bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and validation of Machine Learning Predictive Model for Contrast-associated Acute Kidney Injury in Patients with Acute Coronary Syndrom
Authors: Ma Mengqing , Chen Yuyang , Guo Danning , Du Xia , Chen Dawei , Wan Xin , Kong Huiping , Xu Dongxu , Cao Changchun 
Published: October 2023

Abstract

Background Patients with acute coronary syndrome (ACS) often need coronary angiography (CAG). After CAG, patients with ACS may develop contrast-associated acute kidney injury (CA-AKI). However, effective preventive measures are lacking in treatment for CA-AKI. Therefore, an efficient interpretable predictive model of CA-AKI is crucial. Methods We enrolled 1013 ACS patients who received percutaneous coronary intervention or coronary angiography in Sir Run Run Hospital, Nanjing Medical University, and Nanjing First Hospital from September 2020 to December 2021. To screen features, the sliding windows sequential forward feature selection technique (SWSFS) was used. The model was built using five machine learning (ML) algorithms: logical regression (LR), random forest (RF), support vector machines (SVM), extreme gradient boosting (XGBT), and ensemble model (ENS). We evaluated predictive performance by comparing the model with Mehran score. The model features were explained through shapley additive explanations (SHAP) and a web-based calculator was built. Results CA-AKI occurred in 215 patients (21.27%). In the training set, SWSFS identified 15 variables. The top 5 variables included diuretics, creatine phosphokinase MB isoenzyme, unstable angina, lactate dehydrogenase, and Triglycerides × Total Cholesterol × Body Weight Index (TCBI). Overall, ML models outperformed Mehran score. In the internal and external validation sets, the ENS model obtained the highest AUC of 0.828 (95%CI: 0.779 ~ 0.876) and 0.811 (95%CI: 0.750 ~ 0.867). SHAP explained the 15 selected features' importance and contribution. We also built a web-based calculator for clinical use. Conclusions Based on machine learning, 15 clinically accessible features were screened. The established model and the web-based calculator had the potential for real-time risk assessment of CA-AKI in clinical practice.
Modeling AL-QARAQOUL Canal Before and After Rehabilitation Using HEC-RAS
Authors: Zahran Sara , Gooda Essam A. , maged Nesma Abdel 
Published: October 2023

Abstract
The Egyptian Ministry of Water Resources and Irrigation launched in 2020 the national project to rehabilitate the canals network to rationalize the use of water resources to face the scarcity problems. The aim of study is to evaluate the impact of canal rehabilitation on the performance of irrigation water delivered laterally to Mesqas and longitudinally to the end of canal. Qaraqoul Canal at Al-Mallah Area, Alexandria, Egypt, was modelled using HEC-RAS to simulate water levels in the canal before and after rehabilitation using four discharge scenarios: 1.82, 3.7, 2.2, 7.87 m3/sec. The calibration before rehabilitation shows that HEC-RAS simulated water levels corresponding to a discharge of 2.2 m3/sec, were in a good agreement with the actual field measured water levels. HECRAS results demonstrated that rehabilitation hydraulically improved the efficiency and performance of water conveyed by the canal. On the other hand, second scenario can be considered as suitable to keep water to reach the canal downstream with minimum suitable discharge, providing the need of two emergency pumps at last two Mesqas. An ideal cross-section is also simulated using HEC-RAS which produced an efficient alternative with 40% less cost than the constructed alternative.
Cobalt oxide spinel electrodes for oxygen reduction reaction in alkaline medium
Authors: Uskaikar Harsha 
Published: October 2023

Abstract
The kinetics of the oxygen reduction reaction (ORR) was studied on Co3O4/C electrodes in KOH electrolyte by using cyclic voltammetry and steady state polarization measurements using the Hg/HgO as the reference electrode. The morphological features of the materials were studied by scanning electron microscopy (SEM), X-ray diffraction (XRD) & BET surface area. The electrodes were prepared by dispersing Co3O4 on vulcan carbon in situ and manually grinding the same. Co3O4 showed nanocrystalline nature and surface area was found to increase on dispersing with vulcan carbon by manually grinding in pestle and mortar. The polarization results showed higher electrocatlytic activity for the ORR on Co3O4/C (G) materials in comparison to Co3O4/C (P) prepared by dispering Co3O4 on a vulcan carbon. Electrocatalytic activity of N(G) & N(P) were compared with Pt/C electrodes.
Causal relationship between Women's reproductive traits and postpartum depression: a multivariate Mendelian randomization analysis
Authors: Kang Zhen , Wu Qingming , Cao Jianan , Zhu Mohao , You Zhaoling , Li Dandan , Liu Weiai 
Published: October 2023

Abstract
Background: The relationship between women's reproductive traits and postpartum depression (PPD) has not been clarified. We reveal the association between genetically predicted modifiable women’s reproductive traits and PPD using two-sample Mendelian randomization (MR).
Methods: We used genome-wide association studies (GWASs) to obtain instrumental variables (IVs) of 10 women's reproductive traits. Univariate and multivariate MR analyses were used to examine the association between traits and the risk of PPD (13,657 cases and 236,178 controls). The primary causal effect assessment employed IVW method.
Results: In the UVMR result, genetic prediction showed that age at first sexual intercourse (AFS) (OR = 0.474, 95% CI 0.396-0.567; P = 4.6×10-16), age at first birth (AFB) (OR = 0.865, 95% CI 0.805-0.930; P = 8.02×10-5), and age at last live birth (ALLB) (OR = 0.296, 95% CI 0.138-0.636; P = 0.002) were significantly inversely associated with PPD, while a higher lifetime number of sexual partners (LNSP) (OR = 1.431, 95% CI 1.009-2.031; P = 0.045) and a greater number of spontaneous miscarriages (OR = 1.519, 95% CI 1.021-2.262; P = 0.039) are suggested associated with an increased risk of PPD. In the MVMR result, only AFB (OR = 0.804, 95% CI 0.661-0.978; P = 0.029) and spontaneous abortion (OR = 1.182; 1.036-1.348; P = 0.013) retained a direct causative relationship with PPD.
Conclusions: We confirmed that AFB and spontaneous abortion are high-risk factors for PPD. Our findings further support revising the diagnostic criteria (ICD-10) such that PPD is independent of major depressive disorder.
Enhancing Software Defined Network security through Blockchain and Performance Comparison in IOT Network
Authors: Zoraida B. S. E. , Indumathi G. 
Published: October 2023

Abstract
Internet of Things is a paradigm-shifting innovation with far-reaching implications for many industries and spheres of contemporary life, including but not limited to communications, finance, and even national defense (through initiatives like the Internet of Battlefield / Military Things). Security, equivalence, potential consumption, and device heterogeneity are just a few of the IoT’s long-standing issues. When transmitting data over IoT and edge networks, security and privacy must be prioritised due to the scarcity of available devices and computing resources (e.g., processing and storage). Whether deliberate or accidental , data manipulation in an IoT network may have tangible effects. This study examines how blockchain technology and SDN could collaborate to provide solutions. With a secure, novel, and potentially efficient routing protocol, our blockchain-enabled IoT networks’ cluster-based SDN controller architecture is a positive development. This architecture does away with wasteful Proof-of-Work (POW) authentication in favour of a more secure distributed-trust-based approach. Even low-powered Internet of Things (IoT) devices may use blockchain technology. The experimental findings reveal EESCFD, AOMDV, SMSN, AODV, and DSDV regarding throughput, latency, and potential using that the cluster structure-based routing protocol outperforms. Our studies’ findings indicate that our proposed architecture achieves better than the conventional blockchain regarding transaction throughput and latency.
Comparative Analysis of Interatrial Septal Aneurysm Detection: ECG Image-Based CNN vs. ECG Data- Driven ANN Approach
Authors: Saim Mohammed Marouane , Ammor Hassan , Alami Mohamed 
Published: October 2023

Abstract
Interatrial septal aneurysms are complex cardiovascular conditions that demand accurate and reliable diagnostic tools. In this study, we present a comparative analysis of two distinct machine learning approaches for the detection of interatrial septal aneurysms using electrocardiogram (ECG) data and images. The first approach employs an Artificial Neural Network (ANN), while the second leverages Convolutional Neural Networks (CNN). Our results reveal a significant disparity in performance between these two methods. The CNN-based model achieves an impressive accuracy of 98%, surpassing the ANN's accuracy of 70%. Similarly, the F1 score, a measure of model precision and recall, demonstrates superior performance for the CNN (93%) compared to the ANN (73%). Moreover, the area under the Receiver Operating Characteristic (ROC) curve highlights the CNN's robustness with an AUC of 0.9, while the ANN lags behind with an AUC of 0.789. This study underscores the effectiveness of CNNs in accurately identifying interatrial septal aneurysms from ECG images, providing valuable insights for the development of advanced diagnostic tools in cardiovascular medicine. These findings emphasize the potential of deep learning techniques to enhance the accuracy and efficiency of disease detection in clinical settings.
Neuroprotective effects of miRNA-326 knockout in neonatal hypoxic–ischemic brain damage mice via the δ–opioid receptor
Authors: Li Wenqi , Tao Lu , Zhao Qiao , Dai Yimin , Qiu Jie 
Published: October 2023

Abstract
Hypoxic–ischemic brain damage (HIBD) in the perinatal period is an important cause of cerebral damage and long-term neurological sequelae, and can place much pressure on families and society. Our previous study demonstrated that miRNA-326 reduces neuronal apoptosis by up-regulating the δ-opioid receptor (DOR) under oxygen–glucose deprivation in vitro. In the present study, we aimed to explore the neuroprotective effects of the miRNA-326/DOR axis by inhibiting apoptosis in HIBD using neonatal miRNA-326 knockout mice. Neonatal C57BL/6 mice, neonatal miRNA-326 knockout mice, and neonatal miRNA-326 knockout mice intraperitoneally injected with the DOR inhibitor naltrindole were treated with hypoxic ischemia (HI). Neurological deficit scores, magnetic resonance imaging, terminal deoxynucleotidyl transferase-mediated uridine 5′-triphosphate-biotin nick end labeling, and caspase-3, Bax, and B-cell lymphoma 2 (Bcl-2) expression were evaluated on day 2 after HI. Neurobehavioral analyses, including the righting reflex test, suspension experiment, and cliff escape test, were performed on days 2 and 28 after HI. Additionally, the Morris water maze test was conducted on day 28. Compared with HI-treated neonatal C57BL/6 mice, HI-treated neonatal miRNA-326 knockout mice had higher neurological deficit scores, smaller cerebral infarction areas, and improved motor function, reaction ability, and long-term spatial learning and memory. These effects were likely the result of inhibiting apoptosis; the DOR inhibitor reversed these neuroprotective effects. Our findings indicate that miRNA-326 knockout plays a neuroprotective effect in neonatal HIBD by inhibiting apoptosis via the target gene DOR.
Health-related quality of life among women diagnosed with in situ or invasive breast cancer and age-matched controls: a population-based study
Authors: Bøhn Synne S.K.H. , Svendsen Karianne , Balto Aina , Gjelsvik Ylva M. , Myklebust Tor Åge , Børøsund Elin , Eriksen Hege R. , Meland Anders , Østby Kjersti , Nes Lise Solberg , Kiserud Cecilie E. , Reinertsen Kristin V. , Ursin Giske 
Published: October 2023

Abstract
Purpose
Health-related quality of life (HRQoL) is affected when you receive a cancer diagnosis. However, there are few comparisons of HRQoL from population-based samples of invasive breast cancer (BC)and ductal carcinoma in situ (in situ) and. We took advantage of such a data collection and investigated various aspects of HRQoL in women with invasive BC and in situ compared to age-matched BC free controls.
Methods
This cross-sectional study utilized data collected in 2020 from an ongoing digital survey. Cases were invited 3 weeks to 10 months after diagnosed with invasive BC (n = 1311) or in situ (n = 142) along with age-matched controls from the general population (n = 2827). HRQoL was assessed using EORTC QLQ-C30 and included scores assessing global quality of life (global HRQoL), functions and symptoms. Multivariable regression analyses were used to compare HRQoL between cases and controls and to identify factors associated with global QoL and fatigue.
Results
Invasive BC cases had clinically relevant (≥ 10 points) lower (worse) scores on global HRQoL, role- and social functioning in addition to more fatigue, insomnia, and appetite loss than controls. In situ cases had lower scores on role - and social functioning and more fatigue than controls. Invasive BC cases scored worse than in situ on all domains, but the differences were not considered clinically relevant. Exercise, age ≥ 50 years, drinking alcohol and not smoking were associated with better global HRQoL and less fatigue in cases and conotols.
Conclusion
Women with invasive BC and in situ reported lower role- and social functioning and more fatigue than controls, capturing that the diagnosis have large impact on the everyday life of these women. Exercising had a superior effect on better global HRQoL and less fatigue and should, whenever possible, play a key role in BC treatment.
A Hybrid U-Net Approach to Digital Image Forgery Detection
Authors: Ahirwar Shivnarayan , Pandey Alpana 
Published: October 2023

Abstract

To detect and localise picture modifications, image forgery detection is vital study. This work introduces a hybrid U-Net-based image forgery detection method that blends deep learning with semantic segmentation models. A hybrid U-Net architecture with feature extraction, semantic segmentation, and classification modules is used in our method. Feature extraction uses the VGG16 network, whereas semantic segmentation uses a modified U-Net design with residual connections. The classification module detects picture modifications using binary classification on a fully linked network. We tested our method on the CASIA2 dataset, which contains 10,000 photos with various image alterations. We tested our strategy using 5-fold cross-validation and compared it to several state-of-the-art methods. Our method outperformed others in accuracy, robustness, and efficiency, showing its promise for identifying image modifications in real-world circumstances. Our effective and efficient method for identifying diverse picture modifications with high accuracy and robustness makes a substantial addition to image forgery detection. Digital forensics, picture authentication, and related industries will benefit from the suggested technique, which will make image-based systems more trustworthy.
A Novel Fluorescent and Colorimetric Method for the Determination of Formaldehyde Based on Albumin Nanoparticles-Polyethyleneimine-Ag + Ion Nanohybrids
Authors: Pang Shu , Zhong Qinping , Zhao Yan , Xia Nengxing 
Published: October 2023

Abstract
Formaldehyde is a common aldehydes in the environment. As a carcinogenic substances, high dose exposure may lead to poisoning and death. Long-term exposure to low doses of formaldehyde can also do great harm to human skin, respiratory organs and human immune system. Therefore, it is necessary to develop a method to detect formaldehyde content in real time. In this paper, bovine serum protein was used as the main raw material to prepare fluorescence protein nanoparticles (BSA NPs). The prepared BSA NPs were combined with polyethylenimide (PEI) and silver ion (Ag+) for further determination of formaldehyde content at room temperature. The particle size, potential, fluorescence and absorbance properties of BSA NPs, BSA NPs combined with Ag+ ions (BSA NPs-Ag), and BSA NPs combined with PEI and Ag+ ions complex (BSA NPs-PEI-Ag) were studied and characterized. In this paper, based on the BSA NPs-PEI-Ag system, a new fluorescent and colorimetric method for the determination of formaldehyde was established in the range of 0-1.92 mg·mL− 1. Moreover, it was found that semi-quantitative visual detection of formaldehyde content could also be realized based on the color change of the solution.
Pediatric Cancer Patients Vaccinated Against SARS-CoV-2 – A Clinical and Laboratory Follow-Up
Authors: Siebald Benjamin , Groll Andreas H. , Salou Sarah , Boldt Andreas , Seiffert Sabine , Sack Ulrich , Reemtsma Judith , Jassoy Christian , Klusmann Jan-Henning , Ciesek Sandra , Hoehl Sebastian , Lehrnbecher Thomas 
Published: October 2023

Abstract
Background
Vaccination against SARS-CoV-2 is recommended for cancer patients. However, long-term data on the effectiveness in the pediatric setting are lacking.
Methods
Pediatric patients < 18 years on active treatment for cancer and without prior SARS-CoV-2 infection received three doses of an mRNA vaccine. The clinical course, and the humoral and cellular immunity were evaluated at the end of the follow-up period of ≥ 1 year after the third dose of vaccine.
Results
SARS-CoV-2 infection occurred in 17 of 19 analyzed patients (median age 16.5 years) during the follow-up period (median 17 months), but no severe symptoms were seen. ≥1 year after the last SARS-CoV-2 antigen exposure, 4 of 17 patients had received the recommended booster vaccine. At the end of the follow-up period, all evaluable 15 patients had anti-SARS-CoV-2 receptor-binding domain IgG antibodies. Twelve of the 15 patients had neutralizing antibody titers ≥ 1:10 against the Delta variant, 12/15 and 13/15 against the BA.1 and BA.5 variant, respectively. Specific T cells against SARS-CoV-2 antigens were seen in 9/13 patients.
Conclusions
Most SARS-CoV-2 vaccinated pediatric cancer patients had mild infections and limited interest in booster vaccination. One year after the last antigen exposure, which was mostly an infection, humoral immune responses remained strong.
German Clinical Trials Register DRKS00025254, May 26, 2021
Epigenetic aging in older people living with HIV in Eswatini: a pilot study of HIV and lifestyle factors and epigenetic aging
Authors: Dye Christian K. , Wu Haotian , Jackson Gabriella L. , Kidane Altaye , Nkambule Rejoice , Lukhele Nomthandazo G , Malinga Bongiwe Prudence , Chekenyere Rhinos , El-Sadr Wafaa M. , Baccarelli Andrea A. , Harris Tiffany G. 
Published: October 2023

Abstract
Background: People living with HIV (PLHIV) on effective antiretroviral therapy (ART) are living near-normal lives. Although they are less susceptible to AIDS-related complications, they remain highly vulnerable to non-communicable diseases (NCD). In this exploratory study of older PLHIV (OPLHIV) in Eswatini, we investigated whether biological aging (i.e., the difference between epigenetic age and chronological age, termed ‘epigenetic age acceleration [EAA]’) was associated with HIV-related parameters, and whether lifestyle factors modified these relationships. We calculated EAA focusing on the second-generation epigenetic clocks, PhenoAge and GrimAge, and a pace of aging biomarker (DunedinPACE) among 44 OPLHIV in Eswatini.
Results: Among participants, the PhenoAge clock showed older epigenetic age (68 years old [63, 77]) but a younger GrimAge epigenetic age (median=56 years old [interquartile range=50, 61]) compared to the chronological age (59 years old [54, 66]). Participants diagnosed with HIV at an older age showed slower DunedinPACE (β-coefficient [95% Confidence Interval]; -0.02 [-0.04, -0.01], p=0.002) and longer duration since HIV diagnosis was associated with faster DunedinPACE (0.02 [0.01, 0.04], p=0.002). The average daily dietary intake of fruits and vegetables was associated with faster DunedinPACE (0.12 [0.03, 0.22], p=0.01) and modified the relationship between HIV status variables (number of years living with HIV since diagnosis, age at HIV diagnosis, CD4+ T cell counts) and PhenoAge EAA, and DunedinPACE.
Conclusions: Biological age is accelerated in OPLHIV in Eswatini, with those living with HIV for a longer duration at risk for faster biological aging. Lifestyle factors, especially healthier diets, may attenuate biological aging in OPLHIV. To our knowledge, this is the first study to assess biological aging in Eswatini and one of the few in sub-Saharan Africa.
Towards Sustainable Battery Recycling: Selective Separation of Nickel(II) and Cobalt(II) in an Adsorbent Fixed-Bed Reactor
Authors: Robeck Björn , Horn Helena 
Published: October 2023

Abstract
Caused by scarce resources of critical heavy metals and the increasing resource requirements e.g. for lithium-ion batteries, effective selective separation processes for the reuse of such materials are of high interest. In this study, the competitive dynamic adsorption of nickel (Ni(II)) and cobalt (Co(II)) by a silica adsorbent functionalized with amino-polycarboxylate derivative ligands (HSU331) under recycling process conditions, but adsorption adverse prerequisites, like acidic pH-value, and high temperatures, respectively (pH = 3.5, T = 20°C, and T = 50°C, respectively) and varying concentrations (Ni(II):Co(II) 1:1 (5.0, and 10 mmol∙L− 1, respectively), Ni(II):Co(II) 3:1 and 1:3 (3.0 mmol∙L− 1 and 1.0 mmol∙L− 1 vice versa) were investigated. A displacement desorption of Co(II) in favour of the binding of more Ni(II) was observed. Maximum loadings of 0.95 µmolNi(II)∙µmolLigand−1 (28,3 mgNi(II)∙gAdsorbent−1), and 0.48 µmolCo(II)∙µmolLigand−1 (14,3 mgCo(II)∙gAdsorbent−1) at T = 20°C and 1.0 µmolNi(II)∙µmolLigand−1 (29,9 mgNi(II)∙gAdsorbent−1) and 0.18 µmolCo(II)∙µmolLigand−1 (5,38 mgCo(II)∙gAdsorbent−1) at T = 50°C, were achieved, respectively. These results demonstrate a distinctly selective separation of Ni(II) in the presence of Co(II) by HSU331.
Music and Pedagogy: The Role of Cultural and Demographic Variables
Authors: Trivedi Tara Naomi 
Published: October 2023

Abstract
Research has shown that music activates neural pathways of the brain involved in memory and cognition, and can effectively promote learning. This study brought in the voices of underrepresented groups by exploring the role of socio-cultural variables in understanding how music is perceived and related to memory among individuals from different backgrounds. A multi-methodological study was conducted drawing on both quantitative and qualitative methods. A total of 91 participants listened to a version of the Preamble of the US Constitution under one of 3 randomly assigned conditions (i.e., reading, rap, or country version) and then completed a memory-based assessment. Bivariate comparisons using t-tests and multivariate linear regression were used to measure relationships between socio-demographic variables and performance. A content analysis was used to explore respondents' feelings about the experiment using open-ended questions. Results revealed that peoples’ perceptions of the mode of delivery of the Preamble and their subsequent performance on the assessment were influenced by a variety of socio-demographic variables, including nativity and race/ethnicity, as well as the audio mode of delivery and their feelings about it. The findings point to the need for sensitivity to the diversity in individuals’ backgrounds when using music to promote learning.