Establishment of Hyperspectral Prediction Model of Water Content in Anshan-Type Magnetite by Xiaoxiao XIE, Yang BAI, Jiuling ZHANG, Yuna JIA

“…The high water content of iron ore will reduce its machinability, which is not conducive to the smooth progress of mineral processing, sintering, smelting and tailings treatment. …”
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Overproduction of the cyanobacterial hydrogenase and selection of a mutant thriving on urea, as a possible step towards the future production of hydrogen coupled with water treatme... by Théo Veaudor, Marcia Ortega-Ramos, Thichakorn Jittawuttipoka, Hervé Bottin, Corinne Cassier-Chauvat, Franck Chauvat

“…Using a combination of various types of genetic manipulations (promoter replacement and gene cloning in replicating plasmid expression vector), we have overproduced the complex hydrogenase enzyme in the model cyanobacterium Synechocystis PCC6803. …”
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In vitro high-content screening reveals miR-429 as a protective molecule in photoreceptor degeneration by Georgios Petrogiannakis, Irene Guadagnino, Santiago Negueruela, Martina Di Guida, Elena Marrocco, Mariateresa Pizzo, Annalaura Torella, Mariateresa Zanobio, Marianthi Karali, Diego Luis Medina, Sabrina Carrella, Sandro Banfi

“…Adeno-associated viral vector-mediated subretinal delivery of miR-429 in the RhoP23H/+ IRD mouse model preserved electrophysiological responses and was associated with reduced inflammatory processes in the retina. …”
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Local analysis of a single impurity on a graphene Josephson junction by Ignazio Vacante, Francesco M. D. Pellegrino, G. G. N. Angilella, Giuseppe A. Falci, Elisabetta Paladino

“…Its behavior at subgap energies allows one to distinguish elastic and inelastic scattering processes and to identify the magnetic nature of the impurity. …”
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A survey on the state-of-the-art machine learning models in the context of NLP by Wahab Khan, Ali Daud, Jamal A. Nasir, Tehmina Amjad

“… Machine learning and Statistical techniques are powerful analysis tools yet to be incorporated in the new multidisciplinaryfield diversely termed as natural language processing (NLP) or computational linguistic. The linguistic knowledge may be ambiguous or contains ambiguity; therefore, various NLP tasks are carried out in order to resolve the ambiguity in speech and language processing.The current prevailing techniques for addressing various NLP tasks as a supervised learning are hidden Markov models (HMM), conditional random field (CRF), maximum entropy models (MaxEnt), support vector machines (SVM), Nave Bays, and deep learning (DL).The goal of this survey paper is to highlight ambiguity in speech and language processing, to provide brief overview of basic categories of linguistic knowledge, to discuss different existing machine learning models and their classification into different categories and finally to provide a comprehensive review of different state of the art machine learning models with the goal that new researchers look into these techniques and depending on these, develops advance techniques. …”
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SLOWING THE GROWTH OF AN AGGRESSIVE GLIOBLASTOMA CELL LINE BY ENHANCER RNA SILENCING DEPENDS ON THE KNOCKDOWN METHOD by Ekaterina Statsevich, Anastasiia Simonova, Anastasiya Poteryakhina, Uliana Beri, Elvina Bogomolova, Aksinya Uvarova, Matvey Murashko, Elina Zheremyan, Kirill Korneev, Dmitry Kuprash, Denis Demin

“…Enhancer RNAs (eRNAs) are non-coding RNAs that are transcribed from enhancer regions. eRNAs can affect the expression of key genes of various biological processes, including oncogenes. Previously, we conducted a search for an eRNAs that may potentially affect glioblastoma cell resistance to temozolomide. …”
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Air temperature estimation and modeling using data driven techniques based on best subset regression model in Egypt by Ahmed Elbeltagi, Dinesh Kumar Vishwakarma, Okan Mert Katipoğlu, Kallem Sushanth, Salim Heddam, Bhaskar Pratap Singh, Abhishek Shukla, Vinay Kumar Gautam, Chaitanya Baliram Pande, Saddam Hussain, Subhankar Ghosh, Hossein Dehghanisanij, Ali Salem

“…Abstract Air temperature plays a critical role in estimating agricultural water requirements, hydrological processes, and the climate change impacts. This study aims to identify the most accurate forecasting model for daily minimum (Tmin) and maximum (Tmax) temperatures in a semi-arid environment. …”
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Integral Assessment of the Development Level of Electronic Business in the Regions of the Volga Federal District by M. V. Bikeeva, K. V. Belash

“…In particular, at the International Forum “The Digital Future of the Global Economy” (January 31, 2020 Almaty), digitalization of trade processes between the EAEU membercountries became one of the main topics. …”
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Leveraging multi-source data and teleconnection indices for enhanced runoff prediction using coupled deep learning models by Jintao Li, Ping Ai, Chuansheng Xiong, Yanhong Song

“…The Yalong River Basin, characterized by complex hydrological processes and diverse climatic influences, serves as the case study for model validation. …”
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Image Quality Assessment Based on Joint Quality-Aware Representation Construction in Multiple Domains by Xiaobao Shang, Xinyu Zhao, Yong Ding

“…Image quality assessment that aims to evaluate the image quality automatically by a computational model plays a significant role in image processing systems. To meet the need of accuracy and effectiveness, in the proposed method, complementary features including histogram of oriented gradient, edge information, and color information are employed for joint representation of the image quality. …”
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Data science techniques to gain novel insights into quality of care: a scoping review of long-term care for older adults by Ard Hendriks, Coen Hacking, Hilde Verbeek, Sil Aarts

“…Text-mining/natural language processing (NLP) and support vector machines (SVMs) were the most deployed methods; accuracy was the most used metric. …”
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Dunkl Linear Canonical Wavelet Transform: Concentration Operators and Applications to Scalogram and Localized Functions by Saifallah Ghobber, Hatem Mejjaoli

“…These research results cover in particular the classical and the Hankel settings, and have potential application values in fields such as signal processing and quantum physics, providing a new theoretical basis for relevant research.…”
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Design and Implementation of Stock Market Prediction System for Used Cars in Nigeria by A. A. Ibrahim, A. A. Alabi, O. A. Ayilara-Adewale, F. R. Olokun-Olukotun

“…The model was designed by training and testing using pre-processed data. Python programming language was used in the implementation. …”
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MSCPUnet: A multi-task neural network for plot-level crop classification in complex agricultural areas by Kedi Fang, Shengwei Zhang, Yongting Han, Lin Yang, Meng Luo, Lu Liu, Qian Zhang, Bo Wang

“…This paper first proposes a novel multi-task neural network, Multi-task Multi-Scale Convolutional Pooling Unet (MSCPUnet), for extracting vector plots. MSCPUnet is based on the Unet model and enhances performance through the incorporation of attention mechanisms, multi-scale pooling layers, and a multi-task learning approach for parallel processing. …”
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Artificial Bee Colony Algorithm Based on the Division Between Exploration and Exploitation and Its Application in Esophageal Cancer Prediction by WANG Yingcong, YAN Jun, SUN Junwei, WANG Yanfeng

“…However, the basic ABC algorithm prioritizes exploration during the search process and performs poorly in exploitation, leading to slow convergence speed and low solution accuracy. …”
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Traffic congestion prediction based on GPS trajectory data by Shuming Sun, Juan Chen, Jian Sun

“…Since speed sensors are not as widely used as GPS devices, the traffic congestion level is predicted based on processed GPS trajectory data in this article. Hidden Markov model is used to match GPS trajectory data to road network and the average speed of road sections can be estimated by adjacent GPS trajectory data. …”
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Comparison of Texture Features Used for Classification of Life Stages of Malaria Parasite by Vinayak K. Bairagi, Kshipra C. Charpe

“…Malaria is a vector borne disease widely occurring at equatorial region. …”
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Dimensional Analysis and Optimization of 3-DOF Parallel Bionic Mechanical Leg by Wang Xiaolei, Jin Zhenlin, Li Xiaodan, Liu Xiang

“…The dimension synthesis and optimization about the mechanical leg structure is completed. The position vector model of the mechanical legs is established. …”
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Topology Optimization Design of the Planar 3-RPR Fully Compliant Parallel Mechanism by Sha Sai, Zhang Rongxing, Zhou Lei, An Ziming

“…Based on the differential kinematics of parallel mechanism displacement vector differential mapping relation between input and output,through establishing a planar 3-RPR topology optimization model of fully compliant parallel mechanism（ SIMP interpolation model）,the solution is optimized by using the optimization criterion method（ OC） algorithm,and by using the Heaviside filtering technology,the checkerboard phenomenon is restrained and processed. …”
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Robust Fuzzy Logic Stabilization with Disturbance Elimination by Kumeresan A. Danapalasingam

“…In this paper, a mathematical derivation is carried out to prove that the controller is able to achieve asymptotic stability by processing state measurements. Robustness here refers to the ability of the controller to asymptotically steer the state vector towards the origin in the presence of model uncertainties and a disturbance input. …”
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