Reviewerly/exHarmony huggingface dataset:
Intelligent Approaches for Disease Diagnosis, Prevention, and Treatment

The period of iterative insight approach is changing. With assistance of machine learning, deep learning, computer vision, one can recognize infections at premature phase and help individuals locate the early treatment which may set aside much effort for customary strategies. This chapter focuses on the methods toward early recognition, anticipation, and therapies of genuine illnesses like bosom malignancy, Parkinson’s, and diabetes. The assessment of malignancy by exploring histopathological pictures personates a genuine part in the patient's turn of events, and deep learning strategies are utilized to get a bunch of boundaries from pictures used to construct convolutional networks. The models from the pretrained networks are utilized for the multi-class classification by utilizing transfer learning methods. All outcomes are utilized to feature that transfer learning gives the best assessment of breast cancer pictures. Parkinson's sickness can require around 5–6 years for location however using deep learning in medical imaging which can early recognize the ailment and start the treatment.
Path planning of hyper‐redundant manipulators for narrow spaces

Compared with the traditional manipulator, the hyper-redundant manipulator has the advantage of high flexibility, which is particularly suitable for all kinds of complex working environments. However, the complex space environment requires the hyper-redundant manipulator to have stronger obstacle avoidance ability and adaptability. In order to solve the problems of a large amount of calculation and poor obstacle avoidance effects in the path planning of the hyper-redundant manipulator, this paper introduces the ‘backbone curve’ approach, which transforms the problem of solving joint path points into the behaviour of determining the backbone curve. After the backbone curve approach is used to design the curve that meets the requirements of obstacle avoidance and the end pose, the least squares fitting and the improved space joint fitting are used to match the plane curve and the space curve respectively, and the angle value of each joint of the manipulator is limited by the algorithm. Furthermore, a fusion obstacle avoidance algorithm is proposed to obtain the joint path points of the hyper-redundant manipulator. Compared with the classic Jacobian iteration method, this method can avoid obstacles better, has the advantages of simple calculation, high efficiency, and can fully reflect the geometric characteristics of the manipulator. Simulation experiments have proven the feasibility of the algorithm.
The effects of educational games on the development of some cognitive skills in children aged (4-5) years

The research problem was the importance of the acquisition of these skills for the child, especially in the early stages of his life, since the researcher noticed that some children have weaknesses in their cognitive abilities. This led him to study this important aspect and look for the reasons that lead to the development of such weakness by determining the level of their cognitive abilities. Then he should work to develop them through a program of educational games and benefit from some games in the development of this important aspect in the child's life. The aim of the study is to create a program of educational games for the development of cognitive skills of children in Riyadh aged 4-5 years and to determine the effect of a program of educational games in the development of these cognitive skills. According to the findings, the educational games program had a positive impact on developing the cognitive abilities of Riyadh children aged (4-5) years, and there is a clear preference for the program prepared in developing those abilities in Riyadh children aged (4-5) years between the control and experimental groups. In favor of empiricism, the researcher recommended the use of educational games in kindergartens due to their importance in developing children's cognitive abilities.
Defuzzification

AbstractIn the previous chapter, we showed how, for each possible value u of control, we can generate the degree \(\mu (u)\) to which this value is reasonable. As a result, we get what we called a membership function (or a fuzzy set) \(\mu (u)\).
Retraction: Research on the Teaching Reform Path of Operational Research Course of Engineering Management Major Based on Computer Technology (J. Phys.: Conf. Ser. 1744 032238)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Research on the Construction of the Training Mechanism of Applied Talents in Colleges and Universities Based on Computer Aided Analysis from the Perspective of Craftsman Spirit (J. Phys.: Conf. Ser. 1648 032197)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Perancangan Sistem Informasi Laundry pada CV. XYZ

The purpose of this research is to design an information system application for CV. XYZ to assist in handling various administrations to reporting. In recording and processing transaction data, CV. XYZ already has its own system, such as recording customer names, ordering services and shipping still using paper and the system used in recording such as data on goods washed from customers is still conventional so it is still less efficient in terms of processing time. For this reason, a computerized system is needed that is able to present data quickly and precisely so that the smooth running of business operations can be further improved. In the application development process using the PXP (Personal Extreme Programming) model. From the results of research and observations that have been made on CV. XYZ, it can be concluded; From the results of making a web-based laundry information system, it becomes easy to manage CV laundry transaction reporting. XYZ to laundry reports quickly, and can handle and control and supervise laundry transaction data, create invoices that can avoid delays and in making laundry reports for every transaction activity.
The Effect of the Number of Special Keys on the Performance of Keystroke Dynamics-Based Authentication Systems

Most computer systems use password authentication because it is the most common and low-cost method. However, this method is also more vulnerable to attacks. It is recommended that authentication systems based on ownership and biometric factors be used in conjunction with information-based single-factor password authentication to increase the security of the authentication process. It has been discovered in the literature that most studies in this field have only considered the keystroke times. However, the number of special keys such as (SHIFT, CAPSLOCK, ALT, CTRL, etc.) may strengthen the authentication process. This study aims to investigate the effect of the numbers of special keys on the performance of keystroke dynamics-based authentication systems utilizing Artificial Neural Network (ANN) algorithms. Data were collected from 101 people using developed software for this purpose. Two different datasets were created by considering the keystroke dynamics of a predefined password with and without the user’s habit of using special keys. Analyses were performed with various ANN algorithms. Accuracy, False Accept Rate (FAR), False Reject Rate (FRR), and Equal Error Rate (EER) were calculated as performance evaluation metrics. According to results, using the number of special keys improves the performance of keystroke dynamics-based authentication systems by using ANNs.
A Note on Representational Understanding

In this paper, we explore a new approach in which understanding is interpreted as a set representation. We prove that understanding/representation, finding the appropriate coordination of data, is equivalent to finding the minimum of the representational entropy. For the control of the search for the correct representation, we propose a loss function as a combination of the representational entropy, type one and type two errors. Computational complexity estimates are presented for the process of understanding and using the representation found.
Improved YOLO Object Detection Algorithm based on Overlapping Occlusion Target Images

Object detection of traffic participants is a key and challenging problem in computer vision tasks. Aiming at the problems of large boundary box difference of traffic video target objects and common overlapping occlusion of recognition targets in traffic image target recognition tasks, an improved YOLOv3 target detection algorithm suitable for overlapping occlusion target images is proposed. In order to properly select the prior frame size of the recognition target and improve the training speed and accuracy of the model: 1) use the K-means clustering method to cluster the dimension of the annotation information of the data set, and select the optimized anchor frame size as the initial prior frame of the improved yolov3 network; 2) After three feature scale fusion processing, the yolov3 backbone network is used for multi-scale fusion detection; 3) The candidate boxes are filtered by Softer-Non Maximum Suppression(Soft-NMS) algorithm to obtain the final prediction box. After experimental demonstration, the mAP value of the improved YOLOv3 algorithm in the data set is 81.8%, which is 8.2% higher than the original yolov3 algorithm. At the same time, it is verified that the video detection speed reaches 39.9 frames per second, which meets the real-time requirements.
Directory of open access journals (DOAJ) and its application in academic libraries

The Directory of Open Access Journals (DOAJ) is a community-curated online directory that indexes and makes open access, peer-reviewed journals available to the public. The Directory of Open Access Journals contains a wide range of journals in the fields of science, agriculture, social science, and other multidisciplinary areas. The study focuses on how librarians may utilize the Directory of Open Access Journals (DOAJ) to redistribute high-quality open-access journals to their patrons by integrating and linking these journals to Web-portals that cater to their academic and research needs.
PROFESSIONAL READINESS OF STUDENTS FOCUSED ON SELF-DEVELOPMENT

Abstract. The article is devoted to the problem of professional readiness of students focused and not focused on self-development. The theoretical analysis of the problem showed that professional activity is one of the main areas of self-development and begins to come to the fore from the moment, when a person chooses a future profession and when a person's professional readiness begins to form. Therefore, the study of professional readiness of self-development-focused students seems to be relevant. An empirical study was conducted with the participation of 57 technical students and using the following methods: «Readiness for self-development» (T.A. Ratanova, N.F. Shlyakhta) and «Questionnaire of professional readiness» (L.N. Kabardova). The following statistical methods were used: Mann-Whitney U-test, Fisher's exact test, r-Spearman correlation test. It has been established that the professional readiness of students focused on self-development is generally higher than that of students who are not focused on self-development (both in accordance with the chosen profession, and in those that do not correspond to it) and in its individual components (in particular, in the components "Skill” and “Attitude”). Such students, thanks to the desire for self-development, receive the necessary experience, which allows them to rate highly their own abilities for professional activity in general. It has also been proven that the components of professional readiness (“Skill”, “Desire”) correlate with areas of self-development (self-knowledge and self-improvement). The hypothesis that self-development-focused students more often choose a professional field for which they demonstrate greater professional readiness than non-self-development students has not been confirmed and requires further research, which may be a research perspective.
Management Development Post Strategic Partnership Jordan Telecom Group as a Case Study

This research aims at identifying the level of management development practices in the company 10 years after the successful partnership with the strategic partner. The research employed an instrument to measure management development dimensions in the company (skills, Organizational Learning, Relationships and Participation, Leadership and Supervision, and Management Development obstacles). The survey was distributed to the study sample (150) supervisors and managers, but only (124) valid questionnaires were analyzed. The study concluded that the company has a moderate level of management development ranging from about 71% for Skills, and leadership and supervision dimensions, to about 73% for Organizational Learning, and relationships and participation dimensions. In addition, the perceived management development obstacles according to obstacles dimensions scored at 71.6% with a moderate level as well. The study results show that there are no statistically significant differences in the attitudes of managers and supervisors towards management development dimensions due to demographic and organizational variables, with the exception of the variable of scientific specialization. The study found that there are differences in the attitudes of managers towards the relationships and participation dimension due to the scientific specialization variable, and the administrative sciences specializations got the largest average of the direction of managers towards relationships and participation. The study recommended the need to pay more attention to management development practices by concerned people, by adopting the latest development methods, managing and retaining local talents and competencies by providing necessary support and compensation schemes. The research also made suggestions regarding some future studies.
A Study on the Trend of "The Journal of Internet Electronic Commerce Research" Using Association Analysis

Social science comprises a wide range of research fields, including business administration, anthropology, geography, psychology, education, economy, society, law, tourism, administration, and military. The e-commerce market has expanded with data-based fourth industrial revolution technology and information system development. Research fields should also align with these technological advances. Thus, the current study analyzed the trend of
Merging and disconnecting resonance tongues in a pulsing excitable microlaser with delayed optical feedback

Excitability, encountered in numerous fields from biology to neurosciences and optics, is a general phenomenon characterized by an all-or-none response of a system to an external perturbation of a given strength. When subject to delayed feedback, excitable systems can sustain multistable pulsing regimes, which are either regular or irregular time sequences of pulses reappearing every delay time. Here, we investigate an excitable microlaser subject to delayed optical feedback and study the emergence of complex pulsing dynamics, including periodic, quasiperiodic, and irregular pulsing regimes. This work is motivated by experimental observations showing these different types of pulsing dynamics. A suitable mathematical model, written as a system of delay differential equations, is investigated through an in-depth bifurcation analysis. We demonstrate that resonance tongues play a key role in the emergence of complex dynamics, including non-equidistant periodic pulsing solutions and chaotic pulsing. The structure of resonance tongues is shown to depend very sensitively on the pump parameter. Successive saddle transitions of bounding saddle-node bifurcations constitute a merging process that results in unexpectedly large regions of locked dynamics, which subsequently disconnect from the relevant torus bifurcation curve; the existence of such unconnected regions of periodic pulsing is in excellent agreement with experimental observations. As we show, the transition to unconnected resonance regions is due to a general mechanism: the interaction of resonance tongues locally at an extremum of the rotation number on a torus bifurcation curve. We present and illustrate the two generic cases of disconnecting and disappearing resonance tongues. Moreover, we show how a pair of a maximum and a minimum of the rotation number appears naturally when two curves of torus bifurcation undergo a saddle transition (where they connect differently).
Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes

The vulnerability of computational models to adversarial examples highlights the differences in the ways humans and machines process visual information. Motivated by human perception invariance in object recognition, we aim to incorporate human brain representations for training a neural network. We propose a multi-modal approach that integrates visual input and the corresponding encoded brain signals to improve the adversarial robustness of the model. We investigate the effects of visual attacks of various strengths on an image classification task. Our experiments show that the proposed multi-modal framework achieves more robust performance against the increasing amount of adversarial perturbation than the baseline methods. Remarkably, in a black-box setting, our framework achieves a performance improvement of at least 7.54% and 5.97% on the MNIST and CIFAR-10 datasets, respectively. Finally, we conduct an ablation study to justify the necessity and significance of incorporating visual brain representations.
Mobile-Assisted Pronunciation Training With Adult Esol Learners: Background, Acceptance, Effort, and Accuracy

This study investigates the relationships of learner background variables of adult English for Speakers of Other Languages (ESOL) learners and a mobile App designed to promote pronunciation skills with a focus on intelligibility. Recruited from free evening classes for English learners, 34 adult ESOL learners of mixed proficiency levels, ages, lengths of residency, and first languages (L1s) completed six phoneme pair lessons on a mobile App along with a background questionnaire and technology acceptance survey (Venkatesh, Thong, &amp; Xu, 2012). A series of linear mixed-effect model analyses were performed on learner background variables, technology acceptance, learner effort, and accuracy. The results found a minimal relationship between age, technology acceptance, and effort (7.68%) but a moderate to large one between age, technology acceptance and accuracy of consonants (39.70%) and vowels (64.26%). The implications are that learner use of mobile devices for L2 pronunciation training is moderated by various learner-related factors and the findings offer supportive evidence for designing mobile-based applications for a wide variety of backgrounds.
The Integration of Automatic BIM Validation and Smart Contracts for Design Compliance and Payment Reliability in the Design Process

The research aims at streamlining the execution of the design phase by combining the automatic BIM validation and smart contracts. The construction industry is generally reluctant in accommodating new technologies, but with the promise of transforming information management, Building Information Modelling (BIM) is currently leading its digitalisation. Despite that, its adoption showed issues of information integrity and reliability. Misunderstanding about information requirements can cause delays, unforeseen costs and need for reworks. For these reasons, the chapter suggests the integration of information management based on BIM and blockchain, highlighting their prospective bond. The chapter illustrates the framework of the research that applies the automatic BIM validation and smart contracts in the design phase, pointing out their potential impact on the automation of information review, reduction of late deliveries and overdue payments. The architecture of the potential technological tools is presented and discussed. The research proposes a data-driven process, where all the essential information related to the design verification is recorded and where, at the automatic validation of each BIM model, the approval of payment release is issued automatically. The system intends to ensure full compliance with project information requirements and protect the contracting parties against potential late payment. The framework is still theoretical, however, the expected outcomes from its future test through a proof of concept are finally discussed.
Bootstrapping a Lexicon of Multiword Adverbs for Brazilian Portuguese

This paper presents the process for bootstrapping a computational lexicon of multiword adverbs for Brazilian Portuguese (PT-BR) from an already existing lexicon built for the European variety of the language (PT-PT). This ongoing work aims to identify, collect, and provide a syntactical description of multiword adverbs in PT-BR, in order to produce a comprehensive lexicon of multiword adverbs in Portuguese. First, existing resources for this part-of-speech are presented, followed by the methods adopted for building this novel resource. Up to the present moment, approximately 700 new PT-BR multiword adverbs entered the lexicon, totaling, nearly 2,300 entries. We assessed this new lexical resource against a sample of 1,000 sentences, taken from a publicly available corpus collected from Brazilian Portuguese journalistic texts. Results are promising, although there is still room for improvement, given that the F-measure only reached a suboptimal 0.66 mark. We estimate that another 2,100 PT-BR adverbs will enter the lexicon, totaling +4,000 multiword adverbs in Portuguese.