bluuebunny/crossref_metadata_2025_split huggingface dataset:
Challenging the Appropriateness of Medical Fee for the Japanese Percutaneous Coronary Intervention: Is the Value of the Cardiologist’s Hard Work Properly Assessed? – Systematic Review and Field Research –
Authors: Hashimoto Satoru , Motozawa Yoshihiro , Cohen Burt , Mano Toshiki 
Published: November 2022

Abstract
Background
In Japan, technical fees in reimbursement are considered not to reflect in actual medical costs, and medical procedures may often result in a deficit of the hospital. This systematic review and field research aimed to investigate the appropriateness of the reimbursement for percutaneous coronary intervention (PCI) as an example of the controversial issue associated with medical expenses in Japan.
Methods
We investigated the validity of the medical fee for PCI from two perspectives: the total cost of PCI in Japan compared with those in other countries, such as the United Kingdom, the United States of America, and Australia, and the appropriate cost of PCI calculated using 1) the costing calculation, 2) book-building, and 3) lost profit methods to investigate the technical fee, which is part of the medical fees.
Results
To compare the PCI cost between other countries and Japan, we searched PubMed and Google Scholar to extract articles that demonstrated PCI cost in the target countries from January 2018 to August 2022. Research reports as well as government-provided sources in each country were also searched using the Google search engine, which finally led to the extraction of eight abstracts. The results indicated that the total cost of PCI for acute myocardial infarction (AMI) was higher in Japan than in other countries; however, no difference was observed for unstable angina (UA). The average costs of technical fees calculated according to three methods were \772,186 for AMI-PCI and \566,688 for UA-PCI, which were higher than the existing reimbursement prices of \343,800 and \243,800, respectively.
Conclusions
Although the total PCI cost in Japan was not different from those in other countries, the technical fees of PCI reimbursed in FY2022 did not even come close to covering the cost.
The effect of the COVID-19 pandemic on going out, a critical activity of daily living, in the general elderly population
Authors: Uematsu Masato , Tamai Koji , Terai Hidetomi , Iwamae Masayoshi , Takahashi Shinji , Katsuda Hiroshi , Shimada Nagakazu , Habibi Hasibullah , Nakamura Hiroaki 
Published: November 2022

Abstract
Background
During the coronavirus disease 2019 (COVID-19) pandemic, home quarantining and refraining from non-essential and non-urgent outings were enacted. The exact impact of the response to the COVID-19 pandemic on the activities of daily living (ADLs) in the general elderly population remains unclear. Thus, this study aimed to investigate the impact of the COVID-19 pandemic on the ability to go out, which is an important part of ADL, in the general elderly population.
Methods
A cross-sectional survey was conducted at a COVID-19 vaccination center in Habikino City, Osaka, Japan. Participants, aged ≥ 65 years, completed a questionnaire surveying general information, ADLs, presence of musculoskeletal symptoms, and quality of life at pre- and post-outbreak. Participants were classified into two groups based on their pre- and post-outbreak ability to go out: the Able-Able group comprised those who were able to go out before and after the pandemic, while the Able-Disabled group comprised those who had deteriorated in their ability to go out over the course of the pandemic. Univariate and multiple logistic regression analyses were performed to identify factors associated with the Able-Disabled group.
Results
Among 33,191 elderly people living in the city, 12,088 (36.4%) participated in this study. In total, 341 (2.8%) people could not go out even pre-pandemic and 346 (2.9%) patients lost the ability to go out during the course of the pandemic. Independent risk factors for membership in the Able-Disabled group were older age, male sex, high body mass index, decreased daily exercise or no exercise habits, and new-onset musculoskeletal symptoms (back and joint pain).
Conclusions
The current study included 36% of the general elderly population living in a Japanese city. In total, 2.9% had lost the ability to go out post-outbreak, and the total number of elderly people unable to go out had doubled within 2 years after the start of the pandemic. A vicious cycle could occur in which ADLs decline due to decreased physical activity and reduced frequency of outings. It may be important for elderly people to avoid decreasing the opportunities for daily exercise and going out to maintain their ADLs.
Occurrences, Potential Sources and Risk Impacts of Organochlorine Pesticides in the main urban Soil of Changchun, Northeast China: a case study
Authors: Zhao Wei , Lu Jilong , Lai Yawen , Lan Tian , Guo Jinke , Fan Yuchao , Hou Yaru 
Published: November 2022

Abstract
48 surface soil samples from the main urban areas in Changchun, Northeast China were analyzed for 18 organochlorine pesticides (OCPs) with the aim of elucidating their contamination status, distribution characteristics, influencing factors, and potential risks in this urban region. The total concentrations of OCPs ranged from 15.63 to 92.79 ng/g, with the geomean of 36.46ng/g. HCHs, DDTs, and Chlordanes were the most dominant OCPs, with γ-HCH and p,p'-DDT being the predominant isomer. Higher concentrations of OCPs mainly concentrated in the northeast and southwest of Changchun city and the artificial influences contributed to the fate of OCPs in the soils. The residues of OCPs were mainly derived from the historical application of the technology DDT, dicofol, and lindane. Pearson’s correlation analysis indicated that TOC was a key factor controlling OCPs accumulation. The data analysis based on the soil quality guidelines (SQGs) suggested that the presence of DDTs, lindane, and heptachlor may pose a certainly toxic ecological threat to the soil organisms. The evaluation results of incremental lifetime cancer risk (ILCR) showed that the cancer risk of OCPs to the posed population was low, while some specific locations with high OCPs residues ought to be a cause for concern.
Identification of ceRNA-based H19/SIX4 regulatory axis as a prognostic biomarker for colorectal cancer via high throughput transcriptomic data
Authors: Zhang Fanqin , Wu Chao , Zhang Jingyuan , Huang Zhihong , Stalin Antony , Shi Rui , Huang Jiaqi , Zhai Yiyan , Chen Meilin , Liu Pengyun , Zhou Wei , You Leiming , Wu Jiarui 
Published: November 2022

Abstract
Colorectal cancer, a common digestive system malignancy, is a leading cause of cancer-related deaths worldwide and has become a major public health problem. Molecular research can provide a large amount of new information for cancer treatment and new drug development. The ceRNA (competing endogenous RNAs) hypothesis reveals a mechanism of RNA interactions. This research aims to construct a ceRNA regulatory network in colorectal cancer to identify potential prognostic biomarkers associated with COAD. Expression profiles of COAD were downloaded from The Cancer Genome Atlas (TCGA). We used R software for differential analysis and enrichment analysis and then identified the subcellular localization of lncRNAs using the LncATLAS and LncACTdb database. Next, we constructed ceRNA networks using Cytoscape software and used survival analysis to identify the ceRNA axis with prognostic significance. The results showed that the H19/miR-193b-3p/SIX4 ceRNA network was associated with COAD prognosis. The correlation between SIX4 expression and tumor immune infiltration was explored via TIMER. The GeneMANIA database was used to obtain proteins interacting with SIX4, and these proteins were subjected to GO and KEGG enrichment analysis, which showed that these proteins are involved in “Transcription misregulation in cancer” of tumors. Then, the relationship between SIX4 expression and prognosis was analyzed using univariate cox regression analysis, plotting forest plots, and plotting K-M curves. The expression and correlation of SIX4 with tumor mutational burden (TMB), microsatellite instability (MSI), DNA mismatch repair genes (MMRs), and methyltransferases in pan-cancer were analyzed. The results indicated that the H19/miR-193b-3p/SIX4 ceRNA axis probably influences the alteration of the tumor immune microenvironment. In addition, the GSEA results showed that high expression of SIX4 was mainly associated with the “Notch signaling pathway”.
Automatic Detection, Quantification and Classification Method for Plant Foliar Diseases Based on Deep Learning
Authors: Ji Miaomiao 
Published: November 2022

Abstract
Accurate evaluation of percent severity of visible symptoms or injuries caused by fungal diseases on plant organs is not only essential in plant health and epidemics research but also critical for breeding, assessment of germ plasm and genetic studies of resistance. In this paper, we have introduced a series of effective pixel-level semantic segmentation models used for automatic detection, quantification and classification of plant foliar diseases based on convolutional neural networks (CNNs). The proposed scoring and grading system of plant diseases involves several steps, which entails: dataset creation, image segmentation, statistical calculation and table query operation. In this study, we train four state-of-the-art CNN-based semantic segmentation models including PSPNet-ResNet50, UNet-ResNet50, BiSeNet-ResNet50 and DeepLabV3Plus-ResNet50 for pixel-level predictions in images of individual leaves exhibiting pathological lesions caused by fungal disease: potato late blight fungus and grape black measles fungus, which serve as case studies. Experimental results report that DeepLabV3Plus-ResNet50 is a more efficient model for plant foliar diseases severity evaluation and an overall classification accuracy of 92.00% for potato disease divided into 5 levels and 94.67% for grape disease divided into 4 levels on the hold-out test dataset is obtained.
WITHDRAWN: Application of object detection algorithm based on deep learning in classification of wild ginseng grades
Authors: GUO Boqiu , JIN Hua , CAI Yong , WU Lunpeng , SUN Xianli , CHEN Fan , CHENG Ziyu 
Published: November 2022

Abstract
Object detection based on deep learning has an excellent effect on wild ginseng classification. In recent years, the Object detection algorithm has been widely used in the classification research of various leaf plants, while the field of wild ginseng generally uses relatively backwards manual identification methods. The identification of wild ginseng by artificial methods are of low efficiency, subjectivity and poor accuracy. In order to solve this problem, this paper proposes a new structure based on PP-YOLO tiny object detector, namely PP-YOLO tiny BiFPN*, improving the backbone network and replacing its neck with the bidirectional feature pyramid network to enhance feature extraction. Combined with embedded devices, Paddle-Lite framework and OpenCV technology, an auxiliary wild ginseng grade classification system based on the deep learning algorithm and embedded devices is designed and implemented. In the test environment, the PP-YOLO tiny BiFPN* model obtained in the first and second grade wild ginseng classification precision of 99.61% and 99.72%, recall of 99.72% and 99.61%, the classification accuracy of the whole wild ginseng sample has reached 99.66%. The model size is only 2.27MB, and the processing speed of each image is 0.266 seconds per image, which is suitable for working in the environment of limited resources, and opens up a new idea for the intelligence classification of wild ginseng.
A bridge between Vector Bundle Theory and Nonlinear Spectral Theory
Authors: Sampedro Juan Carlos , López-Gómez Julián 
Published: November 2022

Abstract
This paper establishes some hidden connections between the theory of generalized algebraic multiplicities, the intersection index of algebraic varieties, and the notion of orientability of vector bundles. The novel approach adopted in it facilitates the definition of several invariants closely related to the first Stiefel-Whitney fundamental class through some path integration techniques.
Recombinant Bacillus subtilis expressing a fungal phytase as a probiotic additive in the diet of Pacific white shrimp Litopenaeus vannamei
Authors: Medeiros Luiza , Nornberg Bruna , Azevedo Raíza , Cardoso Arthur , Rosas Victor Torres , Tesser Marcelo Borges , Pedrosa Virgínia F. , Romano Luis A. , Wasielesky Wilson , Marins Luis Fernando 
Published: November 2022

Abstract
Phosphorus is an essential mineral present in the vegetable matter in the form of phytate, which is considered an antinutritional factor. Phytate can be degraded by phytases, which have been used in commercial feeds. However, these enzymes undergo costly isolation and purification processes. In the present study, a genetically modified (GM) Bacillus subtilis strain that expresses a fungal phytase was used as a feed additive. The GM probiotic was added to the commercial feed of shrimp Litopenaeus vannamei and its effects on zootechnical performance, proximate composition of muscle, lipid concentration in hepatopancreas and expression of genes related to digestion, amino acid metabolism and antioxidant defenses were analyzed. Although the genetically modified probiotic had no impact on growth parameters, there was a 39% increase in phosphorus content in muscle. In addition, genes related to digestion were downregulated in shrimp hepatopancreas, as well as an increase in lipids in this tissue. These results demonstrates that the GM probiotic increased the efficiency of the use of plant-derived phosphorus, which may imply a decrease in the addition of this element in the diets, as well as minimizing the impact of shrimp farms on the eutrophication of adjacent ecosystems.
A chronic high fat diet does not exacerbate muscle atrophy in fast-twitch skeletal muscle of aged mice
Authors: Tagawa Tsutomu , Eshima Hiroaki , Kakehi Saori , Kawamori Ryuzo , Watada Hirotaka , Tamura Yoshifumi 
Published: November 2022

Abstract
Obesity and aging reduce muscle mass and leads to deficits in muscle maintenance, but it is unknown whether obesity additively accelerates muscle wasting in the setting of aging. The present study investigated morphological characteristics in fast-twitch dominant muscle of mice fed a low-fat diet (LFD) or a high-fat diet (HFD) for 4 or 20 mo. The fast-twitch extensor digitorum longus muscle was isolated, and the composition of muscle fiber type, individual muscle cross-sectional area (CSA), and myotube diameter were measured. Increased the percentage of type IIa myosin heavy chain (MHC) fibers, whereas decreased type IIB MHC in both HFD protocols. The CSA and myofiber diameter were lower in both 20 mo LFD and HFD fed mice compared to 4 mo mice, but there were no differences between 20-mo LFD and HFD-fed mice. These data suggest that long term of HFD feeding does not aggravated muscle wasting in fast-twitch dominant muscle of aged mice.
Dihydrotestosterone Downregulates the Inflammatory Response in Human Conjunctival Epithelial Cells
Authors: Zibandeh Noushin , Kusan Eda , Karslioglu Melisa Zisan , Tas Ayse Yildiz , Sahin Afsun 
Published: November 2022

Abstract
Purpose: The aim of our study is to investigate the effect of dihydrotestosterone (DHT) on the inflammatory response of the human conjunctival epithelial cells (HConjECs) under stress conditions.
Methods: HConjECs were cultured with or without 10−8 M dihydrotestosterone (DHT) in normal osmolar conditions for 48 hours. Then, the media was changed to a higher osmolarity for different time points to demonstrate the effect of hyperosmolar stress conditions on both treated and untreated cells. After the cell pellet was lysed with radioimmunoprecipitation assay (RIPA), phosphorylated and nonphosphorylated forms of p38 kinase, extracellular signal-regulated kinase 1/2 (ERK1/2), and c-Jun N-terminal kinase 1/2 (JNK1/2) were analysed by western blot. The gene expressions of TNF-α, IL-1β, and IL-8 were measured with a real-time polymerase chain reaction. The cell viability was checked with Annexin V/PI.
Results: Pretreatment with 10−8M DHT inhibited the hyperosmolarity-induced expression of TNF-α and IL-1β. Expression of p-P38 was inhibited with DHT pretreatment but only DHT-pretreated HConjECs suppressed p-ERK up to 30 minutes after hyperosmolar stress. DHT pretreatment inhibited apoptosis in HConjECs.
Conclusion: These data revealed the potential importance of DHT in the treatment of DED. Furthermore, our findings may contribute to a better understanding of how sex hormones affect different ocular surface diseases and their potential for therapy.
A Reinforcement Learning Framework Based on Genetic Algorithm for Annotating Arabic Text in Natural Scene Images
Authors: Boukthir Khalil , Haddad Lobna , Hamdani Tarek M. , Alimi Adel M. 
Published: November 2022

Abstract
Scene text recognition is an important part of scene understanding systems, hence lately the problem has gotten increasing attention. The popularity of this issue can be attributed to the numerous potential applications and future challenges. However, the scientific community has long concentrated on the CNN (Convolutional Neural Network) models in training phase, disregarding those that are preliminarily processes, such as the annotation of datasets. The objective of this work is to develop a reinforcement learning semi-automatic Arabic text annotation system in natural scene images based on genetic algorithm. In this paper, we use reinforcement learning to enhance CNN network based annotation and we validate our system on our TSVDR (Tunisia Street View Dataset for Arabic Word Recognition) dataset, EvArEST dataset and the synthetic data. Our system is shown to reduce significantly the number of required training samples and to minimize the annotation time to less than 1/4.
Metabolic changes of endothelial cells in post-burn patients using UHPLC-MS/MS
Authors: Wu Fangqin , Yan Zhuoxian , Ran Yanqin , Wang Mengna , Yang Sifan , Huang Mitao , Zhou Situo , Zhang Pihong , Jiang Bimei , Liang Pengfei 
Published: November 2022

Abstract
INTRODUCTION Monitoring metabolic biomarkers could be used as an effective tool for post-burn patient diagnosis and repair.
OBJECTIVE. Endothelial cells play an important role in repair after burns. However, little research has been done on this. We aim to discover predictive biological endothelial cell markers and study biomarker-related metabolism.
METHODS After establishing a thermal injury model using endothelial cells. We examined the metabolic changes 48 and 72 h after burn using liquid-phase mass spectrometry and endothelial cell models derived from heat treatment.
RESULTS A total of 365 metabolites in 12 samples were analyzed using liquid chromatography–mass spectrometry. Among these, univariate analysis after the false discovery correction showed eight concentrations in each time period changed significantly with time (P ＜0.05). The 48-h post-burn was characterized by a decreasing trend in the levels of six metabolites including deoxycholate, glucose 1-phosphate, glucose 6-phosphate, mannose 6-phosphate, histidine, and 1-methyl-2-pyrrolidone, and Metabolites with significantly increased levels were Sambucinol, Flufenacet. The levels of metabolites such as azelate, 1-methyl-2-pyrrolidone, guanosine monophosphate, xanthosine monophosphate, cytidine, and flufenacet decreased significantly, while the level of dibutyl phthalate showed an increasing trend after 72 h. Metabolic pathways such as Starch and sucrose metabolism and purine metabolism are greatly affected.
CONCLUSION Our study shows that metabolomic signatures of heat-injured endothelial cells were found to correlate with their burn time, suggesting that metabolomics may have the potential to develop new diagnostic and therapeutic approaches for burns.
Existence and regularity results for a degenerate elliptic nonlinear equation on weighted Sobolev spaces
Authors: Kalleji Morteza Koozehgar , Alimohammady Mohsen , Cattani Carlo 
Published: November 2022

Abstract
This paper deals with the existence of many solutions a degenerateweighted elliptic equation which its the number of solutions dependon degeneracy term $a$ i.e., the number of subdomains of$\Omega\setminus a^{-1}(0)$ whose boundary is made by submanifoldswith 1-codimension. Moreover, by the Ljusternik–-Schnirelmanprinciple, we would study the corresponding eigenvalue problem andobtained the nonnegative eigenvalues sequence of main problem.Finally, we will discuss of the regularity of the solutions on$C^{1,\alpha}(\Omega).$
Advertising expenditures and dividend policy: Evidence from an emerging market
Authors: Farooq Omar 
Published: November 2022

Abstract
The aim of this paper is to document the effect of advertising expenditures on the dividend policies adopted by non-financial firms from India firms during the period between 2000 and 2019. Our results show that advertising expenditures have a significantly positive impact on dividend payout ratios. Our results are robust across various proxies of advertising expenditures and dividend policies. These results are consistent with the argument that advertising expenditures improve the information environment of firms by increasing their visibility among stock market participants. Superior information environment makes expropriation technology expensive and leads to greater sharing of corporate profits. Furthermore, our findings also show that dividend payouts are more valuable for firms that incur low advertising expenditures. It indicates that dividend payouts improve firm value more when information environment is opaque.
Copper Nanostructured biohybrid material as broad-spectrum antiviral agent and its application as coating surface material
Authors: Losada-Garcia Noelia , Vazquez-Calvo Angela , Alarcon David , Abian Olga , velazquez-campoy adrian , Domingo-Calap Pilar , Alcamí Antonio , Palomo Jose M. 
Published: November 2022

Abstract
Respiratory pathogens kill more people than any other infectious agent each year worldwide. The development of novel economically-friendly, sustainable and highly efficient materials against viruses is a major challenge. Here we describe a nanostructured material composed of very small crystalline phosphate copper nanoparticles synthesized based on a new biohybrid technology that employs the use of a biological agent for its formation. This aqueous and room temperature stable material showed high virucidal activity against different viruses, including SARS-CoV-2. In addition, this new material has been successfully scaled-up and has been shown to have multiple applications as a coating agent on different surfaces of different composition (cotton, polyester, cellulose, paint, etc.). Interestingly, this nanomaterial showed antimicrobial-properties for the manufacture of antiviral face masks, maintaining high virucidal efficacy and stability, even after several washing cycles allowing its reuse.