Modifying model life tables to derive mortality curves for countries with excess mortality by Lina María Sanchez-Cespedes

“…The method identifies the most appropriate model life table that reflects the mortality pattern without excess deaths and adjusts it to the actual one by considering external-cause mortality rates. …”
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Spatio-Temporal neighbors adaptive learning with two-point differences for ocean subsurface temperature reconstruction from 1960 to 2022 by An Wang, Hua Su

“…This study demonstrates the ASTEN method is well suited for subsurface temperature reconstruction, and holds great potential in the gaps-filling of sparse ocean observations with high missing rates over a large scale. The new reconstruction of subsurface temperature can effectively reduce the uncertainty of subsurface ocean warming analysis.…”
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Assessing the potential for carbon storage enhancement in forests of Xinjiang Uygur autonomous region, China by Zhizhong Chen, Mei Zan, Jingjing Kong

“…This study integrates multi-source remote sensing and forest inventory data to model Xinjiang’s forest age and carbon density (2019 baseline: 186.76 Mg/hm2 biomass, 93.38 Mg/hm2 carbon density, 46-year average age), revealing a south-to-north “low-high-low” spatial pattern. Using predictive models excluding anthropogenic and natural disturbances, we project forest carbon stock to reach 203.71 ± 2.31 Tg C by 2030 and 283.08 ± 4.23 Tg C by 2060, with declining carbon sink rates (3.67 ± 0.57 Tg C/a in 2019–2030 vs. 2.65 ± 0.56 Tg C/a in 2031–2060). …”
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Variable Aircraft Spacing Quadratic Bézier Curve Trajectory Planning for Cascading Delay Mitigation by Michael R. Variny, Travis W. Moleski, Jay P. Wilhelm

“…Specifically, uncrewed aerial systems utilizing near-maximum arrival rates would be greatly impacted when requested to move off their approach path and may interfere with others. …”
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Ultrasound elastography: advances and challenges in early detection of breast cancer by Jianmin Zhou, Yanchun Zhang, Shaohua Shi

“…The review specifically addresses how these techniques improve the detection of small, early-stage tumors and reduce false-positive rates in dense breast tissue. Artificial intelligence integration has transformed breast elastography workflow, introducing sophisticated pattern recognition and automated lesion characterization. …”
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Dysthyroxinaemia Among Sub-fertile Female Clients Attending Nizamiye Hospital, Abuja, Nigeria. by Biliaminu, S.A.* , AbdulAzeez, I.M. , Khan, N. , Bakr, M.R. , Oladosu, W.O. , Yusuff, J.O. and Okesina, A.B.

“…Thyroid function test should be encouraged in infertile female subjects for proper and prompt management to improve both natural fertility, spontaneous conception as well as conception rates with assisted reproductive therapy.…”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…Based on features, the sorted-out data gets evaluated through a GRU-LSTM (Gated Recurrent Unit - Long Short-Term Memory) network to identify the state of the infant as usual and suggestive of hypoglycemia—blood glucose below 70 mg/dL, pale complexion, profuse perspiration. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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Relationship of psychoalgological status and results of neurosurgical treatment of patients with discogenic radiculopathy by V. I. Leonov, I. O. Kritskaya, D. V. Svistov, E. V. Litvinenko, T. V. Sergeeva, V. V. Flud, M. N. Kravtsov, S. D. Mirzametov, N. P. Alexeyeva, A. Yu. Shcherbuk, Yu. A. Shcherbuk

“…According to the long-term results of neurosurgical treatment, patients were divided into three groups: 1 – with a good result; 2 – patients with a number of preserved complaints, who rated the result of the operation as satisfactory; 3 – unsatisfactory outcome. …”
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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
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What Kind of Information and Communication Technologies Do Patients with Type 2 Diabetes Mellitus Prefer? An Ecuadorian Cross-Sectional Study by Iván Chérrez-Ojeda, Emanuel Vanegas, Erick Calero, Karin Plaza, Jose A. Cano, Juan Carlos Calderon, Jorge Valdano, Jorge Oswaldo Gutierrez, Jose Guevara

“…The Internet was used by 45.2% of patients to obtain information about diabetes. SMS and email were rated as the most useful ICTs for receiving information (64.5% and 28.1%, resp.) and asking physicians about diabetes (63.8% and 26.1%, resp.). …”
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Perceptual (dis)similarities between colors and emotions: An empirical investigation with the image-based visual corpus analysis approach by Jinmeng Dou, Wenting Xue

“…The results reveal that (i) significant differences exist among the six colors in their effectiveness at capturing affective (dis)similarities among various emotional concepts, as well as in their association strength with the affective domain, and (ii) the valence and arousal ratings of emotion words are significantly correlated to the strength of their associations with five of the six color terms, with the exception of blue. …”
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Short Pharmacogenomic Investigation of COMT rs4680 in Analgesic Needs of Pediatric Patients with Congenital Abnormalities: A Cross-Sectional Study by Kohar Hari Santoso, Anna Surgean Veterini, Retti Kartika Bakti, Khildan Miftahul Firdaus, Bambang Pujo Semedi, Lucky Andriyanto

“…Pain scores were measured using the Wong-Baker Faces Scale and Numeric Rating Scale. Results: Three genotype–phenotype combinations of the COMT rs4680 gene were identified: GG (high activity), AG (intermediate activity), and AA (low activity). …”
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Exploring tomato farmers’ knowledge and adaptation practices to climate change: Insights from Chinsali district, Zambia by Francis Kabwe Mwamba, Lawrencia Taimolo, Shadreck Chinyanta, Joseph Mphande, Enock Siankwilimba, Pharoah Collins Sianangama, Oliver Jolezya Hasimuna

“…While 64.9% of respondents were highly aware of climate change, mainly informed by radio, only 5.5% rated their knowledge as very good. Farmers reported noticeable shifts in temperature and rainfall patterns and relied on measures such as drought-resistant seeds and irrigation systems. …”
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Predictive Modeling of Yoga's Impact on Venous Clinical Severity Scoring Using Gaussian Process Classification and Advanced Optimization Algorithms by Yazdan Ashgevari, Faranak Kazemi

“…The study focuses on individuals diagnosed with VCSS, using machine learning to analyze complex patterns in their clinical severity ratings before and during yoga practice. …”
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Benchmarking Mentorship: Creating and Validating a Quality Scale for ELT Mentors by Ali Kondori, Mitra Zeraatpishe, Hamid Ashraf, Khalil Motallebzadeh

“…The results of the Rasch rating scale model and Cronbach’s alpha indicated that the developed questionnaire had satisfactory validity and reliability indices. …”
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The impact of teaching materials on instructional design and teacher development by Lola Garay Abad, John Hattie

“…Teacher-created materials were rated as most useful (90.1%), and teachers reported high autonomy (94.1%) in selecting and adapting materials — a factor closely tied to increased classroom confidence. …”
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User Preferences of Airbnb Accommodation Spatially in The Special Region of Yogyakarta, Indonesia by Azis Musthofa, Arief Wicaksono, Raden Rijanta

“…Spatially, it shows that Airbnb accommodations in the Jetis and Kraton sub-districts achieve the most favorable ratings for amenities, location, hygiene, host and staff performance, as well as room and toilet conditions. …”
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Consumer preference and food values: can consumers in Tanzania play part in driving a sustainable food system? by Roselyne Alphonce, Yun Yun Gong, Hettie C. Schönfeldt, Lise Korsten

“…A mixed-method approach was employed, including interviews with six key food system actors, two focus group discussions with 16 consumers, and a survey of 750 consumers from urban and rural towns across three regions in Tanzania. Participants rated the importance of 16 food values such as hygiene, nutrition, taste, and price—using the Best-Worst Scaling method. …”
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The other in me: interpersonal multisensory stimulation changes the mental representation of the self. by Ana Tajadura-Jiménez, Stephanie Grehl, Manos Tsakiris

“…Finally, synchronous, as compared to asynchronous, IMS resulted in significant differences in participants' ratings of their experience, but unlike other bodily illusions, positive changes in subjective experience were related to the perceived physical similarity between the two faces, and not to identification.…”
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