bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches
Authors: Akram Mohsin , Adnan Muhammad , Ali Syed Farooq , Ahmad Jameel , Yousef Amr , Alshalali Tagrid Abdullah N. , Shaikh Zaffar Ahmed 
Published: January 2025

AbstractDeep learning-based medical image analysis has shown strong potential in disease categorization, segmentation, detection, and even prediction. However, in high-stakes and complex domains like healthcare, the opaque nature of these models makes it challenging to trust predictions, particularly in uncertain cases. This sort of uncertainty can be crucial in medical image analysis; diabetic retinopathy is an example where even slight errors without an indication of confidence can have adverse impacts. Traditional deep learning models rely on single-point predictions, limiting their ability to provide uncertainty measures essential for robust clinical decision-making. To solve this issue, Bayesian approximation approaches have evolved and are gaining market traction. In this work, we implemented a transfer learning approach, building upon the DenseNet-121 convolutional neural network to detect diabetic retinopathy, followed by Bayesian extensions to the trained model. Bayesian approximation techniques, including Monte Carlo Dropout, Mean Field Variational Inference, and Deterministic Inference, were applied to represent the posterior predictive distribution, allowing us to evaluate uncertainty in model predictions. Our experiments on a combined dataset (APTOS 2019 + DDR) with pre-processed images showed that the Bayesian-augmented DenseNet-121 outperforms state-of-the-art models in test accuracy, achieving 97.68% for the Monte Carlo Dropout model, 94.23% for Mean Field Variational Inference, and 91.44% for the Deterministic model. We also measure how certain the predictions are, using an entropy and a standard deviation metric for each approach. We also evaluated the model using both AUC and accuracy scores at multiple data retention levels. In addition to overall performance boosts, these results highlight that Bayesian deep learning does not only improve classification accuracy in the detection of diabetic retinopathy but also reveals beneficial insights about how uncertainty estimation can help build more trustworthy clinical decision-making solutions.
Enhancing water quality and well-being of Penaeus vannamei (Boone, 1931) in Inland saline systems using mixed biochar amendments
Authors: Tachangliu Newmei , Bharti Vidya S. , Amal Chalungal T. , Kara Tao , Kumar Saurav , Kumar Pankaj , Verma A. K. , Konduri Arun , Adakney Swaraj , Sawant Shamika 
Published: January 2025

AbstractAn experiment was conducted for 60 days in a 500L capacity FRP tank containing inland ground saline water (fortified to a level of 50% potassium) with one control (sediment) and three treatments; T1(Paddy Straw Biochar (PSB) in sediment), T2 (Banana Peduncle Biochar (BPB) in sediment), and T3 (PSB + BPB in sediment). Biochar (100 g) was amended with sediment (25 kg) at 9 tons/ha. Shrimps of average weight 5 ± 0.03 g were stocked at 60 juveniles/m3 and were fed at satiation levels using commercially available feed. Compared to control, in biochar contained treatments the ammonia levels were reduced, the pH, alkalinity, calcium-magnesium ratio, and potassium in water, were increased significantly. Growth metrics reveal a significant increase in final body weight, weight gain percentage, PER, HPSI, SGR, and reduced FCR (within 1–1.26) in biochar-treated groups with the highest survivability (92%) was observed in T3, which is mixed biochar amended sediment. At the end of the experiment, shrimp organs (hepatopancreas, gills, and muscles) and serum were sampled for tissue enzymes and serum profiles, respectively. The mean levels of lipase, amylase and protease varied significantly, and in biochar treated groups significant reduction in the activities of oxidative stress enzymes (SOD and CAT in Hepatopancreas) were recorded in comparison to control. For the serum, higher hemocyanin (0.33 ± 0.01mMolL-1) was observed in mixed biochar amended treatment (T3) and the least in control. In addition, the glucose level in the serum was significantly dropped in biochar-amended groups indicating reduced stress levels, while it increased in control. T3 was found to be the best, among all, in improving growth performance and maintaining the water quality. Even though biochar-amended treatments demonstrated positive outcomes regarding inland saline water quality, growth metrics, and well-being of the P. vannamei compared to control, a deeper analysis is necessary to understand the underlying mechanisms determining these beneficial effects of biochar.
Geospatial modeling of near subsurface temperatures of the contiguous United States for assessment of materials degradation
Authors: Gordon Jonathan E. , Akanbi Olatunde D. , Bhuvanagiri Deepa C. , Omodolor Hope E. , Mandayam Vibha , French Roger H. , Yarus Jeffrey M. , Barcelos Erika I. 
Published: January 2025

AbstractUnderstanding subsurface temperature variations is crucial for assessing material degradation in underground structures. This study maps subsurface temperatures across the contiguous United States for depths from 50 to 3500 m, comparing linear interpolation, gradient boosting (LightGBM), neural networks, and a novel hybrid approach combining linear interpolation with LightGBM. Results reveal heterogeneous temperature patterns both horizontally and vertically. The hybrid model performed best achieving a root mean square error of 2.61 °C at shallow depths (50–350 m). Model performance generally decreased with depth, highlighting challenges in deep temperature prediction. State-level analyses emphasized the importance of considering local geological factors. This study provides valuable insights for designing efficient underground facilities and infrastructure, underscoring the need for depth-specific and region-specific modeling approaches in subsurface temperature assessment.
Neutron imaging and molecular simulation of systems from methane and p-xylene
Authors: Melčák Martin , Durďáková Tereza-Markéta , Tvrdý Štěpán , Šercl Jonatan , Lee Jong Min , Boillat Pierre , Heyda Jan , Trtik Pavel , Vopička Ondřej 
Published: January 2025

AbstractBulk properties of two-phase systems comprising methane and liquid p-xylene were derived experimentally using neutron imaging and theoretically predicted using molecular dynamics (MD). The measured and predicted methane diffusivity in the liquid, Henry’s law constant, apparent molar volume, and surface tension compared well within the experimentally studied conditions (273.15 to 303.15 K, ≤ 100 bar). Since MD is a physical model, extrapolations of the two-phase systems properties were performed for a broader temperature range (260 to 400 K, ≤ 100 bar). Moreover, the species diffusivities in single phases formed by infinitely diluted p-xylene in methane were predicted under conditions relevant to the methane liquefaction (90 to 290 K, 50 bar). The predicted p-xylene diffusivity in the supercritical methane was one order of magnitude higher than that calculated using Wilke–Chang and He–Yu correlations. This study provides novel experimental and MD-simulated characteristics for this industrially relevant system, for which intensive freeze-out formation from the supercritical methane is predicted.
Promotion of beta cell proliferation through DYRK kinase inhibition using the marine natural product breitfussin C
Authors: Ullsten Sara , Østnes Hansen Kine , Petit Guillaume Axel , Hansen Espen Holst , Andersen Jeanette Hammer 
Published: January 2025

AbstractPro-inflammatory cytokines, like interleukin-1 beta and interferon gamma, are known to activate signalling pathways causing pancreatic beta cell death and dysfunction, contributing to the onset of diabetes. Targeting cytokine signalling pathways offers a potential strategy to slow or even halt disease progression, reducing reliance on exogenous insulin and improving glucose regulation. This study explores the protective and proliferative effects of breitfussin C (BfC), a natural compound isolated from the Arctic marine hydrozoan Thuiaria breitfussi, on pancreatic beta cells exposed to pro-inflammatory cytokines. Using the beta cell line RIN-M5F, we assessed the protective effects of BfC through a MTS assay for cell viability, caspase 3/7 activity for apoptosis, and EdU incorporation and cell cycle distribution for proliferation. Additionally, we investigated BfC’s inhibitory effects on the DYRK family of kinases using kinase activity and binding assays, western blotting, and docking simulations. Our findings reveal that BfC treatment effectively increases beta cell proliferation and counteracts cytokine-induced decrease in proliferation. The proliferative effect is associated with inhibition of DYRK kinases and a subsequent decrease in the cell cycle inhibitor p27KIP. These results suggest that BfC mediates beta cell-protective effect by promoting proliferation through DYRK inhibition, highlighting its potential as a molecular starting point for the development of a therapeutic agent against diabetes.
Analyzing temporal imaging patterns in acute ischemic stroke via DICOM-timestamps
Authors: Rau Alexander , Reisert Marco , Frank Benedikt , Deuschl Cornelius , Russe Maximilian F , Elsheikh Samer , Köhrmann Martin , Urbach Horst , Kellner Elias 
Published: January 2025

AbstractAcute stroke management is time-sensitive, making time data crucial for both research and quality management. However, these time data are often not reliably captured in routine clinical practice. In this proof-of-concept study we analysed image-based time data automatically captured in the DICOM format. We enrolled data from two separate stroke centers (n = 3136 and n = 2089). Data from the first center was additionally separated into groups with large-vessel-occlusion (LVO, n = 1.092), medium-vessel-occlusions (MVO, n = 416), and no occlusion (NVO, n = 1630). The DICOM-tag StudyTime was used to analyze the distribution of scan times throughout the day. Additionally, manually documented onset- and admission were extracted from the patients’ records in a subset of cases (n = 347). Timestamps were compared across centers and occlusion groups, and a probabilistic model was developed to illustrate and compare stroke occurrence patterns throughout the day. The temporal distribution of the scan times at both centers was exceptionally consistent with a peak around noon and a nighttime low. The groups with vessel occlusions showed an earlier peak compared to those without (p < 0.04). The median interval between admission and scan time was 23 min, while the median onset-to-imaging time was 1 h:54 min. This proof-of-concept study indicates that DICOM-timestamps can reveal insights into the temporal patterns of stroke imaging and may be a promising tool for quality control and stroke research in general since they are always automatically captured by imaging devices as opposed to manual data collection in routine clinical practice.
Risk factors for all-cause mortality during the COVID-19 pandemic compared with the pre-pandemic period in an adult population of Arkhangelsk, Russia
Authors: Krieger Ekaterina , Kudryavtsev Alexander V. , Sharashova Ekaterina , Samodova Olga , Postoev Vitaly A. 
Published: January 2025

AbstractWe investigated and compared mortality rates and risk factors for pre-pandemic and pandemic all-cause mortality in a population-based cohort of men and women in Arkhangelsk, Russia. A prospective cohort study enrolled 2,324 participants aged 35 to 69 years between 2015 and 2017. All participants were followed up for all-cause deaths using the mortality registry. Mortality rates per 1000 person-years were calculated for men and women in the pre-pandemic and pandemic periods. Cox regression models were used to investigate demographic, lifestyle, and health characteristics associated with increased risk of death in both periods. During the pandemic, age-standardized all-cause mortality increased in women, but minor change was observed in men. Older age, smoking, and diabetes were associated with a higher risk of all-cause death in both periods and for both sexes. In women, higher risk during the pandemic was associated with obesity, angina, elevated cystatin C levels, and a history of COVID-19. In men, asthma and elevated hs-Troponin T levels increased the risk of death during the pandemic, while elevated hs-CRP and NT-proBNP levels were associated with higher risk in both periods. Targeted preventive interventions for men and women with specific risk factors can be implemented during potential future infectious disease outbreaks.
Novel insights into insect mediated polystyrene biodegradation through bacterial genome analyses
Authors: Zarra Felice , Funari Rebecca , Cucini Claudio , Nardi Francesco , Carapelli Antonio , Marri Laura , Frati Francesco 
Published: January 2025

AbstractPlastic pollution is a significant environmental challenge of contemporary age. Polystyrene (PS), among the most commonly used plastic polymers worldwide, is highly durable and difficult to degrade. Despite various disposal strategies, PS continues to impact biodiversity, human health, and ecosystems. Recently, the scientific community has focused on the potential role of microorganisms for plastic biodegradation, particularly those from the gut of plastivorous insects. In a previous study, three bacterial strains, each representing a distinct taxonomic group (Klebsiella, Pseudomonas, and Stenotrophomonas), were isolated from Alphitobius diaperinus larvae after rearing on a PS diet and enriched in a medium with PS as the sole carbon source. The Stenotrophomonas sp. strain, here identified as S. indicatrix, showed the greatest potential for PS degradation. The present study investigates the genetic profile of the newly isolated S. indicatrix strain DAI2m/c through genome sequencing, to identify enzyme-encoding genes involved in the intracellular metabolic pathways responsible for the biodegradation of the styrene monomer. Our findings indicate that the genome of S. indicatrix strain DAI2m/c encodes all enzymes required for one of the two recognized styrene degradation pathways, suggesting its ability to convert styrene into byproducts that are then utilized for cellular energy production.
Stabilization of soil organic matter in Luvisols under the influence of various tree species in temperate forests
Authors: Staszel-Szlachta Karolina , Błońska Ewa , Lasota Jarosław 
Published: January 2025

AbstractTree species through aboveground biomass and roots are a key factors influencing the quality and quantity of soil organic matter. Our study aimed to determine the stability of soil organic matter in Luvisols under the influence of five different tree species. The study areas were located 25 km north of Krakow, in southern Poland. The study included five tree species - Scots pine (Pinus sylvestris L.), European larch (Larix decidua Mill.), pedunculate oak (Quercus robur L.), beech (Fagus sylvatica L.) and hornbeam (Carpinus betulus L.). Forest stands growing in the same soil conditions (Luvisols) with similar geological material (loess) and grain size were selected for the study. We evaluated labile and heavy fractions of soil organic matter (SOM). Additionally, basic physicochemical properties (pH, carbon and nitrogen content, base cation content) were determined in soil samples. The results of our study showed that soils under the influence of coniferous species were characterized by a higher content of carbon of free light fraction (CfLF) and carbon of occluded light fraction (CoLF) compared to deciduous species. Similar relationships were found with the nitrogen content of the free light fraction (NfLF) and nitrogen of occluded light fraction (NoLF). Higher CMAF and NMAF contents were recorded in soils influenced by deciduous species. The carbon, nitrogen and base cations content positively correlated with the C and N of free light fraction and occluded light fraction. PCA analysis confirmed the connection of C and N of heavy fractions (CMAF and NMAF) with deciduous species. Our research shows that avoiding single-species conifer stands and introducing admixtures of deciduous species, which increase SOM, is justified in forest management. The selection of suitable species will provide greater stand stability and contribute more to the carbon accumulation in the soil.
Unconventional nonlinear Hall effects in twisted multilayer 2D materials
Authors: Okyay Mahmut Sait , Choi Min , Xu Qiang , Diéguez Adrián Perez , Del Ben Mauro , Ibrahim Khaled Z. , Wong Bryan M. 
Published: January 2025

AbstractWe present the first investigation of unusual nonlinear Hall effects in twisted multilayer 2D materials. Contrary to expectations, our study shows that these nonlinear effects are not merely extensions of their monolayer counterparts. Instead, we find that stacking order and pairwise interactions between neighboring layers, mediated by Berry curvatures, play a pivotal role in shaping their collective nonlinear optical response. By combining large-scale Real-Time Time-Dependent Density Functional Theory (RT-TDDFT) simulations with model Hamiltonian analyses, we demonstrate a remarkable second-harmonic transverse response in hexagonal boron nitride four-layers, even in cases where the total Berry curvature cancels out. Furthermore, our symmetry analysis of the layered structures provides a simplified framework for predicting nonlinear responses in multilayer materials in general. Our investigation challenges the prevailing understanding of nonlinear optical responses in layered materials and opens new avenues for the design and development of advanced materials with tailored optical properties.
Estimating the Tinnitus Spectrum: A Comparison Between At-Home and Laboratory Measurements
Authors: Lentz Jennifer J. , Liu Yi 
Published: January 2025

Purpose:
The purpose of this study was to provide proof of concept for at-home measurements of the tinnitus spectrum.

Method:
Nineteen participants completed pitch similarity ratings in the laboratory and at home. All participants first completed laboratory tests (at 500–16000 Hz) and then later completed at-home tests (at 250–8000 Hz) using their own personal computers and headphones. Six participants repeated these measurements after at least 3 weeks.

Results:
Tinnitus spectra (plots of pitch similarity rating vs. frequency) were analyzed using linear regression and Bland–Altman plots for frequencies that were common to both environments (500–8000 Hz). Although the Bland–Altman plots indicated that absolute ratings used by participants differed in the two settings with online ratings tending to be higher than lab ratings, the regression analysis indicated that the tinnitus spectra had similar shapes (evidenced by significantly positive slopes) between the two environments for 14 of the 19 participants. Similar results were evident for test–retest reliability of the six returning participants in both settings.

Conclusions:
We conclude that the pitch similarity rating method is potentially viable for measuring tinnitus pitch at home. At-home implementation could expedite clinical tinnitus assessments and could be used in conjunction with at-home implementations of tinnitus treatment strategies. However, future studies should include participants who are tested at home prior to being tested in the lab and include an evaluation of extended high frequencies at home.
Successful venous thrombectomy for extensive cerebral venous and sinus thrombosis after failed diagnostic lumbar puncture
Authors: Döring Katja , Ratuszny Dominica , Schuppner Ramona , Giesemann Anja , Bültmann Eva , Lanfermann Heinrich , Abu-Fares Omar 
Published: January 2025

AbstractWith an incidence of 2–5 per million adults, cerebral venous and sinus thrombosis (CVST) is a rarity in the spectrum of cerebrovascular diseases. The etiology and symptomatic presentation are heterogeneous and diverse. CSVT is, therefore, often underdiagnosed. In addition to therapeutic anticoagulation, venous thrombectomy is a last-resort therapy in individual cases.A 42-year-old woman was admitted to the hospital with postural headache following an unsuccessful lumbar puncture. On suspicion of post-puncture syndrome, analgesic therapy with adjuvant caffeine tablets was initially chosen, leading to rapid improvement and short-term discharge. However, only one day later, the patient presented with a significant worsening of her symptoms and new onset of paresthesia. Since distally accentuated paresis of the left arm also occurred within a very short period of time, a cerebral MRI examination was performed. This revealed an extensive CVST. Due to the extensive CVST and progressive worsening of symptoms, mechanical venous thrombectomy was discussed and performed on an interdisciplinary basis. Mechanical thrombectomy was successful and resulted in complete improvement of symptoms.The pathophysiological diagnosis is cerebrospinal fluid leak syndrome after unsuccessful lumbar puncture. According to the Monroe-Kellie doctrine, the loss of CSF leads to compensatory dilatation and venous stasis, which in combination can lead to venous insufficiency and promote prothrombotic conditions. Although the available data on the performance of venous thrombectomy suggest caution, there should always be sufficient discretion for individual decision making. As our experience shows, there is a chance of successful venous thrombectomy in the early phase of CVST.
Psychische Erkrankungen im Alter – Warum wir eine neue Sicht
brauchen
Authors: Peters Meinolf , Peters Lisa 
Published: January 2025

ZusammenfassungKlinische Bilder bei älteren Patienten mit psychischen Erkrankungen sind häufig
sehr komplex, einzelne Störungsbilder scheinen weniger abgegrenzt, was sich auch
in epidemiologischen Studien bestätigt. In diesem Artikel wird die These einer
Dedifferenzierung der Krankheitsbilder im Alter entwickelt. Als mögliche Ursache
werden Defizite in den Exekutivfunktionen im Alter diskutiert.