bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel necroptosis related gene signature and regulatory network for overall survival prediction in lung adenocarcinoma
Authors: Wang Guoyu , Liu Xue , Liu Huaman , Zhang Xinyue , Shao Yumeng , Jia Xinhua 
Published: September 2023

AbstractWe downloaded the mRNA expression profiles of patients with LUAD and corresponding clinical data from The Cancer Genome Atlas (TCGA) database and used the Least Absolute Shrinkage and Selection Operator Cox regression model to construct a multigene signature in the TCGA cohort, which was validated with patient data from the GEO cohort. Results showed differences in the expression levels of 120 necroptosis-related genes between normal and tumor tissues. An eight-gene signature (CYLD, FADD, H2AX, RBCK1, PPIA, PPID, VDAC1, and VDAC2) was constructed through univariate Cox regression, and patients were divided into two risk groups. The overall survival of patients in the high-risk group was significantly lower than of the patients in the low-risk group in the TCGA and GEO cohorts, indicating that the signature has a good predictive effect. The time-ROC curves revealed that the signature had a reliable predictive role in both the TCGA and GEO cohorts. Enrichment analysis showed that differential genes in the risk subgroups were associated with tumor immunity and antitumor drug sensitivity. We then constructed an mRNA–miRNA–lncRNA regulatory network, which identified lncRNA AL590666. 2/let-7c-5p/PPIA as a regulatory axis for LUAD. Real-time quantitative PCR (RT-qPCR) was used to validate the expression of the 8-gene signature. In conclusion, necroptosis-related genes are important factors for predicting the prognosis of LUAD and potential therapeutic targets.
Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networks
Authors: Coronado Ivan , Pachade Samiksha , Trucco Emanuele , Abdelkhaleq Rania , Yan Juntao , Salazar-Marioni Sergio , Jagolino-Cole Amanda , Bahrainian Mozhdeh , Channa Roomasa , Sheth Sunil A. , Giancardo Luca 
Published: September 2023

AbstractVessel segmentation in fundus images permits understanding retinal diseases and computing image-based biomarkers. However, manual vessel segmentation is a time-consuming process. Optical coherence tomography angiography (OCT-A) allows direct, non-invasive estimation of retinal vessels. Unfortunately, compared to fundus images, OCT-A cameras are more expensive, less portable, and have a reduced field of view. We present an automated strategy relying on generative adversarial networks to create vascular maps from fundus images without training using manual vessel segmentation maps. Further post-processing used for standard en face OCT-A allows obtaining a vessel segmentation map. We compare our approach to state-of-the-art vessel segmentation algorithms trained on manual vessel segmentation maps and vessel segmentations derived from OCT-A. We evaluate them from an automatic vascular segmentation perspective and as vessel density estimators, i.e., the most common imaging biomarker for OCT-A used in studies. Using OCT-A as a training target over manual vessel delineations yields improved vascular maps for the optic disc area and compares to the best-performing vessel segmentation algorithm in the macular region. This technique could reduce the cost and effort incurred when training vessel segmentation algorithms. To incentivize research in this field, we will make the dataset publicly available to the scientific community.
Insight into the effects of different oxygen heteroatoms on nicotine adsorption from cigarette mainstream smoke
Authors: Sakulaue Phongphot , Jitapunkul Kulpavee , Inthasuwan Parinya , Takano Hiromu , Ishii Takafumi , Kongpatpanich Kanokwan , Faungnawakij Kajornsak , Chareonpanich Metta , Nueangnoraj Khanin 
Published: September 2023

AbstractCigarette smoke contains many chemicals, including nicotine, which is harmful and can cause health problems such as carcinogenesis disease, cardiovascular, respiratory, renal, and reproductive systems. Removal of nicotine from mainstream smoke can be done through adsorption with filters or solid adsorbents. In this study, we explored the use of activated carbons for the removal of nicotine from cigarette mainstream smoke. Activated carbons were prepared from dried hemp (Cannabis sativa) stem at an activation temperature of 350–550 °C using phosphoric acid as an activating agent. The results showed that the activated carbons with variable surface functional groups and porosity exhibited high efficiency for nicotine adsorption, removing 68–88% of nicotine from cigarette mainstream smoke. Through X-ray photoelectron spectroscopy and temperature-programmed desorption analyses, we identified that oxygen-containing functional groups, particularly carboxylic groups, exhibited a superior ability to adsorb nicotine. The computational analysis with DFT simulations further supported the importance of oxygen-containing surface functional groups in facilitating nicotine adsorption, with the carboxylic group providing the lowest adsorption energy among other functional groups.
A novel subspace outlier detection method by entropy-based clustering algorithm
Authors: Zuo Zheng , Li Ziqiang , Cheng Pengsen , Zhao Jian 
Published: September 2023

AbstractSubspace outlier detection has emerged as a practical approach for outlier detection. Classical full space outlier detection methods become ineffective in high dimensional data due to the “curse of dimensionality”. Subspace outlier detection methods have great potential to overcome the problem. However, the challenge becomes how to determine which subspaces to be used for outlier detection among a huge number of all subspaces. In this paper, firstly, we propose an intuitive definition of outliers in subspaces. We study the desirable properties of subspaces for outlier detection and investigate the metrics for those properties. Then, a novel subspace outlier detection algorithm with a statistical foundation is proposed. Our method selectively leverages a limited set of the most interesting subspaces for outlier detection. Through experimental validation, we demonstrate that identifying outliers within this reduced set of highly interesting subspaces yields significantly higher accuracy compared to analyzing the entire feature space. We show by experiments that the proposed method outperforms competing subspace outlier detection approaches on real world data sets.
The association between urinary metals/metalloids and chronic kidney disease among general adults in Wuhan, China
Authors: Huang Yuchai , Wan Zhengce , Zhang Mingye , Hu Liu , Song Lulu , Wang Youjie , Lv Yongman , Wang Le 
Published: September 2023

AbstractThe relation between exposure to single metal/metalloid and the risk of chronic kidney disease (CKD) remains unclear. We aimed to determine the single and mixed associations of 21 heavy metals/metalloids exposure and the risk of CKD. We performed a cross-sectional study that recruited 4055 participants. Multivariate logistic regression, linear regression and weighted quantile sum (WQS) regression were conducted to explore the possible effects of single and mixed metals/metalloids exposure on the risk of CKD, the risk of albuminuria and changes in the estimated glomerular filtration rate (eGFR). In single-metal models, Cu, Fe, and Zn were positively associated with increased risks of CKD (P-trend < 0.05). Compared to the lowest level, the highest quartiles of Cu (OR = 2.94; 95% CI: 1.70, 5.11; P-trend < 0.05), Fe (OR = 2.39; 95% CI: 1.42, 4.02; P-trend < 0.05), and Zn (OR = 2.35; 95% CI: 1.31, 4.24; P-trend < 0.05) were associated with an increased risk of CKD. After multi-metal adjustment, the association with the risk of CKD remained robust for Cu (P < 0.05). Weighted quantile sum regression revealed a positive association between mixed metals/metalloids and the risk of CKD, and the association was largely driven by Cu (43.7%). Specifically, the mixture of urinary metals/metalloids was positively associated with the risk of albuminuria and negatively associated with eGFR.
Plasma untargeted metabolomics with proteinase K discloses phospholipid signature associated with pulmonary arterial hypertension
Authors: Wawrzyniak Renata , Biesemans Margot , Kugacka-Dąbrowska Alicja , Lewicka Ewa , Bartoszewski Rafał , Markuszewski Michał J. 
Published: September 2023

AbstractPulmonary arterial hypertension is a rare but life-threatening and clinically heterogeneous disease. The diagnostic schedule of this disorder is complex, and no specific indicator of the arterial etiology has been explored. In this study, untargeted plasma metabolomics was applied to evaluate the metabolic fingerprints of pulmonary arterial hypertension patients. Plasma samples were prepared using a new approach, which applies proteinase K during the sample preparation procedure to increase the metabolite coverage. The metabolic fingerprints were determined via LC–MS and subsequently analyzed with the use of both uni- and multivariate statistics. A total of 21 metabolites were discovered to be significantly altered in pulmonary arterial hypertensive patients. The metabolites were mainly related to the phospholipid metabolic pathways. In this study, decreases were found in the phosphatidylcholines (PCs) [PC(32:0), PC(40:7), PC(42:7)], phosphatidylethanolamine PE(18:0/18:2), lysophosphatidylethanolamines (LPEs) [LPE(22:6), LPE(18:2), LPE(18:0), LPE(20:4), LPE(20:1), LPE(20:0)], lysophosphatidylcholine LPC(20:4) and lysophosphatidylserine LPS(19:0), as well as increase of sphingomyelin SM(36:2), in the plasma samples of pulmonary arterial hypertensive patients in comparison to the control group. Besides their function as components of the biological membranes, these metabolites are also involved in the intracellular signaling pathways that are related to cell proliferation and apoptosis. The results obtained during this study confirm the potential of (untargeted) metabolomics to identify the molecular characteristics of the pathophysiology of pulmonary arterial hypertension. The clinical relevance of this study constitutes the selection of a metabolic panel that can potentially detect and properly diagnose the disease.
Replicating superspreader dynamics with compartmental models
Authors: Meehan Michael T. , Hughes Angus , Ragonnet Romain R. , Adekunle Adeshina I. , Trauer James M. , Jayasundara Pavithra , McBryde Emma S. , Henderson Alec S. 
Published: September 2023

AbstractInfectious disease outbreaks often exhibit superspreader dynamics, where most infected people generate no, or few secondary cases, and only a small fraction of individuals are responsible for a large proportion of transmission. Although capturing this heterogeneity is critical for estimating outbreak risk and the effectiveness of group-specific interventions, it is typically neglected in compartmental models of infectious disease transmission—which constitute the most common transmission dynamic modeling framework. In this study we propose different classes of compartmental epidemic models that incorporate transmission heterogeneity, fit them to a number of real outbreak datasets, and benchmark their performance against the canonical superspreader model (i.e., the negative binomial branching process model). We find that properly constructed compartmental models can capably reproduce observed superspreader dynamics and we provide the pathogen-specific parameter settings required to do so. As a consequence, we also show that compartmental models parameterized according to a binary clinical classification have limited support.
Anatomical Step-by-Step Dissection of Complex Skull Base Approaches for Trainees: Lateral Supraorbital Approach with Expanded Indications
Authors: Zhao Xiaochun , Prather Kiana Y. , Bauer Andrew M. , Dunn Ian F. , Graffeo Christopher S. 
Published: September 2023

Abstract
Objectives The lateral supraorbital (LSO) approach is a less-invasive alternative to the pterional craniotomy that provides rapid transsylvian access. Establishing familiarity with the LSO technique and its features as compared with other anterolateral approaches is an important component of advanced skull base training. We present a step-by-step demonstration of the LSO approach using cadaveric dissection in a manner that is digestible for trainees at various levels.
Design This is anatomic step-by-step dissection and representative case series.
Setting This study was carried out in the cadaveric dissection laboratory.
Participants A formalin-fixed, latex-injected cadaveric head specimen was dissected under microscopic magnification by a neurosurgery resident under faculty supervision. Following dissection, representative case applications were reviewed.
Main Outcome Measures Dissection and case illustration were the main outcome measures.
Results A single-layer myocutaneous flap is developed, and a single-burr-hole technique is used, followed by extensive drilling of the sphenoid wing. The dura is opened in a C-shaped fashion centered on the Sylvian fissure, exposing the inferior frontal and superior temporal lobes. Labeled photographs of dissections with pertinent anatomical structures are presented. Three case examples illustrating the versatility of the LSO approach, including the resection of a large pituitary adenoma, an inferior frontal melanoma metastasis presenting to the Sylvian surface, and a frontoinsular low-grade glioma, are reviewed.
Conclusion As compared with the pterional craniotomy, the LSO approach involves a shorter incision, smaller craniotomy, and faster exposure; it can be conveniently tailored to various indications. Understanding the step-by-step dissection and indications of the LSO approach is of paramount importance to neurosurgery trainees.
Fatal Cerebral Malarial in a Burn Patient - A Case Report
Authors: Sharma P K , Badkur D S , Tamaskar S M 
Published: September 2023

SummaryA 25 year old male with 50% burns died on the 10th post burn day due to cerebral malaria. The clinical features and post mortem findings are described. The need to think of another cause for symptoms which appear like septicaemia particularly in an unresponsive patient is emphasised.
Reverse Digital Artery Island Flap for Finger-Tip Defects
Authors: Sabapathy S Raja , Babu S Suresh , Agarwal Anil K 
Published: September 2023

SummaryFive finger-tip amputations and two fingers with pulp-loss were covered with reverse digital artery island flaps from the same finger. The flap was successful in all cases and provided cosmetically and functionally acceptable results. One patient had venous congestion, but the flap survived. This flap would be particularly useful when the nature of injury precludes the use of local advancement flaps and cross-finger flaps.
Analysis Of 31 Cases Of Delayed Closure Of The Cleft Palate
Authors: Patel Dr. Jyotsna , Govilkar Dr. Prashant , Thatte Dr. Ravin 
Published: September 2023

AbstractThis study includes an analysis of 31 cases treated by delayed closure of hard palate. Emphasis of this study is on speech and maxillary growth. Advantage of delayed closure of the hard palate like better maxillary growth does not seem, compensated for the speech problem associated with the procedure.
Phlebographic Detection Of Deep Vein Thrombosis After Major Surgery
Authors: Kesarwani Dr. R.C. , Katiyar Dr. R.K. , Mittal Dr. Shashank 
Published: September 2023

Abstract60 patients from Various surgical disciplines, one third of which already with pre-existing venous diseases were subjected to phlebography for detection of deep vein thrombosis. Results are presented.
After the pandemic: the global seafood trade market forecasts in 2030
Authors: Wei Chunzhu , Zhang Mo , Chen Wei , Ge Yong , Wang Daoping , Zhang Die , Xue Desheng , Cheng Qiuming , Cheng Changxiu , Zhang Wenguang 
Published: September 2023

AbstractThe COVID-19 lockdowns have transitioned to a new normal and triggered commodity supply disruption and trade uncertainty, yet little is known about the seafood trade resilience of developing and developed countries amid pandemic-related shocks. Here, employing a newly developed geographical transition-net model, we simulate a set of idealized lockdown scenarios in a real-world seafood network. The results show that (1) even if restrictions from regions with high strictness policies were eventually lifted globally at the end of 2022, the pandemic-induced disruption will continue to affect global seafood trade until 2030, and the annual growth rate of the global seafood market would be around 1% lower than that during 2006–2019; (2) Due to the continued high level of stringency in China in 2022 and the soaring demand of seafood in the developed countries in the post-COVID-19 era, developed countries are increasingly reliant on their intra-regional trade until 2030; (3) The global seafood supply chains will magnify export losses beyond the direct effects of COVID-19, and there would be 17 to 57 million people in the developing countries in 2030 facing seafood supply shortage. The new long-term challenge is to call for the multilateral cooperation of major exporters for global seafood trade recovery. Our study provides a new perspective to evaluate the economic impact of COVID-19 as well as the cascading effect caused by the supply-chain linkages in the global seafood system.
Export duration and firm markups: evidence from China
Authors: Yue Wen , Lin Qingxia 
Published: September 2023

AbstractAgainst the backdrop of China’s upgrading of its openness to the outside world, analyzing the impact of export markets on a firm’s markup—an important indicator of a firm’s pricing power and market power—is of great significance for improving the firm’s international competitiveness and the benefits of the global value chain. This study theoretically and empirically examines the effect of export duration on firm markups using micro data from Chinese manufacturing enterprises. According to a theoretical study, an increase in export duration will result in an increase in firm markups via the “production efficiency” channel but a decrease in firm markups via the “market-based pricing” channel. Therefore, the impact of an increase in export duration on the markups of firms is uncertain. Results of the empirical analysis reveal that the positive impact of an increase in export duration on the markups of Chinese manufacturing firms via the “production efficiency” channel is higher than the negative impact of an increase in export duration via the “market-based pricing” channel. Overall, the increase in export duration has a positive impact on Chinese manufacturing companies’ markups. This conclusion is valid after a series of robustness tests. Further analysis reveals that the impact of export duration on the markups of different types of Chinese manufacturing firms differs, and significant heterogeneity exists. This research can help us better understand how Chinese export firms fall into the “low markup trap” and offer fresh insight into how export markets affect company markups.
A repugnant possibility
Authors: Giner Diana 
Published: September 2023

AbstractCommisa v Pemexis one of the rare cases where an arbitral award set aside at the seat of arbitration is enforced. The judges are forced to justify how the notion of public policy becomes a priority over international comity.This paper explores, from a pragma-dialectic approach, what rhetorical strategies are employed to justify this decision. Legal Argumentation Theory (van Eemeren & Grootendorst, 2004;Feteris, 2005;van Eemeren, 2007;Feteris & Kloosterhuis, 2009) values a combination between rational knowledge and rhetoric; for which interpersonality could be highly involved. On the one hand, metaphor (Lakoff & Turner, 1989;Sopory & Dillard, 2002; Mussolf, 2017) supports the legal argumentation; while, on the other hand, hedges, intensifiers, attitudinal markers (Vande Kopple, 1985; Crismore, 1993; Hyland, 1999, 2000a;Dafouz, 2003) shape the message to convince the audience that, on this occasion, a previously annulled international arbitral award should be enforced.
The semiotics of Kosovo’s streetscapes
Authors: Jusufi Lumnije , Sadiku Milote 
Published: September 2023

Abstract
Post-war Kosovo is characterised by strong transition processes, including in the car and service vehicle sector,
and Germany, German culture, and the German language play a central role in these processes. The popularity of used vehicles
imported from German-speaking countries has led to a change in the appearance of Kosovo’s streetscapes. These cars often carry
signage or texts written in German and are very common in Kosovo. The spread of these cars is due both to the lower cost and to
the high prestige of the German language and culture in Kosovo. Often the owners also keep the German number plates, as the
registration of cars in Kosovo is not handled very strictly, or they retain the sticker that designates the country of origin of
the vehicle, ‘D’ for Germany, ‘A’ for Austria and ‘CH’ for Switzerland. As a result, there is a strong German influence to be
found across Kosovo’s streetscapes. Our article is dedicated to these particular semiotic landscapes on the basis of empirically
collected photographic material. Data was collected outside the transmigrant season, i.e. outside the months around the turn of
the year and the summer vacations, and the period of the lockdowns during the Covid-19 pandemic to avoid as far as possible
non-residential German signs.
The role of U(1)
A
symmetry breaking in the QCD corrections to the pion mass difference
Authors: Ali Mahammad Sabir , Aminul Islam Chowdhury , Sharma Rishi 
Published: September 2023

Abstract
The charged and neutral pion mass difference can be attributed to both the quantum electrodynamics and QCD contributions. The current quark mass difference (Δm) is the source of the QCD contribution. Here, in a two-flavour non-local Nambu–Jona-Lasinio model, we try to estimate the QCD contribution. Interestingly, we find that the strength of the

U

1

A

symmetry-breaking parameter c plays a crucial role in obtaining the pion mass difference while intertwined with the current quark mass difference. To obtain the QCD contribution for the pion mass difference, we scan the parameter space in {Δm, c}, and by comparing this with the existing results, we constrained the parameter space. Further, using a fitted value of c, we determine the allowed range for the Δm in the model. The model estimated Δm ranges enable us to extract the chiral perturbation theory low energy constant, l
7 and verify the dependence of the pion mass difference on Δm. We also find out its dependence on c—it increases with the decreasing value of c, i.e. toward an axial anomaly restored phase.