Reviewerly/exHarmony huggingface dataset:
Withdrawal Notice: A Novelistic Approach for Delivering of API through a Transvermillion Route: An updated review

The article has been withdrawn at the request of the editor of the journal Current Drug Research Reviews due to incoherent content. Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused. The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php Bentham Science Disclaimer: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submit- ting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.
The QoS evaluation model for cloud resource node

The service quality of resource nodes in a cloud service system can reflect the capability of the system in providing users with services. In this paper, we focus on the evaluation of cloud service quality to build Cloud_MQOSF, a cloud service quality of service (QoS) evaluation framework with availability, reliability, service performance, and scalability as the evaluation indexes. This architecture can rapidly and stably evaluate quantitatively the service capabilities of resource nodes in a cloud service system. Several sets of experiments are carried out using the operational data of a well-known cloud service provider and the quality of web service dataset. The experimental results show that the model not only effectively evaluates the quality of service of resource nodes in a data center, but is also fast and stable. This provides a favourable basis for resource allocation in the cloud.
Analysis of English Vocabulary Collocation Errors and Its Coping Strategies Based on Big Data

Abstract In the process of English teaching, there are still some prominent problems, such as English vocabulary collocation errors. At that time, due to the lack of systematic analysis and research, it was difficult to quantify the internal causes and types of students’ English vocabulary collocation errors. Based on this, this article first analyzes the role of word collocation in English language learning, secondly studies the types of students’ English vocabulary collocation errors, and finally gives a way to improve students’ word collocation ability based on big data.
Game Edukasi Mata Pelajaran Matematika Kelas VI Sekolah Dasar Berbasis Android

This study aims to describe the development of learning media for Android-based elementary school mathematics educational games for mathematics lessons in elementary schools. From the results of this study, the research method chosen is the waterfaal method, with a development model consisting of 5 stages, namely: (1) planning stage, (2) design stage, (3) manufacture stage, (4) testing stage, (5 ) Implementation Phase. The results of the determination show that the Android-based educational game teaching facility for elementary school mathematics is feasible to use for learning elementary school mathematics. The design of this application is specifically for students as users. The application is designed for a running system that will be built in the form of a Use Case.
Secure and Efficient Product Information Retrieval In Cloud Computing

The Publish and Subscribe (pub/sub) framework is a set up worldview to scatter the information from distributers to supporters in an inexactly coupled way utilizing an organization of devoted representatives. Be that as it may, touchy information could be presented to vindictive elements if specialists get bargained or hacked; or far more terrible, if intermediaries themselves are interested to find out about the information. A reasonable component to ensure touchy distributions and memberships is to encode the information before it is dispersed through the merchants. Cutting edge approaches permit dealers to perform encoded coordinating without uncovering distributions and memberships. Nonetheless, if malignant representatives plot with pernicious endorsers or distributers, they can get familiar with the interests of blameless supporters, in any event, when the interests are scrambled. In this article, we present a bar/sub framework that guarantees privacy of distributions and memberships within the sight of untrusted merchants. Moreover, our answer opposes conspiracy assaults between untrusted dealers and malignant supporters (or distributers). At long last, guarantee the security of distributions and memberships. To shield touchy data from untrusted agents[16], a few works propose to scramble the distributions and memberships so that the specialists can in any case coordinate [17]with the memberships against the distributions' labels without learning their substance. Accordingly, memberships and distributions are shielded from representatives. Nonetheless, it is as yet conceivable for malicious merchants to intrigue with endorsers and distributers[18]. In particular, a vindictive endorser could intrigue with an intermediary by unveiling the substance of her memberships. Thusly, regardless of whether the membership from a guiltless supporter is scrambled[19], the representative can in any case induce the substance by checking if the memberships from both an honest endorser and a malevolent endorser match a similar distribution labels[20]. Moreover, a pernicious distributer could mount an information infusion assault, i.e., distribute a phony distribution to gain proficiency with supporters' inclinations. In particular, a pernicious distributer can intrigue with a specialist to uncover the interests coordinating with the phony distribution. In this manner, to successfully guarantee the protection of memberships, it is likewise important to oppose plot assaults between agents, distributers, and supporters. The strategy against conniving supporters and merchants was first concentrated by Raoet al. Lamentably, there is little work done on arrangement assaults with regards to get bar/sub frameworks.
The Problem with Student Surveillance: A Critical Examination of Google Drive

As a result of COVID-19, schools around the world quickly (and in some cases completely) shifted their instruction to online platforms. While this solved a number of temporary problems and allowed students to continue their education during the pandemic, scholars warn that an uncritical adoption of education technology can be problematic for a number of reasons, including the surveillance and “datafication” of students and control of student behaviors This article gives a critical examination of education technology that purports to have only positive effects on student learning and growth. Using Foucault’s theory of the panopticon and how surveillance is often used as a means of power, fear, control, and identity formation, the article argues that education technology can have a negative consequence. In particular, the article interrogates instructors’ use of Google Docs, which is an increasingly popular online platform that has been part of the Google Suite for Education since 2006. It has become so commonplace in education institutions that it is almost invisible, which is an important reason why this application—along with the various other old and new education technologies on the rise—merit a second look. The research questions of this article are two-fold: 1) Does the required use of Google Docs jeopardize student privacy and autonomy? 2) If so, how does this affect students’ learning, equity, self-perception, and self-determination? Ultimately, the article argues that Google Docs, and many other technologies like it, further extend and centralize the authority of the professor and that this can have negative consequences on student independence, equity, morale, and learning. © Common Ground Research Networks, Cara Miller, All Rights Reserved.
Exploring Interactive Multimedia In Literal Reading Class

The aim of this study was to investigate the impact of interactive multimedia to students’ reading comprehension at Literal Reading class. All participants were conveniently selected from the first year students of English Language Education Department at  Nusantara PGRI Kediri University. Thirthy participants were assigned as a sample. Quantitative method and experimental approach with One-Group Pretest-Post design were applied in this present study. Data collection through pre-test and post- test. Pre-test was administered before treatment, while post-test was administered after treatment. After gaining the data, t- test was analyzed using SPSS 23. The analyzes resulted in the finding that there was a significant difference score in pre- test and post-test. The mean score of post-test was better than pre-test. Thus, it can be said that interactive multimedia can impact the students’ reading comprehension of the first year of English Language Education Department at Nusantara PGRI Kediri University.
Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input

Articulatory information has been shown to be effective in improving the performance of HMM-based and DNN-based textto-speech synthesis.Speech synthesis research focuses traditionally on text-to-speech conversion, when the input is text or an estimated linguistic representation, and the target is synthesized speech.However, a research field that has risen in the last decade is articulation-to-speech synthesis (with a target application of a Silent Speech Interface, SSI), when the goal is to synthesize speech from some representation of the movement of the articulatory organs.In this paper, we extend traditional (vocoder-based) DNN-TTS with articulatory input, estimated from ultrasound tongue images.We compare text-only, ultrasound-only, and combined inputs.Using data from eight speakers, we show that that the combined text and articulatory input can have advantages in limited-data scenarios, namely, it may increase the naturalness of synthesized speech compared to single text input.Besides, we analyze the ultrasound tongue recordings of several speakers, and show that misalignments in the ultrasound transducer positioning can have a negative effect on the final synthesis performance.
Nonclassicality Phase-Space Inequalities: Theory and Experiment

We derive phase-space-inequality conditions for the verification of nonclassicality and implement them experimentally. We certify quantum correlations even if the phase-space distributions are nonnegative and demonstrate noise and loss robustness.
Augmented Reality Implementation on Physical Therapy Exercise

Physical therapy exercise (PTE) is a planned physical activity that is enabled to enhance body functions, reduce risk and improve the overall health of a person. In this research, range of motion (ROM) for shoulder PTE was investigated. There are three types of shoulder PTE involved: shoulder horizontal flexion and extension, shoulder external rotation and shoulder flexion and extension. To compare the conventional shoulder PTE with the shoulder PTE that is implemented with current technology, an augmented reality (AR) application is designed and implemented to those shoulder PTE. In this research, it is found that ROM of shoulder horizontal flexion and ROM of shoulder flexion were classified well between the group with AR and the group without AR. This is due to their classification accuracy is quite high in the KNN classifier (accuracy >80%). Lastly, the group with AR and group without AR for each ROM of shoulder PTE are compared using paired sample t-test. The result showed that all the ROM of shoulder PTE has a high significant difference (when p-value <0.05) between the group with AR and group without AR as the p-value is extremely small.
The Use of Dictionaries in Teaching Arabic language: A Descriptive Analytical Research paper on the Procedures of using Dictionaries in the Islamic Institutions in Aceh- Indonesia

This paper aims at: 1- Knowing the types of dictionaries in Arabic language, 2- Knowing the mostly used dictionarie at the Islamic institution in Aceh, and 3- showing how to use dictionaries in teaching Arabic language at the Islamic institutions in Aceh. The applied is the qualitative descriptive analytical approach is adopted. The paper concludes that dictionaries are divided according to subjects into three categories: linguistic, encyclopedic and historic dictionaries. According to the languages used, dictionaries are classified into Unilingual, bilingual and multilingual dictionaries. According to their subjects, dictionaries are classified into General, and special dictionaries and according to arrangement they are classified into alphabetic and subject dictionaries. As for form, they are classified into paper dictionaries and digital dictionaries
Red Blood Cell Shapes Parameterization Using Partial Differential Equations

The research aim’s is to produce distinguishable shapes of red blood cells (RBC) by utilizing partial differential equations (PDE). This work employs the solution of a fourth-order elliptic PDE in alliance with a group of boundary conditions as a technique to design the shapes, known as the PDE method. This method can generate various surfaces based on a boundary representation with fewer parameters. Furthermore, it is easy to modify the shape of PDE-based surfaces because it is characterized by data scattered around the boundaries. The findings showed that the PDE method is suitable in designing a normal RBC’s shape. In addition, two equations have been obtained from the data regarding the normal RBC’s radius and height. These equations can be utilized to transform the parametric design of RBC to abnormal cells by changing the value of some parameters. In conclusion, the PDE method is capable to create smooth parametric surface representations of any given blood cells shape, as well as surfaces of complex geometries which then can be easily modified.
Research on the Current Situation and Countermeasures of Cultivating Craftsman Spirit of Vocational Students

With the advent of the new era, the content of education reform is constantly changing, and at the same time, more emphasis is placed on cultivating students’ craftsmanship in order to cultivate advanced talents that meet the development requirements of the new situation.
Photonic Spiking Convolutional Neural Networks for High-Speed Image Processing

A multi-layer photonic spiking convolutional neural network is presented, based on miniaturized VCSELs, targeting image classification. Spatial information is encoded using a time multiplexing scheme providing a radical reduction of physical neuron-count. Hardware-friendliness is enhanced by exploiting unsupervised spike-timing dependent plasticity.
Natural Interaction Technology in Virtual Reality

Natural interaction allows a user to interact with a computer system in a parallel and non-precision mode via multiple interactive channels based on own inner perceptions and cognition skills. With the technology of virtual reality(VR), a simulation environment is generated by a computer, the user can investigate or operate objects in the virtual world using natural skills of humans, and intuitional and natural real-time perceptions such as seeing, listening and touching are provided. Brand-new technological support is provided by this technology to natural human-computer interactions. Based on introduction to technological theories of Human-Computer Interactions(HCI), the paper makes elaborate analysis on key technologies and research status quo of multiple natural interaction techniques in virtual reality and comes up with its development prospect in the future.
study on the automatic representation mechanism of legal discourse information

Awarding Institution: Center for Linguistics and AppliedLinguistics, Guangdong University ofForeign Studies, ChinaDate of Award: 27 December 2019
Caminhos e vertentes: os sentimentos reprimidos pelos profissionais de saúde da linha de frente da pandemia pela COVID-19

The aim was to identify the feelings repressed by health professionals in the face of the COVID-19 pandemic. Experience report carried out by nursing interns at a municipal health center in the city of Rio de Janeiro. The performance of this practice enabled the opportunity to listen to health professionals from different areas of expertise, in which it was possible to identify the feelings repressed by them during the COVID-19 pandemic. The experience of six students from the penultimate period of the nursing graduation was narrated who, while fulfilling the mandatory internship time at a municipal health center, came across overworked professionals, with a high demand for services due to the consequences of the COVID pandemic -19. The physical and mental burden of health professionals, especially the nursing staff, is evident in this pandemic scenario. It is important, therefore, to have a more sensitive look at workers, so that they can express the feelings they experience, and thus mitigate the suffering in the face of physical and emotional exhaustion in dealing with the pandemic.
Object Segmentation using Local Histograms, Invasive Weed Optimization Algorithm and Texture Analysis

Most of the methods proposed for segmenting image objects are supervised methods which are costly due to their need for large amounts of labeled data. However, in this article, we have presented a method for segmenting objects based on a meta-heuristic optimization which does not need any training data. This procedure consists of two main stages of edge detection and texture analysis. In the edge detection stage, we have utilized invasive weed optimization (IWO) and local thresholding. Edge detection methods that are based on local histograms are efficient methods, but it is very difficult to determine the desired parameters manually. In addition, these parameters must be selected specifically for each image. In this paper, a method is presented for automatic determination of these parameters using an evolutionary algorithm. Evaluation of this method demonstrates its high performance on natural images.
Fertilization of Food Waste Management in UTHM’s Cafeteria Using Arduino

Everyday food is consumed by humans for survival and basic needs for daily consumption. When humans eat food, there will be waste such as unfinished food or bones. With increasing food waste on earth, it can cause many kinds of diseases if the waste is not managed properly. Tons of food waste are created yearly on earth. To overcome the food waste problem, composting was introduced so we can recycle the food waste into compost fertilizer that can help improve soil nutrition. This research paper presents an overview of Fertilization of Food Waste Management in UTHM’s Cafeteria. This project aims to produce compost fertilizer within a shorter time. The machine will preserve the food waste and let it decompose by letting good bacteria eat the waste. The machine will create an optimum temperature so that the microorganism can live and decompose food waste into fertilizer. Temperature and moisture are monitored during the decomposition of food waste. With the help of this machine, food wastage that produces daily can be reduced. Different kinds of pollution and sickness can also be reduced so that humans can live in a healthy world.
A Case Study on Optimal Mix Electricity Generation and Demand Calculation of Bangladesh By 2042

Bangladesh has demonstrated strong economic fundamentals with a consistent GDP growth rate over 7 percent in last few years. With this rapid economic growth, the demand of electricity will also be increased. Since the development of power sector is dependent on many factors, the power sector of Bangladesh is very challenging. In this case study, a brief discussion on Power sector of Bangladesh has demonstrated with recent information and data including power crisis of the country. Future plans and programs of Power sector has been discussed too. A detailstudy on power demand and production is also calculated. Our main objective was to provide a genuine power scenario of Bangladesh and calculate the upcoming demand by 2042 which will be followed by some recommendations through which the Power sector of Bangladesh can improve. The forecasting was calculated by multiple regression analysis using GMDH Streamline software.
Upcycling eco village in Perhentian Kecil island

Upcycling and recycling are among the components under solid waste management which needs to be carried out in order to make solid waste management successful in Malaysian marine park islands. Current issues at marine park islands are accumulation of solid waste in the sea which is destroying the marine ecosystem. In Malaysia, about 80% people are aware about the importance of recycling. However, not many people understand the concept of upcycling especially in marine park islands. Some may have misunderstood the difference between upcycling and recycling. This research focuses on what are the best and new solutions to educate islanders on the application of both upcycling and recycling at Perhentian Kecil Island. The aims of the research are to reduce solid waste in Perhentian Kecil Island and to provide a platform for people to learn the entire process turning waste into valuable products. An upcycling eco-village is proposed to improve the knowledge of upcycling and recycling. Interviews, questionnaires, observation and case studies techniques were used tocollect the data. The findings were used to formulate design brief and schedule of accommodation for upcycling and recycling centre. The centre will help to reduce the issues of solid waste accumulation on the marine park islands .
Enhanced Time Quantum based Round Robin Algorithm for Cloudlet Scheduling in Cloud Environment

The contemporary organization integrates most of the required resources into their business environment by adopting or leasing the cloud resources that are offered by many of the remote cloud service providers. The cloud computing renders hassle free installation, deployment and maintenance of the resources. The cloud resources and services are observed to be pervasive in nature and therefore efficient technologies are to be adopted in order ensure the effective resource utilization and optimal service delivery to the cloud users. Generally virtualization, optimal scheduling techniques like cloudlet scheduling, virtual machine scheduling and load balancing strategies maximize the resource utilization and service delivery. This paper outlines the foundation concepts of cloud computing and proposes an algorithm named Enhanced Time Quantum based Round Robin Algorithm (ETQRRA). The ETQRRA is proposed to reduce the response time, waiting time, turnaround time and the number of context switching. The result of ETQRRA algorithm is compared with various versions of the existing Round Robin algorithms like Classic Round Robin Algorithm (CRR), Improved Shortest Remaining Burst Round Robin (ISRBRR), Half Life Variable Quantum Time Round Robin (HLVQTRR), Improved Round Robin Varying Quantum (IRRVQ) and Dynamic Time Quantum Round Robin (DTQRR) algorithms to prove the efficiency of ETQRRA. The comparative study shows the performance of ETQRRA outdo the other algorithms taken for the comparison.