Determination of the quantitative content of chlorophylls in leaves by reflection spectra using the random forest algorithm by E. A. Urbanovich, D. A. Afonnikov, S. V. Nikolaev

“…Determining the quantitative content of chlorophylls in plant leaves by their reflection spectra is an important task both in monitoring the state of natural and industrial phytocenoses, and in laboratory studies of normal and pathological processes during plant growth. …”
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Biofilm-Producing Bacteria and Risk Factors (Gender and Duration of Catheterization) Characterized as Catheter-Associated Biofilm Formation by Wani Devita Gunardi, Anis Karuniawati, Rainy Umbas, Saptawati Bardosono, Aida Lydia, Amin Soebandrio, Dodi Safari

“…To prevent CAUTI, patients with risk factors should be monitored by urinalysis tests to detect earlier the risk of biofilm formation.…”
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Continuous high-soy protein soymilk intake affects ordinary walking speed in the Japanese pre-frail and frail elderly: a randomized controlled trial by Nene Sato, Yuji Terashima, Makoto Sugawara, Ryoichi Unno, Hiroaki Asao, Mitsuhiro Iwasaki, Tomoyuki Watanabe, Tomoko Uno, Mitsuo Maruyama

“…Before and after the 12-week intervention, walking speed, skeletal muscle mass, grip strength, and the revised Japanese CHS questionnaire regarding fatigue and physical activity were examined to evaluate the impact of each soymilk on physical frailty and compare the variation between the two groups. Physical activity (monitored using a pedometer), dietary intake (determined by questionnaire), and estimated protein intake (determined by casual urine testing) were also recorded before and after the intervention. …”
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Evaluation of an Interdisciplinary Educational Program to Foster Learning Health Systems: Education Evaluation by Sathana Dushyanthen, Nadia Izzati Zamri, Wendy Chapman, Daniel Capurro, Kayley Lyons

“…The course covered a number of topics including background on LHS, establishing learning communities, the design thinking process, data preparation and machine learning analysis, process modeling, clinical decision support, remote patient monitoring, evaluation, implementation, and digital transformation. …”
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Diversity in Adaptive Evolution of Methicillin-Resistant Staphylococcus aureus Clinical Isolates Under Exposure to Continuous Linezolid Stress in vitro by Han T, Jia T, Wang J

“…MRSA isolates with higher MICs for linezolid evolved more easily into resistant ones, which calls for precise monitoring of linezolid resistance levels in patients receiving treatment for MRSA infections with linezolid.Keywords: MRSA, linezolid, inducible resistance, resistance mechanism…”
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Assessment of Treatment Outcomes and Associated Factors Among Pediatric Patients With Burkitt Lymphoma at Kenyatta National Hospital by Divya Kumari Toor, Amsalu Degu, Peter N. Karimi

“…The patients were retrospectively monitored from the initial cancer diagnosis until either death or the last follow‐up appointment visit in the facility. …”
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Multicenter Surveillance of Pseudomonas aeruginosa Isolates From Blood: Clinical Distribution Characteristics and Antibiotic Resistance Trends in Hebei Province, China (2016–... by Qiang C, Liu X, Qin P, Wen H, Li Z, Yang J, Niu Y, Wang W, Ouyang Z, Zhao M, Li J, Zhang Y, Zhao J

“…Predominantly, patients were in the hematology (20.7%) and critical care medicine (18.4%) departments. During the monitoring period, the resistance rate of P. aeruginosa to various antibacterial drugs, such as aminoglycosides, fluoroquinolones, and carbapenems, decreased to varying degrees, with an average resistance rate of less than 20.0% over six years. …”
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A mobile-based multidomain lifestyle intervention using Cognitive Evergreenland for older adults with subjective cognitive decline: a feasibility study by Rong Lin, Yuanjiao Yan, Zhili Chen, Chenshan Huang, Junyu Zhao, Mingfeng Chen, Hong Li

“…Methods Cognitive Evergreenland was designed to improve cognitive reserve and maintain brain function in people at high risk of dementia and included: cognitive stimulation, cognitive training, health education, vascular risk monitoring, social support, and functional assessment, among other features. …”
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Semifield Evaluation of Improved Passive Outdoor Host Seeking Device (POHD) for Outdoor Control of Anopheles arabiensis Mosquitoes by Stella T. Kessy, Bruno A. Nyundo, Ladslaus L. Mnyone, Issa N. Lyimo

“…Live mosquitoes were maintained in the semifield insectary and monitored for 24 hours mortality. Each treatment combination of the POHD was tested in three replicates. …”
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Effect of Lb. plantarum BFE 5092 Fermentation on Antinutrient and Oligosaccharide Composition of Whole Red Haricot Bean (Phaseolus vulgaris L) by Vivian C. Kitum, Peter K. Kinyanjui, Julius M. Mathara, Daniel N. Sila

“…Microbial growth and pH were monitored every 24 h during fermentation. After fermentation, the beans were dried and milled, and the flours were subjected to biochemical analysis. …”
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Analysis and Recommendation of Outdoor Activities for Smart City Users Based on Real-Time Contextual Data by S. R. Mani Sekhar, D. M. Mushtaq Ahmed, G. M. Siddesh

“…It helps to explore the pivotal role of real-time data in optimizing various aspects of city management, focusing on key domains such as traffic, public transportation, emergency response, waste management, and environmental monitoring. A variety of datasets, such as those on the weather, air quality, traffic patterns, event schedules, and user activity patterns, are gathered and analyzed as part of the methodology. …”
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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…The hybrid DQN-PPO-GNN-RL model addresses bottlenecks by dynamically managing computing and network resources, allowing for efficient operations in low-latency, high-demand environments such as autonomous systems, sensor networks, and real-time monitoring. The use of Graph Neural Networks (GNNs) improves the accuracy of resource representation, while reinforcement learning-based scheduling allows for seamless adaptation to changing workloads. …”
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Small Intestinal Bacterial Overgrowth Syndrome as a Risk Factor for Ventricular Tachycardia in Chronic Heart Failure with Left Ventricular Systolic Dysfunction by M. V. Fadeeva, M. R. Skhirtladze, V. T. Ivashkin

“…In the presence of complaints of palpitation and interruptions in the heart work or other indications, Holter ECG monitoring was performed. The control group consisted of 20 patients comparable to the main group by sex, age and major diseases in the absence of CHF and SIBOS.Results. …”
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“Effect of oral systemic administration of vitamin D on the rate of maxillary canine retraction: A randomized controlled trial” by Davender Kumar, Revathi Mn, Rekha Sharma, Ashuma Sachdeva, Nameksh Raj Bhupali, Ravinder Solanki

“…The canine retraction was initiated using nickel-titanium (NiTi) closed coil springs delivering a force of 100 gm per side and Vitamin D levels were monitored at monthly intervals. The patients' casts were digitally scanned and examined for differences in the rate of canine retraction at initial (T0), 4 weeks (T1), 8 weeks (T2), 12 weeks (T3), 16 weeks (T4) and 20 weeks (T5) intervals were calculated. …”
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An Interpretable Model for Salinity Inversion Assessment of the South Bank of the Yellow River Based on Optuna Hyperparameter Optimization and XGBoost by Xia Liu, Yu Hu, Xiang Li, Ruiqi Du, Youzhen Xiang, Fucang Zhang

“…It has been a mainstream trend to use machine-learning methods to achieve monitoring of large-scale salinized soil quickly. However, machine learning model training requires many samples and hyper-parameter optimization and lacks solvability. …”
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Impact of leukemia subtype and demographics on patient quality of life in 76 countries: a cross-sectional study by Sam Salek, Samantha Nier, Zack Pemberton-Whiteley, Tatyana Ionova, Giuseppe Ianni, Giovanni Tripepi, Nick York, Nicole Schroeter, Kathryn Huntley, Michael Rynne, Denis Costello, Lidija Pecova, Esther Natalie Oliva

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Pre-Season Precipitation and Temperature Have a Larger Influence on Vegetation Productivity than That of the Growing Season in the Agro-Pastoral Ecotone in Northern China by Yuanyuan Zhang, Qingtao Wang, Xueyuan Zhang, Zecheng Guo, Xiaonan Guo, Changhui Ma, Baocheng Wei, Lei He

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The effect of depth data and upper limb impairment on lightweight monocular RGB human pose estimation models by Gloria-Edith Boudreault-Morales, Cesar Marquez-Chin, Xilin Liu, José Zariffa

“…HPE model performances were monitored through accuracy and computational efficiency. …”
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Assessing the impact of sewage and wastewater on antimicrobial resistance in nearshore Antarctic biofilms and sediments by Melody S Clark, Benjamin H Gregson, Carla Greco, Harisree Paramel Nair, Marlon Clark, Claire Evans, Kevin A. Hughes, Kudzai Hwengwere, Marcus Leung, Lloyd S Peck, Caray A. Walker, William Chow

“…Therefore, it is critical to assess the impact that these itinerant visitors have on the natural environment. This includes monitoring human-mediated AMR, particularly around population concentrations such as visitor sites and Antarctic research stations. …”
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Ethnic disparities in HbA1c and hypoglycemia among youth with type 1 diabetes: beyond access to technology, social deprivation and mean blood glucose by Suma Uday, John Stuart Pemberton, Zhide Fang, Stuart A Chalew

“…We aimed to determine if HbA1c ethnic disparity persists after accounting for the above variables.Research design and methods A retrospective analysis of participants who received structured education in continuous glucose monitoring (CGM) use was conducted at a tertiary center. …”
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