Reviewerly/exHarmony huggingface dataset:
Legal protection of the human genome – excessive or disproportionate?

Abstract Throughout the 20 th century, life expectancy in developed countries considerably increased from 40 to 70 years. This stemmed mainly from the technological advancements in medicine that have been taking place since the end of the 19 th century. Although the development of contemporary clinical medicine is undoubtedly beneficial to public health, it may also entail certain hazards. Hence, both in international and national law systems one can find legal regulations setting the limits of this development and taking into account the principles of public safety in its contemporary understanding. Both the human being as a whole and the human genome are protected de jure . The article attempts to answer the question whether the currently binding genome regulations are excessive or disproportionate. The authors use the dogmatic-legal and the theoretical-legal methods in the study. The article ends with conclusions.
PERANCANGAN VISUAL IDENTITY OPTIK ANTOKAN LUBUK BASUNG

Optik Antokan Lubuk Basung is a business that operates in the field of eyewear services located at Jalan VII of the Padang Baru Impres Market, Lubuk Basung. Optik Antokan was founded in 2010 and is managed by Aan Goechi as the founder and leader until now. Optical Antokan requires a visual identity that includes logos, colors and fonts, as well as the rules in its application, in accordance with the references specified by the designer in the manual as the main media, in order to establish an affirmed identity, improve business image, according to the distinctions and uniqueness provided for Antokan Optics.Optical Identity Visual Design Method used by the author uses the Glass Box method. This design method starts from data collection, interview and observation. Related problems that occur can be known, as well as the discussion of problems that are analyzed using the SWOT theory (strengths, weaknesses, opportunities, threats). The main media used in this visual identity is the Manual Book / BrandGuidelines. In addition to the main media, this visual identity is complemented by supporting media such as stationery sets, paperbags, x-banners, stickers, posters, glasses boxes, lens cleaners, and t-shirts which support to support the use of the main media.Keyword : Visual Identity, Optik Antokan, Media.
Edukasi Pemanfaatan Teknologi Informasi dalam Bidang Pertanian di SMK Lentera Harapan

Information technology has many benefits in everyday life. However, the use of information technology in agriculture in Indonesia still very lacking. This community service aim is to introduce the use of information technology in agriculture to students. This education is carried out in the form of seminar which was held on 15 March 2022 at SMK Lentera Harapan. It is hoped that students will get better information about the use of information technology in agriculture. We hope agriculture in Indonesia can grow using technology
IMPACT OF SOCIAL MEDIA ON ADOLESCENTS LEARNING IN DISTRICT QUETTA

In recent years, the usage of social media has been drastically increased, particularly among teenagers and students in upper secondary schools. Nevertheless, the majority are well aware of general use about the purpose, how help learning process and even the authentication of the knowledge is verified. The study examines how social media impact on various stages of teen age learning in district Quetta, Baluchistan. A quantitative research design was used with the sample of 200 adolescents 1 stages through questionnaire tool, the study looks at how people use social networking sites in general, how they learn, and how much time they spend on them. A descriptive analysis and a multiple liner regression were used to investigate the data. According to the findings of the study, the majority of stage one adolescents use social media for learning objectives, whereas stage three adolescents use it mostly for general purposes. This study is significant to help educational Leadership, Parents, administrators and teachers and parents to accept that, how the social media is helpful in learning process. The research also offers suggestions for making social media use more effective and helpful for teenage learning.
Solving Mean-Payoff Games Via Quasi Dominions

We propose a novel algorithm for the solution of mean-payoff games that merges together two seemingly unrelated concepts introduced in the context of parity games, namely small progress measures and quasi dominions. We show that the integration of the two notions can be highly beneficial and significantly speeds up convergence to the problem solution. Experiments show that the resulting algorithm performs orders of magnitude better than the asymptotically-best solution algorithm currently known, without sacrificing on the worst-case complexity.
Quasi-Clique Mining for Graph Summarization

Several graph summarization approaches aggregate dense sub-graphs into super-nodes leading to a compact summary of the input graph. The main issue for these approaches is how to achieve a high compression rate while retaining as much information as possible about the original graph structure within the summary. These approaches necessarily involve an algorithm to mine dense structures in the graph such as quasi-clique enumeration algorithms. In this paper, we focus on improving these mining algorithms for the specific task of graph summarization. We first introduce a new pre-processing technique to speed up this mining step. Then, we extend existing quasi-clique enumeration algorithms with this filtering technique and apply them to graph summarization.
PRACTICES OF MANAGING STUDENTS’ SOCIO-ECONOMIC STATUS FOR ACHIEVEMENT OF EDUCATIONAL GOALS IN MAKERERE UNIVERSITY (UGANDA)

Purpose: Prompted by persistent complaints from different stakeholders in regard to the problem of managing diversity of student socio-economic status in Makerere University, the study set out to examine the factors that enable or disable the students from Low Socio-Economic Status (LSES) backgrounds from achieving their educational goals at Makerere University (Uganda).&#x0D; Methodology: The study drew on social justice literature to stimulate debate on why and how such LSES students can be supported to achieve their educational goals. The study adopted a cross-sectional survey design, which was approached from a mixed research paradigm where both qualitative and quantitative data were collected from 410 Makerere University students. Using closed-ended questionnaires and focused interview guides&#x0D; Findings: The study discovered that management practices like financial and material resources mobilization for the underprivileged were absent. It was therefore concluded that practices on socio-economic diversity reflected absence of recognitive and distributive equity.&#x0D; Unique contribution to theory, practice and policy: The study’s major contribution lies in the provision of knowledge on up-to-date policies and practices of managing student SES diversity to enable students of a LSES background to achieve their educational goals.
HUBUNGAN EFIKASI DIRI DENGAN MOTIVASI BELAJAR SISWA DI SMA PERSATUAN PEDAMARAN

Self-efficacy is the confidance which is in a persom toward his ability to achieve the certain goals successfully and makescontol of the surrounding circumstances to achieve the certain goal successfully. Learning motivation of studens the psychological factor which becomes driving or stimulus to conduct the learning activities acquired throught the common experiences that can change behavior.&#x0D; The population in this study is studens of Persatuan Pedamaran Senior high scool with the all of 102 studens and the sample in this study is 35 of students. Data collection methods used in research using analysis product moment. &#x0D; The result of this indicate that there is a significant relationship between variables self-efficacy with learnig motivation. The result of data analysis are obtained based on calculation and provision a = 0,05 db= n-2 = 33 so it is obtained ttabel 0.447077858 dan thitung 2,852206 atau thitung ≥ ttabel. So the correlation variabel are x and y or relationship self-efficacy and learnig motivation of student in senior high school persatuan significant or Ha received and Ho rejected. Mean the is a significant relationship between self-efficacy with learning motivation of student ini senior high school persatuan.
HUBUNGAN ANTARA KEGIATAN EKSTRAKURIKULER DENGAN KEAKTIFAN SISWA DALAM BERDISKUSI DI SEKOLAH MENENGAH PERTAMA MUHAMMADIYAH 4 PALEMBANG

Extracurricular activities are a series of additional activities carried out outside of class hours with the aim of enriching and expanding the potential aspects of the interests, talents and abilities of students held by the school in accordance with the school regulations. Discussion is a discussion of a topic with a view to formulating a common interest and the purpose of this activity is to find a solution to the problem discussed. The purpose of this study was to obtain data on the relationship between extracurricular activities and student activity in discussions at SMP Muhammadiyah 4 Palembang.This type of research used in this research is quantitative (non-experimental) research using simple statistical analysis techniques using the percentage formula and product moment technique. The sample used in this study was class VIII totaling 177 students taken by random sampling technique, the sample amounted to 36 students. To obtain data the author uses the method of observation, questionnaires, and documentation.Based on the results of the analysis of research data, the correlation value calculation shows the number rxy = 0.95, this means that there is a positive relationship (unidirectional) between extracurricular activities with student activity in discussion. Viewed from the level of 1% = 0.4238 and the level of 5% = 0.3291 means that the table&gt; r then the consequence is (Ha) is accepted (Ho) is rejected. And it can be concluded that the correlation value of 0.95 obtained is not negative, because it is in the range of the relationship between 0.40-0.70 on the interpretation of the value of 'r' product moment, it can be known that the variable X and Y are very strong, from the analysis these data, thus the proposed hypothesis is accepted, and there is a significant or very strong relationship between the two variables X and Y variables.
Some aspects of communication ethics as a premise for improving quality management in the field of education

Quality education is an imperative of our times. An essential part of this process is effective communication of the actors involved. Interaction and resilience skills and the beneficial effects of communication are extremely important in a modern world, with a wide range of communication means. In this context, in the paper we have focused on analyzing the contribution of communication to the improvement of professional ethics and to the relaxation of some, still existing situations in the educational field, namely the phenomenon of labeling. The authors conclude, that in order for the common approach of the actors involved to be effective, there is a need for a strategy of continuous improvement, a certain way of approaching and resolving the tasks of personal training without distorting the audience’s personality. The purpose of the research is to identify strategies for optimizing communication as a basis for learning progress and thereby improving quality management in education. A special aspect was the highlighting of the contribution of European projects to the qualitative development of the educational environment. The authors approached a research methodology that focused on studying bibliographic sources in the field, analysis and synthesis of information obtained, data extrapolation and generalization, etc.
Fast computations on ordered nominal sets

Nominal automata are models for recognising languages over infinite alphabets, based on the algebraic notion of nominal set. Motivated by their use in automata theory, we show how to compute efficiently with nominal sets over the so-called total order symmetry, a variant which allows to compare alphabet letters for equality as well as their respective order. We develop an explicit finite representation of such nominal sets and basic constructions thereon. The approach is implemented as the library Ons (Ordered Nominal Sets), enabling programming with infinite sets. Returning to our motivation of nominal automata, we evaluate Ons in two applications: minimisation of automata and active automata learning. In both cases, Ons is competitive compared to existing implementations and outperforms them for certain classes of inputs.
Reflection on Non-English Major Translation Teaching in Colleges and Universities in the Era of Big Data

With the continuous development of China's information technology, Internet plus technology has been widely used as a form of big data technology, which has effectively promoted the development of the industry, laying a solid foundation for enhancing China's data analysis and application ability.This paper reflects on the innovation of translation teaching in non-English major universities in the era of big data in hope of promoting the healthy development of English teaching in Chinese universities.
Letter from IAES President\'s Desk

Dear Friends,We are almost in the 30 th year of our existence.Though we could not celebrate the silver Jubilee year of our inception, I would like to propose to observe this year in a wonderful way.Already there has been a lot of enthusiasm observed amongst the young endocrine surgeons to uplift the academic standards of IAES.I would like to appeal to our endocrine surgeon friends, if situation permits to observe a week long programme in their institute, hospital or clinic to conduct some kind of workshop, seminar, talks, group discussions, clinical and operative photography, paintings and rangoli or even social events to highlight the different aspects of management of endocrine surgical cases.Such activities will bring about a perspective change in the workplace and generate interest and awareness of our specialised work amongst other faculties and post graduates.The newer technologies and guidelines in the management of endocrine surgical cases need to be highlighted.Our journal IJESR has already become a scientific masterpiece and in the days to come will be adorned with many accolades and pinnacles of success.I wish the June issue and the subsequent issues of IJESR a grand success.At the end, I thank everyone for their full co-operation in IAES activities and taking up hard and challenging tasks in advancement of this section.
Interest of Gain and Good Neighbourliness in Cameroon: A Logistic Analysis

The objective of this paper is to study the consequences of interest of gain on good neighbourliness in Cameroon. According to Bergalli [1], corruption is an indicator of change in the forms of social interaction: the interest of gain becomes the most important of the interests that weave the social bond. At this point, in a relation of mutual assistance, help during difficult times can decrease because there is nothing to gain by helping. Using survey data from the National Institute of Statistics on 9,222 households in 2014, estimates from a logit model show that the fact that corruption is a major problem for the country decreases the probability of getting help from neighbours in difficult times. The interest of gain has led to a deterioration of good neighbourliness in Cameroon.
Disaster talk: The increased knowledge of disaster management among a study group of students of Faculty X University Y

Indonesia has been known as a disaster-prone country. Disasters can occur due to several things, namely natural disasters, disasters due to technological failures, and also emerging risks. Disaster control can be done by knowing disaster management in an integrated and comprehensive manner. Providing information and increasing relevant knowledge about disasters is one of the implementations of the disaster management phase, namely the pre-disaster stage. University students are chosen as partners because they are agents of change who can play a significant role in society. The method of implementing community service is through online lectures and discussions. Pre and post-test were carried out to determine the comparison of knowledge in students. This activity succeeded in increasing students' knowledge about disaster management.
The APE lecture: Life in a liminal space; Or, the journey shapes the destination

This paper is based on a presentation at the APE 2022 Conference and two blog posts published first on The Scholarly Kitchen. It explains how the scholarly community is currently in a liminal space; a place of transition to the end goal of open access (OA), open science, and open research. It argues that the publishing landscape is marked by two waves of consolidation: in the journal’s publisher space, and in the scholarly communication infrastructure. With respect to the first wave, Uncertainty, Transformative Agreements, and the required Technology and Reporting Burdens of Plan S led to an increased emphasis on publishing in quantity, smaller society publishers being dissolved, and bigger publishers shifting towards being workflow providers. The second wave of consolidation is happening around the technology and infrastructure of scholarly communication. This has seen a further shift for many companies away from being a publisher and toward being a workflow provider. The short-term outlook is that we are going to be in this liminal space for a while. Longer term we see two concurrent trends: a drive for low-cost, high-volume bulk publishing, and a shift for publishers to become paid service providers for most everything else. This is the path we are on. The question for the community is whether this is an acceptable long-term outcome to our end goal, or are there other routes we should be taking to drive a differently shaped future?
Analysis of multitemporal compositing techniques from regular and non-regular intervals using MODIS daily images in the Amazon region with a high percentage of cloud cover

One challenge in the study of optical remotely sensed time series in the Amazon is the constant cloud cover. The present study evaluates different compositing techniques using regular and non-regular intervals to obtain cloud-free images over large areas. The study area was the municipality of Capixaba in the State of Acre, belonging to the Amazon region. The tests considered four compositing algorithms (maximum, minimum, mean, and median) for daily MODIS sensor data (b1 and b2, 250m). The compositing technique from regular intervals adopted the following periods: 8, 16, 24, 32, 40, and 48 days. The irregular interval composite images adopted different composition intervals for dry seasons (April to September) and rainy (October to March). The cloud mask and viewing angle constraint allowed to obtain information without atmospheric interference and closest to nadir view. The composite images using regular intervals did not allow to overcome the high frequency of cloud cover of the region. The composite images from non-regular intervals presented a higher percentage of cloud-free pixels. The mean and median methods provided the better visual appearance of the images, corroborating with the homogeneity test. Therefore, composite images from non-regular intervals may be an appropriate alternative in places with constant cloud coverage.
In Pursuit of the Best Detection of Positive Data Under User’s Concern on False Alarm

Just-In-Time Software Defect Predict (JIT-SDP) has been a popular research topic in the literature of software engineering. In many practical scenarios, software engineers would prefer to pursue the best detection of defect-inducing software changes under the concern of a given false alarm tolerance. However, there have been only two related studies in the Machine Learning (ML) community that are capable of tackling this constraint optimization problem. This paper aims to study how can we utilize the existing ML methods for addressing the research problem in JIT-SDP and how well do they perform on it. Considering the fact that the objective and the constraint are not differentiable, a Differential Evolution (DE) algorithm is by nature suitable for tackling this research problem. Thus, this paper also aims to investigate how can we propose a novel DE algorithm to better address the constraint optimization problem in JIT-SDP. With these aims in mind, this paper adapts the ML methods with a spared validation set to facilitate the constraint learning process, and it also proposes an advanced DE algorithm with an adaptive constraint to pursue the best detection of the positive class under a given false alarm. Experimental results with 10 real-world data sets from the domain of software defect prediction demonstrate that our proposed DE based approach can achieve generally better performance on the constraint optimization problem, deriving better classification models in terms of both objective and the constraint.
PRINSIP-PRINSIP DAN MODEL DESAIN DALAM PEMBELAJARAN

This article aims to discuss the principles and design models in learning and using a library approach. This paper is useful to help determine a learning model. There are several things that need to be considered before choosing a learning model, including identifying problems and setting learning objectives, determining and analyzing student character, identifying material and analyzing components of learning tasks related to achieving learning objectives, setting specific learning objectives for students, making systematics delivery of learning materials systematically and logically, designing learning strategies, determining methods for delivering subject matter, developing evaluation instruments, selecting sources that can support learning activities.
Text Prediction Zero Probability Problem Handling with N-gram Model and Laplace Smoothing

In Natural Language Processing, text prediction represents the process of predicting the word with the highest probability through a predictive language model from a series of text corpus. The N-gram model is familiar and considered the handiest and most computationally cost-effective model for text processing. Additionally, higher N-gram models, especially the 5-gram ones, give the best text prediction. Interestingly, these better prediction results were obtained only on the training dataset. In contrast, the highest N-gram model imploded badly on the evaluation dataset. This paper proposes an approach where the N-gram model, especially the bi-gram model, and the fine tuning with Laplace Smoothing, provide the best prediction results at the evaluation stage.
Determination of Power Harassment Expressions in Conversational Speech Using Natural Language Processing

In recent years, the number of power harassment consultations is increasing, and power harassment with ambiguous criteria such as mental aggression is rampant. The purpose of this study is to notify the perpetrator when the likelihood of power harassment is judged to be high based on conversational speech. We attempt to use natural language processing to determine whether the target text constitutes power harassment, based on textual data on past precedents that have led to power harassment. The proposed method determines whether the target text constitutes power harassment or not by calculating the similarity (cos-similarity) between the target text and the text of the precedents and comparing it with a threshold value set through the experiment. The resemblance is calculated from a 768-dimensional feature vector obtained from each text’s Bidirectional Encoder Representation from Transformers (BERT). The morphological analyzer is Juman++ and the BERT Japanese Pre-trained Model is used as a pre-trained model. We used two types of surveys to determine thresholds and assess accuracy. In the experiment, we determine the threshold according to the questionnaire results and obtain a high discrimination rate, which shows that our method is effective.