Collaborative Guidance Research Articles

Research on Cooperative Guidance Technology of Small Tactical Air-to-ground Missile

Abstract To explore the feasibility of collaborative guidance for small tactical air-to-ground missiles and enhance their ability to cope with future complex battlefield systems, this article first elaborated on the principle of multi missile collaborative guidance. Then, based on the operational mission of air-to-ground missiles, several collaborative guidance combat modes were proposed. For specific combat modes, time and angle collaborative guidance laws suitable for air-to-ground missiles were designed and developed. Overcoming the problems of short flight time, fast speed and inability to adjust of air-to-ground missiles, and completing mathematical simulation calculations, the results show that this method can effectively solve the problem of coordinated guidance of air-to-ground missiles, achieve simultaneous attack, rapid attack, and multi target attack, and improve the penetration ability, battlefield survival ability, and strike ability of air-to-ground missiles against targets.

Multi-Scale Spatial-Angular Collaborative Guidance Network for Heterogeneous Light Field Spatial Super-Resolution

Multi-Scale Spatial-Angular Collaborative Guidance Network for Heterogeneous Light Field Spatial Super-Resolution

21. THE PREVALENCE OF CERVICAL CANCER SCREENING IN LOW AND MIDDLE-INCOME COUNTRIES: A LITERATURE REVIEW

Objectives: to determine the prevalence of cervical cancer screening in low and middle-income countries. Method: This literature review was conducted in accordance with the Cochrane Collaboration guidance for literature reviews and reported following the PRISMA statement. We conducted searches of electronic bibliographic databases including Pubmed, Embase, MEDLINE, Cochrane Systematic Reviews and Cochrane CENTRAL. Results: Our searches of the listed electronic databases generated 7,845 records. 23 studies met the inclusion criteria. The total sample size of female participants was 213,199. The definition of screening definitions were relatively similar among studies. Screening rates varied between studies (from 4% to 43%). The Pap smear test was the most common screening modality, next was Visual Inspection Acetic Acid (VIA). The overall prevalence of cervical cancer screening was still remarkably low 21.85% (95%CI: 20.56 - 22.32, I2 = 40%, p <0.001). Conclusions: Despite global efforts to make screening approaches affordable and accessible, most women in low- and middle-income countries are not screened for cervical cancer.

Multi-view representation learning with dual-label collaborative guidance

Multi-view Representation Learning (MRL) has recently attracted widespread attention because it can integrate information from diverse data sources to achieve better performance. However, existing MRL methods still have two issues: (1) They typically perform various consistency objectives within the feature space, which might discard complementary information contained in each view. (2) Some methods only focus on handling inter-view relationships while ignoring inter-sample relationships that are also valuable for downstream tasks. To address these issues, we propose a novel Multi-view representation learning method with Dual-label Collaborative Guidance (MDCG). Specifically, we fully excavate and utilize valuable semantic and graph information hidden in multi-view data to collaboratively guide the learning process of MRL. By learning consistent semantic labels from distinct views, our method enhances intrinsic connections across views while preserving view-specific information, which contributes to learning the consistent and complementary unified representation. Moreover, we integrate similarity matrices of multiple views to construct graph labels that indicate inter-sample relationships. With the idea of self-supervised contrastive learning, graph structure information implied in graph labels is effectively captured by the unified representation, thus enhancing its discriminability. Extensive experiments on diverse real-world datasets demonstrate the effectiveness and superiority of MDCG compared with nine state-of-the-art methods. Our code will be available at https://github.com/Bin1Chen/MDCG.

Fostering Excellence in Madrasah through Collaborative Supervision: A Management Perspective

This research is motivated by the lack of collaborative guidance among some members of the madrasah and the supervisor, which hinders the improvement of the quality of a madrasah institution. Therefore, it is necessary to establish collaboration or synergy among the head of the madrasah, the madrasah committee, several teachers, and the supervisor in advancing the quality of the madrasah. This research employs a qualitative approach with a multi-site study design. Data collection techniques include in-depth interviews, participant observation, and documentation. Data analysis uses single-case analysis and cross-case analysis. Data validity techniques involve credibility, transferability, dependability, and confirmability.The research findings indicate that: (1) the collaboration between supervisors and heads of madrasahs in formulating plans (planning) to improve the quality of the institution includes: a) formulating and developing the vision, mission, and goals of the madrasah; b) preparing the Mid-Term Work Plan (RKJM), the Madrasah Work and Budget Plan (RKAM), and the Annual Work Plan (RKT); c) conducting workshops and training for teachers and institutional staff; d) developing madrasah management systems and information technology and PBM (Self-Learning Platform); and e) preparing KTSP/Merdeka curriculum; (2) the collaboration between supervisors and heads of madrasahs in implementing the process (actuating) to improve the quality of the institution involves: a) organizing guidance, workshops, and training for madrasah teachers; b) providing support and guidance for all programs within the institution; c) developing a madrasah curriculum tailored to the institution's situation and conditions; d) producing works/products or learning journals, and developing an excellent KTSP madrasah curriculum.

Analyzing the innovation ecosystem of China's major science and technology projects: From the ecological and systems science perspective

The National Major Science and Technology Projects in China are characterized by government leadership, interdisciplinary collaboration, and international cooperation. However, challenges such as insufficient innovation capacity and inadequate commercialization of scientific achievements are becoming increasingly prominent. This paper adopts the conceptual framework of natural ecology to examine these projects. By utilizing theories and methods from ecology and systems science, we draw an analogy between the innovation ecosystem of China's national major science and technology projects and the structure of ecological systems, analyzing the interrelationships among the components of the innovation ecosystem and establishing the four-level model. The findings indicate that collaboration and policy guidance among the enterprise, research, and auxiliary innovation layers promote scientific output and innovation, while the external environmental layer provides robust support and safeguards, collectively driving the development of the innovation ecosystem. We study the operational mechanisms of the innovation ecosystem in depth, identifying mechanisms of competitive symbiosis, coordination, and sharing. These mechanisms work together throughout the project management process, offering new insights for enhancing the scientific and effective management of these projects. The national innovation ecosystem and high-quality development mutually reinforce and complement each other. As a critical pathway to high-quality development, our study provides new approaches to addressing the challenges of insufficient innovation capacity and the difficulty in translating scientific achievements into practice, contributing to the optimization of resource allocation, and the deep integration of technological innovation with economic and social development.

The Role of Instructional Designers in the Integration of Generative Artificial Intelligence in Online and Blended Learning in Higher Education

The purpose of this exploratory research study was to examine the roles instructional designers (IDs) in higher education play in the integration of generative Artificial Intelligence (GenAI) into their organizations, and how they use GenAI technologies in their own professional practices. Data were collected from 15 participants in the southeastern United States (U.S.) in an ID role or with similar job titles (e.g., educational technologist). Using a general qualitative approach, semi-structured interviews were conducted in Zoom about IDs’ use and integration of GenAI. Our findings resulted in three primary themes related to IDs’ integration of GenAI in online and blended education: (a) use of GenAI for instructional design; (b) collaborative guidance for faculty integration of GenAI; (c) training, resources, and guidelines on the integration of GenAI. A common thread through all the themes and interviews was IDs’ conscientious and cautious approach and ethical concerns about GenAI integration. We unpack these themes while discussing the implications of IDs in higher education integrating GenAI to meet organizational, faculty, and student needs. We provide limitations and a rich discussion about the advancement of GenAI by IDs working in institutions of higher education.

Informing the development of antipsychotic-induced weight gain management guidance: patient experiences and preferences - qualitative descriptive study.

Antipsychotic-induced weight gain (AIWG) is a substantial contributor to high obesity rates in psychiatry. Limited management guidance exists to inform clinical practice, and individuals with experience of managing AIWG have had no or minimal input into its development. A lack of empirical research outlining patient values and preferences for management also exists. Recommendations addressing weight management in psychiatry may be distinctly susceptible to ideology and sociocultural values regarding intervention appropriateness and expectations of self-management, reinforcing the need for co-produced management guidance. This study is the first to ask: how do individuals conceptualise preferred AIWG management and how can this be realised in practice? 1. Explore the management experiences of individuals with unwanted AIWG. 2. Elicit their values and preferences regarding preferred management. Qualitative descriptive methodology informed study design. A total of 17 participants took part in semi-structured interviews. Data analysis was undertaken using reflexive thematic analysis. Participants reported that clinicians largely overestimated AIWG manageability using dietary and lifestyle changes. They also reported difficulties accessing alternative management interventions, including a change in antipsychotic and/or pharmacological adjuncts. Participants reported current management guidance is oversimplified, lacks the specificity and scope required, and endorses a 'one-size-fits-all' management approach to an extensively heterogenous side-effect. Participants expressed a preference for collaborative AIWG management and guidance that prioritises early intervention using the range of evidence-based management interventions, tailored according to AIWG risk, participant ability and participant preference. Integration of this research into guideline development will help ensure recommendations are relevant and applicable, and that individual preferences are represented.

Accuracy and effectiveness of an orchestration tool on instructors’ interventions and groups’ collaboration

This paper presents the development of a novel orchestration tool that predicts collaborative problem-solving (CPS) behaviors of undergraduate engineering groups and investigates the use of that tool by instructors. We explore the impact of receiving real-time, machine-learning, model-based prompts on 1) instructors’ orchestration strategies, which are strategies instructors use to manage and facilitate collaborative activities, and 2) groups’ participation, including how groups are engaged in CPS activities. The orchestration tool is a dashboard that notifies instructors of—and advises them on—monitoring and intervening with groups who may need collaborative support and guidance. We describe the accuracy of the models in predicting CPS behaviors and of instructors in identifying these behaviors in the classroom. We then describe how real-time prompts from models can affect instructors’ orchestration strategies and students’ participation. Our findings show that there is variability in the accuracy of our machine learning models and that instructors are better at identifying predictive behaviors as compared to the models. Instructors in this context engaged in orchestration strategies, like monitoring and probing when using the orchestration tool, and groups of students were largely talking while on-task across classes. We triangulate across data sources to examine the effectiveness of the orchestration tool in the classroom and share pedagogical and technical implications for the field.

A Quantum-Based Collaborative Guidance Strategy for Multirobot Plume Source Localization

A Quantum-Based Collaborative Guidance Strategy for Multirobot Plume Source Localization

From bench to policy: a critical analysis of models for evidence-informed policymaking in healthcare.

The use of research evidence in policy making is a complex and challenging process that has a long history in various fields, especially in healthcare. Different terms and concepts have been used to describe the relationship between research and policy, but they often lack clarity and consensus. To address this gap, several strategies and models have been proposed to facilitate evidence informed policy making and to identify the key factors and mechanisms involved. This study aims to critically review the existing models of evidence informed policy making (EIPM) in healthcare and to assess their strengths and limitations. A systematic search and review conducted to identify and critically assess EIPM models in healthcare. We searched PubMed, Web of Science and Scopus databases as major electronic databases and applied predefined inclusion criteria to select the models. We also checked the citations of the included models to find other scholars' perspectives. Each model was described and critiqued each model in detail and discussed their features and limitations. Nine models of EIPM in healthcare were identified. While models had some strengths in comprehension, flexibility and theoretical foundations, analysis also identified limitations including: presupposing rational policymaking; lacking alternatives for time-sensitive situations; not capturing policy complexity; neglecting unintended effects; limited context considerations; inadequate complexity concepts; limited collaboration guidance; and unspecified evidence adaptations. The reviewed models provide useful frameworks for EIPM but need further improvement to address their limitations. Concepts from sociology of knowledge, change theory and complexity science can enrich the models. Future EIPM models should better account for the complexity of research-policy relationships and provide tailored strategies based on the policy context.

Islamic Guidance: Synergy and Collaboration of Islamic Teacher and Guidance and Counseling Teacher in Shaping Students' Religious Character at SDN 09 Kota Bengkulu

In reality, what happens in the world of education is moral decline. The existing education seems more oriented towards the transfer of knowledge and neglects the cultivation of moral and ethical values. The purpose of this study was to determine the synergy and collaboration of Islamic teachers and guidance and counseling teachers in shaping students' religious character at SDN 09 Bengkulu City. This research is field research, this research method is not directed to explain the relationship nor does it predict or implicate what will happen when a variable is manipulated. This research was conducted at SDN 09 Bengkulu City in 2023. Data collection used observation, interviews and documentation. Data analysis used interactive analysis model of Miles & Huberman. The conclusion of the research shows the strategy and collaborative islamic teacher and guidance and counseling teacher in instilling religious character to students by acting as educators, learning resources, facilitators, models, advisors and motivators. The implications of this research can be used as consideration and reference material for Islamic teachers and guidance and counseling teachers, and further researchers both theoretically and practically

Multi-disciplinary collaborative consensus guidance statement on the assessment and treatment of mental health symptoms in patients with post-acute sequelae of SARS-CoV-2 infection (PASC).

Multi-disciplinary collaborative consensus guidance statement on the assessment and treatment of mental health symptoms in patients with post-acute sequelae of SARS-CoV-2 infection (PASC).

Social bonds, Internet usage time and bullying involvement: A study of rural secondary school students in China

AbstractSchool bullying is a prevalent problem affecting adolescents globally, which has been linked to the qualities of social bonds. In addition to the conventional environments such as families, peers and schools, the Internet is notably rising as a new living space for young students. Given that rural China has witnessed outstanding phenomena of bullying and Internet use among adolescents, the present study particularly examined how parental attachment, peer attachment, school connectedness and Internet usage time were associated with their experiences of being a bully, victim or bully victim, based on a sample of 2211 students from 25 rural secondary schools across three provinces of China. Results showed that those reporting bullying, victimization and both accounted for 30.0%, 64.6% and 26.2% of the whole sample, respectively. Multiple logistic regression analyses further revealed that maternal attachment, peer attachment and school connectedness were negatively associated with the odds of bullying involvement, whereas Internet usage time was positively associated with the odds of bullying involvement. The findings suggest the significance of building a comprehensive system for preventing school bullying in rural China, with a particular emphasis on strengthening family–school collaboration and effective guidance of Internet use.

FusionCPP: Cooperative fusion of infrared and visible light images based on PCNN and PID control systems

The imaging results of infrared and visible light sensors are highly complementary. Thus, combining the two images can compensate for the shortcomings of a single sensor. However, previous fusion methods have not fully utilized the collaborative guidance of infrared and visible images in the fusion process, leading to a poor correlation between extracted features and cannot guarantee feature fusion accuracy. In order to address these challenges, this paper proposes a collaborative fusion method for infrared and visible images based on pulse-coupled neural networks (PCNN) and proportional-integral-derivative (PID) control systems, called FusionCPP. First, a coupled neural network with a dual pulse structure is designed for the feature extraction section. Unlike traditional PCNN, this network includes two pulse generators, one of which is utilized to extract the salient features of the image, while the other is employed to extract the common pulse layer of the source image and multiply the pulse layer by the coupling iteration value to obtain the base layer. Second, a detail layer is obtained by subtracting the base layer from the source image. This method accurately extracts salient and detailed features based on the coupling between source images. Finally, a closed-loop PID control system is utilized as the fusion strategy in the image fusion task, which judges the difference between the fusion result and the source image in real-time through the feedback effect of the system. The controller adaptively adjusts the fusion weight based on the difference to fuse image features into the new image accurately. Experimental results indicate that the proposed FusionCPP can maintain significant contrast and rich textures. Besides, the proposed FusionCPP has extended to multi-focus image fusion and target detection tasks to verify its effectiveness.

Reducing noise-triplets via differentiable sampling for knowledge-enhanced recommendation with collaborative signal guidance

Knowledge Graph (KG) is widely used for recommendation tasks due to its rich semantic information and external structure. Current knowledge graph recommendation models are insufficient for the learning of user–item interactive behaviors as well as external knowledge, and ignore the noise information in KG. To alleviate these limitations, we present a Collaborative Relation-aware Attention Network with Differentiable sampling (DCRAN) that can fully learn user–item interactions and knowledge graphs, and accurately select recommendation-related entities in KG. Specifically, DCRAN explicitly learns the embeddings of users and items and encodes them into collaborative interaction signals, which are used as guidance signals to extract knowledge. Furthermore, DCRAN emphasizes the importance of KG relations and constructs a relation-aware attention network to learn the representation of items in KG. Most importantly, DCRAN applies a differentiable sampling strategy on entities, which can reduce triplets that have a negative effect on recommendation. Experimental results on three public datasets manifest the effectiveness of DCRAN.

Peningkatan kemampuan guru dalam menerapkan model pembelajaran kooperatif melalui strategi pembimbingan kolaborasi guru di SD Negeri 3 Putat

<p class="15"><em><span>The purpose of this research is to find out to describe the Teacher Collaborative Guidance Strategy to improve the teacher's ability to apply the cooperative learning model.</span></em><em><span> </span></em><em><span>The population is teachers from class I to grade 6 plus physical education teachers at SDN 3 Putat totaling 7 people. Data analysis techniques using descriptive analysis techniques.</span></em><em><span> </span></em><em><span>This research was carried out in two cycles each cycle including: planning, implementing, observing and reflecting. The results showed that from each cycle there was an increase. In the pre-cycle the teacher's ability to prepare lesson plans showed an average yield of 59.14% while in the implementation of learning 57.62%. In cycle I the results have changed in the preparation of learning plans 72.7% and 65% of learning implementation. In cycle II it increased to 81% in preparing lesson plans and 71% in implementing learning.</span></em><em><span> </span></em><em><span>The results of this study indicate that the teacher's performance at SDN 3 Putat, Purwodadi District, Grobogan Regency in 2021/2022 in semester II in the preparation and implementation of learning for each cycle has increased. In preparing lesson plans from pre-cycle to Cycle I it increased by 13.56% and from cycle I to cycle II rose 8.30%. In the learning process from pre-cycle to cycle I, it increased by 7.38% and from cycle I to cycle II, it increased by 6%.</span></em><em></em></p>

Evaluation of the Pulmonary Tuberculosis Control Program

Pulmonary Tuberculosis is still a priority health problem in Indonesia, and around 1.5 M people experience TB resistance where the treatment rate is only 38% in 2019 and the global TB treatment rate is only 57% successful, resistant TB costs a lot, is difficult treated so that it becomes a priority for global TB control programs. The high burden of disease and treatment for patients, poor recovery, mortality, and high mortality lead to distress for patients, families, and caregivers. This study aims to determine the success of the program, program achievements include detection rates, conversion rates, cure rates and cross checks, as well as management of human resources and facilities in implementation, as well as obstacles to pulmonary TB disease control programs in Pangkep Regency, the research method used is descriptive to obtain an overview of the P2TB Pulmonary Program in Pangkep Regency. Based on the results of the evaluation of the P2TB program at the community health centers, when viewed from the input aspect, the process is still not in accordance with the applicable requirements and guidelines, the detection of positive smear patients does not reach the target, the cure rate is low below the national target, the error rate is unknown because no cross check is carried out, so it is necessary to have officer training and refreshing courses for laboratory staff, carry out cross checks and cross-program collaboration and PMO guidance, and there is a need for screening activities in areas where there are many sufferers.

Collaboration between Guidance and Counseling Teachers and Indonesian Language Teachers to Improve Reading Motivation of Students through the CORI Program

One of the goals of guidance and counseling in elementary schools is to develop and improve students' academic abilities to achieve maximum learning abilities. Collaborative guidance to increase motivation to read is very rare in schools, especially in elementary schools where class teachers handle many subjects. Guidance services in elementary schools can be integrated into thematic learning activities. The research objective was to determine the effectiveness of collaborative guidance services between Guidance and Counseling teachers and Indonesian Language teachers to increase students' reading motivation. This research uses a quantitative approach with an experimental method with a quasi-experimental research design with the CORI (Concept-Oriented Reading Instruction) program. The results of the study showed that collaborative guidance between counseling teachers and Indonesian teachers was effective in increasing elementary school students' reading motivation. Research is suggested for elementary school guidance and counseling teachers to collaborate with subject teachers as an effort to optimize guidance and counseling services. Indonesian teachers can provide input for guidance and counseling services in the classroom. For future researchers, it can increase reading variety, reading exploration time and the application of collaborative guidance to increase reading motivation.

Multidisciplinary collaborative consensus guidance statement on the assessment and treatment of neurologic sequelae in patients with post‐acute sequelae of SARS‐CoV‐2 infection (PASC)

Multidisciplinary collaborative consensus guidance statement on the assessment and treatment of neurologic sequelae in patients with post‐acute sequelae of <scp>SARS‐CoV</scp>‐2 infection (<scp>PASC</scp>)