bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparing Virtual and Real-Life Rapid Prototyping Methods for User Testing Smart City Interfaces: A Case Study
Authors: Joundi Jamil , Baccarne Bastiaan , Robaeyst Ben , Bombeke Klaas , De Marez Lieven , Saldien Jelle
Published: October 2024

In the development of complex embedded interactive systems, a tension arises between, on the one hand, ever shorter and highly iterative design processes, and, on the other hand, the need for user testing with early prototypes to validate systems from a user-centred design perspective. This study focuses on the integration of Virtual Reality (VR) into prototyping embedded interactive systems, examining its potential to bridge the gap between rapid prototyping and user-centered design validation. Adopting a comparative research approach, we analyze a case study: the development of a cultural smart city experience. It juxtaposes in situ, low-fidelity prototype testing with VR-based testing, evaluating their realism, interactivity, functionality, presence and task difficulty. This mixed-method research design incorporates both qualitative and quantitative methodologies, engaging 27 design students in a comparative study, conducting participatory research and 8 expert interviews. These findings reveal divergent roles in field testing and VR in the new product development process, highlighting VR’s strengths in visualizing procedures and facilitating discussion. This study identifies the limitations of VR in mimicking realistic interactions and incorporating social context yet underscores its superiority over paper prototypes in its realism and interactivity. Where field testing can hold broader contextual insights, the VR prototype gives more concrete and applied insights. The main advantage of VR testing is its visualisation of procedures and its final materialisation according to the participants interviewed. According to the experts interviewed, VR can be used as a useful tool within the development process especially for visualisation and testing user flows of complex interfaces.
Cu2ZnSnS4 Nanoparticles as an Efficient Photocatalyst for the Degradation of Diclofenac in Water
Authors: Tseberlidis Giorgio , Trifiletti Vanira , Husien Amin Hasan , L’Altrella Andrea , Binetti Simona , Gosetti Fabio
Published: October 2024

Dangerous emerging water micropollutants like Diclofenac are harming ecosystems all over the planet, and immediate action is needed. The large bandgap photocatalysts conventionally used to degrade them need to be more efficient. Cu2ZnSnS4, a well-known light absorber in photovoltaics with a bandgap of 1.5 eV, can efficiently harvest an abundant portion of the solar spectrum. However, its photocatalytic activity has so far only been reported in relation to the degradation of organic dyes, and it is usually used as a benchmark to assess the activity of a photocatalyst without testing its actual potential on a hazardous water micropollutant conventionally encountered in primary and secondary waters. Here, we report the promising photocatalytic activity of Cu2ZnSnS4 nanoparticles in the degradation of Diclofenac, chosen as a benchmark for dangerous emerging water micropollutants.
The Prospects of Controlling Open Burning of Crop Residues in Thailand: A Quantitative Assessment of Implementation Barriers and Costs
Authors: Akahoshi Kaoru , Zusman Eric , Hanaoka Tatsuya , Kim Oanh Nguyen Thi , Huy Lai Nguyen , Wangwongwatana Supat , Homyok Piyarattana , Malley Christopher S. , Hirayama Tomoki , Goto Yurie , Kawashima Kazumasa , Amann Markus
Published: October 2024

The open burning of agricultural crop residues poses a sizable threat to Southeast Asia’s near-term prosperity and long-term sustainability. Though Southeast Asia’s policymakers have adopted burning bans and other solutions to curb this threat, few studies have systematically assessed their implementation prospects. This study offers a novel data-driven assessment of those prospects in Thailand. More concretely, it estimates how much economic, technological, institutional, and social barriers could slow the implementation of burning restrictions featured in Thailand’s PM2.5 control plan. This study finds that institutional/social barriers delay implementation more than technical/economic barriers, resulting in about twice the level of PM2.5 emissions relative to an effectively implemented policy scenario over a 10- to 20-year period. This study also demonstrates that the costs of overcoming social/institutional barriers are approximately 14 million US dollars annually over a ten-year period. This figure is equivalent to about a 70% increase on the 21 million US dollars planned for controlling burning in 2026 in Thailand. The approach employed in this study—though not free of imperfections—can also be used for finer-grained comparison of the barriers/costs of managing different crop residues in Thailand and beyond.
Different Effects of a Super Storm on Atmospheric Electric Fields at Different Latitudes
Authors: Li Wen , Sun Zhibin , Chen Tao , Yan Zhaoai , Luo Jing , Xu Qingchen , Ma Zhongsong
Published: October 2024

Geomagnetic storms have a significant impact on Earth’s magnetosphere and ionosphere, as well as on the global atmospheric circuit. This study focuses on investigating the anomalous variations in the vertical atmospheric electric field at eight mid-latitude and low-latitude stations during a mega-geomagnetic storm on 24 April 2023. The majority of stations observed vertical atmospheric electric field increases, while only three nearby stations exhibited vertical atmospheric electric field decreases. The analysis revealed that vertical atmospheric electric field changes ranged from 19 to 370 V/m, and the time differences between extreme vertical atmospheric electric field values and the minimum Dst value ranged from 0 to 5.3 h. Other response patterns to this super magnetic storm at different latitudes are summarized, and the physical mechanisms of different effects of magnetic storms on the electric fields of stations at different latitudes are also discussed.
Effects of Supervised Exercise Therapy on Muscle Function During Walking in Patients with Peripheral Artery Disease
Authors: Anderson Cody P. , Pipinos Iraklis I. , Johanning Jason M. , Myers Sara A. , Rahman Hafizur
Published: October 2024

Background: Although supervised exercise therapy (SET) is a primary treatment for peripheral artery disease (PAD), the current literature is limited regarding the mechanisms contributing to increased walking distances, including how lower extremity muscle function is altered after SET. This study aimed to investigate the effects of SET on lower extremity muscle function during walking in patients with PAD. Methods: Twelve patients with PAD participated in a 6-month SET program consisting of three weekly exercise sessions (a total of 72 sessions) and adhered to the American College of Sports Medicine’s (ACSM) recommendations. Each session started with a 5 min warm-up of mild walking and static stretching of upper and lower body muscles, followed by 50 min of intermitted exercise on a treadmill, and then finished with 5 min of cool-down activities similar to the warm-up. Each patient walked across a 10 m pathway with reflective markers on their lower limbs twice: before (baseline) and after six months of participation in SET (post-exercise). Marker coordinates and ground reaction forces were recorded and imported to OpenSim software (version 4.0) for gait simulations. Muscle force, muscle power, and metabolic rate were estimated from OpenSim and compared between the baseline and post-exercise. Results: The mean plantar flexor force was not altered after SET. However, individuals’ plantar flexor muscles demonstrated improvements in force production (lateral gastrocnemius: 75–80% of stance, Cohen’s d = 0.20–0.43; medial gastrocnemius: 65–85% of stance, Cohen’s d = 0.20–0.71; soleus: 90–95% of stance, Cohen’s d = 0.20–0.26). Furthermore, plantar flexor power increased (80–95% of stance, Cohen’s d = 0.20–0.39) and this was attributed to increased power in the lateral gastrocnemius (80–85% of stance, Cohen’s d = 0.20–0.47), medial gastrocnemius (80–90% of stance, Cohen’s d = 0.22–0.60), and soleus muscles (85–95% of stance, Cohen’s d = 0.20–0.49). Similarly, other muscle groups (knee extensors, knee flexors, hip abductors, hip adductors, hip extensors, and hip flexors) also exhibited force and power increases after SET. Additionally, force and power variances were significantly decreased in several muscle groups (plantar flexors, knee extensors, hip abductors, hip external rotators, hip extensors, and hip flexors). Total metabolic rate also increased during the stance period where muscle force and power were elevated after SET (early stance: 5–25%, Cohen’s d = 0.20–0.82; mid stance: 35–45%, Cohen’s d = 0.20–0.47; late stance: 75–80%, Cohen’s d = 0.20–0.36). Conclusions: Our results suggest that from a biomechanics perspective, muscle functions during walking are improved in patients with PAD after SET; however, the improvements were generally small and were not reflected by all muscle groups.
Role of Sex and Early Life Stress Experience on Porcine Cardiac and Brain Tissue Expression of the Oxytocin and H2S Systems
Authors: Münz Franziska , Abele Nadja , Zink Fabian , Wolfschmitt Eva-Maria , Hogg Melanie , Barck Claus , Anetzberger Josef , Hoffmann Andrea , Gröger Michael , Calzia Enrico , Waller Christiane , Radermacher Peter , Merz Tamara
Published: October 2024

Early life stress (ELS) significantly increases the risk of chronic cardiovascular diseases and may cause neuroinflammation. This post hoc study, based on the material available from a previous study showing elevated “serum brain injury markers” in male control animals, examines the effect of sex and/or ELS on the cerebral and cardiac expression of the H2S and oxytocin systems. Following approval by the Regional Council of Tübingen, a randomized controlled study was conducted on 12 sexually mature, uncastrated German Large White swine of both sexes. The control animals were separated from their mothers at 28–35 days, while the ELS group was separated at day 21. At 20–24 weeks, animals underwent anesthesia, ventilation, and surgical instrumentation. An immunohistochemical analysis of oxytocin, its receptor, and the H2S-producing enzymes cystathionine-β-synthase and cystathionine-γ-lyase was performed on hypothalamic, prefrontal cortex, and myocardial tissue samples. Data are expressed as the % of positive tissue staining, and differences between groups were tested using a two-way ANOVA. The results showed no significant differences in the oxytocin and H2S systems between groups; however, sex influenced the oxytocin system, and ELS affected the oxytocin and H2S systems in a sex-specific manner. No immunohistochemical correlate to the elevated “serum brain injury markers” in male controls was identified.
Route to Measure Exact Parameters of Bio-Nanostructures Self-Assembly
Authors: Kryuchkov Mikhail , Valnohova Jana , Katanaev Vladimir L.
Published: October 2024

Artificial bio-nanocoatings, primarily composed of proteins, offer a broad range of applications across various fields thanks to their unique properties. Proteins, as major components of these structures, enable a high degree of customization, such as mutations, conjugation with other molecules or nanoparticles, or the inclusion of an enzymatic activity. Their ability to self-assembly simplifies the production of bio-nanocoatings, making this process efficient and environment-friendly. Despite these advantages, a comprehensive understanding of the underlying self-assembly mechanism is lacking, and the reaction rates governing this process have not been characterized. In this article, we introduce a novel method to determine the key parameters describing the self-assembly mechanism of bio-nanostructures. For the first time, this approach enables an accurate calculation of the autocatalytic and self-inhibitory parameters controlling the process. Through mathematical modeling, our method enhances the understanding of how the protein-based nanocoatings form and opens new avenues for their application in nanotechnology and synthetic biology. Improved control over the self-assembly processes may enable the development of nanomaterials optimized for specific functions, such as drug delivery, biosensing, and bioactive surface fabrication.
Association Between Gastroesophageal Reflux Disease and Periodontitis: A Longitudinal Follow-Up Study from the Korean National Health Screening Cohort
Authors: Lee Na-Eun , Han Kyeong Min , Yoo Dae Myoung , Kang Ho Suk , Kim Ji Hee , Kim Joo-Hee , Bang Woo Jin , Choi Hyo Geun , Park Ha Young , Kim Nan Young , Kwon Mi Jung
Published: October 2024

Background: Gastroesophageal reflux disease (GERD) and periodontitis are common conditions in older adults that can lead to serious complications, gaining public health attention. Although GERD and periodontitis share common risk factors, such as age, lifestyle habits, and socioeconomic status, large-scale studies examining their specific relationship are limited. Methods: This study aimed to assess the association between GERD and the likelihood of developing periodontitis using a national validated cohort data from Korea. Data were drawn from the Korean National Health Insurance Service Health Screening Cohort (2004–2019) using the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) diagnostic codes. The study included 16,744 GERD patients and 66,976 matched controls (matched 1:4 by age, sex, income, and residence). Cox proportional hazard models estimated hazard ratios (HRs) for periodontitis, adjusting for various factors, with subgroup analyses based on age, income, and other covariates. Results: The overall incidence of periodontitis was similar between the GERD and control groups, with no significant difference in the adjusted hazard ratios (aHR = 1.00, 95% CI 0.99–1.02, p = 0.625). However, subgroup analyses in the GERD group showed a slightly increased likelihood of periodontitis in individuals over 60 years old (aHR = 1.03, 95% CI 1.00–1.06, p = 0.050) and those in lower-income brackets (aHR = 1.03, 95% CI 1.01–1.06, p = 0.023). Conclusions: In summary, while GERD was not associated with an increased overall probability of periodontitis, age and socioeconomic factors may influence the likelihood of periodontitis development in certain GERD patients. These findings may highlight the need for targeted preventive strategies and closer oral health monitoring in older and lower-income populations with GERD.
Collagen I Microfiber Promotes Brain Capillary Network Formation in Three–Dimensional Blood–Brain Barrier Microphysiological Systems
Authors: Nakayama-Kitamura Kimiko , Shigemoto-Mogami Yukari , Piantino Marie , Naka Yasuhiro , Yamada Asuka , Kitano Shiro , Furihata Tomomi , Matsusaki Michiya , Sato Kaoru
Published: October 2024

Background: The blood–brain barrier (BBB) strictly regulates the penetration of substances into the brain, which, although important for maintaining brain homeostasis, may delay drug development because of the difficulties in predicting pharmacokinetics/pharmacodynamics (PKPD), toxicokinetics/toxicodynamics (TKTD), toxicity, safety, and efficacy in the central nervous system (CNS). Moreover, BBB functional proteins show species differences; therefore, humanized in vitro BBB models are urgently needed to improve the predictability of preclinical studies. Recently, international trends in the 3Rs in animal experiments and the approval of the FDA Modernization Act 2.0 have accelerated the application of microphysiological systems (MPSs) in preclinical studies, and in vitro BBB models have become synonymous with BBB–MPSs. Recently, we developed an industrialized humanized BBB–MPS, BBB–NET. In our previous report, we reproduced transferrin receptor (TfR)–mediated transcytosis with high efficiency and robustness, using hydrogels including fibrin and collagen I microfibers (CMFs). Methods: We investigated how adding CMFs to the fibrin gel benefits BBB-NETs. Results: We showed that CMFs accelerate capillary network formation and maturation by promoting astrocyte (AC) survival, and clarified that integrin β1 is involved in the mechanism of CMFs. Conclusions: Our data suggest that the quality control (QC) of CMFs is important for ensuring the stable production of BBB–NETs.
Machine-Learning-Based Depression Detection Model from Electroencephalograph (EEG) Data Obtained by Consumer-Grade EEG Device
Authors: Suzuki Kei , Laohakangvalvit Tipporn , Sugaya Midori
Published: October 2024

Background/Objectives: There have been attempts to detect depression using medical-grade electroencephalograph (EEG) data based on a machine learning approach. EEG has garnered interest as a method for assessing brainwaves by attaching electrodes to the scalp to obtain electrical activity in the brain. Recently, machine learning has been applied to the EEG data to detect depression, with encouraging results. Specifically, studies using medical-grade EEG data have shown that depression can be accurately detected. However, there is a need to expand the range of applications by achieving a score with machine learning using simpler consumer-grade brain wave sensors. At present, a sufficient score has not been achieved.; Methods: To improve the score of depression detection, we quantified various EEG indices to train models such as power spectrum, asymmetry, complexity, and functional connectivity. In addition, feature selection was performed to ensure that the model learns only promising EEG indices for depression detection. The feature selection methods were Light Gradient Boosting Machine (LightGBM) feature importance, mutual information, ReliefF and ElasticNet coefficients. The selected EEG indices were learned by the LightGBM model, which is reported to be as accurate as the latest deep learning models. In cross-validation, the independence of test and training data was ensured to avoid excessively calculated score; Results: The results showed that the Macro F1 score was 91.59%, suggesting that a consumer-grade EEG can detect depression. In addition, analysis of the EEG indices selected by feature selection indicated that the Macro F1 score was about 80% for single EEG indices such as differential entropy in the frequency band β and functional connectivity in the left frontal region in the frequency band 1–128 Hz; Conclusions: Although the data were obtained from a consumer-grade EEG, the results suggest that these EEG indices are promising for detection depression.
The Effect of Eye Movement Desensitization and Reprocessing (EMDR) Therapy on Reducing Craving in Populations with Substance Use Disorder: A Meta-Analysis
Authors: Martínez-Fernández Diana Emilia , Fernández-Quezada David , Garzón-Partida Andrea P. , Aguilar-García Irene G. , García-Estrada Joaquín , Luquin Sonia
Published: October 2024

Substance use disorder (SUD) significantly impacts public health, economics, and legal systems worldwide. Eye Movement Desensitization and Reprocessing (EMDR) was initially developed in the late 1980s as a therapeutic approach for post-traumatic stress disorder (PTSD), using bilateral stimulation to integrate traumatic memories with calming physiological responses. However, the effectiveness of EMDR in treating SUD remains unclear. This study aims to conduct a systematic review and meta-analysis of the impact of EMDR therapy on craving reduction in individuals with SUD. The search was conducted using databases such as PubMed and Web of Science, focusing on studies that measured craving and employed EMDR interventions. Both random and fixed effects models were used to pool effect sizes, utilizing an R software meta-package (R-4.4.1). The study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The results indicated a significant reduction in cravings among patients undergoing EMDR therapy. Specifically, under the fixed effect model, the standardized mean difference (SMD) was −0.866 with a 95% confidence interval ranging from −1.121 to −0.611 (z = −6.66, p < 0.0001). These findings may demonstrate the significant efficacy of EMDR therapy in decreasing cravings in people with SUD.
Enhanced Prediction and Evaluation of Hydraulic Concrete Compressive Strength Using Multiple Soft Computing and Metaheuristic Optimization Algorithms
Authors: Li Tianyu , Hu Xiamin , Li Tao , Liao Jie , Mei Lidan , Tian Huiwen , Gu Jinlong
Published: October 2024

Concrete is the material of choice for constructing hydraulic structures in water-related buildings, and its mechanical properties are crucial for evaluating the structural damage state. Machine learning models have proven effective in predicting these properties. However, a single machine learning model often suffers from overfitting and low prediction accuracy. To address this issue, this study introduces a novel hybrid method for predicting concrete compressive strength by integrating multiple soft computing algorithms and the stacking ensemble learning strategy. In the initial stage, several classic machine learning models are selected as base models, and the optimal parameters of these models are obtained using the improved metaheuristic-based gray wolf algorithm. In the subsequent stage, the lightweight gradient boosting tree (LightGBM) model and the metaheuristic-based optimization algorithm are combined to integrate information from base models. This process identifies the primary factors affecting concrete compressive strength. The experimental results demonstrate that the hybrid ensemble learning and heuristic optimization algorithm achieve a regression coefficient of 0.9329, a mean absolute error (MAE) of 2.7695, and a mean square error (MSE) of 4.0891. These results indicate superior predictive performance compared to other advanced methods. The proposed method shows potential for application in predicting the service life and assessing the structural damage status of hydraulic concrete structures, suggesting broad prospects.
Coupling Vibration Characteristics and Wind-Induced Responses of Large-Span Transmission Lines Under Multi-Dimensional Wind
Authors: Xie Wenping , Li Zhenhua , Du Wenlong , Fu Xing
Published: October 2024

Transmission lines, crucial for power and urban infrastructure, are vulnerable to wind damage; this paper addresses research gaps in tower-line systems under multi-dimensional wind loads and aerodynamic damping. By incorporating multi-dimensional aerodynamic damping and conducting comprehensive multi-dimensional wind response analysis, it examines parameters like ground roughness and wind attack angles that significantly influence the tower responses, offering a holistic understanding of system behavior under real wind conditions. This study analyzes wind-induced responses of a large-span Chinese transmission line using a finite element model (FEM) with three spans and two towers. This paper conducts modal analyses of a single tower and the tower-line system, comparing their vibration characteristics under one- and multi-dimensional wind loads generated via harmonic superposition methods. Incorporating the multi-dimensional aerodynamic damping, the impact of wind velocity, ground roughness, and wind attack angle on the tower-line system is analyzed through time-history results and gust response factor. The findings reveal that under the premise of multi-dimensional aerodynamic damping, multi-dimensional wind loads significantly amplify responses compared to one-dimensional loads. As wind speed, ground roughness, and wind attack angle increase, responses are elevated, causing complex changes in gust response factors, underscoring the importance of considering multi-dimensional wind loads.
Construction Project Organizational Capabilities Antecedent Model Construction Based on Digital Construction Context
Authors: Hu Qian , Chen Yonghong , Gao Linling , Ding Chenyongjun
Published: October 2024

In the context of high-quality development and the digital age, digital technology-enabled construction projects have become the only choice to promote organizational capabilities and innovation. However, the micro foundation of the organizational capabilities of construction projects has not been clarified, and its formation path is even less clear. This paper focuses on the characteristics of the times when digital technology and engineering construction are deeply integrated, conducts in-depth research on typical projects in the context of digital construction, and uses the qualitative research method of grounded theory to explore the antecedents of the formation of organizational capabilities. The results of the study establish a systematic antecedent model framework, including value integration, data traction, resource integration, technology integration, digital collaboration, and digital routines, and find out the “black box” process of the formation of construction project organizational capacities under the digital construction context. The conclusion of this study provides a theoretical basis and practical enlightenment for the construction of organizational capabilities of construction projects to cope with technological turbulence.
Effects of Steel and Glass Fibers on the Compressive Behavior of Rubberized Concrete: An Experimental Study and Constitutive Modeling
Authors: Lv Hongjie , Li Lijuan , Zhu Weiping , Li Xiaohui , Wang Daochu , Ling Zao , Feng Pandeng , Liu Feng
Published: October 2024

Rubberized concrete exhibits enhanced toughness and sustainability but suffers from reduced mechanical strength, limiting its applications. This study enhanced the compressive strength of rubberized concrete using hybrid steel/glass fibers. The results showed a positive synergy between the hybrid fibers, with improvements in compressive strength, elastic modulus, Poisson’s ratio, peak strain, and compressive toughness by 16.1%, 19.4%, 32.0%, 63.4%, and 101.7%, respectively, at a hybrid fiber content of 0.8% (steel fiber 0.6% and glass fiber 0.2%). A well-fitting stress–strain model was adopted for future constitutive simulations. This study advances the understanding of rubberized concrete with hybrid steel/glass fibers under axial compression and promotes its application in structural engineering.
Hybrid Fiber Reinforcement in HDPE–Concrete: Predictive Analysis of Fresh and Hardened Properties Using Response Surface Methodology
Authors: Dahish Hany A. , Alkharisi Mohammed K.
Published: October 2024

Plastic waste accumulation has driven research into recycling solutions, such as using plastics as partial aggregate substitutes in concrete to meet construction needs, conserve resources, and reduce environmental impact. However, studies reveal that plastic aggregates weaken concrete strength, creating the need for reinforcement methods in plastic-containing concrete. This study used experimental data from 225 tested specimens to develop prediction models for the properties of concrete containing macro-synthetic fibers (MSFs), steel fibers (SFs), and high-density polyethylene (HDPE) plastic as a partial substitute for natural coarse aggregate (NCA) by volume utilizing response surface methodology (RSM). HDPE plastics were used as a partial substitute for NCA by volume at levels of 10%, 30%, and 50%. MSFs were added at levels of 0, 0.25%, 0.5%, and 1% by volume of concrete, while SFs were added at levels of 0, 0.5%, 1%, 1.5%, and 2% by volume of concrete. The input parameters for the models are the ratio of HDPE, the dose of MSF, and the dose of SF. The responses are the slump value, the compressive strength (CS), the splitting tensile strength (TS), and the flexural strength (FS) of concrete. The significance and suitability of the developed models were assessed and validated, and the parameters’ contribution was investigated using analysis of variance (ANOVA) and other statistical tests. Numerical optimization was used to determine the best HDPE, MSF, and SF ratios for optimizing the mechanical properties of concrete. The results demonstrated that replacing NCA with HDPE plastics increased the workability and decreased the strength of concrete. The results demonstrated the applicability of the developed models for predicting the properties of HDPE–concrete containing MSFs and SFs, which agreed well with the data from experiments. The created models have R2 values more than 0.92, adequate precision more than 4, and p-values less than 0.05, showing high correlation levels for prediction. The RSM modeling results indicate that the inclusion of MSFs and SFs improved the mechanical properties of HDPE–concrete. The optimum doses of MSFs and SFs were 0.73% and 0.74%, respectively, of volume of concrete, leading to improvement in the mechanical properties of HDPE–concrete. This approach reduces plastic waste and its detrimental environmental impact. Further development of models is needed to simulate the combined effects of different fiber types, shapes, and dosages on the performance and durability of plastic-containing concrete.
A New Method for Predicting Dynamic Pile Head Stiffness Considering Pile–Soil Relative Stiffness Under Long-Term Cyclic Loading Conditions
Authors: Chen Jie , Shu Jiaqing , Xi Shuang , Gu Xiaoqing , Zhu Mingxing , Li Xiaojuan
Published: October 2024

Under long-term horizontal cyclic loading, the evolution characteristics of the loading and unloading stiffness of piles are an important representation of pile–soil interaction. However, research in this area is limited, particularly regarding the impact of factors like pile–soil relative stiffness. In this study, laboratory tests with a long-term horizontal cyclic loading strategy were conducted to study various factors, including different cyclic amplitude ratios (ζb), cyclic load ratios (ζc), and pile–soil relative stiffness (T/L) in sandy soil, on dynamic pile head stiffness. The results show that the normalized cumulative displacement increases with the number of cycles and the ratio of T/L but tends to decrease as ζc increases. As ζb increases, the normalized cyclic loading stiffness also rises, while it has little effect on the normalized cyclic unloading stiffness. On the other hand, as ζc or T/L increases, the cyclic loading stiffness increases while the unloading stiffness decreases. Based on these observations, prediction formulas for normalized cumulative displacement and cyclic loading and unloading stiffness were established and confirmed with test results. The findings of this study provide methodological references for establishing models of pile–soil interaction under cyclic loading and for predicting loading and unloading stiffness under different influencing factors.
Research on the Mechanical Properties of Composite Grouting Materials Based on Ordinary Portland–Sulphoaluminate Cement
Authors: Wang Zhenhua , Lan Wei , Jia Zhiwen , Lin Manqing , Li Dongwei
Published: October 2024

This study aimed to enhance the mechanical properties of calcium sulfoaluminate cement grouting materials (HCSA) by investigating the effects of ordinary Portland cement (OPC) content, the ratio of quicklime to gypsum, and the dosage of sodium aluminate on the compressive strength of the OPC-CSA composite system. The results indicate that as the OPC content increases, the compressive strength of the blended cement initially increases and then decreases, reaching a maximum at a 60% OPC replacement ratio within the experimental group. The addition of an appropriate amount of OPC to the CSA composite system effectively prevents the regression of compressive strength. With an increase in quicklime content, the compressive strength of the samples at various ages first increases and then decreases, with the optimal ratio of quicklime to gypsum found to be 2:8. Furthermore, sodium aluminate, used as an activator, when increased in dosage, leads to an initial increase followed by a decrease in the compressive strength of OPC-CSA samples, with an optimal incorporation rate of 0.75%, significantly enhancing the strength of the blended cement. In the orthogonal experiments, the dosage of sodium aluminate was identified as the most influential factor affecting the compressive strength of the composite grouting materials.
BIM Implementation in Post-War Reconstruction of Ukraine
Authors: Demian Peter , Hassan Tarek M. , Kalmykov Oleg , Demianenko Ivan , Makarov Roman
Published: October 2024

As of January 2024, Ukraine has suffered the extensive destruction of over 160,000 buildings, structures, and infrastructure objects due to the shelling resulting from the ongoing war. After the conflict, the country will undergo large-scale reconstruction, following European standards. However, Ukraine’s construction industry remains somewhat outdated, particularly in digital technologies like BIM (Building Information Modeling). Despite this, Ukraine has a growing number of young professionals providing BIM services to international clients. A collaborative study between Loughborough University (UK) and the O.M. Beketov National University of Urban Economy (Ukraine) examined the current state of BIM in Ukraine. The research aimed to develop a strategy for integrating BIM into post-war reconstruction, based on a review of the design and construction sectors. The findings showed that BIM use in Ukraine is driven by international market demands, requiring changes in how BIM is adopted locally. A survey of 234 employees from Ukrainian outsourcing companies and interviews with seven large construction firms in Eastern Ukraine revealed barriers to BIM adoption. These included low wages, a lack of incentives for large firms, bureaucratic inefficiencies, corruption, outdated construction management, and weak regulations. This study provides recommendations to accelerate BIM integration in Ukraine’s construction industry during the post-war rebuilding phase.
Technology Gap Analysis on the BIM-Enabled Design Process of Prefabricated Buildings: An Autoethnographic Study
Authors: Zhou Ding , Chen Longbao , Wei Guohua , Zhang Jiahui , Guo Pengxiang , Wang Huigang , Zhao Junpeng , Huang Weijia
Published: October 2024

This research explores the pivotal role of Building Information Modeling (BIM) technology in revolutionizing the design and construction of prefabricated buildings. It highlights the benefits of BIM-enabled design processes, including improved coordination and efficiency, while addressing challenges in integrating BIM with prefabricated elements. The study proposes artificial intelligence (AI) solutions to enhance architectural detailing, optimize workflows, and facilitate human–robot collaboration. Using autoethnographic methods, the research refines BIM-forward design through thematic analysis and technology gap (TG) assessments. It advocates for a comprehensive technology roadmap that emphasizes BIM libraries, external data sources, and the transition to a multi-dimensional BIM environment. This research contributes valuable insights to advance BIM practices in prefabricated building construction and offers a strategic framework to bridge existing TGs, enabling seamless integration of BIM and AI in future practices.
Diagnostics and Screening in Breast Cancer with Brain and Leptomeningeal Metastasis: A Review of the Literature
Authors: Cohen-Nowak Adam J. , Hill Virginia B. , Kumthekar Priya
Published: October 2024

Brain and leptomeningeal metastases are complications of breast cancer with high rates of morbidity and mortality and have an estimated incidence of up to 30%. While National Comprehensive Cancer Network (NCCN) guidelines recommend screening for central nervous system metastasis in other neurotropic cancers such as non-small cell lung cancer, there are no such recommendations for asymptomatic breast cancer patients at any stage of disease. This review highlights ongoing studies into screening and diagnostics for breast cancer with brain and leptomeningeal metastasis (BCBLM) as they relate to patient outcomes and prognostication. These include imaging methods such as MRI with novel contrast agents with or without PET/CT, as well as ‘liquid biopsy’ testing of the cerebrospinal fluid and serum to analyze circulating tumor cells, genomic material, proteins, and metabolites. Given recent advances in radiation, neurosurgery, and systemic treatments for BCBLM, screening for CNS involvement should be considered in patients with advanced breast cancer as it may impact treatment decisions and overall survival.
ALDH1A3 Contributes to Radiation-Induced Inhibition of Self-Renewal and Promotes Proliferative Activity of p53-Deficient Glioblastoma Stem Cells at the Onset of Differentiation
Authors: Müller Andreas , Lyubarskyy Bogdan , Tchoumakov Jurij , Wagner Maike , Sprang Bettina , Ringel Florian , Kim Ella L.
Published: October 2024

ALDH1A3 is a marker for mesenchymal glioblastomas characterized by a greater degree of aggressiveness compared to other major subtypes. ADH1A3 has been implicated in the regulation of stemness and radioresistance mediated by glioblastoma stem cells. Mechanisms by which ALDH1A3 promotes malignant progression of glioblastoma remain elusive posing a challenge for rationalization of ALDH1A3 targeting in glioblastoma, and it is also unclear how ALDH1A3 regulates glioblastoma cells stemness. Usage of different models with diverse genetic backgrounds and often unknown degree of stemness is one possible reason for discrepant views on the role of ALDH1A3 in glioblastoma stem cells. This study clarifies ALDH1A3 impacts on glioblastoma stem cells by modelling ALDH1A3 expression in an otherwise invariable genetic background with consideration of the impacts of inherent plasticity and proliferative changes associated with transitions between cell states. Our main finding is that ALDH1A3 exerts cell-state dependent impact on proliferation of glioblastoma stem cells. We provide evidence that ALDH1A3 augments radiation-induced inhibition of self-renewal and promotes the proliferation of differentiated GSC progenies. Congruent effects ALDH1A3 and radiation on self-renewal and proliferation provides a framework for promoting glioblastoma growth under radiation treatment.
Feasibility of a Virtual Reality System in Speech Therapy: From Assessment to Tele-Rehabilitation in Children with Cerebral Palsy
Authors: Mangani Gloria , Barzacchi Veronica , Bombonato Clara , Barsotti Jessica , Beani Elena , Menici Valentina , Ragoni Carolina , Sgandurra Giuseppina , Del Lucchese Benedetta
Published: October 2024

Background/Objectives: New advances in technologies are opening the possibility to support functional evaluation and rehabilitation in the field of speech therapy. Among available systems, a virtual reality rehabilitation system (VRRS, Khymeia) is a multi-domain ecosystem. Despite it being used in a limited number of studies, its use in speech-therapy has shown potential for promoting linguistic and literacy skills. Methods: This pilot study aims to assess the feasibility of single-session speech assessment with the VRRS in twenty-eight children with cerebral palsy (CP) by means of ad hoc questionnaires. Moreover, we evaluated the feasibility and the effects of an intensive tele-rehabilitation treatment with the VRRS in a subgroup of three children with unilateral CP. Results: Feasibility was generally good when using the VRRS for assessments. Both clinicians and children found it to have good usability, although acceptability scores were higher for children than clinicians. For tele-rehabilitation, overall improvements were observed in both linguistic and learning (reading and writing) skills. Conclusions: This study paves the way for VRRS use in speech-therapy tele-rehabilitation for children with CP and language and learning difficulties.
Precision Medicine for Acute Lymphoblastic Leukemia in Children: A Review
Authors: Ray Anish , Levitt Michael , Efunkoya Toluwalope , Trinkman Heidi
Published: October 2024

The clinical outcome for children diagnosed with acute lymphoblastic leukemia is a testimony to the success of modern medicine. Over the past few decades, survival has climbed from ∼10% to >90% for certain subgroups. Yet, the outcome for those with relapsed disease is often poor, and survivors struggle with a multitude of healthcare issues, some of which are lifelong. In recent years, the advent of the widespread sequencing of tumors has made available patients with previously unrecognized subtypes of leukemia, who have the potential to benefit from the addition of targeted therapies. Indeed, the promise of precision medicine, encompassing a person’s environment, genetics and lifestyle, is likely to have profound impact on further tailoring therapies that are likely to improve outcomes, diminish toxicity and ultimately pave the pathway for a healthier population.
Findings from the Mighty Girls Efficacy Trial: Changes in Acceptance of Dating Violence
Authors: Hecht Michael L. , Norris Anne E. , Crowley Daniel Max , Temple Jeff R. , Choi Hye Jeong
Published: October 2024

Background/Objectives: Test efficacy of the social emotional learning (SEL)-based Mighty Girls program, a program culturally tailored for English-speaking Hispanic/Latino girls in seventh grade comprised of classroom sessions and a virtual reality computer game. We hypothesized that the curriculum would decrease risky sexual behaviors in a program that can be used as part of a comprehensive sex education curriculum or as a stand-alone program. Methods: A randomized group trial was conducted in which 22 low-income, predominately Hispanic schools within the Miami-Dade County Public School System were randomly assigned to intervention (consented n = 335) and control (consented n = 217) conditions. All study activities occurred after school. Primary outcome measures were resistance self-efficacy, acceptance of dating violence, sexual intentions, and sexual behavior. Assessments occurred at baseline, immediately post-intervention, 3-, 12-, and 24-months post-intervention. Changes in outcomes from baseline to 24 months were modeled using multi-level models to account for nesting of students within schools with full information maximum likelihood to account for missing data and baseline school attendance and enrollment in free and reduced lunch as covariates. Analyses are also controlled for multiple testing. Results: The program had a significant effect on reducing acceptance of dating violence at 24 months post-intervention (estimate = −0.083, p ≤ 0.05), but no effect on resistance self-efficacy, sexual intentions, or sexual behavior (p ≥ 0.58). Conclusion: Study findings demonstrate that a social emotional learning (SEL) curriculum can impact sexual behaviors such as susceptibility to dating violence. Low baseline levels for sexual intentions and behaviors as well as a high baseline of efficacy may have impacted findings for the other outcomes.
Follow-Up of Neonatal Hearing Screening in the Risk Factor Group for Hearing Loss: Results from a Tertiary Medical Center
Authors: Geal Dor Miriam , Gross Menachem , Adelman Cahtia
Published: October 2024

Introduction: Universal newborn hearing screening has been successfully implemented in many places around the world, and it is recommended that cases with risk factors for hearing loss be followed-up regardless of hearing screening results. However, there is a need for clarity regarding the recommended rate of follow-up and which tests should be performed. The aim of this study was to assess the audiologic follow-up program for the group with risk factors. Method: Our retrospective study involved children of various ages with a risk factor for hearing loss who passed the initial neonatal hearing test but were later diagnosed with hearing loss. Out of 113,708 children born at Hadassah University Medical Center during the years 2013–2021, 6763 were at risk of hearing loss, and their follow-up audiologic test results were studied. Results: Audiologic testing including ABR, OAE, tympanometry and behavioral audiometry was performed in 1534 of 6763 (23%) of the risk factor group that returned to the hospital. In total, 73 children (4.7%) were diagnosed with hearing loss, 54 of whom failed the initial screening and 19 who had passed it. Further examination of the children that passed the initial screening and were later diagnosed with a hearing loss revealed that four cases had been missed in screening (one familial mild hearing loss, one familial progressive loss, one premature infant with a high tone loss, and one NICU graduate with CNS involvement). Another nine cases had late-onset hearing loss (three meningitis, five CMV, and one with a mitochondrial disease). An additional six cases were diagnosed late, and the age of onset of the hearing loss was unknown (two intubated, two with hydrocephalus, one with Cerebral Palsy, and one with general developmental delay). Conclusions: These results reveal the importance of implementing a refined protocol for monitoring hearing in the high-risk group of children that pass neonatal hearing screening with respect to which hearing tests should be conducted, at what age, and the duration of follow-up. Also, barriers to follow-up must be dealt with, and parents should be more involved in the monitoring process.
Optimization of LPCVD Deposition Conditions of Silicon-Rich Silicon Nitride to Obtain Suitable Optical Properties for Photoluminescent Coating
Authors: Uribe González Francisco , Monfil Leyva Karim , Moreno Moreno Mario , Morales Sánchez Alfredo , Muñoz Zurita Ana L. , Luna López José A. , Carrillo López Jesús , Hernández de la Luz José A. D. , Salazar Valdez Alma S. L.
Published: October 2024

Silicon nitride is a commonly used material for ceramic applications and in the fabrication processes of integrated circuits (ICs). It has also increased in interest from the scientific community for use as a functional coating due to its physical, mechanical, electrical, and optoelectronic properties. In particular, silicon-rich silicon nitride (SRSN) has been considered in the photovoltaic industry as a down-conversion film for solar cells. In this work, SRSN films have been obtained by the Low-Pressure Chemical Vapor Deposition (LPCVD) technique at low to moderate deposition temperatures with a variation in the precursor gas pressure ratio. The SRSN films showed a wide photoluminescence (PL) in the visible region (without a high-deposition temperature or annealing process) and suitable optical properties (refractive index and absorption in the UV) to be used as photoluminescent coating on silicon solar cells. The absence of high-deposition temperatures could preserve the original structure of silicon solar cells, once the SRSN layer was applied. In addition, control of the reactive gas pressure ratio and deposition temperature showed an influence on the refractive index, the surface roughness, and the PL emission.