The Time-Space Regimes of Human Mobility in the North Atlantic Island Spaces (Iceland, Azores, Madeira, the Canary Islands, and Cape Verde) by Luis Manuel Jerez-Darias, Josefina Domínguez-Mujica

“…To this end, it is necessary to recognise the rhythms of the migration transition and its parallelism with the socio-economic development of the island spaces themselves. In addition, common features can be identified in their recent migration patterns in which a great diversification of origins and destinations predominates, as well as a multiplicity of motivations. …”
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Epigenetic dynamics of partially methylated domains in human placenta and trophoblast stem cells by Hidehiro Toh, Hiroaki Okae, Kenjiro Shirane, Tetsuya Sato, Hirotaka Hamada, Chie Kikutake, Daisuke Saito, Takahiro Arima, Hiroyuki Sasaki, Mikita Suyama

“…Conclusions Our findings suggest that spatiotemporal genomic features shape megabase-scale DNA methylation patterns, including PMDs, in the human placenta and highlight distinct differences in PMDs between human cytotrophoblasts and trophoblast stem cells. …”
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Tectonic geomorphological evidence of late Quaternary segmented activity along the northern margin fault of Lajishan by ZHANG Lijun, YUAN Daoyang, LI Hongqiang, SU Qi, SU Ruihuan, CHEN Yanwen, WEN Yameng

“…HI spatial distribution patterns along the North Lajishan fault show multiple high-value zones within piedmont basins. …”
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The ZTF Source Classification Project. III. A Catalog of Variable Sources by Brian F. Healy, Michael W. Coughlin, Ashish A. Mahabal, Theophile Jegou du Laz, Andrew Drake, Matthew J. Graham, Lynne A. Hillenbrand, Jan van Roestel, Paula Szkody, LeighAnna Zielske, Mohammed Guiga, Muhammad Yusuf Hassan, Jill L. Hughes, Guy Nir, Saagar Parikh, Sungmin Park, Palak Purohit, Umaa Rebbapragada, Draco Reed, Daniel Warshofsky, Avery Wold, Joshua S. Bloom, Frank J. Masci, Reed Riddle, Roger Smith

“…We also identify the most important features for XGB classification and compare the performance of the two ML algorithms, finding a pattern of higher precision among XGB classifiers. …”
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Pigmentary Mosaicism: An Overview by C. Colmant, E. Legius, N. Cattaert, M.‐A. Morren

“…Pigmentary mosaicism is reflected by a patterned hypo‐, hyperpigmentation, or both combined in cutis tricolour. …”
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تطبیق نماذج ونظریات سلوکیات البحث عن المعلومات فى الأطروحات الجامعیة العربیة فى مجالات استخدام المعلومات والافادة منها : دراسة تحلیلیة... by د. هانم عبد الرحیم ابراهیم

“…This study has two parts, the first one is an overview of the information seeking behavior: theories and models, including its’ definition, types, and development. It also compares between them to indicate their various features. …”
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Elevation and seasonality modulate the leaf decomposition rates and nutrient flux of diverse species and species richness in karst river systems across China by Zhangting Chen, Zhangting Chen, Muhammad Arif, Muhammad Arif, Mengyao Tian

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From lab to field with machine learning – Bridging the gap for movement analysis in real-world environments: A commentary by Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich

“…Finally, automated classification (e) refers to the process of developing a predictive model that assigns input features of data samples to predefined categories or classes using supervised ML. …”
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Deaf Languages: Does the Hypothesis Still Apply? by Laurence Vincent-Durroux

“…The lack of aural perception in the early months could be responsible for the development of specific cognitive representations, especially of time and space, which may account for persistent patterns of Deaf English despite the subsequent greater amount and variety in linguistic input.…”
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The Assessment Tools and Influencing Factors of Insomnia in Chinese Adolescents: a Scoping Review by YU Yuemin, MO Feifei, LI Lesi, PAN Jiyang

“…Only 1 study provided objectively measured sleep features. Three studies involved localized assessment or development of 5 self-report tools, and provided reliability and validity data. …”
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Семіотичний аспект еволюції формоутворення медично-реабілітаційних центрів by Tetiana

“…Thus, according to the purpose of the study, which is to determine the patterns and features of the manifestation of sign systems in the context of the evolution of health care, the author analyzed the theoretical basis of the study, characterized the specifics of the cognitive method of meaning in architecture, identified patterns and features of architectural signs. systems of medical and rehabilitation buildings. …”
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Testicular Adrenal Rest Tumors: Sonographic and Magnetic Resonance Imaging Characteristics of Its Different Stages by Mohamed Sherif El-Sharkawy

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The genome of a sea spider corroborates a shared Hox cluster motif in arthropods with a reduced posterior tagma by Nikolaos Papadopoulos, Siddharth S. Kulkarni, Christian Baranyi, Bastian Fromm, Emily V. W. Setton, Prashant P. Sharma, Andreas Wanninger, Georg Brenneis

“…Sea spiders (Pycnogonida) represent the uncontested marine sister group of all other chelicerates, featuring a—likely plesiomorphic—indirect development. …”
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Adaptation to Soil Conditions of in vitro Regenerated Birch Lines Selected for Salinity Resistance by Olga S. Mashkina, Tat’yana M. Tabatskaya

“…The survival rate, growth and development of plants have been evaluated depending on age, substrate composition and adaptation patterns. …”
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Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants by Lafta Alkhazraji, Ayad R. Abbas, Abeer S. Jamil, Zahraa Saddi Kadhim, Wissam Alkhazraji, Sabah Abdulazeez Jebur, Bassam Noori Shaker, Mohammed Abdallazez Mohammed, Mohanad A. Mohammed, Basim Mohammed Al-Araji, Abdulkareem Z. Mohmmed, Wasiq Khan, Bilal Khan, Abir Jaafar Hussain

“…Performance of the proposed model was evaluated across three octaves to amplify the maximum possible patterns and features of the base image. The resulting dream-like images contain shapes that reflect elements from the ImageNet dataset on which the above pre-trained models were trained. …”
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Improving the Accuracy of Batik Classification using Deep Convolutional Auto Encoder by Muhammad Faqih Dzulqarnain, Abdul Fadlil, Imam Riadi

“…By forcing the autoencoder to learn a lower-dimensional latent representation that captures the most salient features of the batik patterns. The performance of this enhanced model was compared against a standard convolutional neural network (CNN) without the autoencoder. …”
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Machine learning of clinical phenotypes facilitates autism screening and identifies novel subgroups with distinct transcriptomic profiles by Wasana Yuwattana, Thanit Saeliw, Marlieke Lisanne van Erp, Chayanit Poolcharoen, Songphon Kanlayaprasit, Pon Trairatvorakul, Weerasak Chonchaiya, Valerie W. Hu, Tewarit Sarachana

“…Clustering analyses revealed three distinct subgroups identifiable through both clinical symptoms and gene expression patterns. When ASD were grouped based on clinical features, stronger associations emerged between symptoms and underlying molecular profiles compared to grouping based on gene expression alone. …”
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Comparative analysis of amino acid sequence level in plant GATA transcription factors by Mangi Kim

“…Abstract Transcription factors (TFs) are essential regulators of gene expression, influencing numerous biological processes such as development, growth, and cellular responses in plants. …”
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Uncovering the functional aspect of translator style: corpus stylistic insights by Kan Wu

“…This involves an examination of how the translators render thematic words and handle the resulting lexico-semantic patterns. The findings reveal notable disparities in the translators’ functional styles, which are influenced by multiple translatorial and extra-translatorial factors, including the translators’ backgrounds, motivations, preferences, interpretation, patronage, and technological development. …”
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Science of science by S. Fortunato, C. T. Bergstrom, K. Börner, J. A. Evans, D. Helbing, S. Milojević, A. M. Petersen, F. Radicchi, R. Sinatra, B. Uzzi, A. Vespignani, L. Waltman, D. Wang, A.-L. Barabási

“…The science of science uses large-scale data on the production of science to search for universal and domainspecific patterns. Here, we review recent developments in this transdisciplinary field.…”
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