Reviewerly/exHarmony huggingface dataset:
Combining contrastive and supervised learning for video super-resolution detection

Upscaled video detection is a helpful tool in multimedia forensics, but it’s a challenging task that involves various upscaling and compression algorithms. There are many resolution-enhancement methods, including interpolation and deep-learning based super-resolution, and they leave unique traces. This paper proposes a new upscaled-resolution-detection method based on learning of visual representations using contrastive and cross-entropy losses. To explain how the method detects videos, the major components of our framework are systematically reviewed — in particular, it is shown that most data-augmentation approaches hinder the learning of the method. Through extensive experiments on various datasets, our method has been shown to effectively detects upscaling even in compressed videos and outperforms the state-of-theart alternatives. The code and models are publicly available at https://github.com/msu-video-group/SRDM.
POTENSI USAHA TOURISM WEB SERVICE WWW.AYOHOLIDAY.COM KAISA GROUP SEMARANG

Scientific study activities on tourism, mice, and marketing communications. The activities carried out are in the form of participating in discussions and assigned to attend seminars, aiming to enrich knowledge about tourism, mice and marketing communications. This activity is a practice to process vendor data that will collaborate with the office into one in the service provider partner file. Both transportation, accommodation, restaurants, logistics and human resources. Aims to collect data on cooperation partners so that the data is neat and can be searched at any time when needed
Agentività e telicità in GilBERTo: implicazioni cognitive

The goal of this study is to investigate whether a Transformer-based neural language model infers lexical semantics and use this information for the completion of morphosyntactic patterns. The semantic properties considered are telicity (also combined with definiteness) and agentivity. Both act at the interface between semantics and morphosyntax: they are semantically determined and syntactically encoded. The tasks were submitted to both the computational model and a group of Italian native speakers. The comparison between the two groups of data allows us to investigate to what extent neural language models capture significant aspects of human semantic competence.
Analisis Teks Pantun Siswa Kelas VII (F) MTs Negeri 2 Pontianak Tahun Ajaran 2019/2020

AbstractThis study aims to examine the number of syllables used, the sampiran (symbol), the final rhyme, the content of the rhyme related to the types of rhyme so that it is in accordance with the conditions of the rhyme that has been determined. The research method used is descriptive in the form of qualitative research. The source of data in this study is a secondary data source, namely class VII (F) students who write rhymes. The results of the analysis show the aspect of the number of syllables used shows that 22 students get a score of 25, 3 students get a score of 13, and 1 student gets a score of 0, the sampiran aspect (symbol) shows 7 students get a score of 18, 6 students get a score of 12, 6 students get a score of 6 , and 7 students got a score of 0, the final rhyme aspect, 16 students got a score of 25, 5 students got a score of 13, and 5 students got a score of 0, and the aspect of the content of the rhyme related to the types of rhymes shows that all rhymes made by students get score 25.Keywords: Analysis, Text, Pantun
Proof-of-Merit: Harnessing the Computing Power used by Blockchain Consensus Mechanisms for Complex Transaction Generation

Existing popular Blockchain consensus mechanisms, such as Proof-of-Work (PoW), are designed to record existing transactions. However, they play no role in the transaction generation process. Many blockchain applications require high computation costs to generate and record transactions (e.g., in the case of PoW). In this paper, we propose an approach that allows us to utilize the consensus generation process to generate transactions by solving complex problems. We call it the Proof-of-Merit (PoM) mechanism - this approach decentralizes the transaction-generation process and selects proposed solutions to the problem based on their merit. We illustrate the PoM mechanism in the context of ridesharing, where a group of solvers provide solutions to the problem of matching riders with drivers. Moreover, we define two objectives - efficiency and equity - to evaluate PoM. We demonstrate PoMâ€™s performance and nuanced properties using agent-based simulation. We show how Decentralized Control Parameter (DCP) influences the intrinsic tradeoffs between efficiency and equity. Further, we explore how to find the proper value of DCP towards achieving a desirable balance of the two objectives.
Opportunities and challenges in implementation of artificial intelligence in food &amp; beverage service industry

The 21st century has seen numerous improvements in the field of technology, the most exciting being development of artificial intelligence. Artificial intelligence is used in each and every field today with Food and Beverage being witness to various changes it has brought. Despite its young years, AI has made big inroads in Food & Beverage service industry has helped food processors come up with innovative ways to not just process but also in packaging and even delivering the finished product to the customer. This research will try and ascertain the various ways the Food and Beverage industry has reacted to the introduction of Artificial Intelligence. From food production to food processing, the food industry is witnessing a major shift in the ways it deals with customers and other businesses. The present study attempts to explain various facets of the prevalent artificial intelligence that are appropriate for hospitality-related activities. This will help one to understand that if the power of artificial intelligence can be used in restaurants. This exploratory study analyses the secondary data and different literature accessible in research. AI has been successfully used in many sections in restaurants such as recommendation and suggestion engine, chatbot, robot, kiosks, integrated purchasing and inventory, biometrics etc. It is not only meeting with the increased demand and pace of Artificial Intelligence but also helping reshape the Food and Beverage industry and customer behavior. Undoubtedly, the application of Artificial Intelligence has continuously boosted the industry but still many people are unaware of the potentials that it posses.
The Reality of Electronic Training and Its Relationship to the Employees’ Morale in Palestinian Universities “Case Study of Al-quds University and Al-istiqlal Universities”

This study aims to identify the reality of electronic training and its relation to raising employees’ morale within Palestinian universities. The study case aimed to be directed toward Al-Quds University and Al-Istiqlal University, where it came to define the electronic training, its pros, cons, components, and its relation to employees’ morale. The study used a descriptive approach, where the main sources for data collection were both primary and secondary sources such as; books, magazines, and websites. These sources helped in the formulating and designing of the questionnaire built to understand the relationship between electronic training and Employee; morale. For the study population and its sample; the study sample consisted of the clamshell sample. The study population consisted of all employees of Al-Quds University, which numbered 732 employees, and Al-Istiqlal University, which numbered 320 employees. Moreover, the selection was designed based on the electronic sample calculator, the number of sample members reached 282 employees. Al-Quds University employees should make up 69.5% of the sample members, about 196 employees by calculating the relative distribution. While the number of sample members from Al-Istiqlal University was 86%. Two hundred fifty-one employees of the two universities answered the questionnaire; that is, the response rate to the questionnaire was 90%. The results were statistically analyzed using SPSS software.
The implementing the Role of the Police in Preventing Gambling Crimes

The objectives to be achieved in this study are to find out the factors causing the rampant gambling in the Kudus region, to determine the implementation of the role of the Kudus Resort Police in preventing gambling crimes and to find out what obstacles and solutions are in implementing the role of the Kudus Resort Police in preventing gambling crimes? The research method used in this study is a juridical-sociological approach. The data analysis method used in this study is qualitative analysis, which is a way of analyzing research results that produces analytical descriptive data. The conclusions in this study are the factors that cause the rampant gambling in the Kudus area: They, especially the small and poor people, feel uncertain about the future, and are not sure that with reasonable business results they can get balanced results They feel they do not get protection and The role of the Police in Combating Gambling in Kudus is extraordinary, so that the Kudus Polres can be said as one of the Polres that consistently eradicates Gambling indiscriminately. Kudus Police and Efforts: Obstacles originating from the community/outside the police. Obstacles that come from within the police.
An Evaluation of Relevance of Criminal Intelligence Management and Implications for Security and Public Safety in Benue State, Nigeria

The study focused only on five local Government Areas of the State where incidents of various kinds of crime, particularly cattle herders attacks, cattle rustling, armed robbery, banditry, kidnappings and farmers-herders conflicts do occur regularly. A sample size of 18 (n-18) was determined for the study. The interview participants were recruited using the referral approach that was based on the purposive sampling technique of selecting persons with enough stock of knowledge, experience, and expertise on the topic of this study. The participants were recruited from the Nigeria Police, DSS, Nigeria Security and Civil Defence Corps, and community vigilante groups in Makurdi, the State capital located in Makurdi L.G.A (Benue North-west Zone) and four other Local Government Areas , namely, Agatu (Benue South zone), Logo, Kwande, and Katsina-Ala (Benue North-east zone),where all manner of criminal activities, particularly armed robbery, banditry, kidnapping, herders attacks, farmers-herdsmen clashes, and cattle rustling take place on regular basis. Data analysis was done using thematic analysis approach. Lincoln &amp; Guba’s 3-step model was applied with the aid of NVivo 11.The finding of the study was that the management of the collection/collation phase of information meant for intelligence production, including the various agents and tools used for that process (informants, surveillance, technologies (ICT), community policing, and interrogation) predisposes criminal intelligence management to be very relevant to the fight against crime. The finding of the study also showed that how the intelligence analysis phase of the intelligence production process, particularly intelligence analysis is managed makes criminal intelligence management have much relevance and implications to the fight against crime and insecurity.
Using Karuta Game to Enhance Vocabulary Mastery of Elementary School Students in Sidomulyo of Sibiru Biru Sub-District

Vocabulary learning plays an important role in learning English, especially in elementary schools which emphasize English learning on vocabulary mastery. However, vocabulary learning often makes elementary school students feel bored because they are assigned to memorize as many English words as possible while they sometimes do not understand the meaning of the words. Therefore, teachers should find several possible techniques that can attract students’ attention and bring out their motivation, one of which is using games, such as the karuta game. This paper aims at describing how the karuta game is implemented in teaching vocabulary and how it enhances the elementary school students’ vocabulary mastery. This is a descriptive study taking the elementary school students living in Sidomulyo of Sibiru Biru Sub-District, Deli Serdang Regency, North Sumatra, as the participants. The data were collected using observations and interviews and were analyzed qualitatively. The results show that (i) the karuta game is easy to use because it does not have a complicated rule; furthermore, it is flexible because it can be modified in several ways following the vocabulary intended to introduce; (ii) the karuta game benefits the students in bringing up their motivation in learning English vocabulary, providing them a comprehensive conceptual meaning of each vocabulary, and improving their pronunciation. It is concluded that the karuta game is a good technique in enhancing elementary school students’ vocabulary mastery.
CONVERSATIONAL IMPLICATURE IN THE “ TOY STORY 4”

This research uses the film as the object of research entitled Conversational Implicature In The Toy Story 4 and this research focused on the character’s utterance. The researcher has taken the data from the Toy Story 4 Movie Script and the Movie from the internet. The character’s utterance has an implicit meaning to deliver the message, in the pragmatics in the pragmatic scope it’s called implicature. Based on that, the researcher tries to explain the hiding meaning from the implicature utterance using Grice’s theory. Grice classified the types of implicature into two that is generalized implicature and particularized implicature. In this research, the researcher found twenty data that contains conversational implicature, 16 data including particularized implicature and 4 generalized implicature. The characters more frequently used the particularized implicature than generalized implicature. In other word, the characters determine their feelings and show their personality indirectly. The implied meaning is found from how the characters refuse, complain, and reminder.keywords : generalized implicature, particularized implicature, toy story 4 movie
KORELASI AKTIVITAS BELAJAR DENGAN HASIL BELAJAR KELAS IV SEKOLAH DASAR NEGERI 17 PONTIANAK KOTA

AbstractThis study aims to describe the correlation between students' learning activities during home study during the covid-19 pandemic and the learning outcomes of students of grade IV of State Elementary School 17 Pontianak Kota. The method used is a descriptive method with a form of interrelationship studies using correlation studies. This study is a population study with a total of 32 students. The data collection techniques in this study are indirect communication techniques and documentary study techniques. The data collection tools used are questionnaires and documents of average values. The results showed that students' learning activities during home study during the covid-19 class IV of State Elementary School 17 Pontianak Kota amounted to 76.5% in the category of "Enough". While the learning results of students of grade IV Of State Elementary School 17 Pontianak Kota on average raport overall amounted to 89.31.Based on the results of statistical calculations using the product moment correlation formula for the calculation of student learning activities with student learning outcomes obtained r calculated by 0.990, while the table r of 0.349 means r calculate &gt; r table or (0.990 &gt; 0.349). Based on the results of the study, the relationship between students' learning activities during home study during the covid-19 pandemic and the learning outcomes of students of grade IV of State Elementary School 17 Pontianak Kota entered into a strong correlation.Keywords: Correlation, Learning Activity, and Learning Outcomes
Alasan Pelanggaran Maksim Cara/Pelaksanaan dalam Prinsip Kerja Sama Grice pada Budaya Masayarakat Riau

This research is motivated by the existence of a gap between the concept of Grice's cooperative principle and its application in the culture of the Riau people. The problem in this research is what is the reason for the violation of the maxim of manner in the culture of the Riau people? This study uses a qualitative approach with the grounded theory method. Informants in this study amounted to 79 informants who came from a number of districts in Riau and Riau Islands. The data analysis technique in this study consisted of three stages, namely: open coding, axial coding, and selective coding. The conclusion of this research shows that cultural differences make Grice's principle of cooperation, especially the maxim of manner, not universally applicable to all languages. There are a number of reasons for violating the maxim of manner, namely reasons of politeness, confusion in giving answers, forgetting, nervousness, empathy, avoiding direct speech, secrets, substitute vocabulary, pleasantries, pleasantries, lying, habits, and upset/angry. Violation of Grice's cooperative principle is not a bad thing, in fact the violation occurs because of the cultural influence that exists in the language. The violation of Grice's maxim of cooperation in a language is a manifestation of the actual principle of cooperation in that language.&#x0D;
Penerapan Algoritma C4.5 Untuk Memprediksi Penjualan Lele Pada Kolam Pancing Galatama

Advances in technology and information today can produce a smart innovation in business, which we can call business intelligence. In this technological advancement is the use of previous data which will later be used to obtain a data update to increase sales of a product in this case the technique is called a data mining technique which can extract useful information from the sales data warehouse. The use of data mining techniques is expected to help speed up the decision-making process,enabling decision-makers to manage the information contained in transaction data into new knowledge. Therefore the seller must be more careful in providing the type of product, in this case the researcher conducts research on the sale of catfish which will be in great demand, so that the seller will be able to provide recommendations for the type of catfish that has the most demand, so that the seller can classify types of catfish from the type, price, and weight of the catfish using aclassification method carried out using the C4.5 data mining algorithm. The C4.5 algorithm is a tree data type decision classification algorithm. The decision tree C4.5 algorithm is built in several stages which include selecting the attribute as the root, creating a branch for each value and dividing the case on the branch. This step will be repeated for each branch until all cases in the branch have the same class. From the results of tree testing of decision search results from sales datausing the RapidMiner Studio application, the results that have the highest gain in predicting catfish sales are weight and type so that it will produce the status of selling catfish in demand and those that are not selling by giving a value of &gt;= 25 in katakana in demand. and &lt;25 are said to be not selling well, so the Galatama pond manager can make a reference to pay attention to these two variables in selling catfish to get the best sales.
DistilNAS: Neural Architecture Search With Distilled Data

Can we perform Neural Architecture Search (NAS) with a smaller subset of target dataset and still fair better in terms of performance with significant reduction in search cost? In this work, we propose a method, called DistilNAS, which utilizes a curriculum learning based approach to distill the target dataset into a very efficient smaller dataset to perform NAS. We hypothesize that only the data samples containing features highly relevant to a given class should be used in the search phase of the NAS. We perform NAS with a distilled version of dataset and the searched model achieves a better performance with a much reduced search cost in comparison with various baselines. For instance, on Imagenet dataset, the DistilNAS uses only 10% of the training data and produces a model in ≈ 1 GPU-day (includes the time needed for clustering) that achieves near SOTA accuracy of 75.75% (PC-DARTS had achieved SOTA with an accuracy of 75.8% but needed 3.8 GPU-days for architecture search). We also demonstrate and discuss the efficacy of DistilNAS on several other publicly available datasets.
Compactness of Neural Networks

Summary In this article, Feed-forward Neural Network is formalized in the Mizar system [1], [2]. First, the multilayer perceptron [6], [7], [8] is formalized using functional sequences. Next, we show that a set of functions generated by these neural networks satisfies equicontinuousness and equiboundedness property [10], [5]. At last, we formalized the compactness of the function set of these neural networks by using the Ascoli-Arzela’s theorem according to [4] and [3].
Emergency Alerting Technologies Relevant to Forest Fires

California wild and forest fires in 2017 resulted in over 100 fatalities. While WEA alerts were transmitted to mobiles in selected areas, the power and network outages limited their delivery. WEA is similar to the SMS Broadcast system used elsewhere. It does not require subscription, and can be geotargeted, usually by map polygon. There are already available and in development other alerting technologies. The Emergency Alert System on radio and TV in the U.S. has been in use for many years. It is a broadcast break-in system the overrides program content. This was used in one location for the wildfires, but not elsewhere as geotargeting is not possible with this system. It is and analog broadcast technology architecture. AM and FM Broadcast in the U.S. now has HD Radio that is mixed analog and digital. A limited data message can be carried and used for selective delivery of messages. DAB, DAB+ and DRM also can carry a message payload, which can be used for a selective delivery mechanism when the receiver has location position. This may be in a vehicle radio/navigation system. The current digital television system in the U.S. and some other countries is now being replaced by ATSC 3.0. This provided a superior modulation format, Layered Division Multiplexing (LDM) for delivery of program content and alerts to suitable mobiles. An IC for UHF reception and prototype mobiles have been developed. No external antenna is required. Bothe of these new technologies are tested as delivering alerts independently of the mobile network. Within the limitations of radio and TV propagation, such capabilities would provide technology redundancy. The television signal propagation may be limited in rural areas, but ATSC 3.0 is capable of having on frequency repeaters to make a single frequency network for improved coverage of program content and alerting. Multilingual alerts based on the CAP Event Terms list with Message Formats are being provided for.
Aplikasi Panic Buton Untuk Keamanan Warga Berbasis Android

Citizens highly expect environmental security, but criminality is inevitable. The level of crime in the community brings unrest and discomfort, so a security system is needed that is connected with the officers concerned. This study aims to build a security system application connected to environmental security officers. This system can help the public provide reports quickly through the panic button application embedded in Android. System development using the spiral model method. A spiral model is an evolutionary software process model assembling the interactive nature of the prototype using control and systematic aspects of a linear sequential model. Meanwhile, the system design stage uses the Unified Modeling Language (UML). The application is in Android Studio for the design stage, a unique Integrated Development Environment (IDE) that runs on the Android platform. The panic button application is a security system designed to assist the public in providing reports and make it easier for security officers to follow up on the messages given. Accelerate the follow-up process of crimes because it is based on Android.