bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifying the Environmental Determinants of Lung Cancer: A Case Study of Henan, China
Authors: Liu Yan , Xu Yanqing , Li Yuchen , Wei Haitao 
Published: June 2023

AbstractLung cancer has become one of the most prevalent cancers in the last several decades. Studies have documented that most cases of lung cancer are caused by inhaling environmental carcinogens while how external environmental factors lead to individual lung cancer is still an open issue as the pathogenesis may come from the combined action of multiple environmental factors, and such pathogenic mechanism may vary from region to region. Based on the data of lung cancer cases from hospitals at the county level in Henan from 2016 to 2020, we analyzed the response relationship between lung cancer incidence and physical ambient factors (air quality, meteorological conditions, soil vegetation) and socioeconomic factors (occupational environment, medical level, heating mode, smoking behavior). We used a Bayesian spatio‐temporal interaction model to evaluate the relative risk of disease in different regions. The results showed that smoking was still the primary determinant of lung cancer, but the influence of air quality was increasing year by year, with meteorological conditions and occupational environment playing a synergistic role in this process. The high‐risk areas were concentrated in the plains of East and Central Henan and the basin of South Henan, while the low‐risk areas were concentrated in the hilly areas of North and West Henan, which were related to the topography of Henan. Our study provides a better understanding of the environmental determinants of lung cancer which will help refine existing prevention strategies and recognize the areas where actions are required to prevent environment and occupation related lung cancer.
Ecological Flow Management Identified as Leading Driver of Grassland Greening in the Gobi Desert Using Deep Learning
Authors: Li Siqi , Zheng Yi , Han Feng , Xu Peng , Chen Anping 
Published: June 2023

AbstractThis study develops a convolutional recurrent deep learning model to accurately predict fine‐resolution spatiotemporal changes in grass coverage in arid regions. Applying the model to the Gobi Desert reveals that ecological flow regulation contributes to 61.8% of the total increase in grass cover (130.6 km2) in the study area (40,423 km2) over 2005–2015, nearly triple the contribution of local climate change (+23.0%). The transboundary hydrological impact (+32.4%) and interactions between drivers (−17.2%) are also significant. In an intermediate future climate change scenario, we found no statistically significant trend for the total grass‐covered area due to the counteracting effects among different drivers. The study findings suggest that timely, adaptive and spatially heterogeneous ecological flow management is crucial for addressing grassland degradation in arid regions. This study provides a promising approach to land surface modeling under climate change and human disturbance and expands the existing understanding of the global greening process.
Mechanosensitive changes in the expression of genes in colorectal cancer-associated fibroblasts
Authors: Emon Bashar , Song You Jin , Joy M. Saddam H. , Kovour Mounisha V. , Prasanth Kannanganattu V. , Saif M. Taher A. 
Published: June 2023

AbstractMost solid tumors become stiff with progression of cancer. Cancer Associated Fibroblasts (CAFs), most abundant stromal cells in the tumor microenvironment (TME), are known to mediate such stiffening. While the biochemical crosstalk between CAFs and cancer cells have been widely investigated, it is not clear if and how CAFs in stiffer TME promote metastatic progression. To gather insights into the process, we controlled the mechanical stiffness of the substrates and collected gene expression data with human colorectal CAFs. We cultured human primary CAFs on 2D polyacrylamide hydrogels with increasing elastic modulus (E) of 1, 10 and 40 kPa, and performed genome-wide transcriptome analyses in these cells to identify expression levels of ~16000 genes. The high-quality RNAseq results can be an excellent data-source for bioinformatic analysis for identifying novel pathways and biomarkers in cancer development and metastatic progression. With thorough analysis and accurate interpretation, this data may help researchers understand the role of mechanical stiffness of the TME in CAF-cancer cell crosstalk.
Quality of life and intrinsic capacity in patients with post-acute COVID-19 syndrome is in relation to frailty and resilience phenotypes
Authors: Guaraldi Giovanni , Milic Jovana , Barbieri Sara , Marchiò Tommaso , Caselgrandi Agnese , Motta Federico , Beghè Bianca , Verduri Alessia , Belli Michela , Gozzi Licia , Iadisernia Vittorio , Faltoni Matteo , Burastero Giulia , Dessilani Andrea , Del Monte Martina , Dolci Giovanni , Bacca Erica , Franceschi Giacomo , Yaacoub Dina , Volpi Sara , Mazzochi Alice , Clini Enrico , Mussini Cristina 
Published: June 2023

AbstractThe objective of this study was to characterize frailty and resilience in people evaluated for Post-Acute COVID-19 Syndrome (PACS), in relation to quality of life (QoL) and Intrinsic Capacity (IC). This cross-sectional, observational, study included consecutive people previously hospitalized for severe COVID-19 pneumonia attending Modena (Italy) PACS Clinic from July 2020 to April 2021. Four frailty-resilience phenotypes were built: “fit/resilient”, “fit/non-resilient”, “frail/resilient” and “frail/non-resilient”. Frailty and resilience were defined according to frailty phenotype and Connor Davidson resilience scale (CD-RISC-25) respectively. Study outcomes were: QoL assessed by means of Symptoms Short form health survey (SF-36) and health-related quality of life (EQ-5D-5L) and IC by means of a dedicated questionnaire. Their predictors including frailty-resilience phenotypes were explored in logistic regressions. 232 patients were evaluated, median age was 58.0 years. PACS was diagnosed in 173 (74.6%) patients. Scarce resilience was documented in 114 (49.1%) and frailty in 72 (31.0%) individuals. Predictors for SF-36 score < 61.60 were the phenotypes “frail/non-resilient” (OR = 4.69, CI 2.08–10.55), “fit/non-resilient” (OR = 2.79, CI 1.00–7.73). Predictors for EQ-5D-5L < 89.7% were the phenotypes “frail/non-resilient” (OR = 5.93, CI 2.64–13.33) and “frail/resilient” (OR = 5.66, CI 1.93–16.54). Predictors of impaired IC (below the mean score value) were “frail/non-resilient” (OR = 7.39, CI 3.20–17.07), and “fit/non-resilient” (OR = 4.34, CI 2.16–8.71) phenotypes. Resilience and frailty phenotypes may have a different impact on wellness and QoL and may be evaluated in people with PACS to identify vulnerable individuals that require suitable interventions.
Determinants of arterial stiffness in patients with type 2 diabetes mellitus: a cross sectional analysis
Authors: Staef Mawadah , Ott Christian , Kannenkeril Dennis , Striepe Kristina , Schiffer Mario , Schmieder Roland E. , Bosch Agnes 
Published: June 2023

AbstractIn patients with type 2 diabetes mellitus (T2DM) arterial stiffness is associated with increased cardiovascular and total mortality. Little is known about determinants of arterial stiffness in clinical routine. Identification of potential determinants of arterial stiffness will help to address treatment targets for patients in the early state of T2DM. This is a cross-sectional analysis of arterial stiffness in 266 patients in the early stage of T2DM who did not have cardiovascular or renal complications. Parameters of arterial stiffness such as central systolic blood pressure (cSBP), central pulse pressure (cPP) and pulse wave velocity (PWV) were measured with the SphygmoCor System (AtCor Medical). We investigated the influence of parameters of glucose metabolism, lipid status, body constitution, blood pressure (BP) and inflammation on the stiffness parameters using multivariate regression analysis. The study cohort consisted of male and female patients aged 61 ± 8 years with mean diabetes duration of 6.4 ± 5.1 years, mean HbA1c 7.1 ± 0.9%, mean cSBP 121 ± 12 mmHg, mean cPP 44 ± 10 mmHg and mean PWV 8.9 ± 1.8 m/s. Multiple regression analysis identified waist circumference (WC) (beta = 0.411, p = 0.026), LDL-cholesterol (beta = 0.106, p = 0.006), systolic office BP (beta = 0.936, p < 0.001) and diabetes duration (beta = 0.233, p = 0.043) as potential determinants of cSBP. cPP was determined by sex (beta = 0.330, p = 0.008), age (beta = 0.383, p < 0.001), systolic office BP (beta = 0.370, p < 0.001) and diabetes duration (beta = 0.231, p = 0.028) whereas for PWV the following determinants could be identified: age (beta = 0.405, p < 0.001), systolic office BP (beta = 0.421, p < 0.001) and diabetes duration (beta = 0.073, p = 0.038). In addition to the known parameters age, sex and systolic office BP serum LDL-cholesterol, WC and diabetes duration have been identified as determinants of arterial stiffness in patients with T2DM. Treatment of patients in the early stage of T2DM should focus on these clinical parameters to prevent progression of arterial stiffness and as a consequence reduce cardiovascular mortality.Trial registration: The patients included in the analysis participated in one of the following clinical trials NCT02752113 (registered 26.4.2016), NCT02383238 (09.03.2015), NCT02471963 (15.06.2015), NCT01319357 (21.03.2011) (http://www.clinicaltrials.gov).
Metal artifacts reduction in kV-CT images with polymetallic dentures and complex metals based on MV-CBCT images in radiotherapy
Authors: Ni Xiaochen , Shi Zhonghua , Song Xinmao , Tang Tianci , Li Shengwei , Hou Zhenfeng , Zhang Wei , Wang Wei Fang , Chen Fu , Li Ji , Yang Gang , Li Ruichen , Wang Xiaoshen 
Published: June 2023

AbstractThis paper proposes a metal artifact reduction method of using MV-CBCT images to correct metal artifacts in kV-CT images, especially for the complex metal artifacts caused by multi-metal interaction of patients with head and neck tumors. The different tissue regions are segmented in the MV-CBCT images to obtain template images and the metal region is segmented in the kV-CT images. Forward projection is performed to get sinogram of the template images, kV-CT images and metal region images. Artifact images can be reconstructed through those sonograms. Corrected images is generated by subtracting the artifact images from the original kV-CT images. After the first correction, the template images are generated again and brought into the previous step for iteration to get better correction result. CT data set of 7 patients are used in this study, compared with linear interpolation metal artifact (LIMAR) and normalized metal artifact reduction method, mean relative error of CT value is reduced by 50.5% and 63.3%, noise is reduced by 56.2% and 58.9%. The Identifiability Score of the tooth, upper/lower jaw, tongue, lips, masseter muscle and cavity in the corrected images by the proposed method have significantly improved (P < 0.05) than original images. The artifacts correction method proposed in this paper can effectively remove the metal artifacts in the images and greatly improve the CT value accuracy, especially in the case of multi-metal and complex metal implantation.
Novel N′-substituted benzylidene benzohydrazides linked to 1,2,3-triazoles: potent α-glucosidase inhibitors
Authors: Saeedi Mina , Hariri Roshanak , Iraji Aida , Ahmadi Ali , Mojtabavi Somayeh , Golshani Shiva , Faramarzi Mohammad Ali , Akbarzadeh Tahmineh 
Published: June 2023

AbstractHerein, various N′-substituted benzylidene benzohydrazide-1,2,3-triazoles were designed, synthesized, and screened for their inhibitory activity toward α-glucosidase. The structure of derivatives was confirmed using 1H- and 13C-NMR, FTIR, Mass spectrometry, and elemental analysis. All derivatives exhibited good inhibition with IC50 values in the range of 0.01 to 648.90 µM, compared with acarbose as the positive control (IC50 = 752.10 µM). Among them, compounds 7a and 7h showed significant potency with IC50 values of 0.02 and 0.01 µM, respectively. The kinetic study revealed that they are noncompetitive inhibitors toward α-glucosidase. Also, fluorescence quenching was used to investigate the interaction of three inhibitors 7a, 7d, and 7h, with α-glucosidase. Accordingly, the binding constants, the number of binding sites, and values of thermodynamic parameters were determined for the interaction of candidate compounds toward the enzyme. Finally, the in silico cavity detection plus molecular docking was performed to find the allosteric site and key interactions between synthesized compounds and the target enzyme.
Corrosion inhibition properties of schiff base derivative against mild steel in HCl environment complemented with DFT investigations
Authors: Betti Nadia , Al-Amiery Ahmed A. , Al-Azzawi Waleed Khalid , Isahak Wan Nor Roslam Wan 
Published: June 2023

AbstractThere is growing interest in using corrosion inhibitors and protective treatments to limit the degradation of mild steel, leading to the development of numerous Schiff bases as cutting-edge inhibitors. In this study, the effectiveness of a Schiff base, 3-((5-mercapto-1,3,4-thiadiazol-2-yl)imino)indolin-2-one (MTIO), to prevent mild steel corrosion in HCl was investigated using weight loss measurements, potentiodynamic polarization measurements, electrochemical impedance spectroscopy techniques, and surface characterization. The experimental results showed that 0.5 mM MTIO exhibited a satisfactory inhibitor efficiency of 96.9% at 303 K. The MTIO molecules physically and chemically adsorbed onto the mild steel surface following the Langmuir model, forming a compact protective film attributed to the presence of a thiazole ring in the MTIO structure. Theoretical calculations were combined with experimental techniques to investigate the anticorrosion performance and mechanism of inhibition.
A retrospective study of the accuracy of Invisalign Progress Assessment with clear aligners
Authors: Li Bo , Xu Yi-Meng , Shi Rui-Ying , Hu Yi-Rong , Liu Si-Ying , Gu Ze-Xu 
Published: June 2023

AbstractThe objective of this study was to detective the accuracy of model superimposition and automatic analysis for upper and lower dentition width in Invisalign Progress Assessment during the process of clear aligners. 19 cases were included in this study. Pre-treatment dental cast (T0) and post-treatment dental cast after staged treatment (T1) were available for three-dimensional model superimposition. Subsequently, movements of maxillary teeth in the horizontal plane (cross-section) after staged treatment and width of upper and lower dentition were measured by three-dimensional model superimposition in the real world and Invisalign Progress Assessment separately. Consequently, the data collected from these two methods were compared. In Invisalign Progress Assessment, movements of maxillary teeth in the horizontal plane after staged treatment was 2.31 (1.59,3.22) [median (upper quartile, lower quartile)] millimeter (mm), while in three-dimensional model superimposition, the result was 1.79 (1.21,3.03) mm. The difference between the two groups is significant (P < 0.05). Intercanine width upper, intermolar width upper, intercanine width lower, and intermolar width lower were 36.55 ± 2.76 mm, 56.98 ± 2.62 mm, 28.16 ± 1.85 mm, 53.21 ± 2.72 mm separately in Invisalign Progress Assessment and were 36.48 ± 2.78 mm, 56.89 ± 2.58 mm, 28.05 ± 1.85 mm, 53.16 ± 2.64 mm separately in three-dimensional model analysis, which was no significant difference among these groups (P > 0.05). The data from Invisalign Progress Assessment was not in parallel with what was achieved from model superimposition with palate as a reference completely. The accuracy of model superimposition in Invisalign Progress Assessment needs further investigation, whereas the accuracy of model analysis in Invisalign Progress Assessment was accurate. Thereby, results from Invisalign Progress Assessment should be interpreted with caution by the orthodontist in the clinic.
Integrated bioinformatics analysis for identifying key genes and pathways in female and male patients with dilated cardiomyopathy
Authors: Zhang Min , Wang Xinzhou , Chen Wenbo , Liu Wei , Xin Jile , Yang Debao , Zhang Zhongyuan , Zheng Xiaoke 
Published: June 2023

AbstractDilated cardiomyopathy (DCM) is a common cause of heart failure, and males are more likely to suffer from DCM than females. This research aimed at exploring possible DCM-associated genes and their latent regulatory effects in female and male patients. WGCNA analysis found that in the yellow module, 341 and 367 key DEGs were identified in females and males, respectively. A total of 22 hub genes in females and 17 hub genes in males were identified from the PPI networks of the key DEGs based on Metascape database. And twelve and eight potential TFs of the key DEGs were also identified in females and males, respectively. Eight miRNAs of 15 key DEGs were screened in both females and males, which may be differentially expressed in females and males. Dual-luciferase reporter assay demonstrated that miR-21-5P could directly target the key gene MATN2. Furthermore, Sex differences in KEGG pathways were identified. Both KOBAS and GSEA analysis identified 19 significantly enriched pathways related to immune response in both females and males, and the TGF-β signaling pathway was exclusively identified in males. Network pharmacology analysis revealed that seven key DEGs were potential targets for the treatment of DCM, of which the OLR1 gene was only identified in males, the expression levels of the seven genes were verified by RT-PCR. The above results could offer a novel understanding of sex differences in key genes and pathways in DCM progression.
New genomic insights into the conformation of Lipizzan horses
Authors: Gmel A. I. , Brem G. , Neuditschko M. 
Published: June 2023

AbstractConformation traits are important selection criteria in equine breeding, as they describe the exterior aspects of the horse (height, joint angles, shape). However, the genetic architecture of conformation is not well understood, as data of these traits mainly consist of subjective evaluation scores. Here, we performed genome-wide association studies on two-dimensional shape data of Lipizzan horses. Based on this data, we identified significant quantitative trait loci (QTL) associated with cresty neck on equine chromosome (ECA)16 within the MAGI1 gene, and with type, hereby differentiating heavy from light horses on ECA5 within the POU2F1 gene. Both genes were previously described to affect growth, muscling and fatty deposits in sheep, cattle and pigs. Furthermore, we pin-pointed another suggestive QTL on ECA21, near the PTGER4 gene, associated with human ankylosing spondylitis, for shape differences in the back and pelvis (roach back vs sway back). Further differences in the shape of the back and abdomen were suggestively associated with the RYR1 gene, involved in core muscle weakness in humans. Therefore, we demonstrated that horse shape space data enhance the genomic investigations of horse conformation.
Targeting the post-synaptic proteome has therapeutic potential for psychosis in Alzheimer Disease
Authors: Krivinko J. M. , DeChellis-Marks M. R. , Zeng L. , Fan P. , Lopez O. L. , Ding Y. , Wang L. , Kofler J. , MacDonald M. L. , Sweet R. A. 
Published: June 2023

AbstractIndividuals with Alzheimer Disease who develop psychotic symptoms (AD + P) experience more rapid cognitive decline and have reduced indices of synaptic integrity relative to those without psychosis (AD-P). We sought to determine whether the postsynaptic density (PSD) proteome is altered in AD + P relative to AD-P, analyzing PSDs from dorsolateral prefrontal cortex of AD + P, AD-P, and a reference group of cognitively normal elderly subjects. The PSD proteome of AD + P showed a global shift towards lower levels of all proteins relative to AD-P, enriched for kinases, proteins regulating Rho GTPases, and other regulators of the actin cytoskeleton. We computationally identified potential novel therapies predicted to reverse the PSD protein signature of AD + P. Five days of administration of one of these drugs, the C-C Motif Chemokine Receptor 5 inhibitor, maraviroc, led to a net reversal of the PSD protein signature in adult mice, nominating it as a novel potential treatment for AD + P.
Home Literacy Environment and Interventions for Children With Intellectual and Developmental Disabilities: A Scoping Review
Authors: Biggs Elizabeth E. , Arserio Allyson P. , Robison Sarah E. , Ross Madison E. 
Published: June 2023

Purpose:
The aim of this scoping review was to map the research literature published in English and in peer-reviewed journals related to the home literacy environment of children and youth aged 3–21 years with intellectual and developmental disabilities (IDD) who have significant support needs, including children with complex communication needs.

Method:
A systematic search was conducted in four databases, along with forward and backward searching. The search yielded 60 studies, which included intervention and nonintervention studies. Data were charted related to participant characteristics, study focus, intervention components, study design and methodological rigor, and study results.

Results:
Findings provided insight into multiple dimensions of the home literacy environment for children with IDD, including the nature of parent views, practices, and interaction styles during shared reading. Findings also revealed gaps in the literature, specifically related to (a) limited representation of subgroups of children and youth with IDD, (b) limited representation of diverse families and caregivers, and (c) concerns about methodological quality.

Conclusion:
This review identifies important directions for future research and suggests ways to improve the design and delivery of home literacy interventions for children and youth with IDD and their families, including through family-centered and culturally responsive models.

Supplemental Material:

https://doi.org/10.23641/asha.22704817
Tunable catalytic release of nitric oxide via copper‐loaded coatings on titanium nanotubes for regulating biological performance
Authors: Li Zhiyong , Zhang Lu , Zhou Lei , Li Xin , Zhao Yuancong , Wang Jin 
Published: June 2023

AbstractSevere lesions in vessels need to be treated with implantable interventional devices such as vascular stents, which should be anti‐coagulantion, anti‐proliferation and promoting endothelialisation. Nitric oxide (NO), as a physiological gas signalling molecule, play an important role in revascularisation. Catalysing the release of NO from endogenous donors has already been widely favoured to treatment strategy for lesioned vessels. In this work, a series of copper‐loaded coatings (titanium nanotube (TNT)/PDA‐Cu) was fabricated by TNTs combined with polydopamine and ions, which achieve controlled in situ catalytic release of NO. This strategy could effectively immobilised copper ions on TNTs, and promoted the proliferation of endothelial cells and inhibited growth of smooth muscle cells (SMCs) via the performance of NO, as well as restrain the platelet adhesion. With the multiple function, TNT/PDA‐Cu provides a promise approach for promoting endothelialisation, anti‐coagulation and inhibition of SMC proliferation via copper‐loaded coatings on TNTs.