Accumulation of pathogenic bacteria in agricultural soil irrigated with treated wastewater and their relationship with selected soil fertility variables by Patience Ntimbane, Pholosho Mmateko Kgopa, Lawrence Munjonji

“…The results revealed that using TWW for irrigation leads to a highly significant accumulation of the selected pathogens. But diluting TWW with TP reduced the accumulation of all the selected bacterial pathogens. …”
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Adaptations of the Genus <i>Bradyrhizobium</i> to Selected Elements, Heavy Metals and Pesticides Present in the Soil Environment by Joanna Banasiewicz, Aleksandra Gumowska, Agata Hołubek, Sławomir Orzechowski

“…Rhizobial bacteria perform a number of extremely important functions in the soil environment. In addition to fixing molecular nitrogen and transforming it into a form available to plants, they participate in the circulation of elements and the decomposition of complex compounds present in the soil, sometimes toxic to other organisms. …”
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Selective laser melting of titanium matrix composites: An in-depth analysis of materials, microstructures, defects, and mechanical properties by Jun Fang, Yong Chai Tan, Vin Cent Tai, Shamini Janasekaran, Chia Ching Kee, Dongsheng Wang, Youwen Yang

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Acoustics of Classrooms in Primary Schools – Results of the Reverberation Time and the Speech Transmission Index Assessments in Selected Buildings by Witold MIKULSKI, Jan RADOSZ

“…The reverberation time Twf can therefore be used for a more precise assessment of acoustic properties of interiors with regard to verbal communication than $T_{mf}$. In addition, the paper presents estimated analysis results of the influence of selected classroom equipment (carpets) on its acoustic properties.…”
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Hybrid Methods Random Forest and FOX-Inspired Optimization Algorithm for Selecting Features in Cervical Cancer Data by Afidatul Masbakhah, Umu Sa'adah, Mohamad Muslikh

“…One of the main challenges in early detection of cervical cancer is the large amount of irrelevant and redundant data, which can reduce the accuracy of predictions, making feature selection imperative. SI is able to combine new algorithms to improve performance in feature selection. …”
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A Novel Ensemble Feature Selection Technique for Cancer Classification Using Logarithmic Rank Aggregation Method by Hüseyin Öztoprak, Hüseyin Güney

“…The experimental results showed that LRA provides a comparable classification performance to mean rank aggregation (MRA) and outperforms MRA in terms of gene selection stability. In addition, hybrid techniques provided the same or better classification accuracy as MRA and significantly improved stability. …”
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The Influence of a Biopolymer Coating on Selected Surface Properties of Soilless Substrates Made from Coconut Fibre by Maciej Balawejder, Natalia Matłok, Małgorzata Szostek, Maciej Kuboń

“…This study presents methods for modifying coconut fibre through surface coating with biopolymers, where polymerisation was initiated in the applied solution. Additionally, the suitability of adding pelletised biochar was analysed. …”
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Impact of Mobile Phase Composition on Separation Selectivity of Labeled Dextran Ladder in Hydrophilic Interaction Liquid Chromatography by Matjaž Grčman, Niko R. Pompe, Drago Kočar, Matevž Pompe

“…It was assumed that the addition of methanol influences the folding pattern of dextrans around the permanent positive charge on the added tag, which influences the changes of separation selectivity. …”
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Computational analysis of ABL kinase mutations allows predicting drug sensitivity against selective kinase inhibitors by Swapna Kamasani, Sravani Akula, Sree Kanth Sivan, Vijjulatha Manga, Justus Duyster, Dashavantha Reddy Vudem, Rama Krishna Kancha

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A precise machine learning model: Detecting cervical cancer using feature selection and explainable AI by Rashiduzzaman Shakil, Sadia Islam, Bonna Akter

“…Furthermore, Chi-square and Least Absolute Shrinkage and Selection Operator are two distinct feature selection processes that have been applied to evaluate the feature rank, which are mostly correlated to identify the particular disease, and also integrate an explainable artificial intelligence technique, namely Shapley Additive Explanations, for clarifying the model outcome. …”
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Sweet pepper yield modeling via deep learning and selection of superior genotypes using GBLUP and MGIDI by Hamid Hatami Maleki, Reza Darvishzadeh, Nasrin Azad

“…The study concludes that a CNN model focusing on morphological traits with additive genetic control, combined with the MTSI index, can effectively enhance parental selection in sweet pepper.…”
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Evaluation of time availability of the selected rescue service of a large city. A case study of Warsaw by Sitek Katarzyna, Pokojski Wojciech, Gołębiowska Izabela

“…The research focuses on determining the level of service for residents in each district with the emergency service station. In addition, an attempt was made to improve accessibility on the example of three selected districts. …”
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Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection by Kuan-Yu Chen, Yen-Chun Huang, Chih-Kuang Liu, Shao-Jung Li, Mingchih Chen

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Mechanism of melt pool structure on corrosion behavior of selective laser melted 316L stainless steels by MAN Cheng, WANG Mengfei, LI Yong

“…The melt pool structure represents a critical feature in laser additive manufacturing and serves as a primary factor contributing to the disparities in microstructure and performance between the vertical (XOY) and horizontal (XOZ) processing directions of 316L stainless steels fabricated via selective laser melting (SLM). …”
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Effect of <i>Thuja occidentalis</i> L. Essential Oil Combined with Diatomite Against Selected Pests by Janina Gospodarek, Elżbieta Boligłowa, Krzysztof Gondek, Krzysztof Smoroń, Iwona B. Paśmionka

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Selective laser melting of 2507 duplex stainless steel: Effect of energy density on microstructure and corrosion resistance by Aofei Wang, Yan Yin, Chao Lu, Qian Zheng, Haofeng He, Liangjun Lin, Wenqing Shi, Ruihua Zhang, Di Tie

“…However, the research on duplex stainless steel prepared by additive manufacturing is still limited. In this paper, high-density 2507 DSS was successfully prepared by selective laser melting (SLM) additive manufacturing. …”
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Combinatorial Effects of Free and Nanoencapsulated Forms of Cabazitaxel and RAS-Selective Lethal 3 in Breast Cancer Cells by Remya Valsalakumari, Marek Feith, Solveig Pettersen, Andreas K. O. Åslund, Ýrr Mørch, Tore Skotland, Kirsten Sandvig, Gunhild Mari Mælandsmo, Tore-Geir Iversen

“…<b>Results</b>: The data presented reveal, for the first time, that CBZ and RSL3 exhibit synergistically or additively combinatorial effects on various breast cancer cell lines. …”
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Optimizing soybean variety selection for the Pan-African Trial network using factor analytic models and envirotyping by Maurício S. Araújo, João P. S. Pavan, André A. Stella, Bruno F. Fregonezi, Natally F. Lima, Erica P. Leles, Michelle F. Santos, Peter Goldsmith, Godfree Chigeza, Brian W. Diers, José B. Pinheiro

“…Soybean is a global food and industrial crop, however, climate change significantly affects its grain yield. Therefore, the selection of varieties with high adaptation to target population of environments is imperative in Sub-Saharan Africa. …”
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An enhanced TOPSIS-based framework for MCDM with uncertain weights: Application to e-waste recycling partner selection by Sandhya Priya Baral, Prashanta Kumar Parida, Diptirekha Sahoo

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Drought adaptation index (DAI) based on BLUP as a selection approach for drought-resilient switchgrass germplasm by Shiva Om Makaju, Shiva Om Makaju, Shiva Om Makaju, Hari Bahadur Chhetri, Chanaka Roshan Abeyratne, Mirko Pavicic, Hari Poudel, Jazib Ali Irfan, Jazib Ali Irfan, Anita Giabardo, Katrien M. Devos, Katrien M. Devos, Katrien M. Devos, Daniel Jacobson, Ali Mekki Missaoui, Ali Mekki Missaoui, Ali Mekki Missaoui

“…Overall, the BLUP-based DAI is a robust and practical selection tool that improves the accuracy of identifying drought-resilient, high-yielding switchgrass genotypes. …”
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