bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic nomogram for resectable gastric cancer after preoperative chemotherapy to assist in decision-making for adjuvant chemotherapy: a retrospective study combined with external validation
Authors: Zhou Shengzhu , Lu Chang 
Published: March 2023

Abstract
Background
Neoadjuvant chemotherapy combined with radical gastrectomy is the standard treatment for resectable gastric cancer, but whether these patients can benefit from adjuvant chemotherapy remains unclear.
Methods
A total of 732 patients with initially diagnosed non-metastatic resectable gastric cancer between 2004 and 2016 were screened using the Surveillance, Epidemiology, and Results database of the National Cancer Institute of the United States and retrospectively analyzed. Among them, 366 patients received postoperative chemotherapy and 506 patients did not. The propensity score matching was used to balance the two groups of confounding factors, the Kaplan–Meier method was used for survival analysis, and the logrank test was used to compare the differences between the survival curves. The Cox proportional hazards regression model was used to screen independent prognostic factors and establish a nomogram survival prediction model. The patients were divided into high-, moderate-, and low-risk groups according to the overall survival prediction score generated by X-tile software based on the nomogram.
Results
Multivariate analysis showed that the independent prognostic factors of gastric cancer in the group not receiving chemotherapy were history, ypT stage, ypN stage, and examined lymph node count, which were included in the nomogram prediction model. The C-index for the model was 0.727 (95% confidence interval, 0.65056–0.80344). The patients were divided into three different risk level groups based on the nomogram prediction score. Low- and moderate-risk patients did not benefit from adjuvant chemotherapy, while high-risk patients did.
Conclusion
The nomogram model in the present study can effectively evaluate the prognosis of patients with resectable gastric cancer. In addition, postoperative chemotherapy can be recommended for high-risk patients, but not for low-risk patients.
CATANIC: Automatic generation model of image captions based on multiple attention mechanism
Authors: Zhang Tingting , Zhang Tao , Zhuo Yanhong , Ma Feng 
Published: March 2023

Abstract
As a cross-field of computer vision and natural language processing, image caption generation has been a widely concerned researched topic. However, it is challenging because the automatically generated captioning needs to conform to the image content and language logic. In this paper, we propose a novel image caption generation model based on the DenseNet169 pre-training network and the modified Transformer model, which follows an encoding-decoding architecture. First, we use the DenseNet169 network as the encoder to extract the initial features of the image, and then introduce the “Attention on Attention” module between the encoder and the decoder to correct the initial features of the picture and filter out the attention results that do not match the picture content. At the same time, we introduce the “Attention on Attention” module into the internal decoder of the Transformer model, which strengthens the correlation between the image feature and textual descriptions, and applies the modified Transformer model as a decoder to transform the modified image feature vectors into textual descriptions. Experimental results show that our model is not only able to generate captions that match the content of the pictures as well as the linguistic logic, but also has fewer training parameters and requires less training time cost than a number of different image captioning models with pre-trained convolutional networks as encoders.
Relationship between cancer stem cell-related SNPs and survival outcomes in patients with primary lung cancer
Authors: Xu Xinying , Liu Yuhang , Hu Huiyi , Wang Jinshen , Cai Yuxin , Xie Jun , Kang Mingqiang , He Fei 
Published: March 2023

Abstract
Background: Stem cells may be the source of cancer-causing mutant cells and are closely related to the prognosis of cancer. Our study aim to investigate the association between single nucleotide polymorphisms of cancer stem cell related genes and prognosis of lung cancer patients.
Methods: Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS) was used to genotype SNPs loci. Log-rank test was used to analyze and compare the difference of total survival time among different demographic data, clinical data and genotypes. Cox regression model was used to analyze the correlation between survival time and quality of life of lung cancer under codominant, dominant, recessive and additive genetic models. Test levelα=0.05.
Results: Stratified analysis showed that rs3740535 had recessive AA genotype and additive GG genotype. Rs3130932 Dominant GT+GG genotype, additive TT genotype; Rs13409 additive TT genotype; Rs6815391 recessive CC genotype and additional TT genotype were associated with increased risk of lung cancer death. Rs3130932 recessive GG genotype was associated with reduced risk of lung cancer death.
Conclusion: Rs3130932, rs13409 and rs6815391 are associated with the prognosis of lung cancer patients, and can affect the prognostic survival time of lung cancer patients.
Exploring the common pathogenesis of calcific aortic valve disease and atherosclerotic cardiovascular disease through bioinformatics analysis
Authors: Chen Wentao , Qiu Xiaohan , Wang Chunlin , Chen Wenqiang 
Published: March 2023

Abstract
Background
There are many similarities in the pathogenesis of calcified aortic valve disease (CAVD) and atherosclerotic cardiovascular disease (ASCVD). In this study, we aim to find potential key genes and pathways connected with both diseases, using bioinformatics approaches, we hope to search for some new targets to treat the two diseases.
Methods
We download gene expression profiles of CAVD (GSE12644, GSE51472) and ASCVD(GSE100927) from the Gene Expression Omnibus (GEO) database. After identifying the common differentially expressed genes (co-DEGs) for CAVD and ASCVD, we perform enrichment analysis of these co-DEGs and construct a PPI network. Subsequently, the hub genes were screened, and we validated the hub genes in other datasets. Finally, we validated the diagnostic value of these genes. Besides, we also performed an immune infiltration analysis.
Results
We eventually identified 55 co-DEGs from the two disease datasets which will be used for subsequent analysis. Enrichment analysis of these common genes showed that both chemokines and cytokines play an important role in CAVD and ASCVD. By using Cytohubba and MCODE plug-ins, we identified 14 hub genes, and after validation in other datasets, "CCR1", "TREM1", "MMP9", "CCL5", "TYROBP", "LY86", "LAPTM5" were selected as the final hub genes for this study. These 7 hub genes have high value in the diagnosis of CAVD and ASCVD. In addition, immune infiltration analysis also revealed dysregulation of immune cells in both CAVD and ASCVD.
Conclusions
Our study found common key genes of CAVD and ASCVD, which may be closely related to the pathogenesis of the two diseases. Our study identified key genes common to CAVD and ASCVD, which may be closely related to the occurrence and development of both diseases
Evaluating reduced bone bridge formation through a modified rat epiphyseal plate injury model
Authors: Mu Ying , Wang Wei , Wang Enbo , Yuan Xiangnan , Yao Peng , LI Jianjun 
Published: March 2023

Abstract
Approximately, one-third of all pediatric fractures involve the metaphyseal region, causing damage to the growth plate (also known as the epiphyseal plate), leading to unwanted bone repair tissue through the growth plate, known as a bone bridge (or bony bar). In some cases, the bony bar affects the longitudinal growth of long bones, resulting in limb shortening and angulation deformity and affecting children's physical and mental health. In clinical practice, the primary methods used to prevent the formation of bone bridges are fat interposition, anatomic reduction, and appropriate fixation. Once a bone bridge is formed, resection is the main treatment, but its formation usually takes one to two months, and limb shortening and angulation deformity usually take longer or even years. Therefore, prevention has become the focus of clinical and basic research. In this study, a modified rat central growth plate drilling injury model of the proximal tibia was established based on the original research using a silicone gel membrane to seal the holes. The modified model was provided for the study of reducing bone bridge formation. The hole's volume was evaluated using intraoperative and postoperative imaging examinations to determine the maximum volume of drug administration. Prevention of bone bridge formation was achieved using noninvasive medication; its effect was verified using various methods, providing a new in vivo animal experiment for the prevention and treatment of bone bridge formation after epiphyseal plate injury to guide clinical practice.
A note on the invariantsa of L-functions
Authors: Kaczorowski Jerzy , Perelli Alberto 
Published: March 2023

Abstract

We explain the exact meaning of a statement we made in a previous paper on invariants, namely that a complex-valued function of the data of the functional equation of an L-function is an invariant if and only if it is stable under the multiplication and factorial formulae. To this end, we show that every invariant has a so-called rational extension, having some desired invariance properties. The existence of such an extension, which enables to express formally the above heuristic concept, is not obvious and its construction is the main novelty of the paper.
Mathematics Subject Classification (2010): 11M41
The role of centralised project management approach on the implementation of large-scale Electronic Health Record systems: A Mixed-methods study
Authors: Alzghaibi Haitham , Hutchings Hayley A 
Published: March 2023

Abstract
Background: In the last three decades, the Electronic Health Records Systems (EHRS) become on the top priorities of policymakers globally. Nowadays, EHRS reform is fast becoming a priority in developed countries. The introduction of EHRS in Saudi healthcare organisations is considered one of the highest priorities of the policymakers. Saudi Arabian e-health strategy pays reasonable attention to the EHRS implementation project. According to the Saudi vision 2030 E-health transformation will be on top if IT projects in the country. However, an estimation of 50% of EHRS implementation have failed. Project leadership and type of project management have been found to be crucial components of effective EHRS implementation
Aim of the study: To evaluate the role of Centralised Project Management (CPM) on the implementation of large-scale EHRS in PHCs in SA.
Methods: A sequential explanatory mixed-methods approach involving a survey and semi-structured qualitative interview methods were utilised.
Results: Thirty-nine (75%) out of 53 policymakers at the Saudi Ministry of Health completed the survey while 14 policymakers were interviewed. Findings from both illustrated that adopting centralised project management approaches to implementation was beneficial in facilitating large-scale EHRs implementation and helped to overcome barriers that may have otherwise led to the failure of the project. Electronic Health Record System interoperability and software selection were the factors that centralised project management influenced most positively.
Impact of Right Ventricular Surface Area-to-Volume Ratio on Ventricular Remodeling after Pulmonary Valve Replacement
Authors: Thatte Nikhil , Sleeper Lynn , Lu Minmin , Tang Dalin , Geva Tal 
Published: March 2023

Abstract
Background
Optimal reverse remodeling of the right ventricle (RV), a sentinel goal of pulmonary valve replacement (PVR) in patients with repaired tetralogy of Fallot, is not fully predicted by volume-based pre-PVR parameters. Our objectives were to characterize novel geometric RV parameters in patients receiving PVR and in controls, and to identify associations between these parameters and chamber remodeling post-PVR.
Methods
Secondary analysis was performed on cardiac magnetic resonance (CMR) data from 60 patients enrolled in a randomized trial of PVR with and without surgical RV remodeling. 20 healthy age-matched subjects served as controls. The primary outcome was optimal post-PVR RV remodeling (end-diastolic volume index (EDVi) ≤ 114 ml/m2 and ejection fraction (EF) ≥ 48%) vs. suboptimal remodeling (EDVi ≥ 120 ml/m2 and EF ≤ 45%).
Results
RV geometry was markedly different in PVR patients compared with controls, with lower systolic surface area-to-volume ratio (SAVR) (1.16 ± 0.26 vs.1.44 ± 0.21 cm2/mL, p < 0.001) and lower systolic circumferential curvature (0.87 ± 0.27 vs. 1.07 ± 0.30 cm− 1, p = 0.007) but similar longitudinal curvature. In the PVR cohort, higher systolic SAVR was associated with higher RVEF both pre- and post-PVR (p < 0.001). Among PVR patients, 15 had optimal and 19 had suboptimal remodeling post-PVR. Multivariable modeling showed that among the geometric parameters, higher systolic SAVR (OR 1.68 per 0.1 cm2/mL increase; p = 0.049) and shorter systolic RV long-axis length (OR 0.92 per 0.1 cm increase; p = 0.035) were independently associated with optimal remodeling.
Conclusions
Compared with controls, PVR patients have lower SAVR and lower circumferential but not longitudinal curvature. Higher pre-PVR systolic SAVR is associated with optimal remodeling post-PVR.
ISO/IEC 25010- based Quality evaluation of three mobile applications for reproductive health services in Morocco
Authors: Moumane Karima , Idri Ali , aouni fatiha el 
Published: March 2023

Abstract
Background and objective. Mobile apps for postnatal, contraception, and prenatal care are crucial for enhancing the health of mothers and babies. These apps provide daily monitoring and resources, including reliable infant care, feeding, and maternal recovery information. Contraception apps give individuals the means to make informed family planning decisions and access various contraception methods. Prenatal apps offer expectant mothers educational resources, tracking tools for pregnancy milestones, and a connection to healthcare providers for important check-ups and screenings, all while boosting doctor-patient communication. The apps also often include discussion forums where users can connect and share experiences. By providing access to care, information, and support, these mobile apps significantly ensure mothers and babies receive the necessary resources and care to thrive. This study assesses the software quality (SQ) of three reproductive health monitoring mobile apps using ISO/IEC 25010 and ISO/IEC 25023 standards. The aim of the study is to identify the strengths and weaknesses of each app in terms of SQ, with the goal of providing valuable information for users who are considering using one of these apps. By examining the positive aspects of each app, the study provides insights into what makes them a valuable choice. Similarly, by identifying negative points in terms of quality, the study provides an opportunity to identify areas for improvement, so that the apps can be evaluated and improved over time.
Methods. A three-step analysis process was implemented, of which the initial step involved examining the sub-features and features of the ISO/IEC 25010 standard for Software Product Quality (SPQ). The next step involved developing a checklist that summarizes the effect of the three mobile apps on SPQ. Finally, a calculation was performed to assess the impact of each requirement block on both the SPQ and the Quality in Use model.
Results. The findings indicate the Functional Suitability SPQ characteristic is greatly influenced by the predefined requirements, followed by the Operability, Performance Efficiency, Reliability, and Security SQ characteristics. Therefore, developers, designers, and testers must factor in these requirements throughout the development cycle of health mobile apps to produce a high-quality, patient-centered product with significant added value.
Conclusion. This study generated various requirements for pregnancy monitoring and childcare apps, providing a useful reference for developers in creating high-quality apps also assessing the quality of these kinds of apps. The software development process must consider SPQ characteristics to create a high-quality product with crucial KPIs, leading to better evaluations in app stores and increased user adoption and satisfaction.
Short- and Long-term Outcomes of Robotic-assisted Versus Video-assisted Thoracoscopic Lobectomy in Non-small Cell Lung Cancer Patients Aged 35 Years or Younger: A Real- world Study with Propensity-score Matched Analysis
Authors: Pan Hanbo , Zhang Jiaqi , Tian Yu , Zou Ningyuan , Zhu Hongda , Gu Zenan , Jin Weiqiu , Ning Junwei , Jiang Long , Huang Jia , Luo Qingquan 
Published: March 2023

Abstract
Purpose
This study compared short- and long-term outcomes of robotic-assisted thoracoscopic surgery (RATS) versus video-assisted thoracoscopic surgery (VATS) for lobectomy in young adults aged ≤ 35 years with non-small cell lung cancer (NSCLC), aiming to assess the superiority of RATS over VATS for this special group of patients.
Methods
A total of 1355 consecutive NSCLC cases aged 18–35 years undergoing RATS (n = 105) or VATS (n = 1250) between 2014 and 2021 were retrospectively identified from a prospectively maintained database. Propensity-score matching (PSM) was applied to establish a 1:3 RATS versus VATS ratio. Baseline clinicopathological characteristics, perioperative outcomes, lymph node (LN) assessment, and long-term survival were investigated.
Results
Following PSM, 105 and 315 cases were in the RATS and VATS groups, respectively. RATS led to a shorter postoperative hospital stay than VATS (4 [3–4] vs 4 [3–5] days, p = 0.02). The two groups were comparable in other perioperative outcomes and postoperative complications (all p > 0.05). Moreover, RATS assessed more LNs (9.4 ± 4.4 vs 8.3 ± 3.6, p = 0.03), especially N1 LNs (4.2 ± 3.1 vs 3.5 ± 2.2, p = 0.02), than VATS. By comparison, no difference in 5-year recurrence-free survival (RFS) or overall survival (OS) was found between the two groups (all p > 0.05). Further subgroup analyses also observed similar long-term outcomes between the two groups in terms of age, gender, and smoking history. Finally, Cox’s analyses found that the surgical approach was not independently correlated with RFS or OS.
Conclusion
RATS shortened postoperative hospital stay, assessed more N1 and total LNs, and achieved comparable long-term outcomes to VATS for very young NSCLC patients.
A multi-agent collaborative algorithm for task-oriented dialogue systems
Authors: Sun Jingtao , Kou Jiayin 
Published: March 2023

Abstract
In recent years, reinforcement learning has been successfully applied to dialogue systems. However, in the face of task-oriented dialogue systems where policies are difficult to optimize, states are difficult to track, and tasks are multiple and compound, task-oriented dialogue systems based on reinforcement learning have problems such as poor collaboration, non-unique learning goals, and non-stationarity due to the lack of collaboration among agents. In this paper, we propose a multi-agent cooperative dialogue (MACD) algorithm for task-oriented dialogue systems, in which, for the information interaction between multi-agent in task-oriented dialogue systems, a deep neural network approach is used to integrate the observations of multiple single agents and obtain joint observations to achieve information sharing among single agents, to solve the non-stationarity caused by the lack of joint information of multi-agent. For multi-agent policy learning task-oriented dialogue systems, the multi-agent deep deterministic policy gradient (MADDPG) architecture is applied to the policy selection of task-oriented dialogue systems to solve the problem of lack of joint policy learning of multi-agent in task-oriented dialogue systems; the observation integration of single agents and multi-agent policy learning are effectively combined to solve the problem of poor multi-agent collaboration in task-oriented dialogue systems. By verifying and analyzing reinforcement learning algorithms such as MACD, REINFORCE, DQN, and QMIX in the MultiWOZ corpus, the experimental results show that the algorithms effectively improve the success rate of multi-agent working together to complete dialogue tasks, reduce the number of invalid dialogues in dialogue turns, and outperform common reinforcement learning algorithms in terms of agents' information interaction and joint policy learning in the composite task dialogue scenario.
Prediction of clear cell renal cell carcinoma prognosis based on an immunogenomic landscape analysis
Authors: Wang Chengwei , Zhang Xi , Zhu Shiqing , Hu Bintao , Deng Zhiyao , Feng Huan , Liu Bo , Luan Yang , Liu Zhuo , Wang Shaogang , Liu Jihong , Wang Tao , Wu Yue 
Published: March 2023

Abstract
Immune-cell infiltration and tumor-related immune molecules play a key role in tumorigenesis and progression. It remains to be systematically studied how immune interactions influence clear cell renal cell carcinoma (ccRCC) molecular characteristics and prognosis. A machine learning algorithm was applied to transcriptome data from the Cancer Genome Atlas (TCGA) database in order to determine the immunophenotypic and immunological characteristics of ccRCC patients. These algorithms included single-sample gene set enrichment analyses and cell type identification. By using bioinformatics techniques, we examined the prognostic potential and regulatory networks of immune-related genes (IRGs) involved in ccRCC immune interactions. Fifteen IRGs (CCL7, CHGA, CMA1, CRABP2, IFNE, ISG15, NPR3, PDIA2, PGLYRP2, PLA2G2A, SAA1, TEK, TGFA, TNFSF14, and UCN2) were identified as prognostic IRGs associated with overall survival and were applied to construct a prognostic model. According to further analysis, the area under the receiver operating characteristic curve at one year was 0.927, but at three years was 0.822, and at five years, it was 0.717, indicating good predictive accuracy. It was also discovered that ccRCC immune interactions are governed by molecular regulatory networks. Additionally, we developed a nomogram containing the model and clinical characteristics with high prognostic potential. By systematically examining the sophisticated regulatory mechanisms, molecular characteristics, and prognostic potential of ccRCC immune interactions, we have provided an important framework for understanding ccRCC's molecular mechanisms and identifying new prognostic markers and therapeutic targets for future research.