Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours by Surbhi Mishra, Mysore Vishakantegowda Tejesvi, Jenni Hekkala, Jenni Turunen, Niyati Kandikanti, Anna Kaisanlahti, Marko Suokas, Sirpa Leppä, Pia Vihinen, Hanne Kuitunen, Kaisa Sunela, Jussi Koivunen, Arja Jukkola, Ilja Kalashnikov, Päivi Auvinen, Okko-Sakari Kääriäinen, T. Peñate Medina, O. Peñate Medina, Juha Saarnio, Sanna Meriläinen, Tero Rautio, Raila Aro, Reetta Häivälä, Juho Suojanen, Mikael Laine, Pande Putu Erawijattari, Leo Lahti, Peeter Karihtala, Terhi S. Ruuska, Justus Reunanen

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Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data by Ibrahim Olalekan Alabi, Ibrahim Olalekan Alabi, Hans-Peter Marshall, Jodi Mead, Ernesto Trujillo

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CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People by Fahad Ashiq, Muhammad Asif, Maaz Bin Ahmad, Sadia Zafar, Khalid Masood, Toqeer Mahmood, Muhammad Tariq Mahmood, Ik Hyun Lee

“…The application uses MobileNet architecture due to its low computational complexity to run on low-power end devices. …”
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Dust Storm Attenuation Prediction Using a Hybrid Machine Learning Model Based on Measurements in Sudan by Elfatih A. A. Elsheikh, E. I. Eltahir, Abdulkadir Tasdelen, Mosab Hamdan, Md Rafiqul Islam, Mohamed Hadi Habaebi, Aisha H. Abdullah Hashim

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A self-configuration framework for balancing services in the fog of things by Edson Mota, Jurandir Barbosa, Gustavo B. Figueiredo, Maycon Peixoto, Cássio Prazeres

“…Fog Computing has been playing a pivotal role in the Internet of Things (IoT) ecosystem, offering benefits such as local availability, access facilities, and enhanced communication among devices. …”
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Aplicación de la Metodología OOWS y el Marco Ágil Scrum en el Diseño del “Chat Corporativo” by Miriam López Sanluis, Elizabeth Cuatecontzi Cuahutle, María Guadalupe Medina Barrera, María Janaí Sánchez Hernández, José Juan Hernández Mora

“…Como trabajo futuro, se propuso migrar el chat a una plataforma Cloud Computing para aprovechar las ventajas como la escalabilidad, alta disponibilidad y seguridad que estas tecnologías ofrecen. …”
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Draft genome dataset of Streptomyces griseoincarnatus strain R-35 isolated from tidal pool sedimentsMendeley DataNCBI by Danielle Dana Mitchell, Jo-Marie Vreulink, Alaric Prins, Marilize Le Roes-Hill

“…The genomic DNA was sequenced using the Ion Torrent GeneStudio™ S5 platform, and the de novo assembly was performed using the SPAdes assembler on the Centre for High Performance Computing (CHPC) Lengau Cluster located at the CSIR, Rosebank, South Africa. …”
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Hf-induced strengthening and lattice distortion in HfxNbTaTiV refractory multi-principal element alloys by Yingwu Wang, Kai Xiong, Wei Li, Chengchen Jin, Haijun Wu, Hua Dai, Zihang Yang, Hongmo Yang, Shunmeng Zhang

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Heat transportation of 3D chemically reactive flow of Jeffrey nanofluid over a porous frame with variable thermal conductivity by Nahid Fatima, Aaqib Majeed, Taoufik Saidani, Nouman Ijaz, Kamal Barghout, Nidal Abu-Libdeh

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How to Achieve Efficiency and Accuracy in Discrete Element Simulation of Asphalt Mixture: A DRF-Based Equivalent Model for Asphalt Sand Mortar by Yu Liu, Peifeng Su, Miaomiao Li, Hui Yao, Junfu Liu, Mei Xu, Xiaodong Zhou, Zhanping You

“…However, modelling of asphalt sand mortar in this method remains to be a problem due to computing capacity. Larger-sized balls (generally 2.0–2.36 mm) were usually used to model the smaller particles and asphalt binder, but this replacement may result in the mixture’s unrealistic volumetric features. …”
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Anaesthetic efficacy of intraligamentary injection compared to incisive nerve block using 3% mepivacaine hydrochloride: a randomized clinical trial by Suzan Salem, Islam Saad, Ramy Elmoazen, Ghada Amin Khalifa

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From canonical to unique: extension of a lipophilicity scale of amino acids to non-standard residues by Antonio Viayna, Paulina Matamoros, David Blázquez-Ruano, William J. Zamora

“…In this study, we employ the integral equation formalism polarizable continuum model/Miertus-Scrocco-Tomasi (IEFPCM/MST) implicit solvation model to compute the n-octanol/water partition coefficient, serving as a lipophilic descriptor for non-standard amino acids. …”
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A new hybrid distance and similarity based scenario reduction approach for stochastic economic operation of microgrid by Gaurav Gangil, Amit Saraswat, Sunil Kumar Goyal

“…Moreover, the proposed HDS methods also outperforms the other three competing methods in terms of their objective function values after 98 % scenario reduction with a least computation time burden i.e. 87.6 %, 1.11 %, and 53 % less computing times are needed by HDS, FFS, and SIMCOR, respectively. …”
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Interface effects in the phase determination of Hf0.5Zr0.5O2 epitaxial thin films by Jesse Schimpf, Wang Zhang, Mahir Manna, Sandhya Susarla, Xue-Zeng Lu, James M. Rondinelli, Lane W. Martin

“…HfO2-based ferroelectrics show tremendous potential for applications in computing technologies, but questions remain as to what dictates the stabilization of the desired phase. …”
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Pendeteksi Citra Masker Wajah Menggunakan CNN dan Transfer Learning by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…However, manually checking to detect faces that are not wearing masks is a long and tiring job. Computer vision is a branch of computer science that can be used for image classification. …”
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End-to-End Security Mechanism Using Blockchain for Industrial Internet of Things by Muhammad Shahid Dildar, Adnan Shahid Khan, Irshad Ahmed Abbasi, Reema Shaheen Naseem Akhtar, Khalil Al Ruqaishi, Shakeel Ahmed Ghulam Sarwar

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Solanum tuberosum Leaf Extract Templated Synthesis of Co3O4 Nanoparticles for Electrochemical Sensor and Antibacterial Applications by Eneyew Tilahun Bekele, H. C. Ananda Murthy, Dhanalakshmi Muniswamy, Yeshaneh Adimasu Lemenh, Minale Shegaw Shume, Gezahegn Tadesse Ayanie, Avvaru Praveen Kumar, C. R. Ravikumar, R. Balachandran, Arpita Roy

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Milk Composition Is Predictive of Low Milk Supply Using Machine Learning Approaches by Xuehua Jin, Ching Tat Lai, Sharon L. Perrella, Xiaojie Zhou, Ghulam Mubashar Hassan, Jacki L. McEachran, Zoya Gridneva, Nicolas L. Taylor, Mary E. Wlodek, Donna T. Geddes

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Childhood neurodivergent traits, inflammation and chronic disabling fatigue in adolescence: a longitudinal case–control study by Neil A Harrison, Hugo D Critchley, Jessica Eccles, Kevin A Davies, Lisa Quadt, Rod Bond, Jenny Csecs

“…Objectives To test whether inflammatory processes link the expression of childhood neurodivergent traits to chronic disabling fatigue in adolescence.Design Longitudinal case–control study.Setting We analysed data from The Avon Longitudinal Study of Parents and Children (ALSPAC).Participants 8115 and 8036 children of the ALSPAC cohort at ages 7 and 9 years, respectively, 4563 of whom also completed self-report measures at age 18 years.Primary and secondary outcome measures We assessed if children scoring above screening threshold for autism/attention deficit hyperactivity disorder (ADHD) at ages 7 and 9 years had increased risk of chronic disabling fatigue at age 18 years, computing ORs and CIs for effects using binary logistic regression. …”
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