bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lineage-based scaling of germline intercellular bridges during oogenesis
Authors: Shaikh Umayr , Sherlock Kathleen , Wilson Julia , Gilliland William , Lewellyn Lindsay 
Published: August 2024

ABSTRACT
The size of subcellular structures must be tightly controlled to maintain normal cell function. Despite its importance, few studies have determined how the size of organelles or other structures is maintained during development, when cells are growing, dividing and rearranging. The developing Drosophila egg chamber is a powerful model in which to study the relative growth rates of subcellular structures. The egg chamber contains a cluster of 16 germline cells, which are connected through intercellular bridges called ring canals. As the egg chamber grows, the germline cells and the ring canals that connect them increase in size. Here, we demonstrate that ring canal size scaling is related to lineage; the largest, ‘first-born’ ring canals increase in size at a relatively slower rate than ring canals derived from subsequent mitotic divisions. This lineage-based scaling relationship is maintained even if directed transport is reduced, ring canal size is altered, or in egg chambers with twice as many germline cells. Analysis of lines that produce larger or smaller mature eggs reveals that different strategies could be used to alter final egg size.
Gestational weight gain trajectories in patients with gestational diabetes mellitus: a retrospective cohort study
Authors: Liu Yue , Feng Xinxin , Wang Xia 
Published: August 2024

Aims/Background Gestational diabetes mellitus is a common pregnancy complication that affects approximately 14% of pregnancies worldwide and can lead to adverse maternal and neonatal outcomes. This study aimed to investigate the trajectories of gestational weight gain among gestational diabetes mellitus patients and to inform the development of effective weight management strategies. Methods Demographic and antenatal examination data from 1421 pregnant women diagnosed with gestational diabetes mellitus were retrospectively analysed. Quantitative data comparisons were performed using Chi-square tests, Fisher's exact test, t-tests, and one-way analysis of variance. Group-based trajectory modelling was employed to identify the trajectories of gestational weight gain among patients with gestational diabetes mellitus. Results This study revealed that pre-pregnancy body mass index and types of gestational diabetes mellitus significantly influence gestational weight gain (p < 0.05). Group-based trajectory modelling identified three distinct gestational weight gain trajectories. Patients with gestational diabetes mellitus demonstrated a continuous weight gain throughout pregnancy, while women who were overweight or obese before pregnancy were more likely to follow a low-speed growth trajectory. Women in the rapid growth trajectory group were more inclined to deliver by caesarean section and were more likely to give birth to macrosomic infants. Conclusion Our research underscores the importance of identifying and distinguishing between different gestational weight gain trajectories in pregnant women, thereby identifying high-risk groups, which is crucial for improving the health conditions of both mothers and newborns.
Analysis of electroencephalography characteristics during walking in stroke patients under different conditions: a cross-sectional study
Authors: Liu Ting , Luo Kailiang , Zhou Kun , Hu Zekai , Ji Yating , Feng Wuyi , Ma Shujie , Hu Jun 
Published: August 2024

Aims/Background Backward walking is gaining traction in rehabilitation therapy, showing promise as an intervention for stroke patients with walking difficulties. However, the brain activity patterns (neurophysiological mechanisms) underlying backward walking in these patients remain unclear. This study investigated the neurophysiological mechanism in stroke patients within 1 year of their stroke. Methods Twenty-four subjects walked forward and backward for 5 min on an 8-m track while their electroencephalographic signals were collected. The power values of each frequency band were compared during forward and backward walking, and the delta to alpha power ratio (DAR) was calculated. Results The results showed a significant increase in α-band activity within the frontal cortex during backward walking (p < 0.05). This increase correlated positively with scores on the Fugl-Meyer lower extremity motor function assessment scale. Similarly, α-band activity showed significant enhancement within the right parietal cortex during backward walking (p < 0.05). There were no significant differences between forward and backward walking states in δ, θ, and β wavebands across the entire brain region (p > 0.05). Additionally, the DAR was significantly lower during backward walking than during forward walking (p < 0.05). Conclusion This study suggests that backward walking may more effectively activate neural activity in the prefrontal and right posterior parietal cortices. This finding supports the potential of backward walking to enhance motor execution and walking function in stroke patients, thereby supporting its application as a rehabilitation method.
Deep Learning-Based System Combining Chest X-Ray and Computerized Tomography Images for COVID-19 Diagnosis
Authors: Ding Hui , Fan Lingyan , Zhang Jingfeng , Gao Guosheng 
Published: August 2024

Aims/Background: The coronavirus disease 2019 (COVID-19) pandemic has highlighted the need for accurate and efficient diagnostic methods. This study aims to improve COVID-19 detection by integrating chest X-ray (CXR) and computerized tomography (CT) images using deep learning techniques, further improving diagnostic accuracy by using a combined imaging approach. Methods: The study used two publicly accessible databases, COVID-19 Questionnaires for Understanding the Exposure (COVID-QU-Ex) and Integrated Clinical and Translational Cancer Foundation (iCTCF), containing CXR and CT images, respectively. The proposed system employed convolutional neural networks (CNNs) for classification, specifically EfficientNet and ResNet architectures. The data underwent preprocessing steps, including image resizing, Gaussian noise addition, and data augmentation. The dataset was divided into training, validation, and test sets. Gradient-weighted Class Activation Mapping (Grad-CAM) was used for model interpretability. Results: The EfficientNet-based models outperformed the ResNet-based models across all metrics. The highest accuracy achieved was 99.44% for CXR images and 99.81% for CT images with EfficientNetB5. The models also demonstrated high precision, recall, and F1 scores. For statistical significance, the p-values were less than 0.05, indicating that the results are significant. Conclusion: Integrating CXR and CT images using deep learning significantly improves the accuracy of COVID-19 diagnosis. The EfficientNet-based models, with their superior feature extraction capabilities, show better performance than ResNet models. Grad-CAM Visualizations provide insights into the model’s decision-making process, potentially reducing diagnostic errors and accelerating diagnosis processes. This approach can improve patient care and support healthcare systems in managing the pandemic more effectively.
Combination treatment with telitacicept, mycophenolate mofetil and glucocorticoids for immunoglobulin A nephropathy: A case report
Authors: Shen Yan , Yuan Jin , Chen Shuang , Zhang Yong-Feng , Yin Ling , Hong Qin , Zha Yan 
Published: August 2024

BACKGROUND
Telitacicept reduces B cell activation and abnormal immunoglobulin A (IgA) antibody production by inhibiting the activity of B lymphocyte stimulator (BLyS) and a proliferation-inducing ligand (APRIL), thereby decreasing IgA deposition in the glomeruli and local inflammatory response. This ultimately protects the kidneys from damage. This mechanism suggests that Telitacicept has potential efficacy in the treatment of IgA nephropathy.
CASE SUMMARY
We present the case of a 24-year-old female who was diagnosed with IgA nephropathy due to significant proteinuria and mild renal impairment. Pathologically, she exhibited focal proliferative glomerulonephritis. Treatment with angiotensin II receptor blocker, hormones, and mycophenolate mofetil did not lead to a significant improvement in her condition. However, upon the addition of telitacicept, the patient’s renal function recovered and her proteinuria rapidly reduced. Hormones were swiftly tapered and discontinued, with no occurrence of severe infections or related complications.
CONCLUSION
Telitacicept combined with hormones and mycophenolate mofetil may be a safe and effective induction therapy for IgA nephropathy.
Comprehensive interventions for adult cyclic vomiting syndrome complicated by superior mesenteric artery syndrome: A case report
Authors: Liu Bo , Sun Hui , Liu Yang , Yuan Min-Lan , Zhu Hong-Ru , Zhang Wei 
Published: August 2024

BACKGROUND
Cyclic vomiting syndrome (CVS) is a chronic functional gastrointestinal disorder involving the gut–brain interaction that is characterized by recurring episodes of nausea, vomiting, abdominal pain, and interspersed complete normal periods. Superior mesenteric artery (SMA) syndrome (SMAS) is a vascular condition in which the horizontal portion of the duodenum is compressed due to a reduced angle between the aorta and the SMA. This condition presents with symptoms similar to CVS, posing challenges in distinguishing between the two and often resulting in misdiagnosis or inappropriate treatment.
CASE SUMMARY
A 20-year-old female patient presented with recurrent episodes of vomiting and experienced a persistent fear of vomiting for the past 2 years. She adopted conscious dietary restrictions, which led to severe malnutrition. Initially, she was diagnosed with SMAS, as revealed by computed tomography angiography. Despite efforts to increase the angle between the aorta and the SMA through weight gain, her vomiting did not improve. Finally, she was diagnosed with comorbidities including CVS, SMAS and anxiety disorder. She underwent comprehensive interventions, including enteral and parenteral nutritional supplementation, administration of antiemetic and anti-anxiety agents, and participation in mindfulness-based cognitive therapy. The patient eventually experienced a notable improvement in both body weight and clinical symptoms.
CONCLUSION
We present a rare case of CVS in an adult complicated with SMAS and propose additional treatment with nutritional support, pharmacological intervention, and psychotherapy.
High-precision defocus detection through a bevel-axial stripe pattern projection method
Authors: Gao Tianyu , Wei Jingsong , Xu Xiaozhong , Huang Zhihong , Xue Yalong , Wei Wei , Liu Yongjun 
Published: August 2024

Fine micro/nanopattern structures are widely applied to optical elements such as gratings and metasurface elements. These structures are generally fabricated through a high numerical aperture (NA) laser-writing lithography system. During the laser writing, the sample will defocus due to the up-and-down motion errors of the motorized stage. In this work, a high-precision defocus detection module with a bevel-axial stripe pattern projection method has been established. The theoretical calculations and experimental results indicate that, for a laser-writing system with a projection light source wavelength of 405 nm and objective lens with an NA of 0.80, the defocus detection accuracy is 40 nm and the defocus detection range is 20 µm, which can meet the requirements for a high NA laser-writing system. This work can be applied to autofocusing or autotracking of a direct laser-writing lithography system.
Geospatial patterns, and individual and community levels factors of cesarean section deliveries in Ethiopia: A spatial and multilevel analysis
Authors: Endawkie Abel , Kebede Shimels Derso , Kebede Natnael , Mihiretu Mengistu Mera , Bekele Enyew Ermias , Ayele Kokeb , Asmare Lakew , Bayou Fekade Demeke , Arefaynie Mastewal , Tsega Yawkal 
Published: August 2024

Background
Cesarean Section (CS) is the most popular surgery worldwide in obstetric care to save a mother’s or the fetus’s life. The prevalence of CS delivery in Ethiopia was 0.7% and 1.9% in 2000 and 2016 respectively and its spatial distribution and variation in Ethiopia are limited. This study provides evidence for healthcare providers and pregnant women on the national CS geospatial distribution and variation to promote evidence-based decision-making and improve maternal and neonatal outcomes. Therefore, this study aimed to determine geospatial patterns and individual and community-level factors of CS deliveries in Ethiopia.

Method
A secondary data analysis of 5,527 weighted samples of mothers using the 2019 Ethiopian mini demographic and health survey was conducted. The spatial hotspot analysis using Getis-Ord Gi* hot spot analysis of ArcGIS version 10.7.1 was used to show the spatial cluster of CS and multilevel mixed effect logistic regression analyses were employed. Statistical significance was declared at p-value <0.05 and adjusted odds ratio (AOR) with 95% confidence interval (CI) was reported.

Result
The prevalence of CS delivery in Ethiopia was 5.4% with 95%CI (4.6%, 6.4%). The spatial autocorrelation shows CS was clustered in Ethiopia (global Moran’s index = 1.009, and p-value<0.001). Spatial hotspot indicates CS was prevalent in Addis Ababa, Diredewa, Oromo, and Somali regions. The odds of CS delivery were higher among mothers aged 24–35: AOR = 1.98, 95% CI (1.3, 3.1), and 35–49: AOR = 3.7, 95% CI(2.2, 6.1), live with female household heads: AOR = 1.9, 95% CI (1.2, 3.1), mothers with primary AOR = 1.6, 95% CI (1.07, 2.7), secondary: AOR = 2.4, 95% CI (1.3, 4.25) and higher education: AOR = 2.06, 95% CI (1.03, 4.2), multiple births: AOR = 8.1, 95% CI (3.4, 19.74), mothers in Addis Ababa: AOR = 3.4, 95% CI (1.1, 11.9) and Diredewa: AOR = 7, 95% CI (1.23, 40.7) as compared to their counterparts.

Conclusion
In Ethiopia, CS deliveries remain below the World Health Organization estimate with distinct geospatial variation. Geographically, CS delivery is concentrated in urban areas like Addis Ababa and Diredewa, as well as in parts of the Somali and Oromia regions. Maternal age, female household head, Muslim religion, higher educational status, and multiple births at the individual level, and region at the community level were factors of CS delivery in Ethiopia. Therefore, efforts should be geared towards strategies and interventions to ensure fair access to CS delivery in line with WHO recommendations, especially in the regions where the CS delivery rate is below WHO estimates in Tigray, Amhara, Afar, and Benishangul Gumze regions.
Older patients with vertebral and pelvic fractures: Study protocol of a clinical cohort
Authors: Roigk Patrick , Leonhardt Rebekka , Lindemann Ulrich , Abel Bastian , Büchele Gisela , Rothenbacher Dietrich , Koschate Jessica , Schlotmann Julia , Elsayed Mohamed , Zieschang Tania , Laurentius Thea , Bollheimer Cornelius , Becker Clemens , Rapp Kilian 
Published: August 2024

Background
Vertebral and pelvic fractures are associated with a significant burden of negative health and psychosocial outcomes. The number of vertebral and pelvic fractures is increasing in an aging society. Vertebral and pelvic fractures are increasingly significant injuries for individuals and society. However, few epidemiological studies have examined the clinical course of vertebral and pelvic fractures. This is the protocol for a study that observes patients who have been admitted to the hospital with an incident vertebral or pelvic fracture for a period of 12 months.

Methods
The observational cohort study is conducted at three study sites in Germany. Patients affected by vertebral or pelvic fractures are recruited within the first few days of hospital admission. Data collection takes place at four-time points: baseline, before discharge, after 4 months, and after 12 months after admission to the hospital. Particular emphasis is laid on the assessment of the fall mechanisms, physical function, physical activity, life space, mobility, treatment approach, and quality of life. The hospital stay involves the collection of biomaterials (blood and urine).

Discussion
The study aims to enhance understanding of the clinical progression and outcomes in patients with fractures in the vertebrae or pelvis.
Vaccine practices, literacy, and hesitancy among parents in the United Arab Emirates
Authors: Barqawi Hiba Jawdat , Samara Kamel A. , Kannas Samah Mohamed , Habbal Omar , AlSarraf Nada A. , Dreezi Mohammad A. , Abu-Gharbieh Eman 
Published: August 2024

Background
Immunisation is one of public health’s greatest success stories, yet, annually, 20 million children miss out entirely or partially on routine immunisation. National immunisation estimates have the United Arab Emirates (UAE) lagging behind with 4% of children under the age of 1 not having received any vaccines. Vaccine hesitancy is considered one of the biggest barriers to vaccination. This study aims to evaluate the UAE’s parents’ vaccination attitudes and practices as well as estimate vaccine hesitancy’s prevalence and determinants.

Methodology
This cross-sectional, descriptive study collected data from parents across the UAE during the months of March and April 2024. The 60-item questionnaire included the Parental Attitudes towards Childhood Vaccines scale (PACV), the Vaccine Hesitancy Scale, and the Digital Vaccine Literacy (DVL) scale. Univariate, bivariate (chi-squared test), and multivariate (logistic regression) analyses were conducted.

Results
A total of 550 responses were retained. 84.55% of participants were female (n = 465/550), half were middle-aged (31–45 years old), and 21.09% (n = 116/550) were healthcare workers. 94.36% (n = 519/550) had their child/children receive all mandated vaccines. Only 39.82% (n = 219/550) found their level of knowledge about childhood vaccinations to be good/excellent. 70.11% (n = 386/550) of participants had high digital vaccine literacy. More than 95% had positive attitudes towards measles, meningitis, and pertussis vaccines. 14.00% (n = 77/550) were identified as vaccine-hesitant according to the PACV. Overall, using general practitioner/ paediatrician as a knowledge source, digital vaccine literacy, perceived children’s vaccine knowledge, and nationality were associated with lower vaccine hesitancy status.

Conclusion
Vaccine hesitancy exists and is prevalent in the UAE; however, the majority of participants reported high trust in vaccines, the local healthcare systems and physicians. Vaccine hesitancy can be tackled but will require tailored solutions and proactive healthcare workers.
Wood dust and risk of leukemia: Systematic review and meta-analysis
Authors: Soleimani Yaser , Daraei Mahdi , Sadeghi Parniyan , Khazali Alireza , Rostami Hanieh , Mahmoudi Sheyda , Jarrahi Alireza Mosavi , Taherian Mohammad Reza , Jorjani Goljamal , Bahari Nasser 
Published: August 2024

ObjectivesThis study aimed to perform a systematic review and meta-analysis to investigate the relationship between wood dust exposure and leukemia. The objectives included synthesizing available evidence, assessing its quality, identifying potential sources of heterogeneity, and drawing conclusions regarding the association between wood dust and leukemia.MethodsA systematic literature search was conducted to identify studies meeting that report on the association between wood dust and leukemia. The Joanna Briggs Institute Critical Appraisal tools were employed to ensure robust quality assessment. Meta-analysis, using random-effects models, synthesized evidence from studies with low risk of bias. Overall odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Subgroup analyses explored potential sources of heterogeneity.ResultsThe meta-analysis included a comprehensive review of various study types, encompassing 7 studies that examined the association between wood dust exposure and leukemia risk. The analysis revealed a statistically significant positive association, with an overall odds ratio (OR) of 1.56 (95% CI: 1.15–2.12). This indicates that individuals exposed to wood dust are 1.56 times more likely to develop leukemia compared to those not exposed, with the 95% confidence interval ranging from 1.15 to 2.12, highlighting a substantial risk elevation across different study designs. Quality assessment using The Joanna Briggs Institute Critical Appraisal tools demonstrated a low risk of bias across all included studies, enhancing the credibility of the observed association. Subgroup analyses were conducted to explore potential sources of heterogeneity within the studies. Notably, subgroup analysis based on the year of the study revealed significant differences, as indicated by an I^2 value of 87%. The robustness of these results underscores the importance of addressing wood dust exposure as an occupational hazard, particularly in industries related to woodworking and forestry.ConclusionThis meta-analysis provides robust evidence supporting an increased risk of leukemia associated with wood dust exposure implying proactive measures in people exposed to dust.
Validation of activity trackers to estimate energy expenditure in older adults with cardiovascular risk factors
Authors: Rieckmann Alina , Jordan Bas , Burczik Friederike , Meixner Jacqueline , Thiel Christian 
Published: August 2024

ObjectivesTo compare different types of activity trackers recording physical activity energy expenditure (PAEE) and examine their criterion validity against indirect calorimetry (IC) as the gold standard in adults over 60 years of age with a special focus on women with cardiovascular risk.DesignSynchronous registrations of PAEE were performed with up to four different devices to determine criterion validity against IC while participants performed a protocol of simulated activities in a laboratory setting.MethodThirty-four participants (25 women, 9 men) with at least a light cardiac risk performed a protocol of simulated activities in a laboratory setting (daily living activities, cycle ergometer test). PAEE was simultaneously assessed by IC, two research-grade activity trackers (ActiGraph-wGT3X-BT and Actiheart-4) and two consumer-level activity trackers (OMRON pedometer and Fitbit Charge-3). Tracker-derived PAEE was compared with PAEE calculated from IC descriptively and by Bland–Altman plots.ResultsThe ActiGraph (0.7 ± 0.4 kcal/min), the Actiheart (1.1 ± 0.6 kcal/min) and the OMRON (0.8 ± 0.6 kcal/min) underestimated, while the Fitbit (3.4 ± 1.2 kcal/min) overestimated PAEE compared to IC-PAEE (2.0 ± 0.5 kcal/min). The Bland–Altman limits of agreement (LoA) against IC were +0.5/+2.2 kcal/min for the ActiGraph, -0.3/+2.1 kcal/min for the Actiheart, -3.7/+1.0 kcal/min for the Fitbit, and -0.5/+2.9 kcal/min for the OMRON. The magnitude of the deviation varied considerably depending on the activity (e.g. walking, cleaning, cycle ergometer test).ConclusionsThe research-grade activity trackers estimated PAEE with higher validity than the commercially available activity trackers. The partly very wide LoA have to be critically considered when assessing PAEE in the context of health service research, as individual Physical Activity behaviour may be under- or overestimated.