bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between tooth loss and frailty among Chinese older adults: The mediating role of dietary diversity
Authors: Xu Xin , Zhao Yuan , Wu Bei , Pei Yaolin , Gu Danan 
Published: September 2022

Abstract

Background
This study aimed to examine the association between tooth loss and frailty among Chinese older adults and the mediating role of dietary diversity in this association.
Methods
Data from five waves of the Chinese Longitudinal Healthy Longevity Survey (2005–2018) were used in this study. Multilevel generalized structural equation models were used to assess the relationship between tooth loss and frailty index, and the mediation effect of dietary diversity.
Results
Severe tooth loss was associated with frailty among Chinese older adults after adjusting for demographic characteristics, socioeconomic status, family support, and healthy lifestyles (OR = 1.495, p < 0.001), indicating that a higher level of tooth loss was associated with more frailty among older Chinese. When dietary diversity was added in the model, the OR of severe tooth loss decreased from 1.495 to 1.470 but remained significant. GSEM verified that 5.4% of the association between tooth loss and frailty was mediated by dietary diversity.
Conclusions
This study improve current knowledge regarding the impact of tooth loss on frailty among Chinese older adults. Future intervention strategies designed to improve healthy diet may have preventive effect against the risk of frailty among Chinese older adults with severe tooth loss.
Long-Term Effects of Radical Institutional Overhauls: Evidence from the Mexican-American War
Authors: Dothan Shai , Kovac Mitja , Spruk Rok 
Published: September 2022

Abstract
This paper examines the impact of radical institutional reforms on long-term development of property rights and on institutions regulating contracting. The paper demonstrates that the Mexican-American War (1846-1848) had a significant effect on the institutional development of Mexico. The war partially removed the legal and economic barriers that protected the old oligarchic elites in Mexico and paved the way for the modernization of legal and commercial codes. The analysis exploits the within-country variation in the presence of US troops during the Mexican-American war across Mexican states and cities. Using propensity score and nearest neighbour matching techniques with orthogonal covariates, the paper presents evidence of the long-term institutional implications of the presence of troops. Troops-controlled areas have less complex business registration procedures, better quality of land administration, broader access to property rights, markedly better quality of the judicial process, and lower costs of enforcing contracts than the areas without troops’ presence. We show that the presence of US troops generated a positive and radical historical shock for institutional development that survived to the present day and made the return to the previous status quo nearly impossible. The positive effects of troops’ presence are robust to a variety of specification checks and are particularly large for smaller cities.
JEL Classification: C31, D74, N16, N46,
Applications of Tissue Nano-Transfection Technology (TNT): a systematic review
Authors: Hagar Eman , Hagar Ahmed Hassan , Hagar Dina Hassan , Hagar Walaa Hassan 
Published: September 2022

Abstract
Aim

The purpose of this systematic review was to provide an overview of recent advances in applications of Tissue Nano-transfection and to assess its applicability in the treatment of various diseases.

Materials and methods

A systematic literature search was conducted in 2 electronic databases (PubMed and Science direct). The research findings were incorporated from inception. Initial screening was performed to select articles for review based on title and abstract. The full texts of selected articles were then evaluated, and relevant articles were chosen to be included in this review.

Results

29 articles were identified during the literature search. There are 16 From Science Direct and 13 in PubMed. This review included 8 research articles.

Conclusion

TNT advancement has made a positive impact on the future of treatment of certain diseases by providing one-touch and in-site treatments. There is a need to scale up TNT experiments on animals and humans, as well as testing this approach on a broader range of diseases. Although tissue Nano-transfection technology is still in its early stages, it has already proven to be a highly promising approach in the field of regenerative medicine.
Comparative study on influenza time series prediction models in a megacity from 2010 to 2019: Based on SARIMA and deep learning hybrid prediction model
Authors: Yang Jin , Yang Liuyang , Li Gang , Du Jing , Ma Libing , Zhang Ting , Zhang Xingxing , Yang Jiao , Feng Luzhao , Yang Weizhong , Wang Chen 
Published: September 2022

Abstract
Background: It is very important to establish more accurate influenza prediction models in megacities. The purpose of this study was to compare the different time series prediction models for influenza from 2010 to 2019 in Beijing, China.
Methods: We took the influenza-like illness rate (ILI%), the influenza positive rate and the product of ILI% and influenza positive rate as dependent variables respectively. Subsequently, and model performances of summer point, peak bottom point and peak rising point were analyzed. After selecting the best prediction point, we compared the model performances of different parameters at that point using the SARIMA model. Then, the best model selected by SARIMA was compared with the hybrid LSTM model.
Results: Between the 26th week of 2010 and the 25th week of 2019, there were 6,753,116(1.24%) ILI patients, 15,883(16.75%) of which were positive for influenza.The trends and the peak times of ILI%, the influenza positive rate and the product of ILI% and influenza positive rate were roughly the same. The SARIMA model of the peak rising point was better than those of the summer point and peak bottom point. The hybrid LSTM model performed better than the selected best SARIMA model in terms of ILI%, influenza positive rate and the product of ILI% and influenza positive rate. Also, the hybrid LSTM model could maintain a good prediction effect from the 1st to the 26th week.. On the contrary, the prediction effect of the SARIMA model decreased significantly with the extension of the prediction period.
Conclusions: Our results suggested that the prediction effect of the hybrid LSTM model was better than the SARIMA model, in terms of ILI%, influenza positive rate and the product of ILI% and influenza positive rate. SARIMA was more suitable for short-term prediction, while the hybrid LSTM model showed obvious advantages in long-term prediction. Our research could help to improve the prediction and early warning of influenza and other respiratory infectious diseases.
Diatomite inspired silica aerogel deposited in cork cells for mineralization to promote carbon capture and increase the yield of high value-added products during pyrolysis
Authors: Zhong Yijing , Zhai Wenxiang , Wei Xinli 
Published: September 2022

AbstractHow to achieve a balance between energy conversion and CO2 emission in biomass materials is one of the urgent problems to be solved. Inspired by diatoms, a simple method was used to deposit silica aerogel mineralized layer in cork cells. The thermal decomposition behavior and products of four kinds of corks CS-P (cork ofQuercus suber)、CV-P (cork ofQuercus variabilis B1)、CSS-P (cork ofQuercus suberdeposited with silica aerogels) and CSV-P (cork ofQuercus variabilis B1deposited with silica aerogels)were systematically studied, and the carbon capture of silica aerogel in cork and the production mechanism of high-value products during pyrolysis were deeply studied. Interestingly, this method has dual effects. In the pyrolysis process, the existence of silica aerogel significantly reduces the emissions of CO2 and aldehyde, while the output of aromatic hydrocarbons and other products with added value is significantly increased. This work provides a novel and effective method to convert and manage biological waste resources to achieve environmental sustainability and carbon neutrality.
Impact of standard-dose dipeptidyl peptidase-4 inhibitors on the incidence of graft-versus-host disease among diabetes mellitus patients undergoing allogeneic hematopoietic cell transplantation: a KSGCT multicenter retrospective study
Authors: Kanda Yoshinobu , Kimura Shun-ichi , Shimizu Hiroaki , Miyazaki Takuya , Sakurai Masatoshi , Tanoue Susumu , Kayamori Kensuke , Ohwada Chikako , Yoshimura Kazuki , Nakasone Hideki , Ohashi Takuma , Shono Katsuhiro , Tachibana Takayoshi , Hatano Kaoru , Okada Keigo , Kimura Yuta , Seo Sachiko , Doki Noriko , Tanaka Masatsugu , Hatta Yoshihiro , Takahashi Satoshi 
Published: September 2022

Abstract
This study aimed to evaluate the impact of standard-dose dipeptidyl peptidase-4 inhibitors (DPP-4i) on the incidence of graft-versus-host disease (GVHD) after allogeneic hematopoietic cell transplantation (HCT). We retrospectively evaluated 207 diabetes mellitus patients undergoing allogeneic HCT between 2010 and 2019. The 100-day cumulative incidences (CI) of grade II–IV acute GVHD (aGVHD) in patients who took DPP-4i from day − 1 to 14, those who did not, and those who discontinued DPP-4i within 10 days after HCT because of difficulty taking the medicine were 33.9%, 32.8%, and 60.0% (P = 0.063), respectively. With regard to chronic GVHD (cGVHD), taking DPP-4i between days 21 and 60 was associated with a trend toward lower incidence of cGVHD (1-year CI: 25.4% vs. 35.6%, P = 0.094). In a multivariate analysis, the administration of DPP-4i between days 21 and 60 was significantly associated with lower incidence of cGVHD (hazard ratio 0.53, 95% confidence interval 0.30–0.96, P = 0.035). It was difficult to interpret the impact of standard-dose DPP-4i on the development of aGVHD since an inability to continue oral medication was significantly associated with higher incidence of aGVHD. On the other hand, taking DPP-4i over days 21–60 may suppress the development of cGVHD.
Risk Characterization Model &amp; Visualization System in Aluminum Production
Authors: Chen Youlong , Zhang Yankai , Sun Zhenming , Hou Yunbing , Gao Dong , Li Jun 
Published: September 2022

Abstract

The electrolytic aluminum operation accidents have caused great losses to the country and people. Therefore, taking two typical accidents of explosion and leakage in electrolytic aluminum production as the research object, the form of accident risk characterization was explored and a risk characterization visualization system was designed. Based on the methods of risk assessment and characterization, the likelihood and the consequence of the accident were studied. The influencing factors of likelihood and a kind of Euclidean distance formula were used to characterize the likelihood. The consequence portion was characterized by two components, with one being the failure degree determined by the accident and the other being the exposure degree of people and equipment. The intensity of event was used to characterize the failure degree and the spatial search model was used to characterize the exposure degree. Finally, the visual system of electrolytic aluminum operation accidents was established that based on the risk characterization model.
Development of a Reusable CaO/Fe3O4 Heterogeneous Catalyst for Biodiesel Production
Authors: Aleman-Ramirez J.L. , Reyes-Vallejo O. , Okoye Patrick U. , Sanchez-Albores R. , Maldonado-Álvarez A. , Sebastian Pathiyamattom J. 
Published: September 2022

Abstract
Predominantly CaO derived from eggshell was mixed with Fe3O4 by ball milling for 3 hours (h) followed by annealing at different temperatures (200-1000 oC) for 2 h to produce a magnetic catalyst. The catalyst was deployed to synthesis biodiesel via transesterification reaction. The catalysts characterization result from the X-ray diffraction and Raman analysis revealed that the increasing annealing temperature facilitated the oxidation of Fe3O4 to maghemite (Fe2O3) phase. Also, increasing temperature lead to a decrease in the catalyst surface area due to the increasing ridgity and loss of pores. Under optimal conditions of 65 oC, methanol/oil molar ratio of 12:1, 4 wt.% catalyst loading, 95.5% biodiesel yield can be achieved under 120 min reaction time. The catalyst could be reused for seven times with minimal loss in catalytic activity. The synthesized biodiesel satisfactorily complied with the international standards of ASTM-D-6751 and EN-14214.
Semantic malware classification using convolutional neural networks
Authors: Martins Eliel , Santana Ricardo , Higuera Javier Bermejo , Higuera Juan Ramón Bermejo , Montalvo Juan Antonio Sicilia 
Published: September 2022

Abstract
This paper addresses malware classification into families using static analysis and a convolutional neural network through raw bytes. Previous research indicates that machine learning is an interesting approach to malware classification. The neural network used was based on the proposed Malconv, a convolutional neural network used for malware classification by training the network with the whole binary. Minor modifications were made to get better results and apply them to a multi-classification problem. Four models were trained with data extracted from Portable Executable malware samples labeled into nine families.These data were extracted in two ways: according to the semantic variation of bytes and using the entire file. The trained models were used for testing to check generality. The results from these four proposed models were compared and analyzed against models trained according to similar research. We concluded that the header is the most important part of a PE for malware identification purposes.
The Dilemma Of Feeding During The Treatment Of Patent Ductus Arteriosus With Oral Ibuprofen In Preterm Infants ≤ 30 Weeks Of Gestation- A Randomized Controlled Trial.
Authors: Kaur Samandeep , Manerkar Swati , MONDKAR JAYASHREE , Kalamdani Pavan , Patra Saikat , Kalathingal Thaslima 
Published: September 2022

Abstract
Objectives: To evaluate the effect of minimal enteral feeding (MEN) versus withholding feeding on time to reach full feeds during treatment of hs-PDA with oral ibuprofen in infants ≤30 weeks.

Study Design: We performed a single-center, randomized control trial of 126 premature infants born ≤30 weeks gestation , <7 days of age with hs-PDA comparing continuation of MEN(n= 64) vs no feeding(n=62) during treatment. The primary outcome was time to reach a feed volume of 150ml/kg/day. Secondary outcomes included were episodes of feed intolerance, GI bleed, NEC and other comorbidities.

Results: There was no difference in the time to reach full feeds with a median age of 16 days in both groups(p=0.573). Incidence of feed intolerance, NEC and other secondary outcomes was also similar in two groups.

Conclusions: Continuing MEN during treatment of hs-PDA with oral ibuprofen does not increase gastrointestinal morbidities in very preterm infants.
Regression independent of non-cavitated caries lesion depth in a retrospective study of the biomimetic P 11 -4 self-assembling peptide in school children
Authors: Godenzi Denisa , Bommer Claudine , Heinzel-Gutenbrunner Monika , Keeper Jeremy Horst , Peters Kerstin 
Published: September 2022

Abstract
Self-assembling peptide (SAP) P11-4 was introduced to treat initial caries lesions by guiding hydroxyapatite regeneration within the lesion. The objective was to assess the effectiveness in a practical clinical setting. Caries lesions in permanent teeth treated with monomeric and polymeric SAP P11-4 between May 2015 and October 2020 were retrospectively analyzed at the lesion and child levels by bitewing radiography for changes in lesion stage, opacity, and cavitation/restoration. 225 children aged 10–19 years with a total of 413 proximal lesions in posterior teeth, were followed for 0.4–5.5 years (mean (standard deviation): 13 (7) months). Regression occurred in 39% of E1, 37% of E2, and 40% of D1 caries lesions. The proportion of lesions surviving after one year was 0.96 (95% CI: 0.94–0.98), and after two years, it was 0.91 (95% CI: 0.88–0.94). SAP P11-4 is a safe, biomimetic treatment for initial caries lesions in permanent teeth that remineralizes in the deepest zone of a caries lesion and can easily be introduced into routine dental practice. Present real-world clinical data complement and confirm previously published clinical trials, demonstrating that SAP P11-4 is tooth-preserving and can lead to recovery to a healthy tooth stage.
Real-time reaction monitoring of Azide-Alkyne cycloadditions us-ing benchtop NMR-based Signal Amplification by Reversible Ex-change (SABRE)
Authors: Jeong Hye Jin , Min Sein , Baek Juhee , Kim Jisu , Chung Jean , Jeong Keunhong 
Published: September 2022

Abstract
Rufinamide is new antiepileptic drugs (AED), relatively well absorbed in the lower dose range, and is currently being used in antiepileptic medications, as well as containing a triazole structure. Triazoles are heterocycles containing three nitrogen atoms in a five-membered aromatic ring. Triazole derivatives can interact with various enzymes and receptors in biological systems via diverse non-covalent interactions, thus inducing versatile biological effects. Strain-promoted azide-alkyne cycloaddition (SPAAC) is a significant method for obtaining triazoles, even under physiological conditions, in the absence of a copper catalyst. To confirm the progress of chemical reactions under biological conditions, research on reaction monitoring at low concentrations is essential. This promising strategy is gaining acceptance for applications in fields like drug development and nanoscience. We investigated the optimum Ir-catalyst and magnetic field for achieving maximum proton hyperpolarization transfer in triazole derivatives. These reactions were analyzed using signal amplification by reversible exchange (SABRE) to overcome the limitations of low sensitivity in nuclear magnetic resonance spectroscopy, when monitoring copper-free click reactions in real time. Finally, a more versatile copper-catalyzed click reaction was monitored in real time, using a 60-MHz benchtop NMR system, in order to analyze the reaction mechanism.
Loss of Tumor Suppressor Menin Expression in High Grade Cholangiocarcinomas
Authors: Lairmore Terry C. , Abdulsattar Jehan , Benedetti Arrigo , Shi Runhua , Huang Shile , Khalil Md Imtiaz , Witt Stephan N. 
Published: September 2022

Abstract
Background: MEN1, which codes for the protein menin, is a tumor suppressor in neuroendocrine tissue. In cholangiocarcinoma (CCA) cell lines the overexpression of menin decreased proliferation, angiogenesis, migration, and invasion in vitro and in xenografts, but its expression in CCA tumor tissue samples is not established.
Objective: Determine whether the expression of menin correlates with disease progression in patient samples of CCA in a tissue microarray (TMA) by immunohistochemical (IHC) staining.
Results: IHC analysis of 97 biopsies revealed that low-grade tumors (Grade I) exhibited intense, diffuse, finely granular nuclear menin immunoreactivity with a pronounced linear perinuclear pattern (mean IHC score = 2.0), whereas high-grade tumors (Grade III) mostly lacked such staining (mean IHC score = 0.3). Collectively, there was a significant inverse association between tumor grade and menin staining (P = 0.0005). We also found a significant association between fibrosis status and menin staining, in that, 80.9% of patients without fibrosis had no menin staining, whereas 92.6% patients with fibrosis exhibited menin staining (P < 0.0001). No association was found between fibrosis status and grade. Overall, menin expression is inversely associated with tumor grade and positively associated with fibrosis status.
Solutions of 1D Hyperbolic Quasi-linear Partial Differential Equations by Variational Iteration Method
Authors: Sahu Subrata Kumar , Derke Simon , Duressa Abraham 
Published: September 2022

Abstract
In this paper, we have constructed one dimensional (1D) hyperbolic quasi-linear partial differential equations (HQLPDE) considering three cases. In the first two cases, we have considered the Cauchy data in the form of exponential curve. The initial value problem (IVP) is mentioned as sin x in the third case. All the three cases are associated with time. We have obtained the solutions by using variational iteration method (VIM). We found that the solutions represent flat surface during the initial stage. Further we found exponential surface in the 1st two cases where as the third case yield curved surface with respect to distance and time.
Mathematics subject classification: 35Lxx, 35L04
Alignment-free microbiome-based classification of fresh produce safety and quality
Authors: Liao Chao , Wang Luxin , Quon Gerald 
Published: September 2022

Abstract
Background: While next generation sequencing has enriched our knowledge about native microbial populations present in fresh produce, the loss of up to 50-70% of data during the alignment and denoising steps of data preprocessing may lead to the missing of important bacterial species information and decrease our ability to identify species associated with poor produce quality and contamination. Microbial studies are also often limited by small sample sizes, making generalization of results beyond individual studies difficult.
Results: In this study, we explored separate strategies to mitigate the challenges of data preprocessing and small sample sizes. First, we explored an alignment-free analysis strategy using k-mer hashes to identify DNA signatures predictive of produce safety (contaminated vs. non-contaminated) and produce quality (good-quality vs. decreasing-quality), and compared it against the amplicon sequence variant (ASV) strategy that uses a typical alignment and denoising step. Random forests (RF)-based classifiers were trained on publicly available fresh produce microbiome datasets with data preprocessed using either the k-mer hash or ASV approach. RF-based classifiers for fresh produce safety and quality using 7-mer hash datasets had significantly higher classification accuracy than those using the ASV datasets, supporting the hypothesis that data preprocessing strategies that keep more data (k-mer hash) retain more useful information about bacterial species than approaches that lose data during preprocessing (ASV). We also demonstrated that integrating multiple datasets together also led to higher classification accuracy compared to those trained with individual datasets. Integrated datasets also enabled the identification of more consistent and generalizable biomarkers (ASV, 7-mer hash, or bacterial taxa) associated with fresh produce safety and quality.
Conclusions:The proposed combination of integrating multiple datasets and leveraging an alignment-free 7-mer hash strategy substantially mitigates the loss of sequencing data due to the ASV denoising step and leads to better classification performance for fresh produce safety and quality. Results generated from this study lay the foundation for future studies that wish and need to incorporate and/or compare different microbiome sequencing datasets (generated from different studies or different laboratories) for the application of machine learning in the area of microbial safety and quality of food.