Machine-learning models for Alzheimer’s disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation by Maryam Akhavan Aghdam, Serdar Bozdag, Fahad Saeed, Alzheimer’s Disease Neuroimaging Initiative

“…To better understand the landscape, we surveyed the major preprocessing, data management, traditional machine-learning (ML), and deep learning (DL) techniques used for diagnosing AD using neuroimaging data such as structural magnetic resonance imaging (sMRI), functional magnetic resonance imaging (fMRI), and positron emission tomography (PET). …”
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Adult age differences in the integration of values for self and other by Lena Pollerhoff, Anne Saulin, Marcel Kurtz, Julia Stietz, Xue-Rui Peng, Grit Hein, Anita Tusche, Philipp Kanske, Shu-Chen Li, Andrea M.F. Reiter

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Integrating PROSPECT-D physics and adversarial domain adaptation resnet for robust cross-ecosystem plant traits estimation by Hui Zhang, Haoxuan Su, Tie Shen, Guangyao Sun, Qi Wang

“…Plant functional traits, including chlorophyll content (CHL), equivalent water thickness (EWT), and leaf mass per area (LMA), are critical indicators for assessing ecosystem functioning, functional diversity, and their roles in the Earth system. …”
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DEBEcoMod: A dynamic energy budget R tool to predict life-history traits of marine organisms across time and space by A. Giacoletti, M. Bosch-Belmar, G. Di Bona, M.C. Mangano, B. Stechele, G. Sarà

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Efficient Virus-Induced Gene Silencing (VIGS) Method for Discovery of Resistance Genes in Soybean by Kelin Deng, Zihua Lu, Hongli Yang, Shuilian Chen, Chao Li, Dong Cao, Hongwei Wang, Qingnan Hao, Haifeng Chen, Zhihui Shan

“…Soybean (<i>Glycine max</i> L.) is a vital grain and oil crop, serving as a primary source of edible oil, plant-based protein, and livestock feed. …”
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Prognostic value of lymphocyte-to-monocyte ratio in acute ischemic stroke: a systematic review and meta-analysis by Chengli Tian, Chengli Tian, Yilin Yang, Yilin Yang, Jun Wan, Ran Wang, Ke Zhou, Yuanli Li, Wenlong Guo, Huijun Li, Yu Zhang

“…To investigate possible sources of variability, we conducted subgroup analyses. …”
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Environmental adaptations in metagenomes revealed by deep learning by Johanna C. Winder, Simon Poulton, Taoyang Wu, Thomas Mock, Cock van Oosterhout

“…In this study, we applied a transfer learning approach using the ESM-2 protein structure prediction model and our own smaller ANN to classify proteins containing the domain of unknown function 3494 (DUF3494) by their source environments. …”
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A Global Attention Mechanism-Based EfficientNet Model for Road Pavement-Type Identification by Zhe-Yuan Ni, Jun-Cheng Wang

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Efficient implementations of a Born Series for computing photoacoustic field from a collection of erythrocytes by Ujjal Mandal, Navroop Singh, Kartikay Singh, Vinit Nana Hagone, Jagpreet Singh, Anshu S. Anand, Ben T. Cox, Ratan K. Saha

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Cropland non-agriculturization and agricultural green development: Evidence from the Yangtze River Economic Belt, China by Chunxia Zhu, Yangyang Sun, Haolun Xu

“…Employing the biennial non-radial directional distance function and Luenberger index, the agricultural green total factor productivity (AGTFP) has been measured under the dual constraints of “carbon source” and “carbon sink”. …”
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Deep Defense Against Mal-Doc: Utilizing Transformer and SeqGAN for Detecting and Classifying Document Type Malware by Gati Lother Martin, Sang-Min Lee, Jong-Hyun Kim, Young-Seob Jeong, Ah Reum Kang, Jiyoung Woo

“…Initially, we develop MalCode2Vec to learn associations between source codes and represent them as numeric vectors. …”
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Estimation of Above-Ground Biomass for <italic>Dendrocalamus Giganteus</italic> Utilizing Spaceborne LiDAR GEDI Data by Huanfen Yang, Zhen Qin, Qingtai Shu, Li Xu, Jinge Yu, Shaolong Luo, Zaikun Wu, Cuifen Xia, Zhengdao Yang

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Strategies for efficient utilization of heavy rare-earth Tb in high-performance Ce magnets with high Ce content by Xiaolong Song, Qisong Sun, Minggang Zhu, Dongmin Zhang, Yifei Xiao, Yikun Fang, Qiang Wang, Wei Li

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Utilization of Windu Shrimp Shell Waste from Malaka-NTT for Chitosan Synthesis: Characterization Study and Application Potential by Yohana Ivana Kedang, Ika Oktavianawati, Marselina Theresia Djue Tea

“…This research uses shrimp shell waste from the Malaka-NTT as a chitin and chitosan production source. Chitosan synthesis consists of three steps, namely deproteination, demineralization and deacetylation. …”
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Methodological characterization of X-ray absorption Spectroscopy in small molecule conversion processes utilizing energy catalytic nanomaterials by Rui Ren, Sitan Li, Yulan Gu, Guifen Li, Dongdong Xue, Nuo Liu, Yali Zhang, Li An, Jiangwei Zhang

“…Prioritizing the advancement and sustainability of renewable energy sources is imperative to bolster global efforts promoting the displacement of fossil fuels and attaining carbon neutrality. …”
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pH shift extraction technique for plant proteins: A promising technique for sustainable development by Zainab Sultan, Alweera Ashfaq, Kausar Jahan, Ovais Shafiq Qadri, Kaiser Younis, Owais Yousuf

“…Plant proteins offer versatile functional and dietary benefits, making them suitable for various food applications. …”
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A novel speaker verification approach featuring multidomain acoustics based on the weighted city-block Minkowski distance by Khushboo Jha, Sumit Srivastava, Aruna Jain

“…Parameters are computed based on the confusion matrix, template matching distance functions, dynamic acoustic conditions, and additive white Gaussian noise. …”
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Cerebello‐Prefrontal Connectivity Underlying Cognitive Dysfunction in Spinocerebellar Ataxia Type 2 by Ami Kumar, Ruo‐Yah Lai, Zena Fadel, Yicheng Lin, Pia Parekh, Rachel Griep, Ming‐Kai Pan, Sheng‐Han Kuo

“…The constellation of cognitive symptoms due to cerebellar degeneration is named cerebellar cognitive affective syndrome (CCAS), which has increasingly been recognized to profoundly impact patients' quality of life; however, the brain circuits underlying these cognitive dysfunctions remain elusive. Methods We utilized a novel technique, cerebello‐cortical electroencephalogram (EEG), to investigate the resting‐state functional connectivity in different frequency domains in 12 SCA2 patients and 24 age‐matched controls. …”
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A deep learning-based reconstruction model for 3D sound speed field combining underwater vertical information by Hongchen Li, Yuhang Liu, Ming Li, Penghao Wang, Yuhang Zhu, Kefeng Mao, Xi Chen

“…The model utilizes multi-source satellite remote sensing data and CMEMS temperature-salinity reanalysis data, simultaneously incorporating sea surface environmental factors (SST, SLA, and EKE) and underwater information (average density) as inputs. …”
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Fe(II)-loaded goat manure biochar efficiently activated peroxymonosulfate for tetracycline degradation in groundwater by Lianjie Fan, Lianjie Fan, Lianjie Fan, Qinglin Xie, Yanhong Li, Shengzhang Zou, Shengzhang Zou, Haiping Lu, Haiping Lu, Su Ling Li, Su Ling Li, Xiaoxiao Li

“…It is of practical significance that such wastes can be converted into functional materials to promote the resource utilization of waste and reduce the risk of antibiotic contamination. …”
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