Site-specific growth dynamics and yield patterns in Populus deltoides against edaphic variability over seven age-gradations. by Ashok Kumar Dhakad, Tarsem Singh, Avtar Singh, Kuldip Singh

“…Current Annual Increment (CAI) values for tree growth variables increased initially but declined after the third age-gradation. …”
Get full text

Can we predict hypoadrenocorticism in dogs with resting hypocortisolemia? A predictive model based on clinical, haematological, and biochemical variables by Nuno Sousa Santos, Tiago Dias Domingues, Antonio Maria Tardo, Marta Dinis, Luísa Mateus, Federico Fracassi, Rodolfo Oliveira Leal, Rodolfo Oliveira Leal

“…Acute gastrointestinal signs, anorexia and lethargy were more prevalent in the HA group. Creatinine, BUN, ALT, and potassium were higher, and albumin, sodium and Na/K ratio were lower in the HA group. …”
Get full text

A systematic review informing recommendations for assessing implementation variability in universal, school-based social and emotional learning interventions by Annie O’Brien, Margarita Panayiotou, Joao Santos, Suzanne Hamilton, Neil Humphrey

“…Impact statements: • This review reveals that the relationship between implementation variability and child outcomes in universal, school-based SEL interventions remains largely inconclusive due to limited attention, and poor-quality approaches, examining this relationship. • We call for more and high-quality studies examining the relationship between implementation processes and outcomes. • Alongside this call for action, we offer recommendations to advance implementation process evaluations, actionable insights for researchers and their partners/collaborators, and provide a methodological framework and a quality appraisal checklist to guide and support researchers in conducting a high-quality quantitative assessment of the implementation-outcomes relationship from design through to analysis and reporting.…”
Get full text

Understanding regular exercise behavior in frail older adults: a structural equation model based on social-cognitive variables by Shiqi Yu, Jie Lin, Siping Song, Shuqi Huang, Fan Liu, Mingzhao Xiao

Get full text

Development of Bimodal Emotion Recognition System Based on Skin Temperature and Heart Rate Variability Using Hybrid Neural Networks by Sayat Orynbassar, Duygun Erol Barkana, Evan Yershov, Madiyar Nurgaliyev, Ahmet Saymbetov, Batyrbek Zholamanov, Gulbakhar Dosymbetova, Ainur Kapparova, Nursultan Koshkarbay, Nurzhigit Kuttybay, Askhat Bolatbek, Kymbat Kopbay, Dinara Almen

“…Most studies indicate that bimodal emotion recognition systems are more objective and accurate. However, many of these systems depend on physiological signals that require direct measurement, which introduces certain limitations. …”
Get full text

Associations of the severity of carotid and subclavian atherosclerosis with the conventional risk factors, clinical and angiographic variables in patients with acute coronary syndr... by L. L. Bershtein, M. D. Lunina, D. S. Evdokimov, T. V. Nayden, V. E. Gumerova, I. N. Kochanov, A. A. Ivanov, S. A. Boldueva, E. D. Resnyanskaya, E. V. Zbyshevskaya, A. E. Evtushenko, V. Kh. Piltakyan, S. A. Sayganov

“…In patients with ACS, only age, glomerular filtration rate and history of peripheral artery disease demonstrated the independent associations with carotid/subclavian atherosclerotic burden. Assessed variables explained 13% of TPA variability.…”
Get full text

Trends and Variability of PM2.5 at Different Time Scales over Delhi: Long-term Analysis 2007–2021 by Chetna, Surendra K. Dhaka, Gagandeep Longiany, Vivek Panwar, Vinay Kumar, Shristy Malik, A. S. Rao, Narendra Singh, A. P. Dimri, Yutaka Matsumi, Tomoki Nakayama, Sachiko Hayashida

“…Government agencies need more strict action plans, especially during winter, to comply with air quality standards.…”
Get full text

Spatiotemporal Variation in Carbon and Water Use Efficiency and Their Influencing Variables Based on Remote Sensing Data in the Nanling Mountains Region by Sha Lei, Ping Zhou, Jiaying Lin, Zhaowei Tan, Junxiang Huang, Ping Yan, Hui Chen

Get full text

Analysis of the influence of renal replacement therapy on the development of carbohydrate metabolism disorders and glycemia variability in patients with chronic kidney disease by T. N. Markova, V. O. Yavorskaya, A. I. Ushakova, V. A. Berdinsky, T. V. Ibragimova, L. A. Kumakhova, A. D. Orlova, S. S. Usatiuk

“…The prevalence of CMD in the total group was higher according to FPG and/or PPG level than according to HbA1c value (31,3% vs 10%, p<0,001). 33,3% of patients on RRT had CMD; in the group with CKD without RRT, CMD was detected in 30% of patients (p=0,025). CMD were more frequent in patients on CAPD than in patients on pHD (46,7% vs 20%, p=0,028), mainly due to IFG. …”
Get full text

Variability of bulb morpho-geometrical properties in onion (Allium cepa L.) germplasm collections, using digital imaging tools by Seong-Hoon Kim, Kanivalan Iwar, JiWon Han, Inchan Choi, Jaesu Lee, Kingsley Ochar

“…The emergence and application of phenomics tools such as digital cameras are more convenient for rapid phenotypic characterization. …”
Get full text

Rate of double reduction and genetic variability in yield, quality, and senescence related traits in tetraploid potato (Solanum tuberosum L.) by Muhammad Farhan Yousaf, Muhammad Farhan Yousaf, Vipin Tomar, Hélène Romé, Merethe Bagge, Mathias Timmermann, Thinh Tuan Chu, Just Jensen

“…The amount of genetic variability is the foundation for genetic change in any plant breeding program, and the amount of double reduction can influence genetic gain and the amount of future genetic diversity in polyploid species. …”
Get full text

Bio-Inspired Thin-Walled Straight and Tapered Tubes with Variable Designs Subjected to Multiple Impact Angles for Building Constructions by Quanjin Ma, Nor Hazwani Mohd Yusof, Santosh Kumar Sahu, Yiheng Song, Nabilah Afiqah Mohd Radzuan, Bo Sun, Ahmad Yunus Nasution, Alagesan Praveen Kumar, Mohd Ruzaimi Mat Rejab

“…The MCDM method in conjunction with the COPRAS method is proposed, it provides valuable insights for safer and more resilient building construction.…”
Get full text

Crimean-Congo Hemorrhagic Fever Modeling Based on Climate Variables in Iran, Iraq, Kazakhstan, Russia and Turkey (1999-2022) by Dr. Irina Lizinfeld, Dr. Mohammad Fereidouni, Dr. Natalia Pshenichnaya, Dr. Gulzhan Abuova, Dr. Mohammad Reza Shirzadi, Dr. Hanan Abdulghafoor Khaleel, Dr. Riyadh Al Hilfi, Dr. Maryam Keshtkar-Jahromi

“…The 58.7% of the variability in CCHF cases was explained by its correlation with considered climate variables. …”
Get full text

Functional validation of somatic variability in TP53 and KRAS for prediction of platinum sensitivity and prognosis in epithelial ovarian carcinoma patients by Al Obeed Allah Mohammad, Ali Esraa, Krus Ivona, Holý Petr, Haničinec Vojtěch, Ambrozkiewicz Filip, Rob Lukáš, Hruda Martin, Mrhalová Marcela, Kopečková Kateřina, Bartáková Alena, Bouda Jiří, Spálenková Alžběta, Souček Pavel, Václavíková Radka

Get full text

Comparative study of nosZI and nosZII clade isolates: insights into their responses to environmental variables and soil fertilization types by Haoran Li, Qishi Luo, Lichao Sun, Huicui Xu, Xiaodong Hao, Kai Zhu, Ming Li, Bao Li, Wei Jiao, Jibiao Geng, Zhiqun Chen, Lihua Huang, Zongwei Xia

Get full text

Headaches in Healthcare Workers: A Prospective Study of Precipitating and Maintenance Variables and Their Relationship with Burnout as a Post-COVID Syndrome by Fernanda Gil-Almagro, Francisco Javier Carmona-Monge, Fernando José García-Hedrera, Cecilia Peñacoba-Puente

“…Conclusions: The present research differentiates between precipitating and maintenance factors of headaches in HCWs. The former, more studied in previous research, are usually related to sociodemographic and occupational variables and levels of anxiety and stress. …”
Get full text

Effects of selection for litter size variability on ovarian folliculogenesis, ovarian cell proliferation, apoptosis, and production of regulatory peptides in rabbits by Imane Hadjadj, Zuzana Fabová, Maria de la Luz García, Barbora Loncová, Martin Morovic, Peter Makovicky, Ivan Agea, Alexander V. Sirotkin, María-José Argente

“…For this purpose, the association between litter size variability, fecundity, ovarian morphology, and markers of proliferation, apoptosis, steroidogenesis, and the presence of regulatory proteins were examined in ovarian cells from two rabbit lines divergently selected for low (LL) and high (HL) variability in litter size throughout sixteen generations. …”
Get full text

A Dual-Variable Selection Framework for Enhancing Forest Aboveground Biomass Estimation via Multi-Source Remote Sensing by Dapeng Chen, Hongbin Luo, Zhi Liu, Jie Pan, Yong Wu, Er Wang, Chi Lu, Lei Wang, Weibin Wang, Guanglong Ou

“…However, the accuracy and stability of the forest AGB estimation results are affected by multiple remote sensing feature variables as well as parameter tuning of machine learning algorithms. …”
Get full text

Structural variant allelic heterogeneity in MECP2 duplication syndrome provides insight into clinical severity and variability of disease expression by Davut Pehlivan, Jesse D. Bengtsson, Sameer S. Bajikar, Christopher M. Grochowski, Ming Yin Lun, Mira Gandhi, Angad Jolly, Alexander J. Trostle, Holly K. Harris, Bernhard Suter, Sukru Aras, Melissa B. Ramocki, Haowei Du, Michele G. Mehaffey, KyungHee Park, Ellen Wilkey, Cemal Karakas, Jesper J. Eisfeldt, Maria Pettersson, Lynn Liu, Marwan S. Shinawi, Virginia E. Kimonis, Wojciech Wiszniewski, Kyle Mckenzie, Timo Roser, Angela M. Vianna-Morgante, Alberto S. Cornier, Ahmed Abdelmoity, James P. Hwang, Shalini N. Jhangiani, Donna M. Muzny, Tadahiro Mitani, Kazuhiro Muramatsu, Shin Nabatame, Daniel G. Glaze, Jawid M. Fatih, Richard A. Gibbs, Zhandong Liu, Anna Lindstrand, Fritz J. Sedlazeck, James R. Lupski, Huda Y. Zoghbi, Claudia M. B. Carvalho

“…Whereas the level of MECP2 is a key determinant of the phenotype, the DNA rearrangement structure can contribute to clinical severity and disease expression variability. Employing this type of analytical approach will advance our understanding of the impact of genomic rearrangements on genomic disorders and may help guide more targeted therapeutic approaches.…”
Get full text

Superposition Methods for Topology Optimization for Non-Concurrent Loads by Daniel Miler, Matija Hoić

“…While dynamic topology optimization more realistically solves such problems, it is also much more computationally expensive and requires complex mathematical formulations and solvers. …”
Get full text