bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sistema de recolección de datos topográficos para la construcción de curvas de nivel utilizando sistema de posicionamiento global
Authors: Romero Rodríguez Henry , Sambrano Etxabe Eykis , Contreras Muñoz Julysa Tibisay 
Published: July 2024

Introducción— La construcción de curvas de nivel es una actividad diaria y cotidiana para la topografía, la ingeniería civil y la arquitectura, con estos planos se realiza un levantamiento de la información de la superficie terrestre. Para este proceso se usan teodolitos, que de manera manual van recorriendo una superficie determinada y tomando las diferentes alturas contra un punto de referencia. La introducción de sistemas electrónicos para la toma de datos permitiría realizar este proceso de manera más rápida y eficiente.
Objetivo— Por esto se plantea el desarrollo de un sistema de recolección de datos topográficos que permita la construcción de curvas de nivel a partir de un módulo receptor GPS.
Metodología— Para alcanzar esta meta, se realizó una investigación experimental que incluye la revisión teórica, seguida del diseño, la construcción del modelo y construcción del prototipo con una validación de resultados utilizando estadística descriptiva.
Resultados— De esta manera, se obtuvo un dispositivo capaz de realizar el levantamiento de la información topográfica necesaria para la construcción de las curvas de nivel con un error en las tomas, bastante bajo.
Conclusiones— La información del sistema de posicionamiento global se obtuvo en formato NMEA0183 de la cual se extrajo los datos específicos necesarios para almacenarlos y luego entregarlos a los diversos softwares que normalmente se usan para la construcción de las curvas de nivel.
Chromium and Zinc removal from synthetic industrial wastewater in pilot-scale constructed wetlands planted with Cyperus odoratus L
Authors: De Moya Sánchez Angel , Casierra-Martínez Henry Alberto , Vargas-Ramírez Ximena , Caselles-Osorio Aracelly 
Published: July 2024

Introduction: Constructed wetlands (CWs) are a recognized technology to treat industrial wastewater.
Objective: A pilot system of two horizontal subsurface flow CWs was used to remove Cr and Zn from industrial synthetic wastewater.
Method: The study was carried out at Universidad del Atlántico in Barranquilla, Colombia. Two containers of 0.375 m2 were filled with a gravel bed (~10 mm and 40% of porosity) and a 0.3 m water column. One container was planted with Cyperus odoratus L. and another without plants was used as a control.
Results: The removal efficiency of Cr and Zn was 93% and 96% in the CW planted, respectively and 67% and 98% removal were obtained in the unplanted system with statistical differences (P<0,05). The observed difference in biomass production (0.1 and 0.6 kg/m2) could be related to seasonal weather that could have favored the growth of the plant. C. odoratus reached a Translocation Factor greater than 1.5 for Cr and Zn, which is greater than that, reported by others for Cyperus species. However, a Bioconcentration Factor > 13.6 for Zn and < 7.7 for Cr indicated that C. odoratus is an accumulator species for Cr and Zn. Sorption metal processes in gravel can be occurring due to the high removal efficiency of Zn in unplanted systems
Conclusions: These results show that C. odoratus could be recommended for use in constructed wetlands technology due to fast-growing and absorption and translocation heavy metals capacity.
Defining degradability landscape of protein degraders
Authors: Elemento Olivier , Du Wei 
Published: July 2024

Abstract

Targeted protein degradation (TPD) is an emerging therapeutic modality. But how degradation efficacy is jointly determined by factors underlying this multi-step process is poorly understood. Here we present a succinct quantitative framework for modeling cellular mechanism of action of protein degraders, allowing for prediction of their cellular efficacy with practically obtainable parameters. Applying this model to published data on 41 different targets revealed a universal range of degradation rate around 1 min-1, which reflected the efficiency characteristic of TPD process. To provide a holistic characterization of degradation propensity of a target of interest, we define “degradability landscape”, and showed how it’s influenced by key factors. For kinase targets, we further quantified functional inhibition that enabled direct comparison between degrader and small molecule inhibitors. From above analysis, we derived several general guidelines for achieving potent degradation and proposed significant development opportunities of protein degraders from advantageous efficacy aspect.
Automatic diabetic retinopathy detection in fundus images using Multi-level fire hawk convolution neural network
Authors: Tomar Mohit Singh , Jhapate Arun Kumar , Dronawat Ruchi , Chaure Rupali , Jhapate Monika 
Published: July 2024

Abstract

Diabetic Retinopathy (DR) occurs as a result of Diabetes mellitus over an extended period, and it is a microvascular disorder. People with diabetes are more likely to develop diabetes-related complications. According to the World Health Organization, there were 285 million people with diabetes in 2010, and this number will rise to 439 million by 2030. The number of people with DR with vision-threatening disease approximates one-fourth of the total number. Early detection and classification of DR are essential to maintaining the patient's vision. Thus, in this work, we have proposed a multilevel fire hawk convolution neural network (MLFHCNN)-based technique for DR detection. Initially, the retinal fundus images are collected from the dataset and preprocessed using image enhancement and illumination correction. Following preprocessing, the images are segmented using enhanced UNet. After segmentation, the segmented image is classified using the MLFHCNN. The CNN classifier is optimized using Fire Hawk Optimizer (FHO) Optimizer, which allows us to detect both the structure and hyperparameters of CNN simultaneously. For the evaluation of this proposed method, the retinal fundus multi-disease image dataset (IDRiD) is used. Python is used to implement the proposed method.
Wafer-Scale Integration of Freestanding Photonic Deviceswith Color Centers in Silicon Carbide
Authors: Majety Sridhar , Norman Victoria , Saha Pranta , Rubin Alex , Dhuey Scott , Radulaski Marina 
Published: July 2024

Abstract

Color center platforms have been at the forefront of quantum nanophotonics forapplications in quantum networking, computing, and sensing. However, large-scaledeployment of this technology has been stifled by a lack of ability to integrate photonicdevices at scale while maintaining the properties of quantum emitters. We address thischallenge in silicon carbide which has both commercially available wafer-scale substratesand is a host to color centers with desirable optical and spin properties. Using ionbeam etching at an angle, we develop a 5-inch wafer process for the fabrication oftriangular cross-section photonic devices in bulk 4H-SiC. The developed process has avariability in etch rate and etch angle of 5.4% and 2.9%, respectively. Furthermore, theintegrated color centers maintain their optical properties after the etch, thus achievingthe nanofabrication goal of wafer-scale nanofabrication in quantum-grade silicon carbide.
Proactivity, Rolefulness, and School Maladjustment: A Longitudinal Study of Japanese High School Students
Authors: Suzuki Mikie , Kato Daiki , Sakai Makiko , Asai Keigo 
Published: July 2024

Abstract

Utilizing longitudinal data, this study examined the relationship between rolefulness, proactivity, and school maladjustment and how these factors interrelate over time among high school students in Japan. The results indicated that a proactive personality mediates satisfaction with social roles and decreases school maladjustment. Additionally, social rolefulness mediates proactivity and reduces maladjustment symptoms. These findings suggest that students who actively seek roles in their school environment and derive satisfaction from them are less likely to experience maladjustments. Moreover, positive role experiences may foster proactive traits and reduce school maladjustment. This study examined the impact of school maladjustment and emphasized the importance of rolefulness and having a proactive personality as protective factors against students’ school maladjustment. Further qualitative and longitudinal studies across diverse contexts are recommended to deepen the understanding and develop effective interventions to reduce maladjustment and suicide among youth.
Risk of stroke for AMI treated with temporary mechanical circulatory support: ten-year data from National Inpatient Sample
Authors: Wu Jing , Li Chenguang , Xu Zheng , Wang Baoguo , Zhang Mingyou 
Published: July 2024

Abstract

Objectives
The aim of this study was to assess the risk of stroke for temporary mechanical circulatory support (tMCS) device treated acute myocardial infarction (AMI).
Background
Data are limited regarding risk of stroke for temporary mechanical circulatory support (tMCS) device treated acute myocardial infarction (AMI).
Methods
The national inpatient sample database was analyzed to identify adults who were hospitalized for AMI between 2012 and 2021, hospitalizations were grouped based on the temporary mechanical circulatory support device.
Study design
In the final cohort, there are 8,272,163 (96.0%) weighted hospitalizations treated without tMCS, 265,870 (3.1%) with Intra-Aortic Balloon Pump (IABP) alone, 59,240 (0.7%) with Impella alone, and 16,225 (0.2%) with Extracorporeal Membrane Oxygenation (ECMO) used during the hospitalization.
ResultsThe overall stroke rates for patients who treated without tMCS, IABP alone, Impella alone, and ECMO group were 3.41%, 3.46%, 4.51%, and 13.34% respectively. Specifically, the rates of ischemic stroke for these groups were 2.95%, 3.12%, 3.96% and 10.11% respectively. The rates for hemorrhagic stroke were 0.68%, 0.55%, 0.81%, and 4.90% for the same groups. In the stepwise forward Cox regression analysis, the adjusted OR (aOR) of ECMO use for overall stroke was 3.04 (95%CI [2.66-3.48]), followed by Impella only use with an aOR of 1.79 (95%CI [1.61-2.00]), and atrial fibrillation (aOR 1.34, 95%CI [1.31-1.38]). The subgroup analysis revealed that hospitalization with age younger than 50 years old, those without hypertension, and those presented with ST-elevation myocardial infarction are at particularly high risk of stroke for ECMO treated AMI.
Conclusion This ten years AMI hospitalizations analysis revealed that ECMO and Impella treatment associated with increased risk of both ischemic and hemorrhagic stroke. Particularly for those younger than 50, those without hypertension, and those presented with ST-elevation myocardial infarction. However, treatment with IABP alone does not increase the risk of stroke.
Evaluating the effectiveness of neuron coverage metrics: a metamorphic-testing approach
Authors: Zhou Zenghui , Poon Pak-Lok , Chen Tsong Yueh , Qiu Kun , Zhou Qinghua , Zheng Zheng 
Published: July 2024

Abstract

Deep neural networks (DNNs) are now widely used in many sectors of our society. This phenomenon also means that if these DNNs contain faults, they will have profound adverse impacts on our daily lives. Thus, DNNs have to be comprehensively tested for ''correctness'' before they are released for use.Since such testing involves the use of a DNN test set, the comprehensiveness of this test set is of utmost importance. Until now, many researchers have proposed their own neuron-coverage (NC) metrics to measure the comprehensiveness of a DNN test set. However, their studies solely focused on those DNN testing scenarios with the presence of a test oracle. We observed that, in reality, there are many DNN testing scenarios where a test oracle does not exist and, therefore, the results of all previous studies may be inapplicable to these testing scenarios.Inspired by this observation, we have performed an empirical study to investigate the usefulness of some common and major NC metrics in terms of correlation analysis and invariability analysis. Our experiment results showed that, on the one hand, some NC metrics are useful measures of DNN test-set comprehensiveness (in terms of correlation analysis), but on the other hand, these metrics are not robust enough (in terms of invariability analysis).
Effect of bleeding during Pregnancy on Maternal and Perinatal Adverse Outcomes in Northern Ethiopia: - Using two years data from Hospital
Authors: Gebrekidan Mamit Gebreslassie , Fisseha Meseret Abay , Gebreyesus Aregawi , Fisseha Girmatsion 
Published: July 2024

Abstract

Background
Bleeding during pregnancy is an obstetric emergency associated with high maternal and neonatal morbidity and mortality. The effect of bleeding during pregnancy considered to be higher on maternal and perinatal adverse outcome. Hence this study assessed the effect of bleeding during pregnancy on maternal and perinatal adverse outcomes at ayder comprehensive specialized hospital, Mekelle, Tigray, Ethiopia, 2024.
Method
Institutional based retrospective cohort study was used among 539 mothers who gave birth from September 2019 to August 2021 at ayder comprehensive specialized hospital, Tigray, Ethiopia. mothers who gave birth with bleeding during pregnancy and without bleeding during pregnancy were grouped as exposed and nonexposed respectively. Systematic sampling method was used to select mothers from medical records. Data were collected from medical record by reviewing retrospectively. Modified poisson regression model was used to estimate relative risk and factors associated with adverse outcomes.
Results
Incidence of adverse maternal outcome among mothers with history of bleeding during current pregnancy was 46.1% compared to 14.2% without history of bleeding during current pregnancy. About 57.2% of mothers with history of bleeding during current pregnancy and 18.9% of mothers without history of bleeding during current pregnancy developed adverse perinatal outcome. Mothers with bleeding during pregnancy were 3.94 times more likely to develop postpartum hemorrhage (ARR = 3.94 at 95% CI (1.76, 8.83), 2.84 times more likely to undergo emergency caesarean section (ARR = 2.84 at 95% CI 2.07, 3.88), gave birth to preterm birth ARR = 3.93 at 95% CI of (2.78, 5.56), low birth weight; ARR = 4.52 at 95% CI of (3.01, 6.64) and still birth; ARR = 3.75 at 95% CI of (1.9, 7.38) compared to mothers without history of bleeding during pregnancy.
Conclusion and recommendation:
bleeding during pregnancy is causing higher risk of adverse maternal and perinatal outcomes. It leads to postpartum hemorrhage, emergency cesarean section, higher risk of preterm birth, low birth weight, still birth, perinatal death, low Apgar score and admission to NICU. Early identification of women at risk of antepartum hemorrhage and early management and follow-up helps to prevent adverse maternal and perinatal outcomes associated with antepartum hemorrhage.
Extraction and Spatiotemporal Analysis of Impervious Surfaces in Chongqing Based on Enhanced DeepLabv3+
Authors: Wei Dengfeng , Chang Yue , Kuang Honghai 
Published: July 2024

Abstract

In this study, Sentinel-2 time series satellite remote sensing imagery and an improved CA-DeepLabV3+ semantic segmentation network were utilized to construct a model for extracting urban impervious surfaces. The model was used to extract the distribution information of impervious surfaces in the central urban area in Chongqing from 2017 to 2022. The spatiotemporal evolution characteristics of the impervious surfaces were analyzed using the area change and standard deviational ellipse methods. The results indicate that the improved CA-DeepLabV3+ model performs exceptionally well in identifying impervious surfaces, with precision, recall, F1 score, and MIoU values of 90.78%, 90.85%, 90.82%, and 83.25%, respectively, which are significantly better than those of other classic semantic segmentation models, demonstrating its high reliability and generalization performance. The analysis shows that the impervious surface area in Chongqing’s central urban area has grown rapidly over the past five years, with a clear expansion trend, especially in the core urban area and its surrounding areas. The standard deviational ellipse analysis revealed that significant directional expansion of the impervious surfaces has occurred, primarily along the north–south axis. This model can achieve large-scale, time-series monitoring of the impervious surface distribution, providing critical technical support for studying urban impervious surface expansion and fine urban management. Future research will further advance the extraction of impervious surfaces based on high-resolution and hyperspectral remote sensing data to obtain more detailed and accurate distribution data, aiding in precise urban management and environmental protection.
Retroactive merger review of Duke and Progress Energy in North and South Carolina
Authors: Vij Sarthak 
Published: July 2024

Abstract

In July 2012, Duke Energy Corporation completed its acquisition of Progress Energy, Inc., forming the largest electric utility company in the United States. This merger occurred within the unique regulatory environments of North and South Carolina, which operate regulated electricity markets outside the governance of Regional Transmission Organizations (RTOs). This study investigates the impact of the Duke-Progress Energy merger on electricity prices for residential, industrial, and commercial consumers in these states using a synthetic control method. Our analysis reveals that post-merger, North Carolina experienced significant reductions in electricity prices across all sectors, indicating that merger efficiencies were effectively transferred to end-users. Conversely, South Carolina saw a relative increase in electricity prices despite a more competitive market structure. These contrasting outcomes highlight the complex interplay between market dynamics, regulatory oversight, and operational efficiencies in the electricity sector. The findings underscore the importance of considering local market conditions and regulatory environments when evaluating the effects of utility mergers.
Antioxidant activity of Micractinium sp. (Chlorophyta) extracts against H2O2 induced oxidative stress in human breast adenocarcinoma cells
Authors: Bulut Onur , Engin Iskin , Sonmez Cagla , Oktem Huseyin Avni 
Published: July 2024

Abstract

In response to the growing demand for high-value bioactive compounds, microalgae cultivation has gained a significant acceleration in recent years. Among these compounds, antioxidants have emerged as essential constituents in the food, pharmaceutical, and cosmetics industries. This study focuses on Micractinium sp. ME05, a green microalgal strain previously isolated from hot springs flora in our laboratory. Micractinium sp. cells were extracted using six different solvents, and their antioxidant capacity, as well as total phenolic, flavonoid, and carotenoid contents, were evaluated. The methanolic extracts demonstrated the highest antioxidant capacity, measuring 7.72 and 93.80 µmol trolox equivalents.g-1 dry weight (DW) according to the DPPH and FRAP assays, respectively. To further characterize the biochemical profile, reverse phase high-performance chromatography (RP-HPLC) was employed to quantify twelve different phenolics, including rutin, gallic acid, benzoic acid, cinnamic acid, and β-carotene, in the microalgal extracts. Notably, the acetone extracts of Micractinium sp. grown mixotrophically contained a high amount of gallic acid (469.21 ± 159.74 µg.g-1 DW), while 4-hydroxy benzoic acid (403.93 ± 20.98 µg.g-1 DW) was the main phenolic compound in the methanolic extracts under heterotrophic cultivation. Moreover, extracts from Micractinium sp. exhibited remarkable cytoprotective activity by effectively inhibiting hydrogen peroxide-induced oxidative stress and cell death in human breast adenocarcinoma (MCF-7) cells. In conclusion, with its diverse biochemical composition and adaptability to different growth regimens, Micractinium sp. emerges as a robust candidate for mass cultivation in nutraceutical and food applications.
The FKBPL-based therapeutic peptide, AD-01, protects the endothelium from hypoxia-induced damage by stabilizing hypoxia inducible factor-α and inflammation
Authors: Ghorbanpour Sahar , Cartland Siân Peta , Chen Hao , Seth Sanchit , Ecker Rupert C. , Richards Claire , Aksentijevic Dunja , Padula Matthew P , Cole Louise , Warkiani Majid Ebrahimi , Kavurma Mary Meltem , McClements Lana 
Published: July 2024

Abstract

Aims: FK506-binding protein like (FKBPL) and its therapeutic peptide mimetic, AD-01, are crucial negative regulators of angiogenesis, yet the underlying mechanisms involved in hypoxia- and/or inflammation-induced cardiovascular disease (CVD) remain unclear. We investigated whether FKBPL regulates endothelial dysfunction induced by hypoxia or inflammation and if AD-01 can maintain endothelial cell function and vascular integrity under these conditions.
Methods and Results: Hindlimb ischemia was induced in mice by ligating the proximal and distal ends of the right femoral artery, and, after three days, the gastrocnemius muscle was collected for immunofluorescence staining, and RNA extraction. A 3D in vitro microfluidics model of endothelial cell function was developed to determine the cell migration and FKBPL-mediated mechanisms following treatments with: (i) 24 mM FKBPL targeted siRNA, (ii) 1 mM hypoxia inducible factor (HIF-1)α activator (DMOG), (iii) 50% (v/v) macrophage conditioned media (MCM), ± 100 nM AD-01. Here, we demonstrated that FKBPL expression is substantially downregulated in mice with hindlimb ischemia (p<0.05, protein; p<0.001, mRNA), correlating with reduced neovascularization and altered vascular adhesion molecule expression. In our real-time advanced 3D microfluidics endothelial cell model, hypoxia suppressed FKBPL (p<0.05) and VE-cadherin (p<0.001), leading to increased endothelial cell number and migration (p<0.001), which was restored by AD-01 treatment (p<0.01). Under inflammatory conditions, FKBPL (p<0.01) and HIF-1α (p<0.05) expression were elevated, correlating with increased endothelial cell migration (p<0.05). Unlike hypoxia, AD-01 did not affect endothelial cell migration in inflammation but normalized FKBPL (p<0.001), HIF-1α (p<0.05) and CD31 (P<0.05), expression. Proteomic analysis revealed that AD-01 treatment in hypoxia promoted vascular integrity and stimulated tissue remodelling proteins by increasing the expression of collagen alpha-1(XIX) chain and junctional cadherin associated-5 (JCAD) proteins.
Conclusions: FKBPL represents an important novel mechanism in hypoxia and inflammation-induced angiogenesis. The FKBPL-based therapeutic peptide, AD-01, could be a viable treatment option for CVD-related endothelial cell dysfunction.