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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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

“…Recommendations were adapted to local resistance patterns, resource availability, and patient demographics. …”
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Machine learning in stream and river water temperature modeling: a review and metrics for evaluation by C. R. Corona, T. S. Hogue, T. S. Hogue

“…<p>As climate change continues to affect stream and river (henceforth stream) systems worldwide, stream water temperature (SWT) is an increasingly important indicator of distribution patterns and mortality rates among fish, amphibians, and macroinvertebrates. …”
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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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Residential solar adoption—main determinants and the future of small-scale photovoltaics by Severin Reissl, Luis Sarmiento, Johannes Emmerling

“…We present a data-driven microsimulation model analyzing residential photovoltaic adoption in Germany to address uncertainties in future adoption rates. We develop and calibrate a technology adoption model incorporating economic, financial, and behavioral factors to replicate historical adoption patterns from 2007 to 2020 and project future scenarios. …”
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A 60-year atmospheric nitrate isotope record from a southeastern Greenland ice core with minimal postdepositional alteration by Z. Wei, S. Hattori, S. Hattori, S. Hattori, A. Tsuruta, Z. Jiang, S. Ishino, K. Fujita, S. Matoba, L. Geng, A. Lamothe, R. Uemura, N. Yoshida, N. Yoshida, N. Yoshida, J. Savarino, J. Savarino, Y. Iizuka

“…The ice core from the southeastern Dome (SE-Dome) in Greenland is a potential record of variations in atmospheric chemistry that has experienced a lower postdepositional effect owing to a high accumulation rate (<span class="inline-formula">∼1</span> m water equivalent per year). …”
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Widening and narrowing of time interval due to single‐event transients in 45 nm vernier‐type TDC by Pasupathy K. Ramaniharan, Bindu Boby

“…SETs in other constituent components of TDC such as D‐flip‐flop and priority encoder produces glitches which can be mitigated using existing guard gate technique.…”
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An Experimental Investigation on the Energy Signature Associated With Multiphase Flow in Porous Media Displacement Regimes by Shuangmei Zou, Dong Chen, Nong Kang, Congjiao Xie, Ryan T. Armstrong, Jianchao Cai

“…The findings highlight the importance of wettability and flow rates in determining the efficiency of fluid‐fluid displacement in porous media. …”
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Exploring Cyclists’ Behavior, Traffic Safety Literacy, and Crash Occurrence in Latvia by Katrina Volgemute, Zermena Vazne, Sergio A. Useche

“…Those who exhibit more anti-social behavior (such as traffic violations and riding errors) patterns are also more likely to be involved in road crashes. …”
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Missing The Forest For The Trees: A Lack Of Upper Extremity Physical Performance Testing In Sports Physical Therapy by Matthew L Gauthier, Casey A Unverzagt, Luciana De Michelis Mendonça, Amee L Seitz

“…# Background Despite shoulder and elbow injuries being common in athletics, return to sport and reinjury rates are less than ideal. These outcomes may be driven by the absence of evidence-informed testing to determine an athlete's readiness for sport…”
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Occurrence and Genetic Variation of <i>Monolepta hieroglyphica</i> (Motschulsky, 1858) (Coleoptera: Chrysomelidae), a Newly Emerging Pest, Among Hosts in Northeast China by Wei Sun, Xiuhua Zhang, Jiachun Zhou, Yuebo Gao

“…High gene flow rates were observed, likely contributing to decreased genetic variation. …”
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An item response theory analysis of the Dissociative Experiences Scale II: examining psychometric properties and longitudinal stability among Japanese adults by Tatsuya Ikeda, Yuhei Urano

“…Specifically, results suggested that the severity levels differed across item ratings, and to set cut-off points for each item based on the severity of the ratings. …”
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Arrhythmia detection with transfer learning architecture integrating the developed optimization algorithm and regularization method by Fatma Akalın, Pınar Dervişoğlu Çavdaroğlu, Mehmet Fatih Orhan

“…In addition, since the ECG patterns in pediatric patients are different from the ECG patterns in adults, physicians consider it a difficult and complex task. …”
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Time trends in subarachnoid haemorrhage mortality across the BRICS (Brazil, Russian Federation, India, China and South Africa): an age-period-cohort analysis for the GBD 2021 by Tingting Wang, Yuhang Wu, Suyan Guo, Luying Fan, Lizhang Chen

“…Countries demonstrated similar age-effect patterns, with risk decreasing as age increased. However, period and cohort effects varied, suggesting different control measures and temporal mortality trends.Conclusions Changing patterns of mortality from SAH in the BRICS countries over the last four decades vary. …”
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Smart deep learning model for enhanced IoT intrusion detection by Faisal S. Alsubaei

“…This superb performance of the OSNN model can be explained by the careful optimization of hyperparameters like strong activation functions (ReLU, GeLU, LeakyReLU), learning rates, dropout rates, and regularization techniques that enable it to learn intricate intrusion patterns efficiently using various datasets. …”
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Viral phylodynamics. by Erik M Volz, Katia Koelle, Trevor Bedford

“…Many viruses, especially RNA viruses, rapidly accumulate genetic variation because of short generation times and high mutation rates. Patterns of viral genetic variation are therefore heavily influenced by how quickly transmission occurs and by which entities transmit to one another. …”
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Multiscale spatial heterogeneity of population aging in relation to its influential factors: a case study in the Shaanxi-Gansu region, China by Fei Long, Qing Luo, Zirui Li

“…ObjectiveWith the extension of life expectancy and persistently low birth rates, population aging has become a pressing issue in China. …”
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Coherence and statistical insights for low electron count regimes in transmission electron microscopy by Joohyun Lee, Ji-Hwan Kwon, Sooheyong Lee

“…Low electron count rates, with a mean of approximately 0.017 electrons per pixel, reveal discrete electron events dominated by shot noise. …”
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Foliar methane and nitrous oxide fluxes in Salix bebbiana respond to light and soil factors by Md Rezaul Karim, Md Abdul Halim, Sean C. Thomas

“…Using rapid spectroscopic gas analysers, we observed consistent net foliar methane oxidation and nitrous oxide emission across all light conditions, demonstrating saturating light response patterns. Maximum flux rates were significantly more sensitive to soil conditions than carbon dioxide or water vapour exchange. …”
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