bluuebunny/crossref_metadata_2025_split huggingface dataset:
Convergence and stability of the Milstein scheme for stochastic differential equations with piecewise continuous arguments
Authors: Zhang Yuhang , Song Minghui , Liu Mingzhu 
Published: December 2022

Abstract
This work develops the Milstein scheme for commutative stochastic differential equations with piecewise continuous arguments (SDEPCAs). As far as we know, although there have been several papers considering the convergence and stability for different types of numerical solutions on SDEPCAs, none of these numerical methods has a convergence order of more than one-half. However, it is well known that the Milstein-type method for stochastic differential equations (SDEs) or stochastic delay differential equations (SDDEs) has a strong convergence order of one, which is better than the convergence order of the Euler-type method. Accordingly, we first construct the Milstein method for SDEPCAs in this paper and then show its convergence order can also reach one. Finally, we prove that the Milstein method can preserve the stability of SDEPCAs. In the last section, we provide several illustrative examples to show that the convergence rate and the stability of the Milstein simulations are consistent with the theoretical results.
Gestational hypertension complicated with adrenocortical carcinoma: a case report
Authors: Qiang Xiaoteng , Bai Qing , Li Yin , Huang Jing , Ma Xuemei , Wang Weiwei 
Published: December 2022

Abstract
This paper reports a rare case of adrenocortical carcinoma (ACC) in pregnancy with gestational hypertension as the main clinical manifestation. Hypertensive diseases in pregnancy should receive enough attention to identify and exclude the possibility of adrenal diseases, thereby making a timely diagnosis and active treatment.
Construction and validation of a gene expression classifier to predict immunotherapy response in primary triple-negative breast cancer
Authors: Ensenyat-Mendez Miquel , Orozco Javier , Llinàs-Arias Pere , Iñiguez-Muñoz Sandra , Baker Jennifer , Salomon Matthew , Martí Merce , DiNome Maggie , Cortés Javier , Marzese Diego 
Published: December 2022

Abstract
Background: Immune checkpoint inhibitors (ICI) improve clinical outcomes in triple-negative breast cancer (TNBC) patients. However, a subset of patients does not respond to treatment. Biomarkers that show ICI predictive potential in other solid tumors, such as levels of PD-L1 and the tumor mutational burden, among others, show a modest predictive performance in patients with TNBC.
Methods: We built machine learning models based on pre-ICI treatment gene expression profiles, to construct gene expression classifiers to identify primary TNBC ICI-responder patients. This study involved 132 ICI-naïve and 721 specimens treated with ICI plus chemotherapy, including TNBC tumors, HR+/HER2- breast tumors, and other solid non-breast tumors.
Results: A 37-gene TNBC ICI predictive (TNBC-ICI) classifier showed a high performance in predicting pathological complete response (pCR) to ICI plus chemotherapy on an independent TNBC validation cohort (AUC=0.86). The TNBC-ICI classifier showed better performance than other previously established molecular signatures, including PD-1 (PDCD1) and PD-L1 (CD274) gene expression (AUC=0.67). Integrating molecular signatures did not improve the efficiency of the classifier (AUC=0.75). TNBC-ICI displayed a modest accuracy in predicting ICI response in two different cohorts of HR+/HER2- breast cancer patients (AUC: 0.72-0.76). Evaluation of six cohorts of patients with non-breast solid tumors treated with ICI plus chemotherapy showed overall poor performance (median AUC=0.67).
Conclusion: TNBC-ICI predicts pCR to ICI plus chemotherapy in patients with primary TNBC. The study provides a guide to implementing the TNBC-ICI classifier in clinical studies. Further validations will consolidate a novel predictive panel to improve the treatment decision-making for patients with TNBC.
Development of a novel integrated isothermal amplification system for detection of bacteria-spiked blood samples
Authors: Li Jin , Shang Mei-Yun , Deng Shao-Li , Li Min , Su Ning , Ren Xiao-Dong , Sun Xian-Ge , Li Wen-Man , Li Yu-Wei , Li Ruo-Xu , Huang Qing , Lu Wei-Ping 
Published: December 2022

Abstract
Bloodstream infection (BSI) caused by bacteria is highly pathogenic and lethal, and easily develops whole-body inflammatory state. Immediate identification of disease-causing bacteria can improve patient prognosis. Traditional testing methods are not only time-consuming, but such tests are limited to laboratories. Recombinase polymerase amplification combined with lateral flow dipstick (RPA-LFD) holds great promise for rapid nucleic acid detection, but the uncapping operation after amplification easily contaminates laboratories. Therefore, the establishment of a more effective integrated isothermal amplification system has become an urgent problem to be solved. In this study, we designed and fabricated a hermetically sealed integrated isothermal amplification system. The system integrates recombinase polymerase amplification assays (RPA assays), lateral flow dipsticks detecting amplicons (LFD), detection devices, and matched metal heat blocks. Combining with the isothermal amplification system, a set of RPA-LFD assays for detecting S. aureus, K. peneumoniae, P. aeruginosa, and H. influenza in BSI were established and evaluated. The whole process could be completed in less than 15 min and the results can be visualized by the naked eye. Established RPA-LFD assays showed good specificity and sensitivity. In addition, a retrospective confirmation of 60 bacteria-spiked blood samples identified by mass spectrometry was performed by the newly developed integrated isothermal amplification system. The developed RPA-LFD assays displayed a good sensitivity, and no cross-reactivity was observed in seven similar bacterial genera. The results obtained with 60 clinical samples indicated that the developed RPA-LFD assays had high specifcity and sensitivity for identifying S. aureus, K. peneumoniae, P. aeruginosa, and H. influenza in BSI. Our results showed that the developed RPA-LFD assay is an alternative to existing PCR-based methods for detection of S. aureus, K. peneumoniae, P. aeruginosa, and H. influenza in BSI in primary hospitals.
Labor reintegration: A nonlinear process
Authors: Vivas Ana María Velasco , Díaz-Bambula Fátima 
Published: December 2022

Abstract
The objective of this article is to present a reading of the labor reintegration process. This study addresses the labor reintegration process of people who return to work after having been disabled for long periods of time regardless of the origin (common or work). This phenomenon has received different names in Spanish: reincorporation, return and reintegration. Thus, it has been difficult to understand. In some studies, it has been viewed as a result, while in others, it has been viewed as a process.
Method: A qualitative study was conducted using the biographical method and the discursive interview technique with 11 participants. Content analysis and narrative lines were used.
Results: Labor reintegration is a complex, multidimensional, multitemporal and multidirectional phenomenon. It is not a single process. It can entail multiple processes, since it depends on the experiences of those who live it, the contexts and the organizations where it is developed in a regulatory-administrative process that begins with the end of the period of labor inability, whose onset occurs with the same health-disease event.
Conclusion: The phenomenon must be understood in terms of the psychosocial aspect and transcend the normative reading related to safety and health at work. It must shift from being a model focused on insurability to a model focused on workers’ health.
Case-based Learning Combined with Concept Mapping improves medical students' learning outcomes of biochemistry
Authors: Zhou Taimei , Wen Zhichao , Wang Haiying , Jiang Xinglin 
Published: December 2022

Abstract
Background: Case-based learning (CBL) and concept mapping (CM) are two important strategies in medical education. This study aimed to assess the effects of CBL combined with CM on medical students' learning in biochemistry course via comparison with didactic lectures.
Methods: A total of 60 medical students from Hunan University of Medicine (China) in the first semester of their sophomore year were included in this study. Among them, 30 students were introduced to the innovative program consisting of CBL and CM, and 30 students attending didactic lectures formed the control group. A terminal examination and Likert questionnaires were employed to investigate the efficacy and possible advantages of the combination of CBL and CM when compared with didactic lectures.
Results: Students attending the innovative program got higher scores in the final examination than those received didactic lectures. Majority students enjoyed the
combination use of CBL and CM, and they generally approved oftheir positive effects on improving logical thinking abilities and helping to bridge the gap between the basic science and clinical practice. Moreover, 90% (27/30) students declared they would use CBL and CM in their future studies and works.
Conclusion: The combination of CBL and CM had positive effects on learning outcomes of biochemistry and medical students' opinions regarding their combination were overwhelmingly positive.
Overexpression of POU3F2 promotes radioresistance in triple-negative breast cancer via Akt pathway activation
Authors: Xie Guozhu , zhnaghan Han , Zheng Jieling , Fu Yiming , Ling Jing , Liu ZiShen , Lin Xiaotong , Dong Xin , Sun Yao , Tan Tingting , Guo Zhaoze 
Published: December 2022

Abstract
Purpose: POU3F2 is associated with malignant behaviors and poor prognosis in cancer. However, the function and mechanism of POU3F2 in breast cancer remains to be elucidated. The purpose of our study was to explore the role of POU3F2 in triple-negative breast cancer and radiotherapy.
Methods:POU3F2 expression was examined by RT-PCR and Western Blot.Proliferation of cancer cells was measured by MTT assay.Migration of cancer cells was determined by Transwell assay and wound healing assay.To determine which proteins interact with POU3F2,co-IP was preformed.Survival analysis was performed by online database resources GEPIA and The Kaplan–Meier plotter.DNA damage after radiation was examined by Comet Assay.Radiosensetivity was evaluated with Clonogenic survival assays.Tumor xenograft was established with MDA-BA-231 breast cancer cells in BALB/c nude mice to explore the effect of POU3F2 in vivo.
Results:We found that the expression of POU3F2 was significantly elevated in breast cancer cells, and higher POU3F2 expression was related to poor prognosis of patients with breast cancer. Functional assays revealed that POU3F2 promoted proliferation, migration, and invasion of triple-negative breast cancer (TNBC) cells in vitro and in vivo. In addition, knock-down of POU3F2 decreased the radioresistance of TNBC cells in vitro. Furthermore, POU3F2 could enhance the activation of the Akt pathway by interacting with ARNT2, thereby promoting proliferation and radioresistance in TNBC cells.
Conclusions:Our results provide the first evidence that high expression of POU3F2 promotes radioresistance in triple negative breast cancer via Akt pathway activation by interacting with ARNT2.
Short-term exposure to dimethyl fumarate (DMF) inhibits LPS-induced IκBζ expression in macrophages: implications for the pharmacological activity of DMF
Authors: Zhang Yong , Tang Jingshu , Zhou Yujun , Xiao Xiong , Chen Qiuyu , Wang Hongyue , Lan Jiaqi , Wu Lei , Peng Ying 
Published: December 2022

Abstract

Background The pharmacological activity of dimethyl fumarate (DMF) in treating psoriasis and multiple sclerosis (MS) is not fully understood. DMF is hydrolysed to monomethyl fumarate (MMF)in vivo, which is believed to account for the therapeutic effects of DMF. However, previous studies have provided evidence that DMF also enters the circulation. Given that DMF is short-lived in the blood, whether DMF has a therapeutic impact is still unclear. Methods Lipopolysaccharide (LPS)-mediated RAW264.7 cell activation was used as a model of inflammation to explore the anti-inflammatory effects of short-term DMF exposurein vitro. Whole blood LPS stimulation assay was applied to compare the anti-inflammatory effects of DMF and MMF in vivo. Griess assay was performed to examined nitrite release. The expression of pro-inflammatory cytokines and transcription factors were measured by quantitative PCR (qPCR), ELISA and Western blot. Depletion of intracellular glutathione (GSH) was evaluated by Ellman’s assay. Luciferase reporter assays were performed to evaluate DMF effects on Nrf2-ARE pathway activation, promoter activity ofNfkbizand mRNA stability ofNfkbiz. Binding of STAT3 to the IκBζ promoter were examined using Chromatin immunoprecipitation (ChIP) assay. Results Short-term exposure to DMF significantly inhibited the inflammatory response of RAW264.7 cells and suppressed LPS-induced IκBζ expression. Importantly, oral DMF but not oral MMF administration significantly inhibited IκBζ transcription in murine peripheral blood cells. We demonstrated that the expression of IκBζ is affected by the availability of intracellular GSH and regulated by the transcription factor Nrf2 and STAT3. DMF with strong electrophilicity can rapidly deplete intracellular GSH, activate the Nrf2-ARE pathway, and inhibit the binding of STAT3 to the IκBζ promoter, thereby suppressing IκBζ expression in macrophages. Conclusion These results demonstrate the rapid anti-inflammatory effects of DMF in macrophages, providing evidence to support the direct anti-inflammatory activity of DMF.
Prevention of myopia shift and myopia onset using 0.01% atropine in premyopic children - A Prospective, Randomized, Double-masked, Crossover Trial
Authors: Wang Weiqun , Zhang Fengyan , Yu Shiao , Ma Nana , Huang Congcong , Wang Ming , Wei Li , Zhang Junjie , Fu Aicun 
Published: December 2022

Abstract
To evaluate the efficacy of 0.01% atropine eye drops in preventing myopia shift and myopia onset in premyopic children. A prospective, randomized, double-masked, placebo-controlled, crossover trial was conducted over 13 months. Sixty premyopic children aged 6–12 years with cycloplegic spherical equivalent refraction (SER) > -0.75 D and ≤ + 0.50 D in both eyes were assigned in a 1:1 ratio to receive one drop of 0.01% atropine or placebo once nightly for 6 months (period 1), followed by a 1-month recovery period. Then, the 0.01% atropine group was crossed over to the placebo group, and the latter was crossed over to the 0.01% atropine group for another 6 months (period 2). The primary outcomes were changes in SER and axial length (AL), and the secondary outcomes were the proportion of myopia onset (SER ≤ -0.75D) and fast myopic shift (change in SER ≤ -0.25D) in the two periods. Generalized estimating equation (GEE) model performed statistically significant treatment effect of 0.01% atropine compared with placebo (pSER = 0.02, pAL < 0.001), with a mean SER and AL difference of 0.20D (-0.15 ± 0.26D vs. -0.34 ± 0.34D) and 0.11mm (0.17 ± 0.11mm vs. 0.28 ± 0.14mm) in period 1, and 0.17D (-0.18 ± 0.24D vs. -0.34 ± 0.31D) and 0.10mm (0.15 ± 0.15mm vs. 0.24 ± 0.11mm) in period 2. GEE model showed that the proportion of myopia onset (p = 0.004) and fast myopic shift (p = 0.009) were significantly lower in the 0.01% atropine group than that in the placebo group. The period effect was not statistically significant (all p > 0.05). 0.01% atropine significantly prevented myopic shift, axial elongation, and myopia onset in premyopic schoolchildren in central Mainland China. Conclusions: Within the limits of only two consecutive 6-month observation period, 0.01% atropine eye drops effectively prevented myopic shift, axial elongation, and myopia onset in premyopic children. Trial registration: This trial was registered in the Chinese Clinical Trial Registry (Registration number: ChiCTR2000034760). Registered 18 July 2020.
Homemade 100 pair base DNA ladder Based on bacterial plasmid pMAL-C2X
Authors: Badreh Firuzeh , Jahanbin khodakaram , khodadadi Ali , zadeh Ali khorasani , sharifat Moosa , khayati Milad , Rashno Mohammad 
Published: December 2022

Abstract
Background: Most molecular biology research findings require markers such as DNA ladders to detect and quantify nucleic acid fragments length by electrophoresis in routine task. Methods: In this study, we report a method to prepare a 100 pair base DNA ladder based on PCR technique. The bacterial plasmid pMAL-C2X was used as the template DNA in PCR. PCR products were extracted by phenol/chloroform, precipitated with ethanol and mixed proportionally. Results: Finally, a set of 7 primers (5 Revers and 2 Forward) successfully designed. The amplified PCR fragments were quantified by nanodrop and the bands size were estimated by gel electrophoresis along with a co-migrating commercial 100 bp ladder in 1.5% agarose gel. The results indicated that the clear and sharp bands of 100–1000 bp were successfully generated by one reaction in PCR. Conclusions: Our homemade product is a competitive product with a commercial market and can be prepared with a simple and inexpensive method and low probability of non-specific band.
Investigation on the Positive Chronotropic Action of 6- Nitrodopamine in the Rat Isolated Atria
Authors: Britto-Júnior José , Lima Antonio Tiago , Fuguhara Vivian , Monica Fabiola Z. , Antunes Edson , Nucci Gilberto 
Published: December 2022

Abstract
6-Nitrodopamine (6-ND) is released from rat isolated atria being 100-times more potent than noradrenaline and adrenaline, and 10,000-times more potent than dopamine as a positive chronotropic agent. The present study aimed to investigate the interactions of 6-ND with the classical catecholamines, phosphodiesterase (PDE)-3 and PDE4 and the protein kinase A in rat isolated atria. Atrial incubation with 1 pM of dopamine, noradrenaline or adrenaline had no effect on atrial frequency. Similar results were observed when the atria were incubated with 0.01 pM of 6-ND. However, co-incubation of 6-ND (0.01 pM) with dopamine, noradrenaline or adrenaline (1 pM each) resulted in significant increases in atrial rate, which persisted over 30 min after washout of the agonists. The increased atrial frequency induced by co-incubation of 6-ND with the catecholamines was significantly reduced by the voltage-gated sodium channel blocker tetrodotoxin (1 mM, 30 min), indicating that the positive chronotropic effect of 6-ND is due in part to activation of nerve terminals. Pre-treatment of the animals with reserpine had no effect on the positive chronotropic effect induced by dopamine, noradrenaline or adrenaline; however, reserpine markedly reduced the 6-ND (1 pM)-induced positive chronotropic effect. Incubation of the rat isolated atria with the protein kinase A inhibitor H-89 (1 mM, 30 min) abolished the increased atrial frequency induced by dopamine, noradrenaline and adrenaline, but only attenuated the increases induced by 6-ND. 6-ND induces catecholamine release from adrenergic terminals and increases atrial frequency independently of PKA activation.
An Improved Deep Text Clustering via Local Manifold of an Autoencoder Embedding
Authors: Berahmand Kamal , Daneshfar Fatemeh , oskouei Amin Golzari , Dorosti Maryam , Aghajani Mohammad Javad 
Published: December 2022

Abstract
Text clustering is a method for separating specific information from textual data and can even classify text according to topic and sentiment, which has drawn much interest in recent years. Deep clustering methods are especially important among clustering techniques because of their high accuracy. These methods include two main components: dimensionality reduction and clustering. Many earlier efforts have employed autoencoder for dimension reduction; however, they are unable to lower dimensions based on manifold structures, and samples that are like one another are not necessarily placed next to one another in the low dimensional. In the paper, we develop a Deep Text Clustering method based on a local Manifold in the Autoencoder layer (DCTMA) that employs multiple similarity matrices to obtain manifold information, such that this final similarity matrix is obtained from the average of these matrices. The obtained matrix is added to the bottleneck representation layer in the autoencoder. The DCTMA's main goal is to generate similar representations for samples belonging to the same cluster; after dimensionality reduction is achieved with high accuracy, clusters are detected using an end-to-end deep clustering. Experimental results demonstrate that the suggested method performs surprisingly well in comparison to current state-of-the-art methods in text datasets.
Pilot study of a calcium phosphate cement based composite as implant coating and socket grafting material
Authors: Liu Ping , He Feng , Zheng Xueni , Xue Yang , Zhou Hongzhi 
Published: December 2022

Abstract
Materials that can be used in load-bearing implants are desirable. They have to display a wide range of properties in order to work well in the human body. Calcium phosphate cement (CPC) is a promising candidate for this role because of their ability to directly bond to bone, serving as a template for newly forming bone and meanwhile a load-bearing support for implant. In this study, a commercialized CPC product were blended with hemostatic gelatin sponges and minocycline, then smashed to form a self-setting composite material with porous structures. Firstly, the CPC composite was tested as a coating material for titanium implant in experimental rabbit models. The results showed the coating materials could guide bone-to-implant contact in 12 weeks, displaying a good osteoconductive ability. Then a clinical trial was carried out to evaluate the CPC composite’s performance as bone substitute in 8 patients, who experienced tooth extractions and accepted the composite material grafting for ridge preservation. After 3-6 months’ healing, the majority of the CPC composite was replaced by new alveolar bone, allowing successful placement of dental implant and denture restoration. This pilot study indicated that porous CPC composite could be used in implant dentistry as biomedical material for implant coating or alveolar ridge preservation.
Dynamical behavior of analytical soliton solutions, bifurcation analysis, and quasi-periodic solution to the (2+1)-dimensional Konopelchenko-Dubrovsky (KD) system
Authors: Kumar Sachin , Mann Nikita , Kharbanda Harsha , Inc Mustafa 
Published: December 2022

Abstract
Nonlinear evolution equations (NLEEs) are extensively used to establish the elementary propositions of natural circumstances. In this work, we study the Konopelchenko-Dubrovsky (KD) equation which depicts non-linear waves in mathematical physics with weak dispersion. The considered model is investigated using the combination of generalized exponential rational function (GERF) method and dynamical system method. The GERF method is utilized to generate closed-form invariant solutions to the (2+1)-dimensional KD model in terms of trigonometric, hyperbolic, and exponential forms with the assistance of symbolic computations. Moreover, 3D, 2D combined line graph and their contour graphics are displayed to depict the behavior of obtained solitary wave solutions. The model is observed to have multiple soliton profiles, kink-wave profiles, and periodic oscillating nonlinear waves. These generated solutions have never been published in the literature. All the newly generated soliton solutions are checked by putting them back into the associated system with the soft computation via Wolfram Mathematica. Moreover, the system is converted into a planer dynamical system using a certain transformation and the analysis of bifurcation is examined. Furthermore, the quasi-periodic solution is investigated numerically for the perturbed system by inserting definite periodic forces into the considered model. With regard to the parameter of the perturbed model, two-dimensional and three-dimensional phase portraits are plotted.