bluuebunny/crossref_metadata_2025_split huggingface dataset:
Icon Label Generation for MobileApplications by Mean Teacher Learning
Authors: Ma Ying , Yu ChuYi , Yan Ming 
Published: July 2022

Abstract
Mobile accessibility is essential to millions of smartphone users withvisual impairment issues in their daily life as the widespread mobileapplications on Google Play and the App Store. Most applicationicons lack the natural language tag to facilitate the reading of visually impaired users who struggle interacting with mobile phones usingscreen readers incorporated in mobile operating systems.COALA isa pilot work solve this issue by generating the textual label fromthe imaging icon automatically. However, most icon datasets haveimbalance distributions in the real-world scenario that only a fewcategories have rich-resource labeled samples and the major rest categories have very limited samples. To solve address the data imbalanceproblem in the icon label generation task, we provide an interconnected dual-language model with mean teacher learning, which learnsa generalized feature representation from divergent data distributions.Extensive experiments demonstrate the superiority of our dual-languagemodel over previous single-language models on different low-resourcedatasets. More experimental results show our method outperforms theCOALA model with a large margin in the label generation evaluations.
Dapagliflozin attenuates severity of atherosclerosis through manufacturing energy-crisis to inhibit ferroptosis of macrophage
Authors: Li Zhu , Jia Jia , Hao Han , Qiao Shiyang , Chen Jianzhou , Li Guannan , Qi Yu , Sun Xuan , Kang Lina , Xu Biao 
Published: July 2022

Abstract
BackgroundGrowing evidence has indicated that dysregulation of ferroptosis is associated with atherosclerosis. Dapagliflozin as a sodium glucose cotransporter 2 inhibitor (SGLT2i), in view of the clinically important benefits in improving cardiovascular outcomes, we aimed to explore its pharmacological effects and underlying mechanisms of atherosclerosis associated with ferroptosis.MethodFerroptosis and severity of atherosclerosis were assessed in ApoE-/- (control) and ApoE-/-+ Dapagliflozin (SGLT2i) mice groups to analyze the changes after Dapagliflozin treatment. ApoE-/-+Dapagliflozin+RSL3 (RSL3) mice group was established to confirm the association between ferroptosis and severity of atherosclerosis. Metabolism of macrophages sorted by FACS within atherosclerosis plaques were analyzed to explore the mechanism of Dapagliflozin attenuating the severity of atherosclerosis.ResultAlleviated severity of atherosclerosis and ferroptosis were observed in Dapagliflozin treatment mice group, however, RSL3 treatment mice group revoke the beneficial effect. The metabolism of macrophages sorted by Fluorescence activated Cell Sorter (FACS) within atherosclerosis plaques from Dapagliflozin treatment mice group indicated an energy crisis which mitigates ferroptosis and keeps more M2 macrophages surviving in atherosclerotic plaques.ConclusionDapagliflozin treatment attenuates severity of atherosclerosis by the way of creating energy crisis to keep more M2 macrophages surviving in atherosclerotic plaque which is more sensitive to ferroptosis than M1.
Blood monocyte to high density lipoprotein cholesterol ratio (MHR) can be used as an independent risk factor of carotid artery plaque
Authors: Xi Jie , Men Shasha , Nan Jingzhu , Yang Qiuliang , Dong JiN 
Published: July 2022

Abstract
Background: Carotid plaque is a manifestation of carotid atherosclerosis,monocytes play a key role in atherosclerosis related inflammatory response ,high density lipoprotein cholesterol (HDL-C) has vascular protective effects such as anti-inflammatory, antithrombotic and anti atherosclerosis. This study is to investigate the relationships of MHR level and the incidence of carotid artery plaque. Methods: Data of physical examination personnel in the first medical center of the General Hospital of PLA from January to April in 2018 was collected and 3848 subjects were included for retrospectively analysis. Statistical analysis was performed on Spss 22.0 0 software and statistical software R and its GAM package.Results: The difference was statistically significant in levels of MHR, body mass index (BMI), high-sensitive C-reactive protein (hs-CRP), blood lipids (HDL-C, low-density lipoprotein cholesterol (LDL-C), total cholesterol(TC), triglyceride(Tg)), blood glucose(Glu), Hyperglycemic hemoglobin(HbA1c), renal function (Urea, creatinine(Crea), estimated glomerular filtration rate(eGFR), Uric acid (Ua)) in carotid plaque groups (p=0.000,respectively). No significant difference between the gender (p=0.635) and age(p=0.063) in different groups. MHR levels was positively correlated with levels of BMI (r = 0.364, P = 0.000), hs-CRP (r = 0.320, P =0.000), Tg (r = 0.417, P=0.000), Crea(r=0.323, P=0.000), eGFR(r=-0.248, P=0.000), Ua(r=0.383, P=0.000) and HbA1c (r=0.197, P=0.000). Levels of TC, Glu, Urea were slightly correlated with MHR level(r=-0.150, P=0.000; r=0.187, P=0.000; r=0.137, P=0.000; respectively ). In subjects with both hypertension and diabetes, MHR levels showed difference among three groups (p=0.009). MHR level increased with elevated site number of carotid plaque in subjects without hypertension or diabetes(p=0.000). MHR level still showed differences among carotid plaque groups in subjects with hypertension and diabetes. In adjusted models, the probability of occurrence of carotid plaque increased by1.958 (95% CI: 1.144-3.351, P = 0.000) times; The probability of multiple occurrence of carotid plaques increased by 2.068 (95% CI: 1.100-3.887, P = 0.000) times. The GAM curve showed a non-linear correlation between normalized MHR and the probability of carotid plaque occurrence. Conclusions: MHR could be used as an independent risk factor and indicator for plaque formation and severity.
Hypergraph-based data modeling for binary classification
Authors: Misiorek Pawel , Janowski Szymon 
Published: July 2022

Abstract
We present the novel hypergraph-based framework enabling to assess the importance of data elements for the binary classification task. The proposed method explores the classification datasets modeled as a hypergraph with vertices denoting data samples and hyperedges corresponding to values of categorical features used to describe these samples. The structure of the hypergraph is applied to rate data samples and values of categorical features from the perspective of their relevance to binary classification labels. The proposed Hypergraph-based Importance (HI) ratings are theoretically-grounded on the hypergraph cut conductance minimization concept. As a result of using a hypergraph representation, which is regarded as a lossless representation from the perspective of higher-order relationships in data, our approach enables more precise exploitation of the information on feature and sample coincidences. The solution has been tested using two experimentation scenarios: random undersampling for imbalanced classification data based on an adaptive algorithm using the HI rates for data samples, and feature selection based on the HI rates for values of categorical features. The experimentation results have proven the good quality of the new approach when compared with other state-of-the-art and baseline methods for both scenarios.
Assessment of the Quality of Economic Growth in Agriculture
Authors: Abduvakhidov Akmal , Eshpulatov Dostonbek , Olimovna Kadyrova Dilafruz 
Published: July 2022

Abstract
The issue of economic growth is one of the main macroeconomic problems that have always been of interest to economists. Also, in the current macroeconomic situation, another side of the problem is being manifested. That is, the current issue is not only economic growth, but also the study of the factors that determine its quality has become an urgent issue. The existing theories of economic growth cannot fully explain the matter. Therefore, the article studied the issues of qualitative economic growth and evaluated statistical indicators that determine it. Indicators such as material return, capital return and labor productivity were selected as the main indicators that ensure the quality of economic growth in agriculture. As a result of the conducted research, we found out that the indicator of material return and capital return in agriculture has been decreasing. Nevertheles, the index of labor producivity has shown an increment. Moreover, the exact conclusions and suggestions were made on ensuring quality economic growth in agriculture in the country.JEL classification: Q18
FM-based Recommendation Model for Short-video with Topic Distribution
Authors: Yunfei  , Kaifeng  , Xiao  , Chen  , Lin  
Published: July 2022

Abstract
With the popularity of mobile internet terminals, the speed of the network and With the popularization of mobile Internet terminals, the speed of network and the reduction of traffic tariff, people can watch videos through cell phones at any time. As short videos have the characteristics of short time and rich content, they can maximize people's need to watch videos in fragmented time. Therefore, short videos that combine filming techniques, music, stories and images. Short videos can meet users' content consumption needs in a more diversified way. Due to the widespread popularity of short videos, many short video platforms have been born. Many short video platforms have been created. The short video recommendation algorithm has become an important means of competition among platforms. How to ensure the accuracy of the recommendation algorithm and the real-time of the algorithm How to ensure the accuracy of the recommendation algorithm and the real-time of the algorithm have been the focus of research. In recent years, a great deal of progress has been me in the study of problems related to preference recommendation and recommendation. The most widely used method in industry today is the use of LR to learn click-through recommendation models. LR has the vantage of being simple and very easy to implement for massively real-time parallel processing, but linear models have a limited learning capability and do not capture the information carried by higher-order features , thus limiting the recommendation performance. Based on the above analysis, this paper proposes a FM-based short video preference recommendation model from the multi-topic nature of short videos. The main contributions of the model are: Topic-based segmentation of the original training set is performed using LDA, and each sub-training set generated by the segmentation is significantly smaller than the original training set, which reduces the computational complexity to a certain extent. Automated feature selection and linear transformation of features for training sets under different topics, reducing the dependence of manual feature engineering on time and labor in the baseline algorithm. By integrating the recommendation results of different topics, thus improving the recommendation accuracy. Experiments demonstrate that our model can effectively improve the recommendation performance.
Functional and anatomical characterization of corticotropin-releasing factor receptor subtypes of the rat spinal cord involved in somatic pain relief
Authors: Mousa Shaaban , Shaqura Mohammed , Khalefa Baled , Li Li , Al-madol Mohammed , Treskatsch Sascha , Schäfer Michael 
Published: July 2022

Abstract
Corticotropin-releasing factor (CRF) orchestrates our body’s response to stressful stimuli. Pain is often stressful and counterbalanced by activation of CRF receptors along the nociceptive pathway, although the involvement of the CRF receptors of subtypes 1 and/or 2 (CRF-R1 and CRF-R2, respectively) in CRF-induced analgesia remains controversial. This study aimed to examine CRF-R1 and CRF-R2 expression within spinal cord of rats with Freund’s complete adjuvant-induced hindpaw inflammation using reverse transcriptase polymerase chain reaction, Western blot, radioligand binding, and immunofluorescence confocal analysis, Western blot, immunohistochemistry, and radioligand binding. Moreover, paw pressure algesiometry examined antinociceptive effects of intrathecal (i.t.) CRF and their possible antagonism through CRF-R1 and/or CRF-R2 selective antagonists as well as opioid receptor antagonist naloxone. Our results demonstrated mainly CRF-R2 mRNA, protein, binding sites and immunoreactivity in dorsal horn of rat spinal cord. In parallel, i.t. CRF as well as CRF-R2 agonists elicited potent antinociceptive effects which are dose-dependent and antagonized exclusively by i.t. CRF-R2 (K41498), but not CRF-R1 (NBI35965) antagonist. Moreover, i.t. CRF elicited inhibition of somatic pain that was dose-dependently reversed by the opioid antagonist naloxone. Consistently, double immunofluorescence confocal microscopy showed CRF-R2 on enkephalin (ENK) containing inhibitory interneurons in close opposition of incoming, mu-opioid receptor-immunoreactive nociceptive neurons but not on pre- nor on postsynaptic sensory neurons of the spinal cord. Taken together, these findings suggest that i.t. CRF or CRF-R2 agonist inhibits inflammatory somatic pain which occurs most predominantly through CRF-R2 receptors located on spinal enkephalinergic inhibitory interneurons resulting in endogenous opioid-mediated pain inhibition.
Enhanced Joint Effects of ENSO and IOD on Southeast China Winter Precipitation after 1980s
Authors: Zhang Ling , Shi Ruizi , Fraedrich Klaus , Zhu Xiuhua 
Published: July 2022

Abstract
Based on the NCEP/NCAR reanalysis data, the COBE sea surface temperature (SST) and the GPCC precipitation, El Niño-South Oscillation (ENSO) influencing the variability of winter rainfall anomalies in Southeast China is analyzed under the synergistic effect of Indian Ocean Dipole (IOD). Winter precipitation and atmospheric circulation of the years of IOD concurring with ENSO are compared with single IOD or ENSO, to reveal the mechanism of synergistic effects on the variability of winter rainfall anomalies in Southeast China. The results show that the correlation between IOD/ENSO and the winter precipitation in Southeast China has increased since 1980s. These correlations were significant in years of IOD and ENSO co-occurrence compared to years of IOD or ENSO only, which is mainly due to the lagged atmospheric thermal and dynamic responses to an IOD forcing in synergy with ENSO. The positive IOD (PIOD) events can trigger and modify the anticyclone to the east of India, which transports moisture from the tropical Indian Ocean to Southeast China. In addition, El Niño events can strengthen the abnormal anticyclone over Philippines in winter, which is conducive to maintain the water vapor channel from the tropical West Pacific to Southeast China. Information flow analysis shows that the causalities between IOD and ENSO were enhanced after 1980s, causing the significant increase in the frequency of winter abnormal precipitation in the years of IOD and ENSO concurrence. Furthermore, the higher frequency of PIOD with El Niño (compared to negative IOD with La Niña) attained a ratio of 2:1 after the 1980s, enhancing the Southeast China winter precipitation events associated with IOD and ENSO and the generation of interdecadal variability. This study is helpful to understand the mechanisms of winter precipitation changes in Southeast China, and to improve the forecast accuracy of winter extreme precipitation events.
Changes in Positive Airway Pressure Use in Adults with Sleep-Related Breathing Disorder during the COVID-19 Pandemic: A Cross-Sectional National Community-Based Survey
Authors: Kendzerska Tetyana , Saad Mysa , Ayas Najib , Robillard Rebecca 
Published: July 2022

Abstract
Purpose: To better understand: i) a positive airway pressure (PAP) therapy use during the pandemic, ii) how PAP use may relate to sleep, health, and COVID-19-related outcomes, and iii) factors associated with PAP use during the pandemic. Methods: This study is based on data collected between Apr 2020 and Jan 2021 as part of the online cross-sectional national community-based survey. The included participants were located in North America, 18 years and older, with self-reported sleep-related breathing disorder (SBD) and usage of a PAP device in the last month before and during the COVID-19 pandemic (“in the past 7 days”). Results: Of all respondents, 7.2% (41/570) stopped using PAP during the pandemic. There were no significant differences between individuals who continued and stopped using PAP in the time elapsed since the pandemic declaration, age, sex, education level, occupational status, family income, or the proportions of individuals endorsing symptoms that could be related to COVID-19. Compared to individuals who continued using PAP, those who stopped had significantly shorter sleep time, lower sleep efficiency, and poorer sleep quality. Higher stress levels and living with someone who experienced symptoms that could be attributable to COVID-19 were independently associated with stopping using PAP.Conclusions: In this survey study, we found that most individuals with SBD continued PAP therapy during the pandemic. However, even 7% of participants who stopped using PAP cannot be ignored. Identifying individuals at risk of discontinuing PAP treatment would help design targeted interventions for patients and health professionals to improve PAP use.
The Impact of COVID-19 Lockdown on Disordered Eating Behaviors in a Community Sample: The Mediation Role of Psychological Distress
Authors: Ramalho Sofia , Trovisqueira Ana , de Lourdes Marta , Gonçalves Sónia , Ribeiro Inês , Vaz Ana R. , Machado Paulo P. P. , Conceição Eva 
Published: July 2022

Abstract
﻿Objective: This study aims to explore associations between disordered eating behaviors in adults during the COVID-19 lockdown period, and the experienced psychosocial impact of the COVID-19 pandemic, depressive symptomatology, anxiety/stress levels.Methods: This was a community-based cross-sectional study assessing 254 Portuguese adults (82.7% women; 35.82 ±11.82 years) one week after the end of the mandatory COVID-19 lockdown in Portugal. An online survey was conducted to evaluate psychological distress, disordered eating, and psychosocial impact of the COVID-19 pandemic. Pearson correlations and Structural Equation Modeling (SEM) were performed.Results: Participants reported the presence of meal skipping (52.8%), grazing eating behavior (80.9%), overeating (81.0%), loss of control over eating (47.2%), and binge eating episodes (39.2%) during lockdown. Uncontrolled and emotional eating were significantly correlated with the psychosocial impact of COVID-19 pandemic, depression, anxiety, and stress levels. SEM analyses indicated that the relationship between experienced psychosocial impact of COVID-19 pandemic on disordered eating behaviors was mediated through psychological distress experienced (CMIN/DF= 1.499, CFI = .99, RMSEA = .045).Conclusions: The psychosocial impact of the COVID-19 pandemic crisis may lead to disordered eating, and this relation may occur through the elevation of psychological distress. These findings inform about clinical targets for preventive interventions to promote disordered eating in a community sample during potential similar future situations.
A 2D hydrodynamic model-based method for efficient flood inundation modelling
Authors: Yang Qi , Wu Wenyan , Wang Q. J. , Vaze Jai 
Published: July 2022

AbstractEfficient and accurate flood inundation predictions can provide useful information for flood risk mitigation and water resource management. In this paper, we propose a new modelling method, LoHy + , which can be applied to efficiently simulate the spatiotemporal evolution of flood inundation with reasonable accuracy. The method integrates a low-fidelity two-dimensional (2D) hydrodynamic model and a mapping module to estimate water depth in a catchment during floods. The performance of the proposed modelling method was evaluated using a real-world catchment of approximate 2,000 km2, in the Southern Murray–Darling Basin, Australia. The results show that there is a good agreement between flood inundation obtained from the proposed method and that simulated using a high-fidelity 2D hydrodynamic model. The proposed method is much more efficient than the high-fidelity 2D hydrodynamic model, which makes it an alternative method for applications requiring many model runs or long simulation durations. Also, the LoHy+ model has the potential to be applied in flood inundation forecast, flood risk mitigation design water resource management, etc.
First steps in the ecological flow determining for Latvian rivers
Authors: Jekabsone Jolanta , Abersons Kaspars , Kolcova Tatjana , Tirums Marcis 
Published: July 2022

Abstract
This study analyses the impact of small hydropower plants (HPP) on fish in three Latvian transboundary river basin districts. The MesoHABSIM habitat simulation model was applied to seven Latvian lowland rivers regulated by HPP, four of which belong to the salmonid river type and three to the cyprinid type. Daily stream flow time series for 1961–2018 were used for flow regime calculations in reference (unimpacted) and altered (impacted by HPP operation) flow conditions. Conditional habitat suitability model/criteria for fish were used to assess a potentially available habitat at different flow conditions. Brown trout (Salmo trutta) for salmonid rivers and chub (Squalius cephalus) for cyprinid rivers were selected as case examples to show habitat suitability for different stream types. The authors found significant differences in habitat availability for salmonid and cyprinid rivers, indicating that ecological flows must be calculated separately for fast- and slow-flowing rivers. This study is the first attempt in Latvia to set ecological flow values not only using hydrological calculations but also biological data as an indicator of ecological changes.
Assessment of microplastic contamination in the urban lower Chao Phraya River of Bangkok city, Thailand
Authors: Ounjai Khattiya , Boontanon Suwanna Kitpati , Piyaviriyakul Pitchaya , Tanaka Shuhei , Fujii Shigeo 
Published: July 2022

AbstractRivers are one of the major pathways for the transportation of microplastics (MPs) from land-based sources to the ocean. However, there are only a few studies on MPs in freshwater environments, particularly in Asian countries. In this study, MP contamination in the Chao Phraya River in selected locations distributed throughout Bangkok, Thailand was investigated. MPs were collected using a Manta net with a mesh size of 335 μm. After digestion and distinction based on density, MPs were observed using a stereomicroscope, and polymer types were identified using Fourier Transform Infrared Spectroscopy. MP concentrations detected in the five sampling locations of the river water from upstream to downstream were 11, 35, 40, 15, and 4 particles/m3, with an average concentration of 21±16 particles/m3. Most MPs were identified as either fragments or sheets/films. Polypropylene was the dominant polymer type. The number of MPs increases as their size decreases. Potential sources of MPs may include the degradation of single-use plastic products, especially containers and plastic packaging. MP concentrations and characteristics varied for different locations, indicating different sources and pathways of MPs in urban contexts. Further investigation on the different pathways of the transportation of MPs to river water from land-based sources is required.