Smart Learning Ecosystems beyond 2030 by Gabriella Dodero, Carlo Giovannella, Francesca Pozzi

“…In the author’s opinion, future trends should be based on the distinction between adaptability and adaptivity, and on a balanced use of them by establishing suitable borders, possibly varying over time in accordance with learners’ learning progress and autonomy. …”
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Generative modeling of the Circle of Willis using 3D-StyleGAN by Orhun Utku Aydin, Adam Hilbert, Alexander Koch, Felix Lohrke, Jana Rieger, Satoru Tanioka, Dietmar Frey

“…Qualitative analysis was performed via a visual Turing test. We demonstrated the utility of generated data in a downstream task of multiclass semantic segmentation of CoW arteries. …”
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Using the implementation research logic model to examine high-intensity resistance rehabilitation implementation in skilled nursing facilities: a mixed methods multi-site case stud... by Lauren A. Hinrichs-Kinney, Danielle Derlein, Mattie E. Pontiff, Daniel Malone, Jodi Summers Holtrop, Jennifer E. Stevens-Lapsley

“…A standardized implementation strategy was employed, allowing sites to adapt this approach. HIR use was measured using the Provider Report of Sustainment Scale (PRESS). …”
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Investigating Digital Storytelling as a Tool of Improving/ Developing Information Literacy Skills by Maryam Khodabin, Mohammad Zerehsaz, Somaye Sadat Akhshik, Ghasem Azadi Ahmadabadi

“…Digital storytelling emphasizes the group process and people's experience in sharing stories, visual and verbal functions that are necessary for understanding language and thinking from the perspective of cognitive neuroscience. …”
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Midlife cognitive testing in Africa: validity of the Harmonised Cognitive Assessment Protocol in the Kenya Life Panel Survey by Jinkook Lee, Anthony Ngugi, Joshua R Ehrlich, William H Dow, Alden L Gross, Madeline Duhon, Eric Ochieng, Jean N Ikanga, Michael W Walker, Michelle Layvant, Edward A Miguel

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The Next Frontier in Brain Monitoring: A Comprehensive Look at In-Ear EEG Electrodes and Their Applications by Alexandra Stefania Mihai (Ungureanu), Oana Geman, Roxana Toderean, Lucas Miron, Sara SharghiLavan

“…This study also introduces a visual model outlining the stages of technological development for in-ear EEG, from initial research to clinical and commercial deployment. …”
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XPolypNet: A U-Net-Based Model for Semantic Segmentation of Gastrointestinal Polyps With Explainable AI by Arjun Kumar Bose Arnob, Muhammad Mostafa Monowar, Md. Abdul Hamid, M. F. Mridha

“…The next steps of this research will focus on domain adaptation and integration of additional modalities to enhance generalizability. …”
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Improved Masticatory Performance in the Partially Edentulous Rehabilitated with Conventional Dental Prostheses by Maria Angeles Lopez-Cordon, Laura Khoury-Ribas, Bernat Rovira-Lastra, Raul Ayuso-Montero, Jordi Martinez-Gomis

“…Changes in the occlusal contact area (OCA) and satisfaction with their chewing ability during the adaptation period were also evaluated. <i>Materials and Methods</i>: in total, 34 partially edentulous participants (median age 65.3 years; 56% women) who received an RPD or FPDP were assessed using masticatory performance assay, OCA calculation, and a visual analog scale (VAS). …”
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An efficient and comprehensive field protocol for assessing fuel characteristics for fire behaviour modelling in Australian open forests by Jennifer J. Hollis, Miguel G. Cruz, W. Lachlan McCaw, James S. Gould, Stephanie A. Samson

“…Current fuel inventory approaches used in Australia largely rely on visual assessment methods that are subjective and lack the consistency and accuracy required for fire management applications.We describe a protocol to quantify characteristics for various fuel strata considered in Australian fire modelling applications, namely: litter and suspended dead fuels; downed wood debris; live understorey; bark; and overstorey canopy. …”
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Sensory Diet Program Through In-Person and Tele-Occupationa Therapy in Children with Autism Spectrum Disorder: A Single-Blind Randomized Controlled Trial by Simin Dehghani, Marzieh Pashmdarfard, Zahra Pashazadeh Azari, Alireza Akbarzadeh Baghban, Sima Dehghani, Navid Mirzakhani Araghi

“…Through photos, videos, and explanations, sensory problems were described in both groups, the mother presented and implemented activities and environmental adaptations, and the therapist supervised the implementation. …”
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Fourier-modulated CLIP for zero-shot vehicle counting by Yunpeng Luo, Qin Zhang, Jiawei Luo, Shixin Huang, Xiaoyu Wan, Xixi Nie

“…Although large vision-language models have achieved significant progress in zero-shot text-image matching, adapting them for vehicle counting remains a challenging task. …”
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Artificial intelligence-driven mobile interpretation of a semi-quantitative cryptococcal antigen lateral flow assay by David Bermejo-Peláez, Ana Alastruey-Izquierdo, Narda Medina, Daniel Capellán-Martín, Oscar Bonilla, Miguel Luengo-Oroz, Juan Luis Rodríguez-Tudela

“…Conclusions This technology's adaptability for various LFAs suggests broader applications. …”
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A Novel Audio Copy Move Forgery Detection Method With Classification of Graph-Based Representations by Beste Ustubioglu, Gul Tahaoglu, Arda Ustubioglu, Guzin Ulutas, Muhammed Kilic

“…A swarm-based optimization approach is used to adaptively determine this dense region. The audio is then a bandpass filtered using the identified frequency range, and the second stage begins. …”
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Feature-Level Fusion Network for Hyperspectral Object Tracking via Mixed Multi-Head Self-Attention Learning by Long Gao, Langkun Chen, Yan Jiang, Bobo Xi, Weiying Xie, Yunsong Li

“…Hyperspectral object tracking has emerged as a promising task in visual object tracking. The rich spectral information within hyperspectral images benefits the accurate tracking in challenging scenarios. …”
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Delimitation of Landslide Areas in Optical Remote Sensing Images Across Regions via Deep Transfer Learning by Zan Wang, Shengwen Qi, Yu Han, Bowen Zheng, Yu Zou, Yue Yang

“…Optical remote sensing images, with their high spatial resolution and wide coverage, have emerged as invaluable tools for landslide analysis. However, visual interpretation and manual delimitation of landslide areas in optical remote sensing images is labor intensive and inefficient. …”
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A Sensitive, Specific and Fast Electrochemical‐based Nanobiosensor Diagnostic for Xanthomonas albilineans, the Cause of Sugarcane Leaf Scald Disease by Moutoshi Chakraborty, Shamsul Arafin Bhuiyan, Simon Strachan, Muhammad J.A. Shiddiky, Nam‐Trung Nguyen, Narshone Soda, Rebecca Ford

“…The unreliable symptom expressions make traditional visual detection challenging. The molecular methods of detection require expensive equipment, labor‐intensive, and time‐consuming. …”
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Effect of parasite egg size and quantity contrast of parasite-host eggs on recognition and rejection mode of Green-backed Tits by Xu Zhao, Ping Ye, Huaxiao Zhou, Canchao Yang

“…We hypothesized that both visual and tactile detection might be involved in egg recognition by Green-backed Tits and suggest further studies after controlling for nest light conditions. …”
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Exploring the use of the RISK21 approach for Indigenous community-based human health risk assessments: two case studies by Katherine Chong, Madisan Chavez, Ave Dersch, John Doyle, Margaret Eggers, JoRee LaFrance, Myra J Lefthand, Findlay MacDermid, Claire McAuley, Vanessa Simonds, Sara L Young, Niladri Basu

“…Our objectives are first, reflect upon the benefits and challenges of using RISK21 in these contexts; second, compare RISK21-based to conventional assessments; and third, ideate adaptations and improvements to the approach. The RISK21-based analyses had similar descriptive results to the original conventional assessments, including when using less information. …”
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Spatial&#x2013;Frequency Fusion Network With Learnable Fractional Fourier Transform for Remote Sensing Imaging Enhancement by Wenyu Xu, Maohan Liang, Yuxu Lu, Ruobin Gao, Dong Yang

“…In the frequency domain, a self-learned fractional Fourier transform module adaptively extracts haze-relevant features, leveraging a learnable parameter to dynamically adjust the fractional order of the transform. …”
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Evaluating the impact of advertising strategies on rural brand building: Insights from the personal care FMCG sector by Vinod Sharma, Chandan Maheshkar, Yogesh Mahajan, Sándor Remsei, Manohar Kapse

“…Practically, the findings offer marketers a roadmap for creating locally adapted and emotionally resonant campaigns that move beyond urban-centric models. …”
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