bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vaginal microbiome differences between patients with adenomyosis with different menstrual cycles and healthy controls
Authors: Pan Zangyu , Dai Jun , Yuan Ming , Wang Guoyun , Zhang Ping , Ren Qianhui , Wang Xinyu , Yan Shumin , Hao Sun , Jiao Xue 
Published: September 2023

Abstract

Background
Adenomyosis is a commonly observed benign gynecological disease that affects the quality of life and social psychology of women of childbearing age. However, because of the unknown etiology and incidence of adenomyosis, its pathophysiological mechanism remains unclear; further, because no noninvasive, accurate, and individualized diagnostic methods are available, treatment and efficacy evaluations are limited. Notably, the interaction between the changes in the microecological environment of the female reproductive tract and human immunity, endocrine, and other links leads to the occurrence and development of diseases. In addition, the vaginal microbiome differs in different menstrual cycles; therefore, assessing the differences between the microbiomes of patients with adenomyosis and healthy individuals in different menstrual cycles will improve the understanding of the disease and provide references for the search for noninvasive diagnosis and individualized precision treatment of adenomyosis. This study aimed to explored the data of individuals in different menstrual cycles.
Results
Differences in the vaginal microbiome between patients with adenomyosis and healthy individuals were observed. At the phylum level, the relative abundance of Firmicutes species in the adenomyosis group was higher when compared with the control group. At the genus level, the relative abundance of Lactobacillus in the adenomyosis and control groups was the highest, which contributed the most to the species difference between the two groups. Alpha-diversity analysis showed significant differences in the adenomyosis and control group during luteal phase (Shannon index p = 0.0087, Simpson index, p = 0.0056). Beta-diversity analysis showed lower microbial richness in the adenomyosis group than that in the control group by weighted unifrac distance (p = 0.0018). In the same disease group, differences between different menstrual cycles were also observed. Finally, 50 possible biomarkers including were screened and predicted based on the PICRUSt.
Conclusions
The vaginal microbiome differs between patients with adenomyosis and healthy individuals during difference menstrual periods especially during the luteal phase. These findings facilitate the search for specific biological markers within a limited range and provide a more accurate, objective, and individualized diagnostic and therapeutic evaluation method for patients with adenomyosis than is currently available.
Differences in severity of chemotherapy-induced nausea and vomiting between neoadjuvant and adjuvant chemotherapy in patients with breast cancer: Analysis of data from two prospective observational studies
Authors: Son Kyung-Lak , Shin Joon Sung , Lee Sun Hyung , Lee Sungwon , Jung Saim , Kim Won-Hyoung , Jung Dooyoung , Kim Tae-Yong , Im Seock-Ah , Lee Kyung-Hun , Hahm Bong-Jin , Yeom Chan-Woo 
Published: September 2023

Abstract

We assessed the differences in chemotherapy-induced nausea and vomiting (CINV) severity in patients with breast cancer, receiving neoadjuvant chemotherapy (NAC) and adjuvant chemotherapy (AC). CINV in patients receiving anthracycline-based NAC (n = 203) and AC (n = 174) was assessed before chemotherapy (C0), after the first and fourth chemotherapy, using a 10-point Likert scale. Group-time interaction term used to assess if group effect on changes in CIN (cCIN) and CIV (cCIV) from C0 to follow-up are similar over time. If not significant, group effect was evaluated in model without interaction term. Subgroup analysis were performed a based on age 50. The effect of group by follow-up period was not significant. Adjuvant chemotherapy was associated with a significantly higher change in severity of cCIN than neoadjuvant chemotherapy in the group effect (estimated mean difference = 0.888, p = 0.013). The two groups differed significantly between the severity of cCIN in those aged ≤ 50 years (estimated mean = 1.151, p = 0.009) but not in those aged > 50 years. NAC for breast cancer patients shows less severe CIN than AC, but not in middle-aged and above. Clinicians should recognize that CIN severity may vary across chemotherapy settings and manage accordingly.
Joinpoint Regression Analysis of Recent Trends In Desmoplastic Malignant Melanoma Incidence And Mortality: 15-Year Multicentre Retrospective Study
Authors: Yu Hai , Zhu Linna , Zhang Jinrong , Zheng Suzheng , Ming Wai-kit , IP CHEONG CHEONG , Jiang Yuzhen , Chen Wenhui , Wu Shi , Lyu Jun , Deng Liehua 
Published: September 2023

Abstract

Background
Desmoplastic Malignant Melanoma (DMM) detection and mortality rates have significantly increased in recent years.There are currently no comprehensive epidemiological investigations of DMM incidence and mortality trends.This study aims to explain changes in DMM incidence and mortality during a 15-year term (2005–2019).
Methods
Data on DMM patients was sourced from the Surveillance, Epidemiology, and End Results (SEER) database. Both incidence and incidence-based mortality rates were directly extracted from the SEER database. Joinpoint regression was used to analyze and calculate the average annual percent change (AAPC) and its 95% confidence interval (CI).
Results
Between 2005 and 2019, 3,384 DMM cases were identified, boasting an age-adjusted incidence rate of 3.63% (95% CI: 3.51–3.76) and an incidence-based mortality rate of 1.65% (95% CI: 1.57–1.74). Of these, 2,353 were males (69.53%) and 1,031 were females (30.47%). There were 1894 patients (55.97%) who were over 70 years old. Predominantly, DMM lesions manifested in exposed areas: Limbs (955, 28.22%), Face (906, 26.77%), and Scalp and Neck (865, 25.56%). The incidence of DMM increased significantly at a rate of APC = 0.9% during 2005–2019, while the incidence-based mortality showed a significant upward trend (APC = 7%) during 2005–2012, and slowly increasing trend (APC = 0.6%) during 2012–2019. In contrast to the modest upward trajectory in female incidence and mortality, male incidence initially surged, later declining, while male mortality peaked and stabilized post-2012. The primary sites for incidence and mortality were consistently exposed areas: Face, Scalp and Neck, and Limbs.
Conclusions
In recent years, the incidence and incidence-based mortality of DMM have significantly increased. Each subgroup analysis has different trends, and these trends can provide better support for our exploration of DMM.
Structure and Protein-ligand Binding Studies of Pheromone Binding Protein-like Sol g 2.1 Protein from Solenopsis geminata Fire Ant Venom
Authors: Nonkhwao Siriporn , Plettner Erika , Daduang Sakda 
Published: September 2023

Abstract

Sol g 2 is the major protein in Solenopsis geminata fire ant venom. It shares the highest sequence identity with Sol i 2 (S. invicta), and shares high structural homology with LmaPBP (pheromone binding protein (PBP) from the cockroach, Leucophaea maderae). We examined the specific Sol g 2 protein ligands from the fire ant venom. The results revealed that the protein naturally formed complexes with hydrocarbons, including decane undecane, dodecane, and tridecane, in aqueous venom solutions. We found that decane has a higher affinity binding with the recombinant Sol g 2.1 protein (rSol g 2.1) than other specific ligands. Surprisingly, the mixture of the alkanes showed higher binding affinity with rSol g 2.1 protein than any single one, a positive blend effect. The ligands were examined further by molecular docking simulations, which showed allosteric binding sites in the Sol g 2.1 protein model. We also performed a trail-following bioassay and found that rSol g 2.1 and the mixture of hydrocarbons elicited S. geminata worker ants to follow the trails for a longer time and distance than only a mixture of hydrocarbons, which suggests that Sol g 2.1 protein may delay the evaporation of the hydrocarbons. Interestingly, the fully reconstituted venom, which contained piperidine alkaloids and trail pheromones, has the highest attraction to the ants. Therefore, the mixture of hydrocarbons and the piperidines have a synergistic effect on the trail-following of the ants when both were added to the protein.
Transcriptome analysis reveal alterations in hepatic glycan biosynthesis and metabolism of grass carp (Ctenopharyngodon idellus) fed with broad beans
Authors: Hao Meilin , Zhu Junhong , Xie Yuxiao , Cheng Wenjie , Yi Lanlan , Zhao Sumei 
Published: September 2023

Abstract
The meat of grass carp (Ctenopharyngodon idellus) fed broad beans is crispy, called crisp grass carp. In order to better understand the changes mechanistic in liver tissue of crisp grass carp, gene expression profiles and pathways of liver tissues were performed by using RNA-seq. As a result of the transcriptome analysis, the total number of reads produced for each liver sample ranged from 35,914,404 to 42,460,834. A total of 2519 differentially expressed genes (DEGs) were identified. Among them, 1156 genes were up-regulated and 1363 genes were down-regulated. Gene Ontology (GO) annotations indicated that DEGs were mainly enriched in biological processes of ribosome and structural constituent of ribosome. Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis revealed that DEGs were mainly enriched in metabolism of energy, amino acid, carbohydrate, and lipid acid, and the genes in these pathways were up-regulated. The protein-protein interaction (PPI) network with 260 nodes and 249 edges was constructed and 3 modules were extracted from the entire network. ITML, STT3B, SEL1L, UGGT1, MLEC, IL1B, ALG5, KRTCAP2, NFKB2, IRAK3 genes were the top 10 hub genes with the closest connections to other nodes. In summary, this study identified several candidate genes and focused on glycan biosynthesis and metabolism pathways, providing a reference for further investigation into the mechanism of liver metabolism in grass carp fed with broad beans.
wildNeRF: Novel view synthesis of in-the-wild dynamic scenes using sparse monocular data
Authors: Khalid Shuja , Rudzicz Frank 
Published: September 2023

Abstract

We present a novel neural radiance model that is trainable in a self-supervised manner for novel-view synthesis of dynamic unstructured scenes. Our end-to-end trainable algorithm learns highly complex, real-world static scenes within seconds and dynamic scenes with both rigid and non-rigid motion within minutes. By differentiating between static and motion-centric pixels, we create high-quality representations from a sparse set of images. We perform extensive qualitative and quantitative evaluation on existing benchmarks and set the state-of-the-art on performance measures on the challenging NVIDIA Dynamic Scenes Dataset.
Additionally, we evaluate our model performance on challenging real-world datasets such as Cholec80 and SurgicalActions160.
Improved neurological outcome of perampanel for hypoxic-ischemic encephalopathy in patients after out-of- hospital cardiac arrest resuscitation
Authors: Nakamichi Yoshimi , Ichibayashi Ryou , Watanabe Masayuki , Suzuki Ginga , Serizawa Hibiki , Yamamoto Saki , Masuyama Yuka , Honda Mitsuru 
Published: September 2023

Abstract
Purpose
Although the resuscitation rate for patients with out-of-hospital cardiac arrest (OHCA) in Japan is increasing due to the widespread use of automated external defibrillators (AEDs), the proportion of patients who can return to society remains low at approximately 7%. Many patients have poor neurological outcomes and cannot return to society because of post-resuscitation hypoxic-ischemic encephalopathy. While the resumption of cardiac rhythm is important for patients with OHCA, improving neurological outcomes and returning to society are also important. However, temperature management therapy has been introduced to improve neurological outcomes. This study investigated whether perampanel, an antiepileptic drug that provides neurological protection against stroke and head injury, could improve neurological outcomes in patients resuscitated after OHCA.
Methods
The participants included 33 patients with OHCA admitted to our hospital from January 2021 to June 2022 and 33 patients admitted before that time. Perampanel was administered to the patients in the intervention group immediately after resuscitation. We defined a Cerebral Performance Category (CPC) score of 1.2 as a good neurological outcome.
Results
There was no significant difference in neurological outcomes at intensive care unit (ICU) discharge between the intervention and non-intervention groups; however, neurological outcomes at hospital discharge were significantly better in the intervention group (P = 0.01).
Conclusion
The α-amino-3-hydroxyl-5-methyl-4-isoxazole-propionate (AMPA) receptor inhibitory and neuronal protective effects of perampanel may have inhibited the progression of hypoxic-ischemic encephalopathy, which develops after the resumption of cardiac rhythm, and suppressed neuronal damage. Early administration of perampanel after resuscitation of patients with OHCA may improve neurological outcomes.
LGEQRE: Learning Guided Enumerative Synthesis for Query Reverse Engineering
Authors: Wang Huixian , Dou Quansheng , Tang Huanling , Pan Hao , Zhang Shun 
Published: September 2023

Abstract
To address the problem of users' lack of SQL query writing skills, Query Reverse Engineering (QRE) was proposed, where the goal of QRE is to generate a SQL statement based on a given database and query output table. SQUARES is one of the state-of-the-art models in the field, which enumerates constraint-compliant programs using a solver-based enumerator, and since the Solver randomly enumerates candidate programs, SQUARES synthesis is not very efficient. In this paper, we propose LGEQRE based on SQUARES, a learning-based approach to guide the enumeration of candidate programs. LGEQRE predicts the operators be required by neural network, sorts and deletes operators based on the prediction, and uses an Optimizer-based enumerator to enumerate programs according to the predicted probability of the operators. Under the same experimental conditions, the experimental results showed that LGEQRE increased the synthesis rate from 80% to 89.1% and reduced the average synthesis time from 251s to 117s compared to SQUARES.
Postpartum Antiphospholipid Antibody Syndrome Secondary to Sjögren's Syndrome Accompanied by Cerebral Venous Sinus Thrombosis and Multicompartmental Intracerebral Haemorrhage: A Case Report and Literature Review
Authors: Ma Dan , Han Jianhong , Li Chunyan , Zhang Jie , yuan yong , Bao Tianhao 
Published: September 2023

Abstract
Background: Cerebral venous sinus thrombosis (CVST) is a rare cerebrovascular disease that can be caused by various factors, including postpartum, pregnancy, autoimmune disorders, infections, and coagulation abnormalities. Sjögren's syndrome (SS) is an inflammatory autoimmune disease characterized by lymphocytic infiltration of exocrine glands.We report a case of a 27-year-old female diagnosed with postpartum antiphospholipid antibody syndrome (APS) secondary to SS and accompanied byCVST, subdural haematoma (SDH), intracerebral haemorrhage (ICH), and subarachnoid haemorrhage (SAH).
Case presentation: The patient is a 27-year-old female who was diagnosed with APS secondary to SS during pregnancy.She developed headaches 7 days postpartum and experienced seizures along with left-sided limb paralysis on the 9th day.Computed tomography (CT)and magnetic resonance imaging (MRI) scans indicated SDH,ICH and SAH.Magnetic resonance venography (MRV) suggested the formation of venous sinus thrombosis.The patient showed significant improvement after receiving anticoagulants, steroids, and immunosuppressive treatment.
Conclusions: The occurrence of APS secondary to SS and simultaneous CVST, along with SAH, ICH, and SDH, is exceedingly rare.However, in patients previously diagnosed with APS who experience neurological deficits, the possibility of CVST should be considered, and MRV examination should be promptly completed.The simultaneous occurrence of intracranial haemorrhage and thrombosis made the treatment of this patient complex. We summarized the pathogenesis, clinical features, treatment, and prognosis of this patient and then performed a literature review to provide clinical practitioners with a reference for the diagnosis and treatment of this disease.
Persistent DWI-PWI Mismatch Prediction: A Preliminary Study with Two-dimensional Texture Analysis Based on ADC maps
Authors: Long Miaomiao , Shrestha Apurwa , wu Yalin , Liu Lihua , Ma Xifeng , Yin Jianzhong 
Published: September 2023

Abstract
MR DWI-PWI mismatch has been established as a reliable biomarker for ischemic penumbra in acute ischemic stroke(AIS) patients. Texture analysis has demonstrated its ability to predict DWI-PWI mismatch of AIS within 24 hours. The current study was to investigate whether texture analysis of diffusion ADC maps can predict the existence of the DWI-PWI mismatch in the delayed imaging AIS patients. MR diffusion ADC maps of 82 patients with acute cerebral infarction beyond 24 hours from ischemic stroke onset were analyzed (41 with DWI-PWI mismatch and 41 without DWI-PWI mismatch). 2D Texture features were extracted to develop models for predicting the existence of DWI-PWI mismatch. 30 texture features were selected with the texture analysis software, and reduced to 10 with Lasso method and 3 with stepwise logistic regression. An equation was developed with these three features with acceptable diagnostic performance (sensitivity: 80.5%(65.1%~91.2%, specificity: 75.6%(59.7%~ 87.6%), PPV: 76.7%(61.4%~88.2%), NPV 79.5%( 63.5%~90.7%), AUC: 0.859(0.777~0.941), misclassification rate: 21.95%). During the leave-one-out validation, the equation is relatively stable, with 4 case changed the predicted status. 2D texture analysis of diffusion ADC maps can be used to predict the existence of DWI-PWI mismatch in the delayed imaging population. The logistic regression-based equation is a promising predicting method.
A Trinomial Difference Autoregressive Model for the Bounded Z-valued time series
Authors: Chen Huaping 
Published: September 2023

Abstract
This paper considers the autoregressive modeling problem of the bounded $\mathbb{Z}$-valued time series of counts,but little literature discusses this question.To fill this gap, we propose the trinomial difference bounded $\mathbb{Z}$-valued autoregressive (TDBZAR) model for bounded time series based on the trinomial difference thinning operator,and give some stochastic properties.An attractive merit of the TDBZAR model is thatthe incorporated trinomial difference thinning operatornot only makesthe conditional expectation take a linear form,but also makes its 1-step transition probability can be written as the convolution of two independent trinomial difference distribution,which makethe conditional least squares (CLS) estimateand conditional maximum likelihood (CML) estimate more wieldy and easy.Second, we discuss the two-step CLS estimate and CML estimate,establish their asymptotic properties of the estimators.Third, we apply the proposed model to a real data set.\\
Comprehensive identification of potentially functional genes for transposon mobility in the C. elegans genome
Authors: Arata Yukinobu , Jurica Peter , Parrish Nicholas , Sako Yasushi 
Published: September 2023

Abstract
Transposons are mobile DNA elements that encode genes for their own mobility. Whereas transposon copies accumulate on the genome during evolution, many lose their mobile activity due to mutations. Here, we focus on transposon-encoded genes that are directly involved in the replication, excision, and integration of transposon DNA, which we refer to as “transposon-mobility genes”, in the Caenorhabditis elegans genome. Among the 62,773 copies of retro- and DNA transposons in the latest assembly of the C. elegans genome (VC2010), we found that the complete open reading frame structure was conserved in 290 transposon-mobility genes. Critical amino acids at the catalytic core were conserved in only 145 of these 290 genes. Thus, in contrast to the huge number of transposon copies in the genome, only a limited number of transposons are autonomously mobile. We conclude that the comprehensive identification of potentially functional transposon-mobility genes in all transposon orders of a single species can provide a basis of molecular analysis for revealing the developmental, aging, and evolutionary roles of transposons.
The metabolic subtypes of gastric cancer reveal treatment preferences
Authors: Zhou Qi , Yuan Yiwu , Yue Zhenqi , Lu Hao , Liu Zhiyang , Sheng Jie , Xin Lin 
Published: September 2023

Abstract
Background
Understanding the details of gastric cancer metabolic reprogramming is crucial for improving stratified therapy.
Methods
By utilizing multi-omics data, we investigated metabolic dysregulation in gastric cancer and identified three distinct metabolic subtypes.
Results
These subtypes exhibited different prognoses, molecular subtype distributions, and genomic alterations. The metabolic subtypes displayed varying vulnerabilities to chemotherapy, with the C3 subtype being associated with chemotherapy resistance. The C2 subtype showed a preference for immune checkpoint therapy, while C3 subtype may have a better response to targeted natural killer (NK) cell receptor KLRD1 therapy. We discovered and confirmed the pro-cancer role of secreted SPP1 from macrophages through the SPP1/CD44 axis acting on cancer cells.
Conclusions
Collectively, we have discovered that patients with different metabolic subtypes exhibit treatment vulnerabilities to chemotherapy and various immunotherapies.
Implementing the Earned Income Tax Credit: shall governments design an employee or an employer-based system?
Authors: Strawczynski Michel 
Published: September 2023

Abstract
In this paper I use a labor market equilibrium model and a social welfare analysis for comparing between an employee-based EITC and an employer-based system. Since the labor supply of the low-wage workers is relatively rigid, firms enjoy market power that might be used in detriment of the policy-maker's goals when implementing an EITC system. While the employee-based system avoids coordination among firms, and thus reduces their market power, an employer-based system allows for automatic take-up at the initial stage of the program's implementation, which constitutes an advantage. These pros and cons in both systems shall be weighted one against the other; for that purpose, I run simulations using empirically plausible parameters taken from data of countries that implemented an EITC. The simulations show that in terms of social welfare the employee-based EITC tends to dominate the employer-based system.
JEL Numbers– H21, H24 and I38.
Dynamic Modelling of Risks Related to Central Bank Digital Currencies: An Analysis of Uncertainties for Banking System Stability
Authors: Brice M’bakob Gilles , Tchounga Anatole 
Published: September 2023

Abstract

This study aims to design a dynamic model to assess the potential impact of CBDC issuance on banking system stability. The study results show that overconfidence of economic agents towards CBDCs can drastically reduce bank reserves, thereby limiting the lending capacity of banks and creating liquidity problems. Similarly, increasing reserve requirements in fiat currency for each unit of CBDC issued can constrain bank reserves and restrict loans and deposits. Additionally, a rise in interest rates on CBDC-related loans can discourage borrowers, thereby reducing loan demand and affecting banking activity. An increase in interest rates leads to a decrease in the quantity of CBDC in circulation, an increase in bank reserves and deposits in CBDC, and a decrease in bank loans. Monitoring the level of confidence of economic agents towards CBDCs is crucial to avoid excessive speculation.