bluuebunny/crossref_metadata_2025 huggingface dataset:
Examining the Influence of the COVID-19 Pandemic Process on Nurses and Society’s Perception of the Nursing Image
Authors: ARDA SÜRÜCÜ Hamdiye , ANUŞ TOPDEMİR Esra , DUMAN Mesude , BAKSİ Altun
Published: August 2023

Aim: The purpose of this study was to conduct comparative examination of the influence of the COVID-19 pandemic process on the nursing image perceptions of nurses and individuals forming the society.

Material and Methods: This study was carried out using the cross-sectional descriptive research design. The study was conducted online between November 2020 and June 2021 due to the COVID-19 pandemic process. The research sample consisted of 710 people, and the data were collected with the Personal Identification Form and the Nursing Image Scale.

Results: The nurses' nursing image scale total score was found to be statistically significantly higher than the scores of the individuals representing the society (p
Evaluation of Patients Diagnosed with Generalized Anxiety Disorder in Terms of Early Maladaptive Schemas
Authors: KOCAKAYA Hanife , DENİZ ÖZTURAN Deniz
Published: August 2023

Aim: It has been reported that individuals with generalized anxiety have many interpersonal problems and these problems occur through schemas such as emotional inhibition, shyness, subjugation, self-sacrifice and intervention. In light of this information, the purpose of this study was to compare individuals with generalized anxiety disorder (GAD) and healthy controls in terms of early maladaptive schemas (EMSs).

Material and Methods: This research involved 92 participants aged 18 to 55, including 48 GAD patients and 44 healthy controls. Sociodemographic data form, Young Schema Questionnaire-Short Form-3 (YSQ-S3), Generalized Anxiety Disorder 7-item scale (GAD-7), Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI) were administered to the participants. The study was approved by the ethics committee (KÜTF KAEK NO:2023.02.16).

Results: The patients' average age was 38.19±11.29, and 83.3% of them (n=40) were women. The average age of healthy controls was significantly lower, however, neither group differed significantly in terms of education or marital status. The mean GAD-7 score of the patients was 6.26±6.81. Emotional deprivation (p=0.024), pessimism (p
Ankle Bone Anatomy in Turkish Population: A Radiological Study
Authors: KIVRAK Aybars , ULUSOY İbrahim , YILMAZ Mehmet
Published: August 2023

Aim: While numerous geographic locations have been examined in the literature regarding the morphological characteristics of ankle bones, no studies have been conducted specifically in Turkey. Our study aims to assess the morphological features of ankle bones in individuals residing in Turkey, utilizing ankle computed tomography (CT) images obtained from patients.

Material and Methods: In our single-centre study, the data between 2018 and 2022 were scanned. The criteria for inclusion in the study were determined as being a citizen of the Republic of Turkey, being over the age of 18, and being under the age of 65.

Results: 200 patients (100 men, 100 women) and 200 ankle CT images were selected by stratified sampling using the computer-assisted randomisation method. APA, APG, MalW, MDA, MDV, MTiTh, SRTa, SRTi, TaAL, TaW, TiAL, Th, and TiW values were measured on computed tomography images.

Conclusions: The morphological structure of the ankle bone varies from society to society and according to gender. These factors should be considered in implant design (especially in prosthetic design) and the application of these implants. Our study will guide the design of ankle implants (especially prostheses) for communities living in Turkey.
A megtapasztalt rendőrség egy magyar vármegye rendőri vezetőinek szemszögéből
Authors: Budavári Árpád , Ruff Tamás
Published: August 2023

Aim: As part of the doctoral research of Árpád Budavári, the authors investigated the understanding of security, the definition of security problems and the willingness to cooperate of police officers by surveying the police officers of the Fejér County Police Headquarters in 2021 and 2022, and by interviewing police managers. The interviews were also used to examine the organisational change needs of police managers.Methodology: According to the hypothesis of the research, a police reform focusing on the decentralization, demilitarization and depolitization of the police is not the necessarily way to renew the Hungarian police force. The police show signs of cooperative problem solving with the communities of society, and the intervention needs can be identified, which can lead to the development of the problem sensitivity and cooperative competences of the police. The interviews with 19 heads of the county police headquarters, which were conducted to examine these hypotheses, form an evaluable unit in themselves, which are summarised in this paper.Findings: The county's police leaders show a unified image in that they pay attention to the signals coming from the protected communities when dealing with public safety problems, their cooperation skills with the communities have developed and have become part of their daily work. They rate the large number of central tasks as a significant difficulty. At the same time, there is a lack of unity of will and demand for change in the police organisation, neither in terms of the fact of change nor in terms of the way it should be implemented.Value: The experience of the interviews can be used as an input for the police diagnosis of the present conditions and the needs for change by exploring the police officers' willingness to cooperate and their attitude to change.
A nyílt forrású hírszerzés (OSINT) mint lehetőség a bűncselekmények felderítésében
Authors: Márton Balázs
Published: August 2023

Aim: In the study the author elaborates the advantages of a central open-source intelligence (OSINT) unit to create within the organization of the Hungarian police and examines some essential points of its establishment.Methodology: Following the basic police science of crime detection, the author examines how the activities of such a unit could contribute to crime detection, in accordance with the main OSINT disciplinary rules.Findings: Due to the evolution of the information society and the massive impact of digitization, use of the method of intelligence-led policing including the tools and methods of OSINT provides broader range of opportunities in the criminal intelligence. A set of relevant data linked to the respective criminal offense can increasingly or exclusively be found in the cyberspace. However, there is currently no central service unit within the structure of the Hungarian police force that would provide the human and technical resources necessary for professional and organisational OSINT activities.Value: The study shows that nowadays the OSINT, as one of the methods used in the criminal intelligence has an increasing role, moreover, it would be reasonable to organize an independent unit on a professional basis within the police organization. In addition, it would also be appropriate to increase the professional training of police officers performing crime detection tasks, potentially in the so-called first-stage OSINT tasks.
Migrációs erőszak az államhatáron
Authors: Éberhardt Gábor
Published: August 2023

Aim: The aim of the study is to show whether there has been a significant change in the phenotypical pattern of irregular inward migration at Hungary's Schengen external border since 2015.Methodology: The author uses the tools of scientific research methodology to conduct domestic and international source research and media studies. By analysing and evaluating data requested from a data manager, the author prepares a summary report, which can be used to interpret the migration elements under investigation, to describe the processes and to formulate hypotheses.Findings: According to the results of the research on which the study is based, it can be concluded that in the course of irregular migration activities in the Schengen external border of Hungary – predominantly in relation to Serbia – verbal aggression against physical elements and staff guarding the state border was followed by physical attacks.Value: Based on research methodological findings, the study describes the typological changes in irregular migration actions in the Serbian border section of Hungary in recent years, the emergence of verbal and physical violence by those who seek to enter illegally.
Serum Concentrations of Some Thelper1-Derived Cytokines in Generalized Erythema Multiforme
Authors: Huyen Tran Thi , Phuong Pham Thi Minh , Doanh Le Huu , Lan Pham Thi , Vinh Nguyen Thi Ha
Published: August 2023

BACKGROUND: Erythema multiforme (EM) is an acute mucocutaneous syndrome characterized by typical and/or atypical target lesions on the skin. The etiology is still not clear, but EM may be related to infection or medication. Clinically, there are cases of EM with atypical target lesions with generalized distribution without, or with minimal, mucosal lesions. The causes remain unknown. However, T helper cells 1 (Th1) may play an important role in EM.
AIMS: The aim of the study was to investigate serum concentrations of some Th1-derived cytokines in generalized EM or generalized EM -like eruptions.
METHODS: This was a sectional and descriptive study conducted at the National Hospital of Dermatology and Venereology, in Hanoi, Vietnam,  from April 2017 to August 2019. There were 33 EM patients, and 32 healthy controls (HCs) participated. Serum interleukin (IL)-2,  interferon-gamma (IFN-γ), and tumor necrosis factor-alpha (TNF-α) levels were measured using the fluorescence covalent microbead  immunosorbent assay (ProcartaPlex Immunoassay Panels kit, Thermo Fisher Scientific, USA). The Mann–Whitney U-test was used to compare the serum IL levels of the two groups. Differences were considered to be statistically significant at p < 0.05.
RESULTS: The mean age of the EM patients was 42.2 ± 17.5 years, ranging from 19 to 76 years old. Men accounted for 30.3%, women accounted for  69.7%. There were 22 patients with <1 week of onset, accounting for 66.7%; 11 patients with 1 week and those with more than 1 week accounted for 33.3%. There were 60.6% of patients using drugs before the onset. Most patients had pruritus (97%), and all had diffusely distributed skin lesions. Only 15.2% of the patients had mucosal lesions. There are 30.3% of patients with fever. The serum IFN-γ concentration of the EM group was 5.35 ± 9.88 pg/mL, higher than that of the HCs group (0.35 ± 0.77 pg/mL), the difference was statistically significant with p = 0.01 (Mann–Whitney U). The concentrations of IL-2 and TNF-α of the HCs were 24.32 ± 27.94 pg/mL and 109.74 ± 126.73 pg/mL, respectively, higher than those of the EM group (3.37 ± 5.94 pg/mL and 5.86 ± 11.88 pg/mL, respectively). The difference was statistically significant with p < 0.001. Age did not correlate with serum concentrations of cytokines in the EM group.
CONCLUSION: In generalized EM, serum concentrations of IFN-γ are statistically significantly higher than those of HCs but serum concentrations of IL-2 and TNF-α were lower. There is no correlation between age and serum concentrations of cytokines in generalized erythema multiform.
Two new Hoplitis species of the subgenus Hoplitis Klug, 1807 (Hymenoptera, Megachilidae) and the nesting biology of H. astragali sp. nov. in Dagestan
Authors: Fateryga Alexander V. , Müller Andreas , Proshchalykin Maxim Yu.
Published: August 2023

Hoplitis astragalisp. nov., a member of the H. monstrabilis species group, and H. dagestanicasp. nov., a member of the H. adunca species group, are described. The former species is known from Dagestan in Russia, Azerbaijan, and Turkmenistan, the latter only from Dagestan. Nests of H. astragali are described. Females of this species excavated burrows in a vertical clay cliff, but sometimes chose a horizontal surface for nest excavation, particularly at the entrance of old burrows of Xylocopa olivieri (Apidae). The nest burrows of H. astragali were either sub-vertical or sub-horizontal. The nests were composed of one to three brood cells, an empty vestibule in front of the outermost cell, and a closing plug at the nest entrance made of moistened mud. The inner surface of the cells was covered with a thin wall composed of compact soil, most probably built by the female bee after cell excavation. The pollen loaf was very liquid and had a spherical shape. The egg was deposited on its top. The cocoon consisted of a single thin layer, which uniformly covered the whole inner surface of the cell. There was one generation per year. The prepupae hibernated. Sapyga caucasica (Sapygidae) was recorded in the nests as a kleptoparasite. Both females and males of H. astragali exclusively visited flowers of two species of the genus Astragalus (Fabaceae).
A Novel Technique for Detecting Underground Water Pipeline Leakage Using the Internet of Things
Authors: Abusukhon Ahmad , Al-Fuqaha Ala , Hawashin Belal
Published: August 2023

Water-pipeline leakage is one of the most common problems that depletes water supplies. Countries like Jordan, which are really experiencing a water deficit, are particularly concerned about this issue. The lack of monitoring tools makes the underground water-pipeline leakage a challenge since the pipelines are invisible. Besides, reducing the amount of time needed to precisely detect and locate the leak is another challenge. If not reduced, the aforementioned element has an effect on cost. A small broken water distribution line costs $64,000 per year. In Jordan, water leakage costs $1.7 million. This expense can be significantly decreased using an effective early water leak detection system. In this paper, we proposed an efficient internet of things system for detecting water-pipeline leakage based on a shielded pipeline, a NodeMCU, a soil moisture sensor, and the Firebase database. We created a baseline system, and then we tested and evaluated the proposed system when various types of soil are used. Furthermore, this paper compared several strategies offered for detecting water-pipeline leaking including the proposed system. The results showed that the proposed system reduced the time required for detecting water-pipeline leakage by 70% and the system hardware cost by 83% compared with the earlier work. It was difficult to compare the total cost of the proposed system with the total cost of previous works since the total cost is not calculated in their systems.  Besides, in this paper, we proposed an IoT system for securing the underground water pipelines from adversaries.
Solving Restricted Preemptive Scheduling on Parallel Machines with SAT and PMS
Authors: Liao Xiaojuan , Zhang Hui , Koshimura Miyuki , Huang Rong , Li Fagen
Published: August 2023

Restricted preemption plays a crucial role in reducing total completion time while controlling preemption overhead. A typical version of restricted preemptive models is k-restricted preemptive scheduling, where preemption is only allowed after a task has been continuously processed for at least k units of time. Though solving this problem of minimizing the makespan on parallel machines is NP-hard in general, it is of vital importance to obtain the optimal solution for small-sized problems, as well as for evaluation of heuristics. This paper proposes optimal strategies to the aforementioned problem. Motivated by the dramatic speed-up of Boolean Satisfiability (SAT) solvers, we make the first step towards a study of applying a SAT solver to the k-restricted scheduling problem. We set out to encode the scheduling problem into propositional Boolean logic and determine the optimal makespan by repeatedly calling an off-the-shelf SAT solver. Moreover, we move one step further by encoding the problem into Partial Maximum Satisfiability (PMS), which is an optimized version of SAT, so that the explicit successive calls of the solver can be eliminated. The optimal makespan of the problem and the performance of the proposed methods are studied experimentally. Furthermore, an existing heuristic algorithm is evaluated by the optimization methods.
Robust Authentication Analysis of Copyright Images through Deep Hashing Models with Self-supervision
Authors: Yang Jaeyoung , Kim Sooin , Lee Sangwoo , Kim Won-gyum , Kim Donghoon , Hwang Doosung
Published: August 2023

The increased usage of the internet and ICT has posed a significant challenge to protect copyrighted content due to advanced image forgery techniques that make image authentication extremely difficult. The aim of this paper is to establish a binary classification method for determining copyright images from copyright-free ones. A deep hashing model is introduced for an image authentication system, which uses deep learning-based perceptual hashing. Hash codes from a deep hashing model trained with a copyright image dataset are used to identify images. The deep learning model is able to learn features that represent the implicit meaning or structural information of an image. The copyright dataset, which lacks class labels, is trained with deep hashing models with self-supervision. The proposed model is based on an autoencoder or variational autoencoder model and is improved by including convolutional filters, residual blocks, and vision transformer blocks. Experimental results show that the proposed model performs a one-to-one mapping with most stored images and can retrieve related images using image features in hash collisions. The model can find the query image among the top 5 images with comparable hash codes. The results indicate that the proposed deep hashing approach is robust and applicable.
The Pocket Guide to Classic Monoamine Oxidase Inhibitors for Treatment-Resistant Depression
Authors: Stahl Stephen , Van den Eynde Vincent , Godet Lila , Redhead Charles , Gillman Peter Kenneth
Published: August 2023

Treatment-resistant depression (TRD) remains a significant challenge for clinicians and patients alike, necessitating exploration and understanding of potent but underutilized antidepressant options, such as classic monoamine oxidase inhibitors (MAOIs). This article presents a condensed overview of the fundamental principles outlined in the international consensus guideline on using MAOIs in TRD (the Prescriber's Guide), explicitly focusing on phenelzine and tranylcypromine. These drugs are powerful treatment options for severe depression, including atypical and melancholic subtypes, that have insufficiently responded to first- and second-line treatments. MAOIs are generally indicated before electroconvulsive therapy due to their favorable side-effect profile. However, several contraindications and drug interactions must be considered. This article aims to provide clinicians with a practical, accessible resource for implementing classic MAOIs in the management of TRD.

[
Psychiatr Ann
. 2023;53(8):347–352.]
An Expert Roundtable Discussion on the Use of Classic Monoamine Oxidase Inhibitors in the Treatment of Depression – Part One
Authors: Young Allan , Rucker James , Van den Eynde Vincent , Redhead Charles , Barnett Brian , Godet Lila , Cleare Anthony , Cosgrove John , Stahl Stephen , Birkenhäger Tom , Gillman Peter Kenneth
Published: August 2023

Experienced clinicians and academics from the International MAOI (monoamine oxidase inhibitor) Expert Group comment on questions of interest concerning MAOI pharmacotherapy for depression, especially as they pertain to the illustrative case summaries presented in this part one of the Expert Roundtable Discussion. These comments focus on practical therapeutics and aspects of difficult cases that guidelines simply do not, and cannot, address, such as the important fact that psychotic depression may respond rapidly to MAOIs. The ethical and medico-legal issues relating to cost and ongoing availability are also discussed.

[
Psychiatr Ann
. 2023;53(8):359–363.]
Histologic and histomorphometric evaluation of minicono abutment on implant surrounding tissue healing and bone resorption on implants placed in healed bone. An experimental study in dogs
Authors: Calvo-Guirado José Luis , Cabo-Pastor Marta Belén , Martínez-Martínez Francisco , Garcés-Villalá Miguel Ángel , de Carlos-Villafranca Félix , García-Carrillo Nuria , Fernández-Domínguez Manuel
Published: August 2023

The objective of this evaluation was to measure the width and length of connective tissue (CT) and crestal bone resorption (CBR) related to minicono® abutment inserted in conical connection dental implants, which were placed crestal and subcrestally in a dog's mandible.

Materials and Methods

Forty-eight Top DM implants with the same coronal diameter were placed at the crestal level, 1 mm (test 1 group) and 2 mm (test 2 group) positions underneath buccal-lingual bone crests. Dental implants used in the study were separated into three groups of 16 implants each. The implants were randomly inserted into healed bone after two months post-extraction sockets of three lower premolars, and first molar, bilaterally in six male fox hound dogs. One 3 mm minicono height abutment was connected to conical connection implants placed at the crestal level (control), 1 mm (test 1) and 2 mm (test 2) positions under buccal-lingual crests.

Results

All abutments and implants used were clinically and histologically integrated into the bone-soft tissue. Soft tissue behavior was observed at eight and 12 weeks in all test groups, displaying similar quantitative findings with significant differences (p > 0.05). However, crestal bone loss was significantly greater at the buccal side around that control group compared to the test 1 and 2 groups. The difference values between groups at the implant shoulder to the top of the lingual bone crest (IS-LBC) and the implant shoulder to the top of the buccal bone crest (IS-BBC) were significantly greater for the test 2 group in comparison with the other two groups (p < 0.05) at eight weeks. In addition, crestal bone resorption (CBR) increased in the crestal group at twelve weeks, but it was reduced for the test 1 and test 2 groups in implants placed sub-crestally (p < 0.05).

Conclusions

Crestal bone loss could be reduced using a 3 mm high abutment on implants submerged below the bone crest from 1 to 2 mm positions.
Chaos synchronization of stochastic time-delay Lur'e systems: An asynchronous and adaptive event-triggered control approach
Authors: Li Xinling , Qin Xueli , Wan Zhiwei , Tai Weipeng
Published: August 2023

We explore the master-slave chaos synchronization of stochastic time-delay Lur'e systems within a networked environment. To tackle the challenges posed by potential mode-mismatch behavior and limited networked channel resources, an asynchronous and adaptive event-triggered (AAET) controller is employed. A criterion on the stochastic stability and $ \mathcal{L}_{2}-\mathcal{L}_{\infty} $ disturbance-suppression performance of the synchronization-error system is proposed by using a Lyapunov-Krasovskii functional, a Wirtinger-type inequality, the Itô formula, as well as a convex combination inequality. Then, a method for determining the desired AAET controller gains is proposed by decoupling the nonlinearities that arise from the Lyapunov matrices and controller gains. Finally, the applicability of the AAET control approach is validated by a Chua's circuit.
Exponential projective synchronization analysis for quaternion-valued memristor-based neural networks with time delays
Authors: Guo Jun , Shi Yanchao , Luo Weihua , Cheng Yanzhao , Wang Shengye
Published: August 2023

The issues of exponential projective synchronization and adaptive exponential projective synchronization are analyzed for quaternion-valued memristor-based neural networks (QVMNNs) with time delays. Different from the results of existing decomposition techniques, a direct analytical approach is used to discuss the projection synchronization problem. First, in the framework of measurable selection and differential inclusion, the QVMNNs is transformed into a system with parametric uncertainty. Next, the sign function related to quaternion is introduced. Different proper control schemes are designed and several criteria for ascertaining exponential projective synchronization and adaptive exponential projective synchronization are derived based on Lyapunov theory and the properties of sign function. Furthermore, several corollaries about global projective synchronization are proposed. Finally, the reliability and validity of our results are substantiated by two numerical examples and its corresponding simulation.
Review of effective techniques for surface engineering material modification for a variety of applications
Authors: El-Awadi G. A.
Published: August 2023

The status of current advances in modifying surfaces for the protection of materials is reviewed in this research. The main goal of material selection is to improve and reinforce surface functionalities. A few examples of surface modification techniques include sol-gel, cladding, electroplating, plasma and thermal spraying, physical deposition of vapors (PVD), vapor chemical deposition (CVD) and beam electron physical vapor deposition (EB-PVD). Strengthening by flame, induction, laser or electron beam is one type of surface modification procedure. Other types include plasma-immersed ion implantation and ion implantation at high energies, as well as diffusion treatments like carburizing and nitriding. Friction control, improved surface corrosion and wear resistance and changes to a component's mechanical or physical qualities are all possible using surface modification methods. The study also contains contemporary research in laser therapy, PVD, EB-PVD, thermal spraying and ion implantation. Additionally, magnetron sputtering (MS) is a widely used and successful approach for thin film coating in the current study. It is crucial to remember that each approach has a distinct set of restrictions, and the method's parameters might change based on the one that is selected, such as deposition targets, overall vacuum substrate temperature, reactive or mixed gas type, pressure percentage and bias voltage, which all have impacts on the PVD technique's layer qualities. Phase formation, change in phase, hardness and film structure of monolayer and multilayer films formed on the substrate under various circumstances also cause variations in the characteristics. Additionally, ion implantation enhances the surface characteristics of layers by implanting ions such as N+, B+, C+, etc. The study shows that the higher layers of multilayer enhance the degree of hardness and lower friction coefficients. To enhance the protection of thermal resistance, a thermal spraying barrier coating was coated on substrate nickel-base alloys, and the surface materials' texture, hardness and wear rate were altered by laser beam. Additionally, a heat pipe's performance was improved by a factor of 300 by adding a tiny coating of gold.
SEINN: A deep learning algorithm for the stochastic epidemic model
Authors: Torku Thomas , Khaliq Abdul , Rihan Fathalla
Published: August 2023

Stochastic modeling predicts various outcomes from stochasticity in the data, parameters and dynamical system. Stochastic models are deemed more appropriate than deterministic models accounting in terms of essential and practical information about a system. The objective of the current investigation is to address the issue above through the development of a novel deep neural network referred to as a stochastic epidemiology-informed neural network. This network learns knowledge about the parameters and dynamics of a stochastic epidemic vaccine model. Our analysis centers on examining the nonlinear incidence rate of the model from the perspective of the combined effects of vaccination and stochasticity. Based on empirical evidence, stochastic models offer a more comprehensive understanding than deterministic models, mainly when we use error metrics. The findings of our study indicate that a decrease in randomness and an increase in vaccination rates are associated with a better prediction of nonlinear incidence rates. Adopting a nonlinear incidence rate enables a more comprehensive representation of the complexities of transmitting diseases. The computational analysis of the proposed method, focusing on sensitivity analysis and overfitting analysis, shows that the proposed method is efficient. Our research aims to guide policymakers on the effects of stochasticity in epidemic models, thereby aiding the development of effective vaccination and mitigation policies. Several case studies have been conducted on nonlinear incidence rates using data from Tennessee, USA.
Design of an automatic landscape design system in smart cities based on vision computing
Authors: Wu Wei , Luo Shicheng , Wang Hongying
Published: August 2023

In future smart cities, automatic landscape design can be viewed as a promising intelligent application to reduce the reliance on expert labors. As it is a kind of visual sensing activity, it is expected to develop a robust interaction platform with strong ability of visual information fusion. To deal with this issue, this paper integrates vision computing, and designs an automatic landscape design system in smart cities. The whole design framework can be attributed as three aspects of works: function analysis, structure design and implementation. Among, the visual information processing runs through the three aspects. Then, the generation process of landscape design is simulated in detail via a systematic case study. To prove the significance of visual information processing in our proposal, this article uses a model analysis method to compare the effects of traditional data processing technology and visual data processing technology. The analysis results show that vision computing technology provides technical support for landscape design. We also carry out some performance testing towards the designed automatic landscape design system, and evaluation results are demonstrated via visualization format. The designed automatic system is a proper prototype that can be developed to realistic engineering systems by some following completion.
Recommendation model based on intention decomposition and heterogeneous information fusion
Authors: Zhang Suqi , Wang Xinxin , Wang Wenfeng , Zhang Ningjing , Fang Yunhao , Li Jianxin
Published: August 2023

In order to solve the problem of timeliness of user and item interaction intention and the noise caused by heterogeneous information fusion, a recommendation model based on intention decomposition and heterogeneous information fusion (IDHIF) is proposed. First, the intention of the recently interacting items and the users of the recently interacting candidate items is decomposed, and the short feature representation of users and items is mined through long-short term memory and attention mechanism. Then, based on the method of heterogeneous information fusion, the interactive features of users and items are mined on the user-item interaction graph, the social features of users are mined on the social graph, and the content features of the item are mined on the knowledge graph. Different feature vectors are projected into the same feature space through heterogeneous information fusion, and the long feature representation of users and items is obtained through splicing and multi-layer perceptron. The final representation of users and items is obtained by combining short feature representation and long feature representation. Compared with the baseline model, the AUC on the Last.FM and Movielens-1M datasets increased by 1.83 and 4.03 percentage points, respectively, the F1 increased by 1.28 and 1.58 percentage points, and the Recall@20 increased by 3.96 and 2.90 percentage points. The model proposed in this paper can better model the features of users and items, thus enriching the vector representation of users and items, and improving the recommendation efficiency.
Does supply chain finance business model innovation improve capital allocation efficiency? Evidence from the cost of capital
Authors: Wang Ping , Chen Rui , Huang Qiqing
Published: August 2023

Based on the sample of China's A-share listed companies from 2008 to 2021 and the text analysis data of supply chain finance, this study examines whether the supply chain finance business model innovation can improve the efficiency of capital allocation. Results showed that: 1) Firms with a supply chain finance business model have a low cost of capital, particularly the cost of equity capital; 2) The supply chain finance business model reduces the cost of capital in firms with low strategic commitment and a high degree of information asymmetry; 3) The supply chain finance business model innovation can reduce the cost of capital when the degree of competition in the external product market is low and the internal enterprise scale is large. The above findings can greatly inform the optimization of equity finance market supply, the promotion of innovation, and the provision of investment and financing and business decisions that are consistent with sustainable development goals.
The Effect of Group Size on Cognitive and Behavioural Students' Engagement
Authors: Laaziz Youssef , Chemsi Ghizlane , Radid Mohamed
Published: August 2023

The size of the group is an important subject to discuss, especially in light of the challenges that appear with the trend toward large institutions with large student bodies in higher education, including the quality of student integration and the quality requirements that higher education must meet in light of the high qualifications demanded by the world of employment. In this study, we examine the effect of learning-group size on students’ cognitive and behavioral engagement. In a quantitative approach, a questionnaire survey is used to collect data from 234 students at the Hassan II University in Casablanca. The purpose of this research is to demonstrate the influence of group size on students’ cognitive and behavioral engagement. The participants were separated into 140 students in large groups and 94 small groups. A questionnaire measured the impact of group size on participants’ cognitive and behavioral engagement and had a Cronbach’s alpha value of 0.9. According to the study’s findings, group size should be taken into account because it affects most factors related to cognitive and behavioral engagement. To increase student involvement and boost their academic achievement, it is advised that more empirical research should be done in order to develop pedagogical strategies to control this difference much better.
Evaluation of Online Teaching Effect of Vocational College Teachers Based on TOPSIS Technology and the Hierarchical Chi-Square Model
Authors: Zheng Yuzihe
Published: August 2023

Internet teaching space requires teachers to be skilled in new technological platforms and tools and use new teaching interaction modes and evaluation means. Moreover, most front-line teachers have no online teaching experience before and bear the great pressure of online teaching. Hence, the evaluation of online teaching is challenge that has to be solved. A total of 169 teachers from six vocational colleges in Zhejiang Province were chosen as the research subjects in this study to improve the poor accuracy of the simple linear evaluation results of traditional classroom teaching. The relative efficacy of the online teaching quality of 169 teachers was estimated through the technique for order of preference by similarity to ideal solution (TOPSIS) technology. Next, the causal relationship between excellent achievement in online teaching training and the teaching effect of teachers with different titles was analyzed using the hierarchical chi-square model. Research results demonstrated that 12 level-2 indexes used in this study could depict the online teaching effect of university teachers comprehensively. The TOPSIS method calculated the scientific and reasonable ranking and evaluation values of 169 teachers. The Cochran–Mantel– Haenszel conditional independence test of the chi-square test presented significance. Our study of the instruments used to evaluate teacher success in online teaching shows that significant differences exist between evaluation grades for online teaching training and excellent achievement in online teaching training. This study can provide important references to comprehensively guide teachers to understand the value orientation of the new online teaching mode.
Evaluation and Analysis of the Implementation Effects in Practical-Course Blended Learning Based on Virtual Reality Technology
Authors: Peng Man
Published: August 2023

Practical-course blended learning based on virtual reality (VR) technology combines VR with traditional practical teaching, which provides students with a more diverse and personalized learning experience. The existing evaluation and analysis methods of teaching model implementation effects have shortcomings. Although VR technology plays an important role in practical-course blended learning, excessive reliance on technical means may lead to limitations in evaluation methods. Therefore, this study aimed to explore the evaluation and analysis of implementation effects of VR-based practical-course blended learning. Different types of teaching models were represented. A robust multi-target collaborative tracking method based on variational Bayesian inference was applied to track and evaluate the implementation effects of practical-course blended learning. The experimental results verified the effectiveness of the proposed method and explored the impact of different teaching models on the average scores and score stability of evaluation methods. Analysis results of score data showed that the assisted-teaching model improved the homework performance of students and the blended-learning model improved the performance of students in tests and final exams, while the complete teaching model performed more balanced in all aspects.
Students’ Composition Evaluation Model Based on Natural Language Processing Algorithm
Authors: Wang Lin , Deng Weifeng
Published: August 2023

It is subjective, time consuming and labor intensive to evaluate students’ compositions. Use of natural language processing (NLP) technology effectively improves the evaluation efficiency and reduces the burden on teachers. In order to overcome the problems of traditional models, such as over-fitting and poor generalization ability, this research studied a students’ composition evaluation model based on an NLP algorithm. A students’ composition evaluation model based on a multi-task learning framework was proposed, which completed three sub-tasks simultaneously using the NLP algorithm. Three different encoding methods were used; namely, convolutional neural network (CNN), recurrent neural network (RNN), and long short-term memory (LSTM), which captured text information from multiple perspectives. A new pairing pre-training mode was built, which aimed to help build an NLP-based students’ composition evaluation model based on the multi-task learning framework, thus alleviating the deviation caused by excessive correlation. The experimental results verified that the constructed model and the proposed method were effective.
A sequência didática: ampliando a reflexão sobre este dispositivo
Authors: Parahyba Fatiha , Silva Meire Celedonio
Published: August 2023

Este artigo tem por objetivo discutir a relevância do dispositivo sequência didática no processo de ensino e aprendizagem de produção de gêneros orais e escritos, dando ênfase aos saberes a ele relacionados e, em especial, aos componentes avaliação formativa e regulação. Trata-se de uma pesquisa documental de duas dissertações de 2018, desenvolvidas no âmbito do programa de mestrado profissional em letras. Este trabalho se ancora nos pressupostos teóricos do Interacionismo Sociodiscursivo de Bronckart (1999), Dolz et al., (1993/2017); Dolz et al., (2001/2004); Hofstetter e Schneuwly (2009); Vanhulle (2009), no contexto da didática das línguas. Para a avaliação, apoiamo-nos em Allal, (1999; 2018; 2021). A partir dessa base teórica, analisamos os saberes para ensinar, sobretudo em relação ao dispositivo sequência didática, focalizando a avaliação formativa e a regulação como componentes indispensáveis para aprendizagem e desenvolvimento. A análise mostra que os professores mobilizam diferentes saberes para a construção de sua sequência e, ao mesmo tempo, apresentam algumas dificuldades na compreensão teórica da proposta, o que implica lacunas na construção de uma sequência didática e na sua implementação. Entre elas se destaca a ausência de avaliação formativa e de regulação, um possível indicador de falta de saberes relativos à avaliação.
Palavras-chave: Sequência didática; Saberes; Avaliação formativa.
A produção do gênero artigo científico por alunos de ensino médio: a mobilização de capacidades discursivas
Authors: Pereira Regina Celi Mendes , Gonçalves Leite Evandro
Published: August 2023

O presente artigo investiga conhecimentos que alunos de ensino médio participantes de projetos de iniciação científica mobilizam e empregam na escrita de artigos científicos, mais especificamente quanto às capacidades discursivas e suas respectivas operações de linguagem. Para tanto, selecionamos dez artigos científicos de duas áreas do conhecimento – Ciências Agrárias e Linguística, Letras e Artes –, produzidos por alunos da educação profissional técnica de nível médio, em coautoria com seus orientadores e com temáticas afins às dos projetos de pesquisa. Tais dados são analisados comparativamente, por meio de abordagem qualitativo-interpretativista, a partir de subsídios teóricos do Interacionismo Sociodiscursivo (ISD), notadamente quanto às noções de capacidades e operações de linguagem. As análises revelam que os agentes produtores de ambas as áreas mobilizam tipos de discursos, sequências textuais e outras formas de planificação parecidas, ao passo que adotam planos de texto peculiares, de acordo com convenções que parecem mais relacionadas a cada área do conhecimento. Isso demonstra que os produtores, ao adotarem um modelo de gênero, conseguem adaptá-lo a características discursivas da ação de linguagem em que se envolvem, o que sugere um processo formativo em curso.
Palavras-chave: capacidades discursivas; artigo científico; ensino médio.
A formação docente para o ensino da produção de textos na escola básica: uma transgressão necessária
Authors: Oliveira Andréa Ramos de , Parisotto Ana Luzia Videira
Published: August 2023

Este artigo, elaborado a partir de pesquisa-ação crítico colaborativa, de natureza aplicada e abordagem qualitativa, enfocou processos formativos continuados sobre o ensino da produção textual, envolvendo docentes, gestores de escola e de sistema. Visa à análise de modelo formativo implementado em rede municipal do interior paulista pela exposição das bases teóricas que o sustentaram e apresentação de desdobramentos de encontros formativos. Utiliza dados do questionário aplicado e de filmagens realizadas, analisados pela triangulação de dados. No campo da formação docente, tomaram-se estudos de Eraut (1987), Ferry (1987), Zeichner (1993), Demailly (1997), Pacheco e Flores (1999), Day (2001), Oliveira-Formosinho (2009), Cardoso et. al. (2012), Diniz-Pereira (2014), Shulman (2014), Carnin (2015), Guimarães (2016), Ferreira e Santos (2016).  Os resultados, neste recorte, levam à identificação da utilização do livro didático e de propostas disponíveis na Internet para trabalhar a produção de textos, revelando a necessidade de desenvolvimento do olhar crítico dos professores sobre as fontes consultadas. As estratégias formativas utilizadas permitiram o reconhecimento pelos participantes da proximidade entre seus planejamentos e a estrutura dos livros didáticos. Constata-se que a autoria no planejamento docente pode ressignificar o fazer pedagógico. 
Palavras-chave: Formação Docente; Ensino de Língua Materna; Livro Didático.
Práxis decolonial no cursinho popular Viva a Palavra: letramentos de reexistência
Authors: Brito Gílian Gardia Magalhães , Sousa Antonio Oziêlton de Brito , Alencar Claudiana Nogueira de
Published: August 2023

Objetivamos evidenciar como os processos de formação do Cursinho Popular Viva a Palavra se configuram como letramentos de reexistência, a partir de uma práxis decolonial, que visa desestabilizar discursos “cristalizados”, cujas práticas validadas socialmente são apenas as aprendidas em modelos de educação formal tradicional. Portanto, tomamos como base o que é proposto como letramento de reexistência (Souza, 2011) em diálogo com as epistemologias decoloniais de pensadores da América Latina (Grosfoguel, 2010; Quijano, 2005; Souza, 2011; Freire, 2013), que se voltam para as problemáticas cotidianas dos sujeitos marginalizados no mundo moderno capitalista. As ações do cursinho se configuram segundo a metodologia da cartografia, caracterizada por acompanhar processos. Assim, as práticas sociais desenvolvidas em Educação Popular e Aprendizagem Cooperativa corroboram para o processo de reexistência e produção de subjetividades de jovens da periferia, mostrando alternativas aos discursos hegemônicos e excludentes construídos sócio historicamente. 
Palavras-chave: Cursinho popular; Letramentos de reexistência; Decolonialidade.
Variação linguística em materiais didáticos de Português Língua Estrangeira (PLE)
Authors: Araújo Alexandra , Coan Márluce
Published: August 2023

Neste artigo, analisamos atividades referentes à variação na codificação do sistema temporal (tempo/aspecto/modo) em dois cadernos de exercícios da coleção Bem-Vindo (Calles et al; Burim e Medrado, 2013). Das 23 questões sobre tempo/aspecto/modo do caderno para estudantes de origem latina, somente 04 dão margem a considerações sobre variação; já no caderno destinado aos estudantes de origem anglo-saxônica, há 07 atividades propícias ao tratamento da variação das 39 observadas. Do caderno destinado aos estudantes de origem latina, somente uma questão se volta estritamente à variação em perspectiva clássica (na acepção de mesmo significado referencial): variação entre imperativo versus infinitivo em atos de comando.  Das outras três, embora valores temporais igualitários estejam em cena, há divergências aspectuais e/ou modais. No caderno para alunos de origem anglo-saxônica, há questões sobre forma simples versus composta do pretérito mais-que-perfeito; perfeito e imperfeito; presente do indicativo e futuro do pretérito; pretérito perfeito composto e presente do indicativo; formas de imperativo em função dos pronomes (tu x você); ser/estar auxiliares e particípio passado. Essas tendências de tratamento variacionista apontadas podem fomentar a elaboração de outros materiais didáticos, o que implicaria consonância com o que a literatura linguística tem evidenciado em descrições sobre fenômenos em variação.
Palavras-chave: Variação; Materiais Didáticos; Português Língua Estrangeira.
Intelligent kindness
Authors: Sathiadas M. G.
Published: August 2023

No abstract available