Reviewerly/exHarmony huggingface dataset:
Affordable Housing Using Smart Solutions

The grоwth оf Indiаn соnstruсtiоn is gоing tо ассelerаte tо fulfill (meet) the need оf future generаtiоn, time effeсtive аnd асhieving аdvаnсe teсhnique. The рарer bаsed оn use оf different smаrt sоlutiоns fоr рrоviding better living соnditiоns tо рeорle in аffоrdаble рriсe. Use оf Sоlаr Energy grid system tо reduсe the energy bills аs well аs use оf рreсаst teсhnоlоgy tо reduсe the соst оf соnstruсtiоn. Рreсаst соnstruсtiоn teсhnique enhаnсed the quаlity оf wоrk, sаve time, reduсed the соst оf соnstruсtiоn required fоr mаintenаnсe оf wоrk. The Sоlаr Grid Systems will helр рeорle tо generаte energy аnd suррly it tо mаin grid, reduсing their bill аs well аs in роssible future nullifying them. This рарer reviews аnd summаrizes the benefits аnd аdvаntаges оf smаrt оr eсо-friendly sоlutiоns in mаking аffоrdаble hоusings mоre eсоnоmiс.
A Hybridized Bat Algorithm for effective Task

The recently developed distributed framework Cloud Computing (CC) offers versatile and dynamically scalable low-cost computing services. In CC environment Task Scheduling (TS) is the key issues to be tackled to boost system performance and increase cloud satisfaction for customers. Advanced programming techniques should be introduced to ensure an efficient cloud mapping of tasks to fulfil the complex necessities of end-users applications. Having regard to a timing problem, unrelated MTs are responsible to perform individual tasks, is the key motivation behind this study. There are many subtasks to a mission. Only after completion of its predecessor subtask can a successor subtask be started. The subtasks may be carried out in the same machine or in another machine independently. It is known in advance how long each machine is run. Due to the continuous processing of other work, each computer has known release time (i.e., the time available to perform current tasks). We also considered two variants of problems for two separate objective functions in this research paper. The first version of the problem takes note of minimising the overall finishing time target while the second version considers minimising the Making-Time goal. In this paper we proposed an algorithm for hybridised bat optimization for this multi-target TS. Unlike current algorithms, an optimum solution can be sought by using fewer iterations. We have compared to determine the performance of this enhanced Bat Algorithm with the existing systems. The experiment conclude that the proposed procedureacts well in comparison with other TS algorithms.
ANALISIS SAINS SEBAGAI CARA BERPIKIR PADA BUKU TEMATIK SISWA KELAS V SD

Literacy of science is very important to be mastered by each individual to be able to adapt to the progress of science and technology in the future. One attempt to improve the ability of science literacy through the analysis of textbooks lessons. The type of research used is descriptive, by collecting data in the form of documentation study. The sample in this research is several pages of analyzed books taken in a random way using multistage sampling technique. The results show 21% of the book presents the aspect of science as a way of thinking. The aspect is presented on the entire theme of the book with various values. In themes 1 and 2 this aspect is often presented that is equal to 71%, and 51%. The following findings show that Book Y simply presents aspects of science as a way of thinking. In other words, Book Y is enough to emphasize material that supports the mastery of the process.
Analisis Deformasi Jembatan Akibat Banjir Bandang Berbasis Fotogrametri Jarak Dekat

Monitoring the deformation of objects in the natural disaster area is one of the anticipative steps to reduce losses. In this case, this is an attempt to implement mitigation for the safety and viability of the community. Until this time, many constraint factors in the process of obtaining information regarding the strength of the structure and the changes of shape and dimension (per time unit) of the objects, one of which is the high operational cost and the duration of data processing while using a conventional measuring instrument. Through this article, a fast, cheap, easy, and accurate alternative method to detect deformation of the bridge material structure due to flash flood is only by using a Digital Single Lens Reflex (DSLR) camera. The bridge’s structures were photographed and processed with proprietary software to obtain the retro-reflective coordinate of the target that has been evenly attached to the bridge surface as a reference point. From a series of periodic photoshoots conducted from July 2020 to July 2021, deformation of the bridge structure was successfully detected with a magnitude between 0.026 mm – 5.867 mm with a measurement accuracy level was 0.081 mm. With this measurement accuracy level, this system is able to detect the deformation of structures smaller than 0.1 mm, and even invisible deformation can still be detected. This article will explain the technique and methodology of deformation measurement quickly and accurately only with a DSLR camera.
Problems of Subject Raising Constructions among Yoruba ESL Learners

Raising is an upward movement that concerns structures whose derivation involves copy, merger, and deletion and movement operations in the Minimalist Program. The proficiency of Yorùbá ESL learners and speakers of English is hindered as a result of interference from the mother tongue and divergence in raising constructions. Thus, this study examines subject-raising constructions in English and Yorùbá to explicate the root cause of the problem and the extent to which Yorùbá learners of English could be affected. Chomsky’s copy-theory of movement is adopted as the theoretical framework. Data for both languages are drawn from syntax literature. The Yorùbá data are supported with introspection. Different types of subject raising such as subject-to-subject, object-to-subject raising and raising of the clause to the subject position are carefully studied.&#x0D; This study discovers that subject raising in English is different from what is permitted in Yorùbá. A raised element in Yorùbá often leaves behind a presumptive pronoun for convergence. While raising is permitted in non-finite structure in English, Yorùbá allows raising in a finite clause. Therefore, raising structures especially subject raising, are not easy for Yorùbá learners of English due to language variations. Thus, learners are forced to avoid the structure or misapply their LI knowledge on similar construction in the English language. It is concluded that teachers of English should be aware of these areas of difficulties for effective teaching and learning processes.
Understanding Activities

Your introduction to activities up until now has been focused primarily on using them as a vessel in which to learn about UI widgets and layouts, in the knowledge that they are computationally "cheap," the fundamental building block of Android UIs, and designed so that you can make and use as many as you like in your applications in full knowledge that Android the operating system will happily reclaim resources and keep your activities manageable.
Study of Clearness Index of Atmosphere over Eastern City of Nepal, Biratnagar

Solar radiation data are of great significance for energy harvesting. This paper’s main objective is to study clearness index of atmosphere over Biratnagar (latitude: 26.45° N, longitude: 87.27° E, altitude: 72 m a. s. l.), an eastern city of Nepal. Daily global solar radiation data are derived by using CMP6 pyranometer for one year period (2015). The monthly, annual and seasonal variations of global solar radiation, clearness index and visibility were analyzed. The annual average of global solar radiation (GSR), clearness index (KT) and visibility indices are found to be 11.37 ± 3.76 MJ/m2 /day, 0.37 ± 0.15 and 7.06 ± 5.56 km are respectively. In the study period, number of clear days (KT &gt;0.65) and number of cloudy days (KT &lt;0.34) are found to be 26 and 172 respectively. Study of clearness index of atmosphere and its dependence on meteorological parameters (such as maximum temperature, minimum temperature, rainfall, relative humidity, total ozone column and dew point) are used on agriculture, hydrology, and climate change. Finding of GSR and visibility helps for energy harvesting and aviation.
HANDLING VULNERABLE SCRIPT CODE IN WEB ENGINEERING

Abstract- Network protection in our everyday lives is becoming increasingly critical today. Since we cannot live without the Internet, it is important to have a good and security environment for networking. Cross site scripting (XSS) does, however, attack millions of websites. We can use XSS to insert malicious scripting code into apps and then return it to the customer side. If users are using the web browser to visit the injecting place of the malicious script code, it is directly run on the customer machine. The main words of XSS are commonly found in the JavaScript browser or on the server component to filter malicious code. However, it is difficult to collect all keywords in the detecting-list in order to prevent XSS attack. However, it is possible to create various forms of malicious scripting. It is also worthwhile for more people to work on XSS and find more ways to prevent XSS attacks.
DEVELOPMENT LEARNING MEDIA “STUDY ROOM” BASED OF E-LEARNING USING GOOGLE CLASSROOM ON SOCIAL STUDIES SUBJECTS IN ELEMENTARY SCHOOL

This study aims to determine the feasibility of developing learning media “study room” based of e-learning using google classroom on social studies subjects in elementary schoolfor class IV SD Negeri Bengbulang 02 through student responses and teacher responses to learning media “study room”, then knowing the effectiveness of learning media “study room” in improving results. students' learning in the cognitive domain in social studies subjects for class IV SD Negeri Bengbulang 02. The research was conducted using the Research and Development (R&amp;D) method. The sample used is the fourth grade students of SD Negeri Bengbulang 02 with a total of 20 students. The development procedure carried out follows the steps developed by Dick and Carry with the ADDIE step. Data collection techniques used are interviews, questionnaires, and tests. The data analysis techniques used were descriptive quantitative statistics, and quantitative inferential statistics which included prerequisite tests and paired sample t-tests. The results of this study are the Study Room learning media used in social studies subjects for class IV SD Negeri Bengbulang 02 with the feasibility of material experts, student responses and teacher responses, scores of 72, 119 and 48 categories are very good, respectively. The results of the student assessment with an average pretest score of 70.29 and posttest value of 99.12. Based on the results of the paired t-test in accordance with the test criteria, namely H0 is accepted if tcount ttable at the significance level = 0.05 and db= (n-1), for other t values H0 is rejected, it is known that the value of sig (2- tailed) of 0.001 0.05, then Ha is accepted and it is stated that there is a significant difference in the pretest and posttest values. The effectiveness of the e-learning based study room learning media using google classroom is seen through the students' pretest average score of 70.29 and the posttest average value of 99.12, so the students' posttest scores are greater than the students' pretest scores. Thus, it can be concluded that the learning media based on e- learning is effective on learning outcomes in the cognitive domain
DIGITALIZATION OF NEWS CONSUMPTION AND TRUST TOWARDS THE MEDIA

Objective of the study is to analyze interconnection between the digitalization of media news consumption and trust towards the media. The methodology of the research is based on a secondary analysis of previous research on trends in news consumption in the world, as well as on the systems theory of N. Luhmann. Research results. The main factors of digital transformation of news consumption and its current trends are identified and analyzed in the light of the systems approach proposed by Luhmann. In particular, the link between the logic of social networking platforms and their effects on news production and distribution are analyzed. Prospects of the study examination of the factors determining the process of news consumption digitalization is vital in scope of developing new approaches to solve the issues of fake news and polarization in modern digital spaces. Analyzes of these processes in frames of system approach will contribute not only development of practical solutions, but also new theoretical approaches of understanding contemporary digital transformations in society.
Pengembangan Lembar Kerja Peserta Didik (LKPD) Bahasa Indonesia pada Teks Narasi Berbasis Discovery Learning untuk Siswa Kelas VII SMP

The purpose of this study was to develop and describe the feasibility of student worksheets (LKPD) on discovery learning-based narrative texts for seventh grade students of junior high school. The research method used is the research and development method. Product validation which is assessed by experts from Lampung University lecturers and Indonesia language educators. The results of this study are LKPD identifying the elements and retelling the contents of the fantasy story text material, elements, structure, steps, individual assignments, group assignments, closing activities, and daily tests. The results of research on the development of Indonesia language worksheets on discovery learning based narrative text materials for sevent grade junior high school students are in accordance with the results with a percentage of 87,5% in the very appropriate category, linguists with a percentage of 91,6% in the very appropriate category, and educators with percentage 79,1% very decent category.
Data Mining Association Rules using Probabilistic Functions without Predefined Weights

Data mining is the procedure of identifying the important and relevant data from large heterogeneous databases. Data mining plays an important role because of its usage in various domains. The transaction in the data mining defines the profit of the items associated with it. Earlier algorithms were proposed to measure the w-support without assigning predefined weights to determine the important transactions using the HITS model. Significant items are extracted from the databases using the quality of the transactions. However, there is considerable overhead in computing the w-support, as it requires four to five iterations. In this paper, two algorithms are proposed which uses the Poisson distribution and Normal distribution while computing the w-support without using the pre-assigned weights. The Poisson distribution uses the probability mass functions whereas the Normal distribution uses the probability density function to compute the w-support. The experiments were executed on various standard datasets. The results of our proposed algorithms show a considerable decrease in normalization time to compute the w-support as compared to the HITS model. Hence our algorithms provide better performance with respect to execution time and a number of significant items.
Mixed High-Order Attention Network for Weakly- Supervised Semantic Segmentation

Existing weakly-supervised semantic segmentation methods using image-level annotation typically rely on Class Activation Map (CAM) to locate the object regions. However, the previous works concentrate only on the calculation of first-order attention and ignored the exploration of high-order attention on semantic segmentation tasks, resulting in the response maps generated by the classification network is only focusing on discriminative object parts. In this paper, we use high-order statistics mechanism to capture the fine-grained information in the picture, so that the classification network can also locate the detailed part of the object. We propose to add the mixed high-order attention module to the classification network to further enrich the attention information. Extensive experiments on PASCAL VOC 2012 dataset demonstrate this mechanism has excellent performance on weakly-supervised semantic segmentation.
Create a Mission‐Specific Resource Center

The Membership Management ReportVolume 17, Issue 2 p. 2-2 Member Services Create a Mission-Specific Resource Center First published: 31 December 2020 https://doi.org/10.1002/mmr.31648Read 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. Volume17, Issue2February 2021Pages 2-2 RelatedInformation
A Robust Framework for Person Identification using Multimodal Biometrics for Future Technology

Now a day’s security is very major aspect in every industry and personal life too. Various techniques of biometric are available with extraction of different features. Human body consist of many parts but in which few are very unique. The unique features can help in advanced biometric system development, but in future technologies needs robust and reliable techniques based on multimodal biometric. Hence this paper explains about multimodal robust framework personal identification using facial identity. More number of samples needs more accuracy and fast processing therefore deep learning with optical character recognition may use for this. The proposed system includes raspberry pi with python libraries and advanced packages. After execution of this personal identification using advanced tools a unique method with effective and efficient results appears. This paper helps to find the work done in this area and proposed system with hardware configuration setup details.
A Machine Learning-Based Approach for Efficient Cloud Service Selection

Cloud computing can be considered a revolutionizing invention of decay. The computing resources are externally supplied to the user with benefits of scalability, accessibility, pay-as-you-go, serverless, etc. With its ever-growing market, there is a multitude of cloud service providers (CSPs) with different offerings available to small and medium enterprises (SMEs) or users. Due to the availability of numerous CSPs with different offerings, it becomes complicated for the user to pick the right services. In the presented paper, a supervised learning-based model based on Random Forest Regressor is proposed. The proposed model has been trained for Multi Criteria Decision Making Methods (MCDM) methods such as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and Weighted Sum Method (WSM). The score obtained from these MCDM methods has been used to rank the services. Results show the acceptability of the proposed model in the cloud environment.
Efficient Dynamic Deployment of Simulation Tasks in Collaborative Cloud and Edge Environments

Cloud computing has been studied and used extensively in many scenarios for its nearly unlimited resources and X as a service model. To reduce the latency for accessing the remote cloud data centers, small data centers or cloudlets are deployed near end-users, which is also called edge computing. In this paper, we mainly focus on the efficient scheduling of distributed simulation tasks in collaborative cloud and edge environments. Since simulation tasks are usually tightly coupled with each other by sending many messages and the status of tasks and hosts may also change frequently, it is essentially a dynamic bin-packing problem. Unfortunately, popular methods, such as meta-heuristics, and accurate algorithms are time-consuming and cannot deal with the dynamic changes of tasks and hosts efficiently. In this paper, we present Pool, an incremental flow-based scheduler, to minimize the overall communication cost of all tasks in a reasonable time span with the consideration of migration cost of task. After formulating such a scheduling problem as a min-cost max-flow (MCMF) problem, incremental MCMF algorithms are adopted to accelerate the procedure of calculating an optimal flow and heuristic scheduling algorithm, with the awareness of task migration cost, designed to assign tasks. Simulation experiments on Alibaba cluster trace show that Pool can schedule all of the tasks efficiently and is almost 5.8 times faster than the baseline method when few tasks and hosts change in the small problem scale.
A Posthumous Contribution by Larry Wos: Excerpts from an Unpublished Column

Abstract Shortly before Larry Wos passed away, he sent a manuscript for discussion to Sophie Tourret, the editor of the AAR newsletter. We present excerpts from this final manuscript, put it in its historic context and explain its relevance for today’s research in automated reasoning.
A PROACTIVE APPROACH FOR DATABASE PERFORMANCE TUNING

The Oracle database is a trendsetter and highly tunable software product. Its very flexible to allow you to make small adjustments that affect the database performance. By tuning you can tailor its performance to best meet your needs. Performance tuning cannot be performed best after a system is put into production. To achieve performance targets of response time, and throughput, one must proactively analyze database design, implementation and tune ahead in the life cycle.
Students’ Interest and Cognitive Ability through the Implementation of Comic Media

This study aimed to determine the students' interest and cognitive ability through the implementation of comic media on the environmental pollution concept at one of Junior High School in Serang City, Indonesia. The method used in this study is a descriptive research. The subject in this study was class VII.2. The class was chosen because of the information from the subject teacher that it has students who are less active in learning and obtained the lowest average score of all class VII in the first semester. The data collection technique used non-test instruments in observation sheets and questionnaires to determine the students' interest. The test instrument was in multiple-choice questions and open-ended essay to determine the students' cognitive ability. The results showed students' interest as measured by observation and questionnaires were in the high category with 56% and 88%, respectively. The average value of the students' cognitive ability is 65.59, with a good category. It can be concluded that the implementation of comic media can foster students' interest in learning. The results of this study can be a suggestion for curriculum developers to use comics as an alternative media for an exciting learning process. Future studies can focus more on specific comic components that can attract students' attention in the learning process.