bluuebunny/crossref_metadata_2025_split huggingface dataset:
Circ_0004641 upregulates TRIM25/TRIM41 expression by sponging miR- 1192 to induce cardiac hypertrophy in vitro and in vivo
Authors: Guang-cheng Liu , Zhang Haipeng , Zhang Jingdai , Qian Hao , Wang Liang , Chen Lianfeng , Shen Zhujun 
Published: June 2024

Abstract

Aim To verify the cardiac hypertrophical role of circ_0004641 and its potential mechanism by targeting miR1192-TRIM25/TRIM41 axis.
Methods Mice model was constructed by abdominal aortic coarctation (AAC) surgery and cell model was established from isolated neonatal mouse ventricular cardiomyocytes (NMVCs) by co-cultured with angiotensin II (Ang II). Differential expressed circRNAs were identified by Next-generation sequencing and target miRNAs and downstream mRNAs were predicted by bioinformational analysis. RT-qPCR and Western Blot were applied to validate myocardial-associated molecules on transcriptional and translational levels respectively. By transfecting siRNAs or co-culturing with mimics, expression of regulating-molecules was detected respectively. Dual luciferase reporter assay was performed to identify the interaction between circular RNA and miRNA.
Results A total of 5 up-regulation and 25 down-regulation circRNAs were detected on hypertrophical myocardium by Next-generation sequencing. Among them, circ_0004641 was significantly increased both in in vivo and in vitro as ANP and β-MHC accumulated, while downstream target miRNA-1192 decreased and target mRNA (TRIM25/TRIM41) increased dramatically. Knock-down of circ_0004641 by transfecting siRNA shows a reverse effect on cardiac hypertrophy, along with contrary expressive trend of miR-1192 and TRIM25/TRIM41.Dual luciferase reporter assay identified the sponge-like interaction between circ_0004641 and miR-1192. By co-culturing NMVCs with miR-1192 mimics, its targets TRIM25/TRIM41 showed significant decrease. Moreover, NF-κB signaling pathway were identified to correlated by circ_0004641/miRNA-1192 axis as P65 protein present similar expressive trend with circ_0004641.
Conclusion circ_0004641 may exert a stimulative role in cardiac hypertrophy by regulating miR-1192-TRIM25/TRIM41 axis and NF/κB p65 pathway is the underlying downstream pathway.
Construction and evaluation of nomogram for risk prediction of cognitive impairment in chronic obstructive pulmonary disease comorbidity
Authors: Yang Weng , Luo JiaFeng , Fu AiShuang , Ji HongLian , Li XinRan , Bai Jing , Liu TieJun , Chen WeiBin , Zhang YanShu , Xiao Li , Mo GuoXin , Ge YanLei 
Published: June 2024

Abstract

Objectives Chronic Obstructive Pulmonary Disease (COPD) remains a serious public health problem globally, and the mortality rate for older COPD patients with cognitive impairment is almost three times that of older patients with cognitive impairment or COPD. The aim of this study was to construct a nomogram prediction model for the risk of comorbid cognitive impairment in COPD patients and to evaluate its clinical application. It helps to detect cognitive impairment in COPD patients at an early stage and give them effective interventions in time, so as to delay the progression of COPD patients and improve their prognosis.
Methods In this study, COPD patients hospitalised at the North China University of Science and Technology Affiliated Hospitalwere evaluated by the Montreal cognitive assessment (MoCA) scale for cognitive function, and divided into a case group and a control group on the basis of whether or not they were combined with cognitive impairment. Based on the basic characteristics of the patients and the laboratory indexes in the first 24 hours of hospitalisation, we conducted statistical analyses, screened out the risk factors and established the Nomogram Prediction Model by using the R software, and finally, we evaluated the clinical value of the model through the calculation of ROC curves for sensitivity, specificity and kappa value. Finally, the sensitivity, specificity and Kappa value were calculated by ROC curve to evaluate the clinical value of the model.
Results After statistical analysis, C-reactive protein (CRP) and homocysteine (Hcy) were found to be the risk factors for combined cognitive impairment in COPD patients, and the Nomogram prediction model was constructed by combining CRP and Hcy and plotted the ROC curve, and it was found that its model finally screened the critical value of the total score of 62.55, and the area under the ROC curve of the model was 0.870, and the sensitivity was 84.7%, and the specificity was 80.4%, indicating that it has a high degree of consistency with the actual results. The area under the ROC curve of this model was 0.870, the sensitivity was 84.7%, the specificity was 80.4%, and the calculated Kappa value was 0.575, which indicated that the consistency between the prediction results and the actual results was better, and it had a higher clinical application value.
Conclusions CRP and Hcy are closely associated with comorbid cognitive impairment in COPD patients, and increased levels of CRP and Hcy are associated with an increased risk of comorbid cognitive impairment in COPD patients. Combining both CRP and Hcy to create a nomogram model for predicting comorbid cognitive impairment in patients with COPD has good predictive ability.
BNIP1 inhibits the fusion of autophagosome and lysosome in hippocampal neurons and promotes the development of Alzheimer's disease
Authors: Li Chen , Zhang Miao , Xia Hongyan , Zhi Xiaoyan , Wang Ning , Long Yaolin , Yuan Yuan , Shen YanJun , Wang Li , Wang Xiaohui 
Published: June 2024

Abstract

Background
BNIP1 (BCL2 interacting protein 1) is a soluble N-ethyl maleimide sensitive factor attachment protein receptor, and its decreased expression is potentially associated with the occurrence and development of Alzheimer's disease (AD), and the regulation of BNIP1 has potential significance for the prevention and treatment of AD.
Methods
The expression of BNIP1 protein was detected in APP/PS1 transgenic mice and APP-overexpressed HT22 hippocampal nerve cells. The most relevant protein components of BNIP1 expression were investigated by mass spectrometry. After using small interfering RNA and plasmid to regulate the expression of BNIP1, the detection results were strengthened to ensure the accuracy and reliability of the experiment.
Results
In our study, we detected that the decrease of BNIP1 protein in APP/PS1 double-transgenic mice and APP-overexpressed HT22 hippocampal nerve cells inhibited the fusion of autophagosome and lysosome, and further induced the decrease of Rab7 protein in Rab5b recruitment. Overexpression of BNIP1 can promote the fusion of autophagosome and lysosome. The knockdown of BNIP1 resulted in further dysfunction of autophagosome and lysosome fusion of APP-overexpressed HT22 hippocampal nerve cells.
Conclusions
These results suggest that the decrease of BNIP1 can lead to the dysfusion of AD autophagosome and lysosome, while overexpression of BNIP1 can ultimately promote the fusion of AD autophagosome and lysosome by inducing Rab5b to recruit Rab7, which provides a potential intervention target for the treatment of AD.
Antenna Array Arbitrary Pattern Synthesis Using Conditional Generative Adversarial Network
Authors: Shoaee Mohammad , Nooramin Amir Saman , Oraizi Homayoon 
Published: June 2024

Abstract

A new approach to the real-time synthesis of antenna array factor and weight calculation is introduced, utilizing a conditional Generative Adversarial Network (cGAN). To our knowledge, we are the first to employ a GAN for array antenna pattern synthesis. The neural network takes a predefined simple array pattern as input, which includes only the main lobes and null angles, and certain constraints like SLL control. The output of the network is the actual antenna array factor. We demonstrate that by performing a fast Fourier transform on the network's output, the corresponding weights can be obtained instantly since the patterns on which the network is trained are derived from an iterative FFT algorithm explained extensively in the main body of the text. The proposed method eliminates the need for computationally expensive and time-consuming iterative methods. Furthermore, unlike other AI-based array antenna pattern synthesis methods, our approach requires minimal data, even for large array antennas. It will be demonstrated that for a planar array, with only 1000 array factor featuring a single main lobe and null at random angles, the trained neural network is capable of generating patterns with any desired number of main lobes or nulls, at any arbitrary angle.
Challenges and Expectations on Diabetic Foot Care among Diabetic Patients Attending Diabetic Clinics in Zanzibar: A qualitative Study
Authors: Muhsin Arafa Abdulhakim , Xu Professor Qin , Msesa Daniel Joshua , Kafi Lina , Ngwali Abdulla Khamis , Hamad Hajra Ali 
Published: June 2024

Abstract

Background
Diabetic foot ulcer is one the mutual difficulties of diabetic mellitus indorsed to a number of morbidity and mortality cases in diabetic patients. Nowadays, the occurrence of diabetic foot ulcer is amassed due to the increased prevalence of diabetes. Though, the challenges and expectations of the foot care among diabetic patients ‘are less studied in Zanzibar. Hereafter, this study was conducted to explore Challenges and Expectations of Diabetic Foot Care among Diabetic Patients Attending Diabetic Clinics in Zanzibar
Methods
A qualitative study with focused group discussion of 16 DFU patients, the discussed questions were arranged on views of foot care, current health practice and their expectations on DFU care and its prevention. The conversation was transcribed and thematically analyzed.
Results
Six themes were found after the transcription, which are Living experience with diabetic foot, challenges on foot diabetic care, expectations of support, recommendation for improvement, self-care practice and self-management strategies.
Conclusion
Patients expressed awareness in avoidance the existence of DFU so it is suggested that the effective health education on foot care and other crucial information concerning living with DM must be provided to patients as early as they have been diagnosed with Diabetic Mellitus.
Synthesis of ZnO nanoparticles using Mussaenda frondose and its Applications in Sensor with Antibacterial Studies
Authors: Naik Mamata , Kini Jyothi , Velho-Pereira Sheryanne , Swamy B.E.Kumara 
Published: June 2024

Abstract

This work reports the synthesis of as-prepared nanostructured Zinc oxide (ZnO) using Mussaenda frondose leaf extract. The synthesized ZnO nanoparticles (ZnO NPs) were examined using UV-Visible spectrophotometry (UV-VIS), X-ray diffractometry (XRD), Field emission scanning electron microscopy (SEM), Energy dispersive X-ray spectroscopy (EDX), Fourier-transform infrared spectroscopy (FTIR) and Transmission electron microscopy illustrating its Hexagonal Wurtzite structure. Electrochemical behaviour of the dopamine was studied using modified ZnO NPs/CPE. These studies revealed high sensitivity and selectivity for the dopamine(DA) detection in presence of 0.2M phosphate buffer solution of pH 7.4. Antibacterial studies revealed activity against the test pathogens evaluated namely Klebsiella sp. (Gram negative) and S. aureus (Gram positive) by assessing the zone of inhibition in mms following the agar cup diffusion assay.
Cell Viability or Image-based Analysis: Evaluation of Dose Response of Patient- derived Cancer Organoids to Irradiation Running Title: Dose Response of Cancer Organoids to Irradiation
Authors: Yu Haina , Lin Canfeng , Chen Lifeng , Liu Weizhen , Liu Hualong , Li Jing , Yao Ye 
Published: June 2024

Abstract

Patient-derived cancer organoids emerged as an innovative model in basic and translational medicine research, as well as precision medicine. However, most radiation oncologists are still unaware of the value of organoids in radiation oncology research, especially in precision radiation oncology. The methods for assessment of organoids cell death after irradiation was also undefined. In this study, three organoid lines were successfully established from the surgical specimens of rectal cancer patients. These organoid lines displayed diverse architecture and captured heterogeneity of the tumors. Genetic characterization of rectal cancer organoids showed that the most frequently mutated genes and pathways among rectal cancer tumors also presented in rectal cancer organoids. Our results also revealed that cancer organoids were easy to use for the research of radiobiology of cancer. The survival of rectal cancer organoids after X rays irradiation could be validated by image-based analysis, while the cell viability tested by cell counting kit-8 failed. The survival curves generated from imaging analysis were more representative, which had an initial linear slope, followed by a shoulder, and tended to become straight again. As far as we know, this was the first study to investigate the appropriate testing method of using organoids to study cancer radiosensitivity, suggesting that image-based analysis is more accurate than cell viability.
Research on site selection of emergency material reserve based on set pair analysis and TOPSIS integration method: A case study of Hebei Province, China
Authors: Kong Dekun , Yang Wenguang 
Published: June 2024

Abstract

The site selection of emergency material reserve is very important for emergency management, which is related to disaster rescue efficiency and social stability. To solve this site selection problem, an evaluation system for the site selection of emergency materials reserve was established. 11 prefecture-level cities in Hebei Province were selected as research objects, and an index system including 3 pri-mary criteria and 8 secondary criteria was constructed. The aim is to find ascientific and reasonable storage location to reduce costs and ensure the time-liness of materials. And on the basis of combination of set pair analysis (SPA) and technique for order preference by similarity to ideal solution (TOPSIS),an evaluation method named MGSPA-TOPSIS is proposed in this paper. This method fully considers the weight determination, positive ideal solution (PIS) and negative ideal solution (NIS) problems. When determining the weights, the maximizing deviation method is used to obtain the objective weights, which can objectively and comprehensively consider the importance of each index in site selection evaluation. At the same time, in order to fully consider subjective needs, we also used order relation analysis (G1 method) to obtain subjective weights, and synthesized objective weights and subjective weights through the principle of game theory to obtain the final weight allocation scheme and ensure the object-tivity and fairness of the evaluation results. In the calculation of PIS and NIS,MAX-MIN standardization method is adopted to ensure the scale consistency of each index. In terms of the incidence of the final verification rank reversal, the criteria extended maximum and criteria extended minimum values are obtained by using the central limit theorem, and the value range of the verification data is delimited, so as to reduce the deviation of the evaluation results as much as possible, and thus improve the effectiveness and reliability of the method.
An Efficient Energy Makespan Optimization Based Task Mapping In Fog Enabled IoT Application
Authors: Tripathy Niva , Sahoo Sampa , Tripathy Subhranshu Sekhar , Shah Mohd Asif , Mallik Saurav 
Published: June 2024

Abstract

The Internet of Things (IoT) points to billions of connected devices that share data through the Internet. However, the increasing amount of data generated by IoT devices makes remotely placed cloud data centers inefficient for delay-sensitive applications. In this regard, fog computing, which brings computation near the data source, plays a significant role in overcoming the above issue. However, resource constraints in fog demand an effective task-scheduling technique for the enormous amount of data. Many researchers have proposed a variety of heuristic and meta-heuristic approaches for effective scheduling; however, there is still scope for improvement. In this paper, we propose EMAPSO (energy makespan-aware PSO). The makespan and energy minimization simultaneously are presented as a bi-objective optimization problem. The approach also considered the load balancing factor while assigning a task to a VM in a fog/cloud environment. The proposed algorithm EMAPSO is compared to standard PSO, Modified PSO (MPSO), Bird swam optimization (BSO), and the Bee Life Algorithm (BLA). The experimental results show the proposed method outperforms the compared algorithms in terms of resource utilization, makespan, and energy consumption.
Feasibility of Community-based Hypertension Screening and Referral by Village Health Teams in Eastern Uganda: a Quasi-experimental Study
Authors: Kanyike Andrew Marvin , Kihumuro Raymond Bernard , Kintu Timothy Mwanje , Seungwon Lee , Nakawuki Ashley Winfred , Apio Kevin , Katuramu Richard 
Published: June 2024

Abstract

Background
Hypertension (HTN) is a significant public health challenge in Uganda, with a high prevalence and low diagnosis rate due to healthcare system deficiencies, like scarce diagnostic resources and a shortage of medical professionals. Task-shifting roles for community health workers (CHWs) could potentially fill gaps in the control of HTN, but this is still underexplored. This study determined the feasibility of leveraging CHWs, called Village Health Teams (VHTs), for HTN screening and referral in Eastern Uganda.
Methods
We conducted a quasi-experimental study from June to November 2023 in Jinja City and Bugembe town council, Eastern Uganda. Twelve VHTs were trained and deployed to screen and refer hypertensive patients in their communities. The training covered hypertension basics, blood pressure measurement, and referral protocols. Over four months, VHTs screened adults aged 18 and above using automatic blood pressure machines. Participants with elevated blood pressure (≥ 140/90 mmHg) on two different occasions at least 15 minutes apart were referred to a local health center for diagnosis and management. Data were collected on participant demographics, blood pressure readings, and referral outcomes and analyzed using descriptive statistics, paired t-tests, and reliability assessments in STATA version 15. A p-value < 0.05 was considered statistically significant.
Results
The VHTs screened 5,215 individuals, surpassing the target by 48%. The prevalence of HTN was 22.4% (n = 1167). Factors associated with HTN were older age, being male, having had previous blood pressure measurements, and alcohol use. The blood pressure measurements taken by VHTs compared to health professionals showed a high agreement (95.65%; 95% CI: 90.72% − 100%). However, of the hypertensive individuals identified, only 278 (23.8%) accepted referral to the health center. The monthly average number of new patients at the health center significantly increased from 4.6 ± 0.9 to 12.7 ± 1.4 four months before and after the intervention (t = 4.37, p = 0.0014).
Conclusion
VHTs can reliably screen for HTN, comparable to qualified health professionals. However, to improve the VHT-led screening and referral intervention, community trust in blood pressure measurements taken by VHTs must be enhanced to address the low referral rates.
Investigation of cholera outbreak and its determinants in Shaggar city, Oromia, Ethiopia, 2024: a case-control study
Authors: Mideksa Girma , Botore Abera , Abdo Bekele 
Published: June 2024

Abstract

Introduction:
Cholera, a severe acute diarrheal disease, with an epidemic-prone transmission patterns and serious public health emergencies that have a major impact on health and the economic in Ethiopia. A cholera outbreak was reported on 30 May 2023 in Shaggar City and declared the cholera outbreak after confirmed cases. In the city, the source and risk factors were unknown. The aim of this study was to verify and identify the determinants of the cholera outbreak and guide intervention measures in the sub-city of Shaggar City, Oromia, Ethiopia.
Method
An unmatched case-control study was carried out to assess the determinants of cholera outbreaks in the sub-city of the shaggar, Oromia with 1:1 case to control ratio. A total of 180 (60 cases and 120 controls) participants were included in the study. We interviewed study participants and collected data on demographic and cholera risk factors using a structured questionnaire. Data were entered into Epi-info 7.2.1.0 and analyzed with SPSS version 26. We used COR with p.value < 0.25 in bivariable analysis to identify candidate variables for multivariable regression analysis. In multivariable logistic regression, 95% CI with AOR were used to measure strength of association between outcome and independent variables and p.value < 0.05 was used to declare statistical significance.
Results
The median age of the cases and controls was 31 and 32 years respectively. 36 (60%) of the cases and 59 (49%) of the controls were men. The overall attack rate was 0.12 per 1000 population. According to multivariate analysis, people live in a household with overcrowding and poor sanitation(AOR: 0.03, 95% CI: (0.001–0.86), Eating outside of the home from different food and drink establishments AOR: 0.29, 95% CI: (0.08–1.02), Poor status of the latrine in the home [AOR: 6.76, 95% CI: (1.50-30.44)], Drinking water from a borehole [A OR:20.7,95%CI:(1.97-218.05] and deep well watercourse was a more likely risk in cases compared to controls, drinking water treatment and boiling (AOR:0.02, 95% CI:(0.003–0.210) were protective factors for the diseases.
Conclusion
Drinking unsafe water and household sanitation problem appears to be the major risk factors in the recent cholera outbreak in the sub-city. Health education, chlorination of drinking water, and strengthening surveillance were implemented. To reduce the risk of future outbreaks of cholera; environmental hygiene practices and the use and accessibility of safe drinking water should be promoted at the community level.
Enhancing English Translation Quality Assessment through Knowledge Transfer in Artificial Intelligence Context
Authors: Zhao Xiuhua 
Published: June 2024

Abstract

Machine translation technology, which employs computers to autonomously convert text between source and target languages, represents a pivotal realm within artificial intelligence and natural language processing research. This paper introduces a novel algorithm grounded in multi-task learning, which is aimed at enhancing the efficacy of Chinese-English neural machine translation systems. This proposition addresses three key challenges: the scarcity of parallel Chinese-English corpora, substantial disparities in sentence structure between the two languages, and the intricate, mutable nature of word formations in Mongolian, a factor influencing Chinese due to historical linguistic interactions. To counter these issues, we devise a parameter transfer strategy. Our methodology commences with the training of a high-resource neural machine translation model leveraging the encoder-decoder architecture prevalent in neural machine translation systems. Subsequently, the learned parameters are utilised to initialise a low-resource model, thereby kickstarting its training with a more informed starting point. It should be noted that the word embeddings and fully-connected layers of the low-resource model are randomly initialised and undergo continuous updating throughout the iterative training process. The experimental outcomes affirm the superiority of our proposed Dual-Task Multi-Task Learning (DFMTL) method, which achieves a BLEU score of 10.1. This not only outperforms the performance of three established baseline models but also demonstrates a notable 0.7 BLEU score increase over models trained exclusively on a mixed-corpus dataset. These findings highlight the potential of our parameter migration strategy in enhancing the precision and fluency of Chinese-English machine translations under resource-constrained scenarios.