AN OVERVIEW OF INTEGRATING THE INTERNET OF THINGS AND ADVANCED AUTOMATION TECHNOLOGIES FOR SUSTAINABLE CROP GROWTH AND MONITORING IN PRECISION AGRICULTURE by Vishwas S, Nithesh Naik, Suhas Kowshik, Shilpa Suresh

“…The research explores key components required for IoT-based smart farming, including hardware platforms, cloud computing, data processing techniques, and communication protocols. …”
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Swedish abdominal massage against warm water therapy on postoperative orthopaedic surgery constipation: a comparison quasi-experimental study [version 2; peer review: 1 approved, 2... by Triani Banna, Indira Mastura Pulungan, Muhamad Adam, Enny Selawaty Boangmanalu, Sri Nining, Masfuri Masfuri

“…The Constipation Assessment Scale (CAS) questionnaire was used to assess the patient’s constipation levels before and after the intervention. The data analysis used independent t-test. Results The mean score of constipation of drinking water group after the intervention was 4.60 while abdominal Swedish massage was 3.56. …”
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Pulpal Responses to Leukocyte- and Platelet-Rich Plasma Treatment in Mouse Models for Immediate and Intentionally Delayed Tooth Replantation by Angela Quispe-Salcedo, Kiyoko Suzuki-Barrera, Mauricio Zapata-Sifuentes, Taisuke Watanabe, Tomoyuki Kawase, Hayato Ohshima

“…Quantitative analysis revealed positive Nestin staining during pulpal healing in the EG at week 1 following IR and week 2 following IDR. …”
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Differentiating biomarker features and familial characteristics of B-SNIP psychosis Biotypes by David A. Parker, Rebekah L. Trotti, Jennifer E. McDowell, Sarah K. Keedy, Matcheri S. Keshavan, Godfrey D. Pearlson, Elliot S. Gershon, Elena I. Ivleva, Ling-Yu Huang, Kodiak Sauer, S. Kristian Hill, John A. Sweeney, Carol A. Tamminga, Brett A. Clementz

“…Twenty-four different approaches indicated bio-factor data among probands were best described by three subgroups. …”
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A Comprehensive Framework for Parkinson's Disease Detection Using Spiral Drawings and Advanced Machine Learning Techniques by Mohamed J. Saadh, Waleed K. Abdulsahib, Hardik Doshi, Anupam Yadav, J. Gowrishankar, Mayank Kundlas, Nargiza Mansurova, Kamal Kant Joshi, Fadhil Feez Sead, Bagher Farhood

“…To enhance model performance, four feature selection techniques were applied: Principal Component Analysis (PCA), Recursive Feature Elimination (RFE), Least Absolute Shrinkage and Selection Operator (LASSO), and ANOVA. …”
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A Smart Glass Telemedicine Application for Prehospital Communication: User-Centered Design Study by Zhan Zhang, Enze Bai, Yincao Xu, Aram Stepanian, Jared M. Kutzin, Kathleen Adelgais, Mustafa Ozkaynak

“…In total, 43 distinct EMS providers with diverse backgrounds participated in this 2-year long iterative design process. All qualitative data (eg, transcribed interviews and discussions) were iteratively coded and analyzed by at least 2 researchers using thematic analysis. …”
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THE ROLE OF CHRONIC POLYPOID RHINOSINUSITIS IN OCCURRENCE OF MALIGNANT EPITHELIAL TUMORS OF THE PARANASAL SINUSES AND THE NASAL CAVITY by M. Yu. Vereshchagin, A. U. Minkin, L. S. Khodasevich

“…Retrospective and prospective clinical and morphological analysis of data of 58 patients with benign polypous changes (BPC) and of 182 patients with malignant epithelial tumors (MET)  of the NC and the PNS treated at the Arkhangelsk Regional Clinical Oncology Dispensary from 1980 to 2010 has been performed.Results and discussion The maximum number of patients in both groups is at the age category from 40 to 59 years. …”
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MRI-PATHOLOGICAL PARALLELS WITH THE COMPLETE TUMOR RESPONSE TO NEOADJUVANT CHEMORADIATION TREATMENT OF RECTAL CANCER by T. P. Berezoskaya, S. A. Mozerov, Ya. A. Dayneko, A. A. Nevolskikh, Z. N. Shavladze, S. A. Ivanov, A. D. Kaprin

“…Ten of these patients had MRI examinations available for re-review (retrospective assessment), which allowed for a qualitate ve assessment of the signal intensity in T2 mode on a nominal scale, according to which low, medium, moderately elevated and high MR signals were discerned; signal localization was determined relative to the intestinal lumen with conditional selection of the inner and outer layer of the wall, and the outer contour was charactezied (smooth or uneven due to hypointense spicules). The obtained data on the localization of the MR signal of varying intensity were compared with the data of the pathological description of the operating drugs.Results. …”
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Variability in performance of genetic-enhanced DXA-BMD prediction models across diverse ethnic and geographic populations: A risk prediction study. by Yong Liu, Xiang-He Meng, Chong Wu, Kuan-Jui Su, Anqi Liu, Qing Tian, Lan-Juan Zhao, Chuan Qiu, Zhe Luo, Martha I Gonzalez-Ramirez, Hui Shen, Hong-Mei Xiao, Hong-Wen Deng

“…Predictive modeling using genetic and clinical data offers a cost-effective alternative for assessing osteoporosis and fracture risk. …”
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Computed tomography radiomics of intratumoral and peritumoral microenvironments for identifying the invasiveness of subcentimeter lung adenocarcinomas by Yu-Qiang Zuo, Qing Liu, Tie-Zhi Li, Zhi-Hong Gao, Xu Yang, Yu-Ling Yin, Ping-Yong Feng, Zuo-Jun Geng

“…Methods A total of 142 consecutive patients with 142 pathologically confirmed subcentimeter LAC nodules were retrospectively studied from January 2020 to December 2023. The demographic data, clinical data, and CT features were retrospectively collected. …”
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Geriatric Nutritional Risk Index (GNRI) and Prognostic Nutritional Index (PNI) Before Treatment as the Predictive Indicators for Bone Metastasis in Prostate Cancer Patients by Chen L, Rao H, Chen N, Li R, Chen D, Jiang H

“…The optimal cutoff values of these indices were calculated by receiver operating characteristic (ROC) curve, and the relationship between these indices and bone metastasis was analyzed.Results: There were 836 (94.1%) cases were ≥ 60 years old, indicating that the majority of prostate cancer patients were elderly men. …”
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Complete percutaneous myocardial revascularization in patients with STEMI complicated by cardiogenic shock by Petrović Milovan, Jaraković Milana, Čanković Milenko, Srdanović Ilija, Kovačević Mila, Tešić Dragica, Ivanović Vladimir, Redžek Aleksandar, Velicki Lazar

“…The research was conducted as a retrospective observational analysis of data obtained from the hospital registry for cardiogenic shock. …”
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Innovative machine learning-based prediction of early airway hyperresponsiveness using baseline pulmonary function parameters by Hua Yang, Xingru Zhao, Zhuochang Chen, Lihong Yang, Guihua Zhao, Chenxiao Xu, Jinyi Xu

“…Data were randomly split into training (69.8%, n = 289) and validation (30.2%, n = 125) groups using R software (Version 4.4.1). …”
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Experimental and life cycle assessments of tomato (Solanum lycopersicum) cultivation under controlled environment agriculture by Farhat Abbas, Awni Al-Otoom, Salem Al-Naemi, Azad Ashraf, Hassan Mahasneh

“…A life cycle assessment of tomato production in the greenhouse, nethouse, and open space cultivation phases was carried out using experimental data. A life cycle directory, a holistic cradle-to-gate concept, OpenLCA software, and commercial databases were used to evaluate the experimental activities’ potential for acidification, eutrophication, global warming, human toxicity, ozone depletion, and photochemical ozone creation. …”
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Detection of Potential Occupational Health and Safety Risks (K3) in Nursing Education Laboratories by Ajeng Titah Normawati, Cipto Cipto, Vina Aditya Astuti

“…The HIRARC method is used to analyze hazard risks through the processes of hazard identification, risk assessment, and risk control. Data from hazard identification and risk assessment serve as the basis for determining risk control measures. …”
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Development and validation of machine learning models for predicting no. 253 lymph node metastasis in left-sided colorectal cancer using clinical and CT-based radiomic features by Hongwei Zhang, Kexin Wang, Shurong Liu, Guowei Chen, Yong Jiang, Yingchao Wu, Xiaocong Pang, Xiaoying Wang, Junling Zhang, Xin Wang

“…Finally, these models were evaluated using metrics such as the area under the receiver operating characteristic curve (AUC), precision-recall (PR) curves, decision curve analysis (DCA), net reclassification improvement (NRI), and integrated discrimination improvement (IDI). …”
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A Machine Learning Model for Predicting Prognosis in HCC Patients With Diabetes After TACE by Wu L, Chen L, Zhang L, Liu Y, Ouyang D, Wu W, Lei Y, Han P, Zhao H, Zheng C

“…Prediction performance was assessed by the receiver operating characteristic (ROC), calibration, and decision curve analysis curves. …”
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The multi-sectorial emergency response to a cholera outbreak in Internally Displaced Persons camps in Borno State, Nigeria, 2017 by Chikwe Ihekweazu, Moise Chi Ngwa, Alemu Wondimagegnehu, Ifeanyi Okudo, Collins Owili, Uzoma Ugochukwu, Peter Clement, Isabelle Devaux, Lorenzo Pezzoli, Mohammed Abba Jimme, Peter Winch, David A Sack

“…This qualitative study evaluated perspectives about the emergency response to this outbreak.Methods We conducted 39 key informant interviews and focus group discussions, and reviewed 21 documents with participants involved with surveillance, water, sanitation, hygiene, case management, oral cholera vaccine (OCV), communications, logistics and coordination. Qualitative data analysis used thematic techniques comprising key words in context, word repetition and key sector terms.Results Authorities were alerted quickly, but outbreak declaration took 12 days due to a 10-day delay waiting for culture confirmation. …”
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Electrocrystallization of Copper 7,7,8,8‐Tetracyanoquinodimethane Charge‐Transfer Complex on Flexible Substrates for Real‐Time Ammonia Gas Sensing by Ren Wang, Mohamed Kilani, Jiancheng Lin, Rona Chandrawati, Guangzhao Mao

“…This device enables on‐demand ammonia concentration analysis and operates battery‐free and wireless through mobile phone scanning. …”
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Direct-Driver Wind Turbine Model: A Bond Graph Approach by America Torres-Tinoco, Roberto Tapia-Sanchez, Aurelio Medina-Rios

“…The aerodynamic response was characterized using a realistic blade profile, and the performance of the system was validated through a series of simulations under different operating conditions. The model was designed to support system-level analysis and serves as a foundation for future integration with control strategies, condition monitoring, and fault diagnosis schemes. …”
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