Specific Strategies Research Articles

Attention-enhanced conditional-diffusion-based data synthesis for data augmentation in machine fault diagnosis

Data scarcity and class imbalance are pervasive challenges in machine fault diagnosis, impeding the development and broad adaptation of accurate and reliable deep-learning-based fault detection systems. To address these issues, we propose a novel attention-enhanced conditioning-guided diffusion-based approach for synthesizing additional training data. By generating noisy motor-current signals and employing a diffusion process to reduce noise levels, we obtain synthetic data that closely resembles the statistical properties and patterns of real-world data. The quality of the synthesized samples is assessed using a four-layer, pre-trained convolutional neural network, achieving an impressive classification rate of 96.39%. This demonstrates the effectiveness of our attention-enhanced conditioned diffusion-based model in synthesizing critical features for fault detection, making it well-suited for the introduced fault detection task. To further investigate the quality of the synthesized data samples, we implement a specific training strategy that uses the generated samples as training data. The trained diffusion model generates samples per class, which are then used to train a simple four-layer convolutional neural network for fault classification. Remarkably, the model achieves an accuracy of 98.96% when evaluated with real inverter signals, indicating that the generated samples effectively capture the distribution of real data. For further evaluation, multiple scenarios are created confirming the value of the additionally synthesized samples for real-world bearing fault detection. Our approach presents a well-suited solution to the data scarcity and class imbalance problem in machine fault diagnosis. The proposed method enhances the accuracy and reliability of fault diagnosis systems, offering valuable insights for various real-world condition monitoring applications.

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations

Crime prediction is a crucial yet challenging task within urban computing, which benefits public safety and resource optimization. Over the years, various models have been proposed, and spatial-temporal hypergraph learning models have recently shown outstanding performances. However, three correlations underlying crime are ignored, thus hindering the performance of previous models. Specifically, there are two spatial correlations and one temporal correlation, i.e., (1) co-occurrence of different types of crimes (type spatial correlation), (2) the closer to the crime center, the more dangerous it is around the neighborhood area (neighbor spatial correlation), and (3) the closer between two timestamps, the more relevant events are (hawkes temporal correlation). To this end, we propose Hawkes-enhanced Spatial-Temporal Hypergraph Contrastive Learning framework (HCL), which mines the aforementioned correlations via two specific strategies. Concretely, contrastive learning strategies are designed for two spatial correlations, and hawkes process modeling is adopted for temporal correlations. Extensive experiments demonstrate the promising capacities of HCL from four aspects, i.e., superiority, transferability, effectiveness, and sensitivity.

Technical Advances Targeting Multiday Preservation of Isolated Ex Vivo Lung Perfusion.

Indications for ex vivo lung perfusion (EVLP) have evolved from assessment of questionable donor lungs to treatment of some pathologies and the logistics. Yet up to 3 quarters of donor lungs remain discarded across the globe. Multiday preservation of discarded human lungs on EVLP platforms would improve donor lung utilization rates via application of sophisticated treatment modalities, which could eventually result in zero waitlist mortality. The purpose of this article is to summarize advances made on the technical aspects of the protocols in achieving a stable multiday preservation of isolated EVLP. Based on the evidence derived from large animal and/or human studies, the following advances have been considered important in achieving this goal: ability to reposition donor lungs during EVLP; perfusate adsorption/filtration modalities; perfusate enrichment with plasma and/or donor whole blood, nutrients, vitamins, and amino acids; low-flow, pulsatile, and subnormothermic perfusion; positive outflow pressure; injury specific personalized ventilation strategies; and negative pressure ventilation. Combination of some of these advances in an automatized EVLP device capable of managing perfusate biochemistry and ventilation would likely speed up the processes of achieving multiday preservation of isolated EVLP.

De los me gusta al cambio: evaluación del impacto del compromiso ciudadano en las plataformas de redes sociales de la Comisión Europea

Introduction: The rise of social media has changed public institution communication, increasing dialogue with citizens and presenting challenges like privacy and misinformation. Aims/Objectives: To study how emotional resonance in communications from the European Commission on social media affects public engagement. Methodology: Analysis of the Commission's social media data (Feb 2019 - Apr 2023) using Fanpagekarma, evaluating participation metrics and sentiments with R. Results: Different emotional tones on platforms impact engagement; both positive and negative emotions correlate with increased interaction. Discussion: Emotional resonance enhances engagement, varying according to the platform, indicating the need for specific communication strategies. Conclusions: Emotional resonance and adaptation to platform norms are key in public engagement. Understanding these dynamics improves communication between the European Commission and the public.

Analyzing health outcomes measured as bounded counts

This paper assesses analytical strategies that respect the bounded-count nature of health outcomes encountered often in empirical applications. Absent in the literature is a comprehensive discussion and critique of strategies for analyzing and understanding such data. The paper's goal is to provide an in-depth consideration of prominent issues arising in and strategies for undertaking such analyses, emphasizing the merits and limitations of various analytical tools empirical researchers may contemplate. Three main topics are covered. First, bounded-count health outcomes' measurement properties are reviewed and their implications assessed. Second, issues arising when bounded-count outcomes are the objects of concern in evaluations are described. Third, the (conditional) probability and moment structures of bounded-count outcomes are derived and corresponding specification and estimation strategies presented with particular attention to partial effects. Many questions may be asked of such data in health research and a researcher's choice of analytical method is often consequential.

Unlocking the potential of olive residues for functional purposes: update on human intervention trials with health and cosmetic products.

Olive mill waste (OMW) is a promising source of valuable compounds such as polyphenols, terpenes, sterols, and other bioactive compounds, which are of interest to the pharmaceuticals and cosmeceutical industries. This review examines the potential of OMW extracts for health and beauty applications based on evidence reports from human clinical trials. The results achieved to date indicate health-enhancing properties, but little is known about the underlying mechanisms of action, dose-response relationships, and long-term impacts. Therefore, while olive by-products, extracted using eco-friendly methods, present opportunities for the development of high-value health and cosmetic products, further studies are necessary to determine the full range of their effects and establish specific therapeutic strategies. © 2024 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Healthy lifestyle interventions within the curriculum in school-age children: systematic review and meta-analysis.

Childhood obesity is a major public health challenge. Previous research has identified the impact of school-based interventions for preventing and treating obesity; we hypothesized that when curricular changes are integrated, results could be exponentiated. This study aimed to systematically review and conduct a meta-analysis of the published literature analyzing information about school-based interventions inserted in the curriculum. The Cochrane Handbook methodology was followed. An electronic search was conducted in five databases, with a specific design strategy per database. Randomized controlled trials or quasi-experimental studies of children with nutrition and physical activity (PA) interventions inserted into the school curricula were included. The risk of bias was assessed with the Risk of Bias tool. The mean differences were pooled using a fixed-effects model for the meta-analysis. The certainty of the evidence was evaluated according to the guidelines of the Grading of the Recommendations, Assessment, Development, and Evaluations working group (Protocol ID: CRD42021270557). After the screening and selection process, 12 studies were included. The interventions identified, based on the school curricula, include classroom activities and homework, among others. A meta-analysis with five intervention groups presented an overall mean difference of -0.14 body mass index (BMI) Z-score (95% CI: -0.25, -0.03) after this intervention with high certainty of the evidence. This systematic review and meta-analysis suggest that nutrition and PA lessons inserted into the curricula and supported with additional activities (i.e. homework, workshops, etc.) could increase nutrition knowledge and improve attitudes toward fruit, vegetables, and water consumption, and BMI Z-score reduction.

A Comparison of Autistic and Non-Autistic College Students' Perceived Challenges and Engagement in Self-Advocacy.

Autistic students experience lower college graduation rates than their peers, affecting future opportunities. Self-advocacy is crucial for successful adaptation in postsecondary settings and is documented as a challenge for autistic students. The purpose of the study was to examine autistic college students' engagement in self-advocacy and specific college-related challenges as compared to their neurodivergent and neurotypical peers. This study used a cross-sectional survey design to compare perceptions related to self-advocacy and college-related challenges across three groups of students: autistic students, students with a disability other than autism, and nondisabled students. Descriptive and inferential statistics were used to compare survey responses across groups. Differences in the groups' perceptions of their engagement in overall self-advocacy and specific self-advocacy strategies were evident. Autistic students rated themselves significantly lower on self-advocacy than did students with other disabilities. When compared to their nondisabled peers, the autistic students and those with other disabilities were less likely to report comfort interacting in the classroom, including less interest in group work, and more difficulty interacting with unfamiliar peers. In addition, the autistic students were more likely to report difficulty recognizing the need for academic assistance when compared to both peer groups. Autistic students also reported greater social challenges in the college setting than their nondisabled peers, and both neurodivergent groups of students reported significantly more challenges, overall, navigating the college setting than did their nondisabled peers. Findings highlight the need for systematic, individualized self-advocacy supports for autistic and other neurodivergent college students. In addition, findings show the need to educate peers and professors about autism and self-advocacy to foster a welcoming college environment. Finally, findings suggest the need for increased social support and opportunities for social integration within postsecondary settings. Speech-language pathologists play a critical role in implementing these next steps.

Neoadjuvant chemotherapy is noninferior to chemoradiotherapy for early-onset locally advanced rectal cancer in the FOWARC trial.

The early-onset rectal cancer with rapidly increasing incidence is considered to have distinct clinicopathological and molecular profiles with high-risk features. This leads to challenges in developing specific treatment strategies for early-onset rectal cancer patients and questions of whether early-onset locally advanced rectal cancer (LARC) needs aggressive neoadjuvant treatment. In this post hoc analysis of FOWARC trial, we investigated the role of preoperative radiation in early-onset LARC by comparing the clinicopathological profiles and short-term and long-term outcomes between the early-onset and late-onset LARCs. We revealed an inter-tumor heterogeneity of clinical profiles and treatment outcomes between the early-onset and late-onset LARCs. The high-risk features were more prevalent in early-onset LARC. The neoadjuvant radiation brought less benefits of tumor response and more risk of complications in early-onset group (pCR: OR = 3.75, 95% CI = 1.37-10.27; complications: HR = 11.35, 95% CI = 1.46-88.31) compared with late-onset group (pCR: OR = 5.33, 95% CI = 1.83-15.58; complications: HR = 5.80, 95% CI = 2.32-14.49). Furthermore, the addition of radiation to neoadjuvant chemotherapy didn't improve long-term OS (HR = 1.37, 95% CI = 0.49-3.87) and DFS (HR = 1.05, 95% CI = 0.58-1.90) for early-onset patients. Preoperative radiation plus chemotherapy may not be superior to the chemotherapy alone in the early-onset LARC. Our findings provide insight into the treatment of early-onset LARC by interrogating the aggressive treatment and alternative regimens.

Associations Between Obesity-Related Gene MC4R rs17782313 Locus Polymorphism and Components of Metabolic Syndrome: A Systematic Review and Meta-Analysis.

Objective: It is well established that melanocortin-4 receptor (MC4R) rs17782313 locus polymorphism is associated with increased obesity risk and that obesity is strongly associated with an enhanced risk of all metabolic syndrome (MS) components. Thus, in this study, we examined the association between the MC4R rs17782313 locus polymorphism and the risk of the remaining MS components, namely, diabetes, hypertension, low high-density lipoprotein (HDL), and hypertriglyceridemia. Methods: We performed an extensive literature screening across six scientific databases, namely, PubMed, Embase, Web of Science, Medline, ScienceDirect, CNKI, and WanFang employing a specific search strategy. Eligible studies were selected for inclusion in our meta-analysis, and odds ratio (OR) values and 95% confidence interval (CI) were computed through fixed- or random-effects models to examine correlation strength. In addition, we performed subgroup analyses involving adjustment factors (unadjusted body mass index [BMI], adjusted BMI), race (Caucasian, Asian), and source of controls (population, hospital). Results: Twenty-two eligible studies were selected from 846 articles, involving 28,018 patients and 98,994 normal participants. Based on this meta-analysis, the MC4R rs17782313 locus polymorphism was associated with an augmented risk of diabetes (allele contrast model T vs. C: OR = 1.05, 95% CI = 1.03-1.08; dominant model TT vs. TC + CC: OR = 1.07, 95% CI = 1.03-1.11) and hypertension (dominant model TT vs. TC + CC: OR = 1.16, 95% CI = 1.03-1.31) risk. However, based on this analysis, the MC4R rs17782313 locus polymorphism was not associated with low HDL and hypertriglyceridemia risk. Conclusions: Based on this analysis, the MC4R rs17782313 locus polymorphism is associated with enhanced risks of diabetes and hypertension, while the associations with low HDL and hypertriglyceridemia require further exploration.

Malignant ovarian and testicular germ cell tumors: Common characteristics but different prognoses.

Both ovarian and testicular germ cell tumors (GCTs) arise from the primordial germ cell and share many similarities. Both malignancies affect mainly young patients, show remarkable responsiveness to cisplatin-based therapy, and have an excellent prognosis, which also highlights the importance of minimizing long-term side effects. However, certain differences can be noted: The spreading of the disease differs, and the staging system and treatment recommendations are dissimilar. Moreover, the prognosis for ovarian GCTs is significantly inferior to that for testicular cancer, as exemplified in this review comparing the survival in Swedish patients diagnosed with testicular (1995-2022) and ovarian (1990-2018) GCTs. The 5-year overall survival in ovarian GCTs was 85.2%, versus 98.2% for testicular GCTs. How can this be explained? One reason may be the difference in knowledge, experience, and evidence because the incidence rate of testicular cancer is more than 15 times that of ovarian GCTs. Given the rarity of the disease in women and the lack of established guidelines, a comprehensive understanding of the disease and treatment decisions is challenging. The main objective of this review is to derive insights from testicular GCTs (seminoma and non-seminoma) by reviewing etiological, tumor biological, and clinical knowledge, and to thereafter suggest actions for ovarian GCTs based on this. We hypothesize that by adopting specific treatment strategies from testicular GCTs-including de-escalating adjuvant chemotherapy for low-risk patients and implementing more standardized and intensive treatment protocols in cases of relapse-we can improve the prognosis and minimize long-term side effects in ovarian GCT patients.

Bilateral treaty networks: assessing cooperative spillover in defense and investment

Abstract The potential for mutual influence or “spillover” between economic and security cooperation is a long-standing area of interest for policymakers and scholars alike. This paper examines how network dynamics affect spillover. We focus on two prominent types of formal bilateral cooperation—defense cooperation agreements (DCAs) and bilateral investment treaties (BITs)—both of which have proliferated dramatically in the post-Cold War international system. We argue that existing theoretical and empirical approaches to economic-security spillover focus too strictly on influences at the bilateral level. As with other forms of international cooperation, BITs and DCAs comprise larger international networks. Governments develop portfolios of BITs or DCAs with distinct structural goals in mind, and they implement specific strategies in pursuing those goals. With BITs, governments follow a network-hierarchy strategy that allows them to influence treaty design and protect their firms. In DCAs, governments instead favor a network-community strategy focused on pooling collective security goods among groups of like-minded collaborators. When these network strategies complement one another, they promote cooperative economic-security spillover. When they conflict, however, they inhibit spillover, such that cooperation in economic or security issues discourages cooperation in the opposing issue area.

Towards the Systematic Development of Marketing Students’ Creativity

Many university marketing students feel uncomfortable about developing creative thinking skills during college. However, they will soon graduate and face a need to utilize their creative abilities and contribute to their organizations. Therefore, this article provides a wide range of strategies to develop students’ creative abilities in marketing classes. It uses Gagné’s classical Nine Instructional Events (i.e., Gagné et al., 2005) to develop the strategies because Gagné systematically and comprehensively examines how to develop effective instructional stages across the entire learning process. The article also focuses on developing specific strategies to help students build creative competencies for very different teaching modes, such as asynchronous and synchronous online, HyFlex, and conventional face-to-face classes. By developing strategies for different modes, the instructor will be able to have comparative insight into how to adjust marketing courses to maximally stimulate students’ creativity, regardless of the type of course.

Development and implementation of self-care strategies in undergraduate music therapy students: A qualitative thematic analysis

ABSTRACT Introduction Music therapy students may encounter a variety of stressors throughout their undergraduate careers and require self-care strategies to maintain their health and wellbeing. To date, there is a dearth of literature regarding self-care strategies for undergraduate music therapy students. Understanding the development and implementation of self-care strategies in undergraduate music therapy students may enable students, their peers, professors, and institutions to better support students throughout their academic careers. Therefore, the purpose of this interpretivist study was to understand how undergraduate music therapy students in the United States of America develop and implement self-care strategies. Method We conducted semi-structured interviews with nine undergraduate music therapy students at public universities geographically located in four regions of the American Music Therapy Association. Results We used an inductive approach to thematic analysis to analyze data and identified six themes: (a) Recognizing the need to shift to intentional self-care; (b) Developing an awareness of how and when to use self-care strategies; (c) Identifying specific strategies to support the self-care journey; (d) Circumstances impacting self-care; (e) Adjusting music as a self-care strategy; and (f) Advice for music therapy students and professors. We developed a model to depict the sequence of and relationships among themes. Discussion This study provides an understanding of the processes and products of undergraduate music therapy students’ self-care strategies. We recommend integrating self-care into the music therapy curriculum as early as possible and empowering students with agency and autonomy to determine the best proactive and reactive strategies to maintain their health and wellbeing.

‘‘If You don’t Feel Empowered, Then How are You Going to Empower Someone else?” Perspectives of Executive Directors and Supervisors on Community Health Worker Workforce Development

ABSTRACT Expansion of the Community Health Worker (CHW) workforce has become a national priority. It is critical to understand CHW strengths and individual challenges, associated professional development needs, and specific strategies that may meet needs from the perspectives of those who employ, manage, and supervise this growing workforce. Through a community-partnership with eight member organizations of the Association of Perinatal Networks of New York, we conducted two focus groups with 7 Executive Directors and 6 CHW Supervisors. Data were analyzed according to the six steps of thematic analysis. Analyses revealed seven salient themes across three superordinate categories of strengths, individual challenges, and mechanisms of support. CHWs are a critical component of the US health workforce. Challenges related to navigating boundaries, use of empowerment-focused approaches and effective documentation require skills-based training and trauma-informed workplace-based supports. Supervision is an effective mechanism through which CHWs receive support needed to optimize job performance.

Identifying central elements of the therapeutic alliance in the setting of telerehabilitation: A qualitative study.

Therapeutic alliance is a relevant aspect of healthcare and may influence patient outcomes. So far, little is known about the therapeutic alliance in telerehabilitation. To identify and describe central elements of therapeutic alliance in the setting of telerehabilitation and compare it to those in conventional rehabilitation. In this qualitative study, a literature search and in-depth semi-structured interviews with rehabilitation and telerehabilitation experts were conducted from 15.5.-10.8.2020 on elements influencing the therapeutic alliance in rehabilitation and telerehabilitation. Using a combined deductive and inductive approach, qualitative content analysis was used to identify categories and derive central themes. The elements bond, communication, agreement on goals and tasks and external factors were identified in the literature search and informed the development of the interview guide. Twelve purposively sampled experts from the fields of physiotherapy, occupational therapy, speech and language therapy, psychology, general medicine, sports science and telerehabilitation software development participated in the interviews. We identified three central themes: building effective communication; nurturing a mutual relationship of trust and respect; and agreement on goals and tasks and drivers of motivation. In this qualitative study, key elements of therapeutic alliance in rehabilitation confirmed those reported in the literature, with additional elements in telerehabilitation comprising support from others for ensuring physical safety and technical connectedness, caregivers acting as co-therapists and applying professional touch, and promoting patient autonomy and motivation using specific strategies.

[Effect of Vegetation Restoration on Soil Organic Carbon Storage in Coal Mining Areas Based on Meta-analysis].

Coal mining is the world's primary means of coping with an increasing energy demand. However, with the mining of coal, the regional ecosystem has been damaged to varying degrees, resulting in a decrease in the "carbon sink" capacity. Vegetation restoration is the basis for the restoration of degraded ecosystems and carbon sequestration functions in mining areas. However, no systematic studies have been conducted on the effects of vegetation restoration on soil organic carbon in coal mining areas on a global scale. Therefore, it is not possible to accurately predict the response of the global SOC pool to vegetation restoration. In this study, soil physicochemical properties of vegetation restoration were collected from 112 peer-reviewed articles to assess the effects of vegetation restoration type, soil depth, restoration year, mean annual temperature, annual precipitation, and elevation on soil organic carbon in coal mining areas and to identify relevant key drivers. The results showed that the damaged coal mine area could significantly improve the physicochemical properties of the soil through vegetation restoration. The restored soils had 39.02% higher SOC reserves compared to that in unrestored or naturally restored soils. When environmental factors were not considered, the vegetation restoration types that were favorable for SOC stock accumulation were cropland > woodland > grassland > shrubland. All four types of vegetation restoration significantly increased the SOC storage in the surface layer (0-20 cm). Grassland and shrubs significantly increased SOC storage at depth (>40 cm), whereas SOC storage at depth under woodland and farmland types was not significantly different from SOC storage after unrestored or natural restoration. The increasing trend of SOC storage after vegetation restoration decreased with increasing soil depth. The specific vegetation restoration strategy should select the appropriate vegetation type according to the climatic conditions. The types of vegetation restoration with higher carbon sequestration effects in damaged coal mining areas with mean annual temperature <0℃ and mean annual precipitation <500 mm were grassland or shrubland. In contrast, woodland and cropland restoration types could better increase SOC storage in environments with mean annual temperature >15℃ and annual precipitation >800 mm. TN, BD, AN, and AK were the main factors influencing the ability to affect soil carbon sequestration. This study can provide a theoretical reference for quantifying the carbon sequestration effects of different vegetation restoration measures in damaged coal mining areas and the restoration and reconstruction of degraded ecosystems.

Acute opioid overdose in pediatric patients.

Recent increases in pediatric and adolescent opioid fatalities mandate an urgent need for early consideration of possible opioid exposure and specific diagnostic and management strategies and interventions tailored to these unique populations. In contrast to adults, pediatric methods of exposure include accidental ingestions, prescription misuse, and household exposure. Early recognition, appropriate diagnostic evaluation, along with specialized treatment for opioid toxicity in this demographic are discussed. A key focus is on Naloxone, an essential medication for opioid intoxication, addressing its unique challenges in pediatric use. Unique pediatric considerations include recognition of accidental ingestions in our youngest population, critical social aspects including home safety and intentional exposure, and harm reduction strategies, mainly through Naloxone distribution and education on safe medication practices. It calls for a multifaceted approach, including creating pediatric-specific guidelines, to combat the opioid crisis among children and to work to lower morbidity and mortality from opioid overdoses.

The Genetic Architecture of the Root System during Seedling Emergence in Populus euphratica under Salt Stress and Control Environments

The growth of the Populus euphratica root system is of great significance for its survival under adverse environmental stress. In harsh saline-stress environments, the proportion, morphology, and functionality of the taproots and lateral roots and how they manifest specific adaptive structures, growth strategies, and potential genetic controls are still subjects for further exploration. In this study, we delve into the fundamental patterns and trade-offs of root morphology and functionality by constructing an environment-induced differential interaction equation (EDIE) to model the independent and interactive growth of the root system while considering the influence of environmental conditions. We identify 93 key QTLs in the control group and 44 key QTLs in the salt-stress group, of which 2 QTLs are significant in both environments. By constructing ODE-based QTL networks, we explore in depth how these loci regulate the growth of the root system under different environmental conditions while considering their independent direct effects and epistatic effects among loci. This study elucidates the intrinsic factors that influence the variations in taproots and lateral roots, providing crucial insights into the relationship between root morphology and functionality.

“Belief Initiates and Guides Action—Or it Does Nothing”: An Exploration of the Political Functions of Watching and Reading Dystopian Fiction

This article addresses the question of how dystopian fiction can produce civic and ideological connections among audiences. To this end, we have drawn from different theoretical perspectives on public connectivity to show how audience involvement with fictional entertainment can forge clear links with the political sphere. In short, we offer a qualitative reception study that has yielded six features of dystopias: cognition, rejection of socially negative themes, warning, speculation, ideology, and narcosis. These features are empirically grounded in extensive qualitative research. Finally, based on the participants’ responses, we have proposed a specific reception strategy for the dystopian genre: dystopian imaginative engagement.