Reviewerly/exHarmony huggingface dataset:
Selected and Monitored Heavy Metals of Woji Creek, Rivers State, Nigeria

Coffee, which is grown in more than 60 tropical countries on more than 11 million ha of land, is the most important commodity in the world market next to oil.It accounts for a significant proportion of the foreign currency earnings of many developing countries and the economies of many countries in Africa and South America depend on the revenue from coffee production for their stability and development.However, coffee farmers receive less than 5% of the retail value of a cup of coffee (Waller et al., 2007) Despite its importance for a millions of people in the world, currently coffee production in the producing countries is constrained by several factors.Among the many factors that affect coffee growth and yield, temperature and rainfall conditions are the major ones.The average global surface temperatures for 2081-2100 as compared to 1986-2005 is forecasted to increase by 0.3°C to 1.7°, 1.1°C to 2.6°C, 1.4°C to 3.1°C, 2.6°C to 4.8° C under RCP 2.6, RCP 4.5, RCP 6.0 and RCP 8.5 scenarios , respectively (IPCC,2013).Climate change has many negative effects on coffee production.10-20% global crop yields are expected to decline by 2050 (IPCC, 2007).The effect will be much threatening for crops like coffee as it is the major source of income for many farmers in developing countries Besides, climate change may also impact indirectly on coffee through effects on insect pests and diseases.Coffee leaf rust has been attacking Arabica coffee throughout the growing countries and it is the main threat to coffee directly resulting from climate change.Even though farmers preferred to grow coffee in highland areas to eliminate the attacks of their coffee from rust, due to the suitable condition created for the fungus due to climate change, coffee leaf rust is becoming prevalent at higher altitudes (Koebler, 2013).In addition, the insect, known as, the coffee berry borer, Hypothenemus hampei or H. hampei, is becoming the biggest pest to coffee plants (Jaramillo et al., 2009).
Histogram of Oriented Gradient (HOG) for Off-Line Handwritten Signature Authentication

Security is needed as it could secure the routine activities particularly when it comes to document-related works.The signature authentication system is being used widely in this era of technology to authenticate an individual's identity.Yet, several problems such as the increasing number of forge signature still occur, which induced a need for an efficient signature authentication system.The human eyes could not differentiate between the genuine and forge signature, and the traditional method to authenticate a signature in financial institutions mainly is very time-consuming.Thus, an off-line handwritten signature authentication using a technique of Histogram of Oriented Gradient (HOG) is proposed.HOG is a gradient-based feature extraction method.Initially, the offline handwritten signature images will go through the pre-processing and image enhancement processes such as binarization, thinning, noise removal, and resizing.Next, the shape feature is extracted using the HOG which produced the feature vector values.Different images will have different feature vector values.These values are then be used to measure the similarity between the genuine and tested signatures using Euclidean distance.Three threshold values are used for the performance analysis of the HOG signature authentication which are 15, 20, and 30.From the analysis conducted, it is found out that 15 and 20 are the best threshold values for HOG which returned good performance of 87.5% for Overall Accuracy (OA).It is expected that the outcome of this study may assist the user in the off-line handwritten signature authentication in the future.
Class Attendance System Using The Multiple Face Recognition Technique (Case Study: UPN

Currently, Face Recognition Technology has been widely implemented in various fields of life. One of them is to verify someones identity. In this research, an application system has been developed related to the process of recording student attendance in a lecture class, where student attendance is obtained from faces data taken from image acquisition in a classroom. Automatically, face recognition results are inputed into the presence system. In this system, the lecturer can verify the results of the automatic attendance made by the system. This verification process is needed because the face recognition process carried out by the system cannot reach 100% accuracy. So, the student attendance record in class can be valid.
Recommendation of Distance Education Colleges to Students based on Alumni Feedback

Sentiment Analysis (SA) systems are very common because most people trust it based on the opinions, emotions, attitudes and feelings shared by the users for decision making purposes about the product, service, news analytics etc. Sentiment analysis or opinion mining is used to automatically detect and classify sentiments into positive, negative or neutral opinion on product or service through certain algorithms. The expeditious growth of internet leads to the increase of reviews about product, services, movies, restaurants or vacation destinations and organizations. In order to increase or decrease the market value of the product, spammers may give the fake ratings. Sentiment Analysis system face great difficulties in deploying the algorithms to classify each review as either honest review, posted by the customers after using the products, or spam review, posted by the individual spammer or spammer groups. Another major challenge faced by the sentiment analysis system is that it lacks the accuracy of predicting implicit and explicit features present in the dataset is low, which is the major challenge in opinion mining system. The proposed system deals with text pre-processing which helps in improving the overall performance of the sentiment analysis systems and an effective system is developed to identify the fake reviews present in the dataset. Association Rule Mining along with K-Means clustering is used to achieve higher efficiency in classification of implicit and explicit features. Lexicon method is used for the classification of sentiments into positive and negative polarities. The advantage of proposed system is that, it can identify and remove the fake reviews in the dataset and extraction of both implicit and explicit feature can be identified through Lexicon based Method along with its polarities.
Oracle

Oracle Corporation has been a software giant for decades. From its beginnings as an American database vendor to a multinational enterprise software behemoth, it is one of the most polarizing companies in this market. In this chapter, we look at its history and how it shaped the company and its cloud offering. Oracle is one of the few companies that publicly espoused an anti-cloud attitude, but historically drove key technical developments that we today associate with the cloud.
A Secure Cloud Storage using ECC-Based Homomorphic Encryption

This paper presents a new homomorphic public-key encryption scheme based on the elliptic curve cryptography (HPKE-ECC). This HPKE-ECC scheme allows public computation on encrypted data stored on a cloud in such a manner that the output of this computation gives a valid encryption of some operations (addition/multiplication) on original data. The cloud system (server) has only access to the encrypted files of an authenticated end-user stored in it and can only do computation on these stored files according to the request of an end-user (client). The implementation of proposed HPKE-ECC protocol uses the properties of elliptic curve operations as well as bilinear pairing property on groups and the implementation is done by Weil and Tate pairing. The security of proposed encryption technique depends on the hardness of ECDLP and BDHP.
Culture as a space of anthropological generation

The paper deals with how society created its educational ideals, which are reflected in educational archetypes — generotypes that carry the actual energy of transformation and meaning generation. This is a variant of the project of generative typology of culture, replacing the descriptive-factual approach, which is rejected by students due to its cumbersome monotony.
Cheiron Book Prize

Journal of the History of the Behavioral SciencesVolume 55, Issue 1 p. 89-89 EDITORIAL Cheiron Book Prize First published: 18 January 2019 https://doi.org/10.1002/jhbs.21956Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume55, Issue1WINTER 2019Pages 89-89 RelatedInformation
Sistem Pakar Deteksi Apendisicitis

Appendicicitis is found throughout the world and can affect everyone, both men and women. If inflammation of appendicitis cannot be recognized or treated, appendicitis can rupture, make an inflamed sac outside the intestine and cause pus. As a result, objects from the appendix enter the abdominal cavity, causing serious inflammation. To find out appendicitis they must visit a doctor. With this condition a system is designed that is able to provide solutions to patients or users who experience these conditions. It is built an expert system involving doctors who are experts in their field as experts and adapt information through experts and applied to a system. using the backward chaining method in reading the data when the user or patient is consulting. It is based on a website and can be used on various smartphones, the results of this system can also be used in hardcopy
Anisotropic Sophisticated Spatio-Temporal Contours Based Deep Neural Learned Moving Objects Detection in Video

Object detection in the video sequence is a significant problem to be resolved in image processing because it used different applications in video compression, video surveillance, robot technology, etc. Few research works have been designed in conventional works to discover moving objects using various machine learning techniques. However, dynamic changing background, object size variations and degradation of video frames during the object detection process remained an open issue. In order to overcome such limitations, Anisotropic Sophisticated Spatiotemporal Contours based Deep Neural Network Learning (ASSC-DNNL) practice is projected. ASSC-DNL Technique initially obtains a number of video file as input at the input layer. After acquiring the video, input layer forward it to hidden layers. Subsequently, ASSC-DNL Technique accomplishes the encoding process in the first hidden layer using Anisotropic Stacked Autoencoder (ASA). During the encoding process, ASSC-DNL practice maps each video frames pixels in input video via code. This practice results in compressed video with enhanced quality. Afterward, ASSC-DNL practice transforms compressed video into a numeral of frames in the second concealed layer. Followed by, ASSC-DNL practice carried out Teknomo–Fernandez Spatiotemporal Based Background Subtraction (TS-BS) process at the third hidden layer, in which it effectively segments the foreground images from dynamic changing background. Then, ASSC-DNL practice deep analyzes the foreground image of video frames and mines some features like shape, color, texture, intensity, and size. Finally, ASSC-DNL Technique exactly finds the moving objects in video frames according to identified features with minimal time at the output layer. Therefore, ASSC-DNL Technique obtains enhanced moving objects detection performance when compared to existing works. The simulation of ASSC-DNL practice is conducted via different metrics such as accuracy, time and false positive rate towards in detection.
Reports of Conferences, Institutes, and Seminars

This column includes reports on sessions from the ER&L 2020 Conference and American Library Association Annual 2020 Conference. The reports cover ways in which technical services may transform due to our current pandemic circumstances. Another report explains how InstantILL simplifies content delivery.
Improvisation of SDLC Model Using Machine Learning Technique (CBR) For Development of Software

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Towards User Authentication Requirements for Mobile Computing

The emergence and ubiquity of mobile computing has placed powerful capabilities in one's hand providing a wide range of applications such as email, calendar, photos, browsers, social network, communication, shopping, health and fitness, games etc., which were once restricted to traditional platforms. Such applications on a single mobile device raise critical security issues related to managing identity, re-authenticating users that stay active for long periods of time, protecting sensitive PII and PHI against access and misuse, insuring secure transactions, and protecting the physical device. This chapter explores user authentication requirements for mobile computing by: evaluating alternative user authentication requirements in order to make recommendations on their usage in authentication; identifying authentication methods used in mobile healthcare applications; and proposing a set of requirements for user authentication to handle the situation when a user seeks to be securely authenticated across a set of applications that are placed into context within a framework.
Education And Leadership Training Program In Industrial Revolution Era 4.0 To Improve Employee Creativity Ministry Of Health Of The Republic Of Indonesia

The Republic of Indonesia Ministry of Health (KEMENKES RI) is a government institution that serves to oversee and provide solutions to the health problems of all Indonesians. KEMENKES RI leadership training is also one of the steps taken as an internal effort of KEMENKES in the quality of human resources. The development of existing technology can be used as a supporting device in achieving the desired results. Revolution 4.0 is the basis used in decision making so that more knowledge is needed in the form of increasing competence based on information technology. The purpose of this study was to determine the effect of education and leadership training in the era of industrial revolution 4.0 on employee creativity. The research conducted at the Ministry of Health of the Republic of Indonesia uses a case study method. To be the sample, 168 employees of the Ministry of Health of the Republic of Indonesia were chosen through simple random sampling from 289 populations. This study found that there is a positive direct effect of education and leadership training in the era of industrial revolution 4.0 on employee creativity. This study concludes that employee creativity is positively influenced by education and leadership training. Therefore, to maintain employee creativity, organizations must implement leadership education and training. Finally, it was concluded that leadership education and training must be considered in producing better employee creativity.
Job Satisfaction, Management Sentiment, and Financial Performance: Text Analysis with Job Reviews from Indeed.com

Employee job reviews contain information on many firm characteristics that are unobservable to the public. Job review sites such as Glassdoor and Indeed are used by job hunters and current employees to inform each other of prevailing workplace culture. I collect over 1.2 million job reviews from Indeed.com, matched to firm level data was procured from Compustat. I use machine learning and natural language processing methods to obtain qualitative data about firms across the dimensions of job satisfaction and management sentiment. In the cross-section, I find that a 1% increase in ratings increases market value by approximately 0.68-0.73%, revenue by 0.62-1.01%. However, increases in management sentiment may have a non-monotonic effect on financial performance. These non-monotonic relationships are also present in first difference results, which show that there may be trade-offs involved in improving financial results and workplace culture.
Psychological Assistant Bot Using Artificial Intelligence to Improve Individuals' Mental Health

The ignorance of mental health has caused many lives. But there is no awareness among the peoplebecause most of the people of our country do not treat mental health issues as equally they treat the physicalissues and disagree to consult with any psychologist or spend money for psychological issues. The proposedidea is to create a psychological assistant bot using Artificial Intelligence based on supervised learning methodthat can diagnose the disease and provide basic instructions before consulting a doctor. To reduce thehealthcare costs and improve accessibility to psychological knowledge the Psychological Assistant Bot (PAB)is built. I have tried to build a prototype of a system that will take text input and give an output afterprocessing. Chabot is computer programs that mimic human conversation to interact with users through avariety of messaging channels. Chabot have also been employed for research and clinical support in everysector - domain. In the field of psychology, chatbots have been applied to informative research where surveyor interview data collection are substituted with chatbots that can interact with the subjects in web messagingapps in a psychological setting. This paper examines the design and development of a Chabot for a psychologyresearch study. The stakeholders, functionality, perspectives and technical challenges are presented anddiscussed. I apply a quality of experience framework to explore the factors that impact stakeholders andinfluence design priories.
Canada, Libraries and the Digital Economy

What I will talk about • Digital economy strategies • Canada’s digital economy – wired broadband networks – mobile phones and broadband – extending network availability, increasing quality • Libraries as enablers of the digital economy
ENHANCING STUDENTS’ MOTIVATION AND READING ACHIEVEMENT TROUGH HYPNOTEACHING METHOD IN CLASS XI STUDENTS

This research aims to find out (1) the influence of using the Hypnoteaching method in improving students’ motivation, (2) the influence of using the Hypnoteaching method towards students’ reading achievement and (3) the influence of using the Hypnoteaching method in enhancing students’ motivation and reading achievement. This is quasi-experimental research with the pre-test and post-test control group design. This research was conducted at class XI students in Madrasah Aliyah Negeri Unggul Tenggarong in the period of 2015/2016. The data were collected using tests and non-test. The data were analyzed by using the Multivariate Analyses of Variance (MANOVA) at the significance level of 95 % (p=0.05). The results of this research are as follows. (1) There is an influence of students’ learning motivation after teaching by using the Hypnoteaching method. There is a significant difference in students’ reading achievement after teaching by using the Hypnoteaching method. The Hypnoteaching method affects students’ achievement in reading and student’s learning motivation after getting treatment, the data of Wilks’Lambda have a significance (F-value = 6.963) and sig = 0.02&lt; 0.
WRITING SKILLS IN SMP USWATUN HASANAH, BURU DISTRICT

Abstract Reading is a process carried out and used by the reader to obtain a message, which the writer wants to convey through the media of written language. A process that demands that groups of words which are a unity be seen at a glance, and so that the meaning of individual words will be known. If this is not fulfilled, then the explicit and implicit message will not be captured or understood, and the reading process will not be carried out properly. A process that demands that groups of words that represent a group will be seen in a glance, and so that the meaning of individual words will be known. This study aims to describe the language skills of Uswatun Hasanah Middle School students in Buru Regency. The research location is in the Islamic boarding school of Uswatun hasanah Namlea. data and data sources namely students of class VII Uswatun hasanah. the method in this study is PTK or classroom action research. The results of the study showed that the language skills of the seventh grade junior high students were very prominent as evidenced by the assignment of language assignments, namely. Keywords: Reading, Uswatun hasanah, students, Buru
Choice of Criterion: Developing a Classification of Philosophies

The study aims to facilitate formation of a scientific classification of philosophies. The article criticises classifications of philosophies with reference to such characteristics as self-expression and self-knowledge. The author demonstrates that both of these characteristics are rather superficial. Scientific novelty of the research lies in the fact that a new idea is used as a tool: to consider an empirically ascertainable fact of certain properties absolutisation resulting from interaction between a man and the world present (absent) in creative work of a particular philosopher as a reference criterion of the sought classification. As a result of the study, first, effective criticism of classifications of philosophies referring to characteristics of self-expression and self-knowledge as being superficial is given. Second, the following principles of a new classification are formulated. Types of philosophising and their subject areas are fundamentally separated, each of the two main identified types - high evaluative (absolutist) type and rationally critical (scientific) type - is of equal worth and intrinsically heterogeneous.
A Framework to Analyze Data on Homelessness, Poverty and Migration Using Fuzzy Cognitive Modeling

This article develops a framework for studying homelessness, poverty and migration using Fuzzy Cognitive Modeling. The framework has been developed using data obtained from a survey of around 4000 respondents in five communities in northeastern Ontario, Canada. The intention was to develop a framework that could be applied in other communities where comparable sources of data are available. This framework can be used to perform sensitivity analysis as well as to develop index of poverty as discussed in this paper. The results suggest that this method provides a robust approach to analyze complex and multivariate datasets related to homelessness, poverty and migration with variables that not only have interdependencies but are also not crisp.