bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrating Structured and Unstructured Data with BERTopic and Machine Learning: A Comprehensive Predictive Model for Mortality in ICU Heart Failure Patients
Authors: Wu Shih-Wei , Li Cheng-Cheng , Chien Te-Nien , Chu Chuan-Mei
Published: August 2024

Heart failure remains a leading cause of mortality worldwide, particularly within Intensive Care Unit (ICU)-patient populations. This study introduces an innovative approach to predicting ICU mortality by seamlessly integrating electronic health record (EHR) data with a BERTopic-based hybrid machine-learning methodology. The MIMIC-III database serves as the primary data source, encompassing structured and unstructured data from 6606 ICU-admitted heart-failure patients. Unstructured data are processed using BERTopic, complemented by machine-learning algorithms for prediction and performance evaluation. The results indicate that the inclusion of unstructured data significantly enhances the model’s predictive accuracy regarding patient mortality. The amalgamation of structured and unstructured data effectively identifies key variables, enhancing the precision of the predictive model. The developed model demonstrates potential in improving healthcare decision-making, elevating patient outcomes, and optimizing resource allocation within the ICU setting. The handling and application of unstructured data emphasize the utilization of clinical narrative records by healthcare professionals, elevating this research beyond the traditional structured data predictive tools. This study contributes to the ongoing discourse in critical care and predictive modeling, offering valuable insights into the potential of integrating unstructured data into healthcare analytics.
FrameSum: Leveraging Framing Theory and Deep Learning for Enhanced News Text Summarization
Authors: Zhang Xin , Wei Qiyi , Zheng Bin , Liu Jiefeng , Zhang Pengzhou
Published: August 2024

Framing theory is a widely accepted theoretical framework in the field of news communication studies, frequently employed to analyze the content of news reports. This paper innovatively introduces framing theory into the text summarization task and proposes a news text summarization method based on framing theory to address the global context of rapidly increasing speed and scale of information dissemination. Traditional text summarization methods often overlook the implicit deep-level semantic content and situational frames in news texts, and the method proposed in this paper aims to fill this gap. Our deep learning-based news frame identification module can automatically identify frame elements in the text and predict the dominant frame of the text. The frame-aware summarization generation model (FrameSum) can incorporate the identified frame feature into the text representation and attention mechanism, ensuring that the generated summary focuses on the core content of the news report while maintaining high information coverage, readability, and objectivity. Through empirical studies on the standard CNN/Daily Mail dataset, we found that this method performs significantly better in improving summary quality and maintaining the accuracy of news facts.
Syntheses, Properties, and Applications of ZnS-Based Nanomaterials
Authors: Chakrabarti Amartya , Alessandri Emily
Published: August 2024

ZnS is a II-VI semiconductor with a wide bandgap. ZnS-based nanomaterials have been produced in a variety of morphologies with unique properties and characteristic features. An extensive collection of research activities is available on various synthetic methodologies to produce such a wide variety of ZnS-based nanomaterials. In this comprehensive review, we thoroughly covered all the different synthetic techniques employed by researchers across the globe to produce zero-dimensional, one-dimensional, two-dimensional, and three-dimensional ZnS-based nanomaterials. Depending on their morphologies and properties, ZnS-based nanomaterials have found many applications, including optoelectronics, sensors, catalysts, batteries, solar cells, and biomedical fields. The properties and applications of ZnS-based nanostructures are described, and the scope of the future direction is highlighted.
Solving a Stochastic Multi-Objective Sequence Dependence Disassembly Sequence Planning Problem with an Innovative Bees Algorithm
Authors: Huang Xinyue , Zhang Xuesong , Gao Yanlong , Zhan Changshu
Published: August 2024

As the number of end-of-life products multiplies, the issue of their efficient disassembly has become a critical problem that urgently needs addressing. The field of disassembly sequence planning has consequently attracted considerable attention. In the actual disassembly process, the complex structures of end-of-life products can lead to significant delays due to the interference between different tasks. Overlooking this can result in inefficiencies and a waste of resources. Therefore, it is particularly important to study the sequence-dependent disassembly sequence planning problem. Additionally, disassembly activities are inherently fraught with uncertainties, and neglecting these can further impact the effectiveness of disassembly. This study is the first to analyze the sequence-dependent disassembly sequence planning problem in an uncertain environment. It utilizes a stochastic programming approach to address these uncertainties. Furthermore, a mixed-integer optimization model is constructed to minimize the disassembly time and energy consumption simultaneously. Recognizing the complexity of the problem, this study introduces an innovative bees algorithm, which has proven its effectiveness by showing a superior performance compared to other state-of-the-art algorithms in various test cases. This research offers innovative solutions for the efficient disassembly of end-of-life products and holds significant implications for advancing sustainable development and the recycling of resources.
Trajectory Optimization to Enhance Observability for Bearing-Only Target Localization and Sensor Bias Calibration
Authors: Peng Jicheng , Wang Qianshuai , Jin Bingyu , Zhang Yong , Lu Kelin
Published: August 2024

This study addresses the challenge of bearing-only target localization with sensor bias contamination. To enhance the system’s observability, inspired by plant phototropism, we propose a control barrier function (CBF)-based method for UAV motion planning. The rank criterion provides only qualitative observability results. We employ the condition number for a quantitative analysis, identifying key influencing factors. After that, a multi-objective, nonlinear optimization problem for UAV trajectory planning is formulated and solved using the proposed Nonlinear Constrained Multi-Objective Gray Wolf Optimization Algorithm (NCMOGWOA). Simulations validate our approach, showing a threefold reduction in the condition number, significantly enhancing observability. The algorithm outperforms others in terms of localization accuracy and convergence, achieving the lowest Generational Distance (GD) (7.3442) and Inverted Generational Distance (IGD) (8.4577) metrics. Additionally, we explore the effects of the CBF attenuation rates and initial flight path angles.
Spontaneously Hypertensive Rats Present Exacerbated Focal Stroke Behavioral Outcomes
Authors: Moreira João Victor Matos e , Bernardi Luis Pedro , Teixeira Fernanda Cardoso , Paniago Jerônimo , Teixeira Luciele Varaschini , Bifi Felippo , Souza Diogo Onofre , Rohden Francieli
Published: August 2024

This study aimed to analyze the effects of systemic arterial hypertension (SAH) in a model of permanent ischemic stroke (focal ischemia due to thermocoagulation of pial vessels) on sensorimotor function (cylinder test and patch removal test), behavioral tasks (novelty habituation memory open field task) and cerebral infarct size in adult male spontaneously hypertensive rats (SHR) and normotensive Wistar Kyoto rats (WKY) for 42 days after the occurrence of a stroke. We observed that the stroke caused asymmetry in the front paws and delayed adhesive removal. These effects were spontaneously reduced in WKY rats, but not in SHR. Short- and long-term novelty habituation memories were abolished by stroke in WYK and SHR. On the 3rd day after stroke, the size of the focal cerebral infarct was the same in WKY and SHR. However, on the 7th day, the infarct size decreased in WKY rats, but not SHR. These results suggested that SAH impairment of sensorimotor recovery in rats subjected to cerebral ischemia could be related to augmented focal cerebral infarct size. Moreover, the behavioral tasks used in this study were unaffected by Systemic Arterial Hypertension. Our results highlight the need for animal models of comorbidities in stroke research.
EEG-Based Seizure Prediction Using Hybrid DenseNet–ViT Network with Attention Fusion
Authors: Yuan Shasha , Yan Kuiting , Wang Shihan , Liu Jin-Xing , Wang Juan
Published: August 2024

Epilepsy seizure prediction is vital for enhancing the quality of life for individuals with epilepsy. In this study, we introduce a novel hybrid deep learning architecture, merging DenseNet and Vision Transformer (ViT) with an attention fusion layer for seizure prediction. DenseNet captures hierarchical features and ensures efficient parameter usage, while ViT offers self-attention mechanisms and global feature representation. The attention fusion layer effectively amalgamates features from both networks, guaranteeing the most relevant information is harnessed for seizure prediction. The raw EEG signals were preprocessed using the short-time Fourier transform (STFT) to implement time–frequency analysis and convert EEG signals into time–frequency matrices. Then, they were fed into the proposed hybrid DenseNet–ViT network model to achieve end-to-end seizure prediction. The CHB-MIT dataset, including data from 24 patients, was used for evaluation and the leave-one-out cross-validation method was utilized to evaluate the performance of the proposed model. Our results demonstrate superior performance in seizure prediction, exhibiting high accuracy and low redundancy, which suggests that combining DenseNet, ViT, and the attention mechanism can significantly enhance prediction capabilities and facilitate more precise therapeutic interventions.
The Absence of Items Addressing Increased Appetite or Weight in Depressive-Symptom Questionnaires: Implications for Understanding the Link between Major Depressive Disorder, Antidepressants, and Obesity
Authors: Treviño-Alvarez Andrés M. , Gluck Marci E. , McElroy Susan L. , Cuellar-Barboza Alfredo B.
Published: August 2024

Major depressive disorder (MDD) and obesity have a complex bidirectional relationship. However, most studies do not assess increased appetite or weight as a depressive symptom due to limitations in rating scales. Here we aimed to analyze frequently employed depressive-symptom scales and discuss the relevance of weight and appetite assessment items. To elaborate this perspective, we searched for validated questionnaires and scales evaluating depressive symptoms in English. We analyzed appetite and weight items from 20 depressive-symptoms rating scales. Only 8 of 20 rating scales assessed for increased weight or appetite. The scales reported in the literature as the most employed in antidepressants efficacy trials do not assess increased appetite or weight. The current use of rating scales limits our understanding of the relationship between MDD, antidepressants, and obesity. It is necessary to improve our weight and appetite measurements in MDD to clarify the respective impact of depressive symptoms and antidepressants on weight change.
Cognitive Stimulation with Music in Older Adults with Cognitive Impairment: A Scoping Review
Authors: Raglio Alfredo , Figini Camilla , Bencivenni Alice , Grossi Federica , Boschetti Federica , Manera Marina Rita
Published: August 2024

Background: The use of music in cognitive interventions represents a possibility with potential worthy of further investigation in the field of aging, both in terms of prevention from dementia, in the phase of mild cognitive impairment, and in the treatment of overt dementia. Objectives: Currently, the types of music-based interventions proposed in the literature are characterized by wide heterogeneity, which is why it is necessary to clarify which interventions present more evidence of effectiveness in stimulating different cognitive domains. Method: The study was conducted in accordance with PRISMA guidelines for scoping reviews. By searching two different databases, PubMed and the Web of Science, all studies evaluating the cognitive effects of music-based interventions on people at early stages of cognitive decline (MCI or mild-to-moderate dementia) were selected. Results: The study selection included a total of 28 studies involving n = 1612 participants (mean age ranged from 69.45 to 85.3 years old). Most of the studies analyzed agree with the observation of an improvement, or at least maintenance, of global cognitive conditions (mainly represented by the results of the MMSE test) following music-based interventions, together with a series of other positive effects on verbal fluency, memory, and executive processes. Conclusions: The results of this review suggest the introduction of music-based interventions as complementary approaches to usual cognitive treatments. Also, the use of standardized and well-defined protocols, in addition to strong methodological research approaches, is suggested. Music-based interventions are recommended in the early stages of dementia, in MCI, and in a preventive sense in healthy older adults.
Flow Diversion for Cerebral Aneurysms: A Decade-Long Experience with Improved Outcomes and Predictors of Success
Authors: Jee Tae Keun , Yeon Je Young , Kim Keon Ha , Kim Jong-Soo , Jeon Pyoung
Published: August 2024

Background: Flow diversion has significantly improved the management of cerebral aneurysms. Technological advancements and increased clinical experience over the past decade have led to better outcomes and fewer complications. This study provides updated results and examines the factors that influence the success of flow diversion. Methods: We reviewed records of 115 patients with 121 intracranial aneurysms treated from July 2014 to August 2023. All patients had unruptured aneurysms in the anterior and posterior circulation. Results: Complete aneurysm occlusion was achieved in 72.7% of cases, with a complication rate of 9.1%. Significant predictors of complete occlusion included aneurysm diameter (OR = 0.89, 95% CI 0.82–0.97, p = 0.009) and the presence of incorporated branches (OR = 0.22, 95% CI 0.08–0.59, p = 0.003). Cox analysis identified neck diameter (HR = 0.92, 95% CI 0.87–0.98, p = 0.009) and incorporated branch (HR = 0.40, 95% CI 0.24–0.69, p = 0.001) as significant for occlusion. Multivariable analysis identified aneurysm diameter (OR = 1.21, 95% CI 1.09–1.37, p = 0.001) as significant for safety outcomes. Improved outcomes were observed in recent treatments, with higher occlusion rates (79.7% vs. 61.7%, p = 0.050) and lower complication rates (4.1% vs. 14.9%, p = 0.011). Conclusions: Enhanced technical proficiency, better devices, and refined patient selection have significantly improved the efficacy and safety of flow diversion for cerebral aneurysms. Identifying significant predictors for treatment success and safety outcomes can inform clinical practice, aiding in patient selection.
Detection of Anxiety-Based Epileptic Seizures in EEG Signals Using Fuzzy Features and Parrot Optimization-Tuned LSTM
Authors: Palanisamy Kamini Kamakshi , Rengaraj Arthi
Published: August 2024

In humans, epilepsy is diagnosed through electroencephalography (EEG) signals. Epileptic seizures (ESs) arise due to anxiety. The detection of anxiety-based seizures is challenging for radiologists, and there is a limited availability of anxiety-based EEG signals. Data augmentation methods are required to increase the number of novel samples. An epileptic seizure arises due to anxiety, which manifests as variations in EEG signal patterns consisting of changes in the size and shape of the signal. In this study, anxiety EEG signals were synthesized by applying data augmentation methods such as random data augmentation (RDA) to existing epileptic seizure signals from the Bonn EEG dataset. The data-augmented anxiety seizure signals were processed using three algorithms—(i) fuzzy C-means–particle swarm optimization–long short-term memory (FCM-PS-LSTM), (ii) particle swarm optimization–long short-term memory (PS-LSTM), and (iii) parrot optimization LSTM (PO-LSTM)—for the detection of anxiety ESs via EEG signals. The predicted accuracies of detecting ESs through EEG signals using the proposed algorithms—namely, (i) FCM-PS-LSTM, (ii) PS-LSTM, and (iii) PO-LSTM—were about 98%, 98.5%, and 96%, respectively.
Low-Grade Inflammation Associated with Major Depression Subtypes: A Cross-Sectional Study
Authors: Bernier Veronique , Alsaleh Ghada , Point Camille , Wacquier Benjamin , Lanquart Jean-Pol , Loas Gwenolé , Hein Matthieu
Published: August 2024

Major depressive disorder (MDD) is associated with inflammation and a high level of comorbidities. Atypical depression (AD) is a MDD subtype based on DSM criteria, that could have specific underlying biological mechanisms. AD is associated with elevated cardiovascular (CVD) comorbidities, higher risk of suicide attempts, hypersomnia, and anxiety disorder. In this study, we aim to investigate if AD and polysomnographic parameters could be associated with low-grade inflammation (LGI). LGI is defined by a range from 3 to 10 mg/L of C-reactive protein levels. We carried out a retrospective cohort study in which 765 individuals with MDD were split into two groups: with and without LGI. Our results exhibit differences between the groups for the polysomnographic parameters, with the LGI group showing parameters already associated with inflammation such as reduced rapid eye movement sleep and elevated hypoxemia markers (identified as CVD risk factor). We found that AD is associated with LGI (OR 1.48; p = 0.047) after adjustment. Likewise, we found an LGI prevalence in AD higher (34.8%) than in MDD without atypical features (26.8%). Overall, these results confirm the low-grade inflammation feature of AD and highlight polysomnographic parameters associated with LGI that could also act as risk factors in this context.
Gamma-Band Auditory Steady-State Response and Attention: A Systemic Review
Authors: Matulyte Giedre , Parciauskaite Vykinta , Bjekic Jovana , Pipinis Evaldas , Griskova-Bulanova Inga
Published: August 2024

Auditory steady-state response (ASSR) is the result of the brain’s ability to follow and entrain its oscillatory activity to the phase and frequency of periodic auditory stimulation. Gamma-band ASSR has been increasingly investigated with intentions to apply it in neuropsychiatric disorders diagnosis as well as in brain–computer interface technologies. However, it is still debatable whether attention can influence ASSR, as the results of the attention effects of ASSR are equivocal. In our study, we aimed to systemically review all known articles related to the attentional modulation of gamma-band ASSRs. The initial literature search resulted in 1283 papers. After the removal of duplicates and ineligible articles, 49 original studies were included in the final analysis. Most analyzed studies demonstrated ASSR modulation with differing attention levels; however, studies providing mixed or non-significant results were also identified. The high versatility of methodological approaches including the utilized stimulus type and ASSR recording modality, as well as tasks employed to modulate attention, were detected and emphasized as the main causality of result inconsistencies across studies. Also, the impact of training, inter-individual variability, and time of focus was addressed.
Alzheimer’s Disease-Related Cerebrospinal Fluid Biomarkers in Progressive Supranuclear Palsy
Authors: Ishiguro Takanobu , Kasuga Kensaku
Published: August 2024

Progressive Supranuclear Palsy (PSP) is the most common four-repeat tauopathy. PSP cases are typically characterized by vertical gaze palsy and postural instability; however, various phenotypes have been reported, making antemortem diagnosis based on clinical symptoms challenging. The development of biomarkers reflecting brain pathology and the ability to diagnose patients based on these biomarkers are essential for developing future intervention strategies, including disease-modifying therapies. However, despite many dedicated efforts, no highly specific fluid biomarker for PSP has yet been established. Conversely, several cerebrospinal fluid (CSF) biomarkers of Alzheimer’s Disease (AD) have been established, and an AT(N) classification system has been proposed. Typically, among patients with AD, CSF amyloid β42 (Aβ42), but not Aβ40, is decreased, resulting in a reduction in the Aβ42/Aβ40 ratio, while tau phosphorylated at threonine 181 (p-tau181) and total tau (t-tau) are increased. Interestingly, the core CSF AD biomarkers show unique patterns in patients with PSP. Furthermore, reports have indicated that the CSF levels of both Aβ42 and Aβ40 are decreased independently of Aβ accumulation in PSP. Therefore, the Aβ42/Aβ40 ratio could potentially be used to differentiate PSP from AD. Additionally, studies have reported that CSF p-tau and t-tau are reduced in PSP, and that the neurofilament light chain is remarkably increased compared to healthy controls and patients with AD, even though PSP is a neurodegenerative disease associated with tau accumulation. These PSP-specific changes in AD-related core biomarkers may reflect the pathology of PSP and contribute to its diagnosis. As such, elucidating the mechanisms underlying the observed decreases in Aβ and tau levels could facilitate a better understanding of the pathogenesis of PSP.
Systematic Review on the Impact of Various Types of Universal Basic Income on Mental Health in Low- and Middle-Income Countries
Authors: Gomboc Simona , Zagoranski Matija , Kos Anaja , Bolta Tinkara , Kitanovska Teodora , Rupena Gaja , Slabanja Lara , Soklič Julija , Ružič Povirk Lara , Šenica Lina , Udvanc Elara , Vrhovnik Tija , Kržišnik Matej , Jug Vesna
Published: August 2024

In the past two decades, a significant surge in interest in investigating mental disorders and challenges faced by low- and middle-income countries in the realm of mental health has been observed. Various types of universal basic income (UBI) programs have already demonstrated significant impacts on individuals’ mental health in high-income countries. Therefore, this review focuses on the situation in low- and middle-income countries. A literature review was conducted using seven electronic databases. Empirical studies of any design that implemented different types of UBI interventions in middle- and low-income countries and applied any type of mental health measures were searched for. After systematically reviewing 6822 articles, 13 empirical studies examining the relationship between various types of UBI interventions and different aspects of mental health in developing countries were identified. The collective findings of the studies suggest that UBI programs have significant positive effects on the mental health of individuals from developing countries, with the potential mediating role of unconditionality and payment frequency being noteworthy. However, these implications are limited due to the small number of studies conducted in this area and their methodological constraints. Further research with rigorous design is needed, particularly focusing on experimental control and length of follow-up periods.
Homophobic Bullying, Traditional Bullying, Cyberbullying, and Health-Related Quality of Life (HRQoL) in Adolescents According to Their Sexual Orientation
Authors: Hurtado-Mellado Almudena , Rodríguez-Hidalgo Antonio J.
Published: August 2024

Recent studies suggest that traditional bullying, cyberbullying, and homophobic bullying lead to a low health-related quality of life (HRQoL) in adolescents. The present study aims to analyze this, paying particular attention to homophobic bullying, based on the sexual orientation of 815 adolescents who were asked to fill in a self-report questionnaire. In heterosexuals, both homophobic victimization and victimization were inversely related to different dimensions of HRQoL (moods and emotions, and school environment, respectively). In adolescents who were uncertain about their sexual orientation, there were inverse relationships between homophobic victimization and mood and social acceptance, and there was also a positive relationship between homophobic aggression and physical well-being. In homosexuals and bisexuals, homophobic victimization was inversely related to social acceptance, economic resources, and autonomy, while homophobic aggression was not related to HRQoL. The results obtained offer new insights, thanks to the use of a specific and validated instrument to record homophobic bullying that covers both homophobic victimization and homophobic aggression. In addition, the need to intervene in a holistic manner, involving political and social agents, as well as all actors implicated in the school environment, is discussed with a view to protecting adolescent health and promoting inclusive education.
Psychological Well-Being and Self-Aging Attitudes Moderate the Association between Subjective Age and Age Discrimination in the Workplace
Authors: Suberry Assaf , Bodner Ehud
Published: August 2024

Views of aging include peoples’ assessment of their own aging process and their subjective age. Positive views of aging relate to a improved psychological well-being which predicts better physical and mental health. While these relationships were substantially studied, the moderating roles of self-aging attitudes and psychological well-being in the subjective age–age discrimination connection have been much less explored. The current study used a convenience sample of 568 participants (mean = 66.21y, SD = 11.95, age range 50–95), 55.8% women, 67.1% employed. In line with the hypotheses, young subjective age and psychological well-being were connected to less age discrimination in the workplace, and higher psychological well-being mitigated the subjective age–age discrimination at work connection. When the perception of old age as a period of loss was added to the model, adults who perceived old age as a period of loss and reported lower levels of psychological well-being demonstrated the strongest relationship between an increase in subjective age and an increase in age-related discrimination at work. The findings emphasize the importance of the psychological well-being of older employees as a resource for improving their attitudes towards their last years at work.
Exploring How Stereotype Modification Mediates the Relationship between Social Dominance and Multicultural Acceptance
Authors: Lee Sowon , Kim Boyoung
Published: August 2024

This research examines the mediating role of stereotype modification in the relationship between social dominance orientation (SDO) and multicultural acceptance in South Korea’s increasingly diverse society. We obtained a sample of 402 participants between the ages of 20 and 65 through an online survey. We used SPSS 26.0 for statistical analyses, including frequency, correlation, and regression analyses. Employing Hayes’ Model 4, we examined the mediation effect with a bootstrap sample of 10,000 iterations, determining the significance of the effect with a 95% confidence interval (CI). The results revealed nuanced relationships among the variables, shedding light on the complex dynamics of social cognition and intergroup relationships in the South Korean context. The research concludes that individuals with a higher social dominance orientation tend to have lower acceptance of multiculturalism and are more likely to hold prejudiced attitudes toward outgroups. This finding suggests that SDO is a significant factor in integrating and adapting migrants into host societies and can lead to social conflict. The study implies that addressing SDO is crucial for fostering positive attitudes toward multiculturalism and reducing discrimination.
Numerical Investigation of the Influence of Foundation Pit Excavation on the Deformation of Underlying Tunnels Based on a Multi-Factor Orthogonal Test
Authors: Wang Qingshan , Jiang Minmin , Feng Dakuo , Lu Hailu , Yao Mengcheng , Yang Anlun , Cao Meng , Ma Zhongyang
Published: August 2024

The excavation of pits will induce the vertical displacement of tunnels and lead to engineering problems. The shape as well as size of a pit, and the complex spatial position relationship between the pit and tunnel will induce different deformation responses of tunnel structures; however, the degree to which each factor influences tunnel structure deformation is still unclear. This paper studied the impact of excavation on the deformation of tunnels via a combination of numerical simulation and orthogonal tests. The deformation of tunnels induced by excavation was studied using a numerical method, after which the sensitivity of influencing factors to tunnel deformation was studied by means of range and variance analyses through a four-factor and three-level orthogonal test. The results show that, for a foundation pit with a long side perpendicular to the tunnel longitude, the excavation has the least influence on tunnel deformation. Tunnel deformation increased with an increase in the excavation depth and decreased with an increase in tunnel–pit vertical and horizontal distance. As the plane shape of the foundation pit is 20 m × 45 m, the depth of excavation is 4 m, the pit tunnel vertical distance is 13 m, and the pit tunnel horizontal distance is 28 m, the tunnel has the least deformation. Based on the results of this study, the position relationship between the pit and the tunnel can be optimized in terms of design and construction, and the aim of controlling tunnel deformation can be achieved.
Experimental and Numerical Analysis of Flexural Properties and Mesoscopic Failure Mechanism of Single-Shell Lining Concrete
Authors: Wu Jian , Zou Haijun , He Nengfang , Xu Haiyan , Wang Zhijie , Rui Xiaohao
Published: August 2024

Despite ongoing research efforts aimed at understanding the structural response of steel fiber reinforced concrete (SFRC), there is very limited research on the failure characteristics and mesoscopic damage mechanism of SFRC, specifically when under flexure. In this study, a four-point bending test of plain concrete (PC) and SFRC with different fiber contents is carried out to investigate the flexural performance of SFRC. The crack propagation process, cracking load, ultimate load, and load-deflection curves of PC and SFRC beams are obtained. Additionally, the discrete element method (DEM), using PFC2D 6.0 software, is adopted to explore the mesoscopic properties of PC and SFRC. The test and simulation results of PC and SFRC beams are compared and analyzed, and some conclusions are drawn. The results show that steel fiber can efficiently improve the compressive strength of concrete when the fiber content is 30 kg/m3, and significantly improve the deformation resistance, crack resistance, and flexural capacity of concrete. The refined numerical models of PC and SFRC beams are established based on compressive strength and aggregate screening results. Through the numerical four-point bending test, the mesoscopic mechanical behaviors of models reveal the damage mechanism of SFRC. The horizontally distributed steel fibers bridge both sides of the cracks to resist crack development, and the vertically distributed steel fibers guide the cracks to the place with strong contact, thus resisting crack height development. The test results show that, for flexural properties, the optimal steel fiber content of SFRC is 31 kg/m3.
Hybrid Intelligent Model for Estimating the Cost of Huizhou Replica Traditional Vernacular Dwellings
Authors: Huang Jian , Huang Wei , Quan Wei , Xing Yandong
Published: August 2024

Amidst the backdrop of rural revitalization and cultural renaissance, there is a surge in the construction demand for replica traditional vernacular dwellings. Traditional cost estimation methods struggle to meet the need for rapid and precise estimation due to the complexity inherent in their construction. To address this challenge, this study aims to enhance the accuracy and efficiency of cost estimation by innovatively developing an Adaptive Self-Explanatory Convolutional Neural Network (ASCNN) model, tailored to meet the specific cost estimation needs of replica traditional vernacular dwellings in the Huizhou region. The ASCNN model employs a Random Forest model to filter key features, inputs these into the CNN for cost estimation, and utilizes Particle Swarm Optimization (PSO) to optimize parameters, thereby improving predictive accuracy. The decision-making process of the model is thoroughly interpreted through SHAP value analysis, ensuring credibility and transparency. During the construction of the ASCNN model, this study collected and analyzed bidding control price data from 98 replica traditional vernacular dwellings. The empirical results demonstrate that the ASCNN model exhibits outstanding predictive performance on the test set, with a Root Mean Square Error (RMSE) of 9828.06 yuan, a Mean Absolute Percentage Error (MAPE) of 0.6%, and a Coefficient of Determination (R2) as high as 0.989, confirming the model’s high predictive accuracy and strong generalization capability. Through SHAP value analysis, this study further identifies key factors such as floor plan layout, roof area, and column material coefficient that are central to cost prediction. The ASCNN model proposed in this study not only significantly improves the accuracy of cost estimation for Huizhou replica traditional vernacular dwellings, but also enhances its transparency and credibility through model interpretation methods, providing a reliable basis for related investment decisions. The findings of this study also offer valuable references and insights for rapid and precise cost estimation of replica buildings in other regions worldwide.
Effects of Wood Drying Temperatures on the Reduction in Mechanical Properties of Japanese Cedar (Cryptomeria japonica D. Don) Perpendicular to Grain
Authors: Toba Keisuke , Nakai Takahisa , Saito Hayato
Published: August 2024

Wood drying is often accompanied by changes in mechanical properties due to external thermal energy. This study examined the influences of drying temperature on the mechanical properties of Japanese cedar based on the partial compression properties and bending properties. Two types of longitudinal specimens with quarter grain on both lateral surfaces were prepared under green conditions, followed by subsequent drying under each drying temperature (20 °C, 40 °C, 60 °C, 80 °C, and 100 °C). Then, the partial compression and bending tests were performed using the respective specimens. Young’s modulus perpendicular to grain, yield stress, and compressive strength obtained by the partial compressive test were highest for wood dried at 20 °C. It was considered that the decrease in mechanical properties was attributed to the thermal influences during drying at 100 °C and other factors such as compressive residual stress and cell walls collapsing at lower temperatures. The strain energy suggested that the effects of drying temperature became apparent, especially in the plastic region during loading in the direction perpendicular to the wood fiber. Bending properties showed little influence on drying temperatures compared to the partial compressive properties, whereas the fractures found under the loading point of the wood dried at 100 °C suggested a reduction in resistance to shear forces.
Rental Housing Supply and Build-to-Rent Conundrum in Australia
Authors: Tiwari Piyush , Shukla Jyoti
Published: August 2024

Traditionally, rental housing has been supplied by a large pool of individual investors who own a few units and invest their savings, with some leverage, to take advantage of the tax regime in Australia. The last five years have seen the emergence of build-to-rent (BTR) units, which are supplied by investors who own a large number of units. The state of Victoria in Australia has the largest share of these projects. In the current market and regulatory environment, the financial viability of BTR projects is low for investors and hinges on the ability of units to be leased at higher than market rents. This paper examines four groups of levers, including those already being pursued by the building industry, that can be used to improve the financial viability of BTRs. These include: (i) revenue maximization, (ii) cost reduction (iii) fiscal and (iv) planning incentives. An archetypical BTR project which mimics current practice is considered, assumed to be in Docklands, Victoria, where several BTR projects are planned. For the robustness check, a feasibility analysis is conducted for a site in North Melbourne, a neighbourhood in Victoria with several BTR projects. The results indicate that for revenue maximization, the mix of unit types in a BTR project should be location-specific, as market preferences (and the characteristics of renters) determine the rent for different types of units that can be achieved. In a conventional BTR project development, where land is bought upfront and the project is developed, the mixed-use BTR (residential in combination with commercial) does not provide significant financial benefits though including small retail (3–4% of the net lettable area) may provide complementary benefits. Incurring large capital costs upfront and having the revenue stream spread over long periods reduces financial viability. While construction costs are more difficult to reduce, ways to reduce land costs could be through zoning land for BTR use, through mechanisms such as joint ventures with landowners, and land leasing. Exemptions on income, land tax, and rates (like CHPs) can result in a higher return for investors. A full GST refund, an incentive that industry is lobbying for, results in a similar IRR as an exemption on income, land tax and rates would offer. These results will assist in determining priorities for policies that are aimed at BTR.
Experimental and Analytical Study on Non-Damaged Reinforcement Method for Pipe Rack Steel Structures
Authors: Lee Jun-Seop , Shin Kyung-Jae , Woo Jong-Hun
Published: August 2024

Pipe racks are steel structures that support various pipes transporting materials in industrial complexes. The pipes on pipe racks may transport hazardous substances, which imposes limitations on their structural reinforcement. Therefore, this study aimed to propose methods for reinforcing the joints of pipe rack structures through non-welding and non-drilling techniques. The joints of pipe rack structures were connected by end plates. Initially, this study evaluated the capacity of existing end plates in a real-world experiment and conducted cyclic loading tests with two additional reinforcement methods to validate their performance. Finally, finite element analysis was conducted to explore additional variables that were not covered in the experiments, and the optimal reinforcement method that demonstrated the best performance was proposed.
Courtyards and Adjacent Spaces: Analyzing 26 Cases of Second-Order Proximity in Traditional Courtyard Houses of Yazd
Authors: Zolfagharkhani Mina , Foruzanmehr Ahmad-Reza
Published: August 2024

Iranian traditional residential architecture is renowned for its central-courtyard houses, which are admired for their grandeur. While the courtyards and nearby spaces receive considerable artistic and historical appreciation, those situated further away often receive less attention. These areas are typically considered auxiliary and less functional for living, thereby receiving limited attention in architectural discussions. This study examines 26 traditional central-courtyard houses to investigate how spaces located farther from the courtyard (‘second-order’) compare to those directly adjacent (‘first-order’). It challenges the assumption that distance from the courtyard correlates with reduced functionality. Surprisingly, the analysis identifies similar architectural characteristics in both second-order and first-order spaces, suggesting that distant areas may serve functional roles comparable to those nearer the courtyard.
Seismic Behavior of Composite Columns with High-Strength Concrete-Filled Steel Tube Flanges and Honeycomb Steel Webs Subjected to Freeze-Thaw Cycles
Authors: Ji Jing , Yang Hengfei , Jiang Liangqin , Yuan Chaoqing , Liu Yingchun , Zhang Yu , Hou Xiaomeng , Zhang Zhanbin , Chu Xuan
Published: August 2024

To investigate the seismic behavior of composite columns with high-strength concrete-filled steel tube flanges and honeycomb steel webs (STHHC) after being subjected to freeze-thaw cycles, 36 full-scale STHHCs were designed with the following main parameters: the shear span ratio (λs), the axial compression ratio (n0), the number of freeze-thaw cycles (Nc), the concrete cubic compression strength (fcu), and the steel ratio of the section (αs). Compared with existing experimental data, the validity of the finite element modeling method was verified. Parameter analysis was conducted on 36 full-scale STHHCs to obtain the hysteresis curve of the composite columns and to clarify the impact of the different parameters on the skeleton curve, the energy dissipation capacity, the stiffness degradation, and the ductility of the composite columns. The results showed that the hysteresis curves of all specimens after freeze-thaw cycles exhibited an ideal shuttle shape, reflecting that this kind of composite column has good energy dissipation ability and freeze-thaw resistance. The specimens’ maximum bulging deformation and maximum stress both occurred at the column base. Finally, the restoring force model of this kind of composite column is therefore established, and design recommendations based on these results are proposed.
Maintenance Approaches Using 3D Scanning Point Cloud Visualization, and BIM+ Data Management: A Case Study of Dahei Mountain Buildings
Authors: Zhan Jingyi , Zhang Tianyi , Huang Jinni , Li Ming
Published: August 2024

This study investigates the utilization of 3D laser scanning, GPS, BIM and GIS technologies for safeguarding historical wooden structures. As a case study, it focuses on two historic Chinese wooden buildings, the Guanyin Pavilion and Tangwang Palace, renowned for their exceptional historical significance and intricate timber architecture. The Guanyin Pavilion was subjected to high-precision modeling and tilt monitoring, which found that certain columns had a maximum tilt angle of 0.7892°. Additionally, a general tilt tendency was seen across various structural elements. The measurements from the point cloud data exhibited an error range of ±10 mm. However, the relative errors in smaller components approached 2.5%, which necessitated regular verification through human measurements. Using GIS and BIM technology in Tangwang Palace facilitated the meticulous documentation and dynamic supervision of architectural components, encompassing historical development and present state. The maintenance records revealed persistent problems with the roof tiles and wooden beams, exposing structural vulnerabilities. During various maintenance intervals, it was observed that the roof tiles were frequently loose and separated, indicating potential flaws in the design or materials used. The application of these modern technologies enhances the effectiveness and precision of conservation efforts and provides a robust scientific foundation for the continuous monitoring and study of cultural heritage.
Activation of Peroxymonosulfate by Fe, O Co-Embedded Biochar for the Degradation of Tetracycline: Performance and Mechanisms
Authors: Tao Yufang , Sun Shenshen , Hu Yunzhen , Gong Shijie , Bao Shiyun , Li Huihui , Zhang Xinyi , Yuan Zhe , Wu Xiaogang
Published: August 2024

In recent years, pollution stemming from pharmaceuticals has garnered widespread global concern, which exacerbates the ecological risk to both surface and groundwater. In the current study, Fe and O co-embedded biochar (Fe-O-BC) was synthesized through a one-step pyrolysis procedure with corncob serving as the feedstock. The fabricated Fe-O-BC catalysts were characterized by various techniques and were employed for the activation of peroxymonosulfate (PMS) to degrade tetracycline (TC). TC was rapidly degraded within 40 min, with a degradation rate of 0.1225 min−1, which was much higher than those for O-BC/PMS (0.0228 min−1) and Fe-BC/PMS (0.0271 min−1) under the same conditions. The effects of PMS dosage, Fe-O-BC dose, initial pH value and coexisting anions for TC degradation were investigated. Finally, the mechanism of TC oxidation in the catalytic system was implored through experiments of determining the active sites and radical scavenging experiments. The C-O-Fe bond in the catalyst was confirmed to be the dominant active sites accelerating TC degradation. Free diffused HO•, the surface-bound HO• and SO4•− and O2•−participated in the reaction and absorbed SO4•−, and HO• predominantly contributed to TC degradation. This study provides an efficient and green alternative for pharmaceutical wastewater treatment by Fe and O co-doped catalyst-induced heterogeneous process.
Catalytic Application of POSS–COF-[(Co(acetate)2] for Selective Reduction of Nitriles to Amines
Authors: Rubab Anosha , Sohail Manzar , Alshammari Riyadh H. , Nafady Ayman , Wahab Md. A. , Abdala Ahmed
Published: August 2024

We report the reticular synthesis and structural investigations through the spectroscopic analysis of a novel polyhedral oligomeric silsesquioxane (POSS)-modified framework, hereby ascribed as a catalyst for the selective reduction of aryl nitriles to amines. The integration of the unique features of the polyhedral oligomeric silsesquioxane with 2,2′-Bipyridine-4,4′-dicarboxaldehyde and subsequently coordination to cobalt acetate manifests a distinctive feature, which is a stable covalent bond between Co and the functionalized POSS, effectively preventing catalyst leaching. The cobalt acetate-modified POSS–COF, synthesized with this approach, underwent a comprehensive characterization employing various analytical techniques including FTIR, XRD, SEM, XPS, TGA, and 29Si NMR. This thorough characterization provides a detailed insight into the structural and chemical attributes of the catalyst. Our catalyst, with its exceptional catalytic efficiency in catalyzing reduction reactions compared to its homogeneous counterparts, and its distinctive three-dimensional metalated POSS system, shows outstanding catalytic performance attributed to its diverse coordination interactions with ligands. Moreover, this catalyst presents additional merits, such as facile recovery and recyclability, making it a promising candidate for sustainable and efficient catalytic processes and thus instilling hope for a greener future.
Exclusive Papers of the Editorial Board Members and Topical Advisory Panel Members of Catalysts in Section “Catalytic Materials”
Authors: Liotta Leonarda Francesca , Kumar Narendra , Hadjiivanov Konstantin Ivanov
Published: August 2024

The Special Issue “Exclusive Papers of the Editorial Board Members and Topical Advisory Panel Members of Catalysts in Section “Catalytic Materials” contains 14 peer-reviewed research articles and 1 review paper (Contributions 1–15), which broadly focus on the field of homogeneous and heterogeneous catalysis, with an emphasis on synthesis, physico-chemical characterizations, and applications in several environmental protection reactions, such as CO2 valorization, NOx SCR, removal of VOCs, photocatalysis [...]