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  1. 1781

    Editorial by Daniel Halliday

    Published 2020-12-01
    “…The second article in this issue, from Johannes Stößel, Julian Schneidereit and Sonja Stockburger, focuses on intergenerational capital transfers in Germany. Central to the focus in this article is the constitutional provision in Germany for the protection of family-owned businesses. …”
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  2. 1782
  3. 1783
  4. 1784
  5. 1785

    Maternal exposure to deltamethrin during pregnancy and lactation impairs hippocampal learning and memory function of male offspring by ferroptosis by Shasha Huang, Wanqi Li, Dengke Wang, Huiwen Feng, Bo Wang, Xinyu Dong, Wei Zhao, Dan Liu, Yuan Wang

    Published 2025-01-01
    “…It can exert direct action on the central nervous system to produce neurotoxicity. Exposure to DM can lead to iron metabolism disorder, oxidative stress and learning and memory dysfunction. …”
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  6. 1786
  7. 1787

    Research trends and hotspots in post-stroke speech rehabilitation: A bibliometric analysis by Nan Huang, Kang Zou, Fang Liu, Zhen Su, Long Chen, Yanbiao Zhong, Yun Luo, Maoyuan Wang, Li Xiao

    Published 2025-04-01
    “…Key trends included “communication disorders,” “functional connectivity,” and “melodic intonation therapy,” with “stroke” and “aphasia” emerging as central keywords. Conclusion: Research in post-stroke speech rehabilitation is increasing, with significant contributions from the United States and key institutions. …”
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  8. 1788

    Mesenchymal stem cells from perinatal tissues promote diabetic wound healing via PI3K/AKT activation by Jiawei Huang, Qingwen Deng, Lai Ling Tsang, Guozhu Chang, Jinghui Guo, Ye Chun Ruan, Chi Chiu Wang, Gang Li, Hon Fai Chan, Xiaohu Zhang, Xiaohua Jiang

    Published 2025-02-01
    “…Mass spectrometry revealed a conserved set of proteins including THBS1 (thrombospondin 1), SERPINE1 (serpin family E member 1), ANXA1 (annexin A1), LOX (lysyl oxidase), and ITGB1 (integrin beta-1) which are involved in extracellular matrix (ECM) organization and wound healing, with the PI3K/AKT signaling pathway playing a central role. The PEGDA/SA/Col-I hydrogel demonstrated a unique balance of mechanical and biological properties and an optimal environment for MSC viability and function. …”
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  9. 1789
  10. 1790

    Editorial by Jörg Tremmel, Marisa dos Reis, Joseph Burke, Raphaelle Schwarzberg (†)

    Published 2016-02-01
    “…As such, this description of how this body came to be and an establishment of its workings is of much value. The central involvement of the civil society organisation, Protect the Future, is revealed and specific examples of the Commissioner’s success in exercising his competencies are presented. …”
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  11. 1791

    Analisis Dampak Kabut Asap dari Kebakaran Hutan dan Lahan dengan Pendekatan Text Mining by Zuliar Efendi, Imas Sukaesih Sitanggang, Lailan Syaufina

    Published 2023-10-01
    “…Data yang digunakan adalah data tweet terkait kabut asap di Provinsi Riau pada jarak 11 – 17 September 2019 dan juga data hotspot atau titik panas serta citra Sentinel2. Data tweet dikelompokkan dengan beberapa percobaan pada jarak antar cluster yaitu single linkage, complete linkage, average linkage, dan ward. …”
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  12. 1792

    Influence of ethnicity on cyclin-dependent kinase inhibitor efficacy and toxicity: A systematic review and meta-analysis by Roberto Buonaiuto, Aldo Caltavituro, Margherita Tafuro, Alessandra Longobardi, Giuliana Pavone, Pierluigi De Santis, Roberta Caputo, Carmine De Angelis, Lucia Del Mastro, Fabio Puglisi, Mario Giuliano, Grazia Arpino, Martina Pagliuca, Michelino De Laurentiis

    Published 2025-02-01
    “…Methods: We conducted a meta-analysis including the most recent randomized trial data systematically searched from PubMed, Embase, Web of Science, Cochrane CENTRAL (from inception to May 31st, 2024) or presented in abstracts or oral presentations at the ESMO, ASCO, and SABCS international congresses. …”
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  13. 1793
  14. 1794

    ASKAP Observations of the Radio Shell in the Composite Supernova Remnant G310.6-1.6 by Wenhui Jing, Jennifer L. West, Xiaohui Sun, Wasim Raja, Xianghua Li, Lingxiao Dang, Ping Zhou, Miroslav D. Filipović, Andrew M. Hopkins, Roland Kothes, Sanja Lazarević, Denis Leahy, Emil Lenc, Yik Ki Ma, Cameron L. Van Eck

    Published 2025-01-01
    “…We detect polarized emission from the central pulsar wind nebula (PWN) with rotation measures varying from –696 rad m ^−2 to –601 rad m ^−2 . …”
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  15. 1795

    Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

    Published 2025-01-01
    “…Finally, geographically weighted regression (GWR) models are used to explore the effect of LCZ landscape patterns on spatial heterogeneity of high temperature disaster risk.ResultsThe characteristics of high temperature disaster risk in each district do not differ much, and the overall spatial presentation of the development center of each district gradually decreases from high to low, with high-risk areas mainly located in the south-central part of Caidian District, the west and north of Jiangxia District, the dense industrial parks in the south of Dongxihu District, the Wuhan Iron and Steel Factory in Qingshan District, and the Tianhe Airport in Huangpi District, and the low-risk areas are mainly in the watershed part. …”
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  16. 1796
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  18. 1798

    The sport and Lithuanian national identity by Ingvaras Butautas, Rasa Čepaitienė

    Published 2006-06-01
    “…The "sport-loving nation" stereotype was shaped by mass media because even sports contest visiting rates, generally mouthy and inflated in official protocols, prove the slight popularity of sport in Lithuania in comparison with other East-Central European countries. …”
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  19. 1799
  20. 1800

    Deteksi Dan Klasifikasi Hama Potato Beetle Pada Tanaman Kentang Menggunakan YOLOV8 by Daniel Geoffrey Manurung, Mohammad Ryan Pinasthika, Muhammad Azka Obila Vasya, Rania Aprilia Dwi Setya Putri, Agustinus Parasian Tampubolon, Rakan Fadhil Prayata, Septia Khoirin Nisa, Novanto Yudistira

    Published 2024-08-01
    “…Metode yang digunakan untuk mendeteksi dan mengklasifikasikan potato beetle adalah Convolutional Neural Network (CNN) yang merupakan algoritma jaringan syaraf tiruan yang efektif dalam pengolahan citra. Model YOLOv8 (You Only Look Once) diimplementasikan untuk mendeteksi objek pada gambar dengan mengidentifikasi posisi dan kelas dari potato beetle. …”
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