 
Published: January 2024

Abstract
Differentiating B cells in germinal centers (GC) require tightly coordinated transcriptional and epigenetic transitions to generate efficient humoral immune responses. The mammalian Brg1/Brm-associated factor (BAF) complexes are major regulators of nucleosomal remodeling, crucial for cellular differentiation and development, and are commonly mutated in several cancers, including GC-derived B cell lymphomas. However, the specific roles of distinct BAF complexes in GC B cell biology and generation of functional humoral immune responses are not well understood. Here, we show that the A–T Rich Interaction Domain 1a (Arid1a) containing canonical BAF (cBAF) complex is required for maintenance of GCs and therefore high affinity antibody responses. While Arid1a-deficient B cells undergo activation to initiate GC responses, they fail to sustain the GC program resulting in premature GC collapse. We discovered that Arid1a-dependent cBAF activity establishes permissive chromatin landscapes during B cell activation and is concomitantly required to suppress inflammatory gene programs to maintain transcriptional fidelity in early GC B cells. Interestingly, the inflammatory signatures instigated by Arid1a deficiency in early GC B cells recruited neutrophils and inflammatory monocytes and eventually disrupted GC homeostasis. Dampening of inflammatory cues with anti-inflammatory glucocorticoid receptor signaling rescued GC B cell differentiation of Arid1a-deficient B cells, thus highlighting a critical role of inflammation in impeding GC responses. In sum, our work identifies essential functions of Arid1a-dependent BAF activity in promoting efficient GC responses. These findings further support an emerging paradigm in which unrestrained inflammation limits GC-derived humoral responses, as reported in the context of severe bacterial and viral infections.
Effect of Low Vacuum Medium Temperature Drying on Reduction of Residual Stress and Correction of Warp of Japanese Cedar Timber
Authors: Jiang Zhuoting , Yamamoto Hiroyuki , Yoshida Masato , Dohi Motoo , Tanaka Kento , Yamashita Kana , Watanabe Ken 
Published: January 2024

Abstract
In Japan, the increasing utilization of large-diameter logs has become an important issue, and effectively utilizing these logs has been a key topic of discussion. When producing timber-without-pith from large-diameter logs, unavoidable warp occurs due to the release of residual stress within the logs. And warp is the most serious processing problem compared to other factors as cracks. Warp can adversely affect the production efficiency and economic returns of the timber. Utilizing high-temperature drying with load to those timber has achieved significant drying effects, and residual stress-induced warp was corrected and maintained at the same level for up to six months after drying. However, high-temperature drying comes with drawbacks such as high energy consumption which connects to long treatment period and potential for thermal degradation. To achieve the same effect as high-temperature drying to correct warp, and to reduce residual stress, but with shorter treatment period and avoid thermal degradation, this study applied low vacuum medium temperature drying to large-diameter logs. Through this method, effective drying is achieved, residual stress is reduced and warp are corrected to a certain extent. Low vacuum medium temperature drying is practical as a drying method for timber from large-diameter logs because it is effective in reducing residual stress and correcting warping, while at the same time shortening the treatment period and avoiding thermal degradation.
Ar-O 2 plasma treatment of polyvinyl chloride surface enhanced antimicrobial properties of quaternary ammonium coating
Authors: Sui Siyuan , Ni Guohua , Sun Hongmei , Kong Ling , Sun Tao 
Published: January 2024

Abstract
In the present work, polyvinyl chloride (PVC) was activated by Ar-O2 plasma and grafted with quaternary ammonium compound (QAC) in order to improve QAC coating antimicrobial properties. The PVC surface treated with Ar and Ar-O2 plasma, both surface coated with QAC were characterized to compare its properties. Chemical composition of PVC surface treated with Ar and Ar-O2 did not differ but a significantly difference in morphology. Surface of Ar-O2 plasma treated PVC exhibited the formation of a mesh-shaped nanostructure consist of 15 nm high spikes, while the PVC surface treated with Ar plasma remained smooth. The application of the QAC coating on the PVC surface treated with Ar-O2 plasma resulted in ridge-shaped nanostructures distribute of smaller and denser 6 nm high spikes. Antibacterial assessments have demonstrated that the QAC coating with the mesh-shaped nanostructured morphology on Ar-O2 plasma treated PVC, exhibits enhanced antimicrobial potency against Staphylococcus aureus. This study introduces a novel approach to enhance the antibacterial efficacy of coatings.
Study on parallel linkage type forging operator hanging mechanism
Authors: zhang Qiliang , Yang Jin , Ding Wangcai 
Published: January 2024

Abstract
Considering the hanging mechanism of the parallel link forging manipulator, we analyzed the forging process of the workpiece and parameters of the typical forging process to determine the influence of the press-down amount and workpiece elongation on the manipulator during the forging process. According to the structure and working characteristics of the buffer cylinder, we also simplified the stress analysis model of the hanging mechanism, studied the stress state, and obtained the key factors affecting the stress on the rod of the hanging mechanism. Based on the forging process of the workpiece and stress state of the hanging mechanism, the correlation between the hanging mechanism and the forging process was explored, and the working principle for the hanging mechanism was determined. Consequently, the design idea of the hanging mechanism was proposed. Combined with the working characteristics of the leveling and buffer cylinders, the working state of the accumulator connected to them was analyzed, and the idea of determining the performance parameters of the accumulator was clarified. By the correlation analysis of the forging process parameters, the structural parameters of the hanging mechanism, working parameters of the accumulator connected to the leveling and buffer cylinders, key factors affecting the hanging mechanism were determined. Thus, the design method of the hanging mechanism was clarified, laying a theoretical foundation for the research and structural design of the heavy-duty forging manipulator.
Experimental and Numerical Study on Jet Sand Bed Erosion
Authors: Shengqun Jiang , Jixiang Yue , Xinghui Tian , Yancong Liu 
Published: January 2024

Abstract
Water jet technique is widely used in the dredging of rivers and canals, and has significant engineering value. This work develops the sediment dynamic model to build a velocity-based bed load sediment transport model. The process of low-pressure water jet river bed erosion was investigated at various water jet pressures and nozzle outlet diameters, with the Shields Parameter serving as the sediment initiation threshold. The process of developing a flow scour pit is divided into three key stages: particle triggering, quick development, and dynamic equilibrium. A transient simulation of submerged three-dimensional jet erosion was performed using a mixture model in Fluent software, with the laboratory physical model parameters as reference. The numerical simulation findings that the erosion sand pit characteristic parameters agreed with experimental data, and the particle initiation model was also confirmed. An empirical formula was established based on numerical modeling and experimental data to estimate the characteristic size of the scouring pit during jet erosion equilibrium.
Advancing low-flow quantile estimation: The role of areal scale factor (ASF) and annual flow–duration curves
Authors: Asikoglu Omer Levend , Narin Tugce 
Published: January 2024

Abstract

Estimating the streamflow corresponding to a particular probability is of great importance in many hydrological studies, such as determining hydroelectric water potential, assessing water quality, and investigating sedimentation and drought. This paper aims to effectively estimate low-flow quantiles since hydrologic droughts motivate the study. The study illustrates a methodology, where droughts are characterized by the lower part of the flow–duration curve (FDC), and offers a perspective estimating low-flow quantiles related to the basin characteristics. Low-flow quantiles are derived both from traditional FDCs curves and median annual FDCs (AFDCs). As an innovation, the concept of areal scale factor, which represents a scaling ratio between the basin area and flow quantiles, was introduced. Unlike many other parametric approaches, this study models the streamflow quantiles depending on the basin characteristics instead of the parameters in the analytical equation of FDCs. The methodology was evaluated for the Western and Southwestern Anatolia regions in Turkey. The outcomes were compared for two types of FDCs in two regions. The approach gave similar results for both study regions. AFDCs provided a distinct advantage over traditional FDCs, especially for low-flow quantiles, due to the superiority of AFDCs in estimating streamflow quantiles of intermittent streams.
Adsorptive removal of reactive yellow 145 dye from textile industry effluents using teff straw-activated carbon: RSM-based process optimization
Authors: Merine Melkamu Kifetew , Venkatesa Prabhu Sundramurthy , Worku Zemene , Fito Jemal , Alemayehu Esayas 
Published: January 2024

AbstractThe study was focused on preparing activated carbon from one of the predominant agro-wastes, teff straw (TS), through chemical activation and investigating the optimum process condition for removing the reactive yellow 145 dye (RY 145) from simulated textile effluent and chemical oxygen demand (COD) from textile industry effluent. The prepared activated carbon (TSAC) was characterized using Fourier transform infrared (FTIR), scanning electron microscopy (SEM), point of zero charge (pHpzc), X-ray diffraction (XRD), and Brunauer–Emmett–Teller (BET) surface area. Response surface methodology (RSM) was adopted to optimize the process variables. Optimum parameters for the removal of RY 145 dye were contact time, pH, adsorbent dose, and initial dye concentration of 120 min, 2, 0.4 g, and 0.3 g/L, respectively, and 97% removal efficiency was achieved. The experimental data that well-fitted with the pseudo-second-order kinetic model, while examining isotherms, was the Langmuir model. Furthermore, the TSAC reusability study confirmed that TSAC can be used multiple times in dye removal from wastewater. These results suggested that a low-cost and eco-friendly bio-based adsorbent, TSAC, could be a promising and reusable adsorbent that could be an alternative for commercial activated carbon to be applied in polluted wastewater treatment.