Reviewerly/exHarmony huggingface dataset:
Knowledge Management System Usage and Organization Learning: Recent Trends and Open Problems

Knowledge management system and organizational learning are now increasingly popular and receiving much attention from organizations. Knowledge management system and organizational learning are important assets that could support the achievement of organizational goals. The objective of this article is to review and present a comprehensive review of the latest research related to knowledge management systems and organizational learning related to innovation and organizational performance. This article analyzes previous studies conducted in 1995 to 2018 (51 references) in terms of the research methods, advantages and limitations. The analysis results bring up issues and opportunities for future research related to knowledge management system and organizational learning. This article will help future researchers in finding interesting ideas to develop both theories and methodologies relation to future conditions. Besides, this article will provide more information and knowledge for organizations in implementing knowledge management systems and organizational learning.
Transformation of university teachers’ professional activity during the pandemic

The transition of the educational system to a distance format due to the spread of COVID-19 has led to a transformation in the nature and content of professional activities of university teachers. A wide range of research methods, the results of sociological surveys and interviews, as well as an analysis of text arrays from Internet resources, are used to assess the socio-psychological consequences of remote employment. Drawing a conclusion on their remote employment, teachers note the acquisition of a unique experience consisting not only in the mastery of online educational technologies but also in the implementation of new models of professional interaction with students and colleagues. Teachers associate the perspectives for further transformation of their professional activity with the formation of new combined (multi-format) models of education. At the same time, there forms a system of negative expectations as teachers believe that the launched process of transformation of education will lead to stricter requirements for the teacher as the subjects of educational and labor relations, as well as to the destabilization of the situation in the professional labor market.
Boosting the accuracy of phishing detection with less features using XGBOOST

Phishing has been for a long time a difficult threat in every society as it changes form with time and it has taken billions of dollars from governments, companies and individuals alike. It is an identity theft which employs a kind of social engineering attack to get vital information from individuals or group of individuals. In this paper we focus on studying various features employed in different phishing attacks. So many studies have been conducted on single feature to have high accuracy for attack detection while others advanced on the use of many features to detect different attack behaviors with high accuracy. Researchers have advanced the study to the adoption and standardization of thirty (30) features to be examined in phishing attack in order to achieve high accuracy of detection. We examined all the features used so far and used XGBOOST classification model to categories the features into different kinds to detect important features. The analysis revealed that some features hampers on the accuracy and are unfruitful which also contributes in slowing the whole detection process. The model helps us to select useful features and weeds out the useless features. This yields higher accuracy and less time in detection process.
What are students thinking and feeling Understanding them from social data mining

Students' digital footprints on social media shed light into their personal experiences. Mining results of these social data are useful for educators to understand students' mood swings and provide corresponding help. But due to the sharp increase of social data amounts, analysing these data manually is impossible. In this paper, we focus on Chinese college students, and explore a method to better understand them based on social data mining. The method firstly collects the social data related to students, creates a hierarchy category system based on data contents analysis; secondly, proposes a simple but effective multi-class classification method to classify the data into several concern categories; finally, carries out the sentiment analysis of each concern, and then looks deep into their emotion evolutionary process. Experimental results show that postgraduate entrance exam, final exam and other professional certificate exams are three prominent concerns of students, and they express worry about them.
Identifying land cover suitability factors for photovoltaic installations with focus on cropland and urban areas

&amp;lt;p&amp;gt;Solar photovoltaic (PV) systems will foreseeably be an integral part of future energy systems. Land cover area analysis has a large influence on estimatiin of long-term solar photovoltaic potential of the world in high spatial detail. In this regard, it is often seen in contemporary works, that the suitability of various land cover categories for PV installation is considered in a yes/no binary response. While some areas like natural parks, sanctuaries, forests are usually completely exempted from PV potential calculations, other land over categories like urban settlements, bare, sparsely vegetated areas, and even cropland can principally support PV installations to varying degrees. This depends on the specific land use competition, social, economic and climatic conditions, etc. In this study, we attempt to evaluate these &amp;amp;#8216;factors of suitability&amp;amp;#8217; of different land cover types for PV installations.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;As a basis, the openly available global land cover datasets from the Copernicus Land Monitoring Service were used to identify major land cover types like cropland, shrubland, bare, wetlands, urban settlements, forests, moss and snow etc. For open area PV installations, with a focus on cropland, we incorporated the promising technology of &amp;amp;#8216;Agri-voltaics&amp;amp;#8217; in our investigation. Different crops have shown to respond positively or negatively, so far, to growing under PV panels according to various experimental and commercial sources. Hence, we considered 18 major crops of the world (covering 85% of world cropland) individually and consequently, evaluated a weighted overall suitability factor of cropland cover for PV, for three acceptance scenarios of future.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;For rooftop PV installations in urban areas, various socio-economic and geographical influences come in play. The rooftop area available and further usable for PV depends on housing patterns (roof type, housing density) which vary with climate, population density and socio-economic lifestyle. We classified global urban areas into several clusters based on combinations of these factors. For each cluster, rooftop area suitability is evaluated at a representative location using the land cover maps, the Open Street Map and specific characteristics of the cluster.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Overall, we present an interdisciplinary approach to integrate technological, social and economic aspects in land cover analysis to estimate PV potentials. While the intricacies may still be insufficient for planning small localized energy systems, this can reasonably benefit energy system modelling from a regional to international scale.&amp;lt;/p&amp;gt;
Gesture Based Alphanumeric Character Detection

Numerous techniques are projected by several researchers for written also as written character and numeral gratitude. Recognition is the method of exchange of written text into computer legible type. To achieve the most effective accuracy of any recognition system the choice of feature extraction and categorization technique is critical. The information concerning the character is collected by the options and as a result, classifiers categorize the character decidedly. For written characters there is a unit drawback love it differs from one author to another, even once the same person writes the same character variety of times there's a division in form, size, and position of the character. Newest analysis during this space has used frequent styles of the method, classifiers, and options to reduce the complexness of recognizing written text. During this paper, benefits and downsides of 2 diverse techniques of feature extraction and sorting are mentioned.
Policy Suggestions for Fostering Teacher ICT Competencies in Developing Countries: An ODA Project Case in Peru

Many developing countries consider ICT as a key enabler to improve their educational systems and teachers are viewed as change agents. This paper aims to present policy suggestions concerning how to foster teachers’ ICT competencies in developing countries based on the outcomes of an ODA project case in Peru. This study was conducted through three stages: Literature survey, site visit, and policy suggestions. To draw relevant policy suggestions, we employed the framework of the ‘macro-meso-micro’ level of teacher professional development. The following policy suggestions are discussed: (a) macro level: to develop the national framework of teacher ICT competencies and competency-based teacher training, (b) meso-level: to promote teacher communities of practices and school-based research programs, and (c) micro-level: to redesign teacher professional development programs to help teachers better understand the complex relationships between content, pedagogy, and technology, beyond learning about basic ICT literacy skills. This study contributes to the understanding of how ODA projects can approach the issue of teacher ICT capacity building at multiple levels.
Towards Useful Word Embeddings: Evaluation on Information Retrieval, Text Classification, and Language Modeling

Since the seminal work of Mikolov et al. (2013), word vectors of log-bilinear models have found their way into many NLP applications and were extended with the positional model. Although the positional model improves accuracy on the intrinsic English word analogy task, prior work has neglected its evaluation on extrinsic end tasks, which correspond to real-world NLP applications. In this paper, we describe our first steps in evaluating positional weighting on the information retrieval, text classification, and language modeling extrinsic end tasks.
A Paper on Camera Array and Its uses

Cybercrime is one of the biggest crimes done by computer experts today. This paper addresses the need for cyber security, and some of the cybercrime's impacts. Cyber security is used to provide prevention against cybercrime. Cybercrime is a group of activities performed by people by causing network disruptions, stealing other essential and private data, documents, hacking bank details and accounts, and transferring money to their own. This paper contains detailed information about cyber security and cyber-crime. This covers cyber security types, cyber security challenges, cyber security problems, its benefits and drawbacks, cybercrime history, cybercrime types. Aim of Cyber Security is to protect systems, software, networks, computers and data from attack. Cyber security involves monitoring the physical access of the equipment, the program, the networks and protecting against harm that may occur through the networks. Today man can send and receive any type of data could be an email or an audio or video just by clicking a button but has he ever thought how securely his data Id is transmitted or sent to the other person safely without any information leakage.
PENERAPAN E-OFFICE SIPSMART DI UNIVERSITAS SEBELAS MARET

The purpose of this study was to determine the application of the SIPSMART e-office at Sebelas Maret University. The research method used is qualitative with a case study approach. Researchers present descriptive data in the form of informants or sources, field observations. Sources of data are informants, activities or events, as well as documentation or archives. The sampling technique was carried out using purposse sampling. Researchers in this study used triangulation of sources and methods in testing the validity of research data. The data analysis technique used in this research is interactive model data analysis. The SIPSMART application is used to store student achievement data which later the output from SIPSMART can be used for students as evidence of their achievement while being a student. The implementation of the SIPSMART e-office at Sebelas Maret University Surakarta has not been perfect, it can be seen from the steps that have been done have not yet yielded maximum results. Although the implementation of SIPSMART has been carried out through the planning and implementation stages. The planning stage consists of student competence and also server creation. Meanwhile, the implementation stage of the launching activity and also socialization. The socialization activities carried out were not concurrent at all levels of students, because the socialization conducted was only a few students, so that the information conveyed did not spread, so some students, staff, and lecturers still did not understand SIPSMART.
A Method of Delivering Fuel to Telecommunication Exchange Buildings in Disaster Response

In this paper, we propose a data-driven and end-to- end deep reinforcement learning-based method for delivering fuel to telecommunication exchange buildings right after large-scale disasters in order to restore or continue their services. Specifically, we generate a fuel delivery plan for telecommunication exchange buildings by proposing a complex neural network model and optimize the model with an end-to-end and data-driven based Actor-Critic method. This method accepts inputs of all features of telecommunication exchange buildings required for the disaster response from one end and outputs an optimized fuel delivery plan at the other end. The experimental results show the effectiveness, robustness, and functionality of our method both on a simulated dataset and a real corporation dataset with the information of 200+ real telecommunication exchange buildings. To the best of our knowledge, our work is the first to not only show potential practical usage in the disaster response of telecommunication services but also leverage the lack of real data or work records of past disaster response because of our proposed deep reinforcement learning-based optimization mechanism.
Survey of research undertaken by European geoscience partners of GeoERA Groundwater on contaminants of emerging concern in groundwater

This work was undertaken as part of the HOVER project, within the GeoERA programme of research. The purpose was to gain an overview of any work previously undertaken on organic compounds of emerging concern (CECs) in groundwater by members of the GeoERA HOVER project team. HOVER partners were asked to complete a brief questionnaire which covered their familiarity with the topic, whether their organisations held any relevant data and some more specific questions, e.g. about compounds studied.The overall response rate from the 35 organisations contacted was 86%. The results showed a range of familiarity with the topic. Fourteen of the organisations contacted hold data on organic CECs. Eleven organisations reported that they had undertaken work in this field in collaboration with partner organisations, while just 5 reported such work without partners. The most common reason for undertaking such studies was for general background surveys. Some organisations have focussed on particular types of compound (e.g. pharmaceuticals) while others have analysed for a wide range of compound categories.
A Case Study of Transporting Urysohn’s Lemma from Topology via Open Sets into Topology via Neighborhoods

Summary Józef Białas and Yatsuka Nakamura has completely formalized a proof of Urysohn’s lemma in the article [4], in the context of a topological space defined via open sets. In the Mizar Mathematical Library (MML), the topological space is defined in this way by Beata Padlewska and Agata Darmochwał in the article [18]. In [7] the topological space is defined via neighborhoods. It is well known that these definitions are equivalent [5, 6]. In the definitions, an abstract structure (i.e. the article [17, STRUCT 0] and its descendants, all of them directly or indirectly using Mizar structures [3]) have been used (see [10], [9]). The first topological definition is based on the Mizar structure TopStruct and the topological space defined via neighborhoods with the Mizar structure: FMT Space Str. To emphasize the notion of a neighborhood, we rename FMT TopSpace (topology from neighbourhoods) to NTopSpace (a neighborhood topological space). Using Mizar [2], we transport the Urysohn’s lemma from TopSpace to NTop-Space. In some cases, Mizar allows certain techniques for transporting proofs, definitions or theorems. Generally speaking, there is no such automatic translating. In Coq, Isabelle/HOL or homotopy type theory transport is also studied, sometimes with a more systematic aim [14], [21], [11], [12], [8], [19]. In [1], two co-existing Isabelle libraries: Isabelle/HOL and Isabelle/Mizar, have been aligned in a single foundation in the Isabelle logical framework. In the MML, they have been used since the beginning: reconsider, registration, cluster, others were later implemented [13]: identify. In some proofs, it is possible to define particular functors between different structures, mainly useful when results are already obtained in a given structure. This technique is used, for example, in [15] to define two functors MXR2MXF and MXF2MXF between Matrix of REAL and Matrix of F-Real and to transport the definition of the addition from one structure to the other: [...] A + B -&gt; Matrix of REAL equals MXF2MXR ((MXR2MXF A) + (MXR2MXF B)) [...]. In this paper, first we align the necessary topological concepts. For the formalization, we were inspired by the works of Claude Wagschal [20]. It allows us to transport more naturally the Urysohn’s lemma ([4, URYSOHN3:20]) to the topological space defined via neighborhoods. Nakasho and Shidama have developed a solution to explore the notions introduced in various ways https://mimosa-project.github.io/mmlreference/current/ [16]. The definitions can be directly linked in the HTML version of the Mizar library (example: Urysohn’s lemma http://mizar.org/version/current/html/urysohn3.html#T20 ).
Knowledge Management and its Impact on the Organizational Learning: An Experimental Study

Knowledge management (KM) is necessary for all to achieve competitive positions and advantages.Undoubtedly, the people who learn fast, can utilize knowledge gain predominance and excellence. This predominance can be achieved by the knowledge development through both preexisting or acquired knowledge. By keeping in view this fact, this research also examines the potential relationship between knowledge management, its components and, organizational learning. The researcher employed experimental approach and assess the proposed relationship by using the Structural Equation Modelling. Results revealed a strong, significant relationship between knowledge management, and e-Business(p≥ .022),knowledge adoption (p≥ .000), Technical Factors (p≥ .000), and Organizational Learning (p≥ .000). Results of Path Analysis also showed strong correlation between the proposed variables as their value ranged from .873 to .975. Thus, the study concluded that, knowledge management is a core component of achieving the organizational excellence. As the more employee are having knowledge, the more they can cope with the challenges. The researcher recommends more studies to examine this relationship between knowledge management and organizational wellbeing among all the levels of enterprise particularly in the United Arab Emirates to dig out more significant outcomes on knowledge management.
Developing descriptive reading materials in EFL classes by utilizing the local culture

This study aimed to develop instructional descriptive reading materials of Bangka local culture in Indonesia, which are valid, practical and have a potential effect for Tour and Travel Study Program students at a vocational school in Bangka Belitung Province. The developed product would be used as supplementary materials to fulfill the students’ needs. This study used the research design proposed by Akker (1999), covering the phases of analysis, design, evaluation, and revision modified by Tessmer (1993). The data were collected through questionnaires, semi-structured interviews, and a reading comprehension test. The data were analyzed quantitatively and qualitatively. In order to determine the validity, practicality, and potential effect of the developed product, a formative evaluation was conducted. Validity was evaluated in experts review related to the content, language, and instructional design. The result showed that the developed product reached a very high validity category with the average score of all aspects evaluated; it was 3.57. The practicality evaluated in one-to-one and small group evaluations were categorized as very high practicality since the average scores of both evaluations were 3.71 and 3.58. After trying out the field test, the developed product was considered to have a high potential effect since 73.91% of the students achieved the required passing grade. Therefore, it could be concluded that it is possible to use the developed product as supplementary materials for teaching reading for the intended students.
The Literacy Culture as a Way of Manifesting Quality Educational Institutions

The quality of education is closely related to the literacy culture of the community. The low literacy culture in children is alleged to have been the cause of the low quality of education in Indonesia. The purpose of this study was to determine the role of literacy culture in improving the quality of education, to find out how to increase the literacy culture of students, and to determine the supporting and inhibiting factors in improving the literacy culture of students. The method used in this research is a qualitative approach. The results showed that literacy culture is very influential in education, especially to absorb information and increase the skill level of students. Efforts to increase literacy culture include the Literacy Awareness Movement program and collaborating with various elements to increase literacy awareness.
Implementasi Aplikasi Klinik Pelayanan Rawat Inap dan Rawat Jalan

Information technology in the world is developing very fast. This is supported by the existence of electronic devices such as: laptops, telephones and others, with these tools it will make it easier for people to complete their respective jobs. In patient care requires, an information system that supports and provides satisfactory services for patients who visit or seek outpatient treatment and even inpatient care. The clinical system here still uses the manual method, where every time a patient registers, registration officers write patient data in the registration book, write patient medical records and report them. This method will allow for errors in recording, inaccurate reports and delays in finding the required data. With this, the authors create a computerized system that can speed up work, so that patients do not have to wait long and will look more conducive. This information system is created with a web-based program and is assisted by a software, namely sublime