Reviewerly/exHarmony huggingface dataset:
A Survey on Facial Emotion Recognition for the Elderly

The elderly have a sensitive period of life in terms of physical and mental health and require close assistance or a caregiver. Medical assistance has the ability to recognize the emotional states of older adults through facial expressions and take care of them in real time. This paper provides a comprehensive Facial Emotion Recognition (FER) review, especially for the elderly. Several studies have been conducted on the facial emotion recognition of young and middle-aged adults. Very few studies have focused on automatic emotion recognition for the elderly. Aging comes with a decline in the ability to recognize emotions and impacts emotion perception in humans. Furthermore, older people are suffering from cognitive impairment worldwide, which leads to abnormal emotional patterns. This paper is a literature review of FER techniques in computer vision; FER approaches, and FER databases, and discusses the main challenge of facial expression recognition across age and lifespan.
The Safety of an Artificial Intelligence Supported Screen-Reading Procedure Versus Standard Double Reading in the Mammography Screening with Artificial Intelligence (MASAI) Trial: A Randomised, Controlled, Screening Accuracy Study

Background: Retrospective studies have shown promising results using artificial intelligence (AI) to improve mammography screening accuracy and reduce screen-reading workload, but a prospective randomised trial has not yet been conducted. Methods: In this randomised, controlled, population-based trial, women eligible for mammography screening at four sites in Sweden were informed about the study with the screening invitation and those that did not opt-out were randomised (1:1) to AI-supported screening or standard double reading without AI. The AI system (Transpara v 1.7.0) provided an examination-based malignancy risk score on a 10-level scale that was used to triage screening examinations to single reading (score 1 to 9) or double reading (score 10), with the availability of computer-aided detection marks for examinations with risk scores of 8 to 10. A per-protocol safety efficacy analysis was performed after 80 000 women were enrolled assessing secondary outcome measures of early screening performance and screen-reading workload. The lowest acceptable limit for efficacy in the intervention arm was set at >3 detected cancers per 1000 screened women. The trial was registered with ClinicalTrials.gov, NCT04838756, and is closed to accrual.Findings: Between April 12, 2021, and July 28, 2022, 80 033 women were randomly assigned to AI-supported screening (n=40 003) or double reading without AI (n=40 030), 13 women were excluded from the analysis. AI-supported screening resulted in 41 more screen-detected cancers and 44 more recalls. Cancer-detection rates per 1000 for AI-supported screening was 6·1 (95% confidence interval [CI], 5·4 to 6·9), above the lowest efficacy limit, compared with 5·1 (95% CI, 4·4 to 5·8) for double reading without AI, a ratio of 1·20 (95% CI, 1·00 to 1·45; P = 0·052). Corresponding recall rates were 2·2% (95% CI, 2·0 to 2·3) and 2·0% (95% CI, 1·9 to 2·2). The false-positive rate was 1·5% (95% CI, 1·4 to 1·7) in both arms. The screen-reading workload was reduced by 44·3% using AI.Interpretation: AI-supported mammography screening resulted in a similar cancer-detection rate compared with standard double reading, at a substantially lower screen-reading workload, indicating that AI-supported mammography screening is safe.Trial Registration: The trial was registered with ClinicalTrials.gov, NCT04838756.Funding: Swedish Cancer Society, Confederation of Regional Cancer Centres, and Governmental funding for clinical research.Declaration of Interest: KL has been an advisory board member for Siemens Healthineers and has received lecture honorarium from Astra Zeneca. SH is head of BreastScreen Norway at the Cancer Registry of Norway which has a research agreement with Screenpoint Medical. Other authors declare no competing interests.Ethical Approval: he study was approved by the Swedish Ethical Review Authority (2020-04936).
Analyzing Declarative Deployment Code with Large Language Models

In the cloud-native era, developers have at their disposal an unprecedented landscape of services to build scalable distributed systems.The DevOps paradigm emerged as a response to the increasing necessity of better automations, capable of dealing with the complexity of modern cloud systems.For instance, Infrastructure-as-Code tools provide a declarative way to define, track, and automate changes to the infrastructure underlying a cloud application.Assuring the quality of this part of a code base is of utmost importance.However, learning to produce robust deployment specifications is not an easy feat, and for the domain experts it is timeconsuming to conduct code-reviews and transfer the appropriate knowledge to novice members of the team.Given the abundance of data generated throughout the DevOps cycle, machine learning (ML) techniques seem a promising way to tackle this problem.In this work, we propose an approach based on Large Language Models to analyze declarative deployment code and automatically provide QA-related recommendations to developers, such that they can benefit of established best practices and design patterns.We developed a prototype of our proposed ML pipeline, and empirically evaluated our approach on a collection of Kubernetes manifests exported from a repository of internal projects at Nokia Bell Labs.
Fun with english: An english learning assistance at SMK Warga Surakarta

Mastery of English languages is vital in preparing graduates to compete on a global scale in order to improve the quality of human resources in the world of education. As a result, efforts to improve English mastery for the academic community are evidence of an institution's seriousness in realizing its commitment to international standard institutions. The Covid-19 pandemic is currently affecting a variety of industries, particularly education. The Study from Home (SFH) system has now been adopted by many educational institutions. This, however, isn't enough. Many parents express their dissatisfaction with having to accompany their children to their home study sessions. This is not a major issue for students from upper middle-class families, as their parents will almost certainly provide facilities and private tutoring. Students from lower-middle-class families have a different situation. They must learn to be self-sufficient within the confines of their current circumstances. One of the private vocational schools in Central Java is SMK Warga Surakarta. Students in this school have difficulty understanding English sentences, according to the results of interviews with English teachers. As a result, English language training is required at SMA Warga in Surakarta to improve students' comprehension.
Zoom in Online Learning : GETAMEL Implementation of Student Acceptance

&#x0D; &#x0D; &#x0D; &#x0D; This study aims to see student acceptance during online lectures using the Zoom application and see how the Zoom application technology is acceptable in the learning process. The problems that arise are not far from how the digital interaction process is attempted to replace offline interactions where conventional learning usually takes place. The acceptance of information technology with an audio-visual-based learning process that was suddenly forced during the Covid-19 pandemic basically raised concerns over the classroom interaction process that previously dominated the lecture process. The research method implements the GETAMEL model to see how far the admission process occurs to students. All research respondents are cross-semester students who are under the study program in the economics faculty. 90 respondents answered the research questionnaire which was distributed online through the google form application. The results showed that the constructs in GETAMEL basically had an effect on student acceptance behaviour on the technology applied except for the experience variable. Furthermore, subjective norm and enjoyment variables play an important role in the process of student acceptance in using a relatively new technology.&#x0D; &#x0D; &#x0D; &#x0D;
Comparison of Natural Deduction Theorem Provers used in Electronic Tutoring Systems

In this paper we describe a methodology for comparing the efficacy of openly-available natural deduction tutoring software for students. Our proposed evaluation metrics are objective and can be applied to systems during development, before student-based assessments are feasible. We apply our assessment to five natural deduction tutoring systems, including two currently under development, and report the results of these evaluations and comparisons.
PERANCANGAN WEBSITE DESA LUMBAN PEA TIMUR KECAMATAN BALIGE, KABUPATEN TOBA SEBAGAI MEDIA INFORMASI DAN E-COMMERCE

Lumban Pea Timur Village is one of the villages in Balige District, Toba Regency, North Sumatra Province. In the current development of internet technology, the availability of fast, precise and accurate information is important and needed for Lumban Pea Timur village to distribute information to the village community. Most of the livelihoods of Lumban Pea Timur Village are in the agricultural, plantation and livestock sectors. So far, the sales process in Lumban Pea Timur Village is still done conventionally, this creates difficulties in marketing and promoting the community's business results. The purpose of this research is to help the village community to obtain the latest information in East Lumban Pea Village and assist the community in East Lumban Pea Village in selling their business results to consumers through the village website. The village website designed using the PHP programming language and MySQL database as its database and program testing using black box testing. With the design of the village website, it is hoped that it can help the village community to obtain information and introduce the results of the efforts of the people in the East Lumban Pea Village to the global market so that it can improve the economy in the East Lumban Pea Village, especially the village community.
E-COMMERCE CUSTOM MADE SANDAL WANITA

The improvement of web innovation permits individuals to acquire data rapidly and precisely. Apart from being a source of information, the Internet is also used for purchasing and selling goods, a practice known as e-commerce. Yolanda is a handmade company that sells high-heeled sandals to women. The ordering process is always done through WhatsApp or in person. The goal of this research is to create an e-commerce system for custom-made women's sandals. The development of this system follows the waterfall method. The study's findings include an e-commerce system for custom-made women's sandals, which can aid in the promotion, buying, and selling of women's sandals.
APLIKASI DISPOSISI SURAT DAN TELAAH STAF BERBASIS MOBILE (MOBILE LETTER)

In facing the challenges of digitalization that is growing so rapidly, the State of Polytechnic Tanah Laut (Politala) strives to continue to adapt these developments as needed. In carrying out their duties in the field of Tri Dharma and other supporting activities, lecturers must have a clear assignment basis, as well as for educational staff. The current assignment at Politala uses a sheet of disposition paper issued by the leadership. The disposition sheet is then submitted to the General and Personnel Section as the basis for making a Letter of Assignment for the Lecturer or Tendik concerned in carrying out activities. This is risky in terms of data storage and effectiveness to efficiency in the administration of correspondence. The development of technology in the field of software is currently a solution in conducting application-based correspondence administration to facilitate archiving and data security to be effective and efficient. This study aims to develop a mobile-based application to make it easier for leaders to dispose of incoming letters to their subordinates. The disposition will provide notification to the employee concerned and can be viewed directly through the application. In addition, with applications that are built, employees can submit staff reviews and can monitor the status of their submissions in real time. This research was conducted using the prototype method and collecting data using observation and interview methods to produce a Mobile Letter application.
PENERAPAN METODE MULTI-ATTRIBUTE UTILITY THEORY DALAM PEMILIHAN PENERIMA BANTUAN SOSIAL JASA PELAYANAN PUBLIC PENGABDIAN KEPADA MASYARAKAT TERDAMPAK COVID-19

Community Service Fund Assistance Government assistance, one of which is assistance to the community with government assistance in the form of Community Service Fund Assistance, is an institution engaged in community service. determine community members. services affected by Covid-19 to be right on target. This is due to the absence of a systematic and measurable system for determining eligible communities as recipients of service fund assistance. Starting from recording, recapitulating, and making reports which are still being carried out one by one, the accuracy of the data becomes less. where decisions are taken from several criteria, namely: the occupation of the population, monthly income, place of residence, and main source of information. by comparing alternatives based on each criterion. This results in a decision to choose community service funding assistance. Decision Support System for Accepting Community Service Funds Using Death (Multi-Attribute Utility Theory) as a decision support system so that the sub-district can easily select residents from predetermined criteria. Then to get more accurate results, it is necessary to test the validity of alternative comparisons that are more appropriate in accordance with the needs for selecting the eligibility of recipients of social funds for residents affected by Covid-19.
SISTEM INFORMASI MANAJEMEN INVENTORI JJ CAFE

This study aims to find out the problems that exist in JJ Cafe so that an information system is designed to help facilitate work in managing goods so that there are no more mistakes. The research method here uses a descriptive method using the help of an object-oriented system approach (Object Oriented). The results of this study discuss the system that has been created by displaying the images that exist in the system. With the inventory management information system, it is expected to be able to meet the needs of JJ Cafe with no more errors in inputting inventory data, purchasing goods and returns, and sales, so that work will be easier, and faster in making reports and stock information can be known. with the help of the application.
PERANCANGAN SISTEM INFORMASI PEMINJAMAN BUS SEKOLAH DINAS PERHUBUNGAN UNIT PENGELOLA ANGKUTAN SEKOLAH DKI JAKARTA BERBASIS JAVA

This study aims to create a borrowing system that is more effective and efficient than the borrowing system used in the previous DKI Jakarta School Transportation Management Unit. Makes data storage more secure than using paper media. Making reports easier and more accurate. The research method used in this research is the descriptive method, namely by collecting data through documentation, observation, and interviews. Where in making this application design is used with Unified Modeling Language (UML) Use Case, Sequence Diagram, Class Diagram design tools and use the Java programming language with Netbeans editor and MySQL database using XAMPP. The result of this study is that there is a rental application that can assist the borrowing process and also provide convenience for the DKI Jakarta School of Transportation Management Unit Transportation Service in managing borrower data, registration, loan data, and officer data stored in the database.
IMPLEMENTASI METODE SHORTEST-JOB FIRST UNTUK PENJADWALAN PENGGUNAAN LABORATORIUM FISIKA DI SMA 1 PEGAJAHAN

Queuing problems can occur in many cases, including in the process of using the physics laboratory by patients. The use of the physics laboratory at SMA Negeri 1 Pegajahan experienced problems such as recording the Order Form which was still done manually, this resulted in frequent data accumulation, loss and even miscommunication. This study aims to make a schedule for the use of the physics laboratory to overcome the queue problem. In this study, the author uses the Shortest Job First (SJF) algorithm, which is a scheduling method by determining that each process in the ready queue will be executed based on the smallest burst time so that the waiting time is short for each process and the average waiting time is also short. Based on the existing problems, it can be concluded that there is a need for a physics laboratory scheduling system using the shortest job first method that can manage and determine the usage schedule according to the duration that has been made.
MEDIA PEMBELAJARAN SISTEM MANAJEMEN KESELAMATAN DAN KESEHATAN KERJA BERBASIS COMPUTER BASE TRAINING

Computer Based Training is a teaching material that can support distance lectures that demand more interesting, attractive and efficient media. The making of CBT learning media is carried out using the research and development (R&amp;D) method, making and testing or verifying applications and testing the aplication effectiveness. The development and manufacture of CBT media products uses the Adobe Animate CC platform and then a feasibility test is carried out using a validation questionnaire using a Likert scale that will be carried out by the validator. Trial of learning media Products to 54 respondents and processing the results of the assessment from users obtained very good results with a value of 3.96 and a percentage of 79.3% with details of the assessment of each sub-element of the software engineering aspect of 92%, the learning design aspect by 86% and visual communication aspects by 48%. The visual communication zspect has the lowest assessment result from the other two aspects with 3 (three) visual communication sub aspects that fall into the inappropriate category, namely audio, moving media and interactive layout. The results of this research become an interactive teaching platform for PPI lecturers in 2022.
Project activities in music lessons in preschool education

The article considers the issue of implementing project activities in the educational process of preschool education. Today, design penetrates into life phenomena, processes, spheres of society: more and more things are products of conscious human activity and are a unique way to ensure co-creation, cooperation of adults and children. Project activities allow to implement a personality-oriented approach to the upbringing and education of preschool children and promotes the development of their creative abilities, turns them into active participants in all events taking place in preschool education. The aim of the research is to reveal the essence of the concepts of «project», «project activity», as well as the peculiarities of using the method of projects in music lessons in preschool education. Project activity is the most important component of pedagogical activity. This process includes educational systems of different levels, the content of education, pedagogical technologies, management of the pedagogical process, planning and monitoring the development of educational institutions. It is shown that the method of design, a modern method of integration of activities, allows you to solve a set of problems subordinate to one topic, a variety of techniques and methods, gradually and in the system. The method is relevant and effective. It gives the child the opportunity to synthesize the acquired knowledge, develop creative abilities and communication skills. It is noted that project activities allow children to develop research skills and cognitive interest, there is an integration between common ways of solving different problems and activities. Project activities help to connect learning with life, develop communicative and moral qualities. The main task of the educator is to involve the child in the wonderful and beautiful world of music, to develop children's musical and creative abilities, to help through the artistic perception of musical images to understand the connection of musical art with the world, to form moral and aesthetic attitude to it. «Project» management of the music-educational process in the preschool institution contributes to the further improvement of music-educational work with preschool children in the modern education system.
Backpropagation and F-adjoint

This paper presents a concise mathematical framework for investigating both feed-forward and backward process, during the training to learn model weights, of an artificial neural network (ANN). Inspired from the idea of the two-step rule for backpropagation, we define a notion of F-adjoint which is aimed at a better description of the backpropagation algorithm. In particular, by introducing the notions of F-propagation and F-adjoint through a deep neural network architecture, the backpropagation associated to a cost/loss function is proven to be completely characterized by the F-adjoint of the corresponding F-propagation relatively to the partial derivative, with respect to the inputs, of the cost function.
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning

3D pose transfer is a challenging generation task that aims to transfer the pose of a source geometry onto a target geometry with the target identity preserved. Many prior methods require keypoint annotations to find correspondence between the source and target. Current pose transfer methods allow end-to-end correspondence learning but require the desired final output as ground truth for supervision. Unsupervised methods have been proposed for graph convolutional models but they require ground truth correspondence between the source and target inputs. We present a novel self-supervised framework for 3D pose transfer which can be trained in unsupervised, semi-supervised, or fully supervised settings without any correspondence labels. We introduce two contrastive learning constraints in the latent space: a mesh-level loss for disentangling global patterns including pose and identity, and a point-level loss for discriminating local semantics. We demonstrate quantitatively and qualitatively that our method achieves state-of-the-art results in supervised 3D pose transfer, with comparable results in unsupervised and semi-supervised settings. Our method is also generalisable to unseen human and animal data with complex topologies.