Relationship Between Landscape Character and Public Preferences in Urban Landscapes: A Case Study from the East–West Mountain Region in Wuhan, China by Xingyuan Li, Wenqing Pang, Lizhi Han, Yufan Yan, Xianjie Pan, Diechuan Yang

“…The results show that (1) public preferences hotspots are concentrated in three types: (a) urban construction-driven types, including areas dominated by commercial service functions and those characterized by mixed-function residential areas; (b) natural terrain-dominated types with well-developed supporting facilities; and (c) hybrid transition types predominated by educational and scientific research land uses. …”
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TLR4-mediated chronic neuroinflammation has no effect on tangle pathology in a tauopathy mouse model by Neha Basheer, Muhammad Khalid Muhammadi, Carlos Leandro Freites, Martin Avila, Miraj Ud Din Momand, Natalia Hryntsova, Tomas Smolek, Stanislav Katina, Stanislav Katina, Norbert Zilka

“…Despite extensive microglial activation, there was no observed reduction in tau hyperphosphorylation or a decrease in tangle formation in the brainstem, where pathology predominantly develops in this model.DiscussionThese findings suggest that chronic TLR4 stimulation in tau-transgenic mice results in significant microglial activation but does not influence tau tangle formation. …”
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BO-CNN-BiLSTM deep learning model integrating multisource remote sensing data for improving winter wheat yield estimation by Lei Zhang, Changchun Li, Xifang Wu, Hengmao Xiang, Yinghua Jiao, Huabin Chai

“…However, its effectiveness for yield estimation under various data fusion conditions has not been thoroughly explored. This study developed a deep learning model named BO-CNN-BiLSTM (BCBL), combining the feature extraction capabilities of a convolutional neural network (1DCNN) with the time-series memory advantages of a bidirectional long short-term memory network (BiLSTM). …”
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A Resource-Efficient 3D U-Net for Hippocampus Segmentation Using CLAHE and SCE-3DWT Techniques by Faizaan Fazal Khan, Jun-Hyung Kim, Chun-Su Park, Ji-In Kim, Goo-Rak Kwon

“…This study addresses these challenges by developing a computationally efficient and accurate 3D U-Net model tailored for hippocampus segmentation. …”
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Applying the Information–Motivation–Behavioral Skills model to a video-assisted HPV intervention to promote self-screening uptake: a qualitative study in Western Kenya by Michelle Huang, Hanul Choi, Haley Dion, Laya Sathyan, Emily Herfel, Breandan Makhulo, Jeniffer Ambaka, Megan J. Huchko

“…The initial codebook was developed prior to the FGDs using an Information–Motivation–Behavioral (IMB) Skills model framework, followed by a rapid analysis to identify missing themes. …”
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Daily-Scale Fire Risk Assessment for Eastern Mongolian Grasslands by Integrating Multi-Source Remote Sensing and Machine Learning by Risu Na, Byambakhuu Gantumur, Wala Du, Sainbuyan Bayarsaikhan, Yu Shan, Qier Mu, Yuhai Bao, Nyamaa Tegshjargal, Battsengel Vandansambuu

“…Utilizing fire point data from eastern Mongolia (2012–2022), we fused multiple feature variables and developed and optimized three models: random forest (RF), XGBoost, and deep neural network (DNN). …”
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The study on risk assessment of carotid plaques in the Northern Chinese population based on LASSO regression by Kun Yuan, Chongjian Li, Junmin Chu, Yilin Huang, Jiayi Song, Liguang Dong, Ying Yang, Hongyu Wang, Jinbo Liu, Xinhua An, Xiaoyuan Tian, Lin Mu, Ye Tian, Zengwu Wang, Linfeng Zhang

“…LASSO regression was used for feature selection, logistic regression was employed to analyze risk factors, and a risk assessment nomogram was also developed.. …”
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Invasive aspergillosis in adult patients with rheumatic diseases by V. I. Mazurov, A. M. Lila, O. V. Shadrivova, M. S. Tonkoshkur, M. S. Shostak, L. V. Martynova, O. V. Inamova, M. S. Petrova, A. Yu. Fonturenko, E. A. Desyatik, Yu. V. Borzova, Yu. E. Melekhina, I. S. Bogomolova, S. M. Ignatyeva, N. N. Klimko

“…The common site of IA was the lung (83%); the characteristic feature detected by computed tomography (CT) is pulmonary cavitation (44%). …”
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Long-lasting residual efficacy of a new indoor residual spraying product, VECTRON™ T500 (broflanilide), against pyrethroid-resistant malaria vectors and its acceptance in a communi... by Aristide Sawdetuo Hien, Koama Bayili, Samina Maiga, Welbeck Oumbouke, Jean Birba, Dieudonné Diloma Soma, Adissa Ya Ouattara, Delphine Ouissamien Karama, Marlize Coleman, Janneke Snetselaar, Graham Small, Shinya Niimi, Kawase Ayumi, Sidzabda Kompaoré, Katsutoshi Tsuchiya, Roch Kounbobr Dabiré, Abdoulaye Diabaté

“…To slow the spread of resistance, it is essential to develop and evaluate new formulations that feature unique modes of action and extended residual effects. …”
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Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol by Mauro Podda, Adolfo Pisanu, Gianluca Pellino, Adriano De Simone, Lucio Selvaggi, Valentina Murzi, Eleonora Locci, Matteo Rottoli, Giacomo Calini, Stefano Cardelli, Fausto Catena, Carlo Vallicelli, Raffaele Bova, Gabriele Vigutto, Fabrizio D’Acapito, Giorgio Ercolani, Leonardo Solaini, Alan Biloslavo, Paola Germani, Camilla Colutta, Savino Occhionorelli, Domenico Lacavalla, Maria Grazia Sibilla, Stefano Olmi, Matteo Uccelli, Alberto Oldani, Alessio Giordano, Tommaso Guagni, Davina Perini, Francesco Pata, Bruno Nardo, Daniele Paglione, Giusi Franco, Matteo Donadon, Marcello Di Martino, Dario Bruzzese, Daniela Pacella

“…The MINERVA study aims to develop and validate a machine learning (ML) model to predict the risk of RAP (at 30, 60, 90 days, and at 1-year) in MABP patients, enhancing decision-making processes. …”
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Childhood trauma and recent stressors in predicting subclinical psychotic symptoms among Chinese university students in southwest China: a machine learning analysis within a gender... by Jay Pan, Samuele Cortese, Gang Wang, Tao Hu, Steve Lukito, Miguel Garcia-Argibay, Wanjie Tang, Siqi Wu, Zeyuan Sun, Qiaolan Liu, Shuang Xue, Zijian Deng, Qijun Zhao, Kadan Anoop, Natali Bozhilova, Aldo Conti, Chunhan Jin, Changjian Qiu, Katya Rubia

“…This information can help mental health professionals develop better ways to prevent and address SPSs.…”
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Chaotic Behaviour, Sensitivity Assessment, and New Analytical Investigation to Find Novel Optical Soliton Solutions of M-Fractional Kuralay-II Equation by J. R. M. Borhan, E. I. Hassan, Arafa Dawood, Khaled Aldwoah, Amani Idris A. Sayed, Ahmad Albaity, M. Mamun Miah

“…The implementation of chaotic behavior and a sensitivity assessment of the newly developed M-fractional Kuralay-II equation are the foremost objectives of the present study. …”
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UAV-based phenotyping identifies net assimilation rate as a diagnostic trait for synergistic enhancement of rice yield and grain quality by Weiyuan Hong, Xiangqian Feng, Ziqiu Li, Jinhua Qin, Huaxing Wu, Yunbo Zhang, Guang Chu, Chunmei Xu, Kai Yu, Yuanhui Liu, Danying Wang, Song Chen

“…Furthermore, feature importance analysis using extreme gradient boosting (R2 ​= ​0.99) assessed the importance of these traits for yield and grain quality, and four common traits that were crucial for both yield and grain quality were identified. …”
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Unsupervised Modelling of E-Customers’ Profiles: Multiple Correspondence Analysis with Hierarchical Clustering of Principal Components and Machine Learning Classifiers by Vijoleta Vrhovac, Marko Orošnjak, Kristina Ristić, Nemanja Sremčev, Mitar Jocanović, Jelena Spajić, Nebojša Brkljač

“…Lastly, after performing Permutation Feature Importance (PFI), the findings suggested that age, work status, education, and income are the main determinants of shaping e-customer profiles and developing marketing strategies.…”
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Monitoring Moso bamboo (Phyllostachys pubescens) forests damage caused by Pantana phyllostachysae Chao considering phenological differences between on-year and off-year using UAV h... by Anqi He, Zhanghua Xu, Yifan Li, Bin Li, Xuying Huang, Huafeng Zhang, Xiaoyu Guo, Zenglu Li

“…This study utilizes the Recursive Feature Elimination (RFE) algorithm to investigate hyperspectral remote sensing characteristics of P. phyllostachysae in Moso bamboo forests. …”
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Comprehensive Analysis of the Complete Mitochondrial Genome of <i>Paeonia ludlowii</i> Reveals a Dual-Circular Structure and Extensive Inter-Organellar Gene Transfer by Zhefei Zeng, Zhengyan Zhang, Ngawang Norbu, Ngawang Bonjor, Xin Tan, Shutong Zhang, Norzin Tso, Junwei Wang, La Qiong

“…This study elucidates the unique structural characteristics of the <i>P. ludlowii</i> mitochondrial genome and establishes a crucial genetic foundation for developing targeted conservation strategies and facilitating molecular-assisted breeding programs for this endangered species.…”
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Multiwavelength Observation of a Candidate Pulsar Halo LHAASO J0621+3755 and the First X-Ray Detection of PSR J0622+3749 by C. B. Adams, A. Archer, P. Bangale, J. T. Bartkoske, W. Benbow, J. H. Buckley, Y. Chen, J. L. Christiansen, A. J. Chromey, A. Duerr, M. Errando, M. Escobar Godoy, A. Falcone, S. Feldman, Q. Feng, L. Fortson, A. Furniss, W. Hanlon, O. Hervet, C. E. Hinrichs, J. Holder, T. B. Humensky, W. Jin, M. N. Johnson, P. Kaaret, M. Kertzman, M. Kherlakian, D. Kieda, T. K. Kleiner, N. Korzoun, F. Krennrich, S. Kumar, S. Kundu, M. J. Lang, M. Lundy, G. Maier, M. J. Millard, J. Millis, C. L. Mooney, P. Moriarty, R. Mukherjee, W. Ning, R. A. Ong, A. Pandey, M. Pohl, E. Pueschel, J. Quinn, P. L. Rabinowitz, K. Ragan, P. T. Reynolds, D. Ribeiro, L. Rizk, E. Roache, I. Sadeh, L. Saha, G. H. Sembroski, R. Shang, M. Splettstoesser, D. Tak, A. K. Talluri, J. V. Tucci, J. Valverde, D. A. Williams, S. L. Wong, J. Woo, (VERITAS collaboration), Jon Kwong, Kaya Mori, Charles J. Hailey, Samar Safi-Harb, Shuo Zhang, Naomi Tsuji, (XMM-Newton collaboration), Silvia Manconi, Fiorenza Donato, Mattia Di Mauro

“…Combined with the LHAASO Kilometer Square Array (KM2A) and Fermi-LAT data, VERITAS flux upper limits establish a spectral break at  ∼1–10 TeV, a unique feature compared with Geminga, the most studied pulsar halo. …”
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Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging by Paul J. Weiser, Georg Langs, Wolfgang Bogner, Stanislav Motyka, Bernhard Strasser, Polina Golland, Nalini Singh, Jorg Dietrich, Erik Uhlmann, Tracy Batchelor, Daniel Cahill, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi

“…A deep neural network using recurring interlaced convolutional layers with joint dual-space feature representation was developed for deep learning ECCENTRIC reconstruction (Deep-ER). 21 subjects were used for training and 6 subjects for testing. …”
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A mixed methods study protocol for CONFIVAC, an intervention to enhance paediatric nurses' and paediatricians' skills to promote vaccination and vaccine confidence by Elisabet Henderson, Sara Valmayor, Victoria Porthé, Alba Asensio, Xavier Bruna, Usue Elizondo-Alzola, Anna Ramirez-Morros, Gemma Ricós, Josep Vidal-Alaball, M. Isabel Pasarín, Cristina Rius, Elena Roel, Elia Díez

“…Paediatric healthcare workers (PHCWs) are key in promoting vaccination but often feel unprepared to manage VH effectively. We developed CONFIVAC, an intervention designed to strengthen the knowledge, self-efficacy, and skills of PHCWs in improving childhood vaccination, addressing VH, and fostering a culture of immunization within primary care. …”
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6-O-alkyl 4-methylumbelliferyl-β-D-glucosides as selective substrates for GBA1 in the discovery of glycosylated sterols by Stef Bannink, Kateryna O. Bila, Joosje van Weperen, Nina A.M. Ligthart, Maria J. Ferraz, Rolf G. Boot, Daan van der Vliet, Daphne.E.C. Boer, Herman S. Overkleeft, Marta Artola, Johannes M.F.G. Aerts

“…However, these assays suffer from background 4MU release by the non-lysosomal GBA2 and cytosolic GBA3 enzymes. Here we developed GBA1-selective fluorogenic substrates by synthesizing a series of 6-O-acyl-4MU-β-Glc substrates with diverse fatty acid tails. …”
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