Reviewerly/exHarmony huggingface dataset:
일본 법령상 선장의 법적 지위

Regardless of the development of technology, the marine transportation still has unique ocean danger and thus the roles of the crewmen still has an important meaning. Especially, the captain is the person who directs and supervises finally the sailing of the ship in the sea and thus the role of the caption is a problem which is directly related to the ship, life and safety. Rights and responsibilities of the captain is regulated by various laws. The general rules are that the rights of the captain as a deputy such as the legal ship owner and the public position which regulates the safety and life of the ship are divided. The captain exercises various rights according to the marine law and such rights are mostly the civil rights provided by the country. If the captain abuses his rights, he shall receive a criminal penalty, however, there is a hard part in processing the damage occurred to the seamen or passengers on board of the corresponding ship as the national liability. Of course that if it is impossible from the seaman or passenger to receive the national compensation, they can ask for the user's responsibility and receive the damage compensation. It is comprehended that there has been not many cases so far that the captain investigated in person as the special justice police officer sent the case to the prosecution. Even though actual crimes are found, they are being ignored and thus the special justice police officer system for the captain is only a nominal system and only the title remains. Thus, in order to cope with the raid change, the duties of the captain as a judicial police officer should be reestablished. For example, it is needed to educate the special justice police officers on how to investigate professionally, and the way of establishing the professional training courses that the justice police officers should complete such as composition of investigating documents, how to investigate the related people such as the suspects, request for a warrant, preservation of proof and sending of the case etc for those who wish to become captains as well as the captains who are on board already as captains and letting them complete such courses can be considered. In case that they have completed these professional training courses, they can cope with the crimes occurring on board and perform investigation on the criminals or various crimes and proof investigation according to the related law and this will eventually generate the effect of prevention accidents and punish the perpetuators. Later, studies of newer prospective will be needed about the position of a captain as a justice police officer.
Word-Formation Process (Morphology) Through the Maternal Reflective Method by Teacher towards Deaf Students in Grade V (Descriptive Study at SDLB Santi Rama)

This research aims to gain in-depth information about the word-formation process (morphology) through the maternal reflective method in the fifth-grade deaf students at SDLB Santi Rama. This research uses a qualitative approach with a descriptive method. Data analysis of this research uses Miles and Huberman model that has three steps, namely data reduction, data presentation, and data verification or data conclusions. The data collection techniques in this research are interviews, observations, and document review. The result shows that the word-formation process (morphology), especially affixed words, is divided into three: forming prefixes, forming suffixes, and the morphophonemic process. The word-formation process (morphology) begins with two kinds of conversation that are perdati (conversation from the heart to heart) and percamsi (conversation to transmit some information). At the same time, the MRM principle used in word formation (morphology) is the process of discovery learning. Suggestions for this research are that teachers can maintain, improve, and apply the implementation of MRM to the word-formation process (morphology).
APLIKASI PASURUAN CITY GUIDE BERBASIS ANDROID DENGAN MENGGUNAKAN METODE LBS (LOCATION BASED SERVICE)

Abstract: Smart City is a term in assessing a City that has succeeded in utilizing Information Technology as a means of supporting the government and the community in providing facilities and services. Based on the Smart City concept, an Android-based City Guide application will be made using the LBS (Location Based Service) method, in accordance with the name of the application, the city that will be used as a research is Pasuruan, the City Guide application will display Service information Public, besides that there is also Pasuruan City Event information. Keywords : Pasuruan City Guide, LBS, Public, Event, Android
Designing E-Voting As An ‘Apparatus’ For Combating Election Rigging: A Nigerian Model

This is a proposed Nigerian model of e-voting. The lessons learnt and huge successes recorded from countries that have practiced e-voting system such as Belgium, Brazil, Canada, Estonia, France Germany, India, Ireland, Netherlands, Norway, Switzerland, United Kingdom and the United States of America beaconed hope for adopting E-voting system as capable of proffering solution to electoral rigging in emerging Nigerian democracy. This paper concludes that while electronic voting is not a magic wand, it is the surest way yet for Nigeria to join the league of countries that have wiped out electoral fraud, which is the worst form of corruption. Concurrently, it is also the best way to hand over for the incoming regimes.
Emotional Marketing on Consumer Behaviour-Perception Study

&lt;p&gt;&lt;b&gt;Purpose: &lt;/b&gt;This paper is about how emotional marketing affects consumer behavior and how emotions will affect the decision-making process of the consumers. &lt;/p&gt; &lt;p&gt;&lt;b&gt;Methodology: &lt;/b&gt;To know the mindset of the consumers about their response to different kinds of emotions, 150 samples were collected randomly using a questionnaire. The questions included how emotions affect them in various situations, which type of emotions they often feel, and how they felt after purchasing. &lt;/p&gt; &lt;p&gt;&lt;b&gt;Findings: &lt;/b&gt;According to the estimated results it was found that emotions will play a major role in consumer behavior and it also depends on their current mood and past experiences. &lt;/p&gt; &lt;p&gt;&lt;b&gt;Limitations:&lt;/b&gt; Though it was proved that emotions will affect consumer behavior, it was completely subjective in nature as every individual has variety of emotions based on their experiences in life and it is practically not possible to satisfy every customer's emotional need. &lt;/p&gt; &lt;p&gt;&lt;b&gt;Future research:&lt;/b&gt; Future research can focus on various emotions and the behavioral aspects that can have an impact and a cross-sectional study can be conducted. Rather than depending on the consumer mindset at the time of buying, it would be the best option to influence consumer’s emotions using advertisements and brand image. &lt;/p&gt;
Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation.

Quality assessment plays a key role in creating and comparing video compression algorithms. Despite the development of a large number of new methods for assessing quality, generally accepted and well-known codecs comparisons mainly use the classical methods like PSNR, SSIM and new method VMAF. These methods can be calculated following different rules: they can use different frame-by-frame averaging techniques or different summation of color components. In this paper, a fundamental comparison of various versions of generally accepted metrics is carried out to find the most relevant and recommended versions of video quality metrics to be used in codecs comparisons. For comparison, we used a set of videos encoded with video codecs of different standards, and visual quality scores collected for the resulting set of streams since 2018 until 2021
Quantum Computing Impact on SCM and Hotel Performance

For competitive hotel business, the hotel must have a sound prediction capability to balance the demand and supply of hospitality products. To have a sound prediction capability in the hotel, it should be prepared to be equipped with a new technology such as quantum computing. The quantum computing is a brand new cutting-edge technology. It will change hotel business and even the whole world too. Therefore, we study the impact of quantum computing on supply chain management (SCM) and hotel performance. Toward the goal we have developed the research model including six constructs: quantum (computing) prediction, communication, supplier relationship, service quality, non-financial performance, and financial performance. The result of the study shows a significant influence of quantum (computing) prediction on hotel performance through the mediating role of SCM in the hotel. Quantum prediction is highly significant in enhancing the SCM in the hotel. However, the direct effect between the quantum prediction and hotel performance is not significant. The finding indicates that hotels which would install the quantum computing technology and utilize the quantum prediction could hugely benefit from the performance improvement.
An Exhaustive Survey of Privacy and Security Based on IoT Networks

Internet of things (IoT) devices communicate with each other in (near) real time, sharing critical data, thus helping in taking informed decisions. This machine-to-machine communication has provided unprecedented opportunities for humankind. IoT devices or claimed services or the data should be accessible to intended users in timely fashion, it is availability principle for IoT. Mutual authentication is required between IoT devices at the starting of each interaction so that each device must identify and authenticate every other interacting device. Privacy remains the most prominent topic in IoT security. Data privacy deals with anonymisation of data in order to prevent a person’s identity from being exposed. Personal identifiable information should be stored safely to avoid leakage of data privacy. Few other improvements are like designing of lightweight cryptographic solutions, applying machine learning algorithm to maintain security in IoT network, federated architecture, spreading awareness among IoT users, and so on.
Mask DnGAN: Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask

In this paper, we propose a learning-based approach for denoising raw videoscaptured under low lighting conditions. We propose to do this by firstexplicitly aligning the neighboring frames to the current frame using aconvolutional neural network (CNN). We then fuse the registered frames usinganother CNN to obtain the final denoised frame. To avoid directly aligning thetemporally distant frames, we perform the two processes of alignment and fusionin multiple stages. Specifically, at each stage, we perform the denoisingprocess on three consecutive input frames to generate the intermediate denoisedframes which are then passed as the input to the next stage. By performing theprocess in multiple stages, we can effectively utilize the information ofneighboring frames without directly aligning the temporally distant frames. Wetrain our multi-stage system using an adversarial loss with a conditionaldiscriminator. Specifically, we condition the discriminator on a soft gradientmask to prevent introducing high-frequency artifacts in smooth regions. We showthat our system is able to produce temporally coherent videos with realisticdetails. Furthermore, we demonstrate through extensive experiments that ourapproach outperforms state-of-the-art image and video denoising methods bothnumerically and visually.
Expectation Violation Leads to Generalization : The Effect of Prediction Error on the Acquisition of New Syntactic Structures

Prediction error is known to enhance priming effects for familiar syntactic structures; it also strengthens the formation of new declarative memories. Here, we investigate whether violating expectations may aid the acquisition of new abstract syntactic structures, too, by enhancing memory for individual instances which can then form the basis for abstraction. In a cross-situational artificial language learning paradigm, participants were exposed to novel syntactic structures in ways that either violated their expectations (Surprisal group) or that conformed to them (Control group). Results from a delayed post-test show that participants in the Surprisal group developed stronger representations of the structures’ form-meaning mappings and were better able to generalize them to new instances, relative to the Control group.
중국 유학생의 학업성취 및 중도탈락 분석에 관한 실증연구

In response to the recent decline in the school-age population, universities have made attracting foreign students a major policy task for universities. As a result, the number of foreign students increased rapidly in terms of quantity, but in terms of quality, the risk is inevitable. Accordingly, the government presented education and internationalization competency certification system indicators on the basis of which quality control of students was systematized. Based on the above certification system, this study focused on analyzing the multiple factors that are actually given to the academic adaptation (performance) of the 2200 students who entered a certain university. In addition, factors other than the certification system index were discovered to comprehensively track how they affect the academic performance of students studying abroad. The researcher found the multireciprocal model analysis showed that the difference between the learner and the moderator was significant, and whether or not they had the Korean proficiency test (TOPIK) was significant. It also said that it could have a direct impact on Chinese University Entrance Exams (高考) are significant. If a model that is very effective in selecting students is established by each university and used as an indicator through this study, it will serve as a basis for efficient selection of students.
Towards Robust Episodic Meta-Learning

Meta-learning learns across historical tasks with the goal to discover a representation from which it is easy to adapt to new unseen tasks. Episodic meta-learning simulates a realistic setting by generating a set of small artificial tasks from a larger fixed training set for meta-training and proceeds in a similar fashion for meta-testing. However, this (meta-)learning paradigm has recently been shown to be brittle in practice, suggesting that the inductive bias encoded in the learned representations is inadequate. In this work we propose to compose episodes to robustify meta-learning in the few-shot setting, in order to learn more efficiently and to generalize better to new tasks. We make use of active learning scoring rules to select the data to be included in the episodes. We assume that the meta-learner is given new tasks at random, but the data associated to the tasks can be selected from a larger pool of unlabeled data, and investigate where active learning can boost the performance of episodic meta-learning. We show that instead of selecting samples at random, it is better to select samples in an active manner especially in settings with out-of-distribution and class-imbalanced tasks. We evaluate our method with Prototypical Networks, foMAML and protoMAML, reporting significant improvements on public benchmarks.
Perancangan Aplikasi E-Kost Berbasis Android Di Kota Batam

Kos is one of the places of service provided or a place in a temporary residential area built by a landlord with different room sizes and rental costs. Based on the observations made by researchers in several boarding houses in Batam, where the process of finding costs is still done manually by surrounding several housing complexes that do not necessarily have costs available in the location, especially for lay people who are still the first time to come in batam with certain needs and also for people who may have interests one or more weeks in batam, like people coming from out of town with a variety of business and employment interests. In this study, rad (Rapid Application Development) method is used to make it easier for researchers to build or design e-KOST applications based on android. With the help of this application, it is expected to facilitate cost seekers and cost owners in making cost booking transactions.
Tribalism and Corruption: Exploration beyond National Culture

This research study examines the relationship between tribalism and ethically suspect behaviors, and tribalism and corruption. The work is also an examination of whether tribalism is a unique cultural behavior that is different from Hofstede’s and other cultural dimensions. We used the institutional anomie theory to develop my hypotheses relating tribalism to individuals’ ethically suspect behaviors and corruption. Using the hierarchical linear modeling technique, multiple regression analysis, the bivariate analysis and secondary data from the tribalism index, the World Value Survey, and the KOF Index of Globalization the study showed that tribalism is a cultural dimension different from Hofstede’s four cultural dimensions (i.e., power distance, uncertainty avoidance, collectivism, and masculinity). The study also showed that tribalism is positively related to corruption. Moreover, the positive relationship between tribalism and corruption is weaker at a higher level of globalization. However, the study did not support the positive relationship between tribalism at the country level and ethically suspect behaviors at the individual level. Future research, theoretical and practical implications, and research limitations are also discussed.
Designing and Assessment of Disinfection of Vegetables and Fruits Educational Software based on Smartphone for Environmental Health Engineering Students, Kerman University of Medical Sciences

Introduction: This study aimed to design and assess theeducational integrated software of Environmental Health Engineering Students (NAJBAM) based on Smartphone for education of cleaning and disinfection of vegetables and fruits.&#x0D; Methods: This applied research by development method was conducted in two stages; design and construct of mobile application under android operating system and survey satisfaction through the electronic questionnaire among 81 environmental health engineering students, Kerman University of medical sciences. Finally, the data were analyzed by SPSS version 24.&#x0D; Results: Results showed that 77.8% of students in this study were women, 64% in the age group of 20 to 30 years, 67% bachelor student and 31% in the fourth year of university. More than 86% of students declared that it was easy to install the application. More than 92% users reported that understand of application was easy and information was up to date. Totally 93.8% of students stated that it was simple to use the software and communicate with manufacturers. Also 53% of them preferred to use this mobile application compared to the text study.&#x0D; Conclusion: becauce the software can provide useful information for users and also evaluation of students had good results, so its design and usage can be useful to upgrading the level of education of students in this field.
PIECES Framework dalam Analisis Penerapan Sistem Informasi

The application of information technology is currently widely used by agencies in carrying out various operational activities. This study tries to apply the PIECES Framework to the analysis of information systems. To implement it, it is necessary to test responses from users on an information system. The system to be tested is the information system of Mako Battalion 131 Braja Sakti. The information system used to support the performance of soldiers where the responsible in this case is part of the operations staff. In their service, the operations staff collect data from each company. The data is inputted into the online-based ANEV DATA system. The system will later be used in processing soldier certification data. PIECES focuses on 6 focus areas of analysis, namely performance, information and data, economy, control and security, efficiency, and service. The purpose of this study is the application of the PIECES Framework in analyzing the quality of the implementation of information systems to ensure the success targeted by the operations staff. This study uses interviews and observations as well as the distribution of questionnaires as a method of data collection. The results of this study indicate that the use of ANEV Data as an information system to improve performance gets an average result at the Performance level of 5.20, information and data level of 4.76, economic indicator level of 5.20, Control indicator level of 4.85, and efficiency level of 4.16. and service satisfaction of 7.16. The value of the operation staff is very satisfied using the ANEV Data information system.
KAMUBISAKUL application to Facilitate students with hearing impairments to follow the lecture process

There are 20 students with special needs at Lambung Mangkurat University, 9 of which are students with hearing impairments. The obstacles experienced by students with hearing impairments during the lecture process are mainly communication problems, especially receptive language (the ability to understand the interlocutor). Not all lecturers understand the needs and characteristics of students with hearing impairments and sign language skills. However, students with special needs are required to follow and succeed in meeting the learning targets set by the lecturer. Therefore we need assistive technology (assistive) that can help students with special needs. In this case, students with hearing impairments make it easier for them to learn and achieve the expected targets. This research aims to develop assistive technology for students with hearing impairments to attend the lecture process. This study used a descriptive method with a qualitative approach, and the type of research used in this study was the Research and Development (RnD) type. This study selected research subjects using the purposive sampling technique to select nine students with hearing impairments at Lambung Mangkurat University. The stages in this research begin with: (1) Literature Study; (2) Needs Analysis; (3) Assessment; (4) FGD or Application Design; (5) Making the KAMUBISAKUL Application; (6) Trial of KAMUBISAKUL Application; (7) Dissemination of the KAMUBISAKULl Application; and (8) Evaluation. Assistive technology development carried out by the research team resulted in an application called KAMUBISAKUL. Based on research, this application is helpful for students with hearing impairments in interpreting essential terms used in lectures. These terms relate to information about the course enrollment flow, UKT (Tuition Fee) payment, lectures, names of college’s rooms. This application is helpful for students with hearing impairments in interpreting essential terms used in lectures. These terms relate to information about the course enrollment flow, UKT payment, lectures, names of rooms in lectures. This application is helpful for students with hearing impairments in interpreting essential terms used in lectures. These terms relate to information about the course enrollment flow, UKT payment, lectures, names of rooms in lecturers.