bluuebunny/crossref_metadata_2025 huggingface dataset:
T-HyperGNNs: Hypergraph Neural Networks Via Tensor Representations
Authors: Wang Fuli , Pena-Pena Karelia , Qia Wei , Arce Gonzalo
Published: February 2023

Hypergraph neural networks (HyperGNNs) are a family of deep neural networks designed to perform inference on hypergraphs. HyperGNNs follow either a spectral or a spatial approach, in which a convolution or message-passing operation is conducted based on a hypergraph algebraic descriptor. While many HyperGNNs have been proposed and achieved state-of- the-art performance on broad applications, there have been limited attempts at exploring high dimensional hypergraph descriptors (tensors) and joint node interactions carried by hyperedges. In this paper, we depart from hypergraph matrix representations and present a new tensor-HyperGNN framework (T-HyperGNN) with cross-node interactions. The T-HyperGNN framework consists of T-spectral convolution, T-spatial convo- lution, and T-message-passing HyperGNNs (T-MPHN). The T- spectral convolution HyperGNN is defined under the t-product algebra that closely connects to the spectral space. To im- prove computational efficiency for large hypergraphs, we localize the T-spectral convolution approach to formulate the T-spatial convolution and further devise a novel tensor message-passing algorithm for practical implementation by studying a compressed adjacency tensor representation. Compared to the state-of-the- art approaches, our T-HyperGNNs preserve intrinsic high-order network structures without any hypergraph reduction and model the joint effects of nodes through a cross-node interaction layer. These advantages of our T-HyperGNNs are demonstrated in a wide range of real-world hypergraph datasets. 
Formation control of differential-drive robots with input saturation and constraint on formation size
Authors: Agrawal Ayush , Bharatheesha Mukunda , Kolathaya Shishir
Published: February 2023

Cooperative control involves developing control strategies for individual robots that guarantee synchronized behavior of the states of all the robots in a team in some prescribed sense. This work presents a novel controller that achieves formation control for a group of differential-drive robots. First, we propose a nonlinear feedback control law that guarantees stable tracking of a reference trajectory for a single robot without exceeding the velocity limits of the robot. Using Lyapunov analysis, we obtain the necessary conditions on the control parameters and establish ultimate boundedness on error terms. Next, we formulate the formation control problem as a trajectory tracking problem for the multi-robot system and solve it using the proposed controller. Additionally, we provide constraints on formation size for a planned reference trajectory, ensuring smooth cornering of multi-robot formation without exceeding actuation limits.
Formation control of differential-drive robots with input saturation and constraints on formation size
Authors: Agrawal Ayush , Bharatheesha Mukunda , Kolathaya Shishir
Published: February 2023

Cooperative control involves developing control strategies for individual robots that guarantee synchronized behavior of the states of all the robots in a team in some prescribed sense. In this work, we present a novel controller that achieves formation control for a group of differential-drive robots. First, we propose a nonlinear feedback control law that guarantees stable tracking of a reference trajectory for a single robot without exceeding the velocity limits of the robot. Using Lyapunov analysis, we obtain the necessary conditions on the control parameters and establish ultimate boundedness on error terms. Next, we formulate the formation control problem as a trajectory tracking problem for the multi-robot system and solve it using the proposed controller. Additionally, we provide constraints on formation size for given reference trajectory which ensures smooth turning of multi-robot formation without exceeding actuation limits.   
Histotripsy Ablation for the Treatment of Feline Injection Site Sarcomas: A First-in-Cat In Vivo Feasibility Study
Authors: Ruger Lauren , Yang Ester , Coutermarsh-Ott Sheryl , Vickers Elliana , Gannon Jessica , Nightengale Marlie , Hsueh Andy , Ciepluch Brittany , Dervisis Nikolaos , Vlaisavljevich Eli , Klahn Shawna
Published: February 2023

Feline soft tissue sarcoma (STS) and injection site sarcoma (fISS) are rapidly growing tumors with low metastatic potential, but locally aggressive behavior. Histotripsy is a non-invasive focused ultrasound therapy using controlled acoustic cavitation to mechanically disintegrate tissue. In this study, we investigated the in vivo safety and feasibility of histotripsy to treat fISS using a custom 1 MHz transducer. Three cats with naturally-occurring STS were treated with histotripsy before surgical removal of the tumor 3 to 6 days later. Gross and histological analyses were used to characterize the ablation efficacy of the treatment, and routine immunohistochemistry and batched cytokine analysis were used to investigate the acute immunological effects of histotripsy. Results showed that histotripsy ablation was achievable and well-tolerated in all three cats. Precise cavitation bubble clouds were generated in all patients, and hematoxylin & eosin stained tissues revealed ablative damage in targeted regions. Immunohistochemical results identified an increase in IBA-1 positive cells in treated tissues, and no significant changes in cytokine concentrations were identified post-treatment. Overall, the results of this study demonstrate the safety and feasibility of histotripsy to target and ablate superficial feline STS and fISS tumors and guide the clinical development of histotripsy devices for this application. 
Linear Neural Network as a Fast Solver for Dictionary Learning
Authors: Sathish Rachana , Sheet Debdoot , Khare Swanand
Published: February 2023

Traditional numerical solvers for linear algebra problems such as dictionary learning (DictL) operating on large data face challenges because of super-linear computational complexity and massive memory requirement. This does not make it easily solvable on commonly available computers. A linear neural network (NN) is proposed to be employed as an alternate solver for such problems. Specifically, we demonstrate a linear fully-connected (FC) NN-based solver for DictL. It is employed to learn the dictionary atoms instead of the classically used k-singular value decomposition (K-SVD), while the sparse coefficients are learned using the classical orthogonal matching pursuit (OMP) approach. We compare the computational complexity of the classical vs our proposed FCNN-based approach implemented on both CPU and GPU using synthetically generated datasets with varying sizes. Further, we demonstrate practical utility in image denoising with DictL while comparing the equivalence of solution obtained from our FCNN-based solver with the traditional approach with K-SVD. We achieve a notable speedup compared to the traditional technique on both CPU and GPU implementations.
Secure Address Allocation Mechanism in QUIC-based Protocols
Authors: Zhang Wei
Published: February 2023

The emerging QUIC protocol provides efficient migration of IP addresses in a device without breaking the existing connection. This mechanism has been exploited in MIMIQ to provide user privacy and obstruct traffic analysis attacks. The frequent change of a device’s IP address thwarts traffic analysis attacks, and hinders the derivation of user behavioral patterns. This protocol can be useful for ISPs to provide privacy-preserving telecom services. In the original paper of MIMIQ, the authors demonstrate a proof-of-concept (POC) implementation on a single switch. This is a simplified example that is not scalable for real-world applications. In this project, we aim to implement MIMIQ on a user application. To make it easier to adapt, we implement it as a plug-in service on popular QUIC implementations. In the original POC, the address allocation scheme was naive and detailed analysis can reveal the user identity. In this article, we study the security properties of MIMIQ and propose an efficient, secure, and scalable address allocation mechanism.
Security monitoring of microservice-based applications
Authors: Zhang Wei
Published: February 2023

Microservice-based architecture is a relatively new paradigm of software development that has gained tremendous popularity recently. A microservice-based application comprises multiple relatively small independent functional components (microservices) that interact to accomplish a sophisticated function. Microservices enable agile development and deployment of applications and enhanced scalability and resiliency. However, microservices-based systems have more significant security concerns than traditional monolithic systems. In this article, we discuss the various security loopholes of a microservice-based architecture and how these diverse components increase the attack surface of the aggregate framework. This article also proposes a machine learning (ML) based behavioral analysis framework that analyzes the network traffic and API calls to detect flaws and vulnerabilities in the microservice architecture to overcome these challenges. Prior research has demonstrated the potential of network monitoring to secure microservice-based cloud applications. However, they used hand-designed policies to enforce security compliance. Manually designed policies have their drawbacks. This article discusses these challenges and proposes a novel ML-based pattern recognition to automate the manual definition of policies. ML-based attack detection techniques have achieved stateof-the-art performance in various cybersecurity applications like malware detection and vulnerability detection. However, security monitoring of microservice-based applications is still a developing research field that has not experienced the impact of ML yet. This article proposes implementing supervised ML-based security monitoring of microservice-based applications based on Seeker to detect vulnerability exploits in real-time.
Characterization and Application of Dual Frequency Liquid Crystal mixtures in mm-Wave Reflectarray Cells to improve their Temporal Response
Authors: Guirado Robert , de la Rosa Pablo , Perez-Palomino Gerardo , Caño-García Manuel , Carrasco Eduardo , Quintana Xabier
Published: February 2023

Liquid Crystal-based mm-wave spatially fed antennas with electronic reconfiguration are a promising solution at the higher frequencies required in next generation networks. However, one of the main drawbacks of the technology in these bands stems from the high reconfigurability times they present. Through this work, a relevant step towards overcoming the temporal problem by using Dual Frequency Liquid Crystals (DFLC) is presented. This paper details, for the first time, both the electromagnetic and temporal characterization of four commercially available DFLC mixtures in W-band, enabling their use in designing faster devices. To evaluate the experimental characterization, a reflectarray surface (made of 50x50 cells) specifically designed to achieve fast switching times with a sufficient phase range has been manufactured and measured. For this cell, a preliminary addressing technique based on overdriving has been used, exhibiting reconfigurability (rise and decay) times of 20 ms, one order of magnitude faster than the current state of the art of LC-based mm-wave planar devices. The measured results match the simulations, and reveal that a precisely designed biasing technique using overdrive must be used for DFLC-cells to achieve time reduction. Additionally, the benefits of this technology compared with other LC acceleration strategies in mm-wave are discussed.
Feature Centric Multi-modal Information Retrieval in Open World Environment (FemmIR)
Authors: Solaiman KMA , Bhargava Bharat
Published: February 2023

Multi-modal information retrieval has great implications for search engines, situational knowledge delivery and complex data management systems. Existing cross-modal learning models use separate information models for each data modality and lack the compatibility to utilize pre-existing features in an application domain. Moreover, supervised learning methods lack the capability to include user preference to define data relevancy without training samples and need modality-specific translation methods. To address these problems, we propose a novel multi-modal information retrieval framework (FemmIR) with two retrieval models based on graph similarity search (RelGSim) and relational database querying (EARS). FemmIR uses extracted features from different modalities and translates them into a common information model. For RelGSim, we propose to build a localized graph for each data object with the features and define a novel distance metric to measure the similarity between two data objects. A neural network based graph similarity approximation model is trained to map the data objects to a similarity score. Furthermore, for handling feature extraction in an open world environment, appropriate extraction models are discussed for different application domains. To tackle the problem of finer attribute analysis in text, a novel human attribute extraction model is proposed for unstructured text. Contrary to existing methods, FemmIR can integrate application domains with existing features and can include user preference for relevancy determination for situational knowledge discovery. The single information model (common schema or graph) reduces the data representation overhead. Comprehensive experimental results on a novel open world cross-media dataset show the efficacy of our models.
Distributed Energy Resources, Transmission Power System Control, Energy Transition: An Exploratory Bibliometric Analysis
Authors: Suprême Hussein , Abou Daher Nivine , de Montigny Martin , Oussédik Annissa J=Heniche
Published: February 2023

 Energy transition is promoted by the international and scientific community to reduce society's carbon footprint and fight against climate change. In this context, power systems are increasingly equipped with distributed energy resources (DER) and variable energy resources (VER). Because of the variability introduced by these resources and power electronics converters, serving as the interface between them and AC power system, power systems operators are facing more challenges to maintain network reliability. Even if most of DERs are connected to distribution system, their integration will also impact the transmission system behavior. Furthermore, the utilities must ensure a better coordination and communications of the actions taken by the transmission system operator (TSO) and distribution system operator (DSO). In the context of end-to-end electricity system transition, development, and integration, the main objective of this transversal study is to analyze the content of published work. The aim is to target the new challenges to solve in order to maintain the reliability of the transmission and distribution power systems. The analysis is based on a bibliometric study of the Scopus database for published documents from 2011 to 2020. By using of statistical methods, a quantitative analysis is done on the one hand to highlight the evolution of science in this specific research area and on the other hand to identify current and future trends and challenges. 
Assessing thermal imagery integration into object detection methods on air-based collection platforms
Authors: Gallagher James , Oughton Edward
Published: February 2023

Object detection models commonly focus on utilizing the visible spectrum via Red-Green-Blue (RGB) imagery. Due to various limitations with this approach in low visibility settings, there is growing interest in fusing RGB with thermal long wave infrared (LWIR) (7.5 - 13.5 µm) images to increase object detection performance. However, we still lack baseline performance metrics evaluating RGB, LWIR and LWIR-RGB fused object detection machine learning models, especially from air-based platforms. This study undertakes such an evaluation finding that a blended RGB-LWIR model generally exhibits superior performance compared to traditional RGB or LWIR approaches. For example, an RGB-LWIR blend only performed 1-5% behind the RGB approach in predictive power across various altitudes and periods of clear visibility. Yet, RGB fusion with a thermal signature overlayed provides edge redundancy and edge emphasis, both which are vital in supporting edge detection machine learning algorithms. This approach has the ability to improve object detection performance for a range of use cases in industrial, consumer, government, and military applications. Finally, this research additionally contributes a novel open labeled training dataset of 6,300 images for RGB, LWIR, and RGB-LWIR fused imagery, collected from air-based platforms, enabling further multispectral machine-driven object detection research. 
Modelling and Optimization of DRX in Cellular IoT Networks: an MDP Approach
Authors: Accurso Nicholas , Mastronarde Nicholas , Malandra Filippo
Published: February 2023

The discontinuous reception mechanism is modeled as a single Markov decision process. The MDP is solved using value iteration and a method is proposed to deploy the optimal DRX timer in a heterogeneous network.
Incompleteness of Wave Theories of Light --- Non-Interference Patterns and Interference Patterns Emerging Simultaneously on Screen
Authors: peng hui
Published: February 2023

Young’s double slit experiments revived the wave theory of light. The standard interpretation is that the light behaves as waves before and after passing through the double slit. Feynman called the double slit experiment the only mystery in quantum mechanics. By placing a convex lens at different positions, we have shown: (1) Near the diaphragm, light behaves as photons and produces a non-interference pattern; near the screen, the photons produce an interference pattern; (2) The non-interference pattern evolves to the orthogonal interference pattern gradually in the same experiment; (3) The convex lens stops the further evolution. It is heuristic for study the nature of light by showing all of three different kinds of patterns on the screen simultaneously. For this purpose, in this article, we setup three paths. The light is divided into three portions, each portion propagates along one path. Then inserting three lenses to different Zones of different paths. Experiments show that two non-interference patterns and interference pattern simultaneously emerge on the same screen. 

The experiments: (1) challenge the wave theories of light; (2) violate Bohr’s complementarity principle; (3) provide profound phenomena for further development of optics and for study of the nature of light; (4) suggest that a complete theory should be able to simultaneously interpret the non-interference pattern, the interference pattern, and the evolution from the non-interference to the interference pattern in the same experiment.
Quantum Kamma Hypothesis
Authors: Hwang Chun-Kai , Gilbert John Reuben
Published: February 2023

This research discusses the kamma, the eighth consciousness, ¯alaya-vijñ¯ana, and the relationship to quantum consciousness proposed by Penrose and Hameroff. We name it the quantum kamma hypothesis, which is the extension of quantum consciousness and the basis of engergy medical science.
Ambit-Process based Spatial-Wideband MIMO Channel Model for Sub-THz Urban Microcellular Communication
Authors: Das Shrayan , Sen Debarati , Viterbo Emanuele , Chavva Ashok Kumar Reddy , Sharma Diwakar , Nigam Anshuman
Published: February 2023

 The design and development of sub-Terahertz (sub-THz) cellular systems entail the need for new channel models that can precisely predict channel characteristics beyond 100 GHz in outdoor and dynamic environments. This work proposes a novel multiple-input and multiple-output (MIMO) channel model for cellular communication, developed within the framework of a class of spatio temporal stochastic processes called ambit-process. The modeling methodology effectively captures the typicalities of sub-THz propagation like molecular absorption and scattering of the evolving multipaths while accounting for the propagation delay of electromagnetic waves across large array apertures deployed at the transmitter and the receiver. This allows for an accurate characterization of the spatial-wideband effect along with other relevant spatio-temporal attributes of the channel. Numerical simulations indicate a good level of agreement between the spectral efficiency and spatio-temporal correlation of the proposed model against a state-of-the-art stochastic Terahertz (THz) channel model and measurements reported in literature. 
Ambit-Process based Spatial-Wideband MIMO Channel Model for Sub-THz Urban Microcellular Communication
Authors: Das Shrayan , Sen Debarati , Viterbo Emanuele , Chavva Ashok Kumar Reddy , Sharma Diwakar , Nigam Anshuman
Published: February 2023

The design and development of sub-Terahertz (sub-THz) cellular systems
entail the need for new channel models that can precisely predict
channel characteristics beyond 100 GHz in outdoor and dynamic
environments. This work proposes a novel multiple-input and
multiple-output (MIMO) channel model for cellular communication,
developed within the framework of a class of spatio temporal stochastic
processes called ambit-process. The modeling methodology effectively
captures the typicalities of sub-THz propagation like molecular
absorption and scattering of the evolving multipaths while accounting
for the propagation delay of electromagnetic waves across large array
apertures deployed at the transmitter and the receiver. This allows for
an accurate characterization of the spatial-wideband effect along with
other relevant spatio-temporal attributes of the channel. Numerical
simulations indicate a good level of agreement between the spectral
efficiency and spatio-temporal correlation of the proposed model against
a state-of-the-art stochastic Terahertz (THz) channel model and
measurements reported in literature.
Survey on Multimodal Transformers for Robots
Authors: Miyazawa Kazuki , Nagai Takayuki
Published: February 2023

In recent years, transformers have been attracting considerable attention in various natural language processing tasks. Recently, they have been used not only in natural language processes, but also for processing multimodal data such as images, video, and audio, and their effectiveness has been demonstrated. The processing of multimodal data is extremely important in robot intelligence. Therefore, the multimodal transformers have the potential to contribute to the development of robotics in various domains. In this paper, we review the application of transformers to robots and discuss the possibility of transformers solving the problems in current intelligent robotics.
Low-melting-point alloys integrated extrusion additive manufacturing
Authors: Jiang Jingchao , Zhai Xiaoya , Zhang Kang , Jin Liuchao , Lu Qitao , Shen Zhichao , Liao Wei-Hsin
Published: February 2023

Additive manufacturing has developed significantly. In contrast to established fabricated materials, low-melting-point alloys (LMPAs) are increasingly attractive because they have favorable electrical/thermal conductivities and mechanical strengths. However, LMPA additive manufacturing is still in its infancy. We report a novel strategy for fabricating the complex and/or multifunctional components of LMPAs by extrusion additive manufacturing with two nozzles (for extruding the polymer and for extruding the LMPA). The proposed strategy was used to successfully fabricate complex LMPA components for the first time. We fabricated LMPA/polymer composite parts with improved mechanical properties, and implemented the integrated manufacturing of circuits and 3D products. The strategy will enable the use of LMPAs in applications such as smart structures, electromagnetic shielding, biomedicine, thermal management, energy harvesting, and advanced electronics.
Drive-by Air Pollution Sensing Systems: Challenges and Future Directions
Authors: Zarrar Hassan , Dyo Vladimir
Published: February 2023

no data was used 
Dampak corporate social responsibility dan firm size terhadap firm value dengan profitabilitas sebagai variabel moderating
Authors: Pelupessy Elvando , Hariani Swarmilah
Published: February 2023

This research aimed to analyze the influence of corporate social responsibility and firm size on firm value with profitability as a moderating variable. The population of the research subject was companies listed on the LQ45 index in the period 2017-2019. The method of determining the sample in this study used a purposive sampling technique and obtained 57 sample observation data. This research is causal, and data analysis was done by moderation regression analysis using the SPSS version 25 program. The data analysis showed that corporate social responsibility had a negative and significant effect on firm value, firm size did not affect firm value, and profitability could not moderate the influence of corporate social responsibility. However, it could moderate the influence of firm size on firm value.
Pengembangan sumber daya manusia untuk meningkatkan perekonomian daerah di provinsi Kalimantan Tengah
Authors: Sujud Atsari , Ivan Muhammad
Published: February 2023

On a regional scale, Central Kalimantan, which has human capital that dominates the labor market in both the formal and informal sectors, is faced with low skills to face the digitalized job market, including the tourism industry and MSMEs. With a touch of the creative economy, the market could be more active due to the inability to package tourism products. The upstream human capital, namely high school/vocational high school/equivalent graduates, needs to prepare in a planned way to face the job market. Governance factors are becoming increasingly important, along with the vision of regional heads, local government organizations (OPD), and private companies through CSR. Moreover, digital business start-ups need to be considered by corporate to build human resource development management for SMK graduates that are integrated with the business and industrial world (DUDI).
Pengaruh keputusan pendanaan, ukuran perusahaan, ukuran dewan komisaris, dan return on asset terhadap nilai perusahaan
Authors: Nurahma Suci , Budiharjo Roy
Published: February 2023

The purpose of this research is to investigate the influence of funding decisions, size of the board of commissioners, firm size, and Return on Asset on Firm’s Value. The object of this research is companies LQ45 at the Indonesia Stock Exchange in 2015-2019. The research design used is a quantitative approach with the selection of samples using a purposive sampling method. Total samples in these research were 27 out of 65 companies that met the criteria. The data used are secondary data and data analysis methods used are multiple linear regression tests which include descriptive test, classic assumptions and hypothesis test. The results of the study show Funding Decisions has not significant influence on Firm’s Value, Size of the Board of Commissioners has significant influence on Firm’s value, Firm Size has not significant influence on Firm Value, and Return on Asset has significant influence on Firm’s Value.
Profitability, leverage, firm size, and tax avoidance model relationship: A case of the manufacturing sector
Authors: Oktrivina Amelia
Published: February 2023

Tax avoidance is one of the issues that has attracted researchers' interest in financial management, and efforts to understand the causative factors are of serious concern. This study explicitly reveals the determinants of tax avoidance using the fundamental factor approach (profitability, leverage, and firm) in the automotive sector manufacturing companies. Moreover, the role of size as a moderator is also tested in the proposed model. The data analysis technique shows that profitability, leverage, and size have a negative effect on tax avoidance. Furthermore, the confirmed size moderates the relationship between leverage and tax avoidance but not profitability. The results of this study provide new insights into the role of size, which has been proven as a moderator of tax avoidance.
Good corporate governance, pengungkapan corporate social responsibility dan ukuran perusahaan terhadap nilai perusahaan
Authors: Pasaribu Melissa Astuti , Hariani Swarmilah
Published: February 2023

This study aims to determine and prove that the influence of good corporate governance, disclosure of corporate social responsibility, and firm size has implications for the company's values. The sample in this study amounted to 100 from the observation data of the population of 25 companies in the consumer goods manufacturing industry sector listed on the Indonesia Stock Exchange (IDX) in 2016-2019. The sampling technique uses the purposive sampling method. Data analysis techniques use analysis using SPSS version 23. The results of this study show that good corporate governance proxied through the audit committee and for disclosure of corporate social responsibility is positive and not significant to the company's value. At the same time, the firm size has a positive and significant on the value of the company.
Pengaruh dimensi equitas merek terhadap kepercayaan konsumen
Authors: Purwanto Edy , Syam AR M. Munir , Arifin Miftahol
Published: February 2023

This research aims to analyze and determine the accuracy of the dimensions of brand equity (brand awareness, perceived quality, and brand associations in influencing brand trust. This study examines instant noodle brands as research objects. The number of samples used was 170 respondents. The sample determination used was the purposive sampling technique. The data was collected by distributing questionnaires. In analyzing the data, it was carried out using multiple linear regression analysis. The results of this study indicate that the variables of brand awareness, perceived quality, and brand associations affect consumer trust. This research is expected to confirm the accuracy of the dimensions of brand equity in predicting consumer trust. The practical contribution of this research is that it can provide information to academics and practitioners about the application of brand equity dimensions in predicting consumer trust in instant noodles: indomie and mie sedaap.
Sponsorisasi pada team olahraga
Authors: Sembiring Ryan Johan , Iskandar Donant Alananto
Published: February 2023

Sponsors have become one of the essential factors in sports activities, and their role as one of the critical aspects in implementing sports activities cannot be denied. Especially for sports teams, sponsors can provide additional funding that can support operational activities. Meanwhile, from the perspective of sponsors, companies' involvement in providing their support is based more on promotional strategies to expand the symbolic value of sponsors. This brief commentary briefly describes sponsorship, marketing, and future study opportunities.
Hubungan Bahasa Arab Dengan Psikologi Pembelajaran: Suatu Tinjauan Psikolinguistik
Authors: Habiburrahman
Published: February 2023

Dalam pembelajaran bahasa asing ada beberapa aspek yang harus diperhatikan dalam menunjang keberhasilan dalam proses pembelajaran, diantaranya sistem bahasa (aspek linguistik), sistem pembelajaran (aspek metodologis), dan sistem psokologis (aspek psikolinguistik). Psikolinguistik sangat erat kaitannya dengan pembelajaran bahasa, karena di samping ruang lingkup pembahasan psikolinguistik mencakup pembahasan fenomena pemerolehan dan pembelajaran bahasa, ia juga membahas bagaimana pembelajaran bahasa yang baik. Begitu juga pembelajaran bahasa Arab, yang meliputi prinsip pendidikan, prinsip psikologis, dan prinsip linguistic. Ketiga prinsip ini merupakan titik temu antara linguistik dan dan pembelajaran bahasa. Disini penulis akan memaparkan titik temu psikolinguistik dengan pembelajaran Bahasa Arab berdasarkan prinsip pembelajaran, psikologis dan linguistis secara desktiptif-metodologis dalam konteks hubungan pembelajaran Bahasa Arab dan psikologi dalam tinjauan psikolinguistik.
تأثير طريقة التدريب على ترقية مهارة القراءة لطالبات معهد مطالع الأنوار كونوغ تاعيس ريككريك فلعاءن باميكاسن سنة 2020
Authors: Musyarrafah Nafisatul
Published: February 2023

نجاح الطالبات فى مهارة القراءة العربيةيكون آملا لهن. وتطبيق طريقة التدريب الذى يحصل الطالبات فى مهارة القراءة يشكل السعى من الطالبات. وغرض هذا البحث العلمي لمعرفة وجود أو مقدار تأثير المتغير X محدود بالدلالة : إعطاء التمرينات نحو ما قد تعلمها الطالبات، تمرين خاطر الطالبات نحو مادة الدرس التي أعطاها المدرس، تأدية العمل القديم الثابت وتجد فيها حتى تكون لها مهارة دائمة، تأدية العادة مسمرة وتمرين المهارة. وأما المتغير Yمحدود بالدلالة : صحة منوال تغير الكلمة الموجودة في اللغة العربية، الاستيلاء على قواعد النحو والصرف، القدرة على وضع موضوع الفكرة، القدرة على قراءة تركيب الجملة.

وطريقة البحث فى هذا البحث العلمي، استخدمت الباحثة تقريب الكمي. المجتمع فى هذا البحث هي طالبات معهد مطالع الأنوار كونوع تاغيس قدر 30 طالبة لأن عدد الطالبات أقل من 100 شخص، سوف استخدمت الباحثة هذا البحث بتقريب المجتمع. وآلة البحث التي اُستخدمت فى جمع البيانات هى الإستبيان ولإختبار والوثيقة. وأما تقنية تحليل البيانات هي تقنية ضرب الإرتباط العزوم.

بعد عقد تحليل البيانات والاختبار، حصلت قيمة rXY 0،480، للمجتمع 30 بجد التصديق 95 % = 0،361 وبجد التصديق 99 % =      0،463. ومن نتيجة هذا التحسيب يعرف أن قيمة تحسيب "r"، أكبر و أعلى من مقياس التصديق 95% أو مقياس التصديق 99%. والبيان فى الفرض الصفري يبين عن "وجودتأثير طريقة التدريب على ترقية مهارة القراءة لطالبات معهد مطالع الأنوار كونوع تاعيس ريككريك فلعاءن باميكاسن سنة 2020" مقبول. من حاصل هذا البحث العلمي نستنتج أن طريقة التدريب علىترقية مهارة القراءة لطالبات معهد مطالع الأنوار كونوع تاعيس ريككريك فلعاءن باميكاسن سنة 2020،في طبقة " منخفض " وهى 0،480.
Penerapan Metode 1Q2R dalam meningkatkan kemahiran Membaca Teks Bahasa Arab
Authors: Abdulloh
Published: February 2023

Reading is an important skill for students who must undergo and follow the teaching and learning process. The success of students in the teaching and learning process affects reading skills. One that affects the success of students in the process of learning to read is the selection of a good learning method by the teacher. This study has two focuses, namely: First, to find out the application of the 1Q2R method in improving Arabic text reading skills in class X MA Syarif Hidayatullah Ambal-Ambil Pasuruan. Second, knowing the supporting and inhibiting factors for the application of the 1Q2R method in improving Arabic text reading skills in class X MA Syarif Hidayatullah Ambal-Ambil Pasuruan students.

               This research method uses a qualitative approach with the type of case study. Data collection techniques used three techniques, Interview, Observation and Documentation.               The results of this study indicate that (1) The application of the 1Q2R method to improve the ability to read Arabic texts of class X Syarif Hidayatullah students through two stages, namely: First, the preparation stage and Second, the implementation stage. (2) The supporting factors for the application of the 1Q2R method to improve the ability to read Arabic in Class X students of Syarif Hidayatullah Pasuruan are divided into two factors. namely, the internal factor in the form of student awareness in the form of seriousness to improve the ability to read Arabic texts. External factors are the skills of the teaching staff in guiding and directing and stimulating students to achieve maximum reading skills. The inhibiting factors are: First, the limited time allocation that affects the quality of control and guidance for students to practice their ability to read Arabic texts. Second, the ability and quality of new student input is not filtered properly so that there are students whose quality in reading Arabic texts is below average.
تقويم القواعد العربية بمظاهرة كتاب التراث بمركز اللغة العربية بمعهد مفتاح العلوم بانيبين بالنجائن باميكاسان
Authors: Taufiqurahman
Published: February 2023

Evaluation is an important component in the learning process and system. As in the initial observation, the Miftahul Ulum Panyeppen Islamic Boarding School in Pamekasan carried out an evaluation in measuring the qawaid ability of students using a unique evaluation form that was rarely encountered before, namely using the Fathul Qorib book as evaluation material. This study has two focuses, namely knowing the application and the advantages and disadvantages of implementing the Qawaid Arabiyah evaluation using the Fathul Qorib Book at the Miftahul Ulum Panyeppen Islamic Boarding School in Pamekasan.

               The research method used in this study is a qualitative method with three data collection techniques, namely interviews, observation and documentation               The results of this study indicate that: First, the implementation of the Qawaid Arabiyah Evaluation using the Fathul Qorib Book at the Miftahul Ulum Panyeppen Islamic Boarding School in Pamekasan through several steps as follows (1) sorting students based on ability levels. (2) say hello and ask students to open, choose a title and read. (3) Demonstrating the contents of the text in the book by explaining the grammatical position in the reading, (4) the teacher asks the students to determine the main ideas in the reading text. (5) Cover.               While the advantages and disadvantages of implementing the Qawaid Arabiyah Evaluation using the Fathul Qorib Book at the Miftahul Ulum Panyeppen Islamic Boarding School in Pamekasan have been found, namely that the number of advantages contained in the evaluation process is more than the disadvantages.
Al-Qur'an sebagai Pradigma Pendidikan Agama Islam Multikultural
Authors: Muhammad Syaiful
Published: February 2023

The importance of multicultural Islamic education in Indonesia is a necessity considering that Indonesia is a multi-ethnic, ethnic, racial, cultural and religious country. The purpose of this discussion is to reveal how the Koran views Multicultural Islamic Education in a broader context. This study uses a qualitative approach with the type of library research, with data collection techniques through library data in the form of text contained in books, articles, papers and other written sources. The results of this study indicate that Allah SWT deliberately made human beings with various ethnicities, races, languages, cultures, religions and other uniqueness with the aim of fostering tolerance for one another. Multicultural Islamic education in a broader practice must be directed towards acceptance of these differences so that it will produce students who are open to all forms of difference as a natural law and sunnatulah.
DAMPAK PANDEMI COVID 19
Authors: Ummidlatus Salamah. Fashi Hatul Lisaniyah
Published: February 2023

The impact of the Covid-19 pandemic has been felt by the world of education, including educational institutions in junior high schools located in Islamic boarding schools. Islamic boarding-based educational institutions relatively limit the use of electronic media and online media in their daily activities, including in the teaching and learning process. The impact felt is very large with the Covid-19 pandemic, where all learning activities must be carried out online. This is the background of the research conducted at the Islamic Junior High School Ma'arif NU Bustanul Muta'allimin Islamic boarding school Nguwok Lamongan. The purpose of this study is to find problems faced by students and teachers in the pesantren environment and provide solutions that help in the learning process. The research method used is descriptive qualitative, using an exploratory case study. The result of this research is that students do not understand the material taught by the teacher through online learning. The students stated that online learning was not fun because the learning was not interesting, so that students became bored with doing online learning. While the impact felt by the teacher, namely learning becomes ineffective, material is not delivered perfectly due to limitations of learning media, teacher work becomes unlimited, internet connection is hampered, and difficulty to practice in the laboratory. The solutions offered are in the form of media to make learning more effective, including learning media for Google classroom, Kahoot, Socrative, Canva, and PhET Simulation.
Pembelajaran Maharah kalam
Authors: Ifa Latifatul Mahbubah. Ainur Rohmah. Humairoh
Published: February 2023

Speaking skills are the main skills that must be mastered by Arabic learners in order to be able to speak Arabic properly and correctly in accordance with applicable language rules. This study aims to determine the process of learning speaking skills and the form of evaluation in learning speaking skills at Markazul Lughah Miftahul Ulum Kebun Baru Islamic Boarding School Pamekasan.

In this study, the researcher used a descriptive approach with a qualitative approach to determine the learning process and evaluation of learning speaking skills at the Markazul Lughah Miftahul Ulum Kebun Baru Islamic Boarding School Pamekasan through interviews, observation and documentation.

The results showed that the learning process and evaluation of speaking skills learning at Markazul Lughah Miftahul Ulum Kebun Baru Islamic Boarding School Pamekasan used several learning methods and strategies that were adapted to the level of students' kalam skills such as conversation, speech and so on
فن الخطابة لتمنية كفاءة مهارة الكلام
Authors: Fasihatul Lisaniyah
Published: February 2023

الخطابة هي إحدى فنون في الكلام العربية. فالكلام وسيلة الإنسان في الفهم والإفهام، كما أنه وسيلة المتعلم في بناء ثقته بنفسه، ومقدرته على المواجهة بالكلمة، والإتجال في المواقف التي تطلب ذلك، كما أن الكلام يسهم في زيادة الثروة اللغوية لدي المتعلم فيتسع قاموسه اللغوي، وهنا تتضح أهمية القراءة أيضا وارتباطها بفن الكلام ودورها في تجويده وتحسينه، خاصة إذا أحسن اختيار مادة قرأنية جادة وجيدة ومناسبة للمتعلمين. فلذلك ينبغي على متعلم اللغة العربية لممارسة الكلام لأن الكلام مهم للتعبير عن الفكر في شكل الأفكار والآراء والرغبات أو الشعر للمخاطب كما ذكر سابقا. وفن الخطابة وسيلة أو الطريقة لممارسة الكلام.
أهمية الترادف في تعلم مفردات اللغة العربية
Authors: Ummidlatus Salamah
Published: February 2023

الترادف هو الألفاظ المفردة الدالة علي شيء واحد باعتبار واحد. ظاهرة الترادف من الظواهر الجميلة التي تميزت بها العربية. فهم عن الترادف مهم في تعلم المفردات لأن مفردات اللغة العربية كثيرة جدا، ثم  لفهم المعاني المفردات يحتاج عن فهم ظواهر الترادف. استخدمت الباحثة المنهج الكيفي الوصفي لأن البيانات في هذا البحث تتكون من الكلمات المكتوبة.
REAKTUALISASI PROJECT BASED LEARNING MODEL DALAM PEMBELAJARAN PEMBELAJARAN BAHASA ARAB
Authors: Mira Shodiqoh. M Mansyur
Published: February 2023

Artikel Jurnal ini membahas tentang konsep project based lerning model, langkah-langkah dalam pembelajaran dan contoh pembelajaran yang memakai model project based lerning. Dalam jurnal ini ditemukan bahwa reaktualisasi project based lerning model dalam pembelajaran Bahasa Arab sangat dibutuhkan agar siswa mampu mencapai hasil belajar yang maksimal. Pembelajaran berbasis proyek (project based learning) adalah sebuah model pembelajaran yang inovatif yang menekankan belajar kontekstual melalui kegiatan-kegiatan yang kompleks. Pembelajaran berbasis proyek merupakan model pembelajaran yang memberikan kesempatan kepada guru untuk mengelola pembelajaran dikelas dengan melibatkan kerja proyek, melalui pembelajaran kerja proyek, kreativitas dan motivasi peserta didik dapat meningkat.
الترجمة التواصلية لترقية كفاءة فهم النصوص في تعلم اللغة العربية
Authors: Nurul Fitria Aprilia
Published: February 2023

تشمل هذا البحث على أربعة مباحث أوليها، تعريف ترجمة التواصلية، شروط ترجمة التواصلية الجيّدة، وكيفيّة ترجمة التواصلية. استخدمت الباحثة المنهج الكيفي الوصفي لأن البيانات في هذا البحث تتكون من الكلمات المكتوبة. ونتائج البحث هي (1) نستنبط بأن التواصلية لغة هي البلوغ والوصول الي الغرض (الفهم). واصطلاحا هي بلوغ القصد عند شخص إلي شخص غيره بنقل التام من غير شكوك وريب و فهل المطلوب. (2) شروط ترجمة التواصلية الجيّدة، هي:للغة دودة مهمة فى عملية الترجمة، فهم المترجم بموضوع النص المترجم، له كفائة الكتابة، لدي المعرفة الواسعة، التواضع، الصبر و النّشاط. كيفيّة ترجمة التواصلية بطريقة د لالات الألفاظ و التوا صلية التى تشمل على هدفين مهمين فى الترجمة و هما, أولا ضبط المعنى وأقتصاد اللغة.
DESAIN PEMBELAJARAN MAHĀRAH QIRŌ’AH DENGAN PENDEKATAN KOMUNIKATIF DALAM METODE SOROGAN
Authors: Mochammad Yusron Ubaidillah
Published: February 2023

Learning Arabic that designed properly will achieve the expected goals. A good Arabic learning design is characterized by choosing an approach, method, strategy, material, and media that suits the student's condition. The communicative approach in learning Arabic is applied to improve skills in Arabic, such as Istima> ', kala>m, qiro>'ah and kita>bah. In this study contains about the application of a communicative approach in improving the ability of Qiro>'ah. The approach used in this study is a qualitative approach. The results of this research indicate that, in principle, the communicative approach is to improve the mastery of speaking proficiency. This is in line with the main purpose of language, namely as a means of communication. However, after being seen from another point of view, a communicative approach can also be applied in mastery of reading proficiency. An example is the application of the sorogan method. Santri are required to play an active role in this learning, and the cleric is only as a companion in learning. If there are errors in reading Arabic script, or do not know the word order. Santri can directly ask the ustadz. Form of communication. The existence of active communication between students and teacher is able to improve the ability students to increase their ability to read books/kitab.
تعليم مهارة الكلام باستخدام استراتيجية التعلم التعاوني جيكسو لطالبات الصف الثالث بمدرسة العالية مفتاح العلوم كبون بارو
Authors: M Mansyur Aisyatul Jamilah
Published: February 2023

Speaking skills are one of the most important skills in learning a foreign language, especially in learning Arabic, so that learning speaking skills in class 3 MAP. Miftahul Ulum Kebun Baru runs optimally, so the teacher chooses the Cooperative Learning strategy to train students' fluency and fluency in using Arabic.The purpose of this research is to answer questions in the research problem. The research problem is What are the steps for learning speaking skills in using Cooperative Learning strategies in class 3 MAP. Miftahul Ulum Kebun Baru?, What is the teacher's role in learning speaking skills using Cooperative Learning strategies in class 3 MAP. Miftahul Ulum Kebun Baru?, and what are the results of Maharah Kalam learning through cooperative learning strategies in class 3 MAP. Miftahul Ulum New Garden?.This approach and type of research uses a descriptive qualitative approach. This research was conducted in class 3 MAP. Miftahul Ulum Kebun Baru who is an Arabic teacher as a teacher and researcher as an observer. Data collection techniques in this study were interviews, observation and documentation.The results of this study are that in learning speaking skills the Cooperative Learning strategy has been used in MAP. Miftahul Ulum New Garden. The steps are "the teacher gives material to students, the teacher divides students into several groups (peer groups), the teacher creates expert groups then the teacher asks the expert group to explain to the peer group according to the results obtained from the expert group", while in it the teacher acts as facilitator, mediator, motivator and evaluator. The results in learning speaking skills using the Cooperative Learning strategy are that by using the Cooperative Learning strategy some students are able to speak Arabic fluently and fluently.