Diffusion Maps Clustering for Magnetic Resonance Q-Ball Imaging Segmentation by Demian Wassermann, Maxime Descoteaux, Rachid Deriche

“…In particular, our ODF diffusion maps requires a smaller number of hypothesis from the input data, reduces the number of artifacts in the segmentation, and automatically exhibits the number of clusters segmenting the Q-Ball image by using an adaptive scale-space parameter. We also show that our ODF diffusion maps clustering can reproduce published results using the diffusion tensor (DT) clustering with N-Cuts on simple synthetic images without crossings. …”
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Trabajo asociado y tecnología: reflexiones a partir del contexto y de la experiencia de las Incubadoras Tecnológicas de Cooperativas Populares en Brasil by Pedro Claudio Cunca Bocayuva

“…Razones por lo que las ITPC se convierten en modos de producción de conocimientos y de modos de fabricación, transmisión y aplicación de procesos, productos y herramientas, críticos respecto a los producidos por el sistema capitalista.This text describes the articulation that took place between socio-productive popular organisations, and the construction and adaptation of knowledge and technology. It draws upon the learning experience of the National Programme of Technology Incubators of Popular Cooperatives (ITCP) of the National Secretariat of Solidary Economy of the Ministry of Labour and Employment in Brazil (SENAES-MTE). …”
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A Novel Numerical Treatment to One Dimensional Heat and Wave Equations with Second Order Accuracy by Muhammad Abid, Muhammad Shahid

“…Extensions to higher dimensions should leverage advanced paradigms like adaptive mesh refinement and high-order schemes.…”
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Geospatial monitoring and analysis of agricultural drought to identify hotspots and risk assessment for Senegal by Gurjeet Singh, Narendra N. Das, P.V. Vara Prasad

“…The developed high-resolution drought monitoring system for Senegal not only identifies hotspots but also enables prioritizing sustainable approaches and adaptive strategies, ultimately sustaining agricultural productivity and resilience in Senegal’s drought-prone regions.…”
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Classifying IoT Botnet Attacks With Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations by Phuc Hao do, Tran Duc Le, Truong Duy Dinh, van Dai Pham

“…Kolmogorov-Arnold Networks prove to be highly effective for IoT botnet classification, outperforming conventional models and offering significant advantages in adaptability and accuracy. The integration of KAN-based models into existing cybersecurity frameworks can enhance the detection and mitigation of sophisticated botnet threats, thus contributing to more resilient and secure IoT ecosystems.…”
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Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework. by Máté Mohácsi, Márk Patrik Török, Sára Sáray, Luca Tar, Gábor Farkas, Szabolcs Káli

“…We identified several algorithms, including covariance matrix adaptation evolution strategy and particle swarm optimization, that consistently, without any fine-tuning, found good solutions in all of our use cases. …”
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Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-Based Noninvasive Digital System by Galib Muhammad Shahriar Himel, Md. Masudul Islam, Kh. Abdullah Al-Aff, Shams Ibne Karim, Md. Kabir Uddin Sikder

“…The vision transformer architecture is adapted to the skin cancer classification task. The model leverages the self-attention mechanism to capture intricate spatial dependencies and long-range dependencies within the images, enabling it to effectively learn relevant features for accurate classification. …”
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Systematic review of depressive, anxiety and post-traumatic stress symptoms among Asian American breast cancer survivors by William Tsai, Sumaiya Nusrath, Ruidi Zhu

“…Intervention studies were limited, but the use of community-based participatory research approaches and cultural adaptations were noted strengths of the studies.Discussion In addition to discussing clinical implications, we highlight limitations of the literature, including a lack of longitudinal studies and the limited use of standardised diagnostic instruments for assessing psychopathology symptoms among this population. …”
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Design and modeling of a highly compact negative index floral shape metamaterial for flight navigation applications by M. Pallavi, Praveen Kumar, B. R. Shivakumar

“…Recent years have seen a growing emphasis on enhancing the efficiency of CAS antennas because of several constraints, such as low gain (3.6 dB), larger dimensions, substantial side-lobe amplitude (− 7 dB), and challenges with beam adaptation. The current research strives to enhance the gain of a CAS antenna by incorporating the basic idea of metamaterials (MTMs). …”
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Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers by C. Rajathi, P. Rukmani

“…The HLM, as proposed, enhances the adaptability and robustness of the model by combining non-parametric and parametric models. …”
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COLLABORATIVE ONLINE INTERNATIONAL LEARNING: SUGGESTIONS FOR UKRAINIAN MEDICAL EDUCATION AND INTERDISCIPLINARY COOPERATION by Yu.V. Lysanets, J. Ward, C. Zhang, T. Downing, O.M. Bieliaieva

“…The emphasis on cultural immersion, global perspectives, and the adaptability of the projects make COIL a promising direction for enriching both students and staff within the Ukrainian higher education framework. …”
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A Hybrid Deep Learning‐Based Forecasting Model for the Peak Height of Ionospheric F2 Layer by Ya‐fei Shi, Cheng Yang, Jian Wang, Yu Zheng, Fan‐yi Meng, Leonid F. Chernogor

“…Abstract To achieve accurate forecasting of the peak height of the ionospheric F2 layer (hmF2), we propose a hybrid deep learning model of improved seagull optimization algorithm (ISOA) optimized long short‐term memory (LSTM) model based on a complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) theory. The hybrid model decomposes the hmF2 time data into multiple subsequences through CEEMDAN and reconstructs the subsequences by sample entropy and correlation coefficient into high and low‐frequency sequences, which effectively shortens the calculation time of the model. …”
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How bumblebees manage conflicting information seen on arrival and departure from flowers by Marie-Geneviève Guiraud, HaDi MaBouDi, Joe Woodgate, Olivia K. Bates, Oscar Ramos Rodriguez, Vince Gallo, Andrew B. Barron

“…Abstract Bees are flexible and adaptive learners, capable of learning stimuli seen on arrival and at departure from flowers where they have fed. …”
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Preparation of phosphogypsum ecological concrete and study on its phytogenic properties by Rongxin Liu, Chunduo Liu, Jiang Du, Cheng Wang, Yonghui Yuan, Xin Zhang

“…The addition of improvers had a good passivation effect on heavy metals such as As, Cu, Cr, Zn, Sb and Pb in the phytogenic substrate. The adaptability of different grass species to the planting substrate was Four Seasons > ryegrass > shepherd’s purse > clover, alfalfa, dogbane; the application of electrolytic manganese slag substrate had the best performance of planting, and the planting substrate with the application of improver inhibited the growth of plants. …”
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An explanatory model of suicidal ideation based on family functionality and mental health problems: A cross-sectional study of medical students by Leslie Aguilar-Sigueñas, David Villarreal-Zegarra

“…We used Family Cohesion and Adaptability Evaluation Scale (FACES-III), Family Communication Scale, Family Satisfaction Scale, Depression Anxiety and Stress Scales (DASS-21), and the Scale for Suicide Ideation – Worst (SSI-W). …”
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Visual-inertial navigation assisted by a single UWB anchor with an unknown position by Haolong Luo, Danping Zou, Jiansheng Li, Ancheng Wang, Li Wang, Zidi Yang, Guangyun Li

“…Finally, we proposed a nonlinear optimization method with dynamically adaptive weighting based on the HELMERT variance component estimation principle, which assigns appropriate weights to heterogeneous sensors. …”
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Antibiotic prophylaxis of acute postoperative endophthalmitis by V.P. Nikolaenko, D.F. Belov

“…</i> </p> <p> <i>In conclusion, the authors suggested a rational antimicrobial preventive algorithm for endophthalmitis after phaco based on the analysis of recent Russian and foreign published data and adapted to the Russian health care system.</i> </p> <p> <i><b>Keywords</b>: phacoemulsification, endophthalmitis, antiseptic, antibiotic, prophylaxis, antibacterial resistance, fluoroquinolones, aminoglycosides, povidone-iodine, intracameral administration.…”
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Learning-induced sensory plasticity of mouse olfactory epithelium by A. V. Romashchenko, Р. Е. Kireeva, M. В. Sharapova, Т. A. Zapara, A. S. Ratushnyak

“…However, evidence is accumulating that some forms of learning can in fact drive stimulus­specifc changes very early in sensory systems, including not only primary sensory cortices but also precortical structures and even the peripheral sensory organs themselves. …”
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Geriatric rehabilitation in the Netherlands and their preparedness for the increase in older adults: a scoping review by Hanne Jacomijntje van de Haar, Maria Nordheim Alme

“…There is a clear need for ongoing adaptations and developments in healthcare policy and practice to meet the needs of an aging population and ensure equitable access to rehabilitation services in the Netherlands. …”
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Multi-label classification with deep learning techniques applied to the B-Scan images of GPR by El Karakhi, Soukayna, Reineix, Alain, Guiffaut, Christophe

“…Three deep learning models: VGG-16, ResNet-50 and adapted CNN were used as pre-trained models for transfer learning. …”
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