Inferring Tripartite Associations of Vector-Borne Plant Pathogens Using a Next-Generation Sequencing Approach by Ava M. Gabrys, Christopher H. Dietrich, Valeria Trivellone

“…Here, we used anchored hybrid enrichment (AHE) to recover the DNA of five plant genes (<i>rbcL</i>, <i>matK</i>, <i>ITS1</i>, <i>ITS2</i>, and <i>trnH-psbA</i>) in 58 phloem-feeding leafhoppers from around the world that had previously tested positive for phytoplasma infection. …”
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Socioeconomic disparities in children's posture defects: a comparison between private and public educational institutions by Lukasz Kolodziej, Sebastian Kwiatkowski, Magda Gebska, Ireneusz Walaszek, Karolina Skonieczna-Żydecka

“…The most common problems were flat feet (54.73%), calf muscle contracture (44.30%), and valgus deformity (21.22%). …”
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Investigation of Growth Performance, Proximate and Fatty Acid Composition of Freshwater (Euglena gracilis, Chlorella vulgaris) and Marine (Pavlova lutheri, Diacronema vlkanium) Mic... by Kamil Mert Eryalçın, Merve Sayar

“…This work is focused on investigating the nutrient compositions, growth, and fatty acid composition of Chlorella vulgaris, Euglena gracilis, Pavlova lutheri, and Diacronema vlkanium, which are natural diets of bivalve, crustaceans, live prey such as rotifer, copepods, daphnia and feed ingredients in aquaculture nutrition. Microalgae culture was performed in a live feed laboratory under controlled physical and chemical conditions. …”
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Research on Recommendation Algorithm of Joint Light Graph Convolution Network and DropEdge by Haicheng Qu, Jiangtao Guo, Yanji Jiang

“…Overfitting in a deep neural network leads to low recommendation precision and high loss. …”
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Constructing Attention-LSTM-VAE Power Load Model Based on Multiple Features by Chaoyue Ma, Ying Wang, Feng Li, Huiyan Zhang, Yong Zhang, Haiyan Zhang

“…Therefore, the performance of the Attention-LSTM-VAE model is better than the general deep learning load models, which has important reference for the research of power load models. …”
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Evaluation of the implementation of governmental policies and actions to create healthy food environments in Burkina Faso by Viviane Aurélie Tapsoba, Ella WR Compaore, Augustin Nawidimbasba Zeba, Jerome Winbetourefa Some, Julien Soliba Manga, Adama Diouf, Jean-Claude Moubarac, Stefanie Vandevijvere, Mamoudou H Dicko

“…Conclusions: The general results showed that there is a clear need for further improvements in policy and infrastructure support to promote healthy food environments. …”
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Assessment of symptoms of temporomandibular dysfunction in patients undergoing orthodontic treatment using occlusal lift by Isabella Avelar Santos, Gracia Lopes Costa, Rodrigo Bernardes Pereira, Thiago Bezerra Leite, António Sérgio Guimarães, Luciane Lacerda Franco Rocha Rodrigues

“…RESULTS: In the T1 assessment, 42.50% (n= 17) of patients reported feeling any type of pain and 57.50% (n= 23) did not feel any pain. …”
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Numerical Simulation of Empty-Hole Effect during Parallel-Hole Cutting under Different In Situ Stress Conditions by Zhengyu Wu, Dayou Luo, Feng Chen, Wulin Huang

“…With the progress of deep mining in mine exploitation, the effect of the in situ stress field plays a more and more significant and crucial role in rock blasting. …”
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Chrysosporium queenslandicum: a potent keratinophilic fungus for keratinous waste degradation by Tarun Kumar Kumawat, Anima Sharma, Seema Bhadauria

“…The hydrolyzed keratinous material can also be utilized as the source of fertilizers for plants and feed for animals.…”
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Coconut residues increase light fraction of organic matter and water retention in semi-arid sandy soil under irrigated cultivation by Isnara Evelin Barbosa da Silva, Magnus Dall’Igna Deon, Davi José Silva, Francisco Alisson da Silva Xavier, Ana Paula Guimarães Santos, Diana Signor

“…Carbon contents and stocks up to 0.40 m deep, the physical quality of soil organic matter, and soil water retention were evaluated. …”
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Virtual Healthcare Center for COVID-19 Patient Detection Based on Artificial Intelligence Approaches by Seifeddine Messaoud, Soulef Bouaafia, Amna Maraoui, Lazhar Khriji, Ahmed Chiheb Ammari, Mohsen Machhout

“…The increasing number of COVID-19 tests gives more information about the epidemic spread, and this can help contain the spread to avoid more infection. As COVID-19 keeps spreading, medical products, especially those needed to perform blood tests, will become scarce as a result of the high demand and insufficient supply and logistical means. …”
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Electrochemical Skin Conductance as a Marker of Painful Oxaliplatin-Induced Peripheral Neuropathy by Jean-Baptiste Delmotte, Abdulkarim Tutakhail, Kahina Abdallah, Pauline Reach, Marguerite D’Ussel, Gael Deplanque, Hélène Beaussier, François Coudoré

“…New insights into oxaliplatin-induced peripheral neuropathy (OIPN) assessment are needed to detect more effectively this condition. …”
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Foodborne Event Detection Based on Social Media Mining: A Systematic Review by Silvano Salaris, Honoria Ocagli, Alessandra Casamento, Corrado Lanera, Dario Gregori

“…This review underscored the potential of social media and ML in foodborne disease surveillance and emphasizes the need for standardized methodologies and further exploration of deep learning models.…”
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Coupled Effect of Water Temperature and Cyclic Wetting and Drying on Dynamic Mechanical Characteristics of Sandstone by Pu Yuan, Ning-Ning Wei, Qin-Yong Ma, Ju-Cai Chang

“…Considering the periodical moisture variation in deep rock masses, cyclic wetting and drying under high geothermal condition is a vital issue for the safety and stability of deep rock engineering. …”
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Functional feature extraction and validation from twelve-lead electrocardiograms to identify atrial fibrillation by Wei Yang, Rajat Deo, Wensheng Guo

“…Abstract Background Deep learning methods on standard, 12-lead electrocardiograms (ECG) have resulted in the ability to identify individuals at high-risk for the development of atrial fibrillation. …”
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Quality evaluation of fermented products of various local agroindustrials by-products: the effect on digestibility and growth performance of common carp juvenile by Muhammad Agus Suprayudi, Gebbie Edriani, Julie Ekasari

“…The local feedstuffs tested in this experiment were kapok seed, cassava peel, copra, rubber seed, and palm kernel meal. …”
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AI-Driven Plant Health Assessment: A Comparative Analysis of Inception V3, ResNet-50 and ViT with SHAP for Accurate Disease Identification in Taro by Valeria Maeda-Gutiérrez, Juan José Oropeza-Valdez, Luis C. Reveles-Gómez, Cristian Padron-Manrique, Osbaldo Resendis-Antonio, Luis Octavio Solís-Sánchez, Hector A. Guerrero-Osuna, Carlos Alberto Olvera Olvera

“…The novelty of this work lies in the first-ever integration of SHapley Additive exPlanations (SHAP) with deep learning architectures to enhance model interpretability while providing a comprehensive comparison of state-of-the-art methods for this underexplored crop. …”
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Remote Facial Expression and Heart Rate Measurements to Assess Human Reactions in Glass Structures by Chiara Bedon, Silvana Mattei

“…The so-called “emotional architecture” and its nervous feelings are part of the issue. The interaction of objective and subjective parameters can thus make the “optimal” building design complex. …”
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Comparative analysis of the DCNN and HFCNN Based Computerized detection of liver cancer by Sandeep Dwarkanth Pande, Pala Kalyani, S Nagendram, Ala Saleh Alluhaidan, G Harish Babu, Sk Hasane Ahammad, Vivek Kumar Pandey, G Sridevi, Abhinav Kumar, Ebenezer Bonyah

“…Researchers have explored numerous machine learning (ML) techniques and deep learning (DL) approaches aimed at the automated recognition of liver disease by analysing computed tomography (CT) images. …”
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A Disentangled Representation-Based Multimodal Fusion Framework Integrating Pathomics and Radiomics for KRAS Mutation Detection in Colorectal Cancer by Zhilong Lv, Rui Yan, Yuexiao Lin, Lin Gao, Fa Zhang, Ying Wang

“…Recently, the advancement of machine learning, especially deep learning, has greatly promoted the development of KRAS mutation detection from tumor phenotype data, such as pathology slides or radiology images. …”
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