Reviewerly/exHarmony huggingface dataset:
Optimal Usage of Resources through Quality Aware Scheduling in Containers based Cloud Computing Environment

For cloud computing, the Quality Aware Scheduling of Containers (QASC) model has been proposed for delay-sensitive tasks. Plan your cloud tasks. Typically, time constraints are met while resources are used effectively. It's a really difficult undertaking. In order to distribute containers more effectively, QASC takes into account a number of performance factors. Containers and their make-span logs, as well as input quality metrics like I/O-intensive workload, startup time, hot standby failure rate, and inter-container dependencies, are collected by the QASC model. A metric coefficient that indicates each container's overall rating is calculated by normalizing and averaging these values to determine it. In order to determine how well scheduling performed, the model also includes a quality coefficient that calculates this metric-coefficient threshold. It's also critical for QASC to be able to determine the remaining energy in each container, which represents its request capacity. In order to optimize cloud resources, energy use is also taken into account by the model. From the cloud-sim simulation, an experimental dataset including 50 containers and 1,200 internet protocol-capable users was employed. For the make-span ratio, round-trip time, and energy consumption analysis, this produced 20,000 data points. The RLSched, DSTS, and ADATSA models were contrasted with the QASC model. The outcomes showed that QASC performed better than these models in a number of crucial areas. Tasks may be managed better with the higher average make-span ratio and lower volatility. Its superior job scheduling and resource use were further demonstrated by its shorter round-trip durations and lower energy usage across loads. The QASC model is an extremely complex scheduling method for container-based systems and a significant advancement in cloud computing research. Its approaches and methods enable for more intelligent energy use as well as high-quality services while also improving system performance, particularly for tasks that are delay-sensitive.
Common transversals and complements in abelian groups

Abstract Given a finite abelian group G and cyclic subgroups A , B , C of G of the same order, we find necessary and sufficient conditions for A , B , C to admit a common transversal for the cosets they afford. For an arbitrary number of cyclic subgroups, we give a sufficient criterion when there exists a common complement. Moreover, in several cases where a common transversal exists, we provide concrete constructions.
Software Defined Netconomics

This paper is based on the fair analysis on the economic benefits of software defined networking. The paper will explain vividly the concept of software defined networking and its applications together with the economic advantage(s) with respect to both the client perspective and server perspective. In general, SDN provides lower hardware and operational cost in an excessive traffic load of nowadays users. It has tighter security and faster response time with improved management and planning of server controller. SDN when deployed provides better service(s) with respect to lowering cost and of course with better efficiency. Software Defined Network (SDN) is a great revolutionary idea to change IT Industry of which includes cloud computing and many others. The beauty of its architecture is the decoupling of the essential control and data planes from the application layer, thus the underlying infrastructure is abstracted but the network intelligence is logically centralized with state. This architecture gives access to the enterprise to control, program, automate, scale and secure the network according to the business needs, together with securing a safe benefit in competiveness that has risen due to fast advancement in technology. This architecture is even more important to fulfilling the demands of various clients in the current model of networking. The concept of SDN has the potential to change the current networking model. With SDN, for network services, the underlying network infrastructure can be abstracted by the administrators for many applications. In theory, it can be shown that SDN has many benefits over current IT systems but in practical systems, IT companies are reluctant to work with, tend to oppose nor are they ready to deploy SDN. In this paper, the economic benefits are explored and discussed without bias, and it will be shown that new protocol of SDN provides many economic benefits and guidance to IT companies to establish more secure and efficient network.
An ontology‐based semantic description model of ubiquitous map images

Abstract Map images with various themes and cartographic representations have become ubiquitous on the Internet. Such ubiquitously and openly accessible data, named ubiquitous map images in this study, are a potential resource for many geographic information applications such as cartographic design. However, there is a semantic gap between the simple physical form and the complex connotation of ubiquitous map images, which hinders their further applications. To mitigate such barrier, this article develops an ontology‐based semantic description model for ubiquitous map images. First, we discuss the design concerns and principles of the semantic description model of ubiquitous map images. Second, three semantic layers of the semantic description model are proposed, that is, image semantic description layer, cognitive tool layer, and information source layer, and detailed semantic description items are defined for each layer. Furthermore, a formalized semantic description model for ubiquitous map images is developed using ontology construction tools, which lays the foundation for automated and fine‐grained reasoning with the information embedded in map images. We construct a small test dataset consisting of weather maps, and use three types of constraints, namely “time‐topic,” “region‐topic,” and “map auxiliary elements” for the semantic retrieval experiments. The experiments show that the proposed semantic ontology model can enable complex semantic retrieval of ubiquitous map images. Finally, the scalability of the model is discussed from three perspectives: the depth of description, the combination with intelligent methods, and the integration with other open knowledge bases. The proposed model provides a semantic label system for applying data‐driven approaches to decode ubiquitous map images, which also paves the path to the development of cartographic theory in the era of information and communications technologies.
Correlational Analysis: Knowledge, Training, and Attitude Towards First Aid Injuries Among Students of Astate Senior High School in Banjarmasin

ABSTRACT Childhood injury is a growing public health concern that requires special attention. Students frequently participate in activities without considering the influence on their own body, resulting in injuries that can have a negative impact on their health and daily activities. The goal of this study was to assess the association between students' knowledge, training, and attitude toward first aid for injuries in a state senior high school in Banjarmasin. A correlational study design and a cross-sectional approach were utilized in this investigation. Data was obtained from a total of 1280 respondents, and a sample of 114 respondents was analyzed using a basic random sampling technique with probability sampling, with Spearman's rho as the statistical test utilized. With a p value of 0.05, the results suggest that there is a relationship between the level of knowledge, training, and attitude and the level of accuracy in first aid. It can be concluded that understudies' knowledge, training, and state of mind influence the precision of giving first aid for injuries, so it is critical for understudies to have positive knowledge, preparation, and demeanor in giving first aid to avoid mistakes that can lead to crises. Keywords: Attitude, First Aid for Injuries, Level of Knowledge, Training
Integration Of Electronic Learning Resources in The Educational Process: Stages and Significance

This article describes the stages of implementation of the integration of electronic educational resources to increase the efficiency of independent education of students of higher educational institutions and the results of research on determining the practical importance of integrating electronic educational resources
Librarians’ Indices And Utilization Of Electronic Information Resources In Bowen University Iwo

This study determined the Librarians’ Indices on Utilization of Electronic Information Resources in Bowen University Iwo. Three research questions and three null hypotheses were formulated to guide the study. The study covered librarians’ (academic librarians) of Bowen University Iwo. Ex-post facto research design was used for the study. The population of the study was 7 academic librarians’. Census sampling technique was used for the study; and a sample size of 7 academic librarians was used. The instrument titled “Librarians’ Indices and Utilization of Electronic Information Resources Questionnaire (LIUEIRQ)” was developed by the researcher and validated by three librarians. Cronbach Alpha reliability method was used to compute the reliability of the research instrument which yielded a co-efficient of .72. The data collected were analyzed using mean and standard deviation for research question 1- 3, and t-test was used to test null hypotheses 1- 3. All the null hypotheses were tested at .05 level of significance. The findings indicated that librarians’ indices influenced the level of utilization of electronic information resources in Bowen Universities Iwo. The study concluded that Librarians’ Indices are significant determinants for the influence in the utilization of electronic information resources in Bowen University Iwo. Librarians’ indices and utilization of electronic information resources in Bowen University Iwo is very crucial for acquiring current, timely, relevant and up-to-date electronic information resources for academic activities. Based on the findings, the study recommended among others, that the librarians’ indices should not be barrier on their utilization of electronic information resources. Every librarian should be able and interested in making use of electronic information resources no matter of their status
Analysis of School Library Utilization in Developing a Literacy Culture for Elementary School Students at SDN Bendelan 1

Background: The cultural climate of literacy for elementary school students is intricately linked to the crucial role played by school libraries. Recognizing the significance of this connection, the research delves into understanding how school libraries contribute to the development of a robust literacy culture among elementary school students.&#x0D; Purpose: The primary aim of this research is to analyze the role of school libraries in fostering a literacy culture among elementary school students. Employing a descriptive qualitative research method, the study seeks to investigate the extent of library utilization, focusing on aspects such as book variety, literacy programs, and strategies designed to captivate students' interest in reading. Additionally, the research aims to explore collaborative efforts between librarians and teachers in enhancing students' literacy culture.&#x0D; Design and methods: The research employs a descriptive qualitative research method, utilizing interviews, observation, and documentation to collect data from school principals, teachers, and students. The data analysis focuses on evaluating the extent of library usage, the adequacy of book collections, and the effectiveness of literacy programs and strategies. The design also incorporates an examination of collaborative initiatives between librarians and teachers to attract students' interest in developing their literacy culture.&#x0D; Results: The findings of the research highlight the current state of the library collection at SDN Bendelan 1, indicating its adequacy but emphasizing the need for improvement in alignment with the Merdeka Curriculum. The results underscore the importance of ongoing development to ensure the relevance of library materials to the curriculum, ultimately meeting the evolving learning needs of elementary school students. This research provides valuable insights for educators, librarians, and policymakers to strategically enhance literacy initiatives in elementary schools through focused library collection development.
Library Promotion Strategy in the Digital Era

Background: The library is an institution that has an essential role in society. The efforts made by the library to carry out this role ensure that the public knows about the library's existence. The public can only use the library if they know its role. Thus, so that libraries can continue to carry out their role, libraries need to develop library promotion strategies. Promotion as a marketing activity carried out by libraries is essential so that the public knows about the products that the library can use. Society also uses digital technology to meet information needs in the digital era. However, society's tendency to use digital technology does not reduce the role of libraries as information institutions to meet society's information needs. The development of digital technology can be utilized to increase the existence of libraries through library promotion strategies.&#x0D; Purpose: This article reviews various promotional strategies libraries can implement using digital technology.&#x0D; Design and methods: The research method used is qualitative, with data collection techniques through document study and library observation via websites.&#x0D; Results: Promotional strategies that libraries can carry out are publications, advertising, sales promotions, personal sales, and digital marketing. Obstacles encountered in carrying out promotional activities are a consideration for libraries in determining promotional strategies that are appropriate to the conditions of the library.
SICURO+: A web platform to raise awareness on seismic risk in Italy

Italy is a country with high seismic risk. In the past many catastrophic earthquakes have occurred causing severe damage to buildings and infrastructures, serious economic impacts, and the loss of thousands of human lives. To mitigate the impact of seismic risk, as well as of other risks, many efforts have been made, implementing preventive structural measures and acting to raise awareness in the community. In Italy, this need was strengthened with the emanation of the new Civil Protection Code (D.Lgs January 2, 2018 n.1), with the purpose of encouraging the participation of citizens and spreading risk knowledge and the culture of civil protection, thus contributing to “increase the resilience of communities” (art. 31). As part of the agreement between the Italian Civil Protection Department (ICPD) and EUCENTRE (European Centre for training and research in Earthquake Engineering), an interactive web-tool was developed to allow citizens to display the most updated seismic risk maps. These maps were produced in 2018 by the ICPD, with the relevant support of the scientific community operating in the field of seismic risk, in particular of ReLUIS (The Laboratories University Network of seismic engineering) and EUCENTRE. The web-tool, named SICURO+ (Information System for Risk Communication, www.sicuropiu.it), was created to raise awareness in citizens on seismic risk in the place where they live, work, or go on holiday. Communication strategies and behavioural techniques were designed and tested experimentally with the support of behavioural scientists, as part of an agreement between the National School of Administration and the Prime Minister's Office.
KONSEP POLIGAMI MENURUT OEMAR BAKRY

This research is motivated by the widespread public response to polygamists, both for and against, with various views. Therefore, this research focuses on studying Oemar Bakry in interpreting verses that relate to polygamy in Tafsir Rahmat. Modern thinking and scientific approaches make Oemar Bakry have a different view in studying polygamy verses. This research uses a qualitative method approach library research. This research resulted in the conclusion that Oemar Bakry considers that the text which implicitly allows polygamy cannot be removed or abolished but requires a re-examination of the verse. So, according to Oemar Bakry, polygamy is used as an emergency exit which can be used in case of emergency. Second, the practice of polygamy must be based on justice both physically and spiritually, which is the main requirement, although it is adjusted to the abilities of the polygamist (husband). Third, must be connected mu'asyarah bil ma'ruf in marriage. Fourth, every problem needs to find a solution and the last resort is divorce if the problem cannot be fixed. Therefore, the ideal marriage according to Oemar Bakry is a monogamous marriage.
Music Player System for User Facial Recognition using CNN Algorithm

A strong language for expressing your emotion is music . Many pepole utilise music therapy to get through difficult time in their life. Emotion and moods can be easily reflected in music We often listen to energetic music when playing sports, and the same goes for fatigued or nervous people—a lovely, calming tune can help them relax."Melancholic Music" is a music player which play song based on your mood ,it uses neural network to categorise the many emotions on a person’s face, such as anger ,disgust ,fear etc. Neural network is a method in artificial intelligence .It is a type of machine learning process called deep learning .These neural networks reflect the behavior of the human brain, allowing computer programs to recognize patterns and solve common problems in diverse domains .The project also aims to create a playlist according to different emotion.Thus deep learning algorithms helps one automate a task that can take a long time to perform.
An Affect of Leadership and Compensation towards Employee Performance

This study aims to analyze the magnitude of the affect of leadership and compensation on the performance of PT Mutu Prima Utama employees both partially and together. This research is an explanatory research with a quantitative approach. The sample in the study was 43 respondents with a saturated sample method. Data collection techniques use observation techniques, questionnaires, and literature studies. The data analysis with multiple linear regression. The results showed that leadership and compensation were proven to positively and significantly affect the performance of PT Mutu Prima Utama employees partially or together, as for the impact of the contribution is strong at 54.1 percent.
Sentiment Analysis on Roman Urdu Students’ Feedback Using Enhanced Word Embedding Technique

Students’ feedback is crucial for educational institutions to assess the performance of their teachers, most opinions are expressed in their native language, especially for people in south Asian regions. In Pakistan, people use Roman Urdu to express their reviews, and this applied in the education domain where students used Roman Urdu to express their feedback. It is very time-consuming and labor-intensive process to handle qualitative opinions manually. Additionally, it can be difficult to determine sentence semantics in a text that is written in a colloquial style like Roman Urdu. This study proposes an enhanced word embedding technique and investigates the neural word Embedding (Word2Vec and Glove) to determine which performs better for Roman Urdu Sentiment analysis. Our suggested model employs the BiLSTM network to maintain the context in both directions and eventually, results for ternary classification are obtained by using the final softmax output layer. A manually labeled data set was used to evaluate the model, data is collected from the HEIs of Pakistan. Model was empirically evaluated on two datasets of Roman Urdu, the newly developed student’s feedback dataset and RUSA-19 publically available data set of Roman Urdu. Our model performs effectively using the word embedding and BiLSTM layer. The proposed model is compared with the baseline models of CNN, RNN, GRU and classic LSTM. The experimental findings demonstrate the proposed model's efficacy with an F1score of 90%.
The Effect Of Optimizers On The Generalizability Additive Neural Attention For Customer Support Twitter Dataset In Chatbot Application

When optimizing the performance of neural network-based chatbots, determining the optimizer is one of the most important aspects. Optimizers primarily control the adjustment of model parameters such as weight and bias to minimize a loss function during training. Adaptive optimizers such as ADAM have become a standard choice and are widely used for their invariant parameter updates' magnitudes concerning gradient scale variations, but often pose generalization problems. Alternatively, Stochastic Gradient Descent (SGD) with Momentum and the extension of ADAM, the ADAMW, offers several advantages. This study aims to compare and examine the effects of these optimizers on the chatbot CST dataset. The effectiveness of each optimizer is evaluated based on its sparse-categorical loss during training and BLEU in the inference phase, utilizing a neural generative attention-based additive scoring function. Despite memory constraints that limited ADAMW to ten epochs, this optimizer showed promising results compared to configurations using early stopping techniques. SGD provided higher BLEU scores for generalization but was very time-consuming. The results highlight the importance of finding a balance between optimization performance and computational efficiency, positioning ADAMW as a promising alternative when training efficiency and generalization are primary concerns.
Updated exploration of the Tor network: advertising, availability and protocols of onion services

Abstract The Tor network is known for its opaque characteristics and involvement in illicit activities, motivating to shed light on the exposure, lifetime, and functionalities of onion services. This study focuses on the appearance of Tor links in online advertising and monitors the connectivity status and protocols of the collected onion domains through the Tor network over 105 days. Out of 54,602 onion addresses gathered, it was found that 38% of Tor links were advertised only once, 43% between two and five times, and 19% more than five times. Furthermore, 50% of the addresses were exclusively advertised on the surface web, 6% on the dark web, and 44% on both portions. The temporal analysis revealed that 67% of the addresses were predominantly active, 7% were intermittent, and 26% were mostly inactive. The study examined fifteen protocols used by onion services, concluding that 94% employed a single protocol, while 6% utilized between two and eight protocols. Among active sites, HTTP was present in 99.75% of cases, followed by SSH (4.95%) and HTTPS (0.64%). Additionally, onion services without web services often deploy cryptocurrency or instant messaging servers. This study offers a comprehensive and current understanding of the dark web, surpassing previous research in its scope.
ViViD: Aplikasi Kencantikan sebagai Wadah Edukasi dan Identifikasi Personal Color&lt;b&gt;&lt;/b&gt;

Makeup has been a part of human culture for more than 6000 years, continuing to evolve as new trends emerge in the beauty industry. Everyone has a unique color of skin, eyes, hair, makeup applications are created to determine personal color and shade. The application aims to increase user confidence by helping them find the best matching makeup color based on their individual characteristics. Using the SMART method in its development, the app focuses on specific features such as personal color identification and appropriate makeup color recommendations. Measurable aspects involve calculating the accuracy of personal color recommendations and makeup colors. The initiative is highly relevant, addressing the general concerns of women and in line with the growing market demand for makeup as a lifestyle