Reviewerly/exHarmony huggingface dataset:
Adaptive Boundary and Semantic Composite Segmentation Method for Individual Objects in Aerial Images

There are two types of methods for image segmentation.One is traditional image processing methods, which are sensitive to details and boundaries, yet fail to recognize semantic information.The other is deep learning methods, which can locate and identify different objects, but boundary identifications are not accurate enough.Both of them cannot generate entire segmentation information.In order to obtain accurate edge detection and semantic information, an Adaptive Boundary and Semantic Composite Segmentation method (ABSCS) is proposed.This method can precisely semantic segment individual objects in large-size aerial images with limited GPU performances.It includes adaptively dividing and modifying the aerial images with the proposed principles and methods, using the deep learning method to semantic segment and preprocess the small divided pieces, using three traditional methods to segment and preprocess original-size aerial images, adaptively selecting traditional results to modify the boundaries of individual objects in deep learning results, and combining the results of different objects.Individual object semantic segmentation experiments are conducted by using the AeroScapes dataset, and their results are analyzed qualitatively and quantitatively.The experimental results demonstrate that the proposed method can achieve more promising object boundaries than the original deep learning method.This work also demonstrates the advantages of the proposed method in applications of point cloud semantic segmentation and image inpainting.
Predatory Journals in Scientific Research: A Great Challenge

Predatory journals are publications that promote themselves as authentic scholarly journals but falsify their publishing procedures. Predatory journals or periodicals that falsely represent their publishing works while presenting themselves as legitimate scholarly journals. They are referred to as fake, dishonest or bogus journals. Many copyright or publication ethics violations, such like making false claims that review process is given, keeping secrets about article processing charges (APC's), misrepresenting editorial board members and others, all examples of parasitic techniques. Since they are growing more widespread around the world, predatory journals are examined in this review to help authors identify and steer well clear of them.
Approaches to Project Management – Academic Discussions vs. Real Life

It is a common belief that a management methodology or method is a magic recipe for most problems that can come up during the project. Thus, we have various standards, recommendations, certification organizations such as the PMI, PRINCE2, Scrum, SAFe, etc. Some of them are considered complicated and obsolete, whereas others are thought to be trendy, more effective, and modern. There are entire businesses created around them; their activity includes inventing new versions of recommendations or standards, sales of educational materials, certifications, creating consulting positions, or company transformations. All this contributes to a certain type of trend, a pressure to apply these particular management techniques. As a result, most of the people beginning their project management career think that obtaining a certificate in a certain method or standard is a proof that you have the skills necessary to manage complex projects and is a formal piece of evidence about your experience and even guarantees success. It is also commonly believed that if a project failed or is delayed, the reason for that must be that the “holy principles” of a given management technique had not been adhered to.
The Effectiveness of Flipped Learning Model on Korean Language Learning as a Foreign Language: Speaking Class in a University Level

This study aims to investigate the effectiveness of flipped learning model on Korean speaking learning as a foreign language at a university. The sample of this study consisted of 29 college students who were in their second year majoring in Korean language and literature. The responses and test grades of the students were compared and analyzed through questionnaire surveys and exam results. Both the flipped learning method and the traditional teaching method were used for this experiment. In the first week, students were oriented with the program, and the traditional teaching method classes were conducted for the first four weeks. After that, a questionnaire survey and a midterm exam were conducted. Subsequently, during the next four weeks, flipped learning teaching was used to the same students. After finishing the flipped learning class, a second questionnaire survey and final exam were conducted. In the last week, a general evaluation of this study was conducted that allows the students to present freely and have one-on-one interviews with the students. The study result indicates that the flipped learning method was effective for Korean speaking learning because not only did it improve the student’s grades, it also improved their learning motivation, learning engagement, and communicative competence in Korean.
A Path Planning Method for Autonomous Flying Vehicles Using an Improved RRT* Algorithm

Autonomous flying vehicles are promising transportation of the future, which have the function of ground vehicles and low-altitude aircraft. To plan a feasible path effectively, an improved optimal rapidly-exploring random tree (RRT*) method is proposed. Firstly, a cost function considering driving efficiency and the energy consumption is established. Then, the cost of a known feasible path, which flies from the start point to the goal point directly, is calculated as a benchmark. According to the benchmark, the planning area is reduced to an elliptical area. The proposed method is verified by simulations with an actual cross-country environment. Results show that the computation time decreased by 11.3% compared with the basic RRT* method.
Dynamics of a driven open double two-level system and its entanglement generation

We investigate the dynamics of the driven open double two-level system by deriving a driven Markovian master equation based on the Lewis-Riesenfeld invariant theory. The transitions induced by coupling to the heat reservoir occur between the instantaneous eigenstates of the Lewis-Riesenfeld invariant. Therefore, different driving protocols associated with corresponding Lewis-Riesenfeld invariants result in different open system dynamics and symmetries. In particular, we show that since the instantaneous steady state of the driven double two-level system is one of eigenstates of the Lewis-Riesenfeld invariant at ultralow reservoir temperature, the inverse engineering method based on the Lewis-Riesenfeld invariants has a good performance in rapidly preparing the quantum state of open quantum systems. As an example, a perfect entangled state is generated by means of the inverse engineering method.
SAVI SCOUT® Radar Localization of Breast Lesions as a Practical Alternative to Wires in Breast Cancer and Macromastia. Description of Our Experience with the Use of Radar Localization System

Breast cancer is a leading cause of cancer-related deaths among females in the world.Image-guided wire localization (WL) of non-palpable breast lesions has traditionally been used to help surgeons localize these tumours.WL is normally carried out the same day as the surgical procedure, which can lead to programming conflicts between the radiological and surgical teams.New devices have been developed to help overcome the disadvantages related to WL.One of them is the SAVI SCOUT® system (SS), a surgical guidance system, nonradioactive infrared activated electromagnetic wave reflector that can be implanted into the breast under imaging guidance the same day as the biopsy and remain until the day of surgery, even if the patient initially undergoes neoadjuvant therapy.Very little training is required for the radiologist.We report the case of a 75-year-old woman with breast cancer and macromastia.The ultrasound and mammography described two lesions in the left breast associated with a wide area of micro calcifications between both lesions (about 4cm).Two SS reflectors were placed identifying both lesions and delimiting the suspicious area of micro calcifications.Bilateral oncoplastic reduction mammoplasty was performed.In addition, a descriptive review of the results obtained in breast conservation surgery using SS from August to December 2022 was also performed.SS was used in 40 patients of the 130 patients (43%) who underwent breast cancer surgery.All SS reflectors were detected and removed.In 2 cases, the radar localization system stopped working after direct contact of the SS reflector with the electric scalpel.
Internet of Things and Industrial IoT Using Blockchain: A systematic review

IoT privacy risks and security vulnerabilities are emerging from a lack of basic security technology, despite the IoT's rapid development and widespread attention in academia and industry.The blockchain technique was proposed as a decentralized and distributed approach to guarantee security requirements and encourage the growth of the IoT and IIoT because of its decentralization and information disclosure.First, we briefly overview blockchain's overall design and highlight its most important features before discussing the security measures needed to fully realize the Internet of Things and the Fourth Industrial Revolution.Then, we delve into how blockchain's security features can be utilized by the IoT for Industry 4.0.To promote the features and benefits of the blockchain technique on IoT and IIoT platforms, we explain the most important blockchain-based IoT applications.Finally, suggestions are made to help future blockchain researchers and coders get started.
A Hybrid Recommender System with Implicit Feedbacks in Fashion Retail

In the present paper we propose a hybrid recommender system dealing with implicit feedbacks in the domain of fashion retail. The proposed architecture is based on a collaborative-filtering module taking into account the fact that users feedbacks are not explicit scores about the items, but are obtained through user interactions with the products in terms of number of purchases; moreover, a second module provides a knowledge-based contextual post-filtering, based on both customer-oriented and business-oriented objectives. We finally present a case study where “look-oriented” recommendations have been implemented for a specific fashion retail brand.
A Case Study on the Multimode Teaching Design of College English Listening and Speaking Course Combined with Chinese Culture under the Guidance of the Production-Oriented Approach

With the rapid development of China's economy and the rise of China's international status, the exchange activities between China and other countries are more frequent than before, which results in the fact that English speaking and listening skills have become more and more important for college students.However, the reality is that Chinese college students' English speaking and listening skills are relatively weak compared to their reading and writing skills.Production-Oriented Approach, proposed by professor Wen Qiufang, is a new theoretical system for college English teaching in China, which aims to solve the problem of the "separation of learning and application", so as to improve the efficiency of English classroom teaching and to enhance students' ability to use English in the real environment.What's more, In the past, English teaching focused too much on the importance of the Western culture and ignored a deep understanding of Chinese traditional culture, which contributed not only to Chinese college students' weak awareness of spreading Chinese traditional culture but also to their low crosscultural communication ability.Therefore, to realize the integration of language teaching and Chinese culture is one of the important goals of College English teaching.The case study aims to do a multimode teaching design of integrating Chinese culture with classroom teaching of College English Speaking and Listening course under the guidance of POA, which proved to be not only an effective approach to enhance the learners' listening and speaking ability, but also a new method to improve the teaching efficiency of ideological and political education in college English teaching.
A Novel Approach for Location Privacy Preservation of Clusters

Location privacy is one of the burning issues in respect of the LBS and other services, since there are several risks of data leakage happening all over the world as well as the location data leakage is also happening. Withthe increment of these data breaches several advertisements and bad cyber crime happens with different person. To solve these issues and to secure the location privacy as well as location data hiding we have applied k- anonymity algorithm to anonymise the data sets so that the location information of users will hide themselves. The aim of our paper is to demonstrate the novel approach for location privacy preservation using machine learning and deep learning algorithms applicable on various parameters as well as on various data sets. We have applied L diversity and T closeness for the same so that we make sure about the protection of the individual stored data dets as well at the same time.
Intellectual Capital and Organizational Performance Within Sharjah Social Services Department

This systematic research inquiry scrutinized the influence of intellectual capital on organizational performance within Sharjah social services department in United Arab Emirates (UAE). The research schoolwork engaged a survey cross-sectional research design with a positivism philosophy. A sample size of 275 participants were selected from a target population of 700 people using a table developed by Morgan &amp; Krejcie (1970). Statistics were garnered using questionnaires, simple random sampling, stratified random sampling and analyzed using descriptive statistics such as tables, frequencies, percentages, means, standard deviation, skewness and Kurtosis. The researcher also used inferential statistics such as path coefficients and multiple regression analysis to establish the relationship between the study variables. The study found out that intellectual capital significantly affects organizational within Sharjah social services department in UAE. The study concluded that intellectual capital can make a major foundation for growth and development in any country in the cosmos. It was recommended that managers of Sharjah Social Services Department should take the necessary steps to improve intellectual capital so that they may contribute towards accomplishing better organizational performance. Sharjah Social Services Department should set aside substantial funds for sponsoring their staff for further studies so that they can acquire more knowledge and skills for effective performance at workplace. This can contribute favorably to the growth and development of Sharjah in the UAE.
Heavy Metals, Profile of the Proposed Dump-Site at Ntak-Inyang Itam, Akwa Ibom State, Nigeria

Levels of trace metals (Cr, Cd, Mn, Fe, Cu, Co, Ni, V, Zn and Pb) in soil from Ntak-Inyang Itam, Itu Local Government Area were determined using standard analytical procedures involving the use of atomic absorption spectrophotometry. Results of the analysis shows that at the debt of 0-15cm at five locations distributed in the area, Cr at sample sites B and E had a mean value of 5.00± 0.55µg/kg which is lower when compared to sample sites A, C and D. Also Cr in the study area had a coefficient of variation (C.V) of 3.14% which signifies stability. Cd in the four sampling points (A, B, C and E) seems to maintain a constant mean value of 0.14± 0.01µg/g except for point D (Esuk in Ntak-Inyang) which has a mean concentration of 0.19± 0.02µg/g. Mn exhibited different mean value at different (five) sampling points and a C.V of 1.99% which was the least and the most stable in the area among the ten metals analysed. Fe exhibited the highest concentration in all the sampling points, with a C.V of 4.99%. The result of analysis of copper (Cu) shows a total mean concentration of 8.29± 0.67µg/g while Cobalt (Co) in the four sampling points had the same mean value of 0.11± 0.1µg/g except in sample point A (sloping area of AKRUBEL) which increases to a value of 0.22± 0.6µg/g. Nickel (Ni) in sampling point C and D exhibited the same mean value of 0.83± 0.9µg/g while other sampling points (A, B, D and E) the mean varies. Vanadium (V) in the samples were generally low, sample point A and D had a mean concentration of 0.10± 0.01µg/g. Sample point C, D and E had 0.05± 0.01µg/g each. Zinc (Zn) had a mean concentration of 2.72± 0.60µg/g and a C.V of 10.4% while Lead (Pb) stood at a C.V of 3.2%. The results were compared with various National and International standards, on the whole the area was not found to be polluted by these metals. Hence the area is suitable for sitting the dump-site, with intermittent monitoring.
Secure efficient task communication mechanisms for Big Data environment

In this paper, a Secure Efficient Task Communication (SETC) Mechanism for Big data environment has been proposed. The SETC mechanism detects the oscillating device efficiently (detects the good and bad behaviour of the node). The results have been compared with the current reliability-based security methods. The SETC method has achieved very good detection rate, reduced the detection failure rate, and provided high reliability in comparison to the current reliability-based security methods. It has been seen that the current reliability-based security methods fail to address the issue of the dynamic behaviour of the sensor nodes and feedback-reliability. In addition, in comparison to the conventional cryptography-based authentication method, the reputation-based security system is far more effective at determining the behaviour of the user.
An Exploratory Study of Malicious Link Posting on Social Media Applications

Social network platforms are now widely used as a mode of communication globally due to their popularity and their ease of use.Among the various content-sharing capabilities made available via these applications, link-sharing is a common activity among social media users.While this feature provides a desired functionality for the platform users, link sharing enables attackers to exploit vulnerabilities and compromise users' devices.Attackers can exploit this content-sharing feature by posting malicious/harmful URLs or deceptive posts and messages which are intended to hide a dangerous link.However, it is not clear how the most common social media applications monitor and/or filter when their users share malicious URLs or links through their platforms.To investigate this security vulnerability, we designed an exploratory study to examine the top five android social media applications' performance when it comes to malicious link sharing.The aim was to determine if the selected applications had any filtering or defenses against malicious URL sharing.Our results show that most of the selected social media applications did not have an effective defense against the posting and spreading of malicious URLs.While our results are exploratory, we believe our study demonstrates the presence of a vital security vulnerability that malicious attackers or unaware users can use to spread harmful links.In addition, our findings can be used to improve our understanding of link-based attacks as well as the design of security measures that usability into account.
AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms

Mobile applications are widely used for online services sharing a large amount of personal data online.One-time authentication techniques such as passwords and physiological biometrics (e.g., fingerprint, face, and iris) have their own advantages but also disadvantages since they can be stolen or emulated, and do not prevent access to the underlying device, once it is unlocked.To address these challenges, complementary authentication systems based on behavioural biometrics have emerged.The goal is to continuously profile users based on their interaction with the mobile device.However, existing behavioural authentication schemes are not (i) user-agnostic meaning that they cannot dynamically handle changes in the user-base without model re-training, or (ii) do not scale well to authenticate millions of users.In this paper, we present AuthentiSense, a user-agnostic, scalable, and efficient behavioural biometrics authentication system that enables continuous authentication and utilizes only motion patterns (i.e., accelerometer, gyroscope and magnetometer data) while users interact with mobile apps.Our approach requires neither manually engineered features nor a significant amount of data for model training.We leverage a few-shot learning technique, called Siamese network, to authenticate users at a large scale.We perform a systematic measurement study and report the impact of the parameters such as interaction time needed for authentication and n-shot verification (comparison with enrollment samples) at the recognition stage.Remarkably, AuthentiSense achieves high accuracy of up to 97% in terms of F1-score even when evaluated in a few-shot fashion that requires only a few behaviour samples per user (3 shots).Our approach accurately authenticates users only after 1 second of user interaction.For AuthentiSense, we report a FAR and FRR of 0.023 and 0.057, respectively.
Copyright law and non-fungible tokens: experience from China

Abstract While the popularity of non-fungible tokens (NFTs) has brought significant profits, legal practitioners have been exposed to unanswered legal concerns behind the frenzy of NFT transactions. Generally, such concerns include those related to the applicability of copyright to NFTs, the legal relationship between an NFT and the tokenized work, and the copyrights associated with the NFT in transactions. The Hangzhou Internet Court released the first NFT-related copyright case, setting a course for the subsequent judicial and business practice of IP-related NFTs nationally and internationally. With these general considerations in mind, the paper briefly introduces what non-fungible tokens are and how they relate to copyright law. Specifically, by interpreting the first NFT-related copyright decision in detail, the paper addresses the legal status of NFT and NFT transactions from the perspective of Chinese Copyright Law, with particular focus on the liability of online platforms and the applicability of the exhaustion doctrine.
Analysis of Longitudinal Effects of College Students' Stress on Career Indecision Using the Latent Growth Model

This study examined the longitudinal effects of college students' stress on their career indecision using data from the 12th (2018), 13th (2019), and 14th (2020) rounds of the ｢Youth Panel Survey｣ conducted by the Korea Employment Information Service. A latent growth model analysis was conducted for the relationship. As a result of the study, first, the 12th, 13th, and 14th data of college students' stress and career indecision showed a tendency to gradually increase over time. Second, the initial value of stress had a significant positive effect on the initial value of career indecision. Third, the initial value of stress was not statistically significant in the change rate of career indecision. Fourth, the change rate of stress had a significant positive effect on the change rate of career indecision. Through this study, the longitudinal changes in college student stress and career indecision and the longitudinal effect of stress on career indecision were confirmed.