bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heterojunction interface engineering for stable and effective porous Fe3O4-ZnO nanocomposites: A highly efficient synergistic Catalyst for oxygen evolution reaction
Authors: mondal aniruddha , Afzal Mohd , Mondal Sudip 
Published: October 2023

Abstract
The development of renewable energy technologies, such as fuel cells and metal-air batteries, relies heavily on the availability of highly efficient electrocatalysts for the oxygen evolution reaction (OER). In this study, a mesoporous Fe3O4-ZnO nanocomposites was synthesized using a simple and economically viable approach at a relatively low temperature. The observed catalytic activity of the prepared Fe3O4-ZnO nanocomposites mesoporous nanostructure was found to be remarkable. Additionally, the nanostructure exhibited a high tolerance to methanol and demonstrated durability towards oxygen evolution reaction (OER) in alkaline media. In the course of the experiment, it was observed that the catalyst exhibited noteworthy activity in the Oxygen Evolution Reaction (OER) when compared to the commercially available RuO2 catalyst. This was evident through a more negative onset potential and higher current. The catalyst's notable capacity for high oxygen reaction activity may potentially enhance the synergistic effect resulting from the combination of defect sites and the porous structure of Fe3O4-ZnO nanocomposites. The findings of this study indicate that the Fe3O4-ZnO nanocomposites exhibit promising attributes as an electrocatalyst with overpotential and Tafel slope value of 350 mV and 62 mVdec− 1 for the oxygen evolution reaction (OER) in real-world scenarios.
Developing Functional Thinking: From concrete to abstract through an embodied design
Authors: Wei Hang , Bos Rogier , Drijvers Paul 
Published: October 2023

Abstract

In addressing the challenge of fostering functional thinking (FT) among secondary school students, our research centered on the question of how an embodied design can enhance FT's different aspects, including input-output, covariation and correspondence views. Drawing from embodied cognition theory and focusing on action- and perception-based task design that uses light ray contexts and different function representations, we developed a digital-embodied learning environment, using the nomogram as a central representation. Our pilot study, involving four high-achieving eighth-grade students, provided insights into their physical interactions with these modules through a multi-touch digital interface. Analysis of video and audio recordings from the pilots, including students' hand gestures and verbal expressions, was guided by comparing hypothetical learning activities with the actual learning activities. The results show that (1) a concrete light ray context enables students to ground the abstract mathematical function concept, (2) the bimanual coordinating motion tasks, incorporating the covariation aspect of FT, allows students to connect their bodily experience with function properties, and (3) our embodied and dragging tasks support insight in the conversion between nomograms and graphs of functions, encouraging students' correspondence thinking by providing multiple perspectives to understand, reason about, and manipulate the function. In conclusion, our findings suggest the potential of digital-embodied tasks in fostering FT, evident in students' diverse strategies and reasonings of the conceptualization of FT.
Utilizing Olive Mill Solid Wastes from the Olive Oil Industry as a Robust Adsorbent for Methylene Blue Removal
Authors: Hamieh Malak , Tabaja Nabil , Tlais Sami , koubaissy Bachar , Hammoud Mohammad , Chawraba Khaled , Hamieh Tayssir , Toufaily Joumana 
Published: October 2023

Abstract
Ensuring access to affordable water treatment systems is paramount, given the dire situation where millions are deprived of clean drinking water. Industrial wastewater discharge, tainted with hazardous substances, including dyes like methylene blue (MB) from the textile sector, further emphasizes the need for water treatment to produce safe drinking water. This study explores the potential of Olive Mill Solid Waste (OMSW), an abundant and cost-effective agricultural waste in Mediterranean regions, to yield high-quality activated carbon (AC) with zinc chloride (ZnCl2) activation for MB adsorption. The activation process, carried out at a modest temperature of 500°C without the need for an inert atmosphere, resulted in AC with remarkable characteristics, boasting a substantial surface area of 1,184 cm2.g− 1 and a total pore volume of 0.824 cm3.g− 1. Extensive characterization of the AC was carried out through diverse techniques; Fourier Transform Infrared Spectroscopy (FT-IR), X-Ray Diffractometry (XRD), Brunauer, Emmett and Teller (BET) analysis, Zeta potential, Scanning Electron Microscopy (SEM), and Energy Dispersive X-ray (EDX) spectroscopy. The adsorption performance of the prepared AC was thoroughly evaluated through a comprehensive examination of various factors, including initial dye concentration, contact time, adsorbent dosage, and solution pH. The pH of the solution had minimal influence on MB adsorption, the maximum removal was 95% which was under slightly acidic pH conditions (5.8) and with an adsorbent dose of 0.4 g.L− 1 for a 50 mg.L− 1 MB concentration. Equilibrium data pertaining to MB adsorption were subjected to fitting with different models, namely Langmuir, Freundlich, and Temkin. Notably, the Langmuir model exhibited the best fit, revealing a maximum monolayer adsorption capacity of 500 mg.g− 1 at 25°C, and the adsorption kinetics closely followed a pseudo-second order model. These experimental results underscore the promising potential of Olive Mill Solid Waste (OMSW) as an affordable adsorbent for MB, hinting at its applicability for a diverse array of pollutant removal scenarios.
Growth and body composition of adolescents and young adults exposed to HIV and antiretroviral therapy in utero: a systematic review and meta-analysis
Authors: Costa Priscila R F , Guimarães Nathalia S , Lira Carlos R N , Leite Luana O , Silva Rita de Cássia Ribeiro da , Barreto Maurício Lima , Paixao Enny S 
Published: October 2023

Abstract

Introduction: Antiretroviral therapy (ART) is a highly effective measure to prevent mother-to-child transmission of the human immunodeficiency virus (HIV) and to decline mortality allowing children to reach adolescence and adulthood. However, studies evaluating in utero exposure to HIV/ART and adolescent growth are scarce. Thus, this study aims to summarize the evidence of observational studies about the growth and body composition of adolescents and young adults exposed to HIV and ART in utero. Methods: We conducted a systematic review using PubMed/MEDLINE, CENTRAL, Lilacs, EMBASE, CINAHL, and Web of Science databases. We included cohort studies that evaluated adolescents and young adults who were exposed to HIV and ART in utero. A meta-analysis was conducted to estimate the prevalence of low height-for-age (HAZ) and low BMI-for-age (BAZ). Also, meta-analyses for the mean values of HAZ and BAZ in the population after the follow-up period and for the mean change of HAZ and BAZ after the follow-up were conducted. Results: In total, twelve studies were included in this systematic review, 11 of those evaluated adolescents with perinatally acquired HIV. We estimated a prevalence of low HAZ of 26% (P = 0.26; 95%CI 95% CI 0.23–0.29) and low BAZ of 7% (P = 0.07; 95%CI95% CI 0.05–0.09). In this population, the mean value of HAZ was − 1.58 (95%CI95% CI -1.90; -1.27), and that for the BAZ was − 0.44 (95%CI95% CI -0.67; -0.21). We also identified an increase of 0.55 (MD: 0.55, 95% CI: 0.07;1.03) and 0.12 (MD: 0.12, 95% CI: -0.75; 0.99) in the mean values of the HAZ and BAZ, respectively, after the follow-up period. Discussion: Adolescents exposed to HIV/ART in utero continue to fail to thrive. However, BAZ found mean values within the normal limits recommended by the WHO, demonstrating that although delayed weight gain is common among adolescents with prenatally acquired HIV, BMI is less affected. Conclusions: Adolescents exposed to HIV/ART in utero continue to fail to thrive. However, the limited number of studies and their limitations have restricted the ability to draw consistent conclusions about the effect and magnitude of the exposure on anthropometric outcomes. Further studies are needed to better describe these relationships. PROSPERO Number: CRD42022372837
Modulation Recognition Based on Hybrid Deep Learning Networks
Authors: Sun Hao , yongjun sun 
Published: October 2023

Abstract

A hybrid deep learning network is proposed for recognition of both analog modulation and digital modulation. This scheme consists of two different networks. First, parameter estimation and transformation are introduced to correct the phase shift of the signal, and convolutional neural network and long short-term memory are combined to extract the spatial and temporal features of the signal, respectively. Second, convolutional neural network and Gated Recurrent Unit are used to classify easily confused signals, and global pooling is used to reduce the use of fully connected layers and reduce the amount of network parameters. Finally, the output features of the two networks are fused through the fusion layer, and the recognition of the signal modulation method is realized through two fully connected layers. To reduce the complexity of network training, a two-stage training scheme is used. The simulation of the proposed network on the standard data set RML2016.10A verifies that the proposed network effectively improves the recognition accuracy for both analog modulation and digital modulation.
Fronto-parietal and cerebellar circuits characterise individuals with high trait anxiety: a parallel ICA and Random Forest approach
Authors: Baggio Teresa , Grecucci Alessandro , Crivello Fabrice , Joliot Marc , Tzourio Christophe 
Published: October 2023

Abstract
Anxiety is a diffuse condition that can range from mild to more severe manifestations, including proper anxiety disorders. Specific sensitive periods such as adolescence and young adulthood are particularly vulnerable to anxious states and may favour the onset of future anxiety disorders. Until now, neuroanatomical research on anxiety has focused mainly on adults, employed univariate inference-based approaches, and considered one single neuroimaging modality, thus leading to an incomplete picture. The aim of the present study is to characterize the joint GM-WM contribution in high versus low trait anxiety, in a large sample of young individuals, exploiting a data fusion machine learning technique known as Parallel ICA, and to build a predictive model of trait anxiety based on a Random Forest classifier. Additionally, we aimed to characterize high anxiety individuals for their usage of maladaptive coping strategies, and other affective dimensions such as anger, impulsivity, and stress, and to test their relevance in predicting new cases of high trait anxiety.
At the neural level we found a fronto-parieto-cerebellar network to have a decrease gray matter concentration in high anxious individuals, and a parieto-temporal network to have an increase white matter concentration in high anxious individuals.
Additionally, at the psychological level, individuals with high anxiety are characterized by higher stress, cognitive and motor impulsivity, and avoidance/emotional coping.
Lastly, the Random Forest classifier robustly confirmed the goodness of the morphometric and psychological factors in predicting new cases of trait anxiety. As such, these findings may pave the road for the creation of an early biomarker of trait anxiety in young individuals, contributing to an early intervention to prevent the future development of anxiety disorders.
EpiVECS: Exploring spatiotemporal epidemiological data using cluster embedding and interactive visualization.
Authors: Mason Lee , Hicks Blánaid , Almeida Jonas 
Published: October 2023

Abstract
The analysis of data over space and time is a core part of descriptive epidemiology, but the complexity of spatiotemporal data makes this challenging. There is a need for methods which simplify the exploration of such data for tasks such as surveillance and hypothesis generation. In this paper, we use combined clustering and dimensionality reduction methods (hereafter referred to as ‘cluster embedding’ methods) to spatially visualize patterns in epidemiological time-series data. We compare several cluster embedding techniques to see which performs best along a variety of internal cluster validation metrics. We find that methods based on k-means clustering generally perform better than self-organizing maps on real world epidemiological data, with some minor exceptions. We also introduce EpiVECS, a tool which allows the user to perform cluster embedding and explore the results using interactive visualization. EpiVECS is available as a privacy preserving, in-browser open source web application at https://episphere.github.io/epivecs.
Study of Simultaneous Wireless Information and Power Transfer (SWIPT) in 5G - IoT
Authors: Bavethra M , Palani U 
Published: October 2023

Abstract

The SWIPT technology, recognized as a wireless energy harvesting technique to steer the advancement of subsequent generations of wireless systems, namely 5G and its successors. The Internet of Things is anticipated to enhance the life of human quality, though IoT devices are confronted with energy limitations stemming from available resource constraints. In recent years, SWIPT-based radio frequency will be regarded as a promising energy harvesting technique likely there will be an increase in number of devices connected to networks and applications in near future, which will increase the demand for next-generation wireless communications, causes an increase in energy consumption. As a consequence, energy harvesting and data transmission are necessary for the energy-efficient communication, therefore, green communications based on SWIPT are expected to become an essential component of both 5G and 5G+. SWIPT systems conventionally utilize ambient signals for both information transfer and energy supply. As such, the present dissertation endeavors to scrutinize SWIPT communication with the aim of engendering enhanced comprehension of the system's operation and performance. This paper reviews two levels of literature on multiuser SWIPT communications for 5G. First, SWIPT enabled the selective OFDM model. Second, SWIPT-enabled mm-wave propagation was reviewed for system characterized to 5G IoT devices.
Antiplatelet therapy prior to COVID-19 infection impacts on patients mortality: A propensity score-matched cohort study.
Authors: Sokolski Mateusz , Reszka Konrad , Adamik Barbara , Kilis-Pstrusinska Katarzyna , Lis Weronika , Pomorski Michał , Sokolowski Janusz , Doroszko Adrian , Madziarska Katarzyna , Jankowska Ewa Anita , Protasiewicz Marcin 
Published: October 2023

Abstract
Hyperinflammation and coagulopathy with interaction with platelets are the pathomechanisms responsible for the unfavorable outcome of COVID-19. Therefore, the role of antiplatelet therapy (AP) therapy in patients with COVID-19 is uncertain. The aim of this study was to investigate if AP has an impact on the in-hospital course and medium-term outcomes in hospitalized COVID-19 patients. The study population (2170 COVID-19 patients: 60 (19) years old, 50% male) was divided into a group of 274 patients receiving any AP prior to COVID-19 infection (AP group), and after propensity score matching, a group of 274 patients without previous AP (non-AP group). Patients from the AP group were less frequently hospitalized in the intensive care unit (9% vs. 15%, P=0.027), developed less often shock (9% vs. 15%, P=0.033), and required less aggressive forms of therapy. The AP group had more coronary revascularizations (5% vs. 1%, P=0.008) and strokes/TIA (5% vs. 1%, P=0.017). The bleeding rate was comparable (6% vs. 9%, P=0.370). The patients from the AP group had lower 3-month mortality: 31% vs. 39%, P=0.032; HR(95%CI): 0.69(0.51–0.93). The groups did not differ significantly in terms of 6-month mortality. The AP may have a beneficial impact on hospital course and mortality in COVID-19.
Impact of Donor Variant Anatomy on Graft Reconstruction in Living Donor Liver Transplantation
Authors: Saleem M. Asad , Khalid Abdullah , Haq Ihsan , Rashid Sohail , Khan M. Yasir , Dar Faisal Saud 
Published: October 2023

Abstract
Background
Living donor liver transplantation (LDLT) is a definitive treatment option in Asian countries where deceased donation is scarce. Various anatomical variations may occur, posing a significant challenge to liver transplant surgeons. This study aimedto evaluate the impact of a donor’s variant anatomy on graft reconstruction in liver transplantation.
Methods
Aretrospective analysis of 400 LDLTfrom March 2019 to March 2023 was conducted. Clinical data and operative details were collected. Kaplan Meier curve was used for biliary complications and survival.
Results
This study included 400 patients with a mean age of 43. There were 48 mortalities after a median follow-up of 18 months. The study found a significant relationship between cold ischemia time and portal vein anatomy type (p-value < 0.001). The most common graft arterial reconstruction was with RHA of the recipient (82.6%) and five (1.5%) anastomosed directly to the aorta via autologous saphenous vein graft. For most grafts with dual orifice, autologous Portal Vein Y-graft was used. There was no significant association between biliary reconstructive technique and biliary complications (p=0.50). Ductoplasty and anastomosis with higher biliary radicals were associated with a higher rate of biliary complications; 28% and 23%, respectively. The survival rates were 91% for biliary complications, 80% for HAT, and 92% for PVT. The overall survival rate was 88%.
Conclusions
A good outcome can be achieved with appropriate preoperative planning and modification of surgical technique. There was no association between biliary reconstructive technique and biliary and vascular complications.
Autoregression and Under-Sampled Autoregression Processes in Image and Texture Synthesis
Authors: Holton Matthew 
Published: October 2023

Abstract
While autoregression models have been identified as a tool for image synthesis and image processing for many years there has been limited progress in expanding the basic AR framework much beyond the initial concepts presented work published in the 1970s and 80s. In this paper I present some new developments in the use of AR models in texture synthesis. These come in two categories. Firstly the use of functional and conditional structures applied to the traditional AR regime use in scan-line texture synthesis. Secondly the use of under-sampling to both eliminate orthographic bias and support targeted texture design in the use of AR models as a general texture synthesis methodology. This is enhanced through the use of functional, conditional and image-based extensions to the under-sampled autoregression framework to expand to scope of this image and texture synthesis approach.
Predictors of parental acceptability of COVID-19 vaccination for children, especially trust in primary health care: a cross-sectional online survey from Iran
Authors: Sarbazi Ehsan , Masoudi Nazanin , Mehri Ahmad , Mehdizadeh Robab , Azizi Hosein , Pouraghaei Mahboub , Soleimanpour Hassan 
Published: October 2023

Abstract
BACKGROUND
Children are the most susceptible to vaccination within the people, thus it's critical to evaluate parents' and guardians' willingness to vaccinate their children. This study aims to investigate the acceptance prevalence of COVID-19 vaccination among children under 18 in Iran and its relationship with trust in the Priamry Health Care (PHC) system.
METHOD
A cross-sectional online survey of 549 Iranian parents was conducted between January and March of 2023. After adjusting for background factors, multivariate logistic regression model was applied to investigate the relationships between COVID-19 vaccination related factors and trust in PHC with parental acceptability.
RESULTS
Of 549 parents with the age range was between 19 to 67 years (median = 38 years), 358 (65.2%) were female. The prevalence of vaccine acceptance and vaccine hesitancy among parents was 257 (46.8%), and 53.2%, respectively. After adjusting for background features, child’s age (adjusted odds ratio [AOR] 0.81, 95% CI 0.71–0.91), child vaccination doses (1-dose: AOR 14.72, 95% CI 6.44–33.65, 2-dose: AOR 32.54, 95% CI 15.22–69.57), child’s disease (AOR 5.31, 95% CI 2.19–12.85), and trust in PHC (AOR 1.01, 95% CI 1.00-1.02) were associated with greater parental acceptability of COVID-19 vaccination.
CONCLUSIONS
The findings of this study suggest that the child’s age, vaccine doses received by the child, child’s diseases, and trust in PHC are significant in parental acceptability of COVID-19 vaccination for children in Iran. The results of this can be used in service planning regarding children COVID-19 vaccination.
Health risks related to metallic trace element contamination of Quaternary groundwater on the west coast of Lomé, Togo (West Africa)
Authors: ADJE K. , AHOUDI H. , OURO-SAMA K. , Dheoulaba S. Hodabalo , Gnon T. , Sadikou A. , Esso-Essinam B. Tchaa , Kissao G. 
Published: October 2023

Abstract
This study focuses on the physico-chemical analysis of 24 well water samples (collected in March 2023) from the Kodjoviakopé district (Lomé) and the quality assessment by comparison with the WHO standard. The analysis focused on physico-chemical parameters such as turbidity, pH and conductivity and on some metallic trace elements (cadmium, lead, iron, arsenic, chromium). It emerges from the analysis of the results that the well waters of the Kodjoviakopé district are highly mineralized, contaminated with cadmium, lead and arsenic; with strong contamination factors. In descending order of content, we note 220 times the WHO standard for arsenic; 33.92 times for the lead and 1.76 times for cadmium. The other elements analyzed showed values ​​that remain low compared to the different concentrations set by the WHO for drinking water. Overall, the well waters of the Kodjoviakopé district are contaminated with regard to the results, therefore posing a public health problem for the population of this locality. Sensitizing and educating the population on the effects of water contaminants and the policy of drinking water supply and sanitation in the area must be a priority for the country's authority.