Reviewerly/exHarmony huggingface dataset:
Neutron Activation Analysis as a tool to Determine Concentration of Selected Metals in Table Salt Mined from Benya Lagoon, Ghana

Table salt is essential for life and if it contains metal impurities, it can affect the people that consume it.The Komenda Edina Eguafo Abrem municipality makes salt by evaporating brine from the Benya Lagoon.Benya lagoon is a lagoon known to be polluted due to various anthropogenic activities within its environs.The concentration of eight metals, Arsenic (As), Cadmium (Cd), Manganese (Mn) Lead (Pb), Aluminium (Al), Copper (Cu), Magnesium (Mg), and Vanadium (V) have been determined in salt mined using water from the Benya lagoon.Salt samples were selected from five fixed-sampling stations and the concentrations of the metals determined using Neutron Activation Analysis.The ranges of the measured concentrations in the salts are as follows: 161.04-632.63 mg/kg for Al, 0.001-0.004mg/kg for As, 1.50-2.70mg/kg for Mg, 49.14-3883.00mg/kg for Mg, 17.24-110.96mg/kg for Mn, and 2.85-7.10mg/kg for V.An assessment according to the metal concentration marked Mg as the most abundant, whiles Cd and Pb the least being 0.001 mg/kg at all the five stations.Principal Component Analysis also established Mg to be the most abundant metal, and used to identify two major clusters; Group 1 (stations 4 and 5) and Group 2 (stations 1, 2 and 3).Group 2 recorded higher intensities of Mg.Using Pearson's correlation coefficient, significant correlations were drawn between Al and Mg (r = -0.862),Mg and Mn (r = 0.863) and Mn and V (r = 0.735), indicating the same or similar source inputs for each pair.Comparison with Codex Standard for Food Grade Salt showed that concentration values recorded for Al, Mg and Mn were above recommended limits.The contamination factor (CF) and degree of contamination (CD) confirmed this level of contamination for Al, Mg and Mn for all the five Stations, with Station 2 recording the highest Degree of Contamination. the least and corroborated salt from station 2 as most contaminated considering the combined toxicity at each station.Using an average daily salt intake of 6,000 mg, the mean daily intake of the elements when one consumes salt mined from the Benya lagoon was found to be above each element's Upper Tolerable Limit of its Recommended Dietary Allowable for the various Life Stage Groups.The associated Hazard Index suggests the probability of adverse effects when consumed.High standard deviation values for Al and Mn indicated the non-uniform spatial distribution of the individual metal contaminates at the various stations.
Synthetic Minority Oversampling Technique pada Averaged One Dependence Estimators untuk Klasifikasi Credit Scoring

Bank or financial institution is a business entity whose activities are collecting funds from the public in the form of deposits and channeling them to the public in the form of credit and or other forms. In credit financing problems often occur and one of the problems faced in credit assessment is imbalance class data sets or dataset class imbalances. This problem can be overcome by resampling method, namely by using Oversampling, undersampling and hybrids that combine the two sampling approaches. This research proposes the method of applying SMOTE or Synthetic Minority Oversampling Technique on Averaged One Dependence estimators (AODE) to improve the performance of the accuracy of the credit rating classification on German Credit Creditetsets. The results of this experimental study on the GermanCredit dataset with the classification method without the Resampling process on 13 classifiers produce an average performance value of 70%. The results of the classification with classification techniques that apply the SMOTE method on the AODE algorithm can increase the accuracy performance by 5.5% with an accuracy value of 0.817 or 81.69%. While the classification technique that applies the SpreadSubSample + AODE method decreased by 0.041 or 4.1% but still higher than the accuracy value of other methods with an accuracy value of 0.723 or 72.33%. The researcher concludes that by applying the Resampling technique with the SMOTE method on the AODE algorithm can increase the value of accuracy performance effectively on the imbalance class used for credit scoring or credit rating on GermanCredit datasets.&#x0D;
Wagons roll out important messages across Pendle

News story on Pendle Council's new fleet of vehicles which have giant graphic messages on them.
Preparing future educators for project activities using digital technologies

The educational disciplines that form the future ICT educators general competence are created, create the necessary conditions for full learning of the course material, promote the development of skills in designing pedagogical activities, the development of creative abilities, the ability to use digital technologies in the professions.
A Plug-in Method for Representation Factorization

In this work, we focus on decomposing the latent representations in GANs or learned feature representations in deep auto-encoders into semantically controllable factors in a semi-supervised manner, without modifying the original trained models. Specifically, we propose a Factors Decomposer-Entangler Network (FDEN) that learns to decompose a latent representation into mutually independent factors. Given a latent representation, the proposed framework draws a set of interpretable factors, each aligned to independent factors of variations by maximizing their total correlation in an information-theoretic means. As a plug-in method, we have applied our proposed FDEN to the existing networks of Adversarially Learned Inference and Pioneer Network and conducted computer vision tasks of image-to-image translation in semantic ways, e.g., changing styles while keeping an identify of a subject, and object classification in a few-shot learning scheme. We have also validated the effectiveness of our method with various ablation studies in qualitative, quantitative, and statistical examination.
Pemanfaatan Penginderaan Jauh dan Sistem Informasi Geografis untuk Analisis Hubungan Kejadian Penyakit Tuberkulosis Paru terhadap Kondisi Rumah di Kecamatan Sewon Kabupaten Bantul

Tuberculosis (TB) is an infectious disease caused by the Mycobacterium Tuberculosis. Pulmonary TB can be resistant if intensive treatment is not carried out. TB bacteria can breed in humid conditions. Remote sensing can be used in a number of fields, including the health sector, for mapping infectious diseases. One of the infectious disease is pulmonary tuberculosis. Sewon sub-district is one of the Bantul sub-districts which has high number of pulmonary TB sufferers. Thus, the research about the relationship of home conditions and pulmonary TB disease is needed. The objectives of this study are: (1) to examine the ability of Quickbird imagery to identifying home conditions in Sewon Subdistrict, (2) assessing the ability of Geographic Information Systems (GIS) to find out the distribution patterns of pulmonary TB patients in Sewon Subdistrict, (3) to know the relationship of home condition parameters with pulmonary TB disease in Sewon Subdistrict, and (4) to know the level of vulnerability of home conditions to pulmonary TB disease in Sewon Subdistrict. The method used to collecting data in this study is a case control study. Data processing methods in this study used cross tabulation (crosstab) using calculation of Spearman correlation. The analysis method used average nearest neighbor analysis to find out the distribution pattern and map analysis in the form of scoring and overlay. The results of this study are proven that the remote sensing image in the form of a Quickbird image is able to extract 2 parameters of the condition of the house in the form of settlement density and physical condition of the building with the results of accuracy of 90% and 99%. Geographical information system (GIS) is able to know the distribution pattern of pulmonary TB disease in Sewon Subdistrict with the results of a clustered pattern. Lighting parameters have a very strong relationship to pulmonary TB disease with a correlation value of 0.86. The village that has the most vulnerable home conditions for pulmonary TB disease in Sewon Subdistrict is Timbulharjo village with settlements which dominate the Very High vulnerability class.
Improved Impossible Differential Attack on 7-round Reduced ARIA-256

ARIA is an involutory SPN block cipher.Its block size is 128-bit and the master key sizes are 128/192/256-bit, respectively.Accordingly, they are called ARIA-128/192/256.As we all know, ARIA is a Korean Standard block cipher nowadays.This paper focuses on the security of ARIA against impossible differential attack.We firstly construct a new 4-round impossible differential of ARIA.Furthermore, based on this impossible differential, a new 7-round impossible differential attack on ARIA-256 is proposed in our paper.This attack needs 2 118 chosen plaintexts and 2 210 7-round encryptions.Comparing with the previous best result, we improve both the data complexity and time complexity.To our knowledge, it is the best impossible differential attack on ARIA-256 so far.
THE UNIVERSITY-BUSINESS INCUBATORS RELATIONSHIP AS A TEACHING INNOVATION FACTOR

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 10237-10240ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2504Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
EFL STUDENTS’ PERCEPTION TOWARD “PENGELOLAAN PENDIDIKAN” TEXTBOOK FOR ENGLISH STUDENTS AT FKIP JAMBI UNIVERSITY

ABSTRACTElpina, Maiza (2019). EFL Students’ Perception Toward Pengelolaan Pendidikan Textbook for English Students at FKIP Jambi University. Thesis, Faculty of Teacher Training and Education, Jambi University in Academic Year, 2019/2020. First advisor is Nely Arif, S.Pd., M.Pd and the second advisor is Dr. Masbirorotni, S.Pd., M.Sc.EdThe research disscusses the students‟ perception toward “Pengeolaan Pendidikan” textbook for English students at FKIP Jambi University. Learning “Pengelolaan Pendidikan” is very important for the student at Faculty of Teacher Training and Education, bacase they are a candidate of the teacher. In the classroom, the teacher apply some of teaching material, one of the teaching material which is used in the classroom is a Textbook. This research was conducted to find out the EFL students‟ perception toward “Pengelolaan Pendidikan” textbook. A perception is impotant because by knowing the student‟ perception, the perception can determine how the teaching and learning should be applied. If the students had good perception on the “Pengelolaan Pendidikan” textbook, it meant that a “Pengelolaan Pendidikan” textbook could be used as one of the teaching material in the classroom. The questionnaire results showed that most of the students had good perception on the textbook of “Pengelolaan Pendidikan”. They thought that the “Pengelolaan Pendidikan” textbook helped them to get the information of education in Indonesia. For the result of students‟ perception survey about Pengelolaan Pendidikan textbook based on the students answered is positive perception, most of them prefer this textbook, it means that “Pengelolaan Pendidikan” textbook recommended to be used in the classroom.Key words: Students’ perception, textbook, pengelolaan pendidikan.
Knowledge Acquisition – Sharing Based on Interim Manager Experiences

Intellectual capital is one of the most important organisational resources, so Knowledge Management (KM) belongs to the everyday activities in business life. An especially critical step of KM is knowledge acquisition and sharing, which is to make up for knowledge gaps in order to achieve a higher level of organisational performance. Organisational practice turns to solutions more and more, which acquire the necessary knowledge with the help of external sources. A possible solution is employing interim managers, who have gained extensive knowledge by solving the problems of different organisations. The interim manager, as a knowledge manager, brings the new knowledge into the organisation, develops, transfers, uses and preserve it. In our qualitative research, using the logic of an own model, we tried to identify the phases, in which the process of KM and the activity of the interim manager are connected. A structured in-depth interview was used to collect information that was evaluated using the NVivo program. The result shows that, in most cases, managerial and professional knowledge is also transferred, and the interim managers are valuable to enterprises for their tacit knowledge. Knowledge transfer and development are the result of collaboration, knowledge generation through shared thinking, and knowledge development through that individuals solve complex problems on their own. In every case, a prerequisite of successful knowledge transfer (and its integration into organisational memory) is the trust developed between the sponsor and the interim manager. The study introduces the reader to the details of the research.
Fixed-point predictive AMBTC image compression

In this paper, the AMBTC image compression method is proposed which employs three alternative weights to predict the initial center. AMBTC is a simple but efficient compression algorithm, whereas in terms of the image with salt and pepper noise, the visual quality is not satisfying provided that the mean value is used as the threshold in each 4×4 block. The possible reason accounting for this drawback is that image pixels are modified while the mean value can only best represent the original image data rather than noise data. On the contrary, the median value is more proper to represent noise data alone, which indicates that the mean value alone is unable to properly represent the whole image added with noise. That is to say, when the weighted sum of the mean value and the median value is taken as the initial center, the deviation of image added with salt and pepper noise will be reduced. What’s more, noises with various intensities are added to each image in the standard database, which intends to search for the optimal center in each block, and make a mapping between intensities and weights. It is feasible for us to directly use three weights and analyze the noise intensity to predict the initial center. PSNR of an AMBTC image is improved with 1 dB on average. In order to further improve the visual quality, we search for the optimal center in the confidence interval around the initial center so that PSNR can be improved by 3 dB. The experimental results reveal that the proposed fixed-point prediction compression algorithm enhances the image quality and reduces the computational cost to a large extent.
QUENCHING OF A STAINLESS-STEEL ROD WITH A HONEYCOMB POROUS PLATE IN ARTIFICIAL SEAWATER

The prime concern during a severe accident scenario in a nuclear power plant is to prevent leakage of radioactive material. In case of a fuel meltdown accident, as part of invessel retention (IVR) efforts, the reactor pressure vessel cavity is flooded with fresh water to decrease the temperature of the reactor pressure vessel wall, preserving its structural integrity. Improving IVR safety margin requires shortening of the quenching time and enhancement of the critical heat flux (CHF). This work investigates and compares the performance of artificial seawater and distilled water for quenching of a stainless-steel cylinder with a honeycomb porous plate (HPP) attached to the heated surface. Experiments, at atmospheric pressure and saturated condition, with both fluids on the bare surface (BS) and with an HPP with 10 mm in height attached were performed. On the BS, artificial seawater presented a quenching time 13-times shorter than that of distilled water due to a much shorter film boiling region, due to an unstable vapor film and localized solid-liquid contact. When the HPP was employed, the quenching times for both fluids were significantly reduced due to its capillary properties and the separation of liquid and vapor phases near the heated surface. With the HPP, the quenching time in distilled water was reduced by approximately 9-times (from 859 s to 99 s) and in artificial seawater it was decreased from 67 s to 20 s. The best performance observed in the latter case resulted from the absence of film boiling. After experiments in artificial seawater the presence of irregular distributed sea-salts deposits was observed on the cylinder surface. These deposits can improve the capillarity of the surface, what translated in a higher quenching performance for this fluid.
Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods

Kidney cancer is difficult to diagnose and it can be quite complicated for physicians to diagnose. In this study, while providing information about multiple sources to help people who are dealing with the challenges of the diagnosis of kidney cancer, in order to serve as a guide the principles of kidney cancer are tried to be explained. In recent years, many new methods of treatment have been developed for kidney cancer, and some are under development by scientists. These studies provide treatment information that offers new hope to the lives of kidney cancer patients. In this study, it is aimed to get acquainted with kidney cancer cells by using machine learning, and deep learning algorithms. In this way, an application can be developed to guide patients and physicians through early diagnosis and classification.
LibGuides: Business: APA referencing

LibGuide for Business How to reference ideas and information that you've found from other sources
Tics en el aprendizaje Las tecnologías de información y el aprendizaje del área de comunicación

The aim of the research was to determine the relationship between information technology and learning communication area fifth- grade. The investigation concluded that there is a relation between the (rho = 0.827; p 0.05) information technology and learning communication area fifth graders in high school, it is proven that learning is the process of knowledge acquisition , skills, values and attitudes, made possible through study and experience. We suggest broaden and deepen research since the variables considered are important for personal development and academic success of students.
Multi Wings Chaotic Encryption for Physical Layer Security in Optical PAM4-DMT System

We propose a novel 3-dimension multi wings chaotic encryption for physical layer security in optical PAM4-DMT system. Data and image encrypted transmission is demonstrated to verify the effective of the proposed scheme.
Hong-Ou-Mandel Interferometry on a biphoton beat note

We demonstrate a Hong-Ou-Mandel interferometer that uses well-separated and entangled frequency modes (discrete color entanglement) to improve the resolution of temporal delay measurements without the requirement for large-bandwidth photons.
Proposal of iris robot hand with swinging mechanism

In this paper, we propose an iris mechanism robot hand using a swinging mechanism. The swing-type hand is simpler than the sliding -type hand mechanism. It can be opened and closed with a single actuator. This is a mechanism to grab the object by moving the side of the cylinder and rotating the blade around the axis. We modeled the behavior of the blade and analyzed the gap and the amount of movement of the blade.
DECENTRALIZED IDENTITY AND CERTIFICATION SYSTEM

This article describes an approach to identification and certification in a decentralized environment. The protocol defines the way to integrate blockchain technology and web-of-trust concepts to create a decentralized public key infrastructure with easy user ID management. The essence of the scheme is to differentiate the entire infrastructure into 2 levels: the level of certification authorities (service providers) that jointly keep track of events related to user certificates; and the level of end users, systems and applications. During creating, updating, and revoking certificates, higher-level members reach a consensus on the confirmation of transactions associated with them, which ensures a higher level of validity of the certificates and synchronization of their status between certification centers. In turn, lower-level members do not need to perform complex verification procedures for a corresponding certificate: unlike the classic X.509 architecture and web-of-trust approach, the maximum number of checks in a chain can be two. An important feature of such a system is its ability to refuse certification centers: in the case of failure and / or compromise of the keys of one certification center, other network members continue to work seamlessly with others, and blockchain technology may make it impossible to add a certificate to a center whose keys have been compromised, because all the events in the system are connected by cryptographic methods. In particular, such a system can be used on the Internet of Things. Each individual sensor must communicate properly with other components of the system as a whole. In order to enable the secure interaction of these components, they must exchange encrypted messages to verify their integrity and authenticity, the provisioning scheme of which is in the described scheme.
Pixel Value Graphical Password Scheme: Compatibility of K-means Clustering Algorithm as Pixel Value Password Fault Tolerance Mechanism

In September 2018, the patent for pixel value graphical password scheme was granted in Malaysia.The graphical password scheme was designed to reduce the complexity of previously developed graphical password scheme where a user only requires to load their personal image as password instead of complex graphical challenge during authentication.As the guardian of digital access, Pixel Value Access Control was highly invincible from password pixel forgery attack where a little bit different pixel value derived from loaded image will deny the access.Only the original enrolled image from a registered user can be recognized by Pixel Value Access Control to authenticate the respective username.That fact makes the graphical password scheme is a trusted access control mechanism but, on the other hand, it makes users bound with the only original password pixel image file.Thus, Pixel Value Access Control need to be installed the pixel value fault tolerance mechanism where it could allow users to acquire their password pixel image file from various storage media.The clustering technique was suggested to solve this issue where it allows an altered pixel password being recognized as the same group of the original pixel password.There are number of clustering algorithms developed for various purposed and application of digital image clustering.K-Means algorithm is one the partition-based clustering algorithm that found to be the simplest and fastest clustering algorithm as suggested by many researchers.This paper is mainly to exhibit the selection of K-Means clustering algorithm became the crucial algorithm for Pixel Value Access Control password pixel fault tolerance algorithm.Background of this topic was briefly explained in introduction section, the implementation of K-Means algorithm as Pixel Value Access Control fault tolerance was elaborate in section 2 and followed by validation of the implementation in section 3.At the end of this paper, there is conclusion for this study and followed by list of references.