bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine Learning–Enabled Detection of Unruptured Cerebral Aneurysms Improves Detection Rates and Clinical Care
Authors: Kim Hyun‐Woo , Ballekere Anjan , Ali Iman , Marioni Sergio Salazar , Abdelkhaleq Rania , Niktabe Arash , Azeem Hussain , Iyyangar Ananya , Segev Omri , Bibas Orin , Paz Dan , Love Christopher J. , Giancardo Luca , Sheth Sunil A. 
Published: September 2023

Background
Unruptured cerebral aneurysms (UCAs) have a relatively low prevalence of ≈3%, but detection can prevent devastating consequences of subarachnoid hemorrhage. Here, we assess the performance of a machine learning algorithm to identify UCAs and determine whether routine use of the algorithm improves detection and patient care.

Methods
From a prospectively maintained multicenter registry across 8 certified stroke centers (1 comprehensive and 7 primary), we identified patients who underwent computed tomography angiography for evaluation of possible stroke from March 14, 2021, to November 31, 2021. A convolutional deep neural network (Viz ANEURYSM) trained to identify UCAs at least 4 mm in size analyzed the images, and ground truth was provided by a blinded expert neuroradiologist. The primary outcome was rate of clinical follow‐up for UCAs detected by the machine learning algorithm.

Results
Among 1191 computed tomography angiograms performed during the study period, 50 (4.2%) were flagged by the machine learning algorithm as possibly demonstrating a UCA, of which 31 cases were confirmed as true positive (positive predictive value, 62%). There were a total of 36 true aneurysms with 4 cases of multiple aneurysms. Overall, the most common locations included internal carotid artery (42%). Of these cases, 10 (27.8%) were not noted in the clinical radiology report or clinical notes, with a median size of 4.4 mm (interquartile range, 1.6 mm), and 24 (67%) were not referred for follow‐up, with median size of 4.4 mm (interquartile range, 4.2 mm). Of the 24 aneurysms not referred for follow‐up, 15 (62.5%) had been noted in the radiology report. A total of 33.3% (5/15) of the detected but not referred cases had a diameter >7 mm, with median PHASES score of 7.

Conclusions
UCAs of sizes and intradural locations that require attention and may warrant treatment are frequently missed in routine clinical care. A machine learning algorithm that flags studies and notifies clinicians may minimize missed care opportunities.
Insights into the Drivers and Spatiotemporal Trends of Extreme Mediterranean Wildfires with Statistical Deep Learning
Authors: Richards Jordan , Huser Raphaël , Bevacqua Emanuele , Zscheischler Jakob 
Published: September 2023

Abstract
Extreme wildfires continue to be a significant cause of human death and biodiversity destruction within countries that encompass the Mediterranean Basin. Recent worrying trends in wildfire activity (i.e., occurrence and spread) suggest that wildfires are likely to be highly impacted by climate change. To facilitate appropriate risk mitigation, it is imperative to identify the main drivers of extreme wildfires and assess their spatiotemporal trends, with a view to understanding the impacts of the changing climate on fire activity. To this end, we analyze the monthly burnt area due to wildfires over a region encompassing most of Europe and the Mediterranean Basin from 2001 to 2020 and identify high fire activity during this period in eastern Europe, Algeria, Italy, and Portugal. We build an extreme quantile regression model with a high-dimensional predictor set describing meteorological conditions, land-cover usage, and orography, for the domain. To model the complex relationships between the predictor variables and wildfires, we make use of a hybrid statistical deep learning framework that allows us to disentangle the effects of vapor pressure deficit (VPD), air temperature, and drought on wildfire activity. Our results highlight that while VPD, air temperature, and drought significantly affect wildfire occurrence, only VPD affects wildfire spread. Furthermore, to gain insights into the effect of climate trends on wildfires in the near future, we focus on the extreme wildfires in August 2001 and perturb VPD and temperature according to their observed trends. We find that, on average over Europe, trends in temperature (median over Europe: +0.04 K yr−1) lead to a relative increase of 17.1% and 1.6% in the expected frequency and severity, respectively, of wildfires in August 2001; similar analyses using VPD (median over Europe: +4.82 Pa yr−1) give respective increases of 1.2% and 3.6%. Our analysis finds evidence suggesting that global warming can lead to spatially nonuniform changes in wildfire activity.
Evaluation of ERA5 Reanalysis Precipitation Data in the Yarlung Zangbo River Basin of the Tibetan Plateau
Authors: Chen Yueli , Ding Minghu , Zhang Guo , Wang Ying , Li Jianduo 
Published: September 2023

Abstract
Atmospheric simulation-based gridded precipitation datasets have been widely used in hydrological and land surface modeling, but may contain larger uncertainties in mountainous regions. This study compared the performance of the fifth European Centre for Medium-Range Weather Forecasts reanalysis (ERA5) precipitation data with two fused precipitation datasets [China Meteorological Administration Land Data Assimilation System version 2.0 (CLDAS2.0) and China Meteorological Forcing Dataset (CMFD)] in the Yarlung Zangbo River basin (YZRB), which has a complex terrain and climate. Compared to in situ observations, ERA5 could capture the spatial–temporal pattern of precipitation but showed high precipitation, especially in the downstream region (lower Nuxia discharge station). In terms of the correlation coefficient, the overall performance of the ERA5 data was slightly worse than that for CMFD data at both the monthly and yearly scales, and was comparable to that of the CLDAS2.0 data. Given that the spatial mismatch between the gridded and in situ data may influence the evaluation, we also employed the water balance method to constrain basinwide precipitation amounts. We found that CLDAS2.0 and CMFD precipitation data tended to cause long-term water imbalance, and ERA5, with a much larger multiyear average annual precipitation, could better close the water budget. Further analysis showed that the differences in multiyear average annual precipitation between ERA5 and in situ observations were closely related to the slope and standard deviation of the subgrid-scale orography, indicating the substantial influence of subgrid topography on precipitation simulation. These findings highlight that ERA5 could be a potential reference dataset for hydrological modeling of the YZRB.
Spatial-Mode-Based Calibration (SMoC) of Forecast Precipitation Fields with Spatially Correlated Structures: An Extended Evaluation and Comparison with Gridcell-by-Gridcell Postprocessing
Authors: Zhao Pengcheng , Wang Quan J. , Wu Wenyan , Yang Qichun 
Published: September 2023

Abstract
Postprocessing forecast precipitation fields from numerical weather prediction models aims to produce ensemble forecasts that are of high quality at each grid cell and, importantly, are spatially structured in an appropriate manner. A conventional approach, the gridcell-by-gridcell postprocessing, typically consists of two steps: 1) perform statistical calibration separately at individual grid cells to generate unbiased, skillful, and reliable ensemble forecasts and 2) employ ensemble reordering to link ensemble members of all grid cells according to certain templates to form spatially structured ensemble forecasts. However, ensemble reordering techniques are generally problematic in practical use. For example, the well-known Schaake shuffle is often criticized for not considering real physical atmospheric conditions. In this context, a fundamentally new approach, namely, spatial-mode-based calibration (SMoC), has recently been developed for postprocessing forecast precipitation fields with inbuilt spatial structures, thereby eliminating the need for ensemble reordering. SMoC was tested on 1-day-ahead forecasts of heavy precipitation events and was found to produce ensemble forecasts with appropriate spatial structures. In this paper, we extend SMoC to calibrate forecasts of light and no precipitation events and forecasts at long lead times. We also compare SMoC with the gridcell-by-gridcell postprocessing. Results based on multiple evaluation metrics show that SMoC performs well in calibrating both forecasts of light and no precipitation events and forecasts at long lead times. Compared with the gridcell-by-gridcell postprocessing, SMoC produces ensemble forecasts with similar forecast skill, improved forecast reliability, and clearly better spatial structures. In addition, SMoC is computationally far more efficient.
Early and slow weight loss responders’ perceptions of an adaptive diabetes prevention trial: A qualitative perspective
Authors: King Danielle , Miller Carla K , Cheavens Jennifer S , Fujita Kentaro 
Published: September 2023

Objective: Behavioural weight loss interventions demonstrate success on average, yet participants who respond more slowly may benefit from an augmented, tailored approach. Thus, an augmented intervention for early, slow weight loss responders was implemented. This qualitative analysis explored participants’ perceptions of and experiences of the 12-month weight loss programme to inform future intervention development and implementation. Design: Individual interviews were conducted post-treatment. In-person, in-depth interviews were offered prior to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic; videoconferencing interviews were offered following the pandemic onset. Setting: A Midwestern US university workplace. Method: Adults ⩾ 21 years old with overweight or obesity and prediabetes ( n = 39) were recruited and volunteered to participate in a semi-structured interview. Results: Content analysis identified recurring themes among early and early slow weight loss responders. Social support received during weekly group sessions was a critical intervention component. Some early slow responders expressed difficulty with self-regulatory strategies such as setting specific yet attainable goals, and requested additional contact prior to the maintenance study phase – treatment randomisation at month 5 disrupted group dynamics. Early slow responders who received the intervention via videoconferencing believed the format interfered with their ability to establish friendships with other participants and gain insight and support from others’ lived experiences. Conclusion: Weight loss interventions may be more efficacious when considering participant heterogeneity during implementation of behavioural strategies. Findings suggest early slow weight loss responders may benefit from greater emphasis on goal setting and striving, agentic thinking, and social support. Future research is needed to examine the implications of these insights on intervention outcomes.
Social Worlds and the Roles of Political Philosophy
Authors: Stewart Andrew 
Published: September 2023

The term “social world” is increasingly familiar in philosophy and political theory. Rawls uses it quite often, especially in his later works. But there has been little explicit discussion of the term and the idea of social worlds. My aim in this paper is to show that political philosophers, Rawlsian or not, should think seriously about social worlds and the roles these things play and ought to play in their work. The idea of social worlds can help political philosophers think about what they do in new and fruitful ways and enrich debates about the roles, aims, and methodology of political philosophy. I begin by analyzing Rawls’s uses of “social world.” I then propose a broadly Rawlsian conception of social worlds as logically possible closed networks of social relations between agents. Next, I put this conception to work, arguing that the idea of navigating the landscape of social worlds can help us better understand the four apparently disparate roles of political philosophy that Rawls presents. Moving beyond Rawls interpretation, I use the idea of social worlds to develop an analogy and distinction between world-oriented and principle-oriented approaches to political philosophy. While principle-oriented approaches grant centrality and importance to engagement with principles of justice, legitimacy, or other political concepts, world-oriented approaches grant centrality and importance to engagement with social worlds. I propose two examples of world-oriented approaches, political philosophy as navigation and political philosophy as world-building, and argue that they are viable and worthy of further consideration.
Effects of KISS1 structural polymorphism on the risk of polycystic ovary syndrome and reproductive hormones in Iraqi women who take metformin
Authors: Kadhem Ali Hakem , Gholizadeh Ashraf , Khalaj-Kondori Mohammad 
Published: September 2023

Objective To identify the effects of metformin and kisspeptin structural polymorphism on the risk of polycystic ovary syndrome (PCOS) in Iraqi women. Methods Samples were collected at the family planning center of Al-Hassan Teaching Hospital (infertility clinic), Iraq. Hormonal and hematological parameters were measured. Kisspeptin structural polymorphisms were analyzed by polymerase chain reaction using a conventional thermal cycler and Phyre2 predictions. Kisspeptin concentrations were assessed by an enzyme-linked immunosorbent assay. Results Follicle-stimulating hormone (FSH) was the only sex hormone that changed in women with PCOS after metformin treatment. FSH concentrations were significantly increased after therapy compared with before therapy (9.39 ± 2.1 vs 5.13 ± 1.53 IU/L). We found that a single nucleotide polymorphism substituting G to C was related to PCOS. The kisspeptin structural polymorphism showed that the C allele was related to low FSH concentrations after treatment (6.92 ± 2.2 IU/L to 5.34 ± 1.58 IU/L). Kisspeptin concentrations were significantly lower after metformin treatment than before metformin treatment (395.44 ± 67.83 vs 273.18 ± 42.98 ng/mL). Conclusion A variation in the KISS1 gene or its protein structure may be involved in the development of PCOS. The response to metformin may be used as an indicator and could contribute to the early diagnosis and medical therapy of PCOS.
Reliability of Software Prediction of Post Orthodontic Treatment Changes
Authors: Sankrit Swatika , Gupta Ankur , Tiwari Dhruv Krishana , Chandana Anil K. , Bhattacharya Preeti , Bhandari Ravi , Singh Shivani 
Published: September 2023

Aim The aim of this study was to assess the accuracy of Dolphin VTO prediction in patients requiring extraction treatment by comparing the VTO-predicted values and post-treatment values. Method Digital pre and post-treatment lateral cephalograms of 52 patients having Class I bimaxillary protrusion were taken and transferred in Dolphin Imaging software for analysis and VTO prediction. A composite analysis was made containing 17 dental and soft tissue parameters (Holdaway, Mc Namara, Rakosi, Steiners, and Tweed analysis). Results A comparison between post-treatment and VTO-predicted values showed that software was able to predict soft tissue changes accurately in regions such as nose, inferior sulcus depth, and chin region ( p > .05). In dental changes, software was able to predict the inclination of upper incisors to Sn and palatal plane correctly ( p > .05). Parameters for other areas such as upper and lower lip, position of upper and lower incisor show significant difference in their VTO and post-treatment values ( p < .05) showing inaccuracy of the software. Conclusion The VTO prediction of dental and soft tissue changes was significantly different from the post-treatment values for parameters such as superior sulcus depth, lower lip to h line, subnasal to h line, upper lip thickness, lip strain, nasolabial angle, interincisal angle, Ui-NA, Li-NB, and IMPA. For nasal prominence, inferior sulcus depth, chin thickness, UI-SN, and UI-PP, there was no significant difference seen. Since, for most of the parameters, a significant difference was found between the post-treatment and the predicted values, so it was inferred that the software-based VTO prediction could not be fully relied for any treatment planning.
Patient and provider perspectives on barriers to myocardial infarction care among persons with human immunodeficiency virus in Tanzania: A qualitative study
Authors: Prattipati Sainikitha , Tarimo Tumsifu G , Kweka Godfrey L , Mlangi Jerome J , Samuel Dorothy , Sakita Francis M , Tupetz Anna , Bettger Janet P , Thielman Nathan M , Temu Gloria , Hertz Julian T 
Published: September 2023

Introduction People with HIV (PLWH) have an increased risk myocardial infarction (MI), and evidence suggests that MI is under-diagnosed in Tanzania. However, little is known about barriers to MI care among PLWH in the region. Methods In this qualitative study grounded in phenomenology, semi-structured interviews were conducted in northern Tanzania. Purposive sampling was used to recruit a diverse group of providers who care for PLWH and patients with HIV and electrocardiographic evidence of prior MI. Emergent themes were identified via inductive thematic analysis. Results 24 physician and patient participants were interviewed. Most participants explained MI as caused by emotional shock and were unaware of the association between HIV and increased MI risk. Providers described poor provider training regarding MI, high out-of-pocket costs, and lack of diagnostic equipment and medications. Patients reported little engagement with and limited knowledge of cardiovascular care, despite high engagement with HIV care. Most provider and patient participants indicated that they would prefer to integrate cardiovascular care with routine HIV care. Conclusions PLWH face many barriers to MI care in Tanzania. There is a need for multifaceted interventions to educate providers and patients, improve access to MI diagnosis, and increase engagement with cardiovascular care among this population.
Association between cognitive impairment and olfactory deficits in systemic lupus erythematosus without major neuropsychiatric syndromes
Authors: Xu Xue , Kong Wei , Geng Linyu , Chen Chen , Yang Hailong , Bian Wenjuan , Chen Siwen , Xu Renju , Liang Jun , Sun Lingyun 
Published: September 2023

Objective The aim of the study was to investigate the utility of the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), evaluate cognitive deficits in systemic lupus erythematosus (SLE) patients and examine the relationship between cognitive and olfactory functions. Methods 55 SLE patients and 50 healthy controls were administered by RBANS including five indexes: immediate memory (IMME), visuospatial/constructional (Vis/Con), language (LANG), attention (ATT), and delayed memory (DEME). Olfactory functions were evaluated by computerized testing including three stages of smell: threshold (THR), identification (ID), and memory (ME) of different odors. The disease activity and cumulative damage were assessed by the SLE Disease Activity Index 2000 (SLEDAI-2K) and the Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI). Results SLE patients exhibited significant lower total RBANS scores, IMME, Vis/Con, ATT, and DEME index scores than healthy controls ( p < 0.01 for all and p = 0.027 for attention). Reduced RBANS scores were associated with several organ involvement and autoantibodies. SLE patients with higher SLEDAI-2K scores or with accumulated damage (SDI≥1) showed decreased RBANS scores. All the olfactory scores in SLE patients were significantly decreased than controls ( p = 0.001). Patients had higher proportion of anosmia (8.57% vs 0%) and hyposmia (28.58% vs 5.72%) than controls (χ2 = 10.533, p = 0.015). Multivariable regression analysis revealed that olfactory functions had a positive effect on RBANS index scores. Olfactory memory and total scores were significantly correlated with the DEME (r = 0.393, p = 0.021) and total scores (r = 0.429, p = 0.011). Conclusion This study indicates that significantly cognitive and olfactory functions are impaired in SLE patients. The RBANS is a potentially useful instrument for evaluating neuropsychological status in SLE. Physicians are encouraged to perform routine screening in SLE patients to detect subtle cognitive dysfunction.
Induction of Apoptosis by Cynaropicrin in Human Colon Cancer Cell Line HCT-116 through the Mitochondria-mediated Apoptotic Pathway
Authors: Wang Lei , Bie Xiaoqin , Mickymaray Suresh , Alothaim Abdulaziz S. , Pei Yan , Gong Huaping 
Published: September 2023

Background Colon cancer continues to be the third most commonly occurring cancer around the globe with both lifestyle-related risk factors and genetic dispositions. Owing to the increased incidence of the disease, there is a need to find new treatment options which are easily accessible and less toxic to the cells. Cynaropicrin, a sesquiterpene extract from the artichoke plant exhibits varied properties such as anti-inflammatory, anti-cancer, and antioxidant among others. In the current investigation, the anti-cancer potential of the cynaropicrin extract was observed against colon cancer in HCT-116 cell lines. Materials and Methods The drug exhibited a considerable decrease in cell proliferation. Also analyzed was the reactive oxygen species (ROS) generation and apoptosis induction by cynaropicrin on the HCT-116 cell line. The AO/EtBr staining confirmed the apoptotic induction through chromatin condensation by fluorescence microscopic examination followed by DAPI staining of the treated HCT-116 cells which showed nuclear condensation and disintegration. Results Furthermore, it was observed that cynaropicrin elevated the levels of ROS in the cells which modified the mitochondrial membrane permeability in the HCT-116 cell lines. The study also evaluated the levels of apoptotic proteins and the expression of inflammatory cytokines concerning cells treated with cynaropicrin and untreated control cells. Conclusion It has been observed that cynaropicrin treatment can lead to apoptosis in the HCT-116 cell line via mitochondria-mediated apoptotic pathway and if further evaluated, it can turn out to be a potent anti-cancer drug for effective management of colon cancer.