Reviewerly/exHarmony huggingface dataset:
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering

Videos often capture objects, their visible properties, their motion, and the interactions between different objects. Objects also have physical properties such as mass, which the imaging pipeline is unable to directly capture. However, these properties can be estimated by utilizing cues from relative object motion and the dynamics introduced by collisions. In this paper, we introduce CRIPP-VQA, a new video question answering dataset for reasoning about the implicit physical properties of objects in a scene. CRIPP-VQA contains videos of objects in motion, annotated with questions that involve counterfactual reasoning about the effect of actions, questions about planning in order to reach a goal, and descriptive questions about visible properties of objects. The CRIPP-VQA test set enables evaluation under several out-of-distribution settings -- videos with objects with masses, coefficients of friction, and initial velocities that are not observed in the training distribution. Our experiments reveal a surprising and significant performance gap in terms of answering questions about implicit properties (the focus of this paper) and explicit properties of objects (the focus of prior work).
The Analysis of Social Neuroscience Challenges Matrix Measurement for Sign Language Interpreter (JBIM) in Malaysia

The critical shortage of sign language interpreter (JBIM) in Malaysia has immensely affected more than 55,000 registered Deaf who live in the silence world. It is the result of the non-recognised status of JBIM as a profession and low public awareness on the accessibility of sign language interpreter (JBIM) services and the non-existent of accredited sign interpreter training program in Malaysia. Hence, the low new entry with high attrition rate in long term has damaged and post social challenges to sign interpreters industry. The objective of the study is to focus on the social neuroscience challenges identification by creating an exactness of measurement matrix to the situation. The methodology is qualitatively analyse the social neuroscience dimension of JBIM’s challenges in their practise by examining each phrases of interpreting in social context from message flow matrix and spatial struggle matrix. The major finding is that there are three phrases of social neuroscience challenges. Pre-entry industry challenges; during-interpreting 3 dimensional challenges with 4 competencies dimension, 5 quadrants social neuroscience challenges and 3 interpreting process challenges; post-graduate inspiration maintenance challenges. The contribution of the study after synthesize the major findings and the research literature is that a model of social neuroscience challenges analysis for sign interpreters (JBIM) has helped to identify the actual challenges with measurement matrix which could minimise the further damage to the industry at the same time to maximise the performance standard for sign interpreters in the industry. The interpreters engagement flow has gave a clear career path landscape of social neuroscience challenges for the pursuing of interpreting career. Many private institution step in to stabilize this critical situation by introducing intensive training program to include any interested party without taking into account the suitability of the candidate as part of the educational components has created the further drop of the quality of the sign interpreter. With the newly introduced challenges analysis model will help the private institute to identify the problems by achieving an effective interventions to the problem. The recommendation after this study is to present a policy review to the government concerning a systematic ways of sign interpreter training program by providing a new spectrum on the identification of the challenges of the sign interpreter that lead to the improvement of the current situation.
Technology toward more-than-human symbiosis

The research aims at analyzing the theme of human-nature interactions mediated by technologies from different perspectives and applying three lenses: the first one is more pragmatic and oriented by technological applications, and, thus, with relapses on design practices, while the other two are theoretical – decolonization and post-human feminism – and they provide a critical vision of the topics of interest from an ontological and epistemological point of view, with relapses on design theories. Therefore, the goal of the research is to provide a first draft of a framework, designed through a process of literature review and case studies analysis, that can stimulate more-than-human connections as collaborative and symbiotic processes between human and non-human agents, oriented by new perspectives upon technology.
Cinematic interpretation of psychoanalysis: to the difference between black-and-white and colour cinema

Proposed by V.V. Bibikhin comparative analysis of the poetics of On the Nature by Parmenides with early cinematography combines cinematography symbolism and avant-garde understanding, representing a kind of a laconic number of theoretical views on the causes of developing the expanded plot out of the story line or hidden plot. Cinema poetics here phenomenologically reflects the birth of literary fiction. These conceptions turn out to be combined by the Freudian concept of affect overcoming, that is incidental in traditional Freudianism, but fundamental for understanding the expressive gestures of early cinematography and principles of the plot creation. Parallels with other cinema avant-garde concepts allow to clarify how symbolization of the gesture, colour composition and cinematography minimum technical support could be conceived in perception raised on literature. Bibikhin сinema analytics specifies understanding of screen sensibility and colour in the literature and psychoanalysis symbolism tradition.
Next Generation Operating System based on Resource Governance Model

&lt;p&gt;The kernel is the core part of the operating system. At present, four types of kernels are widely available: monolithic kernels, microkernels, hybrid kernels, and exokernels. These kernel architectures are either too tightly-coupled, like monolithic kernels, put too many modules into the kernel, or too free, like exokernels, allow users to freely develop core features such as IPC, Virtual Memory, etc, or have no rules, like hybrid kernels, kernel modules organization is uncontrolled. In recent years, to solve these problems, resource management concept frequently appears in industry and academia. Although resource management concept makes resources in OSes orderly, no existing OSes or software systems can modify and extend management rules dynamically.&lt;/p&gt; &lt;p&gt;This paper proposes a resource governance model that places resources such as applications, hardware, and rules into the model. Through unified governance, the organization of resources is more orderly. At the same time, the model allows users to modify and extend resource management rules by separating rules from resources. In addition, it also ensures the security of key resources in OSes and high performance of rule execution. We believe that OSes will enter resource governance age from resource management age in the near future.&lt;/p&gt;
A Survey on Automated Sentimental Analysis of Twitter Data using Supervised Algorithm

Now a days as most of the people express their opinions and views on a particular topic, product or any other subject via social media, identifying the sentiment behind the statement has gained much significance. It is important to identify the statements that matter the most while someone is trying to know about a specific issue or product. In case of purchase of a product the buyer has the requirement of reading reviews that are sorted according to his requirements. While looking for cons of a product he wants to see all the negative reviews first and while looking for the pros of the product he wants start with positive reviews. Similar is the case with some national topic or a political scheme. As the data is enormous in size it cannot be analysed manually. We need a model that could perform sentimental analysis without human involvement. The Sentimental analysis involves few algorithms. In this model we are going to perform analysis using multiple algorithms such as Naivebayes, SVM, K-MEANS, KNN, Decision Treeand displaying performance comparisons between them (both accuracy and time taken). The GUI in this model in made much user friendly, the model is made flexible to be trained using any dataset as we can upload any dataset using the GUI developed and there is also a module where we can test the sentiment of custom input statement. The model can be used to analyse sentiment behind the statements and hence can be used in many real-time scenarios. One of application of this model is product reviews on shopping platforms so that the amount of negative and positive feedbacks can be seen by the new buyers. Another application may analyse sentiments that include political topics. As more and more people express their views through social media platforms, we can determine how the public’s opinion is towards a particular scheme or a particular political Leader..
Studentsâ€™ Anxiety and Motivation to Speak English at Islamic Boarding School

Background: &#x0D; This study was conducted to find out the correlations and influences of studentsâ€™ anxiety and motivation to studentsâ€™ speaking English achievement.&#x0D; Methodology: &#x0D; One hundred and thirteen students Islamic Boarding School of Nabil Husein Samarinda participated in this study. A stratified random sampling technique was used in this study. Foreign Language Classroom Anxiety (FLCAS) and Attitude Motivation Test Battery (AMTB) were used as instruments. Multiple Regression and Path Analysis were used as data analysis techniques to analyze the data.&#x0D; Findings:&#x0D; 80.4% of studentsâ€™ anxiety influenced to studentsâ€™ speaking English Achievement. The next finding showed that studentsâ€™ anxiety correlated to studentsâ€™ motivation at 94.7%. It indicated a strong correlation where the degree of correlation at 0.897. As well the studentsâ€™ motivation also affected studentsâ€™ speaking English achievement on the degree at 79.9%. The last finding showed that studentsâ€™ speaking English was affected by studentsâ€™ anxiety and motivation simultaneously.&#x0D; Conclusion: &#x0D; This article explains how the studentsâ€™ anxiety and motivation influence speaking English achievement.&#x0D; Originality: &#x0D; This research was conducted to find out the correlations and the influences of studentsâ€™ anxiety, and studentsâ€™ motivation to studentsâ€™ speaking English achievement.
Anomaly Detection in Autonomous Deep-Space Navigation via Filter Bank Gating Networks

This study investigates methods for autonomous navigation of a deep-space spacecraft where one-way radiometric and on-board optical information are fused to create a fully informed state estimate. The specific focus is on using filter bank methods (i.e., Multiple Model Estimation [MME] and Mixture of Experts [MoE]) to detect when measurement and/or dynamical mis-modeling occurs. We develop a new χ2-based gating network for a filter bank that may be used to identify poorly performing filters (i.e., those with low weights), which may be used as a signal for mis-modeling in the system. In addition to defining and deriving this new weighting scheme, numerical simulations based on NASA’s InSight mission demonstrate this new algorithm’s performance with and without measurement and dynamical mis-modeling present.
Influencing Choice of Private Maritime University: Enrolment factors for cadets at Maritime Educational Institutions using Digital Marketing

Purpose: This study's goal was to identify the variables that affect cadet’s decisions in maritime educational institutions. Design/Methodology/approach: One hundred cadets in the marine engineering programme has participated in the study as respondents. The study made use of the non-probability sample method and the Likert five scale evaluation. The self-administered questionnaire was created following validation by marine engineering experts. For gathering data, the questionnaire was emailed to the cadets. The T-Test was used to ascertain the elements that influenced cadets' university selection. Findings: Most students polled and recommended that friends and family were among the most crucial considerations in determining which university they would attend. Practical Implications: In general, all participant groups concurred that social media, particularly, Instagram, Facebook, and Snapchat, should be used more to raise awareness of university life and programmes. Originality/Value: Higher education admission officers can better serve the demands of their schools by comprehending and utilising data on influencing elements in cadet’s decision-making in maritime educational institutions in order to raise enrolments while responding to reducing funds. Type of Paper: Case Study.
Prevailing Status of School Libraries in South Africa: Challenges and Suggestions

School libraries are the backbones of the mother body, which is a school. They are also regarded as the hub in which a wide range of library collections are made available in order to meet the information needs of learners, students and teachers. There are more challenges that are associated with libraries in South Africa. The research method employed to collect data concerning school libraries in South Africa, their challenges, and the current status of school libraries in South Africa, is a literature review along with narrative and integrative approach. Considerable literature exists on various aspects of a school library and the challenges faced by them in South African schools. The aim of this conceptual article is to highlight the school libraries in South Africa as well as the current status of school libraries in South Africa. Based on the literature review, this study brings to light the different aspects of the school libraries. The study recommends that a school library should be a place that is conducive to learning. The library should also provide both teachers and learners with a location that encourages individual study, group cooperation and a big group exhibition.
Field and Petrographic Characteristics of Photang Thrust Sheet of Zanskar Tethys Himalaya, Ladakh, India

The Photang thrust sheet is a distinct complex of rocks that lies under the Spongtang ophiolite, showing almost complete ophiolite sequences. The pre-collision tectonic setting, emplacement age, mechanism of association of diverse litho-units within Spongtang klippe, and their regional correlation is still debatable and partially known. The controversy exists as to whether the ophiolite was obducted onto the northern passive margin of the Indian plate during the Eocene or the late Cretaceous. Moreover, the fundamental question emerges whether the Photang thrust sheet is a part of the independent Spong arc, has been tectonically derived from the Ophiolitic Melange Zone in the Dras island arc, or is a representative of the accreted seamounts of the Indus suture zone. This paper presents the application of fundamentals of field geology and petrography to understand the pre-collision tectonic setting of the Photang thrust sheet, Spongtang ophiolite, and associated rock sequences in the Photoksar region of the Zanskar Himalaya. Keywords: Photang thrust sheet, Spongtang ophiolite, Tectonic setting, Obduction, Ophiolitic Melange Zone, Indus suture zone, Himalaya
Inflation Nexus Economic Growth in Ethiopia

Abstract The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Analysis on Educational Pledges and Issues of the 20th Presidential Candidates

The objective of this study is to examine the educational pledges of the 20th presidential candidates of three major parties such as Lee Jae-Myung of Minjoo Party of Korea, Yoon Suk-Yeol of People Power Party, and Sim Sang-Jung of jungui , Ahn Cheol-Soo of People’s Party, and also to analyze the meanings inherent in the pledges. This study used total four kinds of research methods such as first, the analysis on preceding researches, second, the analysis on the pledge information packages, third, the analysis on pledge brochures uploaded to the National Election Commission, and fourth, the analysis on press release. The educational pledges were analyzed by categorizing them into the college admission system, reorganization of the high school system &amp; school system, teacher policy, kindergarten policy, and abolition of the Ministry of Education. Regarding the similarities, first, it is the integration of kindergarten and daycare center that used to be divided into the Ministry of Education and the Ministry of Health and Welfare. Second, it is the expansion of basic scholastic ability and care. Third, it is the college admission system for the expansion of regular admission based on the College Scholastic Ability Test, and the securement of fairness. Regarding the differentiations, first, it is the diversity system of high school. Second, it is the expansion of internal open recruitment of principals originated from regular teachers as a teacher policy. Third, it is the abolition of the Ministry of Education. Also, the major issues were analyzed as kindergarten/elementary policies, restoration of basic scholastic ability diagnostic assessment, and college admission policies.
Explaining and debugging pathological program behavior

Programs fail. But which part of the input is responsible for the failure? To resolve the issue, developers must first understand how and why the program behaves as it does, notably when it deviates from the expected outcome. A program’s behavior is essentially the set of all its executions. This set is usually diverse, unpredictable, and generally unbounded. A pathological program behavior occurs once the actual outcome does not match the expected behavior. Consequently, developers must fix these issues to ensure the built system is the desired software. In our upcoming research, we want to focus on providing developers with a detailed description of the root causes that resulted in the program’s unwanted behavior. Thus, we aim to automatically produce explanations that capture the circumstances of arbitrary program behavior by correlating individual input elements (features) and their corresponding execution outcome. To this end, we use the scientific method and combine generative and predictive models, allowing us (i) to learn the statistical relations between the features of the inputs and the program behavior and (ii) to generate new inputs to refine or refute our current explanatory prediction model.
RESTInfer: automated inferring parameter constraints from natural language RESTful API descriptions

RESTful APIs have been applied to provide cloud services by various notable companies. The quality assurance of RESTful API is critical. Several automatic RESTful API testing techniques have been proposed to tame this issue. By analyzing crashes caused by each test case, developers can find potential bugs in cloud services. However, it is difficult for automated tools to generate feasible parameters under complicating constraints randomly. Fortunately, RESTful API descriptions can be used to infer possible parameter constraints. Given parameter constraints, automated tools can further improve the efficiency of testing.
Study on the Preparation of GeoWEPP Model Input Data for Erosion Prediction in Cikeruh-Citarik Sub-watershed

Cikeruh-Citarik sub-watershed is a part of the upstream zone of the Citarum watershed which is classified as a watershed with critical conditions in West Java. The change in land use as a side effect of the increasing population causes a degradation of the watershed. Land-use change in a watershed without considering any conservation rules leads to erosion, becoming a watershed criticality indicator. Erosion can be minimized by using a prediction model to predict the amount of erosion that might happen, for the result could help to decide which conservation action is needed in the watershed rehabilitation. GeoWEPP is one of the prediction models that is suitable for predicting the amount of erosion on a watershed scale. This research aims to study the preparation of the input data needed in the GeoWEPP model to predict the amount of erosion, especially in the Cikeruh-Citarik sub-watershed. The methodologies that were used in this research are literature study and field survey. According to the research results, the input data needed for GeoWEPP are DEM (Digital Elevation Model) data of the research area, climate database, soil type and soil physical properties database, land use and landcover data, and bridge files for soil, land cover data, and evapotranspiration calculation.
Penilaian kinerja sistem irigasi berdasarkan pendekatan permen PUPR No.12/PRT/M/2015 dan metode MASSCOTE di daerah irigasi Reban Batu Sumbawa Barat

The Reban Batu irrigation area located in West Sumbawa Regency has experienced a decline in the performance of its irrigation system. Therefore, it is necessary to make efforts to improve the performance of the irrigation system by carrying out maintenance and rehabilitation, which is based on the results of the irrigation performance index assessment. The purpose of this study is to determine the irrigation system performance index in the Reban Batu irrigation area and the variables that affect irrigation performance. As for the irrigation system performance assessment, it can be based on the decree of PUPR No. 12/PRT/M/2015 and the MASSCOTE Method. The irrigation system performance assessment was carried out by direct surveys of the location and interviews with Water User Association (WUA) Farmers as beneficiaries and operational and maintenance (OM) officers as managers, resulting in a performance index based on the decree of PUPR 68.26% which was included in the category of underperforming and requiring attention. Meanwhile, based on the MASSCOTE method, the score is 2.69 or the level of service is in the poor category. Based on path analysis, the indicator variables of Irrigation Service (X1), WUA (X2), Human Resources of OM Officers (X3), and the Modernization of OM (X4)together have a significant effect on the irrigation performance variable (Y) of 0.931 or 93.1%.
Mendeley Application Training for Teachers of MI Humaira

Many instructors do not use automatically quoting and producing bibliographies, the present service is attempting to assist teachers in using the Mendeley program. This workshop seeks to increase MI Humaira instructors' abilities to cite and write bibliographies using the Mendeley program. The course takes a performance-based approach, although it begins with explaining and providing examples before assisting with installation and sync to Microsoft Word. There were 20 instructors from MI Humaira who took part in this training. The outcome of this exercise was that the participants were able to master Mendeley when writing scientific articles.