Important Content Research Articles

Teaching with Generative AI: moving forward with content creation

Generative AI is widely available and has raised the expectation that it will impact Education. Models, such as ChatGPT, can quickly produce plausible texts on a wide range of topics, and this capability may be of potential use in course content production. This paper selects several important course content production tasks, describes the prompts used, and assesses the quality of the automatically generated texts by a team of experts. Across all tasks, the Generative AI produced content that could help solve specific tasks by aiding with brainstorming, creating outlines, and adhering to particular writing guidance. In all cases, the content required adjustments and checking by human experts.

Preferences for Text Messaging Supports During Youth Transition to Adult Mental Health Services: Theory-Informed Modified e-Delphi Study.

For many young people, the transition from child to adult mental health services is a vulnerable time associated with treatment disengagement and illness progression. Providing service information and options to youth, appealing to them, and tailoring to their needs during this period could help overcome systematic barriers to a successful transition. We know little about how SMS text message-based interventions might be leveraged to support the motivational, informational, and behavioral needs of youth during this time. Ascertaining youth preferences for the content and functionality of an SMS text message service could inform prototype development. This study investigated consensus preferences among youth on important content, technology features, and engagement supports to inform a transition-focused SMS text message service. A modified e-Delphi survey design was used to collect demographics, current levels of technology use, importance ratings on message content, preferred technical features, and barriers and enablers to engagement for youth in Canada aged 16-26 years who have accessed mental health services within the past 5 years. Survey items on content were categorized according to the information-motivation-behavioral skills (IMB) model. Survey items on technical features were categorized according to the persuasive system design (PSD) model. A predefined consensus rating matrix and descriptive statistics were used to characterize the sample. The high consensus threshold was 70%. A total of 100 participants, predominantly non-White (n=47, 47%), aged 20-26 years (n=59, 59%), and who had first accessed mental health services between the ages of 13 and 19 years (n=60, 60%), were selected. The majority (n=90, 90%) identified as daily SMS text message users. A high level of consensus on importance ratings was reported in 45% (9/20) of content items based on the IMB model. There were higher levels of consensus on importance ratings related to behavior domain items (3/3, 100%) than information domain items (4/9, 44%) or motivation domain items (2/8, 25%). A high level of consensus on importance ratings was reported in only 19% (4/21) of feature and functionality items based on the PSD model. Among PSD model categories, there was a high level of consensus on importance ratings in 8% (1/12) of the primary task support domain items and 100% (3/3) of the system credibility support domain items. None of the dialogue-support and social-support domain items met the high level of consensus thresholds. In total, 27% (27/100) of youth indicated that the most significant enabler for engaging with a transition-focused SMS text message intervention was the personalization of text messages. Scientists developing next-generation SMS text messaging interventions for this population need to consider how levels of consensus on different features may impact feasibility and personalization efforts. Youth can (and should) play an integral role in the development of these interventions.

Teaching Disaster Nursing Competencies: Strategies to Succeed.

Disaster education for nurses at all levels is imperative to improve the ability for communities to be prepared to respond and recover from disasters and public health emergencies. A variety of educational strategies are available to deliver this vital content. A variety of strategies to deliver necessary disaster nursing education are discussed. The development of online disaster response modules for nurses at all levels from nursing student through advanced practice, delivered via a learning management system is described along with standard approaches to disaster content delivery. All methods of teaching disaster nursing competencies are valued. Through the effective online approach, nurses can receive disaster management training at the time and location that is most comfortable and convenient for them, thus increasing the potential to train more nurses in this important content area. [J Nurs Educ. 2024;63(X):XXX-XXX.].

Development of an mHealth App by Experts for Queer Individuals' Sexual-Reproductive Health Care Services and Needs: Nominal Group Technique Study.

Queer individuals continue to be marginalized in South Africa; they experience various health care challenges (eg, stigma, discrimination, prejudice, harassment, and humiliation), mental health issues (eg, suicide and depression), and an increased spread of HIV or AIDS and sexually transmitted illnesses (STIs; chlamydia, gonorrhea, and syphilis). Mobile health (mHealth) apps have the potential to resolve the health care deficits experienced by health care providers when managing queer individuals and by queer individuals when accessing sexual-reproductive health care services and needs, thus ensuring inclusivity and the promotion of health and well-being. Studies have proven that the nominal group technique (NGT) could be used to solve different social and health problems and develop innovative solutions. This technique ensures that different voices are represented during decision-making processes and leads to robust results. This study aims to identify important contents to include in the development of an mHealth app for addressing the sexual-reproductive health care services and needs of queer individuals. We invited a group of 13 experts from different fields, such as researchers, queer activists, sexual and reproductive health experts, private practicing health care providers, innovators, and private health care stakeholders, to take part in a face-to-face NGT. The NGT was conducted in the form of a workshop with 1 moderator, 2 research assistants, and 1 principal investigator. The workshop lasted approximately 2 hours 46 minutes and 55 seconds. We followed and applied 5 NGT steps in the workshop for experts to reach consensus. The main question that experts were expected to answer was as follows: Which content should be included in the mHealth app for addressing sexual-reproductive health care services and needs for queer individuals? This question was guided by user demographics and background, health education and information, privacy and security, accessibility and inclusivity, functionality and menu options, personalization and user engagement, service integration and partnerships, feedback and improvement, cultural sensitivity and ethical considerations, legal and regulatory compliance, and connectivity and data use. Overall, experts voted and ranked the following main icons: menu options (66 points), privacy and security (39 points), user engagement (27 points), information hub (26 points), user demographics (20 points), connectivity (16 points), service integration and partnerships (10 points), functionalities (10 points), and accessibility and inclusivity (7 points). Conducting an NGT with experts from different fields, possessing vast skill sets, knowledge, and expertise, enabled us to obtain targeted data on the development of an mHealth app to address sexual-reproductive health care services and needs for queer individuals. This approach emphasized the usefulness of a multidisciplinary perspective to inform the development of our mHealth app and demonstrated the future need for continuity in using this approach for other digital health care innovations and interventions.

A multiscale dilated attention network for hyperspectral image classification

Hyperspectral imaging is an image obtained by combining spectral detection technology and imaging technology, which can collect electromagnetic spectra in the wavelength range of visible light to near-infrared. It is an important research content in the field of ground observation in hyperspectral remote sensing. However, hyperspectral image face significant challenges in classification task due to their high spectral dimensions, lack of labeled samples, and strong correlation between bands. In order to fully extract features from both spectral and spatial dimensions and improve classification accuracy in the case of limited training samples, a multiscale dilated attention network is proposed for hyperspectral image classification. First, a three-dimensional convolutional layer is used to extract the shallow features of the image. Then, a multiscale dilated attention module is proposed by combining dilated convolution and channel attention. Using ordinary convolution and dilated convolution to form different receptive fields. Channel attention is used to remodel the obtained multiscale features, enhancing the inter-channel correlation. After that, a multiscale spatial-spectral attention module is constructed using multiple asymmetric convolutions to obtain spatial and spectral attention features at different positions, further enhancing important feature suppression over non-important features. Finally, using softmax to classify the obtained features. Using Indian Pines, Pavia University, KSC and University of Houston as experimental datasets, the overall classification accuracy of this paper’s method achieved 98.97%, 99.14%, 99.45%, and 98.56% respectively, using only 5%, 1%, 10%, and 10% of training samples per class. Compared with seven advanced classification methods, the experimental results show that the proposed method can achieve the highest classification accuracy with limited training samples.

HOUSING, COMMUNITY, SOCIAL AND SETTLEMENT POLICY FROM A RESIDENTIAL PERSPECTIVE – THE TRADITIONS AND PRESENT OF THE IGS ENVIRONMENT

The text outlines the reasoning of representatives of the Institute of Social Economy (IGS) in the area from early courts on housing issues by understanding, determining and defining municipal and social policy for those regarding housing and settlement policy considered from today's perspective. The issues of housing, municipal, social and settlement policy contained in the text are only a small spectrum of residence. It does not include the work of representatives of the IGS focusing on various aspects and cross-sections of these types of policies and works on demographic and economic phenomena and processes constituting a significant cause and at the same time the effect of shaping the housing and settlement situation deciding to inhabiting. The selection of publications cited in the text illustrates the most important substantive content in the adopted consideration.

The Construction of an English Network Course Based on the Theory of Hybrid Real-Time Synchronization Algorithm

At present, the construction of online courses is an important content in the process of educational informatization. At present, there are two problems in the construction of online courses: from the teaching point of view, the design of teaching activities and teaching processes in online courses is not enough, and the teaching effect is not good. Technically, the development of most courses is basically one-off and cannot be updated quickly. Due to the small scale, limited access and strong pertinence of SPOC, it has obvious advantages to implement the online and offline mixed teaching mode of college English based on SPOC in college English teaching. This paper mainly studies the research and analysis of English online courses based on the hybrid real-time synchronization algorithm. This paper combines OFDM synchronization algorithm with SPOC hybrid algorithm teaching to analyze and study it. According to the research, the influence of English online teaching course is very great, and the effect is more obvious than that of traditional teaching.

Research on the Privacy Paradox Behavior in WeChat Moments Based on Grounded Theory

As an important content sharing platform in social life, WeChat Moments has gradually shown a cold phenomenon, reflecting the characteristics of users privacy paradox behavior in posting Moments. In this context, there is a gap between users attitudes toward privacy on social media and their actual behaviors. This study collected data on the privacy paradox behavior of 20 users through semi-structured interviews and used NVivo12 software based on the three-level coding framework of grounded theory to discuss the factors influencing privacy paradox behavior in WeChat Moments users and to construct a model of influencing factors for privacy paradox behavior. The study found that social factors, user factors, platform factors, and situational factors all have a significant impact on the privacy paradox behavior of Moments users. The platform still needs to optimize user privacy protection functions and enhance users awareness of personal information protection.

Ab‐HIDS: An anomaly‐based host intrusion detection system using frequency of N‐gram system call features and ensemble learning for containerized environment

SummaryCloud's operating‐system‐level virtualization has introduced a new phase of lightweight virtualization through containers. The architecture of cloud‐native and microservices‐based application development strongly advocates for the use of containers due to their swift and convenient deployment capabilities. However, the security of applications within containers is important, as malicious or vulnerable content could jeopardize the container and the host system. This vulnerability also extends to neighboring containers and may compromise data integrity and confidentiality. The article focuses on developing an intrusion detection system tailored to containerized cloud environments by identifying system call analysis techniques and also proposes an anomaly‐based host intrusion detection system (Ab‐HIDS). This system employs the frequency of N‐grams system calls as distinctive features. To enhance performance, two ensemble learning models, namely voting‐based ensemble learning and XGBoost ensemble learning, are employed for training and testing the data. The proposed system is evaluated using the Leipzig Intrusion Detection Data Set (LID‐DS), demonstrating substantial performance compared to existing state‐of‐the‐art methods. Ab‐HIDS is validated for class imbalance using the imbalance ratio and synthetic minority over‐sampling technique methods. Our system achieved significant improvements in detection accuracy with 4% increase for the voting‐based ensemble model and 6% increase for the XGBoost ensemble model. Additionally, we observed reductions in the false positive rate by 0.9% and 0.8% for these models, respectively, compared to existing state‐of‐the‐art methods. These results illustrate the potential of our proposed approach in improving security measures within containerized environments.

Orthodontic YouTube™ videos made by patients for patients: What are they about and are they accurate?

To evaluate the characteristics and content of YouTube™ videos created by patients undergoing orthodontic fixed appliance treatment and to assess the content accuracy of these videos. A mixed-methods quantitative and qualitative study. YouTube™ webpage. The term 'braces' was used to search for relevant videos on the YouTube™ webpage between 18 August and 30 August 2020, with no limits imposed regarding how long the video had been available on YouTube™. Videos were included if they were made by patients and were predominantly about patients' experiences during treatment with labial fixed appliances. The main themes/subthemes of the included videos were identified. A checklist was then developed to assess accuracy of the video content for two of the main themes and the videos were assessed against the checklist. The video search identified 350 videos, of which 64 were selected as potentially eligible; 41 were subsequently excluded as they related primarily to the bond up/debond experience or had minimal information about orthodontics. This meant that 23 videos were ultimately included for analysis. Six main themes were identified in the videos: problems with fixed appliances, effects of fixed appliances, oral hygiene maintenance, dietary advice, treatment duration/appointment frequency and auxiliaries used with fixed appliances. From the 23 videos, 20 were assessed against the checklist for content accuracy related to two selected themes: oral hygiene maintenance and dietary advice. The majority of videos had low content accuracy scores, indicating that important and relevant content was generally missing. Several included videos focused on oral hygiene maintenance and dietary advice associated with fixed appliances; however, the content was incomplete and not always accurate. This is concerning to the profession, and it is therefore recommended that clinicians consider collaborating with patients to produce videos that are patient-centred and that also contain accurate information.

Discussions on the Construction of “Double-Qualified” Teachers in Higher Vocational Colleges

Creating a “double-qualified” teacher team is an important content in the construction of a higher vocational college teacher team. This paper probes into the significance of the construction of “double-qualified” teachers in higher vocational colleges, and deeply analyzes the problems existing in the construction of “double-qualified” teachers’ training base, the institutionalization of “double-qualified” teacher rotation training, the regularization of cooperation with enterprises, and the rationalization of incentive mechanism. Therefore, it is of great practical significance to strengthen the theoretical research and practical exploration of the construction of “double-qualified” teachers.

Enhancing Critical Reading Through Metacognitive Scaffolding in Flipped-Classroom

Critical reading is paramount for students to comprehend texts efficiently during and beyond their academic studies. Searching for and filtering information is crucial in distinguishing between important and unimportant content. Despite its significance, students often lack proper instruction in critical reading, highlighting a need for effective learning models. The Metacognitive, Scaffolding in Flipped Classroom (Ms-Flics) model addresses this gap by combining metacognitive reading and scaffolding strategies in a flipped classroom. This study evaluates the model’s efficacy in enhancing students’ critical reading skills. The research employs quantitative methods, conducted with grade 9 students in Surakarta, Indonesia, comparing pre- and post-treatment test results. Using cluster random sampling, two classes of 65 students were administered tests before and after the intervention. Analysis using paired T-tests revealed a significant improvement post-treatment. The findings underscore the effectiveness of the Ms-Flics model in enhancing critical reading skills among grade 9 students. The study contributes theoretically by proposing a novel learning model that integrates metacognitive reading, scaffolding strategies, and flipped classroom approaches to improve critical reading skills.

The role of family education in enhancing gender equality in Vietnam

Gender equality is a very important issue of concern to the whole world. If the issue of women's liberation is the most basic issue among women's struggles, then equality between men and women is considered the most important and core content of this issue. The family is the place where gender issues are socialized and gender knowledge and skills are passed on. In this article, the author will focus on clarifying issues such as: the role of education; propaganda role to raise awareness; the role of division of labor according to gender; Conditions to promote gender equality from family. Through research, the author will provide opinions for discussion and open up future research directions.

Research on image saliency detection based on deep neural network

AbstractAs a hot research field at present, computer vision is devoted to the rapid acquisition and application of target information from images or videos by simulating human visual mechanism. In order to improve the accuracy and efficiency of image detection, image saliency region detection technology has received more and more attention in the field of computer vision research; an important research content in the field, the core part of which lies in the research on algorithms related to feature extraction and saliency calculation of targets. This paper analyzes the multi‐feature fusion saliency detection model and visual saliency calculation process, and based on the existing algorithm, by improving the VGG16 network, a fully convolutional network saliency detection algorithm is proposed. The qualitative and quantitative experimental results show that compared with the four mainstream methods of BL, GS, SF, and RFCN, our algorithm not only improves the accuracy of salient object detection, but also effectively solves the problem of target edge blur. Therefore, this study has improved the accuracy and efficiency of saliency detection, which can not only promote the development of computer vision technology, but also provide support for research in the field of image processing.

Antioxidant and antibacterial efficiency of the ethanolic leaf extract of Kratom (Mitragyna speciosa (Korth.) Havil) and its effects on growth, health, and disease resistance against Edwardsiella tarda infection in Nile tilapia (Oreochromis niloticus)

The research examined the impact of an ethanolic extract from the leaves of Kratom (Mitragyna speciosa (Korth.) Havil.) on the growth, antioxidant capacity, immune-related gene expression, and resistance to disease caused by Edwardsiella tarda in Nile tilapia (Oreochromis niloticus). The findings revealed that the extract had the important phytochemical content in the extract included total phenolics content, total flavonoids content, vitamin C, and total antioxidant capacity and 5.42 % of the crude extract was mitragynine. The extract demonstrated antioxidant activity, as evidenced by its IC50 values against ABTS and DPPH radicals and its ferric reducing power in vitro. Moreover, the MIC-IC50 value of 0.625 mg/mL indicated that the growth of the bacteria was reduced by approximately 50 %, and the MBC was 2.50 mg/mL against E. tarda. Furthermore, the orally administered Kratom leaf extract to fingerling tilapia for 8 weeks exhibited a noticeable increase in oxidative stress, as demonstrated by the increase in MDA production in the 10 and 25 g/kg groups. It also exhibited an increase in acetylcholinesterase (AChE) activity in muscle tissue at the 50 g/kg group. However, when administered at a feeding rate of 5–10 g/kg feed, the extract showed an increase in the expression of immune-related genes (IL1, IL6, IL8, NF-kB, IFNγ, TNFα, Mx, CC-chemokine, CD4, TCRβ, MHC-IIβ, IgM, IgT, IgD) and enhanced resistance to E. tarda infection in fish. Conversely, administering the extract at 25–50 g/kg feed resulted in contrasting effects, suppressing and reducing the observed parameters. Nevertheless, feeding the extract at all concentrations for 8 weeks did not produce any changes in the histology or systemic functioning of the liver and intestines, as indicated by blood biochemistry. These findings suggest that the ethanolic leaf extract from Kratom has the potential to be used as a substitute for antibiotics in the management of bacterial infections in Nile tilapia culture, with a recommended dosage of 5–10 g/kg feed/day for a maximum of 8 weeks.

A roadmap for clinical trials in MASH-related compensated cirrhosis.

Although metabolic dysfunction-associated steatohepatitis (MASH) is rapidly becoming a leading cause of cirrhosis worldwide, therapeutic options are limited and the number of clinical trials in MASH-related compensated cirrhosis is low as compared to those conducted in earlier disease stages. Moreover, designing clinical trials in MASH cirrhosis presents a series of challenges regarding the understanding and conceptualization of the natural history, regulatory considerations, inclusion criteria, recruitment, end points and trial duration, among others. The first international workshop on the state of the art and future direction of clinical trials in MASH-related compensated cirrhosis was held in April 2023 at Vall d'Hebron University Hospital in Barcelona (Spain) and was attended by a group of international experts on clinical trials from academia, regulatory agencies and industry, encompassing expertise in MASH, cirrhosis, portal hypertension, and regulatory affairs. The presented Roadmap summarizes important content of the workshop on current status, regulatory requirements and end points in MASH-related compensated cirrhosis clinical trials, exploring alternative study designs and highlighting the challenges that should be considered for upcoming studies on MASH cirrhosis.

Research on the Method of Practical Localization Transformation of Innovation and Entrepreneurship Curriculum

Innovation and entrepreneurship education is an important content of higher education, which is of great significance for cultivating students innovative spirit and practical ability. However, at present, there are problems in innovation and entrepreneurship courses, such as the content divorced from reality and single teaching methods, which need for practical and localized transformation. This paper puts forward the countermeasures of practical and localized transformation of innovation and entrepreneurship curriculum from four aspects of course content, teaching method, practical platform and evaluation mechanism, aiming to improve the quality and effect of innovation and entrepreneurship education.

Universal Grammar and Universal Grammar’s Influence and Related Theories Concerning Second Language Acquisition

Universal Grammar, represented by Chomsky, believes that the human brain is born with a Language Acquisition Device. Under the stimulation of the language environment, the language function of the human brain dedicated to language learning will be activated and begin to acquire a language. Universal grammar is the core idea of Chomsky's generative linguistics theory, which is composed of a limited number of syntactic principles representing the common features of human language. It is precisely because the human brain naturally generates this universal grammar that human beings can acquire their own mother tongue when language input is poor or even lacks "negative corpus" (that is, the indication of language errors or faults). Chomsky once proposed a simple language acquisition model, namely "language input —Language Acquisition Device —language acquisition", which means that language input generates grammar through Language Acquisition Device, thus acquiring language. It is worth noting that Chomsky's theory is not specifically designed for the study of Second Language Acquisition, and he himself has not given any guidance in this field, but it provides theoretical support for the theory of Second Language Acquisition (Yang Chunyuan, 2020). Hence, learning the whole semester’s course of Second Language Acquisition, having seen universal grammar as a important content in my textbook, this paper tries to integrate these related theories and make a conclusion and comment or paraphrasing（not all the bibliographies are quoted directly in this paper, paraphrased or arranged instead）based on various bibliographies.

Sustainable Development of China’s Intangible Cultural Heritage in Rural Revitalization based on Experience Perspective

The protection and inheritance of the local intangible cultural heritage (ICH) holds profound significance, which has the characteristics of oral transmission and the intertwining of time and space, is an important content and means of rural cultural governance in China in the new era. It is significant in value for promoting rural revitalization and passing on the cultural genes of China. As rural society transforms, the change of rural social structure and cultural order leads to some conflicts for rural ICHs in China, such as subjective crises, weakening of values and the impact of modernity. Therefore, this paper combines the advantages of experience with the inheritance needs of ICH and puts its inheritance and protection under the national strategy of rural revitalization. The study focuses on the function of ICH in rural revitalization from the perspective of experience and explores the topic from three levels: the government, universities, and villages. Moreover, we provide sustainable development strategies for integrating intangible cultural heritage into rural revitalization to promote the revival of rural culture. This article explores the mutually beneficial relationship between intangible cultural heritage and rural revitalization, enhancing our understanding of both aspects. The primary contribution lies in providing sustainable development strategies for integrating intangible cultural heritage into rural revitalization at the government, university, and village levels.

The moral contents in the wills of the Rightly Guided Caliphs and their princes - the Caliph of Abu Bakr Al-Siddiq (11-13 AH / 632-634 AD) as a model- a historical and analytical study

The Rightly Guided (Rashidin) Caliphs and their commanders provided many recommendations and directives to the Islamic armies, especially during their mobilization and sending them to conquests and battles, whether in Iraq or the Levant. Also to the Muslims during some important historical events that occurred during the Rightly Guided era. The Caliph Abu Bakr Al-Siddiq, “may God be pleased with him” (11-13 AH / 632-634 AD), provided many recommendations and instructions to many of his leaders, including Osama bin (son of) Zaid and others, Likewise, the general Muslims received many recommendations and directives after the death of the prophet (peace be upon him). Likewise, some leaders and commanders of the Islamic armies carried out the commandment of Caliph Abu Bakr Al-Siddiq himself, including Commander Khalid bin Saeed. These numerous commandments and instructions included important moral contents that later became a constitution and a path followed by Muslims in their lives and their dealings with others. These moral contents also became a rule and law that Islamic armies followed during conquests and battles. Therefore, the research focused on these moral implications, explaining and clarifying them, especially for the period (11-13 AH/632-634 AD) of The Rightly Guided era