Reviewerly/exHarmony huggingface dataset:
Efficient Second-Order Methods for Non-Convex Optimization and Machine Learning

Author(s): Yao, Zhewei | Advisor(s): Gu, Ming MG; Mahoney, Michael MM | Abstract: Hessian-based analysis/computation is widely used in scientific computing. However, due to the (incorrect, but in our experience widespread) belief that Hessian-based computations are infeasible for large machine learning (ML) problems, the majority of work in ML (except for quite small problems) only performs the first-order methods. However, using sub-sampling and randomized numerical linear algebra algorithms, the computation of second-order methods can be efficiently extracted for large-scale machine learning problems. In this thesis, we consider three use cases of second-order methods as follows: (i) For non-convex optimization and/or ML problems, we propose inexact variants of three classic Newton-type methods---Trust Region method, Cubic Regularization method, and Newton-CG method, as well as a novel adaptive second-order method---AdaHessian. For classic methods, under the relaxed gradient and Hessian approximation, we theoretically prove that our methods achieve the same complexity as their full gradient and Hessian counterparts, and empirically show the efficiency and robustness of those Newton-type algorithms. For the novel AdaHessian algorithm, we incorporate moving average for the Hessian information, and illustrate its superb performance on large-scale deep learning problems compared to first-order optimizers; (ii) For machine learning and data science analysis, we develop a popular Hessian-based computation framework. The framework enables fast computations of the top Hessian eigenvalues, the Hessian trace, and the full Hessian eigenvalue/spectral density, and it can be used to analyze neural networks (NNs), including the topology of the loss landscape (i.e., curvature information) to gain insight into the behavior of different models/optimizers; (iii) For application, first, we show that Hessian-based metric can be used as the sensitivity metric to determine the robustness of every single layer of the NNs, and this can help perform mixed-precision quantization. Second, we demonstrate that second-order based adversarial attacks can achieve smaller perturbation as compared to first-order methods, which can be used as a powerful attack method to verify the robustness of a NN to adversarial attacks.
Exploring MSMEs Cybersecurity Awareness and Risk Management : Information Security Awareness

The use of information technology in the management of Micro, Small, and Medium Enterprises (MSMEs) is not limited to business performance and productivity but also aspects of data security and transactions using various mobile, website, and desktop-based applications. This article offers an idea to explore cybersecurity awareness and risk management of MSME actors who adopt information technology. The research method used is qualitative with a case study approach in the Coffeeshop X business and the Y Souvenir business in Salatiga City, Central Java, Indonesia. The data collection technique used in-depth interviews, observation, and document studies. These findings indicate that Cybersecurity Awareness, especially information security awareness, can be reviewed based on knowledge, attitudes, and behavior. Risk management can be review based on supply risk, operational risk, and customer risk. Cybersecurity Awareness and Risk Management in MSMEs is holistic and cannot be generalized, so it needs to be discussed contextually based on case studies. In the context of Coffeeshop X and Souvenir Y, the level of Cybersecurity Awareness (knowledge, attitude, behavior) is not always linear. In addition, risk management is more dominant in the customer risk dimension, compared to supply risk and operational risk.
Conceptual Framework of Social Engineering (SoE)Attacking Risks and Prevention Technique

A conceptual framework of Social Engineering Attacks and Prevention Technique synthesis of literature on how to explain a phenomenon. It maps out the actions required in the course of the study given his previous knowledge of other researchers point of view and observations on the subject of research. Social engineering conceptual framework is a term that is widely used but poorly understood. It’s generally defined as any type of attack that is nontechnical in nature and that involves some type of human interaction with the goal of trying to trick a victim into revealing information. Social engineers are interested in gaining information they can use to carry out actions such as identity theft or stealing passwords, or in finding out information. The Attacker trying to make a victim believe the attacker is technical support or someone in authority. The reason, the conceptual framework of system consist of concepts, assumptions, expectations, beliefs, and theories that supports and informs research. In this conceptual framework would showing five phase, they are: Attack Formulation, Information Gathering, Identify the Attack, Digital Evidence and Prevent the Social Engineering Attacks. And discuss the relevant Digital Law of Malaysia.
Analyzing the relationship between inward FDI, education and entrepreneurial activity at the macro-level

We investigate the roles of inward FDI and education in explaining country levels of entrepreneurship. It is widely recognised that inward FDI may have positive but also negative spillover effects on entrepreneurial activity. We argue that both types of spillovers (positive and negative) may be reinforced by high education levels of the labour force. Using a database across 75 countries between 2001 and 2015, we estimate a 2SLS model that tests for this moderating role of education. We find support for a negative interaction effect of FDI and macro-level education on the rate of entrepreneurial activity, suggesting that in countries with highly educated labour forces, inward FDI leads to more jobs in the wage sector rather than a higher number of entrepreneurs. Policy implications are discussed.
What simulation of the Foster-Seeley discriminator can reveal

Conceivably, very few simulations of the Foster-Seeley (F-S) demodulator have ever been performed because by the time PC-based circuit simulators appeared in the 90s, the F-S has already faded from use and from engineering consciousness. Although one
Pembelajaran Berkualitas Berbasis Nine Instructional Events Teori Belajar Gagne

Gagne has the perspective that learning is influenced by growth and the environment, but the biggest influence is a person's individual environment. The theory of learning put forward by Robert M.   Gagne is a balanced blend of behaviorism and cognitism, based on information processing theory. Nine instructional events in Gagne Theory have a very strategic phase namely; 1). Gain attention; 2) Inform learners of objectives; 3) Recall of prior learning; 4) Present material; 5) Provide guided learning; 6) Elicit performance/practice; 7) Provide feedback; 8) Assess performance; 9) Enhance retention and transfer). Gagne's theory encourages teachers to plan for learning, acquire skills that require practice and habits, are suitable for training children who still need adult role dominance, and can be controlled to get quality learning. Keywords : Learning, Nine Instructional Events, Gagne Learning Theory.
Mental Models of AI Agents in a Cooperative Game Setting (Extended Abstract)

As more and more forms of AI become prevalent, it becomes increasingly important to understand how people develop mental models of these systems. In this work we study people's mental models of an AI agent in a cooperative word guessing game. We run a study in which people play the game with an AI agent while ``thinking out loud''; through thematic analysis we identify features of the mental models developed by participants. In a large-scale study we have participants play the game with the AI agent online and use a post-game survey to probe their mental model. We find that those who win more often have better estimates of the AI agent's abilities. We present three components---global knowledge, local knowledge, and knowledge distribution---for modeling AI systems and propose that understanding the underlying technology is insufficient for developing appropriate conceptual models---analysis of behavior is also necessary.
THE EFFECT OF GUIDED WRITING STRATEGY ON STUDENTS’ ABILITY IN WRITING PROCEDURE TEXT

This study was aimed to find the empirical evidence of the effect of of guided writing strategyon students’ ability in writing Procedur text. The method that was used was a quantitative method. The design of this study was experimental study. This study was conducted in SMA Swasta Budi Agung Medan . The number of the sample of the sudy was 50 students of eleventh grade. The instrument of this study was tests. The tests were divided into two, there were pre-test and post-test. The data that were obtained from the tests were analyzed by using SPSS 20 program. The result of the study showed that the mean score of post test in control class was 61 while the mean score of post-test in experimental was 71 .Based on the criteria of hypothesis test that if sig. 2 tailed (p) was lower than alpha (α) 0.05, then Ho (Null Hypothesis) was rejected and Ha (Alternative Hypothesis) was accepted. In this study, the result of sig. 2 tailed was 0.002 and it proved that p <α. It showed that there was a significant effect of guided writing strategyon students’ ability in writing procedure text.
LibGuides: BUS 301 - Business in Action: Home

The guide to to assist researchers in finding relevant resources for their experiential learning projects.
Biometric electronic signatures as the new object of handwriting examination

Analyses of electronic biometric signatures constitute an innovation in forensics. The aim of the study described in this article was to determine whether it is possible to categorically confirm or exclude both the authenticity and the execution of handwritten biometric electronic signatures. Several-year-long research on various types of electronic signatures has made it possible to formulate categorical conclusions in this area. The article defines and determines the terminological scope of the biometric electronic signature concept within the widely understood electronic signatures. The analyses of biometric signatures were based on the graphical-comparative method commonly used in the traditional model of handwriting analysis. The only modification consisted in replacing the set of motoric features with biometric features, which turned out to be necessary for a categorical opinion on this matter. Study results described in the text allow for quantitative examination within analysis of manuscripts thus enabling issuing a categorical opinion. The biometric features of handwriting identified entirely by means of digital data ought to contribute to the elimination of any bias that might exist on the part of an expert.
PHYSICAL EDUCATION TEACHER TRAINING IN THE STATE OF AMAZONAS IN COVID-19 TIMES: A DOCUMENTAL ANALYSIS

This article has as its theme the teaching formation in Physical Education in Amazonas in times of COVID-19, having as objective to describe and analyze the Plan of Return to Present Activities and the Pedagogical Curricular Guidelines facing the challenges of the current context. A qualitative approach study was carried out with emphasis on document analysis, analyzing the public policy cycle present in the documents. As results, a well-structured strategic planning was identified, but with the allocation of public resources to the private sector, with the focus on teacher training focused only on the fulfillment of sanitary protocols, affecting the workload and the quality of teaching. It is concluded that the agency has the tools to ensure a qualitative approach in the formative and procedural context of education professionals and that the proposal of the approach of Physical Education for Renewed Health comes as a provisional solution for teacher training in Physical Education for the context.
Pengembangan Mobile Aplikasi Resep Makanan Indonesia Serta Monitoring Kalori Dan Nutrisi Harian Berbasis Android

The benefits of an Android-based application make mobile application software developers improve the quality of their applications, one of which is implementing this android application to find out food recipe information and monitor daily calorie nutrition for users in consuming food as well as maintaining health. Researchers see the potential of an Android-based daily calorie monitoring application applied to the community, one of which focuses on housewives. This study aims to develop an Android-based food recipe application system into food recipes that also displays the daily calorie and nutritional content of food. This application can combine the best things from mobile applications with the features that Android Studio already has. The benefits of this research can be recommended or referenced for the Unitary State of the Republic of Indonesia in developing mobile applications that are more optimal for the needs of the community. Development in this system applies the waterfall method by completing the initial stage before continuing the next stage. Unified Modeling Language (UML) for system design. Testing this application using the Black Box, this application can carry out its functions properly, efficiently and testing this application has been correct and has no errors both in terms of logic and function and is feasible to implement. Meanwhile, from the results of the questionnaire, respondents said they agreed with this calorie adequacy monitoring application. The ability of the application software created can also be opened with the Android OS version and can be run online or offline.
Penerapan Belajar Kelompok Pada Pelajaran IPA Terpadu Untuk Meningkatkan Hasil Belajar Siswa SMP

This study aims to improve science learning outcomes in class VIII-2 SMP Negeri 2 Sunggal through group work methods. The method used is descriptive method with classroom action research design (classroom action research). Classroom action research was carried out in two cycles. This research was conducted at SMP Negeri 2 Sunggal. The subjects of this study were students of class VIII-2 SMP Negeri2 Sunggal, totaling 31 people. Based on the data analysis of the research results, the activeness of students in participating in learning increased from the first cycle of 71% in the sufficient category to 94% in the second cycle in the very good category. Student learning outcomes have increased with the average student learning outcomes in the first cycle, namely 75.48% in the sufficient category to 80.19% in the second cycle in the good category. Based on the results of the study, it was concluded that the group work method could improve science learning outcomes on the respiratory system material for class VII-2 SMP Negeri Sunggal.
Design of Knowledge Graph in Manufacturing Services Discovery

Abstract Knowledge graph networks powering web search and chatbot agents have shown immense popularity. This paper discusses the first steps towards building a knowledge graph for manufacturing services discoverability. Due to the lack of a unified widely adopted schema for structured data in the manufacturing services domain as well as the limitations of existing relational database schemas to represent manufacturing service definitions, there does not exist a unified schema that connects manufacturing resources service descriptions and actual manufacturing service business entities. This gap severely limits the automated discoverability of manufacturing service business organizations. This paper designs a knowledge graph covering over 8,000+ manufacturers, the manufacturing services they provide and corresponding linkage with manufacturing service definitions available from Wikidata. In addition, this work also proposes extensions to Schema.org to assist small business manufacturers to contain embedded search engine optimization (SEO) tags for search and discovery through web search engines. Such vocabulary extensions are critical to the rapid identification and real-time capability assessment particularly when the service providers themselves are responsible for updating tags. A wider scale enhancement of manufacturing specific vocabulary extensions to schema.org can tremendously benefit small and medium scale manufacturers. This paper concludes with the additional work that must be done for a comprehensive addition to manufacturing service graph that spans the entire manufacturing knowledge base.
REDESAIN PUSAT PELAYANAN PEMBERDAYAAN PEREMPUAN DAN ANAK DI DKI JAKARTA DENGAN PENDEKATAN HEALING ARCHITECTURE

Violence against women in Indonesia is increasing every year. Government efforts in overcoming these problems are with the existence of Pusat Pelayanan Terpadu Pemberdayaan Perempuan dan Anak (P2TP2A) spread throughout the province. P2TP2A has an obligation to provide Complaint Services, Health Rehabilitation Services, Social Rehabilitation Services, Legal Aid, Returns, and Social Reintegration. P2TP2A in the capital city of Jakarta is currently located in Pulo Gadung, East Jakarta and has adequate services in the form of complaints and counseling, but still works with other partners for health services, social rehabilitation and social reintegration and is not in one place so it needs a redesign action. P2TP2A, which is a healing forum for victims of violence, requires a special approach to maximize the function. So, in the process of redesigning it uses a Healing Architecture approach. The design of P2TP2A with the Healing Architecture approach applies to how aspects of healing architecture, therapeutic architecture can influence the healing process and the existence of building typologies with healing functions. These three things are combined and produce analysis references to analyze precedents. The references of analysis are also used to analyze P2TP2A currently operating. The collection of theories, typologies, analysis knives, the results of precedent analysis, and the results of analysis of the condition of P2TP2A are currently combined and produce a new design criterion for the new P2TP2A redesign process. Analysis of accessibility, climate, noise, view, and function around the site on the existing site P2TP2A currently produces a design strategy in the form of buildings, lighting, airing, and space relationships that will be combined with design criteria to produce zoning and overall design. Many things can be integrated between the DKI Jakarta P2TP2A redesign and the healing architecture approach, which starts from the zoning, orientation, and building mass by considering the aspects of lighting, view, noise, and relations with nature that will affect spaces in providing services on P2TP2A and the victim's healing process. The DKI Jakarta P2TP2A redesign is adjusted to the service needs of victims of violence and residents as well as applying healing architecture as a whole.. Keywords:  healing architecture, rehabilitation center for women
PENGARUH KEMISKINAN DAN PENGANGGURAN TERHADAP KRIMINALITAS DI INDONESIA DI TAHUN 2019

This study aims to examine the effect of poverty and unemployment on crime in Indonesia. The research data used 34 provinces (cross-section) in 2019. The method of analysis used is multiple linear regression models with OLS estimation techniques. The results of this study found that poverty has a positive and significant effect on crime. Crime can increase by 0.32 percent if poverty increases by 1 percent. Meanwhile, unemployment has a positive and significant effect on poverty. If unemployment increases by 1 percent, crime will increase by 0.36 percent. This research recommends that the government pays more attention to the poor, especially in policies that are more supportive and reduce poverty. Meanwhile, in the case of unemployment, the government needs to open more jobs so that crime will be reduced. Keywords: Poverty, Unemployment, Crime, OLS.
Teaching Knowledge and Practice in the Context of Remote Classes to High-Ability/Gifted Students

Emergency remote teaching was regulated by the National Council of Education through Decision nº5/2020, approved on April 28th 2020, in Brazil, as an alternative to cover for the absence of face-to-face teaching. The Ordinance states that remote teaching activities must be applied to students of all education levels, steps, and modalities. As such, the main objective of this study was to investigate, through a bibliographic research, what are the skills that teachers of high ability/gifted students should have in the context of remote classes. We undertook a qualitative bibliographic research by surveying material readily available for consulting on the internet, such as educational books, periodic publications, and laws pertaining to high ability/gifted students and their learning process. After sorting through this material, we conducted an analysis to discuss data and later compiled suggestions of potential methodologies that could be applied to online classrooms. Our findings emphasize that both teaching knowledge and practice must offer high ability/gifted students optimized challenges, which integrate provocative novelties and motivate the development of their abilities and the dynamicity in activities. Furthermore, they also foster the students’ autonomy, making individual interests deeper, as well as their creative, critical and research abilities. Therefore, active learning methodologies are an asset to the teaching-learning process of students with specific educational needs.
IDEMPOTEN PRIMITIF SKEMA ASOSIASI GRUP UNTUK MATRIKS GRUP ATAS Z_3

Some combinatorial problems in Mathematics can be studied via association scheme. By this scheme, algebra structure called Bose-Mesner algebra can be obtained. In this article, we show the explicit forms of the idempotent primitive of an association scheme for the group of order 48. Keywords : Association scheme, idempotent primitif
Cervical Cancer Cell Detection Based on Multi-Scale Feature Fusion

Background: Cervical cancer is the fourth most common gynecological malignancy in the world. Traditional cervical cancer cell screening usually requires a pathologist to observe thousands of cells under microscope and give a report against the diagnostic criteria. This method is not only time-consuming and labor-intensive, but also relies heavily on the doctor's experience and has a strong subjectivity. Cervical cancer cells detection is an essential method to prevent cervical cancer. The accuracy of traditional computer-aided cancer cell detection is low, because of cells overlapping. Methods: In this paper, we propose a detection method based on multi-scale feature fusion (DC-ResNet). Secondly, we introduce dilated convolution and group convolution in the backbone with deep residual network to improve resolution and model expression ability and obtain better cell feature representation. Multi-scale features are generated based on feature pyramid fusion network to ensure the detection of small cells. Then, based on unsupervised clustering, adaptive anchors of cervical cancer cells are generated to further improve the detection rate. In addition, the unbalanced sample contribution loss is reduced by defining a new Balanced L1-based loss function. Findings: Our algorithm adopts an end-to-end deep learning method to realize the detection of cancer cells on multi-cells pictures, and obtain the location while identifying cancer cells. The experiments results show that the proposed method achieves 50.4% mAP, which is 3 percentage points higher than the traditional method. Interpretation: DC-ResNet, a deep neural network based on multi-scale feature fusion to detecte cervical cancer cell, demonstrated good detection performance.Funding: National Natural Science Foundation of China (No.61472042, No.61802020); and the Beijing Natural Science Foundation (No.4174094).Declaration of Interest: None to declare.