bluuebunny/crossref_metadata_2025_split huggingface dataset:
The association between oral health and mild cognitive impairment in community-dwelling older adults
Authors: Ye Niansi , Deng Bei , Hu Hui , Ai Yating , Wang Ling , Liu Xueting , Peng Yunqiao , Zhou Shi , Li Yucan 
Published: November 2022

Abstract
Background:As the population ages, the number of older adults aged 65 and over is increasing. Increasing age is associated with an increased risk of oral disease and cognitive decline. Older adults with cognitive impairment can experience poor oral health due to reduced self-care abilities, yet the impact of various oral health indicators on the cognitive abilities of older adults remains unclear. This study sought to investigate the relationship between various oral health indicators and mild cognitive impairment (MCI) in older adults.
Methods:A cross-sectional study of 234 older adults aged 65 years or over was performed between June and September 2022. This study developed a data web platform specifically to screen and intervene with older adults with MCI, using the Mini-mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Activities of Daily Living (ADL), Clinical Dementia Rating (CDR) and Hachinski Ischemic Score (HIS) to measure MCI. Oral health status was measured by subjective and objective assessment tools, and the oral health-related quality of life (OHRQoL) was assessed by Geriatric Oral Health Assessment Index (GOHAI).
Results: The univariate analyses revealed that older adults with poor oral health indicators of dental caries, chewing ability, oral and maxillofacial pain, self-perceived oral health, and OHRQoL had lower cognitive levels. The stepwise logistic regression analysis observed that higher literacy level (OR=0.064, 95%CI=0.007, 0.567) and OHRQoL score (OR=0.920, 95%CI=0.878, 0.963) were negatively associated with the presence of MCI.
Conclusions:OHRQoL was found to be independently associated with MCI, implying that OHRQoL may be important in mitigating cognitive decline. The GOHAI scale can be used to more easily and reliably assess the oral health of older adults, which is important for the timely detection of poor oral conditions to delay cognitive decline. Medical workers should develop programs to improve the OHRQoL of older adults and improve the cognitive performance of those with poor OHRQoL.
Instrumental evidence for biodegradation of tannery fleshings during anaerobic digestion and proteolytic enzyme hydrolysate study
Authors: V Kavan Kumar , Mahendiran R. , Subramanian P. , Karthikeyan S. , Surendrakumar A 
Published: November 2022

Abstract
In the present study the evaluation of different instruments was conducted to check the chemical structure change and the contamination of the different treatments and the raw sample of tannery fleshings were checked in it. The thermogravimetric analysis (TGA) was conducted to check the loss of weight on thermal degradation, The Fourier Transform Infrared Spectrometry (FTIR) was carried to check the different functional groups like, -OH, -CH, -NH and C-O present in the samples of tannery fleshings at a wavelength of 400 – 4000 cm-1. The scanning electron microscope (SEM) and Energy Dispersive X-ray (EDAX) analysis carried out to check the morphological alterations in substrate, digestate, enzyme pretreated fleshings and the chemical composition of the different samples.
Assessment of glacial lake prone to glacial lake outburst flood using multi-criteria decision analysis (MCDA) in Changme Khangpu basin, Sikkim Himalaya, India
Authors: Rajak Rajeev , Ranjan Rakesh Kumar , Racoviteanu Adina , Lohar Sargam , Rai Krity , Baruah Bidyutjyoti , Angchuck Thupstan , Rai Anirudra , Sharma Khushboo , Gupta Aparna 
Published: November 2022

Abstract
Changme Khangpu (CK) basin is one of the major glaciated basins in Sikkim Himalaya with a high number of glacial lakes. A glacial lake inventory for the CK basin has been created using a semi-automated method based on Sentinel 2A images from the year 2020 and mapped 134 glacial lakes. Glacial lake outburst floods have emerged as a major concern in the Himalayan region in recent times. 20 glacial lakes were identified as being prone to GLOFs using a set of assessment parameters in the basin. We performed hazard and risk assessments for these glacial lakes using a multi-criteria decision analysis (MCDA) scheme using 13 consistent, exhaustive, and non-redundant criteria, categorized into triggering, mechanism, flood size, and impacts for assessing both the hazard as well as the risk associated with the glacial lakes for providing a comprehensive hazard and risk assessment. Based on this scheme, 14 lakes were categorized into the high-risk class and 6 lakes into the medium-risk class. MCDA scheme allows for assessing the risk scores associated with the glacial lakes by changing the threshold values of assessed criteria. Such sensitivity analysis done for the identified glacial lakes shows that even a slight change in the criteria values can significantly change the risk class of the lake. MCDA scheme can be applied at a regional scale across different lake types for the identification of potential GLOF hotspots and constant monitoring making it suitable for first order assessments.
Blind predictions using a hybrid of 1D multiple reflection theory/equivalent linear method and 3D FDM
Authors: hayakawa takashi , Satoh Toshimi , Oshima Mitsutaka , Fukutake Kiyoshi 
Published: November 2022

Abstract
We have participated in the blind predictions held in ESG6 and predicted the weak ground motions during the aftershock (BP2) of the 2016 Kumamoto earthquake sequence, and the strong ground motions during the foreshock and mainshock (BP3). First, broadband incident waves in the engineering bedrock at the target site (KUMA) were estimated. Then, the ground motions on the ground surface were predicted by the 1D linear analysis in BP2 and the equivalent linear analysis in BP3. Incident waves less than 0.5Hz were estimated by the 3D finite difference method using the 3D structure model. Ground motions during the target earthquakes have been recorded on the ground surface at the observation station EEB of Japan Meteorological Agency located 1.2km from KUMA. The incident waves in the engineering bedrock at EEB were estimated by the 1D linear analysis in BP2 and the equivalent linear analysis in BP3, and then the incident wave above 0.5Hz in the engineering base layer at KUMA were estimated by correcting with the hypocentral distance. The broadband incident waves at KUMA were synthesized by superposing the incident waves above 0.5Hz and below 0.5Hz. In BP2, the predictions were excessive from 3 to 6Hz. The reason was considered to be modeling error of velocity structure shallower than engineering bedrock of EEB. In particular, NS components became significantly excessive at 5Hz. The reason was considered to be the frequency response of the propagation path localized in EEB. In BP3, both foreshocks and mainshocks were underpredicted below 0.5 Hz and above 5 Hz, and overpredicted between 1.5 Hz and 3 Hz. The underestimation below 0.5Hz was considered to be mainly caused by the source model. The reason for the overprediction of 3Hz from 1.5 Hz was the possibility of underestimation of the lowering of the S-wave amplification at KUMA due to the nonlinear soil response. The overestimation and the underestimation of the reduction of the theoretical S-wave amplification due to the nonlinear soil responses in each of EEB and KUMA were considered to be responsible for the underprediction above 5 Hz. Compared with the predicted results of other participants, except for the overpredicted frequency range, our predicted results were almost within the average +/- standard deviation of the Fourier spectra predicted by the participants. For both the foreshock and mainshock, the average of the participants underpredicted the large Fourier spectrum around1 Hz, but this study reproduced it.
Non-fragile exponential synchronization of stochastic neural networks via impulsive control: An aperiodic intermittent technique
Authors: Zhuang Jiawei , Peng Shiguo , Peng Hao 
Published: November 2022

Abstract
This study aims to address the non-fragile exponential synchronization problem of stochastic neural networks (SNNs). To cut down unnecessary control costs, a novel aperiodic intermittent-based impulsive control (APIIC) is designed for the first time in this investigation. Besides, the randomly occurring gain fluctuation (ROGF) is considered in APIIC, which satisfies certain Bernoulli distributed white noise sequences. By exploiting the Lyapunov approach, some sufficient criteria are derived in terms of linear matrix inequalities, which imply that APIIC can achieve exponential synchronization of SNNs with and without ROGF. More intriguingly, a technical definition of aperiodic windows-based average impulsive interval is developed to cut back the conservativeness of these results, meanwhile, these results take into account both synchronizing impulses and desynchronizing impulses. At last, the effectiveness of our explored results is confirmed by several numerical examples.
Precise calculation of the optical constants of self-standing nanoporous silicon layers
Authors: Ramadan Rehab , Martín-Palma Raúl J. 
Published: November 2022

Abstract
The precise knowledge of the values of the optical constants (index of refraction, n, and extinction coefficient, k) for nanostructured porous silicon (nanoPS) is a necessary condition to predict the behavior of any optical and photonic devices based on this material. With this objective in mind, a simulation computational program based on the matrix method was used to determine the values of the optical constants in the visible range of self-standing nanoPS films from their experimental reflectance and transmittance spectra. Furthermore, the spectral absorption coefficient (α) was determined from the spectral k values, which motivated to the determination of the values and type of bandgap (direct or indirect) for different porosities
Development Parallel Distributed Numerical Approach for Securing Cryptocurrency Wallets
Authors: Moghaddam Mahdi Movahedian , Albakri Hossein , Parand Kourosh 
Published: November 2022

Abstract
Today, with the growth of cryptocurrencies, the importance of keeping them has increased. Wallets are one of the ways to keep cryptocurrencies safe. One of the techniques for securing cryptocurrency wallets is the use of multi-signature technique. This technique is based on a concept called secret sharing. In order to ensure the security of these wallets, the secret sharing scheme is used, which uses the Lagrange interpolation algorithm. This algorithm has a challenge in terms of time complexity, and in this research, we introduced two parallel approaches to reduce this time complexity based on graphical processor units (GPU) and distributed systems. In addition to reducing the time complexity, the distributed approach was able to help us increase the security of the algorithm. The speedup obtained from the execution on the interpolation of 16384 points in the GPU-based approach was equal to 45214 and in the distributed approach, in the execution resulting from 4 to 128 processes was equal to 7.81.
Loss of function ABCG2 c.421C&gt;A (rs2231142) polymorphism increases steady-state exposure to mycophenolic acid in stable renal transplant recipients: exploratory matched cohort study
Authors: Borić-Bilušić Ana , Božina Nada , Lalić Zdenka , Lovrić Mila , Nađ-Škegro Sandra , Penezić Luka , Barišić Karmela , Trkulja Vladimir 
Published: November 2022

Abstract
Introduction. Polymorphism ABCG2 c.421C > A (rs2231142) results in a reduced activity of the important drug efflux transporter breast cancer resistance protein (BCRP/ABCG2). One study suggested that it may affect enterohepatic recirculation of mycophenolic acid (MPA). We evaluated the effect rs2231142 on steady-state exposure to MPA in renal transplant recipients. Methods. Consecutive, stable adult (age ≥ 16 years) renal transplant recipients on standard MPA-based immunosuppressant protocols (N = 68, 43 co-treated with cyclosporine, 25 with tacrolimus) underwent routine therapeutic drug monitoring after a week of initial treatment, and were genotyped for ABCG2 c.421C > A and 11 polymorphisms in genes encoding enzymes and transporters implicated in MPA pharmacokinetics. ABCG2 c.421C > A variant vs. wild-type (wt) patients were matched in respect to demographic, biopharmaceutic and genetic variables (full optimal combined with exact matching) and compared for dose-adjusted steady-state MPA pharmacokinetics (frequentist and Bayes [skeptical neutral prior] estimates of geometric means ratios, GMR). Results. Raw data (12 variant vs. 56 wt patients) indicated by around 40% higher total exposure (frequentist GMR = 1.45, 95%CI 1.10–1.91; Bayes = 1.38, 95%CrI 1.07–1.81) and by around 30% lower total body clearance (frequentist GMR = 0.66, 0.58–0.90; Bayes = 0.71, 0.53–0.95) in variant carriers than in wt controls. The estimates were similar in matched data (11 variant vs. 43 wt patients): exposure GMR = 1.41 (1.11–1.79) frequentist, 1.39 (1.15–1.81) Bayes, with 90.7% and 85.5% probability of GMR > 1.20, respectively; clearance GMR = 0.73 (0.58–0.93) frequentist, 0.71 (0.54–0.95) Bayes. Sensitivity analysis indicated high unsusceptibility of the estimates to unmeasured confounding. Conclusions. Loss-off-function polymorphism ABCG2 c.421C > A increases steady-state exposure to MPA in stable renal transplant patients.
The influence of the BDNF Val66Met genotype on emotional recognition memory in post-traumatic stress disorder
Authors: Nicholson Emma L , Garry Michael , Ney Luke J , Hsu Ken Chia Min , Zuj Daniel V. , Felmingham Kim L. 
Published: November 2022

Abstract
Dysregulated consolidation of emotional memories is a core feature of posttraumatic stress disorder (PTSD). Brain Derived Neurotrophic Factor (BDNF) influences synaptic plasticity and emotional memory consolidation. The BDNF Val66Met polymorphism has been associated with PTSD risk and memory deficits respectively, although findings have been inconsistent, potentially due to a failure to control for important confounds such as sex, ethnicity, and the timing (child/adult) and extent of previous trauma experiences. Furthermore, very little research has examined the impact of BDNF genotypes on emotional memory in PTSD populations. This study investigated the interaction effects of the BDNF Val66Met genotype and PTSD symptomatology in an emotional recognition memory task in 234 participants. Key findings revealed impaired negative recognition memory in PTSD (n=44) compared to Control (n=85) and trauma exposed (n=105) groups and in participants with the Val/Met compared to the Val/Val genotype. There was a group x genotype interaction driven by the lack of impairment in the TE group with the Val/Met genotype. Results suggest that people previously exposed to trauma who do not develop PTSD may be protected from the BDNF Met effect, however more research is needed to replicate findings and to explore the relevant epigenetic and neural processes involved.
The Impact of Home Motor Affordances on Motor Skills of Children Born Preterm
Authors: Bakhshinezhad Behnaz , Shojaei Masomeh , Daneshfar Afkham , Orangi Behzad Mohammadi , Gabbard Carl 
Published: November 2022

Abstract
Background: Children born preterm at generally considered at-risk for a multitude of physical impairments. This study examined the relationship between a sample born preterm, the availability of home motor affordances, and level of motor development.
Method:The sample consisted of 103 children born preterm and assessed between the ages of 18- to 42 months using two parent self-reports: the Affordances in the Home Environment for Motor Development(AHEMD), and the Ages and Stages Questionnaires (ASQ-3) for level of motor skill development.
Results:Overall AHEMD scores revealed three distinct groups (Group 3 provided the greatest level of affordances). Significant group differences were revealed for fine-motor (FM) and gross motor (GM) skills with Group 3 better than the other two groups and Group 2 better than Group 1. According to regression results, the total AHEMD score predicted 51% of FM ability and 43% of GM behavior.
Conclusions:The level of home motor affordances had a significant impact on the motor development of this sample of children born preterm. With that said, comparisons to general norm data suggest that these children still need special attention, especially with gross motor skill development.
Testing Quantised Inertia on the Bending of Light by the Sun.
Authors: McCulloch Michael 
Published: November 2022

Abstract
This paper applies a new cosmological theory of inertia, called quantised inertia (QI) to the dynamics of light in gravitational fields. It is shown for the first time that QI correctly predicts the observed bending of light by the Sun and the Shapiro time delay. It is also argued that QI provides a simpler and more testable mechanism than standard general relativity since Unruh radiation can be, and has been, directly observed, but a metric of space cannot.
Identification of the role of immune-related genes in the diagnosis of bipolar affective disorder with metabolic syndrome through machine learning and comprehensive bioinformatics analysis
Authors: Feng Yu , Shen Jing 
Published: November 2022

Abstract
Background
Bipolar affective disorder and metabolic syndrome are both associated with the expression of immune disorders. The current study aims to find the effective diagnostic candidate genes for bipolar affective disorder with metabolic syndrome.
Methods
A validation data set of bipolar disorder and metabolic syndrome was provided by the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were found utilizing the Limma package, followed by weighted gene co-expression network analysis (WGCNA). Further analyses were performed to identify the key immune-related center genes through function enrichment analysis, followed by machine learning-based techniques for the construction of protein-protein interaction (PPI) network and identification of the Least Absolute Shrinkage and Selection Operator (LASSO) and Random Forest (RF). The receiver operating characteristic (ROC) curve was plotted to diagnose bipolar affective disorder with metabolic syndrome. To investigate the immune cell imbalance in bipolar disorder, the infiltration of the immune cells was developed.
Results
There were 2289 DEGs in bipolar disorder, and 691 module genes in metabolic syndrome were identified. The DEGs of bipolar disorder and metabolic syndrome module genes crossed into 129 genes, so a total of 5 candidate genes were finally selected through machine learning. The ROC curve results-based assessment of the diagnostic value was done. These results suggest that these candidate genes have high diagnostic value.
Conclusion
Potential candidate genes for bipolar disorder with metabolic syndrome were found in 5 candidate genes (AP1G2、C1orf54、DMAC2L、RABEPK and ZFAND5), all of which have diagnostic significance.
LUAD BALF Exosomal miR-183-5p promoted the metastasis of NLCSC
Authors: Liu Ziyu , Zhang Ying 
Published: November 2022

Abstract
(1) Background: Lung adenocarcinomas (LUAD) are the predominant lung non-small cell cancer subtype (NSCLC), accounting for approximately 50%. miR-183-5p from LUAD exosomes could promote the migration of LUAD and become a potential biomarker for LUAD;
(2) Methods: Exosomes are enriched from LUAD BALF and A549 cancer cells to identify the role of miR-183-5p in LUAD by transmission electron microscopy, particle size analysis, and fluorescence microscope. TCGA and gene set enrichment analysis (GSEA) data sets are used to analyze the expression of miR-183-5p. q-PCR and Western blot are performed to the existence and the target of miR-183-5p. Wound healing and Transwell assays are conducted to explore the function of miR-183-5p in LUAD;
(3) Results: We identify the particle size of BALF exosomes in LUAD patients and control groups through NTA and find BALF exosomes in LUAD patients promote the invasion and migration of LUAD cells and EMT process through Wound healing and Transwell assays. The analysis of sequencing data and the mining of TCGA data show that miR-183-5p is highly expressed in LUAD tissue and blood. It is further verified by q-PCR that compared with the control group, the expression of miR-183-5p in BALF secretion of LUAD patients is also upregulated. Furthermore, miR-183-5p could promote the migration of A549 cells and inhibit the expression of PTEN, as well as the BALF exosomes from LUAD patients through Wound healing and Transwell experiments;
(4) Conclusions: LUAD BALF exosomes can promote the migration and EMT process of A549 cells by up-regulated miR-183-5p, which targets PTEN through exosome transport.
Everolimus combined with PD-1 blockade inhibits progression of triple-negative breast cancer
Authors: Li Guangxin , Hu Jiajia , Cho Christina , Cui Junwei , Li Ao , Ren Pengwei , Zhou Jichun , Wei Wei , Zhang Tianxiang , Liu Xiaoling 
Published: November 2022

Abstract
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer. Due to rapid progression and a lack of targetable receptors, TNBC is exceptionally difficult to treat. Available treatment options are nonspecific cytotoxic agents, which have had modest success; thus, there is a need for novel therapies for TNBC. The mammalian/mechanistic target of rapamycin (mTOR) signaling pathway is aberrantly activated in TNBC, and this pathway has been shown to promote cancer cell survival and chemoresistance. As such, mTOR inhibition has been considered a potential therapeutic strategy for TNBC. The mTOR inhibitor everolimus (EVE) has been approved for the treatment of estrogen positive breast cancer; however, its efficacy in TNBC is still undetermined. In this study, we evaluated the effects of EVE monotherapy and the mechanism of EVE resistance in the 4T1 model of TNBC. Whereas EVE monotherapy inhibited mTOR signaling activity, it did not attenuate tumor progression. Additionally, tumors from EVE-treated mice had abnormal vasculature characterized by disorganized architecture and hyperpermeability. We also found that treatment with EVE increased PD-L1 expression in intratumoral vascular endothelial cells, and this increase in endothelial cell-associated PD-L1 corresponded to reduced CD8+T cell tumor infiltration. Importantly, combination treatment with anti-PD-1 antibody and EVE normalized the tumor vasculature, rescued CD8+T cell tumor infiltration, and reduced tumor growth. Taken together, our findings improve our current understanding of mechanisms underlying mTOR inhibition resistance in TNBC and identify a novel combination treatment strategy in the treatment of mTOR resistant tumors.