Risk classification for long‐term mortality among patients with acute heart failure: China PEACE 4YMortality by Wei Wang, Lihua Zhang, Guangda He, Xiqian Huo, Lubi Lei, Jingkuo Li, Boxuan Pu, Yue Peng, Xin Yuan

“…We then built a point‐based risk score algorithm and the patients were stratified to low‐risk (0–14), intermediate‐risk (15–19) and high‐risk (≥20) groups. …”
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Diagnosis and treatment of sepsis-induced cardiomyopathy using hemosorption therapy: a case report by S. V. Dil, V. V. Kirilin, N. M. Ivanov, V. V. Ryabov

“…Emergency coronary angiography revealed no coronary obstruction. Two hours after admission, asystole was recorded with effective cardiopulmonary resuscitation, mechanical ventilation, infusion of inotropic and vasopressor drugs. …”
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Optimizing UAV performance with IoT and fuzzy linear fractional transportation models by Samaher Al-Janabi, Nawras G. Seyhood

“…Unlike conventional path-planning methods, the proposed model leverages bio-inspired artificial intelligence (AI) algorithms and mixed-integer programming to solve multi-objective optimization problems under uncertainty. …”
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Research on Mine-Personnel Helmet Detection Based on Multi-Strategy-Improved YOLOv11 by Lei Zhang, Zhipeng Sun, Hongjing Tao, Meng Wang, Weixun Yi

“…This article presents an enhanced algorithm based on YOLOv11n, referred to as GCB-YOLOv11. …”
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Wave Attenuation by Australian Temperate Mangroves by Ruth Reef, Sabrina Sayers

“…The structure of the vegetation obstructing the flow path was represented along each transect in a three-dimensional point cloud derived from overlapping uncrewed aerial vehicle (UAV) images and structure-from-motion (SfM) algorithms. …”
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Validation of Automated Respiratory Event Scoring in Type 3 Home Sleep Apnea Testing by Shiroshita N, Obata R, Kawana F, Kato M, Sato A, Ishiwata S, Yatsu S, Matsumoto H, Shitara J, Murata A, Shimizu M, Kato T, Suda S, Tomita Y, Hiki M, Naito R, Kasai T

“…Nanako Shiroshita,1,* Ryoko Obata,1,2,* Fusae Kawana,1 Mitsue Kato,1 Akihiro Sato,3 Sayaki Ishiwata,3 Shoichiro Yatsu,3 Hiroki Matsumoto,3,4 Jun Shitara,3 Azusa Murata,3 Megumi Shimizu,3 Takao Kato,3,4 Shoko Suda,1,3,4 Yasuhiro Tomita,3– 5 Masaru Hiki,3 Ryo Naito,3,4 Takatoshi Kasai1,3,4 1Cardiovascular Respiratory Sleep Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; 2Philips Japan, Tokyo, Japan; 3Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; 4Sleep and Sleep-Disordered Breathing Center, Juntendo University Hospital, Tokyo, Japan; 5Sleep Center, Toranomon Hospital, Tokyo, Japan*These authors contributed equally to this workCorrespondence: Takatoshi Kasai, Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan, Tel +81-3-3813-3111, Fax +81-3-5689-0627, Email kasai-t@mx6.nisiq.netPurpose: Home sleep apnea tests (HSATs) using polygraphy devices are becoming increasingly important for evaluating obstructive sleep apnea. Alice NightOne, a widely used polygraphy device, includes automatic scoring software; however, more reliable scoring results can be provided by incorporating advanced algorithmic systems like Somnolyzer. …”
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An integration of ensemble deep learning with hybrid optimization approaches for effective underwater object detection and classification model by G. Abirami, S. Nagadevi, J. D. Dorathi Jayaseeli, T. Prabhakara Rao, R S M Lakshmi Patibandla, Rajanikanth Aluvalu, K Srihari

“…While current object recognition methods have attained an outstanding performance on terrestrial, they are less suitable in underwater conditions because of dual restrictions: the underwater objects are generally smaller, closely spread, and disposed to obstruction features, and underwater embedding tools have temporary storing and computation abilities. …”
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Energy Efficiency Maximization in RISs-Assisted UAVs-Based Edge Computing Network Using Deep Reinforcement Learning by Chuanwen Luo, Jian Zhang, Jianxiong Guo, Yi Hong, Zhibo Chen, Shuyang Gu

“…Specially, the UTRP-DDPG algorithm improves the UAV energy efficiency by at least 2% compared to DQN algorithm.…”
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Human face localization and detection in highly occluded unconstrained environments by Abdulaziz Alashbi, Abdul Hakim H.M. Mohamed, Ayman A. El-Saleh, Ibraheem Shayea, Mohd Shahrizal Sunar, Zieb Rabie Alqahtani, Faisal Saeed, Bilal Saoud

“…Unconstrained face identification has been significantly improved by the advancements in Deep Learning algorithms (DL). However, the presence of severe occlusion is an ongoing obstacle particularly when it obstructs a substantial section of the facial area, resulting in the absence of crucial facial characteristics. …”
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Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial Intelligence by Muhammad Sajid Farooq, Muhammad Hassan Ghulam Muhammad, Oualid Ali, Zahid Zeeshan, Muhammad Saleem, Munir Ahmad, Sagheer Abbas, Muhammad Adnan Khan, Taher M. Ghazal

“…The effective management of anaemia is piled with obstructions, which may include the variability of diagnostic criteria, the resource limitations of healthcare, and the multifactorial nature of the disease including nutritional deficiencies, chronic disease, and genetic factors. …”
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SUDDEN DEATH IN HYPERTROPHIC CARDIOMYOPATHY: SEARCH FOR NEW RISK FACTORS by N. S. Krylova, E. A. Kovalevskaya, N. G. Poteshkina, A. E. Demkina, F. M. Khashieva

“…Regardless the developed algorithms for risk stratification in sudden cardiac death (SCD) among patients with hypertrophy cardiomyopathy (HCM) there are SCD cases with no common risk factors. …”
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Identification of progression-related genes and construction of prognostic model for chronic kidney disease by machine learning by Bingkun Zhou, Hu Zhou, Xiaodong Huang, Shijie Liu

“…However, there is currently a lack of CKD prognostic prediction models based on transcriptomics and machine learning.MethodsUtilizing weighted correlation network analysis (WGCNA) and random forest algorithms in GSE137570, three core gene sets of different sizes were constructed, which were externally validated in GSE66494 and GSE180394, and evaluated for their predictive performance in GSE45980 by receiver operating characteristic (ROC) curves. …”
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Project quality, regulation quality by Elena Mussinelli

“…Instead, deductive design approaches seem to prevail today, due to the growing availability of algorithmic procedures that do not merely support the design process, but develop it in an almost automated manner through conditioning and prevailing indicators and parameters. …”
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Meibomitis. Clinical cases by A. E. Sukhomlinov, V. I. Baranov, A. A. Kruchinina

“…One of the causes of M is an obstructed outflow of fat secretion, complicated by an accompanying infection. …”
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Real-Time Object Detection for the Running Train Based on the Improved YOLO V4 Neural Network by Yang Liu, Mengfei Gao, Humin Zong, Xinping Wang, Jinshuang Li

“…Lightweight convolutional neural network MobileNet and clustering ideas are combined to improve the object detection algorithm, and the MYOLO-lite model object detection algorithm is designed. …”
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EXPERIENCE OF TREATMENT FOR ACUTE ABDOMINAL DISEASES AND ABDOMINAL TRAUMA IN N.V. SKLIFOSOVSKY RESEARCH INSTITUTE FOR EMERGENCY MEDICINE by M. Sh. Khubutiya, P. A. Yartsev, A. A. Guliayev, V. D. Levitsky, I. I. Kirsanov, B. T. Tsuleiskiry

“…Diagnostic and treatment algorithm for acute abdominal diseases and abdominal trauma has already been developed by now.…”
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Multislice computed tomography urography in the diagnosis of urinary tract diseases by Nikolić Olivera, Stojanović Sanja, Till Viktor, Basta-Nikolić Marijana, Petrović Kosta, Vučaj-Ćirilović Viktorija

“…The obtained results support MSCTU to be the modality of choice in the diagnostic algorithm of patients with macroscopic hematuria and in the evaluation of microscopic hematuria and unexplained obstruction of the urinary tract. …”
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SCINTIGRAPHY IN URGENT CONDITIONS AND COMPLICATIONS OF ACUTE DISEASES AND TRAUMAS by N. Ye. Kudryashova, A. S. Yermolov, E. V. Migunova, O. G. Sinyakova, E. A. Gurok

“…It was shown that each radionuclide technique decides the concrete clinical tests and has a strictly definite place in the diagnostic algorithm. Urgent radionuclide techniques give the important information for the choice of the treatment’s policy or operation’s volume in such acute diseases as tromboembolism, arterial occlusions, small bowel obstruction, acute cholecystitis and cholelithiasis, acute myocardial infarct, rhabdomyolysis, differentiation of acute urological and acute abdominal surgical diseases and so on. …”
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CALCULATION OF MATRIX CORRESPONDENCE WITH THE USE OF PARALLEL COMPUTING TECHNOLOGIES by E. E. Ilyasov, A. M. Amirov

“…Increasing the number of vehicles has led to urban congestion, many hours of traffic jams, obstruction of pedestrian traffic, increase the number of accidents, etc. …”
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Rapid deployment method of integrated localization and communication network for high dynamic emergency scenarios by XU Lianming, ZHU Wendi, WANG Li, LIU Zhenyu, ZHANG Yuhao

“…To address the decline in network communication rates and localization accuracy caused by personnel mobility and obstacle-induced obstructions, a dynamic emergency network deployment based on unmanned aerial vehicles (UAV) was investigated. …”
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