Osteoclast-independent osteocyte dendrite defects in mice bearing the osteogenesis imperfecta-causing Sp7 R342C mutation by Jialiang S. Wang, Katelyn Strauss, Caroline Houghton, Numa Islam, Sung-Hee Yoon, Tatsuya Kobayashi, Daniel J. Brooks, Mary L. Bouxsein, Yingshe Zhao, Cristal S. Yee, Tamara N. Alliston, Marc N. Wein

“…Remarkably, these defects in osteocyte function contrast to only mild changes in mature osteoblast function, suggesting that this Sp7 mutation selectively interferes with the function of Sp7 in osteocytes and mature osteoblasts, but not during early stages of osteoblast differentiation. …”
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Underlag till ramverk för en provbank i grundskolan by Anders Jönsson, Gunilla Svingby

“…That the item bank could indeed have this function is shown by the analysis of international experiences. …”
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Metaanalyzing Foucault’s Archaeology Theory by Masoud Zare Mehrjardy, Ali Yousofi, Saeideh Mirabi

“…In this paper, Foucault’s archeology was analyzed through a meta-theoretical approach based on a combined model. This model is a selection of Ritzer’s meta-theoretical logic (including four external-social, internal-social, external-intellectual, and internal-intellectual approaches) and Chalabi’s conceptual package (including four analytical elements of theory including theory-building equipment, theoretical claims range, theoretical functions, and Theoretical construction). …”
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AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptides by Saptashwa Datta, Jen-Chieh Yu, Yi-Hsiang Lin, Yun-Chen Cheng, Ching-Tai Chen

“…Abstract Aging is a natural phenomenon characterized by the loss of normal morphology and physiological functioning of the body, causing wrinkles on the skin, loss of hair, and compromised immune systems. …”
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Ranking economic and environmental performance of feedstocks used in bio-based production systems by Dania Muhieddine Orfali, Samir Meramo, Sumesh Sukumara

“…Nonetheless, this designed data source is the first step for reliable feedstock selection based on sustainability criteria.…”
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“Breaches” in the VKP(b) Okrug Organization in the Summer of 1929 – Summer of 1930 (Based on the Materials of Vyatka Okrug of Nizhny Novgorod Krai) by Yuri N. Timkin

“…The article examines the formation and functioning of the Vyatka Okrug VKP(b) organization in 1929–30, when radical transformations began in the country, primarily in the socio-economic sphere. …”
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“Locality – Adaptation” Research of Hydropower Resettlement Communities in the Jinsha River Basin: A Case Study of Ludila Hydropower Station by Fang WANG, Zhuoqi LI, Haoyi XU, Jiaqi YAN

“…At the settlement scale, the Mask Region-based Convolutional Neural Network (Mask R-CNN) deep learning model is utilized to identify architectural spatial features, categorizing three typical building types: traditional pitched-roof buildings, uniformly planned flat-roof buildings, and color steel plate-modified structures. Through multi-source data fusion (including remote sensing, demographic statistics, and compensation records) and field investigations, the research quantitatively analyzes the “locality – adaptation” reconstruction process of resettlement communities across the three spatial dimensions of living, production, and cultural spaces.Results1) Land cover evolution: Water storage of hydropower station inundates 37.12 km2 of land (including 21.61 km² of high-quality cultivated land), resulting in a loss of 43.68% of settlement production space. 2) Adjustment of architectural space: 65.8% of dwellings in the original villages are traditional timber-earth buildings with a tile roof, which adapt to the climate environment of concentrated rainfall and sufficient sunshine in the Jinsha River Basin. 48.7% of the resettlement sites adopt unified flat roof planning, and 51.3% realize functional optimization through self-construction or renovation, with the average renovation area reaching 230.9 m2. 3) Transformation of livelihood system: The annual compensation mechanism only restores 15.79% of the cultivated land allocation before resettlement, and the proportion of compensation income drops from 82.71% in the initial stage of relocation to 33.15% after long-term resettlement, driving the adjustment of crop structure to high value-added cash crops. 4) Cultural space reconstruction: In the context of the disappearance of traditional water transport functions, the three cultural relics reconstructed in different places show a symbolic turn. …”
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Secondary Frequency Control of Islanded Microgrid Based on Deep Reinforcement Learning by Li WANG, Yuxiang JIANG, Xiangjun ZENG, Bin ZHAO, Junhao LI

“…The reward function balances the goals of frequency recovery and power allocation among distributed energy resources , ensuring consistency in action selection among the intelligent agents. …”
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Heat treatment control technology of high-strength steel gears based on support vector machine by Yanzhong Wang, Libin Zhang, Yulu Su, Hai Liu, HaiLong Yang, Yanyan Chen

“…At the present stage, the method of multi-parameter multi-level combination test block trial production is often used, but its production cycle is long, and the waste of human and material resources is serious. In this study, with the help of machine learning, a support vector machine prediction model of gear tissue distribution is constructed based on heat treatment parameters, and the radial basis functions kernel function is selected as the kernel function of the support vector machine to improve the accuracy of model prediction by optimizing the kernel parameters. …”
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Environmental impact technology for life cycle assessment in municipal solid waste management by M.A. Budihardjo, I.B. Priyambada, A. Chegenizadeh, S. Al Qadar, A.S. Puspita

“…Municipal solid waste management has evolved from direct disposal to recycling and resource recovery, driven by sustainability. Life cycle assessment has played a crucial role in analyzing the environmental implications of different waste management strategies and selecting the most ecologically feasible options. …”
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Heterogeneously integrated light emitting diodes and photodetectors in the metal-insulator-metal waveguide platform by Kwon Kyungmok, Park Junghoon, You Jong-Bum, Yu Kyoungsik

“…We experimentally verify the independent and combined operations of electrically-driven on-chip light sources and photodetectors.…”
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Methodological quality of multivariate prognostic models for intracranial haemorrhages in intensive care units: a systematic review by Denis Frasca, Fanny Feuillet, Maxime Leger, Raphaël Cinotti, Yohann Foucher, Jeanne Simon-Pimmel, Laetitia Bodet-Contentin, Etienne Dantan

“…We aimed to methodologically assess prognostic tools for functional outcomes in severe spontaneous intracranial haemorrhages.Data sources Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses recommendations, we conducted a systematic review querying Medline, Embase, Web of Science, and the Cochrane in January 2020.Study selection We included development or validation of multivariate prognostic models for severe intracerebral or subarachnoid haemorrhage.Data extraction We evaluated the articles following the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies and Transparent Reporting of multivariable prediction model for Individual Prognosis Or Diagnosis statements to assess the tools’ methodological reporting.Results Of the 6149 references retrieved, we identified 85 articles eligible. …”
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Integrative analysis of efferocytosis- and invasion-related genes as potential biomarkers and therapeutic targets in breast cancer by Jing Yang, Rong Zhang, Lamei Sun, Cong Wang, Ming Feng, Bin Su, Lixin Jiang

“…Abstract Breast cancer remains a primary source of cancer-related mortality among females worldwide. …”
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Przyswajanie zawczasu niezbędnych umiejętności, czyli o funkcji socjalizacyjno-przygotowawczej dawnych zabawek dziecięcych by Dorota Żołądź-Strzelczyk, Katarzyna Kabacińska-Łuczak

“…Based on the interpretations resting on selected source materials, it can be concluded that the socialization function of the toy was, albeit indirectly, known to many philosophers and pedagogues. …”
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Current status of developments in the field of respiratory syncytial virus vaccines by Tatiana S. Kotomina

“…Data on clinical trials of vaccine candidates are presented, including target populations, clinical trial number and sources where the results of these trials were published.…”
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Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Elias Kosmatopoulos

“…One significant branch of modern control algorithms concerns reinforcement learning, a data-driven strategy capable of dynamically managing renewable energy sources and other energy subsystems under uncertainty and real-time constraints. …”
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Prediction of the pharmaceutical solubility in water and organic solvents via different soft computing models by A. Yousefi, k. movagharnejad

“…Molecular weight, melting point, temperature and the number of each functional group in the pharmaceutical compound and organic solvents were selected as the input variables of these three different neural network models. …”
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Advances in the Application of Anthocyanin-based Smart Packaging Films for Food Preservation by Ying SUN, Peizhao LI, Shen LIU, Xing GUO, Binglin LU, Lianzhou JIANG, Shuping LIU

“…First, the chemical properties of anthocyanins are discussed to explain the principle of color change, then the source differences of anthocyanin, extraction methods, and the selection of film forming matrix of anthocyanin intelligent packaging film are discussed, and the construction of anthocyanin intelligent packaging film is sorted out. …”
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PCI-DB: a novel primary tissue immunopeptidome database to guide next-generation peptide-based immunotherapy development by Sven Nahnsen, Hans-Georg Rammensee, Cécile Gouttefangeas, Jonas S Heitmann, Juliane S Walz, Jens Bauer, Marcel Wacker, Annika Nelde, Jonas Scheid, Steffen Lemke, Marissa L Dubbelaar, Patrick Zimmermann, Naomi Hoenisch Gravel, Susanne Jung, Anna Dengler, Yacine Maringer, Sven Fillinger, Tatjana Bilich

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Big data in visual field testing for glaucoma by Alex T. Pham, Annabelle A. Pan, Jithin Yohannan

“…In this study, we review the use of big data for evaluating the reliability of VF tests, gaining insights into real-world clinical practices and outcomes, understanding new disease associations and risk factors, characterizing the patterns of VF loss, defining the structure–function relationship of glaucoma, enhancing early diagnosis or earlier detection of progression, informing clinical decisions, and improving clinical trials. …”
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