bluuebunny/crossref_metadata_2025_split huggingface dataset:
The association between the red cell distribution width and mortality in elderly patients with non- traumatic coma: a retrospective observation study
Authors: Kim Dong Ki , Lee Ji Ho , Lee Dong Hun , Lee Byung Kook , Ko Sang Won 
Published: July 2023

Abstract
Background
Elevated red blood cell distribution width (RDW) can be associated with disease severity. However, studies on RDW for the prognosis of elderly patients with non-traumatic coma (NTC) are lacking. This study aimed to examine the relationship between RDW and prognoses in elderly patients with NTC.
Methods
This retrospective observational study included elderly patients (≥ 65 years) with NTC between January 2022 and December 2022. We measured RDW upon patient arrival to the emergency department (ED). We conducted a multivariate analysis using logistic regression of relevant covariates to predict in-hospital mortality. Survival curves based on 30-day mortality were designed using the Kaplan–Meier method. The primary outcome was in-hospital mortality, and the secondary outcome was 30-day mortality.
Results
A total of 689 patients were included in the study, and in-hospital mortality was 29.6% (n = 204). Our results found that the RDWs of non-survivors were significantly greater than those of survivors (14.6% vs 13.6%). Multivariable analysis showed that RDWs at ED arrival were independently associated with in-hospital mortality (odds ratio, 1.130; 95% confidence interval, 1.050–1.216; P < 0.001). The Kaplan–Meier curve indicated that the survival probability of patients with a low RDW was greater than those with a high RDW.
Conclusions
Having a high RDW at ED arrival was associated with in-hospital mortality in elderly patients with NTC.
Microwave combustion synthesis of La 1-x Gd x FeO 3 (x=0 to 0.25) nanoparticles: structural, magnetic, vibrational, morphology, and optical behavior
Authors: S Yuvaraj , A Roniboss , Kumar Anuj , Ubaidullah Mohd , R.S. RimalIsaac , M. Sundararajan , V Ravi , Prakesh Chander , Pandit Bidhan , N Senthilkumar , S. Sehgal Satbir 
Published: July 2023

Abstract
La1 − xGdxFeO3 (x = 0 to 0.25) nanoparticles are prepared by microwave combustion process (MCP) with L-alanine as a fuel. The synthesized samples are confirmed by different instrumental characterization for evaluating the nanostructured materials such as XRD, TEM, SAED, XPS, FE-SEM, EDX, FTIR, DRS-UV and VSManalysis.XRD and FT-IR are confirmed that lanthanum ferrite was orthorhombic structure with average crystallite size ranged ̴ 57.8 to 37.9 nm. The energy gap values were estimated using UV-vis spectra and it is in the range between 2.17 and 2.43 eV. The elements like Gd, La, Fe and O are present in EDX and XPS analysis. FE-SEM images reveal aggregated spherical morphology. VSM analysis are shows strong ferro magnetic behavior of La1−xGdxFeO3 nanoparticles. The Ms and Mr values are in the range between1.06 to 1.71and 1.94 to 6.53 emu/g for La1−xGdxFeO3 respectively.
Effects of matcha tea extract on cell viability and estrogen receptor β expression on MCF7 breast cancer cells
Authors: Keckstein Simon , Tilgener Constantin , jeschke udo , Hofmann Simone , Vilsmaier Theresa , Keilmann Lucia , Heidegger Helene , Kaltofen Till , Batz Falk , Mahner Sven , Schröder Lennard 
Published: July 2023

Abstract
Purpose:
In the following work, we investigated the effect of matcha green tea extract (MTE) on MCF-7 breast cancer cell viability and estrogen receptor beta expression (ERβ).
Methods:
MCF-7 cells were stimulated with MTE at concentrations of 5 and 10 µg/ml. Cell viability was assessed using a WST-1 assay after an incubation time of 72 h. ERβ was quantified at gene level by real-time polymerase chain reaction (PCR). A western blot (WB) was carried out for the qualitative assessment of the expression behavior of on a protein level.
Results:
The WST-1 test showed a significant inhibition of viability in MFC-7 cells after 72 h at 10 µg/ml. The WB demonstrated a significant quantitative decrease of ERβ at protein level with MTE concentrations of 10 µg/ml. In contrast the PCR did not result in significant downregulation of ERβ.
Conclusion:
MTE decreases the cell viability of MCF-7 cells and furthermore leads to a decrease of ERβ at protein level.
Niosomal Hesperidin Attenuates the M1/M2-Macrophage Polarization-Based Hepatotoxicity Followed Chlorpyrifos -Induced Toxicities
Authors: Sharifnia Mahsa , Eftekhari Zohre , Mortazavi Pejman 
Published: July 2023

Abstract
Purpose: The organophosphate pesticide chlorpyrifos (CPF) can cause developmental , neurological deficiencies , and mitochondria-mediated oxidative stress responses. In this study, the effect of niosomal hesperidin (Nio+Hesp) on the polarization of M1-M2 liver macrophages and the amount of inflammatory cells secretion in the brain, liver, and ovary tissues of CPF induced mice (3 mg/kg for 4 weeks; Intraperitoneally) was investigated.
Methods: Fourty C57 mice were divided into CPF, Sham, CPF+Hesp, and CPF+Nio+Hesp groups and treated carried out orally for 30 days. The activity of superoxide dismutase (SOD) and malondialdehyde (MDA), tissue changes, inflammation, and apoptosis in brain, liver, and ovary tissues, the number of ovarian germ cells , and M1-M2 liver macrophage polarization were evaluated by examining the expression of CD163and CD68 genes.
Results: Nio+Hesp prescription caused an increase in SOD and a decrease in MDA. Nio+Hesp decreased the amount of cell apoptosis in the liver, also reduced the expression of CD163 and CD68genes. Although there was a significant difference between Hesperidin and Nio+Hesp in the increase of Graafian follicles, corpus luteum, and peri-antral follicles, no substantial difference was observed in primary follicles in the uterus. Both Nio+Hesp and Hesp alleviated CPF-induced hepatotoxicity, however, Nio+Hesp was superior to Hesp in downregulation of the CD163 and CD68genes expression.
Conclusion: The ameliorative effects of HSP and Nio+Hesp may be at least in part due to their antioxidant and anti-inflammatory properties. By attenuating, Nio+Hesp may have therapeutic applications for reversing CPF-induced toxicity as an appropriate antioxidant effects.
Deep-learning-based automated detection and assistance in the diagnosis of early dental carious lesions
Authors: Portella Paula Dresch , de Oliveira Lucas Ferrari , Ferreira Mateus Felipe de Cássio , Dias Bruna Cristine , de Souza Juliana Feltrin , Assunção Luciana Reichert da Silva 
Published: July 2023

Abstract
Objective
To investigate the effectiveness of a convolutional neural network (CNN) in the detection of healthy teeth and early carious lesions on occlusal surfaces, and to assess the applicability of this deep-learning algorithm as an aid in the diagnosis of dental caries.
Materials and Methods
A total of 2,481 posterior teeth (2,459 permanent and 22 deciduous teeth) with varying stages of carious lesions were classified according to the International Caries Detection and Assessment System (ICDAS). After clinical evaluation, ICDAS 0 and 2 occlusal surfaces were photographed with a professional digital camera. VGG-19 was chosen as the CNN and the findings were compared with those of a reference examiner to evaluate its detection efficiency. To verify the effectiveness of the CNN as a diagnostic aid, three examiners (an undergraduate student (US), a newly graduated dental surgeon (ND), and a specialist in pediatric dentistry (SP) assessed the acquired images (Phase I). In Phase II, the examiners reassessed the same images using the CNN-generated algorithms.
Results
The training dataset consisted of 8,749 images, whereas the test dataset included 140 images. VGG-19 achieved an accuracy of 0.879, sensitivity of 0.827, precision of 0.949, and F1-score of 0.887. In Phase I, the accuracy rates for examiners US, ND, and SP were 0.543, 0.771, and 0.807, respectively. In Phase II, the accuracy rates improved to 0.679, 0.886, and 0.857 for the respective examiners. The number of correct answers was significantly higher in Phase II than in Phase I for all examiners (McNemar test;P < 0.05).
Conclusions
VGG-19 demonstrated satisfactory performance in the detection of early carious lesions and as a diagnostic aid.
Clinical relevance:
Automated detection of early carious lesions by deep-learning algorithms is an important aid in the early diagnosis of the disease, as it minimizes subjective assessments by different examiners, enabling quicker and more reliable clinical decision-making.
Cannabis use is associated with pain severity and interference among cancer survivors
Authors: Nugent Shannon M. , Latour Emile , Lim Jeong , Shannon Jackilen , Morasco Benjamin J. 
Published: July 2023

Abstract

Context: Cannabis use for symptom management among individuals with cancer is increasingly common. Objectives We sought to describe the 1) prevalence and characteristics of cannabis use, 2) perceived therapeutic benefits of cannabis use, and 3) examine how use of cannabis was associated with self-reported pain, mood, and general health outcomes among a representative sample of patients treated at NCI designated OHSU Knight Cancer Institute. Methods We conducted a population-based, cross-sectional survey developed in conjunction with 11 other NCI designated cancer centers and distributed to eligible individuals. The survey inquired about characteristics of cannabis use, perception of therapeutic benefits, pain, mood, and general health. Responses were population weighted. We examined the association of cannabis use with self-reported pain, mood, and general health using logistic regression controlling for relevant sociodemographic and clinical characteristics. Results 523 individuals were included in our analytic sample. 54% endorsed using cannabis at any time since their cancer diagnosis and 42% endorsed using cannabis during active treatment. The most endorsed reasons for use included: sleep disturbance (54.7%), pain (47.1%), and mood (42.6%). We found moderate pain was associated with more than a 2-fold (OR = 2.4 [95% CI = 1.3–4.6],p = 0.002) greater likelihood of self-reported cannabis use. Depressed mood or general health were not associated with cannabis use. Conclusions In a state with medical and recreational cannabis legislation, a high number of cancer survivors report cannabis use. Those with pain were more likely to use cannabis. Oncologists should be aware of this trend and assess use of cannabis when managing long-term symptoms of cancer and its treatments.
Fabrication of 3D Printed Hollow Spheres for QC and Feasibility for Use With xSPECT Bone
Authors: Lam Tuyet Oanh , Young Andy 
Published: July 2023

Abstract

Quantitative accuracy and constancy of Siemens xSPECT Bone quantitative reconstruction algorithm (xBone) can be monitored using activity-filled hollow spheres, which could be 3D printed (3DP-S) and increases accessibility to phantoms. One concern is that 3D prints can have air gaps in the walls which may pose issues for attenuation correction and xBone tissue zone mapping. This study assessed the feasibility of using 3DP-S with materials PLA, PETG and Resin as substitutes for commercial hollow spheres (C-S). Phantom preparation and acquisition parameters were based on the white paper. A Jaszczak phantom was fitted with six 99mTc- and contrast-filled 3DP-S. SPECT/CT acquisitions were performed on the Siemens Intevo T6 and reconstructed with xBone. Regions-of-interest for activity concentration measurements were drawn to the internal diameter of the spheres. PLA and PETG printed via filament freeform fabrication resulted in minute air gaps mainly at steep overhang however did not impact xBone zone maps. Activity concentration recovery of the 3DP-S were within +/-5% of C-S when sufficient projection angles are used. Resin printed via masked stereolithography experienced minor resin pooling and increased wall thickness – the smallest sphere was not usable. Resin printing achieved the best watertightness and transparency. PLA and PETG were most affordable but was labour intensive in construction. PLA performed best overall in print reproducibility and quantitative accuracy. Similarly printed hollow spheres can be used for quality control of xBone accuracy where C-S are not available. While 3D printing increases accessibility to phantoms, close oversight is required of printing conditions.
Construction and operation of an ophthalmic day-care ward in a general hospital
Authors: Cao Juan , Zhang Yeran , Huang Xiaoyun , Chen Dandan , Weng Jie , Yuan Songtao 
Published: July 2023

Abstract
Purpose
We aim to discuss the construction, operation, and prospects of ophthalmic day-care wards in general hospitals and to provide a reference for the management of ophthalmic day-care wards.
Methods
Nursing staff with clinical experience were arranged to participate in the construction of ophthalmic day-care ward, including the ward layout, staff training, and management. WeChat groups were set up to promote health awareness. Clinical information was collected from patients who had ophthalmic day surgeries at our hospital between January and December 2021. All patients had standard medical procedures for admission, treatment, and health education. The incidence of adverse events, age distribution, disease types, and reasons for canceling surgeries were analyzed to evaluate the operation of ophthalmic day-care wards.
Results
A total of 4,830 patients were admitted between January and December 2021. Cataract accounted for the largest proportion of disease types (89.4%). 61.45% of patients were aged between 61 and 80. No medical adverse events, such as information error, iatrogenic injury, equipment failure, and medication error occurred.
Conclusion
The keys to a well-functioning ophthalmic day ward are 1. management by nursing staff with adequate clinical experience; 2. emphasis on health awareness; 3. pre-operative preparation and assessment 4, standard medical procedures for admission, treatment, and health education. Day-care wards are high-quality and low-cost, which will benefit ophthalmic patients and be a useful addition to the medical field.
Lombard effect – is it a remedy for speech communication in noisy environments?
Authors: Korvel Gražina , Kąkol Krzysztof , Treigys Povilas , Kostek Bożena 
Published: July 2023

Abstract
The aim of this study is to address the question of whether the Lombard effect, either natural (an involuntary tendency to raise the uttered speech level in the presence of background noise) or synthetically created, is a remedy for speech communication in noise. To this end, a series of experiments to examine the interference of different noises in synthesizing the Lombard effect is performed. Several steps are proposed; first, a recording session is carried out to prepare a dataset of speech with and without the Lombard effect in a controlled environment. Then, we detect frequency changes at each time point on the 2D speech representation. Determining frequency tracks in a speech signal is performed using McAulay and Quartieri algorithm. To quantify the effect of noise on speech, containing the Lombard effect, an average formant track error is calculated as an objective image quality metric. Three image assessment measures, i.e., SSIM (Structural SIMilarity) index, RMSE (Root Mean Square Error), and dHash (Difference Hash), are employed for that purpose. Moreover, several spectral descriptors are analyzed in the context of Lombard speech and various types of noise to discuss their influence on speech. The investigations are concluded with an initial attempt at automatic noise profiling based on the method developed, followed by pitch modifications of neutral speech signal depending on the profiling result and frequency change trends obtained. An overlap-add synthesis in the STRAIGHT vocoder is used for synthesized speech.
In vitro replication system mediated by NIb of Potato virus Y
Authors: Fu Jiayu , Li Zichen , Liu Minjun , Geng Guowei 
Published: July 2023

Abstract
Potato virus Y (PVY) is a serious global virus. At present, PVY are mainly focused on strain analysis and protein interaction with host, but independent studies on PVY replication in vitro are still weak, the main problem is that there is no independent in vitro replication system for PVY. This study was focused on the creation of in vitro replication system mediated by NIb of PVY. The optimal expression concentration of MBP-NIb is 0.2 mM by the IPTG gradient experiment. Based on the solubility analysis, it is suggested that 37℃ is feasible and the soluble ratio of MBP-NIb is about 10%, which is enough for following affinity chromatography against MBP-tag. The purified MBP-NIb can specifically recognize the 3' terminal region of PVY plus or minus strand and perform in vitro replication. This is the first time that an in vitro replication system for PVY has been established. This in vitro replication system will facilitate the study of mechanism on PVY replication.
The Influence of Agricultural Industrial Organization Model on Farmers' Planting Income——Analysis Based on Survey Data of 2032 Wheat Growing Households in Anhui Province
Authors: Zhang Xinde , Wan Xiaoyu , Liu Pengling 
Published: July 2023

Abstract
Increasing grain farmers' income is essential to mobilize their enthusiasm. Based on the survey data of 2032 wheat growers in Anhui Province, China, this paper uses the Logit model, multinomial Logit model and entropy balance-OLS regression method to empirically analyze the influencing factors of wheat growers' participation in agricultural industrial organization mode and the impact of their participation in decision-making on planting income. The research found that: (1) The richer the resource endowment of wheat growers, the higher the probability of their participation in the agricultural industrial organization model. The householder's education level, training experience, family-cultivated land quality, operation scale and labour endowment are essential factors influencing the wheat growers' participation in the decision-making of industrial organization mode. (2) The participation of wheat growers in agricultural industrial organizations can significantly improve their income. In comparison, the income increase effect of industrial organizations participating in the "smallholder farmer + farmer cooperatives / agricultural enterprises" model is more obvious. (3) There are differences in the influence mechanism of wheat growers' participation in different agricultural industrial organization models on their planting income. The income growth effect of wheat growers participating in the industrial organization of "smallholder farmer + farmers cooperatives / agricultural enterprises" model mainly comes from the improvement of land productivity and market bargaining power. The income growth effect of participating in the industrial organization of "smallholder farmer + village collectives + farmers cooperatives / agricultural enterprises" model mainly comes from the improvement of market bargaining power. The policy implication is that the government should give priority to cultivating and developing the industrial organization of the "smallholder farmer + farmers cooperatives / agricultural enterprises" model in areas with rich resource endowments of farmers, and supplement the development of the "smallholder farmer + village collectives + farmers cooperatives / agricultural enterprises" model depends on different local conditions, and actively guide farmers to participate.
Analysis of weakly correlated nodes in market network
Authors: Semenov Dmitry , Koldanov Alexander , Koldanov Petr 
Published: July 2023

Abstract

The aim of the article is to analyze graphs of weakly correlated stockreturns. The characteristics of these graphs such as number of edges, his-togram of vertices degrees, degrees distribution, hubs and independentsets are investigated. Pearson correlation and Kendall correlation areused to construct these graphs. Graph constructed by traditional proce-dure and graph constructed by Holm procedure are compared. Obtainedresults are exemplified on the data of France stock market. In particular itis shown that reliable maximum independent sets contain very few nodesdespite from the big size of set of weakly correlated pairs of stock returns.
Generic and accurate prediction of retention times in liquid chromatography by post-projection calibration
Authors: Liu Fei , Zhang Yan , Li Xiu Qin , Gao Yan , Li Kang Cong , Zhang Qing He 
Published: July 2023

Abstract
Retention time predictions from molecule structures in liquid chromatography (LC) are increasingly used in MS–based targeted and untargeted analyses, providing supplementary evidence for molecule annotation and reducing experimental measurements. Nevertheless, different LC setups (e.g., differences in gradient, column, and/or mobile phase) give rise to many prediction models that can only accurately predict retention times for a specific chromatographic method (CM). Here, a generic and accurate method is present to predict retention times across different CMs, by introducing the concept of post–projection calibration. This concept builds on the direct projections of retention times between different CMs and uses 33 external calibrants to eliminate the impact of LC setups on projection accuracy. Results data shows that after calibration, the median prediction error for each CM was in all cases below 3.8%. The number of true identities ranking first among their isomeric candidates increased by 11.1 to 113.3%. This work opens up broad possibilities for coordinating retention times between different laboratories and developing extensive retention databases.
Taking SCFAs produced by Lactobacillus reuteri orally reshapes gut microbiota and elicits antitumor responses
Authors: Li Nannan , Liu Yao , Niu LiLi , Wang Yang , Su Xiaomin , Xu Ce , Sun Zanya , Guo Huishu , Lu Huiping P. , Shen Shun 
Published: July 2023

Abstract

Background Colorectal cancer (CRC) incidence is increasing in recent years due to intestinal flora imbalance, making oral probiotics a hotspot for research. However, numerous studies related to intestinal flora regulation ignore its internal mechanisms without in-depth research.
Results Here, we developed a probiotic microgel delivery system (L.r@(SA-CS)2) through the layer-by-layer encapsulation technology of alginate (SA) and chitosan (CS) to improve gut microbiota dysbiosis and enhance anti-tumor therapeutic effect. Short chain fatty acids (SCFAs) produced by L.r have direct anti-tumor effects. Additionally, it reduces harmful bacteria such as Proteobacteria and Fusobacterium, and through bacteria mutualophy increases beneficial bacteria such as Bacteroid and Firmicutes, which produce butyric acid. By binding to the G protein-coupled receptor 109A (GPR109A) on the surface of colonic epithelial cells, butyric acid can induce apoptosis in abnormal cells. Due to the low expression of GPR109A in colon cancer cells, MK-6892 (MK) can be used to stimulate GPR109A. With increased production of butyrate, activated GPR109A is able to bind more butyrate, which further promotes apoptosis of cancer cells and triggers an antitumor response.
Conclusion It appears that the oral administration of L.r@(SA-CS)2 microgels may provide a treatment option for CRC by modifying the gut microbiota.