bluuebunny/crossref_metadata_2025_split huggingface dataset:
Navigating narcolepsy: exploring coping strategies and their association with quality of life in patients with narcolepsy type 1
Authors: Varallo Giorgia , Franceschini Christian , Rapelli Giada , Zenesini Corrado , Baldini Valentina , Baccari Flavia , Antelmi Elena , Pizza Fabio , Vignatelli Luca , Biscarini Francesco , Ingravallo Francesca , Plazzi Giuseppe 
Published: May 2024

AbstractNarcolepsy type 1 (NT1) is a chronic neurological disorder characterized by symptoms such as excessive daytime sleepiness, sudden sleep episodes, disrupted nocturnal sleep, cataplexy, sleep paralysis, and hypnagogic hallucinations, which significantly impact the overall well-being and quality of life of individuals. While psychological factors have gained attention, there is limited research on the coping strategies employed by patients with NT1 and their association with quality of life. This study aimed to compare coping strategies in patients with NT1 and controls, as well as assess the relationship between coping strategies and quality of life in patients with NT1. A total of 122 individuals diagnosed with NT1 and 138 controls were enrolled in this cross-sectional study. Participants completed questionnaires assessing coping strategies and health-related quality of life. A Mann–Whitney U test was conducted to compare the use of different coping strategies by patients with NT1 and controls. Spearman's rho correlation was performed to examine the association between coping strategies and quality of life in the NT1 group. Results showed that patients with NT1 exhibited differences in the use of coping strategies compared to controls. They reported lower use of active coping, planning, instrumental, and emotional social support, and higher use of behavioral and mental disengagement. Denial and behavioral disengagement were significantly and negatively associated with quality of life. Identifying coping strategies and their association with quality of life may aid in the development of tailored interventions aimed at improving the adoption of effective coping strategies and reducing the use of maladaptive coping strategies.
Exploring the potential applications of lead-free organic–inorganic perovskite type [NH3(CH2)nNH3]MCl4 (n = 2, 3, 4, 5, and 6; M = Mn, Co, Cu, Zn, and Cd) crystals
Authors: Lim Ae Ran 
Published: May 2024

AbstractThe organic–inorganic hybrid perovskite compounds have been extensively studied since the dawn of a new era in the field of photovoltaic applications. Up to now, perovskites have proven to be the most promising in terms of power conversion efficiency; however, their main disadvantages for use in solar cells are toxicity and chemical instability. Therefore, it is essential to develop a hybrid perovskite that can be replaced with lead-free materials. This review focuses on the possibility of applying lead-free organic–inorganic perovskite types [NH3(CH2)nNH3]MCl4 (n = 2, 3, 4, 5, and 6; M = Mn, Co, Cu, Zn, and Cd) crystals. We are seeking organic–inorganic hybrid perovskite materials with very high temperature stability or without phase transition temperature, and thermal stability. Thus, by considering the characteristics according to the methylene lengths and the various transition metals, we aim to identify improved materials meeting the criteria mentioned above. Consequently, the physicochemical properties of organic–inorganic hybrid perovskite [NH3(CH2)nNH3]MCl4 regarding the effects of various transition metal ions of the anion and the methylene lengths of the cation are expected to promote the development and application of lead-free hybrid perovskite solar cells.
The vomeronasal organ and incisive duct of harbor seals are modified to secrete acidic mucus into the nasal cavity
Authors: Kondoh Daisuke , Tonomori Wataru , Iwasaki Ryota , Tomiyasu Jumpei , Kaneoya Yuka , Kawai Yusuke K. , Ikuta Shun , Kobayashi Hayao , Kobayashi Mari 
Published: May 2024

AbstractMost terrestrial mammals have a vomeronasal system to detect specific chemicals. The peripheral organ of this system is a vomeronasal organ (VNO) opening to the incisive duct, and its primary integrative center is an accessory olfactory bulb (AOB). The VNO in seals is thought to be degenerated like whales and manatees, unlike otariids, because of the absence of the AOB. However, olfaction plays pivotal roles in seals, and thus we conducted a detailed morphological evaluation of the vomeronasal system of three harbor seals (Phoca vitulina). The VNO lumen was not found, and the incisive duct did not open into the oral cavity but was recognized as a fossa on the anteroventral side of the nasal cavity. This fossa is rich in mucous glands that secrete acidic mucopolysaccharides, which might originate from the vomeronasal glands. The olfactory bulb consisted only of a main olfactory bulb that received projections from the olfactory mucosa, but an AOB region was not evident. These findings clarified that harbor seals do not have a VNO to detect some chemicals, but the corresponding region is a specialized secretory organ.
Exploring the association between cardiovascular health and bowel health
Authors: Yu Ziqing , Guo Mingyue , Bai Xiaoyin , Ruan Gechong , Sun Yinghao , Han Wei , Yang Hong 
Published: May 2024

AbstractChronic constipation, diarrhea, and fecal incontinence have high incidence, potential disability, and socioeconomic impact, imposing a heavy burden on the quality of life. We aim to explore the association between cardiovascular health (CVH) and bowel health from National Health and Nutrition Survey 2005–2010. CVH is assessed using Life’s Essential 8 (LE8). Chronic constipation, chronic diarrhea, and fecal incontinence are assessed based on Bristol Stool Form Scale classification, bowel movements, and bowel leakage. Better health behaviors (odds ratio [OR]: 0.71, 95% confidence interval [CI] 0.53–0.94, p = 0.02) and worse health factors (OR: 1.45, CI 1.03–2.04, p = 0.04) were associated with less chronic constipation. Less chronic diarrhea is correlated with better CVH (OR: 0.53, 95% CI 0.35–0.79, p = 0.003) and health factors (OR: 0.61, CI 0.46–0.81, p = 0.001). Meanwhile, the proportion of chronic diarrhea significantly decreases when the health behaviors score exceeds 59.42. Lower fecal incontinence was associated with better health behaviors (OR: 0.63, CI 0.44–0.90, p = 0.01) CVH. Better CVH and health behaviors are both linked to lower all-cause mortality in participants with chronic constipation and chronic diarrhea. A higher health behaviors score is also associated with less all-cause mortality in patients with fecal incontinence. Maintaining CVH at the population level contributes to intestinal health, achieving the dual management of both while saving on healthcare costs. However, further prospective research is needed to confirm these associations.
Mechanical performance degradation investigation on FRP reinforced concrete based on neural network design method
Authors: Xu Wenyuan , Li Wei , Wang Dayang , Ji Yongcheng 
Published: May 2024

AbstractTo predict the effect of chemical-freezing coupling erosion on the properties of four kinds of FRP-reinforced concrete. Rapid freeze–thaw tests were conducted. The mass loss rate, relative dynamic elastic modulus, compressive strength, and flexural capacity were tested to investigate the Mechanical Performance of specimens. The compression specimens are cylindrical specimens wrapped with FRP, and the flexural specimens are pasted with FRP prismatic specimens on the pre-cracked side. A database was built based on 45 groups of experimental test results, and the prediction effect of the BP neural network and CNN model on compressive strength and flexural capacity was compared, respectively. The results showed that CNN did a better job. Finally, the maximum number of freeze–thaw cycles of different FRP-reinforced specimens was predicted based on the CNN model with mass loss rate and relative dynamic modulus as the evaluation criteria. This method can provide a new perspective for predicting the durability of FRP-reinforced concrete.
Socioeconomic disparity in transcatheter and surgical aortic valve replacement: a population study of National Inpatient Sample from 2015 to 2020
Authors: Li Renxi , Prastein Deyanira J. , Choi Brian G. 
Published: May 2024

AbstractThere is limited data on the effect of socioeconomic status (SES) on transcatheter (TAVR) and surgical aortic valve replacement (SAVR) outcomes for aortic stenosis (AS). This study conducted a population-based analysis to assess the influence of SES on valve replacement outcomes. Patients with AS undergoing TAVR or SAVR were identified in National Inpatient Sample from Q4 2015–2020. Multivariable logistic regressions were used to compare in-hospital outcomes between patients living in neighborhoods of income at the lowest and highest quartiles. Of 613,785 AS patients, 9.77% underwent TAVR and 10.13% had SAVR. These rates decline with lower neighborhood income levels, with TAVR/SAVR ratio also declining in lower-income areas. Excluding concomitant procedures, 58,064 patients received isolated TAVR (12,355 low-income and 15,212 high-income) and 43,694 underwent isolated SAVR (10,029 low-income and 10,811 high-income). Low-income patients, in both TAVR and SAVR, were younger but had more comorbid burden. For isolated TAVR, outcomes were similar across income groups. However, for isolated SAVR, low-income patients experienced higher in-hospital mortality (aOR = 1.44, p < 0.01), pulmonary (aOR = 1.13, p = 0.01), and renal complications (aOR = 1.14, p < 0.01). They also had more transfers, longer waits for operations, and extended hospital stays. Lower-income communities had reduced access to TAVR and SAVR, with TAVR accessibility being particularly limited. When given access to TAVR, patients from lower-income neighborhoods had mostly comparable outcomes. However, patients from low-income communities faced worse outcomes in SAVR, possibly due to delays in treatment. Ensuring equitable specialized healthcare resources including expanding TAVR access in economically disadvantaged communities is crucial.
The influence of boreal summer intraseasonal oscillations on precipitation extremes and their characteristics in Southeast Asia
Authors: Xavier Prince , Diong Jeong Yik , Bin Abdullah Muhammad Firdaus Ammar , Permana Donaldi , Pura Alvin , Lam Hoang 
Published: May 2024

AbstractThe regional characteristics of the boreal summer intraseasonal oscillations (BSISO) over southeast Asia are presented. The northeastward transition of the BSISO is characterised by 4 phases, such that convection is enhanced over the Philippines and Indochina in phase 1 and suppressed over Peninsular Malaysia, Borneo and Java. The opposite is true in phase 3. The role of BSISO in modulating extreme precipitation is highlighted, showcasing how its phases impact both the frequency and intensity of extreme precipitation events across the region. Using a method to detect and characterise precipitation features in terms of precipitating areas and their associated object properties, this study shows distinct shifts in precipitation regimes during different phases of the BSISO. Phase 1 exhibits increased large-scale convective activity, particularly affecting regions like the South China Sea and northern Philippines, linked to increased tropical storm frequency but reduced localised extreme precipitation events. In contrast, Phase 3, with active convection over Peninsular Malaysia, Borneo and Sumatra, shows intensified extreme precipitation from smaller to medium-sized areas. BSISO phases also modify the distribution of small and large precipitation objects over land, ocean, and coastal regions. This classification of precipitation regimes provides detailed insights into how the BSISO’s large-scale envelope modifies regional precipitation extremes through various precipitation properties. This information could benefit probabilistic predictions of regional extreme precipitation events at subseasonal time scales.
Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology
Authors: Gustav Marco , Reitsam Nic Gabriel , Carrero Zunamys I. , Loeffler Chiara M. L. , van Treeck Marko , Yuan Tanwei , West Nicholas P. , Quirke Philip , Brinker Titus J. , Brenner Hermann , Favre Loëtitia , Märkl Bruno , Stenzinger Albrecht , Brobeil Alexander , Hoffmeister Michael , Calderaro Julien , Pujals Anaïs , Kather Jakob Nikolas 
Published: May 2024

AbstractIn the spectrum of colorectal tumors, microsatellite-stable (MSS) tumors with DNA polymerase ε (POLE) mutations exhibit a hypermutated profile, holding the potential to respond to immunotherapy similarly to their microsatellite-instable (MSI) counterparts. Yet, due to their rarity and the associated testing costs, systematic screening for these mutations is not commonly pursued. Notably, the histopathological phenotype resulting from POLE mutations is theorized to resemble that of MSI. This resemblance not only could facilitate their detection by a transformer-based Deep Learning (DL) system trained on MSI pathology slides, but also indicates the possibility for MSS patients with POLE mutations to access enhanced treatment options, which might otherwise be overlooked. To harness this potential, we trained a Deep Learning classifier on a large dataset with the ground truth for microsatellite status and subsequently validated its capabilities for MSI and POLE detection across three external cohorts. Our model accurately identified MSI status in both the internal and external resection cohorts using pathology images alone. Notably, with a classification threshold of 0.5, over 75% of POLE driver mutant patients in the external resection cohorts were flagged as “positive” by a DL system trained on MSI status. In a clinical setting, deploying this DL model as a preliminary screening tool could facilitate the efficient identification of clinically relevant MSI and POLE mutations in colorectal tumors, in one go.
Machine learning-based health environmental-clinical risk scores in European children
Authors: Guimbaud Jean-Baptiste , Siskos Alexandros P. , Sakhi Amrit Kaur , Heude Barbara , Sabidó Eduard , Borràs Eva , Keun Hector , Wright John , Julvez Jordi , Urquiza Jose , Gützkow Kristine Bjerve , Chatzi Leda , Casas Maribel , Bustamante Mariona , Nieuwenhuijsen Mark , Vrijheid Martine , López-Vicente Mónica , de Castro Pascual Montserrat , Stratakis Nikos , Robinson Oliver , Grazuleviciene Regina , Slama Remy , Alemany Silvia , Basagaña Xavier , Plantevit Marc , Cazabet Rémy , Maitre Léa 
Published: May 2024

Abstract
Background
Early life environmental stressors play an important role in the development of multiple chronic disorders. Previous studies that used environmental risk scores (ERS) to assess the cumulative impact of environmental exposures on health are limited by the diversity of exposures included, especially for early life determinants. We used machine learning methods to build early life exposome risk scores for three health outcomes using environmental, molecular, and clinical data.

Methods
In this study, we analyzed data from 1622 mother-child pairs from the HELIX European birth cohorts, using over 300 environmental, 100 child peripheral, and 18 mother-child clinical markers to compute environmental-clinical risk scores (ECRS) for child behavioral difficulties, metabolic syndrome, and lung function. ECRS were computed using LASSO, Random Forest and XGBoost. XGBoost ECRS were selected to extract local feature contributions using Shapley values and derive feature importance and interactions.

Results
ECRS captured 13%, 50% and 4% of the variance in mental, cardiometabolic, and respiratory health, respectively. We observed no significant differences in predictive performances between the above-mentioned methods.The most important predictive features were maternal stress, noise, and lifestyle exposures for mental health; proteome (mainly IL1B) and metabolome features for cardiometabolic health; child BMI and urine metabolites for respiratory health.

Conclusions
Besides their usefulness for epidemiological research, our risk scores show great potential to capture holistic individual level non-hereditary risk associations that can inform practitioners about actionable factors of high-risk children. As in the post-genetic era personalized prevention medicine will focus more and more on modifiable factors, we believe that such integrative approaches will be instrumental in shaping future healthcare paradigms.
Combined use of Donepezil and Memantine increases the probability of five-year survival of Alzheimer’s disease patients
Authors: Yaghmaei Ehsan , Lu Hongxia , Ehwerhemuepha Louis , Zheng Jianwei , Danioko Sidy , Rezaie Ahmad , Sajjadi Seyed Ahmad , Rakovski Cyril 
Published: May 2024

Abstract
Background
Alzheimer’s disease (AD) is the most common neurodegenerative disease. Studying the effects of drug treatments on multiple health outcomes related to AD could be beneficial in demonstrating which drugs reduce the disease burden and increase survival.

Methods
We conducted a comprehensive causal inference study implementing doubly robust estimators and using one of the largest high-quality medical databases, the Oracle Electronic Health Records (EHR) Real-World Data. Our work was focused on the estimation of the effects of the two common Alzheimer’s disease drugs, Donepezil and Memantine, and their combined use on the five-year survival since initial diagnosis of AD patients. Also, we formally tested for the presence of interaction between these drugs.

Results
Here, we show that the combined use of Donepezil and Memantine significantly elevates the probability of five-year survival. In particular, their combined use increases the probability of five-year survival by 0.050 (0.021, 0.078) (6.4%), 0.049 (0.012, 0.085), (6.3%), 0.065 (0.035, 0.095) (8.3%) compared to no drug treatment, the Memantine monotherapy, and the Donepezil monotherapy respectively. We also identify a significant beneficial additive drug-drug interaction effect between Donepezil and Memantine of 0.064 (0.030, 0.098).

Conclusions
Based on our findings, adopting combined treatment of Memantine and Donepezil could extend the lives of approximately 303,000 people with AD living in the USA to be beyond five-years from diagnosis. If these patients instead have no drug treatment, Memantine monotherapy or Donepezil monotherapy they would be expected to die within five years.
Declining groundwater storage expected to amplify mountain streamflow reductions in a warmer world
Authors: Carroll Rosemary W. H. , Niswonger Richard G. , Ulrich Craig , Varadharajan Charuleka , Siirila-Woodburn Erica R. , Williams Kenneth H. 
Published: May 2024

AbstractGroundwater interactions with mountain streams are often simplified in model projections, potentially leading to inaccurate estimates of streamflow response to climate change. Here, using a high-resolution, integrated hydrological model extending 400 m into the subsurface, we find groundwater an important and stable source of historical streamflow in a mountainous watershed of the Colorado River. In a warmer climate, increased forest water use is predicted to reduce groundwater recharge resulting in groundwater storage loss. Losses are expected to be most severe during dry years and cannot recover to historical levels even during simulated wet periods. Groundwater depletion substantially reduces annual streamflow with intermittent conditions predicted when precipitation is low. Expanding results across the region suggests groundwater declines will be highest in the Colorado Headwater and Gunnison basins. Our research highlights the tight coupling of vegetation and groundwater dynamics and that excluding explicit groundwater response to warming may underestimate future reductions in mountain streamflow.
Question-based computational language approach outperforms rating scales in quantifying emotional states
Authors: Sikström Sverker , Valavičiūtė Ieva , Kuusela Inari , Evors Nicole 
Published: May 2024

AbstractPsychological constructs are commonly quantified with closed-ended rating scales. However, recent advancements in natural language processing (NLP) enable the quantification of open-ended language responses. Here we demonstrate that descriptive word responses analyzed using NLP show higher accuracy in categorizing emotional states compared to traditional rating scales. One group of participants (N = 297) generated narratives related to depression, anxiety, satisfaction, or harmony, summarized them with five descriptive words, and rated them using rating scales. Another group (N = 434) evaluated these narratives (with descriptive words and rating scales) from the author’s perspective. The descriptive words were quantified using NLP, and machine learning was used to categorize the responses into the corresponding emotional states. The results showed a significantly higher number of accurate categorizations of the narratives based on descriptive words (64%) than on rating scales (44%), questioning the notion that rating scales are more precise in measuring emotional states than language-based measures.
Structure and dynamics of the Hermean magnetosphere revealed by electron observations from the Mercury electron analyzer after the first three Mercury flybys of BepiColombo
Authors: Rojo M. , André N. , Aizawa S. , Sauvaud J.-A. , Saito Y. , Harada Y. , Fedorov A. , Penou E. , Barthe A. , Persson M. , Yokota S. , Mazelle C. , Hadid L. Z. , Delcourt D. , Fontaine D. , Fränz M. , Katra B. , Krupp N. , Murakami G. 
Published: May 2024

Context. The Mercury electron analyzer (MEA) obtained new electron observations during the first three Mercury flybys by BepiColombo on October 1, 2021 (MFB1), June 23 , 2022 (MFB2), and June 19, 2023 (MFB3). BepiColombo entered the dusk side magnetotail from the flank magnetosheath in the northern hemisphere, crossed the Mercury solar orbital equator around midnight in the magnetotail, traveled from midnight to dawn in the southern hemisphere near the closest approach, and exited from the post-dawn magnetosphere into the dayside magnetosheath.
Aims. We aim to identify the magnetospheric boundaries and describe the structure and dynamics of the electron populations observed in the various regions explored along the flyby trajectories.
Methods. We derive 4s time resolution electron densities and temperatures from MEA observations. We compare and contrast our new BepiColombo electron observations with those obtained from the Mariner 10 scanning electron spectrometer (SES) 49 yr ago.
Results. A comparison to the averaged magnetospheric boundary crossings of MESSENGER indicates that the magnetosphere of Mercury was compressed during MFB1, close to its average state during MFB2, and highly compressed during MFB3. Our new MEA observations reveal the presence of a wake effect very close behind Mercury when BepiColombo entered the shadow region, a significant dusk-dawn asymmetry in electron fluxes in the nightside magnetosphere, and strongly fluctuating electrons with energies above 100s eV in the dawnside magnetosphere. Magnetospheric electron densities and temperatures are in the range of 10–30 cm−3 and above a few 100s eV in the pre-midnight-sector, and in the range of 1–100 cm−3 and well below 100 eV in the post-midnight sector, respectively.
Conclusions. The MEA electron observations of different solar wind properties encountered during the first three Mercury flybys reveal the highly dynamic response and variability of the solar wind-magnetosphere interactions at Mercury. A good match is found between the electron plasma parameters derived by MEA in the various regions of the Hermean environment and similar ones derived in a few cases from other instruments on board BepiColombo.