Routing algorithm for MPLS traffic engineering in satellite network by XIAO Fu1, SUN Li-juan1, YE Xiao-guo1, WANG Ru-chuan1

“…With regard to long transmission delay and dynamic topology characters in satellite network,a novel routing algorithm was proposed in multi-protocol label switching satellite network.The algorithm uses the prior knowledge of source-destination pairs,and link propagation delay is also considered.Based on time-varying topology snapshot of satellite network,initial link weight is defined as function of transmission delay and residual bandwidth.Both current request and future requests are in account when calculate critical degree.Thus traffic engineering is realized by link weight dynamic adjustment and critical links extension loaded,which guarantee resource utilized better.Simulation results demonstrate the algorithm performs better in terms of request reject ratio,total available flow,average hop and transmission delay of least interference paths.…”
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Identification of heterogeneity and common characteristics in colorectal carcinoma located in distinct sites by Yuqi Luo, Yiwen Huang, Yanbo Luo, Yating Yin, Peter Wang

“…We isolated 344 tumor and 54 normal cases spanning seven locations: sigmoid, ascending, caecum, rectum, transverse, descending, and recto-sigmoid. Cell biological functions were assessed utilizing CCK8, EdU assays, Transwell assays, and wound healing assays. …”
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Case Study of an Integrated Design and Technical Concept for a Scalable Hyperloop System by Domenik Radeck, Florian Janke, Federico Gatta, João Nicolau, Gabriele Semino, Tim Hofmann, Nils König, Oliver Kleikemper, Felix He-Mao Hsu, Sebastian Rink, Felix Achenbach, Agnes Jocher

“…This study integrates various functions into a coherent and technically feasible solution, with key design decisions that optimize performance and cost-efficiency. …”
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HD-6mAPred: a hybrid deep learning approach for accurate prediction of N6-methyladenine sites in plant species by Huimin Li, Wei Gao, Yi Tang, Xiaotian Guo

“…Furthermore, HD-6mAPred not only improves the accuracy of 6mA site prediction, but also shows excellent generalization capability across species. The source code utilized in this study is publicly accessible at https://doi.org/10.5281/zenodo.15355131.…”
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PhotoNeuro: A compact photodetector for synchronization of visual stimulus presentation during behavioural experiments in neuroscience by Xavier Cano-Ferrer, Marcelo J. Moglie, George Konstantinou, Antonin Blot, Gaia Bianchini, Albane Imbert, Petr Znamenskiy, M. Florencia Iacaruso

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A deep learning approach for white blood cells image generation and classification using SRGAN and VGG19 by Jannatul Ferdousi, Soyabul Islam Lincoln, Md. Khorshed Alom, Md. Foysal

“…The classification of White Blood Cells (WBCs) is crucial for diagnosing diseases, monitoring treatment effectiveness, and understanding how the immune system functions. In this paper, we propose a deep learning approach to classify WBCs using Super Resolution Generative Adversarial Network (SRGAN) and Visual Geometry Group 19 (VGG19). …”
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Atmospheric Turbulence-Controlled Cryptosystems by Ivan B. Djordjevic

“…The proposed encryption scheme employs the traditional scheme to utilize the atmospheric turbulence as the common source of randomness only in the initialization stage to determine the common parameters to be used in the proposed encryption scheme. …”
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Causal relationship between immune cells and acute myeloid leukemia: a two-sample Mendelian randomization study by Fanhua Yu, Hao Jiang, Yena Gu

“…Pooled phenotypic data from 3,757 individuals in a Sardinian cohort, encompassing 731 immune cell phenotypes, were utilized. Aggregate data on AML were sourced from the FinnGen project of the Finnish Biobank. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…These datasets serve two functions: improving illness prediction and examining large data reservoirs to identify previously unknown disease patterns. …”
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Modeling of the ORNL PCA Benchmark Using SCALE6.0 Hybrid Deterministic-Stochastic Methodology by Mario Matijević, Dubravko Pevec, Krešimir Trontl

“…The shielding analysis was performed using multigroup shielding library v7_200n47g derived from general purpose ENDF/B-VII.0 library. As a source of response functions for reaction rate calculations with MAVRIC we used international reactor dosimetry libraries (IRDF-2002 and IRDF-90.v2) and appropriate cross-sections from transport library v7_200n47g. …”
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Design and Implementation of an Integrated Underwater Wireless Optical Communication and Ranging System by WANG Jiale, ZHENG Kaiwen, LIAN Jie

“…【Conclusion】These findings indicate that the proposed OICAR system can realize efficient underwater communication and precise ranging functions in real time.…”
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Wastewater metagenomics in Africa: Opportunities and challenges. by Stephen Kanyerezi, Fatma Zahra Guerfali, Abbas Abel Anzaku, Oluwasegun Adesina Babaleye, Tracey Calvert-Joshua, Julien Alban Nguinkal, Oluwaseun Paul Amoo, Chiraz Atri, Waqasuddin Khan, Iqra Saleh, M Imran Nisar, Arthur Shem Kasambula, Koketso Morapedi, Gerald Mboowa

“…The advent of metagenomics has dramatically expanded our understanding of microbial communities, particularly through the study of wastewater, which serves as a rich source of microbial data. In Africa, wastewater metagenomics presents unparalleled opportunities for public health monitoring, antimicrobial resistance (AMR) tracking, and the discovery of new microbial species and functions. …”
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Identifying Public Transit Commuters Based on Both the Smartcard Data and Survey Data: A Case Study in Xiamen, China by Shichao Sun, Dongyuan Yang

“…Compared with existing methods which were plagued by the validation of the accuracy of the identification results, the adopted approach was a machine learning algorithm with functions of accuracy checking. The classifier was trained and tested by survey data obtained from 532 valid questionnaires. …”
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Enhanced high-sensitivity multi-layer neutron detector based on LiF:ZnS(Ag) scintillator by Ilan Cohen Zada, Alon Osovizky, Itzhak Orion

“…Abstract This study proposes a novel, highly sensitive neutron detector design utilizing a unique multi-layered configuration. Each layer consists of a LiF: ZnS(Ag) scintillator coupled with a transparent neutron moderator that also functions as a light guide for the Silicon Photomultiplier (SiPM) light sensor. …”
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Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea by Na Hyeon Yu, Daeun Shin, Ik Hee Ryu, Tae Keun Yoo, Kyungmin Koh

“…Routine health check-up data—including demographic information, medical history, and laboratory test results—are commonly utilized in clinical settings for disease risk assessment. …”
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Stable antivortices in multiferroic ε-Fe2O3 with the coalescence of misaligned grains by Wuhong Xue, Tao Wang, Huali Yang, Huanhuan Zhang, Guohong Dai, Sheng Zhang, Ruilong Yang, Zhiyong Quan, Run-Wei Li, Jin Tang, Cheng Song, Xiaohong Xu

“…Furthermore, the unpredictability of the polarity of the core was utilized as a source of entropy for designing physically unclonable functions. …”
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Design of high frequency LLC resonant circuit based on double loop control by Liu Aohui, Wang Shaoning, Xu Tinghao

“…This paper investigated the use of a high frequency LLC resonant circuit with double loop control in an electric propulsion system's secondary power source. A detailed presentation and discussion of the LLC resonant converter topology design process were given. …”
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Proteomic profiling of the human amniotic stem cell-highly abundant secreted proteins by Dan He, Yuqiang Cheng, Hongkai Lv, Anqi Geng, Jie Zheng, Lin Dang, Pengfei Li

“…In this study, the expression profiles of secreted proteins from AMSCs and AECs were comprehensively analyzed utilizing mass spectrometry-based proteomics. The 71 highly abundant proteins and their potential biological functions were further investigated. …”
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Comprehensive molecular analyses of an autoimmune-related gene predictive model and immune infiltrations using machine learning methods in intracranial aneurysma by Minxue Zhang, Lin Zhou, Yuying Zhao, Yanling Wang, Zhuobo Zhang, Zhan Liu

“…In certain sections of the written content of this manuscript, the authors have utilized text generated by an AI technology. The specific name, version, model, and source of the generative AI technology used are as follows: Generative AI Technology Name: ChatGPT, Version: 4.0, Model: GPT-4, Source: OpenAI.ResultsA total of 39 differentially expressed ARGs (DEARGs) were identified across the GSE13353, GSE26969, and GSE75436 datasets. …”
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Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri by Graham West, Matthew I. Swindall, Ben Keener, Timothy Player, Alex C. Williams, James H. Brusuelas, John F. Wallin

“…As such, we apply stacked generalization consisting of nearly identical ResNets with different loss functions: one utilizing sparse cross-entropy (CXE) and the other Kullback-Liebler Divergence (KLD). …”
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