Associations of greenhouse gases, air pollutants and dynamics of scrub typhus incidence in China: a nationwide time-series study by Haoyue Cao, Jianqiang Han, Weiming Hou, Juxiang Yuan

“…These findings may have important implications for guiding effective public health interventions in the future. …”
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Recording artist career comparison through audio content analysis by Nick Collins

“…In the present study, three successful alternative rock groups, and three ‘control’ artists, all from either the United States or the UK, are compared with respect to their musical careers through their main recorded releases (spanning the years 1983–2021 for the main three and 1957–2000 for the controls). …”
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Classification of diabetic retinopathy stages based on neural networks by M. M. Lukashevich, Y. I. Golub

“…Diabetic retinopathy is one of the main side effects of diabetes, which causes severe effects, including blindness. …”
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A Collecting Collision Tree Protocol for RFID Tag Identification with Capture Effect by Yang Qing, Li Jiancheng, Wang Hongyi

“…Multitag identification is one of the main advantages of the radio frequency identification (RFID) system. …”
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Results of Maritime Spatial Planning in the EU by Marina L. Kolesnikova

“…An important result for the EU was the organisational factor, within which the management contour of the MSP processes for individual territorial administrative units (country, marine region/subregion, European Union) is being built. The proven algorithms provide the EU with the opportunity to become one of the main global actors that regulate the promotion of MSP technologies in various areas of the World’s ocean.…”
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E-COMMERCE AND E-CONTRACTS: CHALLENGES, RISKS AND OPPORTUNITES IN THE CROSS-BORDER MARKETS by Artur GOLBAN

“…The main results of the scientific paper consist of the highlighting the necessity of additional algorithms, questions before signing the electronic contracts in order to reduce the risks and to be more protected.…”
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Smart and accurate: A new tool to identify stressed soybean seeds based on multispectral images and machine learning models by Ana Carolina Picinini Petronilio, Clíssia Barboza Mastrangelo, Thiago Barbosa Batista, Gustavo Roberto Fonseca de Oliveira, Isabela Lopes dos Santos, Edvaldo Aparecido Amaral da Silva

“…Extreme environmental conditions have been recurrent during the last few years and have impacted crop seed quality worldwide, mainly but not limited to, soybeans (Glycine max (L) Merrill). …”
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Identifying leptospirosis hotspots in Selangor: uncovering climatic connections using remote sensing and developing a predictive model by Muhammad Akram Ab Kadir, Rosliza Abdul Manaf, Siti Aisah Mokhtar, Luthffi Idzhar Ismail

“…Meanwhile, hotspot areas were mainly scattered in subdistricts throughout Selangor with clustering in the central region. …”
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Multiobjective optimization of CO2 injection under geomechanical risk in high water cut oil reservoirs using artificial intelligence approaches by Fankun Meng, Jia Liu, Gang Tong, Hui Zhao, Chengyue Wen, Yuhui Zhou, Vamegh Rasouli, Minou Rabiei

“…Therefore, a hybrid optimization framework was designed that combines artificial intelligence methods (Support Vector Regression with the Gaussian kernel, Gaussian-SVR or Long Short-Term Memory, LSTM) and multi-objective optimization algorithms (multiple objective particle swarm optimization, MOPSO or Non-dominated Sorting Genetic Algorithm II, NSGA-II) to find the optimal CO2 injection and production strategies under different water cut. …”
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Improving Efficiency of Rolling Mill Stand Electric Drives Through Load Alignment by Stanislav S. Voronin, Andrey A. Radionov, Alexander S. Karandaev, Roman A. Lisovsky, Boris M. Loginov, Mark A. Zinchenko, Vadim R. Khramshin, Ivan N. Erdakov

“…Experiments with the 5000 plate mill showed that the deterioration of energy efficiency can be caused by the misalignment of loads between the upper and lower roller main electric drive motors (upper main drive/UMD and lower main drive/LMD, respectively) caused by the misalignment of roller motor speeds. …”
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A novel tertiary lymphoid structure-associated signature accurately predicts patient prognosis and facilitates the selection of personalized treatment strategies for HNSCC by Jinhao Zhang, Lu Zeng, Lu Zeng, Guobin Song, Gaoge Peng, Gaoge Peng, Zhezheng Chen, Zhezheng Chen, Yamin Yuan, Taowu Chen, Tao Zhong, Shixi Chen, Zhengzhou Luo, Zhengzhou Luo, Jingang Xiao, Jingang Xiao, Jingang Xiao, Lin Liu, Lin Liu, Lin Liu

“…Prognostic genes were identified via univariate Cox and Boruta algorithms, and a novel TLS-related scoring system was developed via the GSVA algorithm.ResultsOur study revealed that patients with higher TLS-related scores had improved overall survival and were more likely to benefit from immunotherapy. …”
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Investigating the Complexity of Multidimensional Symptom Experiences in Patients With Cancer: Systematic Review of the Network Analysis Approach by Vincent Richard, Allison Gilbert, Emanuela Pizzolla, Giovanni Briganti

“…ConclusionsNA consistently identified core symptoms, particularly psychological symptoms and fatigue, and associations with inflammatory biomarkers. NA may deepen the understanding of symptom interconnectivity and guide more effective interventions. …”
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Резолюция Экспертного совета «Диагностика и лечение больных со сладжем в желчном пузыре» by V. T. Ivashkin, Alexey V. Okhlobystin, Dmitry S. Bordin, M. F. Osipenko, E. Ya. Seleznyova, Yu. O. Shulpekova, S. R. Abdulkhakov, O. P. Alexseyeva, I. G. Bakulin, L. G. Vologjhanina, V. B. Grinevich, N. V. Bakulina, T. A. Kolesova, N. V. Korochanskaya, I. V. Putintseva, A. S. Sarsenbayeva, N. S. Yazenok

“…Advisory council activity provided the algorithm of diagnosis and treatment of biliary sludge. …”
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Predictive machine-learning model for screening iron deficiency without anaemia: a retrospective cohort study by Girish N Nadkarni, Orly Efros, Eyal Klang, Shelly Soffer, Gili Kenet, Aya Mudrik, Renana Robinson

“…Implementing this tool in clinical settings may facilitate early diagnosis of IDWA.…”
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Impact of Medical Conditions and Area Deprivation on Fundraising Success in Online Crowdfunding: Cross-Sectional Study by Steven S Doerstling, Matthew M Engelhard, Dennis Akrobetu, Caroline E Sloan, Ada Campagna, Thuy-Vi Nguyen, Farrah Madanay, Felicia Chen, Peter A Ubel

“…Using a previously validated disease identification algorithm based on natural language processing, we identified the presence or absence of 11 broad disease categories in each campaign description. …”
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Peri- and postoperative complications of laparoscopic tubal ligation versus salpingectomy for permanent contraception: An ACS-NSQIP analysis by Vaishnavi J. Patel, Devki Patel, Kimberly Toumazos, Young Son, Komal Sharma, Virgil Kevin DeMario, Shelby Boock, Grace Lara, Alexandra McQuillen, Brianna Clark

“…Statistical analysis involved t test, chi-square test, and logistic regression analysis with the use of the random forest algorithm. The primary outcomes were perioperative and postoperative complications. …”
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Impact of Antiviral Treatment on Survival in HBV-Related Intrahepatic Cholangiocarcinoma Patients After Hepatectomy: A 14-Year Retrospective Follow-Up Study Based on the Propensity... by Chen Z, Zhang H, Zhang L, Han G, Zhang Y, Wu J, Li X, Mu X, Wang X

“…A 1:1 nearest-neighbor matching algorithm was adopted, and 64 pairs of AVT and non-AVT patients were included in the propensity score matching cohort. …”
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Phenotyping sarcoidosis: a single institution retrospective analysis by Francesco Rocco Bertuccio, Francesco Rocco Bertuccio, Davide Piloni, Davide Piloni, Marianna Russo, Marianna Russo, Fady Tousa, Fady Tousa, Mariachiara Crescenzi, Mariachiara Crescenzi, Paola Putignano, Paola Putignano, Nicola Baio, Nicola Baio, Ida Maragò, Angelo Guido Corsico, Angelo Guido Corsico, Giulia Maria Stella, Giulia Maria Stella

“…Additionally, the application of transcriptomics, interdisciplinary methods, patients' disease perspectives, and the publishing of novel discoveries may contribute to enhanced clinical support and a deeper comprehension of the etiology of illness.…”
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Integrating Social Determinants of Health in Machine Learning–Driven Decision Support for Diabetes Case Management: Protocol for a Sequential Mixed Methods Study by Seung-Yup Lee, Leslie W Hayes, Bunyamin Ozaydin, Steven Howard, Alison M Garretson, Heather M Bradley, Andrew M Land, Erin W DeLaney, Amy O Pritchett, Amanda L Furr, Ashleigh Allgood, Matthew C Wyatt, Allyson G Hall, Jane C Banaszak-Holl

“… BackgroundThe use of both clinical factors and social determinants of health (SDoH) in referral decision-making for case management may improve optimal use of resources and reduce outcome disparities among patients with diabetes. …”
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Sagittal Plane Kinematic Deviations and Spatio-Temporal Gait Characteristics in Children with Idiopathic Toe Walking: A Comparative Analysis Using Statistical Parametric Mapping by Rocio Pozuelo-Calvo, Almudena Serrano-Garcia, Yolanda Archilla-Bonilla, Angel Ruiz-Zafra, Manuel Noguera-Garcia, Kawtar Benghazi-Akhlaki, Miguel Membrilla-Mesa, Carla DiCaudo, Jose Heredia-Jimenez

“…While spatio-temporal parameters often remain within normal ranges, subtle but clinically significant kinematic deviations may underlie compensatory mechanisms that sustain gait functionality. …”
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