Reviewerly/exHarmony huggingface dataset:
Blockchain Technology and the Efficiency of Supply Chains in the Marine Freight Industry

This paper deals with the influence of blockchain technology on the efficiency of supply-chains in the marine freight industry. Blockchain is described and the issues of the shipping industry investigated. Following this, the implementation of blockchain technology in marine freight is critically evaluated in regard to the described problems of this industry. Furthermore, this paper points out the advantages and disadvantages of blockchain followed by a conclusion which shows that this new technology can resolve certain problems if a number of obstacles have been overcome.
The effect of reflection on the development of the thinking process in adolescence

The article analyzes the relationship between reflection and thinking processes during adolescence. Also, in the development of thinking during adolescence, the formation of reflexive processes in the individual, such as self-awareness, self-control, self-knowledge, understanding, is a key condition for the development of thinking. In particular, empirical experiments have been conducted to study the relationship between the thought process and reflexivity, and a unique approach has been proposed.
Intelligent Radio Frequency Fingerprinting to Identify Malicious Tags in the Internet of Things

The chapter has proposed a security framework for sensory tags on the Internet of Things (IoT) using intelligent Radio Frequency (RF) pattern analysis with machine learning to identify malicious tags. The RF Identification (RFID) system is an integral part of sensory tag based IoT applications. Due to limited computational capabilities on tags, traditional security primitives are not feasible for sensory tags, while there are existing lightweight security techniques that can be used to protect expensive RFID sensory tags, like active tags. However, less expensive tags, like passive tags, are incapable of using most of the existing lightweight security techniques. In addition, low-cost printed chipless sensory tags are incapable of using any existing security primitives at all due to no available computational and storage capabilities on board. Hence, implementing a holistic security provision to a hybrid sensory tag based IoT eco-system becomes complex or infeasible. The proposed security framework uses transmitted RF signals to counter security attacks, like malware injection, repudiation, and counterfeit, that are usually designed to infiltrated IoT system using malicious tag to address the security needs of all categories of sensory tags in the IoT. The proposed security framework extract features from RF data to prepare a fingerprint of the tag for its identity in association with other tags in the network, which is then used in machine learning for classification. It only needs to use computational and storage power of the reader to free the tags from computation and storage burden. The experiment on the proposed model shows that it can identify malicious tags with a high accuracy which is validated against several other machine learning techniques.
Modeling rounded counts using a zero-inflated mixture of power series family of distributions

This paper proposes an extension of zero-inflated models for analyzing rounded counting outcomes. A zero-inflated mixture of power series is proposed, and the EM algorithm is developed to estimate parameters. The accuracy of estimators is evaluated using a simulation study. The results of simulations show that the estimation procedure is successful and estimates are accurate. An application of our models for analyzing the number of cigarettes smoked per day of respondents for the American’s Changing Lives study is enclosed. The proposed model best fits the data and the relationships between rounded counts and other covariates revealed by proposed regression models.
THE UTILIZATION OF INSTAGRAM AS A SOCIAL MEDIA IN ENHANCING THE CADETS’ ABILITY TO WRITE A RECOUNT TEXT

Abstract&#x0D; The objective of this research was about finding out if there is a significantly different use of the Instagram media for increasing the cadets’ ability to write Recount text in Technical Department compared to the use of English book media on students' ability to write short recount texts. The samples in this study were two classes of cadets of the Technical Department, Politeknik Bumi Akpelni involving 48 cadets. The experimental group was taught using Instagram as a new way of learning through social media in sample groups and groups taught using English books or handouts in non-examples groups. To find out whether there is an important difference between the final examination scores of the sample and non-sample groups, the t-test was calculated, and it was found that the t-value was higher than the t-table (3, 109 &gt; 2.00). According to the results of the research that has been carried out for 1 semester, the researchers conclude that there is an important effect on using the new method, namely the Instagram social media application, compared to the use of English books or handouts that have been used the old way on the cadets' ability to write recount texts. This means that the t-test is greater than the t-table. The alternative hypothesis (H1) is accepted and the null hypothesis (H0) is rejected. In addition, through a new method of following young people's technology, namely social media Instagram as a medium in teaching English, especially recount text, it is very significant to improve cadets' writing skills.&#x0D;
Information Literacy Analysis of Students' Affective Cognitive Ability in Online Learning in Madrasah Tsanawiyah Negeri 2 Malang City

Any efforts have been made by MTsN 2 Malang so that their students have affective and cognitive abilities in online learning, but they have not yet fully obtained maximum results, there are still many students whose cognitive and affective aspects are still low.For this reason, this study seeks to find a way to analyze information literacy for students at MTsN 2 Malang City.The method used is action research which is a type of qualitative research.The sampling technique used is purposive sampling.The results of the research in cycle 1 with several actions/observations, written tests, it was found that there were 17 out of 25 students who had information literacy analysis scores still below the value of 75 (below the KKM) so that cycle 2 actions were needed, in cycle 2 with various actions and accumulated scores.an increase in the ability of students was obtained as many as 18 students with affective and effective abilities above the KKM score of 75.This means that this activity was completed with a percentage of more than 50% of the number of students.
Work-Related Use of Information and Communication Technologies and Job Satisfaction of Kindergarten Teachers: Mediating Role of Emotional Exhaustion and Moderating Role of Perceived Organizational Support

The purpose of this study was to examine whether work-related use of information and communication technologies after hours (W_ICTs) was negatively associated with job satisfaction and whether emotional exhaustion mediated the association between W_ICTs and job satisfaction. We also tested whether the link from W_ICTs and emotional exhaustion was moderated by perceived organizational support. A sample of 434 participants of kindergarten teachers completed questionnaires on W_ICTs, job satisfaction, perceived organizational support and emotional exhaustion. Results indicated that kindergarten teachers with high W_ICTs were less likely to get high job satisfaction and emotional exhaustion played a partial mediating role in this relationship. In addition, perceived organizational support moderated the association between W_ICTs and emotional exhaustion. Specifically, the effect between W_ICTs and emotional exhaustion was stronger for kindergarten teachers with low perceived organizational support than those with high perceived organizational support.
UAV Path Planning Based on an Improved Ant Colony Algorithm

Reviews and experimental verification have found that existing solution methods can be used to solve UAV path planning problems, but each approximate solution has its own advantages and disadvantages. For example, ant colony algorithm easily falls into the local optimum in the process of realizing path planning. In order to prevent too low pheromones on the longer path and too high pheromones in the shorter path, the upper and lower limits of pheromones as well as their volatile factors are set to avoid falling into the local optimum. Secondly, multi-heuristic factors are introduced, and the overall length of the path serves as an adaptive heuristic function factor that determines the probability of state transition, which affects the probability of ants choosing the corresponding path. The experimental results show that the path length planned by the improved algorithm is 93.6% of the original algorithm, and the optimal path length variance is only 14.22% of the original algorithm. The improved ant colony algorithm shortens the optimal path length and solves the UAV path planning problem in terms of local optima. At the same time, multiple enlightening factors are introduced to increase the suitability of UAV for complex environments and improve the performance of UAV.
Detection of Signs of Ageing in Face and Demanding Situations to the Body and Skin Diseases after COVID -19 using Machine Learning

The primary goal of this thesis is to simulate the causes of human face ageing and to detect skin illnesses. This project combines the capabilities of a Deep Learning model, notably EfficientDet, with the capabilities of a machine learning model and Advanced Computer Vision to identify and locate aging and skin disease. In an uploaded photo there are irregularities which can be detected. The appearance of age-related face changes is determined by a variety of factors. Wrinkles, dark patches, and swollen eyes are all variables to consider. The TensorFlow Objection Detection API is used to investigate the factors. TensorFlow Zoo's EfficientDet model is pre-trained. The proposed models are found to be effective based on the outcomes. Very effective in predicting the indications of ageing in people of all ages. Python was used to implement this project.
Scripts, User-Created Functions, and S4 and Reference Class Methods

Scripts and user-created functions often make the life of an R user easier. If a repetitive task involves several different lines of code, creating a script or function to do the task saves time. In the S4 object system, methods for generic S4 functions are the functional side of S4 and require special treatment. For Reference Class methods, the methods are regular user-defined functions but are defined within a reference class.
Digital Forensics Experimentation: Analysis and Recommendations.

Digital forensics (DF) is becoming one of the most prestigious research areas in computer science due to its inherent nature of providing a means to acquire, examine, analyze, and report evidence to be used in legal processes. To successfully perform it, novel techniques, approaches, and tools have been proposed, experimented on, and evaluated by researchers. However, the experimentation process is not a trivial task in this area as substantial evidence is not accepted in court. Therefore, the experimentation process has to be improved in DF, especially its documentation and data sharing to enable its reproducibility. The objective of this paper is to characterize the state-of-the-art research on DF experiments. We conducted a Systematic Mapping Study (SMS), analyzing 107 primary studies reporting DF experiments. We demonstrate that DF experimentation somehow fails at documenting the most essential elements of an experiment, such as hypothesis, variables, design, instrumentation, validity evaluation, setup, training, datasets and benchmarks, statistical techniques (descriptive, hypothesis, and effect-size test), limitations, and data sharing. In this work, we also propose a set of recommendations to improve experimentation in DF, especially regarding its replication and reproducibility. DF experimentation should evolve if the community intends to provide reliable and reproducible studies. By embracing this, both academicians and practitioners might benefit from such experiments and evidence.
Land Registration System Using Blockchain

Land registration is an important document in determining the title of a property. Land registration refers to the process of registration of the document, changes in ownership and other transactions related to the property. Land Registration creates a clear record of ownership which clearly sets out any matters that affect the property, such as rights of way and restrictive covenants. Registration provides greater protection against claims for 'Adverse Possession ‘. Land Registry provides property owners with a land title guaranteed by the government, as well as with a title plan that indicates the property boundaries. Once property is entered into the register, the Land Registry records any ownership changes, mortgages or leases affecting it.
Assessing Clinical Usefulness of Readmission Risk Prediction Model

Readmission manifests signs of degraded quality of care and increased healthcare cost. Such adverse event may be attributed to premature discharge, unsuccessful treatments, or worsening comorbidities. Predictive modeling provides useful information to identify patients at a higher risk for readmission for targeted interventions. Though many studies have proposed readmission risk predictive models and validated their discriminative ability with performance metrics, few examined the net benefit realized by a predictive model. We compared traditional logistic regression against modern neural network to predict unplanned readmission. An added value of 7% on discriminative ability is observed for modern machine learning model compared to regression. A cost analysis is provided to assist physicians and hospital management for translating the theoretical value into real cost and resource allocation after model implementation. The neural network model is projected to contribute 15× more savings by reducing readmissions. Aside from constructing better performing models, the results of our study demonstrate the potential of a clinically helpful prediction tool in terms of strategies to reduce cost associated with readmission.
Perkembangan Riset Desain Sistem Informasi Menggunakan Pendekatan Terstruktur : Sistematic Literature Review

This article aims to analyze the dynamics of information systems design using a structured model, based on the year of publication, the scope of application of information systems, and the information system platform designed (website, desktop, mobile). The method adopted is a literature study using a Systematic Literature Review (SLR) approach. The supporting instrument used in the literature study was the Nvivo 12 Plus. The articles that are evaluated are limited to journals indexed by Garuda (garuda.ristekbrin.go.id) from 2010-2021. The results of the evaluation of structured model-based information system design are classified based on three characteristics of information systems, namely: website-based information systems; desktop; and mobile. The classification based on case studies of information system design consists of five characteristics of institutions, namely government institutions; educational institutions; health institutions; profit institutions; and non-profit organizations. Tools evaluated are limited to Data Flow Diagrams (DFD) and Entity Relationship Diagrams (ERD). Based on the results of the literature study, it can be seen that the design of information systems based on a structured approach using Data Flow Diagrams (DFD) has increased in 2018 and 2019. Meanwhile, database system design using a structured approach-based Entity Relationship Diagram (ERD) has increased in 2019. The most studied scope of application of information systems based on the characteristics of institutions is profit institutions, educational institutions, and government agencies.
A Novel Reinforcement Learning Sampling Method Without Additional Environment Feedback in Hindsight Experience Replay

Hindsight Experience Replay (HER) in reinforcement learning is used to train an agent by substituting the real goal with hindsight goals (virtual goals). This technique improves the data efficiency and speeds up the learning process. To efficiently choose a hindsight goal, previous research suggested an Energy-Based Prioritization (EBP) method. However, for complex robotic tasks which RL agent interacts with objects in the environment, the objects’ information such as location and velocity are needed in EBP. This is not feasible for real world application. In this paper, we propose a Trajectory Behaviour Prioritization (TBP) method to remove the need for an additional environment feedback while maintaining a competitive learning performance. We define a trajectory behaviour weight function to consider good behaviours in one trajectory. We evaluate our TBP approach on two challenging robotic manipulation tasks in simulation, The results show that our approaches preform well deposit of having no information related to objects. This work serves as a step towards accelerating the training of reinforcement learning for complex real world robotics tasks.
The Design of Exercise Structure and Operation System of Higher Mathematics Under the Background of Educational Informationization

The teaching reform of higher mathematics has been paid much attention and achieved a lot of achievements. But people have not paid enough attention to the exercises and homework of higher mathematics. The exercises and homework of higher mathematics should not be ignored. It is an important aspect of teaching and learning of higher mathematics. The traditional higher mathematics homework is the students’ personal operation to do the exercises in the textbook after class. Practice has proved that these exercises are very necessary, but it is far from enough for homework to be limited to such exercises. In order to stimulate students’ interest in learning, encourage their confidence in learning and strengthen the spirit of cooperation among students, the structural design under the background of information is mainly adopted in enriching the forms of higher mathematics homework.
Technical Services Within a Team-Based Information Services Environment

In 1994, the Oregon State University merged the libraries into a new Information Services unit. The process of reorganizing the new IS unit into teams is described, with an evaluation of how the reorganization has affected Technical Services. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com ]
What can corpus software reveal about language development?

This chapter provides an overview of what corpus software can reveal about language development. The chapter starts with a brief discussion of the theoretical conceptualisation of first and second language development and then offers a summary of the various types of metrics that have been proposed for gauging language development in first and second language research. A detailed discussion of the different ways in which corpus resources, tools and methodologies can be used to find out about first and second language development follows. The chapter concludes by outlining a number of future developments that would benefit corpus-based language development research.
Vertical Handover of Satellite-Ground Fusion Network Based on Time and Location Under Early Access Strategy

Satellites have been integrated into the terrestrial mobile network to meet the 5G requirements of providing connectivity regardless of time and location. The user terminal needs to switch between the satellite and base station, known as vertical handover, to achieve continuous and high-quality communication. The credit method avoids frequent network state measurement. However, it requires the status of all networks for credit calculation, which may lead to incomplete and delayed data acquisition. Therefore, a handover decision method based on time-space attribute reputation is proposed in this study. The proposed method takes the user’s location and time factors into account. Considering the changes of the network topology caused by satellite and user mobility, the target network is selected according to the overall reputation of candidates and the user’s current location. The early untrusted network information is eliminated in time to obtain an effective and accurate result. Moreover, since uplink vertical handover has an undesirably high propagation delay during protocol implementation, this study optimizes the existing execution process and proposes an early access strategy to reduce the handover delay. Both designs have been tested and are proved to be effective.
Question Inquiry and Countermeasure Analysis of Educational Evaluation Reform in Chinese Universities

Colleges and universities are the main field of personnel training and the important source of innovation and academic research. But in recent years, the phenomenon of “five-only”, which is an unscientific educational evaluation orientation, appears in different degrees in the evaluation of higher education and it seriously affects the high quality development of higher education. Firstly, the paper analyzes the value logic of educational evaluation, clarifies the relationship between real value and formal value, and on the basis of affirming the positive significance of educational evaluation, explores the root causes of the problems encountered in the reform of education evaluation in colleges and universities, and then gives the relevant countermeasures for the reform of education evaluation in colleges and universities. This paper provides some feasible methods for the reform of educational evaluation in Chinese colleges and universities, which helps to establish a scientific and efficient evaluation system and promote the high-quality development of higher education.
IMPLEMENTATION OF WEARABLE DEVICE FOR MONITORING ALZHEIMER’S PATIENTS

Thousands of persons with Alzheimer's disease and other cognitive problems go missing every year. As a result, the person with dementia must frequently keep track of their current location. As a result, a dependable and affordable monitoring system is required to improve the quality of life of these individuals and their families. Individuals and their caretakers must be constantly monitored and cared for, as well as intervene and provide support, putting a great financial and human load on them. Interconnected sensing technologies, such as wearable devices and Internet of Things (IoT) devices, offer a potential solution for objective, dependable, and remote monitoring, assessment, and support throughout one's lifetime, with the help of the environment. This suggested wearable device would combine GPS systems with a microcontroller to provide real-time monitoring of Alzheimer's sufferers when they leave their homes, ensuring their safety. The fall is detected, the caregiver is alerted, and emergency care can be given in the event of a patient collapsing. On the screen, there are also simple routine reminders.