Acute Form of Sarcoidosis (Löfgren Syndrome): A Case Report by Ali Abduljabbar

“…Diagnosis of the disease can be quite challenging owing to its infrequent occurrence and the limited availability of sensitive and specific diagnostic tools, tests, and changeable clinical pictures that may suggest different aetiologies. …”
Get full text

Simulation and techno-economic analysis of energy cane pyrolysis for bio-oil production using Aspen Plus by Thomas Rafael de Oliveira, Antonio Carlos Luz Lisboa

“…Firstly, 100 kg/h of wet biomass entered a stoichiometric reactor (RSTOIC) at 450 °C and 40 bar, generating biochar, bio-oil and gases. Secondly, a sensitivity analysis using CSTR determined its volume for an equivalent bio-oil yield. …”
Get full text

CUPRAC Voltammetric Determination of Antioxidant Capacity in Tea Samples by Using Screen-Printed Microelectrodes by Alina Elena Trofin, Lucia Carmen Trincă, Elena Ungureanu, Adina Mirela Ariton

“…A micropipette was used to release a drop of 50 μL sample on the spotted surface of the SPME sensor/working electrode that was time programmed to function according to the working protocol. …”
Get full text

A New Method Based on Boundary Element Method to Appraise CO2 Geological Storage Potential in Depleted Shale Gas Reservoirs by Junjie Shi, Linsong Cheng, Chong Cao, Renyi Cao, Deqiang Wang, Gaoling Liu

“…Moreover, the results have a high agreement with commercial software for the regular boundary. The sensitivity of relevant parameters is analyzed by this method, and the importance of considering the boundary shape is emphasized. …”
Get full text

Discovery of Antimalarial Drugs from Streptomycetes Metabolites Using a Metabolomic Approach by Siti Junaidah Ahmad, Mohd Badrin Hanizam Abdul Rahim, Syarul Nataqain Baharum, Mohd Shukri Baba, Noraziah Mohamad Zin

“…Metabolomics approach in finding novel therapeutics agent for malaria offers dereplication step in screening phase to shorten the process. The highly sensitive instruments, such as Liquid Chromatography-Mass Spectrophotometry (LC-MS), Gas Chromatography-Mass Spectrophotometry (GC-MS), and Nuclear Magnetic Resonance (1H-NMR) spectroscopy, provide a wide range of information in the identification of potentially bioactive compounds. …”
Get full text

Graph neural network driven traffic prediction technology:review and challenge by Yi ZHOU, Shuting HU, Wei LI, Nan CHENG, Ning LU, Xuemin(Sherman) SHEN

“…With the rapid development of Internet of things and artificial intelligence technology, accurate analysis and prediction of traffic data have become the primary target of intelligent transportations.In recent years, the method of traffic forecasting has gradually changed from the classical model-driven type to the data-driven type.However, how to effectively analyze the spatial-temporal characteristics of road networks through big data is one of the key issues in the traffic prediction process.Spatiotemporal big data analysis is a powerful tool for the traffic prediction.The traffic network can be modeled as a graph network, while the deep learning method can be extended on the graph network.Utilizing graph neural networks, we can build the spatiotemporal prediction model, and obtain the spatial-temporal correlation between the sensor nodes in road networks effectively by using graph convolution, which can significantly improve the accuracy of traffic prediction models.The traffic forecasting technology driven by graph neural networks was explored, and two kinds of traffic prediction models based on the analysis of deep spatial-temporal characteristics were extracted.The actual cases were analyzed and evaluated to discuss the technical advantages and key challenges of graph neural networks in the traffic prediction.The potential issues of graph neural network driven prediction mechanisms were also excavated.…”
Get full text

Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

“…The testing dataset was used for models’ evaluation through its accuracy, sensitivity, specificity, positive and negative predictive values and area under the receiving-operating characteristic curve. …”
Get full text

Vortex gust mitigation from onboard measurements using deep reinforcement learning by Brice Martin, Thierry Jardin, Emmanuel Rachelson, Michael Bauerheim

“…To be optimal, we show that the controller must take as inputs the locations and circulations of the gust vortices, but these quantities are not directly observable from the onboard sensors. We therefore propose to use a Kalman particle filter (KPF) to estimate the gust vortices online from the onboard measurements. …”
Get full text

Augmenting Energy Sustainability of Static Nodes Using Hybrid KGNN-AHP Driven Approach for IoT-Based Heterogeneous WSN by R. Blessina Preethi, M. Saranya Nair

“…As the nodes used in Internet of Things (IoT)- based wireless sensor network (WSN) are constrained by the limited source of energy, contemporary applications incorporate the heterogeneous energy model WSN. …”
Get full text

Controlled Capture of Magnetic Nanoparticles from Microfluidic Flows by Ferromagnetic Antidot and Dot Nanostructures by Reyne Dowling, Mikhail Kostylev

“…The capture of magnetic nanoparticles (MNPs) is essential in the separation and detection of MNPs for applications such as magnetic biosensing. The sensitivity of magnetic biosensors inherently depends upon the distribution of captured MNPs within the sensing area. …”
Get full text

Eel and Grouper Optimizer improvement three-stage algorithm for photovoltaic MPPT by ZiJian Zhou, YanHong Fang

“…Photovoltaic power generation system is extremely sensitive to the change of illumination, when it is obscured by dust, cloud shadows, etc., it will produce a power voltage characteristic curve with multi-peak characteristics, and the traditional Maximum Power Point Tracking (MPPT) technology will fall into the local optimal solution when it meets multiple peaks. …”
Get full text

THE IMPACT OF PROPRIOCEPTION DURING THE TRAINING PERIOD OF MALE JUNIOR II PLAYERS by Seciu Alex-Paul, Ene-Voiculescu Virgil, Popa Roxana-Nicoleta

“…In athletics such as performance sports and games like handball that rely on speed and strength along with agility sensations play a role, in enhancing athletes’ ability to achieve optimal performance outcomes. …”
Get full text

Alteration of Loperamide-Induced Prostate Relaxation in High-Fat Diet-Fed Rats by Sheng-Lung Hsu, Hsien-Hui Chung, I-Hung Chen, Yat-Ching Tong

“…Western blotting analyses were performed for prostate μ-opioid receptors (MOR) and ATP-sensitive potassium (KATP) channel proteins: sulfonylurea receptor (SUR) and inwardly rectifying potassium channel (Kir) 6.2 subunits. …”
Get full text

Application of Multi-Criteria Decision-Making Models for Assessment of Education Quality in Water Resources Engineering by Mohammad Kazem Ghorbani, Nasser Talebbeydokhti, Hossein Hamidifar, Mehrshad Samadi, Michael Nones, Fatemeh Rezaeitavabe, Shabnam Heidarifar

“…Finally, the relative closeness of universities (CC) as a performance evaluation criterion in the form of CC(IUST) = 0.54, CC(AUT) = 0.49, CC(SU) = 0.45, and CC(KUT) = 0.39 was obtained. The sensitivity analysis was performed based on the number and type of Klein’s qualitative criteria on the model, and Fourier series expansion curves were used to better compare the results of the proposed algorithm. …”
Get full text

Piperacillin-Induced Immune Hemolysis Presenting with Tachycardia and Cardiac Arrest by Ghan-Shyam Lohiya, Lilia Tan-Figueroa, Vamsi Krishna

“…Repeated piperacillin exposure may sensitize and predispose patients to PIHA.…”
Get full text

Creating simple predictive models in ecology, conservation and environmental policy based on Bayesian belief networks. by Victoria Dominguez Almela, Abigail R Croker, Richard Stafford

“…These models can be analysed, visualised, and sensitivity tested to assess how information flows through the system's components and provide predictions for future outcomes of the systems. …”
Get full text

Optical Estimation on Pollution Level of Respirable Dust Based on Infrared Transmitting Behavior in Coalmine Fully Mechanized Working Face by Wen-Zheng Wang, Yan-Ming Wang, Guo-Qing Shi

“…Furthermore, an optical channel of 1260–1280 cm−1 (7.937–7.813 μm) which is almost only sensitive to the variation of dust concentration but dull to the diameter change of coal dust was selected to establish the correlation of dust concentration and infrared transmittance. …”
Get full text

Technical note: Recommendations for diagnosing cloud feedbacks and rapid cloud adjustments using cloud radiative kernels by M. D. Zelinka, L.-W. Chao, T. A. Myers, T. A. Myers, Y. Qin, S. A. Klein

“…However, because this method relies on cloud property histograms derived from passive satellite sensors or produced by passive satellite simulators in models, changes in obscuration of lower-level clouds by upper-level clouds can cause apparent low-cloud feedbacks and adjustments, even in the absence of changes in lower-level cloud properties. …”
Get full text

Evaluation of biomarkers for clinical activity of systemic lupus erhythematodes by Valentina Reshkova, Dobroslav Kyurkchiev, Simeon Monov

“…Human IFN-alpha and human sVCAM-1 are sensitivity markers and play an important role in the activity of the disease in the Bulgarian population with SLE.…”
Get full text

Explaining complexity to power. A failed mission? by Gloria Regonini

“…At the heart of Dente’s scientific vision lie theories and methods of policy evaluation that are sensitive to two different sources of complexity: the nature of policy problems and the relationship between the evaluator and the evaluated. …”
Get full text