Reviewerly/exHarmony huggingface dataset:
Economic Burden of Malaria and Productivity of Farmers in Nigeria: Evidence from Ogun State

Malaria is one of the commonest tropical diseases plaguing rural African thus combating it has remained a major health and economic issue as highlighted in the Sustainable development Goals (SDGs).This study examined the effect of malaria on the productivity of cassava based farmers in Ogun state. The data for this study were collected from 338 farmers in Ogun State selected using multi-stage sampling techniques. Information gathered, which included socio-economic, institutional and farm-level factors, were analyzed using descriptive statistics, Total Factor Productivity (TFP) and regression model (at P-value ≤ 0.05). The result of the analysis showed that 72% of the farmers were susceptible to malaria. Average days of incapacitation due to malaria in the study area (proxy for malaria burden) were 12 days with estimated average annual per capita income loss of N 10,922.83 (approx. $30). Few farming households (20%) used mosquito nets to prevent malaria and most of them (53%) practice self-medication in treating malaria when sick. Majority (51%) of the farmers had productivity levels >1.0 and their level of productivity is influenced negatively by days of incapacitation due to malaria. Other factors which influenced productivity include level of education, farming experience, farmers’ access to credit facility and farm size. Thus, efforts should be directed towards policies and programmes that will further enhance farmers’ awareness of the need to prevent malaria especially with the use of mosquito nets and environmental sanitation. This will increase their potential to improve productivity sustainably.
Semi-supervised deep learning techniques for spectrum reconstruction from RGB images

In this thesis we introduce some techniques reaching close to state of the art performance in the topic of spectrum reconstruction while requiring in input only a few HS images or even pixels. We also show the importance of exploiting the physical model in the training pipeline to constraint the output and ease out the whole process.
Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention

Named entity recognition (NER) is an important task in natural language processing. It is an essential step for many downstream tasks, such as relation extraction and entity linking which are important for knowledge graph building and application. Existing neural NER methods are usually based on the LSTM-CRF framework and its variants. However, since the LSTM network has high time complexity to compute, the efficiency of these LSTM-CRF based NER methods is usually unsatisfactory. In this paper, we propose a fast neural NER model for Chinese texts. Our approach is based on the CNN-SelfAttention-CRF architecture, where the convolutional neural network (CNN) is used to learn contextual character representations from local contexts, the multi-head self-attention network is used to learn contextual character representations from global contexts, and the conditional random fields (CRF) is used to jointly decode the labels of characters in a sentence. Since both CNN and self-attention network can be computed in parallel, our approach can have higher efficiency than those LSTM-CRF based methods. Extensive experiments on two benchmark datasets validate that our approach is more efficient than existing neural NER methods and can achieve comparable or even better performance on Chinese NER.
ANALISIS PENERIMAAN DAN KEPUASAN PEMUSTAKATERHADAP SISTEM INFORMASI DI PERPUSTAKAANINSTITUT SENI INDONESIA SURAKARTAANALYSIS OF ACCEPTANCE AND SATISFACTION OF LIBRARY USERSTO SYSTEM INFORMATION AT THE LIBRARYOF THE INDONESIAN INSTITUTE OF ARTS AT SURAKARTA

This research is entitled Analysis of Acceptance and Satisfaction of Library Users to System Information at theLibrary of the Indonesian Institute of Arts at Surakarta . The purpose of the study is to test the acceptance andsatisfaction of library users using End User Computing Satisfaction Model (EUCS) developed by Doll and Torzhadeh(1998). Methods in this study using a quantitative approach, namely to examine a group of people, a particular objectwith the aim of making a systematic, factual and accurate description, description of the facts, properties, therelationship between the phenomena studied. Research subjects are end users information system at the IndonesianInstitute of The Arts (ISI) Library, Surakarta. System users the information in this study is a random potential user(respondent) encountered in the library and given a questionnaire consisting of 20 statements. The research variablesare variables in EUCS model that includes content, accuracy, form (format), ease of use (ease of use) and timelinessinformation (time) in the information system to support services in the ISI Library Surakarta. The results show that thelibrary information system has been received with both by the user and the user who feels the high benefit. The readerstates are quite satisfied using library information system. But on dimensions accuracy and speed (timeliness) libraryusers feel less satisfied with the performance information systems.
LibGuides: Recommended Reading: The Librarians Recommend ...

Need a more personal book recommendation? Take a look at what your librarians have been reading.
O comportamento do consumidor na era digital: informações em meios digitais e sua influência no processo decisório de compra dos consumidores de maquiagem do Rio de Janeiro

In the current context of the digital age, this paper proposes to investigate how information shared in virtual environments influences consumer purchasing decisions, using as a limitation the makeup consumers of Rio de Janeiro. The concepts of consumer behavior, decision making, the marketing area role, factors of influence and consumption in the digital age were discussed through bibliographic research, which served as a theoretical basis for field research. This field research was done through a quantitative approach, throughout a questionnaire, applied to 100 makeup consumers, in the first semester of 2019. The analysis of the data obtained indicated that the current makeup consumer is young, constantly connected, and accessing digital media. These consumers use the internet as their main source of information to guide their buying decision process. In conclusion, based on the data, the information available in virtual environments is currently the main source used by makeup consumers to assist their decision-making process. These young people seek out, mainly, the buying experiences from other consumers like them. This process does not invalidate, though, the information transmitted in real-life social groups. In addition, consumers are not active in sharing their experiences on the internet. It is worth emphasizing that this research is limited to a certain number of participants, and may express little representation in the makeup consumers group. Given the aforementioned, this study does not seek to exhaust the aspects of the theme, but to foster analysis and interest in the subject, and serve as a guide for future work.
STUDENTS’ NEEDS IN TEACHING METHOD USED IN PERKEMBANGAN PESERTA DIDIK SUBJECT FOR ENGLISH STUDY PROGRAM STUDENTS FACULTY OF TEACHER TRAINING AND EDUCATION AT JAMBI UNIVERSITY

ABSTRACT Diana Mar’atus Solikah 2019. Students’ Needs in Teaching Method Used in Perkembangan Peserta Didik Subject for English Study Progarm Students Faculty of Teacher Training and Education at Jambi University. Thesis. English Education Study Program. Faculty Teacher Traning and Education of Jambi University in Academic Year 2019/2020. The first supervisor is Masbirorotni, S.Pd., Msc.Ed. The second supervisor is Nely Arif, S.Pd., M.Pd. The purpose of this research was to investigate the needs of students in teaching method used in “Perkembangan Peserta Didik” course at English education students, faculty teacher training and education, Jambi University. The researcher employed mixed methods design. A questionnaire and interview were conducted to gather the data. The respondents of this research is second smesters students that consist of three class and ninety English education students at Jambi University and five out of those students were also interviewed. The findings of this research show that the second semester students of English education students at Jambi University prefered to be taught using the lecture method with English and Indonesian. The results of the resarch showed that the needs of English education students in “Perkembangan Peserta Didik” teaching method at Jambi University.Key word : need, perkembangan peserta didik, method.
Sensing Your Touch: Strengthen User Authentication via Touch Dynamic Biometrics

Mobile devices are increasingly used to store private and sensitive data, and this has led to an increased demand for more secure and usable authentication services. Currently, mobile device authentication services mainly use a knowledge-based method, e.g. a PIN-based authentication method, and, in some cases, a fingerprint-based authentication method is also supported. The knowledge-based method is vulnerable to impersonation attacks, while the fingerprint-based method can be unreliable sometimes. To make the authentication service more secure and reliable for mobile device users, this paper describes our efforts in investigating the benefits of integrating a touch dynamics authentication method into a PIN-based authentication method. It describes the design, implementation and evaluation of this method. Experimental results show that this approach can significantly reduce the success rate of impersonation attempts; in the case of a 4-digit PIN, the success rate is reduced from 100% (if only the PIN is used) to 9.9% (if both the PIN and the touch dynamics are used).
“The Use of Snowball Throwing in Teaching Students’ Writing Skill” (An Experimental Research at the Second Grade of SMPN 3 Warunggunung),

Shelvy Fitriana, SRN: 152301864, 2019. “The Use of Snowball Throwing in Teaching Students’ Writing Skill” (An Experimental Research at the Second Grade of SMPN 3 Warunggunung), “(Undergraduate Research Paper, Department of English Education, Faculty of Education and Teacher Training, The State Islamic University Sultan Maulana Hasanudin Banten). Adviser: As’ari, S.S, M.Si and Dr. Hj. Selnistia Hidayani, M.Pd.This research is conducted on the research questions: 1.) How is snowball throwing applied in teaching writing at second grade of SMPN 3 Warunggunung? 2.) How is the influence of using snowball throwing as teaching technique on students’ writing skill at second grade of SMPN 3 Warunggunung? The method used in this research is quasi experiment. The research conducted in the second grade (VIII) of SMPN 3 Warunggunung as the population and class VIII A consists of 25 students as experimental class and VIII B consists of 25 students as control class are taken as the sample. The result of the research shows that using snowball throwing has significant difference on students’ writing skill. It can be seen from the result that researcher has got the mean of the pre-test 57.6 and post-test score 77.36 from the experimental class and the pre-test score is 45.52 and post-test 62.52 from the control class. The writer got that to (t observation) is higher than tt (t table). The result of tt on significant 5% = 1,67 and 1% = 2,40. It indicates that to > tt or 5.5 > 1,67 and 5.5 > 2,40 so the null hypothesis (Ho) are rejected and the alternative hypothesis (Ha) is accepted that there is significant difference of using snowball throwing toward writing skill. From the result of the test, it can be concluded that snowball throwing can be applied in teaching learning process to improve students’ writing skill and also has good influence for students’ writing skill.Keywords: Snowball throwing, experiment, writing skill
Unsupervised real-time anomaly detection on streaming data for large-scale application deployments

Anomaly detection is the classification of data points that do not adhere to the familiar pattern; in previous studies there existed a need for extensive human interactions with either labelling or ...
Two Dimensional Flood Model In Cisanggarung River

Flood is one of several disasters that occurred almost every year in Indonesia. At least in the period of 2018 - 2019 there were 5291 disasters occurred in Indonesia and floods were ranked first with a total number of 1380 events (BNPB). The latest flood incident which took death victims happened on Cisanggarung River in 2016, all of the victims come from people who live near the river. From that incident, the community, especially the hydraulic engineers in Indonesia began to pay special attention to know about how flood might occur and the characteristics of flood in the river, moreover for rivers that have a close relationship with peoples life. This is a part of prevention and disaster mitigation. The downstream of Cisanggarung River often experiences floods and increases every year. Floods that occurred in 2017 caused many losses and victim, especially along the border of Cirebon and Brebes Regency. High rainfall intensity and the meeting between Cisanggarung River and Cijangkelok River Tributes is one of the causes. Therefore it is necessary to study a flood event so that in the future, it can reduce the affected area. This study discusses the maximum discharge, flood modelling, calculating the area, level, velocity and duration of flood inundation through inundation flood models using numerical modelling and re-simulation period. The data used in this study consisted of primary data and secondary data. Secondary data used are hydrological data, hydraulics data, DEM, and land use. While the primary data used are observational data in the form of Automatic Water Level Recorder (AWLR) and flood inundation in inundated locations. Both of hydrological model and hydraulic model will be calibrated by the primary data from the object study. Hydrological data processing is carried out to analyze the average discharge and analyze the flood discharge which used as an input of the hydraulics model. Then, the hydraulic model will be verified by the observation data of the flood mark that still can be seen in the study area. The final result of this study is a 2-D flood inundation model (Two Dimensional Model) with 10, 25, 50 and 100 return periods presented in the form of a flood inundation map. The Result of this study is not only flood model of Cisanggarung River but also the inundated area of some return period of flow which can be used as a basis to do risk management and give information which area should not use as resident area. Keyword: Flood, 2-Dimensional Model, Cisanggarung, Hydraulic
Compact Position-Aware Attention Network for Image Semantic Segmentation

In intelligent multimedia security, automatic image semantic segmentation is a fundamental research, which facilitates to accurately recognizing important targets from multimedia data and performing subsequent security analysis. Most existing semantic segmentation methods have made remarkable progress via modeling interactions between image pixels based on fully convolutional networks (FCN). However, they neglect the fact that semantic features extracted by FCN have poor ability to represent original image details, which always makes it hard to attend true positive relevant information within adjacent regions in spatial position for interactions modeling based methods. To tackle above problem, we take position information into account and adaptively model position relevance between pixels for enhancing local consistent in segmentation results. We propose a novel compact position-aware attention network (CPANet), containing spatial augmented attention module and channel augmented attention module, to simultaneously learn semantic relevance and position relevance between image pixels in a mutually reinforced way. In spatial augmented module, we introduce relative height and width distance to model position relevance based on self-attention mechanism. In channel augmented module, we exploit bilinear pooling to model compact correlation between pixels at any position across any channels. Our proposed CPANet can mutually learn accurate position and semantic of image pixels in a compact manner for improving semantic segmentation performance. Experimental results demonstrate that our approach has achieved the state-of-the-art performance in Cityscapes dataset.
PROBELAMTIKA PEMBELAJARAN SASTRA JAWA MODERN DI ERA TEKNOLOGI

The learning of modern Javanese literature faces many challenges in the era of technology that is increasingly rapid today. The rapid flow of technological development will certainly go hand in hand with the impact it has caused. All aspects of human life in this era will be integrated with technology, so that traditional or conventional systems will gradually be abandoned. The world of education also adjusts to existing developments. Learning models by utilizing technology also developed a lot. The ease of accessing information and the more varied methods of learning are the positive impacts that arise from technological developments like today. But the positive impact also goes hand in hand with learning problems still found. This study will describe the problem of learning modern Javanese literature  that is still found and the solution is sought. This research is descriptive qualitative research. Data collected using questionnaires with students who receive Javanese literature courses and literature studies. Based on the results of the study, the problems that arise in literary learning here are divided into five, namely 1) the low interest in reading students; 2) language that is difficult to understand; 3) difficulty  understanding literary theories; 4) Less innovative learning methods and 5) Curricula that have not been accommodated.
20 million URIs and the overhaul of the Finnish library sector subject indexing

Oral presentation at SWIB19 conference http://swib.org/swib19/programme.html#abs09 - video available at conference website.
A neural network using a scalar product and defining several solutions

The Hamming neural network is a very effective tool for solving discrete object recognition problems, the binary components of which are described using bipolar components, and the difference between the number of identical bipolar components of the vectors and the Hamming distance between them is used as a proximity measure. For a finer classification of binary objects (vectors), a number of Hamming distance extensions are used, using various affinity functions (proximity or interconnection) between binary objects. The article proposes modifications of the Hamming neural network, in which instead of the Hamming distance, other affinity functions between binary vectors are proposed. Figs.: 7. Tabl.: 2. Refs.: 8 titles.Keywords: neural network; Hamming distance; affinity functions between binary vectors; discrete objects.
Kemampuan Siswa Kelas V SDN dalam Gugus 3 Kota Sabang Menulis Kembali Cerita Rakyat yang Dibaca

This study aims at determining the ability of the fifth-grade students of state primary schools (SDNs) located in cluster 3 of Sabang City, Aceh; to rewrite folktales that are read, including the aspects of character, background, plot, language, and punctuation. The approach employed by this study is a descriptive quantitative approach. The population as well as samples in this study were 20 fifth-grade students of SDN 26 and 20 students of SDN 28 Sabang. The research data was collected by test techniques, in the form of assignments. Data is analyzed by quantitative descriptive analysis techniques, namely making a list of raw scores, calculating the average score of students, and classifying the results of the samples studied. The results of the study showed that the ability of the fifth grade students of SDNs in cluster 3 of Sabang City to rewrite the read folklore had not reached the specified value criteria. There are only 35% of students who have sufficient ability or score above 75, and many 65% of students do not have adequate ability who score below 75. This study also shows that of 40 students, only 3 students get a very good predicate with a score of 90, 30 students obtained a good predicate with a score of 65-85, and 7 students obtained a sufficient predicate with a score of 60.&#x0D;
The problem of training future teachers of Natural Sciences: analytical review

The reforming of school natural science education is part of the process aimed at updating educational systems, which has a general European tendency. The content orientation of the field representing natural sciences of general secondary education towards the formation of core competences and effective mechanisms of their introduction causes intensive changes in the training process intended for the future science teachers of the new formation. The component of natural education is biological education which is realized by studying Biology as a school course. Since natural knowledge in the process of external interaction purposefully influence the formation of schoolchildren’s natural outlook, this is the social order that determines the content of biological education and the potential within the education of a certain type of personality. Therefore, the new formats of biological education in the context of the New Ukrainian School are aimed at forming schoolchildren’s motivation for educational and cognitive activities, life competencies, and an active life position. The driving force facilitating the realization of innovations in biological education is a competent teacher as a subject of an innovative educational activity. In this case, the priority way in the professional training of future science teachers is the shift of emphasis from the amount of knowledge to the development of pedagogical interaction skills. This is the ability of the future specialist to work in a team, to negotiate, to make prudent decisions that makes him / her competitive. The basic condition for such an activity is the professional potential of the future teacher which manifests itself in his / her readiness for creative interaction with schoolchildren. The transfer of the study of Biology into the plane of the competence-based educational environment focuses educators’ attention on the person-centred approach to learning. The relationship between the teacher and the schoolchildren should be collaborative, in the course of which schoolchildren become not only the objects of influence, but also become participants of a joint activity. According to these approaches to teaching Biology, the interaction of the subjects of the educational process acquires organized forms of cooperation, the specific characteristic of which is the complementarity of the schoolchild and the teacher. The obviousness of the dialogical educational interaction contributes to the introduction of the elements of teachers’ / students’ creativity into the pedagogical process and motivates them to intellectual growth. Subjectivity as a paradigmatic feature of biology education lies in the pedagogical position of the teacher, since it is profession-oriented and determines the personalization of pedagogical interaction. Therefore, the subjective factor of the pedagogical activity of future teachers of natural sciences becomes a kind of trajectory of self-development and self-affirmation. Keywords: subject, competence-oriented teacher, pedagogical interaction, person-oriented environment, pedagogical communication.
Pragmática da interlíngua e pragmática instrucional: dois campos de pesquisa vibrantes e elucidativos

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