Variação do grau de dormência em sementes de Stylosanthes scabra de três regiões ecogeográficas do estado de Pernambuco Variation of dormancy extent of Stylosanthes scabra seeds fr... by Rosilda de Melo Queiroz, Valderez Pontes Matos, Clodoaldo J. da Anunciação Filho

“…<br>This study aimed at evaluating the genetic variability of Stylosanthes scabra (Alfafa of Northeast) populations as a result of the adaptation strategy to different environments from the regions: Mata, 'Agreste' and 'Sertão' in the state of Pernambuco. …”
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Cross-species comparisons between pigs and mice reveal conserved sex-specific intraspinal inflammatory responses after spinal cord injury by Reena Kumari, Gabrielle V. Hammers, Robert H. Hammons, Andrew N. Stewart, Steven M. MacLean, Tracy Niedzielko, Lonnie E. Schneider, Candace L. Floyd, John C. Gensel

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A REVIEW ON THE RELATIONSHIPS AMONG ADAPTIVE MARKETS HYPOTHESIS, THE EFFICIENT MARKETS HYPOTHESIS AND BEHAVIOURAL FINANCE by Kubra SARITEPECI, Ayhan KAPUSUZOGLU, Nildag Basak CEYLAN

“…In this study, the relationship between the Behavioural Finance approach and the Adaptive Markets Hypothesis, their similarities and differences are examined and it is aimed to complete this perspective that is felt to be lacking in the literature. …”
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Bridging micro and macroevolution: insights from chromosomal dynamics in plants by Carmen Benítez-Benítez, Ashwini V. Mohan, Rogelio Sánchez-Villegas, Inés Gómez-Ramos, Ana Valdés-Florido, Kay Lucek, Marek Slovák, Marek Slovák, Filip Kolář, Filip Kolář, Ilia J. Leitch, Modesto Luceño, Isabel Larridon, Angelino Carta, Angelino Carta, Joan Cuscó-Borràs, Enrique Maguilla, Alegría Montero-Ramírez, Patrick G. Meirmans, Alison Dawn Scott, Santiago Martín-Bravo, Marcial Escudero

“…At the macroevolutionary level, we investigated the association between karyotype diversity and diversification rates using evidence from comparative genomics, chromosomal evolution modelling across phylogenies, and the association with several traits across different angiosperm lineages. …”
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Exploring coastal climate adaptation through storylines: Insights from cyclone Idai in Beira, Mozambique by Henrique M.D. Goulart, Panagiotis Athanasiou, Kees van Ginkel, Karin van der Wiel, Gundula Winter, Izidine Pinto, Bart van den Hurk

“…This study uses storylines to evaluate adaptation strategies, focusing on cyclone Idai’s impact on Beira, Mozambique, under different climate conditions and tidal cycles. …”
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Smallholder Farmers’ perceptions of climate change and adaptation strategies in Southern Ethiopia: Mixed method approach by Negussie Zeray

“…Surveyed farmers in Karat Zuria largely perceive increasing climate change impacts, including unpredictable rainfall, heat-related crop and animal diseases, intensified weed infestations, rising temperatures, shorter rainy seasons, and worsening droughts/water shortages. 46.4%, 72.5%, 63.4%, 88.9%, 85.6%, 51.0%, and 88.9% of the smallholder farmers’ adaptation strategies to climate change are small-scale irrigation, agro-forestry, changing planting dates, soil and water conservation, growing different types of plants, growing different crop varieties, and using improved fodder crops and hay for livestock feed. …”
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A Weighted-Transfer Domain-Adaptation Network Applied to Unmanned Aerial Vehicle Fault Diagnosis by Jian Yang, Hairong Chu, Lihong Guo, Xinhong Ge

“…The WTDAN assigns different weights to the source domain samples in order to weight the different contributions of source samples to solve the problem during the training process. …”
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Comparison of Marginal and Internal Adaptation in Endocrowns Milled from Translucent Zirconia and Zirconium Lithium Silicate by Amirhesam Amini, Somayeh Zeighami, Safoura Ghodsi

“…The ZLS group showed significantly higher internal adaptation compared to the Zr group (P = 0.028), while the marginal adaptation differences, at different times with different methods, were not statistically significant (P > 0.05). …”
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Genomic epidemiology and evolution of Bordetella pertussis under the vaccination pressure of acellular vaccines in Beijing, China, 2020–2023 by Zhen Li, Fei Xiao, Yue Hou, Bin Jia, Ji Zhuang, Yang Cao, Jianxin Ma, Jianhong Zhao, Zengquan Xu, Zhe Jia, Fang Liu, Lin Pang, Jie Liu

“…In this study, the genetic evolution of B. pertussis was investigated, focusing on key virulence genes (ptxP, ptxA, prn, fim2, fim3, tcfA) and the resistance-related locus A2047 across different periods and regions. …”
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Adaptation and validation of a tool for assessing food knowledge based on the Nova classification for the Brazilian context by Kamila Tiemann Gabe, Gilberto Bassetto Junior, Patricia Constante Jaime

“…Total score is computed by comparing scores assigned to foods from different groups, and range from 0 to 8. The Brazilian version, named Nova-Conhecimento, was evaluated by experts and submitted to pre-tests with potential users. …”
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Adaptability of prognostic prediction models for patients with acute coronary syndrome during the COVID-19 pandemic by Takeshi Nakamura, Satoaki Matoba, Masahiro Nishi, Kenji Yanishi

“…The difference of 0.020 (95% CI −0.098–0.13) was not significant. …”
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A mental state aware brain computer interface for adaptive control of electric powered wheelchair by Syed Abu Huraira Hussain, Imran Raza, Syed Asad Hussain, Muhammad Hasan Jamal, Tauseef Gulrez, Ali Zia

“…Different machine learning tools and techniques are evaluated and applied to abstracted powerbands of psychological signals. …”
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Domestication of different varieties in the cheese-making fungus Geotrichum candidum by Bennetot, Bastien, Vernadet, Jean-Philippe, Perkins, Vincent, Hautefeuille, Sophie, Rodríguez de la Vega, Ricardo C., O’Donnell, Samuel, Snirc, Alodie, Grondin, Cécile, Lessard, Marie-Hélène, Peron, Anne-Claire, Labrie, Steve, Landaud, Sophie, Giraud, Tatiana, Ropars, Jeanne

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Centennial spatiotemporal evolution of AGC in subtropical forests and key driving factors − based on process modeling and geography detector by Lei Huang, Zihao Huang, Xuejian Li, Fangjie Mao, Meixuan Song, Yinyin Zhao, Fengfeng Ye, Lujin Lv, Jiacong Yu, Huaqiang Du

“…The trend of AGC spatiotemporal evolution was analyzed. The optimal parameters-based geographical detector (OPGD) model was also used to explore the key drivers of AGC changes. …”
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Adaptive-robust control for frequency and voltage stability in multi-terminal DC wind energy systems by Guo Li, Mohamed Salem, Khlid Ben Hamad, Tomonobu Senjyu, Soichiro Ueda

“…Response the simulation results are evaluated and analyzed in the form of different scenarios that have been done in the MATLAB software environment. …”
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An Improved Size and Direction Adaptive Filtering Method for Bathymetry Using ATLAS ATL03 Data by Lei Kuang, Mingquan Liu, Dongfang Zhang, Chengjun Li, Lihe Wu

“…To evaluate the precision and reliability of the ISDAF, ATLAS ATL03 data from different water environments and seafloor terrains were used to perform bathymetric experiments. …”
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Characterization of gut microbiota in Apis cerana Across different altitudes in the Peninsular India by K. Hariprasath, M. Dhanvarsha, S. Mohankumar, M. Sudha, N. Saranya, V. R. Saminathan, S. Subramanian

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An adaptive weighting algorithm for accurate radio tomographic image in the environment with multipath and WiFi interference by Manyi Wang, Zhonglei Wang, Xiongzhu Bu, Enjie Ding

“…In this article, we propose and evaluate an adaptive weighting radio tomography image algorithm to improve the accuracy of radio frequency device-free localization in the environment with multipath and different intensity of WiFi interference. …”
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The Ever-Evolving Dark Side Emotions of the Football Supporters: A Study on Adaptation of Schadenfreude Scale by Ahmet Anıl Karapolatgil, İrge Şener

“…This study is aimed to understand and classify supporters’ schadenfreude reasons based on an adapted scale. For this aim, the data gathered from a questionnaire consisting of a sample of 1.163 supporters of 14 Turkish football teams is examined by SPSS in order to reveal participants’ schadenfreude and their reasons for evaluating their rivals. …”
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Classification of Non-Frozen and Frozen–Thawed Pork with Adaptive Support Vector Machine and Electronic Nose by Paul Christian E. Artista, Abraham M. Mendoza, Dionis A. Padilla

“…Its performance was evaluated with recall, F1 scores, and precision. To further enhance the model’s performance, future studies are mandated to integrate additional gas sensors, increase sample sizes, advance data preprocessing techniques, and explore different machine learning algorithms or ensemble methods.…”
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