bluuebunny/crossref_metadata_2025 huggingface dataset:
Harnessing the Gut Microbiome: To What Extent Can Pre-/Probiotics Alleviate Immune Activation in Autism Spectrum Disorder?
Authors: Wu Yuqi , Su Qi
Published: July 2024

Children diagnosed with autism spectrum disorder (ASD) are at an increased risk of experiencing gastrointestinal (GI) discomfort, which has been linked to dysfunctions in the microbiome–gut–brain axis. The bidirectional communication between gut and brain plays a crucial role in the overall health of individuals, and alterations in the gut microbiome can contribute to immune activation and gut–brain dysfunction in ASD. Despite the limited and controversial results of pre-/probiotic applications in ASD, this review comprehensively maps the association between ASD clinical symptoms and specific bacterial taxa and evaluates the efficacy of pre-/probiotics in modulating microbiota composition, reducing inflammatory biomarkers, alleviating difficulties in GI distress, sleep problems, core and other ASD-associated symptoms, as well as relieving parental concerns, separately, in individuals with ASD. Beyond simply targeting core ASD symptoms, this review highlights the potential of pre-/probiotic supplementations as a strategy to modulate gut homeostasis and immune response, and to delineate the potential mechanisms by which its direct or mediating effects can alleviate gut–brain dysfunction and poor nutritional status in ASD management. Further well-designed randomized controlled trials are needed to strengthen the existing evidence and establish optimal protocols for the use of pre-/probiotics in the context of ASD.
Extracellular Vesicles Modulate Liver Cells Viability and Reactive Oxygen Species in Patients Following a Very Low-Calorie Ketogenic Diet
Authors: Balestra Francesco , Negro Roberto , De Luca Maria , Depalo Nicoletta , Rizzi Federica , Panzetta Giorgia , Arrè Valentina , Mastrogiacomo Rita , Coletta Sergio , Stabile Dolores , Pesole Pasqua Letizia , Cerabino Nicole , Di Chito Martina , Shahini Endrit , Giannelli Gianluigi , De Pergola Giovanni , Scavo Maria Principia
Published: July 2024

The VLCKD is a diet recognized to promote rapid fat mobilization and reduce inflammation, hepatic steatosis, and liver fibrosis. Extracellular vesicles (EVs) mediate cell-to-cell communication. The aim of the study is to investigate the role of circulating EVs in cell proliferation, ketone bodies, and ROS production in patients on an 8-week VLCKD regimen. Participants were classified as responders (R) or non-responders (NR) to VLCKD treatment based on their fibroscan results. In vitro experiments with the hepatic cell lines HEPA-RG (normal hepatocytes) and LX-2 (stellate cells) were conducted to investigate the effects of circulating EVs on cell viability, ROS production, and ketone body presence. The findings reveal a notable reduction in cell viability in both cell lines when treated with exosomes (EXOs). In contrast, treatment with microvesicles (MVs) did not appear to affect cell viability, which remained unchanged. Additionally, the levels of ketone bodies measured in urine were not consistently correlated with the reduction of fibrosis in responders (R). Similarly, an increase in ketone bodies was observed in non-responders (NR), which was also not aligned with the expected reduction in fibrosis. This inconsistency stands in stark contrast to the levels of Reactive Oxygen Species (ROS), which exhibited a clear and consistent pattern in accordance with the dietary intervention. Finally, in this preliminary study, ROS has been identified as a potential diet adherence marker for VLCKD patients; the ROS levels reliably follow the progression of the fibrosis response, providing a more accurate reflection of the therapeutic effects.
A Novel Strategy for Glioblastoma Treatment by Natural Bioactive Molecules Showed a Highly Effective Anti-Cancer Potential
Authors: Giammona Alessandro , Commisso Mauro , Bonanomi Marcella , Remedia Sofia , Avesani Linda , Porro Danilo , Gaglio Daniela , Bertoli Gloria , Lo Dico Alessia
Published: July 2024

Glioblastoma (GBM) is a severe form of brain tumor that has a high fatality rate. It grows aggressively and most of the time results in resistance to traditional treatments like chemo- and radiotherapy and surgery. Biodiversity, beyond representing a big resource for human well-being, provides several natural compounds that have shown great potential as anticancer drugs. Many of them are being extensively researched and significantly slow GBM progression by reducing the proliferation rate, migration, and inflammation and also by modulating oxidative stress. Here, the use of some natural compounds, such as Allium lusitanicum, Succisa pratensis, and Dianthus superbus, was explored to tackle GBM; they showed their impact on cell number reduction, which was partially given by cell cycle quiescence. Furthermore, a reduced cell migration ability was reported, accomplished by morphological cytoskeleton changes, which even highlighted a mesenchymal–epithelial transition. Furthermore, metabolic studies showed an induced cell oxidative stress modulation and a massive metabolic rearrangement. Therefore, a new therapeutic option was suggested to overcome the limitations of conventional treatments and thereby improve patient outcomes.
Cosmetic Preservative Potential and Chemical Composition of Lafoensia replicata Pohl. Leaves
Authors: Lima Débora Machado de , Santos Anna Lívia Oliveira , Melo Matheus Reis Santos de , Tavares Denise Crispim , Martins Carlos Henrique Gomes , Sousa Raquel Maria Ferreira
Published: July 2024

The study evaluated the preservative potential of Lafoensia replicata Pohl. leaf extracts in cosmetics, highlighting their antioxidant, antimicrobial, and in vitro cytotoxic activities for ethanolic extract prepared by the maceration and tincture method. Total phenol content showed a higher phenol concentration in ethanolic extract and tinctures, and by LC-MS/MS-ESI-QTOF analysis, flavonoids, hydrolyzed tannins, and phenolic acids were identified. The ethanolic extract and tincture showed high antimicrobial activity against Staphylococcus aureus, Pseudomonas aeruginosa, and Candida albicans (MIC < 50 µg mL−1), high antioxidant activity (EC50 < 50 µg mL−1 in the DPPH method, and results > 450 µmol trolox equivalent in the ABTS and FRAP method), and low cytotoxicity in human keratinocytes (IC50 > 350 µg mL−1). The results suggest these extracts could be an alternative to synthetic preservatives in the cosmetic industry.
Bite Me: Bark Stripping Showed Negligible Effect on Volume Growth of Norway Spruce in Latvia
Authors: Liepiņa Agnese Anta , Ieviņa Sabīne , Bāders Endijs , Done Gundega , Matisons Roberts , Jaunslaviete Ieva , Bērziņa Beate , Jansons Āris
Published: July 2024

Over the past few decades, increasing populations of cervid species in the Baltic region have reduced the quality and vitality of cultivated Norway spruce (Picea abies (L.) Karst.) stands. This study evaluated the effect of bark stripping on the volume growth of spruce trees in Latvia. Data collection took place in two forest stands. In each stand, 20 Norway spruce trees were sampled, 10 with visible bark damage scars and 10 control trees. Stem discs were collected from control trees at specified heights (0 m, 0.5 m, 1 m, 1.3 m, and 2 m, and then at one-metre intervals up to the top) and from damaged trees at additional specific points relative to the damage. Each disc was sanded and scanned; tree ring widths were measured in 16 radial directions using WinDendro 2012a software. Annual volume growth reconstruction was performed for each tree. Changes in relative volume growth were analysed in interaction with scar parameters, tree type (damaged/control), and pre-damage volume using linear regression models. The significance of parameter interactions was assessed using analysis of variance (ANOVA). Pairwise comparisons of estimated marginal means (EMMs) were conducted using Tukey’s HSD post hoc test. No significant effect of bark stripping on the total stem volume increment was detected. However, the length of bark stripping scars had a significant impact on relative volume growth in the lower parts of the stems. These findings underscore the importance of further research examining a broader spectrum of cervid damage intensity and the effects of repeated damage on tree survival and growth.
Treatment of Oily Effluents Using a Bacterial Cellulose Membrane as the Filter Bed
Authors: Medeiros Alexandre D’Lamare Maia de , Silva Junior Cláudio José Galdino da , Durval Italo José Batista , Souza Thais Cavalcante de , Cavalcanti Yasmim de Farias , Costa Andréa Fernanda de Santana , Sarubbo Leonie Asfora
Published: July 2024

One of the main challenges in the treatment of industrial wastewater is the removal of oil-in-water emulsions, which are stable and therefore difficult to treat. Bacterial cellulose (BC) has structural characteristics that make it an ideal filtration membrane. Several research projects are underway to develop new materials, both biotechnological and traditional, for use in filter beds. The study examined the potential of a BC membrane filtration system for treating oily industrial wastewaters, an underexplored biomaterial in wastewater treatment. The results demonstrated that BC is highly effective at removing oily contaminants (~99%), reducing the colour and particulate matter of wastewater, as well as eliminating nearly the entire microbiological load (~99%). SEM, MEV, FTIR, XRD, and TGA confirmed the presence of oil in the interior of the membrane after filtration, characteristic peaks of its chemical composition, and a 40% reduction in crystallinity. TGA revealed an increase from three (pre-filtration) to five (post-filtration) stages of thermal degradation, indicating the retention of the contaminant in the BC. The mechanical tests demonstrated that the membrane has a tensile strength of 72.13 ± 8.22 MPa and tolerated elongation of up to 21.11 ± 4.81% prior to tearing. The BC membrane also exhibited excellent flexibility, as it could be folded >100 times at the same point without exhibiting signs of tearing. The BC surpasses traditional methods, such as activated charcoal and effluent treatment stations, in the removal of emulsified oils. The findings demonstrate that BC is promising for the treatment of industrial wastewaters, which is a field that requires continual technological innovations to mitigate the environmental impacts of the oil industry.
Development and Synthesis of Linguistic Models for Catalytic Cracking Unit in a Fuzzy Environment
Authors: Orazbayev Batyr , Boranbayeva Narkez , Makhatova Valentina , Rzayeva Leila , Ospanov Yerbol , Kurmashev Ildar , Kurmangaziyeva Lyailya
Published: July 2024

This research develops a method for synthesizing linguistic models of fuzzy systems with fuzzy input and output parameters that are described by linguistic variables. Based on the proposed method, linguistic models of the Title 1000 catalytic cracking unit for heavy residues at the Shymkent oil refinery are developed, describing the dependence of the volume and quality of gasoline on the input and operating parameters of the facility, which are fuzzy. It is substantiated that the use of a fuzzy approach, which allows the use of the experience, knowledge, and intuition (intelligence) of the decision maker and subject matter experts, is the most suitable effective method for synthesizing models of complex, fuzzily described objects and processes for comparison with other methods. The main idea of the proposed work is to solve the problems of shortage and fuzziness of initial information when developing models and optimizing the operating modes of a catalytic cracking unit through the use of knowledge, experience, and intuition of experts in this field. To solve the problems of the shortage of initial quantitative information and the fuzziness of available information when developing mathematical models, it is proposed to systematically use statistical methods, expert assessment methods, and a heuristic method based on fuzzy logic. The scientific novelty of the research lies in the development of a method for synthesizing linguistic models in a fuzzy environment and an algorithm for its implementation, which makes it possible to describe the dependence of the fuzzy values of the object’s output parameters on its fuzzy input and operating parameters. The proposed approach allows the formalization and synthesis of models of fuzzily described objects when other methods of model development are not applicable or do not give the expected results. The results of the work were simulated in the MATLAB Fuzzy Logic Toolbox.
Neo-Colonialism and the Emancipation of Indigenous Religions of Africa: Reconnoitring Reformist Possibilities
Authors: Mokhoathi Joel
Published: July 2024

Africa is considered to be the second largest continent of the world—only subsequent to Asia. However, its intellectual and cultural contributions to the world remain among the least influential, if not the most undermined, particularly when one considers the written records about the continent and its people as sources and generators of knowledge. Much of what is known of Africa is anchored in the perceptions and attitudes of missionaries, merchants, and historians who occupied the continent due to foreign religious persuasions, commerce, or some biographical accounts of the continent and its people that aided and advanced the undertakings of colonisers in subduing the Africans. In such a context, the African narrative was told from an otherly view, with the main objects of reconnoitring being treated as spectators. For this reason, the essence of the indigenous religions of Africa was destabilised. Using document analysis as a methodological approach, this study critically reflects on neo-colonialism as a system that thwarted the development of indigenous religions of Africa; shows how such a system eroded indigenous religions, such as the San, Ibibio, and Basotho religions; and offers a reformist approach in which the emancipation of indigenous religions of Africa may be based.
A New Theistic Argument Based on Creativity
Authors: Chan Man Ho
Published: July 2024

It has been argued for a long time that God has been involved in the biological evolutionary processes observed on Earth. However, no convincing theistic argument has yet been formulated for biological evolution. In this article, I use the concept of creativity to argue that biological evolution manifests an embedded intelligence. This articulates a new form of theistic argument related to biological evolution and offers another sound argument supporting the existence of God. My reasoning suggests that nature might be panentheistic, or that an external personal God manipulates natural laws to direct the process of evolution.
Medieval Arles through the Lives of Its Founding Bishop
Authors: Herrick Samantha Kahn
Published: July 2024

Texts recounting the careers of saints were foundational to Christian worship and historical construction in medieval Europe. They were also fluid, living works that evolved over time as individual saints’ stories were revised, adapted, and retold. These texts changed in response to changing contexts in which they were used and understood. This article undertakes a case study to see how the evolution of one urban saint’s legend reflects the history of that saint’s city. Specifically, it analyzes the numerous Latin and vernacular texts produced between the mid-fifth and late twelfth centuries that recount the deeds of Saint Trophimus, first bishop of Arles. It argues that shifts in the saint’s story reflect broad changes in the political, religious, and social life of Arles. It also demonstrates that the number of parties recounting the legend multiplied over time, and that dissonances within the story arose as these groups adapted the tale to their own interests.
Introduction to the Special Issue: Exploring the Complexity of Identities and Boundaries in the New Testament and Related Literature
Authors: Williams H. H. Drake , Kok Jacobus (Kobus)
Published: July 2024

The purpose of this essay is to situate this volume within the context of a specific academic research context in the field of Biblical studies, specifically New Testament studies and related literature [...]
Vernacular Catholicism in Ireland: The Keening Woman
Authors: Williams Sean , Ó Laoire Lillis
Published: July 2024

The relationship between popular vernacular Catholicism and the more official liturgical variety has varied over centuries. Following the subjugation of Ireland by the late 17th century, and the institution of anti-Catholic proscriptions, the number of priests available became more restricted. Religious observation subsequently centered on holy days and local sacred sites including healing wells, many of them dedicated to saints. Always central figures in death rituals, women who mourned the dead—“keening women”—were so called because they lamented the dead through a combination of voice and song. We will show how the songs relate to a deep liminal spirituality that existed semi-independently of official Church norms, and how the voice served to establish their position. In the Catholic revival of the late nineteenth century, such forms were ousted by European modes of worship, but persisted at the margins, allowing us insight into their previous vigor.
Divine Obligations as Theodicy in Leibniz’s Jurisprudence and Metaphysical Theology
Authors: Horn Charles Joshua
Published: July 2024

Leibniz’s jurisprudence and theory of natural law, which began development as early as the 1660s, has implications for his mature theodicy. In this essay, it is shown that based on an analysis of a few key jurisprudential texts, the Nova Methodus (1666), the Elementa Juris Naturalis (1670–1671), and the Codex Juris Gentium Diplomaticus (1693), Leibniz developed the legal term ‘obligatio’ from Roman Law and the Spanish Jesuit traditions, but that his usage shifted at different stages of his life. Nevertheless, these views are compatible and provide a grounding for his philosophical optimism. It is further shown that Leibniz took the concept of obligatio to provide something like legal standing (locus standi or klagebefugnis) so that rational minds can undergo the theodicean project, that is, because God has obligations to substances, they can seek an explanation for their suffering from God. And because human reason is analogous to divine reason, according to Leibniz, God provides the explanation that the actual world is the best possible world. The goal, then, is to prove that we should take Leibniz’s insights into jurisprudence more seriously, at least in part, because they help to explain his philosophical optimism.
Mechanical Performance of Bentonite Plugs in Abandonment Operations of Petroleum Wells
Authors: Oliveira Laura Rafaela Cavalcanti de , Lima Mário César de Siqueira , Costa Waleska Rodrigues Pontes da , Gonçalves Ruth Luna do Nascimento , Costa Anna Carolina Amorim , Nóbrega Karine Castro , Souza Elessandre Alves de , Amorim Luciana Viana
Published: July 2024

This study aims to evaluate how the operational procedure adopted for pellet placement and the exposure to subsurface conditions influence the mechanical integrity of bentonite plugs used as barrier elements in the abandonment of petroleum wells. To this end, the plugs were formed by hydrating the pellets directly in water, simulating the onshore procedure, while the offshore plugs were obtained from pellets hydrated in deionized water after immersion in diesel or olefin, which are suggested as displacement fluids. The plugs obtained were tested by compression and adhesion tests. These mechanical tests were also carried out for specimens obtained from plugs exposed to four formulations of synthetic formation waters. The results obtained demonstrated that, in the offshore procedure, the previous contact with olefin may adversely affects the mechanical stability of bentonite plugs, while plugs formed from pellets immersed in diesel presented satisfactory mechanical properties. However, the contact with formation water evidenced that the onshore plug presents superior resistance than the offshore plug previously immersed in diesel. The highly successful performance of the onshore plug was attested by the maintenance of the compressive strength, which exhibited a maximum reduction of 13%, even after exposure to the most saline formation waters.
Assessing Golden Tides from Space: Meteorological Drivers in the Accumulation of the Invasive Algae Rugulopteryx okamurae on Coasts
Authors: Haro Sara , Morrison Liam , Caballero Isabel , Figueroa Félix L. , Korbee Nathalie , Navarro Gabriel , Bermejo Ricardo
Published: July 2024

Massive accumulations of invasive brown algae Rugulopteryx okamurae are exacerbating environmental and socio-economic issues on the Mediterranean and potentially Atlantic coasts. These golden tides, likely intensified by global change processes such as changes in wind direction and intensity and rising temperatures, pose increasing challenges to coastal management. This study employs the Normalized Difference Vegetation Index (NDVI), with values above 0.08 from Level-2 Sentinel-2 imagery, to effectively monitor these strandings along the coastline of Los Lances beach (Tarifa, Spain) in the Strait of Gibraltar Natural Park from 2018 to 2022. Los Lances beach is one of the most affected by the R. okamurae bioinvasion in Spain. The analysis reveals that wind direction determines the spatial distribution of biomass accumulated on the shore. The highest average NDVI values in the western patch were observed with south-easterly winds, while in the eastern patch, higher average NDVI values were recorded with south-westerly, westerly and north-westerly winds. The maximum coverage correlates with elevated temperatures and minimal rainfall, peaking between July and October. Leveraging these insights, we propose a replicable methodology for the early detection and strategic pre-shore collection of biomass, which could facilitate efficient coastal cleanup strategies and enhance biomass utility for biotechnological applications. This approach promises cost-effective adaptability across different geographic areas impacted by golden tides.
A New Perspective on the Scattering Mechanism of S-Band Weather Radar Clear-Air Echoes Based on Communication Models
Authors: Teng Yupeng , Li Tianyan , Chen Hongbin , Ma Shuqing , Wu Lei , Xia Yunjie , Li Siteng
Published: July 2024

Clear-air echo studies are usually based on isotropic turbulence theory. But the theory has been considered incomplete by modern turbulence theory. The intermittence of turbulence can reveal obvious shortcomings in the existing studies of clear-air echoes. The mechanism of clear-air echo scattering needs to be supplemented. This paper introduces the troposcatter theory, normally used in over-the-horizon communication, to fill the gap left by Bragg scattering. By treating radar as a self-transmitted and self-received device, the equivalent transmission loss of weather radar is established and compared with the recommendations of the Radiocommunication Sector of the International Telecommunication Union (ITU-R). The results show that the S-band radar transmission loss aligns with ITU-R recommendations. There is also a linear regression relationship between the radar transmission loss and height, which conforms to the troposcatter theory. This means that the theory of troposcatter scattering is a supplement to the theory of Bragg scattering. Tropospheric scattering can be thought of as general Bragg scattering. Meanwhile, based on ITU-R recommendations, this study also provides a new way for the recognition of biological echoes.
A Method for Reducing Training Time of ML-Based Cascade Scheme for Large-Volume Data Analysis
Authors: Izonin Ivan , Muzyka Roman , Tkachenko Roman , Dronyuk Ivanna , Yemets Kyrylo , Mitoulis Stergios-Aristoteles
Published: July 2024

We live in the era of large data analysis, where processing vast datasets has become essential for uncovering valuable insights across various domains of our lives. Machine learning (ML) algorithms offer powerful tools for processing and analyzing this abundance of information. However, the considerable time and computational resources needed for training ML models pose significant challenges, especially within cascade schemes, due to the iterative nature of training algorithms, the complexity of feature extraction and transformation processes, and the large sizes of the datasets involved. This paper proposes a modification to the existing ML-based cascade scheme for analyzing large biomedical datasets by incorporating principal component analysis (PCA) at each level of the cascade. We selected the number of principal components to replace the initial inputs so that it ensured 95% variance retention. Furthermore, we enhanced the training and application algorithms and demonstrated the effectiveness of the modified cascade scheme through comparative analysis, which showcased a significant reduction in training time while improving the generalization properties of the method and the accuracy of the large data analysis. The improved enhanced generalization properties of the scheme stemmed from the reduction in nonsignificant independent attributes in the dataset, which further enhanced its performance in intelligent large data analysis.
Strategy and Metrological Support for Indoor Radon Measurements Using Popular Low-Cost Active Monitors with High and Low Sensitivity
Authors: Tsapalov Andrey , Kovler Konstantin , Bossew Peter
Published: July 2024

Traditionally, for indoor radon testing, predominantly passive measurements have been used, typically applying the solid-state alpha track-etch method for long-term and the charcoal method for short-term measurements. However, increasingly, affordable consumer-grade active monitors have become available in the last few years, which can generate a concentration time series of an almost arbitrary duration. Firstly, we argue that consumer-grade monitors can well be used for quality-assured indoor radon assessment and consequent reliable decisions. Secondly, we discuss the requirements of quality assurance, which actually allow for reliable decision-making. In particular, as part of a rational strategy, we discuss how to interpret measurement results from low-cost active monitors with high and low sensitivity with respect to deciding on conformity with reference levels that are the annual average concentration of indoor radon. Rigorous analysis shows that temporal variations in radon are a major component of the uncertainty in decision-making, the reliability of which is practically independent of monitor sensitivity. Manufacturers of low-cost radon monitors already provide sufficient reliability and quality of calibration for their devices, which can be used by both professional inspectors and the general public. Therefore, within the suggested measurement strategy and metrologically assured criteria, we only propose to clarify the set and values of the key metrological characteristics of radon monitors as well as to upgrade user-friendly online tools. By implementing clear metrological requirements as well as the rational measurement strategy for the reliable conformity assessment of a room (building) with radon safety requirements, we anticipate significant reductions in testing costs, increased accessibility, and enhanced quality assurance and control (QA/QC) in indoor radon measurements.
Calibrating Low-Cost Smart Insole Sensors with Recurrent Neural Networks for Accurate Prediction of Center of Pressure
Authors: Choi Ho Seon , Yoon Seokjin , Kim Jangkyum , Seo Hyeonseok , Choi Jun Kyun
Published: July 2024

This paper proposes a scheme for predicting ground reaction force (GRF) and center of pressure (CoP) using low-cost FSR sensors. GRF and CoP data are commonly collected from smart insoles to analyze the wearer’s gait and diagnose balance issues. This approach can be utilized to improve a user’s rehabilitation process and enable customized treatment plans for patients with specific diseases, making it a useful technology in many fields. However, the conventional measuring equipment for directly monitoring GRF and CoP values, such as F-Scan, is expensive, posing a challenge to commercialization in the industry. To solve this problem, this paper proposes a technology to predict relevant indicators using only low-cost Force Sensing Resistor (FSR) sensors instead of expensive equipment. In this study, data were collected from subjects simultaneously wearing a low-cost FSR Sensor and an F-Scan device, and the relationship between the collected data sets was analyzed using supervised learning techniques. Using the proposed technique, an artificial neural network was constructed that can derive a predicted value close to the actual F-Scan values using only the data from the FSR Sensor. In this process, GRF and CoP were calculated using six virtual forces instead of the pressure value of the entire sole. It was verified through various simulations that it is possible to achieve an improved prediction accuracy of more than 30% when using the proposed technique compared to conventional prediction techniques.
A Review of Patient Bed Sensors for Monitoring of Vital Signs
Authors: Recmanik Michaela , Martinek Radek , Nedoma Jan , Jaros Rene , Pelc Mariusz , Hajovsky Radovan , Velicka Jan , Pies Martin , Sevcakova Marta , Kawala-Sterniuk Aleksandra
Published: July 2024

The analysis of biomedical signals is a very challenging task. This review paper is focused on the presentation of various methods where biomedical data, in particular vital signs, could be monitored using sensors mounted to beds. The presented methods to monitor vital signs include those combined with optical fibers, camera systems, pressure sensors, or other sensors, which may provide more efficient patient bed monitoring results. This work also covers the aspects of interference occurrence in the above-mentioned signals and sleep quality monitoring, which play a very important role in the analysis of biomedical signals and the choice of appropriate signal-processing methods. The provided information will help various researchers to understand the importance of vital sign monitoring and will be a thorough and up-to-date summary of these methods. It will also be a foundation for further enhancement of these methods.
High-Resolution Ultrasound Platform for Infant Meningitis Detection: An In Vitro Demonstration
Authors: Navarrete Manuel , Castells-Rufas David , Kichou Hassane Baghdad , Navarro-Patron Guillermo , Jimenez Javier , Carrabina Jordi
Published: July 2024

Infant meningitis remains a severe burden on global health, particularly for young infants. Traditional ultrasound imaging techniques are limited in spatial resolution to visualize white blood cells (WBCs) in the cerebrospinal fluid (CSF), which is considered a well-established marker for meningitis detection. This work presents a novel platform that uses high-resolution ultrasound to detect the backscatter signals from microscopic CSF WBCs through the anterior fontanelle of neonates and young infants. The whole system was built around a custom probe that allows for a 20 MHz focused transducer to be mechanically controlled to map the area of interest in the CSF. Data processing can be performed internally in the device without the need to extract the images for further analysis. The in vitro feasibility of the proposed solution was evaluated in imaging 7 μm particle suspensions at different concentrations relevant to meningitis diagnosis ranging from 7- to 646-particles (pp)/μL. The experimental tests were conducted from a simple setup using a sample container to a more realistic setup based on an anatomical phantom of the neonatal head. The results show high-quality images, where 7 μm particles can be resolved for the different concentrations.
Smartphone IMU Sensors for Human Identification through Hip Joint Angle Analysis
Authors: Andersson Rabé , Bermejo-García Javier , Agujetas Rafael , Cronhjort Mikael , Chilo José
Published: July 2024

Gait monitoring using hip joint angles offers a promising approach for person identification, leveraging the capabilities of smartphone inertial measurement units (IMUs). This study investigates the use of smartphone IMUs to extract hip joint angles for distinguishing individuals based on their gait patterns. The data were collected from 10 healthy subjects (8 males, 2 females) walking on a treadmill at 4 km/h for 10 min. A sensor fusion technique that combined accelerometer, gyroscope, and magnetometer data was used to derive meaningful hip joint angles. We employed various machine learning algorithms within the WEKA environment to classify subjects based on their hip joint pattern and achieved a classification accuracy of 88.9%. Our findings demonstrate the feasibility of using hip joint angles for person identification, providing a baseline for future research in gait analysis for biometric applications. This work underscores the potential of smartphone-based gait analysis in personal identification systems.
Prediction of Surface Subsidence in Mining Areas Based on Ascending-Descending Orbits Small Baseline Subset InSAR and Neural Network Optimization Models
Authors: Chang Kangtai , Zhao Zhifang , Zhou Dingyi , Tian Zhuyu , Wang Chang
Published: July 2024

Surface subsidence hazards in mining areas are common geological disasters involving issues such as vegetation degradation and ground collapse during the mining process, which also raise safety concerns. To address the accuracy issues of traditional prediction models and study methods for predicting subsidence in open-pit mining areas, this study first employed 91 scenes of Sentinel-1A ascending and descending orbits images to monitor long-term deformations of a phosphate mine in Anning City, Yunnan Province, southwestern China. It obtained annual average subsidence rates and cumulative surface deformation values for the study area. Subsequently, a two-dimensional deformation decomposition was conducted using a time-series registration interpolation method to determine the distribution of vertical and east–west deformations. Finally, three prediction models were employed: Back Propagation Neural Network (BPNN), BPNN optimized by Genetic Algorithm (GA-BP), and BPNN optimized by Artificial Bee Colony Algorithm (ABC-BP). These models were used to forecast six selected time series points. The results indicate that the BPNN model had Mean Absolute Errors (MAE) and Root Mean Squared Errors (RMSE) within 7.6 mm, while the GA-BP model errors were within 3.5 mm, and the ABC-BP model errors were within 3.7 mm. Both optimized models demonstrated significantly improved accuracy and good predictive capabilities.
Ultrasonic Non-Destructive Testing and Evaluation of Stainless-Steel Resistance Spot Welding Based on Spiral C-Scan Technique
Authors: Yang Liang , Chuai Rongyan , Cai Guixi , Xue Dan , Li Jingming , Liu Kunlin , Liu Chang
Published: July 2024

In order to achieve the non-destructive testing and quality evaluation of stainless-steel resistance spot welding (RSW) joints, a portable ultrasonic spiral C-scan testing instrument was developed based on the principle of ultrasonic pulse reflection. A mathematical model for the quality evaluation of RSW joints was established, and the centroid of the ultrasonic C-scan image in the nugget zone of the RSW was determined based on the principle of static moment. The longest and shortest axes passing through the centroid in the image were extracted, and the ratio of the longest axis to the shortest axis (RLS) factor and the average of axis (AOA) factor were calculated, respectively, to evaluate the quality of the joint. To study the effectiveness of the detection results, tensile tests, and stereo analysis were conducted on the solder joints after sampling. The results indicate that this detection method can realize online detection and significantly improve the detection efficiency; the detection value of internal defect size is close to the true value with an error of 0.1 mm; the combination of RLS and AOA factors can be used to evaluate the mechanical properties of RSW joints. This technology can be used to solve the NDT, evaluate problems of RSW joints, and realize engineering applications.
Recent Trends and Advances in Telecommunications and Sensing
Authors: Leitgeb Erich , Matijašević Maja , Gappmair Wilfried , Kušek Mario
Published: July 2024

In the context of the 17th International Conference on Telecommunications (ConTEL), which took place at Graz University of Technology, Austria, from the 11th until the 13th of July 2023, the chairs of the conference were approached by MDPI to organize a Special Issue as part of the Sensors journal (ISSN: 1424-8220) [...]
The Contested Terrain of Sporting Consumption: Navigating Meaning, Identity, and Late Capitalist Marketing through Sneaker Customization
Authors: Wallace Brandon T. , Andrews David L.
Published: July 2024

This discussion critically examines and questions assumptions about the meanings and motivations of sporting consumption. We argue that the practice of sneaker customization demonstrates the contested terrain of sporting consumption, wherein contemporary consumerism is characterized by a dynamic interplay between top–down structural determination (by mass commercial forces) and bottom–up creative agency (by everyday consumers). Based on in-depth interviews with 15 sneaker consumers, we narrate the complexities of late capitalist consumer culture through three overlapping “tensions” between the commercial sneaker industry and everyday sneaker consumers: (1) Sneakers as a vehicle to express individuality versus to demonstrate conformity; (2) Sneaker customization as a means of artistic expression versus being a commodity rationalized to maximize profit; (3) An affective versus instrumental attachment to sneakers. Overall, the analysis illuminates how the cultural and affective meanings that consumers attach to sneaker consumption operate; sometimes in conjunction with, more often in opposition to, but always in tension with the meanings that the sneaker industry attempts to embed through its ever-expansive means of marketing and advertising.
Sustainable Strategy to Boost Legumes Growth under Salinity and Drought Stress in Semi-Arid and Arid Regions
Authors: Ben Gaied Roukaya , Brígido Clarisse , Sbissi Imed , Tarhouni Mohamed
Published: July 2024

The escalating risks of drought and salinization due to climate change and anthropogenic activities are a major global concern. Rhizobium–legume (herb or tree) symbiosis is proposed as an ideal solution for improving soil fertility and rehabilitating arid lands, representing a crucial direction for future research. Consequently, several studies have focused on enhancing legume tolerance to drought and salinity stresses using various techniques, including molecular-based approaches. These methods, however, are costly, time-consuming, and cause some environmental issues. The multiplicity of beneficial effects of soil microorganisms, particularly plant growth-promoting bacteria (PGPB) or plant-associated microbiomes, can play a crucial role in enhancing legume performance and productivity under harsh environmental conditions in arid zones. PGPB can act directly or indirectly through advanced mechanisms to increase plant water uptake, reduce ion toxicity, and induce plant resilience to osmotic and oxidative stress. For example, rhizobia in symbiosis with legumes can enhance legume growth not only by fixing nitrogen but also by solubilizing phosphates and producing phytohormones, among other mechanisms. This underscores the need to further strengthen research and its application in modern agriculture. In this review, we provide a comprehensive description of the challenges faced by nitrogen-fixing leguminous plants in arid and semi-arid environments, particularly drought and salinity. We highlight the potential benefits of legume–rhizobium symbiosis combined with other PGPB to establish more sustainable agricultural practices in these regions using legume–rhizobium–PGPB partnerships.
Six Connotations of Sustainability in Civil and Construction Engineering: A Corpus Linguistics Study
Authors: Wang Xiaomei , South Andrew , Hashimoto Brett , Farnsworth Clifton
Published: July 2024

This research explores the historic use of the concept of sustainability in civil engineering academic literature and identifies its conceptual evolution and connotative treatment over the last 40 years. We find that academic research addressing sustainability is exponentially increasing and that the focus on sustainability is enlarging from a primarily environmental perspective to include more social elements. Additionally, we propose a set of six connotations of sustainability: assessment, progress, permanence, abstractness, multidimensional, and intersectional. These connotations provide conceptual clarity for academics and practitioners in better-defining sustainability objectives and measuring outcomes. These connotations also promote more efficient collaboration with other necessary disciplines in the pursuit of project and societal-level goals. The research employs a novel use of computational corpus linguistics in CCE to identify and examine patterns of collocates associated with the word sustainability in a corpus of 335,020 peer-reviewed civil and construction engineering (CCE) scholarly abstracts published between 1981 and 2021. Demonstrating this research method is a contribution to CCE researchers systematically extracting meaning from large volumes of literature.
Effectiveness of Socio-Technical Assistance (STA) Program for Vulnerable Beneficiaries: Evidence from Nepal’s Post-Earthquake Reconstruction
Authors: Bhusal Namita Poudel , Bhattarai Keshab , Walkley Fiona
Published: July 2024

This research study assesses the effectiveness of the Socio-Technical Assistance (STA) program when combined with owner-driven housing reconstruction on rural private housing recovery after Nepal’s 2015 earthquake, particularly regarding vulnerable households. Through a quantitative, 304-question survey, the study reveals that 96% of households credited STA activities for accelerating reconstruction, with 95% acknowledging its significance and 78% emphasizing its necessity. Notably, 89% expressed dependency on STA for reconstruction, and 85% believed it heightened disaster risk reduction awareness. In conclusion, the study establishes that STA activities significantly contributed to the successful reconstruction of houses for vulnerable households, addressing such critical aspects as financial support, technical assistance, housing accessibility, earthquake-resilient construction, improved livelihoods, and safety enhancements. The field study presents crucial recommendations for enhancing the effectiveness of Socio-Technical Assistance (STA) activities in post-earthquake, rural private housing reconstruction. Emphasizing the need for tailored, demand-driven interventions, the study cautions against relying solely on an owner-driven reconstruction model, challenging the one-size-fits-all strategy. The study proposes integrating tailored interventions into overarching recovery strategies, advocating for coordinated efforts to enhance disaster risk reduction (DRR) awareness and to cultivate resilient communities in particularly vulnerable households as aligned with United Nations Sustainable Development Goal 11, which focuses on sustainable cities and communities. This research aims to enhance the literature on post-disaster humanitarian shelter and settlement by emphasizing the significance of inclusive and comprehensive approaches to recovery and reconstruction.
Data-Driven Net-Zero Carbon Monitoring: Applications of Geographic Information Systems, Building Information Modelling, Remote Sensing, and Artificial Intelligence for Sustainable and Resilient Cities
Authors: Li Jilong , Shirowzhan Sara , Pignatta Gloria , Sepasgozar Samad M. E.
Published: July 2024

NZCCs aim to minimise urban carbon emissions for healthier cities in line with national and international low-carbon targets and Sustainable Development Goals (SDGs). Many countries have recently adopted Net-Zero Carbon City (NZCC) policies and strategies. While there are many studies available on NZCC cities’ definitions and policymaking, currently, research is rare on understanding the role of urban data-driven technologies such as Building Information Modelling (BIM) and Geographic Information Systems (GIS), as well as AI, for achieving the goals of NZCCs in relation to sustainable development goals (SDGs), e.g., SDGs 3, 7,11, 13, and 17. This paper aims to fill this gap by establishing a systematic review and ascertaining the opportunities and barriers of data-driven approaches, analytics, digital technologies, and AI for supporting decision-making and monitoring progress toward achieving NZCC development and policy/strategy development. Two scholarly databases, i.e., Web of Science and Scopus databases, were used to find papers based on our selected relevant keywords. We also conducted a desktop review to explore policies, strategies, and visualisation technologies that are already being used. Our inclusion/exclusion criteria refined our selection to 55 papers, focusing on conceptual and theoretical research. While digital technologies and data analytics are improving and can help in the move from net-zero carbon concepts and theories to practical analysis and the evaluation of cities’ emission levels and in monitoring progress toward reducing carbon, our research shows that these capabilities of digital technologies are not used thoroughly yet to bridge theory and practice. These studies ignore advanced tools like city digital twins and GIS-based spatial analyses. No data, technologies, or platforms are available to track progress towards a NZCC. Artificial Intelligence, big data collection, and analytics are required to predict and monitor the time it takes for each city to achieve net-zero carbon emissions. GIS and BIM can be used to estimate embodied carbon and predict urban development emissions. We found that smart city initiatives and data-driven decision-making approaches are crucial for achieving NZCCs.
Venomics of Scorpion Ananteris platnicki (Lourenço, 1993), a New World Buthid That Inhabits Costa Rica and Panama
Authors: Díaz Cecilia , Lomonte Bruno , Chang-Castillo Arturo , Bonilla Fabián , Alfaro-Chinchilla Adriana , Triana Felipe , Angulo Diego , Fernández Julián , Sasa Mahmood
Published: July 2024

Ananteris is a scorpion genus that inhabits dry and seasonal areas of South and Central America. It is located in a distinctive morpho-group of Buthids, the ‘Ananteris group’, which also includes species distributed in the Old World. Because of the lack of information on venom composition, the study of Ananteris species could have biological and medical relevance. We conducted a venomics analysis of Ananteris platnicki, a tiny scorpion that inhabits Panama and Costa Rica, which shows the presence of putative toxins targeting ion channels, as well as proteins with similarity to hyaluronidases, proteinases, phospholipases A2, members of the CAP-domain family, and hemocyanins, among others. Venom proteolytic and hyaluronidase activities were corroborated. The determination of the primary sequences carried out by mass spectrometry evidences that several peptides are similar to the toxins present in venoms from Old World scorpion genera such as Mesobuthus, Lychas, and Isometrus, but others present in Tityus and Centruroides toxins. Even when this venom displays the characteristic protein families found in all Buthids, with a predominance of putative Na+-channel toxins and proteinases, some identified partial sequences are not common in venoms of the New World species, suggesting its differentiation into a distinctive group separated from other Buthids.