Reviewerly/exHarmony huggingface dataset:
A Running Pattern Recognition Algorithm for Publish/Subscribe Distributed Systems

Publish/subscribe distributed systems are often used in critical applications. It is necessary to monitor their running patterns in real time to detect abnormal status. Therefore, identifying the normal running pattern is the precondition of monitoring publish/subscribe distributed systems. Based on Apriori algorithm, this paper presents a weighted frequent itemset mining algorithm for running pattern recognition of publish/subscribe distributed systems. By introducing the transaction matrix, the algorithm only needs to scan the transaction database once. By weighting the items from two aspects of influence and frequency, the support of the items with few occurrences but much importance can be improved, so that the running pattern containing small frequency events can be mined out. Experimental results show that the algorithm can effectively mine the running patterns, and has better performance than Apriori algorithm and FP-growth algorithm.
KEMAMPUAN PROFESIONALISME GURU DALAM MENDUKUNG PENERBITAN SURAT KABAR SEKOLAH

The school newspaper is a mass communication medium published and managed by the school. The main manager is OSIS who are accompanied by Indonesian Language teachers and Information and Communication Technology teachers under the supervision of the school principal. The existence of a school newspaper is very important as a place to accommodate student work. This activity produces an online school newspaper that can be accessed anywhere and from anywhere. The purpose of this training is to provide facilities and infrastructure that can be used by schools to support student literacy activities.
Culture: The Socio-Political Base of Ethnic Consciousness and Conflicts in Nigeria

Nigeria suffers conflicts whose causes are pinned on ethnic consciousness and factors other than culture. As such, culture is considered as an epiphenomenon. But at the base of Nigerian conflicts is culture which shapes and stirs ethnic consciousness, and remains a divisive factor in human societies. Thus, Nigeria is socio-politically polarized along cultural lines and conflicting cultural contents despite the present world of traversing cultural boundaries. This paper analytically exposes culture as the socio-political base of ethnic consciousness and conflicts in Nigeria, and reveals the philosophical foundation of cultural character as well as axiological panacea to conflicts in Nigeria. The paper finds that in every socio-political setting, ethnic consciousness does not happen in a vacuum, and nobody speaks and acts from nowhere but from a cultural orientation; for culture is the matrix of human existence and nothing happens outside it. As such, ethnic consciousness and human socio-political exercises; behaviours, dispositions and actions are shaped, posited, viewed and interpreted from cultural spaces. But to bridle the negative impact of culture and enhance national unity, consciousness and patriotism of the citizenry, the study concludes that there is need for a national culture that is replete with indigenous values and overlapping similarities to form the content of curriculum in Nigerian education system.
Comparison Between the Classical Classification and Digital Classification for Selected Samples of Igneous and Carbonate Rocks

As igneous rocks have widely chemical and mineralogical compositions, there are many ways to classify these rocks. These ways are classical approved methods to give a reliable classification and nomenclature of rocks. Some igneous rocks may be classified by digital image processing to assist in classical methods. Five igneous samples were cut, prepared of thin sections, and polished to classify them by classical methods and digital image processing by ENVI software. Moreover, part of these samples crushed an analysis of major oxides. The current igneous samples have referred to the basic and mesocratic rocks based on the classical methods and this has corresponded to ENVI software. The igneous samples have reflected the leucogabbros when classify them by classical and ENVI classifications, except the G5 sample, which has been referred to as gabbro by ENVI. There is a clear similarity between the classical and ENVI classifications. ENVI classification is a reliable classification to assist the classical methods in the nomenclature of igneous rocks, especially, plutonic rocks, it can be also applied to thin sections of volcanic rocks to classify and nomenclature classification by ENVI has been applied on fifty thin sections of limestones to identify microfacies which are classified beforehand by classical (optical) classification. According to optical classification, microfacies have classified as mudstone, wackestone, packstone, and grainstone. When the digital classification is applied to them, there is no grainstone texture found in these them. Digital thin sections, where the true name of these microfacies is packstone. Therefore, the positive sides of the digital image processing by ENVI software appeared and contrasted to the optical classification which contained some mistakes when applied to the nomenclature of these microfacies.
MOBILE LEARNING AMONG FORM SIX STUDENTS: ARE THEY READY?

Prior to embarking on mobile technologies, mobile learning has become an integral part of learning strategies. It is viewed as a potentially significant learning tool as it has made learning ubiquitous with the use of wireless mobile devices. However, before designing and implementing a new learning system, learner’s readiness should be taken into consideration. Despite its notable advantages, mobile learning is largely unresearched at Malaysian Form Six Students. Therefore, this quantitative study aims to investigate the extent of readiness of Malaysian Form Six students., A set of questionnaires was administered to 106 randomly selected form six students to serve this purpose. The questionnaire was designed to explore three main readiness, namely Self-Directed Learning (SDL), technological readiness, and psychological readiness. The overall findings revealed that a great majority of the students show a high level off readiness for the implementation of mobile learning. The evidence from this preliminary finding has provided valuable information for educators and curriculum designers to discover ways to exploit mobile learning in the teaching and learning process.
Generating Contextually Coherent Responses by Learning Structured Vectorized Semantics

Generating contextually coherent responses has been one of the most critical challenges in building intelligent dialogue systems. Key issues are how to appropriately encode contexts and how to make good use of them during the generation. Past works either directly use (hierarchical) RNN to encode contexts or use attention-based variants to further weight different words and utterances. They tend to learn dispersed focuses over all contextual information, which contradicts the facts that humans tend to respond to certain concentrated semantics of contexts. This leads to the results that generated responses are only show semantically related to, but not precisely coherent with the given contexts. To this end, this paper proposes a contextually coherent dialogue generation (ConDial) method by first encoding contexts into structured semantic vectors using self-attention, and then adaptively choosing key semantic vectors to guide the response generation. Based on the structured semantics, it also develops a calibration mechanism with a dynamic vocabulary during decoding, which enhances exact coherent expressions by adjusting word distribution. According to the experiments, ConDial shows better generative performance than state-of-the-arts and is capable of generating responses that not only continue the topics but also keep coherent contextual expressions.
The Students’ and Parents Voices on Online Learning in SMP Wahid Hasyim Pasuruan

&lt;strong&gt; &lt;/strong&gt;The pandemic of COVID 19 has caused a drastic change in the way the students’ learn. Instead of learning at school, the students learn from home. This paper is aimed at describing the students’ and parents’ opinion, reasons, and difficulties during the learning from home. The researcher used a mixed method design to collect the data. The subjects of the study were 25 students in grade 9 of SMP A Wahid Hasyim Pasuruan and 28 parents. The instruments were open and close questionnaire and interview. The data is collected from October to December 2020. The result shows that 1) the students and the parents agreed that online learning was effective for the teaching and learning process during the pandemic of COVID 19. 2) The students like online learning because online learning saves time (41.66%). On the other hand, the parents prefer online learning because of health reasons, which is to avoid the spread of covid-19. The major problem faced by the students and parents is the internet quota. The result shows that most students and parents agree that online learning becomes the most preferable way to conduct the teaching and learning process during the pandemic of COVID 19. &lt;p&gt; &lt;/p&gt;
Natural Language Processing Services in Assistive Technology

This project consists on creating an app that helps people with partial or total loss of hearing and deaf people. It is ideally designed to be used in academic environments and classrooms where students with these conditions can carry out their everyday activities with normalcy. Hence, the application enables teacher and student to join a chat room so that the teacher can give a class while the student sees his words reflected in the text of the chat room in the chosen language. The application has an additional function that consists on turning text into speech to communicate easily with others (not only in the academic environment). Users are allowed to record audio with the microphone to convert text so it can be read by a deaf person especially during short conversations. This is planned through cognition services offered by Google AI with cloud data processing algorithms where developers have access to high-level services that boost the creation of solutions that require Artificial Intelligence (AI). The eagerness of this project is reflected in the fact that 100% of the people interviewed to assess the app agree that it can be useful tool for society. Therefore, they conclude that there is an 80% probability that they will download the app in a nearby future.
Аdaptive combined image coding with prediction of arithmetic code volume

The problem of increasing the efficiency of coding of halftone images in the space of bit planes of differences in pixel values obtained using differential coding (DPCM – Differential pulse-code modulation) is considered. For a compact representation of DPCM pixel values, it is proposed to use a combined compression encoder that implements arithmetic coding and run-length coding. An arithmetic encoder provides high compression ratios, but has high computational complexity and significant encoding overhead. This makes it effective primarily for compressing the mean-value bit-planes of DPCM pixel values. Run-length coding is extremely simple and outperforms arithmetic coding in compressing long sequences of repetitive symbols that often occur in the upper bit planes of DPCM pixel values. For DPCM bit planes of pixel values of any image, a combination of simple run length coders and complex arithmetic coders can be selected that provides the maximum compression ratio for each bit plane and all planes in general with the least computational complexity. As a result, each image has its own effective combined encoder structure, which depends on the distribution of bits in the bit planes of the DPCM pixel values. To adapt the structure of the combined encoder to the distribution of bits in the bit planes of DPCM pixel values, the article proposes to use prediction of the volume of arithmetic code based on entropy and comparison of the obtained predicted value with the volume of run length code. The entropy is calculated based on the values of the number of repetitions of ones and zero symbols, which are obtained as intermediate results of the run length encoding. This does not require additional computational costs. It was found that in comparison with the adaptation of the combined encoder structure using direct determination of the arithmetic code volume of each bit plane of DPCM pixel values, the proposed encoder structure provides a significant reduction in computational complexity while maintaining high image compression ratios.
Nehsc: A New Efficient Heuristic for Symmetric Key Cryptography

Cryptography involves encryption and decryption. The common utilized methods to secrete the significance of information comprise of the learning of cryptography. Cryptography is the method to revise of various methods for maintaining security issues for transmission of data in the existence of combatants. Usually, cryptography is regarding developing and analysis rules that can stop combatants or the peoples from studying confidential information; different directions of message safety such as information privacy, validation and non-repudiation are essential part of current cryptography techniques.
Elias Wesséns runstensundersökningar i Södermanland 1928 och 1929

In 1924 Elias Wessén was engaged as the editor of the corpus edition Sveriges runinskrifter as a successor of Erik Brate, who had died in april the same year.Just before his death Brate had completed the first fascicle of the third volume of the series, Södermanlands runinskrifter, but most of the plates had been withdrawn, since many of the photographs were of low quality.In the summers 1928-30 Elias Wessén undertook new investigations of the runic material in Södermanland in cooperation with a professional photographer, Harald Faith-Ell.These investigations
Web and android-based application for monitoring tuberculosis (TB) patients in Kediri City

Tuberculosis (TB) is a chronic disease that is still a public health problem globally, including Indonesia, due to its easy transmission. Treatment for TB sufferers consist of several drug combinations that are intended to eradicate germs. For TB sufferers, the key to successful treatment is the patient's compliance with taking medication every day. The lengthy treatment time is usually at least six months allowing non-adherence to taking the medication by the patient. If not treated properly, there will be a risk of disease complications, such as tuberculosis bacteria resistant to drugs, making TB treatment more difficult. In this study, an Android-based was built to remind TB sufferers to take their medication during the treatment process. In addition to the mobile-based application, there is also a web application used by drug drinking supervisors (PMO; Petugas Minum Obat in Indonesia) in monitoring TB patients, where the application can also view patient compliance statistics in taking medication and historical data on TB patients’ medical treatment. After completion and development, the application will be given to PMO officers and patients to be tested. It is hoped that the application can help the TB treatment process become more effective and prevent treatment failure from the implementation.
Phonics Reading Strategy: An Alternative Strategy to Improve EYL Students’ Reading Skill

The introduction of English to young learners has been implemented for a long time with various strategies and approaches. However, not all of strategies the teacher used were successful in being applied in the classroom. Based on pre-observation, the students’ reading interest is low due to difficulty understanding the text. They have difficulty understanding sentences, and students can only find the meaning of the sentence or only understand the text content's outline. The present study aims to determine whether reading phonics strategy can improve students reading skill in second-grade of SMP Negeri 2 Sumarorong. The study used a pre-experimental method in one class given a pre-test and a final test. The population is the second-grade students and this study used a total sampling technique. The result of the data shows that the mean value in the final test is greater than the mean value of the initial test (79.52&gt;60.800), and the t-test value is greater than the t-table value (12.046&gt;2.046) at the level of increase of 0.05, with degrees of freedom (df) 24. This increase can also be seen from the post-test result, which is greater than the pre-test score. This evidence highlighted phonics reading strategy can improve students reading skill.
The Challenges of Data Acquisition and the Use of Artificial Intelligence/Machine Learning

On November 24, 2020, Paul Jenkins presented The Challenges of Data Acquisition and the Use of Artificial Intelligence/Machine Learning at the 2020 CASIS West Coast Security Conference. The presentation was followed by a question &amp; answer session. Main discussion topics included the importance of data when tackling organized crime; the challenges that the exponential growth of data presents; and the importance of having ethical and regulatory frameworks when dealing with data.
Проблема інтерактивного обговорення ілюстративного навчального матеріалу за умов дистанційної форми освіти

International scientific and practical conference «Pedagogy and Psychology in the Modern World: the art of teaching and learning» : conference proceedings, February 26–27, 2021. Riga, Latvia : «Baltija Publishing». 444 pages.
Проблема академічної мобільності майбутніх перекладачів в Україні

International scientific and practical conference «Pedagogy and Psychology in the Modern World: the art of teaching and learning» : conference proceedings, February 26–27, 2021. Riga, Latvia : «Baltija Publishing». 444 pages.
A Syntactical Analysis of Lewis’s Triviality Result

The first part of the paper contains a probabilistic axiomatic extension of the conditional system WV, here named WVPr. This system is extended with the axiom (Pr4): PrA = 1 ⊃ □A. The resulting system, named WVPr∗, is proved to be consistent and non-trivial, in the sense that it does not contain the wff (Triv): A ≡□A. Extending WVPr∗ with the so-called Generalized Stalnaker’s Thesis (GST) yields the (first) Lewis’s Triviality Result (LTriv) in the form (◊(A ∧ B) ∧◊(A ∧ ¬B)) ⊃ PrB|A = PrB. In §4 it is shown that a consequence of this theorem is the thesis (CT1): ¬A ⊃ (A &gt; B ⊃ A ⥽ B). It is then proven that (CT1) subjoined to the conditional system WVPr∗ yields the collapse formula (Triv). The final result is that WVPr∗+(GST) is equivalent to WVPr∗+(Triv). In the last section a discussion is opened about the intuitive and philosophical plausibility of axiom (Pr4) and its role in the derivation of (Triv).
ONLINE RELIABLE FUZZY DATA CLUSTERING USING A SPECIAL TYPE ACCESSORY FUNCTION

An online method of reliable fuzzy clustering is proposed, designed to analyze data sequentially received for processing. A feature of the developed approach is the use of the membership function of a special kind described by the density function of the Cauchy distribution. The actual procedure for clarifying the centroids of clusters is essentially a self-learning rule “The Winner Takes More” (WTM), in which the neighborhood function is generated by the introduced membership function.
The Nearby Doctor Search Application Based on Android

This study aims to design the nearest doctor search application based on Android. The application is designed to find the nearest doctor and emergency room, show a list of emergency rooms and general doctor and specialists who open practice in Semarang area, and order queues online. The design of this application uses survey results to get data about application requirements. The application is designed based on the needs of the people who use the services of a private practice doctor and is expected to help the community in ordering queues to see a private practice doctor. The application was tested to 45 respondents ages 16-35 years who had tried the application 2-4 times. The test results state that application users will continue to be willing to use it if the application is easy to use and they have the device to run the application.
Perencanaan Digitalisasi Perpustakaan pada UPT Perpustakaan Universitas Halu Oleo

Juniati (C1D4 15 093), “Planning for Library Digitalization at Halu Oleo University Library”. Library and Information Science Study Program, Faculty of Social and Political Sciences, Halu Oleo University. Advisor I Dr. Zulfiah Larisu, S.Sos., M.Si. and Supervisor II La Iba, S.Ip., M.Si. The research objective was to determine the planning for digitalization of the library at the Halu Oleo University Library. The data analysis technique used in this study was carried out descriptively qualitatively. Subjects or research informants totaled 3 people consisting of electronic library managers and librarians. Data collection techniques in the form of observation, interviews and documentation. The results of this study indicate that the planning for digitalization of the library at the UPT Library of Halu Oleo University so far has been maximal in terms of network indicators, facilities, human resources and monitoring performance evaluation. But from these indicators, there are indicators that cannot be said to be maximum, namely funding. The funding process that comes from the government in conjunction with the library organizer or the university does not guarantee that the funding process is there every year, while digitalization planning requires a large enough fund to support the process. The funding decision is a serious factor in the process of digitizing the library at the Halu Oleo University Library. Key Words : Planning, Library digitization
Donor Heart Assessment Model

Data consists of 650 brain dead donors (BDD) in a period from 1st of January 2012 till 31st of December 2017. In model creation, binomial logistic regression used. The dependent variable is a rejection of donor heart and donor characteristics attributed to independent factors. The odds ratios (OR) value determined for each factor, then transformed into points, and the sum of the points is a score of the donor’s heart. The given model is validated by choosing 218 donors for the period from 1st of January 2019 till 31st of December 2019.
Діагностування рівнів сформованості культури безпеки професійної діяльності майбутніх інженерів з охорони праці

International scientific and practical conference «Pedagogy and Psychology in the Modern World: the art of teaching and learning» : conference proceedings, February 26–27, 2021. Riga, Latvia : «Baltija Publishing». 444 pages.
Inclusive Education for Inclusive Economic Participation: the Financial Access Channel

Purpose – The study assesses how inclusive education affects inclusive economic participation through the financial access channel. Design/methodology/approach – The focus is on 42 sub-Saharan African countries with data for the period 2004-2014. The empirical evidence is based on the Generalised Method of Moments. Findings – The following findings are established. First, inclusive secondary education moderates financial access to exert a positive net effect on female labour force participation. Second, inclusive “primary and secondary school education” and inclusive tertiary education modulate financial access for a negative net effect on female unemployment. Third, inclusive secondary education and inclusive tertiary education both moderate financial access for an overall positive net effect on female employment. In order to provide more gender macroeconomic management policy options, inclusive education thresholds for complementary policies are provided and discussed. Originality/value – Policy implications are discussed in the light of challenges of economic development in the sub-region and Sustainable Development Goals.