bluuebunny/crossref_metadata_2025 huggingface dataset:
Dupilumab in Children and Adolescents with Severe Atopic Dermatitis and Severe Asthma: A Case Series
Authors: Russo Daniele , Pellegrino Giulia Michela , Di Filippo Paola , Ruggiero Teresa , Di Pillo Sabrina , Chiarelli Francesco , Sferrazza Papa Giuseppe Francesco , Attanasi Marina
Published: October 2023

The increasing incidence and common specific inflammatory type 2 intracellular pathways have recently allowed for the rise of new biologic therapies in two inflammatory chronic diseases in children: atopic dermatitis (AD) and severe asthma. Such therapies aim at relieving symptoms and reducing inflammation by treating the underlying molecular causes. Dupilumab is a monoclonal antibody indicated in children with moderate–severe AD and severe asthma ineffectively responsive to standard treatments. Here, we report a case series of seven consecutive children with moderate–severe AD, with three of them also affected by asthma and treated with dupilumab. The children experienced a reduction in the extent and severity of lesions and decreased intensity of symptoms, leading to better asthma control, a general improvement in sleep and quality of life (QoL), with a good safety profile. Notwithstanding the observed clinical improvement, further larger prospective studies are needed to better tailor the treatment duration and the potential preventive and long-lasting effects.
A Population Diversity-Based Artificial Bee Colony Algorithm for Assembly Hybrid Flow Shop Scheduling with Energy Consumption
Authors: Zuo Yandi , Wang Pan , Li Ming
Published: October 2023

Assembly shop scheduling and energy-efficient scheduling have attracted much attention in the past decades; however, energy consumption is often ignored in assembly hybrid flow shop scheduling. Neglecting energy consumption will greatly diminish the progress of sustainable manufacturing. In this study, an assembly hybrid flow shop scheduling problem considering energy consumption (EAHFSP) is investigated, and a population diversity-based artificial bee colony algorithm (DABC) is proposed to minimize the makespan and total energy consumption (TEC) simultaneously. Diversified search strategies based on rank value are introduced to the employed bee phase; a novel probability selection method in the onlooker bee phase is designed to control the selection pressure; moreover, a diversity control strategy is applied to improve the diversity of food sources and avoid falling into stagnation. A number of experiments based on 44 extended benchmark instances from the literature and a real case are conducted to test the performance of the DABC algorithm. The statistical results show that the DABC algorithm is superior to the other four state-of-the-art algorithms on over 70% of the instances corresponding to metrics IGD and c, which means that the DABC algorithm is effective and competitive in solving the considered EAHFSP.
Machine Learning Applied to Logistics Decision Making: Improvements to the Soybean Seed Classification Process
Authors: de Oliveira Quadras Djonathan Luiz , Cavalcante Ian , Kück Mirko , Mendes Lúcio Galvão , Frazzon Enzo Morosini
Published: October 2023

Soybean seed classification is a relevant and time-consuming process for Brazilian agribusiness cooperatives. This activity can generate queues and waiting times that directly affect logistics costs. This is the reason why it is so important to properly allocate resources, considering the most relevant factors that can influence their performance. This paper aims to present an approach to predicting the average lead time and waiting queue time for the soybean seed classification process, which supports the decision regarding the number of workers and machines to be deployed in the process. The originality of the paper relies on the applied approach, which combines discrete event simulation with machine learning algorithms in a real-world applied case. The approach comprises three steps: data collection to structure the simulation scenarios; simulation runs to generate artificial historical data; and machine learning applications to predict lead and queuing times. As a result, various scenarios using the data generated by machine learning were simulated, making it possible to choose the one that generated the best trade-off between performance, investments, and operational costs. The approach can be adapted to support the solution of different logistic-related decision-making problems that combine human and equipment resources.
Special Issue on Advanced Technologies for Bridge Design and Construction
Authors: Ario Ichiro , Chikahiro Yuki , Watanabe Gakuho
Published: October 2023

In light of the increasing frequency of large-scale natural disasters worldwide, critical infrastructures such as bridges, which serve as vital links between cities and prefectures, are often devastated [...]
Phytochemical Composition and Antioxidant Properties of Tambourissa ficus, a Mauritian Endemic Fruit
Authors: Bhajan Cheetra , Soulange Joyce Govinden , Sanmukhiya Vijayanti Mala Ranghoo , Olędzki Remigiusz , Harasym Joanna
Published: October 2023

Until now, the Mauritian endemic fruit Tambourissa ficus of the Monimiaceae family has remained unexplored. The study’s goal was to look into the phytochemical composition and antioxidant properties of different solvent extracts of the fruit. The presence of phenolics, flavonoids, terpenes, coumarins, alkaloids, and tannins was discovered through qualitative screening. The highest total polyphenol content (TPC = 9.78 ± 0.18 mg GAE/g dw) and the highest total flavonoid content (TFC = 8.84 ± 0.07 mg QE/g dw) was observed in ethanolic extract, while the highest total terpenoid content (TTC = 587.9 ± 0.72 mg linalool/g dw) was found in the acetone extract. The antioxidant activity vs. ABTS was the highest (4.71 ± 0.18 mg TE/g dw) in the ethanol extract. All three groups—TPC, TFC, and TTC revealed a moderate correlation with ABTS antioxidant activity, being 0.754, 0.778, and 0.774 on average, respectively. Ultraviolet–visible (UV-Vis) spectroscopy spectrophotometry and Fourier transform infrared spectroscopy (FTIR) spectroscopy confirmed the presence of polyphenolic compounds. Individual noteworthy phytochemicals, including the alkaloids chelidonine, protopine, and brevicarine, which are potential antioxidant compounds, were also discovered in the fruit through liquid chromatography–mass spectrometry (LC-MS) screening. The overall antioxidant activity of the fruit can, therefore, be attributed to the synergistic effects of the multiple chemical components in the extracts.
Visual Image Dehazing Using Polarimetric Atmospheric Light Estimation
Authors: Liu Shuai , Li Ying , Li Hang , Wang Bin , Wu Yuanhao , Zhang Zhenduo
Published: October 2023

The precision in evaluating global ambient light profoundly impacts the performance of image-dehazing technologies. Many approaches for quantifying atmospheric light intensity suffer from inaccuracies, leading to a decrease in dehazing effectiveness. To address this challenge, we introduce an approach for estimating atmospheric light based on the polarization contrast between the sky and the scene. By employing this method, we enhance the precision of atmospheric light estimation, enabling the more accurate identification of sky regions within the image. We adapt the original dark channel dehazing algorithm using this innovative technique, resulting in the development of a polarization-based dehazing imaging system employed in practical engineering applications. Experimental results reveal a significant enhancement in the accuracy of atmospheric light estimation within the dark channel dehazing algorithm. Consequently, this method enhances the overall perceptual quality of dehazed images. The proposed approach demonstrates a 28 percent improvement in SSIM and a contrast increase of over 20 percent when compared to the previous method. Additionally, the created dehazing system exhibits real-time processing capabilities.
Multiobjective Optimization of Stereolithography for Dental Bridge Based on a Simple Shape Model Using Taguchi and Response Surface Methods
Authors: Mhmood Tiba Raed , AL-Karkhi Nazar Kais
Published: October 2023

Stereolithography (SLA) has become an essential photocuring 3D printing process for producing parts of complex shapes from photosensitive resin exposed to UV light. The selection of the best printing parameters for good accuracy and surface quality can be further complicated by the geometric complexity of the models. This work introduces multiobjective optimization of SLA printing of 3D dental bridges based on simple CAD objects. The effect of the best combination of a low-cost resin 3D printer’s machine parameter settings, namely normal exposure time, bottom exposure time and bottom layers for less dimensional deviation and surface roughness, was studied. A multiobjective optimization method was utilized, combining the Taguchi method with response surface methodology and the desirability function technique. The predicted optimal values for the cube’s dimensional deviation and surface roughness were 0.0517 mm and 2.8079 µm, respectively. The experiments’ validation of the findings confirmed the results, which were determined to be 0.0560 and 0.064667 mm and 2.770 and 2.6431 µm for the dimensional deviation and surface roughness for the cube and bridge, respectively. The percentages of prediction errors between the predicted optimum results and the printed response were 7.68% and 1.36% for dimensional deviation and surface roughness, respectively. This study demonstrates that the robust method used produced a dental bridge with good accuracy and a smooth surface.
Analysis of Grating Lobe Effects on GEO DSC Distributed Antennas
Authors: Wang Changxu , He Yuanzhi , Qi Chengwu
Published: October 2023

Traditional single-antenna systems have inherent limitations in terms of antenna gain, anti-interference capability, and flexibility. To overcome these challenges, satellite-mounted distributed antenna systems disperse multiple antennas at different positions on the satellite to improve the reception quality and signal-to-noise ratio of satellite signals, enhancing the performance of the satellite communication system without additional bandwidth or transmission power. However, the dispersed locations and long distances between antennas on the satellite result in less compact spacing compared to terrestrial distributed antennas, leading to the generation of a significant number of grating lobes. The distributed satellite cluster (DSC) approach revolutionizes the traditional mode of satellite utilization, enabling close collaboration among distributed loads. In this study, we analyzed the impact of grating lobes produced by DSC distributed antennas in geostationary Earth orbit (GEO) and simulated the grating lobe patterns of two 1 m circular aperture satellite antenna arrays in GEO. The simulation results revealed that the relative position change of the satellites affected the width and number of interference fringes in a certain ground area, while change in the carrier phase led to the translation of the interference fringes. To mitigate the grating lobes, we employed a sparse array technique. The simulation results demonstrated that the sparse array effectively suppressed the grating lobes but at the expense of a decrease in the sidelobe level and beamwidth.
Industrial Emission Monitoring and Assessment of Air Quality in Karachi Coastal City, Pakistan
Authors: Idrees Mohammad , Nergis Yasmin , Irfan Muhammad
Published: October 2023

Industrialization, anthropogenic activities, the exhaust of vehicles and exponential population growth have a significant impact on the outdoor air quality of megacities across the world. Karachi is one of the largest cities in Pakistan, South Asia. The dense population, rapid economic growth and unplanned industrial activities have improved the socioeconomic status but also deteriorated the air quality of Karachi. The severe increase in air pollution has become a threat to the local population in terms of their health issues, quality of life and environment. Therefore, it is essential to quantify and monitor the spatiotemporal variation in outdoor air quality parameters. The current study aims to monitor the air quality in four major industrial zones of Karachi for three years (2020–2022). The field data was collected during the periods of post-monsoon and pre-monsoon using the HAZ-SCANNER (HIM-6000) apparatus, which measured outdoor air pollutants such as carbon monoxide (CO), nitrogen oxides (NO2), sulfur dioxide (SO2) and particulate matter (PM10, PM2.5 and TSPM). The data from 24 stations was analyzed using statistical analysis tools to estimate the parameters and Arc GIS to map the spatial variation of each parameter. The result shows that the concentration of particulate matter (TSPM, PM2.5 and PM10), SO2, NO2 and CO values at sampling sites are moderate in the post-monsoon season as compared to the pre-monsoon season due to cyclical monsoon effects and exceed the environmental quality standards. It was also noted that the North Karachi industrial area is at lower risk due to the small-scale industry. The higher levels of air pollutants have numerous health implications and may cause chronic infections. The air pollutant has a severe impact on plant growth and soil. Therefore, it is important to implement local environmental standards regarding outdoor air pollutants to mitigate the adverse impact on human health and economic activities.
Carbon Emission Model and Emission Reduction Technology in the Asphalt Mixture Mixing Process
Authors: Liu Nieyangzi , Wang Yuanqing , Yang Haitao
Published: October 2023

This paper attempts to develop a calculation model to estimate the carbon dioxide (CO2) emissions during the mixing process of asphalt mixtures and explore energy-saving and emission reduction technologies. Based on a comprehensive analysis of the mixer’s working mechanism, mixing quality requirement, and theoretical deductions, a CO2 emission model for the mixing process of asphalt mixtures is established. The model highlights the significant impact of mixing time on both mixing quality and carbon emissions. The model demonstrates that the mixing quality improves with an increase in mixing time, but the degree of improvement diminishes after an initial significant enhancement, eventually stabilizing. Importantly, excessive mixing time does not significantly improve the mixing quality; conversely, an extended mixing time has a notable impact on carbon emissions. Results show that when the deviation of the asphalt content is changed from 0.3% to 0.2% for a 5% asphalt content mixture, the mixing time and resulting CO2 emissions increase by 14%; similarly, when the deviation is 0.1%, the mixing time and resulting CO2 emissions increase by nearly 40%. Additionally, the agitator’s capacity also significantly influences the CO2 emissions. For a project of a given scale, increasing the agitator capacity leads to a reduction in total carbon emissions during the mixing process. Compared to a type 1500 agitator, employing agitators of types 3000, 4000, and 5000 can achieve reductions in total CO2 emissions by 26.3%, 32.9%, and 36.8%, respectively. Therefore, for large-scale engineering projects aiming to minimize CO2 emissions during the mixing process, it is essential to determine the optimal mixing time to avoid excessive mixing and select a larger capacity agitator, preferably type 4000 or higher. These findings could support the development of effective emission reduction measures in the field of road construction, thereby contributing to the achievement of emission reduction targets and promoting the advancement of sustainable road development.
Indoor Air Purifiers in the Fight against Airborne Pathogens: The Advantage of Circumferential Outflow Diffusers
Authors: Nazarenko Yevgen , Narayanan Chitra , Ariya Parisa A.
Published: October 2023

Airborne particles containing pathogens such as bacteria (e.g., M. tuberculosis) or virions (e.g., influenza or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)) can cause infections. It has been speculated that the outflow from indoor air purifiers with a directional outlet could entrain and spread pathogen-containing aerosol particles. To date, only the case of indoor air purifiers with a directional outflow has been considered, and here we investigate an indoor air purifier with a circumferential outflow diffuser—an alternative design solution that is already commercially available. We measured the airflow velocity at two different angles to the surface of the circumferential outflow diffuser and two blower speeds. We visualized in scattered light the deflection of a vertical mist spray cone from a sneeze-simulating nebulizer parallel to the side of the air purifier. We found a significant difference in airflow velocities for different angles to the circumferential outflow diffuser: 0.01–0.02 m/s for 0° vs. 0.01–0.65 m/s for 45° at 1 m distance. We observed no significant deflection of the sneeze-simulating spray cone at the minimum blower speed and a 5 cm deflection at the maximum speed. The deflection of the sneeze-simulating spray mist particles by the tested indoor air purifier with the circumferential outflow, under the experimental conditions, is low relative to the recommended safer distances between people in indoor spaces. We conclude that indoor air purifiers with circumferential outflow diffusers have a lower potential to spread infectious aerosols in indoor spaces compared to devices with unidirectional outflow.
Diurnal Cycle of Tropospheric Winds over West Sumatra and Its Variability Associated with Various Climate and Weather Modes
Authors: Szkolka Wojciech Ryszard , Baranowski Dariusz Bartłomiej , Flatau Maria K. , Marzuki Marzuki , Shimomai Toyoshi , Hashiguchi Hiroyuki
Published: October 2023

The typical diurnal variability of tropospheric winds over West Sumatra and their changes associated with El Niño Southern Oscillation, Quasi-Biennial Oscillation, Madden–Julian Oscillations and convectively coupled Kelvin waves during the extended boreal winter season are investigated based on nineteen years of observations from Equatorial Atmosphere Radar in Kototabang, Indonesia. Sub-diurnal wind variability is assessed based on the amplitude and phase of the diurnal (24 h) and semidiurnal (12 h) modes.The results show that composite diurnal variability is dominated by cloud-induced circulation and thermal tides. Although these sub-diurnal modes do not change the daily mean wind direction, they modulate velocities throughout the day. Typical diurnal evolution of the vertical wind component is consistent with changes in the latent heating profiles associated with the evolution of a cloud field from cumulus before noon to deep convection in the afternoon and stratiform clouds in the evening. El Niño Southern Oscillation and Quasi-Biennial Oscillation affect the mean tropospheric winds, throughout the troposphere and above 250 hPa, respectively, but do not affect sub-diurnal amplitudes. Eastward propagating Madden–Julian Oscillations and convectively coupled Kelvin waves impact both the mean and sub-diurnal tropospheric wind variability. Both horizontal and vertical winds show the largest variability in the lower and mid troposphere (below 400 hPa). The observed variability in the vertical wind component highlights that large-scale phenomena interact with both the local evolution and progression of a cloud field through dynamical feedback.
Direct Enzyme Engineering of B Family DNA Polymerases for Biotechnological Approaches
Authors: Kuznetsova Aleksandra A. , Kuznetsov Nikita A.
Published: October 2023

DNA-dependent DNA polymerases have been intensively studied for more than 60 years and underlie numerous biotechnological and diagnostic applications. In vitro, DNA polymerases are used for DNA manipulations, including cloning, PCR, site-directed mutagenesis, sequencing, and others. Understanding the mechanisms of action of DNA polymerases is important for the creation of new enzymes possessing improved or modified properties. This review is focused on archaeal family B DNA polymerases. These enzymes have high fidelity and thermal stability and are finding many applications in molecular biological methods. Nevertheless, the search for and construction of new DNA polymerases with altered properties is constantly underway, including enzymes for synthetic biology. This brief review describes advances in the development of family B DNA polymerases for PCR, synthesis of xeno-nucleic acids, and reverse transcription.
Impact of Oral Administration of Lactiplantibacillus plantarum Strain CNCM I−4459 on Obesity Induced by High-Fat Diet in Mice
Authors: Jacouton Elsa , Mondot Stanislas , Langella Philippe , Bermúdez-Humarán Luis G.
Published: October 2023

Recent evidence suggests that some lactobacilli strains, particularly Lactiplantibacillus plantarum, have a beneficial effect on obesity-associated syndromes. Several studies have investigated probiotic challenges in models of high-fat diet (HFD)-induced obesity, specifically with respect to its impact on hepatic and/or adipocyte metabolism, gut inflammation and epithelial barrier integrity, and microbiota composition. However, only a few studies have combined these aspects to generate a global understanding of how probiotics exert their protective effects. Here, we used the probiotic strain L. plantarum CNCM I−4459 and explored its impact on a mouse model of HFD-induced obesity. Briefly, mice were administered 1 × 109 CFUs/day and fed HFD for 12 weeks. Treatment with this strain improved insulin sensitivity by lowering serum levels of fasting glucose and fructosamine. Administration of the probiotic also affected the transport and metabolism of glucose, resulting in the downregulation of the hepatic Glut-4 and G6pase genes. Additionally, L. plantarum CNCM I−4459 promoted a decreased concentration of LDL-c and modulated hepatic lipid metabolism (downregulation of Fasn, Plin, and Cpt1α genes). Probiotic treatment also restored HFD-disrupted intestinal microbial composition by increasing microbial diversity and lowering the ratio of Firmicutes to Bacteroidetes. In conclusion, this probiotic strain represents a potential approach for at least partial restoration of the glucose sensitivity and lipid disruption that is associated with obesity.
The Capacity of Magnesium to Induce Osteoclast Differentiation Is Greatly Enhanced by the Presence of Zoledronate
Authors: Ricchiuto Silvia , Palumbo Rossella , Lami Francesca , Gavioli Francesca , Caselli Lorenzo , Montanari Monica , Zappavigna Vincenzo , Anesi Alexandre , Zanocco-Marani Tommaso , Grande Alexis
Published: October 2023

Bisphosphonates (BPs) are successfully used to cure a number of diseases characterized by a metabolic reduction in bone density, such as Osteoporosis, or a neoplastic destruction of bone tissue, such as multiple myeloma and bone metastases. These drugs exert their therapeutic effect by causing a systemic osteoclast depletion that, in turn, is responsible for reduced bone resorption. Unfortunately, in addition to their beneficial activity, BPs can also determine a frightening side effect known as osteonecrosis of the jaw (ONJ). It is generally believed that the inability of osteoclasts to dispose of inflamed/necrotic bone represents the main physiopathological aspect of ONJ. In principle, a therapeutic strategy able to elicit a local re-activation of osteoclast production could counteract ONJ and promote the healing of its lesions. Using an experimental model of Vitamin D3-dependent osteoclastogenesis, we have previously demonstrated that Magnesium is a powerful inducer of osteoclast differentiation. Here we show that, surprisingly, this effect is greatly enhanced by the presence of Zoledronate, chosen for our study because it is the most effective and dangerous of the BPs. This finding allows us to hypothesize that Magnesium might play an important role in the topical therapy of ONJ.
An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture
Authors: Cembrowska-Lech Danuta , Krzemińska Adrianna , Miller Tymoteusz , Nowakowska Anna , Adamski Cezary , Radaczyńska Martyna , Mikiciuk Grzegorz , Mikiciuk Małgorzata
Published: October 2023

This review discusses the transformative potential of integrating multi-omics data and artificial intelligence (AI) in advancing horticultural research, specifically plant phenotyping. The traditional methods of plant phenotyping, while valuable, are limited in their ability to capture the complexity of plant biology. The advent of (meta-)genomics, (meta-)transcriptomics, proteomics, and metabolomics has provided an opportunity for a more comprehensive analysis. AI and machine learning (ML) techniques can effectively handle the complexity and volume of multi-omics data, providing meaningful interpretations and predictions. Reflecting the multidisciplinary nature of this area of research, in this review, readers will find a collection of state-of-the-art solutions that are key to the integration of multi-omics data and AI for phenotyping experiments in horticulture, including experimental design considerations with several technical and non-technical challenges, which are discussed along with potential solutions. The future prospects of this integration include precision horticulture, predictive breeding, improved disease and stress response management, sustainable crop management, and exploration of plant biodiversity. The integration of multi-omics and AI holds immense promise for revolutionizing horticultural research and applications, heralding a new era in plant phenotyping.
Evaluation of Plasma Concentrations of Galectins-1, 2 and 12 in Psoriasis and Their Clinical Implications
Authors: Nowowiejska Julia , Baran Anna , Hermanowicz Justyna Magdalena , Sieklucka Beata , Pawlak Dariusz , Flisiak Iwona
Published: October 2023

Psoriasis is a complex disease that nowadays is considered not only a dermatosis but a kind of systemic disorder associated with many accompanying diseases. Metabolic complications leading to cardiovascular incidences are the cause of increased mortality in psoriatic patients. Galectins (gal) are beta-galactoside-binding lectins that exert different functions, including engagement in metabolic processes. Our aim was to assess the concentrations of gal-1, 2 and 12 in psoriatics, to establish their potential clinical implications, including in metabolic complications. Plasma galectins were assessed by ELISA in 60 psoriatic patients and 30 controls without dermatoses and a negative family history of psoriasis. Plasma concentrations of all galectins were significantly higher in patients than controls (gal-1 with p < 0.001, gal-2 and 12 with p < 0.05). There were no correlations between galectins concentrations and psoriasis severity in PASI or disease duration (p > 0.05). Gal-1 and 12 were significantly negatively correlated with GFR (p < 0.05, p < 0.01, respectively) and gal-2 with HDL (p < 0.05). Gal-2 was significantly positively correlated with CRP (p < 0.05) and gal-12 with fasting glucose (p < 0.01). Based on the results and given the reported role of galectins in metabolic disorders we may conclude that gal-1, 2 and 12 could be potentially engaged in metabolic complications in psoriatics, most probably in atherosclerosis. Gal-2 could be perhaps further investigated as a marker of metabolically induced inflammation in psoriasis, gal-1 and gal-12 as predictors of renal impairment in psoriatics due to metabolic disorders. Potentially, gal-12 could be considered in the future as a marker of carbohydrate metabolism disorders in psoriatics.
On Fusogenicity of Positively Charged Phased-Separated Lipid Vesicles: Experiments and Computational Simulations
Authors: Wang Yifei , Palzhanov Yerbol , Dang Dang T. , Quaini Annalisa , Olshanskii Maxim , Majd Sheereen
Published: October 2023

This paper studies the fusogenicity of cationic liposomes in relation to their surface distribution of cationic lipids and utilizes membrane phase separation to control this surface distribution. It is found that concentrating the cationic lipids into small surface patches on liposomes, through phase-separation, can enhance liposome’s fusogenicity. Further concentrating these lipids into smaller patches on the surface of liposomes led to an increased level of fusogenicity. These experimental findings are supported by numerical simulations using a mathematical model for phase-separated charged liposomes. Findings of this study may be used for design and development of highly fusogenic liposomes with minimal level of toxicity.
Mental Imagery in Dreams of Congenitally Blind People
Authors: Kang Jungwoo , Bertani Rita , Raheel Kausar , Soteriou Matthew , Rosenzweig Jan , Valentin Antonio , Goadsby Peter J. , Tahmasian Masoud , Moran Rosalyn , Ilic Katarina , Ockelford Adam , Rosenzweig Ivana
Published: October 2023

It is unclear to what extent the absence of vision affects the sensory sensitivity for oneiric construction. Similarly, the presence of visual imagery in the mentation of dreams of congenitally blind people has been largely disputed. We investigate the presence and nature of oneiric visuo-spatial impressions by analysing 180 dreams of seven congenitally blind people identified from the online database DreamBank. A higher presence of auditory, haptic, olfactory, and gustatory sensation in dreams of congenitally blind people was demonstrated, when compared to normally sighted individuals. Nonetheless, oneiric visual imagery in reports of congenitally blind subjects was also noted, in opposition to some previous studies, and raising questions about the possible underlying neuro-mechanisms.
The Neural Correlates of Developmental Prosopagnosia: Twenty-Five Years on
Authors: Manippa Valerio , Palmisano Annalisa , Ventura Martina , Rivolta Davide
Published: October 2023

Faces play a crucial role in social interactions. Developmental prosopagnosia (DP) refers to the lifelong difficulty in recognizing faces despite the absence of obvious signs of brain lesions. In recent decades, the neural substrate of this condition has been extensively investigated. While early neuroimaging studies did not reveal significant functional and structural abnormalities in the brains of individuals with developmental prosopagnosia (DPs), recent evidence identifies abnormalities at multiple levels within DPs’ face-processing networks. The current work aims to provide an overview of the convergent and contrasting findings by examining twenty-five years of neuroimaging literature on the anatomo-functional correlates of DP. We included 55 original papers, including 63 studies that compared the brain structure (MRI) and activity (fMRI, EEG, MEG) of healthy control participants and DPs. Despite variations in methods, procedures, outcomes, sample selection, and study design, this scoping review suggests that morphological, functional, and electrophysiological features characterize DPs’ brains, primarily within the ventral visual stream. Particularly, the functional and anatomical connectivity between the Fusiform Face Area and the other face-sensitive regions seems strongly impaired. The cognitive and clinical implications as well as the limitations of these findings are discussed in light of the available knowledge and challenges in the context of DP.
Healthy and Unhealthy Plant-Based Diets and Glioma in the Chinese Population
Authors: Zhang Weichunbai , Peng Yue , Kang Xun , Wang Ce , Chen Feng , He Yongqi , Li Wenbin
Published: October 2023

Plant-based diets have been suggested to help prevent various chronic diseases, including cancer. However, there are few reports on central nervous system tumors, and data on dose–response relationships are lacking. This individual-matched case–control study included 506 cases and 506 controls. The overall plant-based diet index (PDI), the healthy plant-based diet index (hPDI), and the unhealthy plant-based diet index (uPDI) were calculated using dietary information collected through a food frequency questionnaire, with higher scores indicating better adherence. We analyzed the relationship of plant-based diets with glioma. After adequate adjustment for confounders, PDI was associated with a reduced glioma risk (OR = 0.42, 95% CI: 0.24–0.72). Conversely, uPDI was associated with an elevated glioma risk (OR = 8.04, 95% CI: 4.15–15.60). However, hPDI was not significantly associated with glioma risk (OR = 0.83, 95% CI: 0.48–1.45). For subgroups, PDI was not significant in analyzing young age, BMI, or any pathological subtypes. The restricted cubic spline function showed a significant dose–response relationship between PDI (p-nonlinearity< 0.0001) and uPDI (p-nonlinearity= 0.0711) and glioma. Further analysis found that refined grains had the greatest effect on gliomas in the less healthy plant-based food group. Therefore, following a plant-based diet was linked to a lower risk of glioma, especially when consuming fewer unhealthy plant-based foods.
Detection of Structural Damage in a Shaking Table Test Based on an Auto-Regressive Model with Additive Noise
Authors: Xiao Quanmao , Zhu Daopei , Li Jiazheng , Wu Cai
Published: October 2023

Damage identification plays an important role in enhancing resilience by facilitating precise detection and assessment of structural impairments, thereby strengthening the resilience of critical infrastructure. A current challenge of vibration-based damage detection methods is the difficulty of enhancing the precision of the detection results. This problem can be approached through improving the noise reduction performance of algorithms. A novel method based partially on the errors-in-variables (EIV) model and its total least-squares (LS) algorithm is proposed in this study. Compared with a classical damage detection approach involving adoption of auto-regressive (AR) models and the least-squares (LS) method, the proposed method accounts for all the observation errors as well as the relationships between them, especially in an elevated level of noise, which leads to a better accuracy. Accordingly, a shaking table test and its corresponding finite element simulation of a full-scale web steel structure were conducted. The acceleration time-series output data of the model after suffering from different seismic intensities were used to identify damage using the presented detection method. The response and identification results of the experiment and the finite element analysis are consistent. The finding of this paper indicated that the presented approach is capable of detecting damage with a higher accuracy, especially when the signal noise is high.
Evaluation of the Thermal Performance of Fly Ash Foam Concrete Containing Phase Change Materials (PCMs)
Authors: Bat-Erdene Purev-Erdene , Pareek Sanjay , Koenders Eddie , Mankel Christoph , Löher Max , Xiao Peng
Published: October 2023

The aim of this study was to assess the characteristics of fly ash foam concrete containing two varying temperature ranges of microencapsulated phase change materials (PCMs): PCM28D (26–30 °C) and PCM43D (41–45 °C). In total, five different fly ash foam concrete samples were prepared, and the unit weight of cement was substituted with varying percentages of PCM (0%, 10% and 30%). As a result, differential scanning calorimetry (DSC) analysis revealed that PCM43D-30% exhibited a heat storage capacity of 45.32 °C and 37.89 °C with 42.87 J/g and 41.01 J/g in its liquid and solid phases, respectively. Furthermore, thermocycle analysis indicated that PCM43D-30% maintained the temperature within the stated phase change range for a duration of 7 h. In conclusion, the incorporation of PCMs (28D and 43D) in fly ash foam concrete shows promise in reducing indoor temperature fluctuations, thereby improving energy efficiency. The improved thermal performance can be suitable for various applications such as inner and outside walls of energy-efficient construction designs.
Effects of 3D Concrete Printing Phases on the Mechanical Performance of Printable Strain-Hardening Cementitious Composites
Authors: van Overmeir Anne Linde , Šavija Branko , Bos Freek P. , Schlangen Erik
Published: October 2023

Several studies have shown the potential of strain-hardening cementitious composites (SHCC) as a self-reinforcing printable mortar. However, papers published on the development of three-dimensional printable SHCC (3DP-SHCC) often report a discrepancy between the mechanical properties of the cast and printed specimens. This paper evaluates the effect of each successive phase of the printing process on the mechanical properties of the composite. To this end, materials were collected at three different stages in the printing process, i.e., after each of mixing, pumping, and extruding. The collected 3DP-SHCC materials were then cast in specimen moulds and their mechanical properties after curing were obtained. The resulting findings were juxtaposed with the mechanical properties of the specimens derived from a fully printed 3DP-SHCC element, and our findings indicate that while the density and the compressive strength are not significantly influenced by the printing process, the flexural and tensile strength, along with their associated deflection and strain, are strongly affected. Additionally, this research identifies the pumping phase as the primary phase influencing the mechanical properties during the printing process.
Financialization of Real Estate Assets: A Comprehensive Approach to Investment Portfolios through a Gender-Based Study
Authors: Martínez Raya Antonio , Segura de la Cal Alejandro , Rodríguez Oromendía Ainhoa
Published: October 2023

Financialization is a process within the global economy wherein financial markets have been gaining ground in recent years. And yet, whether it has a beneficial or detrimental impact is almost totally unstudied, notably in terms of market effects on the real estate sector. To probe more deeply into such a research issue, this study addresses how real estate’s financialization impacts asset distribution by analyzing investment attitudes based on verifiable data from the Spanish wealth tax return. Despite scarce previous literature in the field, the study focused on the gender aspect to highlight the importance of investment decisions concerning risk aversion and related issues through the empirical analysis of the investment portfolios of those taxpayers subject to wealth tax statements. The findings identified show that financialization can lead to the conversion of property assets into stock-related movable assets, and from more to less imbalance, respectively, in terms of the gender gap. The results obtained show a significant gendered difference concerning investment stocks, being thus out of alignment with the gender equity traditionally promoted by the Spanish government. This suggests that although most investment portfolios of real estate properties are based strictly on criteria of profitability, female investors need to be empowered because they could provide a better approach to an economic issue wherein aversion to risk can become a proper criterion of private investors, even when there are sudden macroeconomic changes.
Construction Progress Monitoring through the Integration of 4D BIM and SLAM-Based Mapping Devices
Authors: Vassena Giorgio P. M. , Perfetti Luca , Comai Sara , Mastrolembo Ventura Silvia , Ciribini Angelo L. C.
Published: October 2023

In the architecture, engineering and construction industry, site management during construction is a key phase. Scheduling activities and monitoring their progress allow any deviations from the schedule to be identified so that timely action can be taken. Until now, the monitoring phase has mainly been characterised by inspections in which the construction site manager manually collects data and produces a summary report. This proves to be a time-consuming process and is prone to errors. The authors propose an innovative construction progress monitoring method that combines BIM-based construction scheduling (4D BIM) with periodic geometric surveying using an indoor mobile mapping system (iMMS). Ten surveys were carried out on a real case study, producing point clouds to be compared with the 4D BIM, thereby comparing the as-built with the as-planned. The comparison was carried out using Sitemotion exploiting a custom class, the work breakdown structure (WBS), added to the BIM to associate each element with its scheduled construction date. The results show how the proposed method can effectively support the evaluation of construction progress, allowing the monitoring to be performed digitally and linked to the BIM. The paper details the proposed methodology, highlighting the problems encountered and suggesting adjustments for future implementation.
Indoor Environmental Quality and Comfort in Offices: A Review
Authors: Fissore Virginia Isabella , Fasano Silvia , Puglisi Giuseppina Emma , Shtrepi Louena , Astolfi Arianna
Published: October 2023

People spend about 90% of their time in closed spaces such as residential and office environments, and indoor environmental quality (IEQ) has effects on their health, well-being, overall comfort and work productivity. The IEQ domains (i.e., thermal, acoustic, visual and indoor air quality) are able to influence office users’ work day and even cause the onset of diseases. This review aims at investigating IEQ in offices and the multidomain combined effects on occupants’ overall comfort. Studies published between 2016 and 2022 were summarized, focusing on four research questions formulated to deepen the knowledge on (i) IEQ perception and evaluation, (ii) IEQ indexes and parameters, (iii) factors that influence comfort perception and (iv) IEQ and comfort representation in space and time. For these research questions, a total of 29, 19, 10 and 9 studies, found on the Scopus database through a keywords search, were considered, respectively. The studies were included only if they appraised a multidomain approach. The results obtained for each research question reveal that: (i) Post-Occupancy Evaluation (POE) surveys are often applied to understand how occupants perceive IEQ, and in-field monitoring based on low-cost sensors is implemented more and more to acquire IEQ data, (ii) a set of indexes and parameters for IEQ assessment is not standardized yet, although some parameters are commonly used, (iii) personal factors like age and gender, and contextual factors like workstation location and office type, influence occupants’ comfort perception and (iv) dashboards are used to allow office end-users to visualize the indoor conditions of the environment.
Design of a Support Tool to Improve Accessibility in Heritage Buildings—Application in Case Study for Public Use
Authors: Sáez-Pérez Mª Paz , Marín-Nicolás José
Published: October 2023

The existing literature shows the interest in the study of accessibility within heritage architecture, particularly in the context of repurposing these structures to extend their lifespan. Published examples primarily focus on barrier identification or intervention within specific buildings, without the development of methods that facilitate their widespread application for barrier removal. The proposed methodology entails the division of the building into analytical zones, the identification of existing barriers, the proposal of feasible solutions, and the establishment of various action plans based on the building’s priorities. The results reveal a significant percentage of removable architectural barriers within the analysed buildings, all in harmony with the preservation of the heritage. Among the conclusions, it is noteworthy that the method’s applicability extends to heritage and non-heritage buildings of varying uses and typologies, showcasing the substantial accessibility potential within heritage architecture.
Life-Cycle Seismic Reliability Analysis of a Railway Cable-Stayed Bridge Considering Material Corrosion and Degradation
Authors: Zhang Jin , Hu Yunpeng , Liu Xiang , Peng Mengyao
Published: October 2023

To study the life-cycle seismic reliability analysis (SRA) of cable-stayed bridges (CSBs) taking into account chloride-induced corrosion and degradation of components, an actual railway CSB with uncertainties in structural geometry and material corrosion coefficients was employed in this investigation, and time-dependent models of CSB components at different service times were studied. Based on the OpenSees batch program, we adapted a mass numerical computation to obtain time-dependent non-linear seismic response and probability density function (PDF) of response via the multiplier dimensional-reduction method (MDRM) and the maximum entropy method with fractional moments (FM-MEM). Next, the time-dependent failure possibility of every component and the association coefficient between the failure modes of different parts were acquired. In the end, the product of the conditional marginal (PCM) approach was employed to obtain the life-cycle failure possibility of the CSB system. The results showed that the system failure possibility of the CSB in a corrosive environment increases significantly with increasing servicing time.
Multi-Response Optimization on Hydrated Calcium Aluminate Rich Ternary Binders Using Taguchi Design of Experiments and Principal Component Analysis
Authors: Myftarago Anxhelina , Bier Thomas A. , Qoku Elsa , Aliti Ramadan , Zogaj Milazim
Published: October 2023

This study investigates the influence of various factors on the performance of ternary binders, utilizing statistical approaches. The research focuses on the influence of varying compositions of Portland Cement-Calcium Aluminate Cement-Calcium Sulphate (PC-CAC-CŜ), types and amounts of mineral powders, and chemical admixtures in ternary binders. Using the Taguchi design, the study required a limited number of experimental trials, utilizing a standard orthogonal array of seven factors across three levels. These factors encompassed binder composition (C1-C2-C3), mineral powder types (limestone, quartz, slag), replacement ratio (0%, 25%, 50%), retarder (0%, 0.1%, 0.2%), superplasticizer, viscosity modifying agent (stabilizer) and accelerator (0%, 0.05%, 0.1%). Measurements on hydration kinetics, dimensional stability, compressive strength, and microstructural analyses like X-ray diffraction were conducted. Principal Component Analysis (PCA) was employed to interpret the continuous data derived from heat of hydration curves, length change curves and X-ray diffraction (XRD) patterns. Results indicated that retarder quantity and binder type significantly impacted paste workability. Higher powder content led to reduced strength, whereas increased accelerator improved strength. A strong correlation was observed between accelerator content and the dimensional stability. The primary hydration product’s formation was predominantly influenced by the PC-CAC-CŜ ratio, accelerator, and cement substitutions.
Designing Sustainable Housing Using a User-Centred Approach: Paipe Case Study
Authors: Abbakyari Maryam , Abuzeinab Amal , Adefila Arinola , Whitehead Timothy , Oyinlola Muyiwa
Published: October 2023

This paper presents a user-centred design method for developing prototype housing designs in the Paipe community of Abuja, Nigeria, addressing the challenges posed by rapid urbanisation in low- and middle-income countries (LMICs). UCD is a qualitative methodology that prioritises end users in the design process. This study employs qualitative methods to collect data through interviews, field surveys, and site analysis using a single case study. The UCD approach was used to develop a profile of residents and identify their needs and preferences. Thematic analysis of the data led to the creation of design specifications and prototype designs. Two design options were developed: a cluster design based on field survey observations and an enclosed modern design based on residents’ preferences. This study contends that user-centred design (UCD) is essential for sustainable housing provision in LMICs, aligning with the United Nations’ adequate-housing programme.