Reviewerly/exHarmony huggingface dataset:
Area Identification Of Catchment Areas Using Far Sensing And Gis Applications In East Jakarta

The presence of catchment areas is needed. Besides its function for groundwater conservation, this area also is used to reduce flood risks. The need for houses also encourages people to use qualified Catchment areas to be used as houses and does not consider its natural factors. It happens a lot in suburban areas such as East Jakarta that in early 2020 this area becomes one of the most affected areas due to the flood in DKI Jakarta. Due to the world pandemic, Covid-19, direct field research is hard to carry out, so this research using remote sensing applications and geographic information systems to identify areas that qualify as water catchment areas. In practice, it uses secondary data sourced from national institutions and agencies with direct access to the data. The results showed that 12,36% of the research areas did not meet the requirements as Catchment areas, 68,01% were sufficiently eligible, and 19,63% were highly qualified. However, in its utilization, only 22.06% of the total research area currently plays an active role as groundwater catchment areas because of the land cover dominated by built-up land. It can lead to various risks as flooding or a reduction in the volume of groundwater.
Data mining and knowledge discovery from electronic health records

The widespread use and continuing adaptation of electronic health records (EHRs) in healthcare has created an unparalleled opportunity to discover new medical knowledge. The range of this knowledge is unprecedented, encompassing treatment effectiveness, detailed patient population stratification, and causes of diseases, all which can lead to more personalized treatment. Data mining on top of EHR systems can help to end the “one-model-fits-all” treatment paradigm. These data can aid in tailoring treatment to the specific characteristics of the target patient, creating personalized medicine in the near future.
Audit Sistem Informasi Menggunakan Kerangka Kerja COBIT 4.1 Pada PT. Cindyani Tiwi Lestari

The development of information systems has had a significant impact on various companies. Information systems that have been implemented are used to support business activities. This is also done by PT. Cindyani Tiwi Lestari, a company that has been established since 2014, is a company engaged in procurement services, quality improvement and problem solving for various heavy equipment. In this study the authors wanted to know whether the information system governance set by PT. Cindyani Tiwi Lestari is in accordance with the company's vision, mission, goals and objectives. The audit that has been carried out uses the Cobit 4.1 framework, especially in the delivery and support (DS) domain, because this domain includes security, data integrity, operational facilities and smooth system management. The technique of collecting data was carried out by observation, interviews and questionnaires. From the results of this study, the antidote will be obtained at the level of maturity (maturity level) at PT. Cindyani Tiwi Lestari, especially in the DS domain, which on average is at 1,510, this means that the process of the procedures applied has been developed in such a way and provides recommendations to the company to carry out regular checks. periodically and continuously on data in information systems related to company business processes.
FPGA based CRC using LUT

Error detection is an inevitable stage in data transmission. The current scenario in networking environment is high speed data transmission. It is necessary to increase speed of CRC generation to synchronize with the challenging speed of transmitting data. The main objective of this paper is to design a CRC-256 code generator for large input data blocks to increase the effectiveness of CRC codes in error detection. FPGA implementation of CRC code generator could be done in two versions. The first version of the generator designed using linear feedback shift registers is studied. Identifying the serial architecture, a recursive formula the parallel design was derived. As the second version, an accelerated CRC-256 generator designed using an acceleration technique for CRC generation. The implementation of both the CRC-256 generators was carried out in Verilog hardware description language. Simulation and functional verification Xilinx Design Suite 14.2 and Vivado is utilised. A look table-based generator is designed to compare efficiency.
Indonesian - English Code Mixing: A Case Study of BIPA Learners.

ABSTRACT Rofiah, Hasanatur. 2019. Indonesian – English Code Mixing: A Case Study of BIPA Learners. Language and Literature Department, State University of Surabaya. Advisor: Lina Purwaning Hartanti. Keywords: code mixing, BIPA, BIPA learners, social influence, personal reasons. For such a long time there is large number of studies that focuses on bilingualism and multilingualism issues likewise code mixing. However, most of the studies gave their focus on the phenomenon of language mixing between the first and the second language. Contrasting from the most frequent focuses, this study focuses on code mixing issues happened between the second and the third language on the certain chosen subjects. Thus, it affects to the findings which somehow quite different to what most commonly found in other previous studies with similar topic. This study focuses on code mixing occurred in BIPA learners’ daily conversation. The research question proposed are: (1) what are the types of code mixing being used by BIPA learners of UNESA in the daily conversation, (2) what are the social factor that may influence the use of code mixing by BIPA UNESA learners, and (3) the reasons underlie behind the use of code mixing by BIPA learners. The main data were solely from the conversation between the researcher subjects and the subjects of this study which was recorded and transcribed. To collect the data, this study applied observation and interview which then analyzed and presented in a qualitative descriptive. The finding of this study shown that the most code mixing types occurred in BIPA learner’s utterances were insertion and alternation, yet the most dominant one was insertion. This study also disclosed that only several factors of code mixing influenced code mixing occurrence. Participant positioned as the first place of the main influencing social factor of code mixing, then followed by situation and act or topic of the talk. Code mixing between Indonesian and English was applied by BIPA learners because the very obvious main reason; the lack of Bahasa Indonesia comprehension. However, there also some other less dominant factors which appeared. Although they were studying Bahasa Indonesia the often mixed their utterances with English for they did not know certain terms in Bahasa Indonesia. However, prestige also turned out to be the next reason right after the main reason.
Scene Inversion Interferes with Meaning-based Guidance in Real-world Scenes

We have previously shown that meaning is correlated with where people look in scenes across a variety of tasks. To test for a causal relationship between scene meaning and attention we used a scene inversion paradigm. Inverting a scene makes a scene harder to identify and its object properties/relationships more difficult to extract (Kelley, Chun, & Chua, 2003; Epstein et al., 2006). Therefore, scene inversion should make it harder to extract scene meaning and we should observe a weaker meaning-attention association in inverted scenes relative to normally viewed scenes. The present study tested this hypothesis by examining how attention to meaningful scene regions is modulated by viewing real-world scenes from a normal and inverted orientation. Participants' (N=35) eye movements were recorded while they viewed 102 real-world scenes for 6 seconds each while performing a scene memorization task. In a within-subjects design, each participant saw half the scenes normally and half the scenes inverted, counterbalanced across participants, and presented in a random order. The spatial distribution of local semantic features for each scene was represented using human ratings of the informativeness of isolated scene patches (‘meaning map’; Henderson & Hayes, 2017). We then applied a logistic general linear mixed effects model to examine how a scene region’s meaning map value was related to its likelihood of being fixated in the normal and inverted scene conditions, with subject and scene treated as random effects. The results showed a strong dissociation with both an increased likelihood to look at low meaning scene regions and decreased likelihood to look at high meaning scene regions in the inverted scene condition relative to the normal scene viewing condition. This finding provides evidence for a causal relationship between scene meaning and attention and suggests scene meaning extraction is impaired by non-canonical viewpoints.
ACCURACY OF C4.5 ALGORITHM BASED GAIN AVERAGE VALUES IN PREDICTING STUDENT VALUES

C4.5 algorithm still has weaknesses in making predictions or classifying data if the classes used in large quantities can cause increased decision-making time. Then we need an approach to improve the performance of the C4.5 algorithm in the split attribute selection process is to use the average gain value that is applied to help predict students who will become the overall champion. In research conducted on Student Value is done by producing predictions from the C4.5 method by doing the highest level of accuracy that is good. From the results of the analysis that improving the performance of the C4.5 algorithm in the split attribute selection process is to use the average gain value applied. The success in predicting using the C4.5 method using Student Grades increased by 66.3%
Lip Detection and Tracking with Geometric Constraints under Uneven Illumination and Shadows

In the modern era, recent advancement in computer vision has led to emergent attention in lip reading.Indeed, lip-reading is used to understand speech without hearing it, and the process is mentioned as a lip-reading system.To construct an automatic lip-reading system, locating the lip and defining the lip region is essential, especially under different lighting conditions, significantly impacting the robustness of the lip-reading system.Unluckily, in previous studies, lip localization under illumination and shadow consideration has not been well solved.In this paper, we extant a local region-based approach towards the lip-reading system.It consists of four significant parts, firstly detecting/localizing the human face, mouth and lip region of interest in the first video frame.Secondly, apply preprocessing to overwhelmed the inference triggered by illumination effects, shadow and teeth appearance, thirdly create contour line using sixteen key points with geometric constraint and stored the coordinates of these constraints.Finally, track the coordinates of sixteen points in the following frames.The proposed method adapts to the lip movement and is robust in contrast to the appearance of teeth, shadows, and low contrast environment.Extensive experiments show encouraging results and the proposed method's effectiveness compared to the existing methods.
Crosslingual Embeddings are Essential in UNMT for distant languages: An English to IndoAryan Case Study.

Recent advances in Unsupervised Neural Machine Translation (UNMT) has minimized the gap between supervised and unsupervised machine translation performance for closely related language-pairs. However and the situation is very different for distant language pairs. Lack of overlap in lexicon and low syntactic similarity such as between English and IndoAryan languages leads to poor translation quality in existing UNMT systems. In this paper and we show that initialising the embedding layer of UNMT models with cross-lingual embeddings leads to significant BLEU score improvements over existing UNMT models where the embedding layer weights are randomly initialized. Further and freezing the embedding layer weights leads to better gains compared to updating the embedding layer weights during training. We experimented using Masked Sequence to Sequence (MASS) and Denoising Autoencoder (DAE) UNMT approaches for three distant language pairs. The proposed cross-lingual embedding initialization yields BLEU score improvement of as much as ten times over the baseline for English-Hindi and English-Bengali and English-Gujarati. Our analysis shows that initialising embedding layer with static cross-lingual embedding mapping is essential for training of UNMT models for distant language-pairs.
Web Page Interactions I

Now that you know how to install the Protractor tool and uniquely locate elements on a web page, the next step is to interact or perform actions on the located elements. In this chapter, you see how to perform various actions on the located elements in a web page. You learn various API commands to interact with these elements and how Protractor implements them with ease. You about learn the following.
The Institutional Design Of The Governance Of Waste Water Domoestik Case Study Of Regional Water Company Tirtaweing The City Of Bandung

The research aims to study about the design of the institutional governance of domestic waste water, case study of regional water company Tirtawening city Bandung. The approach of research used in this study is using a qualitative descriptive approach, the Technique of data collection is done through observation, interview, document study to gather information related to the management of domestic waste water in the regional water company Tirtawening city Bandung. The results of research on the institutional design of the governance of domestic waste water regional water company Tirtawening city Bandung current needs to be done strengthening institutional governance is better again, so that the strategy adopted is through the institutional arrangement in the form of restructuring the organization to pay attention to organizational culture, leadership and structure of a slender, flexible, responsive, and efficient.
Measuring the saliency of an invisible visual feature and its interaction with visible features

A single object presented to one eye among many other identical objects presented to the other eye – an ocularity singleton – is salient to attract visual attention automatically. Saliency from ocularity contrast helps rapidly localize the foreground, especially in 3D visual scenes. However, unlike saliency by other feature dimensions, e.g., color (C) and orientation (O), uniqueness by ocularity (E, eye-of-origin) alone is perceptually invisible, making it difficult to be quantified. I.e., the reaction time to detect an ocularity singleton – RT(E) – remains unknown. Quantitative measures could help further investigate the interaction between saliency by ocularity and by other features, unfolding its neural mechanisms. In the current study, RTs were measured in a search task for a unique bar among many background bars with identical C, O and E features. The target bar was unique in either C or O alone, or unique simultaneously in two or three feature dimensions: CO, CE, EO, CEO. Importantly, with a quantitative model derived from the V1 Saliency Hypothesis (V1SH), which links saliency with neural activities of primate V1, RT(E) was then robustly calculated from RT(C), RT(O), RT(CO), RT(CE), RT(EO) and RT(CEO). Furthermore, by V1SH, whether RT(CE) is shorter than the RTs of the winner of a race model involving RT(E) and RT(C) reflects whether there are V1 neurons tuned conjunctively to both E and C – monocular neurons tuned to color – that contribute to saliency. Analogously, RT(EO) sheds light on monocular neurons tuned to orientation. We show that RT(CE) and RT(EO) are shorter than that of the race winner between single-feature RTs, suggesting a contribution by CE and EO neurons. However, this applies only to search among red rather than green background bars, suggesting an intrinsic color asymmetry for saliency interaction with ocularity.
Geographic Data Framework Approaches and Studies on Substantial Metal Contamination in Waterways

Geographic data framework programming is valuable in concentrating hefty metal contamination in streams by gathering information concerning the grouping of HMs in the water, silt, and suspended particles. GIS programming makes it simpler to deal with a voluminous measure of information that is hard to manage on paper. GIS is accordingly helpful in arranging and dynamic. By utilizing GIS we can without much of a stretch update the data that is hard to do in a paper-based arrangement. GIS programming is utilized for digitization of land use map, layers of waste example, HM grouping of the reviewed region, and geochemical guides of the HMs (Ni, Cu, Zn, Cr, Cd, and Pb). GIS helps in getting data in regards to the beginnings of HM contamination in water and its destructive impacts in city regions, farming, and other land units.
Comparative Analysis of the Exercise Flow, EEG and PPG Following the Senior Citizens’ Yoga Participation Experience

The purpose of this study was to examine and understand the effect on the exercise flow, electroencephalogram (EEG), and the photoplethysmography (PPG) following the senior citizens’ yoga participation experience. The subjects of this study were 19 senior citizens living in City I who voluntarily agreed to participate in the study, who were classified into those who are experienced in yoga (n=9) and those who were not experienced in yoga (n=10). The yoga exercise program lasted 60 minutes. After the yoga exercise program was completed, the EEG and PPG were measured, and the exercise flow survey questionnaires were prepared. As for the data processing method, the SPSS 23.0 Version for Windows was used to conduct the independent t-test, and the following results were secured. First, there are differences in the exercise flow depending on whether they were experienced in the yoga participation, yet they were not significant. Second, there were significant differences in L-Beta, M-Beta, H-Beta, Gamma, and the brain health indicators of Brain Stress and Brain Score (p<.05), depending on the experience of the senior citizens participating in yoga. Third, there were significant differences in HRV-INDEX, parasympathetic neuronal activities, and autonomic neuronal activities (p<.05), depending on the experience of the senior citizens participating in yoga. As a result of this study, it was apparent that there were differences in the EEG and PPG depending on whether the senior citizens were experienced in the yoga participation, and such results can be expected to serve as the basic data for the research of the ways to participate in the sustainable exercise along with the intent to exercise.
Mobile learning en la asignatura de Técnica e interpretación del instrumento en el Conservatorio Superior de Música Andrés de Vandelvira (II)

espanolEl uso del mobile learning tiene cada dia mas aceptacion en nuestro pais, aumentando el uso de esta tecnologia educativa ano a ano. Las ensenanzas superiores de musica no estan exentas de este proceso, aunque la investigacion en este ambito es sensiblemente inferior al de otros. Este estudio intenta dar respuesta a esta carencia analizando, desde una perspectiva local, el uso y preferencias sobre esta herramienta en el Conservatorio Superior de Musica Andres de Vandelvira de Jaen. EnglishThe use of mobile learning is increasingly accepted in our country, increasing the use of this educational technology every year. Higher education in music is not exempt of this process, although research in this field is significantly inferior to that of others. This study tries to give an answer to this lack by analyzing, from a local perspective, the use and preferences about this tool in the Conservatory of Music Andres de Vandelvira of Jaen.
Critical Perspectives on Public Systems Management in India Through the Lens of District Administration, Amar K. J. R.Nayak and Ram KumarKakaniRoutledge: New York/London, 2021, 325 pp. (including index), $165 (hardback), ISBN 9780367540234

Public AdministrationVolume 99, Issue 4 p. 876-878 REVIEW Critical Perspectives on Public Systems Management in India Through the Lens of District Administration, Nayak, Amar K. J. R. and Kakani, Ram Kumar Routledge: New York/London, 2021, 325 pp. (including index), $165 (hardback), ISBN 9780367540234 Zubair Nazeer, Corresponding Author Zubair Nazeer zubairmalik.2009@gmail.com orcid.org/0000-0001-8049-9144 Correspondence Zubair Nazeer, Centre for Distance and Online Education, Jamia Millia Islamia, New Delhi 110025, India. Email: zubairmalik.2009@gmail.comSearch for more papers by this author Zubair Nazeer, Corresponding Author Zubair Nazeer zubairmalik.2009@gmail.com orcid.org/0000-0001-8049-9144 Correspondence Zubair Nazeer, Centre for Distance and Online Education, Jamia Millia Islamia, New Delhi 110025, India. Email: zubairmalik.2009@gmail.comSearch for more papers by this author First published: 08 September 2021 https://doi.org/10.1111/padm.12783Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume99, Issue4December 2021Pages 876-878 RelatedInformation
DEVELOPING COMIC MEDIA ABOUT HUMAN INTERACTION WITH THE ENVIRONMENT TO IMPROVE CRITICAL THINKING SKILLS

Students' critical thinking has not been maximally trained in learning since learning activities are only memorizing to meet the demands of passing the assessment. Students are less able to understand, build, and criticize arguments about a problem, especially in social studies learning. This study aimed to determine the feasibility of comic media material about human interaction with the environment to improve the critical thinking skills of fifth grade students. This type of research was research and development (Research and Development) with a 4D model. This research was conducted online using Zoom platform, Google forms, and Ms. Teams that was carried out synchronously and asynchronously due to the Covid-19 pandemic. Data were collected through the expert validation stage and observation sheets, student response questionnaires and critical thinking tests (pretest and posttest) for the teacher and student activity. Furthermore, the data were analyzed by quantitative and descriptive techniques. The results showed that: (1) comic media was in the very feasible category with a percentage of 82%, (2) it was practical based on teacher activity observations with a percentage of 94% with very active category, 95% for student activity with very active category and student response questionnaires was 93% with very good category, (3) it was effective based on the result of N-gain on the critical thinking test, which was 0.53 (medium category). Thus, comic media in social studies learning was declared valid, practical and effective in improving students’ critical thinking skills at fifth grade of elementary school.