bluuebunny/crossref_metadata_2025_split huggingface dataset:
Children’s perception of interpersonal coordination during joint painting
Authors: Rabinowitch Tal-Chen , Abraham Rotem , Grinspun Noemí 
Published: February 2022

Abstract
Interpersonal coordination is important for many joint activities. A special case of interpersonal coordination is synchronization, which is required for the performance of many activities, but is also associated with diverse positive social and emotional attributes. The extent to which these effects are due to the reliance on synchrony for task performance or to its temporal aspects, is not clear. To address these questions, we considered a more general form of interpersonal coordination, implemented during joint artmaking. This is a non-typical context for interpersonal coordination, not required for task success, and smoother and more loosely-structured than more standard forms of synchronous coordination. Therefore, comparing interpersonal coordination with non-coordination during shared painting, could help reveal general social-emotional reactions to coordination. To gain a more ‘naïve’ perspective we focused on children, and staged coordinated and non-coordinated art interactions between an adult and a child, and asked child observers to judge various variables reflecting the perceived bond between the painters. We found an overall stronger perceived bond for the coordination condition. These results demonstrate that even a non-typical form of interpersonal coordination could be attributed with positive social and emotional qualities, a capacity revealed already in childhood, with possible implications for development.
Automated Detection Of Enlarged Extraocular Muscle In Graves’ Ophthalmopathy With Computed Tomography And Deep Neural Network
Authors: Hanai Kaori , Tabuchi Hitoshi , Nagasato Daisuke , Tanabe Mao , Masumoto Hiroki , Nishio Sakurako , Nishio Natsuno , Nakamura Hirohiko , Hashimoto Masato 
Published: February 2022

Abstract
This study aimed to develop a diagnostic software system to evaluate the enlarged extraocular muscles (EEM) in patients with Graves’ ophthalmopathy (GO) by a deep neural network.This prospective observational study involved 371 participants (199 EEM patients with GO and 172 controls with normal extraocular muscles) whose extraocular muscles were examined with orbital coronal computed tomography. When at least one rectus muscle (right or left superior, inferior, medial, or lateral) in the patients was 4.0 mm or larger, it was classified as an EEM patient with GO. We used 222 images of the data from patients as the training data, 74 images as the validation test data, and 75 images as the test data to “train” the deep neural network to judge the thickness of the extraocular muscles on computed tomography. We then validated the performance of the network. In the test data, the area under the curve was 0.946 (95% confidence interval (CI); 0.894–0.998), and receiver operating characteristic analysis demonstrated 92.5% (95% CI; 0.796–0.984) sensitivity and 88.6% (95% CI; 0.733–0.968) specificity. The results suggest that the deep learning system with the deep neural network can detect EEM in patients with GO.
Does the Regional Development Policy Promote Industrial Structure Upgrading? Quasi-experimental Evidence from China
Authors: Zhang Weimin , Wang Ge , Zong Jiamin 
Published: February 2022

Abstract
“Guiding Opinions on Relying on the Golden Waterway to Promote the Development of the Yangtze River Economic Belt (YREB)”, the “YREB Development Policy”, is a regional Chinese policy aiming to promote industrial structure upgrading and high-quality development in the YREB. To test the effects of this policy, we used 2009-2019 data from 283 cities to examine whether its implementation promoted regional industrial structure upgrading. The YREB Development Policy positively impacted industrial structure advancement but scarcely benefitted industrial structure rationalization. Moreover, the impacts indicated a temporary, unsustainable influence on industrial structure advancement, presenting a clear U-shaped development trend. The YREB Development Policy can more significantly improve industrial structure upgrading in cities with large populations. The effects of this policy on industrial structure upgrading in the middle and lower reaches of the YREB are almost five times that in the upper reaches. In addition, the policy more greatly impacts the tertiary industry than the primary and secondary industries, especially in the lower reaches. These findings have policy-making implications, enrich the research regarding the YREB Development Policy impacts on industrial structure upgrading, and provide an empirical reference to improve subsequent policies.
The most sensitive SETI observation by multi-beam coincidence matching strategy towards exoplanet systems
Authors: Tao Zhen-zhao , Zhao Hai-chen , Zhang Zhi-song , Zhang Tong-Jie , Gajjar Vishal , Zhu Yan , Yue You-ling , Zhang Hai-yan , Liu Wen-fei , Li Shi-yu , Zhang Jian-chen , Liu Cong , Wang Hong-feng , Duan Ran , Qian Lei , Jin Cheng-jin , Li Di , Siemion Andrew , Jiang Peng , Werthimer Dan , Cobb Jeff , Korpela Eric , Anderson David 
Published: February 2022

Abstract
`Are we alone?' The Search for Extra-Terrestrial Intelligence (SETI) aims to answer this profound question. Apart from examining environments in our solar system and detecting biosignatures in exoplanet atmospheres, SETI is another main approach to search for life beyond Earth by detecting technosignatures indicative of extra-terrestrial intelligence (ETI), such as engineering radio signals. Massive efforts have been made by SETI scientists using radio telescopes around the world. Though some candidate signals were detected, none of them has been confirmed as an ETI technosignature so far. Most targeted SETI observations performed in recent years use on-off strategy to distinguish signals transmitted from celestial bodies from radio frequency interference (RFI) generated near the ground. Here we report a SETI campaign employing another SETI observation strategy, multi-beam coincidence matching (MBCM), at the Five-hundred-meter Aperture Spherical radio Telescope (FAST) towards 33 currently discovered planetary systems, searching for narrow band drifting signals at a band of $1.05-1.45$ GHz. Our observations achieve an unprecedented sensitivity with a minimum Equivalent Isotropic Radiated Power (EIRP) of $1.5 \times 10^{9} ~\text{W}$. We process the data of two orthogonal polarization separately, aiming to discriminate instrumental RFI signals. A particular signal at 1140.604 MHz from the observation towards Kepler-438 passes our initial selection criteria. Although we have not yet determined the exact cause of this signal, its polarization characteristic suggests that it is most likely to be attributed to RFI. In spite of this, our work verifies that compared to single-beam on-off strategy, MBCM greatly improves both time efficiency and radio frequency interference (RFI) identification effectiveness of targeted SETI observations.
Retinal Vascular Occlusion and SARS-CoV-2 Vaccination
Authors: Vujosevic Stela , Limoli Celeste , Romano Simona , Vitale Lucia , Villani Edoardo , Nucci Paolo 
Published: February 2022

Abstract
Purpose: to assess the clinical and retinal imaging features of patients in whom retinal vascular occlusion had developed in temporal associations with Covid-19 vaccination.Methods: in this retrospective case series, all consecutive adult patients with new onset retinal vascular occlusion (VO) within 6 weeks of vaccination against Covid-19 were included in the study between May 1st and October 31st 2021. All patients had a systemic medical health assessment, full ophthalmic evaluation and complete fundus imaging. Results: Fifteen cases of retinal vascular occlusion (14 patients) after Covid-19 vaccinations were identified. The median time between vaccination and symptoms onset was 14 days (range 7-42 days). VO included central retinal vein occlusion (CRVO) in 5 (33.3%) eyes, hemiretinal vein occlusion (HRVO) in 2 (13.3%) eyes, branch retinal vein occlusion (BRVO) in 7 (46.6%) eyes, and 1 (6.6%) eye with central retinal artery occlusion (CRAO). The mean BCVA was 20/55 with a range of 20/20 to 20/200. Eleven of 15 eyes (73.3%) had visual acuity improvement after intravitreal treatment at 60-90 days (range, 45-105 days) from the presentation. Number of new cases of VO was higher in the considered period compared to the equivalent 6 months’ period in 2019 (1.17% vs 0.52% respectively; P=0.0134).Conclusions: Retinal vascular occlusion with different grades of severity are reported in temporal association with Covid-19 vaccination. Prompt diagnosis with appropriate treatment may provide patients with better visual acuity outcome. The exact pathogenic mechanism needs to be further studied. No certain causal relationship can be established from this case series.
Pedicularis resupinata restores corticosterone-induced depressive-like behaviors in mice via glucocorticoid receptor-mediated BDNF expression
Authors: Lim Dong Wook , Han Daeseok , Lee Changho 
Published: February 2022

Abstract
Excessive corticosterone (CORT), resulting from a dysregulated hypothalamic–pituitary–adrenal (HPA) axis, is associated with cognitive impairment and behavioral changes, including depression. In Eastern medicine, Pedicularis resupinata var. oppositifolia (Scrophulariaceae) is used for the treatment of rheumatoid arthritis, malignant abscesses (tumors), uroliths, and diuretics. However, the antidepressant properties of P. resupinata have not been well characterized. Here, the antidepressant-like effects of P. resupinata extract (PRE) were evaluated in in vivo and in vitro CORT-induced depression models. HPLC confirmed that acteoside, a phenylethanoid glycoside, was a major PRE compound from. Male ICR mice (8 weeks old) were injected with CORT (40 mg/kg) and orally administered PRE daily (30, 100, and 300 mg/kg) for 21 consecutive days. Depressive-like behaviors were evaluated using the open field test, sucrose preference test, passive avoidance test, tail suspension test, and forced swim test. Treatment with a high dose of PRE significantly alleviated CORT-induced depression-like behaviors in mice and reduced neurotoxicity in a concentration-dependent manner in SH-SY5Y cells. Additionally, repeated CORT injection markedly reduced brain-derived neurotrophic factor (BDNF) levels, whereas total glucocorticoid receptor (GR) and GR phosphorylation at serine 211 were significantly increased in the mice hippocampus, but improved by PRE treatment. Thus, our findings suggest that PRE have potential antidepressant-like effects by modulating GR-mediated BDNF expression in the CORT-induced depressive mice model.
Retrospective Analysis of Incidence and Risk Factors of Postoperative Nausea and Vomiting after Orthopedic Surgery under Spinal Anesthesia
Authors: Ju Jae-Woo , Kwon Jina , Yoo Seokha , Lee Ho-Jin 
Published: February 2022

Abstract
Background: Although postoperative nausea and vomiting (PONV) commonly occurs after spinal anesthesia, it has been scarcely studied. Therefore, we aimed to investigate its incidence rate and potential predictors.Methods: The electronic medical records of 6,610 consecutive patients undergoing orthopedic surgery under spinal anesthesia between January 2016 and December 2020 were reviewed. The primary outcome was PONV incidence within 24 h after spinal anesthesia. Along with its incidence rate, we investigated its predictors using multivariable logistic regression analysis. We also performed an interaction analysis for the primary outcome between the baseline PONV risk (low to medium vs. high) and the number of prophylactic agent.Results: Among the 5,691 patients included in the analysis, 1,298 (22.8%) experienced PONV within 24 h after spinal anesthesia. Female sex (odds ratio [OR]=3.18; 95% confidence interval [CI], 2.67–3.78; P<0.001), nonsmoker (OR=2.13; 95% CI, 1.46–3.10; P<0.001), history of PONV (OR=1.53; 95% CI, 1.27–1.84; P<0.001), 5-HT3R antagonist (OR=0.35; 95% CI, 0.24–0.50; P<0.001), steroid (OR=0.53; 95% CI, 0.45–0.63; P<0.001), baseline heart rate ≥60 beats/min (OR=1.36; 95% CI, 1.09–1.70, P=0.007), and postoperative opioid use (OR=2.57; 95% CI, 1.80–3.67; P<0.001) were significant predictors of the primary outcome. An interaction analysis revealed that baseline PONV risk was an effect modifier for the association between dual prophylactic agents (vs. single agent) and primary outcome (interaction P=0.026).Conclusions: Our study showed the common incidence of PONV after spinal anesthesia and its significant predictors. A better understanding of its predictor may provide important information for its management.
An Improved Hybrid DCT-DWT Blind Watermarking Technique for Securing Multimedia Images
Authors: Hema M. , S Prayla Shyry 
Published: February 2022

Abstract
People are capable of manipulating and copying digital images. Protection and security must be given to the right property from piracy and illegal copies. To safeguard the intellectual property of digital images digital watermarking is used as a solution. Watermarking technique is prevalent due to an effective copyright protection method i.e., only the rightful owner can identify the signature that is embedded in a digital document. In this paper, a blind watermarking scheme is used which is dependent on the image content of certain specific DWT-DCT coefficients. The use of generalized Gaussian distributions helps in modelling the DCT-DWT coefficients of the Source image. The suggested system attained optimal PSNR, MSE and SSIM values and numerous attacks are resisted by an embedded watermark in the image watermarked as per the results of the experiment. Furthermore, the suggested system depicts far more robustness against numerous image processing attacks for example, scaling to 0.25 & 0.50, Cropping, and various types of noise attacks. Experimental results and numerical values of parameters confirms that the hybrid DCT-DWT blind watermarking technique is relatively efficient and also justifies the theoretical analysis.
Research on the job shop scheduling problem based on digital twin and proximal policy optimization
Authors: Liu Lilan , Guo Kai , Gao Zenggui , Li Jiaying 
Published: February 2022

Abstract
Job shop scheduling plays an important role in intelligent manufacturing. Effectively solving the scheduling problem is the key to realizing intelligent manufacturing. In the actual production process, there are various dynamic events, such as the problem of inserting orders when new orders arrive, which seriously affect the efficiency of scheduling execution. The traditional job shop scheduling algorithm has poor real-time response ability. When encountering emergencies, it needs to run again, and the time complexity is high. A traditional scheduling scheme cannot solve this problem well. To solve the above problems, we use the digital twin (DT) workshop to accurately capture the abnormal events in the production process in real time. Combined with the fast response ability of deep reinforcement learning (DRL), we propose a method to establish a digital twin workshop combined with deep reinforcement learning. In this method, we use a disjunctive graph to represent the state in reinforcement learning, a graph neural network (GNN) as the network structure, and the proximal policy optimization (PPO) algorithm to find the optimal scheduling scheme. We compare the scheduling results with heuristic scheduling rules and a meta heuristic algorithm to verify the feasibility of the algorithm. Finally, in the laboratory environment, aiming at the common order insertion problem in the actual production process, we verify the effectiveness of this job shop scheduling method.
Research on Factors Affecting the Risk of Ischemic Cerebrovascular Disease in Postmenopausal Women Based on the Social-Ecological Model
Authors: Yang Chun-Jun , Wang Dong-Mei , Wang Tong , Song Ying 
Published: February 2022

Abstract
Objective
Based on the social-ecological model, this study aimed to comprehensively explore factors affecting the risk of ischemic cerebrovascular disease (ICVD) in postmenopausal women to provide theoretical bases for further prevention and intervention for postmenopausal women.
Methods
Postmenopausal women who underwent medical examinations in one health-checkup agency in Tianjin from May 2015 to October 2015 were enrolled in this study. The ICVD 10-year Risk Assesment Form developed by the research team of the National "Tenth Five-Year Plan" research project was used to assess the factors affecting the risk of ICVD. Based on the social-ecological model, multiple types of scales were used to comprehensively explore the factors associated with ICVD in postmenopausal women.
Results
300 valid questionnaires were obtained, with an effective rate of 92.0%. The maximum age of the subjects was 74 years old, the minimum age was 44 years old, and the average age was 62.06 ± 7.09 years old. Among them, 58.67% of the subjects only obtained high-school diploma, 32.67% obtained college or university diploma, 90.33% were retirees, 95.33% were married, 92.33% experienced the natural menopause, 93.33% lived in urban or suburban areas, and 1.00% had a history of breast cancer. Multivariate logistic regression analysis suggested that monthly income, parity, exposure to second-hand or third-hand smoke, easy access to healthy food, physical activities, depression, Type D personality, social support and environmental factors were associated with the risk of ICVD in postmenopausal women (P < 0.05). Among them, easy access to healthy food (OR = 0.242), social support (OR = 0.861) and environmental factors (OR = 0.866) were the protective factors from ICVD. Parity (OR = 3.795), exposure to second-hand or third-hand smoke (OR = 2.886), depression (OR = 1.193), and Type D personality (OR = 1.148) were risk factors of ICVD.
Conclusions
For postmenopausal women, in the future, in addition to prevention and management of the conventional risks, the conditions of their mentality and social support should be paid attention to, at the same time, and if they can, try to choose a good community environment to live in, which could better reduce the incidence and mortality of ICVD in postmenopausal women.
Efficacy of Different Intensities of Aquatic Exercises in Remyelination and Neuronal Plasticity Using Cuprizone Model in Male Wistar Rats
Authors: Begum Zareena , Subramanian Vijayalakshmi , Raghunath Gunapriya , Gurusamy Karthikeyan , Rajagopalan Vijayaraghavan , Sivanesan Senthilkumar 
Published: February 2022

Abstract
Background: Multiple sclerosis is a chronic demyelinating disease of the central nervous system. Exercises as a remedy to this disorder are not widely understood. This study focuses on the effects of exercise and the addition of a preconditioning exercise program (Cn) on demyelination.Aim and Objectives: To study and determine the neuroprotective and remyelination effects of a preconditioning exercise program and different intensities of aquatic exercises on demyelination induced by oral administration of cuprizone (Cup).Materials and methods: Six groups of animals, each containing six rats were taken. Group I, II, and III were control, negative control (Cup), and treated with Methylprednisolone (MP) respectively. Group IV and V were treated with low (LIE) and high-intensity exercises (HIE) respectively. Group VI was treated with preconditioning exercise (Cn)+HIE. LIE included free swimming for 40 min and high-intensity exercise (HIE) included an addition of a resistance of 9% body weight and same as LIE for 5 weeks. Preconditioning (Cn) was achieved by free swimming for 40 min for 3 weeks before cuprizone administration.Results: Cn+HIE showed a positive outcome similar to MP group with p-value <0.001 taken as statistical significance. This group showed improved areas of remyelination in histopathology and improved myelin basic protein (MBP) and reduced glial fibrillary acidic protein (GFAP) expression in corpus callosum and improved gene expression of brain-derived neurotrophic factor (BDNF) in the hippocampus region. All data were analyzed by one-way ANOVA using Sigma plot 13.Conclusion: Therefore, high-intensity exercises with general fitness show positive effects in demyelination.
Can Ecological Groups Be Classified Quantitatively? A Model-Based Evaluation Of The Ecological Grouping Of Benthic Polychaete Species
Authors: Lee GiSeop , Cho HongYeon , Kim Sunyoung , Yoon SangPil , Park Sohyun 
Published: February 2022

Abstract
The ecological groups (EGs) of polychaetes are used in the management and evaluation of fishing ground environments. Based on the current EGs announced by the National Institute of Fisheries Science, this study used representative classification models to analyze the differences between the classified EGs and compare the performance and characteristics of the classification models. The classification models included agglomerative hierarchical clustering (AHC), adaptive boosting decision tree (ABDT), and convolutional neural network (CNN). The elliptical parameters (EPs) of the 2D distribution of data points (species abundance vs. total organic carbon) were used in the AHC and ABDT models. The CNN model used the 2D kernel density images. The accuracies of each classification model under the maximum fit condition were 39%, 91%, and 88%, respectively. The validation accuracies of the verifiable ABDT and CNN models were 63% and 66% (leave-one-out validation) and 57% and 65% (7:3 hold-out validation), respectively. The ABDT model using EPs is useful for additional analyses (such as for habitat succession patterns) because it is easy to analyze structurally, whereas the CNN model yields high overall classification performance. As field observation data and various characteristic information are added in the future, each model will require periodic updates.
Neighborhood disadvantage and biological aging biomarkers among breast cancer patients
Authors: Shen Jie , Fuemmeler Bernard , Sheppard Vanessa , Bear Harry , Song Renduo , Chow Wong-Ho , Zhao Hua 
Published: February 2022

Abstract
Living in a disadvantaged neighborhood is associated with adverse clinical outcomes among breast cancer patients, but the underlying pathway is still unclear. Limited evidence has suggested that accelerated biological aging may play an important role. In this study, using a sub-sample of 906 women with newly diagnosed breast cancer at M.D. Anderson, we examined whether levels of selected markers of biological aging (e.g., allostatic load, telomere length, and global DNA methylation) were affected by neighborhood disadvantage. The Area Deprivation Index (ADI) was used to determine the neighborhood disadvantage. Based on the median ADI at the national level, the study population was divided into low and high ADI groups. Overall, breast cancer patients from the high ADI group were more likely to be younger and non-Hispanic Black than those from the low ADI group (P < 0.001, respectively). They also more likely to have higher grade and poorly differentiated breast tumors (P = 0.029 and 0.019, respectively). For the relationship with markers, compared to the low ADI group, high ADI group had higher median levels of allostatic load (P = 0.046) and lower median levels of global DNA methylation (P < 0.001). Compared to their counterparts, those from the high ADI group were 20% more likely to have increased allostatic load and 51% less likely to have increased levels of global DNA methylation. In summary, we observed that levels of allostatic load and global DNA methylation are influenced by neighborhood disadvantage among breast cancer patients.