Collaborative Assistance Research Articles

Exploration of the Reform of Multi subject Co construction Data Structure Experiment Course under the Mixed Teaching Mode

In response to the high complexity of algorithm courses and the difficulty for students to understand, this paper focuses on the data structure experimental course and proposes a multi subject co construction data structure experimental course reform strategy under the blended teaching mode. The article first explores the problems in the content and methods of practical courses, and then proposes reform measures in teaching modes, teaching systems, and teaching methods. At the same time, on the basis of school enterprise cooperation, design differentiated experimental projects, teach students according to their aptitude, and strive for a student-centered teaching model, collaborative assistance to complete the role exchange between teaching and learning.

Spatial and temporal analysis of bottleneck flow for the elderly and the young pedestrians under multiple modes

The aging of the population is becoming a global concern. With the increasing number of the elderly, the growing traffic demands are facing greater challenges. The elderly with lower movement ability is more vulnerable to be injured in accidents. Collaborative assistant is an effective way to prevent accidents of falling down for the elderly. In this study, we carried out a series of controlled experiments involving the elderly and the young pedestrians under different modes, including the separate, mixed and synergistic modes. The traffic efficiencies of crowds under different movement modes are compared and their movement characteristics are analyzed. Through the spatial and temporal analysis, it can be found that the primary factor hindering the traffic efficiency of the elderly crowd is the longer time headway. The mean headway distance among homogeneous pedestrians is smaller than that among heterogeneous pedestrians with larger age differences. In addition, the fundamental diagrams under different movement modes are obtained and compared. The findings contribute to a better understanding of the movement for the young assisting the old in the crowded environment. The results have practical applications in the modeling and evacuation management for the public places where the elderly gathered, such as the aged care institutions.

AI‐CARING: National AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups

AbstractOver 13 million Americans aged 65 and older are currently living with a diagnosis of mild cognitive impairment (MCI), a common precursor to dementia. These individuals largely rely on a network of informal caregivers—family, friends, and community members—who work together with professional healthcare and social service providers to provide care and support in home settings. The AI‐CARING Institute contributes foundational AI research focused on developing personalized collaborative AI systems that improve the quality of life and independence of aging adults living at home.

Research on the Commercialization Model of Technological Projects with Multi-party Investment

Technology projects, serving as a vital carrier for innovation, act as a bridge for the amalgamation and intercommunication of technology, talent, and innovative elements, and are pivotal for achieving "high-level self-reliance and strengthening in technology." To address the loss of corporate intellectual property and discursive power in the marketization and commercialization of technology projects due to inadequate theoretical support and an unsound protection mechanism, State Grid Hunan Company has initiated research on the commercialization model of technology projects against the backdrop of multi-party investment. By exploring the multi-party investment and cooperative operation model of technology projects based on the "Innovation and Efficiency Community" within power grid enterprises, the study aims to establish a cooperative mechanism for technology projects that involves multi-party participation, collaborative assistance, risk-sharing, and benefit-sharing. This not only strengthens self-protection during the commercialization process but also propels the cooperative technology projects towards a path of greater openness and sharing.

Research status of elderly-care robots and safe human-robot interaction methods

Faced with the increasingly severe global aging population with fewer children, the research, development, and application of elderly-care robots are expected to provide some technical means to solve the problems of elderly care, disability and semi-disability nursing, and rehabilitation. Elderly-care robots involve biomechanics, computer science, automatic control, ethics, and other fields of knowledge, which is one of the most challenging and most concerned research fields of robotics. Unlike other robots, elderly-care robots work for the frail elderly. There is information exchange and energy exchange between people and robots, and the safe human-robot interaction methods are the research core and key technology. The states of the art of elderly-care robots and their various nursing modes and safe interaction methods are introduced and discussed in this paper. To conclude, considering the disparity between current elderly care robots and their anticipated objectives, we offer a comprehensive overview of the critical technologies and research trends that impact and enhance the feasibility and acceptance of elderly care robots. These areas encompass the collaborative assistance of diverse assistive robots, the establishment of a novel smart home care model for elderly individuals using sensor networks, the optimization of robot design for improved flexibility, and the enhancement of robot acceptability.

Modeling needs user modeling.

Modeling has actively tried to take the human out of the loop, originally for objectivity and recently also for automation. We argue that an unnecessary side effect has been that modeling workflows and machine learning pipelines have become restricted to only well-specified problems. Putting the humans back into the models would enable modeling a broader set of problems, through iterative modeling processes in which AI can offer collaborative assistance. However, this requires advances in how we scope our modeling problems, and in the user models. In this perspective article, we characterize the required user models and the challenges ahead for realizing this vision, which would enable new interactive modeling workflows, and human-centric or human-compatible machine learning pipelines.

Jewish Mysticism in the Writings of Isaac Beshevis Singer

Isaac Bashev is Singer cherished the short story because, in his opinion, it provided a considerably greater opportunity for perfection than the novel did. His stories, however, rarely exhibit the meticu-lous craftsmanship of a conscious craftsman; instead, they flow effortlessly, often mindlessly, without any sense of manipulation. Indeed, Singer’s work derives from a rich oral storytelling tradition that has been thriving for generations throughout Eastern Europe. As the de facto historian of the Jewish experience in the twentieth century, Singer opts to ignore the Holocaust and the six million European Jews who were killed by Adolf Hitler’s Third Reich. Since he doesn’t think a simple storyteller could ever convey a tale this awful and unintelligible, he instead evokes it by describing the civilization it wiped out in detail and the scattered melancholy it left behind. Singer’s protagonists, like the Jewish people as a whole, face unfathomable atrocities and fight with their identity in a changing world. They must decide whether to give up or endure. The person in their family, neighborhood, and world is eventually the person in their universe, frequently by themselves with the supernatural forces that rule it. Singer uses a variety of Jewish mysticism and demonology to embellish and draw from to personify these forces and their impact on the human condition. In this research paper, I tried to anlyze the element of this Jewish mysticism in some of his popular works. Isaac Bashevis Singer was a Polish-born American Jewish author who first authored and published in Yiddish before translating himself into English with the assistance of editors and collaborators.

Anion-induced morphology control of Al-fumarate MOFs via synergetic coordination and hydrogen bond effects for graded dehumidification

Metal organic framework (MOF) dehumidifier presents vast application value to alleviate the humidity stress to improve the comfort of humans. Aluminum-fumarate based MOFs (AF-MOFs) are expected as an important class in this field since their flexibility allows the water adsorption properties to be tunable from the molecular level of the inorganic node and/or organic linkers. Here, AF-MOFs samples were prepared using aluminum salts containing different anions (SO42−, Cl−, NO3−) to reveal how the anion components affect their morphology and thereby disclose the relationship between their structures and activities of water absorption. Systematic characterizations demonstrated that the anions achieved fine morphology control of AF-MOF samples without changing their basic framework, wherein the coordination effect between aluminum atoms in MOF units and atoms in anions (such as oxygen and nitrogen) induced this process. What's more, the water adsorption experiments revealed that by means of the collaborative assistance of specific surface area, hydrogen bond interaction and/or coordination effects, the SO42−, Cl− and NO3− induced AF-MOFs reveal optimal water absorption performance at low, medium and high relative pressure, respectively. With no complex steps, extra morphology modulators and harsh temperature/pressure, this study provides an environmentally friendly new sight for regulating the morphology of AF-MOFs to optimize their dehumidification abilities.

INCREASING TEACHERS' ABILITY USING ZOOM MEETING APPLICATIONS IN THE DISTANCE LEARNING PROCESS THROUGH COLLABORATIVE ASSISTANCE IN SD NEGERI BENDO KAPANEWON SAMIGALUH KULON PROGO ACADEMIC YEAR 2020/2021

This research was motivated by the regulation of the Ministry of Education and culture regarding the implementation of education during the Covid-19 pandemic which required distance learning using online learning media. Online learning is a learning method that aims to improve the ability of teachers to use the Zoom Meeting application program at SD Negeri Bendo Kapanewon, Samigaluh Kulon Progo during the Covid-19 pandemic. This research is a school action research to improve the ability of school principals in managing learning leadership through collaborative mentoring. The subjects in this study were SD Negeri Bendo teachers, totaling 8 teachers consisting of 6 classroom teachers and 2 subject teachers. The purpose of this study was to improve the ability of teachers in implementing distance learning by using the Zoom Meeting application for Bendo Elementary School teachers through collaborative mentoring activities. The results of preliminary observations show that the ability of teachers at SD Bendo Kapenewon, Samigaluh, Kulon Progo, using the Zoom Meeting application is still in the "Not Good" category with a percentage reaching 87.50%. The ability of teachers in the first cycle of research results obtained by research data based on the average number based on the presentation of the first cycle, the highest score was 83.72%, the conversion value reached 3, the "Good" category, while in the second cycle the average number based on the highest score percentage was 92, 43%, conversion value reached 4, the category “Very Good”. Through collaborative assistance, the principal can improve the ability of the principal in delivering the Zoom meeting application program. Collaborative mentoring cycle I observations based on the assessment of participants the average number of classes based on the presentation of the highest score of 89.58%, when converted into a score it reached 4, with the "Very Good" category, while in the second cycle the average number was obtained based on the percentage the highest score is 92.71% when converted into a value of 4, the category "Very Good", the results of the study show that there is an increase of 3.13% in the implementation of collaborative mentoring can improve the competence of the principal in delivering the Zoom meeting application program

Lokakarya Penguatan Kolaborasi Antar Lembaga Pelayanan Pendampingan Untuk UMKM di Indonesia

The Community Service activity entitled Workshop on Strengthening Collaborative Assistance for MSMEs (Micro, Small and Medium Enterprises) aims to (1) introduce business assistance providers as potential partners in MSME development efforts, (2) identify and explore the advantages and challenges of building partnerships with business mentoring providers, and (3) discuss efforts or the government's collaboration scheme with business assistance provider institutions. The method of community service is through lectures from several competent speakers, followed by interactive discussions using the Zoom application. This event was attended by 250 participants consisting of stakeholders involved in the integrated management of MSMEs and economic empowerment, including Regional Governments, Business Assistance/Incubation Institutions, and Development Partners. The expected result from implementing this community service is an increase in the capacity and condition of MSMEs in efforts to close the knowledge gap through assistance and business services, including through the business incubation program

Population-based implementation of behavioral health detection and treatment into primary care: early data from New York state

BackgroundThe Collaborative Care Model is a well-established, evidence-based approach to treating depression and other common behavioral health conditions in primary care settings. Despite a robust evidence base, real world implementation of Collaborative Care has been limited and very slow. The goal of this analysis is to better describe and understand the progression of implementation in the largest state-led Collaborative Care program in the nation—the New York State Collaborative Care Medicaid Program.Data are presented using the RE-AIM model, examining the proportion of clinics in each of the model’s five steps from 2014 to 2019.MethodsWe used the RE-AIM model to shape our data presentation, focusing on the proportion of clinics moving into each of the five steps of this model over the years of implementation. Data sources included: a New York State Office of Mental Health clinic tracking database, billing applications, quarterly reports, and Medicaid claims.ResultsA total of 84% of clinics with which OMH had an initial contact [n = 611clinics (377 FQHCs and 234 non-FQHCs)] received some form of training and technical assistance. Of those, 51% went on to complete a billing application, 41% reported quarterly data at least once, and 20% were able to successfully bill Medicaid. Of clinics that reported data prior to the first quarter of 2019, 79% (n = 130) maintained Collaborative Care for 1 year or more. The receipt of any training and technical assistance was significantly associated with our implementation indices: (completed billing application, data reporting, billing Medicaid, and maintaining Collaborative Care). The average percent of patient improvement for depression and anxiety across 155 clinics that had at least one quarter of data was 44.81%. Training and technical assistance source (Office of Mental Health, another source, or both) and intensity (high/low) were significantly related to implementation indices and were observed in FQHC versus non-FQHC samples.ConclusionsOffering Collaborative Care training and technical assistance, particularly high intensity training and technical assistance, increases the likelihood of implementation. Other state-wide organizations might consider the provision of training and technical assistance when assisting clinics to implement Collaborative Care.

Artificial intelligence in the creative industries: a review

This paper reviews the current state of the art in artificial intelligence (AI) technologies and applications in the context of the creative industries. A brief background of AI, and specifically machine learning (ML) algorithms, is provided including convolutional neural networks (CNNs), generative adversarial networks (GANs), recurrent neural networks (RNNs) and deep Reinforcement Learning (DRL). We categorize creative applications into five groups, related to how AI technologies are used: (i) content creation, (ii) information analysis, (iii) content enhancement and post production workflows, (iv) information extraction and enhancement, and (v) data compression. We critically examine the successes and limitations of this rapidly advancing technology in each of these areas. We further differentiate between the use of AI as a creative tool and its potential as a creator in its own right. We foresee that, in the near future, ML-based AI will be adopted widely as a tool or collaborative assistant for creativity. In contrast, we observe that the successes of ML in domains with fewer constraints, where AI is the ‘creator’, remain modest. The potential of AI (or its developers) to win awards for its original creations in competition with human creatives is also limited, based on contemporary technologies. We therefore conclude that, in the context of creative industries, maximum benefit from AI will be derived where its focus is human-centric—where it is designed to augment, rather than replace, human creativity.

Multi-UAVs cooperative task assignment and path planning scheme

The task assignment and path planning problems of multiple unmanned aerial vehicles (multi-UAVs) cooperative assistance roadside units (RSUs) for data collection are optimization problems with the goal of minimizing time and energy consumption. This paper proposes a hierarchical optimization scheme for multi-UAVs collaborative assistance RSUs data collection. This solution solves the problems that the number of UAVs needs to be set in advance, the convergence speed is slow when the number of tasks increases, and it is easy to fall into a local optimal solution, and the convergence accuracy is poor. First, the solution uses the K-means algorithm to allocate tasks and group RSUs to find the right number of UAVs to perform the task. Then, this paper proposes a hybrid optimization algorithm based on bionic learning for path planning. Finally, we set up a reasonable evaluation mechanism and conducted simulation experiments. The algorithm in this paper is compared with genetic algorithm, gray wolf algorithm and whale algorithm, the results show that the total cost of the task obtained by the proposed algorithm is the lowest, the algorithm stability is better, and the convergence accuracy is the highest.

Supporting A Developmental Approach for Shared Data Infrastructure

BackgroundPublic agencies hold important, yet largely unused, administrative data on the families and communities they serve. Integrated Data Systems (IDS) provide the governance process, legal framework, technology, and human capacity to connect these families and communities across data siloes. By securely linking administrative data across siloes, IDS are able to support data-informed decision making.
 IntroductionFor 10+ years, AISP has helped jurisdictions through the developmental process of building IDS. We operate a network of 22 U.S. states and counties with fully-functioning Integrated Data Systems, and provide technical assistance to 18 jurisdictions at various stages of IDS development.
 Objectives and ApproachThis session presents the outcomes of an independent evaluation of our Learning Community initiative (2019) and presents a new developmental framework that outlines key dimensions of quality and readiness for IDS building and implementation.
 ResultsAs of 2020, 20 sites have received formal 18-month cohort based technical assistance. This presentation will discuss site-based approaches to facilitate data sharing, including common challenges and solutions, and progress to date, including findings of an independent evaluation (2019). We will also present a framework developed based on the deep knowledge developed through technical assistance efforts, and findings from a national survey of data integration efforts conducted in 2020.
 The framework uses purpose, partnership structure, technical architecture, and organizational model—with respect to the strengths and challenges of each—to categorize and synthesize data integration efforts for social policy and program improvement. The developmental approach to our work emphasizes that we seek to understand methods for sustainability in diverse ways.
 Conclusion / ImplicationsWhile there is broad agreement in the value of integrating data across domains, developing the capacity and skills necessary to link administrative data for policy evaluation and research remains an elusive goal. Initial results indicate that an individualized yet collaborative technical assistance approach is successful in developing data integration capacity.

Measuring Smiling Curves in Community Enterprises: Evidence from the One Tambon One Product Entrepreneurship Programme in Border Thailand

Stan Shih’s smiling curve concept has been applied for use in describing manufacturing industries of various sizes around the world; yet, no studies, so far, have ever been undertaken using small enterprises, like community enterprises. The objective of this article is to explain the use of the smiling curve concept in community enterprises in Thailand as a case study. From a survey of 101 community enterprises under the One Tambon One Product (OTOP) entrepreneurship programme in a border province of Thailand, it was found that the smiling curve concept can also be applied in the case of community businesses. Emphasizing the importance of upstream activities, like applying concepts of creativity and research and development in production as well as focusing on downstream activities such as marketing, sales promotion and branding strategies are found to enhance business performance (profit) of those community enterprises. Therefore, the relevant government agencies or business sectors should step in to provide support and collaborative assistance by focusing on both activities (upstream activities and downstream activities) to add value to community products and make community businesses more competitive in both national and international markets.

Challenges and Opportunities in China\u2019s Health Aid to Africa: Findings from Qualitative Interviews in Tanzania and Malawi

BackgroundChina has played an increasing role in development aid across Africa. Most recently, China has increased its external investments through the Belt and Road Initiative, China’s signature infrastructure and trade drive to link China to Asia and Africa. This is likely to result in continuing growth of China’s investment in health in sub Saharan Africa. While conflicting opinions have been raised regarding the motivation and value of these investments, few data have been solicited from those directly involved in China-Africa health aid. We conducted a qualitative study to collect information on perceptions and opinions regarding Chinese-supported health related activities in Africa through in-depth interviews among local African and Chinese participants in Malawi and Tanzania.ResultsOur findings reveal shared experiences and views related to challenges in communication; cultural perspectives and historical context; divergence between political and business agendas; organization of aid implementation; management and leadership; and sustainability. Participants were broadly supportive and highly valued Chinese health aid. However, they also shared common insights that relate to challenging coordination between China and recipient countries; impediments to communication between health teams; and limited understanding of priorities and expectations. Further, they share perspectives about the need for shaping the assistance based on needs assessments as well as the importance of rigorous reporting, and monitoring and evaluation systems.SummaryOur findings suggest that China faces similar challenges to those experienced by other longstanding development aid and global health donors. As it continues to expand cooperation across Africa and other regions, it will be important for China to consider the issues identified through our study to help inform collaborative and effective global health assistance programs. The insights garnered from this research are not only relevant to China’s engagement in Africa but for other global health assistance donors as well.

The Emergence of Clinical Research Ethics Consultation: Insights From a National Collaborative

The increasing complexity of human subjects research and its oversight has prompted researchers, as well as institutional review boards (IRBs), to have a forum in which to discuss challenging or novel ethical issues not fully addressed by regulations. Research ethics consultation (REC) services provide such a forum. In this article, we rely on the experiences of a national Research Ethics Consultation Collaborative that collected more than 350 research ethics consultations in a repository and published 18 challenging cases with accompanying ethical commentaries to highlight four contexts in which REC can be a valuable resource. REC assists: 1) investigators before and after the regulatory review; 2) investigators, IRBs, and other research administrators facing challenging and novel ethical issues; 3) IRBs and investigators with the increasing challenges of informed consent and risk/benefit analysis; and 4) in providing flexible and collaborative assistance to overcome study hurdles, mediate conflicts within a team, or directly engage with research participants. Institutions that have established, or plan to establish, REC services should work to raise the visibility of their service and engage in open communication with existing clinical ethics consult services as well as the IRB. While the IRB system remains the foundation for the ethical review of research, REC can be a valuable service for investigators, regulators, and research participants aligned with the goal of supporting ethical research.

Constructing culturally responsive professional development for inclusion in El Salvador using the lens of intercultural competence

ABSTRACTThis paper describes a collaborative technical assistance project, which was co-constructed by the Ministry of Education (MINED) of El Salvador and the author, to support the advancement of inclusive education through culturally responsive professional development. This research-based project is presented as a model of culturally responsive professional development using the lens of intercultural competence. The author describes each phase of the project through the lens of intercultural competence that includes: (a) initial planning, (b) content proposals, (c) content development, and (d) content delivery. Implications and future research questions for those engaging in culturally responsive professional development-based technical assistance work are provided.

Рекомендации международного общества по менопаузе в отношении здоровья женщин зрелого возраста и менопаузальной гормональной терапии, 2016

The International Menopause Society (IMS) has produced these new 2016 recommendations on women’s midlife health and menopause hormone therapy to help guide health-care professionals in optimizing their management of women in the menopause transition and beyond. The term menopause hormone therapy has been used to cover therapies including estrogens, progestogens and combined regimens. Menopausal hormone therapy today is the most effective treatment for vasomotor symptoms and urogenital atrophy.For the first time, the 2016 International Menopause Society recommendations now include grades of recommendations, levels of evidence and ‘good practice points’, in addition to section-specific references. Where possible, the recommendations are based on and linked to the evidence that supports them, unless good-quality evidence is absent. Particular attention has been paid to published evidence from 2013 onwards, the last time the International Menopause Society recommendations were updated. Databases have been extensively searched for relevant publications using key terms specific to each specialist area within menopause physiology and medicine. Information has also been drawn from international consensus statements published by bodies such as the International Menopause Society, the European Menopause and Andropause Society and the North American Menopause Society.The recommendations have been produced by experts derived mainly from the International Menopause Society, with the assistance of key collaborators where deemed advantageous. In preparing these international recommendations, experts have taken into account geographical variations in medical care, prevalence of diseases, and country-specific attitudes of the public, medical community and health authorities towards menopause management. The variation in availability and licensing of menopause hormone therapy and other products has also been considered.

Collaborative Care for Youth: Statewide Success Stories

Collaborative Care for Youth: Statewide Success Stories