A Deep Variational Approach to Multiterminal Joint Source-Channel Coding Based on Information Bottleneck Principle by Shayan Hassanpour, Matthias Hummert, Dirk Wubben, Armin Dekorsy

“…To that end, tractable objective functions are developed, together with the pertinent learning architectures, generalizing the concepts of Variational Auto-Encoders and (Distributed) Deep Variational Information Bottleneck for (remote) source coding to the context of distributed joint source-channel coding. …”
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Open-Source vs. Commercial Photogrammetry: Comparing Accuracy and Efficiency of OpenDroneMap and Agisoft Metashape by A. Kostrzewa, A. Płatek-Żak, P. Banat, Ł. Wilk

“…OpenDroneMap (ODM), open-source software, offers similar functionalities to popular commercial options, enabling the generation of point clouds, DEMs, and mesh models using advanced algorithms like Multi-View Stereo (MVS) and Poisson surface reconstruction. …”
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Bias‐Independent True Random Number Generator Circuit using Memristor Noise Signals as Entropy Source by Jinwoo Park, Hyunjoong Kim, Hyungjin Kim

“…Finally, the performance of the designed TRNG circuit is evaluated using autocorrelation functions and National Institute of Standards and Technology tests, confirming its capability to produce random number bitstreams.…”
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Varying Activity and the Burst Properties of FRB 20240114A Probed with GMRT Down to 300 MHz by Ajay Kumar, Yogesh Maan, Yash Bhusare

“…All of the bursts we detect are faint (<10 Jy ms) and thus probe the lower end of the energy distribution. …”
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Machine Learning and Feature Selection-Enabled Optimized Technique for Heart Disease Classification and Prediction by P. Nancy, Prasad Raghunath Mutkule, Kalpana Sunil Thakre, Ajay S. Ladkat, S.B.G. Tilak Babu, Sunil L. Bangare, Mohd Naved

“…It comes as no surprise that cardiovascular disease is a leading source of morbidity and death in contemporary society. …”
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Myeloma mesenchymal stem cells’ bioenergetics afford a novel selective therapeutic target by Oded Komemi, Elina Orbuch, Osnat Jarchowsky-Dolberg, Yaron Shraga Brin, Shelly Tartakover-Matalon, Metsada Pasmanik-Chor, Michael Lishner, Liat Drucker

“…Fission/fusion dynamics regulate mitochondria function. Proteomics demonstrates excessive mitochondrial processes in BM-MSCs from MM patients compared to normal donors (ND). …”
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Near extinction of the HBV quasispecies driven by the hard selective sweep in chronic hepatitis B by Daiqiang Lu, Andong He, Guichan Liao, Renyu Zhou, Zichun Cheng, Ka Cheuk Yip, Xiufang Wang, Wei Cao, Jiaojiao Peng, Ruiman Li, Jie Peng, Feng Gao

“…The nearly identical viral population suggests that all these viruses are from a single source. Predominant mutations were identified in known T cell epitopes but not in epitopes for neutralizing antibodies, indicating that the hard selective sweep is most likely driven by T cell selection pressure. …”
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Potential Source Regions and Transportation Pathways of Reactive Gases at a Regional Background Site in Northwestern China by Quanwei Zhao, Qing He, Lili Jin, Jianlin Wang

“…Wind rose, cluster analysis, potential source contribution function (PSCF), and concentration-weighted trajectory (CWT) methods were adopted for identifying the transport pathways and potential source regions of these atmosphere components at Akedala. …”
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Influence of Lineage-Negative Stem Cell Therapy on Articulatory Functions in ALS Patients by Wioletta Pawlukowska, Bartłomiej Baumert, Monika Gołąb-Janowska, Anna Sobuś, Agnieszka Wełnicka, Agnieszka Meller, Karolina Machowska-Sempruch, Alicja Zawiślak, Karolina Łuczkowska, Sławomir Milczarek, Bogumiła Osękowska, Edyta Paczkowska, Iwona Rotter, Przemysław Nowacki, Bogusław Machaliński

“…Bone marrow-derived stem and progenitor cells (SPCs) may be a valuable source of trophic factors. In this study, we assessed whether adjuvant cellular therapy could affect the levels of selected neurotrophins and proinflammatory factors in the cerebrospinal fluid (CSF) and subsequently prevent the deterioration of articulation. …”
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Identification of swine- specific microbial genetic markers using competitive DNA hybridization by FAN Lihua, MO Hongfei, ZHANG Xiaofeng, SHUAI Jiangbing, CHEN Qing

“…The putative protein transcript of each sequence was analyzed based on the similarity of gene sequences by using BLASTX with the GenBank non-redundant database，and their biochemical functions were therefrom predicted.Sequence analyses of five hundred randomly selected clones from the libraries obtained by three rounds of metagenomic GFE revealed that this subset contained a total of 384 non-redundant sequences and most sequences (87%) ranged from 400 bp to 600 bp in size. …”
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Highly effective ionic liquids for biodiesel production from waste vegetable oils by Fathy A. Yassin, Fathy Y. El Kady, Hoda S. Ahmed, Latifa K. Mohamed, Seham A. Shaban, Ahmed K. Elfadaly

“…As conventional energy sources deplete, the need for developing alternative energy resources which are environment friendly becomes more imperative. …”
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Investigation of the chemical composition of cell cultures of DIOSCOREA CAUCASICA in connection with the production of BAS sources with cardioprotective potential by A. I. Loseva, V. I. Minina, A. V. Pozdnyakova, E. V. Ostapova

“…Dioscorea Caucasica is a source of various biologically active substances (BAS), e.g. saponins and polyphenols, which are known for their anti-atherosclerotic action. …”
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Algorithms for Automatic Detection and Location of Infrasound Events in the PSDL System by Asming Vladimir Ernestovich, Fedorov Andrey Viktorovich

“…An algorithm for detecting infrasound signals by calculating the cross-correlation function between records of individual sensors in a array is described. …”
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Code vulnerability detection method based on graph neural network by Hao CHEN, Ping YI

“…The schemes of using neural networks for vulnerability detection are mostly based on traditional natural language processing ideas, processing the code as array samples and ignoring the structural features in the code, which may omit possible vulnerabilities.A code vulnerability detection method based on graph neural network was proposed, which realized function-level code vulnerability detection through the control flow graph feature of the intermediate language.Firstly, the source code was compiled into an intermediate representation, and then the control flow graph containing structural information was extracted.At the same time, the word vector embedding algorithm was used to initialize the vector of basic block to extract the code semantic information.Then both of above were spliced to generate the graph structure sample data.The multilayer graph neural network model was trained and tested on graph structure data features.The open source vulnerability sample data set was used to generate test data to evaluate the method proposed.The results show that the method effectively improves the vulnerability detection ability.…”
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Detection, Parameter Estimation and Direction Finding of Periodic Pulse Signals by V. B. Manelis, I. S. Faustov, V. A. Kozmin

“…Simple-to-implement algorithms for detecting periodic pulse signals, evaluating their parameters, and direction finding of the source have been developed. …”
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Features of Bearing on Underwater Object Using Phase Information of a Differential Stereo Sensor by V. A. Shirokov, A. I. Bazhenova, V. N. Milich

“…Taking into account the factor of smoothness and continuity of the object's trajectory makes it possible to qualitatively correct the selection of the maximum of the cross-correlation function of the stereo sensor signals. …”
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RpiBeh offers a versatile open source solution for rodent behavior tracking and closed loop interventions by Yiqi Sun, Jie Zhang, Qianyun Wang, Jianguang Ni

“…Existing commercial systems are costly and inflexible for customization, while current open-source tools are often lack of real-time functionality and suffer from steep learning curve. …”
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Forecasting springtime rainfall in southeastern Australia using empirical orthogonal functions and neural networks by S. Marčelja

“…In addition to standard ocean climate indicators such as El Niño or the Indian Ocean Dipole, other typical patterns of variation are captured in terms of the temperatures of selected ocean areas. When characteristic patterns of correlation are discovered, they are included in the predictor selection in the form of expansion in terms of the empirical orthogonal functions (EOFs). …”
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Advances in preparation and application of coal-based functional nanomaterials by Shenyong LI, Shenjun QIN, Changquan MEN, Jiajia HOU, Dawei LYU, Xue ZHENG, Wei PANG, Longlong HAO, Daoyuan ZHAO, Shaozhuo ZHANG

“…However, traditional coal utilization as a primary carbon emission source fundamentally conflicts with the “dual-carbon” strategic goals. …”
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A Self-Adaptive Particle Swarm Optimization Based Multiple Source Localization Algorithm in Binary Sensor Networks by Long Cheng, Yan Wang, Shuai Li

“…Then the maximum likelihood estimator is employed to establish the objective function which is used to estimate the location of sources. …”
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