bluuebunny/crossref_metadata_2025_split huggingface dataset:
Caregiver Perspectives on Telehealth Assessment and Other Supports for Infants with Early Developmental Concerns
Authors: Schmidt Daltrey , Urias Chloe , Dufek Sarah , Talbott Meagan R. 
Published: July 2024

AbstractThis study examined the experiences of families of children with developmental concerns in the first year of life, before formal diagnostic evaluations are typically conducted. We aimed to understand the impact of participation in a telehealth-based research evaluation in infancy, identify existing community-based supports perceived favorably by caregivers, and identify suggestions for future directions. Participants were recruited from an prior study evaluating a telehealth assessment for infants with early social communication delays. Here, we interviewed caregivers (n = 19) who participated in follow-up study in toddlerhood. Transcripts from the semi-structured interviews were transcribed and analyzed using both inductive thematic and content coding approaches. Analysis of these interviews resulted in four core themes describing caregiving during this time: (1) Caregivers felt lonely, overwhelmed, and dismissed by providers, leading to feelings of uncertainty about their child’s development and future; (2) Telehealth assessments were appreciated because external supports are minimal, complex to navigate, and do not address all areas of need; (3) Desire for additional community and connection; and (4) Information is power. Caregivers reported participating in the telehealth assessments helped them to feel reassured, validated and supported. Outside the study, they sought a wide variety of services and resources. The most frequent requests were for parent coaching sessions and family navigation. Caregivers experienced uncertainty and disempowerment during the pre-diagnostic period and sought education and guidance during this time. Findings reflect the importance of centering family priorities when developing early intervention services for infants with elevated likelihood of autism.
Incidental ablation of ganglionated plexus during atrial fibrillation ablation
Authors: Keane Stephen , Patel Darshak , Otto Brian , Englander Lily , Kumareswaran Ramanan , Lin David , Riley Michael P. , Nazarian Saman , Marchlinski Francis E. , Markman Timothy M. 
Published: July 2024

Abstract
Background
Cardioneuroablation targeting the autonomic nerves within ganglionated plexus (GP) has been used to treat atrial fibrillation (AF). Incidental cardioneuroablation may be an important mechanism by which pulmonary vein isolation (PVI) is effective. Automated fractionation mapping software can identify regions of fractionation correlating with GP locations.

Objective
To examine the overlap between standard PVI ablation lesions and fractionated electrograms suggestive of GP.

Methods
We retrospectively examined AF ablations performed from 2021 to 2023 that included only PVI performed using wide antral circumferential isolation without prospective evaluation of fractionation. Retrospectively, a fractionation map was created (width 10 ms, refractory time 30 ms, roving sensitivity 0.1 mv, and threshold of 2). We evaluated the anatomic overlap between PVI lesions and fractionation in regions associated with GP.

Results
Among 52 patients (mean 65 (IQR 46–74) years, 82% male, and 69% paroxysmal AF), sites of fractionation corresponding to GP locations were seen in all cases. PVI ablation incidentally overlapped with fractionation in 50 (96%) patients. On average, 26% of the fractionation corresponding with GP locations were incidentally ablated. The highest proportion of fractionated areas were ablated in the left superior (36%) and right superior (31%) GP regions. More complete incidental ablation of these regions was associated with a greater intraprocedural increase in heart rate (ρ = 0.46, p < 0.001), which was subsequently associated with freedom from AF during 15.9 ± 5.2 months of follow-up.

Conclusion
Patients undergoing AF ablation universally have fractionated electrograms corresponding to anticipated sites of GP. Partial ablation of these regions frequently occurs incidentally during PVI.

Graphical Abstract
Intraoperative somatosensory evoked potential (SEP) monitoring: an updated position statement by the American Society of Neurophysiological Monitoring
Authors: Toleikis J. Richard , Pace Christopher , Jahangiri Faisal R. , Hemmer Laura B. , Toleikis Sandra C. 
Published: July 2024

AbstractSomatosensory evoked potentials (SEPs) are used to assess the functional status of somatosensory pathways during surgical procedures and can help protect patients’ neurological integrity intraoperatively. This is a position statement on intraoperative SEP monitoring from the American Society of Neurophysiological Monitoring (ASNM) and updates prior ASNM position statements on SEPs from the years 2005 and 2010. This position statement is endorsed by ASNM and serves as an educational service to the neurophysiological community on the recommended use of SEPs as a neurophysiological monitoring tool. It presents the rationale for SEP utilization and its clinical applications. It also covers the relevant anatomy, technical methodology for setup and signal acquisition, signal interpretation, anesthesia and physiological considerations, and documentation and credentialing requirements to optimize SEP monitoring to aid in protecting the nervous system during surgery.
Incidence Rates and Predictors of Recurrent Long-Term Mental Sickness Absence Due to Common Mental Disorders
Authors: Mulder Matthew , Kok Robin , Aben Bart , de Wind Astrid 
Published: July 2024

Abstract
Purpose
Several predictors have been identified for mental sickness absence, but those for recurrences are not well-understood. This study assesses recurrence rates for long-term mental sickness absence (LTMSA) within subgroups of common mental disorders (CMDs) and identifies predictors of recurrent LTMSA.

Methods
This historical prospective cohort study used routinely collected data from 16,310 employees obtained from a nationally operating Dutch occupational health service (ArboNed). Total follow-up duration was 23,334 person-years. Overall recurrence rates were assessed using Kaplan–Meier estimators. Recurrence rates within subgroups of CMDs were calculated using person-years. Univariable and multivariable Cox proportional hazards models were used to identify predictors.

Results
15.6% of employees experienced a recurrent LTMSA episode within three years after fully returning to work after a previous LTMSA episode. Highest recurrence rates for LTMSA were observed after a previous LTMSA episode due to mood or anxiety disorders. Mood or anxiety disorders and shorter previous episode duration were predictors of recurrent LTMSA. No associations were found for age, gender, company size, full-time equivalent and job tenure.

Conclusion
Employees should be monitored adequately after they fully returned to work after LTMSA. It is recommended to monitor high-risk employees (i.e. employees with mood or anxiety disorders and short LTMSA episode) more intensively, also beyond full return to work. Moreover, diagnosis of anxiety and depressive symptoms should be given a higher priority in occupational healthcare.
Analyzing digital communication: a comprehensive literature review
Authors: Strauss Christina , Harr Michael Dominic , Pieper Torsten M. 
Published: July 2024

AbstractDigital communication has become an essential part of both personal and professional contexts. However, unique characteristics of digital communication—such as lacking non-verbal cues or time asynchrony—clearly distinguish this new form of communication from traditional face-to-face communication. These differences raise questions about the transferability of previous findings on traditional communication to the digital communication context and emphasize the need for specialized research. To support and guide research on the analysis of digital communication, we conducted a systematic literature review encompassing 84 publications on digital communication in leading journals. By doing so, we provide an overview of the current body of research. Thereby, we focus on distinct fields of communication, methods used to collect and analyze digital communication data, as well as common methodological limitations. Building on these insights, we derive a series of comprehensive guidelines from five distinct areas for the collection and analysis of digital communication that can guide future research and organizational practice.
Suicide Attempt and Its Correlates Among School-Going Argentinian Adolescents with Suicidal Thoughts: Insights from a National Survey
Authors: Dadras Omid 
Published: July 2024

AbstractA combination of personal, psychological, and environmental factors contributes to the risk of suicide attempts among those with suicidal thoughts and warrants further research. The study explored the associations of demographic, psychosocial, and behavioral factors with suicide attempts among a nationally representative of school-going Argentinian adolescents who have suicidal thoughts. The study analyzed the data from the Argentina Global School-based Students Survey 2018. The sample was restricted to adolescents with suicidal thoughts. The chi-square test was used to examine the association, and logistic regression determined the odds of suicide attempts across risk factors including demographic factors, psychosocial and environmental risks, as well as substance use and risk sex behaviors. In total, 11,962 (21.46%) of school-going Argentinian adolescents had suicidal thoughts, of whom 6033 (51.67%) had suicide attempts at least once in the last 12 months. Findings indicated that female adolescents had higher odds of attempts, paralleling global trends, while grade differences suggested a transitional phase’s significance. Among those with suicidal thoughts, psychosocial factors like loneliness, bullying, and school absenteeism played pivotal roles in enhancing the odds of suicide attempts. In addition, substance use, notably marijuana, amphetamines, alcohol, and early initiation were associated with a heightened risk of suicide attempts. Risky sexual behaviors, like early activity and multiple partners, were also associated with a higher likelihood of suicide attempts in suicide ideators. Emphasizing preventive measures targeting adolescents, particularly within school settings, is crucial for reducing suicide attempts among those experiencing suicidal thoughts.
Progress in reeducating tumor-associated macrophages in tumor microenvironment
Authors: Zhao Yiming , Ni Qianyang , Zhang Weijian , Yu Suyang 
Published: July 2024

AbstractMalignant tumor, one of the most threatening diseases to human health, has been comprehensively treated with surgery, radiotherapy, chemotherapy and targeted therapy, but the prognosis has not always been ideal. In the past decade, immunotherapy has shown increased efficacy in tumor treatment; however, for immunotherapy to achieve its fullest potential, obstacles are to be conquered, among which tumor microenvironment (TME) has been widely investigated. In remodeling the tumor immune microenvironment to inhibit tumor progression, macrophages, as the most abundant innate immune population, play an irreplaceable role in the immune response. Therefore, how to remodel TME and alter the recruitment and polarization status of tumor-associated macrophages (TAM) has been of wide interest. In this context, nanoparticles, photodynamic therapy and other therapeutic approaches capable of affecting macrophage polarization have emerged. In this paper, we categorize and organize the existing means and methods for reprogramming TAM to provide ideas for clinical application of novel tumor-related therapies.
Quasi-framelets: robust graph neural networks via adaptive framelet convolution
Authors: Yang Mengxi , Shi Dai , Zheng Xuebin , Yin Jie , Gao Junbin 
Published: July 2024

Abstract
This paper aims to provide a novel design of a multiscale framelet convolution for spectral graph neural networks (GNNs). While current spectral methods excel in various graph learning tasks, they often lack the flexibility to adapt to noisy, incomplete, or perturbed graph signals, making them fragile in such conditions. Our newly proposed framelet convolution addresses these limitations by decomposing graph data into low-pass and high-pass spectra through a finely-tuned multiscale approach. Our approach directly designs filtering functions within the spectral domain, allowing for precise control over the spectral components. The proposed design excels in filtering out unwanted spectral information and significantly reduces the adverse effects of noisy graph signals. Our approach not only enhances the robustness of GNNs but also preserves crucial graph features and structures. Through extensive experiments on diverse, real-world graph datasets, we demonstrate that our framelet convolution achieves superior performance in node classification tasks. It exhibits remarkable resilience to noisy data and adversarial attacks, highlighting its potential as a robust solution for real-world graph applications. This advancement opens new avenues for more adaptive and reliable spectral GNN architectures.
Effect of scandium concentration on the performances of cantilever based AlN unimorph piezoelectric energy harvester with silicon nitride substrate
Authors: Sultana Tasnia , Gani Manjurul , Shultana Sharmin , Al Miraj Abdullah , Uddin Asif Mahbub , Chakrabartty Joyprokash 
Published: July 2024

AbstractMicroelectromechanical systems (MEMS) offer its ability to sense, control and actuate on sub-micron scale and exhibit its effect on macro scale. To implement any specific MEMS system, small, efficient and long-lifespan micro power sources are required. Piezoelectric energy harvester (PEH) along with radioactive source is one of the most promising approaches to harness electrical energy at micro to millimeter range. In this report, a scandium (Sc) doped Aluminium Nitride (AlN) unimorph piezoelectric energy harvester has been demonstrated. Unimorph piezoelectric layer is built on Silicon Nitride (Si3N4) substrate platform that act as cantilever beam and that can be vibrated by inbuilt radioactive system. In particular, Si3N4 as cantilever material and the impact of Sc doping concentration on electrical and mechanical properties of AlN piezoelectric thin film materials have been studied in MATLAB simulation platform. Results obtained from numerical study suggests that the proposed energy harvester model composed of AlScN unimorph piezoelectric (with 10% Sc doping concentration, Sc-10%) layer and Si3N4 cantilever can yield a maximum power output of ~ 19.33 μW and overall mechanical energy conversion efficiency of ~ 91.07%. These are the maximum output power and mechanical energy conversion efficiency numerically obtained from Sc doped AlN piezoelectric energy harvester systems to the best of our knowledge.
Parameter determination of Johnson–Holmquist–Cook constitutive model and calibration for Indiana Limestone
Authors: Heydari Mahdi , Farrokh Ebrahim , Khoshrou Seyed Hasan 
Published: July 2024

AbstractIn this study, a comprehensive parameter determination procedure for the Johnson–Holmquist–Cook (JHC) constitutive model is introduced, including calibration and validation processes for Indiana Limestone rocks. The procedure is conducted utilizing the existing physical and mechanical properties of Indiana Limestone. To obtain an accurate set of parameters for the JHC model for Indiana Limestone, an extensive dataset comprising mechanical and physical properties of Indiana Limestone rocks was initially compiled. The static mechanical tests incorporated uniaxial compression, triaxial compression, direct tensile, and uniaxial strain data, while the dynamic mechanical test data was primarily derived from the Split Hopkinson Pressure Bar experiments. Subsequently, the JHC constitutive model parameters were determined using existing literature data, employing statistical analysis, theoretical derivation, and numerical back analysis techniques. One of the damage parameters was determined through numerical post-peak behavior calibration of triaxial compression strength test results on experimental data. Finally, the accuracy of the determined parameters was validated by comparing the numerical and experimental results of both static and dynamic tests. This study effectively addresses the challenges associated with the numerical method using the JHC material model, such as the complex parameter determination process and the costly required tests, thereby preserving the efficiency and applicability of the numerical method.
Numerical Simulation of Kink Collisions, Analytical Solutions and Conservation Laws of the Potential Korteweg–de Vries Equation
Authors: Khalique Chaudry Masood , Olivier Carel , Sebogodi Boikanyo Pretty 
Published: July 2024

Abstract
In this study, we investigate the nonlinear potential Korteweg–de Vries equation (pKdVe) by making use of the Lie group analysis. We start by constructing Lie symmetries and thereafter utilize them to execute symmetry reductions of pKdVe. We then obtain solutions of the pKdVe by using the direct integration method. The obtained solutions are demonstrated in respect of Jacobi elliptic functions. Some of the obtained solutions are illustrated graphically. Moreover, we obtain four conserved vectors of the pKdVe by making use of the multiplier method and five conserved vectors by using the theorem owing to Ibragimov. Finally, we simulate collisions between kinks for the pKdVe.
Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI
Authors: Cao Longbing 
Published: July 2024

AbstractThe X-AI age is characterized by the synergy of diverse forms of intelligence-human, natural, social, and artificial (AI). It represents an ecosystem of comprehensive AI paradigms and the flourishing development of deep learning, large language models, and generative AI applications. X-AI reignites the debate on fundamental AI questions: What is AI? What constitutes machine intelligence? What are the implications when AI integrates with business and technology in the new era of artificial general intelligence and human-like AI? This article aims to inspire critical thinking, debate, and discussion on this new era of AI meeting technology, shaping AI4Tech through X-AI enabling X-Tech. We explore the ecosystems of X-AI and X-Tech and the general and domain-specific AI4Tech areas. X-AI enabling X-Tech nurtures a new age of smart businesses and intelligent technologies. The synergy between conventional, human-like, generative, decentralized, humanoid, and metaverse AI unlocks the potential to overcome previous limitations, impossibilities, unknowns, and dreams of AI and technology.
Municipal Solid Waste Management and Health Risks: Application of Solid Waste Safety Plan in Novi Sad, Serbia
Authors: Vinti Giovanni , Batinić Bojan , Bauza Valerie , Clasen Thomas , Tudor Terry , Zurbrügg Christian , Vaccari Mentore 
Published: July 2024

AbstractInadequate solid waste management (SWM) can cause environmental contamination and health risks. Minimizing the health risks from SWM practices requires the identification of linkages between potential sources of exposure, environmental transport pathways, and adverse health outcomes. A safety planning approach can represent an innovative tool for reducing such risks. In previous research, we introduced the solid waste safety plan (SWSP) concept, only focusing on the health risk ranking assessment matrix. Here, we demonstrate the application of the SWSP framework in a case study of the municipal landfill of Novi Sad, Serbia. We identify potential hazards and assessed the likelihood and severity for them, using a combination of quantitative and semi-quantitative approaches to estimate risk levels for each identified hazard. Hazards deemed high and very high risks for the community and workers include groundwater contamination from leachate, airborne contaminants from combustion and non-combustion processes, and worker injuries associated with waste combustion. Control measures for each are identified, together with a corresponding cost analysis. Adding a final top cover to the landfill and introducing a collection, transport, and treatment system for the biogas would address hazards presenting high health risks but are also among the highest costs. While we demonstrate the approach and utility of an SWSP in a research context, future work is needed to assess the use of the SWSP by local communities or SWM utilities.
Parametric estimation of stochastic differential equations via online gradient descent
Authors: Nakakita Shogo 
Published: July 2024

AbstractWe propose an online parametric estimation method of stochastic differential equations with discrete observations and misspecified modelling based on online gradient descent. Our study provides uniform upper bounds for the risks of the estimators over a family of stochastic differential equations. Theoretical guarantees for the estimation of stochastic differential equations with discrete observations by online gradient descent are novel to our best knowledge.
Spice and herb oil as potential alternative to agrochemicals in postharvest management of fruits and vegetables
Authors: Muthusamy Lokesh , Balakumbahan R. , Rajangam J. , Sathiyamurthi S. , Anitha T. , Muthusamy Dharani , Velmurugan T. 
Published: July 2024

AbstractFresh fruits and vegetables are susceptible to several diseases caused by many phytopathogenic microbes which affect their shelf life and quality especially after harvesting. To control these postharvest diseases, the use of synthetic agrochemicals are found to be effective but their phytotoxicity has created a great concern on consumer’s health, environment and food security. The continuous application of synthetic agrochemicals have found to be developing resistance to several pathogen populations. Currently, many importing countries enforce strict regulations on the minimal pesticide residual levels in the edible part of fresh produce. All these reasons mentioned above have necessitated to search for the natural and novel formulations as alternatives to replace the conventional chemical application during postharvest treatments. A novel approach to manage the postharvest losses, while retaining the fruit quality, has been implemented by the use of essential oils like cinnamon oil, thyme oil extracted from spices and herbs. This strategy eliminates the need for the use of synthetic formulations, thereby ensuring the global food security. Therefore, this review aims to emphasize the potential use of spice and herb oils as green alternative and as well as protective agents, their mode of action, method of application and their potential challenges by implementing in postharvest management of fruits and vegetables.