bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationships between personality factors and DC/TMD Axis II scores of psychosocial impairment among patients with pain related Temporomandibular Joint Disorders
Authors: Assiri KHALIL IBRAHIM 
Published: June 2024

Abstract

This cross-sectional analytical study aimed to assess the relationship between personality factors and the DC/TMD Axis II scores of psychosocial impairment among patients with pain related temporomandibular joint disorders (TMD). 120 participants (60 females and 60 males) who were diagnosed with pain related TMD according to the Axis I DC/TMD protocol were recruited. The participants were requested to complete four tests including the NEO Five Factor Inventory (NEO-FFI) to assess personality factors and three Axis II DC/TMD tools; the Graded Chronic Pain Scale (GCPS) Version 2.0 to assess TMD pain intensity and pain-related disability, Patient Health Questionnaire-4 (PHQ-4) to assess psychological distress due to TMD pain, and Generalized Anxiety Disorder-7 (GAD-7) to assess patients’ stress reactivity. Results showed that 49.2% of the participants experienced high intensity of characteristic pain, 14.2% reported pain related disability more than 30 days (grade 3 disability days) and had disability scores of 70 or above (grade 3 disability scores), 16.7% demonstrated severe distress, and 18.3% reported severe anxiety due to TMD pain. Females scored higher on all these variables than males (P < .05). Multiple regression analyses indicated that higher extraversion scores, higher agreeableness scores and being a female were associated with higher intensity of characteristic pain (p < .05). Also, higher neuroticism and agreeableness scores were associated with more disability days (p < .05). In addition, higher agreeableness scores were associated with higher disability scores and disability point values (p < .05). Furthermore, lower neuroticism scores and being a female were associated with higher PHQ total scores, while being a female and having a lower level of education were associated with higher GAD total scores (p < .05). In conclusion, personality profiles and gender significantly impact the DC/TMD Axis II scores of psychosocial impairment among patients with pain related TMD.
The Dm element located in the Igκ locus is hypermethylated in primary RAG- deficient pre-B cells
Authors: Wu Caijun , Dong Yanying , Wang Yingjun , Ji Yanhong 
Published: June 2024

Abstract

The Igκ locus undergoes a series of epigenetic changes, such as active histone modifications and DNA demethylation, to participate in V(D)J recombination, which is initiated by RAG endonuclease (also known as RAG1/RAG2), during B cell development in the bone marrow. We previously showed that RAG2 is involved in Igκ locus demethylation in RAG-deficient pre-B cells. The Dm element is located in the Igκ locus and has the highest density of CpG sites. Here, we performed a bisulfite DNA-modification assay and chromatin immunoprecipitation (ChIP) experiment to analyze the epigenetics of the Dm element. We found that the Dm element was hypermethylated in RAG deficiency pre-B cells. However, the Dm element was demethylated in splenic B cells. Moreover, the Dm element exhibited high levels of active histone modifications, such as H3K27Ac and H3K9Ac, and binding of Pax5 to it was detected in B cells. In conclusion, our findings indicate that the methylation status of the Dm element undergoes changes in splenic mature B cells. These results provide new insights into the mechanisms of Igκ locus methylation regulation during B cell development.
Resilience improvement using fault detection method in Multi-Carrier Microgrids
Authors: Ebrahimi Reza , Moradi Mohammad Hasan , Jahangiri Alireza , Abedini Mohammad 
Published: June 2024

Abstract

Power quality has become a vital factor because of the simultaneous use of electric and gas energies in a network (multi-carrier grid) as well as the use of modern electrical equipment. Poor electricity quality is defined as the presence of changes, distortions, or disturbances in voltage, current, and frequency quantities that cause the failure or improper operation of the subscribers' equipment. This research, aims to improve the voltage drop and increase the resilience of the multi-carrier distribution network (Energy Hub) in the event of a short-circuit fault, resulting in the provision of 10% of the total load and an improvement in subscriber welfare. To improve the voltage drop, The first step needs fast fault detection, which is accomplished by using an FCL filter, which is capable of detecting any short-circuit fault in the shortest amount of time by combining the method of estimating frequency fluctuations and the Prony method. After detecting the fault, a combination of DVR and D-STATCOM (DDS) is used to compensate for the voltage drop. The amount of increase in subscriber resilience and welfare will then be investigated. The simulation results show proper performance in identifying the short-circuit fault to prevent the subscribers' collapse and blackout.
Proton Nanomodulators for Enhanced Mn 2+ -mediated Chemodynamic Therapy of Tumors via HCO 3 − Regulation
Authors: Yang Peng , Liu Shaojie , Chen Zhuang , Liu Weijing , Yang Zuo , Yan Haohao , Rao Zhiping , Zhang Xianghan , Zhang Ruili , Wang Zhongliang 
Published: June 2024

Abstract

Background
Mn2+-mediated chemodynamic therapy (CDT) has been emerged as a promising cancer therapeutic modality that relies heavily on HCO3− level in the system. Although the physiological buffers (H2CO3/HCO3−) provide certain amounts of HCO3−, the acidity of the tumor microenvironment (TME) would seriously affect the HCO3− ionic equilibrium (H2CO3 ⇌ H+ + HCO3−). As a result, HCO3− level in the tumor region is actually insufficient to support effective Mn2+-mediated CDT.
Results
In this study, a robust nanomodulator MnFe2O4@ZIF-8 (PrSMZ) with the capability of in situ self-regulation HCO3− is presented to enhance therapeutic efficacy of Mn2+-mediated CDT. Under an acidic tumor microenvironment, PrSMZ could act as a proton sponge to shift the HCO3− ionic equilibrium to the positive direction, significantly boosting the generation of the HCO3−. Most importantly, such HCO3− supply capacity of PrSMZ could be finely modulated by its ZIF-8 shell thickness, resulting in a 1000-fold increase in reactive oxygen species (ROS) generation. Enhanced ROS-dependent CDT efficacy is further amplified by a glutathione (GSH)-depletion ability and the photothermal effect inherited from the inner core MnFe2O4 of PrSMZ to exert the remarkable antitumor effect on mouse models.
Conclusions
This work addresses the challenge of insufficient HCO3− in the TME for Mn2+-mediated Fenton catalysts and could provide a promising strategy for designing high-performance Mn2+-mediated CDT agents to treat cancer effectively.
Text-to-image synthesis based on conditional augmentation DCGAN network
Authors: Li Yunhong , Liang Chengming , Li Limin , Zhu Yaolin , Su Xueping , Zhang Fuxing 
Published: June 2024

Abstract

In this paper, Aiming at the problems of missing image structure and unreal image generated under the condition of text in the Deep Convolutional Generative Adversarial Network (DCGAN) model, In the proposed conditional augmentation DCGAN (CA-DCGAN) model, the initial step entails utilizing a deep convolution network in conjunction with a cyclic text encoder to encode the input text. This encoding process facilitates the extraction of a feature vector representation of the text, which serves as a fundamental aspect of the model’s architecture. Secondly, a conditional augmentation model (CA) is introduced after the representation of text feature vector by an additional conditional variable is generated through the mean and covariance matrix of text feature vector to replace the original text features with a new vector, combine the conditional variable and random noise for the generator’s input, and add KL loss to its training to prevent overfitting, so that the model can converge better. The experimental results show that the image quality generated by the proposed method on oxford-102-flowers and cub-200 data sets is better than that of align GAN, GAN-CLS and GAN-INT-CLS models, and is closer to the real samples. The Inception Score value is increased by 12% and 9.4% respectively, and the FID value is reduced by 9.6% and 8.7% respectively, which validates the effectiveness of the method proposed in this paper.
Causal relationship between serum metabolites and risk of thyroid cancer: a mendelian randomization study
Authors: Wu Guangzhi , Zhang Shuangyuan , Han Xinru , Zhang Hengheng , Zhao Bowen , Du Yang , Han Kaichen , Mei Shijuan 
Published: June 2024

Abstract

Background
The high incidence of thyroid cancer (TC) has become a significant global medical burden. Our research aims to investigate the relationship between serum metabolites and the onset of TC.
Materials and methods
We used two-sample Mendelian randomization (MR) analysis to evaluate the causal relationship between 1,400 serum metabolites and TC. The causal effects were mainly assessed using the inverse variance weighted (IVW) method, wald ratio, and 95% confidence intervals (CI). Sensitivity analyses were performed using Cochran’s Q Test and MR-PRESSO. The MR-Steiger test was applied to examine reverse causal relationships. Additionally, pathway enrichment analysis was conducted for the causal relationships between known metabolites and TC risk.
Results
Out of 1400 metabolites, 20 were associated with TC. These included ratios of 5 metabolites and 15 individual metabolites (13 known, 2 unknown). Among the 13 known metabolites, 5 were identified as protective factors against TC: 1-palmitoyl-2-oleoyl-GPI (16:0/18:2), 1-palmitoyl-2-oleoyl-GPI (16:0/18:1), aspartic acid, 1-stearoyl-2-oleoyl-GPI (18:0/18:1), and 1-stearoyl-2-oleoyl-GPI (18:0/18:2). The remaining 8 metabolites (phosphocholine, 5-methyluridine (ribosylthymine), (R)-3-hydroxybutyrylcarnitine, dimethyl sulfoxide, isobutyrylcarnitine (C5), glycerol 3-phosphate, lactosyl-n-palmitoylsphingosine (d18:1/16:0), and pregnenolone sulfate (C21H34O5S)) were identified as potential risk factors for an increased likelihood of TC occurrence. Among the protective metabolites, the protective effect of 1-palmitoyl-2-linoleoyl-GPI (16:0/18:2) was most significant (P = 0.0036, Odds ratio (OR) = 0.82, 95% CI [0.72–0.94]). Among the risk factors, phosphocholine was the most significant (P = 0.004, OR = 1.39, 95% CI [1.11–1.74]).
Conclusions
This study revealed the potential relationship between serum metabolites and TC.
Chlorogenic acid alleviates the intestinal barrier dysfunction and intestinal flora disorder induced by cisplatin
Authors: Ruiqi Tian , Yinchuan Ding , Shijie Zhang , li Min , Yiran Wang , Qi Wu , Ding Huanhuan , Jinhu Shen , Ce Shi , Min Xue 
Published: June 2024

Abstract

This article conducted research and analysis on the relationship between cisplatin induced intestinal barrier disruption, gut microbiota imbalance, and the protect effect of chlorogenic acid (CGA) on gastro intestine. This article selected C57BL/6J mice as the research object, with an age of 4 weeks and a total of 28 mice. The mice were divided into 4 groups, including the control group (CN), a cisplatin (Cis) group, a CGA treatment group receiving intraperitoneal injections alongside cisplatin (Cis + CGA1), and the last group pre-treated with CGA before cisplatin administration (Cis + CGA2). This study used RT qPCR to determine IL-6, IL-1β and TNF-ɑ mRNA, while serum levels of these cytokines and fecal LPS were determined through ELISA. Western blot was used to analyze the expression of Occludin and ZO-1 proteins in colon tissue, and H&E staining to study the histopathological conditions of the colon tissue. Moreover, this article also utilized high-throughput sequencing to analyze the gut microbiota of feces. The results indicated that CGA administration reduced IL-6, IL-1β and TNF-α level in both colon tissue and serum compared to the Cis group. CGA pretreatment notably enhanced the expression of Occludin and ZO-1 proteins in colon tissues, improved intestinal barrier integrity. Histopathological analysis confirmed the reduction in intestinal inflammation injury with CGA treatment. Moreover, 16S rDNA sequencing showed that while Bacteroidetes and Firmicutes predominated in the control group, the Cis group saw a rise in Proteobacteria, with a notable shift in the gut microbiota's composition and a decrease in α diversity. CGA treatment was able to mitigate these changes induced by cisplatin. All results suggest CGA effectively mitigates the inflammatory response and destruction of the mucosal barrier in the intestines caused by cisplatin, offering a protective effect against the disturbances of intestinal flora.
High-order Michaelis-Menten equations allow inference of hidden kinetic parameters in enzyme catalysis
Authors: Reuveni Shlomi , Singh Divya , Robin Tal , Urbakh Michael 
Published: June 2024

Abstract

Single-molecule measurements provide a platform for investigating the dynamical properties of enzymatic reactions. To this end, the single-molecule Michaelis-Menten equation was instrumental as it asserts that the first moment of the enzymatic turnover time depends linearly on the reciprocal of the substrate concentration. This, in turn, provides robust and convenient means to determine the maximal turnover rate and the Michaelis-Menten constant. Yet, the information provided by these parameters is incomplete and does not allow full characterization of enzyme kinetics at the single molecule level. Here we show that the missing kinetic information can be accessed via a set of high-order Michaelis-Menten equations that we derive. These equations capture universal linear relations between the reciprocal of the substrate concentration and distinguished combinations of turnover time moments, essentially generalizing the Michaelis-Menten equation to moments of any order. We demonstrate how key observables such as the lifetime of the enzyme-substrate complex, the rate of substrate-enzyme binding, and the probability of successful product formation, can all be inferred using these high-order Michaelis-Menten equations.
Changes in lipid, liver, and renal test profiles among patients with severe COVID-19 during and after hospital admission at Saint Peter Specialized Hospital, Addis Ababa, Ethiopia
Authors: Wolde Gedamnesh , Woldesemayat Belete , Biranu Endalkchew , Habtu Wossene , Edao Abebe , Kinde Samuel 
Published: June 2024

Abstract

Objective: The progression of COVID-19 affects multiple organs, abnormal lipid, liver, and renal function tests have beenreported. Hence, this study aimed to determine differences in organ function and lipid profile among patients with severe COVID-19 during and after hospital admission.
Methods: A follow-up study was conducted among COVID-19-admitted patients at St. Peter Specialized Hospital from January 1, 2021, to April 30, 2021. A total of 162 patients were included in the study. Five millilitersof venous blood was collected during admission and on the verge of discharge. Lipid, renal and liver function tests were performedusing aCobas 311 analyser. The data were entered and analysed with SPSS version 25.
Results: The mean differences in total cholesterol, HDL, and LDL at admission and discharge were 20.13 (95% CI; 13.41-26.84; P<0.001), 7.53 (95% CI; 5.24-9.81; P <0.001), and 0.10 (95% CI; 0.06-0.14; P<0.001), respectively. Albumin concentrationincreased significantly at discharge, while the ALT concentration decreasedsignificantly at discharge (P<0.05).
Conclusion: Dyslipidemia and low levels of Albumin were recorded during the progression of COVID-19 (at admission). This indicated severe COVID-19 disease leads to lipid alteration and Additional studies need to better define the disease's association with liver and renal function tests.
Future climate impacts on biodiversity trends in major global rivers
Authors: Wu Yanfeng , Ma Qiusheng , Qin Lei , Penuelas Josep , Liu Xuemei , Wang Guodong , Rousseau Alain. N. , He Fengzhi 
Published: June 2024

Abstract

Climate change has substantially impacted global runoff patterns and biodiversity, yet the response of river biodiversity to future runoff changes remains unclear. Here, we project and characterize this evolution by calculating the Shannon index (SI), a measure of river biodiversity, for 32 major rivers worldwide under future climate scenarios. We find that historically, SI has generally decreased for most rivers (88%), but future projections suggest an overall increase, albeit with values generally lower than those observed historically. Under different Shared Socioeconomic Pathways (SSPs) - SSP1-2.6, SSP3-7.0, and SSP5-8.5 - SI is expected to decrease by 53%, 66%, and 66%, respectively, reflecting altered runoff patterns. The most substantial decrease is projected under SSP3-7.0. Predictions indicate that biodiversity in the majority of rivers will decline notably in the second and third quarters of the 21st century, with some potential for recovery in the final quarter. These findings highlight an escalating threat to river biodiversity globally, posing significant challenges to ecosystem health and integrity.
Prevalence of psychological disorders among patients with multiple sclerosis
Authors: Najati Ghena , Almazroua Salem , Saad Hasan , Alsahhar Muhammad hussam , Almalla Monaf 
Published: June 2024

Abstract

Aim: The aim of this study was to evaluate the frequency of psychiatric disorders, especially mood and anxiety disorders, in a multiple sclerosis center sample of patients with multiple sclerosis in Syria, and its association with sociodemographic and clinical data.
Methods and Materials: A cross-sectional study, patients were evaluated consecutively, for clinical assessment, a structured interview (MINI) was used for the prevalence of psychiatric disorders, and the severity of depression and anxiety symptoms of the Beck Inventory scale was used.
Results: The lifetime prevalence of major depression was 40% in this population, as well as the risk of suicide, and there was no clear association between depression, degree of disability, duration of illness, or interferon beta use.
Conclusion: The prevalence of mood disorders is high in MS. depression is an important factor related to suicide risk and should be systematically examined.
Numerical simulation of supercritical flow in sudden contractions flumes
Authors: Süme Veli 
Published: June 2024

ABSTRACT
In this research, the effect of sudden non-continuous contraction on the energy dissipation of supercritical flows was numerically investigated. This study focuses on energy dissipation in sudden contractions in supercritical flows. The numerical models were studied using FLOW-3D software and the random number generator (RNG) turbulence model. The laboratory tests were performed on sudden contractions of 10–15 cm and used shapes such as geometric trapezoidal and semicircular. Numerical simulations were carried out at a distance of 1.5 m from the supercritical flow generator gate, at a fixed opening of 2.6 cm, with the Froude number in the range of 2.5–7 and the relative contraction in the range of 8.9–9.73. This laboratory study found that as the Froude number of the upstream flow increases, the energy dissipation increases in the upstream (ΔE/E0) and downstream (ΔE/E1). For the 15 cm contraction, the results indicated that the energy loss compared with section A is 48.25% and compared with section B, it is 69.5% more than a free hydraulic jump in this channel. According to the conclusion, this value in trapezoidal constriction is 45.73 and 63.6% higher than in free hydraulic jump, respectively.
The impact of environmental regulation on water resources carrying capacity in the Yangtze River Economic Belt
Authors: Yi Ying , Li Zhenqiang 
Published: June 2024

ABSTRACT
Enhancing environmental regulation (ER) is a key strategy for improving the carrying capacity of water resources. This study employs panel data from 11 provinces and cities within the Yangtze River Economic Belt, spanning from 2008 to 2022, to calculate the carrying capacity of water resources using an enhanced TOPSIS model. It further examines the threshold effect and spatial spillover effect of ER on water resources carrying capacity (WRCC) through the construction of panel threshold models and spatial econometric models, respectively. Findings indicate a stable growth trend in the carrying capacity of water resources across the Yangtze River Economic Belt, with the upstream region typically exhibiting a higher capacity than both the midstream and downstream regions. ER positively impacts WRCC, demonstrating a single threshold effect. Nonetheless, the positive effect of ER on WRCC experiences diminishing marginal returns as industrial structure upgrades. While strengthening ER positively influences the carrying capacity of water resources in local areas, it exerts a negative spatial spillover effect on neighboring regions. In light of these findings, implementing differentiated ER, optimizing industrial structure and collaborative policies and promoting technological innovation are vital for fostering WRCC.
Advancements in the Synthesis of Triazolopyrimidines
Authors: Singh Sushma , Lakhia Raman , Yadav Sidhant , Devi Poonam , Yadav Karmvati , Chaudhri Vishwas , Pundeer Rashmi 
Published: June 2024

:
The triazolopyrimidine scaffold indeed holds a prominent place in medicinal chemistry due to its
versatile pharmacological properties. Researchers have explored the scaffold and its derivatives for various
therapeutic applications. The unique structure of triazolopyrimidine has made it a valuable template for designing medicinally active molecules. The literature is full of studies showcasing the synthesis and biological activities of compounds containing the triazolopyrimidine ring, either fused or coupled with other heterocycles. The
aim of this review is to provide a comprehensive and general summary of the recent advancements in the synthesis of triazolopyrimidine derivatives (Year 2021 to present).
Chitosan/Bioglass Nanocomposites for Bone Tissue Engineering and Regenerative
Medicine: An Overview of Promising Biomaterials
Authors: Khodaverdi Khashayar , Naghib Seyed Morteza , Mozafari M.R. 
Published: June 2024

:
Bioactive glass (BG) shows great potential as a biomaterial for bone regeneration.
Chitosan enhances the biological characteristics of BG. Chitosan is the sole commonly
utilized natural polysaccharide that may be chemically altered for various purposes and
roles. Composite materials formed by combining chitosan bioactive glass (BG) nanoparticles
and microparticles are used in this context. Integrating bioactive glasses enhances the
mechanical characteristics, bioactivity, and regenerative capacity of the end product. Research
indicates that chitosan/BG composites enhance angiogenesis, cell adhesion, and proliferation.
Bioglass improves biomineralization and boosts bone extracellular matrix formation
by osteoblasts. The current findings demonstrate that the chitosan-glass nanofiber
composites can enhance both antibacterial capabilities and bone conductivity. This review
examines novel techniques for creating chitosan-based materials for engineering purposes, as well as upcoming
difficulties and outlooks.