bluuebunny/crossref_metadata_2025_split huggingface dataset:
Voluntary alcohol intake alters the motivation to seek intravenous oxycodone and neuronal activation during the reinstatement of oxycodone and sucrose seeking
Authors: Wilkinson Courtney S. , Blount Harrison L. , Davis Shane , Rojas Giselle , Wu Lizhen , Murphy Niall P. , Schwendt Marek , Knackstedt Lori A. 
Published: November 2023

AbstractOpioid-alcohol polysubstance use is prevalent and worsens treatment outcomes. Here we assessed whether co-consumption of oxycodone and alcohol influence the intake of one another, demand for oxycodone, and the neurocircuitry underlying cue-primed reinstatement of oxycodone-seeking. Male and female rats underwent oxycodone intravenous self-administration (IVSA) with homecage access to alcohol (20% v/v) and/or water immediately after the IVSA session. Next, economic demand for intravenous oxycodone was assessed while access to alcohol and/or water continued. Control rats self-administered sucrose followed by access to alcohol and/or water. Rats underwent a cue-primed reinstatement test and brains were processed for c-fos mRNA expression. While both sexes decreased oxycodone intake if they had access to alcohol, and decreased alcohol intake if they had access to oxycodone, only female oxycodone + alcohol rats exhibited decreased demand elasticity and increased cue-primed reinstatement. Alcohol consumption increased the number of basolateral and central amygdala neurons activated during sucrose and oxycodone reinstatement and the number of ventral and dorsal striatum neurons engaged by sucrose reinstatement. Nucleus accumbens shell dopamine 1 receptor expressing neurons displayed activation patterns consistent with oxycodone reinstatement. Thus, alcohol alters the motivation to seek oxycodone in a sex-dependent manner and the neural circuitry engaged by cue-primed reinstatement of sucrose and oxycodone-seeking.
An adaptively multi-correlations aggregation network for skeleton-based motion recognition
Authors: Yin Xinpeng , Zhong Jianqi , Lian Deliang , Cao Wenming 
Published: November 2023

AbstractPrevious work based on Graph Convolutional Networks (GCNs) has shown promising performance in 3D skeleton-based motion recognition. We believe that the 3D skeleton-based motion recognition problem can be explained as a modeling task of dynamic skeleton-based graph construction. However, existing methods fail to model human poses with dynamic correlations between human joints, ignoring the information contained in the skeleton structure of the non-connected relationship during human motion modeling. In this paper, we propose an Adaptively Multi-correlations Aggregation Network(AMANet) to capture dynamic joint dependencies embedded in skeleton graphs, which includes three key modules: the Spatial Feature Extraction Module (SFEM), Temporal Feature Extraction Module (TFEM), and Spatio-Temporal Feature Extraction Module (STFEM). In addition, we deploy the relative coordinates of the joints of various parts of the human body via moving frames of Differential Geometry. On this basis, we design a Data Preprocessing Module (DP), enriching the characteristics of the original skeleton data. Extensive experiments are conducted on three public datasets(NTU-RGB+D 60, NTU-RGB+D 120, and Kinetics-Skeleton 400), demonstrating our proposed method’s effectiveness.
Association of SARS-CoV-2 infection with physical activity domains and types
Authors: Vanhelst Jérémy , Srour Bernard , Bourhis Laurent , Charreire Hélène , VerdotDeschasaux-Tanguy Charlotte Mélanie , Druesne-Pecollo Nathalie , de Edelenyi Fabien Szabo , Allègre Julien , Allès Benjamin , Deschamps Valérie , Bellicha Alice , Fezeu Leopold K. , Galan Pilar , Julia Chantal , Kesse-Guyot Emmanuelle , Hercberg Serge , Bajos Nathalie , Severi Gianluca , Zins Marie , de Lamballerie Xavier , Carrat Fabrice , Oppert Jean-Michel , Touvier Mathilde ,   the SAPRIS, SAPRIS-SERO Study Groups, Blanché Hélène , Deleuze Jean-François , Lusivika-Nzinga Clovis , Pannetier Gregory , Lapidus Nathanael , Goderel Isabelle , Dorival Céline , Nicol Jérôme , Robineau Olivier , Kab Sofiane , Renuy Adeline , Le-Got Stéphane , Ribet Céline , Pellicer Mireille , Wiernik Emmanuel , Goldberg Marcel , Artaud Fanny , Gerbouin-Rérolle Pascale , Enguix Mélody , Laplanche Camille , Gomes-Rima Roselyn , Hoang Lyan , Correia Emmanuelle , Barry Alpha Amadou , Senina Nadège , Esseddik Younes , Deschasaux Mélanie , Sébaoun Jean-Marc , Beaudoin Jean-Christophe , Gressin Laetitia , Morel Valérie , Ouili Ouissam , Ninove Laetitia , Priet Stéphane , Villarroel Paola Mariela Saba , Fourié Toscane , Ali Souand Mohamed , Amroun Abdenour , Seston Morgan , Ayhan Nazli , Pastorino Boris 
Published: November 2023

AbstractLockdown imposed in the early phase of the SARS-CoV-2 outbreak represented a specific setting where activity was restricted but still possible. The aim was to investigate the cross-sectional associations between physical activity (PA) and SARS-CoV-2 infection in a French population-based cohort. Participants completed a PA questionnaire. PA was classified into: (i) total PA; (ii) aerobic PA by intensity; (iii) strengthening PA; (iv) PA by domain and type; and (vii) by location. Sedentary time was also recorded. Seroprevalence of anti-SARS-CoV-2 antibodies was assessed. Multivariable logistic regression models controlling for sociodemographic, lifestyle, anthropometric data, health status, and adherence to recommended protective anti-SARS-CoV-2 behaviours were computed. From 22,165 participants included, 21,074 (95.1%) and 1091 (4.9%) had a negative and positive ELISA-S test result, respectively. Total PA, vigorous PA, leisure-time PA, household PA, outdoor PA and indoor PA were all associated with lower probability of SARS-CoV-2 infection. Observations made in such a setting shed light on PA possibilities in a context of restricted mobility, where the health benefits of PA should not be overlooked. Along with already well-established benefits of PA for non-communicable disease prevention, these findings provide additional evidence for policies promoting all types of PA as a lever for population health.
Gamma irradiation-enhanced performance of waste LLDPE thermally transformed into advanced sponge-like material for oil decontamination
Authors: Gayed H. M. , Ghobashy Mohamed Mohamady 
Published: November 2023

AbstractIn this study, the development of advanced materials for the removal of oil–water pollution was explored, with a focus on environmental protection. The primary novelty of this research involved the conversion of waste Linear low-density polyethylene (LLDPE) into a sponge-like material denoted as sLLDPE. The process of converting involved thermal treatment in castor oil, resulting in the creation of a porous structure within the material. This sLLDPE material exhibited remarkable oil adsorbent properties and demonstrated enhanced performance in the removal of various organic contaminants from both aqueous and oil-based systems. Furthermore, gamma irradiation-induced crosslinking reactions were implemented within a dose range of 0 up to 90 kGy to further improve its oil removal capabilities. Comparing samples subjected to a radiation dose of 50 kGy with those receiving no irradiation (0 kGy), it was observed that the maximum adsorption capacities for various oils, including crude oil, gasoline oil, motor oil, pump oil, and waste oil, increased significantly. Specifically, the adsorption capacities increased by approximately 216.2%, 235.3%, 24.1%, 111.5%, and 18.6% for the respective oils. It rapidly separated oil–water mixtures with ~ 100% efficiency in a column system and maintained performance over 20 reuse cycles. The converted sLLDPE sponge exhibited excellent organics removal across solvents. The findings of this study not only shed light on the impact of irradiation on polymeric materials but also contribute to our understanding of their potential applications in environmental cleanup processes.
Seismic response analysis of super-high-rise building structures with three-layer isolation systems
Authors: Zhang Yuan , Guo Zhongfa , Liu Dewen , Sun Weiwei 
Published: November 2023

AbstractThis paper proposes a triple-layer isolation device based on the single-story isolation and double-layer isolation. By establishing dynamic equilibrium equations and conducting earthquake response comparative analyses on the same super-tall building structure using three different forms of isolation: single-story isolation, double-layer isolation, and triple-layer isolation, it is found that the triple-layer isolation device, which adds an isolation layer on the basis of the double-layer isolation device, exhibits many different characteristics in terms of its damping mechanism, seismic response rules, etc., due to the differences in the position and quantity of the isolation layer. Rare earthquakes are equivalent to ASCE maximum considered earthquake or annual occurrence probability of 2%. The research shows that, under rare earthquake conditions, the isolation effect of the triple-layer isolation device in the super-tall frame-shear structure is better than that of the single-story isolation and double-layer isolation devices. Particularly, as the number of floors increases, the triple-layer isolation device can significantly reduce the seismic isolation support tension and compression stresses, inter-story displacement, single-story shear force, overturning moment, and floor acceleration of the high-rise building structure, and concentrate the lateral displacement of the structure on the three isolation layers, dissipating most of the seismic input energy.
Research on blasting mechanism and blasting effect of aqueous media in open pit coal mines
Authors: Ding Xiaohua , Liu Xin , Ao Zhongchen , Qin Hao , Li Xiaoshuang , Huang Kexin , Xiao Shuangshuang , Wu Mao , Zhang Donghua , Zhu Chun 
Published: November 2023

AbstractSurface coal mining procedures include piercing—blasting—mining and loading—transportation—discharging, blasting link exists due to the poor blasting effect leads to low loading efficiency, blasting dust caused by environmental pollution and other problems. In this paper, from the mechanical characteristics of the water medium, we analyze in detail the transferring effect, transducing effect and bubble pulsation phenomenon of the water medium in the blasting process. The results show that when the blasting medium is water medium, the maximum principal stress is 1.53 times that of air medium; the peak energy transfer can be up to 2.73 times that of air medium. With the help of TrueGrid/LS-DYNA finite element analysis software to simulate the dynamic process of blasting, the study of the maximum principal stresses around the hole, the top of the slope, the foot of the slope on the maximum principal stress changes, the results show that the maximum principal stresses around the hole, the top of the slope, the foot of the slope unit with the increase in the water content is gradually increasing trend. Finally, combined with the actual mine production conditions for blasting field test, water-mediated blasting dust reduction rate of 75%, the use of AHP—fuzzy comprehensive evaluation method of two groups of traditional dry hole blasting and three groups of water-mediated blasting comprehensive evaluation, the results show that the water-mediated blasting scores are higher than the traditional dry hole blasting, proving that the water-mediated blasting has a certain prospect of engineering applications.
Configurational paths to the green transformation of Chinese manufacturing enterprises: a TOE framework based on the fsQCA and NCA approaches
Authors: Miao Zeyan , Zhao Guohao 
Published: November 2023

AbstractIn the current complex and ever-changing environment, the high-quality development of manufacturing enterprises has a long way to go. The theoretical framework based on technology, the organization and the environment (TOE) from a configuration perspective provides a new integrated theoretical perspective for studying the green transformation path of Chinese manufacturing enterprises. The research purpose of this article is to use fuzzy set qualitative comparative analysis (fsQCA) and necessary condition analysis (NCA) to explore the configuration effects of various antecedents in the TOE theoretical framework of Chinese manufacturing enterprises, “technology (green technological innovation, digital transformation)-the organization (redundant resources, supply chain concentration, information transparency)-the environment (environmental governance pressure)”, to achieve a green transformation. The research findings show that no single factor is a necessary condition for achieving a high level of green transformation. There are six ways to achieve high green transformation levels for manufacturing enterprises, namely, technology-information collaborative green transformation, technology-supply chain collaborative-driven green transformation, digital-organization collaborative-driven green transformation, innovation-organization collaborative-driven green transformation, organization-environment collaborative-driven green transformation, and full-level multifactor collaborative-driven green transformation. The research conclusion will further expand research on the green transformation of enterprises and provide useful and practical references for green transformation paths of enterprises.
Optimization methods for the distortion of thin-walled box girders and investigation of distortion effects
Authors: Wang Zhaonan 
Published: November 2023

AbstractTo investigate the distortion process of thin-walled box girders, three commonly used methods based on energy variational calculus and static balance analysis are optimized. A generalized analytical formula for box-girder distortion research is derived, and a fourth-order distortion control differential equation is obtained. Typical numerical examples are used to verify and compare the three methods. The results show that the value of distortional warping normal stress calculated by the optimized methods is slightly different from the literature values and that the maximum error between methods does not exceed 5.39%. The calculation results of Method 2 and Method 3 are similar. The values of the geometric distortion characteristics calculated by the three methods are related to the cross-sectional form of the box girder and the distortion analysis process, and the calculated values are not unique. The absolute value of the peak normal stress of distortion on the top plate of a thin-walled box girder with a cantilever plate is smaller than that on the bottom plate. Under a concentrated distortion load, the distribution of the distortion deformation along the length of a simply supported box girder with only end diaphragm is not consistent, and there is reverse deformation near the beam end.
Interfacial electronic states and self-formed asymmetric Schottky contacts in polar α-In2Se3/Au contacts
Authors: Han Sha , Xia Cai-Juan , Li Min , Zhao Xu-Mei , Zhang Guo-Qing , Li Lian-Bi , Su Yao-Heng , Fang Qing-Long 
Published: November 2023

AbstractIn recent years, the two-dimensional (2D) semiconductor α-In2Se3 has great potential for applications in the fields of electronics and optoelectronics due to its spontaneous iron electrolysis properties. Through ab initio electronic structure calculations and quantum transport simulations, the interface properties and transport properties of α-In2Se3/Au contacts with different polarization directions are studied, and a two-dimensional α-In2Se3 asymmetric metal contact design is proposed. When α-In2Se3 is polarized upward, it forms an n-type Schottky contact with Au. While when α-In2Se3 is polarized downward, it forms a p-type Schottky contact with Au. More importantly, significant rectification effect is found in the asymmetric Au/α-In2Se3/Au field-effect transistor. The carrier transports under positive and negative bias voltages are found to be dominated by thermionic excitation and tunneling, respectively. These findings provide guidance for the further design of 2D α-In2Se3-based transistors.
Bipolar neutrosophic WINGS for green technology innovation
Authors: Tian Yuan , Zhang Kecheng 
Published: November 2023

AbstractGreen technology innovation is a crucial assurance of achieving sustainable economic and environmental development, so improving the capability of green technology innovation is an urgent problem. In order to provide a more objective and accurate tool for identifying the most important impact factor of green technology innovation, this study innovatively proposes a new method by combining the bipolar neutrosophic sets with Weighted Influence Nonlinear Gauge System (WINGS) method. Furthermore, this paper intends to provide recommendations in improving green technology innovation capability. We invite five experts to evaluate fifteen factors influencing green technology innovation using the bipolar neutrosophic linguistic variables. Then, the proposed bipolar neutrosophic set WINGS (Bipolar NS-WINGS) method is applied to measure the influence of each impact factor of green technology innovation. Finally, we divide all the factors into cause group and effect group. Moreover, the network relation map is constructed to visualize the interrelationships between all impact factors. The Bipolar NS-WINGS suggests that Science and Technology Innovation Environment (Ω7) is the most important factor of green technology innovation. The result also indicates that R&D Investment (Ω8) is the most influential factor in which it has impacted many other factors. It is obvious that the integrated method not only enriches the research in the field of decision theory, which has not combined the bipolar-NS and WINGS method for analyzing relationships of factors, but also contributes to the improvement of green technology innovation capabilities.
Aotus nancymaae model predicts human immune response to the placental malaria vaccine candidate VAR2CSA
Authors: Doritchamou Justin , Nielsen Morten A. , Chêne Arnaud , Viebig Nicola K. , Lambert Lynn E. , Sander Adam F. , Semblat Jean-Philippe , Hundt Sophia , Orr-Gonzalez Sachy , Janitzek Christoph Mikkel , Spiegel Alicia J. , Clemmensen Stine B. , Thomas Marvin L. , Nason Martha C. , Snow-Smith Maryonne , Barnafo Emma K. , Shiloach Joseph , Chen Beth B. , Nadakal Steven , Highsmith Kendrick , Ouahes Tarik , Conteh Solomon , Sharma Ankur , Torano Holly , Butler Brandi , Reiter Karine , Rausch Kelly M. , Scaria Puthupparampil V. , Anderson Charles , Narum David L. , Salanti Ali , Fried Michal , Theander Thor G. , Gamain Benoit , Duffy Patrick E. 
Published: November 2023

AbstractPlacental malaria vaccines (PMVs) are being developed to prevent severe sequelae of placental malaria (PM) in pregnant women and their offspring. The leading candidate vaccine antigen VAR2CSA mediates parasite binding to placental receptor chondroitin sulfate A (CSA). Despite promising results in small animal studies, recent human trials of the first two PMV candidates (PAMVAC and PRIMVAC) generated limited cross-reactivity and cross-inhibitory activity to heterologous parasites. Here we immunized Aotus nancymaae monkeys with three PMV candidates (PAMVAC, PRIMVAC and ID1-ID2a_M1010) adjuvanted with Alhydrogel, and exploited the model to investigate boosting of functional vaccine responses during PM episodes as well as with nanoparticle antigens. PMV candidates induced high levels of antigen-specific IgG with significant cross-reactivity across PMV antigens by enzyme-linked immunosorbent assay. Conversely, PMV antibodies recognized native VAR2CSA and blocked CSA adhesion of only homologous parasites and not of heterologous parasites. PM episodes did not significantly boost VAR2CSA antibody levels or serum functional activity; nanoparticle and monomer antigens alike boosted serum reactivity but not functional activities. Overall, PMV candidates induced functional antibodies with limited heterologous activity in Aotus monkeys, similar to responses reported in humans. The Aotus model appears suitable for preclinical downselection of PMV candidates and assessment of antibody boosting by PM episodes.
Material calculation and its unconscious: approaching computerization with Heidegger and Lacan
Authors: Heimann Marc , Hübener Anne-Friederike 
Published: November 2023

AbstractThe following paper focuses on discerning a specific epistemic effect that modern computers and especially the technology of artificial intelligence (AI) have. To discern this effect, it is necessary to reflect on the use of mathematics, that is its practice, and its ontological underpinnings. To do this, we combine Heideggerian and Lacanian concepts to approach the theoretical problem that AI and computers pose to the practice of calculation. The paper discusses that the computer as a material calculator has limiting factors that make it unable to utilize important uses of formalization. Central to this is the forced absence of virtual voids, which compels computers to act as if the symbolic would behold to the same structural axioms as the imaginary. Far from being a simple inability of computers, this proximate failure allows us instead to understand AI and modern computation in terms of their use and misuse as an epistemic tool.
Detecting depression on video logs using audiovisual features
Authors: Min Kyungeun , Yoon Jeewoo , Kang Migyeong , Lee Daeun , Park Eunil , Han Jinyoung 
Published: November 2023

AbstractDetecting depression on social media has received significant attention. Developing a depression detection model helps screen depressed individuals who may need proper treatment. While prior work mainly focused on developing depression detection models with social media posts, including text and image, little attention has been paid to how videos on social media can be used to detect depression. To this end, we propose a depression detection model that utilizes both audio and video features extracted from the vlogs (video logs) on YouTube. We first collected vlogs from YouTube and annotated them into depression and non-depression. We then analyze the statistical differences between depression and non-depression vlogs. Based on the lessons learned, we build a depression detection model that learns both audio and visual features, achieving high accuracy. We believe our model helps detect depressed individuals on social media at an early stage so that individuals who may need appropriate treatment can get help.
CIS-based system for acquiring and transmitting image data
Authors: Xie Boshi , Zhao Lihong 
Published: November 2023

Abstract
The design utilizes a network of CIS lines (DL520-09UHM-S) to design an image data acquisition and transmission system. Using the STM32F1 chip as the control core, the hardware circuit of STM32F1 with DL520-09UHM-S, A/D converter chip, FIFO cache chip and CAN transceiver chip is designed, and the parameters of each device are controlled to complete the acquisition and transmission of image data. The PC processes the data through software to derive the acquired image data.
The Scheme of Movable DC Ice Melting Device Based on the Engine-Generator Topology
Authors: Zhou Xueming , Yao Yao , Ma Xinchi , Feng Zhiqiang , Yu Xiang 
Published: November 2023

Abstract
In this article, an entire scheme of DC ice-melting devices based on the engine-generator topology is proposed to solve the problem of poor portability caused by the current devices. It is found that the engine-generator topology suffers from a power mismatch when starting with load, which may eventually lead to starting failure. A soft-start strategy is proposed to control the power required by the load by controlling the duty cycle of the switching tube to achieve real-time power matching. Compared with the most popular phase-controlled rectifier DC ice melting device, the entire scheme of the device is proposed, which not only achieves continuous voltage and current adjustment but also effectively reduces the ripple of the output and control complexity. The feasibility of the proposed soft-start strategy and the entire scheme of the device is verified by simulation results.