Complementary Activities Research Articles

Check, Please! Supervisor-Learner Dyads Using "Checking" for Clinical Support During Indirect Supervision.

Indirect supervision is essential for granting autonomy to learners. Sometimes referred to as leaving the learner "unsupervised," there is growing recognition that learners and supervisors engage in clinical support through ongoing interactions, albeit at a distance. To understand how the complementary activities of asking for and providing clinical support at a distance come together as indirect supervision by identifying the natural language used between learners and supervisors. A collective case study of 15 attending physician-senior medical resident dyads from 2018 to 2023. Each case consisted of 2 full days of ethnographic observation of the resident on an internal medicine clinical teaching unit in one of three metropolitan hospitals; 2 end of day interviews with each dyad member; and a third interview with the attending after the 2-week rotation. Fifteen internal medicine residents (PGY-2 and PGY-3) who were scheduled to work for the first time with 15 attending physicians. Data collection was iterative with deductive and inductive analysis to identify patterns of communication. The language of "checking," such as checkpoints, checking on, and checking in, was central to communications within dyads. Indirect supervision included attendings using scheduled checkpoints and backstage oversight activities to check on the senior resident's patient care while expecting residents to access their support, as needed, by checking-in with them. Residents checked in with their attending to relay patient information updates, ask questions, and hint at needing their plans doublechecked; these communications had similar formats making them difficult to distinguish but functioned to preserve resident independence while accessing clinical support. Indirect supervision creates clinical support through ongoing communication between learners and supervisors at a distance. It is a collaborative process for mutual reassurance that safe patient care is being provided and that support is available when needed.

Implementação de recursos tecnológicos no processo de ensino-aprendizagem em Biologia Molecular

Given the inherent difficulties in the teaching-learning process of molecular biology, active methodologies have been developed to ensure greater effectiveness. Prior research has indicated that these tools can enhance student performance across diverse areas, empowering students as protagonists in their learning processes. In this regard, to improve students' performance in the subject ZMV1482: Molecular Biology, the implementation of an alternative supplementary activity based on technological resources was proposed. The activity consisted of creating concise videos on digital platforms, covering the matter discussed in the preceding class and its application. Each week, three to four students undertook these presentations, followed by a discussion of the topic. The results obtained from the proposal were notably significant, with an average score for the complementary activity stood at 7.9 ± 2.80, which influenced the final course grade, which averaged at 7.1 ± 1.45. Furthermore, upon completing the course curriculum, an electronic survey was administered to 56.5% of the enrolled students. The results demonstrated that students were able to learn significantly with the proposed methodology and suggest that this approach exhibited superior efficacy compared to conventional forms of complementary activities, such as seminars. These findings support the notion that active and innovative methodologies should be encouraged in the field of molecular biology to enhance the understanding of the concepts covered throughout the course.

Targeted K-Edge Nanoprobes From Praseodymium and Hafnium for Ratiometric Tracking of Dual Biomarkers using Spectral Photon Counting CT.

Utilizing metal nanoprobes with unique K-edge identities to visualize complementary biological activities simultaneously can provide valuable information about complex biological processes. This study describes the design and preparation of an innovative pair of K-edge metal nanoprobes and demonstrates the feasibility of their simultaneous quantitative detection using spectral photon-counting computed tomography (SPCCT). Glycosaminoglycan (GAG) capped nanoparticles (ca. 15-20nm) targeting two distinct components of the cartilage tissue, namely, aggrecan (acan) and aggrecanase (acanase) are designed and synthesized. These targeted nanoparticles comprised of praseodymium (Pr) and hafnium (Hf), with well-separated K-edge energies, enable simultaneous and ratiometric imaging of dual biomarkers in cartilage tissue. Following extensive physico-chemical characterization of the ligand-targeted particles, the feasibility of homing dual biomarkers in vitro is demonstrated. The material discrimination and simultaneous quantification of these targeted particles are also achieved and corroborated with inductively coupled plasmon spectroscopy. For the first time, the use of praseodymium is reported as a contrast agent for SPCCT imaging and demonstrates the ability to pair it with hafnium nanoprobes for multicontrast imaging of diseases. Importantly, the potential for ratiometric molecular imaging and tracking of osteoarthritis (OA) progression is shown with SPCCT K-edge based imaging approach.

Investment in intangible assets and economic complexity

We study the nexus between a country's economic complexity and its investment level in intangible assets. Our data spans 27 countries, all sector classifications and 8 intangible categories, which allows us to consider over 188 indicators per country. Our approach offers a complementary more policy-oriented perspective, for economic complexity, compared to relatedness. Results underscore the significance of high knowledge intensity intangibles, such as research and development, in explaining economic complexity. Policy recommendations advocate for prioritizing R&D in manufacturing, alongside fostering complementary activities like employee training, design, and branding in the same sector. In the first part of our results, we introduce an intangible-complexity score for policymakers, enabling the assessment of a country's relative performance in ensuring complexity through investments in various forms of intangible capital, on a country basis. Our second set of estimates, which control for a vast set of potential confounders (almost 800), offer a precise measure of the average impact of intangible investments on complexity, and allow us to argue for the empirical superiority of recent advances in causal machine learning when modeling complexity.

Olive Oil as a Tourist Attraction: An Analysis of Demand

Olive oil is not only an essential culinary element in the diet of Mediterranean countries, but it is also becoming an increasingly attractive element from a tourism perspective. The olive grove landscape, ancient olive trees, and oil mills are increasingly attracting tourists eager to experience this type of tourism. This research analyzes the profile of the oleotourist in the four designations of the province of Córdoba (Spain). SARIMA models have been applied to predict oleotourism demand, resulting in a growing demand, which will create jobs in the towns dedicated to this cultivation. The main problem is the seasonality of this demand, which can be corrected by creating complementary activities such as olive oil festivals, cooking workshops, or tasting sessions. A logit model has also been developed to determine which variables influence the probability of being satisfied with the oleotourism experience, with environmental conservation and travel cost being the most influential. Regarding the bivariate analysis, motivation and satisfaction with the trip are closely related, as is the personal classification of the oleotourist; the more they know about the world of olive cultivation, the more satisfied they are with their experience.

Sherlock Holmes and the Neurophysiologists: Unraveling the "Mystery" of Active Learning Success.

The Sherlock Holmes (SH) Project is a collaborative problem-solving activity in the form of a murder mystery that is a great resource for upper-level undergraduate courses in neurophysiology that emphasize synaptic transmission and neuromuscular communication. This project, originally described by Adler and Schwartz (2006), has become a central focus of the Neurophysiology course at Allegheny College, along with many complementary activities that work to reinforce the neuroscience material and skills such as creative experimental design and analysis. Active Learning research in advanced levels of undergraduate courses is rare in the pedagogy literature, and this paper adds to that body of research. Formal assessment of the course generally and the SH Project specifically support the hypothesis that the active learning pedagogical strategies employed foster a positive and successful learning environment.

MỐI TƯƠNG TÁC TƯƠNG HỖ GIỮA HOẠT ĐỘNG NGHIÊN CỨU VÀ PHÁT TRIỂN CỦA GIẢNG VIÊN VỚI THỰC TIỄN GIẢNG DẠY HIỆU QUẢ TRONG GIÁO DỤC ĐẠI HỌC

This study investigates the interplay between faculty involvement in research and development (R&D) and effective teaching methods in higher education. It explores how faculty actively engaged in R&D can improve student learning. This positive impact is realized through various channels. First, it influences teaching by creating new knowledge and fostering a classroom environment that encourages exploration. Second, R&D enables the development of innovative teaching methods that address specific student needs and challenges. These methods can target areas like student motivation, how students approach academic tasks, and their sense of belonging within the institution. The paper acknowledges the challenges faculty face in balancing research and teaching. To address this, it proposes recommendations for a more integrated approach to faculty development, where research and teaching are seen as complementary activities that strengthen each other. This may involve providing the necessary resources and fostering a supportive work environment to facilitate faculty R&D efforts. Ultimately, by creating a culture that values both research and teaching, higher education institutions can empower faculty to become more effective educators and contribute to a richer learning experience for students. Keywords: Research and Development; teaching practices; student learning outcomes; higher education

Designing for collective action: a knowledge co-production process to address water governance challenges on the island of Öland, Sweden

Enabling diverse actors to address interlinked sustainability issues is important and challenging. This paper focuses on how to design a dialogue-based knowledge co-production process to nurture collective action. Using the conceptualization of systems, target, and operational knowledge as the guiding framework, we designed and combined different complementary activities to invite actors to look at a wicked problem through multiple lenses and reflect on their own positions, perspectives, knowledge, and values. With a carefully documented workshop series held with local actors on Öland, Sweden, as our empirical case study, we demonstrate how we moved from exploring the multifunctionality of landscapes and understanding actors’ different values, preferences, and priorities, to developing four strategies for effectively accelerating and expanding efforts to adapt to climate change. Our study reveals how the process of mobilizing, articulating, and connecting individually held systems, target, and operational knowledge nurtures collective action. It also leverages dialogue-based processes as cornerstones in addressing sustainability challenges in an inclusive and equitable way.

The amplified effect of market size on innovation: A comparative analysis of pea and wheat seed value chains in France

CONTEXTDespite their interest for agro-ecological transition, grain legumes remain poorly cultivated in France. One reason is the low availability of seed innovations for farmers which, to a large extend, is related to the low incentives to innovate for these crops which represent a small acreage. OBJECTIVEIn this article, we analyze the link between market size and the efforts made to create, diffuse and value innovation. We compare two value chains related to two field crops in France that mainly differ in terms of market size, namely, pea and wheat. Our analysis focuses more specifically on the seed-related innovations created in the upstream part of these value chains. In both of these cases, innovation relies on multiple complementary activities carried out by different actors, including the creation of the innovation, the production and diffusion of technical knowledge, the production and distribution of the innovation, and its valorization by downstream users. METHODSThe two case studies on the pea and wheat sectors were conducted using a qualitative approach based on public documentation, 16 semistructured interviews with various actors in the innovation system of the two value chains and data on commercialized pea and wheat varieties. RESULTS AND CONCLUSIONWe show that the level of investment in each of these activities is highly related to market size. This result is first explained by the fact that part (if not all) of the cost of these activities is fixed; that is, these activity costs do not depend on the diffusion of innovation. This result is also explained by the complementarity of these activities, which makes the investment in one activity less beneficial if the investment in complementary activities is low. As a consequence, the effect of market size on innovation is self-reinforcing in those cases where innovation relies on different activities managed by different actors. SIGNIFICANCEIn agricultural sectors, where there is a need for innovations in both large and small markets, this result calls for an evolution of innovation funding mechanisms to attenuate the impact of market size.

РОБОТА З КРИВДНИКАМИ В МЕЖАХ НАГЛЯДОВОЇ ПРОБАЦІЇ

The author of the article analyzes the powers of probation authorities to work with offenders within the framework of supervised probation, and considers the available tools for influencing the behavior of such persons and their correlation with other forms of social and educational influence. The article emphasizes that the activities of probation authorities are not only about ensuring control over the behavior of such persons and implementing probation programs when they are appointed by a court sentence, but also about forming the necessary cooperation and creating conditions which allow for effective influence on criminogenic factors to overcome or reduce them. To this end, supervised probation should include the study of individual and group characteristics of offenders, and the capabilities of other agencies and institutions involved in overcoming the problem of domestic violence. Supervised probation is a way of state influence on the process of punishing offenders, determining the need to extend the measure of criminal coercion, as well as a way to determine the effectiveness of the criminal liability measure and provides for the existence of a system of measures for regular or random monitoring of the behavior of convicts. The Recommendation Rec(2010)1 of the Committee of Ministers to Member States on the Council of Europe Probation Rules states that probation, based on actions and measures of educational influence, is designed to ensure the enforcement of statutory sentences through supervision in order to involve convicts in public life and ensure the safety of society. At the same time, supervision should be viewed not only as a control function, but also as a means of counseling, assisting or motivating prisoners. The same document emphasizes that the probation service should work in cooperation with other public or private organizations and local governments to facilitate the reintegration of prisoners into society. Coordinated and complementary activities of different agencies based on the application of different branches of science are necessary to solve the sometimes complex problems of convicts and ensure the safety of society. The probation service should interact with other bodies and institutions of the justice system, with agencies that support its activities, and with the public to effectively perform its duties and functions. 38. The probation service should encourage the agencies supporting its activities so that they take responsibility for solving the problems of convicts as members of society. The article reveals the role of supervised probation in national realities and highlights its problematic aspects in the context of working with offenders. Key words: convicts, probation, supervised probation, subject of supervised probation, criminal law measures not related to the isolation of offenders, interaction of probation authorities, organizational and legal mechanism of probation interaction.

Intra-chloroplast proteases: A holistic network view of chloroplast proteolysis.

Different proteases and peptidases are present within chloroplasts and nonphotosynthetic plastids to process precursor proteins and to degrade cleaved chloroplast transit peptides and damaged, misfolded, or otherwise unwanted proteins. Collectively, these proteases and peptidases form a proteolysis network, with complementary activities and hierarchies, and build-in redundancies. Furthermore, this network is distributed across the different intra-chloroplast compartments (lumen, thylakoid, stroma, envelope). The challenge is to determine the contributions of each peptidase (system) to this network in chloroplasts and nonphotosynthetic plastids. This will require an understanding of substrate recognition mechanisms, degrons, substrate, and product size limitations, as well as the capacity and degradation kinetics of each protease. Multiple extra-plastidial degradation pathways complement these intra-chloroplast proteases. This review summarizes our current understanding of these intra-chloroplast proteases in Arabidopsis and crop plants with an emphasis on considerations for building a qualitative and quantitative network view.

Trade-off or complement? An exploratory study on students’ game behavior and learning behavior in a math spatial educational game

ABSTRACT The combination of playing and learning is a pivotal feature but also a key challenge in educational games. To investigate whether playing and learning are trade-off or complementary activities, this study explores students’ distinction and transition between game behavior and learning behavior in a math spatial educational game for cube nets learning. A total of 402 fourth graders used the educational game over a 3-week period, with one lesson per week. Behavior log data, questionnaire data, and interview data were collected. The results show that the students could distinguish between game behavior and learning behavior mainly based on the related content of the behavior and their perceptions of the behavior characteristics. Two kinds of transition between game behavior and learning behavior were identified, namely the explicit large-scale cross transition and the implicit small-scale tight transition, which suggest a complementary relationship between playing and learning in educational games. Furthermore, compared with the students with lower learning outcomes, the students with higher learning outcomes were more likely to induce behavior patterns involving virtuous circles between playing and learning. The findings of this study have implications for effective educational game design going forward, in which playing and learning are appropriately combined.

Conceptualization and Potential of Agritourism in Extremadura (Spain) from the Perspective of Tourism Demand

The current literature considers agritourism as a valid option for promoting the development of rural areas. This would be achieved by increasing agricultural incomes. However, numerous scientific studies have revealed the difficulty in reaching a consensus on the very concept of agritourism. In addition, the definition of agritourism is rarely related to the opinion of the demand. For this reason, this research aimed to understand the idea that tourists have about this variety. To this end, more than 500 surveys were carried out, from which the tourists’ conception of agritourism and the activities it entails were deduced. Other questions were also analyzed to determine whether the conception varies between those who have already performed this type of activity and those who have not yet had the opportunity to do so. From this, we can deduct the interest that visitors have in agritourism products, evidencing their potential. This interest is deduced through the visualization of different landscapes and activities of interest to tourists. Under these four central points, the aim was to understand the aims of agritourism in Extremadura (Spain). At the methodological level, a combination of descriptive statistics and spatial statistics was used, highlighting the use of cluster analysis. The results show a significant lack of knowledge of the meaning of agritourism, especially among those who have never practiced it, and of the activities associated with it. At the same time, the selection of landscapes preferred by tourists makes it possible to establish areas with potential for the development of these activities. Likewise, knowing which activities are of interest to tourists also helps to generate complementary activities and to better target the design of agrotourism products.

Magnetoencephalography-derived oscillatory microstate patterns across lifespan: the Cambridge centre for ageing and neuroscience cohort.

The aging brain represents the primary risk factor for many neurodegenerative disorders. Whole-brain oscillations may contribute novel early biomarkers of aging. Here, we investigated the dynamic oscillatory neural activities across lifespan (from 18 to 88 years) using resting Magnetoencephalography (MEG) in a large cohort of 624 individuals. Our aim was to examine the patterns of oscillation microstates during the aging process. By using a machine-learning algorithm, we identify four typical clusters of microstate patterns across different age groups and different frequency bands: left-to-right topographic MS1, right-to-left topographic MS2, anterior-posterior MS3 and fronto-central MS4. We observed a decreased alpha duration and an increased alpha occurrence for sensory-related microstate patterns (MS1 & MS2). Accordingly, theta and beta changes from MS1 & MS2 may be related to motor decline that increased with age. Furthermore, voluntary 'top-down' saliency/attention networks may be reflected by the increased MS3 & MS4 alpha occurrence and complementary beta activities. The findings of this study advance our knowledge of how the aging brain shows dysfunctions in neural state transitions. By leveraging the identified microstate patterns, this study provides new insights into predicting healthy aging and the potential neuropsychiatric cognitive decline.

Measuring the Impact of the COVID-19 Pandemic on Elite Swimming Performance

This paper aims to understand how much elite swimmers’ training plans for the 2020 Olympics were altered by the COVID-19 pandemic and to measure the effect the interruption had on performances at the United States Olympic Trials Swimming Meet, held in June 2021. To understand better the extent of the disruption caused by the pandemic, we surveyed swimmers and their coaches prior to the meet and found plans were altered in a number of dimensions, including time in the pool, time spent on complementary training activities like weightlifting, and the number of competitions swimmers used to prepare for the Trials. Those surveyed expressed worry that performances would suffer as a result of the disruptions, especially in longer races. We use rankings of United States swimmers from 1999-2019 to measure how much performance suffered from disruptions brought on by the pandemic. We estimate that swimmers’ performances generally were worse than forecasted, especially in longer events, and that, somewhat surprisingly, some stroke disciplines performed worse than others. Our findings fit into a larger picture of the societal disruptions to health, education, and labor participation from COVID-19.

Projecting, infrastructuring and calculating: From an In vitro to an In vivo carbon market

Mobilising the work of Alfred Schutz, this paper argues that action is inherently projection, and seeks to understand how calculation becomes entangled in action as projection and projects. We pursue this aim through an empirical study of the birth of an in-vitro carbon market in Australia. We demonstrate how, prior to its birth, the market was projected by means of two complementary activities – (1) the anticipatory visualization of a completed market through multiple means including texts, numbers, and economic models, and (2) operational infrastructuring through boundary-work, standardization, and the public design of devices to help manage the politics of projection. Calculation penetrates both processes, although different calculations were made. Through theorising action as projection, we highlight the temporal hybridity of action - how past, present, and future are encapsulated in calculative action, and why futures are not terra nova but familiar spaces, made with relatable knowledge of the past and present.

Novel bioactive extract from yarrow obtained by the supercritical antisolvent-assisted technique inhibits lipid metabolism in colorectal cancer.

Background: Altered lipid metabolism in cancer is associated to dissemination and prognosis. Bioactive compounds naturally occurring in Achillea millefolium L. (yarrow) have been reported to exert antitumour activities. Food biotechnology may provide on-demand mixtures of bioactive compounds with complementary activities in cancer treatment. Methods: Supercritical-antisolvent-precipitation (SAS) has been applied to fractionate the bioactive compounds from an Ultrasound-Assisted-Extraction yarrow extract resulting in two extracts with distinct polarity, yarrow-precipitate-(PP) and yarrow-separator-(Sep). Total phenolic content and relevant essential oils have been characterized. Antioxidant, anti-inflammatory and antiproliferative activities have been compared. Moreover, the effect on the inhibition of colorectal cancer cells' bioenergetics has been evaluated. Results: Yarrow-PP exerted the highest antioxidant activity, even higher than the complete UAE-yarrow extract, meanwhile yarrow-Sep showed the highest anti-inflammatory activity, even higher than the complete UAE-yarrow extract. Interestingly, yarrow-Sep inhibited key lipid metabolic targets in CRC cells extensively shown to be implicated in cancer dissemination and prognosis -SREBF1, FASN, ABCA1 and HMGCR- and epithelial to mesenchymal targets-CDH1, ATP1B1, CDH2 and Vimentin-augmenting cell adhesion. Conclusions: In summary, SAS technology has been applied to provide a novel combination of bioactive compounds, yarrow-Sep, which merits further research to be proposed as a potential complementary nutraceutical in the treatment of CRC.

Effects of Online Health Promotion Program to Improve the Health and Wellbeing of Healthcare Students: A Feasibility Study.

Healthcare students' health and wellbeing have been seriously affected worldwide. Research studies highlighted the need to establish health promotion strategies to improve them. A mixed method feasibility with a randomized controlled trial study followed by qualitative focus-group interviews to evaluate the effect of a 24 h online health promotion program improving healthcare students' health and wellbeing was performed in mid-2022. The study also illustrated the program's effect, contents, and activity arrangements. Healthcare students from two large tertiary institutions were randomly assigned to intervention and waitlist-control groups. Outcomes were measured by self-completed online questionnaires at three-time points (baseline, week four, and week eight), and in-depth focus-group interviews followed. Among 70 enrolled and 60 eligible students, 54 completed the study, with a 10% attrition rate. Results demonstrated a significant difference between groups at week eight. Within the intervention group, there were significant differences were found from baseline to week eight for depression (p = 0.001), anxiety (p = 0.004), and stress (p < 0.001). The program also improved certain domains of personal wellbeing and quality of life. Qualitative findings further illustrated the program contents and activities' feasibility, acceptability, and suitability. Most participants welcomed the online mode's flexibility and convenience. They enjoyed diversified and complementary content and activities. They had increased self-awareness of health and wellbeing. Besides, mental health knowledge enables them to 'self-care' and help those in need in the future. The results indicate the feasibility of performing full-scale research in the future and may provide more support for the students of higher education institutions.

Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review

In this article, we focus on the opacity issue of sub-symbolic machine learning predictors by promoting two complementary activities— symbolic knowledge extraction (SKE) and symbolic knowledge injection (SKI)—from and into sub-symbolic predictors. We consider as symbolic any language being intelligible and interpretable for both humans and computers. Accordingly, we propose general meta-models for both SKE and SKI, along with two taxonomies for the classification of SKE and SKI methods. By adopting an explainable artificial intelligence (XAI) perspective, we highlight how such methods can be exploited to mitigate the aforementioned opacity issue. Our taxonomies are attained by surveying and classifying existing methods from the literature, following a systematic approach, and by generalising the results of previous surveys targeting specific sub-topics of either SKE or SKI alone. More precisely, we analyse 132 methods for SKE and 117 methods for SKI, and we categorise them according to their purpose, operation, expected input/output data and predictor types. For each method, we also indicate the presence/lack of runnable software implementations. Our work may be of interest for data scientists aiming at selecting the most adequate SKE/SKI method for their needs, and may also work as suggestions for researchers interested in filling the gaps of the current state-of-the-art as well as for developers willing to implement SKE/SKI-based technologies.

Supporting children’s participation in active travel: developing an online road safety intervention through a collaborative integrated knowledge translation approach

ABSTRACT Even though regular engagement in physical activity (PA) among children can support their development and encourage the adoption of healthy lifelong habits, most do not achieve their recommended guidelines. Active travel (AT), or any form of human-powered travel (e.g., walking), can be a relatively accessible, manageable, and sustainable way to promote children’s PA. One common barrier to children’s engagement in AT, however, is a reported lack of education and training. To support children’s participation in AT, this paper presents the development of a comprehensive 4-module online road safety education intervention designed to improve children’s knowledge and confidence regarding AT. Using a qualitative integrated knowledge translation (iKT) approach undertaken with community collaborators (n = 50) containing expertise in health promotion, public safety, school administration, and transportation planning, our inductive thematic analysis generated fourth themes which constituted the foundation of the intervention modules: Active Travel Knowledge: Awareness of Benefits and Participation; Pedestrian Safety and Skills: Roles, Responsibilities, and Rules; Signs and Infrastructure: Identification, Literacy, and Behaviour; Wheeling Safety and Skills: Technical Training and Personal Maneuvers. Each theme/module was then linked to an explicit learning objective and connected to complementary knowledge activities, resources, and skill development exercises. Implications for research and practice are discussed.