bluuebunny/crossref_metadata_2025 huggingface dataset:
A Survey on Computational Methods in Drug Discovery for Neurodegenerative Diseases
Authors: Vicidomini Caterina , Fontanella Francesco , D’Alessandro Tiziana , Roviello Giovanni N.
Published: October 2024

Currently, the age structure of the world population is changing due to declining birth rates and increasing life expectancy. As a result, physicians worldwide have to treat an increasing number of age-related diseases, of which neurological disorders represent a significant part. In this context, there is an urgent need to discover new therapeutic approaches to counteract the effects of neurodegeneration on human health, and computational science can be of pivotal importance for more effective neurodrug discovery. The knowledge of the molecular structure of the receptors and other biomolecules involved in neurological pathogenesis facilitates the design of new molecules as potential drugs to be used in the fight against diseases of high social relevance such as dementia, Alzheimer’s disease (AD) and Parkinson’s disease (PD), to cite only a few. However, the absence of comprehensive guidelines regarding the strengths and weaknesses of alternative approaches creates a fragmented and disconnected field, resulting in missed opportunities to enhance performance and achieve successful applications. This review aims to summarize some of the most innovative strategies based on computational methods used for neurodrug development. In particular, recent applications and the state-of-the-art of molecular docking and artificial intelligence for ligand- and target-based approaches in novel drug design were reviewed, highlighting the crucial role of in silico methods in the context of neurodrug discovery for neurodegenerative diseases.
Increased Cardiometabolic Risk in Men with Hypoprolactinemia: A Pilot Study
Authors: Krysiak Robert , Kowalcze Karolina , Szkróbka Witold , Okopień Bogusław
Published: October 2024

Low prolactin levels in men predispose them to mood disturbances, sexual dysfunction, and diabetes. The purpose of the current study was to assess cardiometabolic risk in males with hypoprolactinemia. This prospective study included three age-matched groups of young and middle-aged men: individuals with cabergoline-induced hypoprolactinemia (n = 15), cabergoline-treated subjects with prolactin levels within the reference range (n = 20), and untreated men with normal prolactin levels (n = 31). In men with hypoprolactinemia, the cabergoline dose was reduced in order to normalize prolactin concentration. Anthropometric parameters, blood pressure, QRISK3 score; plasma concentrations of prolactin, glucose, insulin, lipids, uric acid, high-sensitivity C-reactive protein (hsCRP), fibrinogen, homocysteine, and testosterone; whole-blood levels of glycated hemoglobin (HbA1C); urinary albumin-to-creatinine ratio (UACR); and carotid intima–media thickness were assessed at baseline and six months later. Men with hypoprolactinemia were characterized by higher body mass index, fat content, waist circumference, systolic blood pressure, fasting and 2 h post-load glucose, HbA1C, HOMA1-IR, uric acid, hsCRP, fibrinogen, homocysteine, and UACR; by lower HDL cholesterol and testosterone; by greater intima–media thickness; and by a higher QRISK3 score than their peers with normal prolactin levels. There were no statistically significant differences in the measured parameters between both groups of men with normal prolactin levels. Normalization of prolactin concentration was accompanied by normalization of biochemical variables, systolic blood pressure, and QRISK3 score. Although cabergoline dose reduction did not cause statistically significant changes in the remaining anthropometric parameters and intima–media thickness, six months later, they did not differ from those observed in the remaining study groups. Our findings suggest that iatrogenic hypoprolactinemia is associated with increased cardiometabolic risk, which is reversible and resolves after the normalization of prolactin levels.
Chemical Profiling of Polar Lipids and the Polyphenolic Fraction of Commercial Italian Phaseolus Seeds by UHPLC-HRMS and Biological Evaluation
Authors: Samukha Vadym , Fantasma Francesca , D’Urso Gilda , Colarusso Ester , Schettino Anna , Marigliano Noemi , Chini Maria Giovanna , Saviano Gabriella , De Felice Vincenzo , Lauro Gianluigi , Maione Francesco , Bifulco Giuseppe , Casapullo Agostino , Iorizzi Maria
Published: October 2024

The common bean (Phaseolus vulgaris L.) is one of the oldest food crops in the world. In this study, the ultra-high-performance liquid chromatography high-resolution mass spectrometry (UHPLC-MS/MS) technique was used to characterize the polar lipid composition and polyphenolic fraction of five bean varieties commonly consumed in Italy: Cannellino (PVCA), Controne (PVCO), Borlotti (PVBO), Stregoni (PVST), and Vellutina (PVVE). Lipid content represents a minor fraction of the whole metabolome in dry beans, and little is known about their polar lipids, which could be potentially bioactive components. Thirty-three compounds were detected through UHPLC-MS/MS, including oxylipins, phospholipids, N-acyl glycerolipids, and several fatty acids. The dichloromethane extracts were subjected to principal component analysis (PCA), with the results showing greater differentiation for the Borlotti variety. Moreover, 27 components belonging to different polyphenol classes, such as phenolic acids, flavonoids, catechins, anthocyanins and their glycosides, and some saponins, were identified in the hydroalcoholic seed extracts. In addition, the mineral content of the beans was determined. Considering the high number of compounds in the five apolar seed extracts, all samples were examined to determine their in vitro inhibitory activity against the enzyme cyclooxygenase-2 (COX-2), which is inducible in inflammatory cells and mediates inflammatory responses. Only PVCO showed the best inhibition of the COX-2 enzyme with an IC50 = 31.15 ± 2.16 µg/mL. In light of these results, the potential anti-inflammatory properties of PVCO were evaluated in the LPS-stimulated murine macrophage cell line J774A.1. Herein, we demonstrate, for the first time, that PVCO at 30 µg/mL can significantly reduce the release of TNF-α, with a less significant anti-inflammatory effect being observed in terms of IL-6 release.
Zebrafish as a Model for Multiple Sclerosis
Authors: Maktabi Briana , Collins Abigail , Safee Raihaanah , Bouyer Jada , Wisner Alexander S. , Williams Frederick E. , Schiefer Isaac T.
Published: October 2024

Background: Zebrafish have become a key model organism in neuroscience research because of their unique advantages. Their genetic, anatomical, and physiological similarities to humans, coupled with their rapid development and transparent embryos, make them an excellent tool for investigating various aspects of neurobiology. They have specifically emerged as a valuable and versatile model organism in biomedical research, including the study of neurological disorders such as multiple sclerosis. Multiple sclerosis is a chronic autoimmune disease known to cause damage to the myelin sheath that protects the nerves in the brain and spinal cord. Objective: This review emphasizes the importance of continued research in both in vitro and in vivo models to advance our understanding of MS and develop effective treatments, ultimately improving the quality of life for those affected by this debilitating disease. Conclusions: Recent studies show the significance of zebrafish as a model organism for investigating demyelination and remyelination processes, providing new insights into MS pathology and potential therapies.
From Genomics to Metabolomics: Molecular Insights into Osteoporosis for Enhanced Diagnostic and Therapeutic Approaches
Authors: Li Qingmei , Wang Jihan , Zhao Congzhe
Published: October 2024

Osteoporosis (OP) is a prevalent skeletal disorder characterized by decreased bone mineral density (BMD) and increased fracture risk. The advancements in omics technologies—genomics, transcriptomics, proteomics, and metabolomics—have provided significant insights into the molecular mechanisms driving OP. These technologies offer critical perspectives on genetic predispositions, gene expression regulation, protein signatures, and metabolic alterations, enabling the identification of novel biomarkers for diagnosis and therapeutic targets. This review underscores the potential of these multi-omics approaches to bridge the gap between basic research and clinical applications, paving the way for precision medicine in OP management. By integrating these technologies, researchers can contribute to improved diagnostics, preventative strategies, and treatments for patients suffering from OP and related conditions.
Three-Dimensional Model Analysis Revealed Differential Cytotoxic Effects of the NK-92 Cell Line and Primary NK Cells on Breast and Ovarian Carcinoma Cell Lines Mediated by Variations in Receptor–Ligand Interactions and Soluble Factor Profiles
Authors: Alekseeva Nadezhda A. , Boyko Anna A. , Shevchenko Marina A. , Grechikhina Maria V. , Streltsova Maria A. , Alekseeva Ludmila G. , Sapozhnikov Alexander M. , Deyev Sergey M. , Kovalenko Elena I.
Published: October 2024

Background/objectives: The functional activity of a certain tumor determines the effectiveness of primary NK cells and NK-92 cell line-based cancer therapy; their therapeutic effectiveness against different tumors can vary. This work provides a direct simultaneous comparison of the cytotoxic effects of in vitro-activated peripheral NK (pNK) cells and NK-92 cells in spheroid models of BT-474, MCF7 and SKOV-3 carcinomas and uncovers the reasons for the differential effectiveness of NK cells against tumors. Methods: Tumor spheroids of similar size and shape, obtained from agarose molds, were incubated with NK-92 or pNK cells for 24 h. Tumor cell death was detected using flow cytometry or confocal microscopy. Cytokine production, granzyme B levels and NK cell degranulation analyses were performed, along with pNK and target-cell phenotypic characterization. Results: While NK-92 and pNK cells lysed BT-474 spheroids with comparably low efficiency, pNK cells were more capable of eliminating MCF7 and SKOV-3 spheroids than NK-92 cells were. The results of the functional and phenotypic analyses strongly support the participation of the NKG2D-NKG2DL pathway in pNK cell activation induced by the most sensitive cytotoxic attack on SKOV-3 spheroids, whereas the CX3CR1-CX3CL1 axis appears to be involved in the pNK reaction against MCF-7 spheroids. Conclusions: We provide a new approach for the preliminary identification of the most promising NK cell receptors that can alter the effectiveness of cancer therapy depending on the specific tumor type. Using this approach, NK-92 cells or pNK subsets can be selected for further accumulation and/or genetic modification to improve specificity and reactivity.
Mechanisms and Assessment of Genotoxicity of Metallic Engineered Nanomaterials in the Human Environment
Authors: Liu Benjamin M. , Hayes A. Wallace
Published: October 2024

Engineered nanomaterials (ENMs) have a broad array of applications in agriculture, engineering, manufacturing, and medicine. Decades of toxicology research have demonstrated that ENMs can cause genotoxic effects on bacteria, mammalian cells, and animals. Some metallic ENMs (MENMs), e.g., metal or metal oxide nanoparticles TiO2 and CuO, induce genotoxicity via direct DNA damage and/or reactive oxygen species-mediated indirect DNA damage. There are various physical features of MENMs that may play an important role in promoting their genotoxicity, for example, size and chemical composition. For a valid genotoxicity assessment of MENMs, general considerations should be given to various factors, including, but not limited to, NM characterization, sample preparation, dosing selection, NM cellular uptake, and metabolic activation. The recommended in vitro genotoxicity assays of MENMs include hprt gene mutation assay, chromosomal aberration assay, and micronucleus assay. However, there are still knowledge gaps in understanding the mechanisms underlying the genotoxicity of MENMs. There are also a variety of challenges in the utilization and interpretation of the genotoxicity assessment assays of MENMs. In this review article, we provide mechanistic insights into the genotoxicity of MENMs in the human environment. We review advances in applying new endpoints, biomarkers, and methods to the genotoxicity assessments of MENMs. The guidance of the United States, the United Kingdom, and the European Union on the genotoxicity assessments of MENMs is also discussed.
Apigenin as a Promising Agent for Enhancing Female Reproductive Function and Treating Associated Disorders
Authors: Sirotkin Alexander V. , Harrath Abdel Halim
Published: October 2024

Apigenin is an organic flavonoid abundant in some plants such as parsley, chamomile, or celery. Recently, it has been investigated for several of its pharmacological characteristics, such as its ability to act as an antioxidant, reduce inflammation, and inhibit the growth of cancer cells. The purpose of this review is to provide a summary of the existing knowledge regarding the effects of apigenin on female reproductive systems and its dysfunctions. Apigenin can influence reproductive processes by regulating multiple biological events, including oxidative processes, cell proliferation, apoptosis, cell renewal and viability, ovarian blood supply, and the release of reproductive hormones. It could stimulate ovarian folliculogenesis, as well as ovarian and embryonal cell proliferation and viability, which can lead to an increase in fertility and influence the release of reproductive hormones, which may exert its effects on female reproductive health. Furthermore, apigenin could inhibit the activities of ovarian cancer cells and alleviate the pathological changes in the female reproductive system caused by environmental pollutants, harmful medications, cancer, polycystic ovarian syndrome, ischemia, as well as endometriosis. Therefore, apigenin may have potential as a biostimulator for female reproductive processes and as a therapeutic agent for certain reproductive diseases.
Effects of Angiotensin-I-Converting Enzyme (ACE) Mutations Associated with Alzheimer’s Disease on Blood ACE Phenotype
Authors: Kryukova Olga V. , Islanov Igor O. , Zaklyazminskaya Elena V. , Korostin Dmitry O. , Belova Vera A. , Cheranev Valery V. , Repinskaia Zhanna A. , Tonevitskaya Svetlana A. , Petukhov Pavel A. , Dudek Steven M. , Kost Olga A. , Rebrikov Denis V. , Danilov Sergei M.
Published: October 2024

Backgrounds. Our recent analysis of 1200+ existing missense ACE mutations revealed that 400+ mutations are damaging and led us to hypothesize that carriers of heterozygous loss-of-function (LoF) ACE mutations (which result in low ACE levels) could be at risk for the development of late-onset Alzheimer’s disease (AD). Methods. Here, we quantified blood ACE levels in EDTA plasma from 41 subjects with 10 different heterozygous ACE mutations, as well as 33 controls, and estimated the effect of these mutations on ACE phenotype using a set of mAbs to ACE and two ACE substrates. Results. We found that relatively frequent (~1%) AD-associated ACE mutations in the N domain of ACE, Y215C, and G325R are truly damaging and likely transport-deficient, with the ACE levels in plasma at only ~50% of controls. Another AD-associated ACE mutation, R1250Q, in the cytoplasmic tail, did not cause a decrease in ACE and likely did not affect surface ACE expression. We have also developed a method to identify patients with anti-catalytic mutations in the N domain. These mutations may result in reduced degradation of amyloid beta peptide Aβ42, an important component for amyloid deposition. Consequently, these could pose a risk factor for the development of AD. Conclusions. Therefore, a systematic analysis of blood ACE levels in patients with all ACE mutations has the potential to identify individuals at an increased risk of late-onset AD. These individuals may benefit from future preventive or therapeutic interventions involving a combination of chemical and pharmacological chaperones, as well as proteasome inhibitors, aiming to enhance ACE protein traffic. This approach has been previously demonstrated in our cell model of the transport-deficient ACE mutation Q1069R.
Demographic Characteristics and Survival in Young-Onset Colorectal Neuroendocrine Neoplasms
Authors: Vadehra Deepak , Sonti Sahithi , Siromoni Beas , Ramesh Mrinalini , Mukhopadhyay Debduti , Groman Adrienne , Iyer Renuka , Mukherjee Sarbajit
Published: October 2024

Background/Objectives: Recent epidemiological studies have revealed an upward trend in young-onset colorectal cancer (YOCRC) overall, whereas specific data on young-onset colorectal neuroendocrine neoplasms (YONEN) remain limited. This study investigated the demographic characteristics and survival trends in YONEN and compared these with those of young-onset colorectal adenocarcinoma (YOADC), the most common histologic subtype of YOCRC. Methods: A retrospective analysis was conducted from 2000 to 2019 using the Surveillance, Epidemiology, and End Results (SEER) database. Survival outcomes were assessed using univariate and multivariable Cox proportional models, with demographic differences evaluated via Wilcoxon rank sum and Chi-square tests. Results: Out of 61,705 patients aged 20–49 with colorectal cancer, 8% had NEN, and 92% had adenocarcinoma. The YONEN cohort had a higher proportion of Black patients and a lower proportion of White patients than the YOADC cohort (21% vs. 13% and 44% vs. 57%, respectively). NEN was more commonly found in the rectum (79%), and adenocarcinoma was mostly colonic (57%) in origin. YONEN patients had better survival than YOADC patients. Multivariate analysis in YONEN patients revealed that Hispanic patients had better overall survival compared to White patients (HR 0.67, 95% CI 0.47–0.95, p = 0.024). Conclusions: Racial disparities should be investigated further to aid in policymaking and targeted interventions.
A Pneumatic Soft Exoskeleton System Based on Segmented Composite Proprioceptive Bending Actuators for Hand Rehabilitation
Authors: Li Kai , Zhang Daohui , Chu Yaqi , Zhao Xingang , Ren Shuheng , Hou Xudong
Published: October 2024

Soft pneumatic actuators/robotics have received significant interest in the medical and health fields, due to their intrinsic elasticity and simple control strategies for enabling desired interactions. However, current soft hand pneumatic exoskeletons often exhibit uniform deformation, mismatch the profile of the interacting objects, and seldom quantify the assistive effects during activities of daily life (ADL), such as extension angle and predicted joint stiffness. The lack of quantification poses challenges to the effective and sustainable advancement of rehabilitation technology. This paper introduces the design, modeling, and testing of pneumatic bioinspired segmented composite proprioceptive bending actuators (SCPBAs) for hand rehabilitation in ADL tasks. Inspired by human finger anatomy, the actuator’s soft-joint–rigid-bone segmented structure provides a superior fit compared to continuous structures in traditional fiber-reinforced actuators (FRAs). A quasi-static model is established to predict the bending angles based on geometric parameters. Quantitative evaluations of predicted joint stiffness and extension angle utilizing proprioceptive bending are performed. Additionally, a soft under-actuated hand exoskeleton equipped with SCPBAs demonstrates their potential in ADL rehabilitation scenarios.
Improved Biocompatibility in Laser-Polished Implants
Authors: Olawumi Mattew A. , Omigbodun Francis T. , Oladapo Bankole I.
Published: October 2024

This research aims to enhance the surface quality, mechanical properties, and biocompatibility of PEEK (polyether–ether–ketone) biomimetic dental implants through laser polishing. The objective is to improve osseointegration and implant durability by reducing surface roughness, increasing hydrophilicity, and enhancing mechanical strength. The methodology involved fabricating PEEK implants via FDM and applying laser polishing. The significant findings showed a 66.7% reduction in surface roughness, Ra reduced from 2.4 µm to 0.8 µm, and a 25.3% improvement in hydrophilicity, water contact angle decreased from 87° to 65°. Mechanical tests revealed a 6.3% increase in tensile strength (96 MPa to 102 MPa) and a 50% improvement in fatigue resistance (100,000 to 150,000 cycles). The strength analysis result showed a 10% increase in stiffness storage modulus from 1400 MPa to 1500 MPa. Error analysis showed a standard deviation of ±3% across all tests. In conclusion, laser polishing significantly improves the surface, mechanical, and biological performance of PEEK implants, making it a promising approach for advancing biomimetic dental implant technology.
Ru@UiO-66-NH2 MOFs-Based Dual Emission Ratiometric Fluorescence for Sensitive Sensing of Arginine
Authors: Fan Jiawen , Qi Junjie , Li Jingkun , Pi Fuwei
Published: October 2024

Arginine has been widely applied in the food industry as coloring agents, flavoring agents, and nutritional fortifiers. It is also one of the major components of feed additives. Currently, methods for the highly selective detection of arginine remain absent. For accurate and sensitive detection of L−arginine, a novel ratiometric fluorescence assay based on Ru@UiO-66-NH2 was developed and demonstrated in this study. Under optimized detection conditions, the limit of detection (LOD) of this assay for L-arginine was 2.32 μM, which is superior to most assays reported to date. Meanwhile, Ru@UiO-66-NH2 showed good stability within 30 days, demonstrating the wide applicability of the proposed assay. The spike-and-recovery rates of the proposed assay for L-arginine in real samples (e.g., tea, grape juice, and serum) were 84.27–113.09%. Overall, the proposed assay showed high sensitivity, good reproducibility, and excellent stability in the detection of L-arginine in both buffer and real samples.
Blunted Cortisol Awakening Response Is Associated with External Attribution Bias Among Individuals with Personality Disorders
Authors: Bogudzińska Bogna , Maciaszek Julian , Stańczykiewicz Bartłomiej , Bielawski Tomasz , Dybek Agnieszka , Alejnikowa Julia , Pawłowski Tomasz , Misiak Błażej
Published: October 2024

Background/Objectives: The dysregulation of the hypothalamic–pituitary–adrenal (HPA) axis has been associated with various mental disorders. One of the most commonly described parameters of HPA axis functioning is the cortisol awakening response (CAR). To date, few studies have been conducted on the relationship between personality disorders and CAR. The present study aimed to compare the CAR between individuals with personality disorders and healthy controls. Moreover, the study aimed to assess the association of CAR with cognitive biases and psychopathological symptoms in people with personality disorders. Methods: A total of 43 individuals with personality disorders and 45 healthy controls were enrolled. Participants completed questionnaires measuring the severity of depressive symptoms, anxiety, cognitive biases, and psychotic-like experiences. Cortisol levels were measured in four morning saliva samples: immediately after awakening, and after 15, 30, and 45 min. Results: A significantly lower CAR was found among individuals with personality disorders, even after adjustment for age, sex, and the level of education. However, the receiver operating characteristic (ROC) curve analysis showed a relatively low area under the curve (AUC = 0.362). Furthermore, a significant negative correlation was observed between the CAR and the level of external attribution bias among individuals with personality disorders. No significant associations of the CAR with psychopathological symptoms and other cognitive biases were observed. Conclusions: Findings from this study indicate that the HPA axis activity might be altered in personality disorders. However, the clinical utility of this observation needs further studies in larger samples. External attribution might be related to the HPA axis alterations in this population.
Metacognition-Associated Factors in Physical and Occupational Therapy Students: A Cross-Sectional Study
Authors: Taniguchi Keisuke , Maki Naoki , Sakamoto Harumi , Inuta Tomonari , Kim Bokun , Oh Sechang , Mayers Thomas
Published: October 2024

Background/Objectives: Supporting the mental well-being of students through their educational journey is of vital importance. The objective of this study was to investigate the relationship between metacognition, personality traits, and various factors affecting mental health in a cohort of physical therapy (PT) and occupational therapy (OT) students. Methods: This cross-sectional observational study involved a self-administered questionnaire (distributed in October to November 2020) that gathered demographic information and included six scales measuring personality characteristics, health literacy, self-management skills, exercise habits (benefits and barriers), cognitive thinking, and cognitive deliberateness and impulsivity. Results: A cohort of 195 PT and OT students participated in the study. The findings revealed significant associations between metacognition and personality, particularly the association between low cognitive self-confidence and high emotional instability. This link suggests that students who struggle with cognitive self-confidence may also experience greater emotional instability, highlighting a need for targeted mental health support. Additionally, health literacy was negatively correlated with anxiety, while metacognition was positively correlated with perceived exercise benefits. Conclusions: This study highlights the importance of individualized metacognitive approaches to support students’ mental well-being. Interventions should focus on strengthening cognitive self-confidence through methods such as resilience training, cognitive restructuring, and mindfulness practices to help manage emotional instability. Furthermore, promoting physical activity, particularly among female students, and incorporating gender-specific strategies could enhance mental health outcomes.
Family Functioning and Cohesion Scale: Validation of a Short Instrument for the Assessment of Intrafamily Relations
Authors: Tsoutsi Vagioula , Dikeos Dimitris
Published: October 2024

Most available scales for assessing family relationships are lengthy. Our aim was to develop and validate the Family Functioning and Cohesion Scale (FFCS), a self-reported, short instrument consisting of 14 items. The FFCS was validated through its administration to 481 subjects via an online platform. Cronbach’s alpha was 0.85 (ranging from 0.83 to 0.86 if any one item was deleted), signifying high internal consistency. The scale can be considered as a sole factor based on its high consistency, while factor analysis produced three factors corresponding to “communication”, “anger/resentment/aggression”, and “values and beliefs”. The test–retest reliability correlation coefficient was found to be 0.88 at a 2-week interval. Regarding external validity, the correlation coefficient of the FFCS with the general functioning subscale of the McMaster Family Assessment Device (FAD) was 0.83. The high measures of consistency, reliability, and validity of the FFCS, combined with its short length, make it a most valuable tool for use by researchers as well as by professionals dealing with families in psychiatry, psychology, social work, or other related fields.
Exploring the Determinants of Chinese Tourists’ Shopping Behavior During Shopping Tourism in Korea
Authors: Dong Qizhen , Ling Shuai , Zheng Can , Hu Yan , Lin Feng , Lee Seul Ki
Published: October 2024

This study aimed to examine the factors influencing Chinese tourists’ shopping behavior during shopping tourism in Korea using a theoretical framework based on the modified theory of planned behavior (TPB). A quantitative research method was used; the questionnaire for this study was posted on Wenjuanxing for data collection and 269 valid questionnaires were analyzed in September 2024 using partial least-squares structural equation modeling (PLS-SEM). The results of analyzing the 269 questionnaires showed that attitude, conformity, perceived behavioral control, and perceived quality of goods influenced shopping intention. However, face consciousness did not affect shopping intentions. Additionally, Chinese tourists’ shopping intentions influenced their shopping behavior during shopping tourism in Korea. The results of this study reveal the potential mechanisms of the influence of shopping intentions with conformity (a factor of Chinese-subjective norms) and the perceived quality of goods (a new factor) in shopping behavior, and they provide theoretical guidance and appropriate marketing strategies for companies in the Korean tourism field.
Luxury or Cultural Tourism Activities? The Role of Narcissistic Personality Traits and Travel-Related Motivations
Authors: Besser Avi , Abraham Villy , Zeigler-Hill Virgil
Published: October 2024

This study aimed to examine the role of travel-related motivations and preferences for activities (such as learning about local culture, relaxation and entertainment, status and social recognition, escape and curiosity, and experience) in the relationship between narcissistic personality traits and the preference for luxury tourism versus cultural tourism. A sample of 1342 Israeli community members was analyzed. The methodology utilized parallel mediation analyses to assess how different forms of narcissism (extraverted, antagonistic, neurotic, and communal) were associated with the desire for luxury tourism over cultural tourism, as mediated by various travel-related motivations. The results indicated that narcissistic personality traits were generally associated with a preference for luxury tourism, primarily through indirect associations via travel motivations such as relaxation and entertainment, status and social recognition, and experience. The conclusion highlights the implications for understanding how specific travel-related motivations influence tourism preferences among individuals with varying levels of narcissistic traits, suggesting that tourism management strategies could benefit from a nuanced approach to personality in marketing.
Experimental Study on Seismic Performance Evaluation of a Multi-Story Steel Building Model with Rolling-Type Seismic Base Isolation
Authors: Öztürk Hakan , Çelebi Erkan , Kaya Cemalettin
Published: October 2024

Critical structures such as hospitals, high-precision manufacturing facilities, telecommunications centers, and fire stations, especially, need to maintain their functionality even during severe earthquakes. In this sense, seismic isolation technology serves as a vital design method for preserving their functionality. Seismic isolators, also known as earthquake isolation systems, are used to reduce the effects of earthquakes on buildings by isolating them from the ground they are located on. By ensuring that less acceleration and force demand is transmitted to the superstructure, both the building and the equipment and the devices in the building are prevented from being damaged by earthquakes. This experimental study aims to conduct vibration tests on a small-scale multi-story steel-building model equipped with a specially designed rolling-type seismic base isolation system. The relationship between the test model and the prototype was achieved by frequency simulation. The tests will be performed on a shake table under six different earthquake accelerations to examine the model’s dynamic behavior. The primary goal is to evaluate the isolation performance of the rolling-type seismic base isolator under seismic loads, with a focus on recording the vibrations at the top of the test building. It has been observed that the isolator placed at the base of the building significantly reduced the peak acceleration and displacement values of the floor motion. Under the most severe earthquake record applied to the shake table, the acceleration at the top of the building with the isolator was found to be reduced by approximately 50%, compared to the non-isolated case.
Ontology-Guided Generation of Mechanized Construction Plan for Power Grid Construction Project
Authors: Gao Xiaohui , Li Yinling , Wang Ruiwu , Ding Xueqing , Wang Xin , Xu Xin
Published: October 2024

Mechanized construction is being fully implemented in the electric power infrastructure domain to ensure construction safety, enhance project quality, and improve efficiency. Traditional methods of designing mechanized construction plans are often inefficient due to their labor-intensive processes and heavy reliance on human expertise. This study introduces and evaluates an ontology-guided system designed to automate mechanized construction planning for power grid projects. The developed ontology effectively models domain-specific knowledge, enabling the semantic integration of data from various sources. By leveraging SPARQL queries, the ontology-guided system incorporates knowledge reasoning capabilities that facilitate the automated selection of construction equipment and the generation of comprehensive construction plans. A prototype system incorporating an ontology-guided mechanism has been developed, showcasing marked enhancements in efficiency and accuracy over traditional manual methods, as evidenced by case studies and expert evaluations. The research results emphasize the potential of ontology-guided systems in innovating architectural planning, providing an extensible and standardized approach. Expert evaluation indicates that the system achieves 71.38% effectiveness in generating mechanized construction plans.
Forecasting Construction Cost Indices: Methods, Trends, and Influential Factors
Authors: AlTalhoni Amr , Liu Hexu , Abudayyeh Osama
Published: October 2024

The Construction Cost Index (CCI) is an important tool that is widely used in construction cost management to monitor cost fluctuations over time. Numerous studies have been conducted on CCI development and forecasting models, including time series, artificial intelligence, machine learning, and hybrid models. Therefore, this study seeks to reveal the complexity of CCI forecasting and identify the leading indicators, trends, and techniques for CCI prediction. A bibliometric analysis was conducted to explore the landscape in the CCI literature, focusing on co-occurrence, co-authorship, and citation analysis. These analyses revealed the frequent keywords, the most cited authors and documents, and the most productive countries. The research topics and clusters in the CCI forecasting process were presented, and directions for future research were suggested to enhance the prediction models. A case study was conducted to demonstrate the practical application of a forecasting model to validate its prediction reliability. Furthermore, this study emphasizes the need to integrate advanced technologies and sustainable practices into future CCI forecasting models. The findings are useful in enhancing the knowledge of CCI prediction techniques and serve as a base for future research in construction cost estimation.
Construction of Energy Consumption Model in Asphalt Mixture Production Stage Based on Field Measurements
Authors: Wang Chunhong , Zhang Yubin , Fang Xiaoli , Hu Tao , Suo Zhi , Gong Chen , Li Jiahe
Published: October 2024

To better construct an energy consumption model for the asphalt mixture production stage, this study divides the production process into four phases: aggregate dust removal, aggregate drying, asphalt heating, and mixture blending. Utilizing measured data from various regions in Anhui Province, the model considers factors such as season, mixture type, and energy consumption type. The study quantitatively compares and analyzes the energy consumption results obtained from three calculation methods: the theoretical method, the quota method, and the energy consumption model method. The results indicate that the total energy consumption shares of the aggregate dust removal, aggregate drying, asphalt heating, and mixture blending phases are 4.23%, 69.50%, 17.75%, and 8.52%, respectively. The primary energy consumption during the asphalt mixture production stage is concentrated in the aggregate drying and asphalt heating phases. The energy consumption model based on on-site measurements effectively reflects the actual energy consumption levels during the asphalt mixture production stage. Moreover, the total energy consumption calculated by the three methods follows the order quota method > energy consumption model method > theoretical method. By constructing an energy consumption model based on measured data, it is possible to more accurately assess the energy usage during the asphalt mixture production process. This helps optimize production techniques, reduce energy consumption and carbon emissions, and provide a scientific basis for sustainable road construction.
Systematic Review of Quantitative Risk Quantification Methods in Construction Accidents
Authors: Kumi Louis , Jeong Jaewook , Jeong Jaemin
Published: October 2024

Construction accidents pose significant risks to workers and the public, affecting industry productivity and reputation. While several reviews have discussed risk assessment methods, recent advancements in artificial intelligence (AI), big data analytics, and real-time decision support systems have created a need for an updated synthesis of the quantitative methodologies applied in construction safety. This study systematically reviews the literature from the past decade, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A thorough search identified studies utilizing statistical analysis, mathematical modeling, simulation, and artificial intelligence (AI). These methods were categorized and analyzed based on their effectiveness and limitations. Statistical approaches, such as correlation analysis, examined relationships between variables, while mathematical models, like factor analysis, quantified risk factors. Simulation methods, such as Monte Carlo simulations, explored risk dynamics and AI techniques, including machine learning, enhanced predictive modeling, and decision making in construction safety. This review highlighted the strengths of handling large datasets and improving accuracy, but also noted challenges like data quality and methodological limitations. Future research directions are suggested to address these gaps. This study contributes to construction safety management by offering an overview of best practices and opportunities for advancing quantitative risk assessment methodologies.
A Method for Analyzing Transverse Stress in Link Slabs of Simply Supported Steel–Concrete Composite Bridges
Authors: Du Wei , Hu Zhijian , Zhou Zhi
Published: October 2024

The cracking of link slabs in jointless bridges presents significant challenges due to the complexity of their stress conditions. This study focused on analyzing the transverse stresses in link slabs of jointless steel–concrete composite bridges. Utilizing linear elasticity theory and partial differential equations of plates, the deflection and stress distribution functions for the link slabs were determined. The validity of these analytical solutions was confirmed through comparisons with finite element models and load tests. Results from both the load tests and the finite element model indicate that the upper face of the girder end link slabs experiences maximum tensile stresses in both transverse and longitudinal directions. The stress values obtained from the analytical method align well with these results, showing that the total stress, when considering transverse stresses, reaches 107% of the longitudinal stresses alone. Furthermore, a 40% reduction in longitudinal girder spacing or a 50% increase in girder end length can lead to link slab stresses of 128% and 145% of the longitudinal stresses, respectively. This finding suggests that even loads lower than those designed based solely on longitudinal stresses can result in cracking. Therefore, it is recommended that transverse stresses be considered in the design of link slabs for jointless bridges. Relying solely on conventional longitudinal stress analyses may underestimate actual stress conditions and contribute to the formation of cracks.
Research on a Multi-Scale Clustering Method for Buildings Taking into Account Visual Cognition
Authors: Sun Di , Shen Tao , Yang Xincheng , Huo Liang , Kong Fulu
Published: October 2024

Building clustering is a key problem that needs to be solved in the realization of the automatic synthesis of large-scale maps. The selection of different feature and spatial distance calculation methods has a great impact on the clustering results, and the need to manually select appropriate feature and distance metrics leads to the problem of not being able to fully consider the complexity and diversity of buildings. In this paper, we propose a multi-scale clustering method for buildings that takes visual perception into account using the Gestalt principle to simulate how humans classify buildings through visual perception. Moreover, by analyzing the spatial features and texture attributes of buildings, a visual distance is designed to be used as a condition for building classification to assess the similarity between buildings, solving the complexity of manually selecting feature vectors and spatial distances and realizing the adaptive selection of features. Through experimental validation at different scales (macro, meso and micro), the present method is able to achieve the accurate clustering of buildings, and a frequency threshold of 91% is found, which is able to determine the optimal clustering results. The experimental results show that the proposed method can not only fully consider the complexity and diversity of buildings but also effectively support the understanding and analysis of urban spatial structure and provide a scientific decision-making basis for urban planning and management.
Experimental and Numerical Research on Fracture Properties of Mass Concrete Under Quasi-Static and Dynamic Loading
Authors: Zhang Yazhou , Zhong Hong , Li Deyu , Li Chunlei , Wang Haibo , Li Zhiyuan , Dong Wei
Published: October 2024

The dynamic fracture behavior of mass concrete is crucial to the dynamic analysis and safety evaluation of concrete dams subjected to strong earthquake shocks in the framework of fracture mechanics. In the presented research, cylindrical specimens with a ring of preset cracks were cast by three-graded mass concrete, and direct tension tests were performed with two loading rates considered, i.e., 10−6/s for quasi-static loading and 10−3/s for dynamic loading. The load–crack mouth opening displacement (P-CMOD) curves were obtained, from which the fracture toughness, fracture energy, and characteristic length of the mass concrete were obtained. In this process, the influence of the eccentricity in the tests was compensated by the numerical modeling of the tests. Next, the crack propagation process of the mass concrete was modeled using the extended finite element method. From the test results, it is found that, under quasi-static loading, the crack generally propagates along the interface between the aggregates and the matrix, while, under dynamic loading, more aggregates are fractured. As compared to the case of quasi-static loading, the energy absorption capacity, fracture energy, and fracture toughness increase for dynamic loading, while the characteristic length decreases. Moreover, the numerically predicted P-CMOD curves agree reasonably well with the experimental measurements.
Numerical Study on the Operational Ventilation Patterns of Alternative Jet Fans in Curved Tunnels
Authors: Wu Li-Ming , Li Hao , Liu Qi , Wang Zi-Jian , Gao Feng , Zhang Bin , Luo Wen-Jie
Published: October 2024

In tunnel operation ventilation systems, the arrangement of jet fans plays a decisive role in ensuring ventilation efficiency. Curved tunnels, due to their unique radius of curvature, exhibit significant differences in fan installation parameters and jet flow field distribution compared to traditional straight-line tunnels. In order to investigate the distinct characteristics, this research utilized computational fluid dynamics (CFD) simulation methods to analyze the ventilation performance of both an innovative, adjustable jet fan system and conventional jet fans within the context of curved tunnel configurations. The findings reveal that by adjusting the horizontal deflection angle of the novel jet fan, the flow field distribution can be effectively optimized, and the jet effect can be enhanced, thereby improving ventilation efficiency. Compared to traditional jet fans, the novel fan demonstrates a significantly greater capability in flow field optimization, especially when its horizontal deflection angle is adjusted, showing a trend where the jet effect initially increases and then decreases, with the longitudinal impact range being adjustable within a range of 5 m to 25 m.
Shotcreting with Cement–Sand Mixtures Under the Influence of an Electrostatic Field
Authors: Mishchenko Valery , Lapidus Azariy , Topchiy Dmitriy , Kazakov Dmitriy
Published: October 2024

One of the primary and still unresolved problems of shotcreting is the high rebound rate of the material, which reaches over 20% in “dry” shotcreting. There is a practical need to improve the very principle of shotcreting and methods for optimizing the movement of torch particles. Materials and Methods: The purpose of this study was to justify the use of the electrostatic treatment of cement–sand mortar in the process of performing shotcreting works using the dry method. It was proposed that the binder and then the finished mixture be ionized step-by-step (by passing it through a non-uniform electrostatic field formed by corona electrodes). As a result, the shotcrete will be held on the fence. Results: Analysis of the modeling results shows that the presence of an electrostatic field slows down the particle and reduces the kinetic energy of the rebound. After theoretical calculations, experiments were conducted, during which, the torch size and the plant productivity were changed, and the rebound mass was weighed. After application to the surface, prototypes were formed and subjected to strength tests. It was determined that gunning in a sharply non-uniform electric field demonstrates its practical and economic efficiency due to the uniform deposition of charged particles on the treated surface and low power consumption. Conclusions: It was established that the electrostatic treatment of a cement–sand mixture during application allows concrete particles to be retained on the shotcrete surface, the rebound of the material to be reduced and the strength of concrete to be increased.