Immunophenotype and metabolism are linked in peripheral blood neutrophils from patients with kidney cancer by A. A. Savchenko, A. G. Borisov, I. V. Kudryavtsev, I. I. Gvozdev, A. V. Moshev

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Model of superior semicircular canal dehiscence: asymmetrical vestibular dysfunction induces reversible balance impairment by Sean S. Hong, P. Ashley Wackym, P. Ashley Wackym, Damian J. Murphy, Eran Peci, Matthew Y. Kiel, Aaron Tucker, Nicolas L. Carayannopoulos, Shrivaishnavi C. Chandrasekar, Nikhil Suresh, Umut A. Utku, Justin D. Yao, Justin D. Yao, Todd M. Mowery, Todd M. Mowery

“…A feature that is unique in this model is that spontaneous resurfacing of the dehiscence occurs via osteoneogenesis without a subsequent intervention. …”
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Effect of involuntary and voluntary exercise in an enrichment environment on astrogliosis reaction of hippocampus white matter in type 3 diabetic rat models by Masoud Jamshidi, Mohammadreza Kordi, Fatemeh Shabkhiz

“…AD is a progressive brain disorder that causes gradual loss of memory, impaired learning ability, and connection problems with other people. Researchers have found that people with diabetes are 1.5 times more likely to develop AD. …”
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Development of Machine Learning Prediction Models to Predict ICU Admission and the Length of Stay in ICU for COVID‑19 Patients Using a Clinical Dataset Including Chest Computed Tom... by Seyed Salman Zakariaee, Negar Naderi, Hadi Kazemi-Arpanahi

“…The most important and related predictors selected by the Boruta feature selection method were used to develop ML prediction models. …”
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Co-Designing, Developing, and Testing a Mental Health Platform for Young People Using a Participatory Design Methodology in Colombia: Mixed Methods Study by Laura Ospina-Pinillos, Débora L Shambo-Rodríguez, Mónica Natalí Sánchez-Nítola, Alexandra Morales, Laura C Gallego-Sanchez, María Isabel Riaño-Fonseca, Andrea Carolina Bello-Tocancipá, Alvaro Navarro-Mancilla, Jaime A Pavlich-Mariscal, Alexandra Pomares-Quimbaya, Carlos Gómez-Restrepo, Ian B Hickie, Jo-An Occhipinti

“… BackgroundGlobally, mental health (MH) problems increasingly affect young people, contributing significantly to disability and disease. …”
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Development and Systematic Evaluation of a Progressive Web Application for Women With Cardiac Pain: Usability Study by Monica Parry, Tony Huang, Hance Clarke, Ann Kristin Bjørnnes, Paula Harvey, Laura Parente, Colleen Norris, Louise Pilote, Jennifer Price, Jennifer N Stinson, Arland O’Hara, Madusha Fernando, Judy Watt-Watson, Nicole Nickerson, Vincenza Spiteri DeBonis, Donna Hart, Christine Faubert

“…In total, 2 investigators recorded user comments and documented problems. At the end of the testing session, the participants completed the SUS and 4 semistructured interview questions. …”
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Vivência e repercussões da violência conjugal: o discurso feminino [The experience and impact of domestic violence: women’s discourse] [Experiencia y repercusiones de la violencia... by Nadirlene Pereira Gomes, Normélia Maria Freire Diniz, Solange Maria do Anjos Gesteira, Gilvânia Patrícia do Nascimento Paixão, Telmara Menezes Couto

“…The interviewees had experienced physical and psychological violence as an everyday feature of their conjugal relationships. The experience of psychological violence causes problems of physical health (headache, hypertension) and mental health (depression, PTSD). …”
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Deep reinforcement learning applications and prospects in industrial scenarios by JING TAN, Ligang YANG, Xiaorui LI, Zhaolin YUAN, Yunduan CUI, Chao YAO, Zongjie WANG, Xiaojuan BAN

“…Deep reinforcement learning (DRL), which integrates the high-dimensional feature extraction of deep learning with the adaptive decision-making capabilities of reinforcement learning, has emerged as a transformative technology in intelligent industrial control. …”
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A New Three Dimensional Chaotic Dynamical System and Digital Image Encryption Method by SUN Guang-ming, HUANG Jin-jie, ZHANG Yu

“…Aiming at the problem of information security of digital image, this paper proposes a new three dimensional autonomous chaotic system, indepth research and Simulation on its dynamic characteristics through several basic aspects, confirmed that the system has the feature of chaos. …”
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PHENOTYPIC PROFILE AND FUNCTIONAL ACTIVITY OF MONOCYTES IN THE PATIENTS WITH ACUTE PANCREATITIS by A. A. Savchenko, A. G. Borisov, D. E. Zdzitovetskiy, I. V. Kudryavtsev, A. Yu. Medvedev, A. V. Moshev, I. I. Gvozdev

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Hybrid Channel Attention Regression U-Net (ARU-Net): An Enhanced Architecture for Brain Tumour Segmentation in Magnetic Resonance Imaging by Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Zain Anwar Ali, Muhammad Ovais Akhter, Ahmed Alsanad, Areej Abdullah Alhogail, Abdu H. Gumaei

“…On the other hand, the channel-wise attention part, the Squeeze-and-Excitation (SE) blocks, recalibrates channel-wise feature responses for higher emphasis on salient features. …”
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Practical Perfect Absorption in Monolayer Graphene by Prism Coupling by Sangjun Lee, Sangin Kim

“…The proposed structure can adopt a thin layer of any absorbing material for perfect absorption owing to the adaptive loss rate feature.…”
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Towards edge-collaborative,lightweight and secure region proposal network by Jinbo XIONG, Renwan BI, Qianxin CHEN, Ximeng LIU

“…Aiming at the problem of image privacy leakage and computing efficiency in edge environment,a lightweight and secure region proposal network (SecRPN) was proposed.A series of secure computing protocols were designed based on the additive secret sharing scheme.Two non-collusive edge servers cooperate to perform calculation modules such as secure feature processing,secure anchor transformation,secure bounding-box correction,and secure non-maximum suppression.Theoretical analysis guarantees the correctness and security of SecRPN.The actual performance evaluation shows that SecRPN is outstanding in the computational cost and communication overhead compared with the existing works.…”
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Research on networking troubleshooting method based on software defined network by Jia-wei LI, Zhi-ju YANG, Xi-jun LIN, UHai-peng Q

“…Based on the reaserch status of networking troubleshooting in software defined network,a new net-working troubleshooting method was proposed.A TCP packet marked in head field was sent and detailed forward information in every hop would be written in its data filed once the test packet was matched.Taking advantages of the programmable feature of the controller and OpenFlow extensible match,special flow table was designed for matching test-used packet.The analysis module extracted and split the forward information,and thus printed the suspicious network problem which can be used to track and located the problematic network node.The experiment results indicate that the proposed method is fairy efficient.…”
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Nostalgia and Archival Footage in Contemporary Hungarian Documentary (Gábor Zsigmond Papp: "The Life of an Agent") by Terez Vincze

“…At the end of the article, I use Gábor Zsigmond Papp’s documentary fi lm The Life of an Agent as an example of the nostalgic use of archival material in the representation of a still-unresolved Hungarian historical problem: socialist secret agents.…”
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Assembly Error Measurement Method of Gear Shafting based on Stereo Vision by Menghao Chen, Zhuo Wang, Peng Zhang, Xu Zhang, Xiaoyu Ding

“…In this method， the circular mark points arranged on the feature to be measured are used as the medium to obtain the spatial pose of the corresponding features through 3D reconstruction and mathematical fitting， and then the assembly error is calculated. …”
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Manifold learning based on kernel density estimation by A.P. Kuleshov, A.V. Bernstein, Yu.A. Yanovich

“…Firstly, the problem of tangent bundle manifold learning has been solved, which resulted in the transformation of high-dimensional data into their low-dimensional features and estimation of the Riemann tensor on the data manifold. …”
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Evaluating the impact of hyperparameters on the performance of 1D CNN model for nutritional profiling of underutilized crops using NIRS data by Simardeep Kaur, Naseeb Singh, Amit Kumar, Philanim W S, Veerendra Kumar Verma, Amit Kumar Patil, Rakesh Bhardwaj, Amritbir Riar

“…Moderate kernel sizes struck a balance between feature preservation and generalization, while larger kernels decreased accuracy. …”
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Channel state information acquisition algorithm based on deep learning for IoT by Yong LIAO, Haimei YAO, Yuanxiao HUA

“…To solve the problem of high feedback overhead when the user sends channel state information (CSI) to the base station in massive multiple input multiple output (MIMO) based on Internet of things system,a CSI feedback network based on deep learning was proposed to feedback CSI.Firstly,the proposed network used convolutional neural network (CNN) to extract channel feature vectors and maxpooling to compress the data.Then the compressed CSI was decompressed by using full connection and CNN to restore the original channel.The simulation results show that compared with the existing CSI feedback methods,the CSI recovered by the proposed CSI feedback network is closer to the original channel,and the reconstruction quality is improved significantly.…”
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Symmetric Encryption Algorithms in a Polynomial Residue Number System by I. Yakymenko, M. Karpinski, R. Shevchuk, M. Kasianchuk

“…Our studies show that the cryptanalysis of the proposed algorithm requires combinatorial complexity, which leads to an NP-complete problem.…”
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