An innovative approach to post-occupancy evaluation of architectural heritages in the Peking-Mukden railway by Fuying Liu, Zuliang Lu, Wei Qiang

“…When it no longer serves its original function, finding a new way for reuse becomes a trend. …”
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The New Industrial Revolution: Finding life for the buildings left behind by Dawn Bilobran

“…Efforts to achieve global goals of carbon-neutrality paired with advancements in infrastructure, utility distribution and alternative energies now forces the reconsideration of many unique historic resources. …”
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Unveiling Theranostics: Nanocomplex-Assisted Photodynamic Eradication of Aggressive Cancer Cells and Modulation of Tumor-Associated Macrophages by Butkute A, Kazlauske E, Mlynska A, Peciukaityte E, Karabanovas V, Rotomskis R, Steponkiene S

“…Austeja Butkute,1,2,* Evelina Kazlauske,3,4,* Agata Mlynska,1,4 Emile Peciukaityte,3 Vitalijus Karabanovas,3,4 Ricardas Rotomskis,3,5 Simona Steponkiene3 1Laboratory of Immunology, National Cancer Institute, Vilnius, Lithuania; 2Life Science Center, Vilnius University, Vilnius, Lithuania; 3Biomedical Physics Laboratory of National Cancer Institute, Vilnius, Lithuania; 4Department of Chemistry and Bioengineering, Vilnius Gediminas Technical University, Vilnius, Lithuania; 5Biophotonics Group of Laser Research Center, Vilnius University, Vilnius, Lithuania*These authors contributed equally to this workCorrespondence: Simona Steponkiene, Biomedical Physics Laboratory of National Cancer Institute Vilnius, Vilnius, Lithuania, Email simona.steponkiene@nvi.ltBackground: Photodynamic therapy (PDT) is a promising tool that utilizes photosensitizers (PS) for two functions: cancer imaging by fluorescence (diagnostics), and treatment by the generation of reactive oxygen species (therapy). …”
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Monitoring of Sedimentation on Geosynthetic Bags Installation Area in Banyuurip Mangrove Center, Ujung Pangkah, Gresik, Indonesia by Aida Sartimbul, Safitri Widya Ningtias, Citra Satrya Utama Dewi, Muhammad Arif Arif Rahman, Defri Yona, Syarifah Hikmah Julinda Sari, Nurin Hidayati

“…The reduction of mangrove area that led the decreased of mangrove’s function can affect the livelihood of the local community, including fishermen. …”
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Automated Artery Detection and Stenosis Classification in CTA Using Deep Learning for Peripheral Arterial Disease by Ali M. O. A. Anwer, Hacer Karacan, Muhammed Rabee, Levent Enver, Gonca Cabuk

“…Peripheral Arterial Disease (PAD) is one of the most important cardiovascular diseases worldwide for several million humans, associated with substantial morbidity, mortality, and healthcare resource utilization. Computed Tomography Angiography (CTA) is a high-quality imaging modality in PAD diagnostics, which directly highlights the vasculature having high resolution. …”
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Research and Application of A Comprehensive Monitoring Platform for Coal Conveyor Gallery Based on Multi-Dimensional Information Fusion by CUI Xiaohui, MA Xiaodong, LIU Mingsheng, CHEN Xiaodong, ZHANG Hanqing

“…It encompasses functions such as accessing multi-source heterogeneous data, load balancing, intelligent analysis, and decision fusion based on multiple data models. …”
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Submillimeter and Mid-infrared Variability of Young Stellar Objects in the M17 H II Region by Zhiwei Chen, Doug Johnstone, Carlos Contreras Peña, Jeong-Eun Lee, Sheng-Yuan Liu, Gregory Herczeg, Steve Mairs, Geumsook Park, Kee-Tae Kim, Mi-Ryang Kim, Keping Qiu, Yao-Te Wang, Xu Zhang, Megan Reiter, The JCMT Transient Team

“…This mid-IR fractional variability as a function of evolutionary stage result is similar to what has previously been found for YSO variability within the Gould Belt and the intermediate-mass star formation region M17 SWex, though overall less variability is detected in M17 in submillimeter and mid-IR. …”
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Integrated analysis of transcriptome and proteome provides novel insights into the response mechanisms of maca (Lepidium meyenii Walp.) to UV-B radiation by Zaihang Yu, Xueting Zhong, Li Xiao, Yuxi Cai, Ke Shen, Yu Luo, Xinxin Li, Hong Xu, Zihan Chen, Xiaomei Wang, Yi Wu, Yajun Wang, Wei Fan, Zhanqi Wang

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EasyMetagenome: A user‐friendly and flexible pipeline for shotgun metagenomic analysis in microbiome research by Defeng Bai, Tong Chen, Jiani Xun, Chuang Ma, Hao Luo, Haifei Yang, Chen Cao, Xiaofeng Cao, Jianzhou Cui, Yuan‐Ping Deng, Zhaochao Deng, Wenxin Dong, Wenxue Dong, Juan Du, Qunkai Fang, Wei Fang, Yue Fang, Fangtian Fu, Min Fu, Yi‐Tian Fu, He Gao, Jingping Ge, Qinglong Gong, Lunda Gu, Peng Guo, Yuhao Guo, Tang Hai, Hao Liu, Jieqiang He, Zi‐Yang He, Huiyu Hou, Can Huang, Shuai Ji, ChangHai Jiang, Gui‐Lai Jiang, Lingjuan Jiang, Ling N. Jin, Yuhe Kan, Da Kang, Jin Kou, Ka‐Lung Lam, Changchao Li, Chong Li, Fuyi Li, Liwei Li, Miao Li, Xin Li, Ye Li, Zheng‐Tao Li, Jing Liang, Yongxin Lin, Changzhen Liu, Danni Liu, Fengqin Liu, Jia Liu, Tianrui Liu, Tingting Liu, Xinyuan Liu, Yaqun Liu, Bangyan Liu, Minghao Liu, Wenbo Lou, Yaning Luan, Yuanyuan Luo, Hujie Lv, Tengfei Ma, Zongjiong Mai, Jiayuan Mo, Dongze Niu, Zhuo Pan, Heyuan Qi, Zhanyao Shi, Chunjiao Song, Fuxiang Sun, Yan Sun, Sihui Tian, Xiulin Wan, Guoliang Wang, Hongyang Wang, Hongyu Wang, Huanhuan Wang, Jing Wang, Jun Wang, Kang Wang, Leli Wang, Shao‐kun Wang, Xinlong Wang, Yao Wang, Zufei Xiao, Huichun Xing, Yifan Xu, Shu‐yan Yan, Li Yang, Song Yang, Yuanming Yang, Xiaofang Yao, Salsabeel Yousuf, Hao Yu, Yu Lei, Zhengrong Yuan, Meiyin Zeng, Chunfang Zhang, Chunge Zhang, Huimin Zhang, Jing Zhang, Na Zhang, Tianyuan Zhang, Yi‐Bo Zhang, Yupeng Zhang, Zheng Zhang, Mingda Zhou, Yuanping Zhou, Chengshuai Zhu, Lin Zhu, Yue Zhu, Zhihao Zhu, Hongqin Zou, Anna Zuo, Wenxuan Dong, Tao Wen, Shifu Chen, Guoliang Li, Yunyun Gao, Yong‐Xin Liu

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Whole-genome sequencing and genomic analysis of four Akkermansia strains newly isolated from human feces by Wenjing Lu, Biqing Zha, Jie Lyu, Chenxi LingHu, Jing Chen, Sisi Deng, Xiangling Zhang, Liang Li, Guoqing Wang

“…These bacteria colonize the mucus layer of the gastrointestinal tract and utilize mucin as their sole source of carbon and nitrogen. …”
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Forage Crop Research in the Modern Age by Qikun Liu, Gai Huang, Zhiqiang Zhang, Zhelong Lin, Xian Deng, Xueming Dong, Zhipeng Liu, Zan Wang, Yingjun Zhang, Hai‐chun Jing, Kang Chong, Xiaofeng Cao

“…This review provides a comprehensive examination of modern forage breeding, covering the primary types of forage, their characteristics, key functional genes utilized for enhancing forage traits, advanced breeding technologies, and the challenges and future directions in this field. …”
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Research Progress on Extraction of Cinnamon Essential Oil and the Mechanisms of Biological Activities by Yuhua HUANG, Mengmeng ZHANG, Xuan XIN, Weidong BAI, Wei WANG, Wenbin REN, Wenhong ZHAO, Shanghua YANG

“…This article aims to further promote the improvement and application of cinnamon essential oil extraction methods, deepen the understanding of the functional activities of cinnamon essential oil, and provide a reference for the rational development and utilization of cinnamon essential oil resources.…”
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The GhCEWT1-GhCEWT2-GhCes4D/GhCOBL4D module orchestrates plant cell elongation and cell wall thickness by Liping Zhu, Jiaojie Zhu, Xin Zhou, Yarou Lin, Liyong Hou, Hongbin Li, Guanghui Xiao

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Reactualizing Classical Islamic Power: Reinterpreting Al-Mawardi in Post-Reform Indonesian Democracy by Jafar Ahmad

“…However, there are also epistemic tensions between the two, particularly concerning the source of sovereignty (God vs. the people) and the legal basis (Sharia vs. positive law). …”
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Ameliorating potential of Auricularia auricula-judae polysaccharides in mitigating hypercaloric diet-induced behavioral disorders through gut microbiota regulation by Yujie Fei, Jingwen Zhang, Sijia Yuan, Ye Liu, Xiaoru Wang, Xiaoru Wang, Meng Wang, Meng Wang, Haoan Zhao, Qian Liu, Qian Liu, Qian Liu

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Effects of Biogas Slurry on Microbial Phosphorus Metabolism in Soil of <i>Camellia oleifera</i> Plantations by Quanxun Chen, Jianbo Cheng, Guangliang Tian, Tengbin He, Hu Wang, Tao Zhang, Jianming Hong, Liangyu Dai, Tianling Fu

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Nixtamalization and Extrusion Processes: Effects on Physicochemical, Nutritional, and Nutraceutical Properties in the Processing of Corn Into Tortilla by Ana Luisa Félix-Sámano, Jennifer Vianey Félix-Medina, María Fernanda Quintero-Soto, Ismael Diaz-Peña, Roberto Gutiérrez-Dorado

“…Tortillas are a significant component of the Mexican diet, serving as a major source of protein and energy. The average consumption of nixtamalized corn tortillas in Mexico is around 80 kg per capita per year. …”
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Optimizing brain tumor detection in MRI scans through InceptionResNetV2 and deep stacked Autoencoders with SwiGLU activation and sparsity regularization by Vishal Awasthi, Mamta Tiwari, Amit Yadav, Gesu Thakur, Mamata Mayee Panda, Hemant Kumar, Shivneet Tripathi

“…Despite its success, limitations include the model's dependency on pre-trained weights and significant computational resources. Future studies should address these limitations by enhancing interpretability, exploring domain-specific transfer learning, and validating on diverse datasets to strengthen the model's utility in real-world settings. …”
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Territorialidade e sociobiodiversidade na configuração do espaço produtivo da Comunidade Olho d’Água dos Negros no município de Esperantina-PI / Territoriality and sociobiodiversit... by Elisângela Guimarães Moura Fé, Jaíra Maria Alcobaça Gomes

“…The pound, assorted backyard area, is the kind of use that grows in the community, in which the “buritizal” (buriti cultivation), fulfils the ecological function of preserving olho d’ água and its path. However, in the extraction, this fruit is underused, utilized just in natura.…”
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Generative learning of continuous data by tensor networks by Alex Meiburg, Jing Chen, Jacob Miller, Raphaëlle Tihon, Guillaume Rabusseau, Alejandro Perdomo-Ortiz

“…We develop our method in the setting of matrix product states, first deriving a universal expressivity theorem proving the ability of this model family to approximate any reasonably smooth probability density function with arbitrary precision. We then benchmark the performance of this model on several synthetic and real-world datasets, finding that the model learns and generalizes well on distributions of continuous and discrete variables. …”
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