Reviewerly/exHarmony huggingface dataset:
Sensor-enabled biometric signature-based authentication method for smartphone users

With the ubiquity of smartphones, the need for foolproof authentication mechanisms that support 'authentication on the go' and remote authentication is on the rise. Signature being the most sophisticated authentication method, this paper explores idea of designing signature based robust authentication method combined with smartphone sensor based features. We used our already created sensor enabled biometric signature database iSignDB which has recorded images of signatures along with associated smartphone sensor readings while signing on the touchscreen of the smartphone. Additionally, we considered six statistical features with the objective of designing a highly accurate authentication model. We successfully trained our authentication model over iSignDB using bidirectional LSTM method and obtained FAR 2%, FRR 12%, and EER 2% against skilled; and FAR 5%, FRR 12%, EER 6% against random forgery attacks respectively, which is comparable to the existing state-of-the-art models for smartphone signature biometrics. The main contribution of this work is extensive feature vector, and robust signature-based authentication method.
Deep Learning Approach for a Dynamic Swipe Gestures Based Continuous Authentication

The amount of sensitive data stored on mobile devices has increased. Current mobile device security schemas, such as pins, passwords, patterns, or even physiological biometrics are not secure enough to protect these data. There are several continuous or active authentication approaches that would provide an additional line of defense, designed as a security countermeasure. This paper introduces a Continuous Authentication system based on the swipe gestures as images. Therefore, we designed a Dual Input Model based on MobileNetV2. For training and testing the model, we used the two public Datasets, BioIdent and HMOG. As a result, our model achieved an EER of 10.45% which represents a good rate compared to the results of existing research.
Applying PBL to the Online Teaching Under the Background of Informatization: A Case Study

This paper compares the influence of the PBL online teaching method and the traditional online teaching method on students' learning outcomes in three aspects, including students' participation in class, instructional mode, and teaching effectiveness.The present study utilized a case study method to analyze a case of online PBL physics class case in a university in Malaysia.The main findings in online courses are: (1) The participation of students in PBL courses is higher than that in traditional courses; (2) The PBL teaching method is student-centered and problem-oriented, leading students to work in small groups in various forms.While the traditional teaching method is mainly based on the teacher's lecture in a very single form; (3) The experimental data, in this case, shows that the PBL teaching method is more effective than the traditional teaching method.This paper illustrates the differences between the two teaching methods, along with explaining why the online PBL teaching method is more recommended.Besides, it encourages more teachers to delve into PBL and apply it to online courses better in the future.
Utilisation aware virtual machine selection policy for workload consolidation in cloud data centres

Large-scale virtualised data centres have been constructed throughout the world in response to the rising demand for service-oriented computing and the expansion of cloud computing technologies. These vast data centres consume a significant amount of power and have a significant carbon footprint, which must be reduced to the greatest extent feasible. The dynamic virtual machine consolidation provided by live migration leads to significant energy savings. However, it also constitutes a violation of the service level agreement (SLA). The process of selecting virtual machine (VM) for migration is critical in the realm of energy-aware cloud computing. This study proposes a novel utilisation aware VM selection (UAVMS) policy that aids in VM selection for migration using server utilisation and skewness value. We use the CloudSim toolkit to build our UAVMS policy and compare its performance with existing methods. The experimental results shows that UAVMS reduces the energy usage and SLA violations.
English teaching information feedback system based on internet of things

In order to overcome the problems of low feedback accuracy and efficiency in traditional English teaching information feedback system, this paper proposes a new feedback system based on internet of things. The function requirements of the system are analysed and the overall architecture of the system is designed. In order to meet the needs of the system, the hardware part of the system designs the module of English teaching information collection, the load balance module of teaching information and the feedback module of the message board of English teaching information. In the software part of the system, the time series analysis technology in the internet of things is used to evaluate the feedback ability of English teaching information and calculate the output results. The experimental results show that the designed system has higher feedback precision and lower feedback accuracy, has the highest feedback accuracy is 97%, and has stronger practical performance.
Improving the fuzzy expert system for diagnosing depressive disorders

This paper presents an improving knowledge base and inference engine of a medical expert system for diagnosing depressive disorders. This medical expert system calls PORUL.DEP. PORUL.DEP’s knowledge base includes more than 850 positive rules. PORUL.DEP has been tested on more than 260 medical records of depressed patients. PORUL.DEP gives a correct diagnosis of more than 95% with light depressive disorder and without depressive disorder, but the remaining depressive disorders are not accurate. Average percent of more than 24 %. A new expert system, called STRESSDIAG, was developed on combining positive rules (for confirmation of conclusion) and negative rules (for exclusion of conclusion) for diagnosing depressive disorders. STRESSDIAG’s knowledge base consists of more than 850 positive rules of PORUL.DEP and more than 120 negative rules. Abelian group operation of Mycin is used to improve the inference engine based on fuzzy relations. STRESSDIAG gives the correct diagnosis of more than 76% with 4 depressive disorders types and without depressive disorders. Average percent of more than 82 %, up nearly 60% compared to PORUL.DEP.
The cost/benefit strategic grid approach: a decision support method for design and improvement of configuration management databases

The purpose of this study is to propose an approach to measure the costs and benefits of attributes in configuration items (CIs) to assist in the design and continual improvement of CIs in configuration management databases (CMDB). A cost/benefit strategic grid method was proposed. Based on the usefulness and induced costs of each attribute, the degree of benefits and costs of each attribute are calculated. With a defined acceptance level of cost and an expected level of benefits, all attributes can be portrayed on a strategic grid divided into four quadrants accompanied with four suggested actions on improving the configuration attribute. The case study demonstrates that the method can effectively provide guidelines for practitioners to design and improve CIs and CMDBs.
Optimised deep neural network for cancer disease prediction using a genetic algorithm

Detection of cancer at an early stage is a crucial activity for the oncologist for proper treatment of the disease. Various machine learning techniques are applied to detect different types of cancers. However, till date, the low accuracy in cancer detection is observed because limited focus has been given to addressing the dataset imbalance problem for cancer detection. In the present work, a novel genetic algorithm-based deep neural network (GA-DNN) is proposed to effectively detect the two types of cancers i.e., prostate cancer and breast cancer. Results obtained by GA-DNN are compared with support vector machine (SVM), random forest, and deep neural network (DNN). Best results are reported by GA-DNN for prostate cancer and breast cancer Coimbra datasets. It was observed that the optimised DNN gave the best results when the dataset is large.
Investigation of Spoken-Language Detection in Multilingual Environment

Spoken language contains lot of information such as information about the content of a message and information about the speaker of that message. Content is composed of several levels of linguistic information like phonological information, morphological information, syntactic information, and the semantic information. For Present study, Multilingual Speech Processing database of different speakers has been recorded in three Indian languages, i.e., Hindi, Marathi, and Rajasthani. The sentences consist of consonants, i.e., “Cha”, “Sha” and “Jha”. Total numbers of speakers involved are 30 including males and females. The basic features of the speech signal: Pitch and first three Formant F1, F2 and F3 are calculated through PRAAT software whereas cepstral features Mel- Frequency Cepstral Coefficients (MFCC) and Gammatone Frequency Cepstral Coefficients (GFCC) has been extracted from MATLAB software. A model is proposed to identify the speaker by multi language speech signal of a speaker using MFCC, GFCC and combine features as acoustic features. For training and testing, is performed on using neural network function Resilient Back Propagation Algorithm and Radial Basis Functions and results are compared. In this experiment accuracy of spoken language identification is 94.77% using BPA and 96.52% using RBF neural network.
THE METHODS OF DEVELOPING COMPOSITIONAL THINKING OF DESIGN STUDENTS

The article deals the problems of professional artistic training of design students in the process of teaching composition. The composition studies the laws of the creation of an artistic form and the means of artistic expression, organization of image perception. Compositional activity has an artistic and plastic character; it relies on the use of the language of art and consists in creating a new, holistic, original artistic image. The authors identify compositional thinking as one of the most important professional qualities of an artist and designer and reveal the methodology of its formation among students. The process of teaching composition – creating a painting, drawing, sculpture or design object – cannot be built as a simple linear process of learning image methods, compositional rules and techniques. The author's methodology is based on the method of problem tasks, which involves the formulation of an educational and creative task, the creation of a problem situation; comprehension, acceptance and resolution of the problem, during which students master generalized methods of artistic and creative activity. At the same time, the creative process is considered as a series of successive stages associated with the work of productive or creative imagination, and requiring the provision of visual or other information in the process of work. The article presents the results of the ascertaining and formative stages of experimental work on the development of compositional thinking of art students in the process of mastering expressive means, such as line, spot, texture, color, as well as compositional techniques and rules (static, dynamics, dominant, rhythm, etc.). The authors have developed a series of creative exercises, described the methodology of their implementation and the criteria are proposed to determine the level of development of students' compositional thinking based on the evaluation of their creative works.
EDUCATIONAL PROGRAMM TO IMPROVE COPING MECHANISMS OF PARENTS WITH CHILDREN WITH CONGENITAL HEART DISORDERS

Congenital heart disease (CHD) is one of the most common congenital abnormalities in children with a chronic course of disease. CHD almost always causes problem psychologically either for patients and their families. Education about CHD in children addressed to their parents and caregivers could help to overcome the emotional problems that arise while caring for children with CHD. This study was at a time to review the educational programm that can be used to improve the parental coping mechanism of children with CHD. This study is a literature review sourced from PubMed, Google Scholar andScience Directdatabases, with inclusion criteria as follows: articles published in 2015-2020, available in full text and published in Indonesian and English. Our results found 169 articles, of them only 3 that met the inclusion criteria. Implementation of empowerment-based education program was proved to improve the knowledge, parenting behavior, and self-efficacy of parents and caregivers of children with CHD. Education with audiovisual media such as photos related to diagnostic procedures could be an important first step. The level of parental anxiety was lower in the intervention group than the control group (M=63, SD=3.5 vs M=70, SD=2.8). Module-based and workshop-based intervention programs such as the Congenital Heart Disease Intervention Program (CHIP)-Family intervention or education with evidence-based Families coping programs have been shown to improve mental health and coping mechanisms for parents of children with CHD. Nursing education using various media has been proven to improve the coping mechanisms of parents of children with CHD&#x0D; Keywords: Education; Media; Parents; Family; Coping Mechanisms; CHD
Bringing research closer

Getting young people inspired by and excited about science and research is crucial for nurturing the next generation of scientists and innovators. Two flagship European initiatives are highlighting the importance of European research for the future and connecting researchers and children to share the wonders of science. The European Researchers' Night is an annual European sci-comm and promotion event that connects scientists and the general public, particularly young people and brings research to life through educational and entertaining activities. The goal is to showcase the diversity and impacts of science and inspire young people to pursue science and research careers. By demonstrating the tangible, day-to-day impacts, the event seeks to increase the general public's appreciation of research and innovation. The event took place in 25 European countries this year. The new 'Researchers at Schools' initiative implemented by European Researchers' Night projects as of the 2022-23 editions will bring top researchers to schools and provide the opportunity for teachers and pupils to engage with them on important topics. In doing so, teachers and pupils can better understand societal challenges and how research is key to overcoming these, while access to STEAM (science, technology, arts and mathematics) subjects can be improved.
Konsep Dasar Kerjasama Perpustakaan

&#x0D; The library is an institution that becomes a forum for various branches of knowledge, either in the form of research results or based on human writing. In the library, there are various types of collections, which can be printed or non-printed, fiction or non-fiction. However, like any library effort to have every collection, it will not be able to be fulfilled if it is not done in collaboration with other libraries. For this reason, collaboration between libraries actually includes efforts to satisfy users in making visits to the library so that users are willing to return to visit the library. The research method used in this work is a qualitative method which was analyzed using a literature study. The results of the research will be presented in general regarding the collaboration between libraries in meeting user satisfaction.&#x0D; Keywords:library, cooperation, concept
Pengaruh Tren Fashion dan Brand Image terhadap Hijab Remaja

Fashion and clothing style is one of the most basic everyday human needs. Clothing is not only a necessity, but also reflects the lifestyle of a particular group of people and expresses their true personality and identity. may be affected. The purpose of this study is to explain the influence of fashion trends and brand image on young people's preferences for hijabs. It is intended for This research uses the library survey method or library survey. Some of the results of this study indicate that the influence of fashion trends and brand image on young people's headscarf preferences is a powerful tool for young consumers' self-expression and shopping needs.&#x0D; Keywords: Preferences, Brand Images, Fashion Trend, Hijab
Google hails another step towards a truly useful quantum computer

Aloof and untamed? Science is revealing that felines have been misunderstood, discovers Michael Marshall
Eardrum symphony

How can a vibrating eardrum convey the rich symphony that we hear? Why don't the various frequencies interfere with each other?
Carving an Innovative Space for Dialogic Intersections

This chapter describes the inquiry process for a research project that involves multiple disciplinary spheres and multiple phases over a 16-year time period. I continue to be invested in this spectrum of inquiry as a researcher/practitioner. This spectrum encompasses multiple threads of inquiry, emerging from a central phenomenon of experience and practice. In the writing, I trace the thought processes and analytic strategies involved in moving from an initial observation impetus to a robust research framework. I also address practical aspects and challenges within the process, from navigating different disciplinary domains to funding. The research ultimately examines human mobility device design through the lenses of dance and disability. In so doing, it expands the creative landscape in design thinking through attending to the disabled dancing body while carving an innovative space for dialogic intersections between the fields of dance, disability, and assistive technology design.
Provably Dwindling Three-Party Spurious Classical and Quantum Key Distribution Protocols

This chapter presents quantum key distribution protocols (QKDPs) to safeguard security in large networks, ushering in new directions in classical cryptography and quantum cryptography. Two three-party QKDPs, one with implicit user authentication and the other with explicit mutual authentication, are proposed to demonstrate the merits of the new combination, which include the following: 1) Security against such attacks as man-in-the-middle, eavesdropping, and replay, 2) Efficiency is improved as the proposed protocols contain the fewest number of communication rounds among existing QKDPs, and 3) Two parties can share and use a long-term secret (repeatedly). To prove the security of the proposed schemes, this work also presents a new primitive called the unbiased-chosen basis (UCB) assumption.
Future Perspective of Quantum Cryptography for Smart Cities of the 21st Century

Maintaining security in smart cities and various smart applications has become a most challenging research domain to provide secure access to the society. Exposure of digital data to intruders can easily happen through different smart gadgets knowingly or unknowingly. To ensure security, the role of quantum cryptography is essential in this regard. Quantum cryptography is achieved by utilizing the polarization property of photon and quantum key distribution (QKD). In contrast to a classical computer, quantum computers achieve exponential speedup through reversible operations with the intention to provide security without compromising processing speed in smart applications. In this chapter, concepts, features, and technologies of smart cities are presented. Next, the important role of quantum computing in security with quantum key distribution protocols are explained. This chapter presents an algorithm of encryption and secret key to give the insights of QKD protocol. The chapter concludes with future directives of QKD in smart cities.
Oralizations in Doctor-Patient E-mail Communication

It is well-known that non-verbal cues are essential in oral doctor-patient communication. Recent digital and written forms of communication make it pivotal to explore the role of non-verbal cues in these mediations. One more recent genre is the doctor-patient e-mail consultation. Research has found that while patients like e-mail consultations, they also miss facial expressions, eye contact, etc. In this study, we explored whether general practitioners (GPs) use oralizations when writing e-mail consultations to their patients, and if so, in what way. We analysed 633 e-mail consultations written by 22 GPs. We applied the concept of oralization. Oralizations refer to oralized written text, which is a hybrid discourse that oscillates between oral and written features and includes the use of emoticons and non-standard use of grammar and spatial arrangement. Overall, GPs used a limited number of other non-verbal cues, such as use of emoticons, creative use of punctuation, and capitalization. We found that their dominant types of oralizations were non-corrected spelling errors and lack of attention to capitalization. From our data, we argue that there is an incoherence as to whether the e-mail consultation demands a formal or an informal communication style. GPs are thus forced to rely on their own intuition when writing e-mail consultations.
DEVELOPMENT OF STUDENT LEARNING MEDIA BASED ON MEDICAL RECORD INFORMATION SYSTEM

In order to improve the quality and quantity of the learning process, the Medical Records Laboratory has supporting facilities, so that each student can carry out the practice of managing medical record documents and information in accordance with their competence. Information technology-based information systems are currently not available in the Medical Records Laboratory, so that when students do practicum it is not effective and efficient, therefore the availability of information technology-based information systems needs to exist. This study aims to determine the design of information systems, and build a medical record laboratory information system at Medica Farma Husada Mataram Polytechnic, including: Old and alternative system design, Database Design, ERD (Entity Relational Diagram), UML (Unified Modeling Language) Design, Interface Implementation. This research is qualitative research using the waterfall method. The results showed that the hierarchy of the information system for the Medical Records Laboratory of the Medica Farma Husada Mataram Polytechnic was made by the Php program and was also accompanied by the use of a MySQL database integrated with a good security system. The process consists of Patient Registration, Polyclinic Data Collection, Doctor Data Collection, Drug Data Collection, and the Output consists of Patient data reports, Print Out Pasie data, Polyclinic data reports, Doctor data reports, Drug Data Reports. The conclusion of this research is that the design of an information system-based Medical Records Laboratory consists of 3 menus, namely patients, doctors and medical records officers.
DEVELOPMENT OF TRACER INFORMATION SYSTEM ON MEDICAL RECORD DOCUMENT

The information system was based on existing problems. This information system was computerized where borrowing and returning medical records is no longer manual. The purpose of the information system was to make it easier for officers to record, borrow and return. This model of tracer information system development for medical record files uses the waterfall method which includes requirements analysis and definition, system and design software, for the next stage, namely Implementation and unit testing and operation and maintenance, which is not carried out.