Characterizing timber harvest occurrence and intensity to inform forest carbon management across the eastern United States by Matthew B. Russell, Catherine J. Chamberlain, Lynn Riley, Natalia A. Mushegian, John S. Gunn, Ethan P. Belair, Sebastian U. Busby

“…Timber harvesting plays an important role in determining how forest management practices influence carbon storage and sequestration patterns. We analyzed recent harvesting patterns across the eastern United States to quantify harvest area, intensity, and type of silviculture across timberlands. …”
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Spatial Heterogeneity of Bike-Sharing–Conventional Bus Intermodal Trip Distribution by Yang Chenyang, Tang Wenyun, Ma Jianxiao, Yin Chaoying, Wang Hanbin

“…The results indicated that the density of bike-sharing trips near bus stops followed a consistent pattern. The density decreases with increasing distance from the stop, and the rate of decline exhibits a "U-shaped" pattern. …”
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Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…The high accuracy and low false positive rates enable utilities to recover unbilled revenue and reduce inspection costs, amplifying savings compared to raw data or traditional approaches. …”
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Importance of hospital-specific antibiotic policy for ensuring maternal quality of care in India: A narrative review by Arijit Banerjee, Jhuma Biswas

“…Implementing hospital-specific antibiotic policies effectively reduces infection rates and improves maternal-neonatal outcomes through standardized regimens prioritizing narrow-spectrum antibiotics and utilizing local antibiograms. …”
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Proactive Data Placement in Heterogeneous Storage Systems via Predictive Multi-Objective Reinforcement Learning by Suchuan Xing, Yihan Wang

“…The system incorporates a sophisticated reward mechanism that balances performance gains against migration overhead, while employing prioritized experience replay and adaptive learning rates to handle non-stationary workload characteristics. …”
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Evolution of the Diagnosis and Treatment of Acute Respiratory Distress Syndrome on the Basis of Up-to-Date Medical Technologies by Yu. V. Marchenkov, A. V. Vlasenko, V. V. Moroz, V. N. Yakovlev

“…The developed and clinically introduced new scientifically grounded methods for the prevention, diagnosis, and combination, differentiated treatment of ARDS could reduce the number of complications, the duration of mechanical ventilation, the length of stay in the intensive care unit, and mortality rates. Key words: acute respiratory distress syndrome, V. …”
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In Silico Identification and Characterization of Spiro[1,2,4]triazolo[1,5-<i>c</i>]quinazolines as Diacylglycerol Kinase α Modulators by Lyudmyla Antypenko, Kostiantyn Shabelnyk, Oleksii Antypenko, Mieko Arisawa, Oleksandr Kamyshnyi, Valentyn Oksenych, Serhii Kovalenko

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Differential accumulation of secondary metabolites as indicators of graft incompatibility in Cyclocarya paliurus by Sun Caowen, Xu Run, Guo Xuchen, Shang Xulan, Fang Shengzuo

“…This study aimed to investigate the secondary metabolites associated with graft success in C. paliurus by selecting three clones and three provenances as grafting scions and rootstocks. The survival rates of various graft combinations were meticulously recorded. …”
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Williams Syndrome and Agreement: The Case for Spanish Speakers by Antònia Llull Febrer, Lluís Barceló-Coblijn, Elga Cremades

“…Additionally, error rates are low in both groups, suggesting that observed discrepancies might be due to individual variation rather than condition-specific deficits, even though the statistical power of the study is limited. …”
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Clustering Library Loan Books Using K-Means Clustering by Mawar Indah Tanjung, Sriani Sriani

“…This study aims to classify books based on borrowing patterns to provide insights into library collection management. …”
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Who underreports smoking on birth records: a Monte Carlo predictive model with validation. by Thomas G Land, Anna S Landau, Susan E Manning, Jane K Purtill, Kate Pickett, Lauren Wakschlag, Vanja M Dukic

“…However, little is known about which populations have higher rates of underreporting. Availability of more accurate measures of smoking during pregnancy could greatly enhance the usefulness of existing studies on the effects of maternal smoking offspring, especially in those populations where underreporting may lead to underestimation of the impact of smoking during pregnancy.…”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Experimental evaluations demonstrate TANEA’s superior performance over traditional methods, achieving improved accuracy, reduced computational overhead, and faster convergence rates. The algorithm’s adaptability to various biomedical data patterns enables more effective real-time monitoring and decision-making in IoT-based healthcare environments. …”
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Joint estimation of hand-foot-mouth disease model and prediction in korea using the ensemble kalman filter. by Wasim Abbas, Sieun Lee, Sangil Kim

“…The implications of our findings suggest a notable shift in transmission and recovery rates, starting in 2015.<h4>Discussion</h4>The model successfully predicted the peak and magnitude of HFMD outbreaks occurring between June and December, closely matching the observed epidemic patterns. …”
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A Comprehensive Assessment of Ayurvedic Patient Care Services in a Modern Medicine Public Tertiary Care Hospital by Renuka Munshi, Santosh Kadam

“…Over five years patient retention rates exhibited a gradual increase signifying a higher level of patient satisfaction and loyalty towards Ayurvedic treatments. …”
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Multiple bursts of speciation in Madagascar’s endangered lemurs by Kathryn M. Everson, Luca Pozzi, Meredith A. Barrett, Mary E. Blair, Mariah E. Donohue, Peter M. Kappeler, Andrew C. Kitchener, Alan R. Lemmon, Emily Moriarty Lemmon, Carlos J. Pavón-Vázquez, Ute Radespiel, Blanchard Randrianambinina, Rodin M. Rasoloarison, Solofonirina Rasoloharijaona, Christian Roos, Jordi Salmona, Anne D. Yoder, Rosana Zenil-Ferguson, Dietmar Zinner, David W. Weisrock

“…Our analyses reveal multiple bursts of diversification (without subsequent declines) that explain much of today’s lemur diversity. We also find higher rates of speciation in Madagascar’s lemurs compared to lorisiforms, and we demonstrate that the lemur clades with high diversification rates also have high rates of genomic introgression. …”
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Tourism and covid-19 in three European cities. Change in persistence by Gloria Claudio-Quiroga, Cecilia Font de Villanueva, Luis Alberiko Gil-Alana

“…We consider hotel occupancy rate data with data beginning at October 1997 (in London), at March 2004 (in Berlin), while those in Manchester start at January 2006. …”
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Distribution and Antimicrobial Resistance Analysis of Blood Culture Isolates at a Chinese National Cardiovascular Regional Medical Center: A 7-Year Retrospective Study by Wang Q, Wu F, Li T

“…Among Staphylococcus isolates, methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococci (MRCNS) were identified at rates of 51.6% and 88.7%, respectively. The carbapenem resistance rates of K. pneumoniae and E. coli were 28.8% and 4.0%, respectively. …”
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Maternal mortality in modern world by E. I. Baranovskaya

“…The search was finished on October 13, 2021 after retrieving 137 results.Results. The rate of MM and cause pattern has been changing during COVID-19 pandemic. …”
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Molecular epidemiology of <i>Pseudomonas aeruginosa</i> in intensive care units by Demet Timur, Mustafa Ömür Parkan, Esma Gündüz Kaya

“…Results: the resistance rates of the strains for amikacin, gentamicin, ciprofloxacin, levofloxacin, ceftazidime, cefepime, imipenem, meropenem, colistin were 2.7%,18.7%, 38.7%, 22.7%, 16%, 5.3%, 64%, 60%, and 2.7% respectively. …”
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A dynamic early warning model based on LSTM-AM for property-based elderly care resource shortages in urban-rural integrated counties in China by Qingheng Sun

“…Results show that, taking Xuchang City, Henan Province as an example, by integrating multi-source time-series data such as county-level population aging rates, property-based elderly care service coverage rates, community facility maintenance data, and resident demand feedback, the model’s prediction error (MAE ≤ 0. 12, RMSE ≤ 0. 18) was reduced by 35% compared to traditional methods, and the warning accuracy (F1-score = 0. 89) was significantly superior to traditional models. …”
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