bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship between oral health and depression: data from the National Health Survey
Authors: Palomer Tomás , Ortuño Duniel , Ramirez Valeria 
Published: September 2023

Abstract
Objective
To evaluate the relationship between oral health status, self-perception of oral health, and depression.
Methods
This cross-sectional study included 2953 individuals that were ≥ 18 years of age and participated in the Chilean National Health Survey (NHS), 2016–2017. Information on oral, dental, and mental health, and the presence or absence of depressive symptoms was collected. Secondary data analysis was carried out using STATA and included logistic regression models adjusted for sex, age, and educational level. All expansion factors were taken into consideration.
Results
Participants experiencing frequent dental or prosthesis-related discomfort while eating (odds ratios (OR): 1.58; 95% confidence intervals (CI): 0.99–2.54) or speaking (OR: 1.57; 95% CI: 1.01–2.43) were at a higher risk of exhibiting suspected depression compared to those who did not experience these difficulties. The odds (OR: 1.18; 95% CI: 0.65–2.16) of having been diagnosed with depression in the past 12 months were also higher among participants experiencing frequent dental or prosthesis-related discomfort. Removable upper denture users were at a higher risk of exhibiting suspected (OR: 2.04; 95% CI: 1.11–3.74) compared to those that did not use them. Participants diagnosed with depression in the past 12 months had a slightly lower number of teeth (median = 24) compared to those without depression (median = 25), although this difference was not statistically significant (OR: 0.99; 95% CI: 0.96–1.02).
Conclusion
Experiencing dental or prosthesis-related difficulties in in eating, speaking, and social interactions is associated with an increased risk of suspected depression or a diagnosis of depression. These findings highlight the importance of developing comprehensive healthcare approaches that consider mental health in the context of oral health.
Detection of Indian isolates of soil borne and tuber borne Ralstonia solanacearum (Smith) infecting Potato (Solanum tuberosum L.) through LAMP assay
Authors: T ARCHANA , A Kamalakannan , C GOPALAKRISHNAN , I JOHNSON , L RAJENDRAN , S Varanavasiappan , S RAJESH , P THAMARAISELVI S 
Published: September 2023

Abstract
Bacterial wilt caused by Ralstonia solanacearum, is one of the most notorious plant diseases of potato and causes severe yield losses globally. R. solanacearum produce fluidal white colored colonies with a light pink centre on CPG medium. Bacterial wilt pathogen is a soil as well as tuber borne, so earlier detection of bacterial wilt pathogen is necessary to take up timely management practices. Traditional methods used for detection of R. solanacearum are labor-intensive, expensive, time-consuming and can be carried out only in well-equipped laboratories. Hence, the present study was aimed to develop a loop-mediated isothermal amplification (LAMP) assay for R. solanacearum, as an alternative approach for quick and efficient detection of the bacterial wilt. LAMP reaction mix was optimized by adjusting the concentrations of MgSO4, dNTPs, betaine, time, temperature etc. The optimum temperature and time for the detection of R. solanacearum was 65°C for 50 minutes. The positive samples showed colour change from violet and reconfirmed in 2% agarose gel electrophoresis which produced ladder like bands. The LAMP assay developed was highly specific to detect R. solanacearum from other bacteria and sensitive with a lowest detection limit of 10 pg/µl of template DNA. The developed LAMP assay was validated with R. solanacearum isolates, infected stem, tubers and soil and also it was capable of detecting latent infection of R. solanacearum in seed tubers. Hence, LAMP assay protocol provides a rapid, specific and sensitive tool for the latent detection of R. solanacearum in seed potato tubers.
Impacts Investigation of Gas Barrier on Effective Thermal Conductivity and Service Life of Vacuum Insulation Panel
Authors: Shi Mingxiao , Yang Lixia , Chen Zhaofeng , Kan Ankang , Zhang Jiaxiang 
Published: September 2023

Abstract
Vacuum Insulation Panels (VIPs) are highly efficient thermal insulation materials with extremely low thermal conductivity based on the vacuum principle. With the sealing properties of the gas barrier envelopes, long service life of the VIP is obtained. The mechanism and influence factors of gas and water vapor permeability were mathematically analyzed to explore the influence of gas barrier envelopes on the thermal performance of VIPs. Three typical gas barriers were studied and the selection of the gas barrier and other aspects of optimization were involved. The relationships among temperature, humidity, solubility coefficient, diffusion coefficient, and permeability were concluded, which shows that temperature has a much greater effect on the permeability of the gas barrier relative to humidity. The numerical analysis and influencing factors of VIPs’ service life were also exemplified with three different types of gas barrier envelopes. The experimental results show that depending on the environment, the temperature has a major impact on the effective thermal conductivity and service life of VIP. The research was significant in the selection of gas barriers, the optimization of the performance, and the development of vacuum insulation material༎
Protective effect of Inonotus obliquus polysaccharide on fibroblasts after MGO-induced nonenzymatic glycation
Authors: Chen Chunyu , Liu Xiaoxing , Li Li , Guo Miaomiao , He Yifan , Dong Yinmao , Meng Hong , YI Fan 
Published: September 2023

Abstract
Background
Nonenzymatic glycation of fibroblasts causes functional downregulation and behavioral disorders in skin.
Methods
To investigate the effect of Inonotus obliquus on the nonenzymatic glycation of skin, we examined advanced glycation end product (AGE) inhibition by four extract fractions: n-butanol, ethyl acetate, n-hexane and aqueous alcoholic precipitation. The physical properties and chemical structure of the most effective, purified, crude I. obliquus polysaccharide (IOP) were examined. The effects of IOP on carboxymethyl lysine (CML) accumulation, inflammatory factor release, reactive oxygen species (ROS) production, key extracellular matrix (ECM) protein (MMPs 1, 2 and 9, FN-1, LM-5 and COL-1) mRNA expression and cell survival, migration and adhesion were examined by cellular assays.
Results
The results showed that IOP is a polysaccharide with a molecular weight Mw of 2.396×104 (± 6.626%), which is mainly composed of glucose, galactose, xylose, mannose and arabinose (29.094:21.705:14.857:9.375:7.709). In addition, the results of cellular anti-glycation assay showed that IOP had strong anti-glycation activity in the range of 6–24 µg/mL, which could promote ECMs by inhibiting the accumulation of CML, inhibit the release of inflammatory factors (IL-1β, IL-6, and TNF-α), inhibit the production of reactive oxygen species (ROS), and inhibit the expression of matrix metalloproteinase (MMP-1\-2\-9), and promote the ECMs (COL1, FN1, LM5) protein synthesis, and improve cellular dysfunction.
Conclusion
The IOPs effectively reduced the levels of inflammatory factors and reactive oxygen species caused by AGEs, further prevented the impairment of cell behaviour (decreased migration levels, reduced cell adhesion) and prevented the downregulation of expression of key extracellular matrix proteins due to AGEs. The results indicate the potential application of IOPs as AGE inhibitors in skin care.
Two-dimensional high resolution electron properties of femtosecond laser-induced plasma filament in atmospheric pressure argon
Authors: Bak Junhwi , Rincon Gerardo Urdaneta , Pokharel Sagar , Miles Richard , Tropina Albina 
Published: September 2023

Abstract
This work reports the measurement of two-dimensional electron properties across a femtosecond laser-induced plasma filament in atmospheric pressure argon. Radial electron properties across the ~100 um diameter filament are obtained at discrete axial locations at 2.5 mm steps by one-dimensional high-resolution laser Thomson scattering with a spatial resolution of 10 um. These measurements reveal comprehensive plasma structural information in the filament. The Thomson spectral lineshapes exhibit clear spectral sidebands with an α parameter ~1, enabling the measurement of both electron temperature and density profiles. These measurements yield electron densities on the order of 1022/m3 and electron temperatures on the order of 1 eV, which are in good agreement with past works. Heating from the probe laser due to inverse bremsstrahlung is taken into account to correct the Thomson scattering electron temperature measurements. Under these conditions electron-neutral collision induced bremsstrahlung becomes the dominant laser-induced plasma heating process. The measurements reveal structural features of the filament, including an asymmetrically skewed density structure in the axial direction and reversed radial distributions of electron density and temperature.
Wigner’s friend scenario and a new interpretation of quantum mechanics v2
Authors: Li Qian 
Published: September 2023

Abstract
In this paper, we analyze the thought experiment of "Wigner's friend" and point out that new understanding should be made to Born's rule and measurement process: Born's rule is no longer seen as a rule based on the history of the quantum system's, and the measurement results are no longer directly related to the state of the measured object before the measurement. Inspired by Everett III and H. Zurek's views, we believe that Born's rule reflects the coordination between different parts of the measured results in quantum entanglement systems, so it has nothing to do with the history of particles themselves but rather with the history records. A new interpretation of quantum mechanics is proposed, which is an objective interpretation. Under this interpretation, micro-particles can also be assigned definite states before being observed. Based on this interpretation, Wigner's friend-like scenarios or paradoxes extending Wigner's friend-like scenarios can be effectively explained. The new interpretation brings brand-new perspectives to many quantum phenomena. We also point out potential applications of the new interpretation in the future.
An Effective Approach for Load Balancing and Resource Scheduling in Cloud-Based Healthcare Communication
Authors: Sohal Asha , Khatkar Monika 
Published: September 2023

Abstract
Cloud computing is frequently utilized in distributed environments to handle user demands for resources and services. In order to respond to user requests for resources within a specific time window, resource scheduling is utilized. Healthcare management and systems rely on internet-connected smart gadgets in today's environment. These devices manage the enormous volumes of data that smart medical sensors process and collect while maintaining performance parameters like throughput and latency. To avoid any insensitivity, load balancing amongst the smart operating devices has become necessary. Both a distributed and centralized approach to managing massive amounts of data is achieved through load balancing (LB). LB architecture for scheduling in resource deployment in cloud-based healthcare terms is elaborated in this study. Authors use various reinforcement learning algorithms and Q-learning techniques for resource scheduling. These algorithms are used in cloud-based healthcare systems to forecast the best method to manage demand. The recommended system offers a short fabrication time, low energy consumption, and reduced latency time. Utilizing performance measurements for throughput, time of make-span, and latency rate, the suggested approaches performance is examined using MATLAB. The make span in this work is smaller than in the current process, and the proposed mechanism has a higher throughput.
The Tarímbaro-Álvaro Obregón Fault, a major structure of the Morelia-Acambay Fault System in Central México
Authors: Gómez-Vasconcelos Martha Gabriela , Avellán Denis Ramón , García Jesús Ávila , Lacan Pierre , Israde-Alcántara Isabel , García Oscar , Castellano Jelime Aray , Audin Laurence 
Published: September 2023

Abstract

Seismic hazard assessment in central México is essential considering the numerous crustal active faults crossing densely populated cities. The Morelia-Acambay Fault System in central México comprises at least thirty active E-W normal faults that affect Miocene to Holocene units and are responsible for several devastating earthquakes. However, most of these faults are unstudied; their behavior and seismogenic potential are unknown. The ENE-striking ~ 40-km-long Tarímbaro-Álvaro Obregón (TAO) fault is one of these major tectonic structures. It is located on the northern border of the Morelia Metropolitan area, where more than one million inhabitants live within 10 km of the fault. We studied this normal fault by means of a detailed and multidisciplinary characterization due to its large surface expression and the current anthropization, which makes the use of classical techniques difficult. This study integrates geological, geophysical, seismological, and paleoseismic data, providing data for a better seismic hazard assessment. The TAO fault zone comprises three right-stepping en échelon segments separated by relay zones. This study reveals a mean vertical slip rate of 0.04 ± 0.08 mm/yr, and 1.3 m of single-event vertical displacement. The TAO fault can produce magnitude 6.2 to 7.2 earthquakes, representing a significant potential seismic source in central México.
Hybrid Model for Sentiment Analysis Combination of PSO, Genetic Algorithm and Voting Classification
Authors: Srivast Garima , Singh Vaishali , Kumar Sachin 
Published: September 2023

Abstract
Sentiment analysis of texts in social media has received a lot of attention in the fields of natural language processing and data mining in recent years as a result of the growth of social network services like Twitter and Weibo. Users of social media can share information on their platforms, and their numbers are always growing. As is common knowledge, themes and domains and sentiment analysis are strongly intertwined. It would be exceedingly challenging to manually gather enough labelled data from the large-scale social media, which covers a wide range of topics, to train sentiment classifiers for many domains. The various machine learning models is proposed in the previous years for the sentiment analysis. It is analyzed that models which are already been proposed are unable to attain good accuracy. In this paper, novel model is proposed which is the combination of PSO and genetic algorithm for the feature extraction and voting method is used for the classification. The proposed model is implemented in python and performance is measured in terms of accuracy, precision and recall. The proposed model is also tested on three different datasets with different number of instances. The datasets which are used for the sentiment analysis is of twitter and are collected using Tweepy API.
The Effectiveness of Concentrated Growth Factor (CGF) in Facial Nerve Crush Injury
Authors: Balaban Emre , Demir Emine , Erdivanlı Özlem Çelebi , Mercantepe Tolga , Gökçe Fatih Mehmet , Tümkaya Levent , Dursun Engin 
Published: September 2023

Abstract
Objectives
This study aims to evaluate the effect of concentrated growth factor (CGF) on regeneration of facial nerve after crush injury.
Materials and Methods
A total of 14 rats were randomized into 2 groups.Control group (CG) (n = 7) received crush injury to the right facial nerve.CGF group (CGFG) (n = 7) received crush injury to the right facial nerve and consentrated growth factor prepared from their own blood thereafter.Left facial nerves were used for functional comparison.Nerve function was evaluated with whisker movements and electromyography.Histologic properties were evaluated with Hematoxylene-Eosin and Masson-trichrome staining;immunohistochemical properties were evaluated with degeneration markers Neurofilament-H and Anti-Tau.
Results
In CGFG,whisker functions both started earlier to recover and recovered more quickly compared with CG.CG showed significantly prolonged latency and reduced amplitudes in the first week compared with CGFG (p < 0.05).Recordings of 4th week latency and amplitudes were similar to the preoperative period in CGFG (p > 0.05);whereas recordings of same week were significantly worse in CG (p < 0.05).Edema and fibrosis were also more pronounced in CG compared with CGFG.Neurofilament-H and Anti-Tau significantly high in CG (p < 0.05).
Conclusion
Concentrated growth factor promotes recovery in facial crush injury.It may prove as a cost-effective,practical and effective treatment choice in peripheral nerve injury.
Clinical Relevance:
This study aims to evaluate the effect of concentrated growth factor (CGF) on regeneration of facial nerve after crush injury.
A mechanistic investigation of metal-free allylic fluorination of styrenes for the synthesis of allyl fluoride derivatives using density functional theory
Authors: Singh Harjinder , Saini Vaneet 
Published: September 2023

Abstract
The primary objective of this work is to delve into the intricacies of allylic fluorination reactions through the application of density functional theory (DFT) calculations. These reactions hold significant importance in the realm of synthesizing organofluorine compounds. The specific focus lies on comprehending the interaction mechanisms when styrenes, a class of organic molecules, come in contact with an electrophilic fluorinating reagent known as Selectfluor. Notably, this interaction pathway demonstrates remarkable efficiency in yielding allylic fluoride products. The proposed mechanism for this transformation involves a sequential process. To unveil the microcosmic intricacies governing this reaction between the alkene substrate and Selectfluor, advanced computational methodologies are employed. The paper systematically outlines the computational strategies harnessed to probe the minute details of the reaction mechanism. The outcomes of these computations are subsequently subjected to thorough analysis, encompassing crucial facets such as transition states and energy barriers. This analytical depth enhances the fundamental understanding of the reaction mechanism and sheds light on the underlying factors influencing its feasibility and efficiency. In a broader context, the insights garnered from this study carry significant utility. They provide pivotal guidance for the optimization of reaction conditions, facilitating the fine-tuning of experimental setups. Moreover, the elucidated mechanism serves as a platform for the design of even more efficient and selective allylic fluorination reactions. This paper, by amalgamating theoretical insights with practical synthetic objectives, contributes to the broader advancement of organofluorine compound synthesis and allied fields.
Development of an efficient micropropagation protocol for Ormosia robusta Baker, a critically endangered tree by using woody plant medium with 6-Benzylaminopurine that conforms genetic fidelity of the regenerated plantlets
Authors: Singha RK Nilasana , Mao Ashiho Asosii , Barik Saroj Kanta 
Published: September 2023

Abstract
Ormosia robusta Baker (Fabaceae) is a critically endangered (CR) tree species with highly restricted distribution in the north-eastern states of Assam, Arunachal Pradesh, Meghalaya, and Mizoram in India, and Myanmar, Bangladesh and Thailand. Due to very small adult population size, and poor natural regeneration, tissue culture-based micropropagation method can be a promising solution for its recovery. We optimized a protocol for multiple shoot induction from a nodal culture of in vitro raised seedlings on Woody Plant Medium (WPM) supplemented with 4 µM concentration of 6-Benzylaminopurine (BA) that generated the maximum number of shoots (3.6 ± 0.2) and highest shoot length (4.0 ± 0.2) per explant after 12 weeks of culture. WPM supplemented with activated charcoal yielded a maximum number of roots i.e. 3.0 ± 0.1 with a mean root length of 4.2 ± 0.1 cm per shoot. These were significantly greater (p < 0.05) than those of WPM supplemented with 2 µM Indole Butyric Acid (IBA). The genetic composition of in vitro micropropagated plants was compared with that of the donor mother plants using Inter Simple Sequence Repeats (ISSR) and Start Codon Targeted (SCoT) markers. The genetic fidelity tests yielded 99 and 66 DNA bands in ISSR and SCoT, respectively. The similarity value was calculated based on SCoT profiles alone (0.97 to 1.00) and also for the combined ISSR and SCoT profiles (0.99 to 1.00) with both denoting a high percentage of genetic uniformity. The UPGMA cluster dendrogram was generated from the pooled data matrix of ISSR and SCoT that exhibited 99% genetic similarity of regenerants with the mother plant. This is the first report on establishing a reproducible micropropagation protocol, and subsequent genetic homogeneity assessment of in vitro propagated O. robusta, which should be helpful to recover the CR species.
Effect of pravastatin on renal function in patients with dyslipidemia and type 2 diabetes mellitus: A real-world observational study
Authors: Kim Hae Jin , Hur Kyu Yeon , Lee Yong-ho , Kim Jin Taek , Lee Yong-Kyu , Baek Ki-Hyun , Choi Euy Jin , Hwang Won Min , Bang Ki Tae , Lim Jung Soo , Chung Yun Jae , Jo Sung Rae , Oh Joon Seok , Lee Soon Hee , Ko Seung-Hyun , Choi Sung Hee 
Published: September 2023

Abstract
Pravastatin can mitigate the progression of kidney disease; however, Asian data on its renal impact are lacking. This multicenter prospective observational study aimed to assess pravastatin’s effect on renal function in Korean patients with dyslipidemia and type 2 diabetes mellitus (T2DM) in real clinical practice. We enrolled 2,997 T2DM patients, who were followed up for 48 weeks post-pravastatin prescription. The effect of pravastatin on percent change in eGFR was assessed at weeks 12, 24, and 48 from baseline in patients (n = 2,604) with available estimated glomerular filtration rate (eGFR) values. We noted a significant improvement in eGFR, with mean percent changes of + 2.53 ± 26.65, + 2.56 ± 27.69, and + 2.96 ± 28.82% at the respective time points (all p < 0.01). Positive eGFR outcomes were observed in subgroups with baseline eGFR < 90 mL/min/1.73m², age ≥ 65 years, T2DM duration > 5 years, baseline glycated hemoglobin (HbA1c) ≥ 7%, and prior statin therapy. Concurrently, the pravastatin group exhibited improvements in the 24th week in lipid levels, and glucose levels, including fasting blood glucose and HbA1c. Our findings emphasize pravastatin’s potential to improve eGFR in Korean patients with dyslipidemia and T2DM, thus aiding in the attenuation of kidney disease progression.