The external validity of machine learning-based prediction scores from hematological parameters of COVID-19: A study using hospital records from Brazil, Italy, and Western Europe. by Ali Safdari, Chanda Sai Keshav, Deepanshu Mody, Kshitij Verma, Utsav Kaushal, Vaadeendra Kumar Burra, Sibnath Ray, Debashree Bandyopadhyay

“…Alternatively, haematology-based detections were fast and near-accurate, although those were less explored. …”
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Adsorption-Based Removal of Sb (III) from Wastewater by Graphene Oxide-Modified Zirconium-Based Metal-Organic Framework Composites by Yilu Deng, Qiming Mao, Shuang Luo, Xiande Xie, Lin Luo

“…During the Sb (III) adsorption process, the adsorption rates of UiO-66-NH2 and GO@UiO-66-NH2 were very fast in the first 10 minutes, and the adsorption equilibrium was achieved in 12 h, with the adsorption efficiencies of 91.76% and 93.79%, respectively. …”
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Local Policies in the Fight Against the Covid-19 Pandemic: Ankara and Rome Municipal Councils’ Decisions by Hicran Hamza Çelikyay, Hülya Küçük Bayraktar

“…The findings reveal that fast and effective solutions delivered by local governments through local policies successfully curbed the pandemic that had spread around the world. …”
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Optical Imaging of Integrin αβ Expression with Near-Infrared Fluorescent RGD Dimer with Tetra(ethylene glycol) Linkers by Zhaofei Liu, Shuanglong Liu, Gang Niu, Fan Wang, Shuang Liu, Xiaoyuan Chen

“…In summary, NIRF imaging with IRDye800-E[PEG 4 -c(RGDfK)] 2 offers an easy, fast, and low-cost way to detect and semiquantify tumor integrin α v β 3 expression in living subjects.…”
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A Free-Space-Based Model for Predicting Peanut Moisture Content during Natural Drying by Xin Xu, Ying Sun, Yuanyuan Yin, Yiwei Xue, Fangyan Ma, Chao Song, Hang Yin, Liqing Zhao

“…The results show that the water content of peanut kernels decreased in a fast and then slow manner throughout the drying process and that the water content of kernels was stable at 5–8% at the end of drying. …”
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Investigating nonlinear dynamic properties of an inertial sensor with rotational velocity-dependent rigidity by Mina Ghanbari, Mohammad Fathalilou, Hamed Haddad Khodaparast, Ghader Rezazadeh

“…The analysis demonstrates the behavior of the sensors under different conditions, particularly highlighting the nonlinearity of the sensor, which causes primary and secondary resonances in the first, second, and third harmonic responses of the accelerometer, especially at higher bias voltages. Fast Fourier analyses indicated that the transversal vibration amplitude of the structure in the second and third harmonies are so considerable that cannot be neglected. …”
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Automatic assessment of nailfold capillaroscopy software: a pilot study by Olga Elżbieta Brzezińska, Krzysztof Andrzej Rychlicki-Kicior, Joanna Samanta Makowska

“…The neural network was trained using the fast.ai library (based on PyTorch). The ResNet-34 deep residual neural network was chosen; 10-fold cross-validation with the validation and test set was performed, using the Darknet-YoloV3 state of the art neural network in a GPU-optimized (P5000 GPU) environment. …”
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Evaluation of conditioning temperature and retention time on Enterococcus faecium inactivation, vitamin stability, metabolizable energy, and amino acid digestibility by J.I. Vargas, W.J. Pacheco, L.M. Almeida, C.W. Starkey, E. Monu

“…In Experiment 2, fifty cecectomized roosters were fasted for 30 h before being precision-fed 35 g of a control mash diet without thermal processing, or feed conditioned at 75°C for 95 s, 85°C for 175 s, and 95°C for 255 s. …”
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Prevalence of selected chronic diseases, health seeking behaviour and associated factors among the elderly workers of a selected district of Sri Lanka by Niluka Gunathilaka, Dulani L. Samaranayake, Manuj C. Weerasinghe

“… Introduction: Sri Lankan demographic transition has shifted the country to a fast-ageing population. Consequently, elderly in labour force will be noteworthy. …”
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Successful Non-Surgical Root Canal Treatment on Auto-Transplanted Maxillary Premolar with Apical Periodontitis by Christopher M. Naglieri, Ellie Bash, Glen A. Karunanayake, Carlos H. R. Camargo, Takashi Komabayashi

“…Four weeks later, after confirming the patient was asymptomatic and tooth mobility had decreased, the canal was obturated using EndoSequence Bioceramic Root Repair Material Fast Set Putty in 2 mm incremental layers to achieve a three-dimensional fill and create an apical plug to prevent gutta-percha extrusion, then backfilled in incremental layers of gutta-percha to the cementoenamel junction (CEJ). …”
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Modification of cotton gauze using Cynodon dactylon (Bermuda grass) and assessment of the chemical and antimicrobial properties by Umme Lewara Bristi, Abdur Rahman, Sadit Bihongo Malitha, Oishee Rahman, Sharmin Shoukat

“…Several tests were conducted, including Fourier Transform Infrared Spectroscopy (FTIR), anti-bacterial test, skin irritation test, gram-positive and gram-negative bacterial tests, color fastness to wash test, Scanning Electron Microscopy (SEM), and Energy-dispersive X-ray (EDX). …”
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Evaluation of One Step Nucleic Acid Amplification for detection of lymph node metastases compared to histopathological ultrastaging in women with endometrial cancer: a protocol for... by Jan Kostun, Alessandra Mescalchin, Martin Pešta, Robert Slunečko, Khaled M. Ismail, Vendula Smoligová, Jiri Presl

“…OSNA could represent a modern diagnostic alternative to sentinel lymph node ultrastaging with the added benefits of standardisation and fast results. Trial registration The study was registered in the German Clinical Trial Register – Nr. …”
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Organic Glass-Forming Liquids and the Concept of Fragility by Alba-Simionesco, Christiane

“…The most remarkable property of these liquids is how fast in temperature their viscosity or structural relaxation time increases as approaching $T_g$. …”
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Recent breakthroughs of non-thermal cold plasma food processing: A review by Muhammad Umair, Song Xun, Saqib Jabbar, Muhammad Abid, Muhammad Shahid Riaz Rajoka, He Zhendan

“…The use of atmospheric cold plasma (ACP) technology to mitigate the surface characteristics of biopolymers is a fast developing research area and has a lot of appeal. …”
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Research on the Rapid Detection of Formaldehyde Emission From Wood-Based Panels Based on the AMSHKELM by Yinuo Wang, Huanqi Zheng, Hua Wang, Yucheng Zhou

“…This model can combine interval prediction information to effectively and comprehensively assess the pass rate of test samples, providing a fast and reliable solution for formaldehyde emission testing of wood-based panels.…”
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Personalized lightweight distributed network intrusion detection system in fog computing by Tianpeng YE, Xiang LIN, Jianhua LI, Xuankai ZHANG, Liwen XU

“…With the continuous development of Internet of Things (IoT) technology, there is a constant emergency of new IoT applications with low latency, high dynamics, and large bandwidth requirements.This has led to the widespread aggregation of massive devices and information at the network edge, promoting the emergence and deep development of fog computing architecture.However, with the widespread and in-depth application of fog computing architecture, the distributed network security architecture deployed to ensure its security is facing critical challenges brought by fog computing itself, such as the limitations of fog computing node computing and network communication resources, and the high dynamics of fog computing applications, which limit the edge deployment of complex network intrusion detection algorithms.To effectively solve the above problems, a personalized lightweight distributed network intrusion detection system (PLD-NIDS) was proposed based on the fog computing architecture.A large-scale complex network flow intrusion detection model was trained based on the convolutional neural network architecture, and furthermore the network traffic type distribution of each fog computing node was collected.The personalized model distillation algorithm and the weighted first-order Taylor approximation pruning algorithm were proposed to quickly compress the complex model, breaking through the limitation of traditional model compression algorithms that can only provide single compressed models for edge node deployment due to the high compression calculation overhead when facing a large number of personalized nodes.According to experimental results, the proposed PLD-NIDS architecture can achieve fast personalized compression of edge intrusion detection models.Compared with traditional model pruning algorithms, the proposed architecture achieves a good balance between computational loss and model accuracy.In terms of model accuracy, the proposed weighted first-order Taylor approximation pruning algorithm can achieve about 4% model compression ratio improvement under the same 0.2% model accuracy loss condition compared with the traditional first-order Taylor approximation pruning algorithm.…”
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A Verifiable and Secure Industrial IoT Data Deduplication Scheme With Real-Time Data Integrity Checking in Fog-Assisted Cloud Environments by Jakkarin Lapmoon, Somchart Fugkeaw

“…For real-time data integrity, we propose an integrity verification algorithm that cross-references hash values stored in the cloud and blockchain, enabling fast and lightweight integrity checks. Finally, extensive experiments and comparative evaluations demonstrate that VERDUP significantly improves deduplication performance compared to existing methods.…”
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Upper Leg Muscular Co-Contraction During Maximal-Speed Sprinting in Male Club Ice Hockey Athletes by Jason J. Williams, William C. Roshinski, Joseph C. Watso

“…We split participants using median running velocity (FAST: 8.5 ± 0.3 vs. SLOW: 7.7 ± 0.3 m/s, p < 0.001). …”
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Transformer Outage Contingency in the Southern Interconnected Grid of Cameroon Based on Dynamic Power Flow Simulation by Chu Donatus Iweh, Wirnkar Basil Nsanyuy, Nde Donatus Nguti, Emmanuel Tanyi

“…Seventeen transformer outage events in the network were used to conduct the N-1 scenario-based contingency, so that the vulnerability of the network can be evaluated. The fast decoupled power flow method was continuously applied on the network, and the different contingency scenarios were ranked using a combination of 4 performance indices. …”
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Physical functioning trajectories over statutory retirement: a finnish occupational cohort study by Pauliina Saha, Jatta Salmela, Aapo Hiilamo, Anna Liisa Aho, Tea Lallukka

“…Lower educational level, sleep problems, physical inactivity, and obesity were associated with the trajectory groups of ‘fast decreasing’ and ‘slowly increasing’, compared to the ‘stable high’ trajectory. …”
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