Eco-innovative approaches for recycling non-polyester/cotton blended textiles by Chandra Manivannan Arun, Logeshwaran Panneerselvan, Gunasekhar Nachimuthu, Meredith Conaty, Thava Palanisami

“…In the sorting stage, integrating artificial intelligence (AI) and machine learning (ML) enhances efficiency and accuracy. Advanced methods, such as green chemistry, mechanical recycling, and enzymatic treatments, have proven effective for most blended textiles; however, fibers, such as polypropylene, still lack defined closed-loop recycling routes. …”
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Problems of Subject Raising Constructions among Yoruba ESL Learners by Razaq Akolawole Raheem

“…It is concluded that teachers of English should be aware of these areas of difficulties for effective teaching and learning processes. …”
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Ankrd1 as a potential biomarker for the transition from acute kidney injury to chronic kidney disease by Hailin Li, Lemei Hu, Changqing Zheng, Ying Kong, Ming Liang, Quhuan Li

“…Analysis of intercellular crosstalk, trajectory and machine learning algorithms revealed hub cell clusters and genes. …”
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AutoPVPrimer: A comprehensive AI-Enhanced pipeline for efficient plant virus primer design and assessment. by Abozar Ghorbani, Mahsa Rostami, Elham Ashrafi-Dehkordi, Pietro Hiram Guzzi

“…We present AutoPVPrimer, an innovative pipeline that integrates artificial intelligence (AI) and machine learning to accelerate the development of plant virus primers. …”
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THE IMPLEMENTATION OF SERIES PICTURE TOWARDS STUDENTS’ SPEAKING ABILITY AT THE SECOND SEMESTER OF THE TENTH CLASS AT MA. AL-HIKMAH BANDAR LAMPUNG IN 2010/2011 by Syafrizal ., Bambang Suwarno

“…From the previous studies, series picture has been demonstrated as practical teaching and learning media for students at all grade levels. This method has been identified by researchers as an excellent media for increasing vocabulary and improving writing competence. …”
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The Role of Morphological Information in Processing Pseudo-words in Italian L2 Learners: It’s a Matter of Experience by Simona Amenta, Francesca Foppolo, Linda Badan

“…The productive use of morphological information is considered one of the possible ways in which speakers of a language understand and learn unknown words. In the present study we investigate if, and how, also adult L2 learners exploit morphological information to process unknown words by analyzing the impact of language proficiency in the processing of novel derivations. …”
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Increased observation of predictable visual stimuli in children with potential autism spectrum disorder by Mikimasa Omori

“…These findings suggest that a gradual increase in attention to predictable movements may reflect difficulties in learning cause-and-effect relationships between movement trajectories and the anticipation of complete shapes. …”
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MLDFNet: A Multilabel Dual-Flow Network for Change Detection in Bitemporal Remote Sensing Images by Daniyaer Sidekejiang, Panpan Zheng, Liejun Wang

“…With the development of deep learning (DL) in recent years, numerous remote sensing image change detection (CD) networks have emerged. …”
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JOB DESIGN IN THE FUNCTION OF IMPROVING THE JOB PERFORMANCE OF THE EMPLOYEES IN BOSNIA AND HERZEGOVINIAN COMPANIES by Alma Kovačević, Adisa Delić

“…New ways are sought to build and preserve competitive advantages, thus recognising that knowledge and learning are the key factors of success in the new economy. …”
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Integrating psychological and mental health perspectives in disease management: improving patient well-being by Francesca Grosso

“…Looking forward, the adoption of a comprehensive, multidisciplinary approach to patient treatment and the incorporation of patient preferences into treatment decisions can enable continuous learning among healthcare professionals, ultimately contributing to a truly patient-centered healthcare system.…”
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Acute toxicological and behavioural effects of perfluorohexanoic acid (PFHxA) in the model nematode, Caenorhabditis elegans by Tanmoy Sana, Manjurul Islam Chowdhury, Panneerselvan Logeshwaran, Mallavarapu Megharaj

“…At 3.14 mg L−1, PFHxA further impaired chemotaxis learning and reduced body-bending frequency. The study also highlights the relationship between PFCA toxicity and chain length, with a toxicity gradient observed (PFOA >> PFHxA> PFBA). …”
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Unsupervised monocular depth estimation with omnidirectional camera for 3D reconstruction of grape berries in the wild. by Yasuto Tamura, Yuzuko Utsumi, Yuka Miwa, Masakazu Iwamura, Koichi Kise

“…To satisfy the practical constraints of this task, we extend a deep learning-based unsupervised monocular depth estimation method to an omnidirectional camera and propose using it. …”
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Ibadan In Ibadan: The University and The City by Toyin Falola

“…Lastly, how “us” being part of the stakeholders can engage in active roles in ensuring that this great citadel of learning continues to have remarkable impacts on its surroundings. …”
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Gaps in U.S. livestock data are a barrier to effective environmental and disease management by Rebecca Logsdon Muenich, Sanskriti Aryal, Amanda J Ashworth, Michelle L Bell, Melanie R Boudreau, Stephanie A Cunningham, K Colton Flynn, Kerry A Hamilton, Ting Liu, Michael L Mashtare, Natalie G Nelson, Barira Rashid, Arghajeet Saha, Danica Schaffer-Smith, Callie Showalter, Aureliane Tchamdja, Jada Thompson

“…We then feature some recent work to improve livestock data availability through remote-sensing and machine learning, ending with our takeaways to address these data needs for the future of environmental and public health management.…”
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Low-Rank Adaptation of Pre-Trained Large Vision Models for Improved Lung Nodule Malignancy Classification by Benjamin P. Veasey, Amir A. Amini

“…<italic>Goal:</italic> This paper investigates using Low-Rank Adaptation (LoRA) to adapt large vision models (LVMs) pretrained with self-supervised learning (SSL) for lung nodule malignancy classification. …”
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DER BEITRAG VON VERNETZTEN STUDIENINHALTEN ZU EINER GANZHEITLICHEN THEOLOGISCHEN AUSBILDUNG by B. Stengel

“… „Ganzheitliche theologische Ausbildung” (holistic theological education) means that, in addition to learning specialist knowledge, students are enabled to reflect and promote their own spirituality with the goal of being able to act on the basis of knowledge combined with a Christ-oriented life and ministry in the church. …”
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Toll-like receptors in atopic dermatitis: pathogenesis and therapeutic implications by Ahmad Vafaeian, Fateme Rajabi, Nima Rezaei

“…Future directions include CRISPR-based gene editing to understand TLR functions, development of specific TLR modulators for targeted therapy, and machine learning applications to predict drug responses and identify novel ligands. …”
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Test information and it using by Beatričė Andziulienė, Arūnas Andziulis, Sonata Bakanauskaitė

“…It enables to create the modern potted systems of paperless learning control. …”
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A 20 m spatial resolution peatland extent map of Alaska by Mark J. Lara, Roger Michaelides, Duncan Anderson, Wenqu Chen, Emma C. Hall, Caroline Ludden, Aiden I. G. Schore, Umakant Mishra, Sarah N. Scott

“…Ground-data were used to train machine learning classifiers to detect peatlands using a fusion of Sentinel-1 (Dual-polarized Synthetic Aperture Radar), Sentinel-2 (Multi-Spectral Imager), and derivatives from the Arctic Digital Elevation Model (ArcticDEM), that were spatially constrained by a peatland suitability model. …”
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Convolutional Neural Networks for Direction of Arrival Estimation Compared to Classical Estimators and Bounds by Christopher J. Bell, Kaushallya Adhikari, Andrew Brown

“…Recently, there has been a proliferation of applied machine learning (ML) research, including the use of convolutional neural networks (CNNs) for direction of arrival (DoA) estimation. …”
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