Reviewerly/exHarmony huggingface dataset:
What do software team managers want from a skills identification?

Searching for developers with the necessary skills to work effectively on a project is not an easy task for companies. For software team managers, it is important to know their team's experience and what technologies they are using in order to be able to allocate resources optimally. Therefore, in this paper, we decided to study the needs of the managers of a software development company in order to identify their team's skills. We carried out a focus group. We have interviewed 11 managers from a development company (with approximately 75 developers). As result we have mapped 5 issues, 4 possible applications and another 7 needs to create a new methodology for identifying skills. Finally, we conclude that managers are interested in a methodology to identify skills in business flow.
Robust and Effective Banknote Recognition Model for Aiding Visual Impaired People

Visual disabled Ethiopians find great difficulty in recognizing banknotes. Each Ethiopian banknote has an identical feel, with no Braille markings, irregular edges, or other tangible features that make it easily recognizable by blind persons. In Ethiopia, there's only one device available that will assist blind people to acknowledge their notes. Internationally, there are devices available; however, they're expensive, complex, and haven't been developed to cater to Ethiopian currency. Because of these facts, visually impaired people may suffer from recognizing each folding money. This fact necessitates a higher authentication and verification system that will help visually disabled people to simply identify and recognize the banknotes. This paper presents a denomination-specific component-based framework for a banknote recognition system. Within the study, the dominant color of the banknotes was first identified and so the exclusive feature for every denomination-specific ROI was calculated. Finally, the Colour-Momentum, dominant color, and GLCM features were calculated from each denomination-specific ROI. Designing the recognition system by thereby considering the denomination-specific ROI is simpler as compared to considering the entire note in collecting more class-specific information and robust in copying with partial occlusion and viewpoint changes. The performance of the proposed model was verified by using a larger dataset of which containing banknotes in several conditions including occlusion, cluttered background, rotation, and changes of illumination, scaling, and viewpoints. The proposed algorithm achieves a 98% recognition rate on our challenging datasets.
Mengukur Kesiapan Orang Tua Siswa Terhadap Pembelajaran Online Menggunakan Chapnick ELR

Since the determination of the Corona Virus or Covid-19 outbreak as a pandemic by the government, there have been some major changes in living daily life in Indonesia. Almost all activities are carried out online, including teaching and learning activities which are referred to as Distance Learning (PJJ). The PJJ model is a new way of learning in Indonesia, this certainly has an impact, both on students and on parents. This research is a descriptive study that describes the opinions of the parents of students of Al-Azhar 2 Islamic Elementary School, Pasar Minggu with 20 % random sampling technique or 106 parents of all students' parents totaling + 540 people. This study used a closed survey model and data analysis with descriptive analysis. From this study, it was found that the average parents of student of Al-Azhar 2 Islamic Elementary School, Pasar Minggu answered to be doubtful or neutral about aspects of Psychological Readiness, Sociological Readiness and Financial Readiness, while for aspect of Environmental Readiness, Human Resources Readiness, Technological Readiness, Content Their Readiness state that they were ready and for Equipment Readiness they stated that they were very ready.
NUMBER STICKS MEDIA FOR DEVELOPING BASIC CALCULATION SKILLS IN EARLY CHILDREN

This study aims to determine whether or not to develop preliminary numeracy skills in Group A children TK PGRI 04 Kalibatur, Kalidawir District, Tulungagung Regency, using number stick media. This type of research is a Classroom Action Research (PTK) with a model developed by Kemmis and Mc Taggart. The subjects of this study were 13 children in group A. The data collection techniques used were observation and documentation while the instruments used were child assessment sheets and teacher observation sheets. The data analysis technique used is comparative quantitative technique. In the first cycle the percentage of completeness was 30.8%, the second cycle was 61.5%, and the third cycle was 92.3%. The conclusion of the results of this study is that learning using number stick media can develop initial numeracy skills in Group A children of TK PGRI 04 Kalibatur, Kalidawir District, Tulungagung Regency, 2020/2021Academic Year
The ban on headless XP-movement is not narrow syntactic

This paper argues that the ban on headless XP-movement should not be captured in narrow syntactic terms. That is, there is no constraint in the syntactic computation preventing remnant movement of a phrase from which the head has been extracted, i.e., so-called Takano’s Generalization is wrong. This is demonstrated through a case study of the emphatic doubling construction in Rioplatense Spanish, which requires a derivation proceeding exactly along these lines. It is further argued that the relevant prohibition should be stated as a condition that applies at PF: A preliminary conjecture on the nature of this prohibition is also offered.
New algorithm for clustering unlabeled big data

The clustering analysis techniques play an important role in the area of data mining. Although from existence several clustering techniques. However, it still to their tries to improve the clustering process efficiently or propose new techniques seeks to allocate objects into clusters so that two objects in the same cluster are more similar than two objects in different clusters and careful not to duplicate the same objects in different groups with the ability to cover all data as much as possible. This paper presents two directions. The first is to propose a new algorithm that coined a name (MB Algorithm) to collect unlabeled data and put them into appropriate groups. The second is the creation of a lexical sequence sentence (LCS) based on similar semantic sentences which are different from the traditional lexical word chain (LCW) based on words. The results showed that the performance of the MB algorithm has generally outperformed the two algorithms the hierarchical clustering algorithm and the K-mean algorithm.
PENERAPAN PEMBELAJARAN INQUIRY UNTUK MENINGKATKAN HASIL BELAJAR MATERI SPLDV PADA SISWA KELAS VIII

This study aims to determine: (1) student activities and teacher activities after the application of Inquiry learning on the material for SPLDV class VIII SMP Negeri 3 Ndona; (2) Can Inquiry learning to improve student learning outcomes in the VIII grade SPLDV material at SMP Negeri 3 Ndona. The type of research used is classroom action research. This research was conducted at SMP Negeri 3 Ndona. The research subjects were 23 people. The instruments used were observation sheets and tests. Data analysis used data analysis learning outcomes and observation data analysis. The showed that the application of Inquiry learning in mathematics learning can improve student learning outcomes for class VIII SMP cycle I to cycle II is 34.8%. The results analysis of observations on student activities in the first cycle showed a percentage of 66.4% and in the second cycle, the percentage was 89.2%. So student activity increased from cycle I to cycle II by 22,8%. While observations of teacher activity in the first cycle showed a percentage of 71.4% and in the second cycle, the percentage of teacher activity was 90% d. So teacher activity increased from cycle I to cycle II with an increase of 18.6%.
Isolated Keyword Spotting in Multilingual Environment using ANN and MFCC

The performance and analysis of Keyword Spotting system (KWS) are applied when the training and testing in a multilingual environment. This paper exhibits an approach for building up a multilingual KWS framework for Assamese, English and Hindi language dependent on feed-forward neural system. Mel Frequency Cepstral Coefficient (MFCC) has been utilized for highlight extraction which gives a lot of highlight vectors from recorded sound examples. Neural Network backpropagation model is utilized to improve the acknowledgment execution on the recently made multilingual database utilizing the multi-layer feed-forward neural system classifier.
THE INFLUENCE OF REWARDS AND PUNISHMENTS ON THE STUDENTS' LEARNING MOTIVATION AT GRADE V

Students' low motivation can be caused by how teachers teach in the learning activities. Teachers can use rewards and punishments to trigger students' learning motivation in the classroom. The data were collected through a questionnaire with a Likert scale. Meanwhile, the samples were selected by total sampling. Then, the data were analyzed by using multiple regression analysis to determine the effect of giving rewards and punishments on students' learning motivation either partially or simultaneously. The results showed that the tcount was 0.203 and ttable was 0.306; thus, Ho was accepted and Ha was rejected. As a result, giving rewards had no significant positive effect on students' learning motivation at grade V of SDN Dadaprejo 01, Kecamatan Junrejo, Kota Batu. Hence, partially giving rewards had no significant positive effect on motivation. In addition, this study also obtained that the tcount was 4.552 and the ttable was 0.306. Thus, Ho was rejected and Ha was accepted. This result indicated that punishment had a significant positive effect on the students' learning motivation at grade V of SDN Dadaprejo 01, Kecamatan Junrejo, Kota Batu. Hence, partially, punishment had a significant positive effect on learning motivation.
SECURITY TECHNIQUE BASED ON WATERMARKING AND CHAOTIC ENCRYPTION FOR DIGITAL IMAGE

With the widespread usage of the Internet, security takes precedence above anything else when transmitting data. This research proposed a hybrid encoding approach with watermark embedding that provides excellent security. Our novel strategy is based on cryptography, which allows it to recognize higher secrecy and efficiency. In this research, a hybrid method is used to support visual watermarking and cryptography to embed vital data. Our effort aims to improve the security of hidden facts embedded in the cover picture. The embedding and encryption of the watermark image into the cover image document were performed in two steps. To begin, two keys and an XOR bit operation were used to generate a large number of distinct keys for encryption. Second, a modified approach of the least significant bit (LSB) technique was adopted to hide a high-resolution watermark picture in the cover picture. The suggested second stage involved encrypting the cover image using the asymmetric key cryptography method (RSA), which provides additional secrecy during picture transmission. The original picture, the watermark photo, can be recovered and decoded using the permitted techniques. As a result, encoding and watermarking may be combined, giving the term "joint encoding and watermarking" legitimacy. Peak Signal to Noise Ratio (PSNR) and relationship aspects are greater with this method. For the implementation of hiding and encoding for the watermark and encoding the digital cover picture, MATLAB-GUI software was utilized. Experimental results demonstrated a good performance with a good correlation for all encrypted images and very high PSNR of the Stego images.
Methods to Handle Multiclass Imbalance Data in Educational Data Mining

In Scientists ordinarily exclude the equalization of the dissemination on a dataset in Educational Data Mining (EDM). It can truly influence the consequence of the classification procedure. Hypothetically, the distribution of data is respectively balanced pretended by the majority of classifier. Hence, the execution of the classification algorithm simply turned out to be less viable and should be taken care of the issue could illuminated. These exploration would characterize about imbalanced class on multiclass EDM dataset minding component utilizing the Map Reduce. This strategy serves adjusting system for the dataset's dissemination, using parallel processing; those classification result will the results. These balancing strategies can be implemented with different kind of classification methods like Naïve Bayes, SVM, NN to measure the improvisation in the results.
KAJIAN JARINGAN DISTRIBUSI DAN ANALISA FINANSIAL PADA PERENCANAAN PENGEMBANGAN JARINGAN AIR BERSIH DI KECAMATAN ARJOSARI , KABUPATEN PACITAN

Water is a natural resource that is an important part of supporting survival. This shows that the availability of water affects human life, therefore the authors plan a distribution network for 5 villages namely Tremas, Jatimalang, Gembong, Arjosari and Paggutan villages. The purpose of this thesis is to find out the population, calculate the discharge of water needs of residents, calculate the mainstay of discharge, calculate the reservoir capacity, calculate the financial analysis of water and how the service system is. The data needed are population data, topographic maps, source debit and price list for the Pacitan regency work unit in 2018. The method used in this planning is to show the population in 2029 as many as 19307, the discharge of water needs is 3.64lt / sec, while the mainstay debit uses the basic year method is based on the 2017 planning year and distribution using a 5250meter long GI pipe with details of 3000m long 2inch pipe, 1250meter 3inch length and 1000meter 4 inch long pipe. For the reservoir design with a size of 10m x 10m x 3m. The cost of water in 2029 is Rp. 500 per m3. The service system with a capacity of 300m3 is able to meet the needs of 5 villages
Sustainable Tourism Through Implementation of the Language Interactive Skills Module Among Local Entrepreneurs at Tuba Island: Module Development Phase

This study focuses on the local community by providing basic language skills guidance as well as increasing confidence in business communication.To achieve this objective, this research is conducted as a 2 in 1 project, namely providing skills training modules for youth entrepreneurs as well as study on the effects of the training on the socio-economic development of the community at Tuba Island.In line with the government's aspirations, few instruments were developed to measure the increase of socio-economic impact as well as the knowledge, skills, attitudes and achievements of the program among the participants.
“Mission Possible”: Supporting an Adoption of a Distance Learning Model for Schools during the Pandemic

This investigation relates to the professional development of in-service teachers on online teaching in K-12/P-12 schools during the COVID-19 pandemic. The main questions concerned the autonomy and support from/in schools, alternatives found and implemented. A model was developed and applied in different institutions. This article will focus on analysing the results of one Portuguese school.The study follows a Design-Based-Research methodology. The results revealed teachers have knowledge gaps regarding intermediate/advanced digital skills. Through the training course, teachers’ awareness was raised about the distinction between Remote Education and Distance Learning and some skills inherent to online teaching were developed.
Geometric Unsupervised Domain Adaptation for Semantic Segmentation.

Simulators can efficiently generate large amounts of labeled synthetic data with perfect supervision for hard-to-label tasks like semantic segmentation. However, they introduce a domain gap that severely hurts real-world performance. We propose to use self-supervised monocular depth estimation as a proxy task to bridge this gap and improve sim-to-real unsupervised domain adaptation (UDA). Our Geometric Unsupervised Domain Adaptation method (GUDA) learns a domain-invariant representation via a multi-task objective combining synthetic semantic supervision with real-world geometric constraints on videos. GUDA establishes a new state of the art in UDA for semantic segmentation on three benchmarks, outperforming methods that use domain adversarial learning, self-training, or other self-supervised proxy tasks. Furthermore, we show that our method scales well with the quality and quantity of synthetic data while also improving depth prediction.
Improve The Security of The Vigenère Cypher Algorithm by Modifying the Encoding Table and Key

This investigation was conducted to move forward the security of the vigenère cypher calculation by tending to the key conveyance issue and the most key issue within the calculation if cryptoanalysts effectively got it. The working demonstrates employments a 512-bit Electronic Code Book (ECB). The essential key utilized was a 512-bit arbitrary key. The randomized encoding table was also generated by the Blum Blum Shub calculation employing a scrambler key. The RSA calculation was utilized to scramble 512-bits random keys and scrambler keys. It comes about to appear that the proposed calculation does not include a key dissemination issue. With a randomized encoding table, the 512-bits arbitrary key cannot be utilized to unscramble the ciphertext off chance that cryptanalysis did not know the mixed table utilized. The preparing time appeared the proportion of the contrast of the vigenère cypher calculation. The proposed calculation was not as well essentially distinctive, and the longer the message was handled, the proportion of the time distinction possessed was moreover getting closer to one, which implies the distinction was not critical. The coming about ciphertext was too exceptionally secure, where the coming about ciphertext was irregular since the key utilized was random, and there were 3.75 x 10126 keys combination. This algorithm can be an alternative algorithm that is fast, safe, and easy to implement
How data governance technologies can democratize data sharing for community well-being – Corrigendum

An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
GEOCHEMISTRY AND MINERALOGY OF QUARRY DUSTS AT SOME SELECTED LOCATIONS OF SOUTHWESTERN NIGERIA

Toxic metals in quarry dusts have caused different health challenges to quarry workers and communities.Therefore, metal distribution and risk in humans linked to toxic-metal-contaminated quarry dusts have been examined from both inside and outside the twelve different quarries.Bauxitic portions (Al 2 O 3 -15.4)from dusts specify high clay percentage while the plot of SiO 2, Al 2 O 3 +TiO 2 and Fe 2 O 3 signify highly and more clastic rock aggregates.High CaO in Sagamu signifies the presence of carbonate rocks but the plot of (SiO 2 )-(Al 2 O 3 +TiO 2 )-(Fe 2 O 3 ) specifies silica rich rocks that is dominated by bauxitic clay when weathered.Zr-Cr-Ga plot revealed the dust origin and parental affinities as acidic rocks.Furthermore, tenary plot of Y-La-Ce revealed abundance of Ce signifying the presence of Ce>7 ppm in lepidolite, pollucite, and rhodizite within gneisses and pegmatitic rocks with values that range from 37.04 ppm -656.8 ppm.Inputs of Pb-20.51ppm and As-14.50ppm at Kopek and Labstar quarries may signify anthropogenic sources while the presence of Cu, Pb, As, and Ni at Kunlun quarry might specify mineralization.The Value for Chemical Index of Alteration (CIA=60.1-72.8)and Chemical Index of Weathering (CIW=60.8-75.6)indicate high muscovite and feldspar content.The dusts generated from these quarries might have anthropogenic inputs of Cu, Pb, Zn, As and Cd in two to three folds above the baseline concentration levels.
Utilizing Online Paraphrasing Tools to Overcome Students’ Paraphrasing Difficulties in Literature Reviews

One of the prevalence of digital technology in academic writing, particularly in literature reviews, is the use of paraphrasing tools.However, there is a lack of research focusing on overcoming students' paraphrasing difficulties in writing.Using the notion of Schuemann, C., Byrd, P., &amp; Reid. (2006), this paper explores students’ difficulties with paraphrasing and the use of online paraphrasing tools. A descriptive qualitative approach was used to collect data from 30 students enrolled in the Magister's of English Language Education (MELE) study program. Students' responses to two types of questionnaires were used as data sources. The study found that 83percent of the paraphrasing tools were used to rewrite the source text. Then, the most difficulties in terms of content, structure, language, and paraphrase strategy are paraphrasing itself, using correct grammar and appropriate vocabulary, and redundant/un-variative words. Furthermore, online paraphrasing tools mainly assist students in using the appropriate parts of speech (3.88) and in selecting appropriate vocabulary (3.79). It can then rewrite the source text using the same idea but a different writing style (3.75), correct grammar (3.67), the appropriate synonym to paraphrase (3.67), and changing the active sentence to the passive voice and vice versa (3.54). It can also change the source text's sentence structure (3.46), use proper tenses in literature reviews (3.38), and use proper discourse markers (3.33). Finally, students of the MELE study program can change the source text. Despite the numerous advantages of online paraphrasing tools, students are unable to read or comprehend text, which is the first step in the paraphrasing process.
Connecting University Students, Faculty and Administrators through an Online SMS Service

King Saud University (KSU) created an online Short Message Service (SMS) called “Tawasul”, developed in house, to connect administrators, faculty, and students. The KSU rector, deans, department heads and program coordinators send group season’s greetings and notifications to the mobile phones of faculty members, staff, and students. Instructors can send course notifications to their students regarding exams and other issues. There are currently 380 SMS groups for department staff, T.A.’s, workshop participants, course enrollees and others. Students and faculty surveyed indicated that the KSU online SMS Service is easy to use. It is faster and more efficient than paper memos and e-mails, especially in emergency situations. It helps conserve paper. Students and faculty can be reached anytime, anywhere and 7 days a week. Unused SMS in the user’s account can be added to his/her balance. SMSs are archived. Those interested to join a group can send a message to the group’s mobile number. Students’ mobile phone numbers are entered manually once and saved as a group. However, some faculty indicated that the allocated 200 free SMSs per month are not enough when class enrollees are more than 50. They also indicated that it is not possible to send a reply, a comment, or a query to the sender of the SMS. Sometimes the service cannot be used when it is under maintenance or when there is a technical problem. It is time-consuming to enter students’ mobile phone numbers manually particularly in large classes. Further results and recommendations are given.
Kemampuan Siswa Kelas VIII SMP Negeri 18 Banda Aceh Menyimpulkan Isi Berita yang Dibaca

This study examines "The Ability of Class VIII Students of SMP Negeri 18 Banda Aceh to Include the Readable News Content".The formulation of the problem were (1) How was to fill in "what" in the contents of the news they were reading?(2) What.(3) How not accepted "anytime" in the contents of the news that is read?(4)