Reviewerly/exHarmony huggingface dataset:
Predicting primary commodity prices in the international market: an application of group method of data handling neural network

The fluctuations in primary commodity prices have a significant impact on global economy. Therefore, forecasting price of major commodities prices has been getting much attention both from academic and practitioners' communities. The objective of this study is to develop a model based on group method of data handling (GMDH) technique in one day-ahead forecasting the market prices for major commodities including copper, crude oil, gas and silver. The data on commodities trading were collected from January 2000 to October 2019. In order to validate the effectiveness of the proposed model, other models based on adaptive neuro fuzzy inference system (ANFIS), artificial neural network (ANN), long short-term memory (LSTM) were also developed. The performance indexes including RMSE, MAPE, MAE, R and Theil’s U were used to make comparison of the models. The results showed that the proposed model based on GMDH technique outperforms than other methods in prediction of commodity prices. The GMDH-based model provides a promising alternative for price prediction. The GMDH can be a useful tool for economists and practitioners dealing with the forecasting of the commodity price.
The Effect Of Using Sketch And Label Organizer Strategy In Writing Descriptive Text At Madrasah Aliyah Al-Wasyiliah 22 Medan Tembung 2018/2019 Academic Year

This research was conducted to know the effect of applaying Sketch and Label Organizer Strategy on the students’ achievement in writing descriptive text. The population of this rsearch was taken from the students grade eleven of MAS AL-Wasiliyah 22 Tembung in the academic year of 2018/2019, which consist of two classes. The total number of student in each group, 20 students for experimental group and the other 20 student for control groups. The experimental group was taught by applaying sketch and label organizer strategy while the control group was taught without using sketch and label organizer strategy. The researcher used a writing test to collect the data. The test consisted of two types, namely pre-test and post-test. The data were analayzed by using t-test formula. After analayzing the data, the result of the research showed that the velue of t-observed was higher than the velue of t-table (63,8 > 2.030 ) at the level significance of α = 0,05 and at the degree of freedom (df) = 40. It can be conclude that applaying sketch and label organizer strategy has significant effect on students achievement i writing descriptive text or in other words the alternative hypothesis (Ha) was accepted.
Use of Landsat 7 and 8 Multispectral Image for Mineral Exploration : Case of Bou-Azzer-El Graara inlier, Morocco

Remote sensing is an indirect tool for prospecting the Earth's surface. It is very powerful especially in its applications related to the field of geology. This work is part of the use of remote sensing as a tool to direct prospectors to areas that may contain mineral concentrations, saving both time and cost. We will limit ourselves mainly to the study of a Landsat 8 satellite image captured on 22 July 2016 around the Precambrian inlier of Bou-Azzer-El Graara, Anti Atlas Central region in Morocco and another Landsat 7 image. The latter did not give good results considering the problem at the level of the image sensor unlike that of the Landsat 8; the Optimum Index Factor (OIF) calculation makes it possible to detect that the most important colored components are, in the order of priority, 567 (with the OIF = 8830), 467 (with the OIF = 8446), 456 (with OIF = 8387) and 367 (with OIF = 8063); The reports of the bands, rations, and the Principal component analysis PCA, made it possible to carry out a cartography lithological and hydrothermal alteration as well as maps of lineaments by means of the directional filters; the assembly and the interpretation of these information plans allow us to know the zones with mining potential. The validity of the models is tested by comparison with field data and geological maps of the studied site.
Computer simulation of optimal tilt angles of photovoltaic module for maximum solar irradiation at locations in southern Nigeria

Numerical algorithm was developed to simulate optimal tilt angles at which maximum solar radiation was incident on south-facing photovoltaic (PV) module. A MATLAB Code was implemented to examine the relationship bet-ween solar irradiation and module tilt angles for four locations in Southern Nigeria, and the results were validated with data from Meteorological Agency of Nigeria. The Code facilitated faster computation of the optimal tilt angles, rather than manual and time consuming calculations; and ensured accurate installation of PV systems for imp-roved efficiency and performance; thereby enhancing the prospects of solar energy utilization. The simulation algorithm was based on mathematical formulation of global solar intensity as a function of solar declination angle, hour angle, irradiation on horizontal and tilted surfaces, clearness index and diffused radiation at the location. The optimum tilt angles were determined for each month by selecting the corresponding values of angles for which the highest radiation intensities were received. The computer simulation confirmed that Calabar, Uyo, Warri and Owerri on nearly same latitudes had identical optimum monthly tilt angles; and for best performance, fixed solar PV module must be oriented to face south at optimal tilt angle equivalent to the latitude (°) of the location.Keywords: Optimum Tilt Angle, Photovoltaic Module, Solar Angles, Albedo, Hour Angle, Global Irradiation
RANCANG BANGUN ABSENSI MAHASISWA AMIK IBRAHIMY BERBASIS WEB MENGGUNAKAN PHP DAN MYSQL

The attendance list in AMIK Ibrahimy still applies manual way. The problems faced in this case are students sometimes do not find the attendance list paper since it is gone and there sometimes appears deceitfulness since the students can easily change their absence status to presence. The researcher wants to make web-based attendance list to enable the staffs and the lecturers in identifying the students’ presence in the attendance list, recapitulating the monthly attendance as well as identifying which students are present or absent during the lecture. To solve the problems, it is then made web-based attendance list of AMIK Ibrahimy students that can enable the staffs and the lecturers in processing the attendance list, recapitulating the attendance list in order to avoid any deceitfulness of students. The researcher intentionally uses web that can be accessed through laptop or computer for processing the attendance list. The attendance list application that is designed aims at helping the AMIK Ibrahimy students attendance list that is web-based. Through this web-based attendance list, it is expected that it can be more accurate, faster, and easier in processing the information even with the huge number of students.
Development of Skill Evaluation System Using Mixed Reality and Measuring the Effect of Evaluation Quality

In this paper, we propose a skill evaluation and evaluation training system using MR (Mixed Reality) in order to solve the problems in quality of skill evaluation such as the mental workload of the evaluator and the dispersion of evaluation in skills competitions. In this demonstration experiment, the system’s viability was measured through three indices : mental workload, evaluation time, and evaluation accuracy, taking the evaluation process used in WorldSkills competition as an example. The results showed that the proposed system has the potential to resolve several issues regarding quality of skill evaluation at skills competitions.
BUSANA BAJU KURUNG MELAYU KEKINIAN MENDUKUNG EKONOMI DAN INDUSTRI KREATIF

This study aims to determine the extent to which the millennial men know the Malay clothing that is used, at what time to use the Malay attire, then the type of Malay attire used and want to know the impression of using the Malay attire and what changes are desired from the Malay attire . This quantitative research is located in Bengkalis. Data collection techniques were carried out using a questionnaire in the form of a questionnaire, while the study population was a group of millennials aged 16-25 male with 100 people. The results of this study note that millennials are more familiar with Malay weasel clothing as brackets as compared to Malay bay brackets, millennial groups often use Malay attire during major holidays such as Eid al-Fitr and Eid al-Adha. The style or type of millennial group when using Malay attire brackets is to wear clothes but to wear pants in addition to pants and brackets suit sampin. Millennials feel uncomfortable using Malay attire brackets and the uncomfortable parts are in the clothes and pants. From these results it is hoped that creative economy activists, especially in the field of fashion, can develop their creative power to realize contemporary Malay fashion forms.
A Social Media Ontology-Based Sentiment Analysis and Community Detection Framework: Brexit Case Study

Nowadays social media content is the fuel of almost all kinds of domains, due to its rich and ever-increasing quantity of data. Digging this content can lead to extracting valuable information that can enhance business products and services, politic decisions, socio-economic systems and more. To this end, sentiment analysis and community detection represent two of the main methods used to analyze and comprehend human interactions within social media. Also, to get meaningful results, filtering social content is needed, here where domain ontology can be a great assistant in collecting specific data, as it describes the domain’s features and their existing relationships. This current work depicts our social media analysis Framework, where we apply lexicon-based and machine learning approaches to extract expressed sentiments of social media users toward a subject, and also used a community detection algorithm to highlight the formed groups within the network. Besides, the resulting Framework not only focuses on analyzing textual data (by taking into account the negation and sentence POS tags), but also visual content shared by users, such as images. For the testing purpose of our Framework, we chose to analyze the British exit (“Brexit”) case by collecting ontology-based data from Twitter and Reddit, and it had some promising results.
In Memoriam: Mitchell F. Portnoy (1956–2019)

On the evening of 15 October 2019, the president of the New York Mineralogical Club (NYMC), Mitchell F. Portnoy, passed away peacefully after battling an aggressive and rapidly spreading form of ly...
GREEN TRAINING AND CORPORATE SUSTAINABILITY OF FOOD AND BEVERAGE MANUFACTURING FIRMS IN RIVERS STATE

This study examined the relationship between green training and corporate sustainability of food and beverage manufacturing firms in Rivers State. The study was designed as a cross sectional survey with data generated through the administration of structured questionnaire to a sample of 102 participants from a population of 114 managers and supervisors from all (6) Manufacturers Association of Nigeria (MAN) registered food and beverage firms in Rivers State. The reliability of the instrument was achieved by the use of the Cronbach Alpha coefficient with all the items scoring above 0.70. The hypotheses were tested using the Spearman Rank Order Correlation with the aid of the Statistical Package for the Social Sciences. The study findings revealed that there is a significant relationship between interactional justice and all the measures of employee attitude of Deposit Money Banks in Rivers State. It was therefore stated in conclusion that green training approaches contributes meaningfully towards outcomes such as environmental, social and economic sustainability. The study recommended therefore, training programs should focus on engaging workers in active sustainability activities. Programs should be designed to allow for actual awareness and the development of positive attitudes towards the environment, the social development of host communities and organizational operational context as well as the adoption of business practices that embrace healthy and sustainable pursuit of economic wellbeing of the organization. Keywords: Green Training, Organizational Sustainability, food and beverage manufacturing firms CITATION: Eke, G. O. (2020). Green training and corporate sustainability of food and beverage manufacturing firms in Rivers State. The Strategic Journal of Business &amp; Change Management, 7(1), 483 – 494.
DevSecOps PRACTICES FOR AN AGILE AND SECURE IT SERVICE MANAGEMENT

Without appropriate consideration of security best practices, the continuous delivery of IT services facilitated by DevOps is risky. On the other hand, SecOps offers the possibility to reduce security risks if security is integrated into the continuous delivery pipeline according to best practices.The purpose of this paper is to investigate how DevSecOps culture can be applied in IT service management. We interviewed representatives of five Middle East and North Africa (MENA) organizations that are adopting SecOps in their ITSM daily activities. We note that the majority of respondents expressed the potential of common DevSecOps such as automated monitoring to improve ITSM. This research provides novel findings of a possible relation between DevSecOps practices and IT service management controls as well as on “why” and “how” can these practices help ITSM. The novelty of the findings brings advantages for academics, and due to the exploratory nature of this research, it extends the body of knowledge. It also provides contributions for practitioners, by showing how these practices can be applied and the result of the implementation of these practices.
A Feature Pair Based Method for Online Moving Object Detection from High-Resolution Airborne Videos

Current researches on moving object detection from airborne videos mainly focus on low-resolution videos. Recently, to achieve a wide-area of fine-grained surveillance, most of unmanned aerial vehicles (UAV) prefer capturing high-resolution videos. Traditional methods usually require the processing of many neighboring frames to achieve a good performance for detecting moving objects in a frame. However, for high-resolution videos, due to limited computing resources, it is difficult to process many frames online, making traditional methods unsuitable for this task. In this paper, we propose a feature pair based method for moving object detection from high-resolution videos. It only needs two frames to detect moving objects and most of operations are performed in the feature pair domain with high efficiency, being well suited for high-resolution situation. Moreover, we design four strategies, i.e., feature pair extraction, matched pair refinement, moving pair determination, and clustering strategies, to enable an accurate detection of moving objects. Experimental results demonstrate an excellent performance of the proposed method for moving object detection from high-resolution airborne videos.
A study on the influence of corporate social responsibility on investors investment behavior in public limited companies in Pakistan.

Primarily, the objective of this research is to study the influence of corporate social responsibility (CSR) engagements of public listed companies and its influence on investors investment behavior in Pakistan.The objective is to see how CSR engagements of public listed companies influence investors investment decision.Quantitative data was collected from a sample of 100 institutional and retail investors in Pakistan. The findings reveal that CSR engagements of public listed companies influence investors investment decision in Pakistan.The conclusion is, companies need to increase CSR practices, by engaging more in environmental, and social activities, as by companies will attract more investors and it will also increase the firm value. This will help them gain economic benefit and will make Pakistan, a place for an attractive business environment. Keywords: CSR, Environmental, Social, Firm Value and Assurance.
Construction of the Ontology Design for Political Parties’ Ideological Characteristics

We construct an ontology design of political parties’ ideological characteristics. The ontology is basically constructed from the concept lattice that has been built regarding the ideo-logical characteristics of the parties. Moreover, we also perform knowledge acquisition from pertinent studies concerning political parties’ identities. We also conduct correctness checking for the resulting ontology to check whether it is correct in accordance with the previously built concept lattice. The analysis results show that the ontology is correct with respect to the canonical basis of implication rules resulted from the associated formal context and concept lattice.
Pengaruh Model Pembelajaran Team Assisted Individually dengan Crossword Puzzle Terhadap Minat Belajar Siswa Sekolah Dasar

This study aims to determine whether there is an influence of the Team Assisted Individually (TAI) learning model through crossword puzzles on student learning interests. This study uses a quantitative research approach with a Quasi Experimental Design research design with the Nonequivalent Control Group Design research design. The sample used was VA class students totaling 37 students as the experimental class and VB class totaling 38 students as the control class at SDN Bandungrejosari 3 Malang City. The instrument used was a questionnaire. Based on the results of hypothesis testing using the t-test with the help of the SPSS 16.0 program for windows, the ttable value was 1.666 and the tcount was 16.136. Sig value (2-tailed) of 0,000. Because the value of tcount &gt; ttable (16,136 &gt; 1,666) and significant 0,000 &lt; 0,05, Ha is accepted and Ho is rejected, so it is concluded that there is a significant effect of the Team Assisted Individually (TAI) learning model through crossword puzzle on the learning interest of students in class V SDN Bandungrejosari 3 Malang City.
Intel Core i7 7700K

The Core i7-7700K is Intel’s flagship Kaby Lake based CPU which is reported to have the same IPC as its predecessor, Skylake. Comparing the 7700K and 6700K shows that both average effective speed and peak overclocked speed are up by 7%. Most of the increase in average effective speed is explained by the 5% boost in base clocks from 4.0 to 4.2 GHz. The improved peak lab speed is attributable to a combination of better overclocking capacity and improvements in Intel’s speedshift technology which make the 7700K slightly more responsive. Kaby Lake also has marginally better HD 630 integrated graphics. The i7-7700K is priced similarly to the i7-6700K so for top end gaming and workstation builds, the 7700K is the clear choice for 2017. AMD’s Ryzen will release later this year so things could change at that time. [Jan '17 CPUPro]
Algorithmic Regulation and (Im)perfect Enforcement in the Personalized Economy

Technological advances in data collection and information processing makes it possible to tailor legal norms to specific individuals and achieve an unprecedented degree of regulatory precision. However, the benefits of such a “personalized law” must not be confounded with the false promise of “perfect enforcement”. To the contrary, the enforcement of personalized law might be even more challenging and complex than the enforcement of impersonal and uniform rules. Starting from this premise, the first part of this Essay explores how algorithmic personalization of legal rules could be operationalized for tailoring disclosures on digital marketplaces, mitigating discrimination in the sharing economy and optimizing the flow of traffic in smart cities. The second part of the Essay looks into an aspect of personalized law that has so far been rather under-researched: a transition towards personalized law involves not only changes in the design of legal rules, but also necessitates modifications regarding compliance monitoring and enforcement. It is argued that personalized law can be conceptualized as a form of algorithmic regulation or governance-by-data. Therefore, the implementation of personalized law requires setting up a regulatory framework for ensuring algorithmic accountability. In a broader perspective, this Essay aims to create a link between the scholarly debate on algorithmic decision-making and automated legal enforcement and the emerging debate on personalized law.
Collaborative Implementation of Hardware-Oriented GBDT Compress Algorithm Based on DSP+FPGA

GBDT (Gradient Boosting Decision Tree) is an algorithm that builds multiple decision trees by iteratively updating. Due to its strong generalization ability and fast operation speed, it is widely used in the realization of classification and regression. However, the GBDT classification model occupies large storage resources; its application on the mobile multimedia platform is greatly limited. To solve this problem, we come up with a new GBDT compression algorithm for hardware implementation [1]. And based on this algorithm, we designed a DSP+FPGA system to achieve four classifications of six-dimensional samples. DSP is responsible for classification control, while the FPGA implements the classification calculation process. This classification system not only occupies small hardware resources but also guarantee accuracy and speed.
I would think there was a ...

I would think there was a lot to write about in a review of the 2010s in web development. Surely, a ton of stuff
Game design principles influencing stroke survivor engagement for VR-Based upper limb rehabilitation

Engagement with one's rehabilitation is crucial for stroke survivors. Serious games utilising desktop Virtual Reality could be used in rehabilitation to increase stroke survivors' engagement. This paper discusses the results of a user experience case study that was conducted with six stroke survivors to determine which game design principles are or would be important for engaging them with a desktop VR serious games designed for the upper limb rehabilitation. The results of our study showed the game design principles that warrant further investigation are awareness, feedback, interactivity, flow and challenge; and also important to a great extent are attention, involvement, motivation, effort, clear instructions, usability, interest, psychological absorption, purpose and a first-person view.
Роль соціальних мереж у позиціюванні бібліотек (досвід роботи наукової бібліотеки НЮУ ім. Ярослава Мудрого)

The authors examined the role of social web works as effective communication channels. It is proved that the positioning of the library in the socio-media space ensures the effectiveness of communication, placement, promotion of library projects, resources, strengthens the position of the library in the modern information and communication space, and provide a steady user’s interest in the library.