Reviewerly/exHarmony huggingface dataset:
The effects of social media use and school culture on students learning outcomes junior high school 01 of kisam ilir sub-district

This research is motivated by conditions among teachers. frequently use social media. The research objective was to determine the effect of using social media and school culture on student learning outcomes at Junior High School 01 Kisam Ilir, Muaradua Kisam District. This research uses quantitative methods. The population is 172 people and the research sample is 90 respondents. Data collection uses questionnaires and documentation of student learning outcomes which are then tested using the SPSS version 2.5 program. Hypothesis testing at the 5% significance level using the t-test, the conclusion of this study H1 is rejected, this shows that there is no influence between variable X1 on variable Y. For H2 is accepted, it shows that there is an influence between variable X2 and variable Y by 97%. To test the effect of variables X1 and X2 on Y simultaneously, the F test is used which results in H3 are rejected. The implication of this research is to cultivate social media in the school environment to support learning achievement.
From Classical to Colored Multi-Agent Path Finding

Multi-Agent Path Finding (MAPF) deals with the problem of finding collision-free paths for a set of agents moving in a shared environment, while each agent has specified its own destination. Colored MAPF generalizes MAPF by defining groups of agents that share a set of destination locations. In the paper, we evaluate several approaches to optimally solve colored MAPF problem, namely, a method based on network flows, an extended version of conflict-based search, and two models using Boolean satisfiability. We also investigate methods for obtaining lower bounds on optimal solutions based on constraint and continuous relaxation techniques.
Cataloging and Metadata Committee – Music Library Association

"Cataloging and Metadata Committee – Music Library Association." Technical Services Quarterly, 36(2), pp. 215–216
Deep Feature Autoextraction Method for Intrapulse Data of Radar Emitter Signal

Concerned with the problems that the extracted features are the absence of objectivity for radar emitter signal intrapulse data because of relying on priori knowledge, a novel method is proposed. First, this method gets the sparse autoencoder by adding certain restrain to the autoencoder. Second, by optimizing the sparse autoencoder and confirming the training scheme, intrapulse deep features are autoextracted with encoder layer parameters. The method extracts the eigenvectors of six typical radar emitter signals and uses them as inputs to a support vector machine classifier. The experimental results show that the method has higher accuracy in the case of large signal-to-noise ratio. The simulation verifies that the extracted features are feasible.
THE EFFECTIVENESS OF TASK BASED LANGUAGE TEACHING IN TEACHING WRITING

The aim of this study was to see the effectiveness of Task-Based Language Teaching in Teaching Writing. Writing is very important for students because they can express themselves in writing form and being brave to state their own opinions. Many English teacher got some problem in teaching writing, the teacher must choose a strategy which is suitable on the students conditions. Not only speaking ability that must be taught and applied in the class but also writing ability. The data of this research was students scores in writing procedure text. The population of this study were the first grade and the sample was 31 students of smp berea tondano in academic year 2017/2018. The research used one group pre-test and post-test experiment. The result showed that there was an increase between the pre-test (62,40) and tghe post-test (67,60). In this research, the research used quantitative experimental research as design of this research. Then, the research identified and analyzed based on statistic calculation for getting good result accuratelty, completely and systematically. A teacher should be creative to use various strategy in english teaching moreover teaching writing. In choosing the strategy, the teacher should pay attention to the material will be given.
Implementasi Metode Hybrid AHP dan TOPSIS pada Sistem Pendukung Keputusan Pemilihan Lokasi Tempat Pembuangan Sampah Sementara

Temporary Waste Disposal Site (TPSS) is a place to collect waste from various community activities which will later be transported to the final disposal site by garbage trucks. There are many considerations in choosing a TPSS location, so the selection of a TPSS location is very important in supporting the collection of waste that will be transported to final disposal. The Jember Regency Environmental Service is an agency in charge of waste management, including the selection of TPSS locations. Choosing the location of TPSS so far is still manual, where manual selection cannot be separated from human error, so that choosing the location of TPSS is not accurate can cause new problems in the community. In addition, there is no standardized assessment system in the TPSS selection process, so a decision support system is needed that can be used to assist the process of selecting the best TPSS location recommendations. In making this research system, we implemented the hybrid method of AHP and TOPSIS. Where the AHP method is used to determine the weight of the criteria while the TOPSIS method is used for the selection process for TPSS candidates.
Estudio comparativo de diferentes estrategias de aprendizaje basado en juegos: rendimiento emocional de maestros en formación durante el aprendizaje de las ciencias

The Bologna process has modify the roles in the university classroom. Today the student is the main player of the educational process while the teacher guides this process considering the affective domain through different teaching methodologies. This study analyses the emotional performance of 178 prospective teachers after the implementation of different game-based learning strategies for teaching Science. A paradigm shift is proposed in the investigation of the affective domain of students: to analyze the physiological response of emotions, in addition to knowing their valence (positive or negative), it is proposed to examine the degree of activation in the student.
Modeling the effects of contact-tracing apps on the spread of the coronavirus disease: mechanisms, conditions, and efficiency

This study simulates the spread of the coronavirus disease (COVID-19) using a detailed agent-based model and the census data of Japan to provide a comprehensive analysis of the effects of contact-tracing apps. The results reveal some crucial characteristics of these apps. First, with regard to contacts of those diagnosed with COVID-19, the apps that require them to be quarantined upon receiving an alert are successful in achieving containment; however, the apps that require them to get tested have a limited curve-flattening effect. Second, the former category of apps perform better than the latter because they quarantine those who are infected but have not become infectious yet; these are individuals who cannot be detected by the current testing technology. Third, if the download rate of the apps is extremely high, the apps that require quarantine achieve containment with a small number of quarantined people, thereby indicating high efficiency. Finally, given a fixed download rate, increasing the number of tests per day enhances the effectiveness of the apps, although the degree of improved effectiveness is not proportional to the change in the number of tests.
An Autonomous Behavior Switching Method for Indoor Mobile Service Robots

The motion planning for human-robot coexisting scenarios requires indoor service robots to autonomously optimize their behaviors by comprehensively considering the constraints of the corresponding service situation. Those constraints include the semantic map of the workplace, desired optimization objective, human's comfort feelings, etc. Due to the constraints of different service situations shall differ from each other, the improvement of indoor service robots' ability of autonomous decision-making is key to the motion planning for human-robot coexisting scenarios. This paper designs a ROS-based autonomous behavior switching method so that a robot can switch its motion planning algorithms according to different service situations. Simulation results verified that the designed method made the robot switch its motion planning algorithms without human's intervention.
Putting people in context: N190 responses to bodies in natural scenes

The N190 is a body-sensitive ERP component that responds to images of human bodies in different poses. In natural settings, bodies vary in posture and appear within complex, cluttered environments, frequently with other people. In many studies, however, such variability is absent. How does the N190 response change when observers see images that incorporate these sources of variability? In two experiments (N=16 each), we varied the natural appearance of upright and inverted bodies to examine how the N190 amplitude, latency, and the Body-Inversion Effect (BIE) were affected by natural variability. In Experiment 1, we varied the number of people present in upright and inverted naturalistic scenes such that only one body, a subitizable number of bodies, or a “crowd” was present. In Experiment 2, we varied the natural body appearance by presenting bodies either as silhouettes or with photographic detail. Further, we varied the natural background appearance by either removing it or presenting individual bodies within a rich environment. Using component-based analyses of the N190, we found that the number of bodies in a scene reduced the N190 amplitude, but didn’t affect the BIE (Experiment 1). Naturalistic body and background appearance (Experiment 2) also affected the N190, such that component amplitude was dramatically reduced by naturalistic appearance. To complement this analysis, we examined the contribution of spatiotemporal features (i.e., electrode × time point amplitude) via SVM decoding. This technique allows us to examine which timepoints across the entire waveform contribute the most to successful decoding of body orientation in each condition. This analysis revealed that later timepoints (after 300ms) contribute most to successful orientation decoding. These results reveal that natural appearance variability affects body processing at the N190 and that later ERP components may make important contributions to body processing in natural scenes.
한국 문화 교육을 위한 ‘누워서 떡 먹기’의 문화 요소 고찰

This study examined the process of the formation and change of the proverb ‘누워서 떡 먹기(Eating a rice cake while lying down)’ by analyzing the figurative structure before then extracting the cultural elements contained within it. This study suggests measures for educating on aspects of Korean culture. The proverb ‘누워서 떡 먹기(Eating a rice cake while lying down)’ was originally used in the form of ‘If you eat a rice cake while lying down, the powdered soybean would fall down’. The ‘rice cake’ and the action of ‘eating while lying down’, which is metaphorically expressed in the proverb, implies various cultural elements, such as food culture, ritual culture, and sedentary life culture of Korean people. Examining the social reality wherein the proverb is used in relation to the metonymic meanings of proverb, the original proverb was closely related to an agriculture-centered, labor-based, hierarchical society. After the form was changed to ‘Eating a rice cake while lying down’, the meaning also changed, reflecting the social context of routinized rice cake eating after the status system disappeared. Lastly, this study suggested the measures for proceeding a culture class according to Moran’s culture learning steps, by using various cultural elements extracted from the proverb. (Sangji University)
Here it comes: Working memory is effectively 'flushed' even just by anticipation of an impending visual event boundary

Though visual input arrives in a continuous stream, our perceptual experiences unfold as a sequence of discrete events. This form of visual event segmentation has important consequences for our mental lives. For example, memory is disrupted not only by elapsed time, but also by crossing an event boundary. Even an activity as simple as walking through a doorway can effectively 'flush' memory (just as one might empty a cache in a computer program), perhaps because this is when the visual statistics of our local environments tend to change most dramatically -- and it may be downright maladaptive to hold on to now-obsolete information. But just when does this 'flushing' occur? At the very moment we cross the boundary? When we encounter new post-boundary information? Here we provide what may be a surprising answer: even just the *anticipation* of an impending event boundary is sufficient to flush memory. Observers viewed an immersive 3D animation in which they walked down a long virtual room. Before their virtual walk, they saw a list of pseudo-words, their recognition memory for which was then tested immediately after the walk ended. Two of the conditions were inspired by past work: during their walk, some observers passed through a doorway, while others traversed the identical path through a room that had no such event boundary. Critically, we also tested a third condition, in which memory was probed just before the observers would have crossed through the doorway -- while carefully equating for elapsed time by manipulating the doorway's location. Relative to the baseline no-doorway condition, we observed reliable memory disruptions in *both* the 'doorway' and 'anticipation' conditions -- and additional control experiments confirmed that this was due to anticipation of the event boundary (and not just surprise). Visual processing thus *proactively* flushes memory by anticipating future events.
Identity and Access Management

In this chapter, we are going to learn about one of the fundamental building blocks of cloud-native security – identity and access management. After reading this chapter, you will be able to design secure access control solutions for your Azure administrative and application access.
Comment on “A Gibbs Sampler for a Class of Random Convex Polytopes” by P.E. Jacob, R. Gong, P.T. Edlefsen and A.P. Dempster

"Comment on “A Gibbs Sampler for a Class of Random Convex Polytopes” by P.E. Jacob, R. Gong, P.T. Edlefsen and A.P. Dempster." Journal of the American Statistical Association, 116(535), pp. 1204–1205
Investigation of Crop Water Requirement and Irrigation Schedules of Maize Crop in Addis Zemen District, Amhara Region, Ethiopia.

The North East and South East side of the country have limited water resource that is the cause of reducing precipitation patterns would significantly affect livestock production and potentially food security. Recently drought risk has affected high land areas and trends suggest that the risk has been increasing in Ethiopia. The annual rainfall across the country has fluctuated significantly which indicates that high seasonal anomalies in rainfall- a major contribute of food intensity. GIS is an important tool that can be used for optimal allocation of water resources of an irrigation project. CROPWAT 8.0 and CLIMEWAT 2 Tool window support dissection technology has been done identify the analysis of evapotranspiration, crop water requirement, irrigation water need and irrigation schedule in Addis Zemen, Amhara region, Ethiopia. Several input data (temperature, humidity, and wind speed) were used to calculate the reference evapotranspiration by Penman-Monteith method was 3.89mm/day. Crop and irrigation water requirement analysis in CROPWAT plat form were 476.8 and 460.9mm/dec respectively. Crop water requirement was categorize under very low sensitive (early stage), low sensitive stage (late stage) high sensitive stage (develop stage) and very high sensitive (middle stage). The irrigation water need throughout all growing season was 456.4mm. Irrigation was scheduled from October 9, 2021 to February 27, 2021.
STUDI TENTANG SISTEM PENANGKAL PETIR PADA BTS (BASE TRANSCIEVER STATION) DI PT. TELKOMSEL BANDA ACEH

ABSTRACT STUDY LIGHTNING PROTECTION SYSTEM AT BTS (BASE TRANCEIVER STATION) IN PT. TELKOMSEL BANDA ACEH By KHUSNUL KHATIMAH 1504005010032 Lightning causes disturbance to electric power system. Mechanism of disturbance in instruments consist of resistive, capasitive, and inductive coupling. Requirement of lightning protection use classification area of the structure or calculation with thunderstorm days parameter, Ng, Nd, and Nc. Lightning protection must consist of external protection, internal protection, and grounding system. Methods to determine air termination are meshed size, angle protection and rolling sphere method. To optimize lightning protection installation, protection area divide into several parts which is know as lightning protection zone. Lightning proctection system which is installed in BTS (Base Transceiver Station) must be increase base on rolling sphere method analysis. Keywords: Lightning protection system, lightning effect, rolling sphered method, BTS.
The Effect of Child Care Teachers' Happiness Flourish and Fellow Teachers' Emotional Support on Creative Role Performance

The purpose of this study is to investigate the effects of emotional support of child care teachers on creative role performance. For this study, data of 270 childcare teachers working at daycare centers located in Chungcheongnam-do and Gyeonggi-do were collected and multiple regression analysis was conducted using SPSS 22.0. The results of this study are as follows. First, the higher the flow and achievement of happiness fluency of child care teachers, the more positive the effect on creative role performance of child care teachers, and the more negative the effect on the meaningful factors. Emotion, relationship, and overall happiness fluency did not have an affect. Second, the higher the emotional support of fellow teachers, the more positive the effect on creative role performance of child care teachers. These results are expected to be useful data for education and various approaches to enhance the creative role performance of teachers who have an effect on the creativity development of infants and young children, which are core competencies in the 21st century.
Principles of formation of tolerant thinking of youth in the family

The following article deals with the formation of tolerant thinking of youth as it is important in strengthening the state policy. Today one of the most important issue is protecting youth’s security from various ideological alien ideas, and preparing them for life based on tolerance. Tolerance is one of the most essential features of a secular state. But the scientific answer to the question of what tolerance is, what is its modern and traditional essence, is one of the problems facing society and awaiting its own scientific solution.
Time-Space Lower Bounds for Two-Pass Learning.

A line of recent works showed that for a large class of learning problems, any learning algorithm requires either super-linear memory size or a super-polynomial number of samples [11, 7, 12, 9, 2, 5]. For example, any algorithm for learning parities of size n requires either a memory of size Ω(n2) or an exponential number of samples [11].All these works modeled the learner as a one-pass branching program, allowing only one pass over the stream of samples. In this work, we prove the first memory-samples lower bounds (with a super-linear lower bound on the memory size and super-polynomial lower bound on the number of samples) when the learner is allowed two passes over the stream of samples. For example, we prove that any two-pass algorithm for learning parities of size n requires either a memory of size Ω(n1.5) or at least 2Ω([EQUATION]) samples.More generally, a matrix M : A x X → {-1, 1} corresponds to the following learning problem: An unknown element x ∈ X is chosen uniformly at random. A learner tries to learn x from a stream of samples, (a1, b1), (a2, b2) ..., where for every i, ai ∈ A is chosen uniformly at random and bi = M(ai, x).Assume that k, l, r are such that any submatrix of M of at least 2-k · |A| rows and at least 2-l · |X| columns, has a bias of at most 2-r. We show that any two-pass learning algorithm for the learning problem corresponding to M requires either a memory of size at least Ω(k · min[EQUATION]), or at least 2Ω(min[EQUATION]) samples.
Binary rewriting without control flow recovery

Static binary rewriting has many important applications in software security and systems, such as hardening, repair, patching, instrumentation, and debugging. While many different static binary rewriting tools have been proposed, most rely on recovering control flow information from the input binary. The recovery step is necessary since the rewriting process may move instructions, meaning that the set of jump targets in the rewritten binary needs to be adjusted accordingly. Since the static recovery of control flow information is a hard problem in general, most tools rely on a set of simplifying heuristics or assumptions, such as specific compilers, specific source languages, or binary file meta information. However, the reliance on assumptions or heuristics tends to scale poorly in practice, and most state-of-the-art static binary rewriting tools cannot handle very large/complex programs such as web browsers. In this paper we present E9Patch, a tool that can statically rewrite x86_64 binaries without any knowledge of control flow information. To do so, E9Patch develops a suite of binary rewriting methodologies---such as instruction punning, padding, and eviction---that can insert jumps to trampolines without the need to move other instructions. Since this preserves the set of jump targets, the need for control flow recovery and related heuristics is eliminated. As such, E9Patch is robust by design, and can scale to very large (>100MB) stripped binaries including the Google Chrome and FireFox web browsers. We also evaluate the effectiveness of E9Patch against realistic applications such as binary instrumentation, hardening and repair.
The Impact of Organizational Creativity on Organization Agility: The Moderating Role of Knowledge Sharing in Pharmaceutical Companies in Jordan

Purpose: This study aims to identify the effect of organizational creativity on agility in Jordanian pharmaceutical companies and explain the moderating role of knowledge sharing.Design/Methodology/Approach: To accomplish the study's objectives, a hypothetical model is presented to reflect the impact of the study variables using a model consisting of research hypothesis divided into four sub-hypotheses.A designed questionnaire has been developed for this purpose, distributed among workers in different supervisory and administrative positions from the upper and middle management in the researched companies through a targeted sample of ( 350) subjects.The data are analyzed using descriptive and analytical statistical methods and the Statistical Package for Social Sciences (SPSS).Findings: The analysis mainly shows that the entire dimensions of organizational creativity have reached high degrees of importance, according to the respondents' answers.It is also revealed that there is an impact of organizational creativity on its various dimensions in the Jordanian pharmaceutical companies.Practical Implications: The study recommends that companies establish concerned with creativity and organizational development to adapt and develop creative ideas which might help and back organizations to be developed in the light of sharing the knowledge which improves creativity in organizations and creates organizational agility, which is positively reflected on the organization, its performance, and its development.Originality/Value: The study depends on different dimensions by reviewing previous English and Arabic language studies using four organizational creativity dimensions, strategic view, encourage and embrace creativity, internal work environment, and organizational culture.