bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of electronic health (eHealth) on quality of life in women with breast cancer: A systematic review and meta‐analysis of randomized controlled trials
Authors: Wen Tianmeng , Chen Chongxiang , Ren Wenhui , Hu Shangying , Zhao Xuelian , Zhao Fanghui , Zhao Qinyu 
Published: May 2023

AbstractBackgroundWomen with breast cancer and improved survival face some specific quality of life (QOL) issues. Electronic health (eHealth) is a useful tool aiming to enhance health services. However, evidence remains controversial about the effect of eHealth on QOL in women with breast cancer. Another unstudied factor is the effect on specific QOL functional domains. Therefore, we undertook a meta‐analysis about whether eHealth could improve the overall and specific functional domains of QOL in women with breast cancer.MethodsPubMed, Cochrane Library, EMBASE, and Web of Science were searched to identify appropriate randomized clinical trials from database inception to March 23, 2022. The standard mean difference (SMD) served as the effect size and the DerSimonian–Laird random effects model was constructed for meta‐analysis. Subgroup analyses were conducted according to different participant, intervention, and assessment scale characteristics.ResultsWe initially identified 1954 articles excluding duplicates and ultimately included 13 of them involving 1448 patients. The meta‐analysis revealed that the eHealth group had significantly higher QOL (SMD 0.27, 95% confidence interval [95% CI] 0.13–0.40, p < 0.0001) than the usual care group. Additionally, although not statistically significant, eHealth tended to improve the physical (SMD 2.91, 95% CI −1.18 to 6.99, p = 0.16), cognitive (0.20 [−0.04, 0.43], p = 0.10), social (0.24 [−0.00, 0.49], p = 0.05), role (0.11 [0.10, 0.32], p = 0.32), and emotional (0.18 [0.08, 0.44], p = 0.18) domains of QOL. Overall, consistent benefits were observed in both the subgroup and pooled estimates.ConclusionseHealth is superior to usual care in women with breast cancer for improved QOL. Implications for clinical practice should be discussed based on subgroup analysis results. Further confirmation is needed for the effect of different eHealth patterns on specific domains of QOL, which would help improve specific health issues of the target population.
MPM‐driven dynamic desiccation cracking and curling in unsaturated soils
Authors: Tu Zaili , Peng Chen , Li Chen , Wang Chenhui , Liu Long , Wang Changbo , Qin Hong 
Published: May 2023

AbstractDesiccation cracking of soil‐like materials is a common phenomenon in natural dry environment, however, it remains a challenge to model and simulate complicated multi‐physical processes inside the porous structure. With the goal of tracking such physical evolution accurately, we propose an MPM based method to simulate volumetric shrinkage and crack during moisture diffusion. At the physical level, we introduce Richards equations to evolve the dynamic moisture field to model evaporation and diffusion in unsaturated soils, with which a elastoplastic model is established to simulate strength changes and volumetric shrinkage via a novel saturation‐based hardening strategy during plastic treatment. At the algorithmic level, we develop an MPM‐fashion numerical solver for the proposed physical model and achieve stable yet efficient simulation towards delicate deformation and fracture. At the geometric level, we propose a correlating stretching criteria and a saturation‐aware extrapolation scheme to extend existing surface reconstruction for MPM, producing visual compelling soil appearance. Finally, we manifest realistic simulation results based on the proposed method with several challenging scenarios, which demonstrates usability and efficiency of our method.
Influence of polyethyleneimine layer and zinc nitrate on morphology and structure of PES‐based membranes with highly selective properties
Authors: Alimadadi Arash , Parvizian Fahime , Bandehali Samaneh 
Published: May 2023

AbstractIn this paper, nanofiltration (NF) polymer membranes based on polyestersulphone (PES) were prepared by the phase inversion method. Polyethyleneimine (PEI) and zinc nitrate (Zn(NO3)2) as a surface modifier and glutealdehyde (GA) as cross‐linker was used. Fourier transform infrared spectroscopy analysis (FTIR) was used to confirm the chemical composition on the membrane surface. Membranes were also characterized using field emission scanning electron microscopy (FESEM) and 3D surface images. Water contact angle, average pore size and porosity measurements, water flux, salt rejection, and membrane anti‐fouling ability were discussed. Modified membranes showed a smoother surface than the original membrane. The amount of pure water flux decreased with increasing the concentration of modifiers at the surface, but the yield of Na2SO4 salt increased, 53% in virgin membrane and 83% in M3 membrane. Modified membranes had better anti‐fouling and hydrophilicity properties than primary membranes. The lowest contact angle value was 26.2° for M4. Also, the best anti‐clogging comparable properties were for the M3 membrane with FRR = 63.37%, Rr = 10.69%, Rir = 36.6%, and Rt = 47.3%. By increasing the concentration of modifiers, the removal of CuNO3− and CuSO4 improved that the M1 membrane (97.59%) had the highest Cu(NO3)2 separation and the M4 membrane (87.5%) had the most increased CuSO4 separation.
The Recent Development of Two‐dimensional Conjugated Coordination Polymers
Authors: Lv Huixia , Li Pengfei 
Published: May 2023

AbstractTwo‐dimensional conjugated coordination polymers (2D c‐CPs), an emerging family of 2D materials, have received great research interest due to their versatile framework topologies and unique physical properties, which found a wide variety of applications. In this review, we summarized the state‐of‐the‐art works of 2D c‐CPs in terms of synthesis strategies, topological structures, and their applications. Essential factors that affect the chemical structures and performance, such as the type of ligand, metal nodes, and their stoichiometric ratios have been highlighted. Besides, the perspectives and challenges are also provided considering the future development of 2D c‐CPs.
PD‐1/PD‐L1 based immunochemotherapy versus chemotherapy alone for advanced esophageal squamous cell carcinoma: A meta‐analysis focus on PD‐L1 expression level
Authors: Jin Zixian , Wang Jiping , Sun Jiajing , Zhu Chengchu , Zhang Jian , Zhang Bo 
Published: May 2023

AbstractBackgroundImmunochemotherapy has become a new treatment for advanced esophageal squamous cell carcinoma (ESCC).AimsWe aimed to study the clinical efficacy and toxicity of immunochemotherapy based on PD‐1/PD‐L1 compared with chemotherapy alone in the treatment of advanced ESCC, focusing on analyzing the influence of PD‐L1 expression level.Methods and ResultsFive randomized controlled trials comparing PD‐1/PD‐L1 based immunochemotherapy with chemotherapy alone for advanced ESCC were included. We extracted efficacy data (objective response rate [ORR], disease control rate [DCR], overall survival [OS] rate, progression‐free survival [PFS] rate) and safety data (treatment‐related adverse events, treatment‐related mortality) and performed meta‐analyses. Compared with chemotherapy alone, the ORR and DCR of immunochemotherapy increased by 2.05 times and 1.54 times, respectively. Overall, patients receiving immunochemotherapy had a significant long‐term survival advantage (OS: hazard ratio [HR] = 0.68, 95% confidence intervals [CI] 0.61–0.75; PFS: HR = 0.62, 95% CI 0.55, 0.70, respectively). Even with PD‐L1 tumor proportion score <1%, immunochemotherapy also showed a significant survival advantage (OS: HR = 0.65, 95% CI 0.46–0.93; PFS: HR = 0.56, 95% CI 0.46–0.69, respectively). However, for PD‐L1 combined positive score (CPS) < 1, the survival advantage of immunochemotherapy was not significant (OS: HR = 0.89, 95% CI 0.42–1.90; PFS: HR = 0.71, 95% CI 0.47–1.08, respectively). The toxicity of immunochemotherapy was higher than that of chemotherapy alone, but there was no statistical difference in treatment‐related mortality (odds ratio = 1.11, 95% CI 0.67–1.83).ConclusionIn this study, treatment‐related mortality was similar between immunochemotherapy and chemotherapy. PD‐1/PD‐L1 based immunochemotherapy significantly could improve survival outcomes in patients with advanced ESCC. For patients with CPS <1, the survival advantage of immunochemotherapy was not significant compared with chemotherapy.
Hybrid intelligent intrusion detection system for multiple Wi‐Fi attacks in wireless networks using stacked restricted Boltzmann machine and deep belief networks
Authors: Mathappan Nivaashini , Elavarasan Suganya , Sehar Sountharrajan 
Published: May 2023

SummaryThe recent cutting edge mobile and internet advancements have increased Internet of Things based gadgets more pervasive and cohesive into our day to day lives. There emerges a need to beat the security challenges, prevalently came about because of the uncovered idea of a remote medium, for example a Wi‐Fi network setup. The linked gadgets are ubiquitous, creating high‐dimensional information on an expansive scale. It tends to be seen those illegitimate actions like illegal information access, information stealing, information alteration different other interruption exercises are quickly developing during a decade ago. Wireless network data transfers will be anticipated to surge strongly in the coming years. Feature learning, still, can evade the probable complications, possibly formed by means of large wireless network dimensions. Therefore, the proposed system focuses on developing a Hybrid Intelligent Intrusion Detection System (IDS) for detecting multiple assaults such as Impersonation, Injection, flooding along with other unknown malicious Wi‐Fi attacks using Deep Learning and Machine Learning algorithms. The proposed system is investigated on well referenced Aegean Wi‐Fi Intrusion Dataset (AWID) and the experimental results prove that the utility of deep learning algorithms in feature representation and classification has achieved higher detection accuracy along with lower false alarm rate. To get an optimum feature set and perform dimensionality reduction on Wi‐Fi network data, the proposed framework uses Deep Belief Network (DBN) with stacked layers of Restricted Boltzmann Machine (RBM). In order to identify and categories various Wi‐Fi threats, Deep Neural Networks, and algorithms like SVM, MLKNN, and RAkEL are employed. The anticipated DBN model was given an optimization strategy to enhance classification performance. The optimization strategy involved selecting the best possible feature subset using a feature selection technique, optimizing the DBN model using the best possible hyperparameter values, less reconstruction error values, and utilizing the regularization method to account for weight decay. The experimental findings demonstrate that the use of deep learning algorithms in feature representation and classification has produced improved detection accuracy coupled with a decreased false alarm rate when applied to the proposed hybrid scheme based Intelligent IDS using the well‐referenced AWID dataset.
Mammalian Chromosome Analysis and Sorting by Flow Cytometry
Authors: Mukhopadhyay Risani , Varshitha DV , Telford William G. , Sanders Claire K. , Chakraborty Uttara 
Published: May 2023

AbstractThe analysis of chromosomes by flow cytometry is termed flow cytogenetics, and it involves the analysis and sorting of single mitotic chromosomes in suspension. The study of flow karyograms provides insight into chromosome number and structure to provide information on chromosomal DNA content and can enable the detection of deletions, translocations, or any forms of aneuploidy. Beyond its clinical applications, flow cytogenetics greatly contributed to the Human Genome Project through the ability to sort pure populations of chromosomes for gene mapping, cloning, and the construction of DNA libraries. Maximizing the potential of these important applications of flow cytogenetics relies on precise instrument setup and optimal sample processing, both of which impact the accuracy and quality of the data that are generated. This article is a compilation of the existing protocols that describe the stepwise methodology of accumulating, isolating, and staining metaphase chromosomes to prepare single‐chromosome suspensions for flow cytometric analysis and sorting. Although the chromosome preparation protocols have remained largely unchanged, cytometer technology has advanced dramatically since these protocols were originally developed. Advances in cytometry technologies offer new and exciting approaches for understanding and monitoring chromosomal aberrations, but the hallmark of these protocols remains their simplicity in methodologies and reagent requirements and the accuracy of data resolvable to every chromosome of the cell. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC.This article was corrected on 18 July 2023. See the end of the full text for details.Basic Protocol 1: Mitotic block and cell harvestingBasic Protocol 2: Propidium iodide isolationSupport Protocol 1: Swelling testBasic Protocol 3: MgSO4 low‐molecular‐weight isolationBasic Protocol 4: Polyamine high‐molecular‐weight isolationSupport Protocol 2: Molecular‐weight determination of chromosomal DNABasic Protocol 5: Chromosome analysis and sorting
Ultra‐efficient fully programmable membership function generator based on independent double‐gate FinFET technology
Authors: Jooq Mohammad Khaleqi Qaleh , Behbahani Fereshteh , Moaiyeri Mohammad Hossein 
Published: May 2023

SummaryThis paper demonstrates an ultra‐efficient, fully programmable membership function generator (MFG) utilizing independent double‐gate (IDG) FinFET technology. The proposed MFG can produce s‐shaped, z‐shaped, triangular, and trapezoidal membership functions. By employing only six transistors, the designed MFG provides full controllability over the height, position, width, and slope of the generated waveforms. Without using any additional transistor and changing the dimensions, the proposed MFG can calibrate the slope of the output based on the back‐gate bias voltage of the IDG‐FinFETs. According to our extensive simulations, the proposed MFG shows promising improvements in transistor count (70%), power‐delay‐product (PDP) (80%), and maximum absolute error (61%) as compared with its state‐of‐the‐art counterparts. To benchmark the functionality of the proposed MFG in practical applications, our generated membership function is exploited as the neuron's activation function in a multilayer perceptron (MLP) neural network. The simulation results indicate that the training process of the simulated MLP with the proposed MFG closely tracks the results obtained from the ideal MLP with the sigmoid activation function. A figure of merit (FoM) is defined considering the hardware efficiency and accuracy of the neural networks to evaluate the entire performance of the proposed MFG. The FoM simulations demonstrate that the proposed MFG presents an excellent trade‐off between hardware performance and accuracy in neural network applications. Our results emphasize that the proposed MFG is a potential candidate for designing high‐performance on‐chip neural networks.
Secondary electron emission impact on the tungsten dust particle in a plasma with super‐extensive electrons
Authors: Ou Jing , Long Jiamin 
Published: May 2023

AbstractEffect of the secondary electron emission (SEE) on the tungsten dust particle in a plasma with super‐extensive electrons is studied in the energy range of . With the increasing q‐parameter, the dust particle potential normalized by the electron temperature decreases first and then increases when we consider the SEE including the backscattered electron, inelastic reflection electron and true‐secondary electron process, while it increases monotonously if only the true‐secondary electron process is taken into account. By compared to the case without SEE, the presence of SEE causes the obvious increases of the normalized dust particle potential for the small q‐parameter and high electron temperature, and the resultant dust particle temperature to reach the melting temperature or saturated state faster in the dust particle heating process.
Timing and delay discounting in attention‐deficit/hyperactivity disorder: A translational approach
Authors: Fox Adam E. , Nicholson Alycia M. , Singha Depika , Thieret Bryana A. S. , Ortiz Marcelo , Visser Emma J. 
Published: May 2023

AbstractAttention‐deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that often presents with abnormal time perception and increased impulsive choice behavior. The spontaneously hypertensive rat (SHR) is the most widely used preclinical model of the ADHD‐Combined and ADHD‐Hyperactive/Impulsive subtypes of the disorder. However, when testing the spontaneously hypertensive rat from Charles River (SHR/NCrl) on timing and impulsive choice tasks, the appropriate control strain is not clear, and it is possible that one of the possible control strains, the Wistar Kyoto from Charles River (WKY/NCrl), is an appropriate model for ADHD‐Predominately Inattentive. Our goals were to test the SHR/NCrl, WKY/NCrl, and Wistar (WI; the progenitor strain for the SHR/NCrl and WKY/NCrl) strains on time perception and impulsive choice tasks to assess the validity of SHR/NCrl and WKY/NCrl as models of ADHD, and the validity of the WI strain as a control. We also sought to assess impulsive choice behavior in humans diagnosed with the three subtypes of ADHD and compare them with our findings from the preclinical models. We found SHR/NCrl rats timed faster and were more impulsive than WKY/NCrl and WI rats, and human participants diagnosed with ADHD were more impulsive compared to controls, but there were no differences between the three ADHD subtypes.
Differences in growth within and across the reproductive forms of northern crayfish (Faxonius virilis)
Authors: Cabrera Doreen , Griffen Blaine D. 
Published: May 2023

AbstractComplex life histories are frequently associated with biological trade‐offs, as the use of one trait can decrease the performance of a second trait due to the need to balance competing demands to maximize fitness. Here, we examine growth patterns in invasive adult male northern crayfish (Faxonius virilis) that are indicative of a potential trade‐off between energy allocation for body size versus chelae size growth. Northern crayfish undergo cyclic dimorphism, a process characterized by seasonal morphological changes associated with reproductive status. We measured carapace length and chelae length before and after molting and compared these growth increments between the four morphological transitions of the northern crayfish. Consistent with our predictions, reproductive crayfish molting to the non‐reproductive form and non‐reproductive crayfish molting within the non‐reproductive form experienced a larger carapace length growth increment. Reproductive crayfish molting within the reproductive form and non‐reproductive crayfish molting to the reproductive form, on the other hand, experienced a larger growth increment in chelae length. The results of this study support that cyclic dimorphism evolved as a strategy for optimizing energy allocation for body and chelae size growth during discrete periods of reproduction in crayfish with complex life histories.
Exploring the application of digital twin in the field of micro turbine engine core components
Authors: Zhang Xinming , Zhang Qingyu , Li Guowei , Hu Jing 
Published: May 2023

AbstractThe micro turbine engine (MTE) plays a vital role in the aerospace sector. However, traditional research and design models no longer suffice to accommodate the highly complex operating conditions of the MTE. Therefore, this paper briefly analyzes the concept and development process of digital twin technology and integrates it into the research and design of the MTE. This integration takes into account the recent leapfrog developments in information technology and digital intelligence technology. Utilizing digital twin technology to model the core components of the MTE allows for effective structural optimization, online monitoring, and timely problem detection in support of extending the overall lifespan of the engine. Multiple algorithms are used throughout the development, design, and usage phases of each component to merge into a cohesive whole, providing robust support for the MTE's overall development, production, and manufacturing. Digital twin technology facilitates accurate performance prediction, reliability evaluation, and advanced design optimization for the MTE. This, in turn, reduces the design cycle and research design cost more effectively. Lastly, we propose the future application and development trend of digital twin technology in the core components of the MTE.
Multi objective queue theory based optimal planning of rapid charging stations and distributed generators in coupled transportation and distribution network
Authors: Vijay Vutla , Venkaiah Chintham , Kumar D. M. Vinod 
Published: May 2023

AbstractThe environment is adversely affected by greenhouse gas (GHG) emissions from conventional combustion engines. In this regard, electric vehicles (EVs) are a viable transportation option that benefit the environment in reducing GHG emissions. Although the installation of rapid charging stations (RCSs) helps to promote EVs, installing these at improper locations in the distribution network worsens the voltage profile, increases power loss, and energy loss while travelling from EV's current location to RCS. Furthermore, RCS installation cost and waiting time at RCS need to be considered. Therefore, a two‐stage optimal planning is proposed in this article to address the issues stated above. In the first stage, simultaneous optimal planning of RCS and distributed generators is done to minimize active power loss, voltage deviation, EV user cost and to maximize voltage stability index. In the second stage, optimal number of connectors are decided to minimize the installation cost and waiting time in queue at RCS. Here, queuing model is considered to determine the waiting time. A test network of coupled IEEE 33 bus distribution system and transport network is proposed to validate the proposed methodology. Multi objective Rao algorithm (MORA) is used to solve the formulated optimization problems, and results are compared with non dominated sorting genetic algorithm (NSGA‐II) algorithm.