Directly from surface to bulk: rapid prediction of internal densification in laser powder bed fusion additively manufactured nickel-based superalloy using machine learning by Longhai Hu, Keyu Shi, Dongdong Gu, Han Zhang, Miao Chang, Menghuan Yin, Jinming Xing, Ruiqi Wang, Kai Tang, Kuanyang Feng, Xuechun Hei

“…For the quantitative evaluation of processing quality of laser additive manufacturing, traditional characterisation methods such as Archimedes method and computed tomography (CT) face limitations in testing volume-constrained components, while optical imaging methods require destructive sample preparation. …”
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Spatio-temporal analysis of agroforestry systems in hotan using multi-source remote sensing and deep learning by Wenqi Kou, Zhanfeng Shen, Yihan Zhang, Haoyu Wang, Pengfei Ji, Lan Huang, Chi Zhang, Yubo Ma

“…In the Hotan region of Xinjiang, where arable land is scarce, an agroforestry system integrating walnut trees with crops has been implemented to maximize land-use efficiency. While this dense planting enhances land use, it also limits the availability of light to the understory crops, potentially impacting their yield and quality. …”
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Spatial and temporal variation of malaria incidence in children under 10 years in a pyrethroid-resistant vector area in southern Benin by Edouard Dangbenon, Mintodê Nicodème Atchadé, Martin C. Akogbéto, Mahouton N. Hounkonnou, Landry Assongba, Hilaire Akpovi, Manisha A. Kulkarni, Natacha Protopopoff, Jackie Cook, Manfred Accrombessi

“…Childhood malaria data were used to identify malaria hotspots according to months of follow-up using spatial scanning methods based on the Kulldoff algorithm. Stability scores were calculated by season to assess incidence heterogeneity. …”
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Analisis Perbandingan Algoritma Machine Learning dan Deep Learning untuk Klasifikasi Citra Sistem Isyarat Bahasa Indonesia (SIBI) by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…Machine learning classification algorithms have lower computation time, while Deep learning has higher classification performance. …”
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A Cone-Beam Computed Tomography-Based Assessment of Safe Zones for Orthodontic Mini-Implant Placement in the Lateral Maxilla: A Retrospective Morphometric Study by Iva Jakovljevic, Pavle Milanovic, Milica Vasiljevic, Jovana Milanovic, Momir Z. Stevanovic, Nemanja Jovicic, Milos Stepovic, Vladimir Ristic, Dragica Selakovic, Gvozden Rosic, Aleksandra Arnaut

“…Also, the CBCT analysis algorithm may serve as a valuable tool for clinicians in determining optimal TAD placement in different dental regions.…”
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Monolayer graphene/platinum-modified 3D origami microfluidic paper-based biosensor for smartphone-assisted biomarkers detection by Arda Fridua Putra, Annisa Septyana Ningrum, Suyanto Suyanto, Vania Mitha Pratiwi, Muhammad Yusuf Hakim Widianto, Irkham Irkham, Wulan Tri Wahyuni, Isnaini Rahmawati, Fu-Ming Wang, Chi-Hsien Huang, Ruri Agung Wahyuono

“…Conclusion: The 3D origami structure facilitates efficient fluid handling and multiplex detection, while the nanocatalyst modification improves pore infiltration and sensitivity. …”
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Associations of greenhouse gases, air pollutants and dynamics of scrub typhus incidence in China: a nationwide time-series study by Haoyue Cao, Jianqiang Han, Weiming Hou, Juxiang Yuan

“…Among them, middle-aged and young individuals are more susceptible to the effects of exposure to mixed air pollutants. CNN algorithm can help develop a comprehensive early warning system for scrub typhus. …”
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Temporal trends in the incidence of adverse effects of medical treatment in BRICS countries from 1990 to 2021: an age-period cohort analysis by Xingmin Wei, Xingmin Wei, Lu Jiang, Zhidong Zhang, Longjian Shang, Kun Liu, Xiaoang Qin, Gaoheng Ding, Lu Liu, Jianjun Wu

“…Brazil experienced the most substantial increase, rising from 23.06 per 100,000 to 75.09 per 100,000 (AAPC +3.88%), while Russia’s incidence grew less markedly, from 153.97 to 188.67 cases per 100,000 (AAPC +0.65%). …”
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Identification of biomarkers for Laryngeal squamous cell carcinoma through Mendelian randomization and integrated bioinformatics analysis by Pengjian Zhang, Weizhang Chen, Kai Chen, Yuanhang Ye, Weijun Wu

“…RNA-seq data from 114 LSCC and 12 normal samples were collected from the TCGA-HNSC cohort as a training set, while 270 LSCC samples were obtained from the GSE65858 dataset as a validation set. …”
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Land Cover Transformations in Mining-Influenced Areas Using PlanetScope Imagery, Spectral Indices, and Machine Learning: A Case Study in the Hinterlands de Pernambuco, Brazil by Admilson da Penha Pacheco, João Alexandre Silva do Nascimento, Antonio Miguel Ruiz-Armenteros, Ubiratan Joaquim da Silva Junior, Juarez Antonio da Silva Junior, Leidjane Maria Maciel de Oliveira, Sylvana Melo dos Santos, Fernando Dacal Reis Filho, Carlos Alberto Pessoa Mello Galdino

“…The methodology consisted of monitoring and evaluating environmental impacts using the k-Nearest Neighbors (kNN) algorithm, spectral indices (Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI)), and hydrological data, covering the period from 2018 to 2023. …”
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Role of low-frequency integrase strand transfer inhibitor resistance mutations on virological outcomes in antiretroviral therapy-naïve individuals initiating second-generation inte... by Daniele Armenia, Greta Marchegiani, Daniele Spalletta, Luca Carioti, Alessandro Tavelli, Maria Concetta Bellocchi, Vincenzo Spagnuolo, Valentina Mazzotta, Eugenia Quiros-Roldan, Valeria Bono, Stefania Carrara, Sergio Lo Caputo, Antonella D’Arminio Monforte, Francesca Ceccherini-Silberstein, Stefano Rusconi, Maria Mercedes Santoro

“…The prevalence of MRM was low (NGS cut-off 5%, 10%, 20%: 1.9%, 0.8%, 0.4%, respectively), while it was moderate for ARM (7.5%, 7.1%, 6.4%) and high for ORM (50.0%, 44.7%, 42.1%). …”
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Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass by Rodolfo Ceriani, Sebastian Brocco, Monica Pepe, Silvio Oggioni, Giorgio Vacchiano, Renzo Motta, Roberta Berretti, Davide Ascoli, Matteo Garbarino, Donato Morresi, Francesco Bassi, Francesco Fava

“…Accurate assessment and monitoring of stand volume (SV) and above-ground biomass (AGB) in mixed mountain forests is crucial for sustainable forestry, ecosystem service assessment, and climate change mitigation. While airborne multi/hyper-spectral and LiDAR sensors have been proven effective for SV and AGB retrieval, the potential of spaceborne systems remains understudied. …”
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Impact of the China's new energy market on carbon price fluctuation risk: Evidence from seven pilot carbon markets by Ruo-Yang Pu, Qiao-Mei Liang, Yi-Ming Wei, Song-Yang Yan, Xiang-Yu Wang, De-Hua Li, Chen Yi, Chang-Jing Ji

“…Moreover, to address subjectivity in variable selection and overfitting issues in carbon price determinants, the LASSO algorithm is integrated with the multivariate GARCH model. …”
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Recognition of pivotal immune genes NR1H4 and IL4R as diagnostic biomarkers in distinguishing ovarian clear cell cancer from high-grade serous cancer by Yumin Ke, Meili Liang, Zhimei Zhou, Yajing Xie, Li Huang, Liying Sheng, Yueli Wang, Xinyan Zhou, Zhuna Wu

“…We further validated key DIRGs’ diagnostic ability via a validation set and immunohistochemistry (IHC). The CIBERSORT algorithm was used to analyze correlations between DIRGs and immune cell types in OCCC.ResultsWe detected 10 DIRGs in OCCC compared to HGSC. …”
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Automated Video Assistant Referee in Lead Climbing by Eliane Künzler, David Roder, Urs Stöcker, Peter Wolf

“…Next, we will compare our scoring algorithm representing given regulations with scores awarded. …”
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Biophysical and nutritional combination treatment for myosteatosis in patients with sarcopenia: a study protocol for single-blinded randomised controlled trial by Maoyi Tian, Ling Qin, Simon Kwoon Ho Chow, Wing Hoi Cheung, A A Welch, Can Cui, Parco M Siu, Meng Chen Michelle Li, Yu Kin Cheng, Ronald Man Yeung Wong, Timothy CY Kwok, Minghui Yang, Clinton Rubin, Sheung Wai Law

“…Previous studies showed that β-hydroxy β-methylbutyrate (HMB) supplement and vibration treatment (VT) enhanced muscle quality, while the coapplication of the two interventions had further improved muscle mass and function in sarcopenic mice model. …”
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Development and validation of mRNA expression-based classifiers to predict low-risk thyroid tumors by Allan Golding, David Bimston, Emma Namiranian, Ellen Marqusee, Gabriel Correa, Evana Valenzuela Scheker, Ruochen Jiang, Yangyang Hao, Mohammed Alshalalfa, Jing Huang, Joshua P. Klopper, Richard T. Kloos, Sara Ahmadi

“…Machine learning algorithms were employed to develop the final candidate classifiers. …”
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Construction and application of a drought classification model for tea plantations based on multi-source remote sensing by Yang Xu, Yilin Mao, He Li, Xiaojiang Li, Litao Sun, Kai Fan, Zhipeng Li, Shuting Gong, Zhaotang Ding, Yu Wang

“…However, this approach is time-consuming and labor-intensive. While unmanned aerial vehicle (UAV) remote sensing offers efficient alternatives, existing studies predominantly rely on single-sensor data (e.g., multispectral (MS) or thermal infrared (TIR)), overlooking the potential of multi-source fusion—especially for tea plantations. …”
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Performance evaluation of inset feed microstrip patch antenna parameters with different substrate materials for 5G wireless applications by Kebbekoppalu Shrinivasa Praveena, M Patil Chandrashekar

“…The proposed method uses a new hybrid GA-PSO algorithm with Dynamic Adaptive Mutation and Inertia Control (DAMIC). …”
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Creeping in the night: What might ecologists be missing? by Carol Anne Nichols, Kathleen Alexander

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