Green Solutions for Agriculture: Topical and Oral Effect of Botanical Extracts in the Sustainable Management of <i>Plutella xylostella</i> (Linnaeus, 1758) (Lepidoptera: Plutellida... by Isabella Maria Pompeu Monteiro Padial, Silvana Aparecida de Souza, Claudia Andrea Lima Cardoso, Juliana Rosa Carrijo Mauad, Anelise Samara Nazari Formagio, Rosilda Mara Mussury

“…These products have complex chemical compositions, with compounds acting synergistically through multiple mechanisms, including oral (ingestion of allelochemicals) and topical (contact of allelochemicals on epidermis) toxicity. …”
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Enhanced Short-Term PV Power Forecasting via a Hybrid Modified CEEMDAN-Jellyfish Search Optimized BiLSTM Model by Yanhui Liu, Jiulong Wang, Lingyun Song, Yicheng Liu, Liqun Shen

“…Subsequently, the fast Fourier transform and improved Pearson correlation coefficient (IPCC) were applied to identify and merge similar-frequency intrinsic mode functions, forming new composite components. Each reconstructed component was then forecasted individually using a BiLSTM model, whose parameters were optimized by the JS algorithm. …”
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Process and mechanism modeling of cefotaxime removal from hospital wastewater using pistachio shells based magnetic activated carbon nanoparticles by Atefeh Rahmani, Haripriya Naidu, Tomasz Świergosz, Hamid Reza Rahimi, Zahra Mousavi, Maryam Dolatabadi, Saeid Ahmadzadeh

“…In this study, response surface methodology with central composite design was employed to systematically investigate the effects of key process parameters, on the removal of cefotaxime (CTX) from hospital wastewater using pistachio sells based activated carbon modified with FeCl3. …”
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Experimental study and theoretical analysis on the flexural behaviors of UHPC-strengthened NC overlay in bridge deck by Haibo Jiang, Gongyong Mei, Ruyu Shen, Jie Xiao, Shaowei Deng, Shufeng Zhang

“…The following primary experimental parameters were employed, thickness of UHPC-strengthened layer, presence or absence of longitudinal rebars in the UHPC layer, and interfacial connecting method between NC and UHPC. …”
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Nanosized Anisotropic Sm–Fe–N Particles with Metastable TbCu7-Type Structures Prepared by an Induction Thermal Plasma Process by Yusuke Hirayama, Jian Wang, Masaya Shigeta, Shunsuke Tsurumi, Makoto Sugimoto, Zheng Liu, Kenta Takagi, Kimihiro Ozaki

“…Though this led to a relatively large compositional distribution of Sm within particles with a Sm concentration of 9–12 at%, the preparation of single-phase TbCu₇-type Sm–Fe–N particles could be facilitated by optimizing several parameters during the LO-ITP process.…”
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A novel catalyst based on zero-valent iron nanoparticles for assisting electro-fenton process applied to a toxic wastewater by Mohsen Mohammadi, Reza Davarnejad, Mika Sillanpää

“…A catalyst based on zero-valent iron nanoparticles (nZVI) supported by zeolite Y (zeolite Y-nZVI) was synthesized to improve the performance of the heterogeneous electro-Fenton-like process for treating a toxic pesticide wastewater with pH of 6. Central Composite Design (CCD) under Response Surface Methodology (RSM) was applied to design the experiments and find the optimal parameters including time, current intensity, hydrogen peroxide volume (or concentration) and the synthesized catalyst dosage. …”
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Plasma metabolomics signatures predict COVID-19 patient outcome at ICU admission comparable to clinical scores by Sigurður T. Karvelsson, Emmanuel Besnier, Arnar Ingi Vilhjálmsson, Camille Molkhou, Freyr Jóhannsson, Perrine Lepretre, Étienne Ljóni Poisson, Fabienne Tamion, Jérémy Bellien, Óttar Rolfsson, Adrián López García de Lomana, Thomas Duflot

“…First, we stratified patients based on a composite outcome score indicating critical status. …”
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Triangulating residential biomass burning impacts on PM2.5 via PMF, satellite observation-based emission inventory, and WRF-Chem by Xinpeng Ye, Jiaer Yang, Zhiwen Chen, Gang Liu, Jian Sun, Qian Jiang, Xin Huang, Yang Gao, Xinyi Niu, Hongmei Xu, Guohui Li, Zhenxing Shen

“…This study synergistically applied receptor modeling (PMF, Positive Matrix Factorization), emission inventory, and WRF-Chem (Weather Research and Forecasting model coupled with Chemistry) simulations to quantify biomass burning contributions in Siping City, Jilin Province, using year-round PM2.5 compositional data (July 2021–June 2022) and localized emission parameters. …”
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Selective laser sintering of distinct drug and polymer layers as a novel manufacturing strategy for individually dosed tablets by Jonas Autenrieth, Daniel Hedbom, Maria Strømme, Thomas Kipping, Jonas Lindh, Julian Quodbach

“…Unlike conventional methods requiring powder blending, this approach utilizes separate powder tanks for IND and PVA, enabling direct printing of alternating layers in a single-step procedure.We successfully fabricated tablets with controlled IND doses by varying the number of IND layers, maintaining consistent printing parameters across different compositions and confirming the API's chemical stability in the product. …”
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Upcycling Scented Pandan Leaf Waste into High-Value Cellulose Nanocrystals via Ultrasound-Assisted Extraction for Edible Film Reinforcement by Benjamard Rattanamato, Nattapong Kanha, Prem Thongchai, Kanyasiri Rakariyatham, Wannaporn Klangpetch, Sukhuntha Osiriphun, Thunnop Laokuldilok

“…This study aims to optimize the parameters for the ultrasound-assisted extraction of cellulose nanocrystals (CNCs) from scented pandan leaf waste and to enhance the properties of edible films reinforced with CNC. …”
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Nitrate δ¹⁵N and δ¹⁸O Values Reveal Mariculture Impacts on Nitrogen Cycling in Sansha Bay, SE China by Jianpeng Li, Xuan Lu, Qingmei Zhu, Yanpei Zhuang, Wei Yang, Di Qi

“…This study focused on Sansha Bay, an important aquaculture harbor in SE China, with measurements of environmental parameters and nitrate N–O isotopic compositions, to explore the impact of distinct mariculture types on nitrogen cycling in a coastal farming bay. …”
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A novel radiomics model combining GTVp, GTVnd, and clinical data for chemoradiotherapy response prediction in patients with advanced NSCLC by Ya Li, Ya Li, Ya Li, Ya Li, Min Zhang, Min Zhang, Min Zhang, Min Zhang, Yong Hu, Dan Zou, Bo Du, Youlong Mo, Tianchu He, Mingdan Zhao, Benlan Li, Benlan Li, Benlan Li, Benlan Li, Ji Xia, Ji Xia, Ji Xia, Ji Xia, Zhongjun Huang, Zhongjun Huang, Zhongjun Huang, Zhongjun Huang, Fangyang Lu, Bing Lu, Bing Lu, Bing Lu, Jie Peng, Jie Peng, Jie Peng, Jie Peng

“…Five models were developed and evaluated, incorporating GTVp, GTVnd, and clinical data.ResultsThe GTVp-based radiomics model achieved an area under the curve (AUC) of 0.855 in the training cohort and 0.775 in the validation cohort. The multimodal composite model (integrating GTVp, GTVnd, and clinical parameters) significantly outperformed the GTVp-only model, with a training AUC of 0.862 and validation AUC of 0.863, demonstrating superior predictive performance for concurrent chemoradiotherapy response in this patient population.…”
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The effect of NiAl content on the microstructure and properties of CoCrFeNi–NiAl–Nb pseudo-ternary triple-phase hypoeutectic high-entropy alloys by Zhongheng Diao, Zhenjun Gao, Jiankun Yang, Dongdong Xia, Huijun Kang, Guangwei Zhao, Bo Li, Dong Fang, Xicong Ye

“…With the exception of the NiAl-8 alloy, all other compositions exhibited FCC, B2, and Laves phases, characterized by topologically densely arranged lattice structures (TCP). …”
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Hydrogel in musculoskeletal diseases: Unraveling trends, research foci, and future trajectories via bibliometric insights (from 2000 to 2025) by Weibei Sheng, Siyang Cao, Haotian Qin, Peng Liu, Deli Wang, Jian Weng, Hui Zeng, Fei Yu

“…Recent advancements in smart hydrogels and multifunctional composites have further broadened their applications in drug delivery, tissue engineering, and regenerative medicine. …”
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Calculation Method of Shale Oil Fluid Component Content Based on Nuclear Magnetic Resonance T2 Distribution by LIU Jilong, XIE Ranhong, WEI Hongyuan, XU Chenyu, JIN Guowen, ZHENG Di, WANG Shaoxiang

“…Shale oil reservoirs, characterized by the complex occurrence state of fluid and complex mineral compositions, are difficult to accurately determine the fluid component content. …”
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Embedded aluminum sections and prestressed high-performance concretes for improving shear performance of RC beams by Galal Elsamak, Mohamed Ghalla, Jong Wan Hu, Abdullah Albogami, Mohamed Emara, Shiren Osman Ahmed

“…Through an experimental program, the paper evaluates the impact of several parameters on the shear performance of beams, including the type of concrete filling the aluminum boxes, the type and diameter of reinforcement, and the level of prestressing force. …”
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ANYONE CAN HEAR: RESEARCH POTENTIAL OF CLASSICAL RADIO FORMAT / У ВСЕХ НА СЛУХУ: АНАЛИТИЧЕСКИЙ ПОТЕНЦИАЛ РАДИО ФОРМАТА CLASSICAL by TSVETKOVSKAYA Tatiana A. / ЦВЕТКОВСКАЯ ТАТЬЯНА АНАТОЛЬЕВНА

“…The work of different broadcast’s filling is based on unified principles in accordance with certain set parameters, which helps to choose from basis and form in playlists the compositions of certain styles, genres, characters, duration, connecting them with the elements of sound design and the hosts’ commentaries. …”
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Long-term trends in aerosol properties derived from AERONET measurements by Z. Zhang, J. Li, H. Che, Y. Dong, O. Dubovik, T. Eck, T. Eck, P. Gupta, B. Holben, J. Kim, E. Lind, T. Saud, S. N. Tripathi, T. Ying

“…<p>Over the past 2 decades, remarkable changes in aerosol concentrations and compositions have been observed worldwide, especially over developing countries, potentially resulting in considerable changes in aerosol properties. …”
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Analytical Modeling of a Heat Source under Welding of a Steel Sleeve by the Centrifugal Method Using an Axisymmetric Electric Arc by S. P. Glushko

“…It was required for calculating the electric arc parameters considering the distribution of the effective thermal power in the hot spot according to an exponential dependence. …”
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Semantic Segmentation Method for High-Resolution Tomato Seedling Point Clouds Based on Sparse Convolution by Shizhao Li, Zhichao Yan, Boxiang Ma, Shaoru Guo, Hongxia Song

“…In order to reduce the number of parameters so as to further improve the inference speed, the SpConv module is designed to function through the residual concatenation of the skeleton convolution kernel and the regular convolution kernel. …”
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