bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neurogenic orthostatic hypotension in Parkinson’s disease: is there a role for locus coeruleus magnetic resonance imaging?
Authors: Palermo Giovanni , Galgani Alessandro , Bellini Gabriele , Lombardo Francesco , Martini Nicola , Morganti Riccardo , Paoli Davide , De Cori Sara , Frijia Francesca , Siciliano Gabriele , Ceravolo Roberto , Giorgi Filippo Sean 
Published: November 2023

AbstractLocus coeruleus (LC) is the main noradrenergic nucleus of the brain, and degenerates early in Parkinson’s disease (PD). The objective of this study is to test whether degeneration of the LC is associated with orthostatic hypotension (OH) in PD. A total of 22 cognitively intact PD patients and 52 age-matched healthy volunteers underwent 3 T magnetic resonance (MRI) with neuromelanin-sensitive T1-weighted sequences (LC-MRI). For each subject, a template space-based LC-MRI was used to calculate LC signal intensity (LC contrast ratio—LCCR) and the estimated number of voxels (LCVOX) belonging to LC. Then, we compared the LC-MRI parameters in PD patients with OH (PDOH+) versus without OH (PDOH−) (matched for sex, age, and disease duration) using one-way analysis of variance followed by multiple comparison tests. We also tested for correlations between subject’s LC-MRI features and orthostatic drop in systolic blood pressure (SBP). PDOH− and PDOH+ did not differ significantly (p > 0.05) based on demographics and clinical characteristics, except for blood pressure measurements and SCOPA-AUT cardiovascular domain (p < 0.05). LCCR and LCVOX measures were significantly lower in PD compared to HC, while no differences were observed between PDOH− and PDOH+. Additionally, no correlation was found between the LC-MRI parameters and the orthostatic drop in SBP or the clinical severity of autonomic symptoms (p > 0.05). Conversely, RBD symptom severity negatively correlated with several LC-MRI parameters. Our results failed to indicate a link between the LC-MRI features and the presence of OH in PD but confirmed a marked alteration of LC signal in PD patients.
Benchmarking of bioinformatics tools for NGS-based microRNA profiling with RT-qPCR method
Authors: Pawlina-Tyszko Klaudia , Szmatoła Tomasz 
Published: November 2023

AbstractMicroRNAs are vital gene expression regulators, extensively studied worldwide. The large-scale characterization of miRNAomes is possible using next-generation sequencing (NGS). This technology offers great opportunities, but these cannot be fully exploited without proper and comprehensive bioinformatics analysis. This may be achieved by the use of reliable dedicated software; however, different programs may generate divergent results, leading to additional discrepancies. Thus, the aim of this study was to compare three bioinformatic algorithms dedicated to NGS-based microRNA profiling and validate them using an alternative method, namely RT-qPCR. The comparison analysis revealed differences in the number and sets of identified miRNAs. The qPCR confirmed the expression of the investigated microRNAs. The correlation analysis of NGS and qPCR measurements showed strong and significant coefficients for a subset of the tested miRNAs, including those detected by all three algorithms. Single miRNA variants (isomiRs) showed different levels of correlation with the qPCR data. The obtained results revealed the good performance of all tested programs, despite the observed differences. Moreover, they implied that some specific miRNAs may be differentially estimated using NGS technology and the qPCR method, regardless of the used bioinformatics software. These discrepancies may stem from many factors, including the composition of the isomiR profile, their abundance, length, and investigated species. In conclusion, in this study, we shed light on the bioinformatics aspects of miRNAome profiling, elucidating its complexity and pinpointing potential features influencing validation. Thus, qPCR validation results should be open to interpretation when not fully concordant with NGS results until further, additional analyses are conducted.
Approximation of curve-based sleeve functions in high dimensions
Authors: Beinert Robert 
Published: November 2023

AbstractSleeve functions are generalizations of the well-established ridge functions that play a major role in the theory of partial differential equation, medical imaging, statistics, and neural networks. Where ridge functions are non-linear, univariate functions of the distance to hyperplanes, sleeve functions are based on the squared distance to lower-dimensional manifolds. The present work is a first step to study general sleeve functions by starting with sleeve functions based on finite-length curves. To capture these curve-based sleeve functions, we propose and study a two-step method, where first the outer univariate function—the profile—is recovered, and second, the underlying curve is represented by a polygonal chain. Introducing a concept of well-separation, we ensure that the proposed method always terminates and approximates the true sleeve function with a certain quality. Investigating the local geometry, we study an inexact version of our method and show its success under certain conditions.
Introduction to Special Issue on Advancing Health Equity Among Black Communities
Authors: Debnam Katrina J. , Rodgers Caryn R. R. , Smith Paula 
Published: November 2023

AbstractThe current paper serves as an introduction to this special issue, Advancing Health Equity among Black Communities, in which we provide an overview of the papers included. Specifically, we summarize the papers covered in the special issue and highlight some of the common themes. The impetus for this special issue originated from a culmination of the COVID-19 pandemic, continued murders of Black people by police officers, and an unsettling political climate (e.g., Galea & Abdalla, 2020). While the impact of individual racism has been studied extensively, the insidious and pervasive impact of structural racism is less understood. Structural racism is a system in which embedded values, practices and policies facilitate and perpetrate the continued differential treatment of people based on race and becomes an almost hidden influence on the way an institution functions. For this special issue, prevention scientists were invited to submit conceptual and empirical research reflecting their understandings of structural racism as it operates in U.S. systems (e.g., education, justice, housing, workforce) and contributes to health inequities in the lives of Black Americans. The submissions also demonstrate how prevention scientists can leverage translational science to impact policies, practices, and procedures to promote equitable and sustainable change for Black communities.
Building Long-Term Human–Robot Relationships:
Examining Disclosure, Perception and Well-Being Across Time
Authors: Laban Guy , Kappas Arvid , Morrison Val , Cross Emily S. 
Published: November 2023

AbstractWhile interactions with social robots are novel and exciting for many
people, one concern is the extent to which people’s behavioural and emotional engagement
might be sustained across time, since during initial interactions with a robot, its
novelty is especially salient. This challenge is particularly noteworthy when
considering interactions designed to support people’s well-being, with limited evidence
(or empirical exploration) of social robots’ capacity to support people’s emotional
health over time. Accordingly, our aim here was to examine how long-term repeated
interactions with a social robot affect people’s self-disclosure behaviour toward the
robot, their perceptions of the robot, and how such sustained interactions influence
factors related to well-being. We conducted a mediated long-term online experiment with
participants conversing with the social robot Pepper 10 times over 5 weeks. We found
that people self-disclose increasingly more to a social robot over time, and report the
robot to be more social and competent over time. Participants’ moods also improved after
talking to the robot, and across sessions, they found the robot’s responses increasingly
comforting as well as reported feeling less lonely. Finally, our results emphasize that
when the discussion frame was supposedly more emotional (in this case, framing questions
in the context of the COVID-19 pandemic), participants reported feeling lonelier and
more stressed. These results set the stage for situating social robots as conversational
partners and provide crucial evidence for their potential inclusion in interventions
supporting people’s emotional health through encouraging self-disclosure.
Management of patients with extensive locally advanced thyroid cancer: results of multimodal treatments
Authors: Prete A. , Pieroni E. , Marrama E. , Bruschini L. , Ferrari M. , Scioti G. , Aprile V. , Guarracino F. , Ambrosini C. E. , Molinaro E. , Elisei R. , Lucchi M. , Materazzi G. 
Published: November 2023

Abstract
Purpose
Surgery plays a key role in the treatment of thyroid cancer (TC) patients. Locally advanced cases, however, can require an extensive surgical approach with technical issues and a high risk of complications. In these cases, a multidisciplinary evaluation should be carried out to evaluate pros and cons. The aim of this study was to share our experience, as a multidisciplinary team, in the management of patients with locally advanced TC with a particularly extensive local disease, whose surgical approach could be challenging and part of a multimodal treatment.

Methods
We retrospectively evaluated clinical, surgical, and oncologic features of all patients with locally advanced TC who had undergone multidisciplinary surgery from January 2019 to June 2020.

Results
Six patients (two cases each of poorly differentiated, papillary, and medullary TC) were included. Four out of six were suffering from symptoms related to the advanced disease. At pre-surgical evaluation, a multidisciplinary team proposed extended surgery with radical intent via cervicotomy and sternotomy, considering other therapies not feasible or probably ineffective without it. No one passed away in intra- or perioperative time. At the end of follow-up (median 2.6 years), all patients presented a remission of symptoms due to the advanced disease, four patients were submitted to adjuvant therapies and only one patient died for a cause unrelated to the disease.

Conclusion
This series of very advanced TCs shows the effectiveness of a surgery performed by a multidisciplinary team in controlling symptoms, allowing adjuvant therapies, and improving the survival of patients whose cases would otherwise be very difficult to manage.
Recent Developments in Metallic Degradable Micromotors for Biomedical and Environmental Remediation Applications
Authors: Dutta Sourav , Noh Seungmin , Gual Roger Sanchis , Chen Xiangzhong , Pané Salvador , Nelson Bradley J. , Choi Hongsoo 
Published: November 2023

AbstractSynthetic micromotor has gained substantial attention in biomedicine and environmental remediation. Metal-based degradable micromotor composed of magnesium (Mg), zinc (Zn), and iron (Fe) have promise due to their nontoxic fuel-free propulsion, favorable biocompatibility, and safe excretion of degradation products Recent advances in degradable metallic micromotor have shown their fast movement in complex biological media, efficient cargo delivery and favorable biocompatibility. A noteworthy number of degradable metal-based micromotors employ bubble propulsion, utilizing water as fuel to generate hydrogen bubbles. This novel feature has projected degradable metallic micromotors for active in vivo drug delivery applications. In addition, understanding the degradation mechanism of these micromotors is also a key parameter for their design and performance. Its propulsion efficiency and life span govern the overall performance of a degradable metallic micromotor. Here we review the design and recent advancements of metallic degradable micromotors. Furthermore, we describe the controlled degradation, efficient in vivo drug delivery, and built-in acid neutralization capabilities of degradable micromotors with versatile biomedical applications. Moreover, we discuss micromotors’ efficacy in detecting and destroying environmental pollutants. Finally, we address the limitations and future research directions of degradable metallic micromotors.
Development of a passive strategy for buildings’ sustainability using green roofs techniques in Taif City, Saudi Arabia
Authors: Balabel Ashraf , El-Askary Wageeh , Alahmadi Ahmad , Alzaed Ali 
Published: November 2023

AbstractBuildings’ sustainability can strongly contribute towards meeting the Sustainable Development Goals which set forth a challenge for humanity in existing and modern Saudi societies. Recently, large numbers of initiatives and strategies have been recently developed and adopted with a focus on the green architecture which relates the real estate and clean energy industries in Saudi Arabia. This is considered as an important step to the diversity in the Saudi economy, which is not built on oil revenues and towards the achievement of Saudi Arabia’s vision 2030. Consequently, the application of different passive sustainability strategies in residential building projects, e.g., green roofs technology, can boost sustainable building ratings. In the present paper, the feasibility and probable health and environmental benefits associated with green roofs technology in Saudi residential buildings have been described. Moreover, different perspectives have been presented related to the green roofs industry, such as: types, recent technology, and the current challenges. In addition, the contributions of green roofs to the sustainable building’s certification via Saudi rating system, MOSTADAM, has been explored. The method adopted in the present research is based on relating the characteristics of the green roof technology and its environmental effects to the different categories of the “Mostadam” rating system. It is found that the green roofs technology can boost the sustainable building ratings through contribution to the major categories of MOSTADAM rating system a potential of 32% credits total. This encourages stakeholders to apply green roofs in Saudi residential buildings supporting the sustainable development goals of the Saudi government’s ongoing initiatives that advocates for more sustainable and resilient cities considering vision 2030. Moreover, the present study would assist the “Mostadam” responsible in evaluating the sustainable buildings projects and making the right decisions on such projects.
Developing a Novel Long Short-Term Memory Networks with Seasonal Wavelet Transform for Long-Term Wind Power Output Forecasting
Authors: Chen Kuen-Suan , Lin Ting-Yu , Lin Kuo-Ping , Chang Ping-Teng , Wang Yu-Chen 
Published: November 2023

AbstractLong-term wind power forecasting is a challenging endeavor that requires predictions that span years into the future. Accurate forecasting is crucial for optimizing energy production, grid integration, maintenance scheduling, and financial planning. This study attempts to first develop the long short-term memory networks (LSTM) with a seasonal wavelet transform forecasting model for practical long-term wind power forecasting problems with seasonal and regional influences on wind power and the instability of data signals. This model encapsulates wavelet transformation and seasonal decomposition, and employs LSTM for forecasting. The new prediction model adopted seasonal decompositions and two LSTMs to approach low- and high-frequency series datasets, as well as the wavelet synthesis prediction values. Furthermore, the parameters of the LSTM models are selected using stochastic optimization. For a comprehensive evaluation, the proposed LSTM with seasonal wavelet transform is compared with seven methods, including seasonal LSTM (SLSTM), wavelet LSTM (WLSTM), and the seasonal auto-regressive integrated moving average (SARIMA), back propagation neural network (BPNN), generalized regression neural network (GRNN), least square support vector regression (LSSVR), and support vector regression (SVR) were employed for long-term wind power output forecasting of wind farms. The empirical results underscore that the performance of the proposed forecasting model is better than other methods in terms of forecasting accuracy, which could efficiently provide reliable long-term predictions for long-term wind power output forecasting.
Observing glacier dynamics with low-cost, multi-GNSS positioning in Victoria Land, Antarctica
Authors: Still Holly , Odolinski Robert , Bowman M. Hamish , Hulbe Christina , Prior David J. 
Published: November 2023

Abstract
This study examines the performance of low-cost, low-power GNSS positioning systems for glacier monitoring in high-latitude environments. We compare the positioning performance of co-located low-cost u-blox ZED-F9P GNSS units (a few hundred USDs) and survey-grade Trimble R10 units (> $10,000 USD) under stationary (on land) and dynamic (on glacier) conditions near Terra Nova Bay, Antarctica. Low-cost and survey-grade systems yield almost identical error magnitudes under short (3 m), medium (34 km) and long (390 km) baseline kinematic-positioning scenarios. We further examined the efficacy of low-cost GNSS for glaciological applications by installing four u-blox and two Trimble receivers on Priestley Glacier to observe tide-modulated ice flexure. All receivers successfully detected subtle tidal oscillations with amplitudes < 3 cm, consistent with the predicted phasing from a tide model. These experiments offer a strong rationale for the widespread use of low-cost receivers to expand and densify GNSS monitoring networks, both in Antarctica and in glaciated regions worldwide.
Integrative taxonomy and phylogenetic relationships between representatives of genera within Merliniinae (Nematoda: Merliniidae), with new data on fourteen known and one unknown species
Authors: Hosseinvand M. , Eskandari A. , Azizi K. , Palomares-Rius J.E. , Castillo P. , Abolafia J. , Ghaderi R. , Helder J. , Qing X. 
Published: November 2023

Abstract
The application of integrative taxonomic approaches is useful to species delineation based on a combination of distinct types of characters, here morphological features and ribosomal DNA sequences. In this study, we surveyed ectoparasitic nematodes of the subfamily Merliniinae in cultivated and natural environments in Iran. Results of morphological and morphometrical studies, light and scanning electron microscopic observations, and molecular analyses allowed us the identification of fourteen known and one unknown species including representatives of the genera Amplimerlinius (five species), Geocenamus (one species), Merlinius (three species), Nagelus (two species), Paramerlinius (one species), Scutylenchus (two species), and Telomerlinius (one species). The unknown species, Scutylenchus sp., characterized by having 35–50 incisures at mid-body; lateral field with 6 longitudinal incisures; lip region slightly offset by a constriction, flattened at front end; bearing 5–7 annuli; cephalic framework not refractive; stylet robust, 18.3–27 μm long; post anal intestinal sac absent; tail elongate conical, dorsally convex, with 24 (19–28) annuli in ventral side, ending to a smooth terminus and males common; spicules 24.5–31 μm long. The phylogenetic analyses were carried out using molecular data from nuclear ribosomal DNA (rDNA) genes viz. D2–D3 expansion segments of the large ribosomal subunit (28S rRNA), partial small ribosomal subunit (18S rRNA), and internal transcribed spacer (ITS). The molecular variability of D2–D3 expansion segments of the 28S rRNA and partial 18S rRNA was low in this family in comparison to the ITS region, which could be a more helpful molecular marker in species and genus identification.
A prospective cohort study linking migration, climate, and malaria risk in the Peruvian Amazon
Authors: Gunderson Annika K. , Recalde-Coronel Cristina , Zaitchik Benjamin F. , Yori Pablo Peñataro , Rengifo Pinedo Silvia , Paredes Olortegui Maribel , Kosek Margaret , Vinetz Joseph M. , Pan William K. 
Published: November 2023

Abstract
Migration is an important risk factor for malaria transmission for malaria transmission, creating networks that connect Plasmodium between communities. This study aims to understand the timing of why people in the Peruvian Amazon migrated and how characteristics of these migrants are associated with malaria risk. A cohort of 2,202 participants was followed for three years (July 2006 - October 2009), with thrice-weekly active surveillance to record infection and recent travel, which included travel destination(s) and duration away. Migration occurred more frequently in the dry season, but the 7-day rolling mean (7DRM) streamflow was positively correlated with migration events (OR 1.25 (95% CI: 1.138, 1.368)). High-frequency and low-frequency migrant populations reported 9.7 (IRR 7.59 (95% CI:.381, 13.160)) and 4.1 (IRR 2.89 (95% CI: 1.636, 5.099)) times more P. vivax cases than those considered non-migrants and 30.7 (IRR 32.42 (95% CI: 7.977, 131.765)) and 7.4 (IRR 7.44 (95% CI: 1.783, 31.066)) times more P. falciparum cases, respectively. High-frequency migrants employed in manual labour within their community were at 2.45 (95% CI: 1.113, 5.416) times higher risk than non-employed low-frequency migrants. This study confirms the importance of migration for malaria risk as well as factors increasing risk among the migratory community, including, sex, occupation, and educational status.
Neurocognitive function and health-related quality of life in adolescents and young adults with CHD with pulmonary valve dysfunction
Authors: Zampi Jeffrey D. , Heinrich Kimberley P. , Bergersen Lisa , Goldstein Bryan H. , Batlivala Sarosh P. , Fuller Stephanie , Glatz Andrew C. , O’Byrne Michael L. , Marino Bradley , Afton Katherine , Lowery Ray , Yu Sunkyung , Goldberg Caren S. 
Published: November 2023

AbstractBackground:Neurocognitive impairment and quality of life are two important long-term challenges for patients with complex CHD. The impact of re-interventions during adolescence and young adulthood on neurocognition and quality of life is not well understood.Methods:In this prospective longitudinal multi-institutional study, patients 13–30 years old with severe CHD referred for surgical or transcatheter pulmonary valve replacement were enrolled. Clinical characteristics were collected, and executive function and quality of life were assessed prior to the planned pulmonary re-intervention. These results were compared to normative data and were compared between treatment strategies.Results:Among 68 patients enrolled from 2016 to 2020, a nearly equal proportion were referred for surgical and transcatheter pulmonary valve replacement (53% versus 47%). Tetralogy of Fallot was the most common diagnosis (59%) and pulmonary re-intervention indications included stenosis (25%), insufficiency (40%), and mixed disease (35%). There were no substantial differences between patients referred for surgical and transcatheter therapy. Executive functioning deficits were evident in 19–31% of patients and quality of life was universally lower compared to normative sample data. However, measures of executive function and quality of life did not differ between the surgical and transcatheter patients.Conclusion:In this patient group, impairments in neurocognitive function and quality of life are common and can be significant. Given similar baseline characteristics, comparing changes in neurocognitive outcomes and quality of life after surgical versus transcatheter pulmonary valve replacement will offer unique insights into how treatment approaches impact these important long-term patient outcomes.