bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental and theoretical Brownian Dynamics analysis of Ion transport during cellular electroporation of E. coli bacteria
Authors: Gonzalez-Cuevas Juan Alberto , Arguello Ricardo , Florentin Marcos , Andre Franck , MIr Luis 
Published: January 2023

Abstract
The motion of ions through pores formed in the inner and outer plasma membranes of Escherichia coli cells during electroporation is simulated in 3-D space using a Brownian dynamics model, which is mostly deterministic following Newtonian mechanics, but has some stochastic properties to account for elastic ionic scattering in water. The pore’s conductance, diffusion coefficient, mobility and translation time of Ca2+, Mg2+, Na+, K+ and Cl− ions are estimated from the numerical model and validated with experiments conducted at the Gustave Roussy. The results from this work provide a better understanding of the electroporation process, aiding in the design of electrical pulses and waveforms for maximizing the throughput of DNA, drugs and gene materials into cells, primarily for application in cancer treatment.
Dementia and the History of Disease in Older Adults in Community
Authors: Wang Yuan , Xu Honglian , Geng Zihan , Geng Guilin , Zhang Feng 
Published: January 2023

Abstract
Introduction

Many studies have revealed the effect of medical history on dementia. The aim of this study was to explore the relationship between the history of disease and onset of dementia.

Methods

This was a multi-center, cross-sectional study, with 2595 older people enrolled. The onset of dementia was evaluated with Revised Hasegawa Dementia Scale (HDS-R). The diagnosed diseases after the age of 40 of the participants were investigated, including respiratory system diseases, digestive system diseases, cardiovascular diseases, endocrine disorders, genitourinary system diseases, nervous system disease, sensory system diseases, dental/oral diseases, bone/joint diseases and mental illnesses.

Results

Data of 2458 older adults were analyzed. Univariate analysis showed that diabetes, thyroid disease, mental illness, hearing loss, stroke, dental/oral disease, fracture/osteoporosis, and kidney disease were risk factors for dementia. After controlling for demographic sociological variables, diabetes, dental/oral disease, and fracture/osteoporosis were independent risk factors for dementia, with OR of 1.379 (95%CI 1.055–1.803), 1.556 (95%CI 1.131–2.142) and 1.314 (95%CI 1.008–1.714).

Conclusion

Diabetes, dental/oral disease and fracture/osteoporosis were main risk factors for dementia.
New construction of ternary locally repairable codes that are also LCD codes
Authors: Yang Ruipan , Li Ruihu , Fu Qiang 
Published: January 2023

Abstract
Efficient distributed storage systems are favorable for handling big data, and it is deployed across network of plenty of different storage nodes. In order to improving reliability and efficiency, locally repairable codes (LRCs) are especially beneficial. On the other hand, linear complementary dual (LCD) codes are proved useful for preventing malicious attacks, which helps to secure the system. For the purpose of enhancing repair effciency and security, we put LRC and LCD code together for consideration in this paper. A new construction of ternary LRCs that are also LCD codes is given. Many ternary LCD-LRCs are obtained, whose parameters are optimal in terms of the bound of LRC.
The Impact of Introducing a Curriculum in Social Emergency Medicine (SEM) at a Private Tertiary Care Center in Karachi, Pakistan.
Authors: SA Saima Ali , Saleem Syed Ghazanfar , Khatri Adeel , mukhtar sama 
Published: January 2023

Abstract
Introduction:
The ability to identify and address the negative Social Determinants of Health (SDH) through education in Social Emergency Medicine (SEM) can lead to improvement in Emergency Medicine (EMed) process flow, bounce back and acuity of patients. This can have far reaching implications in a resource limited country like Pakistan.
Method:
A SEM based curriculum was administered to the EMed residents at a tertiary care center in Karachi, Pakistan. Pre, Post and Delayed Post-test was conducted for knowledge of EMed residents and analyzed using Repeated Measures ANOVA (RMANOVA). Bounce back and acuity of patients was compared in the pre-intervention (2020) and post-intervention year (2021) using frequency with percentages.
Result:
A significant improvement was seen in post intervention (p < 0.001) and follow up knowledge (p < 0.001) of residents. Bounce back rate was higher in 2020, pre SEM curriculum (43%) as compared to the post SEM curriculum year 2021 (27.7%). The acuity at bounce back was P1 (more seriously ill) in 826 (47.2%) and P2 in 532 (30.4%) in 2020 out of the 125 (7.1%) patients with Acuity P1 at their Index visit (p < 0.001). In 2021, this reduced to Acuity P4 (less seriously ill) in 65.2% patients with their initial Acuity at Index Visit being P3 in 301 (65.6%) and P2 in 97 (21.1%) (p < 0.001).
Conclusion:
The study highlights the beneficial impact of an educational intervention in SEM upon the bounce back and acuity of patients in the EMed department of a low resource setup. This can be scaled up to other EMed departments across Pakistan for the improvement of EMed process flow and Key Performance Indicators (KPIs).
The pathogenesis of common Gjb2 mutations associated with human hereditary deafness in mice
Authors: Li Qing , Cui Chong , Liao Rongyu , Yin Xidi , Huang Bowei , Cheng Yanbo , Wang Daqi , Wang Liqin , Yan Meng , Zhou Jinan , Zhao Jingjing , Tang Wei , Wang Yingyi , Wan Xiaohan , Lv Jun , Li Jinsong , Li Huawei , Shu Yilai 
Published: January 2023

Abstract
Mutations in GJB2 (Gap junction protein beta 2) are the most common genetic cause of non-syndromic hereditary deafness in humans, especially the 35delG and 235delC mutations. Owing to the homozygous lethality of Gjb2 mutations in mice, there are currently no perfect mouse models carrying Gjb2 mutations derived from patients for mimicking human hereditary deafness and for unveiling the pathogenesis of the disease. Here, we successfully constructed heterozygous Gjb2+/35delG and Gjb2+/235delC mutant mice through advanced androgenic haploid embryonic stem cell (AG-haESC)-mediated semi-cloning technology, and these mice showed normal hearing at postnatal day (P)28. A homozygous mutant mouse model, Gjb235delG/35delG, was then generated using enhanced tetraploid embryo complementation, demonstrating that GJB2 plays an indispensable role in mouse placenta development. These mice exhibited profound hearing loss similar to human patients at P14, i.e., soon after the onset of hearing. Mechanistic analyses showed that Gjb2 35delG disrupts the formation of intercellular gap junction channels and impairs mechanoelectrical transduction of the cochlea rather than affecting the survival and function of hair cells. Collectively, our study provides ideal mouse models for understanding the pathogenic mechanism of DFNB1A-related hereditary deafness and opens up a new avenue for investigating the treatment of this disease.
Employing carbon quantum dots to combat cytomegalovirus
Authors: Bulat Tanja , Zmejkoski Danica , Marković Zoran , Satzinger Melissa , Kovač Janez , Strobl Birgit , Milivojević Dušan , Marković Biljana Todorović 
Published: January 2023

Abstract

Carbon quantum dots (CQDs) are well known as a promising therapeutic agent due to their excellent pro-oxidant, antioxidant, antibacterial and anticancer properties under visible light irradiation. This material is easy to produce by several bottom-up or top-down methods. In this study, we used citric acid as starting precursor to synthesize aqueous carbon quantum dots dispersion by pyrolysis at 210 oC. Atomic force microscopy and XPS analyses revealed that CQDs synthesized are quasi-spherical with typical diameter of 9 nm and lots of C-O and C = O functional groups distributed over the basal plane and edges of the dots. Here, we investigated the antiviral properties of CQDs against cytomegalovirus (CMV). The pre-treatment with CQDs upregulates interferon-stimulated genes (ISG), resulting in better virus control. Cellular defence against cytomegalovirus of CQDs pre-treated cells is increased in a dose-dependent manner. Our results reveal high biocompatibility and potent in vitro antiviral properties of CQDs.
Risk factors for extended-spectrum beta-lactamase-producing Enterobacteriaceae in community-acquired urinary tract infections in children and susceptibility to commonly used antibiotic treatments
Authors: Rizik Suha , Kassis Imad , Makhoul Nadeen , Dabaja-Younis Halima 
Published: January 2023

Abstract
Purpose
Enterobacteriaceae producing extended-spectrum beta-lactamase (ESBL) are common pathogens of UTI in children and their prevalence is increasing worldwide. The aim of this study was to determine risk factors for ESBL-positive UTI and susceptibility to antibiotic treatments.
Methods
A retrospective cohort study conducted at Rambam Health Care Campus, a tertiary hospital in northern Israel. The study included patients younger than < 18 years old and ESBL positive UTI between January 2017 and December 2019. Patient demographics, previous antibiotic treatment, previous UTI episode, genitourinary tract abnormalities, identified organisms in urine cultures, and sensitivity to antibiotics were recorded.
Results
A total of 570 children who contributed 639 episodes of community-acquired ESBL UTI with 661 Enterobacteriaceae isolates. The median age was 1.3(IQR:0.69–5.9) years. Female comprised 87.9% of the patients. ESBL isolates were identified in 56 (9.8%) patients. Higher rates of resistance to oral antibiotic treatments were found in the ESBL-positive group compared to the ESBL-negative group; amoxicillin-clavulanic acid (65.2% vs 22.7%, p < 0.001, OR = 6.84), trimethoprim-sulfamethoxazole (59.4% vs 17.6%, p < 0.001, OR = 6.84), ciprofloxacin (34.8% vs 4.5%, p < 0.001, OR = 11.43), and to piperacillin-tazobactam (27.5% vs 6.4%, p < 0.001, OR = 5.54). Neither group was resistant to amikacin or carbapenem. Risk factors for ESBL-positive UTI were antibiotic treatment within the last three months (p = 0.002, OR = 3.68, CI:1.63–8.31) and known ESBL carriage (p < 0.001, OR = 13.18, CI:4.25–40.94).
Conclusions
Known ESBL carriage and recent antibiotic treatment were risk factors for ESBL UTI. High rate of resistance to oral empiric and prophylactic antibiotic treatments was detected. Amikacin as initial treatment in anticipation of culture susceptibility is reasonable.
Conservative rehabilitation therapy for respiratory dysfunction due to phrenic nerve sacrifice during resection of massive mediastinal tumor
Authors: Fang Yu , Wu Jun , Zhang Maolin , Yang Yang , Yao Lijun , Liu Lu , Luo Jun , Li Linjun , Zhang Cheng , Qin Zhiming 
Published: January 2023

Abstract
Background: Cases of respiratory dysfunction due to phrenic nerve sacrifice during resection of massive mediastinal tumor have rarely been studied in detail. Diaphragmatic dysfunction in such cases can lead to potentially fatal respiratory and circulatory disturbances. Therefore, timely diagnosis and intervention are important. Conservative rehabilitation therapy is the first choice for respiratory dysfunction due to diaphragmatic dysfunction.
Case presentation: We present three patients with respiratory dysfunction due to phrenic nerve sacrifice during resection of massive mediastinal tumor. The diagnostic methods and therapeutic procedures for diaphragmatic dysfunction for each patient are described in detail. This study highlights the role of ventilator support combined with physical therapy in the treatment of respiratory dysfunction in such cases. The diagnosis of diaphragmatic dysfunction as well as the risk assessment of phrenic nerve involvement are also discussed. The modalities of ventilator support, including modes and parameters, are listed.
Conclusions: This study provides experiences of diagnosis and treatment of respiratory dysfunction due to phrenic nerve sacrifice during resection of massive mediastinal tumor. Timely diagnosis of diaphragmatic dysfunction primarily relies on clinical manifestations and radiography. Conservative rehabilitation therapy can improve or restore diaphragmatic function in majority of patients, and avert or delay the need for surgical intervention. Preoperative assessment of the risk of phrenic nerve involvement is important in such cases.
Transfer Learning Analysis For Predicting Soil Texture Classes From Soil Images
Authors: Srivast Pallavi , Shukla Aasheesh , Bansal Atul 
Published: January 2023

Abstract
Soil texture is one of the crucial characteristic in determining soil health. Classifying soil texture manually 1 is expensive, time consuming and requires experienced experts who are often limited available. Multiple machine leaning algorithms are proposed in the recent past to hold up a fully automated soil texture classification in 12 or lesser classes using soil images. Among such algorithms research on deep neural networks (DNNs) has been explored less. Wherever these DNNs are applied, they are used in isolation. Limited efforts are made to transfer the knowledge from 5 DNN of some other application and reuse the pre-trained network. In this work, concept of transfer learning is 6 investigated in soil texture prediction. Inceptionv3, ResNet50 and ResNet152 are trained on soil image dataset which 7 consists of images acquired from agricultural fields of multiple crops. It also shows analysis of different image 8 processing based segmentation techniques.
Repurposing celecoxib for ovarian cancer treatment by targeting survivin signaling
Authors: Chuwa Agapiti Hipoliti 
Published: January 2023

Abstract
Background
Ovarian cancer is the leading cause of deaths among gynecologic cancers. With a five-year survival rate just slightly above 45% and high rates of chemo-toxicity and chemo-resistance, the search for novel, more effective, and less toxic therapeutic approaches is thus imperative. In the current study, we aimed to explore the potential antitumor effect of a COX-2 inhibitor, celecoxib, using a panel of ten ovarian cancer cell lines derived from varying histology.
Methods
We analyzed anti-proliferative effect of celecoxib by cell viability assay using WST-8 (water-soluble tetrazolium salt solution). The compound’s effect on cell cycle progression and apoptosis were evaluated by flow cytometry. Western blotting was employed to explore its influence on apoptosis-related genes.
Results
Celecoxib significantly and, in a dose-dependent manner, inhibited proliferation of all analyzed ovarian cancer cell lines at IC50 ranging from 17µm ~ 45µm irrespective of their histological characteristics, arrested the cell cycle, and induced apoptosis (p < 0.001, treated vs. DMSO). Further exploration revealed that treatment of the cells with celecoxib caused cleavage of caspase-3 and down-regulation of survivin, the effects that were comparable across all analyzed cell lines and independent to autophagy.
Conclusions
The findings confirm the antitumor effect of celecoxib against a panel of ovarian cancer cells of varying histology by targeting the anti-apoptotic protein, survivin, and suggest that this may serve as a novel targeted therapeutic approach for ovarian cancer. Large-scale clinical trials are therefore warranted to further evaluate its efficacy, and for optimization.
Development of a risk prediction model for subsequent infection after colonization with carbapenem-resistant Enterobacterales: a retrospective cohort study
Authors: Zheng Guanhao , Cai Jiaqi , Deng Han , Yang Haoyu , Xiong Wenling , Bai Hao , He Juan 
Published: January 2023

Abstract

Background
Colonization of carbapenem-resistant Enterobacterale (CRE) is considered as one of vital preconditions for infection, with corresponding high morbidity and mortality. It is indispensable to construct a reliable prediction model and develop preventive and therapeutic strategies for those high-risk infected CRE carriers.
Methods
A retrospective cohort study was conducted in two Chinese tertiary hospitals for patients with CRE colonization from 2011 to 2021. Univariate analysis and the Fine-Gray subdistribution hazard model were utilized to identify potential risk factors for CRE-colonized infection, while death was the competing event. A nomogram was established to predict 30-day and 60-day risk of CRE-colonized infection.
Results
879 eligible patients were enrolled in our study and divided into training (n = 761) and validation (n = 118) group, respectively. There were 196 (25.8%) patients suffered from subsequent CRE infection within 20 (interquartile range [IQR], 14–32) days after detection of colonization. Multisite colonization, polymicrobial colonization, catheterization and receiving albumin after colonization, concomitant respiratory diseases, receiving carbapenems and antimicrobial combination therapy before CRE colonization within 90 days were reserved in final model. Model discrimination and calibration were acceptable for predicting the probability of 60-day CRE-colonized infection in both training (area under the curve [AUC], 74.7) and validation dataset (AUC, 81.1). Decision-curve analysis revealed a significantly better net benefit in current model. Our prediction model is freely available online at https://ken-zheng.shinyapps.io/PredictingModelofCREcolonizedInfection/.
Conclusions
Our nomogram has a favorable predictive performance, which is deemed as a meaningful clinical tool for early identification of CRE carriers in high-risk status of subsequent infection.
Research on Production Capacity Planning Method: A case study from the Baorixile Open-pit Coal Mine in Northeast China
Authors: LIU Guangwei , GUO Weiqiang , CHAI Senlin , Li Jiaming 
Published: January 2023

Abstract
The production capacity of open-pit coal mines is an important parameter of mine design and development. Production capacity planning is closely related to the economic benefits of mining enterprises. Therefore, it is greatly significant for open-pit coal mines to determine a reasonable production capacity. Determining reasonable production capacity is a complex system engineering problem. Involving the resource conditions of the mining area and various technical and economic factors inside and outside the mining area, it’s of great necessary for open-pit coal mines to combine the shape of the mining boundary to make a reasonable plan for the mining district division and the mining procedure. To rationally plan the production capacity of open-pit coal mines, this study analyzes the relationship among the working face length, the annual advancing speed and the production capacity for the first time, constructs a production capacity function relationship model, and determines the influence of coal seam thickness and working face length on production capacity under the constraints of mining range. The Baorixile open-pit coal mine as an example to illustrate an engineering application in detail. According to the distribution and mining situation of coal seams in the mining area, the remaining unmined parts are divided into four regions. The established function model is used to analyze each region's production capacity, and the four regions' production capacity ranges are determined respectively. On this basis, three mining district division plans for the Baorixile open-pit coal mine are proposed. By analyzing and comparing the stripping ratio, service life of the mining district, fault influence, difficulty of transition connection in the mining districts, the convenience of transportation system layout and other indexes and influencing factors of each plan. Plan 3 is determined to be the technically and economically feasible optimal plan for the mining district division and the mining procedure. According to the capacity relationship of each region, the production capacity planning results of each mining district in Plan 3 is determined as follows: the production capacity of the 3rd mining district is determined to be 30 ~ 35 million t/a, the production capacity of the 4th mining district in Region 1 is 20 ~ 31 million t/a, and the production capacity in Region 2 is 24 ~ 33 million t/a, the production capacity of the 5th mining district is 20 ~ 27 million t/a. The practical performance of the relationship model of production capacity in open-pit coal mines is proved.
Isoprothiolane advances improvement of color through gibberellic acid metabolism in satsuma mandarin (Citrus unshiu Marc.).
Authors: Kondo Satoru , Tomiyama Hiroyuki , Oda Risa , Saito Takanori , Ohkawa Katsuya , Ohara Hitoshi , Aramaki S , Inoue T , Ohtsuka Takashi 
Published: January 2023

Abstract
The functions of isoprothiolane (IPT), which is a fungicide against rice blast, in carotenoid accumulation were examined in satsuma mandarin fruit (Citrus unshiu Marc). Whole trees were treated with IPT at 25 days before harvest. Concentrations of gibberellic acid-1 (GA1) and GA4 in the flavedo of IPT-treated trees were significantly decreased at 5 days after treatment (DAT) compared to the untreated control. The expressions of CitGA20ox1 in IPT-treated flavedo were lower than those in the untreated controls at 5 and 25 DAT. The CitGA3ox expressions in IPT-treated flavedo were lower than those in the untreated control at 5 DAT. ABA concentrations in IPT-treated flavedo were significantly higher than those in the untreated control at 25 DAT. The concentrations of b-cryptoxanthin in IPT-treated flavedo were higher than those in the untreated control at 25 DAT. The chlorophyll concentrations of IPT-treated flavedo were lower than those in the untreated control at 5 and 20 DAT. These results suggest that IPT advances b-cryptoxanthin accumulation through the regulation of endogenous GA1 and GA4 based on the inhibition of CitGA20ox1 and CitGA3ox expressions. It is possible that IPT can be utilized to improve coloration in other citrus fruit.
Dynamic and Context-Dependent Stock Price Prediction Using Attention Modules and News Sentiment
Authors: Königstein Nicole 
Published: January 2023

Abstract
The growth of machine-readable data in finance, such as alternative data, requires new modeling techniques that can handle non-stationary and non-parametric data. Due to the underlying causal dependence and the size and complexity of the data, we propose a new modeling approach for financial time series data, the αt-RIM (recurrent independent mechanism). This architecture makes use of key-value attention to integrate top-down and bottom-up information in a context-dependent and dynamic way. To model the data in such a dynamic manner, the αt-RIM utilizes an exponentially smoothed recurrent neural network, which can model non-stationary times series data, combined with a modular and independent recurrent structure. We apply our approach to the closing prices of three selected stocks of the S\&P 500 universe as well as their news sentiment score. The results suggest that the αt-RIM is capable of reflecting the causal structure between stock prices and news sentiment, as well as the seasonality and trends. Consequently, this modeling approach markedly improves the generalization performance, that is, the prediction of unseen data, and outperforms state-of-the-art networks such as long short-term memory models.