Reviewerly/exHarmony huggingface dataset:
EVALUASI TATA KELOLA SISTEM INFORMASI AKADEMIK MAHASISWA UNIVERSITAS NUSANTARA PGRI KEDIRI

Higher education is an organization that requires information technology and adequate information systems so that its objectives can be achieved. An institute that applies information technology is expected to conduct an evaluation of information technology currently in use to help measure how well information technology governance is implemented. One of framework for evaluating governance is COBIT 4.1. This research focuses on the domain of monitoring and evaluating(ME) to evaluate the governance of student academic information systems at Nusantara University PGRI Kediri. COBIT 4.1 was chosen because it suits the educational context and can identify information technology resources (systems, people, data and technology). Data collection techniques are done by interview and questionnaire. The results of the study are the value of the level of maturity in the governance of SIAKAD in ME domain and the proposed improvement of governance. Based on the calculation of governance maturity level that is on average is at level two where the campus has been able to make planning and management of computer-based systems but there is no formal documentation. Keywords: Cobit 4.1, Monitoring and Evaluation, IT Governance
PENINGKATAN KEMAMPUAN KOMUNIKASI MATEMATIS SISWA MTs PADA MATERI FUNGSI KUADRAT MELALUI MODEL PEMBELAJARAN THINK PAIR-SHARE (TPS)

This research was conducted to determine how the influence of the Think-Pair-Share (TPS) cooperative model on the communication skills of students at MTS Negeri 1 Cimahi, especially in the quadratic function material. Classroom Action Research of often called Classroom Action Research (CAR) is a method  used in this research with the hope that it will provide information or how to improve the abilities of the teacher and student activeness in the learning process. In this research, the subjects were MTSN 1 Cimahi class IX-D students with a total of 33 students. The test is an instrument used in this study, with data processing techniques based on the average percentage of all students scores then compared with the minimum completeness criteria (KKM) in MTSN 1 Cimahi of 75. The result of the test based on the research that has been done, namely the TPS cooperative learning model have an effect on the increase in students comunication skill where there is a significant increase in the pre-cycle result of the students average score of 35,2 then after implementing cycle 1 learning, the average result of student experience an increase of 78. Based on the results obtained, it can be concluded and said that the research that has been done is complete because it has reached the desired target. Classes that have implemented the TPS cooperative learning model can create a more lively classroom atmosphere because it requires students to be active and creative during the learning process. So, this proves that the TPS cooperative model can improve student 'communication skills and students' learning completeness with quadrta function material in class IX-D MTSN 1 Cimahi.
The Effects of Corporate Social Responsibility on Overseas Mergers and Acquisitions

This survey studies the effects of corporate social responsibility (CSR) on overseas mergers and acquisitions (overseas M&amp;As) on acquirers’ corporate social responsibility (CSR) using a sample of Ghana multinational firms and MBA students. This study reveals that firms with overseas M&amp;A activities experience an improvement in CSR performance during the post-acquisition period, and this positive effect is more distinctive when the acquisition of targets is from developed markets than from emerging or low-quality markets. Besides, acquirers significantly improve CSR performance following their overseas acquisitions, suggesting that acquirers initiate efforts to improve CSR performance to gain legitimacy in host countries. The study equally finds that host country legal origins, social norms, and the acquirers’ exposure to multiple jurisdictions hold the keys to improving the CSR performance of acquirers. The results appear robust and valid to various measures of CSR and are effective when endogeneity concerns are addressed. Further analyses disclose that overseas M&amp;A firms with high CSR performance show greater CSR initiatives. Overall, our findings add to the field of literature on the influence of legal and social norm origins on shaping stakeholder-oriented practices by showing how overseas M&amp;As may aid as a critical channel through which overseas acquirers bond themselves to the better CSR practices of the host countries. Keywords: Corporate Social Responsibility, Mergers and Acquisitions and Overseas Investment DOI: 10.7176/EJBM/13-6-15 Publication date: March 31 st 2021
On the Computation of the Topological Entropy of Artificial Grammars

Based on a proposal by Warren and Schroeder (2015), we provide a simple script in the R programming language for the computation of the topological entropy (TE) from transition matrices created from their "subscripted element technique" as a measure of the complexity of artificial grammars (Bollt & Jones, 2000).We include a set of conventions for the transcription of grammar directed graphs to transition matrices that should provide for the consistent computation of the TE of artificial grammars.
Several constructions of LCD MDS codes

Linear complementary dual codes (LCD codes) have been widely studied because of their significant role in data storage and cryptography. Maximum distance separable codes with complimentary duals (LCD MDS codes) have the greatest error correcting ability, and so the construction of LCD MDS codes is a hot topic. By using the generator matrix of linear codes, the existence results of LCD MDS codes are given by Carlet et al. in 2018. Recently, several display constructions of LCD MDS codes are given by scholars via the generalized Reed-Solomoncodes, the algebraic geometry codes, the constacylic codes and so on. In this paper, we will introduce the main methods, results and recent progress of constructing LCD MDS codes.
Abstract: A Completely Annotated Whole Slide Image Dataset of Canine Breast Cancer to Aid Human Breast Cancer Research

Canine mammary carcinoma (CMC) has been used as a model to investigate the tumorigenesis of human breast cancer and the same histological grading scheme is commonly used to estimate patient outcome for both. One key component of this grading scheme is the density of cells undergoing cell division (mitotic figures, MF). Current publicly available datasets on human breast cancer only provide annotations for small subsets of whole slide images (WSIs).
Екологічний моніторинг ландшафтних ділянок з використанням регуляризованих штучних нейронних мереж

The problem of recognition and analysis of landscape objects cartographic images for localization of pollution areas,monitoring of changes of images contours under the influence of natural and anthropogenic factors is considered. Thearchitecture of a deep neural network is proposed that uses the technique of regularization of artificial neural networksto prevent its overfitting. The results of the construction, training and application of a convolutional neural network withthe Dropout elimination procedure for problems of ecological landscape monitoring are presented. The prospects ofusing the proposed approach for image recognition of problematic landscape areas are determined.
Face Mask Detection with Alert System using Artificial Intelligence: Implementation of a Pre-Trained Model in Detection of Masks

Face mask detection system will be considered as one of the best modalities for biometric info extracting models. Those models are mainly required for ensuring safety and hygiene in a public premises. This research paper has proposed a very fast image pre-processing with the mask in the center over the faces. For this system, we will be using characteristics extraction and CNN Networks made up of neurons which will be used ultimately for classifying the data into labels. Features extracted by neurons in the training phase are used for classification and detection of a masked person from person without mask. This research work will be carried out in three levels: preprocessing the images, cropping the images considering resizing as well and classification of the images. This helps to detect whether the face is having mask or not. A webcam or CCTV camera surveillance will be monitoring all the time and it checks whether the person is wearing a mask, if the person doesn't wear a mask then the system gives a security alert with a instantaneous pop-up on the window along with an email is sent to respective authorities, thus will be helping authorities find out the intruder as early as possible, and impose penalties upon that person.
A diskurzusjelölők a telefonos ügyfélszolgálati beszélgetésekben

Type, frequency and function of discourse markers (e.g. hat „well”, jo „right”, ugye „[tag]”, szoval „so”) present important information about the text types. In this paper I show what text type dependent and independent features of discourse markers can be observed in a corpus built from call center conversations. Moreover, I also exhibit how these elements reﬂect unintentionally the feelings of participants and how these elements improve or deteriorate the eﬃciency of the communication. On the part of the operator, recording the call requires exact relaying of the information and swift problem solving, and this is aided by reformulation markers, politeness phenomena, and mitigating discourse markers. The recording of the conversation and the semi-institutional situation often makes callers uneasy, which is manifested in their searching for words, and use of disﬂuency phenomena and mitigating  elements. Due to question–answer adjacency pairs, the use of discourse markers employed as general answer markers are frequent in the speech of both types of speakers. However, role-speciﬁc usage appears in operators using jo? to conﬁrm, and hat as a politeness element and mitigator. Operators are required to be objective in their style and to attempt to calmdown callers besides providing the required information. Callers often start conversations with a negative attitude, and their strong emotionality, indignation, anger, and irony is clearly detectable in the discourse markers they use.
대학의 호텔 및 관광관련 전공의 통합적 교육과정 모형 개발을 위한 탐색적 연구

This study was conducted to present an integrated curriculum model applicable to tourism- related majors in order to solve problems raised among tourism-related majors, strengthen the linkage of curriculum, and respond to multidisciplinary convergence education. In order to achieve the research objectives, a wide range of theoretical prior research reviews on curriculum models and case studies were conducted at 14 major universities in Korea and abroad. The curriculum model proposed in this study proposed three types of training for tourism practitioners, training for tourism management personnel, and training for tourism convergence talent for flexible use depending on the purpose of tourism education. The main implications of this study are first, the integrated curriculum model that can be used in tourism-related majors that can improve the lack of educational purpose, fragmentary curriculum, theory and knowledge imbalance, and lack of practical education. Second, major universities in Korea and around the world presented a model of curriculum that is practically applicable to universities through an analysis of the cases of curriculum operation. In addition, the detailed curriculum also features an exploratory model of tourism professionals who can adapt to the times by reflecting the recent issues of the Fourth Industrial Revolution response, competency, track and intensive curriculum.
Deployment and Migration of Virtualized Services with Joint Optimization of Backhaul Bandwidth and Load Balancing in Mobile Edge-Cloud Environments

Mobile edge-cloud computing environments appear as a novel computing paradigm to offer effective processing and storage solutions for delay sensitive applications.Besides, the container based virtualization technology becomes solicited due to its natural lightweight and portability as well as its small migration overhead that leads to seamless service migration and load balancing.However, with the mobility property, the users' demands in terms of the backhaul bandwidth is a critical parameter that influences the delay constraints of the running applications.Accordingly, a Binary Integer Programming (BIP) optimization problem is formulated.It minimizes the users' perceived backhaul delays and enhances the load-balancing degree in order to offer more chance to accept new requests along the network.Also, by introducing bandwidth constraints, the available user backhaul bandwidth after the placement are enhanced.Then, the adopted methodology to design two heuristic algorithms based on Ant Colony System (ACS) and Simulated Annealing (SA) is presented.The proposed schemes are compared using different metrics,and the benefits of the ACS-based solution compared to the SA-based as well as a genetic algorithm (GA) based solutions are demonstrated.Indeed, the normalized cost and the total backhaul costs are given by more optimal values using the ACS algorithm compared to the other solutions.
Geostatistical inversion of electromagnetic induction data for landfill modelling

&amp;lt;p&amp;gt;The characterization and monitoring of landfills has become a major concern, not only for assessing the associated environmental impact (e.g., groundwater contamination) but also for evaluating the potential for recovery of secondary resources, in particular for the production of raw materials and energy. For both objectives, it is crucial to have knowledge of the waste composition and the current landfill conditions (e.g. water saturation level). Near-surface geophysical surveys have been proven effective for the non-invasive investigation of landfills, in which different methods have been used depending on the specific survey targets. &amp;amp;#160;Because of its sensitivity to two subsurface physical properties, electrical conductivity (EC) and magnetic susceptibility (MS), frequency-domain electromagnetic (FDEM) induction has been successfully applied to the qualitative characterization of urban and industrial landfills, including mine tailings. Yet, due to the generally complex composition and strongly heterogeneous spatial distribution of waste deposits, reconstructing a reliable landfill model from surface geophysical measurements remains challenging. Geostatistical inversion emerges as powerful tool to improve the landfill modelling from geophysical data, allowing for a more detailed description of the spatial distribution of the properties of interest and the associated uncertainty. Additionally, it provides a flexible framework for integrating data from geophysical surveys and conventional sampling from drilling or trenching.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this work, we present a new geostatistical inversion technique able for the simultaneous inversion of FDEM data for EC and MS, which optimize the landfill modelling procedure and is sensitive towards change on the physical properties of interest. This method is based on an iterative procedure where ensembles of subsurface models of EC and MS are generated with stochastic sequential simulation and co-simulation. These simulated models are conditioned locally by existing borehole data for these properties and by a spatial continuity pattern imposed by a variogram model. Synthetic instrument response data, including both the in-phase and quadrature-phase components of the FDEM response, are generated from each model using a forward model connecting the data domain (FDEM data) with the model domain (subsurface physical properties). The misfit between the observed and forward-modelled FDEM data, weighted according to the depth sensitivity of the FDEM response toward changes in EC and MS, is used to drive the generation of a new set of models in the next iteration. We illustrate the inversion procedure with synthetic landfill example data sets which were created based on real data collected at a mine tailing in Portugal and a municipal solid waste landfill in Belgium.&amp;lt;/p&amp;gt;
A constraint programming algorithm for finding leximin-optimal allocations

In the context of constraint programming, we propose an algorithm solving the following problem: allocate in an equitable and efficient way a finite set of objects to agents each having their own utilities, under admissibility constraints. The algorithm calculates an allocation maximizing the leximin order on the utility profiles of the agents. We also describe the field of application that motivated this work: the sharing of satellite resources. We extract a simple and precise problem of fair allocation, which serves as a basis, thanks to a generator of test sets, for the evaluation of the proposed algorithm. Two implementations of the algorithm are compared, one in "pure" constraint programming, with Choco, the other in mixed linear programming with Cplex.
Texture Classification using Angular and Radial Bins in Transformed Domain

Texture is generally recognized as fundamental to perceptions.There is no precise definition or characterization available in practice.Texture recognition has many applications in areas such as medical image analysis, remote sensing, and robotic vision.Various approaches such as statistical, structural, and spectral have been suggested in the literature.In this paper we propose a method for texture feature extraction.We transform the image into a two-dimensional Discrete Cosine Transform (DCT) and extract features using the ring and wedge bins in the DCT plane.These features are based on texture properties such as coarseness, smoothness, graininess, and directivity of the texture pattern in the image.We develop a model to classify texture images using extracted features.We use three classifiers: the Decision Tree, Support Vector Machine (SVM), and Logarithmic Regression (LR).To test our approach, we use Brodatz texture image data set consisting of 111 images of different texture patterns.Classification results such as accuracy and F-score obtained from the three classifiers are presented in the paper.
LibGuides: Education: Articles

This guide provides information resources tailored to students and faculty in the Professional Education department.
Third Party Risk Management

Every organization relies upon third party vendors for a multitude of business operations. Despite the requirements to rely upon third party vendors, only 52% of organizations have security standards for third party vendors (Matis, 2019, para. 2). Furthermore, a study surveying 608 information technology (IT) professionals indicated that 69% of the respondents either definitely suffered a security breach or possibly suffered a security breach due to vendor access within the year (Bomgar, 2019, p. 2). Finally, a staggering 94.3% of executives possess low to moderate confidence in their third-party risk management tools and technology (Deloitte, 2018, para. 3). These statistics are the direct result of complex business relationships, dynamic information technology exchanges, and a lack of awareness outside of those directly working within the information technology realm. Additionally, the lack of information technology personnel who aspire to upper echelons of business management contribute to the overall risk factors.In June of 2018, Universal Music Group became aware of a massive data breach that exposed file transfer protocol credentials, Amazon Web Services cryptographic keys, and internal passwords due to improper handling of a third-party cloud storage provider. The technical aspects of the breach reveal that a contractor working at the cloud storage provider administered an apache airflow server without password requirements (Cimpanu, 2018, para. 3). The damage has yet to be quantified and it is unclear how many customers this data breach has affected (Cyber GRX, 2019, para. 7). What the data breach represents is something far greater than another data breach amongst many but rather how devastating the effects a single lackadaisical contractor can have for an organization. The Target data breach is a similar example with many more secondary and tertiary effects caused by a single heating, venting, and air conditioning contractor.Risk is generally dealt with through the use of transferring, accepting, avoiding and mitigating (Cannon, 2014, p. 48). Risk transference is the most popular method of handling risk and results in the use of many third-party vendors for organizations (ISACA, 2016, p. 113). When opting to use third party vendors, an organization is choosing to transfer risk due to the inability or lack of feasibility for conducting the action on their own. Across the cyber domain, many organizations opt to place their data in cloud storage as this is scalable and affordable. However, cloud solutions are just as vulnerable to exploitation as an on-premises datacenter (Muncaster, 2019, para. 3). Perhaps the issue rests in the lack of education on vendor risk management. Cyber insurance is another method of transferring risk as the cost of the average data breach continues to grow each year. This paper will aim to underscore the importance of vendor risk management and options organizations have to address such risks.
WITHDRAWN: Secure identity based proxy re-encryption techniques for healthcare system

Cloud computing revolutionises many environments with easy-to-use enterprise applications that are easy to connect, customised, streamlined and scalable. This change of opinion calls for a broad spectrum of security and privacy concerns to be taken into consideration. Online Medical Stuff (IoMT) technology has increased the potential to interconnect medical specialist sensors in e-health. However, there are various provisions to incorporate these two innovations. The most challenging is the safety of medical knowledge and hence the difficulty of the sensing element equipment from a small environment. With the implementation of an increasingly reliable and cost-effective cloud platform (IoMT), a health care system with a high degree of public verification can be given.
The Use of Mobile Device in the School for Learning and Teaching System a Literature Review

Students have significantly increased the usage and possession of mobile digital devices, contributing An improvement with the use of personal Phone devices for educational environments.The objective of this research was to assess the viability of integrating digital technology into the learning and teaching process.However, this literature review configuration was how utilizing mobile technologies facilitates educational content for teaching and learning purpose.The review process started with a search engine, Google Scholar and IEEE, to search for papers with keywords by using search and review methods.The impact on student learning of the integration Around portable devices was explored in this study and found It seems that the total impact that use devices is great for education.than using any technology or using desktop computers.These findings indicate That it is important for teachers to use several Various and sundry instruments To build motivated active learning, but each one of them instrument The major purposes are both and constraints.