Reviewerly/exHarmony huggingface dataset:
Deep Learning for Early Detection of Breast Cancer using Histopathological Images

Breast Cancer is one of the uncontrollable growth of malignant cells in the chest. The most common treatments used are chemotherapy or hormonal therapy using mammographic images, but the problem with mammographic images is complex and low contrast noisy. Deep Learning can extract high level abstract features from images automatically. Therefore, we have used histopathological images of breast cancer via supervised and unsupervised deep convolutional neural networks. The Pre-Processing process is followed by Image Segmentation where we have implemented Watershed Algorithm. The System has been developed using python Programming Language. In this paper, we have used convolutional neural network(CNN) forClassification purpose which is one of the Deep learning techniques.
Learn More from Context: Joint Modeling of Local and Global Attention for Aspect Sentiment Classification

Aspect sentiment classification identifies the sentiment polarity of the target that appears in a sentence. The key point of aspect sentiment classification is to capture valuable information from sentence. Existing methods have acknowledged the importance of the relationship between the target and the sentence. However, these approaches only focus on the local information of the target, such as the positional relationship and the semantic similarity between the words in a sentence and the target. Moreover, the global information of the interaction of words in sentence and their influence on the final prediction of sentiment polarity are ignored in related works. To tackle this issue, the present paper proposes Joint Modeling of Local and Global Attention (LGAJM), with the following two aspects: (1) the study develops a position-based attention network concentrating on the local information of semantic similarity and position information of the target. (2) In order to fetch global information, such as context information and interaction between words in sentences, the self-attention network is introduced. Besides, a BiGRU-based gating mechanism is proposed to weight the outputs of these two attention networks. The model is evaluated on two datasets: laptop and restaurant from SemEval 2014. Experimental results demonstrate the high effectiveness of the proposed method in aspect sentiment classification.
Analyzation of Drinking Water in Selected Villages of Raigad District

Many can live without love but no one without water. The Analyzation of Drinking Water Quality implies checking of water Physical, Chemical, and Biological parameters and comparison with Indian drinking water standards. Selection of villages for the checking of water parameter was done based on different surveys collecting information about the water supply to various villages. Then collection of water sample from different location of Raigad district was carried out. Drinking water quality was investigated in eight villages of Raigad district. A number of parameters such as pH, Turbidity, Total Dissolved Solids (TDS), Dissolved Oxygen (DO), Total Hardness, Chloride Content, Fluoride Content, Total Alkalinity and Free/ResidualChlorine were analyzed for each water sample that were collected and compared with Indian permissible limits of drinking water.
Human Action Recognition using the Radial Basis Function-Support Vector Machine (RBF-SVM) Classifier

This paper proposes a novel neighborhood descriptor surveyed from the Finite Element Analysis for human development acknowledgment. This near to descriptor addresses the extraordinary human stances resembling the solidness matrix. This strength framework offers the real factors of movement as agreeably as structure exchange of the human physical make-up while playing out an action. From the outset, the human constitution is addressed in the diagram structure. Most uncommon components of the diagram are then picked. This blueprint is discretized into different restricted little triangle faces (segments) the detect the perceived factors of the cutoff points are the vertices of the triangles. The strength system of every triangle is then decided. The trademark vector addressing the development video body is worked with the guide of joining all strength systems of each and every functional triangle. These trademark vectors are given to the Radial Basis Function-Support Vector Machine (RBF-SVM) classifier. The proposed technique shows its transcendence over different present current procedures on the problematic datasets Weizmann, KTH, Ballet, and IXMAS.
Ontology-Based and Architecture-Based Method for the Development of Interoperable Care Systems for Type 2 Diabetes Mellitus.

Processes like the care of type 2 diabetes mellitus patients require support by information systems considering the heterogeneity of the actors from different domains involved, enabling harmonization and integration of their specific methodologies and knowledge representation approaches towards interdisciplinary cooperation. Currently, the development of systems starts from the simplified information world, ignoring the aforementioned heterogeneity and specificity of real-world processes. This paper aims to demonstrate the feasibility of developing an adaptive, interoperable and intelligent system that supports the major aspects of type 2 diabetes mellitus care based on the Generic Component Model as formal methodology for modelling universal systems. The result is a deployable solution based on a formal representation of the diabetes care system, its objectives, and the intended business process. The implemented system enables reasoning over the data, inferring medical diagnosis. The effectiveness of the inference was evaluated, obtaining an F-measure of 0.89. The methods presented in this paper helps to build high quality models based on computation-independent aspects, which enable the construction of knowledge-based adaptive, intelligent and interoperable eHealth systems.
Factors Influencing Learner Satisfaction on the Quality of Training of Economics and Finance Thai Nguyen College, Thai Nguyen Province, Vietnam

IntroductionThai Nguyen college of Economics and Finance was established on December 20, 1978.Since establishment, the college has been constantly evolving.However, recently, enrollment issue of the school faced many difficulties, the number of input students continuously decreased.It is easy to see that according to the market mechanism, the quality of education and training must be in accordance with market requirements, the training establishment becomes the unit providing training services and the customer is the learner.In order to have learners, the training institution must meet the requirements of customers, evaluated through satisfaction of customer.Thus, this research is needed to carry out, then authors proposed some solutions to enhance the quality of training services to improve the satisfaction of learners at vocational colleges in general, at Economics and Finance Thai Nguyen College, Thai Nguyen province, Vietnam in particular. Methodology Research ModelIn models of customer satisfaction measurement for service quality, SERVPERF model is the most complete and appropriate measurement of learners' satisfaction with the quality of training services if considered Training department as a training service and the learner is the customer using that service.
Scheduler Team Meeting Application Based on Mobile by Using Push Notification

Each team / individual in a company has its own internal and external meetings. At present PT NTX Solusi Teknologi does not have a system that can schedule meetings and track its employees who carry out meetings, it affects the time management for each individual or team that collaborates with each other. The purpose of making this application is for scheduling, notification of meetings, monitoring the team that is conducting the meeting, and also for data collection by the company admin. Because employees use a variety of devices, applications are created using Web Responsive that can adjust the appearance of employee devices and have the same functionality for all devices. The method used in making this application is the Prototype method for gathering needs, designing and evaluating programs. The problem analysis method uses Fishbone analysis to obtain specific problems. The program will be tested with the Black Box method to ensure the system runs well. With this conclusion the scheduler application can be used to make the schedule, tracking members who carry out external meetings, used by various devices and has a responsive display. And based on testing Black Box the application can run well.&#x0D;
Kemampuan Mahasiswa Program Studi Pendidikan Bahasa dan Sastra Indonesia FKIP UIR dalam Menentukan Jenis Kalimat

This research was related to the ability of students of Indonesia language and literature education in determining the type of sentence. It was conducted because obstacles were still found such as students could not distinguish simple items related to the type of sentence, especially in terms of the number of clauses and syntactic forms. The problems in this research were; (1) how was the ability of students of Indonesia language and literature education study program at FKIP UIR in determining the type of sentence based on the number of clauses?; (2) how was the ability of students of Indonesia language and literature education study program at FKIP UIR in determining the type of sentence based on the syntactic form?. Thus, this research aimed to find, analyze, describe, and conclude the ability of students of Indonesia language and literature education study program at FKIP UIR in determining sentence types based on the number of classes and their syntactical forms. The population in this research was all fourth semester that consist of 149 students and the sample was 15%, namely 22 students. Data collection techniques included observation and questionnaire. The theory used refers to the opinion expressed by Alwi, et al (2003) and other expert opinions. Based on the analysis conducted it can be concluded that; (1) The ability of students of Indonesia language and literature education study program at FKIP UIR in determining the type of sentence on the number of clauses based on the students’ average test score was 81.36 which was categorized “excellent”; and (2) The ability of students of Indonesia language and literature education study program at FKIP UIR in determining the type of sentence on the syntactic form based on students’ average test score was 79.31 which was categorized “good”.
Pengaruh Minat Belajar dan Kesantunan Berbahasa terhadap Prestasi Penulisan Teks Diskusi Siswa Kelas VIII SMPN 21 Tangerang Selatan

Learning interest is an intellectual system that is very important in learning activities. However, in learning the Indonesian language at the SMP/MTs level, the tendency of students’ learning interest is still weak. One of the learning materials in the curriculum 2013 is discussion text which is the focus of this study. In writing discussion text, one of the obstacles often faced by students was the lack of knowledge about the language politeness in expressing ideas or something disapproval. Related to this problem, this study aimed to explain the effect of learning interest and language politeness towards the writing achievement of discussion text of eight grade students at SMPN 21 South Tangerang. This research method was a survey method with multiple correlation regression analysis. The population of eight grade students of SMPN 21 South Tangerang was 30 students. Then, the data collection was done by distributing questionnaires directly to the sample which were 30 students. To analyze the data, descriptive statistics was used. The results showed; (1) there was an interactive effect between learning interest and language politeness towards the writing achievement of discussion text. It was evidenced by the significant value which was 0.000&lt;0.005 and Fcalculated =34,499. Besides, the learning Interest and language politeness collectively contributed 71.9% towards students’ writing achievement of discussion text; (2) there was an effect of language politeness towards students’ writing achievement of discussion text that was more significant than the effect of learning interest. It can be proven from the value of tcalculated =8,249 for language politeness which was greater than the value of tcalculated =1.762 for learning interest.
Enhanced Multi-Objective based Resource Allocation using Framework Creation in Cloud Computing

On-demand applications are to be distributed seamlessly in a cloud computing environment, depending on the user's needs. Service distribution is an interesting facet of cloud technology study. This is a mechanism that helps users to benefit from cloud providers as a metered utility in the cloud. The cloud administrator is responsible for efficiently allocating available resources to the execution tasks, thus improving the performance of the system while reducing energy consumption and providing reliable resources most of the existing research work only take one aspect and neglects their interconnections. Thus, a dynamic approach is built to solve this limitation by leveraging all the QoS output to make reasonable use of the capital. The technique utilized is an algorithm for load balancing, depending on the actions of bees. For this, we provide real-time eucalyptus cloud-based performance with network design and related operations being conducted and evaluated. Innovative tests show the effectiveness of the algorithm in terms of computational time, reaction time, makespan, load variability, and level of imbalances.
Privacy-Preserving Data Aggregation Framework for Mobile Service Based Multiuser Collaboration

Considering the untrusted server, differential privacy and local differential privacy has been used for privacy-preserving in data aggregation. Through our analysis, differential privacy and local differential privacy cannot achieve Nash equilibrium between privacy and utility for mobile service based multiuser collaboration, which is multiuser negotiating a desired privacy budget in a collaborative manner for privacy-preserving. To this end, we proposed a Privacy-Preserving Data Aggregation Framework (PPDAF) that reached Nash equilibrium between privacy and utility. Firstly, we presented an adaptive Gaussian mechanism satisfying Nash equilibrium between privacy and utility by multiplying expected utility factor with conditional filtering noise under expected privacy budget. Secondly, we constructed PPDAF using adaptive Gaussian mechanism based on negotiating privacy budget with heuristic obfuscation. Finally, our theoretical analysis and experimental evaluation showed that the PPDAF could achieve Nash equilibrium between privacy and utility. Furthermore, this framework can be extended to engineering instances in a data aggregation setting
Funding Challenges of Small and Medium Enterprises in Transition Countries: Kosovo Case Study

SMEs play a very important role in the development of economies of different countries and they are now considered as a key factor of economic development. They affect unemployment, promote social welfare and can be treated as a promoter of economic growth. The paper addresses the role and importance of financing SMEs in transition countries including Kosovo. The study examines the key factors affecting the increase of SME financing from external sources, namely bank lending since other external sources of financing in Kosovo are scarce and almost non-existent. For the purposes of this paper, data from 215 SMEs surveyed in Kosovo were used, randomly distributed across manufacturing, services and commerce sectors. Data collection was done in the period January-April 2016, and their processing was carried out with SPSS (Social Package for Social Science). In order to have more consistent information during data processing, certain models were used in the paper: Paried-Samples T Test, which was used to investigate the difference between two sets of averages, which indicates that the business plan for the enterprise is relevant to bank loan access. The One Way Anova model was used to test the differences between two or more averages, and through this model is proved that high-profit enterprises have achieved easier access to bank loans. Also following the One Way Anova and Post Hoc LSD test, there were found differences between groups of enterprise by their types, activity and age. The research shows that enterprises with older ages have been able to obtain more easily bank loans. The One Way Anova and Welch-Brown-Forthyse test was used to deal with the level of education of business owners, whereby it was found that owners with a high level of education had easier access to bank loans. Through the Indepedent Samples T Test technique it was found that there is a significant difference between the age groups of the owners based on the mean and standard deviation.
Implementation of Playfair Cipher and Least Significant Bit Algorithms in Digital Imagery

Message security is very important now. Because security is part of the privacy of someone who wants to protect messages from those who do not have the right to read or receive them. The method used for securing information messages with message encryption and decryption techniques is the Playfair Cipher algorithm combined with the Least Significant Bit (LSB) method. In this study it was found that the Playfair Cipher algorithm is quite safe in implementing cryptographic encryption or ciphertext because the playfair cipher has a level of appearance of letters that is so difficult to predict so that the ciphertext becomes a randomized collection of data. For the Least Significant Bit (LSB) steganography method in the insertion of a secret or embedded message it is difficult to guess in plain view the changes that occur between before and after the image is inserted are not too significant. Also see the value of the Peak-Signal-to-Noise ratio or PSNR can still be considered good quality due to&gt; 30 decibels (dB). So the final result of the combination of the Playfair Cipher algorithm with the Least Significant Bit (LSB) method is quite good in securing messages.
Figurative Meanings Found in Coldplay’s Song Lyric

A media as written communication is used to communicate the meaning.The meaning that nonliterary which is called as figurative language in the media can be seen in newspaper, novel, poetry and certainly in lyric.Therefore, this research aims to find the types of figurative meanings and the functions of the meaning.The theories applied are taken from Larson as a main theory, and supported by theories proposed by Perrine and Leech.Another supporting sources that are relevant to this topic, are taken from the internet.The data of this paper are taken from the song lyrics of the band Coldplay.The collected data is analyzed based on the theoretical concepts and the data is analyzed using the descriptive method.Then, the data is presented in a narrative-descriptive way by providing information in non-formal technique.Based on the results of the analysis, it is found that there are eight types of figurative meanings that are used in fourteen songs from Coldplay.The figurative meanings that are used are Metonymy, Synecdoche, Personification, Hyperbole, Simile, Metaphor, Allegory, and Symbol.The functions also carried by each figurative.In conclusion, types of figurative language of Hyperbole, Personification, Metaphor, and Symbols are the dominant types that appeared most with each number 5, following by Simile as the second most with the number 4, following by Synecdoche and Allegory and Metonymy with each number 3.
Aesthetic Education as a Topical Direction of Preparation of a Modern Specialist

This article explores the problem of aesthetic education and focuses on issues related to its implementation in the educational process of a modern educational institution. The content and features of modern aesthetic education in the system of professional training of future specialists are covered. The study was conducted during the 2018/2019 academic year. The experimental group consisted of 105 students aged between 17-19 years, while the control group consisted of 155 students of the same ages. As part of this summative assessment, a survey was conducted with the help of a questionnaire, which involved a total of 260 students from both universities, who answered the questions specifying the main shortcomings of modern educational activities. It is known that one of the conditions that interferes with aesthetic development of future specialists is the lack of free time, due to the fact that most students work in their free time after classes and the lack of motivation to participate in classroom discussions. In the process of conducting summative assessment with the help of psychological methods, the main attention was focused on communicative and organizational abilities, empathy, creativity and reflection. It is noted that among the priorities of educational activities at the faculty, it is important to create appropriate aesthetic conditions for the active development of students. Based on the survey, it was found that the main methods in aesthetic education are training, creative meetings with experts, artists and writers; practicals (method of assignments, setting of practical tasks - involvement in creative activity); preparation of excursions to museums, theatres, cinemas and the creation of thematic exhibitions. It is determined that studying at the university is not only preparation for future professional activities, but also the formation of character, inculcation of aesthetic and moral values, sustenance of culture and the development of creative thinking. The use of relevant international experience in the processes of creative preparation of young people plays an important role in ensuring the effectiveness of training and aesthetic education of students. https://doi.org/10.26803/ijlter.19.5.14
The Quality of Senior High School National School Examination Questions

The objective of this study was to obtain information about the quality of high school National Standard School Exam (USBN) questions in Pontianak in 2018/2019 academic year. To achieve this objective, the information excavated includes (a) the process of compiling questions (b) the test of the feasibility of the questions (c) the eligibility requirements of the questions (d) administering the exam (e) the examination system of the examination scripts (f) the reporting system, and (g) the correlation of values report cards and high school USBN grades in Pontianak with UN scores. This study employed a descriptive method. The selection of high school samples used as data sources was done by random sampling and purposive sampling. Data were gathered through documentation, interviews, and questionnaires. The data were then analyzed with descriptive statistics and correlational studies. The results showed that, in the high school USBN questions in Pontianak City, (1) there were still stages in the process of drafting "not done", (2) empirical tests before the compilation of the final questions "had not been done," (3) administering the "already" applied exams as UN procedures, (4) manuscript examination system is implemented manually, (5) reporting of exam results by respective subject teachers, and (6) correlation of report card grades and high school USBN scores in Pontianak with "mostly" low "UN scores "and even in certain" negative "schools. It means that report cards and USBN scores cannot be used to predict UN results.