Reviewerly/exHarmony huggingface dataset:
Task Scheduling with Cron Job using Cloud Brain

Most people have fear in their mind to share their secrets, specifically banking details with others but they have to share it with someone, because that will help in the situations like that person affected by memory loss or may death happen, these details also get buried. In this situation, his/her family members know the details to access the bank but the bank requires various certificates and proof. This will take too much time, but when using the cron jobs, these all processes can be done easily. Because all the details are already fed inside the program in cron. The purpose of a cron job is to make everything in schedule-based work and also automatic, cron is the word that comes from Greek which means time. So, the person wants to do a simple thing, use cron job by creating ASCII text cron file, and edit it by text editor and then run; it will do the given work at particular intervals regularly. Now in bank, the person can add alternative user details to the primary user account and also add cron time to the server-side, that's it; all these problems will be over
DIKG2: A Semantic Data Integration Approach for Knowledge Graphs Generation from Web Forms

Over the last two decades, semantic-based data integration has become one of the major data challenges. The use of semantic Web standards and Linked Open Data (LOD), especially knowledge graphs (KGs), provides support to address issues related to data access and integration. In this paper, we propose the approach DIKG2 to structure semi-structured data from Web forms and stored in a RDB and to facilitate the dynamic data integration in the KGs. By exploiting a common vocabulary between the Web forms and the entities of our domain ontology, OAFE, we describe the mapping process performed between RDB schema and the ontology’s conceptual schema.
Pragmatic Analysis on Deixis to Short Story of “What the Old Man Does is Always Right”

Language is a system to communicate with people around us. One branch of language is pragmatic. Pragmatic is the study of contextual meaning. Contextual meaning is getting from language use or relation of language and context. Deixis is one of study in pragmatic learn about the relation of language and context. Deixis or deictic expression is an expression to indicate to the participant, time, place, discourse and social status. The aims of this research are to found types of deixis and the dominant type used in “What the old man does is always right” written by Hans Christian Andersen in 1930. The story was taken from the internet website of http://hca.gilead.org.il/old_man.html. The source of data is that short story and the data is the word in that story point to types of deixis. This research used Levinson theory in categorized types of deixis. Types of deixis based on Levinson theory are person deixis, place deixis, time deixis, discourse deixis and social deixis. This research used descriptive qualitative method because the data analyzed in word form and explain the data descriptively. The data analyzed step are read the whole text, classified and analyzed based on the theory. The findings of this research are short story used five types of deixis and the dominant type used is person deixis (77.95%). The other types of deixis are time deixis (4.41%), place deixis (4.04%), discourse deixis (9.92%), and social deixis (3.68%). Deixis or deictic expression needed to have more understanding in read short story “What the old man does is always right”.
Stochastic optimisation of lookup table networks, for realtime inference on embedded systems

Neural networks running on FPGAs offer great potential for creative applications in realtime audio and sensor processing, but training models to run on these platforms can be challenging. Research in TinyML offers methods for transforming trained neural networks to run on embedded systems. Further gains might be made by training networks directly constructed from lookup tables (LUTs), the basic element of FPGA hardware. A novel method, Stochastic Logic Optimisation, is presented for supervised learning with feed-forward networks of LUTs. The method is found to significantly improve on the use of both a genetic algorithm and memorisation in a beat prediction task.
New Context-Specific Fit Criteria to reveal additional Insights in Structural Equation Modeling

Model (mis-)specification in structural equation modeling can cause researchers to arrive at wrong conclusions or missed insights. There are still contradictory results on how well fit criteria can detect misspecification. In two simulation studies and from empirical examples, we reveal two things. First, recommended fit criteria combinations only marginally cover model (mis-)specification because they still accept many misspecified models or reject too many correctly specified models. Second, the ability of fit criteria to detect (mis-)specification differs between confirmatory factor analysis and covariance-based structural equation modeling and is also subject to data and model characteristics. Therefore, we develop context-specific criteria combinations, which accept more correctly specified models than previous recommendations while rejecting the vast majority of misspecified models. Thus, researchers do not lose important insights but gain additional insights from their data. Beyond, we provide a tool to guide researchers on the appropriate/optimal selection of criteria combinations.
Limits of External Dependence for Development in Africa

Most African Countries and their leaders have been facing the problem of development of their various states. This situation has led many third world countries, particularly African countries to source for foreign assistance – financially and otherwise to solve their development problems since efforts made internally have not helped matters. Before the independence of most African countries, external aid was insignificant. Thus, one of the objectives of this paper is to examine the contributions and limits of external aid in Africa’s development efforts. The paper also assessed the impact of external dependence in Africa’s development. The paper adopts the historical description method of analysis. The sources of data include text, journal, internet, library research and works of other scholars related to the study. The study used the dependency theory as the framework for analysis. Findings show that African countries had depended on external sources, particularly from the developed countries for their developmental needs from the early period of their independence and the conditions given by the developed countries had brought about some limitations for Africa’s development. The paper, therefore, recommends that African countries must device an alternative sustainable development strategy that are less anchored on foreign sources for implementation, embark on serious regional economic integration and diversify their economies.Keywords: Limit, External, Foreign aid, Dependence, sources, Development, Nigeria, Africa.
PENYELESAIAN MASALAH DAN PENGAMBILAN KEPUTUSAN

Problem solving is a deviation between what should have happened and something that actually happened, so the cause needs to be found and verified. Decision making is making an assessment and making choices. This decision was taken after going through several calculations and alternative considerations. Before the choice is made, there are several stages that the decision maker may go through. These stages may include identifying the main problem, compiling alternatives to be selected and arriving at the best decision making. Many who say problem solving is the most important activity a manager performs is an oversimplified picture. Work in solving or solving problems is much more complicated than just problem solving, other activities such as communication are equally important. However, problem solving is one of the main activities that often determines the success or failure of a management career
LibGuides: ISU Libraries Production Lab: Home

This guide lists the technology, both hardware and software, available in the Production Lab.
Calibration fixation points that enable accurate gaze estimation with pupil image capturing camera installed almost next to eye

The One of the gaze estimation methods is to use a pupil image capturing camera installed almost next to the eyeball so as not to obstruct the user's field of view and due to the restriction on the installation space. However, when a pupil image is captured from the lateral direction, the center coordinates of the pupil of the user gazing at an intersection of a grid are distorted, and the accuracy greatly deteriorates with the conventional calibration technique. This research proposes a method of presenting calibration fixation points that enable highly accurate gaze estimation even when the camera is installed almost next to the eyeball and the pupil center coordinates are distorted.
Digital Geological Repository and Information on Stratigraphic Age (on the Example of DSpace)

A new approach related to the extraction of terms of relative geological age from the metadata of scientific geological publications is described. Based on the developed and adapted approaches and technological solutions, a set of macros is implemented that implements the functions of searching, extracting and adding new metadata to scientific publications.
EVALUASI SISTEM INFORMASI TEKNOLOGI MENGGUNAKAN PENDEKATAN FRAMEWORK COBIT 5.0 DOMAIN DELIVER, SERVICE AND SUPPORT (DSS) DAN MONITOR, EVALUATE AND ASSESS (MEA) STUDI KASUS: RSUD PESANGGRAHAN

The hospital is a community service institution in dealing with public health. Currently the pesanggrahan has a Regional General Hospital which was previously a puskesmas in the pesanggrahan sub-district. With the performance that has been implemented, this institution has succeeded in increasing its status to become a public hospital. However, service improvements will continue to be made for the benefit of people who need health services. One way that can be done is to measure the IT information system using the COBIT 5.0 framework. Researchers focused on measuring the Capability Level in 3 domains, namely the domain Deliver, Service and Support (DSS) domain, and Monitor, Evaluate And Assess (MEA). From the evaluation and measurement results, the resulting recommendations and assessment results in this study are DSS01 is at level 2, DSS02 is at level 2, DSS03 is at level 2, DSS04 is at level 1, DSS05 is at level 1, and MEA01 is at level 2. So that in this study the overall Capability Level is at level 2, therefore the recommendations given are further development to achieve the target. The desired Capability Level is level 3.
Complexities of Teaching Education in Indian Educational Scenario

Teachers all over the world are working in complex and diverse settings with various professional learning needs. Though these needs are very specific; they need opportunities for professional learning. The complexities of teaching and learning creates quality issues and challenges in Teacher Education. Teacher Education enables and empowers the teacher to cater the needs of profession and face the challenges therein. These days the field of Teacher Education has broadened in various new horizons. Changes and development in education has been affecting Teacher Education that necessitates reforms and reviews. Teacher Education System in India is rapidly changing with explosion of population growth, knowledge and innovative ideas and with advancement of science and technology. The present paper aims to highlight various complexities of teacher education in India through in-depth exploration of the published articles, researches and government reports. Some innovative practices are also discussed that could help in improving the conditions of various teacher training institutes. Some suggestions are also recommended for the teacher educators; policy makers and for the government.
Recipe recommendation and cooking instruction based on food material recognition

As devices such as depth cameras and projectors become cheaper, various methods have been proposed to make people's work environment smarter with AR technologies. In a kitchen, there would be a wide variety of advantages in an intelligent work environment, because people have to manage so many things such as various ingredients, typology of procedures with many recipes, and complicated work environment by mixing materials and tools. In this research, we aim to support cooking by recommending recipes with an installed projector and camera in the kitchen and projecting an operation interface. Our system recognizes ingredients with a DNN-based method called Mask R-CNN. It also has gesture controls that offer users contactless operations based on a Kinect depth sensor. We present four popular recipes obtained from a famous site named the Rakuten recipe. Displayed information includes dish names, ingredients, cooking procedures, process photographs, and time to cook. A series of user experiments with 10 participants was conducted to evaluate the usability of gesture operation with Kinect of the proposed system. The distance between Kinect and the hands of the participants is 0.8 (m). Each participant is given one trial and uses gestures to select one of four recipes displayed on a iMac screen. We received high evaluations (average 4.2 to 4.5 on a 5-point scale) in the results of the experiment questionnaire. Future work includes integrating more functions into our system, such as estimating ingredient amount based on the areas of recognized materials with Mask R-CNN, and cooking process recognition.
Информационные аспекты и макроаспекты: типовые проверочные задания по основам математических методов в соционике

This article is the twentieth in a series devoted to organization of student studies, where they will learn mathematical apparatus of socionics. A system of typical checking tasks on the topic “Information aspects and macroaspects” is proposed. Each of these tasks is formulated in a general way and then can be presented in several versions requiring the application of the learned material to a given specific case. It is assumed that all the students who have completed the course of study should learn to perform such tasks.
Simulation of the Effect of the Angle of Incidence on the Solar Panel for Three Solar Photovoltaic (pv) Systems in the Bogotá Savanna– Subparamo

The planet's pollution from greenhouse gases resulting from fossil energy sources' inefficient use, has made the scientific community reflect and has led it to search for new alternative and renewable energy sources to supply increasing energy needs. One of the sources that have had significant growth worldwide in the last decade is photovoltaic solar energy. However, one of the drawbacks with the use of photovoltaic technology is conversion efficiency. For this, alternatives are sought, such as the study of new materials with structures that facilitate the quantum photodetection of a given compound; minimize losses due to transient and harmonic in the regulation devices and inverters, and losses in the storage and transport of the energy generated. One proposal to increase the collection efficiency is solar tracking systems, making the panels remain approximately perpendicular to the direct light beam (direct radiation), from dawn to sunset. In this research work, three photovoltaic solar energy capture systems are compared using a simulation. The first case corresponds a fixed system in a horizontal position; the second case is a system fixed with an inclination of 10 degrees south latitude, and the third, a two-axis tracker. The information collected is taken in the municipality of Sibate, the coordinates 4 ° 30 ' 09.5  N, 74 ° 15 ' 20.2  W in the Savanna of Bogota. The purpose of this study is to use clean electrical energy to obtain bio-hydrogen using electrolysis. In the simulation, two periods, cloudy and clear, are determined based on a threshold taken experimentally in the panels and thus comparing the three systems. The results show that in clear periods the solar tracker has an energy conversion gain of 5 %. On the other hand, in cloudy periods, the three systems' panels showed similarity in the energy measurements captured.
Analisa Performa Internet Hotspot Area Menerapkan User Manager Menggunakan Router Mikrotik Di Lingkungan Perumahan

Communication without cable / wireless (wireless) has become a basic necessity or a new lifestyle of the information society. Wireless LAN, better known as Wi-Fi networks, is an alternative technology and is relatively easy to implement in a work environment. Installation of Wi-Fi network devices is more flexible because it does not require a cable connection between computers. An access point is a device commonly used in a wireless network (Hotspot area) where a user or users connect to the internet using air media through an access point device. In addition, this wireless-based network makes it easier for people to access the internet wherever they are. The implementation of this network installation consists of installing an RJ-45 connector on the UTP cable, configuring the router, configuring the Access Point, configuring the MikroTik HotSpot Server, and managing the user using the user manager feature. With the user manager-based HotSpot wireless network in a residential area, it will make it easier for residential residents to access the internet at a relatively low cost.
THE USE OF PUZZLE HUMAN (BOSARANG) TO IMPROVE STUDENTS’ WRITING SKILL OF DESCRIPTIVE TEXT AT THE EIGHTH GRADE STUDENTS OF SMPN 1 SUMARORONG

This research is aimedto know the outcomeof using Puzzle Human (Bosarang) to improvestudents’ writing skill of descriptive text at the eight grade students of SMPN 1 Sumarorong.  This research was classified as pre-experimental design to one group class. The population of this research were the eighth-grade students of SMPN 1 Sumarorong in academic year 2020/2021 that consist of 150 students. Purposive sampling technique was used to take a class as the sample of the research which consist of 32 students. The research used inferential analysis of t-test by using SPSS v.16.0, the researcher concludes that the use of puzzle human (Bosarang) can improve students’writing skill of descriptive text. The results of the research showed that there was a significant improvement in the students’ mean score writing skillwhen the students were taught by puzzle human (Bosarang) and whenwere taught only using textbook. The mean score of the students’ writing competence increased from 52,50 in pre-test, to 73,96 in post-test. The significance value calculated 0.000 is smaller than 0.05 (P-value = 0.000 < 0.05). Therefore, the hypothesis of this study was accepted. It shows that Bosarang totally increases students’ skill in writing
Unleashing Generative Modeling

Deep learning was stuffed away in the back closet for years, often thought of as a pseudo or fuzzy science. It wasn’t until the last decade that an explosion of growth has fostered in a new wave of AI. AI has matured from using supervised learning to more advanced forms of learning including unsupervised, self-supervised learning, adversarial learning, and reinforcement learning. It was from these other forms of learning that the area of generative modeling has come to flourish and advance in many areas.
Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning

Understanding artificial intelligence (AI) and machine learning (ML) approaches is becoming increasingly important for people with a wide range of professional backgrounds. However, it is unclear how ML concepts can be effectively explained as part of human-centred and multidisciplinary design processes. We provide a qualitative account of how AI researchers explained and non-experts perceived ML concepts as part of a co-design project that aimed to inform the design of ML applications for diabetes self-care. We identify benefits and challenges of explaining ML concepts with analogical narratives, information visualisations, and publicly available videos. Co-design participants reported not only gaining an improved understanding of ML concepts but also highlighted challenges of understanding ML explanations, including misalignments between scientific models and their lived self-care experiences and individual information needs. We frame our findings through the lens of Stars and Griesemer’s concept of boundary objects to discuss how the presentation of user-centred ML explanations could strike a balance between being plastic and robust enough to support design objectives and people’s individual information needs.
Usability Evaluation of Music Applications for Stress Reduction

People use music applications to provide comfort and to help keep their minds relaxed and stress-free . During times of reduced social activity, with corresponding increases in social distancing for health and public safety, many people face high levels of anxiety, loneliness, depression, and stress. Music applications can relive these concerns, by providing access to personal music libraries. However, many users make mistakes while using music applications. These mistakes include not noticing an element, taking a long time to complete a specific task, or failing to complete a task altogether. This can make the product difficult to use and challenging to learn, while failing to provide a pleasant, enjoyable experience. In this research, a comparative analysis was conducted with 20 users between 18–24 years old to investigate the interface design and functionality of the Spotify and Apple Music using human computer interaction methods and tools. The findings indicate the differences and similarities between the two user interfaces, indicating which music application platform provides a better user experience, particularly for users seeking stress reduction.
The Impact of Innovation Strategy on the Financial, Social and Environmental Performance

The core purpose of this study is to investigate the effect of innovation strategy on financial, social and environmental performance of companies listed on the Tehran Stock Exchange (TSE). The information used is from 129 companies listed on TSE in different industries between 2011 and 2018 (1032 observations). In order to analyze the data, a multivariate regression test was used. The results showed a positive and significant relationship between innovation strategy on financial performance and environmental performance. Also, the relationship between innovation strategy and social performance has a positive but insignificant. Innovation tools are also among the few management tools that can have a positive impact on both financial performance and the company's environmental performance. In this research, an attempt has been made to look at the idea of innovation from a financial point of view, and its results in the long run indicate the right choice of management to invest in the company's research and development unit.