bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Positive Effect of Internet Use on Mental Health in Older Adults A Nationally Representative Cross-Sectional Survey
Authors: zuo xinyi , chen yifang 
Published: July 2024

Abstract

Background
There is growing evidence in Europe such as Germany and American discovered that the internet has beneficial effects on the mental health of older people (aged ≥ 60 years); however, the evidence is inconclusive, and the underlying mechanisms are poorly understood.
Objective
The aim of this cross-sectional survey was to understand the patterns of internet use and measure their associations with the risk of depression in China from two dimensions: the reasons for using the internet use and types of devices used. In addition, this study explored the relationship between internet use and depression risk in elderly people at the individual and provincial levels and in rural and urban subgroups.
Methods
The survey of CHARLS used a multistage probability-proportional-to-size (PPS) sampling technique. Province-level socioeconomic characteristics were merged with microdata for respondents over 60 years of age from the 2020 China Health and Retirement Longitudinal Study (CHARLS 2020) Wave 5 (n = 10,036) by author. The respondents were asked whether they used the internet, their reasons for using the internet and the types of internet devices used. Risk of depression was assessed using the 10-item Center for Epidemiological Studies Depression Scale (CES-D 10). The chi-square test was used to explore whether internet use was associated with mental health status. A binary logistic regression model was used to evaluate this association further after controlling for confounding factors.
Results
Overall, 24.2% (2426/10036) of the participants over 60 years of age reported using the internet. Regression analyses revealed that older adults who used the internet (OR = 0.723, 95% CI: 0.607–0.863, p < .001) had a lower risk of depression than did those who did not use the internet. In addition, older adults who were female (P < .005), were single (P < .001), lived in a rural area (P < .001), had poor self-rated health (SRH) (P < .001), had no retirement pension (P < .001) had a greater risk of depression. For province-level characteristics, older adults who lived in provinces in the first quartile (P < .005) of gross domestic product (GDP) per capita were more likely to experience depressive symptoms while the number of beds in medical institutions per 10,000 persons shows no effect. In the binary logistic regression analysis of the urban and rural subgroups separately, the results are indicated Internet use was negatively associated with risks of depression, especially in rural(P < .001) but not in urban(P = .095) participants. And none of the participants in the rural subgroup reported using a laptop.
Conclusions
Internet use had a positive effect on depression, especially in rural but not in urban participants. And the rate of ownership of internet devices also remains low among older Chinese people in rural area. Therefore, rural-urban disparities should be considered when designing strategies to encourage moderate Internet use.
Subtalar arthroscopy-assisted MIPO technique for the treatment of Sanders type Ⅱ and Ⅲ calcaneal fractures via the sinus tarsi approach: A retrospective study
Authors: Hu Xueliang , Cao Shanshan , Dong Jiangtao 
Published: July 2024

Abstract

Background: To explore the efficacy of internal fixation with Minimally invasive plate osteosynthesis (MIPO) technology through the sinus tarsi approach assisted by subtalar arthroscopy in the treatment of Sanders type Ⅱand Ⅲ calcaneal fractures.
Methods: A retrospective analysis was conducted on the data of 55 patients with Sanders type II and III calcaneal fractures admitted to the Cangzhou Clinical College of Integrated Traditional Chinese and Western Medicine of Hebei Medical University from January 2023 to March 2024. The patients were divided into three groups based on different treatment methods: subtalar arthroscopy-assisted (MIPO technology) internal fixation treatment through the sinus tarsi approach (arthroscopic group, 17 patients), the sinus tarsi approach (STA group, 20 patients), and the extensile lateral approach (ELA group, 18 patients). This study compared the preoperative waiting time for swelling reduction, surgical operation time, incidence of incision complications, fracture reduction degree, follow-up time, and surgical score among three groups of patients.
Results:There were no statistically significant differences in the preoperative general information among the three groups of patients, making them comparable. In terms of surgical operation time, X-ray findings, and differences in dorsiflexion and plantarflexion, no significant differences were observed among the groups. The incidence of incision complications, postoperative heel widening compared to that on the contralateral side, and differences in the varus and valgus angles were lower in the arthroscopy group than in the STA group and significantly lower in the STA group than in the ELA group. The visual analogue scale (VAS) score of the postoperative arthroscopy group was lower than that of the other two groups, while the American Orthopedic Foot and Ankle Society (AOFAS) score was greater in the arthroscopy group than in the other two groups.
Conclusion: Subtalar arthroscopy-assisted MIPO technology for internal fixation using the sinus tarsi approach is a promising method for treating Sanders type II and III fractures. This approach has benefits such as less trauma, early treatment, and effective fracture reduction. It is particularly advantageous for young adults or athletes because it minimizes incision complications and reduces tissue scarring.
A bilateral fetal origin of the posterior cerebral artery coexisting with an absent A1 segment of the anterior cerebral artery: A rare combination of variants with critical clinical consequences
Authors: Triantafyllou George , Melissanidis Savvas , Papanagiotou Panagiotis , Tsakotos George , Kalamatianos Theodosis , Vassiou Katerina , Piagkou Maria 
Published: July 2024

Abstract

The cerebral arterial circle variations are well-described due to their clinical significance for neurosurgeons and neuroradiologists. In this imaging report, we describe the unusual coexistence of three cerebral variants incidentally identified during magnetic resonance angiography (MRA) of a 44-year-old female patient. The right-sided first segment (A1) of the anterior cerebral artery (ACA) was absent, and the posterior cerebral arteries (PCAs) were bilaterally originating from the internal carotid arteries (a fetal-type origin). The coexistence of these variants is rare, and they significantly disrupt the patient’s primary collateral pathway. The clinical significance and consequences of such variants after stroke or transient ischemic attack cannot be overstated, underscoring the importance of the current imaging finding in understanding and managing these conditions.
Construction of magnetic Ag3PO4/Fe3O4/Chitosan polymer composite with enhanced visible-light-driven photocatalytic activity for the Methylene blue dye degradation
Authors: Somasundaram Annette Jayam , Elanthamilan Elaiyappillai , Wang Sea-Fue , Lydia I. Sharmila 
Published: July 2024

Abstract

The present study employed the simple co-precipitation approach followed by ultrasonication to generate a composite material consisting of magnetic Ag3PO4/Fe3O4/Chitosan (CS). The magnetic Ag3PO4/Fe3O4/CS composite was characterized using the Fourier transform infrared (FTIR), scanning electron microscopy (SEM), X-ray diffraction (XRD), vibrating sample magnetometer (VSM), and X-ray photoelectron spectroscopy (XPS) methods. The magnetic composite was evaluated as a photocatalyst for methylene blue (MB) degradation under visible light irradiation. The investigation also focused on optimizing the photocatalyst dose, concentration fluctuation, and stability to enhance the reaction conditions for dye degradation. The magnetic Ag3PO4/Fe3O4/CS composite exhibited robust photocatalytic activity for the degradation of MB, with a removal efficiency of 95%. Furthermore, the composite demonstrated exceptional recyclability and reusability while experiencing no degradation in catalytic activity. The results of this study will aid in the advancement of environmentally friendly nanotechnology by enabling the production of easily separable magnetic Ag3PO4/Fe3O4/CS composite as heterogeneous catalysts.
Live cell protein imaging of tandem complemented-GFP11-tagged Coiled-coil domain-containing protein-124 identifies this factor in G3BP1-induced stress-granules.
Authors: Hacıbeyoğlu Kübra , Öztürk Merve Tuzlakoğlu , Arslan Özge , Tazebay Uygar Halis 
Published: July 2024

Abstract

Coiled-coil domain-containing 124 protein is a multifunctional RNA-binding factor, and it was previously reported to interact with various biomolecular complexes localized at diverse subcellular locations, such as the ribosome, centrosome, midbody, and nucleoli. We aimed to better characterize the subcellular CCDC124 translocation by labelling this protein with a fluorescent tag, followed by laser scanning confocal microscopy methods. As traditional GFP-tagging of small proteins such as CCDC124 often faces limitations like potential structural perturbations of labeled proteins, and interference of the fluorescent-tag with their endogenous cellular functions, we aimed to label CCDC124 with the smallest possible split-GFP associated protein-tagging system (GFP11/GFP1-10) for better characterization of its subcellular localizations and its translocation dynamics. By recombinant DNA techniques we generated CCDC124-constructs labelled with either single of four tandem copies of GFP11 (GFP11x1::CCDC124, GFP11x4::CCDC124, or CCDC124::GFP11x4). We then cotransfected U2OS cells with these split-GFP constructs (GFP11x1(or X4)::CCDC124/GFP1-10) and analyzed subcellular localization of CCDC124 protein by laser scanning confocal microscopy. Tagging CCDC124 with four tandem copies of a 16-amino acid short GFP-derived peptide-tag (GFP11X4::CCDC124) allowed better characterization of the subcellular localization of CCDC124 protein in our model human bone osteosarcoma (U2OS) cells. Thus, by this novel methodology we successfully identified GFP11x4::CCDC124 molecules in G3BP1-overexpression induced stress-granules by live cell protein imaging for the first time. Our findings propose CCDC124 as a novel component of the stress granule which is a membraneless organelle involved in translational shut-down in response to cellular stress.
A preliminary formula for calculating sediment incipient velocity at concave bank slope of river bend considering the effects of circulation and water flow momentum variations
Authors: Meng Shaomin , Liu Xiaomin , Liu Tingxi , Yang Yaotian , Yang Jiayun , Ji Honglan , Li Chao , Luo Qiang 
Published: July 2024

Abstract

The transverse deformation of a riverbed is a natural phenomenon of river channel evolution. Sediment transport is the vehicle for the interactions between the water flow and the banks of a river bend, and it affects the formation, disappearance, and evolution of the river bend. To further investigate the sediment incipient motion on the concave bank slope of a river bend, an equation representing the equilibrium of forces on a sediment particle at the critical incipient motion was established using mechanical analysis and probability theory. Based on this equation and the assumption of a sliding mode of the incipient motion, the effects of the circulation and water flow momentum variations in a river bend in addition to conventionally considered forces on the sediment incipient motion were considered. Illustrations and physical diagrams of the forces on a sediment particle and its motion initiation process were clearly described. A formula representing the sediment incipient velocity on the sloped concave bank of a river bend was derived theoretically. The derived formula predictions agreed well with available experimental data. The Pearson correlation coefficient was > 0.87. The overall mean absolute error was 17.6% < 30%, which corresponded to an improvement in accuracy of 7.17% compared with the predictions using the formula proposed by Li. The factors affecting the sediment incipient velocity were examined. For a given flow rate and sediment particle size, the sediment incipient velocity increases with the increase in the gradient coefficient of a concave bank slope of a river bend. For a given flow rate and gradient coefficient, the sediment incipient velocity increases with increasing particle size. The proposed formula meets the calculation accuracy requirement and provides a theoretical reference for sediment transport in river bends.
Improvement of seed germination and early growth of Caucasian whortleberry (Vaccinium arctostaphylos L.) by plant growth promoting rhizobacteria and cold stratification
Authors: Rostamikia Younes , Teimouri Maryam , Jafari Farnoosh 
Published: July 2024

Abstract

Vaccinium arctostaphylos is a threatened species in Caspian forests of Iran that its seeds germinate in a long time due to internal dormancy. The purpose of this research was to investigate the effects of plant growth-promoting rhizobacteria and the cold stratification periods on seed germination of Vaccinium arctostaphylos. The seeds were inoculated with growth-promoting bacteria including Bacillus subtilis, Enterobacter cloacae, and Pseudomonas putida and combination (co–inoculation) of all strains. Then they were subjected to cold stratification in a refrigerator at 4 ± 1°C for 0, 1, 2, 3, 4 and 5 months. At the end of periods, seeds were sown in polyethylene bags (15 cm×8 cm) containing cocopeat, perlite, and sand (1:1:2) and were placed in greenhouse with temperature of 22 and 25°C, and relative humidity of 60% and 70%, respectively. After 40 days, germination percentage, germination speed, and seed vigor index (SVI) were calculated. Results showed that, bacteria inoculation and their interactions affected germination traits. Germination percentage ranged from 0 to 58.50%. Both inoculation and CS had positive effect on Germination percentage. The highest percentages of seed germination (57.50–58.50%) and speed of germination (2.26 n/d) belonged to co-inoculated seeds by the combination of all bacterial along with 4 and 5 months of cold stratification periods, respectively. The maximum shoot length (23. 25 mm), root length (17.98 mm), and seed vigor index (24.12) were recorded for co-inoculated seeds by the combination of all bacterial inoculants and five months of cold stratification. The results confirmed to overcome seed dormancy, increase of seed germination components, and early seedling growth of V. arctostaphylos, Plant growth promoting rhizobacteria is better to be applied in combination with cold stratification.
Prediction of Atrial Fibrillation recurrence after catheter ablation. An explicative machine learning approach incorporating epicardial adipose tissue volume.
Authors: Castro-García José Miguel , Garfias-Baladrón María Javiera , Adarve-Castro Antonio , Trigueros-Buil Helena , Palazón-Ruíz Álvaro , Ureña-Vacas Almudena 
Published: July 2024

Abstract

Purpose: Atrial fibrillation (AF) is a common arrhythmia with increasing prevalence and significant clinical impact. Catheter ablation has emerged as a treatment option for drug-resistant AF, with variable success rates. This study aimed to develop a machine learning-based predictive model incorporating interatrial, periatrial, and epicardial adipose tissue volumes to predict AF recurrence after pulmonary vein ablation.
Methods: This retrospective cohort study included patients who underwent a first ablation procedure between 2017 and 2022. Computed tomography (CT) scans were used to measure left atrial volume (LAV), periatrial (PAT), interatrial (IAT) and (EAT) epicardial adipose tissue volumes. Two models were created and trained under three machine learning techniques. Receiver Operating Characteristic (ROC) curve analysis, accuracy, precision, recall and F1-score were evaluated. SHapley Additive exPlanations (SHAP) analysis was also conducted.
Results: From the initial 85 patients, 69 with complete follow-up and CT scan quality were included. Persistent AF, increased left atrial, PAT and IAT volumes were significantly associated with recurrence. The model including clinical and radiological variables achieved accuracies of 0.86, 0.66, and 0.86 and AUCs of 0.91, 0.87, and 0.92 in the testing group by using MLP Classifier Neural Network, Naïve Bayes, and Logistic Regression, respectively. SHAP analysis emphasized the LAV, PAT volume and AF type for recurrence prediction.
Conclusion: This study presents a machine learning explicative approach incorporating cardiac adipose tissue volumes for predicting AF post-ablation recurrence. The logistic regression model including clinical and radiological variables demonstrated the highest performance, highlighting the potential of using multimodal data for post-ablation recurrence prediction.
Analysis of the Associations of the rs12504538 and rs6824447 Polymorphisms of the Elovl6 Gene with Estimated Elongase and Desaturase Activity in Gestational Diabetes Mellitus Patients
Authors: Muñoz-Nava Manuel A. , Araujo Martha E. Fajardo , Perez-Luque Elva , Cardona-Alvarado Monica Irasú , Ramírez-Chávez Enrique , Molina-Torres Jorge 
Published: July 2024

Abstract

Background.
This study aimed to investigate the possible associations of the rs12504538 and rs6824447 polymorphisms of the Elovl6 gene with estimated elongase and desaturase activity and saturated fatty acid concentrations in Mexican women with gestational diabetes mellitus (GDM).
Methods
. We recruited 172 women in the second and third trimesters of pregnancy who had undergone an oral glucose tolerance test, including 66 who had diagnosed with GDM according to the 2016 ADA criteria and 106 who had normal glucose tolerance test results, from the General Hospital and Health Centers of the Health Ministry of Guanajuato, México. Participants were matched by gestational week. Data on age, gestational week, and anthropometric characteristics were collected. Blood samples were drawn after an overnight fast for the measurement of serum glucose, lipid, NEFA, serum fatty acid, and insulin levels; SNP genotyping and quantification of fatty acids was performed, and elongase and desaturase activity was estimated.
Results.
With the exception of HDL-cholesterol, all variables, including NEFA levels, were significantly greater in the GDM group than in the non-GDM group. The rs6824447 polymorphism of the Elovl6 gene, an age > 25 years, and HOMA-IR levels were associated with the development of GDM (OR = 5.1, 95% CI 1.56–17.1, p = 0.006; OR = 4.89, 95% CI 1.65–14.4, p = 0.003; OR = 34.1 95% CI 8.7–133, p < 0.000001, respectively). Palmitic acid (OR = 1.08; 95% CI: 1.06–1.11; p < 0.001) and oleic acid (OR = 1.17; 95% CI: 1.14–1.2; p < 0.001) concentrations were also associated with the development of GDM. No differences in the estimated elongase and desaturase activity among the non-GDM and GDM groups were found, and only the activity of Δ9D SCD18 desaturase was marginally high in GDM patients (p = 0.050).
Conclusion.
The rs6824447Elovl6 polymorphism is associated with the development of GDM, as are high serum palmitic acid, oleic acid, and stearic acid concentrations and estimated Δ9D SCD18 desaturase activity.
When spring and autumn frosts coincide: their limited impact on ecosystem carbon fluxes
Authors: Wan Shiqiang , Han Juanjuan , Tan Chaowei , Ru Jingyi , Song Jian 
Published: July 2024

Abstract

Frosts, increasingly prevalent due to global warming, have the potential to negate the carbon storage benefits of an extended growing season, thus exacerbating global warming. However, existing research primarily targets dominant species, with limited evidence on carbon fluxes at the ecosystem scale. Using a manipulative experiment simulating 7-day frosts in a temperate grassland, we found that, frosts produced minimal impact on gross ecosystem productivity (GEP) and ecosystem respiration (ER), but altered their difference (i.e., net ecosystem productivity, NEP), and this effect persisted throughout the growing season. During the growing seasons excluding frost periods, spring frosts increased NEP, while autumn frosts decreased it, and the combination of both frosts neutralized NEP. The early-stage (2018-2020) impacts of frosts on NEP may be attributed to plant eco-physiological changes, whereas late-stage (2021-2023) impacts were explained by shifts in plant community structure. Our findings suggest that more frequent frosts in both seasons may not increase carbon emissions in temperate grasslands. Understanding these patterns is crucial for predicting carbon balance and developing effective climate-change mitigation strategies in response to the future warmer climate.
GatherNet: The Lightest Convolutional Neural Network Architecture So far
Authors: Fan Wenkang , Luo Xiongbiao 
Published: July 2024

Abstract

It is generally difficult to establish convolutional neural networks with many operations on mobile devices due to their limited memory and computation resources. This paper proposes a novel Gather module that combines depthwise separable convolution and standard convolution with Ghost module to generate feature maps cheaply and efficiently and uses channel shuffle to rearrange these learned feature maps to improve the information flow between different feature channels. Based on the Gather module, we construct a novel network architecture called GatherNet which is the lightest convolutional neural network architecture so far. We also introduce a hard-swish activation function to effectively solve the data collapse when low-dimensional features are embedded in a high-dimensional space during training. Three benchmark datasets of CIFAR-10, ImageNet-1K, and VOC are used to evaluate our network, with the validation results showing that our proposed GatherNet achieves competitive classification and detection results with much fewer weight parameters than state-of-the-art lightweight network models. Particularly, our GatherNet works much better on a small set of training samples than other lightweight models and still shows the best performance with much fewer parameters and better accuracy when applying it to ocular surface disease recognition. The pre-trained GatherNet model with its code is available at GitHub: https://github.com/Rchen3233/GatherNet.