bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Integrated Investigate of the Relationship Between the Soil Microbial Community and Chrysanthemum Zawadskii (Herb.) Wilt Disease
Authors: Wu Chao , Juan Peng , Song Tingting 
Published: September 2023

Abstract
Chrysanthemum wilt is a plant disease that exerts a substantial influence on the cultivation of Chrysanthemum zawadskii (Herb.) for tea and beverage production. The rhizobial microbial population exhibits a direct correlation with the overall health of the plants. Therefore, studying the rhizosphere of CZHZ microbial communities would be of great significance for finding methods to control this disease. This study collected rhizosphere soil samples from diseased and healthy strains and analysed their microbial composition using high-throughput sequencing technology. The results showed that the diversity of rhizosphere microorganisms in the diseased strains was considerably reduced, and the microbial community structure of the diseased strains underwent significant changes compared to the healthy strains. In addition, the relative abundance of pathogenic microorganisms, such as root rot fungi and phytophthora, significantly increased, while the beneficial micro-organisms (e.g. antagonistic bacteria and Actinomyces) decreased significantly in the rhizosphere soil of the diseased strains. The positive correlation between bacteria and environmental factors indicates that environmental factors may have a substantial impact on the abundance and species of fungi in soil. Our results show that we can prevent the occurrence of wilt disease by adjusting the physiochemical properties of the rhizosphere soil and by changing the microbial communities. However, by regulating and optimising the microbial community structure, new ideas and methods can be provided for the prevention and control of chrysanthemum wilt disease.
Temozolomide-associated Blepharoconjunctivitis
Authors: Kornhauser Tom , Pemberton John David 
Published: September 2023

Abstract
Background: Temozolomide (TMZ) is an effective oral alkylating agent used in treating various malignancies. It works by introducing methyl groups into DNA, inhibiting cell division. While highly effective in treating glioblastoma multiforme (GBM) and high-grade gliomas, TMZ use is associated with increased adverse event risks.
Case Presentation: We present a case of a 58-year-old African-American man diagnosed with GBM. Following adjuvant TMZ treatment, he developed blepharoconjunctivitis, characterized by eyelid and conjunctival inflammation. Symptoms included eyelid swelling, crusting, and conjunctival discharge, which were promptly resolved with topical steroid cream and eye drops.
Conclusions: Reports specifically linking TMZ to blepharoconjunctivitis are limited. The exact mechanism remains unclear but may involve inflammation extending from blepharitis to the conjunctiva. Healthcare providers must recognize and manage ophthalmic complications promptly. This case report highlights blepharoconjunctivitis associated with TMZ use in a GBM patient. While TMZ is an effective treatment, ophthalmic side effects can occur.
Up-to-date quality survey and evaluation of neonatal screening programs in China
Authors: Zhang jinming , Jin lizi , Fei Yu , Li Wen , Jiang Ting , Zhang Zehao , He Falin 
Published: September 2023

Abstract
Aims
To thoroughly evaluate the quality of the entire process of neonatal screening (NBS) in China and compare it with existing reports worldwide.
Methods
We collected survey questionnaires from 54.4% (135/248) of NBS institutions in China and conducted on-site visits to 20 of these facilities to validate the data. The quality performance of the institutions was evaluated, and differences across various factors were analyzed. Key results were compared with data from developed countries.
Results
We analyzed surveys from 25 provinces. Merely 62.5% of the provinces had acceptable performance in neonatal screening. Institutions with limited staff were more prone to organizational management shortcomings. Institutions in provinces with a per capita GDP below 10,000 USD exhibited lower quality control levels than those with a per capita GDP between 10,000 and 15,000 USD. Obstetrics departments have a lower awareness of quality control compared to other blood collection facilities. The positive predictive values (PPV) of newborn screening tests in Germany and China were both suboptimal, with the German PPV significantly higher than the Chinese PPV.
Conclusions
Although neonatal screening in China is relatively balanced, it still lags behind that of developed countries. A nationwide, comprehensive quality control system for continuous enhancements in post-testing management, diagnosis, and treatment is imperative to ensure prompt diagnosis and intervention.
Beyond Resilience Triangle: Dissecting Resilience Curve Archetypes and Properties in Human Systems Facing Weather Hazards
Authors: Hsu Chia-Wei , Mostafavi Ali 
Published: September 2023

Abstract
Resilience curves have been the primary approach for conceptualizing and representing the resilience behavior of communities during hazard events; however, the use of resilience curves has remained as a mere conceptual and visual tool with limited data-driven characterization and empirical grounding. Empirical characterizations of resilience curves provide essential insights regarding the manner in which differently impacted systems of communities absorb perturbations and recover from disruptions. To address this gap, this study examines human mobility resilience patterns following multiple weather-related hazard events in the United States by analyzing more than 2000 empirical resilience curves constructed from high-resolution location-based mobility data. These empirical resilience curves are then classified using k-means clustering based on various features (e.g., residual performance, disruptive duration, and recovery duration) into archetypes. Three main archetypes of human mobility resilience are identified: Type I, with rapid recovery after mild impact; Type II, exhibiting bimodal recovery after moderate impact; and Type III, showing slower recovery after severe impact. The results also reveal critical thresholds, such as the bimodal recovery breakpoint at a 20% impact extent (i.e., function loss), at which the recovery rate decreases, and the critical functional threshold at a 60% impact extent, above which recovery rate would be rather slow. The results show that a critical functional recovery rate of 2.5% per day is necessary to follow the bimodal resilience archetype when impact extent exceeds more than 20%. These findings provide novel and important insights into different resilience curve archetypes and their fundamental properties. Departing from using resilience curves as a mere concept and visual tool, the data-driven specification of resilience curve archetypes and their properties improve our understanding of the resilience patterns of human systems of communities and enable researchers and practitioners to better anticipate and analyze ways communities bounce back in the aftermath of disruptive hazard events.
Regulating TKT activity inhibits proliferation of human acute lymphoblastic leukemia cells
Authors: Huang Fang-Liang , Chang Yao-Ming , Lin Cheng-Yung , Yu Sheng-Jie , Fu Jing-Tong , Chou Ting-Yu , Yeh Sih-Wen , Liao En-Chih , Li Chia-Ling 
Published: September 2023

Abstract

Background
Among pediatric blood cancers, acute lymphoblastic leukemia (ALL) is the most common hematologic malignancy. Within ALL, the T-cell acute lymphoblastic leukemia (T-ALL) accounts for 10 to 15% of all pediatric cases, and ~ 25% of adult cases. Their overall survival rate is 80%. The overall prevalence of ALL was 4/100,000 population. In Taiwan, it accounts for 25 to 30% of all childhood cancers and with ~ 200 newly diagnosed cases every year. Its recurrence and relapse after treatment remain problematic. It is therefore the need to develop new therapies for patients with T-ALL. Recent studies suggested regulating energy metabolism is a novel approach to inhibit tumor growth, likely a promising treatment of this cancer. Transketolase (TKT) is an important enzyme for modulating glucose metabolize in the pentose phosphate pathway.
Methods
Human T-ALL cell lines were treated with different doses of niclosamide and primary T-ALL PBMCs were analyzed by RNA sequencing. Cell viability were analyzed by CCK-8 assay. Human T-ALL cells treated with niclosamide were also conducted for Western blotting analysis and TKT activity assay. Metabolism evaluation of T-ALL cells were analyzed by ATP assay and seahorse analyses. Last, the effect of knockdown TKT on T-ALL tumor growth was examined in a T-ALL xenograft murine model. Tumor samples from T-ALL xenograft murine model were analyzed by hematoxylin and eosin (H&E) staining and immunohistochemistry (IHC) staining.
Results
In our study, we demonstrated that niclosamide reduced cell viability of T-ALL cells, and it also reduced expressions of TKT, TKTL1/2, transaldolase. In addition, niclosamide inhibited TKT enzyme activity, aerobic metabolism and glycolysis, finally leading to reduced ATP production. The tumor growth of xenograft T-ALL mice were inhibited by the knockdown of TKT.
Conclusions
Findings showed that niclosamide inhibits T-ALL cell growth by inhibiting TKT and energy metabolism.
A Multi-view Mask Contrastive Learning Graph Convolutional Neural Network for Age Estimation
Authors: Zhang Yiping , Shou Yuntao , Meng Tao , Ai Wei , Li Keqin 
Published: September 2023

Abstract
The age estimation task aims to use facial features to predict the age of people and is widely used in public security, marketing, identification, and other fields. However, this task is highly susceptible to internal and external attributes such as race, gender, and expression, and existing methods based on CNN methods cannot well reflect the relationship between facial local features. Therefore, this paper proposes a Multi-view Mask Contrastive Learning Graph Convolutional Neural Network (MMCL-GCN) for age estimation. Specifically, the overall structure of the MMCL-GCN network contains a feature extraction stage and an age estimation stage. In the feature extraction stage, we introduce a graph structure to construct face images as input and then design a Multi-view Mask Contrastive Learning (MMCL) mechanism to learn complex structural and semantic information about face images. The learning mechanism employs an asymmetric siamese network architecture, which utilizes an online encoder-decoder structure to reconstruct the missing information from the original graph and utilizes the target encoder to learn latent representations for contrastive learning. Furthermore, to achieve more robust contrastive learning, we adopt the strategy of masking nodes for the online encoder and masking the edges for the target encoder. In the age estimation stage, to fully use the features extracted by the online encoder, we design a Multi-layer Extreme Learning Machine (ML-IELM) with identity mapping. Then, a classifier and a regressor were constructed based on ML-IELM, which were used to identify the age grouping interval and accurately estimate the final age. Extensive experiments show that MMCL-GCN can effectively reduce the error of age estimation on benchmark datasets such as Adience, MORPH-II, and LAP-2016.
A Machine Learning Framework for Predicting Failures in Cloud Data Centers -A case of Google Cluster -Azure Clouds and Alibaba Clouds
Authors: Ng’ang'a Daniel Njuguna , Cheruiyot Wilson , Njagi Dennis 
Published: September 2023

Abstract
The large scale and dynamic nature of cloud has added extra complexity when it comes to fault detection and management. Availability directly depends upon how fast the cloud infrastructure can detect any faults and take necessary steps to troubleshoot the problem. It is critical for service providers to provide stable service or else it may cause losses for clients. It is important to detect a failure in its embryonic stages to employ preventive measures to avoid a disastrous failure before it occurs. Researchers have focused on pure-bred failure characterization and analysis machine learning models to enhance cloud failure prediction accuracy for large cloud data centers but limited research has been done with ensemble models. In this paper we develop an enhanced cloud failure prediction model based on Adaboost ensemble Machine Learning algorithms that predicts hardware and software failures using Google Cluster 2019, Azure Clouds and Alibaba clouds datasets. Our model employs ensemble classification using Logistic Regression, Random Forest Classifier and Decision Tree Classifier. Results indicate our approach recorded a marginal improvement in accuracy prediction compared with results from previous researchers in the area. Decision Tree yielded best average model performance results recording 91.7% Precision, 88.8% Recall, 89.7% F1 Score, 94.0% Accuracy and 89.0% AUC.
Effect of heating atmosphere composition and content on phase and morphology distribution of copper oxide layer
Authors: Lv Chufeng , Guo Yue , Zhao Jian , Dai Fangqin , Zeng Weidong , Liu Ming 
Published: September 2023

Abstract
When copper billet is heated in the rolling reheating furnace, some oxides which affect the surface quality may remain on the substrate. This study investigates the effects of different heating atmosphere compositions and contents (N2, O2, CO2 and H2O) on the micro-morphology and phase evolution of the exfoliated and residual oxides on copper billet surface by high-temperature oxidation experiments. The results show that the main phase of the exfoliated oxides is CuO attached to loose Cu2O, and the residual nodular oxides are also CuO which directly adhere to copper matrix; water vapour can increase the number and size of Cu2O particles on the interface between exfoliated oxide and copper matrix, and effectively reduces the number of residual nodular oxides; the vapour and its decomposition products may effectively eliminate the pores within the oxide layer and at the oxide-matrix interface, while CO2 may increase the pore size inside the oxide layer.
An overload of missense variants in the OTOG gene may drive a higher prevalence of familial Meniere disease in the European descendant population
Authors: Lopez-Escamez Jose A. , Parra-Perez Alberto M. , Gallego-Martinez Alvaro 
Published: September 2023

Abstract
Meniere's disease is a complex inner ear disorder with significant familial aggregation. A differential prevalence of familial MD (FMD) has been reported, being 9-10% in Europeans compared to 6% in East Asians. A broad genetic heterogeneity in FMD has been described, OTOG being the most common mutated gene, with a compound heterozygous recessive inheritance. We hypothesize that an OTOG-related founder effect may explain the higher prevalence of FMD in the European population. Therefore, the present study aimed to compare the allele frequency (AF) and distribution of OTOG rare variants across different populations.
For this purpose, coding regions with high constraint (low density of rare variants) in OTOG coding sequence in Non-Finnish European (NFE) were identified. Missense variants (AF<0.01) were selected from a 100 FMD patients’ cohort, and their population AF was annotated using gnomAD v2.1. A linkage analysis was performed, and odds ratios (OR) were calculated to compare AF between NFE and other populations.
Thirteen rare missense variants were observed in 13 FMD patients, with two variants (rs61978648, rs61736002) shared by 5 individuals and one variant (rs117315845) shared by 2 individuals. The results confirm the observed enrichment of OTOGrare missense variants in FMD. Furthermore, 8 variants were enriched in the NFE population, and six of them were in constrained regions. Structural modeling predicts five missense variants could alter the otogelin stability.
We conclude that several variants reported in FMD are in constraint regions and may have a founder effect and explain the burden of FMD in the European population.
Factors Related to Physical Activity Among Older Adults: A Loughborough-Based Study
Authors: Guan Jiayin , Zitkus Emilene , de Bont Cees , Dong Hua 
Published: September 2023

Abstract
Population ageing has become a global challenge, impacting healthcare services and healthcare-related industries. Although physical activity has been proven positively related to healthy ageing, the number of older adults being inactive in the United Kingdom is still high. Factors related to physical activity should be better understood to motivate older adults to be more physically active. This paper presented factors related to physical activity based on the literature on behaviour change, motivation, and intervention. A survey was conducted in Loughborough, a town that has enormous sports culture and facilities in the United Kingdom, where 101 participants were recruited. The results of the data analysis revealed new insights into the relationship between behavioural and motivational factors. The physical capability was positively related to intrinsic motivation. Older adults with more social participation had stronger intrinsic motivation and identified regulation. Internet or social media use was significantly correlated to having enough balance training. Intrinsic motivation was significantly correlated with physical activity behaviour and enjoyment, while extrinsic motivation was unrelated. Feeling enjoyment was positively correlated to physical activity behaviour. Although fewer men participated in the study, they gave a significantly higher rating of having enough time for physical activity than female participants. A conceptual model was developed to promote sustained behaviour change using a concentric circle structure which contains three levels and two systems. The model can be used to design better interventions for older adults to increase their physical activity level, which will contribute to the goal of healthy ageing.
Replicating and Extending the Reliability, Criterion Validity, and Treatment Sensitivity of The Shortened PANSS for Pediatric Trials
Authors: Busner Joan , Youngstrom Eric A. , Langfus Joshua A. , Daniel David G. , Findling Robert L. 
Published: September 2023

Abstract
Question: Do the shortened Positive and Negative Syndrome Scale (PANSS) [1] versions recently developed from a National Institute of Mental Health (NIMH) pediatric dataset continue to perform well in a third independent randomized double-blind clinical trial of adolescents with schizophrenia?
Findings: Secondary analysis of the double-blind, placebo-controlled aripiprazole pivotal trial data (N=302) found that the 10-item (and 20-item) PANSS versions on which we have previously reported [2] continued to provide high reliability, strong convergent correlation with expected measures, and treatment effects that equaled those found in the 30-item adult PANSS.
Meaning: Our shortened PANSS, derived originally from the randomized non-placebo controlled NIMH Treatment of Early Onset Schizophrenia Spectrum study (TEOSS) [3], and independently replicated in both the placebo-controlled paliperidone pivotal trial for adolescents with schizophrenia [4], and now the placebo-controlled aripiprazole pivotal trial for adolescents with schizophrenia, has again performed as well as the full 30 item adult-patient derived PANSS. The findings suggest it is possible to reduce the PANSS interview by 2 thirds, thus reducing burden on families and pediatric patients as well as administration and training costs, while maintaining high reliability, validity, and sensitivity to treatment equal to that of the 30-item version.
The influence of human papillomavirus infection on risk of colorectal cancer:a mendelian randomization study
Authors: Pei Bo , Liu Peijun , Peng Shixuan , Zhou Fuxiang 
Published: September 2023

Abstract
Background
Despite the well-established link between human papillomavirus (HPV) and cervical and anogenital cancers, there is ongoing debate regarding the relationship between HPV and colorectal cancer (CRC).
Methods
We evaluated the causal connection between HPV infection and CRC utilizing Mendelian randomization(MR) analyses.Genome-wide association studies (GWAS) datasets for HPV were obtained from the IEU Open GWAS project. A large summary of colorectal adenocarcinoma and colorectal cancer data from the FinnGen database was used as the outcome.
Results
Our analysis revealed a significant association between genetically predicted HPV-16 infection and the risk of paternal colorectal adenocarcinoma (HPV-16: OR 1.058, 95% CI 1.013 to1.102; p = 0.011), as well as CRC (HPV-16: OR 1.045 95% CI 1.005 to 1.085; p = 0.025). However, similar results were not found in the subtype of HPV-18, colorectal adenocarcinoma (OR: 0.955, 95% CI: 0.893–1.0022; p = 0.184), and CRC (OR: 0.949, 95% CI: 0.889–1.0011 ; p = 0.106).
Conclusion
These findings provide compelling evidence for a causal effect of HPV-16 on the development of CRC. Further investigations into the underlying mechanisms and elucidation of this association are necessary to identify viable interventions for the prevention and treatment of HPV-16-associated CRC.
Estimation of the number of monotone intervals for iterations of the tent map
Authors: Chen Kai , Shi Yongguo 
Published: September 2023

Abstract
The tent map with two parameters has wonderful and complexdynamic properties. We present the relationship between topological entropyand the number of monotonic intervals for iterations of the tent map. Wedivide the parameter region into some sub-regions, and estimate the corre-sponding growth rate of the number of monotonic intervals.
AMS(2020) subject classifications. 37E05, 37C25
BETTER LIFE- Guidelines for Chronic Disease Prevention and Screening for people aged 18-39 years: a harmonized literature review
Authors: Moqueet Nasheed , Cornacchi Sylvie D. , Antony Jesmin , Khalil Ielaf , Manca Donna , Fernandes Carolina , Paszat Lawrence , Aubrey-Bassler Kris , Grunfeld Eva , Sopcak Nicolette , Pinto Andrew , Konkin Jill , Nykiforuk Candace , Rabeneck Linda , Selby Peter , Wall Becky , O'Brien Mary Ann , Lofters Aisha 
Published: September 2023

Abstract
Background
The original ‘BETTER’ (Building on Existing Tools To Improve Chronic Disease Prevention and Screening in Primary Care) approach consisted of a prevention-focused visit between participants aged 40–65 years and a “Prevention Practitioner” (PP), who empowered the participant to set achievable prevention and screening goals for cancers and chronic diseases. BETTER was successfully adapted for economically deprived communities (BETTER HEALTH). We conducted an evidence review of guidelines in preparation for adapting the ‘BETTER HEALTH’ approach for younger adults aged 18–39 years living with lower income, a group known to have earlier mortality due to a higher prevalence of preventable chronic diseases than their peers with higher income.
Methods
We searched multiple electronic databases and grey literature for clinical practice guidelines on prevention/screening and included those that met the following criteria: published in English from 2008–2020 in Canada or any of the following countries (Australia, Ireland, New Zealand, Scotland, United States and England); and addressed prevention or screening. We assessed quality using the Appraisal of Guidelines for Research and Evaluation (AGREE) II tool and extracted data from sources with overall scores of 5 or higher. Final recommendations were compiled after harmonization with input from diverse stakeholders (co-investigators, PPs, and the Community Advisory Committee).
Results
We included a total of 85 guidelines, and developed a final list of 42 recommendations for 18–39 year-olds across 21 topics. Specific recommendations fell under the following topics: cancers, cardiovascular disease, diabetes, obesity, lifestyle (alcohol; healthy nutrition/physical activity); healthy relationships and healthy sexuality, immunization, oral health, social determinants of health, and substance use.
Conclusion
We identified evidence-based guidelines on prevention/screening actions for adults 18–39 years old and relevant for those living with lower income.