Reviewerly/exHarmony huggingface dataset:
MtCut

Ranked list truncation aims to cut the ranked results in short considering user-defined objectives, which balances the overall utility and user efforts over retrieval results. The exact selection of an optimal cut-off position brings potential benefits in various real-world applications, such as patent search and legal search. However, there is significant retrieval bias in the ranked list. The result scores and the disorder of document sequences cause difficulties in judging the relevance between the queries and documents -- alleviating the existing methods' performance improvement. In this work, we investigate the characteristics of retrieval bias on altering truncation and propose a multi-task truncation model, MtCut. It employs two auxiliary tasks to make complementary for the retrieval bias. As a practical evaluation, we explore its performance on two datasets, and the results show that MtCut outperforms the state-of-the-art methods on both F1-score and DCG metrics.
Analysis of 5x5 board Quoridor

Quoridor is a perfect information game played by two or four players.The purpose of this study is to classify this game as a first move win, a second move win, or a draw.However, the analysis of the standard version of this game, 9x9 board, requires a huge amount of calculation, so in this paper, we show one of a perfect plays of a reduced version with a 5x5 board and one fence each.
APLIKASI PEMESANAN RENTAL MOBIL PADA ISTIQOMAH RENT CAR CILEGON BERBASIS WEB

Car rent is a business entity in the field of four-wheeled rental services (car). the Application Booking Car at Istiqomah Rent Car Cilegon. not yet effective because every data of borrowing, returning, and other daily transactions with its report is still manually written on papers and books, so that the system the not efficient in saving time, energy and materials. This research is made to know current running system, making the system design, and to know the implementation of the system design made. This research is intended to make the web based car rental Application Booking Car at Istiqomah Rent Car Cilegon. The results from studies in Istiqomah Rent Car Cilegon can be concluded that with the construction of the application booking of borrowing and return of cars is expected to assist employees to organite customer’s data, borrowing, repayment and can reduce errors in data recording process and reduce errors in reporting. The methodology used in making this Final Project is to use the Waterfall methodology consisting of the stages of Requirement Analysis, System Design, Coding, Program Testers, Maintenance, while the programming language used is php programming language and for its database using MySql.
Peer review declaration

All papers published in this volume of IOP Conference Series Materials Science and Engineering Journal have been peer-reviewed through processes administered by the Editors. Expert referees reviewed the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind Each submitted paper reviewed by two minimum of reviewers after meet the minimum criteria. The review based on the following aspects: 1) Technical Criteria (Scientific merit, Clarity of expression, and Sufficient discussion of the context of the work, and suitable referencing); 2) Quality Criteria (Originality, Motivation, Repetition, Length); and 3) presentation criteria (Title, Abstract, Diagram, figures, tables and captions, Text and mathematics, and Conclusion). We also used iThenticate for plagiarism detection. • Conference submission management system: Easychair • Number of submissions received: 92 • Number of submissions sent for review: 92 • Number of submissions accepted: 82 (14 submitted for IOP MSE Scope, Other Submitted to Health Science Series of Atlantis Press) • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received × 100): 89% • The average number of reviews per paper: 2 • Total number of reviewers involved: 19 • Any additional info on the review process: No • Contact person for queries : Contact Person : Sri Sugesti (+62877-3980-3053) Sarwinanti (+62815-7848-2820) Address : Kampus Universitas ’Aisyiyah Yogyakarta Jalan Siliwangi (Ring Road Barat) No 63, Mlangi, Nogotirto, Gamping, Sleman, Yogyakarta, Indonesia E-mail : ichst@unisayogya.ac.id Website : https://ichst.unisayogya.ac.id/2020
Personal space and its transformations in a technological context

Context and relevance of the research: The creation of autonomous computer agents and humanoid robots is becoming a priority subject of research in various fields of knowledge such as evolutionary psychology, cognitive science, neurobiology, engineering, social robotics, linguistics, philosophy, etc. The gap between technological, natural science and humanitarian-scientific discourse reveals the need for dialogue, scientific discussions, and the development of a common conceptual-categorical system in information technology and humanitarian knowledge. The expansion of the continuum of artificial realities actualizes anthropological problems, including the question of a new ontological status of human, of personal space, within which all aspects and projections of human existence undergo significant changes. Personal space as an ontological phenomenon of Self interacts with different environments (nature, society, culture, extended reality (XR)) has borders with them and in each partially functions. The research aims to develop methodological foundations for the study of personal space, formulate the author’s definition of personal space, and identify conceptual methodological constructs to analyze the transformation of personal space in the development of information technology and social robotics. Used methodology: the principle of integrity, the principle of duality of being, typology of relations I-Thou and I-It by Martin Buber and Semyon L. Frank, system analysis, convergent approach. Key findings: The development of information technologies and social robotics has opened a new stage in forming the technological context of human entry into symbiotic relations, where the boundaries between the natural and the artificial are blurred, which indicates the need to elaborate a convergent approach to studying interdisciplinary problems in technological and humanitarian knowledge. The author’s definition of personal space as a holistic phenomenon of Self is offered for use as a methodological tool to study its changes in the technological context.
Detection of rotated objects using the improved YOLOv5 algorithm

Common object detection algorithms have too many backgrounds, duplicated boxes, and a high miss ratio in detecting rotated objects, which limit their applications on the industrial site. To address these problems, this paper proposed an improved YOLOv5 to detect rotated objects. First, this paper used the K-means clustering algorithm to develop clustering analysis for trained datasets to confirm more proper anchor boxes to reduce the training time. Then this paper transferred the angle issue to a classification problem. This paper also learned angles in the original loss function combined with the circular smooth label (CSL) algorithm, thus avoiding the periodicity of angle regression. Last, this paper selected one from different detection results of an object to increase the accuracy of the detection results. The experiment showed that the proposed algorithm had a higher detection precision than other methods in the public dataset DOTA. When the proposed algorithm detected rotated objects in the dataset collected on the industrial site, its mAP reached 94.35%. This value was 8.20% higher than that of YOLOv5, satisfying the detection requirement on the industrial site.
Spatio-temporal Analysis of the Southern Ocean Storms Using the Australian Seismic Arrays

&amp;lt;p&amp;gt;The microseismic energy of the Earth is ubiquitously present and recorded on seismographs around the globe. It has been observed that the Rayleigh waves in the 20-50 s period band are excited due to the large oceanic storms (stormquakes). Although surface waves associated with the ocean-wave activity are well documented and have been used, the interaction between the storms and the ocean can also generate energy that propagates as seismic body waves. Such body waves traverse through the Earth&amp;amp;#8217;s deep interior and interact with the internal boundaries in very much the same way as the waves generated by earthquakes. The primary motivation of our study is to investigate the feasibility of utilizing stormquakes in a similar way we utilize earthquakes in passive seismology. The first step is to identify and detect permanent and moving sources in near real-time seismic recordings, considering their different natures.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We process continuous waveforms recorded by the Australian arrays of different apertures using state-of-the-art array-processing technique, the Capon method. Firstly, we infer the source location and characteristics of body-wave seismic signals generated throughout the entire life cycle of the oceanic storms in the southern hemisphere. Then we validate the source location of the seismic signals from the storms with the back-projection method. We further benchmark the observations via synthetic experiments by modelling the seismic sources generated by oceanic storms. These experiments help determine the method's strengths and weaknesses to detect stormquake body-wave signals. The location of the body-wave sources associated with the distant storms may provide new datasets which can be utilized and complement seismic data for surveying the Earth&amp;amp;#8217;s interior structures.&amp;lt;/p&amp;gt;
A Semi-Supervised Learning Approach for Tackling Twitter Spam Drift

Abstract: Twitter play an important role in accelerating the spread of spam. In order to protect the users, Twitter and the research community have been developing different spam detection systems by applying different machine-learning techniques. However, a recent study showed that the current machine learning-based detection systems are not able to detect spam accurately because spam tweet characteristics vary over time. This issue is called "Twitter Spam Drift". In the proposed system a semi-supervised learning approach (SSLA) has been proposed to tackle this. The new approach uses the unlabeled data to learn the structure of the domain. To handle the drift, live twitter stream of data is taken for the study. The pre-processing of livedownloaded data is labeled and machine learning is applied to detect spam and non-spam users. The data is stored in cloud storage, which can be accessed by user from anywhere. Experimental results were conducted on more than one machine learning algorithm and finds the better for the proposed problem, in-terms of accuracy
Probability mapping for bedrock occurrence on the Irish Continental Margin: Applications for regional bedrock outcrop and habitat mapping&amp;#160;

&amp;lt;div&amp;gt; &amp;lt;p&amp;gt;&amp;lt;span&amp;gt;The Irish continental margin hosts many complex sedimentary basins, and&amp;amp;#160;diverse geomorphological domains displaying bedrock outcrops that can host a large variety of habitats from shallow to cryptic fauna. More recent surveying in the&amp;amp;#160;Irish offshore territory&amp;amp;#160;has indicated extensive areas of bedrock exposure.&amp;amp;#160;The BeTar_Drill2&amp;amp;#160;(&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;Be&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;drock&amp;amp;#160;&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;Tar&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;get analysis for ROV&amp;amp;#160;Rock&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;Drill&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;&amp;amp;#160;sampling)&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;&amp;amp;#160;&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;project applies&amp;amp;#160;novel bedrock suitability mapping to the full Irish continental margin&amp;amp;#160;(ICM); to determine potential habitat areas from shallow to deep domains for the entire ICM;&amp;amp;#160;to ground truth&amp;amp;#160;this&amp;amp;#160;mapping with petrographic analysis of physical samples correlated to&amp;amp;#160;existing seismic data. The project&amp;amp;#8217;s overall aim is to&amp;amp;#160;improve the&amp;amp;#160;appraisal of the regional geology&amp;amp;#160;and habitat mapping&amp;amp;#160;of the Irish margin.&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;&amp;amp;#160;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;lt;/div&amp;gt;&amp;lt;div&amp;gt; &amp;lt;p&amp;gt;&amp;lt;span&amp;gt;This study has improved the Bedrock Suitability Index (BSI) previously developed for the Porcupine Bank Canyon by fine tuning the variables to the wider margin. The improved BSI model has been constructed across the southern Irish continental margin, covering more than 140,000 km&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;2&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;, producing a high resolution (25m&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;2&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;)&amp;amp;#160;model of predictive bedrock outcrop locations. Validation by video observations and correlations of predicted bedrock exposures has established an appropriate level of confidence with BSI accuracy. The BSI mapping reveals a strong structural control on bedrock outcrop occurrence, with BSI correlating with deep structural fabrics of the margin as expressed by fault lines.&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;&amp;amp;#160;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;lt;/div&amp;gt;
Low-Cost Technologies that can be Integrated into Medical Education in Emerging Areas

The situation created by global emergencies, such as the current global pandemic [1], has led in many parts of the world to the cessation of clinical practice in hospitals for medical and nursing students, although in medical education the contact with the patient and the practical practice of various medical techniques and procedures by contact is necessary. However, in situations of biological risk, it is natural to avoid any possibility of exposure for students.The objective of this paper is to analyze the possibility of creating low cost, modular telepresence robots, adapted for medical clinical practice and capable of allowing practicing students to interact remotely with patients, communicate with them, monitor them, help them move, and also to be able to measure parameters such as temperature using thermal vision, pulse measurement or, the ability of the limbs to move. The robot consists of a mobile stretcher, with the possibility of moving both with wheels and with the help of legs, which allows the patient to move without human assistance in areas with obstacles. The method of achieving this goal refers to the realization of several modular applications and each to solve specific tasks, and finally to be interconnected in a telepresence robot that makes possible the remote interaction of practicing students with patients.The research results emerge both from the prototypes made and from the simulations and the results of measuring certain vital parameters sent by the telepresence robot via the internet to the medical team.The idea of modular integration of several individual applications is feasible and offers the advantage of easily adapting to patients with various ailments and medical needs.
Improved Optical Flow Estimation Method for Deepfake Videos

Creating deepfake multimedia, and especially deepfake videos, has become much easier these days due to the availability of deepfake tools and the virtually unlimited numbers of face images found online. Research and industry communities have dedicated time and resources to develop detection methods to expose these fake videos. Although these detection methods have been developed over the past few years, synthesis methods have also made progress, allowing for the production of deepfake videos that are harder and harder to differentiate from real videos. This research paper proposes an improved optical flow estimation-based method to detect and expose the discrepancies between video frames. Augmentation and modification are experimented upon to try to improve the system’s overall accuracy. Furthermore, the system is trained on graphics processing units (GPUs) and tensor processing units (TPUs) to explore the effects and benefits of each type of hardware in deepfake detection. TPUs were found to have shorter training times compared to GPUs. VGG-16 is the best performing model when used as a backbone for the system, as it achieved around 82.0% detection accuracy when trained on GPUs and 71.34% accuracy on TPUs.
Experience Journey Map: A New Experience Design Tool for Structuring Youth Activities

We introduce a new experience design tool, an experience journey map, to assist youth professionals in planning engagement, immersion, and absorption activities. Experience journey maps are based on customer journey maps, which are widely used in business service design. This new approach highlights strategies for engendering deep structured experiences during the activity. An experience journey map is a matrix of columns and rows. Columns represent the sequence of activity stages. Rows are experience-structuring strategies derived from the theory of structured experience. These strategies include service performance strategies, deep structured experience strategies, and engagement, immersion, and absorption strategies. We present a case study showing how the experience journey map can be used to plan impactful youth activities.
GARD: Gender difference analysis and recognition based on machine learning

In recent years, intelligent diagnosis and intelligent medical treatment based on big data of medical examinations have become the main trend of medical development in the future. In this paper, we propose a method for analyzing the difference between males and females in medical examination items (medical attributes) and find that males and females of different ages have differences in medical attributes. Then, the cluster analysis method is used to further analyze the differences between male and female in medical examination items, such that some common important attributes (CIAs) that can be used for gender recognition are found within a specific age range. Following, we propose two gender recognition models (GRMs) by using the found CIAs to identify the gender. A large number of experimental results are provided to validate the effectiveness of the proposed GRMs. Experimental results show that the medical attributes with a large value of difference really contribute to gender recognition. Within a certain age range, such as 17 to 51 years old, the proposed GRM can reach 92.8% accuracy using only six medical attributes.
The Students' Acceptance on Provided and Students' Own Dialogue on The Students' Speaking Improvement

This study is about how 55 university students perceive the learning system on communication skill through virtual class by using provided dialogue and students’ own dialogue. Provided dialogue means text of conversation taken from the book, and the lecturer brings it in the virtual class for the students to discuss, learn, and practice. Meanwhile, the students’ own dialogue refers to the assignment the lecturer gives to students in which students create dialogue within 5-6 days and the dialogue must fulfil several requirements. The instrument for collecting data is questionnaire. There are 21 items of questions in questionnaire given to students at the end of semester. The study proves that the usage of provided dialogue and plus the students’ own dialogue makes the zoom class more interesting. Other findings are the students are able to use specific expressions in communication using dialogue, in good intonation and pronunciation, in good spelling and grammar, and appropriate gestures and full confidence. Furthermore, the questionnaire also shows good point on the students’ improvements after the students have learned communication skill using both provided dialogue and the students’ own dialogue.
Space-time variations of seismicity: quantitative assessment and systematic changes before large earthquakes

&amp;lt;p&amp;gt;We discuss recent results aimed at robust identification and quantification of space-time variations of earthquakes, with the ultimate goal of tracking preparation processes of large earthquakes. The first part focuses on progressive localization of seismicity, which corresponds to mechanical evolution of deformation from distributed failures in a rock volume to localized shear zones, culminating in generation of primary slip zones and large earthquakes. We present a methodology for estimation of localization using earthquake catalogs and acoustic emission experimental data, and showcase its applications to tracking localization processes of large failure events. This analysis is performed with declustered catalogs. The second part describes a technique to assess the degree of regional clustering of earthquakes, and justifies the need for declustering in localization and other analyses of seismicity. We demonstrate that events included in the existing short-duration instrumental catalogs are concentrated strongly within a very small fraction of the space-time volume, which is highly amplified by activity associated with the largest recorded events. The earthquakes that are included in instrumental catalogs are unlikely to be fully representative of the long-term behavior of regional seismicity, creating a bias in a range of seismicity analyses. Methodologically, both discussed topics are based on using the Receiver Operating Characteristic (ROC) framework. We demonstrate how this unified framework is adopted for diverse tasks, including assessment of coupled space-time clustering after controlling for space and time marginal inhomogeneities of earthquake rates, and tracking time-dependent transformations of a highly inhomogeneous earthquake space distribution. The examined data include crustal seismicity in California, Alaska and other regions, synthetic catalogs of the ETAS model, and acoustic emission data of laboratory fracturing experiments.&amp;lt;/p&amp;gt;
Digital Media and Women: Usage, Challenges and Outcome (A Study of Women in Jaipur)

Abstract: The advent of Internet has taken the world in a swirl. Living in a digital age, we treat Internet as our lifesaver and rely on this technology for a broad array of things from paying our bills to finding a life partner, so on and so forth. Technology has made things easier but it has also created many threats for the society and it is constantly increasing. It is a need to be careful all the time while accessing Internet otherwise a person can easily become the victim. Each one of us our connected through technology that let people communicate with each other. The availability of mobiles, personal computers, laptops and ease of access to Internet made things easier but at the same time the risk of being the victim of crime in virtual world has also increased. The more usage also affecting the health of people and women have been seen more affected to it. Cybercriminals keep their eye on various digital media platforms including job and marriage website where women post their personal information. The revealing of such information has made women more a target of cyber crime. It has also been seen that women are less aware about the laws regarding cyber crime and most of the times they shy or have fear of reporting such type of crimes. Keywords: Digital, Digital Media, Social Media, Crime, Cyber Crime, Morphing, Cyberspace, Netizens, Cyber Bullying, Hacking.