bluuebunny/crossref_metadata_2025_split huggingface dataset:
Precise Impact Time and Angle Guidance Strategy under Time-Varying Velocity
Authors: Wang Yiwei , Li Ruichen , Wu Zihao , Chen Kang , Yu Dengxiu 
Published: July 2023

Abstract

In this paper, a new guidance strategy is proposed for achieving precise control of time-varying velocity aircraft with impact time and angle constraints. Traditional guidance laws assume a constant velocity of the aircraft, but the velocity varies with time in practical scenarios, which affects the guidance accuracy under impact time and angle constraints. To overcome these difficulties, a guidance strategy consisting of trajectory generation and trajectory tracking is proposed. Firstly, the reference trajectory is constructed based on the Bezier spiral, which naturally satisfies the impact angle constraint. Then, the control problem of the impact time is transformed into an adjustment problem of the trajectory length. The expression of Bezier spiral that is only related to the curvature is derived, and a new lemma describing the relationship between trajectory length and curvature is found. Furthermore, the differential flatness property of the control system is explored to design a trajectory tracking method for Bezier spiral trajectory, which applies feedback linearization of the system through higher-order information. Finally, Numerical simulations confirm the superiority of the proposed method and validate the analytic findings.
Acacia Senegal-based Non-Newtonian Electrolyte for Memristive Applications
Authors: Lokhandwala Aziz , Thakkar Parth , Gosai Jeny , Oza Suvik , Solanki Ankur 
Published: July 2023

Abstract
The conduction of ionic species through the solid-state memristive devices were found to have no comparable mobility with the ions (Na+, K+, and Ca2+) in the human brain creating a major bottleneck for use of these devices for neuromorphic applications. In an attempt to resolve this issue, and compete with demands in soft electronic technologies, ionic electrolytes are promising candidates as active materials. Here, we put forward a new approach of utilizing the rheological properties of Acacia Senegal with Sodium Chloride (AS@NaCl) electrolyte to obtain the resistive switching property. The device exhibits resistive switching, with SET process consuming 0.16mJ, with channel diameter of 1.2cm, and ~ 5.46µJ with 0.2 mm channel diameter. The impedance spectroscopy measurements were performed to investigate the role of the rheological properties of the medium and medium-electrode interface in resistive switching. Furthermore, a theoretical model has been adopted for quantitative analysis. To evaluate the potential of the device for neuromorphic tasks and proving their resemblance with the synapse governing the neuronal dynamics, first accounts of all four of Spike Time Dependent Plasticity (STDP) (Symmetric (Hebbian/Anti-Hebbian), and Asymmetric (Hebbian/Anti-Hebbian)) behavior in addition to other preliminary synaptic characteristics have been presented. The findings presented reveal the potential of the AS@NaCl electrolyte involving low cost and easy processable technology for memristive applications.
Mouse cardiac tissue received greater protection from and had better tolerance to the maximum dose of FLASH versus conventional radiation
Authors: Choi Min-Young , Kim Hyun , Kang Sang Koo , Lee Sang Jin , Jang Kyoung Won , Lim Heuijin , Lee Manwoo , Jeong Dong Hyeok , Moon Young Min , Kim Jin Young , Yu Tosol , Choi Chul Won , Jeon Wan 
Published: July 2023

Abstract
Radiation therapy is used to treat patients with various types of cancer by killing tumor cells or inhibiting their growth. However, conventional radiation (CONV) not only shrinks the tumor, but also irradiates the surrounding normal tissue, causing normal tissue toxicity. Here, we investigated the potential benefits of high-dose FLASH irradiation therapy applied over a short period and compared the effects of FLASH irradiation and CONV irradiation on mouse cardiac tissue. Our results showed that compared to CONV irradiation, FLASH irradiation resulted in lower mortality and prevented radiation-induced cardiac fibrosis, according to in the survival curves of irradiated mice. FLASH irradiation was more effective than CONV irradiation at higher doses and showed a protective effect and greater cardiac tissue tolerance. These findings can be used to evaluate the efficacy, safety, and potential side effects of FLASH radiation therapy in animal models before application to human patients. Thus, our results on cardiac tissue changes in mice after FLASH irradiation in this study will be an important reference for predicting and measuring cardiotoxicity in preclinical and clinical applications of FLASH treatment in the future.
Impact of maternal factors and environmental stress on sex ratio in Southern Poland
Authors: Nieczuja-Dwojacka Joanna , Marchewka-Długońska Justyna , Budnik Alicja , Wojtowicz Patryk , Giemza Bogdan , Skrzypczyk Bożena , Zvarik Aneta 
Published: July 2023

Abstract
The secondary sex ratio (SRB) is a widely used descriptor that reflects the living conditions and health status during pregnancy.
The aim of study was to assess the impact of maternal factors, season of birth, and air pollution with the heating season on the sex ratio at birth in the Subcarpathian population from the Krosno district.
A retrospective study involving 11,587 births was occurred at the John Paul II Podkarpackie Province Hospital in Krosno between 2016 and 2020. Sex of the newborn, the season of their birth, as well as the maternal age, birth order, the interval between births, and the season of birth were analysed. Furthermore, the relationship between the SRB and the level of air pollution during the heating season was investigated. To determine the significance of differences in sex ratios, chi-square analysis and multifactorial regression were used, with a significance level set at p < 0.05.
At the chi-square level, all the studied factors indicated a statistically significant relationship with the SRB. However, the regression model used shows that maternal age and birth order were the most important factors in shaping the SRB in the study group.
A Cognitive-Motor Dissociation of NMDAR Blockade in Behaving Non-Human Primates
Authors: Pouget Pierre , Paré Martin , Daye Pierre 
Published: July 2023

Abstract
Ketamine is widely used to probe cognitive functions relying on the properties of NMDAR synaptic transmission. Numerous works have already proved that cognitive performance and adjustments in the decision or perceptual domains are affected after ketamine injection in the general circulation. Here, we take advantage of that in the brain stem; horizontal saccade deceleration is controlled by glycine NMDA-gated current. In contrast, GABA current controls vertical deceleration to demonstrate that despite general circulation level manipulation of NMDAR synaptic transmission, the skewness of the saccade appeared to be in the motor brainstem generator circuit differentially maintained. The deacceleration of the saccade elicited toward a horizontal target was substantially decreased, while the deacceleration of a vertical saccade remained largely unaffected. These results provide a functional marker for estimating NMDA-gated specificity acting in the pre-frontal cortex while maintaining its specificity among the GABA circuit of drugs in general circulation.
Genome-Wide Identification and Characterization of the SBT Gene Family in maize and Its Expression in the Various tissue
Authors: Wang Xiaodong , Zhang Yanting , Xiang Dianjun , Wang Meng , Zhang Weiwei , Li Zhigang , Liu Peng 
Published: July 2023

Abstract
Maize is one of the three major crops in China. And SBT (Bacillus subtilis protease like serine protease) is a serine proteolytic enzyme, which widely exists in various organisms and participates in biological growth and defense. Therefore, it is necessary to study the SBT gene of maize. In this study, we identified 59 maize SBT genes (ZmSBTs), which were divided into 6 subfamilies through phylogenetic trees and distributed unevenly on 10 chromosomes. Analysis of cis-acting elements showed that ZmSBTs contained elements for plant growth and defense. In addition, the expression pattern of transcriptome data of different maize tissues shows that different ZmSBTs are expressed differently in different tissues. We also predicted the interaction of ZmSBT1.7and ZmSBT2.5 specifically expressed in meiosis_tassels with other maize proteins through the protein interaction website, and the interaction of ZmSBT1.2specifically expressed in seeds with other maize proteins. This study provided valuable information about maize SBT gene and clarified the possible biological functions of ZmSBT1.7, ZmSBT2.5 and ZmSBT1.2.
Study of the Seismic Behavior of Diagonally Reinforced Concrete Coupling Beam with Compared to Composite Beam
Authors: Takale Ajaykumar Balasaheb , Taware A. A. 
Published: July 2023

Abstract
Most of the reinforced concrete RC Shear walls have openings have openings due to door, window and transport facilities, which are connected with coupling beam. It is essential to examine the seismic performance of structural elements to guarantee the dependability and safety of structures during earthquakes. In order to increase the overall stiffness and strength of the structural system, coupling beams are essential for transferring lateral forces across structural components. These abstract details an ANSYS-based investigation on the seismic behavior of coupling beams. Comprehensive modeling and analysis of complicated structural systems susceptible to seismic loading is made possible using ANSYS software, a potent finite element analysis tool. In this work, ANSYS is used to create a three-dimensional finite element model of a building with coupling beams. To effectively simulate the structural response to seismic excitation, the model includes realistic material properties, geometry, and boundary conditions. A number of dynamic evaluations are performed to evaluate the coupling beams' seismic response. To comprehend the coupling beams' performance under earthquake loading, evaluation is done of their reactions, including their deformation patterns, stresses. The beam with diagonally reinforcement having maximum deformation of 0.098 mm, where the deflection of conventional beam with steel plate having maximum deformation of 0.1 mm. The percentage difference of maximum deformation is 2%. The conventional beam with steel plate having maximum shear stress of 7.64 MPa, where the deflection of beam with diagonally reinforcement having maximum deformation of 8.5 MPa. As per results, the conventional beam with steel plate gets less shear stress as compare to diagonally reinforcement beam. The percentage difference of maximum shear stress is 10.11%.
Reliability and validity of the Chinese version of Intrahospital Transport Safety Scale in intensive care
Authors: Li Shuaishuai , Hou Shuting , Deng Xianjiao , Chen Shihao , Wang Huaqin , Tang Li , Xie Jianhui , Ye Man 
Published: July 2023

Abstract

Background
Intrahospital transport of critically ill patients is a common occurrence in intensive care units, where the challenging nature of high-intensity work and dynamic environments often poses patient safety risks. The Intrahospital Transport Safety Scale is a favorable self-report measurement tool utilized to evaluate the safety of Intrahospital transport, but it has not been used in China before.
Objectives
This study aimed to validate the reliability and validity of the scale among critical care nurses in China.
Methods
A cross-sectional design employing cluster random sampling was used, involving a total of 544 critical care nurses. The reliability and validity of the Chinese version of the Intrahospital Transport Safety Scale were examined.
Results
The Chinese version of the scale displayed robust psychometric properties, with Cronbach's α coefficient of 0.976, a split-half reliability of 0.906, and a test-retest reliability of 0.856. Exploratory factor analysis revealed a four-factor model that explained 75.970% of the variance. The factor loadings of the items ranged from 0.433 to 0.951. Confirmatory factor analysis indicated a strong model fit, with a chi-square to degrees of freedom ratio (CMIN/DF) of 2.765, comparative fit index (CFI) of 0.943, incremental fit index (IFI) of 0.943, and goodness-of-fit index (GFI) of 0.845, supporting the efficacy of the four-factor model in assessing intrahospital transport safety for critically ill patients.
Conclusion
The Chinese version of the Intrahospital Transport Safety Scale demonstrated favorable reliability and validity among critical care nurses in China, making it a suitable tool for measuring the level of Intrahospital transport safety for critically ill patients.
Thromboprophylaxis in Multiple Myeloma Patients on Immunomodulatory Agents: Single-Center Practice Patterns and Outcomes
Authors: Newman Talie , Spencer Hannah , Kelly Katherine , Kelly Kevin , Rivera Elsy 
Published: July 2023

Abstract
PURPOSE
Practice guidelines suggest two models (IMPEDE and SAVED) be utilized to stratify risk of venous thromboembolism (VTE) and determine the optimal thromboprophylaxis in patients with multiple myeloma (MM). Historical practice at the VA North Texas (VANTHCS) has been to preference aspirin for MM patients receiving induction therapy with immunomodulatory drugs (IMiDs). This study reviewed the rate of VTE in this population and examined the role of risk stratification models in determining need for anticoagulation versus aspirin thromboprophylaxis.
METHODS
Retrospective chart review of 329 patients diagnosed with MM between 2010 and 2022 was conducted. The primary outcome was incidence of VTE within six months of initiating IMiD-based induction therapy, stratified by IMPEDE and SAVED scores. Select secondary outcomes included predictive probability of IMPEDE and SAVED scores, thromboprophylaxis regimen utilized, and incidence of major bleeding.
RESULTS
A total of 248 patient inductions were included. Based on IMPEDE and SAVED scores, 100% and 76% of patients were classified as high risk, respectively, with 86% of patients receiving aspirin thromboprophylaxis. There was a 7.7% incidence of VTE within six months. Neither the IMPEDE (p = 0.55) or SAVED (p = 0.295) scores demonstrated predictive probability of VTE in this population. There was no statistical difference in the primary outcome between aspirin and anticoagulation (p = 0.3). Major bleeding occurred in 7.3% of the patients.
CONCLUSION
Overall incidence of VTE was low despite these populations being classified as high risk. Aspirin prophylaxis may be adequate VTE thromboprophylaxis in patients receiving IMiD-based induction regimens.
Assessing the potential risk of glacier avalanches to hydropower infrastructure in the Himalayan region
Authors: Laha Sourav , Majeed Ulfat , Banerjee Argha , Rashid Irfan , Steiner Jakob , Vijay Saurabh 
Published: July 2023

Abstract
A number of flash floods and debris flows triggered by glacier avalanches from relatively small but steep hanging glaciers over the past few years have exposed the vulnerability of infrastructures and livelihoods in the high Himalaya. As of now there are no methods to identify potentially dangerous hanging glaciers in a given catchment, and to asses the associated risk to any given infrastructure. In this paper, we propose a simple physics-based probabilistic method which attempts to provide a first-order solution to this problem. It is based on considering of a large number of hypothetical glacier avalanches and an associated flood event within a numerically-efficient Monte-Carlo framework. We assign probability weights to the chain of events involved in a flood reaching a given dam location, and assess the relative risk. We test the method in three Himalayan catchments, including two where glacier avalanche events have been reported in the recent past. The proposed method is based on a series of simplifying assumptions regarding the initiation and propagation of the events, necessitated by the complexity of the processes involved and a lack of data in these remote environments. Our method performs reasonably in two of the studied Himalayan catchments. Certain limitations in the performance of the method are apparent in one of the studied catchments. A better understanding of the underlying processes may help in coming up with more accurate paramterisations of the weights assigned to the chain of events. However, the presented method may be considered a starting point to quantify increasingly unstable ice on high and steep slopes to hydropower infrastructures in Himalayan catchments.
Fraud Detection by Using Deep Learning in Mining the Information Technology for Artificial and Business Intelligence
Authors: Shahzadi Shabnam , Shahzad Usaman , Emam Walid , Tashkandy Yusra , Iftikhar Soofia 
Published: July 2023

Abstract
Deep learning with the Artificial Intelligence allows systems to cluster data and deliver results with incredible accuracy. Data mining and deep learning usually come together in business intelligence protocols with little to no human intervention to optimize data-driven decision-making. Business intelligence is a part of information technology that manages today’s business world. Whereas, globally, financial institutions use deep learning with business intelligence to control money laundering. Hence we combined deep learning famous algorithms with data mining for business intelligence to boost efficiency. Our study mainly focuses Graph Neural Network and Autoencoders Models two screwdrivers to process massive amounts of data for improving the visibility and transparency within all aspects of businesses. Through the spread of risk across transactions, we further model the fraud behaviors. In our research work we use Graph Neural Network and Autoencoder for fraud and anomaly detection in credit cards. The results of our study is useful in aid financial organizations, especially banks to achieving an adequate understanding of deep learning with business intelligence. In our study we take banks as a case study which assists banking system to determine the gap between current operational methods and emerging procedures that utilize deep learning and business intelligence to detect fraud. In order to detect credit card fraud, we define the problem as a semi-supervised node classification job and describe credit card behaviors as a temporal transaction graph. By using brand new attribute and driven temporal graph neural network we can detect credit card fraud. In our paper we use Python and ProM software to simulate for the analysis purpose to boost the efficiency. At the end we conclude that deep learning with business intelligence offers feasible explanations for the various business domains and by using artificial intelligence with deep learning in business intelligence we can achieve our targets more efficiently.
A Study on the Spatial Linkage of Green Total Factor Productivity in Cities Along the Shanghai-Nanjing-Hangzhou High-speed Railway of China Based on SNA
Authors: Chen Haisheng , Shen Manhong 
Published: July 2023

Abstract
The Shanghai-Nanjing-Hangzhou high-speed railway is an important facility for the high-quality integrated development of the Yangtze River Delta. Based on the data of cities along the route in 2006, 2012 and 2020, Social Network Analysis (SNA) was used to analyse the spatial divergence and Based on the data of cities along the route in 2006, 2012 and 2020, Social Network Analysis (SNA) was used to analyse the spatial divergence and evolution structure of green total factor productivity (GTFP) of cities along the Shanghai-Nanjing-Hangzhou high-speed railway. that from 2006 to 2020, the GTFP linkages of cities along the Shanghai-Nanjing-Hangzhou high-speed railway have been increasing, and a network The study confirms that from 2006 to 2020, the GTFP linkages of cities along the Shanghai-Nanjing-Hangzhou high-speed railway have been increasing, and a network structure of green economic efficiency has gradually formed in nine cities; among them, Shanghai and Suzhou have the strongest radiating capacity, The green total factor productivity of cities along the The green total factor productivity of cities along the Shanghai-Nanjing-Hangzhou High-speed Railway has experienced an evolutionary path from monocentric to polycentric, basically forming a positive The cohesive subgroups of cities along the route have a certain degree of self-stability, and the cohesive The cohesive subgroups of cities along the route have a certain degree of self-stability, and the cohesive subgroups, mainly in the southern Jiangsu cities of Suzhou, Wuxi and Zhenjiang, are closely linked to each other in terms of green total factor productivity. Accordingly, suggestions are made to accelerate the development of green innovation in cities along the Shanghai-Nanjing-Hangzhou Accordingly, suggestions are made to accelerate the development of green innovation in cities along the Shanghai-Nanjing-Hangzhou high-speed railway.
Tithonia diversifolia Extract as An Eco-friendly, High-temperature Corrosion Inhibitor for 304 Stainless Steel in Acidic Solution: Experimental and Quantum Chemical Studies
Authors: Madurani Kartika A. , Firdausi Soraya , Harmami Harmami , Ulfin Ita , Nazareth Eviyanti , Shinci Erika , Sari Shaimah Rinda , Tominaga Masato , Kurniawan Fredy 
Published: July 2023

Abstract
In the present work, Tithonia diversifolia (Hemsl) A. Gray leaf extract (TDLE) was utilized as an eco-friendly and high-temperature corrosion inhibitor for 304 stainless steel (SS) in 1 M HCl. The performance of TDLE was studied electrochemically using potentiodynamic polarization and electrochemical impedance spectroscopy techniques. The surface of the metal was characterized using scanning electron microscopy (SEM). The quantum chemical method was also studied to understand the inhibition process. Leaves were extracted with demineralized water at 90°C. The adsorption behavior of TDLE best matches Langmuir's adsorption isotherm. The isotherm assumed that the adsorbed species occupies only one surface site to form a monolayer of inhibitor on the metal surface with no interactions from other adsorbed species. The corrosion inhibition efficiency increases with solution temperature, reaching 98.48% at 65°C in the presence of 3.5 g/L TDLE. SEM images show significant improvement of the 304 SS surface with TDLE. A quantum chemical study indicates that methyl 3.5-dicaffeoyl quinate is the most active inhibitor in TDLE.
Year-to-year variations have a more impact on leaf litter breakdown than the presence or absence of riparian vegetation in highland grasslands streams
Authors: Cararo Emanuel Rampanelli , Rezende Renan de Souza 
Published: July 2023

Abstract
Context
Highland grasslands are poorly studied landscapes, understanding how the ecological process of leaf litter breakdown works in these ecosystems is crucial for their management and conservation.
Objectives
The study aims to examine the importance of spatial and temporal heterogeneity on leaf litter breakdown and macroinvertebrate composition in highland grassland streams.
Methods
We conducted a three-year experiment to examine leaf litter breakdown in two different systems: one with riparian vegetation and one without riparian vegetation. The experiment took place during the same season each year, and we assessed both biotic and abiotic parameters in each year.
Results
Leaf breakdown in streams showed no significant differences in remaining mass between riparian systems and their interaction with years. However, significant differences were observed between the years. Macroinvertebrate richness, density, and shredder density did not vary significantly among years and riparian systems, but there was a significant interaction between these factors for total density and scraper density.
Conclusions
This study emphasizes the importance of temporal dynamics in leaf litter decomposition and invertebrate community composition in highland grassland streams, with year-to-year variations having a greater influence than the presence of riparian vegetation, highlighting the need to understand these mechanisms for effective management and conservation.