bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Sentimen Isu Vaksinasi Covid-19 pada Twitter dengan Metode Naive Bayes dan Pembobotan TF-IDF Tokenisasi 1-2 Gram
Authors: Hapsari Yashmine , Mujahidin Syamsul , Fadhliana Nisa
Published: September 2023

Vaksinasi COVID-19 telah diberlakukan untuk mengurangi penyebaran virus corona dalam masyarakat, namun status vaksin yang masih dalam tahap pengembangan menjadi salah satu faktor keraguan masyarakat untuk melakukan vaksinasi. Oleh karena itu, dilakukan analisis sentimen terhadap isu vaksinasi COVID-19 dengan proses dan parameter yang dapat meningkatkan akurasi model. Pada penelitian ini, pengklasifikasian sentimen dilakukan dengan menggunakan metode Naive Bayes dan dataset berupa 5000 tweet terkait vaksinasi COVID-19. Tahap pembobotan dilakukan dengan metode TF-IDF dimana dilakukan perbandingan terhadap pengaruh penggunaan tokenisasi unigram, bigram dan 1-2 gram terhadap akurasi model. Hasil dari salah satu percobaan dengan pengklasifikasi Gaussian dan perbandingan train:test yaitu 7:3, didapatkan akurasi model 67.4% untuk parameter unigram, 65.5% untuk parameter bigram, dan 70% untuk parameter 1-2 gram, dimana model dengan token gabungan yaitu 1-2 gram memiliki akurasi yang lebih tinggi jika dibandingkan dengan penggunaan 1 jenis token saja. Berdasarkan hasil tersebut, dapat disimpulkan bahwa penggabungan jenis tokenisasi unigram dan bigram dapat memberikan nilai tambah terhadap model untuk mengklasifikasikan data, sehingga dapat meningkatkan akurasi dalam analisis terkait sentimen publik.
Study of the Effect GMAW and SMAW Welding Combination with WAAM Method
Authors: Jatmoko  , Hanifah Anis , Pratama Muhammad Aditya , Rohimsyah Fikan Mubarok
Published: September 2023

The development of technology and science is multiplying, so it affects the industrial sector in Indonesia, namely the industry that manufactures machine elements, especially in the automotive sector, which commonly uses metal as raw material. The manufacturing sector's production in the automotive industry tends to increase annually. The need for metal as raw material is constantly increasing. The WAAM welding method be utilized as one of the innovations in the industrial world that potentially reduces the use of raw metal materials by replacing them with the results of the WAAM process. In this study, a combination of GMAW and SMAW welding using the WAAM method was carried out by adding material in layers and switching between the two types of welding. The welding process is carried out by varying the current (high, medium, and low). Then, a tensile test was carried out to determine the mechanical properties of the combination results. Based on the tensile test results, it is known that the high current variation gives the best results, the increasing current lead to an enhancement of the mechanical properties. Finally, using high currents will give the best result for application in the engineering and automotive sector.
Uma exploração do Teorema de Stewart com GeoGebra: do estático ao dinâmico
Authors: Teixeira Lucas Santos , Coelho Iara Martins , Castillo Luis Andrés , Sánchez Ivonne Coromoto
Published: September 2023

Nas décadas finais do século XX e início do século XXI, têm sido de interesse educacional estudos para o estabelecimento de diálogos entre a História da Matemática e as Tecnologias Digitais. Neste trabalho, objetivamos apresentar um objeto de aprendizagem elaborado no GeoGebra para o estudo do Teorema de Stewart. Para um novo ponto de vista da demonstração do referido teorema, foi realizada uma pesquisa bibliográfica tendo como fonte primária tratados antigos de matemática, com o intuito de promover o ensino de conteúdos da geometria euclidiana plana. São discutidas as formas de uso do GeoGebra como ferramenta de representação e comunicação do conhecimento matemático, de visualização e de descoberta na verificação e exploração do Teorema de Stewart, materializada por informações históricas com o GeoGebra. A experiência do uso do objeto de aprendizagem permitiu a visualização de casos particulares como também possibilitou abordar outras situações geradas ao explorar o comportamento dos comprimentos dos segmentos em função da localização do ponto D na ceviana.
Analysis of the Role of Family Support in Treatment Compliance of Pulmonary Tuberculosis Clients
Authors: Sugiyanto Sugiyanto , Sigala Aprianti
Published: September 2023

Pulmonary tuberculosis is a deadly infectious disease caused by Mycobacterium tuberculosis. Pulmonary tuberculosis is very easily resistant to drugs, so treating it takes a long time. In the process of treatment, the role of the family is needed as the closest unit to the patient to supervise. This study aimed to determine the relationship between the part of family support and adherence to treatment of pulmonary tuberculosis clients. The research design used was analytic descriptive research with a cross-sectional study approach. The sample in this study was 30 people, who were taken using the total sampling technique—data analysis using Chi-square on SPSS. The results showed that the role of a good family was 53.3% and less was 46.7%. The frequency of client compliance is 80% and 20% non-compliant. The results of the statistical test showed that the p-value was smaller than the ? value, which meant that there was a relationship between the role of family support and adherence to treatment for pulmonary tuberculosis clients in the working area of ??the Wara Public Health Center, Palopo City, South Sulawesi Province, Indonesia. The long process of treating pulmonary TB will result in boredom and boredom in patients. Therefore, the family has an important role in monitoring and increasing the motivation of pulmonary TB patients to remain consistent in the treatment process. As the frontline in disease prevention and rehabilitation, health workers must always be active in providing health education to the community, especially to families of pulmonary TB sufferers, about the importance of family support in the patient's treatment process.
TINGKAT KEPATUHAN, PENGETAHUAN, DAN PERAN KELUARGA TERHADAP PASIEN HIPERTENSI RAWAT JALAN SELAMA PANDEMI COVID-19 DI RSUD Dr. PIRNGADI KOTA MEDAN
Authors: Hasanah Fenny , Dasopang Eva Sartika , Siahaan Desi Natalia , Simbolon Waldiana Rahmadani
Published: September 2023

Hipertensi disebut sebagai "silent killer", adalah salah satu penyakit terkuat yang dihadapi umat manusia saat ini dan harus dibahas seperti itu. Jika tekanan darah sistolik dan diastolik seseorang mencapai 140 mmHg, mereka dianggap hipertensi. Kebaruan penelitian ini karena meneliti tingkat kepatuhan, pengetahuan, dan peran keluarga terhadap pasien hipertensi rawat jalan selama pandemi Covid-19. Tujuan penelitian ini untuk menganalisis hubungan tingkat kepatuhan, kesadaran, dan partisipasi orang tua pada pasien hipertensi rawat jalan di RSUD Dr. Pirngadi Kota Medan selama wabah Covid-19. Metode penelitian digunakan dengan cara deskriptif cross sectional. Sampel dalam penelitian ini adalah 86 responden yang merupakan pasien hipertensi arteri yang menerima perawatan rawat jalan. Hasil penelitian diperoleh bahwa tingkat kepatuhan minum obat pada pasien hipertensi rawat jalan di RSUD Dr. Pirngadi Kota Medan mayoritas tergolong tinggi (64,5%), tingkat pengetahuan tentang hipertensi pada pasien hipertensi rawat jalan di RSUD Dr. Pirngadi Kota Medan mayoritas tergolong tinggi (91,8%) dan tingkat peran keluarga terhadap pasien hipertensi rawat jalan di RSUD Dr. Pirngadi kota medan mayoritas tergolong kurang (94,5%). Kesimpulan penelitian ini adalah tidak terdapat hubungan yang bermakna antara tingkat pengetahuan dan peran keluarga terhadap tingkat kepatuhan minum obat pasien hipertensi rawat jalan di RSUD Dr. Pirngadi Kota Medan.
PENGARUH TEKNIK MASSAGE COUNTER PRESSURE TERHADAP PENGURANGAN RASA NYERI PERSALINAN KALA I
Authors: Hairunisyah Rika , Jamila Jamila , Setiawati Setiawati
Published: September 2023

Nyeri persalinan pada wanita primipara lebih tinggi bila dibandingkan multipara. Saat ini sudah banyak teknik non farmakologi yang dikembangkan untuk mengatasi nyeri salah satunya adalah counterpressure. Namun demikian efeknya masih perlu diteliti lebih lanjut. Kebaruan penelitian karena menganalisis pengaruh teknik massage counter pressure terhadap pengurangan nyeri persalinan kala I pada Ibu bersalin. Tujuan penelitian ini untuk menganalisis pengaruh teknik massage counter pressure terhadap pengurangan nyeri persalinan kala I pada Ibu bersalin di Wilayah Praktik Mandiri Bidan (PMB) Yuniarti Muara Enim. Metode penelitian ini menggunakan desain Quasi Eksperimen dengan pendekatan Pretest-Posttest with Control Group. Subjek penelitian terdiri dari 60 sampel dengan 30 kelompok kontrol dan 30 kelompok intervensi. Pengukuran nyeri menggunakan Numeric Rating Scale. Uji statistic yang digunakan yaitu uji T Independent Test. Hasil penelitian didapatkan rata-rata penurunan nyeri persalinan kala I pada kelompok kontrol lebih sedikit dibandingkan dengan penurunan nyeri pada kelompok intervensi yaitu -0,93 (1,46):-2,00 (1,23). Hasil uji statistic menunjukkan bahwa ada perbedaan bermakna penurunan nyeri persalinan pada kedua kelompok (P-value=0,003) yang berarti bahwa teknik massage counter pressure berpengaruh terhadap pengurangan nyeri persalinan kala I pada Ibu bersalin. Kesimpulannya yaitu terdapat pengaruh teknik massage counter pressure terhadap pengurangan nyeri persalinan kala I pada Ibu bersalin.
Pengaruh Model Cooperative Integrated Reading and Composition terhadap Keterampilan Membaca Pemahaman Siswa Kelas VIII SMP Perguruan Islam Ar-Risalah
Authors: Herdian Feri , Ramadhan Syahrul
Published: September 2023

This article was written to describe the effect of Cooperative Integrated Reading and Composition (CIRC) Learning Model to comprehension reading skills the eighth grade students of SMP Perguruan Islam Ar-Risalah. This research was a quantitative research with descriptive method which used one group pretest and posttest design. The population in this research was 180 people however just one class become the sample in this research. The sample was determined with purposive sampling method and the choosen class was VIII Jizan Class with 30 students. The data of this research is score of comprehension reading skill test before and after using CIRC Learning Model. There were three things that obtained. First, the comprehension reading skill of the eighth grade students of SMP Perguruan Islam Ar-Risalah before using CIRC Learning Model (82,9), Second, the comprehension reading skill of the eight grade students of SMP Perguruan Islam Ar-Risalah after using CIRC Learning Model (87,2), and Third, based on the test with level 0,95 has obtained tcounted > ttable (2,62>1,69). It concluded that H1 was accepted. It was meant there were a significant effect from using CIRC Learning Model to the comprehension reading skills of the eighth grade students of SMP Perguruan Islam Ar-Risalah.
Pengelolaan Kelas dalam Pembelajaran Pendidikan Agama Islam di SDIT Binaul Fikri Serang Baru, Bekasi
Authors: Setyaningsih Faras Afifah , Karyawati Lilis , Karnia Nia
Published: September 2023

Education is the center of teaching and learning activities in the classroom. To achieve the success of educational goals, a professional teacher is needed, one of the criteria for a professional teacher is to be able to manage the class properly and effectively. PAI teachers especially those who teach in the religious field, to achieve the goals of Islamic education, PAI teachers need to pay attention to class management. The purpose of this study is to describe the form of approach and fostering class discipline as well as the constraints and solutions carried out by educators in managing classes in Islamic Religious Education learning at SDIT Binaul Fikri Serang Baru, Bekasi. The research method used is descriptive qualitative with the type of field research. Data collection techniques used are interviews, observation, and documentation. Data analysis uses the Miles and Huberman models. The results of the research show that; (1) The form of the approach used by Islamic Religious Education teachers is a varied approach, including a socio-emotional approach and a permissive approach; (2) The form of classroom discipline that is applied is the conversion method with cooperative control disciplinary techniques; (3) Obstacles faced by PAI teachers in managing classes come from individual and group problems, but these problems can be overcome by preventive methods such as opening, empathy, conversion, accepting and appreciating students as well as curative ways by imposing sanctions.
Analisis Kemampuan Siswa Kelas IV SD dalam Menyelesaikan Soal Cerita Matematika pada Topik FPB dan KPK
Authors: Nurvaida Devi , Amin Siti Maghfirotun , Nafiah Nafiah , Hartatik Sri
Published: September 2023

Dalam menyelesaikan soal cerita matematika tidak hanya dibutuhkan jawaban yang benar, tetapi siswa mampu memahami proses dalam memperoleh jawaban soal cerita. Agar guru dapat menilai kemampuan setiap siswa, siswa diharapkan dapat menyelesaikan soal cerita menggunakan tahapan polya secara berurutan. Tahapan tersebut meliputi memahami masalah, menyusun rencana untuk menyelesaikan masalah, melaksanakan rencana yang telah disusun, dan memeriksa ulang jawaban yang diperoleh. Tujuan penelitian ini yaitu untuk menganalisis kemampuan siswa Kelas IV di SDN 152 Gresik dalam menyelesaikan soal cerita matematika pada materi FPB dan KPK. Penelitian ini menggunakan metode penelitian deskriptif kualitatif. Sumber data penelitian ini yaitu siswa Kelas IV SDN 152 Gresik sebanyak 18 Orang. Teknik pengumpulan data yang digunakan peneliti yaitu tes tulis dan wawancara. Teknik analisis data dalam penelitian ini dilakukan melalui 3 tahap meliputi tahap reduksi data, penyajian data, dan penarikan kesimpulan. Berdasarkan hasil analisis data dapat diketahui bahwa kemampuan siswa Kelas IV dalam menyelesaikan soal cerita matematika di SDN 152 Gresik berbeda-beda. Terdapat 1 siswa dengan kemampuan penyelesaian soal cerita tinggi, 9 siswa dengan kemampuan penyelesaian soal cerita sedang, dan 8 siswa dengan kemampuan penyelesaian soal cerita rendah. Siswa dengan kemampuan penyelesaian soal cerita tinggi mampu menyelesaikan semua soal cerita sesuai tahapan polya dengan benar, siswa dengan kemampuan penyelesaian soal cerita sedang hanya mampu menyelesaikan 3-4 soal sesuai tahapan polya dengan benar, dan siswa dengan kemampuan penyelesaian soal cerita rendah hampir mampu menyelesaikan 3 soal cerita sesuai tahapan polya.
An Agent-based Simulation Modeling for Studying Resource Management in the Clouds
Authors: Dong Dapeng
Published: September 2023

Driven by the successful service model and growing demand, cloud computing has evolved from a moderate-sized data center consisting of homogeneous resources to a heterogeneous hyper-scale computing ecosystem. This evolution has made the modern cloud environment increasingly complex. Large-scale empirical studies of essential concepts such as resource allocation, virtual machine migration, and operational cost reduction have typically been conducted using simulations. This paper presents an agent-based cloud simulation model for resource management. The focus is on how service placement strategies, service migration, and server consolidation affect the overall performance of homogeneous and heterogeneous clouds, in terms of energy consumption, resource utilization, and violation of service-level agreements. The main cloud elements are modeled as autonomous agents whose properties are encapsulated. The complex relationships between components are realized through asynchronous agent-to-agent interactions. Operating states and statistics are displayed in real-time. In the evaluation, the efficiency of the simulator is studied empirically. The performance of various resource management algorithms is assessed using statistical methods, and the accuracy of server energy consumption models is also examined. The results show that agent-based models can accurately reflect cloud status at a fine-grained level.
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
Authors: Wu Zhiyuan , Sun Sheng , Wang Yuwei , Liu Min , Xu Ke , Wang Wen , Jiang Xuefeng , Gao Bo , Lu Jinda
Published: September 2023

Edge Intelligence (EI) enables Artificial Intelligence (AI) applications to run at the edge, where data analysis and decision-making can be performed in real-time and close to data sources.

To protect data privacy and unify data silos distributed among end devices in EI, Federated Learning (FL) is proposed for collaborative training shared AI models across multiple devices without compromising data security.

However, the prevailing FL approaches cannot guarantee model generalization and adaptation on heterogeneous clients.

Recently, Personalized Federated Learning (PFL) has drawn growing awareness in EI, as it enables striking a productive balance between local-specific training requirements inherent in devices and global-generalized optimization objectives for satisfactory performance.

However, most existing PFL methods are based on the Parameters Interaction-based Architecture (PIA) represented by FedAvg, which causes unaffordable communication burdens due to large-scale parameters transmission between devices and the edge server.

In contrast, Logits Interaction-based Architecture (LIA) enables to update model parameters with logits transfer, and gains the advantages of communication lightweight and heterogeneous on-device model allowance compared to PIA. Nevertheless, previous LIA methods attempt to achieve satisfactory performance either relying on unrealistic public datasets or increasing communication overhead for additional information transmission other than logits.

To tackle this dilemma, we propose a knowledge cache-driven PFL architecture, named FedCache, which reserves a knowledge cache on the server for fetching personalized knowledge from the samples with similar hashes to each given on-device sample.

During the training phase, ensemble distillation is applied to on-device models for constructive optimization with personalized knowledge transferred from the server-side knowledge cache.

Empirical experiments on four datasets demonstrate the comparable performance of FedCache with state-of-art PFL approaches, with more than two orders of magnitude improvements in communication efficiency. Our code and DEMO are available at https://github.com/wuzhiyuan2000/FedCache.
Repair Schemes of Rack-Aware Reed-Solomon Codes: Providing A Tradeoff Between the Sub-Packetization Size and the Cross-Rack Repair Bandwidth
Authors: Lin Xing
Published: September 2023

In practical data centers,  storage nodes are grouped and distributed in different racks, where the communication cost across racks is much more expensive than that within rack.  The concept of rack-aware maximum distance separable (MDS) codes has been put forward in recent literatures to deal with rack architecture. In this paper, the cross-rack repair bandwidth and sub-packetization size of rack-aware Reed-Solomon (RS) codes are studied. Cross-rack repair bandwidth is defined as the amount of information transmitted between the racks in the repair process of a failed node. RS codes can be regarded as polynomials over a finite field $GF(q^t)$ evaluated at a set of points, where $t$ is referred to as the sub-packetization size. Smaller cross-rack repair bandwidth decreases the network usage in data centers, and smaller sub-packetization size is conducive to the implementation of RS code with lower complexity. Previous RS codes that reach the rack-aware cut-set bound on cross-rack repair bandwidth either have sub-packetization size exponential in the code length or require strictly limited parameter conditions.

In this paper, the lower bound on the cross-rack repair bandwidth related to  sub-packetization size for rack-aware RS codes is given, which is asymptotically reachable under some parameters, and three repair schemes of rack-aware RS codes which provide a tradeoff between the sub-packetization size and the cross-rack repair bandwidth are shown.
Sensor Capsules with Augmented Reality Integration
Authors: Somayajula Chinmay , Somayajula Nagesh
Published: September 2023

This study introduces a groundbreaking idea: using swallowable sensor capsules with augmented reality (AR) to conduct real-time, high-resolution examinations of the human body. These capsules, ingested like pills, transmit data as they pass through the body. Physicians can then use AR headsets to view this data as a 3D model of the organ or tissue being examined, along with sensor readings and a miniature endoscopic view. While there are technical challenges to overcome, this innovation has the potential to revolutionize non-invasive examinations of the digestive tract and internal cavities, improving the diagnosis of conditions like inflammation, infections, and cancers. With further technological development, swallowable sensor capsules with AR integration could become a valuable complement to traditional medical imaging methods, offering dynamic 3D visualizations of the body's inner workings. 
Semantic communications for image-based sign language transmission
Authors: Kouvakis Vasileios , Trevlakis Stylianos , Boulogeorgos Alexandros-Apostolos A.
Published: September 2023

This paper introduces a semantic communications architecture that is focused on the transmission of american sign language (ASL). Initially, a novel system model for image-based semantic communications is presented, which utilizes a variant of the quadrature amplitude modulation (QAM) scheme, named 24-QAM. This modulation scheme is derived from the original 32-QAM constellation by removing 8 peripheral symbols and is proven capable of attaining superior error performance in ASL applications. Additionally, a semantic encoder based on a convolutional neural network (CNN) which effectively utilizes the ASL alphabet is presented. An original dataset is created by superimposing redgreen- blue landmarks and key-points on top of the captured images; hence, enhancing the representation of hand posture. Finally, the training, testing, and communication performance of the proposed system is quantified through numerical results that highlight the achievable gains and trigger insightful discussions.
Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning
Authors: Qin Hao , Wu Zhaozhou , Zhang Xingqi
Published: September 2023

Cellular-connected unmanned aerial vehicles (UAVs) have gained increasing attention due to their potential to enhance conventional UAV capabilities by leveraging existing cellular infrastructure for reliable communications between UAVs and base stations. They have been used for various applications, including weather forecasting and search and rescue operations. However, under extreme weather conditions such as rainfall, it is challenging for the trajectory design of cellular UAVs, due to weak coverage regions in the sky, limitations of UAV flying time, and signal attenuation caused by raindrops. To this end, this paper proposes a physics-based trajectory design approach for cellular-connected UAVs in rainy environments. A physics-based electromagnetic simulator is utilized to take into account detailed environment information and the impact of rain on radio wave propagation. The trajectory optimization problem is formulated to jointly consider UAV flying time and signal-to-interference ratio, and is solved through a Markov decision process using deep reinforcement learning algorithms based on multi-step learning and double Q-learning. Optimal UAV trajectories are compared in examples with homogeneous atmosphere medium and rain medium. Additionally, a thorough study of varying weather conditions on trajectory design is provided, and the impact of weight coefficients in the problem formulation is discussed. The proposed approach has demonstrated great potential for UAV trajectory design under rainy weather conditions. 
Bridging the Digital Divide
Authors: Matracia Maurilio , Rahman Aniq Ur , Wang Ruibo , kishk mustafa , Alouini Mohamed-Slim
Published: September 2023

Digital divide refers to the gap between populations at different socio-economic levels with respect to their access to the Internet and communication technologies in general.

In this chapter, we summarize the recent developments aimed at bridging such inequality from a technical and economic standpoint.

After a preliminary discussion on alternative backhaul paradigms, we focus on space-, air-, and ground-based communication paradigms, as well as their integration.

Subsequently, we discuss the affordability of these solutions, as it is primarily the economic aspect which hinders digital inclusion.
Pre-Training Representations of Binary Code Using Contrastive Learning
Authors: Zhang Yifan , Huang Chen , Zhang Yueke , Cao Kevin , Anderson Scott , Shao Huajie , Leach Kevin , Huang Yu
Published: September 2023

Binary code analysis and comprehension is critical to applications in reverse engineering and computer security tasks where source code is not available. Unfortunately, unlike source code, binary code lacks semantics and is more difficult for human engineers to understand and analyze. Limited work has explored incorporating multiple program representations. In this paper, we present ContraBin, a contrastive learning technique that integrates source code and comment information along with binaries to create an embedding capable of aiding binary analysis and comprehension tasks. Specifically, we present three components in ContraBin: (1) a primary contrastive learning method for initial pre-training, (2) a simplex interpolation method to integrate source code, comments, and binary code, and (3) an intermediate representation learning algorithm to train a binary code embedding. We evaluate the effectiveness of ContraBin through four indicative downstream tasks related to binary code: algorithmic functionality classification, function name recovery, code summarization, and reverse engineering. The results show that ContraBin considerably improves performance on all four tasks, measured by accuracy, mean of average precision, and BLEU scores as appropriate. ContraBin is the first language representation model to incorporate source code, binary code, and comments into contrastive code representation learning and is intended to contribute to the field of binary code analysis. The dataset used in this study is available for further research.
Emerging Trends in MF/HF Isolated AC-AC/DC-AC/AC-DC Matrix Converter Topologies: A Comprehensive Review
Authors: Mahmud Tahmin , Gao Hang
Published: September 2023

The isolated AC-AC/DC-AC/AC-DC matrix converter (MC) is an innovative topology with several benefits including minimum current harmonics, nearly unity power factor, four quadrant (4Q) operation, and bidirectional power flow, making it an ideal choice for energy conversion techniques. Unlike any other AC-AC/DC-AC/AC-DC topologies, the MC topology necessitates electrical medium-frequency (MF)/high-frequency (HF) isolation in order to offer single-stage power conversion. MF/HF power conversion topology has numerous advantages such as high-power density, reduced weight, and low noise while preserving converter’s efficiency, cost, and reliability. This paper aims to report an extensive analysis and classification of different conventional isolated single-stage AC-AC converter, DC-AC inverter, and AC-DC rectifier topologies along with their modified system architecture. In this paper, the AC-AC/DC-AC/AC-DC topologies are classified based on their system architecture, AC-side or DC-side drive techniques, and other subvariants. Our primary objective of this study is to impart a clear understanding of the overarching framework and principles of the isolated AC-AC/DC-AC/AC-DC MC topologies and stimulate the creation of new topologies that cater to specific grid-interconnection requirement.
PAMeT-SNN: Predictive Associative Memory for Multiple Time Series based on Spiking Neural Networks with Case Studies in Economics and Finance
Authors: AbouHassan Iman , Kasabov Nikola , Bankar Tanmay , Garg Rishabh , Sen Bhattacharya Basabdatta
Published: September 2023

 This paper offers for the first time a novel method for creating Predictive Associative Memories of Time series (PAMeT), where a full set of time series variables is used to create a machine learning predictive model (global learning), and afterward, only a few temporal variables are used at a shorter time to recall the model on new data (local recall). Inspired by human brain processes, PAMeT-SNN leverages the brain-inspired SNN NeuCube and the concept of spatio-temporal associative memories (STAM). PAMeT-SNN is a 4-dimensional spatio-temporal structure. First, it encodes time series data into spike sequences that reflects on the changes in the data over time and then maps the temporal variables into the SNN using temporal similarity to define the spatial locations of the variables in the SNN. It then learns temporal associations between a full set of time series variables, thereby memorizing these temporal associations as spatio-temporal connections between neurons. These connections are activated when only part of the time series data is used to recall the model on new data. The proposed groundbreaking method is exemplified with PAMeT-SNN for predictive modeling on two distinct case study time series data sets: trade dynamics and commodity prices. In these case studies, the method effectively captures the intricate data dynamics, enabling accurate forecasting of future values using a minimal set of variables. The method has the potential to be applied in diverse domains.  
A New Repair-Efficient Piggybacking Design for Systematic Nodes
Authors: Lin Xing
Published: September 2023

Due to the advantage of providing maximum data reliability at a given storage cost, $(k+r,k)$ maximum distance separable (MDS) array codes, in which all data symbols can be obtained by any $k$ of $k+r$ nodes, are extensively used in distributed storage systems. $(k+r,k,\alpha)$ piggybacking codes, which are a particular kind of $(k+r,k)$ MDS array codes, reaches low repair bandwidth for a failed single node and possesses small sub-packetization level $\alpha$. In this paper, by dividing the table formed by some instances of base MDS code into regions and carefully adding the data symbols in some regions as piggybacks to the parity symbols in some other regions, we design a new piggybacking code which has higher repair efficiency than the existing piggybacking codes in repairing each systematic node, where a node is said to be systematic if it keeps  portions of the raw message in reserve without encoding. The sub-packetization level is roughly equal to 2 times the number $r$ of parity nodes when the new piggybacking code attains the highest repair efficiency.
Protecting Privacy while Improving Choroid Layer Segmentation in OCT Images: A GAN-based Image Synthesis Approach
Authors: Vupparaboina Kiran Kumar , Ibrahim Mohammed Nasar , Selvam Amrish , Kurakula Shiva Vaishnavi , Mohammed Abdul Rasheed , Mayer Natasha , Sahel José Alain , Chhablani Jay , Bollepalli Sandeep Chandra
Published: September 2023

THIS WORK HAS BEEN SUBMITTED TO THE MACHINE LEARNING: SCIENCE AND TECHNOLOGY FOR POSSIBLE PUBLICATION. COPYRIGHT MAY BE TRANSFERRED WITHOUT NOTICE, AFTER WHICH THIS VERSION MAY NO LONGER BE ACCESSIBLE.

The choroid, positioned behind the retina, nourishes the retina by supplying oxygen and nutrients. Choroidal structural changes are associated with severe vision-threatening conditions including age-related macular degeneration (AMD) and central serous chorioretinopathy (CSCR). Optical Coherence Tomography (OCT) imaging enables the visualization of choroidal changes, and clinicians rely on quantifying choroidal biomarkers through segmentation of the choroid layer in OCT scans for precise diagnosis and disease management. Accordingly, various attempts are made at automated choroid layer segmentation, however, their practicality is constrained by the limited and biased nature of training data. Privacy regulations hinder data aggregation, and supervised machine learning requires substantial annotated data. To tackle this, we propose an innovative image synthesis approach using generative adversarial networks (GANs). It involves a three-step process: generation of choroid-labeled B-scans using a standard GAN architecture, the transformation of these scans to unlabeled B-scans via Pix2Pix-GAN, and the training of a Pix2Pix-GAN choroid segmentation model using the synthesized data. To demonstrate the generalizability and efficacy, we evaluated the proposed choroid segmentation algorithm on the real B-scans from two different OCT imaging devices: enhanced depth imaging (EDI) and swept-source (SS) OCT, yielding Dice coefficient values of84.84% and 85.15%, respectively, buttressing its effective-ness. Further, qualitative performance analysis, including manual grading, confirms that the synthesized choroid-labeled images are distinct from real images, thus ensuring data privacy. The proposed methodology marks an initial step towards developing a comprehensive choroid layer quantification tool using synthetic images, and its adaptability makes it versatile for various medical image segmentation challenges. 
Impact of exogenous pre and postharvest salicylic acid applications on MD2 pineapple quality
Authors: Cano-Reinoso Diego Mauricio , Wibowo Condro
Published: September 2023

Salicylic acid (SA) is a natural plant compound that has been proven to enhance the quality of fruits; therefore, its impact on pineapple should be further studied, especially in the most marketable hybrids. This study aimed to evaluate the effect of SA treatments on MD2 pineapple quality. The experiment consisted of two parts with applications pre and postharvest following the next treatments, control: No use of SA, and 5, 7 and 9 mM of SA. The total soluble solids, total acidity, ascorbic acid content, respiration rate, together with the severity and incidence of internal browning and flesh translucency were determined, after 40 days of cold storage. The treatment using 9 mM of SA in pre and postharvest delivered the best results, having the most elevated ascorbic acid (526.75 mg kg-1) and total acidity (0.8%), the lowest severity and incidence outcomes of internal browning and flesh translucency (0% in both cases), with the most reduced respiration rate values during postharvest. In conclusion, SA treatments with concentrations of 9 mM applied in pre and postharvest on MD2 pineapple can improve its quality after 40 days of cold storage.
Application of essential oils and optimizing storage conditions for control of postharvest diseases in apple
Authors: Al-Hassanavi H.R. , Rostami Tobnag Ghader , Shokri R.
Published: September 2023

Postharvest loss in fruits and vegetables accounts for more than one third of the world production. On the other hand, using chemicals has raised food health concerns, and grown the demand for eco-friendly materials. Given the promising results of essential oil use to control and prevent postharvest decay, we conducted this research. In the present study, a two-step statistical method was used to determine and optimize application of essential oils along with parameters of storage conditions. Significant level of essential oils and storage conditions (temperature, ventilation, and relative humidity) were screened by using PBD method and the best concentration were determined by central composite design of response surface method. The results showed that 1000 and 1500 microgram/l (µg/l) of basil essential oils, and 1500 µg/l of peppermint essential oils reduced the lesion diameter in apple fruits infected with Penicillium expansum. All storage conditions had significant effect on postharvest decay. Based on the CCD of RSM method, the best concentration of essential oils and the optimal level of the storage condition were determined. Furthermore, basil and peppermint treatments reduced rate of the ethylene production during 56 days after treatment. The results of this study revealed and confirmed that basil essential oils as a postharvest treatment under optimized storage conditions can be utilized as a low-cost substrate for controlling postharvest decay in apple.
Ethanol fermentation- and ethylene physiology-related gene expression profiles in Red Delicious apples stored under variable hypoxic conditions and protocols
Authors: Salamé Elige , Brizzolara Stefano , Rodriguez Marta , Iob Matteo , Tonutti Pietro , Ruperti Benedetto
Published: September 2023

Dynamic Controlled Atmosphere (DCA) is beneficial in maintaining specific quality parameters but, due to the extreme oxygen levels applied, can cause adverse effects on the fruit by inducing excessive anaerobic metabolism and the production of off-flavors. The metabolic adaptation and responses of apples (Malus domestica Borkh.) cv. Red Delicious to static or dynamic oxygen concentrations (0.3 and 0.8%, with sequential shifts) during cold storage for 7 months were studied by monitoring quality parameters and the expression of genes involved in sugar, fermentative metabolism, and ethylene physiology. Ethanol content reached the highest levels (around 400 mg/kg FW) under 0.3% oxygen concentration and fruit firmness appeared to be reduced in samples accumulating the highest levels of ethanol. Oxygen switch was effective in reducing the ethanol concentrations with timing-dependent variable effects. The expression of fermentative (alcohol dehydrogenase, lactate dehydrogenase, pyruvate decarboxylase) and sugar metabolism (β-amylase; phosphofructokinase; sucrose synthase) genes resulted to be differently affected by the hypoxic conditions imposed, in particular during the early stages of storage. Sucrose synthase expression appeared to be highly sensitive to changes in low oxygen concentration. Ethylene biosynthesis (ACC synthase and oxidase) genes showed marked differences in their expression in relation to the static and dynamic protocols and the hypoxic conditions, as well as six Ethylene Responsive Factors (ERF) genes, some of them possibly involved in the oxygen sensing mechanism operating in fruit tissues.
Percepción de los estudiantes de trabajo social de la Corporación Universitaria Minuto de Dios sede Bucaramanga, en el cuidado de la salud mental y con respecto a la responsabilidad social universitaria
Authors: Pinzón Velasco Claudia Consuelo , Gualdrón Porras Tatiana , Ramírez Oliveros Erika Patricia , Silva Giraldo Cesar Augusto , Rueda Mahecha Yohanna Milena , Dugarte Mendoza Juan Sebastián , Rodríguez Quiñónez Diana Alexandra , Pérez Olmos Liliana Margarita , Niño Liévano Fabio Augusto , González Clavijo Liliana Patricia , Suarez Suarez David Andrés , Caballero Márquez José Alonso
Published: September 2023

Investigación de tipo cuantitativo con enfoque descriptivo realizada a estudiantes de Trabajo social de la Corporación Universitaria Minuto de Dios sede Bucaramanga a partir del sexto semestre académico del 2023, con el fin de analizar la percepción de los estudiantes en el cuidado de la salud mental de la universidad, con respecto a la responsabilidad social universitaria. Se tomó una muestra de 50 estudiantes a conveniencia del investigador. Los resultados arrojados muestran con claridad el conocimiento de los conceptos de salud integral y salud mental de parte de los estudiantes. De igual manera, la mitad de los estudiantes entrevistados conoce de los programas o proyectos realizados por la Corporación universitaria minuto de Dios sede Bucaramanga para promover la salud integral de los estudiantes. Al igual, consideran relevante incluir el aspecto de la salud mental en una materia fundamental de la ISO 26000 de responsabilidad social.
ماهية الشعر عند حازم القرطاجني في كتابه (منهاج البلغاء وسراج الأدباء)
Authors: العبادي عبد الله
Published: September 2023

أكَّد البحث على علاقة دراسة ماهية الشعر بالفلسفة منذ أقدم العصور، فقد عُرِفَ كتاب (فن الشعر) لأرسطو عبر العصور، وترجمه السريان إلى لغتهم، ثمَّ ترجمه السريان بأمرٍ من المسلمين إلى العربية، إبَّان ازدهار الحضارة الإسلامية في القرن الثالث الهجري، ودرسه الفلاسفة المسلمون مثل الكندي والفارابي وابن سينا وابن رشد، ولخَّصوه وشرحوه، محاولين تطوير هذه الآراء والنظرات الفلسفية المعمقة لماهية الشعر والشعر العربي خاصة، حتَّى إذا جاء القرن السابع الهجري عصر حازم القرطاجني، وجدنا حازماً هاضماً لكلِّ الفلسفات (اليونانية والعربية) التي تقدمته، مقدماً نظريته الفذَّة في ماهية الشعر في كتابه (منهاج البلغاء وسراج الأدباء)، التي أظهرت أنَّ ماهية الشعر ترجع للتخييل والمحاكاة، على تفصيل بيَّنه هذا البحث المتواضع الذي بين يديك قارئي الكريم.
نظرة جديدة في تحليل مشاهد الصيد في فنون بلاد الرافدين خلال الالف الثالث والالف الثاني ق.م
Authors: العارضي حسن
Published: September 2023

يعود تاريخ مهنة الصيد إلى عصور مبكرة من حضارة بلاد الرافدين، اذ سبقت معرفة الانسان للزراعة وتدجين الحيوان، فقد اعتمد الانسان آنذاك في تأمين قوته على الصيد وجمع النباتات البرية والتقاط الثمار, وبما ان الكتابة لم تكن اخترعت بعد لذا يعتمد علماء الآثار على بعض الشواهد المادية المتمثلة بأدوات وآلات الصيد المستعملة في ذلك الوقت ومعظمها ادوات حجرية, ومطلع العصور التاريخية كشفت لنا النصوص المكتوبة بالخط المسماري عن مدى اهتمام سكان بلاد الرافدين بهذه المهنة التي باتت مصدراً اقتصادياً مهماً في حياة السكان، ولأهميتها الاقتصادية فقد ذكرت في النصوص المسمارية السومرية والاكدية واصبحت من الركائز الأساسية التي يعتمد عليها اقتصاد المدن, وكان الصيادون يمثلون فئة مهمة من فئات المجتمع، إذ كان بعضهم يعمل لمنفعة شخصية غير تابع الدولة، والبعض يعمل لصالح القصر والبعض الاخر للمعبد وكانت تترتب عليهم واجبات عمل تجاه القصر والمعبد لتقاضيهم اجور عمل من الدولة, ويعكس لنا الكم الهائل من المنجزات الفنية التي ابدع في تشكليها الفنان الرافديني القديم الدور الحضاري الكبير للنحات الرافديني في تفاعله مع المجتمع لنقل صورة واضحة عن الحياة والممارسات اليومية للمجتمع، كما ان الدلالة الفنية لموضوع الصيد بالتحديد تؤكد بنحو او باخر ايدولوجية ذلك العصر فالأفكار التي يعبر عنها الاطار العام للمشهد الفني ماهي الا انعكاس لتوليفة المجتمع الذي يعيش به وبالتالي يكون الفن بجميع عناصره تحت تأثير المجتمع.
The Study of Sarcasm in Political Discourse
Authors: Iqaab Zainab , Wehail Marwa
Published: September 2023

Sarcasm is a complicated linguistic phenomenon especially in written language because changing the tone of speech makes sarcasm more apparent. Sarcasm often refers to a specific, recognizable individual and it implies criticism. Incongruity is the main characteristic that sarcastic speech contains in addition to opposition and negativity. Everyday interaction usually includes sarcasm, which affects the nature of nearly every exchange. As a result, sarcasm offers a chance for in-depth linguistic research. In this study, the researcher sets the following aims: showing which types of speech acts are used more than other types in the political contexts; shedding a light on the social functions that sarcasm serves in the political texts; and knowing the linguistic mechanisms which are employed in the political texts to reflect sarcasm. Accordingly, some hypotheses are put which are as follows: expressives are used more than other types of speech acts in the political texts; social control is the main function that sarcasm serves in the political texts; and metaphor is used frequently in political texts as a mechanism to reflect sarcasm. The researcher adopts an eclectic model which consists of three theories: Searle and Vanderveken's Speech Acts Theory (1985); Ducharme's Functions of Sarcasm (1994); and Tabacaru's Linguistic Mechanisms of Sarcasm. The analysis of the chosen political texts shows the following conclusions: assertive speech acts are used more than other types of speech acts; humorous aggression is a very common function of sarcasm in the employed political texts; and the most utilized linguistic mechanism to express sarcasm is metaphor.
حقوق الطفل في رسالة الحقوق للإمام زين العابدين علي بن الحسين (دراسة تاريخية )
Authors: الشافعي نضال
Published: September 2023

بعد رجوع الامام علي بن الحسين u من واقعة الطف في كربلاء سنة(61ه) ومشاهداته لأحداثها المروعة تيقن من انحراف المجتمع الاسلامي الذي كونه رسول الله r عن مساره الصحيح ففكر الامام لابد من وضع حلول عمليه تؤدي الى انقاذ المجتمع الاسلامي واصلاحه على ان يبدأ ذلك الاصلاح من الاسرة التي هي اساس بناء المجتمع السليم فكتب لكل شخص في الاسرة حقوقاً خاصة به وجعلها دستوراً او قانوناً الزم الجميع به فلا يمكن لأي احد ان يعتدي على حقوق الاخر حتى الطفل الصغير لم يغفل عن حقوقه فقد جعلها اساساً مهماً في تربيته لأن شخصية الانسان تتكون منذ نعومة اظافره فاذا تربى تربية سليمة انعكس ذلك على صلاح المجتمع فيعيش الانسان بأمان وسلام فيه .
Demographic Profile, Causes and Methods of Induced Abortion in a Tertiary Care Hospital, Dhaka, Bangladesh
Authors: Yasmin Elora , Ahmed Qumrun Nessa , Sultana Rifat , Eva Saima Yeasmin , Rouf Salma , Shampa Lima
Published: September 2023

Introduction: Induced abortions are those terminated by deliberate action undertaken to terminate a pregnancy. Information on the incidence of induced abortion is crucial for identifying policy and programmatic needs aimed at reducing unintended pregnancy. Because unsafe abortion is a cause of maternal morbidity and mortality, measures of its incidence are also important. This study aimed to analyze the sociodemographic characteristics of induced abortion. Methods: A descriptive cross-sectional study was conducted at the Department of Obstetrics and Gynaecology, Dhaka Medical College Hospital, Dhaka, Bangladesh. The sample was composed of 50 women who underwent induced abortion in this hospital, between January 2022 and January 2023. A simple random sampling technique was used in this study. Data were collected using a data collection sheet, processed, and analyzed by SPSS. version 22. Data were presented in tables and pie charts. The study was approved by the Ethics Committee of Dhaka Medical College Hospital. Informed written consent was taken from the respondents. Result: In this study, most of the patients (25, 50%) were in the 25-30 years age group, followed by (18, 36%) 31-35 years age group, and (7, 14%) the rest were in >35 years age group, most people (30, 60%) resided in the urban areas and most of them (35, 70%) had a monthly income of <15000 BDT, followed by (10, 20%) 15000-20000 BDT. Respondents were mostly (25, 50%) uneducated, some of them (15, 30%) passed secondary school, and (10, 20%) higher secondary school. Most of the patients (18, 36%) in this study used the barrier method for contraception, followed by (16, 32%) withdrawal method. Regarding the cause of induced abortion, unplanned pregnancy was the prominent cause (16, 32%), followed by, inadequate income (12, 24%), and contraception failure (12, 24%). Conclusion: This study concluded that most of the patients aged between 25 to 30 years and most of them resided in urban areas having a low monthly income, and poor education level. Some prominent causes of induced abortion were unplanned pregnancy, inadequate income, and contraceptive failure.
Analisis Ekspor Kopi Indonesia
Authors: Syofya Heppi
Published: September 2023

In a country's economy, one aspect that must be fulfilled is international trade. International trade is a driving force in achieving an overall economic level to increase the potential of a country. The purpose of this study is to analyze Indonesia's coffee exports in 2012-2021 using quantitative methods with multiple linear regression models. The data in this study comes from the Central Bureau of Statistics and Bank Indonesia. The results showed that the area of plantation land, total coffee production, Indonesian coffee price, GDP per capita, inflation and exchange rate had no significant effect on Indonesian coffee exports. With reference to these results, Indonesian coffee exports are still unable to be driven by research variables which are actually the hope in achieving high export levels. For this reason, policies are needed so that Indonesian coffee exports can compete in quality, price and partner with countries that are the main source of international trade.