Impact of extreme ambient temperatures on low birth weight: Insights from empirical findings in Pakistan by Syed Hira Fatima, Asif Khaliq, Salima Meherali, Zahid Memon, Zohra S. Lassi

“…We used a space-time-series study design with quasi-Poisson distributed lag nonlinear regression. Models were adjusted for long-term trends, seasonality, and socio-economic factors, including maternal education, wealth index and rural residence. …”
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Estimation of the Annual Greenhouse Gas Emissions from the Town Gas Distribution System in Hong Kong in 2022 by Daisong Chen, Tsz Lap Chan, Jin Shang

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Future Climate Change Will Reduce the Potential Distributions of Biocrusts: A Case Study on the Loess Plateau of China by Ning Liu, Liqian Gao, Huihui Tian, Yunge Zhao

“…We took the Loess Plateau (LP) region of China as the research area and used the maximum entropy (MaxEnt) model to simulate the potential distributions (PDs) of biocrusts from 1970 to 2100. …”
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Effect of experimental and clinical pain on the spatial distribution of muscle activity: a systematic review and meta-analysis by Guillermo Mendez-Rebolledo, Ignacio Orozco-Chavez, Joaquín Salazar-Méndez, Juan Morales-Verdugo, Eduardo Martinez-Valdes

“…The meta-analysis revealed a statistically significant shift in the center of activity in individuals with clinical pain compared with asymptomatic controls (SMD = 0.49; 95% CI = 0.15 to 1.84; p = 0.004), particularly those with chronic low back pain, with a low effect size (SMD = 0.43; 95% CI = 0.03 to 0.83; p = 0.04), indicating altered spatial distribution of muscle activity. …”
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Polarization and Forward Scattering Effects in Low Energy Positron Collisions with H₂ by Wagner Tenfen, Josiney de Souza Glória, Sarah Esther da Silva Saab, Eliton Popovicz Seidel, Felipe Arretche

“…Our results show that the model which includes up to the quadrupole polarization contribution presents better agreement to the recent experimental data when corrected for forward scattering effects, since they were measured from a transmission beam technique. …”
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Towards Precision Medicine in Sinonasal Tumors: Low-Dimensional Radiomic Signature Extraction from MRI by Riccardo Biondi, Giacomo Gravante, Daniel Remondini, Sara Peluso, Serena Cominetti, Francesco D’Amore, Maurizio Bignami, Alberto Daniele Arosio, Nico Curti

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Health-care distribution of patients with genitourinary birth defects in Colombia: a spatial analysis of registered cases by Jessica Santander, Andrés Gutiérrez, Marcela Pérez-Sosa, María P. Donoso, Nicolas Fernandez

“…Understanding the distribution of health access is essential for the design of health interventions and resource distribution. …”
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Reconsidering big data security and privacy in cloud and mobile cloud systems by Lo'ai A. Tawalbeh, Gokay Saldamli

“…Secondly, we explore the use of P2P Cloud System (P2PCS) for big data processing and analytics. Thirdly, we propose an efficient hybrid mobile cloud computing model based on cloudlets concept and we apply this model to health care systems as a case study. …”
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Using landscape and bioclimatic features to predict the distribution of lions, leopards and spotted hyaenas in Tanzania's Ruaha landscape. by Leandro Abade, David W Macdonald, Amy J Dickman

“…However, lack of ecological data on large carnivore distribution and habitat use hinders the development of effective carnivore conservation strategies in this critical landscape. …”
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Generalized Metaplectic Convolution-Based Cohen's Class Time-Frequency Distribution: Theory and Application by Manjun Cui, Zhichao Zhang, Jie Han, Yunjie Chen, Chunzheng Cao

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Numerical Simulation of Vortex-Induced Transverse Vibration of a Cylinder with Very Low Mass Ratio by Xinxing Zhang, Minghan Hu, Jiancheng Cai, Andrii Babenko, E. Shiju, Zisheng Xu

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EV Smart Charging in Distribution Grids–Experimental Evaluation Using Hardware in the Loop Setup by Yunhe Yu, Lode De Herdt, Aditya Shekhar, Gautham Ram Chandra Mouli, Pavol Bauer

“…The proposed algorithm is verified and assessed in a power hardware-in-the-loop testbed that incorporates models of real LV distribution grids. Furthermore, the algorithm's capabilities are examined through eight scenarios, out of which four focus on the uncertainties of the input data and two address the engagement of extra grid capacity restrictions. …”
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Varying Performance of Low-Cost Sensors During Seasonal Smog Events in Moravian-Silesian Region by Václav Nevrlý, Michal Dostál, Petr Bitala, Vít Klečka, Jiří Sléžka, Pavel Polách, Katarína Nevrlá, Melánie Barabášová, Růžena Langová, Šárka Bernatíková, Barbora Martiníková, Michal Vašinek, Adam Nevrlý, Milan Lazecký, Jan Suchánek, Hana Chaloupecká, David Kiča, Jan Wild

“…Our findings suggest that, with appropriate calibration, selected low-cost sensors can provide reliable data for monitoring air pollution episodes in the Moravian-Silesian Region and may also be used for future adjustments of CAMS model predictions.…”
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AngleCam: Predicting the temporal variation of leaf angle distributions from image series with deep learning by Teja Kattenborn, Ronny Richter, Claudia Guimarães‐Steinicke, Hannes Feilhauer, Christian Wirth

“…Here, we present AngleCam, a deep learning‐based approach to predict leaf angle distributions from horizontal photographs acquired with low‐cost timelapse cameras. …”
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Equity in the cardiothoracic surgical workforce: addressing training gaps and workforce distribution in Africa– a narrative review by Samuel Mesfin Girma, Tsion Hiwot, Nanati Jemal Aliye, Elham Yimam, Ahmed K. Awad

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Spatial Semantic Expression of Terrain Viewshed: A Data Mining Method by Cheng Zhang, Yiwen Wang, Haozhe Cheng, Wanfeng Dou

“…This paper proposes a model to express topographical viewshed spatial relationships. …”
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Accelerating Energy Forecasting with Data Dimensionality Reduction in a Residential Environment by Rafael Gonçalves, Diogo Magalhães, Rafael Teixeira, Mário Antunes, Diogo Gomes, Rui L. Aguiar

“…Frequent model updates are necessary to adapt to distribution shifts and avoid performance degradation. …”
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Improvement of table tennis technology based on data mining in the environment of wireless sensor networks by Hongjian Ma

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XRISM Reveals Low Nonthermal Pressure in the Core of the Hot, Relaxed Galaxy Cluster A2029 by XRISM Collaboration, Marc Audard, Hisamitsu Awaki, Ralf Ballhausen, Aya Bamba, Ehud Behar, Rozenn Boissay-Malaquin, Laura Brenneman, Gregory V. Brown, Lia Corrales, Elisa Costantini, Renata Cumbee, Maria Diaz Trigo, Chris Done, Tadayasu Dotani, Ken Ebisawa, Megan E. Eckart, Dominique Eckert, Satoshi Eguchi, Teruaki Enoto, Yuichiro Ezoe, Adam Foster, Ryuichi Fujimoto, Yutaka Fujita, Yasushi Fukazawa, Kotaro Fukushima, Akihiro Furuzawa, Luigi Gallo, Javier A. García, Liyi Gu, Matteo Guainazzi, Kouichi Hagino, Kenji Hamaguchi, Isamu Hatsukade, Katsuhiro Hayashi, Takayuki Hayashi, Natalie Hell, Edmund Hodges-Kluck, Ann Hornschemeier, Yuto Ichinohe, Manabu Ishida, Kumi Ishikawa, Yoshitaka Ishisaki, Jelle Kaastra, Timothy Kallman, Erin Kara, Satoru Katsuda, Yoshiaki Kanemaru, Richard Kelley, Caroline Kilbourne, Shunji Kitamoto, Shogo Kobayashi, Takayoshi Kohmura, Aya Kubota, Maurice Leutenegger, Michael Loewenstein, Yoshitomo Maeda, Maxim Markevitch, Hironori Matsumoto, Kyoko Matsushita, Dan McCammon, Brian McNamara, François Mernier, Eric D. Miller, Jon M. Miller, Ikuyuki Mitsuishi, Misaki Mizumoto, Tsunefumi Mizuno, Koji Mori, Koji Mukai, Hiroshi Murakami, Richard Mushotzky, Hiroshi Nakajima, Kazuhiro Nakazawa, Jan-Uwe Ness, Kumiko Nobukawa, Masayoshi Nobukawa, Hirofumi Noda, Hirokazu Odaka, Shoji Ogawa, Anna Ogorzalek, Takashi Okajima, Naomi Ota, Stephane Paltani, Robert Petre, Paul Plucinsky, Frederick S. Porter, Katja Pottschmidt, Kosuke Sato, Toshiki Sato, Makoto Sawada, Hiromi Seta, Megumi Shidatsu, Aurora Simionescu, Randall Smith, Hiromasa Suzuki, Andrew Szymkowiak, Hiromitsu Takahashi, Mai Takeo, Toru Tamagawa, Keisuke Tamura, Takaaki Tanaka, Atsushi Tanimoto, Makoto Tashiro, Yukikatsu Terada, Yuichi Terashima, Yohko Tsuboi, Masahiro Tsujimoto, Hiroshi Tsunemi, Takeshi Tsuru, Hiroyuki Uchida, Nagomi Uchida, Yuusuke Uchida, Hideki Uchiyama, Yoshihiro Ueda, Shinichiro Uno, Jacco Vink, Shin Watanabe, Brian J. Williams, Satoshi Yamada, Shinya Yamada, Hiroya Yamaguchi, Kazutaka Yamaoka, Noriko Yamasaki, Makoto Yamauchi, Shigeo Yamauchi, Tahir Yaqoob, Tomokage Yoneyama, Tessei Yoshida, Mihoko Yukita, Irina Zhuravleva, Tommaso Bartalesi, Stefano Ettori, Roman Kosarzycki, Lorenzo Lovisari, Tom Rose, Arnab Sarkar, Ming Sun, Prathamesh Tamhane

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Application of Deep Learning to the Prediction of Solar Irradiance through Missing Data by R. Girimurugan, P. Selvaraju, Prabahar Jeevanandam, M. Vadivukarassi, S. Subhashini, N. Selvam, S. K. Hasane Ahammad, S. Mayakannan, Selvakumar Kuppusamy Vaithilingam

“…The projected model is evaluated on the widely available information by simulating missing data in each input series. …”
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