bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel Synthesized Ionizable Lipid for LNP-mediated P2X7siRNA Inhibit Migration and Induce Apoptosis of Breast Cancer Cells
Authors: Kiaie Seyed hossein , Zangi Ali Rajabi , hemmati Salar , Baradaran Behzad , Valizadeh Hadi 
Published: July 2023

Abstract
The development of ionizable lipid (IL) was necessary to enable effective formulation of small interfering RNA (siRNA) to inhibit P2X7 receptors (P2X7R), a key player in tumor proliferation, apoptosis, and metastasis. In this way, the generation and utility of IL for enhancing cellular uptake of lipid nanoparticles (LNP) improves the proper delivery of siRNA-LNPs for knockdown overexpression of P2X7R. In this study, we synthesized a branched ionizable lipid (SIL) that efficiently transfects LNP with P2X7 siRNA (siP2X7) for evaluation of BC migration and apoptosis in mouse 4T-1 cells. Following synthesis and structural analysis of SIL, LNP was prepared with excellent characterization (Z-average 126.8 nm, Zeta-potential − 12.33, and PDI 0.16, and encapsulation efficiency 85.35%). Afterwards, the stability of the LNP was evaluated through an analysis of each leftover composition, and toxic concentration values for SIL and siP2X7 were determined. Furthermore, siP2X7-LNP cellular uptake in the formulation was assessed via confocal microscopy. We used scratch assay microscopy and flow cytometry to assess wound healing analysis and apoptosis after determining the optimal dose (45 pm). As a result, the formulated siP2X7-LNP with innovative SIL indicates that offbeat cellular uptake inhibits migration and induces apoptosis of 4T-1 cells. Subsequently, SIL plays a critical role in LNP formulation to deliver siRNA efficiently against murine triple-negative breast cancer cells (TNBC).with significant efficacy.
Virtual Reality in Health Sciences
Authors: Castrillon-Arias Cristian G. , Caicedo-Eraso Julio C. , Varon-Serna Diana R. 
Published: July 2023

Abstract
Technological innovations have provided contributions to different productive sectors, and in the field of medicine, their presence is increasingly relevant. They aim to improve the quality of services for patients by encompassing all aspects of healthcare, improving medical assistance, the overall health status of the population, and increasing life expectancy. This technological revolution affects the role of the doctor and their relationship with patients, creating a new way of practicing medicine. Technologies such as virtual reality and augmented reality demonstrate the various contributions they can provide in medicine. This work aims to provide the most important trends and technologies of virtual reality applied to the healthcare sciences and medical practice. Different medical technological solutions were analyzing and classified as three topics: prevention, diagnosis, and treatment.
Improving Emergency Response: An In-Depth Analysis of an ITS-G5 Messaging Strategy for Bus Blockage Emergencies at Level Crossings
Authors: Dardour Mayssa , Mosbah Mohamed , Ahmed Toufik 
Published: July 2023

Abstract
The Intelligent Transportation System protocol stack (ITS-G5/802.11p) has revolutionized traffic efficiency and road safety applications in vehicular environments. This study presents a novel architecture for communications, utilizing IPv4 mul-ticast over 802.11p/ETSI ITS-G5, which addresses the challenges of a specific urban use case involving a Level Crossing (LC) in Bordeaux. Our proposed architecture focuses on the broadcast of Cooperative Awareness Message (CAM) and Decentralized Environmental Notification Message (DENM) to enhance road user safety. To prevent accidents, an algorithm for CAM and DENM dissemination has been devised, ensuring timely alerts for sudden vehicle blockage emergencies. Moreover, a comprehensive and optimized train braking strategy is introduced to further minimize accident risks. This strategy aims to provide efficient and timely train deceleration, allowing sufficient time for road users to clear the level crossing and mitigating the potential for collisions. To evaluate the system’s performance , we analyze key metrics, including End-to-End (E2E) delay and Packet Reception Ratio (PRR). Furthermore, our work includes a comparative analysis between our proposed edge-server-based architecture and a cloud-based architecture. This analysis provides valuable insights into the strengths and weaknesses of each approach. Through comprehensive experimentation and evaluation, our proposed approach demonstrates its efficiency and effectiveness in mitigating accidents and enhancing road safety. By leveraging the capabilities of ITS-G5, our research contributes to the advancement of communication systems for intelligent transportation. The findings of this study provide a foundation for future 1 deployments and improvements in urban environments, fostering safer and more reliable transportation systems.
Semi-supervised Graph Convolutional Deep Embedded Clustering
Authors: Cao Chao , Li Mengli , Yang Shuhong , Li Chungui 
Published: July 2023

Abstract
Clustering is an important field of study in data analysis, and semi-supervised clustering, as a sub-category of clustering, has received extensive attention for significantly improving performance with only a small amount of prior information introduced. In recent years, many studies have incorporated semi-supervision into their field. Although good results have been obtained, most of these methods, when introducing additional information (for example, multi-view information), could not make full use of the given knowledge to mine the similarity in intra-class, and get performance not prominent enough. For this situation, we put forward a new method of Semi-supervised Graph Convolutional Deep Embedding Clustering (SGDEC), which is a single-view algorithm. Specifically, an autoencoder network (implemented by linear layers) is pre-trained, we innovatively propose to employ the GCN to learn the data similarity reflected by the prior information of the pairwise information, and make clear the training direction of the latent variable z. Clustering label assignment and feature representation can be optimized by clustering loss alone. Unlike previous methods that only use pairwise information as a constraint in neural network, this architecture can make full use of pairwise information and capture similarities from it, optimizing the entire network for better clustering performance. We conduct many experiments on four popular benchmark datasets of images using the same set of learning rates, and it is shown that our SGDEC achieves a significant improvement over the new single-view algorithms, even better than the latest multi-view methods.
Seismic Performance of Linked-Column Frame; Multi-Parameter Study
Authors: Jaya Ramadhansyah Putra 
Published: July 2023

Abstract
In the current research, the effect of length and number of link beams on the structural response of Linked-Column Frames (LCFs) with different heights has been studied and compared with Special Moment-Resisting Frames (SMRFs). To this aim, 34 LCFs of 3-, 6-, and 9-story with two or three links in story level were designed in ETABS and simulated in OpenSees. The beam length ranged between 1-3.5 m altering plastic behavior from shear to flexure. Nonlinear dynamic analysis was carried out using 20 numbers of far-field and near-field records from FEMA-P695 scaled to DBE and MCE seismic hazard levels. Results illustrated that increasing the length and number of links generally reduced seismic demands. However, conflicting trends were observed in shear-flexure cases producing the greatest drift ratio and lowest base shear at the same time. Also, near-field records maintained almost similar demands compared to the far-field set except for the significantly different base shear responses. The results of 3-story LCFs were more promising in terms of a larger reduction in demands compared to the same height SMRF; utilizing LCF reduced SMRF drift ratio up to 72% in 3-story, and almost 26% in 6- and 9-story structures. The desirability coefficient determined the most suitable configuration for link beams, suggesting three numbers of 1.5 m shear links for 3-story LCF, and 3 m intermediate links with 3 and 2 numbers for 6- and 9-story structures, respectively. In conclusion, LCF system is not economical for taller buildings due to the relative weight increase.
HYPOGLYCEMIC ACTION OF ETHANOLIC EXTRACT OF LEAVES OF OXALIS CORNICULATA LINN. ON NORMAL AND ALLOXAN-INDUCED DIABETIC ALBINO RATS
Authors: Kaushik Shobhit , Rai Jayant , Samuel Madhulika Peter , Kaushik Shipra 
Published: July 2023

Objective: The aim of the study is to evaluate hypoglycemic action of Ethanolic extract of leaves of Oxalis corniculata linn. on normal and Alloxan-induced diabetic albino rats. Methods: Hyperglycemia is induced by use of intraperitoneal injection of Alloxan and Adrenaline. After that test drug Ethanolic extract of leaves of Oxalis corniculata (ELOC) and standard drug Glibenclamide in administered. The hypoglycemic effect of ELOC is compared with the standard drug and control. Results: Significant hypoglycemic activity of ELOC was seen in Alloxan induced hyperglycemia when blood glucose levels were estimated from different tissues. Also, significant hypoglycemic activity of ELOC was seen in Adrenaline induced hyperglycemia. Conclusion: Ethanolic extract of leaves of Oxalis corniculata (ELOC) possess hypoglycemic activity. Key words: hypoglycemic activity, Alloxan, Oxalis corniculata
RME-based local instructional theory for translation and reflection using of South Sumatra dance context
Authors: Rawani Dewi , Putri Ratu Ilma Indra , Zulkardi  , Susanti Ely 
Published: July 2023

A learning trajectory as a sequence of mathematical activities that could facilitate the growth of students’ understanding of learning goals. This research aimed to produce an instructional sequence to learn the concepts of translation and reflection and to investigate how students develop their understanding informally using a South Sumatra dance context. The research employed the design research method, which consisted of three stages: preliminary design, design experiment (pilot experiment and teaching experiment), and retrospective analysis. This research involved six students who have the high, medium, low capability at the first cycle and 32 students ninth graders at the second cycle at Junior High School 1 Palembang. Data from observations, tests, interviews, and documentation were analyzed descriptively. The tests used were aimed to determine the improvement made by the students; while the classroom observations, interviews, and documentations were used to develop the local instructional theory. This study produced a learning trajectory with three activities include: the students watched a dance video to describe the dancer’s’ positions in relation to floor tiles; the students were asked to determine the starting points of the dancers in Cartesian coordinates to learn concepts; and the students developed a formal concept based on their own knowledge.
Hvordan god rekrutteringspraksis kan hindre destruktiv ledelse og fremme samskapende ledelse
Authors: Moe Helene Tronstad 
Published: July 2023

The purpose of the chapter is to increase the understanding of how recruitment practices affect management practices. To explore the consequences of hiring inadequate managers, the author poses the following three research questions: 1) Why are unqualified candidates employed in management positions? 2) What are the consequences of poor managerial recruitment at a micro and macro level? 3) How can the incidence of poor managerial recruitment be reduced? Through the empirical generalization method, empirical causal models are developed to describe the overall mechanisms and processes in each of the three research questions. The author develops a conceptual analysis and system perspective of inadequate recruitment practices and co-creative management practices.
Success in the leadership role will always be a function of both individual and contextual conditions. Thus, in recruitment and selection it is crucial that the context in which the manager is to perform the leadership role is analyzed, and that this work is considered an integral part of the company’s strategic investments. Recruitment and selection of leaders requires that contextual characteristics and considerations are explored and emphasized. Such leadership practice contributes to a healthy working environment, increased productivity, lower turnover, and positive employer branding.
Peningkatan Prestasi Belajar Matematika dengan Model Problem Based Learning
Authors: Mertayasmini Made 
Published: July 2023

Hasil rata-rata prestasi belajar masih rendah. Hal tersebut diakibatkan karena dalam pembelajaran tersebut guru masih menggunakan metode ceramah yang membuat peserta didik bosan dan mengantuk. Penelitian ini bertujuan untuk menganalisis peningkatan prestasi belajar matematika dengan model Problem Based Learning. Penelitian ini menggunakan metode Penelitian Tindakan Kelas (PTK) dengan 4 tahapan yaitu: perencanaan (Planning), pelaksanaan (Acting), pengamatan (Observing), dan refleksi (Reflecting). Pengumpulan datanya melalui tes, yang selanjutnya dianalisis dengan menggunakan metode deskriptif kuantitatif. Subjek dalam penelitian yang terdiri dari 13 siswa perempuan dan 21 siswa laki-laki di SMA. Data disajikan dalam bentuk persentase ketuntasan belajar dan prestasi belajar matematika. Hasil yang diperoleh dari penelitian ini adalah adanya perkembangan hasil yang sangat positif. Pada awalnya ketuntasan belajar sebesar 44,12% dengan rata-rata 56,72, selanjutnya setelah pelaksanaan siklus I ketuntasan belajar meningkat menjadi 64,71% dan rata-rata 62,34 kemudian ketuntasan belajar 76,47% dengan rata-rata 78,64 pada siklus II. Dari siklus I ke siklus II terjadi juga peningkatan, maka kesimpulan yang diperoleh dari penelitian ini adalah model Problem Based Learning dapat meningkatkan prestasi belajar matematika pada kelas X MIPA 1 SMA.
PhET Interactive Simulations Berbasis Inquiry Terbimbing Untuk Meningkatkan Aktifitas dan Hasil Belajar Kimia Pada Materi Asam Basa
Authors: Warsiki Anak Agung Putri 
Published: July 2023

Setiap teknik penilaian yang digunakan harus mengikuti prosedur operasional. Apabila pelaksanaan teknik tersebut tidak memenuhi prosedur operasional maka pendidik memilih cara lain sebagai alternatif untuk memenuhi penilaian tersebut agar pembelajaran tetap berjalan sesuai program. Salah satu alternatif untuk keterampilan laboratorium Kimia dapat menggunakan Phet Simulations chemistry yaitu PhET Interactive Simulations. Tujuan penelitian ini untuk menganalisis penggunaan PhET interactive simulations berbasis inquiry terbimbing sebagai alternatif keterampilan laboratorium untuk meningkatkan aktifitas dan hasil belajar kimia pada materi asam basa siswa kelas XI. Jenis penelitian ini merupakan penelitian tindakan kelas dengan dilaksanakan sebanyak 2 siklus. Subjek pada penelitian ini adalah siswa Kelas XI berjumlah 31 orang. Data hasil belajar dikumpulkan dengan menggunakan metode tes Data dianalisis menggunakan statistik deskriptif kuantitatif. Hasil penelitian menunjukkan nilai hasil belajar siswa mengalami kenaikan sebesar 5,74% dari kondisi awal sedangkan nilai keterampilan siswa pada unjuk kerja mengalami kenaikan 6,85% dari keadaan awal. Hasil simulasi siklus II menunjukkan terjadi kenaikan 6,48% dari siklus I sedangkan nilai keterampilan siswa mengalami kenaikan sebesar 12,57% dari siklus I. Pada siklus II terlihat lebih nyata perubahan nilai siswa. Simpulan penelitian yaitu penggunaan PhET Interactive Simulation sebagai alternatif keterampilan Laboratorium dapat meningkatkan aktifitas dan hasil belajar pada pembelajaran Kimia siswa Kelas XI.
Numerical Realization of Shallow Water Bodies’ Hydrodynamics Grid Equations using Tridiagonal Preconditioner in Areas of Complex Shape
Authors: Litvinov V. N. , Atayan A. M. , Gracheva N. N. , Rudenko N. B. , Bogdanova N. Yu. 
Published: July 2023

Introduction. Mathematical modeling of hydrodynamic processes in shallow reservoirs of complex geometry in the presence of coastal engineering systems requires an integrated approach in the development of algorithms for constructing computational grids and methods for solving grid equations. The work is devoted to the description of algorithms that allow to reduce the time for solving SLAE by using an algorithm for processing overlapping geometry segments and organizing parallel pipeline calculations. The aim of the work is to compare the acceleration of parallel algorithms for the methods of Seidel, Jacobi, modified alternately triangular method and the method of solving grid equations with tridiagonal preconditioner depending on the number of computational nodes.Materials and Methods. The numerical implementation of the modified alternating-triangular iterative method for solving grid equations (MATM) of high dimension is based on parallel algorithms based on a conveyor computing process. The decomposition of the computational domain for the organization of the pipeline calculation process has been performed. A graph model is introduced that allows to fix the connections between neighboring fragments of the computational grid. To describe the complex geometry of a reservoir, including coastal structures, an algorithm for overlapping geometry segments is proposed.Results. It was found that the efficiency of implementing one step of the MATM on the GPU depends only on the number of threads along the Oz axis, and the step execution time is inversely proportional to the number of nodes of the computational grid along the Oz axis. Therefore, it is recommended to decompose the computational domain into parallelepipeds in such a way that the size along the Oz axis is maximum, and the size along the Ox axis is minimal. Thanks to the algorithm for combining geometry segments, it was possible to speed up the calculation by 14–27 %.Discussion and Conclusions. An algorithm has been developed and numerically implemented for solving a system of large-dimensional grid equations arising during the discretization of the shallow water bodies’ hydrodynamics problem by MATM, adapted for heterogeneous computing systems. The graph model of a parallel-pipeline computing process is proposed. The connection of water body’s geometry segments allowed to reduce the number of computational operations and increase the speed of calculations. The efficiency of parallel algorithms for the methods of Seidel, Jacobi, modified alternately triangular method and the method of solving grid equations for problems of hydrodynamics in flat areas, depending on the number of computational nodes, is compared.
A Second-Order Difference Scheme for Solving a Class of Fractional Differential Equations
Authors: Khibiev A. Kh. , Alikhanov A. A. , Shahbaziasl M. , Chernobrovkin R. A. 
Published: July 2023

Introduction. Increasing accuracy in the approximation of fractional integrals, as is known, is one of the urgent tasks of computational mathematics. The purpose of this study is to create and apply a second-order difference analog to approximate the fractional Riemann-Liouville integral. Its application is investigated in solving some classes of fractional differential equations. The difference analog is designed to approximate the fractional integral with high accuracy.Materials and Methods. The paper considers a second-order difference analogue for approximating the fractional Riemann-Liouville integral, as well as a class of fractional differential equations, which contains a fractional Caputo derivative in time of the order belonging to the interval (1, 2).Results. To solve the above equations, the original fractional differential equations have been transformed into a new model that includes the Riemann-Liouville fractional integral. This transformation makes it possible to solve problems efficiently using appropriate numerical methods. Then the proposed difference analogue of the second order approximation is applied to solve the transformed model problem.Discussion and Conclusions. The stability of the proposed difference scheme is proved. An a priori estimate is obtained for the problem under consideration, which establishes the uniqueness and continuous dependence of the solution on the input data. To evaluate the accuracy of the scheme and verify the experimental order of convergence, calculations for the test problem were carried out.
The Discontinuous Galerkin Method and its Implementation in the RAMEG3D Software Package
Authors: Tishkin V. F. , Ladonkina M. E. 
Published: July 2023

Currently, the Discontinuous Galerkin Method (DGM) is widely used to solve complex multi-scale problems of mathematical physics that have important applied significance. When implementing it, the question of choosing a discrete approximation of flows for viscous terms of the Navier-Stokes equation is important.It is necessary to focus on the construction of limiting functions, on the selection of the best discrete approximations of diffusion flows, and on the use of implicit and iterative methods for solving the obtained differential-difference equations for the successful application of DGM on three-dimensional unstructured grids.First-order numerical schemes and second-order DGM schemes with Godunov, HLLC, Rusanov-Lax-Friedrichs numerical flows and hybrid flows are investigated. For high-order precision methods, it is necessary to use high-order time schemes.The Runge-Kutta scheme of the third order is used in the work. The equations are written as a system of first-order equations, when solving the Navier-Stokes equation by the discontinuous Galerkin method.
Existence and Uniqueness of the Initial-Boundary Value Problem Solution of Multicomponent Sediments Transport in Coastal Marine Systems
Authors: Sidoryakina V. V. 
Published: July 2023

Introduction. This work is devoted to the study of a non-stationary two-dimensional model of sediment transport in coastal marine systems. The model takes into account the complex multi-fractional composition of sediments, the gravity effect and tangential stress caused by the impact of waves, turbulent exchange, dynamically changing bottom topography, and other factors. The aim of the work was to carry out an analytical study of the conditions for the initialboundary value problem existence and uniqueness corresponding to the specified model.Materials and Methods. Linearization of the initial-boundary value problem is performed on a temporary uniform grid. The nonlinear coefficients of a quasilinear parabolic equation are taken with a “delay” by one grid step. Thus, a chain of correlated by initial conditions is the final solutions of problems is built. The study of the existence and uniqueness of the problems included in this chain, and therefore the original problem as a whole, is carried out involving the methods of mathematical and functional analysis, as well as methods for solving differential equations.Results. Earlier, the authors investigated the existence and uniqueness of the initial-boundary value problem of the transport of sediments of a single-component composition. In the present work, the result obtained is extended to the case of multi-fractional sediments.Discussion and Conclusions. The non-linear spatial two-dimensional model of sediment transport was previously investigated by the team of authors in the case of bottom sediments consisting of particles having the same characteristic dimensions and density (single-component composition) based on the analysis of the existing results of mathematical modeling of hydrodynamic processes. In this paper, the previous results of the study are extended to the case of sediments of a multicomponent composition, namely, the conditions for the existence and uniqueness of the solution of the initial-boundary value problem corresponding to the considered model are determined.