Reviewerly/exHarmony huggingface dataset:
BRsyn-Caps: Chinese Text Classification Using Capsule Network Based on Bert and Dependency Syntax

Authors:
raw_author_name: Jie LUO
raw_affiliation_string: Hubei Key Laboratory of Intelligent Robot and the School of Computer Science and Engineering, Wuhan Institute of Technology
raw_author_name: Chengwan HE
raw_affiliation_string: Hubei Key Laboratory of Intelligent Robot and the School of Computer Science and Engineering, Wuhan Institute of Technology
raw_author_name: Hongwei LUO
raw_affiliation_string: Hubei Key Laboratory of Intelligent Robot and the School of Computer Science and Engineering, Wuhan Institute of Technology

Abstract: Text classification is a fundamental task in natural language processing, which finds extensive applications in various domains, such as spam detection and sentiment analysis. Syntactic information can be effectively utilized to improve the performance of neural network models in understanding the semantics of text. The Chinese text exhibits a high degree of syntactic complexity, with individual words often possessing multiple parts of speech. In this paper, we propose BRsyn-caps, a capsule network-based Chinese text classification model that leverages both Bert and dependency syntax. Our proposed approach integrates semantic information through Bert pre-training model for obtaining word representations, extracts contextual information through Long Short-term memory neural network (LSTM), encodes syntactic dependency trees through graph attention neural network, and utilizes capsule network to effectively integrate features for text classification. Additionally, we propose a character-level syntactic dependency tree adjacency matrix construction algorithm, which can introduce syntactic information into character-level representation. Experiments on five datasets demonstrate that BRsyn-caps can effectively integrate semantic, sequential, and syntactic information in text, proving the effectiveness of our proposed method for Chinese text classification.
Careers: Manan Suri: His brain-inspired computers run AI on sensors and drones

Authors:
raw_author_name: Edd Gent
raw_affiliation_string: Indian Institute of Technology Delhi, Bachelor&#x0027;s and master&#x0027;s degrees in electrical and computer engineering, both from Cornell; Ph.D. in nanoelectronics from the CEA-Leti research institute in Grenoble, France; Indian Institute of Technology Delhi, Bachelor's and master's degrees in electrical and computer engineering, both from Cornell

Abstract: In work and in life, it's easy to get stuck in your ways. That's why Manan Suri has always looked to expand his horizons both professionally and personally.
The Mediating Role of Organizational Citizenship Behavior (OCB) on Employee Performance: Locus of Control and Self-Efficacy

Authors:
raw_author_name: Safrida Safrida
raw_affiliation_string: Department of Management, Faculty of Economic & Business, Universitas Islam Sumatera Utara, Indonesia.

Abstract: This research aimed to determine and analyze the influence of locus of control, self-efficacy, and Organizational Citizenship Behavior (OCB) on employee performance, on OCB, and through OCB and to find out and analyze the influence of self-efficacy, on employee performance through OCB at a Hospital Company in Medan. The population in this study was 180 employees of the Hospital Company in Medan, with a research sample of 64 employees who were measured using the Slovin formula. The data collection techniques used in this research were questionnaires and interviews. Meanwhile, the analysis technique used SmartPLS (Partial Least Square), starting from model measurement (outer model), model structure (inner model), and hypothesis testing. The research results showed that locus of control, self-efficacy, and OCB influence employee performance, locus of control and self-efficacy influence OCB, locus of control influences employee performance through OCB and self-efficacy influences employee performance through OCB at a Hospital Company in Medan.
Digital fluency – a dynamic capability continuum

Authors:
raw_author_name: Kat Cain
raw_affiliation_string: Deakin University
raw_author_name: Jo Coldwell-Neilson
raw_affiliation_string: Deakin University

Abstract: The impact of digital technologies on the ways people work, learn and live has been debated and researched for half a century. Digital literacy approaches have recurrently been the focus of educational and industry learning; however, current framings of digital literacy are not sufficient to support students’ digital capability development, nor do static digital literacies reflect the dynamic and contextual nature of digital capabilities. A digital capability continuum that fluidly moves between digital foundation skills, digital literacies and digital fluency is a more robust model for education. By unpacking the digital capability continuum and responding to both learning and curriculum paradigms, this paper expands on an earlier framework (Coldwell-Neilson, 2020), the decoding digital literacy framework, as well as building on our research and academic experiences, to inform higher education. A key agenda is that the higher education sector frames digital fluency as a mindset and an attitude. The model and framework underscore that capabilities need to be flexible and transferable across technologies, disciplines and the world of work.
Strategic Implementation of AWS Security Services: A Focus on Best Practices, SSM and Secrets Manager

Authors:
raw_author_name: Balasubrahmanya Balakrishna

Abstract: Purpose: As organizations increasingly migrate to the cloud, ensuring robust data security becomes paramount. This technical paper explores the purpose, methodology, findings, and unique contributions in cloud security, focusing on AWS Systems Manager (SSM) and Secrets Manager. The objective is to provide a comprehensive guide for engineers and architects seeking to enhance data security in their cloud environments.&#x0D; Methodology: The comparative study conducted involves analyzing the features, capabilities, and integration possibilities of AWS SSM and Secrets Manager. Real-world use cases, best practices, and security measures associated with these services are explored through a methodology that includes hands-on exploration, case studies, and a survey of existing literature to distill critical insights.&#x0D; Findings: The paper uncovers a rich landscape of security measures facilitated by AWS SSM and Secrets Manager. Findings highlight the strengths and limitations of each service, emphasizing the importance of their integration for a holistic security approach. Automated rotation of credentials, encryption options, IAM policies, and monitoring strategies emerge as critical findings, contributing to the overall understanding of secure cloud data management.&#x0D; Unique contributor to theory, policy, and practice: This work uniquely provides a detailed comparative analysis that empowers engineers and architects to make well-informed decisions. The paper offers insights into the nuances of AWS SSM and Secrets Manager, enabling professionals to tailor their security strategies based on specific use cases and requirements. The focus on real-world scenarios and identifying best practices make this contribution practical and applicable, serving as a valuable resource for those navigating the complex landscape of cloud security engineering and architecture.
REVIEWS OF ACOUSTICAL PATENTS

Authors:
raw_author_name: Sean A. Fulop
raw_affiliation_string: Dept. of Linguistics California State University Fresno 5245 N. Backer Ave, Fresno, California 93740-8001

Abstract: The purpose of these acoustical patent reviews is to provide enough information for a Journal reader to decide whether to seek more information from the patent itself. Any opinions expressed here are those of the reviewers as individuals and are not legal opinions. Patents are available via the internet at the USPTO website.
Efficient Selection Methods in Evolutionary Algorithms

Authors:
raw_author_name: Jarosław Tomasz Stańczak
raw_affiliation_string: Systems Research Institute
Polish Academy of Science

Abstract: Evolutionary algorithms mimic some elements of the theory of evolution. The survival of individuals and the possibility of producing offspring play a huge role in the process of natural evolution. This process is called a natural selection. This mechanism is responsible for eliminating poor population members and gives the possibility of development for good ones. The evolutionary algorithm - an instance of evolution in the computer environment also requires a selection method, a computer version of natural selection. Widely used standard selection methods applied in evolutionary algorithms are usually derived from nature and prefer competition, randomness and some kind of ``fight'' among individuals. But computer environment is quite different from nature. Computer populations of individuals are usually small, they easily suffer from a premature convergence to local extremes. To avoid this drawback, computer selection methods must have different features than natural selection. In the computer selection methods randomness, fight and competition should be controlled or influenced to operate to the desired extent. Several new methods of individual selection are proposed in this work: several kinds of mixed selection, an interval selection and a taboo selection. Also advantages of passing them into the evolutionary algorithm are shown, using examples based on searching for the maximum α-clique problem and traditional TSP in comparison with traditionally considered as very efficient tournament selection, considered ineffective proportional (roulette) selection and similar classical methods.
An Emotional Artificial Intelligence Based Attendance System for Class Room

Authors:
raw_author_name: Chetan K R -

Abstract: Attendance through a camera using Artificial Intelligence (AI) and Deep Learning (DL) is a mod-ern approach to monitoring and tracking attendance in various settings such as schools, offices, and man-ufacturing facilities. It uses computer vision techniques and deep learning algorithms to automatically detect and identify individuals in an image or video captured by the camera. The process typically in-volves training the system on a dataset of labelled images of the individuals who will be taking attend-ance. This training data can include images of the individual's face, iris, or fingerprints, depending on the specific approach used. Once the system is trained, it can then use this knowledge to recognize these in-dividuals in new images captured by the camera. When an individual is recognized, the system can log their attendance in a database or other record-keeping system. This can be done in real-time, allowing for immediate tracking of attendance, or it can be done at a later time for batch processing. However, AI has been expanding its horizon and face recognition with deep learning techniques can be augmented with emotion recognition as well. Sometimes, students feel really sad and overwhelmed by their school work and other responsibilities. They might feel like they can't keep up or that they are not good enough. When these feelings last for a long time, it's called depression. Depression can make it hard for students to do their school work, be with friends and family, or even get out of bed in the morning. When students are feeling really sad and hopeless, they might think about hurting themselves or ending their lives. This is called suicide. It's important to know that suicide is preventable and there are people who can help. It's important to take care of our mental health, just like we take care of our physical health. If you ever feel sad or overwhelmed, it's important to talk to someone you trust and get help. One way to prevent suicide is to detect if someone is feeling sad and hopeless, which can be a sign of depression. One way to do this is by using a CCTV camera and AI and DL technology to analyze the person's facial expression, body language, and speech patterns. Emotional AI and DL can be a powerful tool in detecting depression but it's not a substitute for a professional diagnosis. It's always advisable to consult with a mental health pro-fessional if you suspect that you or someone you know may be struggling with depression.
Curriculum and Pedagogy in Indian Knowledge System: A Relevance Educational Practice for Today's Educational Scenario

Authors:
raw_author_name: Dr. Sambit Kumar Padhi -

Abstract: India has had a rich tradition of education and learning since ancient times, especially during the Renaissance period, which was the golden age of Indian culture. The principle of karma holds great importance in the Indian education system and has evolved during the transition. The four Vedas, namely, Rigveda, Yajurveda, Samaveda and Atharvaveda were configured through ideals, practices and conduct. In the Vedic period, two methods of teaching were prevalent, first, the oral/verbal method, and second, the method based on thinking (contemplation). Bloom's taxonomy defines three domains: learning, cognitive, affective, and psychomotor. Ancient education systems are also based on three domains, developing higher- order learning by building lower-level cognitive skills. Ancient to modern education. The current Higher Education 2020 also suggests a multidisciplinary approach on similar lines. The Vedic period saw teaching being student-centred. Listening, understanding and discussion method of oral work, reasoning used gave rise to generalization and application of knowledge. Santiniketan which follows the philosophy of Naturalism in its curricular dealings. Many other experiments of Gurukul's system are being explored in different parts of the country. It becomes imperative that we learn from our past and adopt ways of designing our curriculum and pedagogy to meaningfully address societal needs. What are the academic subjects from the past that can be included in the present day curriculum? How can the curriculum be based on Indian teachings? What instructional strategies can be integrated from the past? Through the answers to these questions, we can prepare better citizens for an advanced society by introducing an educational practice relevant to today's educational scenario. Because in ancient times, educational practices included such subjects which have relevance even today.
STRATEGI DAN TANTANGAN MANAJEMEN TEKNOMEDIA DI LEMBAGA PENDIDIKAN ANAK USIA DINI

Authors:
raw_author_name: Mega Suteki
raw_affiliation_string: Universitas Musamus, Merauke, Indonesia
raw_author_name: Retno Wuri Sulistyowati
raw_affiliation_string: Universitas Musamus, Merauke, Indonesia

Abstract: Digital learning media management is a crucial skill required by the heads of educational institutions to navigate the digital era. This research aims to depict: (1) the challenges faced by the leaders of Early Childhood Education (PAUD) institutions in Merauke City in managing technomedia in the learning process, and (2) the strategies employed by these leaders to overcome challenges in technomedia management during the learning process. The informants for this study were purposefully sampled from school principals in Merauke City. The primary challenges confronted by school principals in managing digital learning media in Early Childhood Education institutions (PAUD) include the availability of adequate technological resources, the development of teachers' skills in using technology, and the management of student data security and privacy. School principals also need to take into account parental involvement in supporting the use of digital media at home and ensure that technology use remains balanced with the physical and social activities of children. To tackle these challenges, strategies employed by school principals include organizing training and developing teachers' skills in technology use, selecting quality digital learning content, and establishing clear policies and guidelines related to technology use. Additionally, careful monitoring of students' technology use and maintaining a balance between technology use and traditional learning experiences are also emphasized. By implementing these strategies, PAUD school principals can effectively manage digital learning media, enhance the quality of early childhood education, and ensure that technology is used judiciously in the learning process.
Chatbot Informasi Penerimaan Mahasiswa Baru Menggunakan Metode FastText dan LSTM

Authors:
raw_author_name: Agus Komarudin
raw_affiliation_string: Universitas Jenderal Achmad Yani

Abstract: New Student Admission (PMB) is an important stage in the continuity of education in an educational institution. The Faculty of Science and Informatics (FSI) at Jenderal Achmad Yani University (UNJANI) provides information services about PMB to prospective students and parents/guardians of prospective students but is still inefficient, so it is necessary to improve PMB information services by using Chatbots as a solution that is able to serve questions effectively and consistent. This study aims to develop a PMB information Chatbot system for FSI using the FastText and Long Short-Term Memory (LSTM) methods. Several methods have been used in Chatbot development research, such as Term Frequency–Inverse Document Frequency (TF-IDF), Bag of Words (BoW), and Convolutional Neural Networks (CNN). However, these studies still have certain limitations, such as the inability to grasp the meaning of words and difficulties in handling certain inputs. In this study, the text classification model uses the FastText method as the stage for representing words in vector form, then combined with several pre-processing methods (Tokenization &amp; Casefolding) and LSTM for the classification stage. Then put it into the Chatbot component according to the architecture that was made. In testing, the Black Box Testing method is used to ensure the functionality of the Chatbot system. The test results show that the Chatbot system is able to understand the topic of questions asked by users properly. The interaction between users and Chatbots also runs smoothly, resulting in appropriate and informative responses. The results of this study are expected to be an effective and consistent solution for providing information about PMB to prospective students and parents/guardians of prospective students at FSI.
GAMBARAN UMUM TOKSOPLASMOSIS OKULER DI RUMAH SAKIT DR KARIADI SEMARANG

Authors:
raw_author_name: Dina Novita
raw_affiliation_string: Staff of Infection and Immunology, Ophthalmology Department of Diponegoro University / Dr. Kariadi Hospital, Semarang

Abstract: Introduction: Ocular toxoplasmosis is the most common infectious etiology of posterior uveitis. The aim of this study is to describe the clinical characteristics of ocular toxoplasmosis in Dr. Kariadi Hospital, Semarang. Methods: A retrospective review of out-patient medical records of ocular toxoplasmosis at Dr. Kariadi Hospital Semarang from January 2018 to December 2022 was done. All toxoplasmic uveitis were included, whereas incomplete medical records and loss of follow-up were excluded. The clinical characteristics of patients were recorded and analyzed. Results: During 5 years a total of 160 patients were recruited of which 123 fulfilled the criteria, consisting of 47 males (38.2%) and 76 females (61.8%), mostly were acquired infection (97.6%) with immunocompetent status (75.6%), and affected unilateral eye (65%). The predominant age was 26-45 years old (41.5%). Primary infection (70.7%) was greater than recurrent infection (8.9%) in which recurrence affects 46-65 years old (72.7%). Visual acuity at the initial presentation was &lt;6/18-6/60 (26.2%), and the final follow-up increased to ?6/18 (33.1%). Posterior uveitis (35.1%) with posterior pole lesion (66%) was a common clinical sign found. Medications given were trimethoprim-sulfamethoxazole (51,3%), and corticosteroid (27.5%) as an adjuvant. The complication detected was cataract (13%). Conclusion: Ocular toxoplasmosis was mostly found in immunocompetent male patients, acquired, unilateral, and in the posterior pole. A good response was found by trimethoprim-sulfamethoxazole and corticosteroid medications.
Microwave Photon-Number Amplification

Authors:
raw_author_name: R. Albert
raw_affiliation_string: Université Grenoble Alpes, CEA, INAC-PHELIQS, F-38000 Grenoble, France
raw_author_name: F. Blanchet
raw_affiliation_string: Université Grenoble Alpes, CEA, INAC-PHELIQS, F-38000 Grenoble, France
raw_author_name: M. Hofheinz
raw_affiliation_string: Institut Quantique, Université de Sherbrooke, Sherbrooke, Québec J1K 2R1, Canada; Université Grenoble Alpes, CEA, INAC-PHELIQS, F-38000 Grenoble, France

Abstract: A new photon-number amplification scheme, which combines the advantages of a single-photon detector and a power meter, could lead to new photon-detection possibilities in quantum-sensing and quantum-computing applications.
Quantifying the unextendibility of entanglement

Authors:
raw_author_name: KUN WANG
raw_affiliation_string: Department of Computer Science and Technology, Nanjing University, Nanjing, CHINA
raw_author_name: Xin Wang
raw_affiliation_string: Thrust of Artificial Intelligence, Hong Kong University of Science and Technology Guangzhou Information Hub, Duxue Road 1, Nansha District, Guangzhou, 510530, CHINA
raw_author_name: Mark M Wilde
raw_affiliation_string: Department of Physics and Astronomy, Louisiana State University, 202 Nicholson Hall, Tower Drive, Baton Rouge, Louisiana, 70803, UNITED STATES

Abstract: Abstract Entanglement is a striking feature of quantum mechanics, and it has a key property called unextendibility. In this paper, we present a framework for quantifying and investigating the unextendibility of general bipartite quantum states. First, we define the unextendible entanglement, a family of entanglement measures based on the concept of a state-dependent set of free states. The intuition behind these measures is that the more entangled a bipartite state is, the less entangled each of its individual systems is with a third party. Second, we demonstrate that the unextendible entanglement is an entanglement monotone under two-extendible quantum operations, including local operations and one-way classical communication as a special case. Normalization and faithfulness are two other desirable properties of unextendible entanglement, which we establish here. We further show that the unextendible entanglement provides efficiently computable benchmarks for the rate of exact entanglement or secret key distillation, as well as the overhead of probabilistic entanglement or secret key distillation.