A case of laryngeal leishmaniasis presenting as hoarseness in an Ethiopian patient: a case report by Mohammedsefa Arusi Dari, Zelalem Tadesse Wondimu, Melaku Abay Muluneh, Martha Mekonen Gdey, Adil Fekede Ayele

“…The infection can spread through zoonotic or anthroponotic transmission, depending on the species, with the phlebotomine sandfly serving as the primary vector. Leishmaniasis is endemic in tropical regions of Asia and Africa. …”
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Analysis of junior servers approaching a senior server in the multi-server queueing-inventory system by K. Jeganathan, V. Anzen Koffer, K. Prasanna Lakshmi, N. Anbazhagan, Gyanendra Prasad Joshi, Woong Cho

“…We analyze the performance of such a system by modeling it into a quasi-birth-and-death process, and its steady-state probability vector has been computed. …”
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PDAA: An End-to-End Polygon Dynamic Adjustment Algorithm for Building Footprint Extraction by Longjie Luo, Jiangchen Cai, Bin Feng, Liufeng Tao

“…PDAA dynamically adjusts the number of vertices to adapt to the geometric characteristics of different buildings, while simplifying the prediction process and reducing computational complexity. Experiments on public datasets such as WHU, Vaihingen, and Inria show that PDAA significantly outperforms existing methods in terms of average precision (AP) and polygon similarity (PolySim). …”
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Old Drugs, New Indications (Review) by I. I. Miroshnichenko, E. A. Valdman, I. I. Kuz'min

“…The drug can be used in the treatment of one disease and for the prevention and treatment of another pathological process. This is possible due to the repurposing of medicines. …”
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The Use of Minimization Solvers for Optimizing Time-Varying Autoregressive Models and Their Applications in Finance by Zhixuan Jia, Wang Li, Yunlong Jiang, Xingshen Liu

“…Time series data are fundamental for analyzing temporal dynamics and patterns, enabling researchers and practitioners to model, forecast, and support decision-making across a wide range of domains, such as finance, climate science, environmental studies, and signal processing. In the context of high-dimensional time series, the Vector Autoregressive model (VAR) is widely used, wherein each variable is modeled as a linear combination of lagged values of all variables in the system. …”
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Understanding students’ sentiment from feedback with a new feature selection and semantics networks by Tran Anh Tuan, Dao Thi Thanh Loan, Nichnan Kittiphattanabawon

“…In this study, we propose the Student Sentiment from Feedback (SSF) framework, which includes four main procedures: pre-processing, feature selection, classification, and theme finding. …”
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Using text embeddings for deductive qualitative research at scale in physics education by Tor Ole B. Odden, Halvor Tyseng, Jonas Timmann Mjaaland, Markus Fleten Kreutzer, Anders Malthe-Sørenssen

“…Using a natural language processing technique known as text embeddings, we create vector-based representations of texts in a high-dimensional meaning space within which it is possible to quantify differences in meaning as vector distances. …”
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Firefly Algorithm based Feature Selection for Arabic Text Classification by Souad Larabi Marie-Sainte, Nada Alalyani

“…Keywords: Arabic Natural Language Processing, Feature Selection, Firefly optimization method, Text Classification…”
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THE "LARGE BARYON PUMP OF THE EARTH" AS A NATURAL IMAGE OF THE "TREE OF LIFE" AND AN OBJECT OF ENVIRONMENTAL LAW, WHICH IS INTEGRATED WITH THE NATURAL ENVIRONMENT OF MAN by Mykhaylo O. Baymuratov, Volodymyr P. Ozhereliev

“…Currently, the world structure that has emerged can be imagined as a complex global-regional legal system, in the regulatory field of which there is a process of deep integration of international public law and municipal law. …”
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Mechanism Analysis of an Abrupt Torrential Rain Event under Weak Synoptic Forcing by Mingjuan LI, Damei GUO, Dian FENG, Kuifeng ZHAO, Jiahuimin LIU, Liwei QU

“…On July 18， 2021， abrupt rainstorms， torrential rain and local torrential rain occurred in areas of northeastern Xi'an and southern Weinan.The global numerical model and multiple Meso-scale numerical models failed to predict this torrential rain process.Based on data of aerological sounding， surface observation， ERA5 reanalysis， TBB data of FY-2G satellite， lidar wind vector data of Lintong station， radar data of Jinghe station， and microwave radiometer data， circulation patterns， environmental conditions and Meso-scale convective system evolution are investigated in this paper to enhance the understanding of mechanisms of this type of torrential rain and improve its predicting accuracy.Results show that the abrupt torrential rain process occurred under the forcing of a weak synoptic system， on the edge of the continental high at 500 hPa.There were no shear lines， warm advections and high-speed wind transporting water vapor at 700 hPa and 850 hPa， and neither cold front nor warm front on surface.Before the torrential rain process， on environmental fields， vertical wind shear was weak from 0 to 6 km on T-lnP chart， and 0 ℃-level was high， which was conducive to formation of deep warm clouds.A light rain appeared on surface， increasing atmospheric humidity near ground and lowering atmospheric lifting condensation level and lower cloud base， which was favorable for developing Meso-scale convective systems and improving precipitating efficiency.On radar wind profile map and wind lidar map， the low-level easterly wind was increased to 6~10 m·s-1， transferring abundant water vapor and energy to the rainstorm area， giving the atmosphere a certain amount of convective available potential energy（CAPE）.Satellite image， ERA5 reanalysis data and microwave radiometer data show a weak ascent was found in the middle and low levels which produced a deep wet layer and a large value of total atmospheric precipitable water.TBB data indicates that quasi-stationary isolated Meso-β-scale convective systems caused the abrupt torrential rain.On radar composite reflectivity factor map， the heavy rainfall was induced by a Meso-γ-scale and Meso-β-scale convective cell or a Meso-β-scale convective system.The Meso-γ-scale convective cell developed near Lishan Mountain with loose structure and organization.The maximum center of reflectivity factor demonstrates a consistently vertical structure from top to bottom with a low centroid， showing characteristics of highly efficient warm cloud precipitation.The abrupt torrential rain was caused by convections triggered by interaction of the ground convergence line induced by weak cold air on surface， topographic uplift of the Lishan Mountain and funneling effect of Bahe Valley collectively.The initial heavy rainfall formed a cold pool， then， the outflow of the cold pool generated new convergence lines around， triggering new convective systems.The Meso-β-scale convective system on the northeast side of the Jinghe River propagated backwards and moved slowly southwestwards.In the Meso-β-scale convective system， multiple new Meso-γ-scale convective cells developed and created a “train effect” over Jinghe River， resulting in this torrential rain process.For prediction under the forcing of weak synoptic systems， it is necessary to strengthen the understanding of its formation mechanism and the use of new observation data， pay close attention to the influence of early weak precipitation on near-surface humidification and lifting condensation level， water vapor and unstable energy transport to rainstorm areas by increased low-level wind， and the triggering effect of weak cold air on the ground and terrain， combined with maximum values predicted by a number of Meso-scale numerical models， comprehensively consider the possibility of abrupt torrential rain.…”
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Machine learning-based radiomics for differentiating lung cancer subtypes in brain metastases using CE-T1WI by Xueming Xia, Wei Du, Qiheng Gou

“…Through a multistep selection process, a refined subset of 15 optimal radiomic features was identified for model training. …”
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SELF-EDUCATION AS A PEDAGOGICAL PROBLEM by Oleksandr L. Shums’kyi, Ol’ha O. Shums’ka

“…It has been revealed that in modern didactics self-education is defined as an activity process, and activity is defined as the basis of self-education. …”
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Experimental evaluation of polymer construction materials: effects of acrylic resin and a fiberglass-based composite upon cytokine production by A. P. Godovalov, A. B. Astashina, A. A. Bazhin, T. A. Drokina

“…It makes sense to evaluate probable hazards of inflammatory process which could be activated when using structural polymer materials and composites in dental practice. …”
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A multi-model approach for estimation of ash yield in coal using Fourier transform infrared spectroscopy by Sameeksha Mishra, Anup K. Prasad, Arya Vinod, Anubhav Shukla, Shailayee Mukherjee, Bitan Purkait, Atul K. Varma, Bhabesh C. Sarkar

“…Abstract The ash yield resulting from the alteration of inorganic elements during the processes of combustion and gasification of coal stands as a crucial quality indicator for coal. …”
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Software Implementation of the Epps-Pulley Criterion in Matlab Modeling Environment by A. A. Tipikin, A. A. Prusakov, N. A. Timoshenko

“…An assessment of the computational efficiency of the methods showed that the cyclic approach is about three times higher than the matrix-vector approach in terms of consumed time, which is presumably associated with the processing of insignificant elements in triangular matrices when performing component-by-component operations. …”
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Local over-expression of VEGF-DΔNΔC in the uterine arteries of pregnant sheep results in long-term changes in uterine artery contractility and angiogenesis. by Vedanta Mehta, Khalil N Abi-Nader, Panicos Shangaris, S W Steven Shaw, Elisa Filippi, Elizabeth Benjamin, Michael Boyd, Donald M Peebles, John Martin, Ian Zachary, Anna L David

“…Here we examined the effect of Ad.VEGF-DΔNΔC vector encoding a fully processed form of VEGF-D, on the uteroplacental circulation.…”
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Progress towards elimination of onchocerciasis transmission in Mali: A "pre-stop MDA" survey in 18 transmission zones. by Housseini Dolo, Michel Emmanuel Coulibaly, Moussa Sow, Yaya Ibrahim Coulibaly, Mama Doumbia, Moussa Sangare, Abdoul Sanogo, Benoit Dembele, Boubacar Guindo, Mamadou Coulibaly, Modibo Keita, Lamine Soumaoro, Dansine Diarra, Boubacar Dicko, Louise Hamill, Seydou Doumbia, Hamadoun Sangho, Yacouba Sangare, Yaobi Zhang, Jamie Tallant, Alpha Seydou Yaro, Charles Mackenzie, Thomas B Nutman, Daniel Boakye

“…<h4>Background</h4>Onchocerciasis control activities in Mali began in 1975 with vector larviciding carried out by the Onchocerciasis Control Programme (OCP), followed by the distribution of ivermectin from 1998 until the closure of the OCP in 2002. …”
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Dynamic overmodulation strategy based on torque and flux optimal tracking for DTC‐SVM of surface‐mounted PMSM drives by Peihe Li, Anwen Shen, Qipeng Tang, Xin Luo, Jinbang Xu

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Hyperspectral estimation of chlorophyll density in winter wheat using fractional-order derivative combined with machine learning by Chenbo Yang, Chenbo Yang, Meichen Feng, Juan Bai, Hui Sun, Rutian Bi, Lifang Song, Chao Wang, Yu Zhao, Wude Yang, Lujie Xiao, Meijun Zhang, Xiaoyan Song

“…Hyperspectral monitoring models for winter wheat ChD were constructed using 8 machine learning algorithms, including partial least squares regression, support vector regression, multi-layer perceptron regression, random forest regression, extra-trees regression (ETsR), decision tree regression, K-nearest neighbors regression, and gaussian process regression, based on the full spectrum band and the band selected by competitive adaptive reweighted sampling (CARS). …”
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Authenticity Recognition of Rice Varieties Based on Polarization Imaging Technology by Jie FU, Yue WU

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