Reviewerly/exHarmony huggingface dataset:
IDENTIFIKASI AMPHETAMINE, METHAMPETAMINE DALAM URINE SISWA SMA “X” METODE STRIP STICK

Amphetamines called alpha-methyl-phenethylamine, beta-phenyl-isopropylamine, or benzedrine are a class of simulants used to treat hyperactivity disorder due to inattention in adults and children. Methamphetamine is a drug that belongs to the amphetamine class. It works the same way as amphetamine can increase alertness, concentration, and when taken at high doses can cause euphoria. In general, marijuana is used through cigarettes, including the hallucinogenic drug group and class 1 drugs. The harmful impact of drugs on adolescents and especially for students is that drug use can cause negative effects that will cause mental and behavioral disturbances in a person, resulting in disruption of the neuro-transmitter system in the brain. nerves in the brain. Amphetamine and methampetamine levels were lowest in stems, roots and seeds, while the highest levels were found in flowers, sap and leaves. The type of research carried out is a qualitative analysis with the method of examining samples using ICT (Imunochromatography Test) with amphetamine and methamphetamine strips/sticks. The population in this study were 15 students of class XI SMA "X". The research conducted, took all the urine of class XI students. The urine collection process was carried out at the "X" School and then examined directly at the Science Laboratory in March 2022. The results of the overall urine sample examination were negative for amphetamine and methampetamine.
ANALISIS MODEL MATEMATIKA PENYEBARAN PENYAKIT ISPA

Acute Respiratory Infection (ARI) is an infectious disease caused by bacteria and an unhealthy environment. The number of sufferers of this disease tends to increase and expand. The purpose of this study was to construct a mathematical model of the SEHAR epidemic (Suspectible-Exposed-Infected-Asthma-Recovered), analyze the stability of the equilibrium point and simulate the model. The results obtained are the SEHAR mathematical model for the spread of ARI disease which produces a disease-free equilibrium point and an endemic equilibrium point from the model. The method used is the stability analysis of the model using the Routh-Hurwitz Criteria to identify the characteristics of the eigenvalues. From the results of the stability analysis, it is found that the disease-free equilibrium point Eo and the endemic equilibrium point E1 are stable if the conditions for the relationship between parameters are met. At the end of the study, a simulation model was given using the Maple application
Depth Camera Calibration Using 4 Spheres on Tetrahedron Corners

In this study, a system including 4 depth cameras (Kinect v1) was constructed for 3-dimensional reconstruction of an object. As with all cameras, the calibration parameters of the cameras used must be known in order to transform from image coordinates to world coordinates in depth cameras. Contrary to the studies that use flat calibration objects such as checkerboard and infrared images, which are frequently encountered in the literature, in this study, only depth images of the cameras were used to find intrinsic and extrinsic parameters of a depth camera. For the calibration process, a new tetrahedron calibration object with 4 equiradius spheres was designed, the sphere centers were determined in the world and image coordinates, and the projection matrix method was applied. The minimum number of matching points required by the original projection matrix method was reduced from 6 to 4 with the help of depth information. A new calibration object and method was developed to provide successful 3-dimensional reconstruction results of 4 depth cameras with the use of only 4 matching points and can be used in all types of depth cameras.
Tableau for the logic ILP

A tableau system for a logic suitable for intuitionistic reasoning about probabilities is presented. Soundness and completeness of the system are proved. A decision procedure based on the tableau system is given.
Bring Store in My Room: AR Store Authoring System for Spatial Experience in Mobile Shopping

We propose an AR store authoring system that enables the users to customize a physical space to promote spatial experience in mobile AR shopping. The current state of AR shopping research attempts to enhance the shopping experience by presenting virtual items onto the user's space. However, under the notion that the stores and products are inseparable in creating a holistic shopping experience, we set to make a shopping experience that encompasses both elements. Instead of simply augmenting a whole store, this study introduces a space adaptive AR store that divides a virtual store into multiple sections and places them onto physical space according to the labeled surfaces. This prototype mobile application intends to deliver a complete spatial shopping experience by allowing the users to customize the stores in their space and ultimately attach the store experience to the AR shopping system. This study aims to introduce new scalability of the AR technology application in remote shopping.
Preface: VIII International Annual Conference “Industrial Technologies and Engineering” (ICITE 2021)

First Page
English Characters Recognition by Stroke Features and Lightweight Artificial Intelligence

More than 50 typesetting fonts are in common use for the printing of English text; a given letter of the alphabet has (in principle) a different representation in every font. An automatic system for reading English text may encounter any of these representations. However, existing approaches to English character recognition generally ignore font differences; moreover, those based on deep learning are often trained on only one font because of computing constraints. To address this problem, we first decompose the characters of a given font into their constituent strokes (directed line segments). We then use the stroke information as input to a simple convolutional neural network—the Very Lightweight Network (VLNet). Stroke-based feature extraction reduces the requirement for graphics data and thus the training-input size. Because the network is small and efficient, it is suitable for edge computing and use in the Internet of Things. Experimental comparison with standard character-recognition systems LeNet and AlexNet shows that VLNet’s accuracy for unknown fonts is 97.81%, better than LeNet’s 96.67% and AlexNet’s 91.15%; its accuracy for known fonts is 99.1%, better than LeNet’s 98.59% and AlexNet’s 95.48%. When implemented on Raspberry Pi 4B, the prediction time per character is between 4.44 and 4.61 ms.
Ksenofontova, Alexandra (2020), The Modernist Screenplay: Experimental Writing for Silent Film. Cham: Palgrave Macmillan imprint / Springer Nature Switzerland.

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Intelligent Terminal Computation Offloading Method Based on the Incentive of Reputation Value

Existing researches that apply blockchain into computation offloading do not consider the enthusiasm of terminals to participate in computation offloading, the fairness of terminals to obtain bookkeeping right and the consensus mechanism that applicable to computation offloading between terminals. So, in this paper, a computation offloading method based on reputation value incentive is proposed, and the detailed workflow of this method is designed. In the workflow, a computation resource allocation method based on dynamic adjustment auction, a mining difficulty setting method based on intelligent terminal devices (ITDs) clustering and an improved POW consensus mechanism based on reputation value (RVPOW) are proposed to ensure the fairness of ITDs to obtain bookkeeping right and improve the enthusiasm of ITDs to participate in computation offloading and blockchain consensus. Simulation results show that the proposed computation offloading method can encourage ITDs to participate in computation offloading, and the RVPOW consensus mechanism can achieve fast consensus.
FORMATION OF DIGITAL LITERACY OF CHILDREN SENIOR PRESCHOOL AGE

Introduction. The era of informatization of society was replaced by a new one – the era of digitalization. The latest technologies and unlimited amounts of information can qualitatively change the global market in general and the market of educational services in particular. Digital literacy is the most sought-after quality of a modern specialist, and the ability to operate with content is an indicator of a person's ability to successfully engage in any activity. Mastering digital literacy in preschool is not only a requirement of time, but also an advantage that has a positive effect on the formation of other vital skills and competencies. The purpose of the article is to substantiate the relevance of the formation of digital literacy in older preschool children, taking into account their age characteristics. The main research methods are the following: theoretical analysis of scientific and methodological literature, regulations and online content on digital literacy, as well as comparison, classification and generalization. Results. The concept of digital literacy implies the ability of an individual to independently and creatively apply digital technologies and systems in compliance with digital security standards. At the heart of the process of forming digital literacy of preschool children we see their cognitive development, highlighting its three key components: cognitive, activity and motivational. We consider it appropriate to differentiate the knowledge, skills and experience necessary to characterize each component. At the same time, we propose to compare the level of digital literacy of older preschool children with the following: knowledgeable, higher basic, basic, lower basic and formal. We see the originality in substantiating the relevance of digital literacy in preschool children and comparing the age characteristics of this category of children with their potential to acquire the necessary knowledge and experience to work with the digital world. The paper also summarizes the psychological and pedagogical provisions that should be followed in the process of forming digital literacy of older preschool children. Conclusion. The formation of digital literacy of older preschool children is an urgent need of modern society. At the same time, digital technologies are able to enrich the educational process of preschool education with a variety of ways and opportunities to access unlimited information and resources. Therefore, the educator is called to provide the necessary conditions for the successful development of this quality in the growing generation, which we consider a prospect for our further research.
Creating Blog Posts

In the previous chapter, we implemented authentication and authorization in our application and registered a user with admin rights. Now we can get our application completed!
Organisation Culture, IT Infrastructure and KM Process influencing KM Effectiveness in a Malaysian Manufacturing Company

This study aims to examine the relationship between Organisation culture, IT infrastructure and Knowledge Management Process, towards Knowledge Management implementation effectiveness in a Malaysian manufacturing company. This study was conducted among the permanent employees across all departments in the GLC Manufacturing Plant in Malaysia. Quantitative data were collected using self-administered questionnaires to a sample of 108 permanent employees. Based on the findings from multiple regression analysis, Organisation Culture had the most significant impact towards KM implementation effectiveness; whilst IT Infrastructure had a significant relationship but KM Process had no significant relationship with KM implementation effectiveness. The study had made significant contribution where it extended the literature on KM enablers influencing KM implementation effectiveness and contribute towards strategizing better policies on organizational culture and IT Infrastructure to improve overall KM effectiveness in manufacturing organization.
Pelatihan Pembuatan Media Pembelajaran dari Barang Bekas bagi Guru SD N 006 Tanjung Bungo

The implementation of this service is motivated by the lack of awareness of teachers about the importance of using learning media, lack of motivation of teachers to carry out learning using effective, efficient, creative, and innovative media, the inability of teachers to use learning media. Based on this, this service is carried out with the aim of providing an understanding of the importance of elementary science learning media, especially for the High Class, providing insight into the types of science learning media and making science learning media by utilizing used goods, especially the high class. The result of this service is that participants can understand, perform, and create and utilize learning media from used goods.
Recent Significant Insights and Paradigm Shift in Accounting Trends in the Modern World

In today's business world, accounting and accounting professionals are essential. Every business must keep accurate books of accounts in order to know how profitable and effective it is and to ensure its survival in the competitive market of today. Because accounting control is the most crucial component of any organization, the role of an accountant is expanding today. This review illustrates the current accounting trends in contemporary business and the challenges faced by accounting professionals. For this reason, every person who runs a business needs to read this review that focuses on a survey on maintaining accounting records. Accountancy must conduct research on various accounting standards due to internal and external factors. No matter the state of the economy, the growth factor is exponential because books will improve the client's ability to survive. The level of organization competition in the current market has an impact on the role of the accountant. The role of accounting professionals affects not only internal factors, such as business operation, budgetary control, fund management, cash management, and cost management, but also external factors, such as government policies, risk in achieving sales targets among similar organizations, compliance with records with the tax authority, nature of the market, and economic conditions in a specific area, among others. With the advancement of computer and Internet technology, the network has benefited businesses while posing new challenges for the expansion of the accounting sector. Accurate and quick transmission of financial data is made possible by the combination of conventional financial accounting techniques and computerized information technology. The use of network technology also streamlines the financial accounting procedures of businesses, greatly increases the effectiveness of accounting work, and frees up accountants to focus more time and effort on the analysis of business financial data. However, the change in financial accounting brought about by the use of Internet technology has also led to new issues. The findings are based on data from studies, polls, and publications from reputable international and professional accounting organizations.
A Study on Efficient Multi-task Networks for Multiple Object Tracking

Multiple object tracking involves multi-task learning to handle object detection and data association tasks concurrently. Conventionally, object detection consists of object classification and object localization (e.g., object regression) tasks, and data association is treated as a classification task. However, various tasks can cause inconsistent learning due to that the learning targets of object detection and data association tasks are different. Object detection focuses on positional information of objects while data association requires strong semantic information to identify same object target. Besides, advantageous character of multi-task learning is the correlation between tasks, and adopting such character in learning the networks can result in better generalization performance. However, existing multiple object tracking methods learn this information by treating multi-task branches independently. To understand the behaviours of multi-task networks in multiple object tracking, in this paper, we explore task-dependent representations through empirical experiments and observe that multi-task branches in multiple object tracking are complementary. To better learn such information, we introduce a novel Correlation Estimation (CE) module to estimate the correlation between object classification and bounding box regression based on statistical features of box regression quality. Finally, extensive experiments are conducted on the benchmark dataset MOT17. As a result, our method outperforms state-of-the-art online trackers without requiring additional training datasets.
vGPUPCD: Design and Implementation of Virtual GPU on Private Cloud Desktop

This paper proposes to design and implement GPU virtualization on the Private Cloud Desktop merged into the Teaching and Practical Platform of Zhijiang College of Zhejiang University of Technology to fill in the blanks to create and apply rending 3D applications. The analysis of the performance of the vGPUPCD has been also studied in this paper and some properties has to be tested on the experiments: 1) The video memory size of vGPU has been interaction with the memory size and the amounts of CPU cores and the minimum resources requirement has to be evaluated by experiments that the memory size is the memory size of system demand and add to the twice of the GPU video memory size and the 1G video memory of vGPU is equipped with 2 virtual CPU cores and so on. 2) The GPU memory usage of vGPUPCD has consumed 10% more than the local PCs if the same performance are reflected when opening or rending the 3D applications because vGPU has occupied no more than 10% of the GPU memory usage through the cloud desktop is powered on.
Correction to: Recent Advances in Energy-Efficient Resource Management Techniques in Cloud Computing Environments

This book was inadvertently published with incorrect affiliation of Chapter 2 author Dr. Niloofar Gholipour. We have now updated the author affiliation as follows:
SIMPLE ADDITIVE WEIGHTING SEBAGAI METODE SELEKSI SISWA BERPRESTASI PADA SMA NEGERI 1 PARDASUKA PRINGSEWU

Senior High School (SMA) 1 Pardasuka also known as SMANSAPAR is one of the public high schools in Pringsewu Regency which has a vision and mission to create outstanding students with various kinds of achievements from several criteria. So students are required to have special skills accompanied by good achievements. In this case, the selection of outstanding students must be carried out properly and correctly so that it results in the selection of high-quality and accountable students someday. A decision support system is needed to assist the selectors in determining an outstanding student. In the process of developing a decision support system to determine exceptional students at the SMA Negeri 1 Pardasuka, a decision support system is needed using the Simple Additive Weighting method. This method was chosen because it is able to select the best-achieving students from a number of outstanding students, namely by calculating based on the specified criteria, namely the average report card, class ranking, attendance (attendance), organizational activity, competition participation, morals, accumulation of violation points, achievement certificate. Based on the test results, the system built can help the selection teamwork for outstanding students, thus speeding up the selection process, reducing errors and making it easier for the selection team to determine outstanding students.
Anti-sunlight Interference posture-sensing and digital twin technology applied to intelligent construction machinery

This study proposes an optical motion capture technology that can resist sunlight interference outdoors. The proposed technology has the characteristics of high precision and omnidirectional posture sensing; additionally, digital twin model corresponding to the posture sensing technology adapts to the trends of automated and unmanned construction machinery. First, two innovative optical marker solutions comprising infrared-absorbing material are used to reduce near-infrared light interference. Then, a posture capture system for a grader is designed, including 72 infrared-absorbing optical markers arranged on four cylinders, one turntable, and one blade of the grader; further, a total of seven infrared cameras are configured at multiple spatial angles. The grader experiment demonstrates that infrared cameras can accurately acquire the 3D spatial position information of a digital twin model of the grader with submillimetre accuracy within a millisecond. These results satisfy the automated control of the machine. Finally, the compound operation of the grader's complex components is optimized for automatic operation.
Towards Word Sense Disambiguation for Latvian

The goal of this paper is to describe the current situation on word sense disambiguation for Latvian, reviewing the available data and potential problems, and describing the exploration of word sense disambiguation methods using BERT contextual embeddings in order to apply them to Latvian language.Training is performed on a recently developed dataset of sense example sentences.The experiments of this paper demonstrate the feasibility of the approach by applying a mixture-of-experts approach of word sense disambiguation to the data, developing the first proof of concept WSD system for Latvian using state of art approaches.An evaluation of the WSD solution was performed on a selection of 18 highly ambiguous words, demonstrating reasonable performance.
Ω<sup>2</sup>: Optimal Hierarchical Planner for Object Search in Large Environments via Mobile Manipulation

We propose a hierarchical planning algorithm that efficiently computes an optimal plan for finding a target object in large environments where a robot must simultaneously consider both navigation and manipulation. One key challenge that arises from large domains is the substantial increase in search space complexity that stems from considering mobile manipulation actions and the increase in number of objects. We offer a hierarchical planning solution that effectively handles such large problems by decomposing the problem into a set of low-level intra-container planning problems and a high-level key place planning problem that utilizes the low-level plans. To plan optimally, we propose a novel admissible heuristic function that, unlike previous methods, accounts for both navigation and manipulation costs. We propose two algorithms: one based on standard A* that returns the optimal solution, and the other based on Anytime Repairing A* (ARA*) which can trade-off computation time and solution quality, and prove they are optimal even when we use hierarchy. We show our method outperforms existing algorithms in simulated domains involving up to 6 times more number of objects than previously handled.
APPLICATION OF QUIZIZZ AS AN EVALUATION MEDIA ON TOPIC OF DIGESTIVE SYSTEM

This study examined to find out the review of media experts, teachers, and students on Quizizz and the increase of student learning outcomes to the application of Quizizz in 11th grade of Public high school majoring in science at SMA Negeri 1 Sumbul. The population of this study was 11th grade science students. The sample used in this study was 61 students using simple random sampling technique. The method used a descriptive mixed method. Data were collected using questionnaires and interviews, and student grade lists. The results showed that the application of Quizizz had received a score of 71 (good category) from media experts, a score of 91,2 (excellent category) from the teacher, a score of 94 (excellent category) from students, and N-Gain scores in student learning outcomes of 0,71 (high category). The highest N-Gain score was on the indicator of determining the nutritional content contained in foodstuffs by conducting a food test.