bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical and sociodemographic predictors of depressive symptoms in epilepsy patients in a single tertiary epilepsy center
Authors: Hajder Dragica , Sekulić Slobodan , Ignjatović Vojislava Bugarski , Popović Sanela , Popović Nemanja , Nikolašević Željka , Bukurov Ksenija Gebauer 
Published: February 2024

Abstract

Purpose
The purpose of this study was to determine the frequency of depressive symptoms in patients with epilepsy (PWE) in a tertiary epilepsy center and, then analyze possible predictors of depression from several domains, including clinical characteristics of epilepsy and sociodemographic factors
Methods
PWE who visited our epilepsy clinic during 6th months period in 2020 and 2021 were enrolled in our study. In order to collect data, structured scales were created for the clinical characteristics of the disease and sociodemographic data. All participants completed Back Depression Inventory II (BDI-II). Univariate analysis and binary logistic regression were conducted to identify the factors associated with depressive symptoms in PWE.
Results
A total of 131 PWE were recruited in this study. It was determined that depressive symptoms were represented in 51.1% PWE. Of these, 49.25% manifest severe depressive symptoms. It was determined that about 18% of PWE use antidepressant medications which is significantly less in comparison to those PWE who are currently depressed. Univariate regression analysis showed that female gender (p = 0.013); severe seizure frequency in the past year (p = 0.001); antiseizure medication polytherapy (p = 0.018); presence of side effects of antiseizure medications (p = 0.001); history of febrile seizures (p = 0.015); focal impaired awareness seizures (p = 0,051), as well as a combination of focal aware seizures to focal impaired awareness seizures to bilateral tonic-clonic seizures (p = 0,006) may associate with depressive symptoms in PWE. Binary logistic regression analysis demonstrated that side effects of antiseizure medications (OR = 3.01; 95% CI:1.09–8.32), history of febrile seizures (OR = 3.75; 95% CI:1 .07–13.11), female gender (OR = 2.16; 95% CI: 0.984–4.73), as well as the combination of focal aware seizures to focal impaired awareness seizures to bilateral tonic-clonic seizures (OR = 7.32; 95% CI: 0.830–64.59) represent unique, independent predictors of depressive symptoms in patients with epilepsy.
Conclusion
Depressive symptoms in PWE are frequent, severe, undiagnosed, and mostly untreated. Side effects of antiseizure medications, history of febrile seizures, female gender, as well as the combination of focal aware seizures to focal impaired awareness seizures to bilateral tonic-clonic seizures represent unique, independent predictors of depressive symptoms in PWE.
Maternal Oxygen Inhalation Affects the Fetal Hemodynamic in Low-Risk with Uncomplicated Late Pregnancy
Authors: Wu Xiu-Qin , Yang Xiao-Feng , Ye Lin , Zhang Xiao-bin , Hong Yong-Qiang , Chiu Wei-Hsiu 
Published: February 2024

Abstract
Background
Maternal oxygen inhalation is associated without significant benefit in newborn during labor. However, it is unknown whether maternal oxygen inhalation effects are fetal hemodynamic in late pregnancy.
Objective
We aimed to determine late trimester whether oxygen inhalation and fetal hemodynamic change are relevant, and attempt to quest the effect of short-term maternal oxygenation inhalation on fetal hemodynamic change, and appraise whether this practice could have any benefit or potential harmful in fetus.
Study Design
This retrospective data was obtained from singleton pregnancies who underwent a after 32+ 0 weeks prenatal ultrasound examination between January 2022 and December 2022, with and without oxygen inhalation women. Our study analysis was performed in August 2023. In oxygen inhalation group, pregnant women received oxygen inhalation with 3 liters/minute for 30 minutes by nasal cannula, and before went to department of ultrasound for sonographic assessment within 1 hour. Each woman was recorded doppler index and calculated placental pulsatility index (PPI) and cerebroplacental ratio (CPR). Moreover, fetal cardiac function was assessed within pulsed Doppler or M-mode.
Main outcome
The primary outcome presented higher PPI, lower CPR, and lower birth weight for the exposure maternal oxygen inhalation group, compare to non-oxygen inhalation group.
Results
Among 104 singleton fetuses (oxygen inhalation group: 48) between 18+ 0 and 40+ 6 weeks of gestation in the final study. In spite of resistance index values of uterine arteries, umbilical arteries, middle cerebral arteries, descending aorta, ductus venosus, and umbilical vein were not reached the statistical different, the data still had variants on oxygen inhalation group. Most importantly, the index of higher sensitivity predicting adverse outcome, PPI (0.76 ± 0.11 vs. 0.81 ± 0.12, p < 0.05) and CPR (2.28 ± 0.70 vs. 1.98 ± 0.56, p < 0.05), presented statistical difference. Meanwhile, birth weight was lower in oxygen inhalation group (2983.78 ± 468.18gm vs. 3178.41 ± 477.59gm, p < 0.05) in our study.
Conclusion
The change in the more sensitive index for predicting unfavorable prenatal outcome, higher PPI and lower CPR, correlated strongly with the maternal oxygen inhalation group compared with the non-oxygen inhalation group. Our results might could be assisted a careful evaluation of the decision-making process and feasibility evaluation in the treatment of oxygen inhalation in pregnancy women especially high-risk pregnancies. Concurrently provided the gauging doppler index for observation before and after treatment in the necessary situation also.
Chemotherapy for elderly Stage II colorectal cancer patients with primary cardiovascular diseases: less is more?
Authors: Zhang Ruoxin , Ye Zilan , Weng Junyong , Jiang Yuying , Li Xinxiang 
Published: February 2024

Abstract

Objective
It is a controversial topic in clinical work to develop an appropriate chemotherapy scheme for elderly stage II colorectal cancer (CRC). We attempted to explore the impact of primary hypertension (HTN) and cardiovascular diseases (CVD) on the prognosis of stage II CRC patients.
Methods
The data on 2461 stage II CRC patients who received surgical treatment in Shanghai Cancer Center of Fudan University from 2008 to 2018 were retrospectively analyzed. The patients were stratified according to whether they were over 65 years old, and the prognosis difference between HTN/CVD (-) group and HTN/CVD (+) group was compared.
Results
Among patients over 65 years old with chemotherapy, the overall survival of HTN/CVD (-) group was significantly better than that of HTN/CVD (+) group [HR = 3.118(1.275, 7.625), p = 0.0127], while the overall survival of the two groups were similar in patients with no chemotherapy (p>0.05). No matter whether the age was over 65 years old or not, primary diseases had no effect on disease-free survival (p > 0.05).
Conclusion
The elderly stage II CRC patients with basic diseases might have poor prognosis due to the cardiovascular events induced by chemotherapy. When making chemotherapy decisions for such patients, clinical workers should pay attention to the close monitoring of cardiovascular events. Weakened chemotherapy regimen may be better.
Camera Self-Calibration and 3D Stratified Reconstruction for Image Sequences with Geometric Features
Authors: Jiang Wen , Zhao Yue , Zhuo Qing-Feng , Zhao Qing-Yang 
Published: February 2024

Abstract

Three-dimensional (3D) stratified reconstruction under geometric transformations is of great significance in computer vision research. Certain applications involve projective or affine reconstruction; however, metric reconstruction best reflects the factual information of the object. The internal and external parameters of the camera play important roles in the stratified reconstruction. This study performed camera calibration using the geometric constraints of a scene in an image sequence or video stream. Consequently, 3D stratified reconstruction from the point cloud was performed according to the algebraic and geometric relations between projective, affine, and metric transformations. Delaunay triangulation and texture mapping were then used to restore the surface of the object in the scene. The results show that the object could be reconstructed both in disordered images and video streams and could be used to restore the 3D appearance of the object and obtain its corresponding geometric information. Finally, the You Only Look Once Version (YOLOV5) target detection algorithm was used to detect the metric reconstruction results, which demonstrated that the effect was satisfactory.
Clonazepam repurposing in ARID1B patients through conventional RCT and N-of-1 Trials - An experimental strategy for orphan disease development
Authors: Sluijs Pleuntje J. van der , Pour Koshar Safai , Berends Cecile , Kruizinga Matthijs D. , Müller Annelieke R. , Eeghen Agnies M. van , Girondo Mar D.M. Rodríguez , Juachon Maria J. , Steenbeek Duco , Cohen Adam F. , Zuiker Rob G.J.A. , Santen Gijs.W.E. 
Published: February 2024

Abstract
Background
Clinical trials for rare disorders have unique challenges, due to low prevalence, patient phenotype variability, and high expectations. These challenges are highlighted by our study on clonazepam in ARID1B patients, a common cause of intellectual disability. Previous studies on Arid1b haploinsufficient mice showed positive effects of clonazepam on various cognitive aspects.
Methods
This study utilized a randomized, double-blind, placebo-controlled, two-way crossover study (RCT), followed by an N-of-1 design. ARID1B patients received clonazepam (max 0.5 mg, twice daily) or a placebo for 22 days with a 3-week washout period. Assessments included safety, tolerability, pharmacokinetics, pharmacodynamics on neurocognitive tasks, behavior and cognitive function.
Results
In the clonazepam group (n=16, 15 completing both periods), seven (44%) reported improvement on Clinician Global Impression-Improvement (CGI-I) versus two (13%) on placebo. Thirteen (87%) showed 'no change' after placebo (two (13%) on clonazepam), while seven (44%) on clonazepam reported deterioration, often linked to side effects (n=6), suggesting potential benefit from lower dosing. Three N-of-1 trials with RCT responders saw two patients improve on clonazepam during double-blinding, but clinical evaluation deemed the improvements insufficient.
Limitations
Our study selectively included patients able to handle multiple tests, potentially introducing selection bias.
Conclusions
Our approach shows the feasibility and strength of combining conventional RCT and N-of-1 studies for therapeutic studies in populations with intellectual disabilities, distinguishing real treatment effects from expectation bias. Our findings suggest that clonazepam has no additional therapeutic value in ARID1B patients.
Trail registration
The study was registered in the EU Clinical Trials Register (no. 2019-003558-98).
Association of major dietary patterns and obesity phenotypes in southwest China : Baseline survey results from Hechuan
Authors: Wang Shaomei , Jing Dezhi , Li Mengfen , Duan Huaan , Qin Yi , Ding Xianbin , Peng Juan , Li Xia , Zhu Yanfeng 
Published: February 2024

Abstract
Background: Dietary patterns play an important role in obesity and metabolic syndrome, and there are few studies on the relationship between dietary patterns and obesity phenotype. In order to identify the main dietary patterns in Hechuan and clarify how they are associated with obesity phenotypes.
Methods: The data were derived from the baseline survey data of Hechuan Cohort, a general population cohort study in Southwest China. A semi-quantitative food frequency questionnaire was used to investigate dietary habits of the subjects in the past year. Principal component analysis was used to identify the main dietary patterns, and multinomial logistic regression analysis was used to describe the correlation between dietary patterns and obesity phenotypes.
Results: Three major dietary patterns were identified. The subjects followed the wheaten food dietary pattern had a higher likelihood having MHO (OR 1.05, 95%CI 1.02-1.08), MUNW (OR 1.08, 95%CI 1.00-1.16) and MUO (OR 1.07, 95%CI 1.04-1.11). Specifically, those with the highest wheaten food dietary pattern were 1.60 times more likely to have MHO (OR 1.60, 95%CI 1.25-2.05), 2.62 times more likely to have MUNW (OR 2.62, 95%CI 1.28-5.37) and 2.01 times more likely to have MUO (OR 2.01,95%CI 1.51-2.69) than those with the lowest wheaten food pattern.
Conclusions: wheaten food dietary pattern can increase the risk of obesity and metabolic abnormalities, and timely intervention should be carried out for this group of people.
Landslide-channel feedbacks amplify channel widening during floods
Authors: Bennett Georgina L , Panici Diego , Rengers Francis , Kean Jason , Rathburn Sara 
Published: February 2024

Abstract

Channel widening is a major hazard during floods, particularly in confined mountainous catchments where roads and buildings compete for space with river channels. Flood-induced channel widening is also an important process in eroding and shaping the landscape. However, channel widening during floods is not well understood and not always explained by hydraulic variables alone, with implications for flood risk management. Floods in mountainous regions often coincide with landslides triggered by heavy rainfall on steep valley sides. Whilst the long-term impact of increased sediment supply on channel widening is well established, landslide-channel interactions at the event timescale are not well known or documented. Here we demonstrate with an example from the Great Colorado Flood in 2013, a 1000-yr precipitation event that induced a 200-yr flood, and 100-yrs of erosion, how landslide-channel feedbacks can substantially amplify channel widening and flood risk. We use a combination of field analysis and multiphase flow modeling to document landslide-channel interaction during the flood event in which sediment delivered by landslides temporarily dammed the channel before failing and bulking the flow with sediment resulting in large channel widening. We propose that such landslide-flood interactions will become increasingly important to account for in flood hazard assessment as flooding and landsliding increase with extreme rainfall under climate change.
Musculoskeletal health and work: development and internal-external cross-validation of a model to predict risk of work absence and presenteeism in people seeking primary healthcare
Authors: Archer Lucinda , Peat George , Snell Kym IE , Hill Jonathan C , Dunn Kate M , Foster Nadine E , Bishop Annette , Windt Danielle van der , Wynne-Jones Gwenllian 
Published: February 2024

Abstract

PurposeTo develop and validate prediction models for the risk of future work absence and level of presenteeism, in adults seeking primary healthcare with musculoskeletal disorders (MSD).MethodsSix studies from the West-Midlands and Northwest regions of England, recruiting adults consulting in primary care with MSD, and including work outcome data up to 12 months following consultation, were included for model development and internal-external cross-validation (IECV). The primary outcome was any work absence within 6 months of their consultation. Ten candidate predictors were included: age; sex; multisite pain; baseline pain score; pain duration; job type; anxiety/depression; presence of comorbidities; absence in the previous 6 months; baseline presenteeism.ResultsFor the 6-month absence model, a total of 2179 participants (215 absences) were available across five studies. Calibration was promising, although varied across individual studies, with a pooled calibration slope of 0.93 (95%CI: 0.41 to 1.46) on IECV. On average, the model discriminated well between those with work absence within 6 months, and those without (IECV-pooled C-statistic 0.76, 95%CI: 0.66 to 0.86).ConclusionsThe model reasonably predicts risk of work absence within 6 months, on average, in adults consulting with MSD, and showed potential over a range of threshold outcome probabilities. This information could be useful to support shared decision-making and to target occupational health interventions at those individuals with a higher risk of absence in the 6 months following consultation. Further external validation is needed before the model’s use can be recommended or its impact on patients can be fully assessed.
Extinction threshold for woody plants and regime shift in a biodiversity hotspot
Authors: Rigueira Dary Moreira Gonçalves , Mariano-Neto Eduardo 
Published: February 2024

Abstract

Loss of natural habitats is the main cause of global biodiversity decline. This process has led to local extinctions of different species, in some cases abruptly, revealing threshold responses. Such thresholds may be associated with a loss of resilience, representing a regime shift between two alternative states. In recent years, studies have reported the occurrence of thresholds in various biological groups sensitive to deforestation. However, the occurrence of an extinction threshold for a completely super-diverse community, such as rainforest woody plants, remains unknown. We aimed to assess the influence of habitat quantity on the richness of woody plants in fragmented landscapes of the Atlantic Forest. Eleven landscapes with different proportions of habitat (between 5–60%) were studied in different parts of the northern Atlantic Forest (Bahia, Brazil). In each landscape, eight plots of 250 m² were established and branches of individuals with a circumference at breast height (CAP) ≥ 8 cm were collected. An extinction threshold was observed for the entire community, about 30% of the remaining habitat. When the richest families were considered, species loss occurred both linearly and at the threshold. The occurrence of the threshold in a super-diverse community without turnover suggests a regime change triggered by habitat loss. We discuss the implications of this knowledge for the management of human-modified landscapes, guiding strategies aimed at maintaining or restoring native vegetation above the threshold.
Optimizing Electric Bill Savings: Integrating Peak Shaving, Frequency Regulation, and Battery Performance
Authors: Hayat Saad , Nawaz Aamir , Khan Muhammad Hassan , Mustafa Ehtasham 
Published: February 2024

Abstract
The study offers a method for reducing electric bills by combining peak shaving and frequency management with lithium-ion batteries. The integration of lithium-ion battery losses resulting from a dynamic model, cell deterioration, and power conditioning system losses along with the addition of the yearly cost model of uninterruptible power supply greatly improves the consumer’s comprehension of the electricity cost model. Utilizing the load profile of a business user, linear optimization is used on solely peak shaving model to explain how to improve the commercial customer’s generic electricity cost model. The CH75-6 lithium-ion battery losses combined with analytical considerations on Power Conditioning System losses are integrated into the already optimized model of the power bill. The mathematical results of the model revealed that the co-application of peak shaving, frequency controls, and other parameters such as the dynamic loss model, cell degradation constant, and power conditioning losses can assist commercial users in lowering their electricity bills.
Comparison of energy and nutrient intake with dietary guidance recommendations for older adults in rural communities and its relationship with oxidative stress levels: A latent class analysis study
Authors: Kong Weijuan , Jiang Ting , Ning Yanhua , LYU Xiongxiong , Li Meiman , Guo Yahong , Liu Haiyan , Shi Jing , Liu Lingna 
Published: February 2024

Abstract

Background The level of oxidative stress in the human body is related to diet and nutrient intake, and it is the common pathogenic mechanism of chronic diseases. Understanding the nutrient intake status and its relationship with oxidative stress is beneficial for addressing elder’s nutritional issues in the context of aging. This study aimed to describe the status of energy intake and intake of different nutrients and their relationship with oxidative stress through latent class analysis. Methods We invited 376 older residents from 3 rural communities to complete a questionnaire survey and collect blood samples in Ningxia Hui Autonomous Region, China, between April and August 2021. The participants completed questionnaires regarding their general characteristics, and dietary status, and venous blood was collected to detect biomarkers of oxidative stress. Latent class analysis was employed to identify distinct energy and nutrient intake group subgroups. Results The results revealed three classes, “imbalanced nutrient—high energy” (37.50%, imbalanced in intake of energy and nutrients with high energy and protein intake), “sufficient nutrient—low energy and protein” (18.35%, sufficient and balanced intake of other nutrients except for energy and protein), and “low nutrient” (44.15%, low intake of energy and various nutrients). Among the oxidative stress biomarkers, imbalanced nutrient—high energy had higher value than did the other classes for 8-iso-PGF2α; sufficient nutrient—low energy and protein valued higher than imbalanced nutrient—high energy and low nutrient classes for SOD. Conclusion Oxidative stress can be measured based on the different energy and nutrient intake classes and their predictors.
Heavy Metal Concentration in the Sera and Brain of Selected Wildlife Species – Eulipotyphla, Columbiformes, Pelecaniformes, Sciuromorpha
Authors: Igado Olumayowa Olawumi , Olopade Funmilayo Eniola , Omile Irene Chizubelu , Gilbert Taidinda Tashara , Obasa Adedunsola Adewunmi , Fatola Olanrewaju Ifeoluwa , Peter-Ajuzie Iheanyi Kemdirim , Adedokun Kehinde Iyanuoluwa , Olopade James Olukayode 
Published: February 2024

Abstract

Environmental pollution due to heavy metal pollution is of growing concern, due to the increased industrial activities. The release of these substances into the atmosphere poses a great risk to humans, animals and the ecosystem at large. This study assesses the metal concentration levels of nine metals (lead, nickel, magnesium, cadmium, chromium, manganese, cobalt, copper and iron) in the sera and different brain regions (cerebellum, cerebrum and brainstem) of the hedgehog (Eulipotyphla), pigeon (Columbiformes), cattle egret (Pelecaniformes) and two species of the squirrel (sciuromorpha) using Atomic Absorption Spectrophotometry. Results obtained showed that of all the metals tested for, magnesium had the highest concentration across all samples and regions in all animals tested. Metal levels appeared to be higher than those reported in some previous studies from other climes, except for cobalt where there was no detectable level in all the tissues tested. Values obtained were highest in the serum, more than the brain. There was no particular pattern to the concentration of the metals in the brain regions. Data obtained from this study will serve as an indicator of the level of environmental pollution going on, and the long-term effect it can have on wildlife behavioural patterns and consequently the ecosystem.