bluuebunny/crossref_metadata_2025 huggingface dataset:
Generation of a Personalized Headcap 3D Model for Encephalography with Dry Electrodes
Authors: Chiruhin D.A. , Ryabinin Konstantin Valentinovich
Published: November 2023

The article presents a method for generating a 3D model of a collapsible headcap for dry electrodes of an electroencephalograph based on the parameters of a human head. A headcap for electrodes that precisely fits the head of a particular person is essential in the development of personalized human-machine brain-computer interfaces. A mathematical model is proposed, based on the approximation of the head shape using an ellipsoid and the placement of sockets for electrodes according to the international universal system 10-20. 3D bridges based on Bezier curves are used to connect sockets. The proposed method is implemented in the FreeCAD computer-aided design environment using the Python programming language. The headcap model has been generated. The accuracy of electrode placement on the headcap was verified using a 3D scan of a head obtained with a Calibry Mini scanner. The physical characteristics of the headcap are verified by printing it on a consumer-grade 3D printer. The resulting headcap is better suited for the person whose head parameters were taken than standard headcaps and requires less material and time for 3D printing.
Blind Image Deblurring Using Multi-Task Convolutional Neural Network and Spatially Variant Recurrent Neural Network
Authors: Anisimovskiy V.V. , Penkin Maksim Alexandrovich , Dorokhov E.A. , Gruzdev A.M. , Zavalishin S.S. , Kurilin I.V.
Published: November 2023

We present a novel method of blind image deblurring, capable of handling spatially variant blur caused by various reasons such as camera shake and object motions. Due to the spatially variant nature of the complex blur, our deblurring method includes both spatially variant and spatially invariant components. Namely, we utilize hybrid neural network consisting of a convolutional neural network and a spatially variant recurrent neural network trained in end-to-end manner. Recurrent neural network is used as a deconvolution operator performed on feature maps extracted from the input image by the convolutional neural network, while per-pixel weights of the recurrent neural network are also produced by the same convolutional neural network, making it solve both tasks at the same time. Such hybrid and multi-tasking design allows us to achieve both low computational complexity and high deblurring quality. Quantitative and qualitative evaluations on the widely used GoPro dataset demonstrate that the proposed method provides a good trade-off in terms of complexity and quality against state-of-the-art algorithms.
Comparative Analysis of One-class and Two-class Support Vector Machines for Detecting Textural Anomalies in Leather Images
Authors: Skripkina D.V. , Levitin A.V.
Published: November 2023

The article presents a comparative analysis of the one-class (one-class SVM) and two-class (twoclass SVM) support vector machine for automating the detection of defects in skin images caused by its linear deformation. The task of detecting textural anomalies of the skin is very relevant, and is used in all industries related to the processing of leather into leather products. Real skin images were used in the research. Abnormal textures were obtained as a result of linear computer deformation (stretching and compression) of the original samples. Local binary patterns (LBP) are used as texture features. The evaluation of the quality of work is carried out using the proportion of correct answers of the algorithm. The influence of the deformation depth of anomalous samples on the quality of one-class and two-class methods in the absence of interference and in the presence of salt-pepper interference is analyzed.
Method of Optical Information Support for Detecting Artifacts by f Robotic System in the Infa-red Range on a Complex Background
Authors: Yakimenko Yu.I. , Yakimenko I.V.
Published: November 2023

A method is proposed for opto-information support for detection in the infrared range using a passive optoelectronic system of an unmanned aircraft against a complex background formed by atmospheric radiation in the far infrared range (8–13 ?m). The atmospheric background against which an unmanned aerial vehicle is detected is formed by the radiation of the cloudy atmosphere when observed from the earth's surface. Of particular interest is the complex background created by cumulus clouds of various magnitudes or other classes of clouds that have breaks. The following assumptions are made: a short-focus optical-electronic system has a wide field of view, video information about the artifact and the background characteristic is presented in binary form. The processed video stream is a two-dimensional array, the elements of which contain information about the level of radiance of the radiation in the selected direction. The emphasis is on the need to monitor changes in the structure of the emitting background and the absence of the need to process each frame of the video stream.
Combining an Optical Image of an Object with a Radiometric one and Errors Estimation
Authors: Klochko V.K. , Gudkov S.M.
Published: November 2023

An algorithm for combining images obtained in a combined optical-radiometric object observation system is described. The algorithm is based on combination of optical and radiometric image matrices, segmentation of optical image and transmission of radiometric image temperature to the optical image segments. An example of combining images is shown, from which it follows that the joint processing of optical and radiometric images makes it possible to observe the thermal image of objects with the spatial resolution of optical image while preserving the radio brightness characteristics of radiometric image of millimeter wavelength range. A comparative calculation of errors in determining the directions to the object of observation is carried out. A comparative assessment of errors of optical and radiometric systems is given, showing that in the conditions of considered example, the error in determining the spatial position of object's center at a known range using an optical system is ten times less than using a radiometric one. The concept of joint operation of two surveillance systems is proposed, which allows to increase the speed of radiometric system when forming the object's image by determining the object's center by using the optical system.
Image Style Transfer With a Group of Similar Styles
Authors: Ponamaryov Valeriy , Kitov Victor
Published: November 2023

Image style transfer is a widely used applied task of automatic redrawing of the source image (content) in the style of another image (setting the target style). Traditional style transfer methods provide only a single stylization result. If the user does not like it, for example, due to artifacts that appear during styling, then he has to choose another style. The paper proposes a modification of the styling algorithm, which gives a variety of styling results with one style, and also improves the average quality of styling by using not only style information from the original style image, but also information from images that have a similar style.
Utilization of Tensor Decompositions for Video-compression
Authors: Matveev Sergey Alexandrovich , Kurilovich Aleksandr A.
Published: November 2023

In this work, we provide a study of video compression with the use of tensor train and Tucker decomposi- tions. We measure the quality of compression with classical PSNR and SSIM metrics. Our approach allows us to control the quality of compressed video through the analytical evaluation of tensor decomposition ranks using the target value of PSNR. We achieve this aim because the PSNR is naturally related to the value of relative error in the Frobenius norm, which can be controlled for both tensor train and Tucker decompositions. In case of tensor train decomposition, we evaluate the idea of adding additional virtual dimensions and show that this trick allows us to improve the quality of compression without adding non- negligible additional errors. We discuss the advantages and visible artifacts introduced by the tensor-based algorithms to video compression and compare our results with industrial standards.
Method for automatic initialization of trainable active contours for instance segmentation in histological images
Authors: Yakovlev Nikita , Khvostikov Alexander Vladimirovich , Krylov Andrey Serdjevich
Published: November 2023

The method of trainable active contour is one of the semi-automatic segmentation methods that can be applied to segment glands in histological images. In this paper, we propose a method for automatic initialization of trainable active contour model, which makes the segmentation method fully automatic. Using a U-Net like architecture, a preprocessed image segmentation masks is predicted for the input image, from which initial approximations of contours are calculated for each gland. The proposed method correctly marks 96.2 % part for the glands on the test set of the PATH-DT-MSU S1-v2 dataset. As a result, we get initial approximations located inside each gland in the image.
Super-resolution for Whole Slide Histological Images
Authors: Sun Zhongao , Khvostikov Alexander Vladimirovich , Krylov Andrey Serdjevich , Krainiukov Nikolai
Published: November 2023

Histological images serve as crucial tools in the diagnosis and treatment of diverse afflictions. However, the acquisition of images exhibiting exceptional resolution whole slide images, WSIs, capturing intricate textures and vital nuances, can present a formidable challenge, primarily due to the requirement of expensive and intricate apparatus, proficient personnel, and considerable time commitments. To tackle this predicament, it is important that we conceive an effective and precise framework to increase the resolution of whole slide histological images. There are several algorithms used for super-resolution, including interpolation-based, deep learning based and bayes based algorithms. After scrutinizing and dissecting the available super-resolution models and algorithms, we arrived at the conclusion that the most suitable approach for histological WSIs would be to fine-tune the already trained Real-ESRGAN model to reconstruct histological images and apply it in a patch-based way. For histological WSIs, it is typical to have a lagre number of empty areas that do not contain tissue. To circumvent the impact of these empty areas on the model’s efficiency, we filter the dataset using Shannon’s information entropy. Furthermore, we have modified the structure of the loss function to optimize the reconstruction of low-level details of histological images. In this study, we fine-tune the pre-trained Real-ESRGAN model using the histological image dataset PATH-DT-MSU. It enabled us to outperform all preexisting models in terms of reconstructing low-level details in WSI histological images. Moreover, without retraining the model, we have tested it on additional histological image datasets, thereby proving its high generalization ability.
Method for searching blur areas in histological images
Authors: Nazarenko G.S. , Nasonov Andrei Vladimirovich , Krylov Andrey Serdjevich
Published: November 2023

The article is devoted to the problem of detecting blurred areas in high-resolution full-slide histological images. The proposed method is based on the use of two approaches: blur detection using multiscale analysis of discrete cosine transform coefficients and assessing the degree of sharpness of object boundaries in the image. The effectiveness of the algorithm is verified on synthetically blurred images as well as real full-slide images from the PATH-DT-MSU dataset.
Cryo-Electron Microscopy Image Registration Using Projection Method for Fourier-Bessel Transform Computation
Authors: Anoshina Nadejda Alekseevna , Sorokin Dmitri Vasilievich
Published: November 2023

Projection alignment in single particle cryo-electron microscopy is an important step of obtaining a high-resolution three-dimensional model. To solve this problem, one needs a method that can quickly process thousands of projection images. In this paper, we propose a single particle cryo- electron microscopy image registration approach based on the calculation of the Fourier-Bessel transform using the projection method, namely, the expansion of the Hankel transform into a series of its eigen functions - the Laguerre functions. The proposed projection method significantly speeds up the calculation of the registration parameters. The proposed approach was evaluated on the real and synthetic data with different level of noise and compared to the existing approaches. The experiments showed that the proposed approach has a high registration quality especially for noisy data. In addition, the proposed algorithm significantly accelerates the computations compared to the original registration method based on Fourier-Bessel transform.
Assessment of the Quality of Color Reproduction of 3D Medical Images
Authors: Makazhanov R.E. , Kuryachij M.I. , Kamenskiy A.V.
Published: November 2023

This article discusses the problem of assessing the quality of color reproduction in 3D medical images. In the context of medical images, accurate and appropriate color reproduction plays an important role in correct interpretation and diagnosis. The article provides an overview of existing standards and metrics used to evaluate color reproduction in the field of medical imaging. Aspects such as the choice of color space, the accuracy of color transmission, and consistency between different display devices, human perception of color and other factors affecting the quality of color reproduction are considered. Testing and improvement of the qualitative characteristics of the color reproduction of the monitor using software and hardware to standardize its color parameters has been performed. The color distance of the monitor in the CIE L*a*b* color space before calibration was 14.84, and after calibration 1.23.
Digital Earth and Metaverse Concepts: Correlation and Development Trends
Authors: Panin Valeri Olegovich
Published: November 2023

The article is devoted to a comparative analysis of the changes that have occurred over the past two years in the content of two ideological concepts of web 3.0 - the metaverse and the Digital Earth, both of which were introduced to the world in 1992, but have been developed separately until now. The Digital Earth project was developed with the support of different states, while the meta-universe was conceptualized and promoted only by a small community of private actors until recently. The article analyzes the meaningful change of the term «metaverse» from the middle of 2022 to 2023, draws conclusions about the prospects of further development of this concept taking into account its synergetic development together with the concept of Digital Earth, as well as the correlation of the terms meta-universe and Virtual Earth at the current moment of time.
Overview of Open Well Datasets
Authors: Makienko D.O. , Safonov I.V.
Published: November 2023

Recently, the number of studies devoted to the use of machine learning methods in geophysics has been increasing. Examples of such studies include the prediction of rock properties and separation of rock types according to quantitative characteristics. Annotated datasets are required to build machine learning based models. The purpose of this paper is to review open labeled well datasets and some research used these datasets. Datasets from competitions in machine learning for geophysical problems are analyzed, as well as other publicly available sources of open well data. The paper considers datasets containing well logging, rock images, laboratory research results, as well as labeled zonation by lithotypes.
Intelligent Algorithms for Planning and Performing Flight Missions of an Unmanned Aerial Vehicles Based on Neural Networks
Authors: Gromov Yuri Yurievich , Ishchuk Igor Nikolaevich , Telnykh Bogdan Konstantinovich
Published: November 2023

Unmanned aerial vehicles are widely used in various industries, such as aerospace, geodesy, cartography, remote environmental monitoring, and for military purposes. However, currently there are a number of factors that have a negative impact on the successful performance of special tasks of unmanned aerial vehicles due to the fact that currently remote-controlled means based on the «natural intellect» of the operator prevail in unmanned aerial vehicles and the lack of transition to the most autonomous actions, such as route planning, bypassing flight blocking zones, forecasting navigation situation, as well as search, recognition and classification of remote monitoring objects. To effectively perform tasks, it is necessary to develop intelligent algorithms to automate the process of planning and executing mission tasks. The article discusses the basic principles of neural networks and their application in the tasks of route planning and flight control for remote monitoring of an unmanned aircraft.
Classification of Hyperspectral Remote Sensing Images Using High-level Features Based on Empirical Modes
Authors: Pukhkii Konstantin Konstantinovich , Turlapov Vadim Evgenjevich
Published: November 2023

The role of empirical mode decomposition (EMD) in the synthesis of high-level features for the classification of hyperspectral remote sensing images is studied. The studies were performed on the material of the well-known HSI "Moffett Field". A 1D-EMD algorithm adapted to the needs of HSI analysis was used. It has been established that: 1) class reference in the form of only a reference HSI-signature of a class sample cannot be a sufficient feature for classification on the full "Moffett Field" HSI; 2) the extention of an HSI-object class standard, consisting of a reference signature (spectral characteristic) of a class sample, even by one of the first empirical modes, either dramatically increases the contrast between the standards, or reveals the indistinguishability of the standards in the global coordinate system (belonging to the same class); 3) empirical modes are able to provide the necessary refinement of the class standard for a variety of HSI Moffett Field objects; 4) formation rules for a high-level spectral feature from empirical modes are proposed.
Constructive Geometry of some Algebraic Curves Represented by Splines in CAD
Authors: Boykov Aleksey Aleksandrovich
Published: November 2023

The problem of representing segments of some algebraic curves (curves of the second order and cubic parabolas) is solved using spline curves of CAD systems – Bezier curves and rational splines. Algorithms are being developed for constructing curves, mainly cubic parabolas, according to given conditions in the representation by Bezier curves of 3rd order. The concepts of special pencils of cubic parabolas of the first and second kind are introduced, their properties and application to the construction of cubic parabolas are shown. A way to representing cubic splines in a CAD system is proposed. The representation of arcs of conic curves, as well as arcs of Bezier curves using rational splines is shown. The developed algorithms were used to create a model of the canal surface.
Methods of Calibration and Correction of Geometrical Distortion and Photosensitivity of Car Rear View Camera
Authors: Birukov Еlissey Dmitrievich , Barladyan Boris Khaimovich , Shapiro Lev Zalmanovich , Voloboy Alexey Gennadievich
Published: November 2023

The paper considers interactive algorithms for constructing transformations of images obtained from a car rear view fisheye camera to images suitable for helping car driver with reverse movement. Two variants of such algorithms are reviewed, both of them use independent transformations along horizontal and vertical axes instead of methods using camera’s radial symmetry. Described algorithms have two different implementations: one integrated into CATIA CAD system is intended for initial development, debugging and testing, and another one built into camera digital processor for final usage. Also description of additional testing algorithms for rearview camera is provided – algorithm for controlling geometrical transformations and algorithm for controlling image contrast in insufficient ambient light conditions. These algorithms are implemented only as a plugin to CATIA CAD system.
Optimized Placement of Irregular Shapes Based on the Selection of the Best Orientation Variants for the of Orthogonal Polyhedra
Authors: Chekanin Vladislav Alexandrovich
Published: November 2023

The article is devoted to improving the quality of solutions to NP-hard problems of optimized placement of flat and three-dimensional objects. To quickly build a layout of a large number of objects of irregular shape, the problem of packing orthogonal polyhedra obtained by voxelization of the original objects. A greedy heuristic is proposed that implements the choice of the best orientation variant for the object, in which the resulting layout will be the densest in comparison with other available orientation variants. An analysis of the effectiveness of applying the greedy heuristic on the problems of flat figured cutting and packing of three-dimensional objects of irregular shape is carried out. It is shown that the proposed greedy heuristic provides very fast high quality solutions. The results of testing the greedy placement heuristic when used as part of a genetic algorithm for optimizing solutions to the layout problem are presented.
Development and Improvement of C3D©FairCurveModelermethods and Applications
Authors: Muftejev V.G. , Ziganshina F.T. , Gumerov V.I.
Published: November 2023

Based on C3D©FairCurveModeler, universal and specialized applications are developed on the platforms of CAD systems and mathematical systems. The article shows an approach to structuring applications that provides the possibility of invariant use of the same COM-component in all applications. This structure makes it easy to migrate the application from the AutoCAD platform to the BricsCAD platform. The command for constructing the Sectrix of Maclaurin in C3D©FairCurveModeler is improved. Formulas for calculating the first and second derivatives are determined. B-spline curve of the 8th degree is isogeometrically constructed on the Hermite geometric determinant. A third order algebraic curve (cubic curve) is explored with the aim of using it to model high quality curves in C3D©FairCurveModeler. A program is developed for calculating the cubic curve equation at 9 points and displaying it as a dense set of curve points. The possibility of isogeometric construction of a cubic curve on a polyline of 9 points is shown, subject to weak restrictions on the shape of the polyline. Plans are made for the further development of cubic curve based methods
Digital Twin Metamodeling
Authors: Razumowsky A.I.
Published: November 2023

The paper presents a method of developing digital twins (DTs) by creating special cognitive shell- metamodels that allow the creation, correction, scaling and implementation of arbitrary complexity of DTs of productions and their products. The method of cognitive matamodeling of DTs will allow to integrate the main properties of the software of DTs: 3D-modeling, accounting of functioning and dynamics of changes, management of configurations of DTs, monitoring of communication relations, calculation of mass and inertial characteristics, storage and visualization of chronicles of all operational and dynamic activities. This approach will add flexibility to the chain of interaction: human- DTs- communication channel- physical object, which in turn will eliminate the gap between the stages of development and implementation, as well as the scaling of the project. The use of metamodels can bring all parties involved in development and operation closer together in terms of time and location.
Predictive Analysis of Resource Requirements of GIS Software in the Context of CALS Technologies
Authors: Filinskikh A.D. , Khranilov Valery Pavlovich
Published: November 2023

Application of the model of computing resources and their monitoring algorithms enables the forecast of efficiency of computational tools to support the learning process and to optimize their economic parameters. These allow the monitoring to take reasonable expectation organizational decisions related to the control of computing resources, that is, modernization and redistribution of resources of hardware and software information technologies designed to support the CALS-technology.
Using qr Codes to Transfer Geometric Models
Authors: Kurushin E.A.
Published: November 2023

Quick Response code encodes text information that can be specified in different formats, such as a link, contact information, payment details, etc. Such codes are widely used in the modern world, and the means of recognizing them is often a common smartphone. Such codes are widely used in the modern world, and the means of recognizing them is most often an ordinary smartphone. 3D models in turn require specialized software to read and interact with them. As a result of this work, the geometric model is transferred to the information system by means of qr-code, which is a link to this resource. The text description of the geometrical model in the obj file format is converted to the x-www-form-urlencoded format and is passed by GET-parameter. When loading the page by QR code in client scenarios data processing and subsequent visualization with the help of WebGL technology with the use of three.js library takes place. Applying this approach allows to transfer a geometric model for its visualization and interaction with it without specialized software, requiring only a browser pre-installed in every OS.
Gender-specific Effect on the Perception of Information in a Graphical Interface Under Physical Stress
Authors: Malysheva V.N. , Cherepennikov G.A. , Yanchus Viktor Edmundasovich
Published: November 2023

This paper presents a study of the impact of gender differences on information perception features in graphical interface, in the field of peripheral vision, under physical activity. The study of information perception under stress can extend the field of information display in the graphical interface and have practical applications in various spheres. The study uses a technique using eye- tracking technology to record eye movements. The experiment examines the influence of different factors such as color, icon size, gender and physical activity. The results of the experiment were processed using mathematical statistical methods. The degree of physical activity was determined using a device that recorded the heart rate. The technique was tested on a limited group of subjects, and the data obtained revealed a statistically significant dependence of viewing parameters on factors of color, size, physical activity and gender.
Scientific achievements of N.D. Vvedenskaya, related to the work at Keldysh Institute of Applied Mathematics
Authors: Afendikova Nadezhda Gennadievna
Published: November 2023

The work is dedicated to Nikita Dmitrievna Vvedenskaya, a mathematician, a well-known person in the mathematical circles of Moscow, who lived a long and productive life. The part of Vvedenskaya's contribution to science related to her work at the Keldysh Institute of Applied Mathematics (KIAM) is described. Vvedenskaya proposed in the 60s computational algorithms for solving problems of the theory of the laminar boundary layer. The results obtained have become widely cited classics. Her work with co-authors from KIAM on the problem of flowing around bodies with a viscous incompressible fluid and along currents modeling atmospheric processes is the basis for further research and is world famous.
Task Assignment of UAV Swarms Based on Auction Algorithm in Poor Communication Environments
Authors: Chen Zihao , Li Juan , Liu Chang , Li Jie
Published: November 2023

Poor communication environments always lead to unstable communication in unmanned aerial vehicle swarms. To solve the problem of task assignment in poor communication environments, this study proposed an information fusion strategy (IFS) based on information integrity and authenticity. The proposed IFS was embedded into the classical sequential and the Prim assignment and its generalization (G-Prim) decentralized task assignment algorithms, and these two improved variants with the proposed IFS were denoted as sequential auction with IFS (Seq-IFS) and G-Prim-IFS, respectively. The Bernoulli and Gilbert–Elliott models, which can model communication delay and packet loss, were adopted to describe unstable communication channels. A series of test instances with different swarm sizes and levels of communication channel reliability was used to test the performances of Seq-IFS and G-Prim-IFS in their original forms. Numerical experimental results demonstrated that the proposed Seq-IFS and G-Prim-IFS significantly outperformed their original versions in most test instances, particularly in cases with low communication environments.
ASCNet: Attention Mechanism and Self-Calibration Convolution Fusion Network for X-ray Femoral Fracture Classification
Authors: Zhang Liyuan , Liu Yusi , He Fei , Tang Xiongfeng , Jiang Zhengang
Published: November 2023

X-ray examinations are crucial for fracture diagnosis and treatment. However, some fractures do not present obvious imaging feature in early X-rays, which can result in misdiagnosis. Therefore, an ASCNet model is proposed in this study for X-ray femoral fracture classification. This model adopts the self-calibration convolution method to obtain more discriminative feature representation. This convolutional way can enable each spatial location to adaptively encode the context information of distant regions and make the model obtain some characteristic information hidden in X-ray images. Additionaly, the ASCNet model integrates the convolutional block attention module and coordinate attention module to capture different information from space and channels to fully obtain the apparent fracture features in X-ray images. Finally, the effectiveness of the proposed model is verified using the femoral fracture dataset. The final classification accuracy and AUC value of the ASCNet are 0.9286 and 0.9720, respectively. The experimental results demonstrate that the ASCNet model performs better than ResNet50 and SCNet50. Furthermore, the proposed model presents specific advantages in recognizing occult fractures in X-ray images.
Integrating Cooperative Learning in EFL Classroom to Alleviate Students’ Speaking (Fluency) Anxiety
Authors: Meilasari Tania Aryani , Rofi’i Agus , Kustini Titin , Herdiawan Rama Dwika
Published: November 2023

In the EFL classroom, even though students learn all the skills and are good at some skills, they still feel anxious when they speak in front of the teacher and their friends. The feeling of anxiety can happen because of some factors. One of them is the learning atmosphere. Students feel uncomfortable with a learning atmosphere that is too strict and formal. Cooperative learning can be an alternative way to help alleviate students’ anxiety in speaking English. Since Cooperative learning is related to activities that focus on student learning through group work, it gives a supportive and safe learning vibe to those students who are afraid to speak their foreign language. This research investigates how to integrate cooperative learning in English Foreign Language classrooms to alleviate students speaking anxiety. This research employed a descriptive case study. The participants of this study were the teacher and 36 tenth-grade students in one of the senior high schools in Majalengka. The results showed that the teacher integrated cooperative learning in speaking activities through group investigation. Then, the students’ perceptions toward cooperative learning have advantages in alleviating speaking anxiety in the learning activities. It indicates that students positively perceive cooperative learning as alleviating speaking anxiety.The results showed that most students were anxious because they lacked confidence and practice. In overcoming this problem, the teacher integrated cooperative learning in speaking activities through group investigation. Moreover, the teacher allowed students to communicate with each other by using group work and gave the students practice with fluency while having the discussion and presentation. Then, the students’ perceptions toward cooperative learning have advantages in alleviating speaking anxiety in the learning activities. It indicates that students positively perceive cooperative learning as alleviating speaking anxiety.
Isolation and molecular characterization of Acanthamoeba spp. from Iraqi patients with Keratitis
Authors: Aldin Muna B. , Ardalan Naksheen M. , Jassim Khudair Abbas
Published: November 2023

تعتبرAcanthamoeba   من أكثر الطفيليات انتشارًا وهي على اتصال دائم مع الانسان والحيوان تتكون دورتها من مرحلتين هما الطور الخضري (الناشطة) والطور المتكيس. تضمنت الدراسة الحالية على عزل طفيلي Acanthamoeba الموجودة في قرنية العين. تم جمع ستة وتسعين عينة سريرية من مرضى التهاب القرنية من مستشفى (ابن الهيثم التخصصي) في بغداد للفترة من تشرين الثاني 2020 إلى نهاية أيار 2021 لعزل وتشخيص طفيلي Acanthamoeba، ولقد تم زرع جميع العينات على أوساط تفريقيه، فبعد أخذ العينات عن طريق قشط القرنية أو المسحات، تم نقلها إلى اوساط أجار غير مغذية ANN)) تحتوي على معلق E. coli المعطلة بالحرارة وحضنت لمدة 14 يومًا عند 37 درجة مئوية. ثم تم فحص جميع الاطباق وتصنيفها على أنها تحديد شكلي إيجابي أو سلبي للتعرف شكليا على Acanthamoeba spp.  ولم يلاحظ وجود الفطريات فيها. ومن ثم تم إجراء تحليل تفاعل البلمرة المتسلسل (PCR) وتسلسل لتحديد أنواع عزلات Acanthamoeba. بعد تحليل (PCR)، وتحليل جزء DF3 جعل من الممكن تصنيف السلالات الثلاثة من جنس Acanthamoeba، ثم تم إجراء تحليل التسلسل باستخدام أداة NCBI، والتي أظهرت وجود طرازين وراثية مختلفة، تم تجميع سلالتين في النمط الجيني T3، واحدة من T4، ثم تم تسجيلها في GeneBank تحت أرقام المدخلات على التوالي (MZ427912، MZ349042).
التحقق من مصدوقية طريقة تحليل S-phenyl mercapturic acid بالبول باستخدام الاستشراب السائل عالي الأداء مع كاشف الصمام الثنائي الضوئي
Authors: Albitar Mohammad Nour , Barguil Sophie
Published: November 2023

تم تطوير وتوثيق مصدوقية طريقة تحليلية باستخدام جهاز الاستشراب السائل عالي الأداء HPLC تتمتع بالبساطة والانتقائية والدقة وذلك من أجل تعيين حمض س-فينيل ميركابتوريك. حُقّق الفصل الاستشرابي بواسطة استخدام عمود فصل من نوع (ODS-3 Inertsil) بأبعاد (5μ, 150 mm x 4.6 mm). وكانت درجة حرارة العمود 45 درجة مئوية. واستُخدم طور متحرك مؤلف من أسيتونتريل: ميتانول: ماء منزوع الشوارد محمض بحمض فوق الكلور (4/1/5 حجم/ حجم/حجمpH=3 ,) بمعدل جريان 1.5 مل/دقيقة واستخدام طول موجة مكشاف 225 نانومتر. أُجريت اختبارات ملاءمة النظام لتقييم مدى ملاءمة وفعالية النظام الاستشرابي بأكمله. حُسب زمن احتباس مادتي حمض س-فينيل ميركابتوريك وحمض البنزوئيك فقد وجدتا 17.3 و  15.6دقيقة، على التوالي، وأُجري التحقق من مصدوقية الطريقة المطورة من حيث الخطية والدقة والمضبوطية والنوعية وحد الكشف وحد التقدير الكمي. حيث كان حد الكشف: 126.0 مكغ/مل وحد التقدير الكمي: 0.38 مكغ/مل لمادة س-فينيل ميركابتوريك، وبمردود97.183% :. أظهرت المادة استجابة خطية ضمن المجال 0.5-20 مكغ/مل. تهدف هذه الدراسة إلى تطوير طريقة تحليلية باستخدام جهاز الاستشراب عالي الأداء والتحقق من مصدوقيتها، ويمكن استخدام الطريقة المقترحة لتقدير مستقلب البنزن هذا في البول كونها بسيطة ودقيقة وانتقائية.
Enhancing Cloud Resource Management Based on Intelligent System
Authors: Younis Manal Fadhil
Published: November 2023

تعد الحوسبة السحابية نموذجًا تقنيًا مهمًا يتمتع بأقوى إمكانات لتغيير الطريقة التي يتم بها تنفيذ أنشطة تكنولوجيا المعلومات. توفر السحابة موارد تكنولوجيا معلومات منخفضة التكلفة وقابلة للتطوير، و يسعى مقدمو الخدمات السحابية إلى تحسين نتائج الأعمال بحيث تصبح الأنظمة السحابية أكثر تعقيدًا. تحتوي السحابة الذكية على عدد من المشكلات ، بما في ذلك تحسين تصميم الخدمة السحابية وتوزيع الموارد بشكل تكيفي واقتصادي. هناك اتجاه متزايد نحو اعتماد التقنيات الذكية لتحسين إدارة السحابة على وجه الخصوص. يقدم هذا البحث طريقة ذكية لإدارة الموارد السحابية دون تأخير أو مشاكل. بدءًا من تصميم نظام يعتمد على الخوارزمية الجينية (GA) كأدوات حسابية لتحقيق الهدف وتوضيح طلب تنبؤي ثم اعتمادًا على خوارزمية round robin (RR) لتخصيص طلبات المعالجة. لتقييم أداء الطريقة، تم التحقق من الخوارزمية المقترحة في 145 طلب. حيث حقق نظام التنفيذ نتيجة معقولة.
Investigation Nonlinear Properties (First and Second Hyperpolarizabilities) of The Nitro-thieno [3,2-b] thiophene -fullerene (C20) Molecule
Authors: Resan Samira , Al-Anber Mohanned Al-Anber
Published: November 2023

في هذه الدراسة، تم فحص الخصائص البصرية غير الخطية (NLO) لجزيء نيترو-ثينو [3،2-ب] ثيوفين-فوليرين (C20) بشكل منهجي باستخدام طرق نظرية الكثافة الوظيفية (DFT) على مستوىB3LYP مع مجموعة الأساس 6-31+G(d,p). يرتبط الفوليرين (المتبرع بالإلكترون) مع ثينو [3،2-ب] ثيوفين (π- جسر مترافق)، مما يشكل إطارًا لنقل الشحنة، والنيترو هو متقبل قوي للإلكترون. تمت دراسة الخصائص الديناميكية للجزيء، بما في ذلك فرط الاستقطاب الأول والثاني، مما أدى إلى التوليد التوافقي الثاني β(-2ω; ω,ω) والتوليد التوافقي الثالث γ(– 2ω; ω, ω, ω)، وتأثير β(-ω; ω,0)Pockels، وتأثيرKerr γ(–ω; ω, 0, 0), هي فهارس تقييم مهمة لإنشاء مواد لاخطية. يُظهر الجزيء استجابات لاخطية ممتازة، وهي فهارس تقييم مهمة لإنشاء مواد لاخطية. حيث وجد أن أعلى استجابة خطية للمعلمات أعلاه عند الطول الموجي 455.6 نانومتر. تكشف أطياف الامتصاص أن هذه الجزيئات لها مناطق شفافة تحت الحمراء وجزيئات لاخطية جديدة. لذلك، فإن ربط nitro-thieno [3،2-b] ثيوفين بالفوليرين (C20) هو طريقة فعالة لتصميم جزيئات لاخطية عالية الأداء.
Solvability of the Quaternary Continuous Classical Boundary Optimal Control Dominated by Quaternary Parabolic System
Authors: Al-Hawasy Jamil A. Ali , Naji Fetan J.
Published: November 2023

الهدف من هذا البحث هو دراسة قابلية الحل لمتجه السيطرة الامثلية الحدودية الرباعية التقليدية المستمرة المسيطرة بمسالة القيم الحدودية الغير خطية المكافئة بوجود قيود الحالة. تم ذكر وإثبات مبرهنة الوجود لمتجه السيطرة الامثلية الحدودية التقليدية المستمرة الرباعية  مع قيدي التساوي والتباين للحالة وبوجود شروط ملائمة. تم ايجاد الصيغة الرياضية لمسالة القيم الحدودية الرباعية المرافقة والمصاحبة  لمسالة القيم الحدودية الرباعية الغير خطية المكافئة . تم ايجاد مشتقة فريشيه لدالة الكلفة ولدوال القيود. بوجود شروط مناسبة تم ذكر نص واثبات مبرهنتي الشروط الضرورية والشروط الكافية لوجود متجهة السيطرة الامثلية الحدودية الرباعية المستمرة التقليدية.
A Multi-Objective Facility Coverage Location Problem for Emergency Medical Service Decisions in Hajj
Authors: Naji Huda Zaki , Al-Behadili Mohanad , Kadim Mohammad Sari
Published: November 2023

يقترح هذا البحث نموذج منشأة متعدد الأغراض لمشكلة موقع التغطية لتحديد عدد ومواقع وعمليات إعادة نشر نظام EMS الذي يعمل مع سيارتي إسعاف من النوع: دعم الحياة المتقدم (ALS) ودعم الحياة الأساسي (BLS) . يأخذ نموذج التغطية متعددة الأغراض المقترح (MO-CL) في الحسبان هدفين: 1) خفض تكاليف نظام EMS عن طريق الحد من نوعي سيارات الإسعاف ALS و BLS. 2) تقليل إجهاد أعضاء طاقم  EMS عن طريق الحد من عدد إعادة الانتشار لنوعين من سيارات الإسعاف مع الاستمرار في توفير مستويات التغطية المطلوبة. يمكن حل نموذج MO-CL من خلال تطبيق خوارزمية البحث MO-CL. يعتمد النموذج المقترح على نموذج المكعب الفائق التقريبي، والذي يلغي افتراضات تشغيل سيارة الإسعاف المستقلة واحتمال الانشغال على مستوى النظام. تم استخدام النموذج في دراسة حالة بناءً على بيانات حقيقية تم جمعها من مستشفى النور التخصصي في مكة المكرمة خلال فترة الحج التي استمرت 15 يومًا. لتحقيق عتبة تغطية 95 في المائة للطلب الحاسم وغير الحاسم ، يتطلب نموذج MO-CL ما لا يقل عن 64 سيارة إسعاف (29 ALS و 12 BLS احتياطيًا و 23 BLS) و 19 عملية إعادة نشر (9 ALS و 2 للنسخ الاحتياطي BLS ، و 8 BLS) كل يوم.
The Solution of Fermat’s Two Squares Equation and Its Generalization In Lucas Sequences
Authors: Athab Ali S. , Hashim Hayder R.
Published: November 2023

من المعروف أن هناك عدد غير منتهي من الأعداد الأولية في أشكال خاصة مثل شكل مربع فيرما ، أو تعميمها الذي يحتوي على الشكل ، حيث تمثل المتغيرات  و  بعض الأعداد الصحيحة. الهدف الرئيسي من هذه الورقة هو التحقق مما إذا كانت الاشكال أعلاه لا تزال تحتوي على العديد من الحلول أم لا عندما تكون هذه المتغيرات مشتقة من متواليات تحتوي على عدد غير منتهي من الأعداد الأولية. بتعبير أدق ، تركز هذه الورقة على التحقيق في حلول هذه الأشكال عندما تمثل هذه المتغيرات مصطلحات في تسلسلات تكرار خطية ثنائية معينة تسمى متواليات لوكاس من النوع الأول والنوع الثاني.
Epistasis regulates genetic control of cardiac hypertrophy
Authors: Wang Qianru , Tang Tiffany , Youlton Nathan , Weldy Chad , Kenney Ana , Ronen Omer , Hughes John , Chin Elizabeth , Sutton Shirley , Agarwal Abhineet , Li Xiao , Behr Merle , Kumbier Karl , Moravec Christine , Tang W. H. Wilson , Margulies Kenneth , Cappola Thomas , Butte Atul , Arnaout Rima , Brown James , Priest James , Parikh Victoria , Yu Bin , Ashley Euan
Published: November 2023

The combinatorial effect of genetic variants is often assumed to be additive. Although genetic variation can clearly interact non-additively, methods to uncover epistatic relationships remain in their infancy. We develop low-signal signed iterative random forests to elucidate the complex genetic architecture of cardiac hypertrophy. We derive deep learning-based estimates of left ventricular mass from the cardiac MRI scans of 29,661 individuals enrolled in the UK Biobank. We report epistatic genetic variation including variants close to CCDC141, IGF1R, TTN, and TNKS. Several loci not prioritized by univariate genome-wide association analysis are identified. Functional genomic and integrative enrichment analyses reveal a complex gene regulatory network in which genes mapped from these loci share biological processes and myogenic regulatory factors. Through a network analysis of transcriptomic data from 313 explanted human hearts, we show that these interactions are preserved at the level of the cardiac transcriptome. We assess causality of epistatic effects via RNA silencing of gene-gene interactions in human induced pluripotent stem cell-derived cardiomyocytes. Finally, single-cell morphology analysis using a novel high-throughput microfluidic system shows that cardiomyocyte hypertrophy is non-additively modifiable by specific pairwise interactions between CCDC141 and both TTN and IGF1R. Our results expand the scope of genetic regulation of cardiac structure to epistasis.
Anxiety and sleep disorders in depressed patients are affected by resting state EEG rhythm
Authors: Xiong Xin , zhang jiancong , He Jianfeng , Wang Chunwu , Liu Ruixiang , Wang Aikun , Sun Zhiran , Zhang Jing
Published: November 2023

Background
Depression is a complex mental disease whose typical symptoms include sleep disturbances and anxiety, which often co-occur, further aggravating the patient's condition. The study aimed to investigate the relationship between EEG rhythms and sleep disorders and anxiety conditions in depressed patients, as well as physiologic indicators that may contribute to these changes.
Methods
Resting-state EEG data from 24 depressed patients and 24 healthy subjects were used to analyze EEG signal power in different frequency bands. Explored the relationship between EEG frequency bands and anxiety symptoms (assessed using the GAD-7 scale) and sleep quality (using the Pittsburgh Sleep Quality Index Scale, PQSI) through multiple regression analysis. Using the sLORETA technique, EEG source analysis was conducted to compare current densities in different brain regions between depressed patients and healthy controls.
Results
Compared with the HC group, there were significant differences in localized electrode power in major depressive disorders (MDD), focusing on electrodes in temporal, frontal, and occipital regions. Regression analysis showed that symptoms of GAD(GAD-7 score) were affected by the Beta band power, while sleep quality (PQSI score) was affected by the Alpha band power. Source localization analysis revealed that there were greater differences in current density in temporal lobe (STG, ITG, FG) and frontal lobe (IFG) in the MDD group, compared to the HC group.
Conclusion
The findings suggest that there is a close correlation between sleep disorders and Alpha band power in depressed patients, potentially indicating functional abnormalities in the left temporal lobe region as well as left lateralized asymmetrically of the Alpha band. In addition, abnormal functioning of the inferior temporal gyrus (IFG) and the fusiform gyrus (FG) in depressed patients may lead to symptoms of anxiety. The difference in current density in the temporal and frontal lobes reflects the abnormal brain activity in these regions in depressed patients and is a significant physiological marker of depression. Significance: These discoveries contribute to an in-depth understanding of the characteristics of EEG activity in patients with depression and provide new research directions for future treatment and intervention.
Percutaneous vertebroplasty for thoracolumbar osteoporotic vertebral compression fracture in patients with distant lumbosacral pain
Authors: XIAO Shanwen , ZHOU Shufang , PAN Shixin , LI Guodong , LI Aihui
Published: November 2023

Objective A few patients with thoracolumbar OVCF only report pain in the lumbosacral region, which was far from the level of the fractured vertebra. The study aimed to assess the therapeutic efficacy of percutaneous vertebroplasty (PVP) in patients with thoracolumbar OVCF who presented with distal lumbosacral pain (DLP), as well as investigate the potential underlying mechanisms of DLP.
Methods Sixty-nine thoracolumbar OVCF patients who exclusively reported pain in the lumbosacral region of the lower back or buttock were enrolled in the LS group. In a 1:2 ratio, 138 patients who exclusively reported thoracolumbar pain localized at the level of the fractured vertebra were selected for the control group (TL group). Clinical outcomes were evaluated utilizing the Visual Analog Scale (VAS) and Chinese modified Oswestry Disability Index (CMODI) scores. Radiographic assessment included measurements of vertebral height and Cobb angle.
Results The VAS and CMODI scores, Cobb angle, and anterior and middle vertebral heights demonstrated significant improvement following surgery in both groups (P<0.05). No significant differences were observed between the two groups in terms of postoperative CMODI scores, Cobb angle, and anterior and middle vertebral heights (P>0.05). However, the LS group exhibited lower preoperative anterior and middle vertebral heights compared to the TL group (P=0.039 and 0.043, respectively). Additionally, there were higher VAS scores at 2 days and 1 month post-operation (both P<0.0001).
Conclusion Percutaneous vertebroplasty can alleviate pain in the distal lumbosacral area caused by thoracolumbar OVCF. Excessive reduction in vertebral height may pose a potential risk for the emergence of lumbosacral pain. Patients with lumbosacral pain experienced a relatively inferior short-term pain relief following surgery compared to those with thoracolumbar pain.