bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of endoplasmic reticulum stress-related biomarkers of diabetes nephropathy based on bioinformatics and machine learning
Authors: SU Jiaming , PENG Jing , WANG Lin , XIE Huidi , ZHOU Ying , CHEN Haimin , SHI Yang , GUO Yan , ZHENG Yicheng , GUO Yuxin , DONG Zhaoxi , ZHANG Xianhui , LIU Hongfang 
Published: March 2023

Abstract
Background: Diabetes nephropathy (DN) is a growing public health concern worldwide. Renal dysfunction impairment in DN is intimately linked to ER stress and its related signaling pathways. Nonetheless, the underlying mechanism and biomarkers for this function of ER stress in the DN remain unknown.
Methods: Microarray datasets were retrieved from the Gene Expression Omnibus (GEO) database, and ER stress-related genes (ERSRGs) were downloaded from the MSigDB and GeneCards database. We identified hub ERSRGs for DN progression by intersecting ERSRGs with differentially expressed genes and significant genes in WGCNA, followed by a functional analysis. After analyzing hub ERSRGs with three machine learning techniques and taking the intersection, we did external validation as well as developed a DN diagnostic model based on the characteristic genes. Immune infiltration was performed using CIBERSORT. Moreover, patients with DN were then categorized using a consensus clustering approach. Eventually, the candidate ERSRGs-specific small-molecule compounds were defined by CMap.
Results: Several biological pathways driving pathological injury of DN and disordered levels of immune infiltration were revealed in the DN microarray datasets and strongly related to deregulated ERSRGs by bioinformatics multi-chip integration. Moreover, CDKN1B, EGR1, FKBP5, GDF15, and MARCKS were identified as ER stress signature genes associated with DN by machine learning algorithms, demonstrating their potential as DN biomarkers.
Conclusions: Our research sheds fresh light on the function of ER stress in DN pathophysiology and the development of early diagnostic and ER stress-related treatment targets in patients with DN.
Establishment of Multiplex qPCR System for Common Pathogens and Its Application In the Detection of Fracture Related Infections
Authors: Ma Xianzhi , Li Wenlong , Li Xuemin , Chao Shilan , Ma Sichao , Qi Wanle , Zheng Liansheng 
Published: March 2023

Abstract
Background: The study aims to use five common pathogenic bacteria in Fracture-related infection (FRI) to establish a simple and fast multiplex qPCR method for initially clinical FRI detection.
Methods: A total of 66 patients with FRI and 24 noninfectious volunteers were enrolled. Results from tissue culture and multiplex qPCR were analyzed and compared. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), Youden Index and area under the ROC curve (AUC) of the two methods were calculated respectively.
Results: For 66 FRI cases, tissue culture detected 63 cases (95.5%) and multiplex qPCR detected 56 cases (84.8%). Among the 24 control cases, 12.5% and 16.7% were detected positive by tissue culture and multiplex qPCR, respectively. The sensitivity and specificity of multiplex qPCR were 84.8% and 66.7%, while those of tissue culture were 95.4% and 87.5%, respectively. To 51 cases within the detection profile, five common pathogens of FRI, the sensitivity and specificity of PCR changed to 92.2% and 90.9%, respectively.
Conclusion: The advantage of multiplex qPCR is short processing time (< 5h) and simple steps. The multiplex qPCR may provide a complemental method for clinical FRI detection due to the simplicity and rapidity.
Radiomics models based on multisequence MRI for prediction of PD-1/PD-L1 expression in hepatocellular carcinoma
Authors: Gong Xue-Qin , Liu Ning , Tao Yun-Yun , Li Li , Li Zu-Mao , Yang Lin , Zhang Xiao-Ming 
Published: March 2023

Abstract
The purpose of this study was to explore the efficacy of radiomics based on multisequence MRI to predict the expression of PD-1/PD-L1 in HCC.One hundred eight patients with HCC who underwent contrast-enhanced MRI 2 weeks before surgical resection were enrolled in this retrospective study.Corresponding paraffin sections were collected for immunohistochemistry to detect the expression of PD-1 and PD-L1. All patients were randomly divided into a training cohort and a validation cohort at a ratio of 7:3.The radiomics features were extracted from axial fat suppression T2-weighted imaging (FS-T2WI), the arterial phase (A) and portal phase (P) of axial dynamic contrast-enhanced MRI, and the corresponding feature sets were generated. The least absolute shrinkage and selection operator (LASSO) was performed to select the optimal radiomics features for analysis. A logistic regression analysis was performed to construct single-sequence (FS-T2WI, A and P) and multisequence radiomics (M) models. The predictive performance was judged by the area under the receiver operating characteristic curve (AUC) in the training and validation cohorts.In the whole cohort, PD-1 expression was positive in 43 patients and PD-L1 expression was positive in 34 patients. The AUC values of the FS-T2WI, A, P and M models to predict the expression of PD-1 were 0.696, 0.843, 0.863, and 0.946 in the training group and 0.669, 0.792, 0.800 and 0.815 in the validation group, respectively.The AUC values of the FS-T2WI, A, P and M models to predict PD-L1 expression were 0.731, 0.800, 0.800, and 0.831 in the training group and 0.621, 0.743, 0.771,and 0.810 in the validation group, respectively. The combined model (M model) performed better than the other radiomics models. The results of this study suggest that a radiomics model based on multisequence MRI had the potential to predict the preoperative expression of PD-1 and PD-L1 in HCC, which may become a imaging biomarker for ICI treatment.
Clinical characteristics of Dieulafoy’s Lesion in the Small Bowel Diagnosed and Treated by Double-Balloon Endoscopy
Authors: Nakamura Masanao , Yamamura Takeshi , Maeda keiko , Sawada Tsunaki , Ishikawa Eri , Furukawa Kazuhiro , Iida Tadashi , Mizutani Yasuyuki , Yamao Kentaro , Ishikawa Takuya , Honda Takashi , Ishigami Masatoshi , Kawashima Hiroki 
Published: March 2023

Abstract

BACKGROUNDS Obscure gastrointestinal bleeding indicates bleeding in which the source cannot be determined even by balloon-assisted endoscopy. In some cases, the cause is assumed to be a Dieulafoy’s lesion in the small bowel. AIM This retrospective study aimed to reveal the clinical characteristics of Dieulafoy’s lesion in the small bowel as diagnosed by double-balloon endoscopy and consider whether it is possible to predict bleeding from Dieulafoy’s lesionbefore endoscopy in obscure gastrointestinal bleeding. METHOD We reviewed the database of our hospital and identified 38 patients who were diagnosed with Dieulafoy’s lesion and underwent treatment during double-balloon endoscopy. The clinical background, diagnosis, and treatment details of patients with Dieulafoy’s lesion were examined. RESULTS The median age of the 38 patients was 72 years, and 50% of the patients were male. Of the patients, 26 (68%) had a high comorbidity index. We analyzed whether the first double-balloon endoscopy could be definitely diagnosed. Multivariate analysis revealed that hematochezia of ≥ 2 episodes was the independent factor associated with ≥ 2 double-balloon endoscopy diagnoses. The factors associated with re-bleeding after endoscopic treatment were analyzed. Multivariate analysis did not reveal any independent factor associated with re-bleeding, although the number of hemoclips used was likely to be associated. CONCLUSION In cases where a patient experiences two or more episodes of hematochezia, balloon-assisted endoscopy, prepared with optional devices, should be scheduled at the earliest possible time.
Productive and non-productive phase of dengue virus infection in human umbilical cord blood: Egress Viral Particles on Vero cell line
Authors: Vats Amrita , Ho Tzu-Chuan , Puc Irwin , Chang Chiung-Hsin , Perng Guey.Chuen , Chen Po-Lin 
Published: March 2023

Abstract
Although dengue virus (DENV) can establish infection in hematopoietic stem progenitor cells (HSPCs), there is little information on dengue virus persistent infection in CD34+ and CD133+ cell surface glycoprotein of hematopoietic stem cells (HSCs). CD34 and CD133 also function as cell-cell adhesion factors which are present in umbilical cord blood (UCB). In this study, we attempted to establish a persistent infection model of DENV infection in UCB by infecting for a prolonged period of 30 days. Post-infection of DENV exhibited a productive and non-productive phase of DENV production. Using plaque assay, western blot, and confocal microscopy, we Show that CD133 and CD34 cells are target cells for DENV infection. Moreover, we show that DENV particles can be recovered from the non-productive phase of DENV infected CD34 and CD133 cells after co-incubation with Vero cells. We concluded that CD133 and CD34 retain their capacity to produce the infectious virus due to proliferation and their ability to repopulate, as deduced from BrdU proliferation assay and flow cytometry analysis using t-distributed stochastic neighbor embedding. In summary, the platform to co-culture infected primitive HSCs from its non-productive phase onto Vero cells will give new insight into understanding the DENV dynamics in cell-to-cell transmission and reactivation of the virus.
Reducing parametrization errors for polar surface turbulent fluxes using machine learning
Authors: Cummins Donald P. , Guemas Virginie , Blein Sébastien , Brooks Ian M. , Renfrew Ian A. , Elvidge Andrew D. , Prytherch John 
Published: March 2023

Abstract
Turbulent exchanges between sea ice and atmosphere are known to influence the melting rate of sea ice, the development of atmospheric circulation anomalies and, potentially, teleconnections between the Arctic and non-polar regions. Large model errors remain in the parametrization of turbulent heat fluxes over sea ice in climate models, resulting in significant uncertainties in projections of future climate. Fluxes are typically calculated using bulk formulae, based on Monin-Obukhov similarity theory, which have shown particular limitations in polar regions. Parametrizations developed specifically for polar conditions (e.g. representing form drag from ridges or melt ponds in sea ice) rely on sparse observations and thus may not be universally applicable.
In this study, new data-driven parametrizations have been developed for surface turbulent fluxes of momentum, sensible heat and latent heat in the Arctic. Machine learning has already been used outside the polar regions to provide accurate and computationally inexpensive estimates of surface turbulent fluxes. To investigate the feasibility of this approach in the Arctic, we have fitted neural network models to a reference dataset (SHEBA). Predictive performance has been tested using data from other observational campaigns. For momentum and sensible heat, performance of the neural networks is found to be comparable to, and in some cases substantially better than, that of state-of-the-art bulk formulations.
These results offer an efficient alternative to the traditional bulk approach in cases where the latter fails, and can serve to inform further physically based developments.
Characteristics and Spatial Distribution of Highway Damage caused by the Ms6.8 Luding Earthquake
Authors: Zhao Fei , Zhu Ming , Li Jie , Xu Yifei , Dan Chen , Xiao Yi , Qiu Ruicheng , Dong Jianhui 
Published: March 2023

Abstract
On September 5, 2022, an Ms6.8 earthquake struck Luding County, Kardze Prefecture, Sichuan Province—an area that is particularly vulnerable to geological changes. The earthquake caused considerable damage along the highway, leading to road disruptions and blockages, further isolating earthquake-stricken areas. This mandated investigations on the traffic conditions and road damage. Accordingly, a rapid survey of the main highways in this area was conducted, and 507 damage points were identified. Roadbed damage accounted for >70% of the total damage. Co-seismic disasters were primarily distributed along the highways on both sides of the Dadu River in the reservoir area of the Dagangshan Hydropower Station, Caoke Township, and Detuo Township. Further, six factors under three categories of the spatial distribution of highway damage in the earthquake-stricken areas were analyzed. The rate of highway damage was positively correlated with the seismic intensity but negatively correlated with the fault and river distances. The earthquake intensity had the most significant impact: 37.5% of road disruptions were found in areas with an intensity of IX; this percentage was 1.6 and 5.8 times greater than those found in areas with intensities of VIII and VII, respectively. The roads with the most significant damage were in regions with intensities above VIII, faults within 5 km, slopes within 30°–70°, rivers within 100 m, and the presence of granite. This indicated that these factors aggravated highway disruption, resulting in >90% of damaged highways in strongly shaken regions. Our findings may provide guidance for efficient highway recovery following earthquakes.
Molecular detection and characterization of three novel parvoviruses belonging to two different subfamilies in zoo birds
Authors: Wang Yan , Sun Yijie , Li Xin , Chen Rong , Li Wang , Ji Li , Zhao Qifan , Ji Likai , Yang Shixing , Zhang Wen 
Published: March 2023

Abstract
Birds carry a large number of viruses that may cause diseases in animals or human. At present, virome of zoo birds are limited. In this study, using viral metagenomics method, we investigated the feces virome of zoo birds collected from a zoo of Nanjing, Jiangsu Province, China. Three novel parvoviruses were obtained and characterized. The genome of the three viruses are 5,909 bp, 4,411 bp and 4,233 bp in length respectively which encoded four or five ORFs. Phylogenetic analysis indicated that these three novel parvoviruses clustered with other strains formed three different clades. Pairwise comparison of NS1 amino acid sequences showed that Bir-01-1 shared 44.30%-74.92% aa sequence identity with other parvoviruses belonging to the genus Aveparvovirus, while Bir-03-1 and Bir-04-1 had lower than 66.87% and 53.09% aa sequence identity with other parvoviruses belonging to the genus Chaphamaparvovirus. These three viruses were identified as three novel species of the genus Aveparvovirus and Chaphamaparvovirus respectively basing on the species demarcation criteria of parvovirus. Our findings broaden the knowledge of the genetic diversity of parvovirus and provide epidemiological data for the outbreak of potential bird’s parvovirus disease.
High-Performance PE/Graphene Composites with Improved Atomic Oxygen Resistance via Synergistic Effect of Graphene Defects and Structure
Authors: Gao Wensheng , Wang Wenjie , Li Yi , Xu Min , Xie Kefeng 
Published: March 2023

Abstract
High-performance polymer/graphene composites have displayed some potentials for atomic oxygen (AO) resistance in low earth orbit spacecraft. However, such polymer composites have not yet exhibited the desired properties due to the lack of understanding of the protective mechanism. Here, the designed graphene with different kind of defects and structure were successfully synthesized to enhance the polymer, polyethylene (PE) was selected as a model polymer matrix. The theoretical and experimental results revealed that the improved AO resistance originates from synergistic effects of structure defects and exfoliation degree of graphene, where the process of defective graphene binding and stabilizing AO is thermodynamically more favorable, and the higher exfoliation of graphene results in the better dispersion in polymer matrix.Finally, Diameter-Thickness (D/T) was employed as an enhancing descriptor to study the structure-performance relationship of the composites, which is expected to provide the reference to tailor the high-performance polymer composites.
Generalized linear(convex) combination of overlap functions on bounded lattices
Authors: Jiang Nan , She Yanhong , Ma Nana , Wu Hongwei 
Published: March 2023

Abstract
In the present article, the notion of the generalized linear(convex) combination of overlap functions, which extend the notion of linear(convex) combination of overlap functions on the unit interval to bounded lattices. Moreover, some algebraic and analytical properties such as associativity, idempotency, conjugacy of the generalized combination are investigated. Particularly, we prove that a generalized convex combination Ka,NO,G(x,y) of two arbitrary overlap functions under the condition G(a,N(a)) = 1 L is also an overlap function in the sense of bi-Scott continuous. Furthermore, we introduce an overlap function induced by equivalence classes in the sense of bi-Scott continuous, and discuss some basic properties related to it.
The redistributive effects of inflation: a microsimulation analysis for Italy
Authors: Curci Nicola , Savegnago Marco , Zevi Giordano , Zizza Roberta 
Published: March 2023

Abstract
We analyse the impact of the marked and unexpected increase in inflation recorded in 2021 and 2022 on Italian households’ purchasing power. Exploiting microsimulation tools we quantify the extent to which government measures supporting households’ incomes and lessening energy price hikes mitigated the distributional impact of the inflationary shock. We show that, if evaluated on the basis of both their cost for the public finances and their impact on inequality, the interventions explicitly targeted towards the less well-off households were the most effective, while the untargeted reductions of energy and fuel prices were the least effective.
JEL Classification: O17; H26; E26; E42.
Population pharmacokinetics of naloxegol in paediatric subjects receiving opioids
Authors: Mascelli Mary Ann , Hruska Matthew W , Liao Sam , Liao Lori , Davies Patrick , Kong Jennifer , Marsteller Douglas A 
Published: March 2023

Abstract
Purpose To characterize the pharmacokinetics (PK) of naloxegol in paediatric subjects (≥ 6 months to <18 years of age) who are either with or at risk of developing opioid-induced constipation (OIC) following single dose administration.
Methods Subjects in three age groups (≥12 to <18 years [adolescents], ≥6 to <12 years, and ≥6 months to <6 years) received at least one low or high dose of naloxegol estimated to achieve plasma exposures comparable to adult 12.5 mg or 25 mg doses, respectively. Plasma naloxegol concentrations were used to estimate PK parameters using non-compartmental (NCA; ≥6 to <18 years) and Population PK (PPK; ≥6 months to < 18 years of age) analyses. The PPK model was developed using previously collected adult data and paediatric data from the current study.
Results Naloxegol exhibits comparable PK characteristics in paediatric and adult subjects. Neither age nor body weight was identified as a significant covariate in the prior (adult only data), or current model. Naloxegol NCA- and PPK-derived AUC0–∞ values normalized to the adult 12.5 mg or 25 mg dose in the ≥6 to <12 years and ≥12 to <18 years age groups were comparable to adults. PPK model-predicted naloxegol AUC0–∞ values for the 25 mg adult equivalent dose for all paediatric age groups were comparable to adults.
Conclusion
The PK of naloxegol was well characterized in paediatric subjects ≥ 6 months of age utilizing both NCA and PPK analysis and was shown to be comparable to adult subjects.
Blockchain Technology in Healthcare, Current and Future Trends – A Systematic Review
Authors: Louis Vernon , Maheshwari Piyush 
Published: March 2023

Abstract

Background: Blockchain, since its advent in 2009, found purpose in various fields like supply chain, e-governance, healthcare, and dispute settlements. This study brings into perspective the current security status of data in the healthcare domain and identifies blockchain use cases in the same. The aim is to circle down on the reasons for adoption of the blockchain technology and the challenges faced by these implementations.
Methods: An automated literature search was conducted on selected databases which specifically focused on healthcare implementations between the years 2016 and 2021 using “blockchain” as the primary keyword. This article considers implementations and proposals of blockchains within the healthcare domain and focuses on identifying why a particular blockchain has been selected over the pool available.
Results: The search convened with 92 identified blockchain healthcare systems. The study identified that the most popular blockchains in the healthcare domain is Ethereum (33.6%) and Hyperledger (17.3%). Data sharing (44.5%) and data integrity (41.3%) are identified as the major challenges that have been addressed by the identified literature. This study concludes by bringing the future of blockchains into perspective, which helps identify the necessity of continued research work.
Conclusions: Building on current healthcare security status, the most popular blockchains in the healthcare domains were identified and the reasons for the adoption of specific blockchain over the various available today were discussed in detail. The stakeholders of such blockchain implementations were also identified along with the challenges that have been successfully addressed including data sharing, integrity, verification, and traceability.
Injuries in professional women’s elite soccer players in Kosovo: a descriptive epidemiological injuries study
Authors: Gashi Feim , Kovacic Tine , Shalaj Ismet , Haxhiu Bekim , Boshnjaku Arben 
Published: March 2023

Abstract

Background: Soccer presents a sport that requires higher intensity and peak performance. An emphasis has been given lately towards women’s engagement together with their potential in soccer. Furthermore, it is believed that the progressive increase in the levels of this sport, keeps demanding increased physical fitness as well as high levels of skills. With the increase in game levels, a proportional increase in the probability of injuries is expected. Having this in mind, we aimed to investigate the major injuries that occur in women’s soccer players.
Methods: This descriptive epidemiological study invited all 286 women’s soccer players from the 12 participating women clubs in the Kosovo 1st Soccer League (elite football level) during the 2021/2022 season, out of which 142 from 12 clubs participated. The FIFA recommendations were followed for defining the type, severity, and duration of soccer-related injuries.
Results: In total 84 injuries were registered with an overall injury ratios (IRs) being 3.21 (CI: 2.56, 3.98) injuries/1000 exposure hours. During the competitive season, each player sustained 1.4 injuries on average. Injury IRs were significantly higher during competition (n = 50; IR = 1.57; CI: 1.52, 1.62) compared to training (n = 34; IR = 0.26, CI: 0.25, 0.27). Location and severity of the injury. Out of a total of 142 women players, 84 (59.2%) injuries occurred, and no record of injuries was made in 58 (40.8%) players.
Conclusion: The women injury IR in Kosovo women’s soccer players is lower than in many other countries while being circa 11% below the international average. Almost 2 out of every 4 injuries were categorized as traumatic, with the injury IRs being more than 5-fold larger during games than during training. Additionally, these findings emphasize the higher rate of injuries amongst younger athletes, suggesting caution to be taken by the coaches when planning for the match. We believe the data we have collected may help coaches and trainers create more targeted women’s soccer injury prevention programs.