bluuebunny/crossref_metadata_2025 huggingface dataset:
Heritage in Transition: Vernacular Architectural Patterns in Rural Iran
Authors: Ebrahimbaysalami Omid , Ren Xiang
Published: June 2024

The transition from vernacular architectural patterns to current architecture in rural Iran has led to various socio-cultural and environmental problems in the last decade. This study explores the nature of this transition, which has been overlooked in the studies of vernacular architecture in Iran. Furthermore, this article contributes to the ongoing academic debate on the decline and transformation of vernacular architectural patterns in the context of modernization. It analyzes the forces behind the decline and rise of vernacular settlements in a case study area, the Salami region of the Khaf district in Iran’s Khorasan Razavi province, by exploring how it is possible to reinterpret vernacular architectural patterns in the context of current architecture to utilize the new developments in rural Iran not as an obstacle but as an opportunity for improvement. To this end, this article explores vernacular architectural patterns in a case study area in Iran, supported by socio-cultural aspects and the environmental conditions of the region. This study conducts architectural and anthropological fieldwork on three vernacular houses in a case study area and uses participant observation and informal interview methods to understand the people and their interaction with their built environment. The findings of this article thus contradict previous studies on learning from vernacular architecture by shedding light on vernacular architecture in Iran as a system by demonstrating the inextricable links between different vernacular architectural patterns. Therefore, this study argues that to draw lessons from vernacular architectural patterns for current architecture in rural Iran, it is necessary to limit its communication concerning people’s contemporary needs but not to neglect this communication completely.
Evaluating Crowdsourcing Applications with Map-Based Storytelling Capabilities in Cultural Heritage
Authors: Ziku Mariana , Kotis Konstantinos , Pavlogeorgatos Gerasimos , Kavakli Evangelia , Zeeri Chara , Caridakis George
Published: June 2024

Crowdsourcing applications that integrate storytelling and geotagging capabilities offer new avenues for engaging the public in cultural heritage. However, standardised evaluation frameworks are lacking. This paper presents an applied evaluation methodology involving the analysis of relevant web-based tools. Towards this goal, this paper presents the development of crowdsourcing applications using, as a case study, the collection of myths and legends associated with the monumental heritage site of the Palace of the Grand Master of the Knights of Rhodes in Greece. Additionally, the paper presents an evaluation conducted through a criteria-based approach and user-based survey. The study reviews the concepts of crowdsourcing and digital storytelling within digital heritage, along with current concepts of living heritage and folklore, and examines relevant initiatives. The evaluation follows a four-stage methodology: (i) initial web-based tool selection based on the minimum requirements of web compatibility, crowdsourced data display, and map-based storytelling capability; (ii) application development using the selected web-based tools; (iii) a five-criteria assessment, based on the factors of open access, usability/tool support, participatory content/story creation, metrics provision and metadata model usage; and (iv) a crowd-based survey, indicating the most effective option. Findings from 100 respondents reveal limited exposure to participatory storytelling applications but interest in contributing content. Social media and influential figures serve as key channels for promoting crowdsourcing open calls. The results highlight gaps in understanding user expectations and perceptions, suggesting future research for gaining insights into engagement rates.
A Statistical Analysis of GRE/GMAT Data for Admission to Master’s Degree Programs
Authors: Li Kuiyuan , Cohen Achraf
Published: June 2024

In this paper, we investigate the waiving of GRE/GMAT for admission to master’s degree programs in a state university in Florida, USA. Standardized tests, such as GRE/GMAT, were required for admission to the master’s degree programs in 2019/2020, waived in 2020/2021, and removed or modified in 2021/2022. We analyzed the application, enrollment, and performance data to assess the impact of these changes. The data show that the number of applicants and enrolled students exhibit an upward trend from 2019 to 2021. The undergraduate GPA of new applicants who did not submit the GRE in 2021 tends to be statistically significantly higher than for those who did submit the GRE in 2019 (p < 0.001). The new students’ first-semester graduate GPA in 2021 (no GRE requirement) tends also to be statistically significantly higher than the new students’ first-semester graduate GPA in 2019 (GRE requirement) (p < 0.01). The study employed random forest feature importance using the Gini index to analyze the predictive power of GRE and undergraduate GPA for forecasting first-semester graduate GPA. The results show that undergraduate GPA is a more significant factor than GRE. Overall, the study’s statistical evidence indicates that waiving GRE/GMAT requirements for master’s degree programs did not affect applicants’ performance, as measured by their undergraduate GPA, nor did it lead to a decline in student performance, as measured by first-semester graduate GPA.
Bullying and Cyberbullying in School: Rapid Review on the Roles of Gratitude, Forgiveness, and Self-Regulation
Authors: Oliveira Wanderlei Abadio de , Esteca Antonio Marcos Neves , Wechsler Solange Muglia , Menesini Ersilia
Published: June 2024

This study aims to assist decision-making in anti-bullying interventions by highlighting the importance of positive factors such as gratitude, forgiveness, and self-regulation in mitigating the negative impacts of bullying/cyberbullying. The objective was to examine and synthesize available evidence on the impact of gratitude, forgiveness, and self-regulation practices in the school context regarding bullying/cyberbullying phenomena. Three databases were consulted (Web of Science, Scopus, and Scielo), and the results include 14 articles. The three character strengths were associated with psychological well-being, life and school satisfaction, improved mental health, increased likelihood of engaging in pro-social behavior, and reduced involvement in bullying/cyberbullying situations. These strengths have the potential to enhance overall well-being and decrease risk behaviors, leading to more positive outcomes in experiences of violence. These results underscore the importance of considering students’ individual strengths and the possible interventions to promote healthy school environments.
Predicting Future Birth Rates with the Use of an Adaptive Machine Learning Algorithm: A Forecasting Experiment for Scotland
Authors: Tzitiridou-Chatzopoulou Maria , Zournatzidou Georgia , Kourakos Michael
Published: June 2024

The total fertility rate is influenced over an extended period of time by shifts in population socioeconomic characteristics and attitudes and values. However, it may be impacted by macroeconomic trends in the short term, although these effects are likely to be minimal when fertility is low. With the objective of forecasting monthly deliveries, this study concentrates on the analysis of registered births in Scotland. Through this approach, we examine the significance of precisely forecasting fertility trends, which can subsequently aid in the anticipation of demand in diverse sectors by allowing policymakers to anticipate changes in population dynamics and customize policies to tackle emerging demographic challenges. Consequently, this has implications for fiscal stability, national economic accounts and the environment. In conducting our analysis, we incorporated non-linear machine learning methods alongside traditional statistical approaches to forecast monthly births in an out-of-sample exercise that occurs one step in advance. The outcomes underscore the efficacy of machine learning in generating precise predictions within this particular domain. In sum, this research will comprehensively demonstrate a cutting-edge model of machine learning that utilizes several attributes to assist in clinical decision-making, predict potential complications during pregnancy and choose the appropriate delivery method, as well as help in medical diagnosis and treatment.
Impact of Long Working Hours on Mental Health Status in Japan: Evidence from a National Representative Survey
Authors: Ma Xinxin , Kawakami Atushi , Inui Tomohiko
Published: June 2024

Using the 2010–2019 Comprehensive Survey of Living Conditions (CSLC) conducted in Japan, we examined the impact of long working hours on mental health in Japan while addressing the endogeneity issue arising from non-random selection bias. We assessed the variations in the effects of long working hours on mental health across different groups. The results show that first, individuals working longer hours (55 h or more per week) exhibited a higher likelihood of developing mental illness than those working regular hours or fewer hours. Second, the negative effect of long working hours on mental health is more pronounced among non-regular workers than among regular workers. Third, the effect of long working hours on mental health varies among different demographic groups, with a greater impact observed among women, managers, non-regular workers, employees in small- or large-sized firms, and those in smaller cities compared to their counterparts. Thus, to enhance worker productivity, the Japanese government should address the issue of long working hours to improve employees’ mental well-being. Initiatives aimed at promoting work–life balance, family-friendly policies, and measures to ameliorate working conditions are expected to help mitigate the challenges associated with long working hours and mental health issues, especially among non-regular workers.
A Nature-Based Intervention for Promoting Physical Activity in Older Adults: A Qualitative Study Using the COM-B Model
Authors: Irvine Katherine N. , Fisher Daniel , Currie Margaret , Colley Kathryn , Warber Sara L.
Published: June 2024

Physical inactivity contributes to over 800,000 deaths annually. Numerous non-pharmacological interventions provide a route to address this behavioural risk factor linked to the growth of non-communicable diseases. Here, we consider a nature-based intervention, specifically group outdoor health walks (GOHW), as a non-pharmacological intervention to increase physical activity and contribute to health and quality of life amongst older adults. We used the theoretically grounded Capability, Opportunity, Motivation, and Behaviour (COM-B) model as a lens to examine interviews with participants in a GOHW with an activity tracker and signposted by health clinics in Scotland, UK. Analysis identified capabilities, opportunities, and motivations, their impact on behaviour, and perceived physical and mental health. The application of the COM-B model to intervention evaluation allowed us to examine two separate behaviours, that of (i) engaging with the intervention itself, and (ii) incorporating the behaviour into one’s life that the intervention targets. Analysis identified emerging capabilities, opportunities, and motivations that supported additional health-promoting behaviours, including increased time outdoors in nature and leadership to self-organise continued group walks. We offer insight into the design of nature-based interventions to effectively engage older adults with chronic health conditions and foster personal behaviour change for health and well-being.
Maternal Stress Mediates Association of Infant Socioemotional Development with Perinatal Mental Health in Socioeconomically Vulnerable Peruvian Settings
Authors: Nóblega Magaly , Retiz Olenka , Nuñez del Prado Juan , Bartra Ramón
Published: June 2024

Increased maternal mental health during the perinatal period has been widely associated with a variety of positive outcomes for both mothers and infants. However, no studies in Peru have yet focused on studying maternal mental health and related psychological variables during this stage. Thus, the aim of this study was to test a model to associate a mother’s parental stress with infant socioemotional difficulties and maternal mental health. The sample included 988 mothers of infants aged 6 to 18 months from Peru, all from socioeconomically vulnerable settings. The findings showed that infant socioemotional difficulties were associated with poorer maternal mental health through the mother’s parental stress (χ2(7) = 28.89, p < 0.001, CFI = 0.98, RMSEA = 0.06, SRMR = 0.03). These results provide a better understanding of the key elements associated with maternal mental health during the perinatal period in Peru and offer valuable insights for developing interventions and support strategies for socioeconomically vulnerable mothers and their young children.
Ultrasound-Mediated Lysozyme Microbubbles Targeting NOX4 Knockdown Alleviate Cisplatin-Exposed Cochlear Hair Cell Ototoxicity
Authors: Lin Yuan-Yung , Liao Ai-Ho , Li Hsiang-Tzu , Jiang Peng-Yi , Lin Yi-Chun , Chuang Ho-Chiao , Ma Kuo-Hsing , Chen Hang-Kang , Liu Yi-Tsen , Shih Cheng-Ping , Wang Chih-Hung
Published: June 2024

The nicotinamide adenine dinucleotide phosphate (NADPH) oxidase 4 (NOX4) protein plays an essential role in the cisplatin (CDDP)-induced generation of reactive oxygen species (ROS). In this study, we evaluated the suitability of ultrasound-mediated lysozyme microbubble (USMB) cavitation to enhance NOX4 siRNA transfection in vitro and ex vivo. Lysozyme-shelled microbubbles (LyzMBs) were constructed and designed for siNOX4 loading as siNOX4/LyzMBs. We investigated different siNOX4-based cell transfection approaches, including naked siNOX4, LyzMB-mixed siNOX4, and siNOX4-loaded LyzMBs, and compared their silencing effects in CDDP-treated HEI-OC1 cells and mouse organ of Corti explants. Transfection efficiencies were evaluated by quantifying the cellular uptake of cyanine 3 (Cy3) fluorescein-labeled siRNA. In vitro experiments showed that the high transfection efficacy (48.18%) of siNOX4 to HEI-OC1 cells mediated by US and siNOX4-loaded LyzMBs significantly inhibited CDDP-induced ROS generation to almost the basal level. The ex vivo CDDP-treated organ of Corti explants of mice showed an even more robust silencing effect of the NOX4 gene in the siNOX4/LyzMB groups treated with US sonication than without US sonication, with a marked abolition of CDDP-induced ROS generation and cytotoxicity. Loading of siNOX4 on LyzMBs can stabilize siNOX4 and prevent its degradation, thereby enhancing the transfection and silencing effects when combined with US sonication. This USMB-derived therapy modality for alleviating CDDP-induced ototoxicity may be suitable for future clinical applications.
Blastic Plasmacytoid Dendritic Cell Neoplasm, from a Dermatological Point of View
Authors: Di Raimondo Cosimo , Lozzi Flavia , Di Domenico Pier Paolo , Paganini Claudia , Campione Elena , Galluzzo Marco , Bianchi Luca
Published: June 2024

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is an aggressive hematological malignancy derived from the precursors of plasmacytoid dendritic cells. Although disease awareness has increased over time, BPDCN represents a rare disease with an aggressive clinical course and a dismal prognosis. Due to the overlap in clinical and histological features with a large spectrum of inflammatory and neoplastic diseases, BPDCN is difficult to diagnose. Furthermore, given the rarity of the disease, treatment options for BPDCN are limited, sometimes changing by practitioner and hospitals. Treatment options range from conventional chemotherapy to the recently approved biologic agent tagraxofusp and stem cell transplantation. Therefore, a multidisciplinary approach with coordination among dermatologists, pathologists, and hematologists is ultimately imperative to reach the correct diagnosis and management of BPDCN.
Current View on PPAR-α and Its Relation to Neurosteroids in Alzheimer’s Disease and Other Neuropsychiatric Disorders: Promising Targets in a Therapeutic Strategy
Authors: Żulińska Sylwia , Strosznajder Anna K. , Strosznajder Joanna B.
Published: June 2024

Peroxisome proliferator-activated receptors (PPARs) may play an important role in the pathomechanism/pathogenesis of Alzheimer’s disease (AD) and several other neurological/neuropsychiatric disorders. AD leads to progressive alterations in the redox state, ion homeostasis, lipids, and protein metabolism. Significant alterations in molecular processes and the functioning of several signaling pathways result in the degeneration and death of synapses and neuronal cells, leading to the most severe dementia. Peroxisome proliferator-activated receptor alpha (PPAR-α) is among the processes affected by AD; it regulates the transcription of genes related to the metabolism of cholesterol, fatty acids, other lipids and neurotransmission, mitochondria biogenesis, and function. PPAR-α is involved in the cholesterol transport to mitochondria, the substrate for neurosteroid biosynthesis. PPAR-α-coding enzymes, such as sulfotransferases, which are responsible for neurosteroid sulfation. The relation between PPAR-α and cholesterol/neurosteroids may have a significant impact on the course and progression of neurodegeneration/neuroprotection processes. Unfortunately, despite many years of intensive studies, the pathogenesis of AD is unknown and therapy for AD and other neurodegenerative diseases is symptomatic, presenting a significant goal and challenge today. This review presents recent achievements in therapeutic approaches for AD, which are targeting PPAR-α and its relation to cholesterol and neurosteroids in AD and neuropsychiatric disorders.
A CAM-Related NF-YB Transcription Factor Enhances Multiple Abiotic Stress Tolerance in Arabidopsis
Authors: Malwattage Naleeka R. , Wone Beate , Wone Bernard W. M.
Published: June 2024

Abiotic stresses often occur simultaneously, and the tolerance mechanisms of plants to combined multiple abiotic stresses remain poorly studied. Extremophytes, adapted to abiotic stressors, might possess stress-adaptive or -responsive regulators that could enhance multiple abiotic stress resistance in crop plants. We identified an NF-YB transcription factor (TF) from the heat-tolerant obligate Crassulacean acid metabolism (CAM) plant, Kalanchoe fedtschenkoi, as a potential regulator of multiple abiotic stresses. The KfNF-YB3 gene was overexpressed in Arabidopsis to determine its role in multiple abiotic stress responses. Transgenic lines exhibited accelerated flowering time, increased biomass, larger rosette size, higher seed yield, and more leaves. Transgenic lines had higher germination rates under combined NaCl, osmotic, and water-deficit stress treatments compared to control plants. They also showed enhanced root growth and survival under simultaneous NaCl, osmotic, water-deficit, and heat stress conditions in vitro. Interestingly, potted transgenic lines had higher survival rates, yield, and biomass under simultaneous heat, water-deficit, and light stresses compared to control plants. Altogether, these results provide initial insights into the functions of a CAM-related TF and its potential roles in regulating multiple abiotic stress responses. The CAM abiotic stress-responsive TF-based approach appears to be an ideal strategy to enhance multi-stress resilience in crop plants.
Plantago major and Plantago lanceolata Exhibit Antioxidant and Borrelia burgdorferi Inhibiting Activities
Authors: Laanet Pille-Riin , Bragina Olga , Jõul Piia , Vaher Merike
Published: June 2024

Lyme disease, caused by Borrelia burgdorferi sensu lato infection, is the most widespread vector-borne illness in the Northern Hemisphere. Unfortunately, using targeted antibiotic therapy is often an ineffective cure. The antibiotic resistance and recurring symptoms of Lyme disease are associated with the formation of biofilm-like aggregates of B. burgdorferi. Plant extracts could provide an effective alternative solution as many of them exhibit antibacterial or biofilm inhibiting activities. This study demonstrates the therapeutic potential of Plantago major and Plantago lanceolata as B. burgdorferi inhibitors. Hydroalcoholic extracts from three different samples of each plant were first characterised based on their total concentrations of polyphenolics, flavonoids, iridoids, and antioxidant capacity. Both plants contained substantial amounts of named phytochemicals and showed considerable antioxidant properties. The major non-volatile constituents were then quantified using HPLC-DAD-MS analyses, and volatile constituents were quantified using HS-SPME-GC-MS. The most prevalent non-volatiles were found to be plantamajoside and acteoside, and the most prevalent volatiles were β-caryophyllene, D-limonene, and α-caryophyllene. The B. burgdorferi inhibiting activity of the extracts was tested on stationary-phase B. burgdorferi culture and its biofilm fraction. All extracts showed antibacterial activity, with the most effective lowering the residual bacterial viability down to 15%. Moreover, the extracts prepared from the leaves of each plant additionally demonstrated biofilm inhibiting properties, reducing its formation by 30%.
Possible Role of Tauroursodeoxycholic Acid (TUDCA) and Antibiotic Administration in Modulating Human Gut Microbiota in Home Enteral Nutrition Therapy for the Elderly: A Case Report
Authors: Francini Emanuele , Orlandoni Paolo , Sparvoli Debora , Jukic Peladic Nikolina , Cardelli Maurizio , Recchioni Rina , Silvi Stefania , Stocchi Vilberto , Donati Zeppa Sabrina , Procopio Antonio Domenico , Capalbo Maria , Lattanzio Fabrizia , Olivieri Fabiola , Marchegiani Francesca
Published: June 2024

Tauroursodeoxycholic acid (TUDCA) increases the influx of primary bile acids into the gut. Results obtained on animal models suggested that Firmicutes and Proteobacteria phyla are more resistant to bile acids in rats. As part of a pilot study investigating the role of probiotics supplementation in elderly people with home enteral nutrition (HEN), a case of a 92-year-old woman with HEN is reported in the present study. She lives in a nursing home and suffers from Alzheimer’s disease (AD); the patient had been prescribed TUDCA for lithiasis cholangitis. The aim of this case report is therefore to investigate whether long-term TUDCA administration may play a role in altering the patient’s gut microbiota (GM) and the impact of an antibiotic therapy on the diversity of microbial species. Using next generation sequencing (NGS) analysis of the bacterial 16S ribosomal RNA (rRNA) gene a dominant shift toward Firmicutes and a remodeling in Proteobacteria abundance was observed in the woman’s gut microbiota. Considering the patient’s age, health status and type of diet, we would have expected to find a GM with a prevalence of Bacteroidetes phylum. This represents the first study investigating the possible TUDCA’s effect on human GM.
Characterization of Proteome Changes in Aged and Collagen VI-Deficient Human Pericyte Cultures
Authors: Moriggi Manuela , Torretta Enrica , Cescon Matilde , Russo Loris , Gregorio Ilaria , Braghetta Paola , Sabatelli Patrizia , Faldini Cesare , Merlini Luciano , Gargioli Cesare , Bonaldo Paolo , Gelfi Cecilia , Capitanio Daniele
Published: June 2024

Pericytes are a distinct type of cells interacting with endothelial cells in blood vessels and contributing to endothelial barrier integrity. Furthermore, pericytes show mesenchymal stem cell properties. Muscle-derived pericytes can demonstrate both angiogenic and myogenic capabilities. It is well known that regenerative abilities and muscle stem cell potential decline during aging, leading to sarcopenia. Therefore, this study aimed to investigate the potential of pericytes in supporting muscle differentiation and angiogenesis in elderly individuals and in patients affected by Ullrich congenital muscular dystrophy or by Bethlem myopathy, two inherited conditions caused by mutations in collagen VI genes and sharing similarities with the progressive skeletal muscle changes observed during aging. The study characterized pericytes from different age groups and from individuals with collagen VI deficiency by mass spectrometry-based proteomic and bioinformatic analyses. The findings revealed that aged pericytes display metabolic changes comparable to those seen in aging skeletal muscle, as well as a decline in their stem potential, reduced protein synthesis, and alterations in focal adhesion and contractility, pointing to a decrease in their ability to form blood vessels. Strikingly, pericytes from young patients with collagen VI deficiency showed similar characteristics to aged pericytes, but were found to still handle oxidative stress effectively together with an enhanced angiogenic capacity.
First Insight into the Degradome of Aspergillus ochraceus: Novel Secreted Peptidases and Their Inhibitors
Authors: Shestakova Anna , Fatkulin Artem , Surkova Daria , Osmolovskiy Alexander , Popova Elizaveta
Published: June 2024

Aspergillus fungi constitute a pivotal element within ecosystems, serving as both contributors of biologically active compounds and harboring the potential to cause various diseases across living organisms. The organism’s proteolytic enzyme complex, termed the degradome, acts as an intermediary in its dynamic interaction with the surrounding environment. Using techniques such as genome and transcriptome sequencing, alongside protein prediction methodologies, we identified putative extracellular peptidases within Aspergillus ochraceus VKM-F4104D. Following manual annotation procedures, a total of 11 aspartic, 2 cysteine, 2 glutamic, 21 serine, 1 threonine, and 21 metallopeptidases were attributed to the extracellular degradome of A. ochraceus VKM-F4104D. Among them are enzymes with promising applications in biotechnology, potential targets and agents for antifungal therapy, and microbial antagonism factors. Thus, additional functionalities of the extracellular degradome, extending beyond mere protein substrate digestion for nutritional purposes, were demonstrated.
Dual Role of Tissue Factor Pathway Inhibitor 2—A Novel Serodiagnostic Marker for Ovarian Cancer—In Human Cancers
Authors: Kobayashi Hiroshi , Imanaka Shogo , Matsubara Sho , Shigetomi Hiroshi , Yoshimoto Chiharu
Published: June 2024

Background: Tissue factor pathway inhibitors (TFPI1 and TFPI2) are ubiquitously distributed in humans and exhibit inhibitory activity against serine proteinases. TFPI1 inhibits the tissue factor (TF)-dependent extrinsic coagulation pathway, while TFPI2 modulates extracellular matrix remodeling. TFPI2 has been reported to be an epigenetically silenced tumor suppressor and independent prognostic factor in various human cancers. However, elevated serum levels of TFPI2 have been observed in ovarian and endometrial cancers compared to healthy controls, with increased levels correlating with poor prognosis in endometrial cancer. This raises the question of why the tumor suppressor TFPI2 is elevated in the blood of patients with gynecological cancers and is associated with adverse outcomes. Methods: A comprehensive literature search was performed in PubMed and Google Scholar without time restriction. Results: TFPI2 gene expression may be influenced by both cancer cell-specific gene expression profiles (e.g., oncogenic signaling pathways) and epigenetic modifications (e.g., DNA methylation, histone modifications, and non-coding RNAs). Although TFPI2 generally exhibits an anti-invasion effect in most human cancers, it has been reported to have a paradoxical pro-invasive effect in certain cancers. TFPI2 facilitates cancer invasion through aberrant alternative splicing or through a pathophysiological process known as angiotropism or vasculogenic mimicry. The overproduction of TFPI2 in the tumor microenvironment may reinforce the extracellular matrix, thereby enhancing tumor cell adhesion and invasion. Conclusion: This review summarizes the current understanding of the seemingly contradictory functions of TFPI2 in human malignancies, primarily focusing on the mechanisms regulating its expression and function, and discusses future prospects for translational research.
Trends of Social Anxiety in University Students of Pakistan Post-COVID-19 Lockdown: A Healthcare Analytics Perspective
Authors: Khuda Ikram E. , Aftab Azeem , Hasan Sajid , Ikram Samar , Ahmad Sadique , Ateya Abdelhamied Ashraf , Asim Muhammad
Published: June 2024

This paper disseminates our research findings that we conducted on university students in the years 2021, 2022, and 2023, with the year 2021 taken as the base year. Our research mined and excavated a concealed prevalence of social anxiety as an important and crucial facet of study anxiety in the university students of Pakistan. Using the Liebowitz Social Anxiety Scale (LSAS), we found a significant increase in the social anxiety level among university students in the past three years after the COVID-19 lockdown. Our data showed that the ‘very severe anxiety’ level soared up to 52.94% in the year 2023 from just 5.98% in the year 2021, showing a net increase of 47.06%. Statistical analyses demonstrate noteworthy differences in the overall social anxiety levels among the students, reaching significance at the 5% level and a discernable upward trend in the social anxiety levels as study anxiety. We also employed predictive analytics, including binary classifiers and generalized linear models with a 95% confidence interval, to identify individuals at risk. This study highlights a dynamic shift with escalating social anxiety levels among the university students and thus emphasizing its awareness, which is significantly important for the timely intervention, potentially preventing symptom escalation and improving outcomes.
O2SAT: Object-Oriented-Segmentation-Guided Spatial-Attention Network for 3D Object Detection in Autonomous Vehicles
Authors: Mushtaq Husnain , Deng Xiaoheng , Ullah Irshad , Ali Mubashir , Malik Babur Hayat
Published: June 2024

Autonomous vehicles (AVs) strive to adapt to the specific characteristics of sustainable urban environments. Accurate 3D object detection with LiDAR is paramount for autonomous driving. However, existing research predominantly relies on the 3D object-based assumption, which overlooks the complexity of real-world road environments. Consequently, current methods experience performance degradation when targeting only local features and overlooking the intersection of objects and road features, especially in uneven road conditions. This study proposes a 3D Object-Oriented-Segmentation Spatial-Attention (O2SAT) approach to distinguish object points from road points and enhance the keypoint feature learning by a channel-wise spatial attention mechanism. O2SAT consists of three modules: Object-Oriented Segmentation (OOS), Spatial-Attention Feature Reweighting (SFR), and Road-Aware 3D Detection Head (R3D). OOS distinguishes object and road points and performs object-aware downsampling to augment data by learning to identify the hidden connection between landscape and object; SFR performs weight augmentation to learn crucial neighboring relationships and dynamically adjust feature weights through spatial attention mechanisms, which enhances the long-range interactions and contextual feature discrimination for noise suppression, improving overall detection performance; and R3D utilizes refined object segmentation and optimized feature representations. Our system forecasts prediction confidence into existing point-backbones. Our method’s effectiveness and robustness across diverse datasets (KITTI) has been demonstrated through vast experiments. The proposed modules seamlessly integrate into existing point-based frameworks, following a plug-and-play approach.
Business Model Evolution in the Age of NFTs and the Metaverse
Authors: Madanchian Mitra , Taherdoost Hamed
Published: June 2024

The dynamic progression of technology has induced a profound metamorphosis within the realm of commerce, ushering in novel prospects and trials for enterprises spanning diverse sectors. In contemporary times, the rise in non-fungible tokens (NFTs) and the conception of the Metaverse have ensnared the focus of corporate entities and visionary proprietors alike. This article explores the transformation of business frameworks during the era of NFTs and the Metaverse. It delves into traditional paradigms, clarifies the unique characteristics of NFTs, and examines their potential impacts on commerce. This article investigates the convergence of virtual reality (VR), augmented reality (AR), and blockchain technology within the Metaverse. To investigate these transformations, this study undertakes a comprehensive literature evaluation. The findings highlight how NFTs and the Metaverse have introduced new avenues for generating revenue and creating value. These advancements are achieved through the utilization of smart contracts and adaptable strategies that cater to evolving consumer behaviors. This article also addresses significant challenges in this landscape and provides a forward-looking perspective on the anticipated trajectory.
Fatigue Consideration for Tension Flange over Intermediate Support in Skewed Continuous Steel I-Girder Bridges
Authors: Tabiatnejad Dariya , Khedmatgozar Dolati Seyed Saman , Mehrabi Armin , Helwig Todd A.
Published: June 2024

Skewed supports complicate load paths in continuous steel I-girder bridges, causing secondary stresses and differential deformations. For a continuous bridge where tensile stresses are developed in the top flange of the steel girders over the intermediate supports, these effects may exacerbate potential fatigue issues for the top flanges. There is a gap in knowledge regarding the level of stress one can expect at these locations, and the stress level can render the problem either serious or trivial. This paper has been successful in providing this information, which was not available before. The study examines the fatigue performance of the top flange in girders over skewed supports. Results are presented from a detailed investigation consisting of 3D finite element modeling to evaluate 26 skewed bridges in the State of Florida that represent the wide range of geometries found in practice. The analysis focused on stress ranges in the top flanges and axial demands on end cross-frame members under fatigue truck loading. A preliminary analysis helped to select the appropriate element type and support conditions. The maximum factored stress range of 3.63 ksi obtained for the selected group of bridges remains below the 10 ksi fatigue threshold for an AASHTO Category C connection, alleviating the concerns about the fatigue performance of the continuous girder top flange over the intermediate pier. Hence, fatigue is unlikely to be a concern in the flanges at this location. Statistics on computed stress ranges and cross-frame forces that provide an understanding of the expected values and guidance for detailing practices are also presented. A limited comparative refined FE analysis on two different types of end cross-frame to girder connections also provided useful insight into the fatigue sensitivities of the skew connections. Half-Round Bearing Stiffener (HRBS) connections performed better than the customary bent plate connections. The HRBS connection reduces girder flange stress concentration range by at least 18% compared to the bent plate connection. The maximum stress concentration range in bent plate components is significantly higher than in the HRBS connection components. The work documented in this paper is important for understanding the fatigue performance of the cross-frames and girders in support regions in the upcoming 10th edition of the AASHTO Bridge Design Specifications that may include plate stiffeners oriented either normally or skewed to the girder web, or Half-Round Bearing Stiffeners.
Challenges and Advancements in All-Solid-State Battery Technology for Electric Vehicles
Authors: Shah Rajesh , Mittal Vikram , Precilla Angelina Mae
Published: June 2024

Recent advances in all-solid-state battery (ASSB) research have significantly addressed key obstacles hindering their widespread adoption in electric vehicles (EVs). This review highlights major innovations, including ultrathin electrolyte membranes, nanomaterials for enhanced conductivity, and novel manufacturing techniques, all contributing to improved ASSB performance, safety, and scalability. These developments effectively tackle the limitations of traditional lithium-ion batteries, such as safety issues, limited energy density, and a reduced cycle life. Noteworthy achievements include freestanding ceramic electrolyte films like the 25 μm thick Li0.34La0.56TiO3 film, which enhance energy density and power output, and solid polymer electrolytes like the polyvinyl nitrile boroxane electrolyte, which offer improved mechanical robustness and electrochemical performance. Hybrid solid electrolytes combine the best properties of inorganic and polymer materials, providing superior ionic conductivity and mechanical flexibility. The scalable production of ultrathin composite polymer electrolytes shows promise for high-performance, cost-effective ASSBs. However, challenges remain in optimizing manufacturing processes, enhancing electrode-electrolyte interfaces, exploring sustainable materials, and standardizing testing protocols. Continued collaboration among academia, industry, and government is essential for driving innovation, accelerating commercialization, and achieving a sustainable energy future, fully realizing the transformative potential of ASSB technology for EVs and beyond.
Enhancing Obscured Regions in Thermal Imaging: A Novel GAN-Based Approach for Efficient Occlusion Inpainting
Authors: Abuhussein Mohammed , Almadani Iyad , Robinson Aaron L. , Younis Mohammed
Published: June 2024

This research paper presents a novel approach for occlusion inpainting in thermal images to efficiently segment and enhance obscured regions within these images. The increasing reliance on thermal imaging in fields like surveillance, security, and defense necessitates the accurate detection of obscurants such as smoke and fog. Traditional methods often struggle with these complexities, leading to the need for more advanced solutions. Our proposed methodology uses a Generative Adversarial Network (GAN) to fill occluded areas in thermal images. This process begins with an obscured region segmentation, followed by a GAN-based pixel replacement in these areas. The methodology encompasses building, training, evaluating, and optimizing the model to ensure swift real-time performance. One of the key challenges in thermal imaging is identifying effective strategies to mitigate critical information loss due to atmospheric interference. Our approach addresses this by employing sophisticated deep-learning techniques. These techniques segment, classify and inpaint these obscured regions in a patch-wise manner, allowing for more precise and accurate image restoration. We propose utilizing architectures similar to Pix2Pix and UNet networks for generative and segmentation tasks. These networks are known for their effectiveness in image-to-image translation and segmentation tasks. Our method enhances the segmentation and inpainting process by leveraging their architectural similarities. To validate our approach, we provide a quantitative analysis and performance comparison. We include a quantitative comparison between (Pix2Pix and UNet) and our combined architecture. The comparison focuses on how well each model performs in terms of accuracy and speed, highlighting the advantages of our integrated approach. This research contributes to advancing thermal imaging techniques, offering a more robust solution for dealing with obscured regions. The integration of advanced deep learning models holds the potential to significantly improve image analysis in critical applications like surveillance and security.
Pulmonary Vascular Permeability and Extravascular Lung Water Index in Patients with Liver Cirrhosis and Septic Shock
Authors: Peng Kang-Wei , Chang Ming-Ling , Chien Rong-Nan , Chen Yung-Chang , Tian Ya-Chung , Peng Yun-Shing , Huang Hui-Chun , Fang Ji-Tseng , Lee Fa-Yauh , Yang Chih-Wei , Tsai Ming-Hung
Published: June 2024

Backgrounds and Aims: Patients with cirrhosis are susceptible to sepsis and septic shock. Cirrhotic patients also have increased capillary permeability and are prone to developing volume overload. Patients with septic shock may have an enhanced pulmonary vascular permeability index (PVPI) and extravascular lung water index (EVLWI), both of which are associated with an unfavorable prognosis. It is plausible that pre-existing hyperpermeability may deteriorate when cirrhotic patients develop septic shock. However, it remains unknown whether PVPI and EVLWI can predict the prognosis of cirrhotic patients with septic shock. Pulse Indicator Continuous Cardiac Output (PiCCO) is an established tool to measure PVPI and EVLWI. Therefore, we conducted this retrospective study to investigate the prognostic significance of PVPI and EVLWI in cirrhotic patients with septic shock using PiCCO monitoring. Methods: We included 83 patients with liver cirrhosis and septic shock. EVLW indexed to actual body weight (aEVLWI), EVLW indexed to predicted body weight (pEVLWI), PVPI, disease severity scores, and other biomarkers were analyzed. We collected the PiCCO data on the first 2 days. Results: The overall 28-day mortality was 43.4%. The values of PVPI, aEVLWI, and pEVLWI on day 2 (PVPID2, aEVLWID2, EVLWID2) were significantly higher in non-survivors. The discriminating power of PVPID2 and EVLWID2 to predict 28-day mortality was tested using the area under a ROC curve. The areas under ROC curves (mean ± SEM) were 0.713 ± 0.061 and 0.650 ± 0.063 for PVPID2 and pEVLWID2. In the multivariate analysis, PVPID2, bilirubin, and lactate were independent factors which predicted 28-day mortality. Conclusions: Higher levels of PVPID2 and pEVLWID2 are associated with higher 28-day mortality rates in cirrhotic patients with septic shock. PVPI and pEVLWI may be useful to guide fluid management in this clinical setting.
Mechanical Behavior of Five Different Morse Taper Implants and Abutments with Different Conical Internal Connections and Angles: An In Vitro Experimental Study
Authors: Caballero Claudia , Rodriguez Fernando , Cortellari Guillermo Castro , Scarano Antonio , Prados-Frutos Juan Carlos , De Aza Piedad N. , Fernandes Gustavo Vicentis Oliveira , Gehrke Sergio Alexandre
Published: June 2024

The present study evaluated the mechanical behavior of five designs of Morse taper (MT) connections with and without the application of loads. For this, the detorque of the fixing screw and the traction force required to disconnect the abutment from the implant were assessed. A total of 100 sets of implants/abutments (IAs) with MT-type connections were used, comprising five groups (n = 20/group): (1) Group Imp 11.5: IA sets with a cone angulation of 11.5°; (2) Group SIN 11.5: with a cone angulation of 11.5°; (3) Group SIN 16: with a cone angulation of 16°; (4) Group Neo 16: with a cone angulation of 16°; and (5) Group Str 15: with a cone angulation of 15°. All sets received the torque recommended by the manufacturer. After applying the torque, the counter torque of the fixing screws was measured in ten IA sets of each group without the application of cyclic loads (frequencies ≤ 2 Hz, 360,000 cycles, and force at 150 Ncm). The other ten sets of each group were subjected to cyclic loads, after which the detorque was measured. Afterwards, the force for disconnection between the implant and the abutment was measured by traction on all the samples. The untwisting of the abutment fixation screws showed a decrease in relation to the initial torque applied in all groups. In the unloaded samples, it was found to be −25.7% in Group 1, −30.4% in Group 2, −36.8% in Group 3, −29.6% in Group 4, and −25.7% in Group 5. After the applied loads, it was found to be −44% in Group 1, −43.5% in Group 2, −48.5% in Group 3, −47.2% in Group 4, and −49.8% in Group 5. The values for the IA sets were zero for SIN 16 (Group 3) and Neo16 (Group 4), both without and with loads. In the other three groups, without loads, the disconnection value was 56.3 ± 2.21 N (Group 1), 30.7 ± 2.00 N (Group 2), and 26.0 ± 2.52 N (Group 5). After applying loads, the values were 63.5 ± 3.06 N for Group 1, 34.2 ± 2.45 N in Group 2, and 23.1 ± 1.29 N in Group 5. It was concluded that in terms of the mechanical behavior of the five designs of MT IA sets, with and without the application of loads, the Imp 11.5, SIN 11.5, and Srt 15 groups showed better results compared to the SIN 16 and Neo 16 groups, showing that lower values of cone angulation increase the friction between the parts (IA), thus avoiding the need to maintain the torque of the fixing screw to maintain the union of the sets.
Investigating Workpiece Deflection in Precise Electrochemical Machining of Turbine Blades
Authors: Tchoupe Sambou Elio , Lauwers Daniel , Petersen Timm , Herrig Tim , Klink Andreas , Meinke Matthias , Schröder Wolfgang
Published: June 2024

Precise electrochemical machining (PECM) is being used increasingly to produce turbine blades (high-pressure compressors) from difficult-to-machine materials such as Inconel. However, the challenges associated with PECM are particularly pronounced for filigree workpieces characterized by high aspect ratios and thin-walled geometries. The need for high-pressure flushing within the working gap to renew the electrolyte poses a dilemma because it induces unwanted deflection in these thin-walled structures. This problem is intensified by the mechanical oscillation of the tool applied to promote flushing efficiency. The superposition of mechanical tool oscillation and turbulent flushing, which exacerbate fluid–structure interaction, has been identified as the essential cause of workpiece deflection. The aim of this paper is to present an experimental setup coupled with numerical methods to better investigate the phenomenon of workpiece deflection during PECM. In the first part of this work, a novel tool system for investigating the phenomenon of workpiece deflection in PECM is presented. The tool system combines typical PECM tool–workpiece arrangements for double-sided machining and a unique electrolytic mask that provides optical access to the working gap, allowing in situ measurements. After validating the tool system by experimental tests, the workpiece deflection is investigated using high-speed imaging. In a next step, analytical studies of the flushing conditions during machining operations are carried out. These investigations are followed by a structural investigation of the workpiece to improve the understanding of the deflection behavior of the workpiece. In addition, the effect on the blade tip caused by the continuously decreasing moment of inertia of the blade due to their thinning during machining is analyzed.