Goal Of Activity Research Articles

The transferability of passion: how green influencers inspire tourists’ green initiative support

The tourism industry has caused severe environmental damage, partially due to the high volume of tourists and their limited engagement in pro-environmental behavior. A viable solution to this problem lies in the involvement of green influencers in promoting green initiatives for destinations. This research seeks to understand how green influencers induce tourist support for such initiatives. Study 1 examines the “contagion effect” of passion, revealing that influencers’ genuine enthusiasm for a green initiative enhances tourists’ support for such an initiative by boosting their passion and green self-efficacy. Study 2 tests a moderated sequential mediation effect and shows that the contagion effect intensifies when influencers clearly articulate a call to action (goal specificity). The study’s findings help to fill gaps in the influencer marketing literature and offer practical guidelines for destinations seeking to collaborate effectively with influencers to promote sustainable tourist behavior by conveying influencer passion and establishing specific goals.

Using Direct Decarbonization Strategies to Plan for a Resilient and Fossil Fuel-Free Future

UC Davis has a vision for a fossil fuel-free future. The university released the Fossil Fuel-Free Pathway Plan (FFFPP) to address the climate crisis by reducing Scope 1 and Scope 2 greenhouse gas emissions. The FFFPP outlines strategies to eliminate 95% of fossil fuel use, based on 2019 levels, from university operations by 2040. The plan includes the Davis campus, UC Davis Health, Aggie Square, Tahoe Environmental Research Center, Bodega Marine Laboratory, and multiple outlying and leased properties. UC Davis has already broken ground on the Big Shift, a fossil fuel-free conversion project that will allow the campus to heat buildings with electricity rather than natural gas and reduce the Davis campus’s fossil fuel consumption by 80%. The FFFPP aligns with broader climate goals and initiatives set by the University of California (UC). The Pathways to a Fossil-Free UC Task Force was created to investigate the challenge of accelerating efforts to decarbonize each UC campus. To further support these efforts the UC recently adopted stronger climate action goals that prioritize direct emission reductions. UC Davis participates in the UC President’s Bonnie Reiss Leading on Climate Student Fellowship Program, which funds student-generated projects that reinforce the UC-wide climate action goals. UC Davis students in the program are playing an important role in climate resiliency on campus.

Design of the safety climate thermometer to promote team dialogue in surgical teams, using a thematic literature review and international expert panel study

Abstract Introduction A safe work climate benefits patients and healthcare professionals. Most instruments for evaluating safety climate are lengthy questionnaires focusing on either measuring and benchmarking, or identifying areas for improvement. We aimed to design a communication instrument promoting team discussion about safety in surgical teams: the safety climate thermometer (SCT). Method First, a literature study was conducted to identify important safety themes, which were then organized into eight safety climate themes. Behavior-based assessment statements were drafted per theme. Second, an expert panel study with international experts was conducted, soliciting feedback on our initial SCT design. Their feedback led to a redesign into the SCT prototype presented in this study. Results The literature search yielded twelve existing instruments and three reviews. Twenty-two experts participated in the panel study. The final SCT prototype framed eight safety climate themes and is organized into two parts. In Part I, team members individually and anonymously evaluate team performance per theme by responding to a single statement to quickly assess global perceptions of that theme. Based on their collective scores, the team chooses one safety climate area to investigate further by scoring one set of eight in-depth statements. In Part II, a structured interdisciplinary team discussion takes place aiming to pinpoint a work floor issue and set actionable goals for improvement. Discussion/conclusion The SCT is a communication instrument for surgical teams that first focuses on identifying opportunities for improvement, and then structuring team discussion and follow-up, aiming to improve safety climate.

Analysis of Key Factors and Correlations Influencing the Adoption of Autonomous Ships by Shipping Companies—A Study Integrating Revised DEMATEL-AHP with BOCR

In response to achieving the United Nations Sustainable Development Goals (SDGs) of Climate Action (#13) and Life Below Water (#14), the promotion of autonomous shipping technologies has advanced from the experimental stage to specific regional implementation, presenting the maritime industry with rapid and significant changes and challenges. In the future era, where autonomous vessels dominate shipping, with automated operation systems taking the lead, how successfully shipping companies harness these new maritime transport modes will critically impact the safety, efficiency, and reliability of future vessel operations. With the emergence and development of autonomous vessels, it is crucial to effectively assess the importance and correlation of key factors influencing shipping companies’ adoption of autonomous ships. This study utilizes the Analytic Hierarchy Process (AHP) and Revised Decision Making and Trial Evaluation Laboratory (RDEMATEL) to survey senior managers in container and bulk shipping from Taiwan, China, Japan, and the European Union. Through a literature review on the benefits, opportunities, costs, and risks brought by autonomous shipping, this study aims to understand the critical factors important to shipping companies in adopting autonomous shipping, as well as the correlation between these influencing factors across different shipping sectors. The research findings indicate that “emergency response capability” is a critical factor influencing overall and bulk shipping in the adoption of autonomous vessels, while “incomplete regulations” are the primary factor influencing container shipping in the adoption of autonomous ships. Regarding the correlation of critical influencing factors, “vessel technology development” is the main influencing factor for overall, container, and bulk shipping; “operational performance enhancement” is the primary affected factor for overall and container shipping; and “enhancing personnel and vessel safety” is the main affected factor for bulk shipping. It is hoped that the results of this study can serve as a guide for shipping companies in understanding the benefits and opportunities to be emphasized when adopting autonomous shipping and assist in developing effective strategies to reduce costs and risks.

Reassessing the Neural Correlates of Social Exclusion: A Replication Study of the Cyberball Paradigm Using Arterial Spin Labeling.

The cyberball paradigm has been used in numerous neuroimaging studies to elicit activation in neural substrates of social exclusion, which have been interpreted in terms of activity associated with "social pain". The objectives of the study were to assess not only the replicability but also the specificity of the areas activated by this paradigm. Functional imaging with arterial spin labeling, an approach to image longer mental states. We replicated findings of previous meta-analyses of this paradigm in the inferior frontal gyrus and ventral cingular cortex. However, these areas were also active in a watch condition (in which participants were not excluded), although less so. These findings relativize a simple and specific interpretation of these areas as the neural substrates of social exclusion and social pain, as in previous studies. In a broader experimental context, similar activations have been reported by neuroimaging studies when semantic disambiguation and evaluation of action goals are required, an interpretation that may also apply to the effects elicited by this paradigm.

Does financial inclusion enhance farmers' resilience to climate change? Evidence from rural Ethiopia

AbstractFinancial inclusion is recognized as a vital driver of sustainable development and serves as a fundamental pillar of climate action. It is crucial to enhance the climate resilience of smallholder farmers in the face of severe and unpredictable climate shocks, which disproportionately affect them. However, the level of financial inclusion in Ethiopia remains low, and its impact on the climate resilience of smallholder farmers has not been thoroughly examined using rigorous model and comprehensive dataset. This study investigates the impact of financial inclusion on the climate resilience of rural households, using a large data set from the Ethiopian Socio‐Economic Survey. The principal component analysis was applied to construct a climate resilience index. The financial inclusion was measured using an index that encompasses three dimensions: penetration, availability, and usage. In order to address the endogenous nature of financial inclusion, an instrumental variable approach was employed, using the distance to the nearest financial institution and religion as instrumental variables. The results demonstrated a positive and significant impact of financial inclusion on the climate resilience of rural households. Therefore, the government should strengthen the provision of essential financial and related infrastructures in rural Ethiopia to improve access to financial products and services. Furthermore, it is essential for policymakers to initiate and implement financial sector reforms that ensure the availability of affordable and tailored financial services. These reforms should also prioritize the development of climate‐resilient agricultural finance, thereby contributing to the achievement of climate action goal of sustainable development.

Defenders of the status quo: energy protests and policy (in)action in Sweden

Abstract Are the positions that protesters take—in favor or against change—consequential for their ability to affect policy? While previous research suggests that protests can inform legislative priorities and facilitate policy introduction, this paper emphasizes policy inaction and stasis as goals of some protest actions. Analysis uses novel and detailed data on energy-related protest and policy actions in Sweden covering a forty-year period and considers protest frequency and size in relation to proposal introduction. The research design uniquely distinguishes between protests in favor or against a specific energy source and proposal activity in line with those demands and also controls for public opinion on each energy source. Findings suggest that pro-renewable energy protests do not yield pro-renewable policies but prevent undesired policies that support non-renewable energy sources. In contrast to pro-renewable protests, protests against renewable energy sources are somewhat more influential. They likewise prevent the introduction of their undesired proposals and also influence the introduction of proposals supporting non-renewable energy sources. Overall, the paper examines policy inaction as a desired protest outcome and argues protest—as a tactic—may be more effective when pushing against rather than for policy change.

Supporting diversity in clinical trials: the equitable breakthroughs in medicine site maturity model

BackgroundAmong the most powerful barriers to broader inclusion of diverse participants in clinical trials are social determinants of health, trustworthiness of health care providers and research institutions, and competing pressures on potential participants. Nevertheless, current tools to assess organizational capabilities for clinical trial diversity focus primarily on trial infrastructure, rely solely on quantitative self-reported data, and lack meaningful assessment of capabilities related to community engagement.MethodsThe Equitable Breakthroughs in Medicine (EQBMED) initiative developed a holistic, collaborative, site-driven formative model and accompanying assessment to catalog sites’ current capabilities and identify opportunities for growth in both conducting industry-sponsored clinical trials and enriching diversity of those trials. The model builds upon prior work and reflects unification of two historically distinct components—research operations and community engagement—since sustainable clinical trial diversity efforts must overcome these silos. Here we present the methodology we used to develop the model and accompanying assessment, describe how findings can support clinical trial diversity efforts, and report findings from early field testing at three U.S. sites.ResultsThe first three sites were diverse in size (e.g., < 250–1 K beds), with varying levels of clinical trial capabilities and community engagement. The maturity assessment laid the foundation for sites to identify and prioritize key areas to advance clinical trial diversity capabilities, and each has made tangible progress. In parallel to completing the assessment with these early sites to understand their maturity and set actionable goals, we also collected their feedback on content validity (e.g., clarity, comprehensiveness, terminology) and feasibility (e.g., ability to collect needed information and data, time required). We describe refinements made to improve the assessment and streamline the process. The EQBMED program will deploy the assessment across various site types (e.g., FQHCs, safety net hospitals) and make further refinements as warranted.ConclusionsStrategic investment in clinical trial diversity requires structured assessment of site maturity as a starting point for collaborative action. We propose the EQBMED maturity model as a first step toward informing efforts to increase representation of diverse populations in clinical research.

Beyond xG: A Dual Prediction Model for Analyzing Player Performance Through Expected and Actual Goals in European Soccer Leagues

Soccer is evolving into a science rather than just a sport, driven by intense competition between professional teams. This transformation requires efforts beyond physical training, including strategic planning, data analysis, and advanced metrics. Coaches and teams increasingly use sophisticated methods and data-driven insights to enhance decision-making. Analyzing team performance is crucial to prepare players and coaches, enabling targeted training and strategic adjustments. Expected goals (xG) analysis plays a key role in assessing team and individual player performance, providing nuanced insights into on-field actions and opportunities. This approach allows coaches to optimize tactics and lineup choices beyond traditional scorelines. However, relying solely on xG might not provide a full picture of player performance, as a higher xG does not always translate into more goals due to the intricacies and variabilities of in-game situations. This paper seeks to refine performance assessments by incorporating predictions for both expected goals (xG) and actual goals (aG). Using this new model, we consider a wider variety of factors to provide a more comprehensive evaluation of players and teams. Another major focus of our study is to present a method for selecting and categorizing players based on their predicted xG and aG performance. Additionally, this paper discusses expected goals and actual goals for each individual game; consequently, we use expected goals per game (xGg) and actual goals per game (aGg) to reflect them. Moreover, we employ regression machine learning models, particularly ridge regression, which demonstrates strong performance in forecasting xGg and aGg, outperforming other models in our comparative assessment. Ridge regression’s ability to handle overlapping and correlated variables makes it an ideal choice for our analysis. This approach improves prediction accuracy and provides actionable insights for coaches and analysts to optimize team performance. By using constructed features from various methods in the dataset, we improve our model’s performance by as much as 12%. These features offer a more detailed understanding of player performance in specific leagues and roles, improving the model’s accuracy from 83% to nearly 95%, as indicated by the R-squared metric. Furthermore, our research introduces a player selection methodology based on their predicted xG and aG, as determined by our proposed model. According to our model’s classification, we categorize top players into two groups: efficient scorers and consistent performers. These precise forecasts can guide strategic decisions, player selection, and training approaches, ultimately enhancing team performance and success.

Hedonisme di Kalangan Mahasiswa: Eksplorasi Atas Pencarian Kenikmatan Instan Dalam Lingkungan Pendidikan Tinggi

Hedonism is the teaching or view that pleasure or enjoyment is the goal of human life and actions. The meaning of hedonism has shifted over time. Hedonism is currently synonymous with luxury and an excessive lifestyle, and tends to lead to consumer behavior. People who behave hedonistically are usually called hedonists, where they always maximize their feelings of pleasure if they want something to the maximum. Hedonistic behavior can be caused by several factors, namely internal and external. Hedonistic behavior has been found in many places and almost all groups have experienced it and even experienced it. hedonism can be said that the goal of hedonism is the aim of living naturally with pleasure for humans. Not a few people who have a hedonistic lifestyle will do things that are sometimes beyond reason in order to justify any means, whether it is hurting or harming other people, even those closest to them. This research aims to find out the extent of the factors and influences of hedonistic behavior among teenagers collected from several articles that have been published. The method used for this research is a Literature Review which collects several articles that have been published. Hedonism does not occur in a certain place, but is a lifestyle that can be adopted by several people and in several circles, one of which is teenagers. Because during the character formation period it can have a big influence on its adherents

Участь посольства Совєтського Союзу в Канаді у запереченні Голодомору (1983–1984 рр.)

The article examines the participation of the embassy of the Soviet Union in Canada in denying the Holodomor of 1932–1933 in Ukraine. It was established that the information campaign of the Ukrainian community, in particular the Ukrainian Canadian Committee (UCC) and the World Congress of Free Ukrainians (WCFU), which was designed to draw attention to the causes and consequences of the famine-genocide, caused an extremely negative reaction from Moscow. The Embassy of the Soviet Union in Ottawa was actively involved in the campaign to deny the artificial famine in Ukraine, trying to mix the accents in the coverage of the problem. The Soviets did not plan to engage in open discussions with their opponents, but instead: 1) promoted the achievements of the collective farm system through publications under the control of the “News” Press Agency; 2) used the trips of delegations controlled by the special services of the organization “Ukraine” to form a “correct vision” of the events of the past; 3) in every way they showed the “true goals of anti-Soviet actions” in publications published abroad. The method of denial included falsification of historical events, emphasis on the success of collectivization of agriculture, interpretation of any talk about famine as “anti-Soviet slander”, etc. Through its embassy, Moscow tried to convince Canadian politics of the need to take measures to stop “anti-Soviet provocative activities”. A special press release dated April 28, 1983, sent by the Soviet embassy to Canadian politicians, universities and the mass media, was decisive in explaining the events of 1932–1933 in Ukraine. His key message was the assertion that there was no famine, and Ukraine in 1932–1933 was experiencing only certain difficulties caused by the drought and the “resistance of the Kurkuls”. The support of the actions of the Ukrainian community on the part of influential Canadian politicians caused the appearance of several notes of protest from the embassy of the Soviet Union condemning the practices of commemorating the victims of the Holodomor (installation of monuments in Edmonton and Winnipeg, creation of the documentary film “Harvest of Despair”, holding of thousands of memorial events, etc.). Over time, from defensive tactics (denial, shift of emphasis), the Soviets switched to “active measures” designed to discredit researchers and witnesses of the Holodomor, as well as public figures who publicized Stalin’s crimes (for example, labeling them “fascists”, “accomplices fascists” etc.). Therefore, with the efforts of the Committee for State Security (KGB) and with the support of the Soviet Embassy, a special operation codenamed “Pharisees” was launched. Its measures were aimed at “throwing/promoting” abroad materials designed to refute information about the artificial nature of the 1932–1933 famine and undermine the credibility of researchers and witnesses of the Holodomor. However, despite all efforts to divert Canadian politicians from supporting Ukrainians and to change the narrative about the Holodomor across the ocean, the Soviets failed. Keywords: Holodomor, Canada, Embassy of the Soviet Union in Ottawa, objection, note of protest, Committee for State Security, Ukrainian Canadian Committee, Brian Mulroney, discredit.

Microplastics removal from a hospital laundry wastewater combining ceramic membranes and a photocatalytic membrane reactor: Fouling mitigation, water reuse, and cost estimation

The release of microplastics (MPs) through industrial laundry wastewater accounts for 35 % of global MPs emissions into the environment and it is a significant environmental problem, especially because MPs can absorb contaminants of emerging concern (CECs) from garments. This study is the first to evaluate and perform a cost estimation of the MP removal from hospital laundry wastewater (HLWW) using a combination of ceramic membranes and a pilot-scale photocatalytic membrane reactor (PMR) as a fouling mitigation strategy. The HLWW, from a hospital in Copenhagen, Denmark, contained a total organic carbon (TOC) of 345 mg L⁻1 and 1.4 × 106 MP L−1, mainly of polyethylene terephthalate (PET) ranging between 100 and 200 μm in size. The pre-treatment with an ultrafiltration (UF) ZrO₂ membrane successfully removed 96 % of MPs and over 98 % of suspended solids and turbidity at an estimated cost of 0.45 US$ per m3 of permeate. In the PMR stage, ultraviolet light emitting diodes (UV LED) irradiation reduced irreversible fouling, improving permeate flow and minimizing the need for chemical cleaning. The Ce–Y–ZrO2/TiO2 photocatalytic membrane achieved over 99 % removal of turbidity, colour, and suspended solids, as well as 99.9 % removal of MPs, allowing the potential effluent reuse within the hospital laundry. Additionally, the retentate from the PMR process had lower TOC, easing the discharge of this concentrated stream. The cost estimation demonstrated that the photocatalytic degradation combined with traditional techniques, i.e. backflush and chemical cleaning, is more economical than using these techniques separately. Therefore, the total treatment cost was 1.09 US$ per m3 of permeate, which is lower than the cost of fresh water in Denmark. In conclusion, this innovative treatment strategy offers a sustainable and cost-effective solution for HLWW management, not only reducing water consumption by enabling water reuse in the hospital laundry but also advances towards achieving net-zero liquid discharge and contributing to the UN Sustainable Development Goals for clean water (Goal 6) and climate action (Goal 13).

Sustainability Literacy: Assessment of knowingness, attitude and behavior regarding sustainable development among students in China

Education is critical to achieving the world’s sustainable development (SD). Assessment or measurement is a means to help an education system to accelerate integrating SD content. To have a perception of the gap in relation to the SD action goals, a basic understanding of current students’ knowledge, attitudes and behaviors (KAB) needs to be established. The study applied a survey to assess Chinses students’ knowingness, attitude and behavior regarding SD. Data were collected from students from all parts of China via an online survey tool, which consists of 887 primary-school students and 1661 secondary-school students. The results indicate a high level of KAB regarding SD among Chinese students, while this sustainability literacy is mainly embodied in the environmental dimension. In general, the results showed the better KAB of primary-school students than secondary-school students, while there was almost no difference between male and female students. Moreover, knowingness and attitude have significant and positive correlations with behaviors. These results constitute a general sketch of Chinese students’ sustainable knowledge, attitudes and behavior, which could be employed to monitor China’s efforts on education for sustainable development and also to foster curriculum developments and innovations in China.

Qualitatively Analyzing Optimization Objectives in the Design of HPC Resource Manager

A correct evaluation of scheduling algorithms and a good understanding of their optimization criteria are key components of resource management in HPC. In this work, we discuss bias and limitations of the most frequent optimization metrics from the literature. We provide elements on how to evaluate performance when studying HPC batch scheduling. We experimentally demonstrate these limitations by focusing on two use-cases: a study on the impact of runtime estimates on scheduling performance, and the reproduction of a recent high-impact work that designed an HPC batch scheduler based on a network trained with reinforcement learning. We demonstrate that focusing on quantitative optimization criterion (“our work improves the literature by X%”) may hide extremely important caveat, to the point that the results obtained are opposed to the actual goals of the authors. Key findings show that mean bounded slowdown and mean response time are hazardous for a purely quantitative analysis in the context of HPC. Despite some limitations, utilization appears to be a good objective. We propose to complement it with the standard deviation of the throughput in some pathological cases. Finally, we argue for a larger use of area-weighted response time, that we find to be a very relevant objective.

Increasing Productivity by Empowering Individuals with Mental Illnesses

Mental illnesses are the primary cause of lost productivity. People with mental problems have a deterioration in practically all functions as a result of their symptoms, which lowers productivity. Medication by itself won't bring productivity back; initiatives to empower and support people are also required. The activity's goal is to help those who suffer from mental illnesses become more productive. Forming support groups and providing business mentoring are two aspects of the activity approach known as mentoring. Thirteen participants suffered from mental illnesses. Activities for the support group take place across two sessions. Participants receive business capital in the form of hens, cooking supplies, and necessities for a basic food stall based on their ability. team that provides mental health services to the community. The effectiveness of the mentoring activity is assessed by measuring productivity both before and after the engagement. The rise in constructive activities that individuals engage in is used to measure productivity. After helping those with mental health issues and their families in Argodadi Village, Sedayu sub-district, Bantul district, DI Yogyakarta, community service was implemented, and the end result was that all participants actively participated in mentoring activities. The productivity of individuals with mental illnesses is increased when they receive mentoring for themselves and their family. The activity results in research studies published in national journals, media publications, video programs, and dementia modules. The activity results in research studies published in national journals, media outlets, program videos, and the Dementia Module.

Applying Multi-Task Deep Learning Methods in Electricity Load Forecasting Using Meteorological Factors

The steady rise in carbon emissions has significantly exacerbated the global climate crisis, posing a severe threat to ecosystems due to the greenhouse gas effect. As one of the most pressing challenges of our time, the need for an immediate transition to renewable energy is imperative to meet the carbon reduction targets set by the Paris Agreement. Buildings, as major contributors to global energy consumption, play a pivotal role in climate change. This study diverges from previous research by employing multi-task deep learning techniques to develop a predictive model for electricity load in commercial buildings, incorporating auxiliary tasks such as temperature and cloud coverage. Using real data from a commercial building in Taiwan, this study explores the effects of varying batch sizes (100, 125, 150, and 200) on the model’s performance. The findings reveal that the multi-task deep learning model consistently surpasses single-task models in predicting electricity load, demonstrating superior accuracy and stability. These insights are crucial for companies aiming to enhance energy efficiency and formulate effective renewable energy procurement strategies, contributing to broader sustainability efforts and aligning with global climate action goals.

Evaluation of Teaching Performance of Dental College Lecturers in India

The actual goal of teaching dental students is to help them learn important skills and enhance their knowledge to become proficient doctors in the future and offer proper care to patients. However, dental teachers do not acquire formal training as a teacher. It is important to assess the teaching performance of the dental lecturers for their professional growth and student success. Further, peer evaluation is also significant as it provides benefits to students and lecturers as well. Hence, the study focuses on determining the teaching performance of dental lecturers in Tamil Nadu, India. The data from 20 participants has been collected using peer observation. With the help of a thematic table, significant results have been determined, indicating the different characteristics of the well-prepared, partially prepared, and not-prepared lecturers.

Practice-Based Implementation Network: Behavioral Health Technician Optimization Pilot Lessons Learned.

Between June 2021 and December 2022, the Practice-Based Implementation (PBI) Network conducted a pilot to study the optimization of behavioral health technicians (BHTs) within military behavioral health (BH) care system specialty BH clinics. Behavioral health technicians are paraprofessionals found in all branches of the military, and with training across a variety of clinic functions. Behavioral health technicians support BH specialty providers in many clinic functions (i.e., administrative, case management, clinical, and outreach). The primary aim of the BHT optimization pilot was to increase BHTs' involvement in clinical care. Four military BH outpatient clinics participated in the BHT optimization pilot. Participants from the 4 clinics included 12 BHTs, 3 providers, 3 internal facilitators, and 3 dual-role providers/internal facilitators. The pilot asked each clinic to assess their BHT utilization needs, and then barriers and facilitators to BHT optimization were addressed by creating site-specific BHT optimization plans. The degree to which clinic optimization of BHTs impacts provider workload, clinic capability or capacity, and patient access to evidence-based care could not be determined during the BHT optimization pilot. However, individualized clinic BHT optimization plans and strategies appeared to be feasible and acceptable methods for military health system BH clinics to optimize BHTs' clinical skills. Lessons learned from this pilot included that: (1) clinics should consider establishing and maintaining action plans with specific, actionable goals for use of BHTs, and (2) BHT supervision, training, and clinic processes supporting optimization should be prioritized despite time constraints. Overall, individualized clinic BHT optimization plans and strategies appear to be feasible and acceptable methods for military health system BH clinics to optimize BHTs' clinical skills.

Dance of two brains: Interval subdivision in alternated condition enhances resistance to interference by others

The accomplishment of interpersonal sensorimotor synchronization is a challenging endeavor because it requires the achievement of a balance between accurate temporal control within individuals and smooth communication between them. This raises a critical question: How does the brain comprehend and process the perceptual information of others to guarantee accurate temporal control of action goals in a social context? A joint synchronization - continuation tapping task was conducted together with varying relative phases (0°/180°) and intervals of tempos (400 ms/800 ms/1600 ms) while neural data was collected using fNIRS (functional near-infrared spectroscopy). Individuals showed better behavioral performance and greater interpersonal brain synchronization(IBS) in the left dorsolateral prefrontal cortex at alternated condition (180° relative phase) compared to symmetric condition (0° relative phase), suggesting that the individual can better maintain behavioral performance and show improved IBS when the partner taps between the individual's gaps. Meanwhile, in most levels of alternated condition, IBS is inversely proportional to interference from partner, implying the counteraction of IBS against interference from others. In addition, when the interval of tempo was 1600 ms, behavioral performance showed a sharp decline, accompanied by a decrease in IBS, reflecting that IBS in SMS reflects effective information exchange between individuals rather than ineffective interference with each other. This study provides insight into the mechanisms underlying sensorimotor synchronization between individuals.

Localising the Global Goal on Adaptation through intersectional thinking

This viewpoint explores how intersectional thinking can help localise the Global Goal on Adaptation (GGA) to promote equity and justice in climate adaptation. Localising the GGA is essential for translating global objectives into actionable strategies at the local level. Adaptation goalsetting and current adaptation measurement approaches are hindered by the complexity of establishing shared metrics, the myopic focus on compliance and reporting, and the neglect of the dynamic, context-specific nature of adaptation processes. By incorporating intersectional thinking, we argue for a more nuanced approach that considers the compounded sources of vulnerability, especially in urban areas, where marginalised groups are disproportionately affected by climate impacts. We apply an Intersectional Climate Justice framework to guide the localisation of the GGA throughout the adaptation policy cycle, from impact, vulnerability, and risk assessment, to planning, implementation, and measurement. Embedding intersectional thinking throughout the GGA’s adaptation policy cycle aligns global goals with local realities, enabling local actors to develop more comprehensive, context-specific strategies that address the needs and priorities of vulnerable communities. We also highlight the potential of intersectional climate justice to bridge climate action and broader development goals, ultimately fostering more equitable and just futures.