bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gut microorganisms among Chinese School-Age Children in Two Different Areas in North and South China: A Cross-Sectional Study
Authors: Dong Wendi , Jin Xiaxia , Chen Miaozhen , Mo Shan , Liu Yanhuan 
Published: July 2023

Abstract
To investigate the variations in the structure and function of gut microorganisms school-age children from different regions in north and south of China, 88 school-age children among 3-7 years was recruited and studied by deep metagenomic sequencing in our study. Alpha diversity analysis showed that samples from Southern China school-age children groups (S groups) had lower microbiota diversity than samples from Northern China-school age （N groups）(P < 0.001).The PCoA plots generated by the Bray–Curtis (BC) dissimilarity metrics showed distinct clustering of samples a separation from different groups (P<0.001).Taxonomic analysis illustrated that the abundance of Firmicutes in N groups was significantly higher than that in S groups(p<0.001) and the proteobacteria in the S groups was found to be significantly higher than the N groups(p<0.001).Our study suggest Escherichia-Shigella and Faecalibacterium serve as a promising diagnostic biomarker for Chinese School-age Children in Two Different Areas in North and South China. Furthermore, we observe that the gut microbiota of school age children in China southern and northern have a large difference in EC,KEGG Pathways, gut metabolic modules (GMM) and gut-brain modules(GBM)(p＜0.05).The Region factor is one of the main influencing factors of Gut microorganisms of school age children in China southern and northern.
Community center interior design for disaster victims: A case study on Syrian children
Authors: Idelby Yamen , Alahmar Jamal , Fakosh Oqba 
Published: July 2023

Abstract
Objective:
To develop an evidence-based framework that helps interior design spaces in community centers improve visitors’ psychological and physical health preventively rather than curatively.
Background: Colors, shapes, and materials are among the design elements users perceive and that affect their behavior. Behavior and perception are linked to brainwaves, which are considered constant for most people, despite differences in language and dialect.
Methods:
Experts' questionnaires were used for interior design specialists in Syria about the design style for community centers that suit the societal culture and linked the results with the analysis of drawings for children affected by disasters in Syria. The results were then projected on evidence-based studies supporting the association of cognition and change behavior with brainwaves and design elements.
Results:
There are often disagreements about the design method to be adopted. There is the question of whether to prioritize health or community cultures. In this study, the results combined the two by linking the design elements with brainwaves and requirements of the users in the interior space.
Conclusion:
Drawings can be adapted to the requirements of community members, and they can be linked to brainwaves; this approach thus supports the idea of integrating science and the arts to improve the health of those affected by disasters.
An anterior cervical and mediastinal mass causes “cannot intubate and cannot ventilate” after induction
Authors: Xu Jiaqi Xu , Fan Zhiqiang , zhang Jin , Bai Yiping 
Published: July 2023

Abstract
The perioperative management of a patient with a large anterior mediastinal mass is one of the major challenges for anesthesia care providers. If there is significant tracheal compression or the patient presents with difficult breathing, particularly in supine position, awake fiberscope intubation is usually indicated in order to avoid complete tracheal obstruction after induction. Here, we report a patient with a large anterior cervical and mediastinal mass, along with tracheal compression but no difficult breathing, even in the supine position. After intubation, nearly “cannot intubate and cannot ventilate” was encountered. This case demonstrates that absence of difficult breathing awake in the supine position in a patient with a large anterior mediastinal massdoes not rule out “cannot intubate and cannot ventilate” after induction. Very high inspiratory pressure during mask ventilation is needed to achieve effective mask ventilation.
Cloud Computing Based Trend Analysis of Urbanization and Land Surface Temperature on climate change and socio-economic impacts in Gaborone, Botswana.
Authors: Moyo Boineelo , Schröder Dietrich , Moreri Kealeboga 
Published: July 2023

Abstract

Land use land cover change (LULC) is a critical driver of global change, influencing environmental sustainability. The spatio-temporal changes of LULC have a significant impact on the distribution and intensity of the Land Surface Temperatures (LST), especially in urban areas with reduced vegetation cover. Understanding these effects is crucial for assessing progress towards United Nations Sustainable Development Goals (SDGs) 11 and 13, which aim to improve urban environments and address climate change. However, little is known about the impacts of LULC changes on LST in Botswana. Therefore, this study investigated the impacts of LULC change on LST dynamics in Gaborone, a rapidly urbanising city in Botswana. Gaborone has experienced increased surface temperatures over the years, resulting in land degradation, periodic heat waves that have exacerbated energy poverty and quality of life. The study utilized the Landsat data to conduct a 15-year (2005 – 2020) spatio-temporal analysis of Gaborone LULC changes and LST dynamics. The analysis employed cutting-edge remote sensing techniques, including the big data Google Earth Engine (GEE) cloud computing platform and the Random Forest (RF) machine learning algorithm, known for their accuracy and efficiency in classification and change detection studies. By leveraging the GEE cloud platform, this study enables continuous monitoring of both LULC and LST variations in Gaborone. The findings revealed that over the 15-year period, approximately 12km2 of LULC was converted to built-up areas, resulting in a 2.36% annual urban growth rate and reduced green and bare spaces. Consequently, surface temperatures have increased by approximately 2.1◦C, aggravating the energy demand for cooling in summer. This trend, along with population growth and urbanization, has contributed to rapidly increasing electricity prices. The outcomes of this study provide valuable insights into the interplay between LULC changes, LST dynamics, and urban development in Gaborone, highlighting the urgent need for sustainable strategies to address land degradation, energy poverty, and quality of life.
Distribution and infestation levels of diseases, parasites and pests on honeybee Apis mellifera Woy-Gambella in three agro-ecological selected Woredas of South Omo Zone, Southern Ethiopia.
Authors: Ayele Bizuayehu Abebe 
Published: July 2023

Abstract
The study was conducted in South Omo Zone of Southern Ethiopia from 2020-2021to determine the prevalence and distribution of honeybee diseases, parasites, pests and predators. For laboratory diagnosis work 175 honeybee colonies were sampled during dry and wet season from apiary sites, backyard and forest beekeeping management system were examined for the presence of honeybee pests, external parasites and honey bee disease pathogens. Descriptive, frequency and chi-square (x2) test with SPSS version 20 were used to analyzed the collected samples. During internal and external hive inspection pests and predators were observed. Mainly wax mouth and small hive beetles were the major honey bee pests in the study area. In the laboratory diagnosis results, prevalence of Varroa mite and bee lice, was 90.86% and 25.71%, respectively with different risk factors at chi-square test. The prevalence of varroa mite there were no statistical significance difference at p < 0.05 in all associated risk factors, were as the prevalence of bee lice was statistically significance at p > 0.01with associated risk factors of study woreda/agro-ecology and season of sample collected. However, infected honeybee colonies with varroa mite appear to be producing well, this needs further research, especially on whether there indeed in natural tolerance level already developed in the colonies and how much extent honeybees decreased product.
Optimal design of groundwater pollution monitoring network based on a back-propagation neural network surrogate model and grey wolf optimizer algorithm under uncertainty
Authors: Guo Xinze , Luo Jiannan , Lu Wenxi , Dong Guangqi , Pan Zidong 
Published: July 2023

Abstract
In the optimal design of groundwater pollution monitoring network (GPMN), the uncertainty of the simulation model always affects the reliability of the monitoring network design when applying simulation–optimization methods. To address this issue, in the present study, we focused on the uncertainty of the pollution source intensity and hydraulic conductivity. In particular, we utilized simulation–optimization and Monte Carlo methods to determine the optimal layout scheme for monitoring wells under these uncertainty conditions. However, there is often a substantial computational load incurred due to multiple calls to the simulation model. Hence, we employed a back-propagation neural network (BPNN) to develop a surrogate model, which could substantially reduce the computational load. We considered the dynamic pollution plume migration process in the optimal design of the GPMN. Consequently, we formulated a long-term GPMN optimization model under uncertainty conditions with the aim of maximizing the pollution monitoring accuracy for each period. The spatial moment method was used to measure the approximation degree between the pollution plume interpolated for the monitoring network and the actual plume, which could effectively evaluate the superior monitoring accuracy. Traditional methods is easily trapped in local optima when solving the optimization model, so we used the grey wolf optimizer (GWO) algorithm to solve the optimization model. A hypothetical example was designed for evaluating the effectiveness of our method. The results indicated that the BPNN surrogate model could effectively fit the input–output relationship from the simulation model, as well as significantly reduce the computational load. The GWO algorithm effectively solved the optimization model and improved the solution accuracy. The pollution plume distribution in each monitoring period could be accurately characterized by the optimized monitoring network. Thus, combining the simulation–optimization method with the Monte Carlo method effectively addressed the optimal monitoring network design problem under uncertainty. In this study, we developed a stable and reliable methodology for optimally designing a GPMN.
Diagnostic accuracy and cost-effectiveness of automated image analysis software for screening of diabetic retinopathy: a protocol for a systematic review
Authors: KANKARIA ANKITA , Duggal Mona , Kernohan Ashleigh , Chauhan Anshul , Verma Priyanka , Bryant Andrew , Miglani Vaibhav , Chadda Neelima , Syal Preeti , Jaiswal Nishant , Gupta Vishali , Menon Geeta , Vale Luke 
Published: July 2023

Abstract
Background: Artificial intelligence applications for diabetic retinopathy grading have rapidly advanced but it is essential that these potential solutions are assessed for their diagnostic performance and cost-effectiveness. This review assesses evidence on the diagnostic accuracy and cost-effectiveness of automated image software for DR screening using human graders as the reference standard.
Method: A systematic review of (i): diagnostic test accuracy (DTA) studies and (ii) economic evaluations (EE). For DTA studies, a literature search of Web of Science, MEDLINE (PubMed), EMBASE, Ovid, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Database of Systematic Reviews (CDSR) from January 2000 to May 2023. For EEs, the DTA search strategy will be adapted to include economic search terms. Specialist databases (NHS Economic Evaluation Database; Cost-effectiveness Analysis Registry, Health Technology Assessment (HTA) database) will be searched from inception to May 2023. All titles and abstracts identified will be screened. For potentially eligible studies full-text screening will be conducted. Eligible studies will be those comparing the grading of fundus images by AI with retinal examination by trained professionals. Data extraction will be tailored to the type of study (DTA or EE) using a prespecified data extraction form. Data extracted will include source, study methods, participant characteristics, disease characteristics, index and reference test, data collection methods, costing component, costing characteristics, and outcome. For DTAs, risk of bias will be assessed using Quality Assessment of Diagnostic Studies- Comparative (QUADAS-C). For EEs the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) will be used. Two independent reviewers will be involved in study selection, screening, data extraction, and risk of bias assessment. Any disagreement in these steps will be resolved by discussion or a third reviewer.
For DTA studies, study results will be summarised as pooled sensitivity and specificity, summary receiver operating curve, and accuracy and prevalence adjusted and bias-adjusted kappa. For EE, data will be summarised in a narrative summary.
Discussion: This study will provide insights into the AI software's diagnostic accuracy and its cost-effectiveness for DR screening.
Trial registration: PROSPERO, CRD42021244269
Pan-cancer analysis of DNMT3A as a robust prognostic biomarker to predict the immunotherapy response
Authors: Su Xiaoyan , Liu Junzhe , Tu Zewei , Ji Qiankun , Li Jingying , Liu Fanrong 
Published: July 2023

Abstract
Background
DNA methyltransferase 3A (DNMT3A) is essential for de-novo methylation and cell development. Recent studies have shown that dysregulation of methylation regulated by DNMT3A is highly implicated in cancer progression. However, the regulatory roles of DNMT3A in various cancers are not completely clear and need further investigation.
Methods
The RNA-seq data in The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression databases (GTEx) are the source of this study. Western blot assays were performed to exhibit the relative expression level of DNMT3A in clinical glioma samples. CBioportal was utilized to explore the genomic alternation of DNMT3A. The images of immunofluorescence downloaded from the Human Protein Atlas (HPA) help to show the subcellular distribution of DNMT3A proteins. ComPPI is a powerful tool for studying protein interactions. Single-cell sequencing cohorts from TISCH were used to reveal the DNMT3A expression levels in different cell types. Two types of survival algorithms were conducted to assess the prognostic value of DNMT3A in pan-cancer. Gene Set Enrichment Analysis (GSEA) was applied to explore various cellular pathways and hallmarks. Immune cells infiltration in pan-cancer was summarized using data available on TIMER 2.0 website.
Results
The expression level of DNMT3A is significantly up-regulated in tumor tissue compared with that in normal tissue in most cancers. DNMT3A is discovered to have great accordance with the immune-related hallmarks like immune response signaling. In addition, the infiltration of DNMT3A in various subtypes of immune cells showed obvious aggregation of Treg, MDSC, B cell, Neutrophil, and Monocyte. At last, the robust prognostic ability of DNMT3A was further enhanced in several independent immunotherapy cohorts.
SPC25 upregulates CCND1 to promote the progression of esophageal squamous cell carcinoma by MDM2-mediated E2F1 ubiquitination and stabilization
Authors: Sun Yifeng , Jiang Haoyao , Jin Xiangfeng , Gu Haiyong , Li Bin , Li Zhigang 
Published: July 2023

Abstract
Background
The occurrence and development of esophageal squamous cell carcinoma (ESCC) are closely related to the overexpression of multiple oncogenes. Thus, it is of great urgent to explore new targets and therapeutic implications in ESCC.
Methods
We first identified the expression and interaction with prognosis of SPC25 in 88 primary ESCCs by IHC and verified by the Cancer Genome Atlas (TCGA) database. Then, stable shSPC25 cell lines of ESCC were constructed to evaluate its function of cell proliferation, migration, apoptosis, and cell cycle by western blot, Celigo cell counting, transwell, and flow cytometry analysis. Moreover, the potential mechanism was explored by performing microarray and bioanalysis and verified by RT‒qPCR, western blot, and rescue experiments in vitro and in vivo. Furthermore, coimmunoprecipitation, CHIP, luciferase reporter, and ubiquitination assays were performed to investigate the critical mechanism by which CCND1 affects SPC25 in ESCC.
Results
In this study, we identified that SPC25 is highly expressed in ESCC and promotes the proliferation, metastasis, and invasion of ESCC cells. Then, the underlying cellular mechanisms were explored. By performing microarray and bioanalysis, we found that CCND1 is a potential target of SPC25, and it is also upregulated in ESCC. Further experiments showed that E2F1, as the transcription factor of CCND1, is downregulated by the ubiquitination pathway after SPC25 knockdown, which in turn regulates the expression level of CCND1 in cells. In addition, SPC25 regulates E2F1 ubiquitination via the ubiquitin ligase MDM2.
Conclusions
Collectively, we demonstrated that the aberrant expression of SPC25 inhibited E2F1 ubiquitination to promote CCND1 expression, thus contributing to tumorigenesis, which provided new insights and therapeutic implications in ESCC.
Elovanoid-N34 is a homeostatic switch that modulates TXNRD1 for cell survival
Authors: Bazan Nicolas , Calandria Jorgelina , Bhattacharjee Surjyadipta , Kala-Bhattacharjee Sayantani , Mukherjee Pranab , Feng Yuehan , Vowinckel Jakob , Treiber Tobias 
Published: July 2023

Abstract
The thioredoxin (TRX) system is an NADP/FAD redox-triggered effector that sustains oxidative stress homeostatic environment, bioenergetics, and detoxifying drug networks. The bioactive lipid Elovanoid (ELV)-N34, derived from omega-3 fatty acid precursors, elicits pro-homeostatic activity via pathways that enhance cell survival and modulate inflammation and senescence gene programming under damaging conditions that encompass redox changes. Limited proteolysis (LiP) screening identified TXNRD1 variants 2, 3, or 5, the reductase of the TXR system, as an intracellular target of ELV-N34. The silencing of TXNRD1 confirmed that the target of ELV-N34 was variant 3. The lipid mediator induces changes in the structure of TXNRD1 that modify the FAD interface domain leading to the modulation of its activity. The addition of ELV-N34 decreased TXNRD1 activity of the membrane subfraction as well as of the cytosol, suggesting possible localizations for the targeted reductase. These results show for the first time that the lipid mediator ELV-N34 directly modulates TXNRD1 activity, undeleting its protective role in several pathological conditions when uncompensated oxidative stress (UOS) evolves.
Knowledge and Awareness of Radiographic Guidelines for Spinal Pain: a Cross-sectional Study Among Malaysian Chiropractors and Chiropractic Interns
Authors: Kioh Sheng Hui 
Published: July 2023

Abstract
Background
Although spinal radiographs are highly beneficial to identify causes for spinal pain, the inappropriate use of radiograph services among chiropractors have recently been debated. It has been proposed that lack of awareness of current guidelines and knowledge of guidelines application among chiropractors could possibly explain recent debate. Therefore, the aim of this study is to examine the level of knowledge and awareness to radiographic guidelines of spinal pain among chiropractors and chiropractic interns in Malaysia.
Methods
An online survey consisting of questions on their level of awareness on various radiographic guidelines and statements on agreements of radiography referrals was emailed to both chiropractors and chiropractic interns in Malaysia. Descriptive and Inferential statistics were used to describe the awareness level and compare the differences between the chiropractors and chiropractic interns.
Results
Of the 111 participants (75 chiropractors and 36 chiropractic interns), 71% of chiropractors and 29% of chiropractic interns were aware of the current radiographic guidelines. When compared on the statements of radiography referrals, significant differences were found between chiropractors and chiropractic interns on some of the statements of agreement for radiographic referrals.
Conclusion
The awareness level of radiography guidelines for spinal pain among chiropractors in Malaysia was higher as compared to other published studies. Some of the agreements on the radiography referrals for spinal pain was significantly difference between chiropractors and chiropractic interns. Future studies should also evaluate on the adherence level and factors associated with the awareness of radiographic guidelines
Construction of environmental art aided design system based on digital technology application in Smart Energy Industries
Authors: Li Zhi 
Published: July 2023

Abstract
Internet technology has become widely used with the social economy's rapid development, and in this social environment, artificial intelligence has come to be highly valued by all walks of life. This has had a significant impact on the growth of all these walks of life, and in this regard, the art and design industry is also similar. The digital-based framework is proposed for forming an environmental-based design system in the area of graphic design, forming unique possibilities for computer-aided design technology. This paper explains the innovation that led by the construction of art aided system. The research's goal is to construct an environmental art-aided system based on the application of digital technology. The work analyses different enhancements and characterizations of art-based design which deeply focuses on the technical background of the art-aided system, and invokes digital technology into the procedure of a computer-based design system with Artificial Intelligence. This provides various references for digital technology applications. The art-based design for different node samples is higher above the threshold value; it falls towards the lower node sample. At this particular point in time, the quality of the design's data distribution strategy right affects the perception of the system on the environmental quality.
Structural Optimization, Anti-TNBC Activities Evaluation, Molecular Docking and DFT Study of Indolone Derivative From Periplaneta americana
Authors: Jiang Qin-Bin , Maimaitituerhong Maierhaba , Li Xu , Cheng Li-Zhi , Huang Danling , Cheng Yong-Xian 
Published: July 2023

Abstract
In our previous work, an indolone derivative ZL170 were isolated and identified from Periplaneta americana (P. americana). Based on its characteristic structure, we used it as lead compound to carry out structural optimization and subsequent antitumor activity evaluation. In the present study, a series of novel indolone derivatives bearing thiazole scaffold were designed and synthesized, and their antitumor activities against triple-negative breast cancer (TNBC) were determined. The preliminary screening results showed that LJ3, LJ8, LJ23, and LJ27 display inhibition rates of over 60% against MDA-MB-231cell at the concentration of 50 µM. Notably, LJ23 demonstrated an IC50 value of 32.19 µM against MDA-MB-231, prompting further evaluation of its inhibitory effect on TNBC cell motility. Results revealed that LJ23 effectively hindered TNBC cell migration through downregulation of the EMT Process. Additionally, molecular docking was employed to predict the interaction mode between LJ23 and phosphoinositide 3-kinase (PI3K). Finally, theoretical calculations were conducted for LJ23 at the B3LYP/6-31G (d, p) level, and the frontier orbital energy was discussed.