Life cycle assessment based optimization of scenarios of reusable glass bottles using context-specific key parameters by Samuel Le Féon, Geneviève Gésan-Guiziou, Gwenola Yannou-Le Bris, Joël Aubin, Caroline Pénicaud

“…Different configurations are likely to be influenced by other key parameters, and require specific mitigation strategies. …”
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Mouse periodontitis models using whole Porphyromonas gingivalis bacteria induction by Ninuk Hariyani, Anisa Nur Halimah, Mohammed Al-Junaid, Oki Fadhila, Theresia Indah Budhy

“…Conclusion: The most frequently used vehicle to induce a mouse periodontitis model is the combination of P. gingivalis with ligature. Future research on different types of vehicles and bacteria for inducing more effective and more time-efficient periodontitis models is needed to guide future researchers on this topic.…”
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3D-printed microneedles for sensing applications: Emerging topics and future trends by Kelcilene B.R. Teodoro, Tamires S. Pereira, Ana Laura M.M. Alves, Francisco V. dos Santos, Fabrício A. dos Santos, Daniel S. Correa

“…Recent trends favor MNs made from polymers and nanomaterials over traditional metals, addressing challenges related to cost, biocompatibility, and scalability. …”
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Nurse interventions in clinical management that promote quality of care: scoping review by Carla Silva, Vera Magalhães, Vanessa Santos, Susana Miguel, Patrícia Pontífice-Sousa, Rita Marques

“… Introduction: Nurse interventions in clinical management can take different forms, and there is a connection between management and care provision. …”
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SNR Enhancement in Phase-Sensitive OTDR with Adaptive 2-D Bilateral Filtering Algorithm by Haijun He, Liyang Shao, Hengchao Li, Wei Pan, Bin Luo, Xihua Zou, Lianshan Yan

“…Furthermore, an adaptive parameter setting method is developed according to the relation between the optimal gray level standard deviation and noise standard deviation, which is much faster and more robust for different types of signals. …”
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Beyond single company climate risk disclosure: event-based physical risk reporting by Victor Wattin Håkansson, Simona Meiler, Sarah Hülsen, Leonie Villiger, Mathilde Bossut, Jamie W McCaughey, Chahan M Kropf, David N Bresch

“…An increasing number of countries and stakeholders now require large companies to disclose physical climate-related risks. However, the lack of standardization has led to the use of varied risk metrics from different data sources, making it difficult to compare physical risks across companies and preventing investors from aggregating risks at the portfolio level. …”
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Engineering in vitro vascular microsystems by Qiao Liu, Guoliang Ying, Chenyan Hu, Lingyu Du, Huaiyi Zhang, Zhenye Wang, Hongyan Yue, Ali K. Yetisen, Guixue Wang, Yang Shen, Nan Jiang

“…Abstract Blood vessels are hierarchical microchannels that transport nutrients and oxygen to different tissues and organs, while also eliminating metabolic waste from the body. …”
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Evaluation of large‐scale cycling environment by using the trajectory data of dockless shared bicycles: A data‐driven approach by Ying Ni, Shihan Wang, Jiaqi Chen, Bufan Feng, Rongjie Yu, Yilin Cai

“…This study proposes a data‐driven framework using dockless shared bicycle data to efficiently evaluate large‐scale cycling environments. …”
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Optimum Combination of Spectral Variables for Crop Mapping in Heterogeneous Landscapes based on Sentinel-2 Time Series and Machine Learning by J. G. de Oliveira Júnior, J. C. D. M. Esquerdo, J. C. D. M. Esquerdo, R. A. C. Lamparelli, R. A. C. Lamparelli

“…The proposed methodology explores the best possible combination of spectral variables related to vegetation (16 vegetation indices in the RGB, NIR, SWIR, and Red Edge regions) to characterize different spectro-temporal profiles of Land Use and Land Cover (LULC) in spatially heterogeneous landscapes. …”
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Enhanced Gold Ore Classification: A Comparative Analysis of Machine Learning Techniques with Textural and Chemical Data by Fabrizzio Rodrigues Costa, Cleyton de Carvalho Carneiro, Carina Ulsen

“…Four groups of variables were selected with different variable configurations. The application of classification algorithms to different groups of variables aimed to observe the variables of importance and the impact of each one on the classification, in addition to testing the best algorithm in terms of accuracy and precision. …”
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Analysis of Polyphenolic Composition, Antioxidant Power and Stress-Response Effects of Fractionated <i>Perilla</i> Leaf Extract on Cells In Vitro by Frederick Lia, Byron Baron

“…<b>Conclusions</b>: This study has shown that Perilla extract contains a diversity of polyphenolic compounds contributing to its potent antioxidant effects, with methanol and butanol being the most efficient extraction solvents. While rosmarinic acid is expected to be the major contributor towards providing protection against inflammation and redox stress, further work is required on the synergystic effects between different polyphenols.…”
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Prediction model of volume average diameter and analysis of atomization characteristics in electrostatic atomization minimum quantity lubrication by Dongzhou Jia, Changhe Li, Jiahao Liu, Yanbin Zhang, Min Yang, Teng Gao, Zafar Said, Shubham Sharma

“…Abstract Minimum quantity lubrication (MQL) is a relatively efficient and clean alternative to flooding workpiece machining. …”
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Application of Multi Objective land Allocation technique for land use Planning Approach Case study: Hamadan County by hassan mahmodzadeh, sodabeh panahi, mahdi herischian

“…Monitoring lands means contribution of an optimized space for land utilization with realization of common upcoming and related to each other in the past, now and in the future.Therefore, the objective  of  this research is to select the suitable lands  with monitoring lands of view in the city of Hamedan using a Multi-Objective Land Allocation method.The aim of Multi-Objective Land Allocation  method use is to contribute  selection of proper lands with monitoring approach based on ideal levels concept which have been executed by 3 different ecologic, socio-economic and strategic aspects existing in the territory.The examined use include agricultural use (water system or dry farming), pasturing use and urban use which based on the highest weight of independent variables, the area has been allocated to mentioned use with land monitoring approach.In what follows, the land suitability map is obtained through MCE operation for each type of land use and the obtained land suitability areas were calculated using these maps for which the results are as follows: irrigated agriculture with 601.176 hectares, dryland farming with 961.193 hectares, urban suitability with 762.984, and rangeland management suitability with 960.552 hectares which is an important criterion for determining the area for implementing MOLA.In the next step, it was time for implementing MOLA module for resolving the contradictions among the  uses.The results of MOLA showed that in average for the three studied aspects, the maximum area was associated with dryland farming with 364.4 hectares which is equivalent to 32% of the studied uses and the maximum weight of 0.4 was associated with irrigated agriculture.These resulted were obtained based on five factors (i.e. the current area of each land use, the favorable area for each land use based on MCE method, the occupational dependencies of different individuals to each land uses, prioritizing the ecological, economic, and social aspects of each land use).Finally, the results showed that selecting the suitable lands with spatial planning point of view using a Multi-Objective Land Allocation method is carried out properly through economic, social, and ecological aspects.…”
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Parity and longevity of Aedes aegypti according to temperatures in controlled conditions and consequences on dengue transmission risks. by Daniella Goindin, Christelle Delannay, Cédric Ramdini, Joël Gustave, Florence Fouque

“…Some females were dissected at different physiological stages to observe the ovaries development. …”
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Comparative study on bivariate statistical characteristics of drought in Shandong using SPI and SPEI by Jian Liu, Jun Xia, Mingsen Wang

“…The results showed that both SPI and SPEI can efficiently describe drought in the study area and drought events identified by these two indices were quite similar. …”
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Efficacy and safety of 4% articaine with epinephrine for the anterior middle superior alveolar nerve block comparing to the computer-controlled and conventional anesthetic delivery... by Ćetković Dejan, Milić Marija S., Biočanin Vladimir, Brajić Ivana, Ćalasan Dejan, Radović Katarina, Živković Rade, Brković Božidar

“…Bacground/Aim. The efficient dental anesthesia, which is related to the clinically adequate depth, duration and the width of anesthetic field, is an important prerequisite for successful dental treatment. …”
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Análisis del Pinfuvote como nuevo deporte alternativo para el área de Educación Física (Analysis of the Pinfuvote as a new alternative sport for the field of Physical Education)... by Víctor Hernández-Beltrán, José M. Barranca-Martínez, Luisa Gámez-Calvo, Victor A. González-Coto, Maria Aguilar-Berrocal, Mario C. Espada, José M. Gamonales

“…In addition, the selected manuscripts were classified based on different variables: General variables, Specific variables of the document, Variables related to the subject of studies, and Variable related to the quality of the documents. …”
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Effects of four physiologically active substances on the control of gray mold and fruit quality of blueberries by QIE Mengyu, WEI Jiali, ZHANG Suilin, HU Qipeng, XU Haigen, HOU Zhixia

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Structure- and machine learning-guided engineering demonstrate that a non-canonical disulfide in an anti-PD-1 rabbit antibody does not impede antibody developability by Wei-Ching Liang, Hongkang Xi, Dawei Sun, Luigi D’Ascenzo, Jonathan Zarzar, Nicole Stephens, Ryan Cook, Yinyin Li, Zhengmao Ye, Marissa Matsumoto, Jian Payandeh, Matthieu Masureel, Yan Wu

“…Next, and prompted by recent developments in machine learning (ML)-guided protein engineering, we used an unbiased ML- and structure-guided approach to rapidly and efficiently generate a different variant with recovered affinity. …”
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Modification and Application of Natural Clinoptilolite and Mordenite from Almaty Region for Drinking Water Purification by Mudasir Zahid, Yerlan Doszhanov, Karina Saurykova, Noorahmad Ahmadi, Didar Bolatova, Meruyert Kurmanbayeva, Akbope Aydarbek, Rahmuddin Ihsas, Makpal Seitzhanova, Dana Akhmetzhanova, Almagul Kerimkulova, Ospan Doszhanov

“…The clinoptilolite post-modification removal efficiencies reached 94%, 86%, and 84%, respectively, while mordenite zeolites achieved 95%, 90%, and 87% removal efficiencies, respectively. …”
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