bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrated analysis of LRP2 mutation to immunotherapy efficacy in pan-cancer cohort
Authors: Li Chunbo , Ding Yan , Zhang Xuyin , Hua Keqin 
Published: April 2022

Abstract
Background: Immunetherapy has emerged as a novel therapy, while many patients are refractory. Although, several biomarkers have been identifed as predictive biomarkers for immunotherapy, such as umor specific genes, PD-1/PD-L1, tumor mutation burn (TMB), and microsatellite instability (MSI), results remain unsatsficatiory. We investigated the characteristics of low-density lipoprotein receptor-related protein 2 (LRP2) mutation in the cancer genome atlas (TCGA) and explored the potential association of LRP2 mutation with immunotherapy. Methods: Characteristic of LRP2 mutation in 33 cancer types was analyzed using large-scale public data. The association of LRP2 mutation with immune cell infiltration and immunotherapy efficacy was evaluated. Finally, a LPR2 mutation signature (LMS) was developed and validated by TCGA-UCEC and pan-cancer cohorts. Furthermore, we demonstrated the predictive power of LMS score in independent immunotherapy cohorts by perfoming a meta-analysis. Results: Our results revealed that patients with LRP2 mutant had higher TMB and MSI compared with patients without LRP2 mutation. Meanwhile, LRP2 mutation was associated with higher infiltration level of immune cells and higher expression of immune-related genes and signaling pathways. Patients with LRP2 mutation presented long overall survival (OS) after immunotherapy. In endothelial cancer (EC), patients with LRP2 mutation belonged to the POLE and MSI-H type of EC molecular types, with a better prognosis. Finally, we developed a LRP2 mutation signature (LMS), that was significantly associated with prognosis in patients receiving immunotherapy. Conclusion: These results indicated that LRP2 mutation can serve as a biomarker for the personalization of cancer immunotherapy. Importantly, LMS is a potential predicator of patients prognosis after immunotherapy.
Study on the expression of c-Met in gastric cancer and its correlation with blood tumor markers and prognosis
Authors: Zhang Zhengchao , Miao Lele , Wang Song , Zhao Yang , Xie Yongqiang , Yun Heng , Ren Zhijian , Wang Guan , Teng Muzhou , Li Yumin 
Published: April 2022

Abstract
Background: Studies have found that c-Met plays a critical role in the progression of solid tumors. This study aimed to investigate the expression of c-Met in gastric cancer (GC) and its correlation with blood tumor markers and prognosis. In order to provide a new idea and method for targeting c-Met in the treatment of GC.Methods: Ninety-seven patients who underwent GC surgery in our hospital from December 2013 to September 2015 were included in this study. The tissue microchip was constructed by paraffin cutting, including 97 GC points and 83 para-cancer points. Then, it was used for c-Met immunohistochemical staining, followed by immunological H-score. The expression of c-Met was compared with clinicopathological features, blood tumor markers (AFP, CEA, CA199, CA153, CA125, CA50) and 5-year survival. Descriptive statistics, Pearson correlation test, Kaplan-Meyer survival curve and COX regression were used for statistical analysis.Results: The high expression rate of c-Met was 64.95% (63/97) in GC tissues, and 28.92% (24/83) in para-cancer tissues. There were prominent statistical differences in the M-stage and clinicopathological stage between the low and high expression groups (P<0.05), the c-Met high expression group also had a higher M-stage and clinicopathological stage of GC. The correlation test between the c-Met H-score and CA125 was statistically significant (P=0.004), indicating a positive correlation. High c-Met expression correlated with poor overall survival (OS) for 5 years (HR=2.103, P=0.005). After the clinicopathological classification of patients, it was found that the high expression of c-Met in stage Ⅰ-Ⅱ patients was correlative with poor OS for 5 years (HR=2.486, P=0.026), while stage Ⅲ-Ⅳ patients had no statistical significance (P>0.05). Univariate and multivariate COX regression analysis showed that age, clinicopathological stage, c-Met high expression and preoperative serum AFP might be independent risk factors for survival 5 years after surgery.Conclusion: This study found that the high expression of c-Met in GC was associated with poor 5-year OS in GC patients and was an independent risk factor for 5-year survival after GC surgery. The expression of c-Met in GC was positively correlated with preoperative serum CA125.
Preoperative albumin-to-alkaline phosphatase ratio is an independent prognostic factor for postoperative survival after gallbladder carcinoma radical surgery
Authors: Zhang Die , Wan Tian , Xu Jing 
Published: April 2022

Abstract
Purpose: The relationships of the albumin-to-alkaline phosphatase ratio (AAPR) and the results in Gallbladder cancer (GBC) cases undergoing radical surgical process have been rarely discussed. The present work attempted to assess the prognosis implication of AAPR in GBC cases before operation.Methods: We retrospectively selected 202 consecutive GBC cases treated from 2010 to 2017. Through univariate and multivariate studies, elements impacting overall survival (OS) and recurrence-free survival (RFS) were explored.Results: Among the 202 cases, 93 (46%) achieved AAPR<0.4. The middle OS in cases with low AAPR before operation reached 26 months, less than that for high AAPR cases before operation (38 months, P<0.001). Low AAPR before operation displayed relationships to smaller surviving periods in univariate studies (HR, 2.738; 95%CI, 1.256-5.843; P<0.001). According to multivariate study, low AAPR cases achieved a lower OS (HR, 2.247; 95%CI, 1.483-3.404; P=0.028) and RFS (HR, 1.640; 95%CI, 1.037-3.210; P=0.041) than high AAPR cases.Conclusion: AAPR is an independent indicator of poor prognosis in GBC patients after GBC radical surgery.
Iranian Future Healthcare Professionals' knowledge and opinions about rare diseases: cross-sectional study
Authors: Jahanshahi Reza , Nasirzadeh Amirreza , Farzan Mahan , Domaradzki Jan , Jouybari Leila , Sanagoo Akram , Farzan Mahour , Aghazadeh-Habashi Komeil , Faraghe Ahmadreza Fallah , Bagheri Sadegh , Samiee Marziyeh , Ansari Arina , Eskandari Kimia , Namakkoobi Negar , Soltanimoghadam Fatemeh , Mashali Hadi , Yavari Erfan , Bay Saba , Memaripanah Nafiseh , Meftah Elahe , Amanzadeh Saeed , Talati Fatemeh , Bahramzadeh Sasan 
Published: April 2022

Abstract
Background: Rare diseases are a new global health priority, requiring evidence-based estimates of the global prevalence of diseases to inform public policymakers and provide a serious challenge to the healthcare system that must not be ignored. The purpose of this study is to investigate Iranian Future Healthcare Professionals' knowledge and opinions about rare diseases. Results: A total of 6,838 students responded to the questionnaire. Nursing and medical students had the highest participation. Almost 85% of participants rated their knowledge about rare diseases as poor or insufficient. While nearly 70 percent of participants took courses about rare diseases at university. Finally, 72.7% of future healthcare professionals did not feel ready to take care of a patient with a rare disease.Conclusion: The present study has indicated a gap in Iranian medical students’ knowledge on rare diseases. The researchers believe that health science policy makers should make a joint effort to improve knowledge about rare diseases. Including courses with regard to rare diseases would be of benefit to future healthcare professionals.
Reliable Gas-Phase Tautomer Equilibria of Drug-like Molecule Scaffolds and the Issue of Continuum Solvation
Authors: Göller Andreas H. 
Published: April 2022

Abstract
Accurate calculation of relative tautomer energies in different environments is a prerequisite to many parameters of relevance in drug discovery. This work provides a thorough benchmark of the semiempirical methods AM1, PM3 and GFN2-xTB, the force-field OPLS4, Hartree-Fock and HF-3c, the density functionals PBEh-3c, B97-3c, r2SCAN-3c, PBE, PBE0, TPSS, r2SCAN, ω-B97X-V, M06-2X, B3LYP, B2PLYP, and MP2 versus the coupled-cluster gold-standard DLPNO-CCSD(T) with def2-QZVPP basis sets applied. The outperforming method identified is M06-2X, whereas r2SCAN-3c is the best-perfoming method in the set of cost-optimized ones. Application of the identified methods on a challenging subset from the SAMPL2 challenge provides evidence that deviations from experiment is caused by deficiencies of current continuum solvation methods.
Airport Terminal Area Capacity Calculation Based on Supply and Demand Balance of Service Resources
Authors: MOU Qifeng , ZHANG Liming , FANG Ce , LI Mingjie , FENG Xiaolei 
Published: April 2022

Abstract
To effectively predict the hourly capacity of the airport terminal area, i.e., to measure the maximum number of aircraft that can receive air traffic services in a sector simultaneously under the condition that the capacity is known, this study proposes a model to calculate the terminal area capacity based on the perspective of service resources. Firstly, the supply and demand relationship between the terminal area capacity and service resource consumption was analyzed based on the configuration of the terminal area route network, traffic flow characteristics and airspace safety, and security capacity requirements. Secondly, by defining a flight service probability matrix, a demand service time model and a maximum available service time model for the terminal area were developed. Based on the balance between the supply and demand of service resources, a model was constructed to forecast the capacity of the terminal area. Finally, the validity of the model was verified by simulation. The example results indicated that the difference between the limit and correction capacities obtained from the model calculations and the simulation results is lesser than 0.3 vehicles/hour. Both the results are consistent with the actual operation, thus proving the validity and reliability of the calculation model used in this study. It was also found that when the capacity is known, the model can calculate the maximum number of aircraft receiving services simultaneously within the terminal area at peak times. These findings suggest that the proposed model can provide a theoretical basis and reference for terminal area sectoring and traffic alerting.
Geospatial Analysis of Malaria Prevalence among Children Under Five Years in Jigawa State, North West, Nigeria
Authors: Aliyu IShaq Abdulkarim 
Published: April 2022

Abstract

Malaria is one of the leading causes of illness and death in developing countries. Despite growing international concern and efforts to provide effective treatment through the development and improvement of vector control mechanisms, malaria infection continues to remain a leading health problem in Africa, particularly south of the Sahara. At present, however, very few studies have been undertaken that investigate the spatial distribution of malaria cases. This study, therefore, aims to employ geospatial tools to map out areas of high and low malaria prevalence among children under the age of five years. Annual malaria prevalence was computed using confirmed cases from 2014 to 2019 in Jigawa state. Spatial autocorrelation techniques using global Moran’s I and Getis-Ord Gi* statistics were applied. Overall malaria prevalence ranged between 2,743 and 12,916 per 100,000 populations. Results of the overall global Moran’s I indicate a statistically significant degree of positive autocorrelation (I = 0.358122, Z = 3.721018, P = 0.000198) and all the years under study showed clustered patterns. Hotspot analysis was further explored to show the location of clusters. The results of the analysis detected high prevalence clusters in central and north-western parts of the state. The study recommends targeting hotspot areas in the design and implementation of malaria control activities.
CD155 promotes radioresistance and malignancy of esophageal cancer by regulating Hippo-YAP pathway
Authors: Xin Huixian , Liu Yuchen , Chen Pengxiang , Yin Tianwen , Wang Meijie , Liu Tianyu , Wen Zhihua , Cheng Yufeng 
Published: April 2022

Abstract
The expression of CD155 has been observed to increase in various human cancers, but its role in the development of esophageal cancer (EC) is unclear. Radiotherapy is one of the primary therapeutic options for EC. However, radioresistance is still a severe issue in EC treatment. In this study, Oncomine database mining, immunohistochemistry, and survival analysis showed that higher expression of CD155 in patients with EC than in healthy controls. In vitro and in vivo, we found for the first time that irradiation increased the expression of CD155 in EC cells. CD155 knockdown inhibited cell proliferation and migration and tumor formation, and significantly increased radiosensitivity in EC. The in vivo model with high CD155 expression significantly promoted the proliferation and migration of EC cells. Furthermore, increased CD155 expression was associated with poor prognosis in patients with EC. CD155 regulated the Hippo-Yap pathway, influencing cell proliferation and migration. Therefore, CD155 is essential for the proliferation, migration, and radioresistance of EC. CD155 inhibition may be a viable strategy for improving radiation treatment efficacy in individuals with EC.
Evaluation of Modeling Strategies for Seismic Analysis of Confined Masonry Structures
Authors: Borah Bonisha , Kaushik Hemant B , Singhal Vaibhav 
Published: April 2022

Abstract
Numerical models are effective tools for nonlinear seismic analysis required for performance-based design of structures. However, their potential often falls short while simulating the behavior of masonry structures because of their complex anisotropic behavior. The complexity increases further for confined masonry (CM) where, in addition to masonry, RC confining members are constructed around the periphery of masonry walls such that the structure work in unison. Though some modeling schemes have been developed for linear and nonlinear analysis of CM walls, their applicability and accuracy are a matter of contention as they were based on different assumptions and theories. Most design codes do not specify modeling schemes due to limited research, especially considering the highly variable masonry properties. The limited modeling choices, some of which have not been validated sufficiently, pose difficulty for practicing engineers and limit their confidence in adopting them. The present work provides an understanding of the challenges on using different modeling strategies from an engineering practice perspective. Commonly adopted models were first used to simulate previously tested single-story CM wall specimens having different aspect ratios. The comparative assessment showed the efficacy of some schemes, while exhibiting ineffectiveness of others. The applicability of different methods was then assessed by analyzing a three-story CM building. The observed behavior clarified the characteristics and potentialities of different procedures, and provides direction to adopt better approaches for nonlinear analysis of CM walls.
Provision of specialized care in remote rural municipalities in Brazil: challenges for local managers
Authors: Nunes Fabiely Gomes Silva , Santos Adriano Maia , Carneiro Ângela Oliveira , Fausto Márcia Cristina Rodrigues , Cabral Lucas Manoel Silva , Almeida Patty Fidelis 
Published: April 2022

Abstract
This case study analyses the challenges to the provision of Specialized Care (SC) in remote rural municipalities (RRM) in Brazil. Interviews were conducted with managers from two Brazilian states (Piauí and Bahia). The distance between municipalities is a limiting factor for access; in addition, the significant care gaps contribute to different organizational arrangements for the provision and access to SC. In all the RRMs, periodically, physicians offer SC by direct disbursement to users or sale of procedures to managers, compromising municipal and family budgets. Health regions do not meet the demand for SC, accentuating the need for extensive travel. The managers of RRM have additional challenges for the provision of SC regarding the financing, the implementation of cooperative arrangements, the provision of care articulated in networks with a view to comprehensive care in search of solutions to the locoregional specificities.
A mesoscale self-assembly into bulk bassanite via delicate control of water activity to mimic biomineralization
Authors: Wang Chunli , Ma Xuelu , Zhang Zhihao , Xiao Hai , Zeng Xianlai , Zhang Jing , Lin Zhang 
Published: April 2022

Abstract
Metastable bassanite cannot usually be precipitated from aqueous solutions, yet easily taking up water to yield the gypsum. Although biological systems can mineralize this phase to micron sized crystals, a facile fabrication of bulk bassanite in vitro under ambient conditions remains a major challenge. Here, we unprecedentedly fabricated the bulk phase of bassanite by precisely controlling the water limited in the solution with polymer (polyvinyl pyrrolidone), suppressing the transformation into thermodynamically favourable gypsum. A new thermodynamic model of the non-classical crystallization process is described in terms of water-driven colloidal assembly, and molecular dynamics simulation demonstrates the role of water molecules to interact with the polymer ligands to initiate the assembly and growth of bassanite. These findings contribute to a deeper understanding of how the bassanite precipitates in vivo and may save us the procedure of thermally transforming about hundreds of millions of tons of dihydrate per year into hemihydrate
[Invited] Sparse reconstruction for integral Fourier holography using Dictionary Learning method
Authors: Sheridan John T , Kuruguntla Lakshmi , Dodda Vineela Chandra , Wan Min , Elumalai Karthikeyan , Chinnadurai Sunil , Muniraj Inbarasan 
Published: April 2022

Abstract
A simplified (i.e., single shot) method is demonstrated to generate a Fourier hologram from multiple two-dimensional (2D) perspective images (PIs) under low light level imaging conditions. It was shown that the orthographic projection images (OPIs) can be synthesized using PIs and then, following incorporation of corresponding phase values, a digital hologram can be generated. In this work, a fast dictionary learning (DL) technique, known as Sequential Generalised K-means (SGK) algorithm, is used to perform Integral Fourier hologram reconstruction from fewer samples. The SGK method transforms the generated Fourier hologram into its sparse form, which represented it with a linear combination of some basis functions, also known as atoms. These atoms are arranged in the form of a matrix called a dictionary. In this work, the dictionary is updated using an arithmetic average method while the Orthogonal Matching Pursuit algorithm is opted to update the sparse coefficients. It is shown that the proposed DL method provides good hologram quality, (in terms of peak signal-to-noise ratio) even for cases of ~ 90% sparsity.
Effect of ZYP on in vitro fertilization-embryo transfer outcomes in DOR
Authors: Li Xiufang , Wang Zhongqing , Xu Haiyan , Liu Hong , Xu Jin , Li Yuanmei , Lian Fang , Sheng Yan 
Published: April 2022

Abstract
Background: Zishen Yutai Pill (ZYP), a traditional Chinese patent medicine, is often used for the prevention of recurrent miscarriage and threatened abortion. However, ZYP’s beneficial role in embryo quality and pregnancy outcomes are unclear. At the same time, Bone morphogenetic protein 15 (BMP15) and Growth differentiation factor 9 (GDF9) play key roles in folliculogenesis. The expression of BMP15 and GDF9 is declined accompany with poorer oocyte quality in poor ovarian responders.The present prospective study attempted to explore ZYP’s role in oocyte quantity,embryos quality, pregnancy outcomes and the expression of the BMP15 and GDF9 genes in follicle fluid (FF)in patients in patients with diminished ovarian reserve (DOR) receiving in vitro fertilisation-embryo transfer (IVF-ET).Methods: The present prospective randomised controlled study was conducted in 120 patients with DOR who received the treatment using different protocols. The treatment group (group A) comprising 60 women received ZYP from the mid-luteal phase in the former cycle for nearly 20 days by using the GnRH antagonist protocol, whereas the control group (group B) comprising 60 women received the same protocol without ZYP. The number of oocyte received and high-quality blastocysts,and pregnancy results were contrasted between groups. Pregnancy outcomes included the clinical pregnancy rate, embryo implantation rate, multiple pregnancy rate, ectopic pregnancy rate, early abortion rate,ongoing pregnancy rate,live birth rate and other pregnancy complications.FF was collected after oocyte retrieval. Expression of the BMP15 and GDF9 in the FF was determined with enzymelinked immunosorbent assay (ELISA).Results: The number of gathered oocytes and high-quality blastocysts was obviously greater in group A compared with that of group B (P < 0.05). These two groups shared a similar clinical pregnancy rate (both P > 0.05). The expression of BMP15 and GDF9 in the FF differed significantly among the two groups (P < 0.05). Conclusion: ZYP significantly influences the acquisition of prominent follicles, resulting in high-quality embryos. Meanwhile,ZYP can enhance the expression of BMP15 and GDF9 in the FF. Therefore, ZYP application may significantly promote ovarian response and improve embryos' quality among patients with DOR by upregulating the expression of BMP15 and GDP9 .Trial registration number: Chinese Clinical Trial Registry (ChiCTR2100048441)
Acoustic emission induced by sand liquefaction during vibration loading
Authors: Frid Vladimir , Shulov Semen 
Published: April 2022

Abstract
The article deals with the study of poorly graded sand samples of different grain content subjected to liquefaction. Eleven parameters of acoustic emission (AE) were studied during the process of sand liquefaction. The research results show the V-shaped behavior of the AE parameters that correspond to the three-stage sand behavior associated with the changes in its stress state as follows: the behavior of AE in phase A is due to microfractures/displacements between sand grains caused by an increase in pore pressure before the liquefaction point. Phase B (the stage of AE silence just before the liquefaction point) reflects the equality between pore pressure and cell pressure. Phase C (the stage of increase in AE parameters’ values) is explained by intense friction between sand grains during their movement caused by liquefaction. Despite the obvious signs of the V-shaped behavior of the AE excitation relative to the liquefaction point, changes in the AE parameters depend on the composition of the sand.‎ The results show that the change in the sand composition from the poorly graded dune sand to "extremely poorly graded sand" significantly increases the time for the creation of the liquefaction state while the larger the grain size, the longer the time needed to reach the liquefaction state. The last finding is explained by the increase in soil hydraulic conductivity, which complicates the conditions for the increase in pore pressure and hence makes longer the time till the liquefaction state is reached.