bluuebunny/crossref_metadata_2025_split huggingface dataset:
High expression of YTHDF1 predicts worse survival of patients with hepatocellular carcinoma within the Milan criteria
Authors: Chen Bin , An Tailai , Wang Yan , Li Xinming , Sun Xinfeng , Sheng Cuiyun , Xie Zonggui , Quan Xianyue 
Published: November 2022

Abstract
Background
The prognostic significance of YTHDF1 among patients with HCC within the Milan criteria has not been fully investigated. The present study was performed to identify its prognostic significance of YTHDF1 among patients with hepatocellular carcinoma (HCC) within the Milan criteria.
Methods
The expression levels of YTHDF1 in HCC and normal tissues were initially assessed by analyzing the data extracted from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. Then we performed immunohistochemical staining to further evaluate its expression levels in HCC. Univariate and multivariate Cox regression analyses were accomplished to identify the independent prognostic factors for patients with HCC within the Milan criteria.
Results
According to bioinformatics analysis, YTHDF1 was significantly upregulated in HCC compared with normal liver tissues. It was then revealed that YTHDF1 expression was significantly associated with tumor number (P = 0.019), tumor size (P = 0.036), and microvascular invasion (MVI) (P = 0.033). Through univariate and multivariate Cox regression analysis, it was demonstrated that along with tumor size (P = 0.012, HR = 2.725, 95%CI 1.249–5.946) and MVI (P < 0.001, HR = 3.494, 95%CI 1.919–6.363), high expression of YTHDF1 was an independent predictive factor for overall survival (OS) (P = 0.032, HR = 1.995, 95%CI 1.060–3.755) of patients with HCC within the Milan criteria. Similarly, high YTHDF1 expression was also proven as an independent predictive factor for recurrence-free survival (RFS) (P = 0.037, HR = 1.645, 95%CI 1.030–2.627) of patients with HCC within the Milan criteria.
Conclusions
YTHDF1 is significantly up-regulated in HCC and its high expression is significantly associated with worse OS and RFS of patients with HCC within the Milan criteria.
Benefit-sharing in International Law Post-2020 Global Biodiversity Framework and reciprocity
Authors: Sirakaya Aysegül 
Published: November 2022

Abstract
Benefit-sharing is a twofold concept that appears both in the realm of human rights law and environmental law. This is because the achievement of many human rights objectives such as those listed under the UN Sustainable Development Goals inherently depends on the maintenance of a healthy environment (A/HRC/19/34, A/RES/70/1). The lack of achievement related to environmental objectives can therefore jeopardize the achievement of human rights objectives. The Special Rapporteur on the issue of human rights obligations relating to the enjoyment of a safe, clean, healthy, and sustainable environment states that the “enormous problem is that [biodiversity agreements] have often not been effectively implemented and their goals have not been met.” (A/HRC/31/52) Consequently, the provenance and prevalence of benefit-sharing in international law need analysis from both the human rights and the environmental law perspectives as they are interdependent. This paper initiates a holistic study on benefit-sharing in international law by exploring its application in the Global Biodiversity Framework through interconnected principles of human rights and environmental law, theory of change, rights-based-approach, and intergenerational equity. The paper argues the need for this approach in order for international law to catch up with the paradigm shift the much-needed transformative change requires.
An Injectable Engineered Cartilage Gel Improves Intervertebral Disc Repair in a Rat Nucleotomy Model
Authors: Bhujel Basanta , Yang Soon Shim , Kim Hwal Ran , Kim Sung Bum , Min Byoung-Hyun , Choi Byung Hyune , Han Inbo 
Published: November 2022

Abstract
Background: Lower back pain is a major problem caused by intervertebral disc degeneration, resulting in a significant burden on individuals and society. A common surgical procedure is lumbar partial discectomy (excision of the herniated disc causing nerve root compression) results in further disc degeneration, leading to severe lower back pain and disability after discectomy. Thus, the development of disc regenerative therapies for patients who require lumbar partial discectomy is crucial. This study aimed to restore the intervertebral disc structure and functions by utilizing injectable engineered cartilage gel.
Methods: We investigated the effectiveness of an engineered cartilage gel utilizing human fetal cartilage-derived progenitor cells (hFCPCs) on intervertebral disc repair in a rat tail nucleotomy model. Eight-week-old female Sprague-Dawley rats were randomized into three groups to undergo intradiscal injection of (1) cartilage gel, (2) hFCPCs, or (3) decellularized extracellular matrix (ECM) (n=10/each group). The treatment materials were injected immediately after nucleotomy of the coccygeal discs. The coccygeal discs were removed 6 weeks after implantation for radiologic and histological analysis.
Results: Implantation of the cartilage gel promoted degenerative disc repair compared to hFCPCs or hFCPC-derived ECM by increasing the cellularity and matrix integrity, promoting reconstruction of the nucleus pulposus, restoring disc hydration, and downregulating inflammatory cytokines and pain.
Conclusions: Our results demonstrate that injectable engineered cartilage gel has higher therapeutic potential than its cellular or ECM component alone, and support further translation to large animal models and human subjects. In the future, simple intradiscal injections of injectable engineered cartilage gel may be an effective treatment option without any scaffolds or growth factors for intervertebral disc degeneration diseases.
Attribute Reduction Method Based on Binary Sparrow Search Algorithm and Neighborhood Rough Set
Authors: Li Meixuan , Liu Wei , Yan Chun , Zhang Mengchao 
Published: November 2022

Abstract
In this paper, an attribute reduction algorithm of neighborhood rough set based on variable precision is proposed, and the lower approximate calculation formula is redefined, which solves the shortcomings of traditional neighborhood rough set, such as fault tolerance and weak noise resistance. Considering that the traditional attribute reduction algorithm is serial search, it is easy to fall into the local optimal solution. Therefore, this paper proposes to combine intelligent optimization algorithm with neighborhood rough set. On the basis of the excellent performance of continuous sparrow search algorithm (SSA), a binary sparrow algorithm (BSSA) is proposed to solve the binary discrete problem, which is used to solve the optimal combination of attributes. In this paper, according to the definition of positive region monotonicity, distance matrix is introduced. For the positive region sample in a single attribute, it can be omitted in the subsequent calculation, and the calculation of positive region is transformed into the form of adding several matrices, which provides an effective method to solve positive region for variable precision neighborhood rough set. Finally, five UCI standard data sets were used as experimental objects to compare with other 4 attribute reduction algorithms. The experimental results show that both the number of attribute parsimony and the accuracy of classification, the proposed algorithm shows a strong advantage.
A systematic scoping review of medicine availability and affordability in Africa
Authors: Lane Jeff , Nakambale Hilma , Kadakia Asha , Dambisya Yoswa , Stergachis Andy , Odoch Walter Denis 
Published: November 2022

Abstract
Background. Access to safe, effective, quality and affordable essential medicines has become a key agenda at national and international levels following the adoption of the Sustainable Development Goals (SDG). This agenda is especially important in African countries where numerous studies have found high levels of medicine unavailability and unaffordability. In 2003, the World Health Organization (WHO)/ Health Action International (HAI) published a manual for assessing medicine availability and affordability. To date, there has not been a systematic study appraising medicine affordability and availability studies in the Africa region that identifies the methodologies and measures used to measure and monitor progress.
Methods. We conducted a systematic scoping review of studies assessing medicine availability or affordability conducted in the WHO Africa region in the years 2009-2021.
Results. 244 articles met our eligibility criteria. A majority (87%) of the articles reported descriptive studies, while 11% reported interventional studies. More than two-thirds (68%) reported studies conducted in four countries in eastern Africa. The most commonly studied medicines were antiparasitic and anti-bacterial medicines. The most commonly used measures of medicine availability were whether a medicine was in stock on the date of a survey, whether stockouts occurred during a particular period, whether a medicine was on a stock list, amount of stock available, respondent self-reported availability and prescription refill data. Of the 59 articles that included affordability measures, 39 compared the price of the medicine to the daily wage of the lowest paid government worker. Other affordability measures were patient self-reported affordability, capacity to pay based on individual income and expenses, and comparing medicines prices with a population-level income standard (such as minimum wage, poverty line, or per capita income).
Conclusion. Our results indicate substantial adoption of the medicine availability and affordability assessment methodology recommended by WHO/HAI, but also revealed a promising set of alternative methods and measures. Our review also indicated a need for greater focus on medicines for certain non-communicable diseases, including anti-neoplastics, greater geographic diversity in the countries where these studies are conducted, and more interventional studies to identify interventions for improving access to medicines in the region.
Extraction of tidal wetland from remote sensing image based on spatio-temporal data fusion algorithm
Authors: Wang Zhicheng , Jiang Xiaopeng , Gao Zhiqiang 
Published: November 2022

Abstract
Due to the influence of the temporal resolution and clouds on remote sensing images, it is difficult for traditional remote sensing based methods to obtain remote sensing image corresponding to the lowest tide, which can result in an inaccurate extraction of tidal wetlands from remote sensing images. To deal with this deficiency, in this study, we proposed to extract tidal wetlands by using spatio-temporal data fusion algorithm. And then we compared the performance of three typical spatio-temporal data fusion algorithms —— Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM), Flexible Spatiotemporal DAta Fusion model (FSDAF) and GAN-based Spatio-Temporal Fusion Model (GANSTFM) —— in the extraction of tidal wetlands. Finally, the most suitable spatio-temporal data fusion algorithm in extracting large-scale and long time series tidal wetlands was selected. Our study had three main results: (1) Fusion images reflected the spatial distribution of tidal wetlands well; GANSTFM was the best and FSDAF algorithm ranked the second in extracting tidal wetlands. (2) The tidal wetland extraction results from different fusion images were in good agreement with the reference result, and the overall accuracies of extraction results were greater than 94%. (3) Considering the calculation amount, required amount of input data and the accuracy of the result, we selected FSDAF algorithm as the most suitable spatio-temporal data fusion algorithm used to extract large-scale and long time series tidal wetlands. The proposed method can sever as a reliable method to conduct extraction of large-scale and long time series tidal wetlands.
Clinical characteristics and therapeutic strategy of Granulomatous mastitis accompanied by Corynebacterium kroppenstedtii —— a retrospective cohort study
Authors: Li Shunbo , Huang Qian , Song PeiPei , Han XiaoRong , Liu ZeYu , Zhou Lin , Ning Ping 
Published: November 2022

Abstract
Background: More and more evidences have suggested that Corynebacterium kroppenstedtii is associated with some cases of granulomatous mastitis, mostly based on pathology or microbiology. We aimed to find the clinical characteristics and treatment regimens for granulomatous mastitis with Corynebacterium kroppenstedtii infection. Understanding these clinical features is essential for patient care.
Methods: We retrospectively collected 201 patients who were diagnosed as granulomatous mastitis pathologically and had microbiological results either Corynebacterium kroppenstedtii or no bacterial growth, recorded and analyzed their demographics and clinical characteristics, clinical outcome.
Results: There were 107 patients in CK group, 94 patients in negative group. Sinus formation (x2=13.028, p=0.000), time to complete remission at the first treatment periods (Z=-3.027, p=0.002), diameter of breast mass at first-time medical consultancy (Z=-2.539, p=0.011) and recurrence (x2=4.953, p=0.026) were statistically significant. Age (Z=-1.046, p=0.295), laterality (x2=4.217, p=0.121), delivery way (x2=0.098, p=0.755), time to presentation since last delivery (x2=0.028, p=0.868), BMI (Z=-0.947, p=0.344), lactating time (Z=-1.378, p=0.168), parity (x2=1.799, p=0.180), gravida (Z=-0.144, p=0.885), history of lactational mastitis or abscess (x2=0.115, p=0.734), local trauma (x2=0.982, p=0.322), hyperprolactinemia (x2=0.706, p=0.401), erythema nodosum (x2=0.292, p=0.589), nipple discharge (x2=0.281, p=0.596) did not demonstrate a statistically significance. As to recurrence related to therapeutic strategy, except for surgery combined with immunosuppressants (x2=9.110, p=0.003) was statistically significant, none of the other treatment regimens reached statistical significance. Recurrence rate of patients in CK group using rifampicin in their treatment course was 22.0% (x2=4.892, p=0.027).
Conclusions: Granulomatous mastitis accompanied by Corynebacterium kroppenstedtii is easier to form sinus and has higher recurrence rate. Both of the clinical characteristics may prove Corynebacterium kroppenstedtii plays an important role in the development and progression of granulomatous mastitis. Lipophilic antibiotics may be essential for GM with Corynebacterium kroppenstedtii infection.
DEPROMP Trial: The additive value of PSMA-PET/CT-guided biopsy for prostate cancer management in biopsy naïve men – study protocol for a randomized controlled trial
Authors: Krausewitz Philipp , Bundschuh Ralph Alexander , Gaertner Florian C. , Essler Markus , Attenberger Ulrike , Luetkens Julian , Kristiansen Glen , Muders Michael , Ohlmann Carsten-Henning , Hauser Stefan , Ellinger Jörg , Ritter Manuel 
Published: November 2022

Abstract
Background:
Primary objective: To determine the proportion of men with suspected prostate cancer (PCA) in whom the management plans are changed by additive Gallium-68 prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA-PET/CT) guided prostate biopsy (PET-TB) in combination with standard of care (SOC) using systematic (SB) and multiparametric magnetic resonance imaging guided biopsy (MR-TB) compared with SOC alone.
Major secondary objectives: To determine the additive value of the combined approach of SB + MR-TB + PET-TB (PET/MR-TB) for detecting clinically significant PCA (csPCA) compared to SOC; to determine sensitivity, specificity, positive and negative predictive value and diagnostic accuracy of imaging techniques, respective imaging classification systems and each biopsy method; to compare preoperatively defined tumor burden and biomarker expression and pathological tumor extent in prostate specimens.
Methods: The DEPROMP study is a prospective, open-label, interventional investigator initiated trial. Risk stratification and management plans after PET/MR-TB are conducted randomized and blinded by different evaluation teams of experienced urologists based on histopathological analysis, imaging information: one including all results of the PET/MR-TB and one excluding the additional information gained by PSMA-PET/CT guided biopsy.
The power calculation was centered on pilot data and we will recruit up to 230 biopsy-naïve men who will undergo PET/MR-TB for suspected PCA. Conduct and reporting of MRI and PSMA-PET/CT will be performed in a blinded fashion.
Discussion: The DEPROMP trial will be the first to evaluate the clinically relevant effects of the use of PSMA-PET/CT in patients with suspected PCA compared to current SOC. The study will provide prospective data to determine the diagnostic yields of additional PET-TB in men with suspected PCA and the impact on treatment plans in terms of intra- and intermodal changes. The results will allow a comparative analysis of risk stratification by each biopsy method, including a performance analysis of the corresponding rating systems. This will reveal potential intermethod and pre- and postoperative discordances of tumor stage and grading, providing the opportunity to critically asses the need for multiple biopsies.
Trail registration:The study was registered in the German Clinical Study Register (DRKS 00024134) on January 26, 2021. www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00024134
The impact of COVID-19 on intention of third-child in China: An empirical analysis based on survey data
Authors: Li Zi , Qian Siwen 
Published: November 2022

Abstract
Background: Against the grim background of an accelerating aging population and a declining intention to have children, the ravages of COVID-19 have pushed China and the world into a more complex social environment. To adapt to the new situation, the Chinese government has implemented the three-child policy in 2021.
Objective：The continuous control of the pandemic will be an inevitable factor for social, economic and population development for a long time in the future. In this context, this paper explores the question that will COVID-19 pandemic affect Chinese people's intention to have a third child? And What are the relevant factors inside?
Method: The data in this paper are from the Survey released by PDPR-CTBU , which including a total of 10,515 samples from mainland of China. This paper uses the logit regression model and KHB model to investigate the impact of the COVID-19 pandemic and other factors on Chinese residents' intention to have a third child.
RESULTS：The results suggest that COVID-19 pandemic has a significant negative effect on Chinese residents' intention to have a third child. In-depth research on the mediating effect of KHB shows that COVID-19 pandemic will further inhibit residents' intention to have a third child by affecting their childcare arrangements, increasing their childcare costs, and increasing their exposure to occupational hazards.
Conclusions：This paper is more pioneering in focusing on the impact of the COVID-19 epidemic on the intention to have three children in China. The study provides empirical evidence for understanding the impact of COVID-19 epidemic on fertility intentions, albeit in the context of policy support.
High Prevalence of Adverse-drug-effects of Multi-drug-resistant Tuberculosis Treatment in Two Referral Hospitals in Uganda
Authors: Mukama Ategyeka Paul , Muhoozi Michael , Naturinda Racheal , Kageni Peter , Namugenyi Carol , Kasolo Amos , Kisaka Stevens , Kiwanuka Noah 
Published: November 2022

Abstract
Background
Multi-drug resistant tuberculosis (MDR-TB) treatment involves toxic drugs that cause adverse-drug-effects (ADEs), which are life threatening and may lead to death if not well managed. In Uganda, the prevalence of MDR-TB is increasingly high and about 95% of the patients are on treatment. However, little is known about the prevalence of ADEs among the patients on MDR-TB medicines. We therefore estimated the prevalence of ADEs of MDR-TB drugs and factors associated with ADEs in two health facilities in Uganda.
Methods
Between March and November 2021, we conducted a retrospective cohort study of MDR-TB patients enrolled at Mulago national referral and Mbarara regional referral hospitals in Uganda. We reviewed files of MDR-TB patients enrolled between January 2015 and December 2020. We extracted data on ADEs, defined as irritative reactions to MDR-TB drugs. We conducted descriptive analysis and modified Poisson regression analysis to determine factors associated with ADEs.
Results
A total of 856 files were reviewed. Overall, 369 (43.1%) of 856 patients had ADEs and 145 (17%) of 856 suffered from more than one. The most recorded effects were: joint pain (244/369 (66%)); hearing loss (75/369(20%)); and vomiting (58/369(16%)). Patients started on the 24 months regimen (adjusted prevalence ratio (adj.PR=1.4, 95%; 1.07, 1.76) and individualized regimens (adj.PR=1.5, 95%; 1.11, 1.93) were more likely to suffer from ADEs. Lack of transport for clinical monitoring (adj.PR=1.9, 95%; 1.21, 3.11); alcohol consumption (adj.PR=1.2, 95%; 1.05, 1.43), and receipt of directly-observed-therapy from peripheral health facilities (adj.PR=1.6, 95%; 1.10, 2.41) were significantly associated with experiencing ADEs. However, patients who received food supplies (adj.PR=0.61, 95%; 0.51, 0.71) were less likely to suffer from ADEs.
Conclusion
Adverse-drug-effects were high among MDR-TB patients and joint-pains was the commonest effect. Interventions such as provision of food supplies, transport and consistent counselling on alcohol consumption to patients at initiation treatment facilities may reduce ADEs
Expert supervised machine learning for contemporary art discovery
Authors: Rebei Amine , Fosset Antoine , Mennaoui Mohamed El , Calligaro Paul , Maria Elise Farge Di , Nguyen-Ban Helene , Rea Francesca , Vallade Marie-Charlotte , Vitullo Elisabetta , Zhang Christophe , Charpiat Guillaume , Rosenbaum Mathieu 
Published: November 2022

Abstract
Recommendation systems have been widely used in various domains such as music, films, e-shopping, etc. After mostly avoiding digitization, the art world has recently reached a technological turning point due to the pandemic, making online sales grow significantly as well as providing quantitative online data about artists and artworks. In this work, we present the first content-based recommendation system specifically designed for contemporary art, relying on images of artworks and contextual metadata of artists. We gathered and annotated artworks with advanced and art-specific information to create a completely unique database that was used to train our models. With this information, we built a proximity graph between artworks. Similarly, we used NLP techniques to characterize the practices of the artists and we extracted information from exhibitions and other event history to create a proximity graph between artists. The power of graph analysis enables us to provide an artwork recommendation system based on a combination of visual and contextual information from artworks and artists. After an assessment by a team of art specialists, we get an average final rating of 75% of meaningful recommended artworks according to their professional evaluations.