bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dietary Overall Antioxidant Intake Associates With All-Cause And Cause-Specific Mortality Among Adults With Depression: Result from the National Health and Nutrition Examination Survey (2005-2018)
Authors: Wang Wenjie , Shi Yuwei , Zhang Jiakai , Wang Yifeng , Martin Cheteu Therese Wabo , Yang Yang , He Wei , Zhu Shankuan 
Published: September 2023

Abstract
Background
Higher intake of individual antioxidant nutrients such as vitamins A, C, E, and selenium, etc., has been associated with mortality in the general population, but the association of overall antioxidant intake with mortality especially among depressed adults remains unclear. To investigate whether dietary overall antioxidant intake is associated with all-cause and cause-specific mortality among depressed adults.
Method
This study included 3051 US adults with depression, who participated in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. The depression scores (Patient Health Questionnaire-9, PHQ-9) were used to define depression and evaluate depression severity. Dietary antioxidant quality score (DAQs) and Dietary antioxidant index (DAI) were calculated based on the intakes of vitamins A, C, E, zinc, selenium, and magnesium. Multivariable-adjusted Cox proportional hazards regression models were used to estimate hazard ratios and 95% CIs for the associations of individual and overall antioxidant intakes with all-cause, cardiovascular disease (CVD) and cancer mortality among adults with depression.
Results
The weight mean age (SE) was 46.00 (0.39) and 1928 (63.7%) were women. Higher DAQs and DAI were significantly associated with lower depression scores (PHQ-9) at baseline (all Ptrend <0.05). For individual antioxidants, the significant negative associations of vitamin A and E with all-cause mortality were observed. For overall antioxidant intake, DAQs and DAI were inversely associated with all-cause and cancer mortality. Compared with participants in the lowest categories of DAQs and DAI, the corresponding HRs (95% CIs) in the highest categories were 0.63 (0.42–0.93) and 0.70 (0.49–0.98) for all-cause mortality, 0.39 (0.17–0.87) and 0.43 (0.21–0.88) for cancer mortality, respectively.
Conclusion
Dietary overall antioxidant intake was significantly associated with all-cause and cancer mortality risk. These findings suggest that comprehensive dietary antioxidant intake may improve depressive symptoms and lower mortality risk among adults with depression.
An Enhanced Simulated Annealing Algorithm for Topology Optimization of Double-Layer Grid Structures
Authors: Mashayekhi Mostafa , Ghasemi Hamzeh 
Published: September 2023

Abstract
Stochastic optimization methods have been extensively studied for structural optimization in recent decades. In this study, a novel algorithm named the CA-SA method, is proposed for topology optimization of double-layer grid structures. The CA-SA method is a hybridized algorithm combining the Simulated Annealing (SA) algorithm and the Cellular Automata (CA) method. In the CA-SA method, during the initial iterations of the SA algorithm, some of the preliminary designs obtained by SA are placed in the cells of the CA. In each successive iteration, a cell is randomly chosen from the CA. then, the "local leader" (LL) is determined by selecting the best design from the chosen cell and its neighboring ones. This LL then serves as the leader for modifying the SA algorithm. To evaluate the performance of the proposed CA-SA algorithm, two square-on-square double-layer grid structures are considered, with discrete cross-sectional areas. These numerical examples demonstrate the superiority of the CA-SA method over SA, and other meta-heuristic algorithms reported in the literature in the topology optimization of large-scale skeletal structures.
Accelerating Epilepsy Diagnosis and Prediction on EEG Signals with GPU-Based Frequency Domain Analysis and Resampling.
Authors: Romero Felipe , Lupión Marcos , Romero Luis F. , Sanjuan J. F. , Ortigosa Pilar M. 
Published: September 2023

Abstract
This paper underscores the importance of accurate seizure detection in epilepsy. Current diagnostic methods, such as Video-Electroencephalography, are often costly and time-consuming. However, recent research demonstrates the potential of artificial intelligence for seizure detection using EEG or ECG data. To overcome challenges related to high-frequency data acquisition, the paper proposes employing Fast Fourier Transform for frequency analysis and GPUs for efficient data processing, allowing for reduced sampling frequencies. These advancements enhance data storage, transmission, and research efficiency, thereby facilitating neural network training for epilepsy prediction and real-time execution. Ultimately, these innovations hold significant promise for improving medical care and enhancing the quality of life for epilepsy patients.
Comparison between primary anastomosis without diverting stoma and Hartmann’s procedure for colorectal perforation; a retrospective observational study
Authors: Omoto Ryosuke 
Published: September 2023

Abstract
Background
Hartmann’s procedure (HP) has been performed for colorectal perforation to avoid the risk of anastomotic leakage. Few reports have compared the safety between primary anastomosis without diverting stoma (PAWODS) and HP for colorectal perforation, and whether PAWODS or HP should be performed has remained controversial. We aimed to investigate the feasibility and safety of performing PAWODS in comparison to HP for colorectal perforation.
Methods
We retrospectively collected the data of 97 consecutive patients with colorectal perforation who underwent surgery from April 2010 to December 2020. PAWODS and HP were performed in 51 and 46 patients, respectively. Univariate and multivariate analyses were performed to compare the clinical characteristics and postoperative outcomes of patients treated with PAWODS with those treated with HP .
Results
In the multivariate analysis, low serum albumin (hazard ratio [HR] = 3.49 [95%CI = 1.247–9.757] P = 0.017) and left-sided colon and rectum perforation (HR = 16.8 [95%CI = 1.792-157.599] P = 0.014) were significantly associated with the decision to perform HP. There was significant difference in the mortality of the two groups (PAWODS vs. HP: 0% vs. 8.7%; P = 0.047). The severe morbidity rate (Clavien-Dindo III-V) was significantly higher in the HP group (PAWODS vs. HP: 10% vs. 30%; P = 0.020). In the PAWODS group, anastomotic leakage occurred in 5 of 51 patients (9.8%), 4 (8.7%) of whom required re-operation.
Conclusions
In appropriately selected patients, PAWODS could be safely performed with an acceptable rate of anastomotic leakage. The serum albumin level and site of perforation may be simple and useful factors for guiding decision-making on the surgical procedure.
Carbon stocks in coffee farms and secondary forest systems in the Peruvian Amazon rainforest
Authors: Vallejos-Torres Geomar , Gaona-Jimenez Nery , Ordoñez Luis , Lozano Andi , Mendoza-Caballero Wilfredo , Arévalo Luis A. , Saavedra-Ramírez Jorge , Macedo Wilder , Reategui Keneth , Baselly-Villanueva Juan R. , Marín César 
Published: September 2023

Abstract
Secondary forests and coffee cultivation systems with shade trees might have great potential for carbon sequestration as a means of climate change adaptation and mitigation. This study aimed to measure carbon stocks in coffee plantations under different managements and secondary forest systems in the Peruvian Amazon rainforest (San Martín Region). The carbon stock in secondary forest trees was estimated using allometric equations, while carbon stocks in soil, herbaceous biomass, and leaf litter were determined through sampling and laboratory analysis. The biomass carbon stock in secondary forests was 132.2 t/ha, while in coffee plantations with Inga sp. shade trees it was 118.2 t/ha. Carbon stocks were 76.5 t/ha in coffee with polyculture farming, and the lowest amount of carbon was found in coffee without shade trees (31.1 t/ha). The carbon sequestered by coffee plants in all agroforestry systems examined had an average of 2.65 t/ha, corresponding to 4.63 % of the total carbon sequestered, being the highest stored in the coffee system with Inga sp. shade trees. A higher content of glomalin-related soil proteins (GRSP) was found in coffee without shade trees, with 18.5 mg/g. This is evidence that Inga sp. is the most compatible model of shade system for coffee farms. We recommend the conservation of secondary forests due to the greater biomass and carbon storage, and establishing coffee plantations with Inga sp. shade trees for its integral benefits, such as climate change mitigation.
Tolerance of mouse cardiac tissue to the maximum dose of FLASH versus conventional radiation
Authors: Choi Min-Young , Kim Hyun , Kang Sang Koo , Lee Sang Jin , Jang Kyoung Won , Lim Heuijin , Lee Manwoo , Jeong Dong Hyeok , Moon Young Min , Kim Jin Young , Choi Chul Won , Yu Tosol , Jeon Wan 
Published: September 2023

Abstract
Background: FLASH radiation (average dose rate: >40 Gy/s) delivers ultrahigh doses of radiation, which are several times higher than the clinically used conventional (CONV) radiation doses (average dose rate: >5 Gy/min). This study aimed to investigate the potential benefits of FLASH radiation therapy and compare the effects of FLASH radiation at the maximum dose and CONV radiation on mouse cardiac tissue.
Methods: C57BL/6 mice were divided into three groups: control (0 Gy), FLASH (40 Gy/s), and CONV (0.067 Gy/s). The mice treated with 10 and 20 Gy of CONV or FLASH radiation were euthanized at 6, 12, and 16 months. The effect of FLASH radiation was evaluated by plotting the survival curve of irradiated mice. Radiated cardiac tissues were examined using Masson’s trichrome staining (MT) and immunohistochemistry. Fibrous scar formation and alpha-smooth muscle actin-positive areas were quantitatively evaluated separately in the left ventricle, septum, and right ventricle (RV).
Results: Shorter survival was observed in the 20 Gy CONV irradiation group than in the 20 Gy FLASH irradiation group. Histological evaluation revealed higher radiation-induced cardiac fibrosis in the RV of the 20 Gy CONV group than in the control, 10 Gy CONV and FLASH, and 20 Gy FLASH groups (P<0.05).
Conclusions: FLASH radiation was more effective than CONV radiation at higher doses and displayed a protective effect and greater cardiac tissue tolerance. The results of this study will help improve cancer treatment outcomes, reduce radiation side effects, shorten treatment duration, and add to radiation biology literature.
Mittag-Leffler state estimation of quaternion-valued fractional-order discrete-time memristive neural networks
Authors: Li Ruoxia , Cao Jinde , Li Ning 
Published: September 2023

Abstract

This article enquires into the state estimation of fractional-order memristive system with discrete time terms. In consideration of the discrete fractional calculus, we present a new efficient condition for the global Mittag-Leffler stability of the estimation error system. Moreover, using a functional that consist by the discrete fractional sum element, the stability condition is also obtained. It is a remarkable fact that the proposed method captures the contribution of a vector optimization method, which gives us a better grip on how to make the convex closure is meaningful. Simulation result is given in the end.
Zero Trust Context-Aware Access Control Framework for IoT Devices in Healthcare Cloud AI Ecosystem
Authors: Al-hammuri Khalid , Gebali Fayez , Kanan Awos , Mamun Mohammad , Hazratifard Seyed Mehdi , Alfar Hamza 
Published: September 2023

Abstract
It is essential for modern healthcare systems to utilize the Internet of Things (IoT) devices that facilitate and establish the infrastructure for smart hospitals and telehealth. The advancement in telehealth technology and the increasing penetration of IoT devices make them vulnerable to different types of attacks, which require additional research and development for security tools. This article proposes a zero trust context-aware framework to manage the access of the main components in the cloud ecosystem, the users, IoT devices and output data. The framework also considers regulatory compliance and maintains the chain of trust by proposing a critical and bond trust scoring assessment that is based on a set of features and cloud-native micro-services, including authentication, encryption, logging, authorizations and machine learning like the word2vec model within Cloud AI ecosystem.
Estimation of the Burr XII Model Parameters Based on Runge-Kutta Method
Authors: Maswadah M. 
Published: September 2023

Abstract
A new technique has been used for transforming the stationary equation into a differential equation. Thus, the Runge-Kutta method can be used to solve it. This method has been applied to the Burr type-XII model parameters based on a generalized progressive hybrid censoring scheme and compared with maximum likelihood and Bayes methods via Monte Carlo simulations. The simulation results are highly favorable to the Runge-Kutta method, which provides better estimates and outperforms the Bayes and maximum likelihood methods. Finally, two real datasets have been provided to demonstrate the efficiency of the proposed methods.
Analysis of hydrological regime evolution and ecological response in the Min River, China
Authors: Wang Hongxiang , Wang Baoliang , Yang Huan , Zhou Haotong , Chen Hao , Guo Wenxian 
Published: September 2023

Abstract

Natural fluctuation of the hydrological regime is the key to maintaining river ecosystem function. Given the shortcomings of previous studies on hydrological regime change and the ecological response of the Min River, this study combined two change degree evaluation methods and Budyko theory to quantify the degree of ecohydrological change and its driving factors. Ecological significance indicators (ecosurplus and ecodeficit) and the Shannon index (SI) were used to identify the characteristics of ecohydrological variation and ecological response mechanisms. The results showed the following: (1) The hydrological regime in the Min River basin had an abrupt change in 1993, with the overall alteration degree reaching 44%, which further led to a decrease in ecological surplus and an increase in the ecological deficit in ecological indicators. (2) Budyko's theoretical results show that climate change and human activities together lead to an 83.83 mm reduction in Min River runoff, with human activities contributing 54.20% of the change in the mean annual runoff, while rainfall and evapotranspiration contribute 43.88 and 1.92%, respectively. (3) The SI index indicates a decreasing trend in Min flow biodiversity. The results of the study can provide a reference for enhancing ecological protection and restoration in the Min River basin.
DESENVOLVIMENTO DE COMPETÊNCIAS DIGITAIS DA EDUCAÇÃO POR INTERMÉDIO DA TRANSFERÊNCIA DE TECNOLOGIA
Authors: Silva Luan Carlos Santos , Lima Valdimeire de Oliveira , Pessoa Débora Luana Ribeiro , Caldeira Rebeca Teles , Zaparoli Dilene 
Published: September 2023

Este artigo científico discute a importância da transferência de tecnologia para o desenvolvimento de competências digitais na educação. Com o rápido avanço da tecnologia, é essencial que os educadores e estudantes estejam preparados para lidar com as ferramentas digitais. A transferência de tecnologia pode ajudar a alcançar esse objetivo, permitindo que instituições de ensino tenham acesso a equipamentos e software atualizados. O artigo apresenta um estudo exploratório aplicado para docentes de escolas públicas do ensino fundamental. Os resultados mostraram que a transferência de tecnologia ajudou os professores a aprimorar suas habilidades digitais e também melhorou o engajamento dos docentes em suas aulas. Além disso, o artigo discute a importância da colaboração escolas com os docentes e redes de ensino. Isso pode ser alcançado por meio de programas de treinamento, suporte técnico e assistência contínua para garantir o uso efetivo da tecnologia em sala de aula. Por fim, o estudo destaca a necessidade de uma mudança na cultura escolar do ensino fundamental para incentivar o uso da tecnologia e aprimorar as habilidades digitais. Os educadores devem se tornar líderes de inovação em suas escolas, criando um ambiente propício para a transferência de tecnologia e o desenvolvimento de competências digitais.
Molecular Subtypes and Prognostic Models for Predicting Prognosis
of Lung Adenocarcinoma based on MiRNA-related Genes
Authors: Wei Yuxi , Zhong Wei , Bi Yalan , Liu Xiaoyan , Zhou Qing , Liu Jia , Wang Mengzhao , Zhang Hong , Chen Minjiang 
Published: September 2023

Background:
MicroRNAs (miRNAs) are crucial in cancer development and
progression, and therapies targeting miRNAs demonstrate great therapeutic promise.

Aim:
We sought to predict the prognosis and therapeutic response of lung adenocarcinoma
(LUAD) by classifying molecular subtypes and constructing a prognostic model
based on miRNA-related genes.

Methods:
This study was based on miRNA-mRNA action pairs and ceRNA networks in
the Cancer Genome Atlas (TCGA) database. Three molecular subtypes were determined
based on 64 miRNA-associated target genes identified in the ceRNA network. The S3
subtype had the best prognosis, and the S2 subtype had the worst prognosis. The S2 subtype
had a higher tumor mutational load (TMB) and a lower immune score. The S2 subtype
was more suitable for immunotherapy and sensitive to chemotherapy. The least absolute
shrinkage and selection operator (LASSO) algorithm was performed to determine
eight miRNA-associated target genes for the construction of prognostic models.

Result:
High-risk patients had a poorer prognosis, lower immune score, and lower response
to immunotherapy. Robustness was confirmed in the Gene-Expression Omnibus
(GEO) database cohort (GSE31210, GSE50081, and GSE37745 datasets). Overall, our
study deepened the understanding of the mechanism of miRNA-related target genes in
LUAD and provided new ideas for classification.

Conclusion:
Such miRNA-associated target gene characterization could be useful for
prognostic prediction and contribute to therapeutic decision-making in LUAD.
Butadiene Sulfone-catalyzed Monobromination of Arenes with NBS as
the Bromination Source: A Simple, Mild, Efficient, and Chemoselective
Protocol
Authors: Sharma Amit , Rudrawar Santosh , Jadhav Hemant R. 
Published: September 2023

Abstract:
In literature, dimethyl sulfoxide (DMSO) catalyzed bromination of arenes and heteroarenes
is reported. In this study, simple, mild, and chemoselective N-bromosuccinimide (NBS) mediated
monobromination of arenes and heteroarenes using butadiene sulfone as a catalyst is reported.

:
Butadiene sulfone is a good substitute for DMSO as it is volatile, easy to recover and recycle, and environment-
friendly. The method has been demonstrated to give high-yield brominated products for an
extensive range of activated and deactivated arenes.
Omega Invariant of Complement Graphs and Nordhaus-gaddum Type
Results
Authors: Gunes Aysun Yurttas 
Published: September 2023

Aims::
To obtain relations between the omega invariants of a graph and its complement.

Background::
We aim to use some graph parameters including the cyclomatic numbers, number of components, maximum number of components, order and size of both graphs G and G. Also we used triangular numbers to obtain our results related to the cyclomatic numbers and omega invariants of G and G.

Objective::
Several bounds for the above graph parameters will be given by direct application of omega invariant.

Methods:
We use combinatorial and graph theoretical methods to study formulae, relations and bounds on the omega invariant, the number of faces and the number of components of all realizations of a given degree sequence. Especially so-called Nordhaus-Gaddum type results in our calculations. In these calculations, the number of triangular numbers less than a given number plays an important role. Quadratic equations and inequalities are intensively used. Several relations between the size and order of the graph have been utilized.

Result::
In this paper, we obtained relations between the omega invariants of a graph and its complement in terms of several graph parameters such as the cyclomatic numbers, number of components,maximum number of components, order and size of G and G and triangular numbers.

Conclusion::
Some relations between the omega invariants of a graph and its complement are obtained.
Identification of Prognostic Markers and Potential Therapeutic Targets
using Gene Expression Profiling and Simulation Studies in Pancreatic
Cancer
Authors: Singh Samvedna , Kaushik Aman Chandra , Gupta Himanshi , Jhinjharia Divya , Sahi Shakti 
Published: September 2023

Background:
Pancreatic ductal adenocarcinoma (PDAC) has a 5-year relative survival
rate of less than 10% making it one of the most fatal cancers. A lack of early measures of prognosis,
challenges in molecular targeted therapy, ineffective adjuvant chemotherapy, and strong resistance
to chemotherapy cumulatively make pancreatic cancer challenging to manage

Objective:
The present study aims to enhance understanding of the disease mechanism and its
progression by identifying prognostic biomarkers, potential drug targets, and candidate drugs that
can be used for therapy in pancreatic cancer.

Methods:
Gene expression profiles from the GEO database were analyzed to identify reliable
prognostic markers and potential drug targets. The disease's molecular mechanism and biological
pathways were studied by investigating gene ontologies, KEGG pathways, and survival analysis
to understand the strong prognostic power of key DEGs. FDA-approved anti-cancer drugs were
screened through cell line databases, and docking studies were performed to identify drugs with
high affinity for ARNTL2 and PIK3C2A. Molecular dynamic simulations of drug targets
ARNTL2 and PIK3C2A in their native state and complex with nilotinib were carried out for 100
ns to validate their therapeutic potential in PDAC.

Results:
Differentially expressed genes that are crucial regulators, including SUN1, PSMG3,
PIK3C2A, SCRN1, and TRIAP1, were identified. Nilotinib as a candidate drug was screened using
sensitivity analysis on CCLE and GDSC pancreatic cancer cell lines. Molecular dynamics simulations
revealed the underlying mechanism of the binding of nilotinib with ARNTL2 and PIK3C2A
and the dynamic perturbations. It validated nilotinib as a promising drug for pancreatic cancer.

Conclusion:
This study accounts for prognostic markers, drug targets, and repurposed anti-cancer
drugs to highlight their usefulness for translational research on developing novel therapies. Our
results revealed potential and prospective clinical applications in drug targets ARNTL2, EGFR,
and PI3KC2A for pancreatic cancer therapy.