Prevalence and associated factors of adherence to antihypertensive medication: a nationwide cross-sectional study by Muhammad Arshed, Mehwish Kiran, Muhammad Farooq Umer, Jamil Adnan Samkari, Syed Mehmood ul hassan, Shafqat Qamer, Ali Hassan Gillani, Sajid Hameed, Waseela Ashraf, Hasan Mujtaba, Muhammad Naseem Khan

“…Conclusion These findings highlight the complex interplay of demographics, medication patterns, and economic factors in medication adherence with very low adherence rates in Pakistan. …”
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Comparison of efficacy and safety between surgical and conservative treatments for hemorrhoids: a meta-analysis by Longfang Quan, Xuelian Bai, Fang Cheng, Jin Chen, Hangkun Ma, Pengfei Wang, Ling Yao, Shaosheng Bei, Xiaoqiang Jia

“…Surgery achieved higher rates of complete symptom resolution than conservative therapy (OR = 2.96, 95% CI: 1.66–5.28, p < 0.001). …”
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Trends and disparities in tuberculosis burden in Kazakhstan and Mongolia (2017–2021): a comparative analysis using GBD metrics by Oyunzul Amartsengel, Malika Idayat, Alexander Rommel, Natalya Glushkova, Kairat Davletov, Malik Adenov, Naranzul Dambaa, Lkhagvasuren Khorolsuren, Elena von der Lippe

“…Research highlights the importance of assessing the impact of TB on global morbidity statistics, given its status as a prominent contributor to global morbidity rates and the cause of over a million deaths annually. …”
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Associations of Protein Classes With Cross-Reactivity and Cross-Sensitization in Furry Animal Allergens: A Component-Resolved Diagnostics Study by Lu J, Zhu H, Yang Q, Xu Y, Huang Z, Sun B

“…Inhibition tests using serum albumin (SA) and lipocalin proteins were performed.Results: Sensitization rates of crude extracts from other furry animals ranged from 16.8% to 49.5%. …”
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A tale of two heatwaves: variable daily growth and a broad diet enable neustonic larval cabezon to thrive during warm oceanic conditions by Megan N. Wilson, Megan N. Wilson, Richard D. Brodeur, Toby D. Auth, G. Curtis Roegner, Cheryl A. Morgan, Samantha M. Zeman, Su Sponaugle

“…Findings include the first published measurement of larval cabezon daily growth rates. Mean growth rates were higher during MHWs, suggesting that elevated temperatures did not pose a major growth or survival challenge. …”
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Global burden of atrial fibrillation and atrial flutter due to high alcohol use from 1990 to 2021: estimates from the global burden of disease study 2021 by Xiaoming Wang, Changzheng Chen, Zhihua Yang, Yu Chen, Jun Fan, Renchun Tang, Yankun Shi, Lixia Yang

“…Methods We extracted GBD 2021 estimates on deaths, disability-adjusted life years (DALYs), and age-standardized rates (ASRs) for AF/AFL due to high alcohol use across 204 countries. …”
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Adherence to Pharmacological Management Guidelines for Stable Chronic Obstructive Lung Disease by Sang Min Han, Hyo Seon Kim, Seung Yong Park, Heung Bum Lee, Young Bum Park, Chin Kook Rhee, Youlim Kim, Seoung Ju Park

“…When analyzing inhaler prescription patterns according to both subgroups and considering the Korean 2018, GOLD 2019, and GOLD 2023 guidelines concurrently, the adherence rates were as follows: (56.6%, 37.8%, 24.0%) and (57.7%, 14.0%, 38.6%). …”
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Global, regional, and national burden of maternal disorders, 1990–2021: a systematic analysis from the global burden of disease study 2021 by Jie Huang, Yuanyuan Man, Zan Shi, Xiaojie Fu, Wenhao Shi, Xiaoling Liang

“…The Global Burden of Disease Study (GBD), recognized as the most comprehensive epidemiological surveillance system, provides critical evidence for optimizing maternal health policies through systematic quantification of disease burden patterns. This multinational study employs GBD 2021 data to conduct a spatiotemporal analysis of maternal disorder burden across 21 GBD regions and 204 countries and territories from 1990 to 2021, utilizing standardized metrics including DALYs, prevalence rates, and mortality incidence. …”
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Multi-Timescale Fault Interactions and Earthquakes: A Review by Mian Liu

“…Consequently, attention has been focused on the rate of strain accumulation on individual faults to infer their stress evolution, which, together with earthquake history, forms the basis for earthquake forecasting. …”
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Effects of Indoor Air Quality on Human Physiological Impact: A Review by Tong Nie, Guofu Zhang, Yinan Sun, Wenhao Wang, Tianai Wang, Haoyan Duan

“…Through an analysis of cardiovascular biomarkers (heart rate variability, blood pressure), respiratory parameters, and neurological indicators (electroencephalogram patterns), we identify the mechanisms linking air quality degradation to impaired physiological functioning. …”
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Type-specific human papillomavirus biological features: validated model-based estimates. by Iacopo Baussano, K Miriam Elfström, Fulvio Lazzarato, Anna Gillio-Tos, Laura De Marco, Francesca Carozzi, Francesca Carozzi, Annarosa Del Mistro, Joakim Dillner, Silvia Franceschi, Guglielmo Ronco

“…We devised a mathematical model to estimate the probability of infection transmission, the rate of clearance, and the patterns of immune response following the clearance of infection of 13 hrHPV types. …”
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GROWTH PERFORMANCE AND PRODUCTIVITY OF RUBBER & PLASTIC PRODUCTS INDUSTRY IN PUNJAB by GULSHAN KUMAR

“…The growth of industry has been gauged in terms of variables - number of units, fixed investment, employment and production. Yearly growth rates have been computed to catch year- to- year fluctuations in growth and compound annual growth rates (CAGRs) have been worked out to ascertain the impact of the policies of liberalized regime on growth of this industry. …”
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Solar FaultNet: Advanced Fault Detection and Classification in Solar PV Systems Using SwinProba‐GeNet and BaBa Optimizer Models by Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri, Faisal Alsaif

“…It also proposes the Solar FaultNet‐a novel deep learning‐based approach that significantly improves fault detection performance in solar PV systems and integrates the model with state‐of‐the‐art ML techniques like CNN and LSTM to capture inherent complex patterns and interdependencies of fault data. Besides, the proposed model outperforms conventional machine‐learning algorithms and state‐of‐the‐art deep‐ learning models for better performance by yielding higher accuracy, precision, recall, F1‐score, and low error rate on various fault types such as PV array faults, inverter faults, grid synchronization faults, and environmental faults. …”
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Binaural masking of amplitude modulation by M. Kordus, A. Sęk, J. Kociński

“…The character of this dependence confirms the existence of some form of a frequency selectivity in the modulation rate domain similarly to the audible frequency domain. …”
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Comprehensive Analysis of Radiologic Cancer-Free Status through Various Treatment Approaches in Advanced-Stage Hepatocellular Carcinoma by Keisuke Koroki, Sadahisa Ogasawara, Ryo Izai, Takuya Yonemoto, Teppei Akatsuka, Chihiro Miwa, Sae Yumita, Masanori Inoue, Kazufumi Kobayashi, Soichiro Kiyono, Masato Nakamura, Naoya Kanogawa, Takayuki Kondo, Shingo Nakamoto, Shinichiro Nakada, Nozomu Sakai, Masayuki Yokoyama, Masayuki Ohtsuka, Naoya Kato

“…Analysis of stage progression patterns revealed varying background characteristics at the time of advanced-stage diagnosis, with discrepancies in rCF rates. …”
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Effect of water-saving irrigation on the seasonal emission of CH₄ from paddy field by PENG Shi-zhang, LI Dao-xi, JIAO Xi-yun, HE Yan, YU Jin-yuan

“…There is no statistically significant difference on the mean emission rates of CH₄ between two kinds of irrigation patterns during the ponding to the peak tillering stage of rice (0.05&lt;P=0.87); while CH₄ emission rate from PFCI is significantly lower than that from PFFI during the later tillering to ripening stage of rice (0.00=P&lt;0.05). …”
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Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction by Viji Venugopal, Paresh Tanna, Ramesh Karnati

“…DLPIM introduces a feature encoder-based generator with a 4-headed self-attention mechanism and a Crop Growth Rate (CGR) guided temporal processor to capture complex time-series patterns while maintaining physiological consistency. …”
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LEE-CARTER MODELING FOR MORTALITY IN INDONESIA WITH A BAYESIAN APPROACH by Muhammad Fajar, Eko Fajariyanto

“…The data used in this study is data on mortality rates by age group from the period 1950–2015. The sourced of data was from the UN website. …”
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Pitch biases sensorimotor synchronization to auditory rhythms by Jesse K. Pazdera, Laurel J. Trainor

“…In Experiment 1, we observed U-shaped patterns in both mean asynchrony and continuation tapping rates, with participants tapping latest and slowest when synchronizing to low and extremely high (above 2000 Hz) pitches, and tapping earliest and fastest to moderately high pitches. …”
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Sexual harassment complaints across BSE100 companies: a longitudinal dataset (2013–2023) by Divya R., Gopi Ranga Nath V

“…This dataset can be utilised by the Indian Ministry of Women & Child Development and related stakeholders as a foundation for studying the impact of previous interventions and policy changes on complaint reporting rates. Additionally, it can also be used to analyse patterns and trends and give way to revisions to existing legal frameworks and improvements to grievance redressal mechanisms for sexual harassment complaints. …”
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