bluuebunny/crossref_metadata_2025_split huggingface dataset:
Age-related Changes in Multitasking Across the Lifespan
Authors: Humbeeck Nathan Van , Wilderode Mira Van , Kliegl Reinhold , Wieringen Astrid van , Krampe Ralf T. 
Published: December 2023

Abstract
We assessed lifespan development of multitasking in a sample of 187 individuals aged 8–82 years. Participants performed a visuo-spatial working memory (VSWM) task together with either postural control or reaction time (RT) tasks. Using criterion-referenced testing we individually adjusted difficulty levels for the VSWM task to control for single-task differences. Age-differences in single-task performances followed U-shaped patterns with young adults outperforming children and older adults. Multitasking manipulations yielded robust performance decrements in all component tasks. Presumably due to our adjustment of VSWM challenges, costs in this task were small and similar across age groups suggesting that age-differential costs found in earlier studies largely reflected differences already present during single-task performance. Age-differences in multitasking costs for concurrent tasks depended on specific combinations. For VSWM and RT task combinations increases in RT were the smallest for children but pronounced in adults highlighting the role of cognitive control processes. Stabilogram diffusion analysis of postural control demonstrated that long-term control mechanisms were affected by concurrent VSWM demands. This interference was pronounced in older adults supporting concepts of compensation or increased cognitive involvement in sensorimotor processes at older age. Our study demonstrates how a lifespan approach can delineate the explanatory scope of models of human multitasking.
Objective Evaluation for Relationship between Visual Fatigue and Tear Film Stability in Smartphone Use
Authors: Watanabe Maki , Hirota Masakazu , Takigawa Ryusei , Kato Kanako , Ikeda Yuka 
Published: December 2023

Abstract
Purpose:
To investigate whether tear film instability induces visual fatigue, we used the binocular fusion maintenance (BFM) test and non-invasive tear film break-up time (NI-BUT).
Methods:
Eleven young adult volunteers (age [mean ± standard deviation], 20.7 ± 1.4 years) participated in this study. BFM was assessed by measuring the transmittance of liquid crystals placed in front of the subject’s non-dominant eye when binocular fusion was broken, and non-dominant eye was shifted to heterophoric. The NI-BUT was determined using the distortion of the Meyer ring. The volunteers were administered the BFM, NI-BUT, and subjective symptom questionnaire before and after a 30-minute visual task.
Results:
BFM (pre vs. post: 0.95 ± 0.09 vs. 0.75 ± 0.16) was significantly lower in the post-visual task than in the pre-visual task (P = 0.012). NI-BUT (9.12 ± 1.00 s vs. 5.69 ± 3.11 s) was significantly shorter in the post-visual task than in the pre-visual task (P = 0.011). Total subjective eye symptom (2.91 ± 0.79 vs. 5.45 ± 2.02) was significantly greater in the post-visual task than in the pre-visual task (P = 0.012). The change in BFM (− 0.20 ± 0.18) was significantly and positively correlated with the change in NI-BUT (− 3.43 ± 3.19) (R2 = 0.385, P = 0.042) and was significantly and negatively correlated with the change in total subjective eye symptom score (2.54 ± 2.23) (R2 = 0.470, P = 0.020).
Conclusion:
The findings suggest that tear film instability induces visual fatigue objectively.
Preparation and evaluation of a temperature-sensitive cuelure nano-controlled release agent
Authors: Wang Aqiang , Peng Sihua , Zeng Bei , Lian Yuyang , Yang Shuyan , Jia Jingjing , Wang Bao , Zhang Qiongkuan , Ni Chengcheng , Liu Mingke , Tao Jie , Chen Junyu , Wu Qianxing , Yang Xiaofeng , Liao Jianjun , Zhou Shihao 
Published: December 2023

Abstract

Cuelure (CUE) is an attractant mainly targeting fruit fly pests and is currently widely used for fruit fly monitoring and control. However, the release speed and time of CUE are not controllable, leading to a large amount of it being wasted, which not only reduces its effectiveness but also increases the cost of pest control. In order to prolong the use time of CUE, improve the utilization rate of the bait, and reduce the cost of pest control. Taking Zeugodacus cucurbitae Coquillett as the research object, we develop a temperature-sensitive cuelure nano-controlled release agent, which can control the release rate through the change of environmental temperature. The results show that the temperature-sensitive cuelure nano-controlled release agent not only exhibits good temperature-sensitive controlled release performance, but also shows excellent stability under high-temperature treatment at 60 °C for a week, and the trapping rate of the attractant is 73%-75%. This study not only has great practical significance for the monitoring, early warning, and control of fruit fly pests but also provides a new theoretical basis for the development of insect attractants.
The effect of protein to lipid ratios on growth, digestibility, and feed utilization of striped bass (Morone saxatilis) raised in seawater at 21°C
Authors: Eliasid Nogueda Torres , Lazo Juan Pablo 
Published: December 2023

Abstract
A 12-week feeding trial was conducted to assess the effects of three protein levels (40%, 44%, and 48%) and two lipid levels (12% and 16%) on growth, feed utilization, muscle composition, apparent digestibility, and digestive enzyme activity of juvenile striped bass (Morone saxatilis) raised in seawater at 21°C. The results showed that performance in terms of specific growth rate (SGR), weight gain (g), and feed conversion ratio (FCR) were significantly higher (p < 0.05) for fish fed the 44:12 and 48:12 diets. These treatments also exhibited significantly higher feed intake. In contrast, fish fed the high-lipid diets exhibited significantly lower fed intake, hepatosomatic index (HSI), liposomatic index (LSI) and viscerosomatic index (VSI) compared to the low-lipid diets. Furthermore, significantly higher apparent digestibility coefficients (ADC %) were found for fish fed diets containing 12% lipids. A positive correlation was also observed between feed intake and the activity of trypsin (r = 0.56, p < 0.05) and chymotrypsin (r = 0.50, p < 0.05) in the pyloric caeca of the fish. Lipid content in muscle at the end of the feeding trail was not significantly affected by dietary lipid level. In conclusion, the results indicate that a diet with 48% protein and 12% lipids stimulates growth, increases feed intake, digestibility and enhances feed utilization in juvenile striped bass. Based on the results from the present study we can recommend formulating diets with a E:P ratio of 7.4 kcal/g of crude protein diet and not to exceed 8.2 kcal/ g of protein.
YOLOMH:You Only Look Once for Multi-task Perception Network High-efficiency
Authors: Liu Fang , Miao Jianxi , Sun Bowen , Su Weixing 
Published: December 2023

Abstract
Aiming at the requirements of high accuracy, lightweight and real-time performance of the panoptic driving perception system, this paper proposes an efficient multi-task network(YOLOMH). The network uses a shared encoder and three independent decoding heads to simultaneously complete the three major panoptic driving perception tasks of traffic object detection, road drivable area segmentation and road lane segmentation. Thanks to our innovative design of the YOLOMH network structure: first, we design an appropriate information input structure based on the differences information requirements between different tasks, and secondly, we propose a Hybrid Deep Atrous Spatial Pyramid Pooling(HDASPP) module to efficiently complete the feature fusion work of the neck network, and finally effective approaches such as anchor-free detection head and Depthwise Separable Convolution(DCN) are introduced into the network, making the network more efficient while being lightweight. Experimental results show that our model achieves competitive results in both accuracy and speed on the challenging BDD100K dataset, especially in terms of inference speed, The model’s inference speed on NVIDIA TESLA V100 is as high as 107 Frames Per Second(FPS), far exceeding the 49 FPS of the YOLOP network under the same experimental settings. The final visualization shows that YOLOMH can excellently complete the panoptic driving perception tasks, which is conducive to the safe and reliable autonomous driving of autonomous vehicles.
Impact of the gut microbiome on skin fibrosis: A Mendelian randomisation study
Authors: Zhao Zirui , Xu Zhongye , Lv Dongming , Rong Yanchao , Hu Zhicheng , Yin Rong , Dong Yunxian , Cao Xiaoling , Tang Bing 
Published: December 2023

Abstract
Objectives
Skin fibrosis is a lesion in the dermis causing to itching, pain, and psychological stress. The gut microbiome plays as an essential role in skin diseases developments. We conducted a Mendelian randomization study to determine the causal association between the gut microbiome and skin fibrosis.
Methods
We retrieved valid instrumental variables from the genome-wide association study (GWAS) files of the gut microbiome (n = 18340) conducted by the MiBioGen consortium. Skin fibrosis-associated data were downloaded from the GWAS Catalog. Subsequently, a two-sample Mendelian randomisation (MR) analysis was performed to determine whether the gut microbiome was related to skin fibrosis. A reverse MR analysis was also performed on the bacterial traits which were causally associated with skin fibrosis in the forward MR analysis. In addition, we performed an MR-Pleiotropy Residual Sum and Outlier analysis to remove outliers and a sensitivity analysis to verify our results.
Results
According to the inverse variance-weighted estimation, we identified that ten bacterial traits (Class Actinobacteria, Class Bacteroidia, family Bifidobacteriaceae, family Rikenellaceae, genus Lachnospiraceae (UCG004 group), genus Ruminococcaceae (UCG013 group), order Bacteroidales, order Bifidobacteriales, genus Peptococcus and genus Victivallis) were negatively correlated with skin fibrosis while five bacterial traits (genus Olsenella, genus Oscillospira, genus Turicibacter, genus Lachnospiraceae (NK4A136group), and genus Sellimonas) were positively correlated. No results were obtained from reverse MR analysis. No significant heterogeneity or horizontal pleiotropy was observed in MR analysis.
Conclusion
There is a causal association between the gut microbiome and skin fibrosis, indicating the existence of a gut–skin axis. This provides a new breakthrough point for mechanistic and clinical studies of skin fibrosis.
The causal association between body mass index and risk of gonarthrosis: A Mendelian randomization study
Authors: Zheng Zhi Xue , Zhao Xin , Bi Jing Tao , Cai Xuan , Liu Ya Qi 
Published: December 2023

Abstract
Objective
The study aimed to investigate the relationship between body mass index (BMI) and knee osteoarthritis, often referred to as gonarthrosis.
Methods
Two-sample Mendelian randomization (MR) analysis was performed using genome-wide association study (GWAS) summary data for BMI as the exposure and primary gonarthrosis with knee surgery as the outcome.
Results
Our study identified 106 SNPs significantly associated with primary gonarthrosis with knee surgery. MR-Egger regression revealed a significant causal link between BMI and primary gonarthrosis (MR Egger: p = 0.0001365, odds ratio (OR) 2.2632, 95%CI 1.5108–3.3904; weighted median: p = 6.162e-13, OR 2.4090, 95% CI 1.8959–3.0609). The IVW method provided evidence supporting a causal association between BMI and primary gonarthrosis (IVW: p = 9.475e-12, OR 2.1988, 95% CI 1.8638–2.5940; weighted mode: p = 2.21e-9, OR 2.8519, 95% CI 2.0842–3.9024). Cochran's Q test and the funnel plot indicated no evidence of heterogeneity or asymmetry. There was no evidence to suggest that genetic pleiotropy influenced the outcome (MR-Egger regression intercept = -8e-04, SE = 0.0052, P = 0.878).
Conclusion
The BMI may be a causal factor in the increased risk of primary gonarthrosis with knee surgery. These findings provide an opportunity to further explore the mechanisms underlying the impact of obesity on the risk of knee osteoarthritis.
Causal relationship between insomnia and both socio-economic status and individual behavior: a Mendelian randomization analysis
Authors: Wu Kuilin , Zhang Zongwang 
Published: December 2023

Abstract
Background: The relationship between socioeconomic status and individual behavior (SES/IB) and insomnia is receiving increasing attention. However, the causal relationship is still unclear.
Objective: To provide evidence for establishing feasible strategies for disease screening and prevention, we used Mendelian randomization (MR) design to evaluate the causal relationship between SES/IB and insomnia.
Method: We conducted a two-sample MR study to evaluate the causal effects of SES and IB on insomnia. The main analysis uses inverse variance weighting, while other MR methods include MR egger and weighted median. And various tests were conducted, including heterogenicity test, pleiotropy test, and leave-one-out test.
Result: The MR analysis results showed：Maternal smoking around birth (odds ratio(OR)=1.22;95% confidence interval (CI), 1.03-1.45; p =0.021)、Time spent watching television(OR=1.17;95%CI,1.11-1.24;P=1.21E-09) and Smoking status(OR=1.10;95%CI,1.04-1.17;P=0.0018 were positively correlated with the risk of insomnia. In addition, Educational attainment(OR=0.98;95%CI,0.97-0.99;P=5.68E-11), Average total household income before tax (OR=0.87;95%CI,0.83-0.91;P=4.90E-08), Fresh fruit consumption (OR=0.83;95%CI,0.70-1.00;P=0.047) and Age at first birth (OR=0.97;95%CI, 0.96-0.99; P =3.00E-05)were negatively correlated with the risk of insomnia.
Conclusion: Some SES/IB-related phenotypes have an impact on insomnia.
Prediction of ovarian cancer using artificial intelligence tools
Authors: Ayyoubzadeh Seyed Mohammad , Ahmadi Marjan , Yazdipour Alireza Banaye , Ghorbani-Bidkorpeh Fatemeh , Ahmadi Mahnaz 
Published: December 2023

Abstract

Purpose
Ovarian cancer is a common type of cancer and a leading cause of death in women. Therefore, accurate and fast prediction of ovarian tumors is crucial. One of the appropriate and precise methods for predicting and diagnosing this cancer is to build a model based on artificial intelligence methods. These methods provide a tool for predicting ovarian cancer according to the characteristics and conditions of each person.
Method
In this study, a dataset included records related to 171 cases of benign ovarian tumors and 178 records related to cases of ovarian cancer were analyzed. The dataset contains the records of blood test results and tumor markers of the patients. After data pre-processing, including removing outliers and replacing missing values, the weight of the effective factors was determined using information gain indices and the Gini index. In the next step, predictive models were created using Decision Trees, Support Vector Machine, Random Forest, and Artificial Neural Network models. The performance of these models was evaluated using the 10-fold cross-validation method using the indicators of accuracy, sensitivity, specificity, and the area under the ROC (Receiver operating characteristic) curve. Finally, by comparing the performance of the models, the best predictive model of ovarian cancer was selected.
Results
The most important predictive factors were HE4, CA125, and NEU. The Random Forest model was identified as the best predictive model with an accuracy of more than 86%. The predictive accuracy of Decision Tree, Support Vector Machine, and Artificial Neural Network models was estimated as 82.91%, 85.25%, and 79.35%, respectively. Various AI tools can be used with high accuracy and sensitivity in predicting ovarian cancer.
Conclusion
Therefore, the use of these tools can help specialists and patients with early, easier, and less expensive diagnosis of ovarian cancer. Future research can use AI by combining image data with serum biological indicators to develop new models and promote the diagnosis and treatment of ovarian cancer.
Internet addiction, perceived sleep quality and its determinants in a sample of Iranian medical university students
Authors: Jalilian Mohsen , Pakzad Reaz , Mirzaei Amin , Saeedfiroozabadi Malihe , Maleki Hadis , Shahbazi Parisa , Khorshidi Ali , Chenary Roghayeh 
Published: December 2023

Abstract
Background: Today, using the Internet is an integral part of daily life activities. Increasing of Internet use has occurred in different age groups, but it is more obvious among teenagers and young adults. The purpose of this study was to study of association between internet addiction and sleep quality in medical university students.
Methods: 400 students of Ilam University of Medical Sciences participated in this descriptive analytical study. Students were selected using simple random sampling method and according to the study entry criteria. Data were collected using Young's Internet Addiction test (AIT) and Pittsburgh Sleep Quality Index (PSQI). Simple linear regression and multiple regression tests were used to analyze the data. A significance level was considered as α = 0.05.
Results: The findings of study showed that 80% of students have mild, moderate and sever internet addiction. The average total sleep quality of students was in poor range (6.30±2.51). The mean of subjective sleep quality was in poor range (2.03 ±0.662) compared to other dimensions (p>0.05). Based on the results of simple linear regression, compared to normal people, mild (b:1.03;p:0.002) and moderate (b: 2.05; p<0.001) internet addiction had a significant association with poor total sleep quality. Also, graduate students had better sleep quality compared to undergraduate students (b:-1.03; p: 0.016). In addition, based on the multiple linear regression model adjusted for educational level compared to normal people, mild (b: 0.98; p: 0.003) and moderate (b: 1.97; p<0.001) addiction to the Internet has a significant association with poor total sleep quality.
Conclusions: Internet addiction is associated with poor sleep quality in college students. This disorder is more common in undergraduate students. Therefore, it seems necessary for this group of students to implement interventions related to modification of excessive Internet use behaviors.
Directly measured homogeneous HDL-Cholesterol in dyslipidaemic specimens: Is variability a cause for concern?
Authors: Sarkar Rajarshi 
Published: December 2023

Abstract
Background: Calculated low density lipoprotein cholesterol (LDL) is being increasingly reported by clinical laboratories even for dyslipidaemic subjects. Since every such calculation entails the estimation of high densitylipoprotein cholesterol (HDL), inaccuracy in HDL estimation can cause erroneous LDL results. This study aims to show if variability of directly measured HDL (D-HDL) on dyslipidaemic specimens is significant enough to cause misdiagnosis and mistreatment.
Methods:Newly diagnosed dyslipidaemic subjects were categorized as per Fredrickson’s classification, their D-HDL measured on three popular platforms, viz. AU5800, Alinity ci and Cobas Pure, then repeat tested after saline dilution. Mean of the three readings after saline dilution (C-LDL) was designated as the representative measurement.
Results: Mean Absolute Percent Variation (MAPV) between D-HDL and C-HDL for each class interval was found to increase with increasing Cholesterol and Triglycerides concentrations, most significantly for AU5800. Passing-Bablok regression, Bland-Altman plot and Receiver Operating Characteristic curves constructed for each dyslipidaemia phenotype revealed that increasing lipaemia affects the performance of all three platforms, which gets corrected after dilution in Type IV specimens, but not in the cases of Type I or Type V.
Conclusion: Variation in test results of D-HDL in dyslipidaemic specimens on most widely used platforms is a matter of concern as it might lead to misclassifications in diagnosis and treatment monitoring.
A Novel in-situ Dynamic Mechanical Analysis for Human Plantar Soft Tissue: The Device Design, Definition of Characteristics, Test Protocol, and Preliminary Results
Authors: Huang Ran , Wu Longyan , Tang Lisheng , Ning Xinyi , Zhu Jun , Ma Xin 
Published: December 2023

Abstract
The in-situ mechanical characterization of elastomers is not highly regarded due to the existence of a well-established set of sample-based standard tests for research and industry. However, there are certain situations or materials, like biological soft tissue, where an in-situ approach is necessary due to the impossibility of sampling from a living body. We have developed a dynamic mechanical analysis (DMA)-like device to approach in-vivo and in-situ multidimensional stress-strain properties of human plantar soft tissues. This work elucidates the operational mechanism of the novel measurement, with the definition of a new set of moduli, test standardization and protocol. Exploratory results of a volunteer’s living plantar, silica rubber samples are presented with well preciseness and consistence as expected.
Visual guidance technology of flying cars based on multilevel markers and depth
Authors: Chen Tanjie , SHAO JIARU , Zheng Zijun 
Published: December 2023

Abstract
Split-type flying car will play an important role in the future transportation. This paper adopts a guidance method that couples visual information and depth information, and improves the docking accuracy through the mutual cooperation of the drone and the vehicle. Firstly, a multi-level docking marker is designed to achieve adaptive target matching within different distances during the docking process. The marker has strong robustness and can adapt to complex scenes such as occlusion, strong light, and large angle tilting, providing the redundant corner points required for machine vision detection pose information accurately. Secondly, a three-dimensional pose estimation algorithm is proposed, which can introduce depth information to correct the homography matrix. The algorithm combines the advantages of strong robustness to multi-level marker detection and high accuracy of depth information, and can output millimeter-level precision pose information in different environments, different inclination angles, and different occlusions. Finally, a flying car model experiment was carried out, and the results showed that the guidance technology can obtain millimeter-level precise pose information during the entire process of long distance-near distance-completion of docking, thus realizing precise docking.
Excitation of tunable terahertz radiation from a mixture of nanoparticles in static magnetic field
Authors: Simon Moses , Chauhan Prashant 
Published: December 2023

Abstract
This communication deals with the analytical study of terahertz (THz) generation via beat-wave mechanism of two circularly symmetric Gaussian laser beams with frequencies \({\omega }_{1}\) and \({\omega }_{2}\) and wave vectors \({\overrightarrow{k}}_{1}\) and \({\overrightarrow{k}}_{2}\)simultaneously propagating through a mixture of spatially corrugated noble-metal nanoparticles (NPs). The mixture, consisting of spherical and cylindrical nanoparticles, is placed in argon gas under the influence of a static magnetic field. The two co-propagating laser beams impart a nonlinear ponderomotive force on electrons of the NPs, causing them to experience nonlinear oscillatory velocity. Further, the consequent nonlinear current density excites terahertz radiation at the beat frequency \(\omega (={\omega }_{1}-{\omega }_{2})\). Magnetic field influences the surface plasmon resonance condition associated with electrons of the nanoparticles due to enhancement in ponderomotive nonlinearities, thereby causing an increment in the amplitude of generated THz field. It is observed that the generated THz radiation has a strong dependence on the shape and size of the NPs in addition to the magnetic field strength. Cylindrical nanoparticles provide greater THz amplitude than spherical nanoparticles due to additional resonance modes, and combining both kinds of nanostructures further enhance the amplitude. THz radiations play an important role in biomedical and pharmaceutical fields, communications, security and THz spectroscopy.