bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nanoplastics induces Arrhythmia in Human Stem-cells derived Cardiomyocytes
Authors: Chia Shirley Pei Shan , Pang Jeremy Kah Sheng , Soh Boon-Seng 
Published: October 2023

Abstract
Plastic has become an ubiquitous environmental pollutant and nanoplastics (NPs) that are within the size range of 1nm to 1000nm could form upon weathering. Considering its sheer size, NPs are speculated to be more hazardous than their larger counterparts. Despite the growing concern, there is still limited understanding on the effects of NPs on human heart. Therefore, we aim to utilise human embryonic stem cells-derived-cardiomyocytes (hESC-CMs) to investigate the effects related to the uptake and accumulation of NPs in human heart. Firstly, more mature CMs were generated to better recapitulate the effects of NPs in adulthood. NPs effects were then elucidated over 3, 5 and 7 days of NPs treatment. The size-dependent uptake and accumulation of NPs was then established in CMs. Generally, oxidative stress and endoplasmic reticulum stress was upregulated in CMs in a dose-dependent manner. On the other hand, a rise in apoptosis was noted on all timepoints and was significant on day 7. Correspondingly, arrhythmia was also induced by day 7 of NPs treatment. Overall, our findings suggested that an exposure and accumulation of nanoplastics within hESC-CMs leads to oxidative stress, endoplasmic reticulum stress and decreased cell viability, resulting in an arrhythmic phenotype.
Resveratrol Safeguards Pre-osteoblast MC3T3-E1 Cells by Fostering Cell Growth and Specialization while Restraining Apoptosis
Authors: He Yu , Liu Fei , He Mingjuan , Long Fayu , Hu Ding , Chen Jingwen , Fang Miao , Wang Zhenlong 
Published: October 2023

Abstract
The purpose of this study was to investigate the mechanism by which resveratrol (Res) inhibits apoptosis and promotes proliferation and differentiation of pre-osteoblastic MC3T3-E1 cells, laying the groundwork for the treatment of osteoporosis (OP). The TCMSP database was used to find the gene targets for Res. The GeneCards database acquire the gene targets for OP. After discovering the potential target genes, GO, KEGG, and Reactome enrichment analysis were conducted. Verifying the major proteins involved in apoptosis can bind to Res using molecular docking. CCK8 measured the proliferative activity of mouse pre-osteoblasts in every group following Res intervention. Alkaline phosphatase staining (ALP) and alizarin red staining to measure the ability of osteogenic differentiation. RT-qPCR to determine the expression levels of Runx2 and OPG genes for osteogenic differentiation ability of cells. Western blot to measure the degree of apoptosis-related protein activity in each group following Res intervention. The biological processes investigated for GO of Res therapeutic OP involved in cytokine-mediated signaling pathway, negative regulation of apoptotic process, Aging, extrinsic apoptotic signaling pathway in absence of ligand, according to potential therapeutic target enrichment study. Apoptosis, FoxO signaling pathway, and TNF signaling pathway are the primary KEGG signaling pathways. Recactome pathways are primarily engaged in Programmed Cell Death, Apoptosis, Intrinsic Apoptotic Pathway, and Caspase activation via extrinsic apoptotic signaling pathways. This research established a new approach for Res treatment of OP by demonstrating how Res controls the apoptosis-related proteins TNF, IL6, and CASP3 to suppress osteoblast death and increase osteoclastogenesis.
Personalized Medicine for Cardiovascular Disease Risk in Artificial Intelligence Framework
Authors: Singh Manasvi , Kumar Ashish , Khanna Narendra N. , Laird John R. , Nicolaides Andrew , Faa Gavino , Johri Amer M. , Mantella Laura E. , Fernandes Jose , Teji Jagjit S. , Singh Narpinder , Fouda Mostafa M. , Sharma Aditya , Kitas George , Rathore Vijay , Singh Inder M. , Tadepalli Kalyan , Al-Maini Mustafa , Isenovic Esma R. , Chaturvedi Seemant , Paraskevas Kosmas I. , Mikhailidis Dimitri P. , Viswanathan Vijay , Kalra Manudeep K , Ruzsa Zoltan , Saba Luca , Laine Andrew F. , Bhatt Deepak L. , Suri Jasjit S. 
Published: October 2023

AbstractBackground & Motivation:The field of personalized medicine endeavors to transform the healthcare industry by advancing individualized strategies for diagnosis, treatment modalities, and prognostic assessments. This is achieved by utilizing extensive multidimensional biological datasets encompassing diverse components, such as an individual's genetic makeup, functional attributes, and environmental influences. Medical practitioners can use this strategy to tailor early interventions for each patient's explicit treatment or preventative requirements. Artificial intelligence (AI) systems, namely machine learning (ML) and deep learning (DL), have exhibited remarkable efficacy in predicting the potential occurrence of specific cancers and cardiovascular diseases (CVD).Methods:In this comprehensive analysis, we conducted a detailed examination of the term "personalized medicine," delving into its fundamental principles, the obstacles it encounters as an emerging subject, and its potentially revolutionary implications in the domain of CVD. A total of 228 studies were selected using the PRISMA methodology.Findings and Conclusions: Herein, we provide a scoping review highlighting the role of AI, particularly DL, in personalized risk assessment for CVDs. It underscores the prospect for AI-driven personalized medicine to significantly improve the accuracy and efficiency of controlling CVD, revolutionizing patient outcomes. The article also presents examples from real-world case studies and outlines potential areas for future research.
Influence of Larval Growth and Habitat Shading on Retreatment Frequencies of Biolarvicides against Dominant Malaria Vectors in Tanzania
Authors: Msugupakulya Betwel J. , Ngajuma Swedi K. , Ngayambwa Athuman N. , Kidwanga Baraka E. , Mpasuka Ibrahim R. , Selvaraj Prashanth , Wilson Anne L. , Okumu Fredros O. 
Published: October 2023

Abstract
We investigated the efficacy of two biolarvicides, VectoBac® and VectoMax®, against Anopheles funestus and Anopheles arabiensis, in shaded and unshaded semi-natural habitats; and explored how their varied larval development durations might influence retreatment intervals. Semi-natural aquatic habitats were created for field-collected An. funestus and An. arabiensis larvae in sun-exposed and shaded locations and treated with VectoBac® or VectoMax® or left untreated as controls. The larval development was assessed in semi-natural and natural habitats by recording daily densities of larval and pupal stages. Both biolarvicides reduced densities of early and late instar larvae of both mosquito species by over 98% within 72 hours. Efficacy lasted one week in sun-exposed environments regardless of dose but remained above 50% for two weeks in shaded habitats. On average, An. funestus larvae spent up to two weeks before pupating (13.2[10.4–16.0] days in semi-natural and 10.0[6.6–13.5] days in natural habitats), while An. arabiensis pupated after slightly over one week (8.2 [5.8–10.6] days in semi-natural and 8.32 [5.0-11.6] days in natural habitats). This data suggests that An. funestus might need a minimum of biweekly retreatments, while An. arabiensis requires a minimum of weekly treatments. Moreover, sun-exposed habitats may need more frequent applications than shaded habitats.
Systematic Evaluation of Merkel Cell Carcinoma Clinical Practice Guidelines Using the AGREE II Instrument
Authors: Lakshmipathy Deepak , Fritz Christian , Harris Jacob , Athni Tejas , Go Beatrice , Moreira Alvaro , Giordano Cerrene , Rajasekaran Karthik 
Published: October 2023

Abstract

Merkel cell carcinoma (MCC) is a rare type of skin cancer that requires a multidisciplinary approach with a variety of specialists for management and treatment. Clinical practice guidelines (CPGs) have recently been established to standardize management algorithms. The objective of this study was to appraise such CPGs via the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument. Eight CPGs were identified via systematic literature search following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. Four appraisers trained in AGREE II protocols evaluated each CPG and deemed two CPGs as high quality, five as moderate quality, and one as low quality. Intraclass correlation coefficients (ICCs) were calculated to verify reviewer consistency as excellent, good, and moderate across four, one, and one domain, respectively. The majority of MCC CPGs are lacking in specifying stakeholder involvement, applicability, and rigor of development. The two high quality CPGs are from the Alberta Health Services (AHS) and the collaboration between the European Dermatology Forum, the European Association of Dermato-Oncology, and the European Organization of Research and Treatment of Cancer (EDF/EADO/EORTC). The EDF/EADO/EORTC CPG had the highest overall score with no significant deficiencies across any domain. An important limitation is that the AGREE II instrument is not designed to evaluate the validity of each CPG’s recommendations; conclusions therefore can only be drawn about each CPG’s developmental quality. Future MCC CPGs may benefit from garnering public perspectives, inviting external expert review, and considering available resources and implementation barriers during their developmental stages.
Intrusion Of Technology Ushering a New Concept from the Perspective of Promoting Patient- Centered-Care.
Authors: Dasgupta Atantra 
Published: October 2023

Abstract
The intrusion of technology in healthcare has ushered in a transformative era in the delivery of patient-centered care. This paper explores the multifaceted impact of technology from the perspective of promoting patient-centered care. As digital health tools, telehealth platforms, and innovative solutions continue to evolve, they present both opportunities and challenges for healthcare providers and patients alike. The adoption of technology has the potential to empower patients, enhance their engagement in healthcare decision-making, and improve access to medical information. However, it also raises concerns about privacy, data security, and the digital divide. This paper delves into the various dimensions of technology's influence on patient-centered care, including patient empowerment, shared decision-making, and the role of healthcare practitioners in this digital landscape. It also discusses the intersection of technology and patient advocacy, highlighting the potential for technology-enabled patient as an organization concept to advocate for patients' rights and needs. The paper emphasizes the importance of addressing these technological changes in healthcare policy and regulation to ensure that they align with the principles of patient-centered care. In conclusion, the intrusion of technology in healthcare is reshaping the patient-provider relationship and the delivery of care, offering immense promise for patient-centered care while necessitating thoughtful consideration of ethical, privacy, and accessibility concerns in this evolving landscape.
Implementation and Evaluation of a Hybrid Network Topology in an Infiniband-based HPC cluster
Authors: Gomez-Lopez Gabriel , Escudero-Sahuquillo Jesus , Garcia Pedro Javier , Quiles Francisco J. 
Published: October 2023

Abstract
InfiniBand networking technology widely utilized in modern high-performance systems. This work describes the implementation of the hybrid network topology known as KNS in a real HPC cluster using an InfiniBand interconnection network. He have used cluster CELLIA (Cluster for the Evaluation of Low-Latency Architectures), consists of 50 compute and storage nodes equipped with InfiniBand network cards, and up to 50 8-port InfiniBand switches, which allow us to build several topologies. We have implemented the KNS routing algorithm in OpenSM, the subnet manager provided by the OpenFabrics Software (OFS). We also evaluate the performance of the KNS topology using well-known benchmarks, such as HPCC, HPCG, Graph500, and Netgauge. The obtained results show that the low-diameter KNS topology is an efficient and cost-effective alternative to interconnect the computing and storage nodes in HPC clusters. As far as we know, no known InfiniBand system has implemented this topology before.
DRL-G: SFC Deployment Algorithm Based on Deep Reinforcement Learning in Space–Air–Ground Integrated Network
Authors: Feng Xu , He Mengyang , Zhuang Lei , Song Yanrui , Peng Rumeng 
Published: October 2023

Abstract
The space-air-ground integrated network (SAGIN) is formed by the fusion of ground and aircraft networks. It overcomes the limitations in communications that cannot cover the whole world, bringing new opportunities for network communication in remote areas. However, the existence of many heterogeneous devices in SAGIN poses significant challenges in terms of end-to-end resource management, and the limited regional heterogeneous resources also affect the quality of service (QoS) for users. In this context, this study proposes a hierarchical resource management structure for SAGIN, named SAGIN-MEC, based on a software-defined network (SDN), network function virtualization (NFV), and mobile edge computing (MEC), aiming to facilitate the systematic management of heterogeneous network resources. Furthermore, to minimize operator deployment costs while ensuring QoS, this study formulates a resource scheduling optimization model tailored for SAGIN scenarios to minimize energy consumption. Additionally, we propose a deployment algorithm named DRL-G, which is based on heuristics and deep reinforcement learning (DRL), aiming to allocate heterogeneous network resources within SAGIN effectively. Experimental results show that SAGIN-MEC can reduce the end-to-end delay by 6-15 ms compared to the terrestrial edge network. In addition, compared to other algorithms, DRL-G can improve the service request reception rate by up to 28%.
Multiparametric MR characterization for human epithelial growth factor receptor 2 expression in bladder cancer: an exploratory study
Authors: Kong Lingmin , Ling Jian , Cao Wenxin , Wen Zhihua , Lin Yingyu , Cai Qian , Chen Yanling , Guo Yan , Chen Junxing , Wang Huanjun 
Published: October 2023

Abstract

Purpose
To investigate the application value of multiparametric MRI in evaluating the expression status of human epithelial growth factor receptor 2 (HER2) in bladder cancer (BCa).
Methods
From April 2021 and July 2023, preoperative imaging manifestations of 90 patients with pathologically confirmed BCa were retrospectively collected and analyzed. All patients underwent multiparametric MRI including SyMRI, DWI, from which the T1, T2, proton density (PD) and apparent diffusion coefficient (ADC) values were obtained. The clinical and imaging characteristics as well as quantitative parameters (T1, T2, PD and ADC values) between HER2-positive and -negative BCa were compared using student t test and chi-square test. The diagnostic efficacy of parameters in predicting HER2 expression state was evaluated by calculating the area under ROC curve(AUC).
Results
In total, 76 patients(mean age, 63.59 years ± 12.84 [SD]; 55 men) were included: 51 with HER2-negative and 25 with HER2-positive. HER2 -positive group demonstrated significantly higher ADC, T1, and T2 values than HER2-negative group (all P < 0.05). The combination of ADC values and tumor grade yielded the best diagnostic performance in evaluating HER2 expression level with an AUC area of 0.864.
Conclusion
The multiparametric MR characterization can accurately evaluate the HER2 expression status in BCa, which may further guide the determination of individualized anti-HER2 targeted therapy strategies.
Survival Analysis of Recovery of Weight Among Low Birth Weight Infants in Jimma University Medical Center, Jimma, Ethiopia
Authors: Lelisa Firafnah , Sisay Kibralem , Tesfaye Fedasa , Banbeta Akalu 
Published: October 2023

Abstract
Background: . Globally, it has been known that around 15.5% of infants were below the normal level of weight at their birth and 95% of these infants lived in developing countries.
Objectives: The study aimed to model time to normal weight from low weight among low weight infants delivered at Jimma University Medical Center
Methods: : The retrospective data from all the admitted follow up of low birth weight(LBW) infants, from September 1,2020 to March 30,2022 in JUMC is used in this study. By assessing the overall goodness of fitted models, log-logistic accelerated failure time model which can fit the data well and had smallest akaike information criterion value were selected as the appropriate fit model.
Results: Out of 325 LBW infants 286 (88%) were recovered from LBW and 39 (12%) censored. The most important predictors of time to normal weight at 0.05 level of significance were place of residence [φ =0.877 (95% CI: 0.808-0.952)], multiple birth [φ =1.459 (95% CI: 1.316-1.617)],gender [φ =0.870 (95% CI: 0.809-0.936)], history of abortion [φ =1.296 (95% CI: 1.165-1.441)],preterm birth [φ =1.172 (95% CI: 1.070-1.285)], maternal age 20-34 [φ =0.813 (95% CI: 0.727-0.909)] and maternal age >34 [φ =0.798 (95% CI: 0.694-0.917)], ANC follow up [φ =0.816 (95%CI: 0.755-0.883)] and weight at birth 1000-1500 gm [φ =0.773 (95% CI: 0.658-0.910)] and weight at birth 1500-2500 gm [φ =0.700 (95% CI: 0.602-0.815)].
Conclusion: Log-logistic AFT model fits the data well in analyzing time to normal weight among LBW infants data. The duration of time to normal weight of LBW infants significantly affected by the infants’ place of residence, birth status, history of abortion of mothers, gender, preterm, maternal age, number of ANC visits and weight at birth. Therefore, special emphasis should be given for infants who are female, rural place of residence, multiple birth, prematurely birth, infants born from teenage mothers, mother have an abortion, mother have not regular ANC follow up and infants who had <1000 gm birth weight to improve the duration of LBW. The estimated median duration of LBW was 10 days.
Association between Dietary Selenium and Zinc Intake and Risk of Dilated Cardiomyopathy in Children: A Case-Control Study
Authors: Aryafar Maryam , Mahdavi Mohammad , Shahzadi Hossein , Ranjbar Yeganeh Rajabpour , Sohouli Mohammad Hassan , Afzal Sina , Tehrani Asal Neshatbini , Fatros Danial , Daftari Ghazal 
Published: October 2023

Abstract
Background: Dilated cardiomyopathy (DCMP) is characterized by the enlargement and weakening of the heart and is a major cause of heart failure in children. Infection and nutritional deficiencies are culprits for DCMP. This case-control study aimed to investigate the relationship between dietary intake of zinc and selenium and the risk of DCMP in pediatric patients.
Methods: A total of 36 DCMP patients and 72 matched controls were recruited, and their dietary intakes were assessed via a validated food frequency questionnaire. We used chi-square and sample T-test for qualitative and quantitative variables, respectively. Logistic regression analysis was applied to assess the relationship between selenium and zinc intake with the risk of DCMP.
Results: After fully adjusting for confounding factors, analyses showed that selenium (OR=0.19, CI= 0.057-0.069, P trend <0.011) and zinc (OR=0.12, CI= 0.035-0.046, P trend <0.002) intake were strongly associated with 81% and 88% lower risk of pediatric DCMP, respectively.
Conclusions: This study highlights the protective role of adequate dietary intake of selenium and zinc in decreasing the risk of DCMP in children. Malnutrition may exacerbate the condition and addressing these micronutrient deficiencies may improve the cardiac function. Further studies are recommended to detect the underlying mechanisms and dietary recommendations for DCMP prevention.
Exploring Chromatin Regulatory Factor Genes as Novel Biomarkers and Immunotherapy Targets through Multi-Omics Analysis in Kidney Renal Clear Cell Carcinoma to Uncover Tumor Heterogeneity
Authors: Wang Guobing , Huang Jinbang , Chen Haiqing , Jiang Chenglu , Jiang Lai , Zhang Shengke , Li Yi , Pei Jingwen , Li Lan , Li Chang , Chu Yanpeng , Tian Gang 
Published: October 2023

Abstract
Background: Kidney Renal Clear Cell Carcinoma (KIRC) is the primary subtype of renal cell carcinoma, accounting for a significant proportion of cases, ranging from 75% to 80%, with a cancer-specific mortality rate as high as 24%. Despite significant advancements in treatment modalities, KIRC exhibits notable resistance to conventional therapeutic approaches, underscoring the imperative need for pioneering targeted immunotherapeutic strategies. Within this framework, Chromatin Regulators (CRs) - pivotal proteins governing gene expression and orchestrating critical biological processes - have been recognized as key players in the initiation and progression of KIRC. In this study, we employed multi-omics approach to unveil the impact of genes closely associated with CRs on the prognosis of KIRC.
Methods: Utilizing the TCGA-KIRC dataset, we constructed and validated a prognostic model using LASSO Cox regression, emphasizing genes that significantly influence KIRC prognosis. Furthermore, our study investigated interactions among gene characteristics, clinical parameters, tumor microenvironment, targeted immunotherapy, and drug responsiveness. Experimental validation, encompassing cell culture, transient transfection, qPCR, Transwell assays, and more, substantiated the outstanding predictive capability of the BRD9 gene.
Results: Through an analysis of relevant studies, we have identified the risk score of Chromatin Regulators (CRs) as an independent determinant of KIRC prognosis. Subsequently, we developed a predictive Nomogram model that combines clinical attributes and corresponding risk assessment. Finally, we compared and analyzed the expression levels of BRD9 in normal and tumor tissues using techniques such as polymerase chain reaction (PCR). It is noteworthy that BRD9 exhibits a significant increase in expression within renal clear cell carcinoma cells. In summary, these findings reveal the oncogenic role of BRD9, with its upregulated expression playing a pivotal role in promoting the proliferation, invasion, and migration of renal clear cell carcinoma cells. Consequently, targeted immunotherapy for renal clear cell carcinoma can be tailored based on this gene.
Conclusion: Within the scope of this study, we have introduced a novel KIRC prognostic framework based on multi-omics approaches, seamlessly integrating Chromatin Regulators. This innovative model holds the potential to enhance the accuracy of prognosis prediction for KIRC patients, laying a solid foundation for the development of targeted immunotherapeutic approaches for KIRC patients.
Feedback Linearization and SelfTuning PD Fuzzy Controller for wheeled mobile robot
Authors: Sharma Kanta Prasad , Carbajal Nestor Cuba , Singh Rajesh , Huamán-Romaní Yersi-Luis , Ccanto Florencio Flores , Askar Shavan , Alawadi Ahmed , Alsaalamy Ali , Abdulameer Sajjad Firas , jalalnezhad mostafa 
Published: October 2023

Abstract
In this paper, we will present a combined feedback linearization and self-tuning fuzzy PD virtual structure based formation control. This control strategy guarantees that each individual of the robot team successfully tracks its own trajectory while maintaining its position in the formation. To this end, we will use the dynamic model of the nonholonomic wheeled mobile robot to design a feedback linearization control for trajectory tracking aim, and a self-tuning fuzzy PD controller based of the relative distant error between each pair of robots for formation maintaining. At the end of the chapter, we will study the stability analysis of the proposed approach and the results of the simulation. As mentioned before, the control objectives are distributed into two separate parts, the first is to track a pre-defined trajectory and the other is to maintain a desired formation shape. The first part of the controller is achieved using feedback linearization and the second is PD controller.