bluuebunny/crossref_metadata_2025 huggingface dataset:
Generalized Partially Functional Linear Model with Interaction between Functional Predictors
Authors: Xiao Weiwei , Mao Kejing , Liu Haiyan
Published: August 2024

This paper proposes a generalized partially functional linear model with interaction terms. It is suitable for cases where the response variable is scalar, and the predictor variables include a mix of functional and scalar types, while considering the correlations among functional predictor variables. The model uses principal component analysis for dimensionality reduction, employs maximum likelihood estimation to obtain parameter values, proves the asymptotic properties of the estimates, and validates the model’s accuracy through data simulation experiments. Finally, the proposed model was applied to investigate the influence of air quality, climate factors, and medical and social indicators, along with their interactions, on cancer incidence, which is a binary response.
Effects of Head-Only Exposure to 900 MHz GSM Electromagnetic Fields in Rats: Changes in Neuronal Activity as Revealed by c-Fos Imaging without Concomitant Cognitive Impairments
Authors: Bontempi Bruno , Lévêque Philippe , Dubreuil Diane , Jay Thérèse M. , Edeline Jean-Marc
Published: August 2024

Over the last two decades, animal models have been used to evaluate the physiological and cognitive effects of mobile phone exposure. Here, we used a head-only exposure system in rats to determine whether exposure to 900 MHz GSM electromagnetic fields (EMFs) induces regional changes in neuronal activation as revealed by c-Fos imaging. In a first study, rats were exposed for 2 h to brain average specific absorption rates (BASARs) ranging from 0.5 to 6 W/kg. Changes in neuronal activation were found to be dose-dependent, with significant increases in c-Fos expression occurring at BASAR of 1 W/kg in prelimbic, infralimbic, frontal, and cingulate cortices. In a second study, rats were submitted to either a spatial working memory (WM) task in a radial maze or a spatial reference memory (RM) task in an open field arena. Exposures (45 min) were conducted before each daily training session (BASARs of 1 and 3.5 W/kg). Control groups included sham-exposed and control cage animals. In both tasks, behavioral performance evolved similarly in the four groups over testing days. However, c-Fos staining was significantly reduced in cortical areas (prelimbic, infralimbic, frontal, cingulate, and visual cortices) and in the hippocampus of animals engaged in the WM task (BASARs of 1 and 3.5 W/kg). In the RM task, EMF exposure-induced decreases were limited to temporal and visual cortices (BASAR of 1 W/kg). These results demonstrate that both acute and subchronic exposures to 900 MHz EMFs can produce region-specific changes in brain activity patterns, which are, however, insufficient to induce detectable cognitive deficits in the behavioral paradigms used here.
Imbalance between Employees and the Organisational Context: A Catalyst for Workplace Bullying Behaviours in Both Targets and Perpetrators
Authors: Özer Gülüm , Escartín Jordi
Published: August 2024

Research on workplace bullying from the perpetrators’ perspective is limited, leading to few interventions tailored to them. This gap stems from insufficient understanding of how organisational conditions and individual dispositions trigger or amplify perpetrator behaviour. To develop effective interventions in preventing bullying, perceived organisational factors were examined. This study, guided by the Job Demands–Resources (JD–R) model and the three-way model of workplace bullying (WB), aims to explore the effects of perceived (im)balances in the task or employee focus, social atmosphere (positive or negative), and hierarchical structure (high or low) in organisations on the incidence of WB, both in terms of perpetrator and target experiences. The research involved 1044 employees from multiple Spanish organisations and sectors: 51.7% in services, 24.6% in education, 14.5% in wholesale and retail trade, and 9.2% in manufacturing. The average age of participants was 35.43 years (SD = 10.9), with a female majority of 61.3%. Using a cross-sectional study design, the experiences of being a target and perpetrator were quantitatively assessed through validated WB target and perpetrator scales. Additionally, the study qualitatively examined employees’ perceptions of their organisational context through free descriptions, using adjectives to depict their views. Correspondence analysis was employed to test the hypotheses, and the results affirmed them. The study found that perceived imbalances in organisational focus, social atmosphere, and hierarchy correlate with higher WB target and perpetrator reports, whereas balanced atmospheres correlate with no WB. This research underscores the significance of balanced organisational contexts in mitigating WB. It highlights a gap in the current literature regarding the broader organisational factors that influence bullying and advocates for a more in-depth understanding of these dynamics. Furthermore, it contributes to the existing body of knowledge by offering a comprehensive and harmonised approach to preventing WB, transcending isolated interventions.
Reframing Social and Emotional Development of the Gifted
Authors: Sternberg Robert J.
Published: August 2024

This essay questions the framing of socioemotional development as a separate concomitant of cognitive development in gifted individuals. Rather, it argues, first, that socioemotional development of the gifted is not separate from giftedness. Second, socioemotional development is not even cleanly and clearly separable from cognitive development. Third, giftedness and even intelligence do not reside inside the person—they are not personal properties but rather interactions of persons with tasks and situations. In sum, giftedness needs to be viewed in a holistic context that encompasses integrated cognitive, socio-emotional, task, and situational contextual elements.
Comparative Analysis of Stroke, Marital Intimacy, Marital Satisfaction and Divorce Intention According to the Type of Participation in Marital Leisure Sports Activities
Authors: Yang Ji-Hye , Yang Hye Jin , Jung Si Cheol , Choi Chulhwan , Bum Chul-Ho
Published: August 2024

This study examined strokes, marital intimacy, marital satisfaction, and divorce intentions among participants who are members of a couple, based on their leisure sports participation. We conducted a questionnaire survey with 321 participants. The validity and reliability were checked, and a multivariate analysis of variance was conducted to test for differences between groups. The results revealed that among couples engaging in the same leisure sports activity, positive stroke was high, and negative and no strokes were low. Couples not engaging in the same activity exhibited a partial positive effect when both or one of the individuals engaged in leisure sports activities. Among couples in which both individuals did not engage in leisure sports activities, negative results were found for all factors. Furthermore, couples engaging in the same activity showed high marital intimacy and satisfaction. Moreover, couples engaging in the same activity showed the lowest intention to divorce, whereas couples who did not engage in leisure sports activities showed the highest intention to divorce. These findings suggest that leisure sports activities positively affect relationships, and this effect increases when couples participate in the same sport. Future research should investigate methods for couples to engage in leisure activities and how they can be activated.
Review of Wind Field Characteristics of Downbursts and Wind Effects on Structures under Their Action
Authors: Zhang Shi , Guo Kexin , Yang Qingshan , Xu Xiaoda
Published: August 2024

Downbursts belong to sudden, local, and strong convection weather, which present significant destruction for structures. At any given time, there are approximately 2000 thunderstorms occurring on the Earth. Many studies have investigated the effects of downbursts on different structures. However, the extensive range of varying wind field parameters and the diverse representations of wind speeds render the study of structural wind effects complex and challenging under downbursts. This study firstly reviews the research of wind field properties of downbursts according to four common approaches, and the major findings, advantages, and disadvantages of which are concluded. Then, failure analysis of transmission line systems under stationary and moving downbursts is explored. The article also reviews the wind pressure on the roof of different kinds of low-rise buildings, and some dominant parameters, namely roof slope, distance of building from downburst center, wind direction angle, and so on, are discussed. Moreover, the wind effects caused by downbursts on high-rise buildings and some specialized structures are also considered because more and more wind hazards are related to downbursts. Finally, the limitations of the current study are pointed out, and recommendations for further research are given for the accurate assessment of the effects of wind on buildings, with a view to providing safer and more economical wind-resistant design solutions for structures.
A Historical and Critical Assessment of Parametricism as an Architectural Style in the 21st Century
Authors: Youns Ameen Mokhles , Grchev Kokan
Published: August 2024

Architectural styles have evolved, with distinct periods marked by unique styles that reflect broader artistic movements. Despite extensive research on traditional and contemporary architectural styles, there remains a gap in understanding the distinctiveness and contributions of Parametricism as a 21st-century architectural style. This study aims to critically examine the emergence and development of Parametricism, aiming to highlight whether it represents a fundamental evolution in architectural thought and practice or primarily a methodological innovation. Through a comprehensive investigation of its formal characteristics, historical roots, and relationships with other architectural movements, this study seeks to discuss Parametricism’s unique contributions to modern architecture. This research is crucial as it addresses the underexplored area of parametric design’s impact on architectural theory and practice, offering a critical analysis that situates Parametricism within the broader context of 21st-century architectural styles. By clarifying the definition and position of Parametricism, this study aims to enrich both the state of the art and the state of practice in the field, providing valuable insights for scholars, practitioners, and students of architecture. Through this critical assessment, the paper contributes to the ongoing discourse on the evolution of architectural styles, highlighting the originality and significance of Parametricism in contemporary architecture.
Factors Affecting Contract Compliance and Execution of Public Works in the Executing Unit: Special Project Huallaga Central and Bajo Mayo in Peru, 2022
Authors: Romero Anjhinson , Esenarro Doris
Published: August 2024

Cost overruns, delays, and poor quality are frequent in public investment projects under the contract modality, executed by the Executing Unit: Special Project Huallaga Central and Bajo Mayo (PEHCBM). The purpose of this research is to identify the factors that affect the fulfillment of contracts for the execution of public works in the PEHCBM. This research includes the determination of the most influential factors using the relative importance index (RII), as well as surveys administered to a sample of 25 experts. A total of 91 articles from 48 academic journals were selected. With the application of the RII, 21 factors were determined, distributed among the dimensions of cost, time, and quality, and validated by the experts with a Spearman’s coefficient of value 0.521. In the case study, seven relevant factors were determined in PEHCBM execution contracts, identifying overtime between 4.7% and 524.2%, as well as a cost increase between 8.8% and 52.2%. Similarly, adverse situations detected by the Comptroller’s Office were determined, with an accumulated economic damage of about PEN 19 million, determining the high influence of the cost, time, and quality dimensions on them. In conclusion, this study shows the high overtime and the deficient quality of the works carried out by the contracting modality, which generated economic damage to the State.
Somatic MED12 Mutations in Myometrial Cells
Authors: Li Yinuo , Asif Huma , Feng Yue , Kim Julie J. , Wei Jian-Jun
Published: August 2024

Over 70% of leiomyoma (LM) harbor MED12 mutations, primarily in exon 2 at c.130-131 (GG). Myometrial cells are the cell origin of leiomyoma, but the MED12 mutation status in non-neoplastic myometrial cells is unknown. In this study, we investigated the mutation burden of MED12 in myometrium. As traditional Sanger or even NGS sequencing may not be able to detect MED12 mutations that are lower than 0.1% in the testing sample, we used duplex deep sequencing analysis (DDS) to overcome this limitation. Tumor-free myometria (confirmed by pathology evaluation) were dissected, and genomic DNA from MED12 exon 2 (test) and TP53 exon 5 (control) were captured by customer-designed probe sets, followed by DDS. Notably, DDS demonstrated that myometrial cells harbored a high frequency of mutations in MED12 exon 2 and predominantly in code c.130-131. In contrast, the baseline mutations in other coding sequences of MED12 exon 2 as well as in the TP53 mutation hotspot, c.477-488 were comparably low in myometrial cells. This is the first report demonstrating a non-random accumulation of MED12 mutations at c.130-131 sites in non-neoplastic myometrial cells which provide molecular evidence of early somatic mutation events in myometrial cells. This early mutation may contribute to the cell origin for uterine LM development in women of reproductive age.
Fibroblast Activation Protein Is Expressed by Altered Osteoprogenitors and Associated to Disease Burden in Fibrous Dysplasia
Authors: Raborn Layne N. , Michel Zachary , Collins Michael T. , Boyce Alison M. , de Castro Luis F.
Published: August 2024

Fibrous dysplasia (FD) is a mosaic skeletal disorder involving the development of benign, expansile fibro-osseous lesions during childhood that cause deformity, fractures, pain, and disability. There are no well-established treatments for FD. Fibroblast activation protein (FAPα) is a serine protease expressed in pathological fibrotic tissues that has promising clinical applications as a biomarker and local pro-drug activator in several pathological conditions. In this study, we explored the expression of FAP in FD tissue and cells through published genetic expression datasets and measured circulating FAPα in plasma samples from patients with FD and healthy donors. We found that FAP genetic expression was increased in FD tissue and cells, and present at higher concentrations in plasma from patients with FD compared to healthy donors. Moreover, FAPα levels were correlated with skeletal disease burden in patients with FD. These findings support further investigation of FAPα as a potential imaging and/or biomarker of FD, as well as a pro-drug activator specific to FD tissue.
Microcystin-LR Regulates Interaction between Tumor Cells and Macrophages via the IRE1α/XBP1 Signaling Pathway to Promote the Progression of Colorectal Cancer
Authors: Wang Xiaochang , Song Yuechi , Lu Xiaohui , Zhang Hengshuo , Wang Ting
Published: August 2024

Microcystin-LR (MC-LR), a cyanobacterial toxin, is a potent carcinogen implicated in colorectal cancer (CRC) progression. However, its impact on the tumor microenvironment (TME) during CRC development remains poorly understood. This study investigates the interaction between tumor cells and macrophages mediated by MC-LR within the TME and its influence on CRC progression. CRC mice exposed to MC-LR demonstrated a significant transformation from adenoma to adenocarcinoma. The infiltration of macrophages increased, and the IRE1α/XBP1 pathway was activated in CRC cells after MC-LR exposure, influencing macrophage M2 polarization under co-culture conditions. Additionally, hexokinase 2 (HK2), a downstream target of the IRE1α/XBP1 pathway, was identified, regulating glycolysis and lactate production. The MC-LR-induced IRE1α/XBP1/HK2 axis enhanced lactate production in CRC cells, promoting M2 macrophage polarization. Furthermore, co-culturing MC-LR-exposed CRC cells with macrophages, along with the IRE1α/XBP1 pathway inhibitor 4μ8C and the hexokinase inhibitor 2-DG, suppressed M2 macrophage-induced CRC cell migration, clonogenicity, and M2 macrophage polarization. This study elucidates the mechanism by which MC-LR-mediated interactions through the IRE1α/XBP1 pathway promote CRC progression, highlighting potential therapeutic targets.
A Comparison of Two Versions of the CRISPR-Sirius System for the Live-Cell Visualization of the Borders of Topologically Associating Domains
Authors: Viushkov Vladimir S. , Lomov Nikolai A. , Rubtsov Mikhail A.
Published: August 2024

In recent years, various technologies have emerged for the imaging of chromatin loci in living cells via catalytically inactive Cas9 (dCas9). These technologies facilitate a deeper understanding of the mechanisms behind the chromatin dynamics and provide valuable kinetic data that could not have previously been obtained via FISH applied to fixed cells. However, such technologies are relatively complicated, as they involve the expression of several chimeric proteins as well as sgRNAs targeting the visualized loci, a process that entails many technical subtleties. Therefore, the effectiveness in visualizing a specific target locus may be quite low. In this study, we directly compared two versions of a previously published CRISPR-Sirius method based on the use of sgRNAs containing eight MS2 or PP7 stem loops and the expression of MCP or PCP fused to fluorescent proteins. We assessed the visualization efficiency for several unique genomic loci by comparing the two approaches in delivering sgRNA genes (transient transfection and lentiviral transduction), as well as two CRISPR-Sirius versions (with PCP and with MCP). The efficiency of visualization varied among the loci, and not all loci could be visualized. However, the MCP-sfGFP version provided more efficient visualization in terms of the number of cells with signals than PCP-sfGFP for all tested loci. We also showed that lentiviral transduction was more efficient in locus imaging than transient transfection for both CRISPR-Sirius systems. Most of the target loci in our study were located at the borders of topologically associating domains, and we defined a set of TAD borders that could be effectively visualized using the MCP-sfGFP version of the CRISPR-Sirius system. Altogether, our study validates the use of the CRISPR-Sirius technology for live-cell visualization and highlights various technical details that should be considered when using this method.
The Magnetic Properties of Fluorenyl and tert-Butyl-nitroxyl Acene-Based Derivatives: A Quantum Chemical Insight
Authors: Starikova Alyona A. , Chegerev Maxim G. , Starikov Andrey G. , Minkin Vladimir I.
Published: August 2024

Acenes, as a class of polycyclic aromatic hydrocarbons, attract considerable attention due to their remarkable nonlinear optical and magnetic properties. The aim of this work was the elucidation of the capability of radical-substituted acene derivatives to undergo spin-state-switching rearrangements. For this purpose, a series of acene-based (anthracene, pentacene, heptacene) molecules bearing fluorenyl and tert-butyl-nitroxyl radicals were investigated through comprehensive quantum chemical modeling of their electronic structures, isomerization and magnetic properties. A possible mechanism of the transformation of the closed-shell folded isomer into the biradical twisted structure of the bis-fluorenyl anthracene has been ascertained by applying the procedure of searching for the Minimum Energy Crossing Point. The conditions favoring the occurrence of spin-state-switching in such classes of polycyclic aromatic hydrocarbon derivatives have been formulated. By varying the size of an acene core and the type of radical substituent, the compounds capable of changing their magnetic properties have been revealed. Considering the unique features of radical-bearing acene-based derivatives, the proposed molecules can be used as functional materials in photonics and electronics.
Possible Role of NRF2 in Cell Response to OZOILE (Stable Ozonides) in Children Affected by Lichen Sclerosus of Foreskin
Authors: Saija Caterina , Currò Monica , Arena Salvatore , Bertuccio Maria Paola , Cassaro Fabiola , Montalto Angela Simona , Colonna Michele Rosario , Caccamo Daniela , Romeo Carmelo , Impellizzeri Pietro
Published: August 2024

Lichen sclerosus (LS) is a chronic inflammatory disease of the skin, and the gold standard for treatment is the use of the very potent topical steroids, but they can have side effects. Previously, we demonstrated that OZOILE (stable ozonides) were effective in children affected by LS, reducing the inflammatory process and stimulating tissue regeneration of the foreskin, showing a similar efficacy to steroid treatment. In this study, the modulation of inflammatory and oxidative stress pathways was evaluated by qRT-PCR and Western blotting in foreskins affected by LS removed from patients untreated or treated with OZOILE or corticosteroid cream formulations for 7 days before circumcision. OZOILE induced a significant increase in NRF2 and SOD2 levels, while it did not produce change in MIF, NF-kB subunits, and MMPs in comparison to untreated foreskins. Conversely, steroid topical treatment produced a significant reduction in the expression of p65, MIF, and MMP9, but it did not cause variation in NRF2 and SOD2 levels. These results demonstrate that the use of OZOILE as cream formulation exhibits effects on NRF2 signaling, and it does not induce NF-κB activation, unlike corticosteroids. On the basis of our biochemical data, further studies evaluating the role of NRF2 signaling cascade are necessary.
Fonseca’s Questionnaire Is a Useful Tool for Carrying Out the Initial Evaluation of Temporomandibular Disorders in Dental Students
Authors: Mitro Valeria , Caso Angela Rosa , Sacchi Federica , Gilli Massimiliano , Lombardo Guido , Monarchi Gabriele , Pagano Stefano , Tullio Antonio
Published: August 2024

Background: Temporomandibular disorders (TMDs) represent a prevalent multifactorial condition that impacts a significant portion of the global population. The objective of this study was to employ Fonseca’s questionnaire for an initial assessment of TMDs. Methods: A cross-sectional study was conducted on a sample of 250 undergraduates from the Dental School of the University of Perugia, Italy. The chi-square test, with a significance level set at p < 0.05, was used to evaluate a statistically significant relationship between TMDs and several variables such as gender, age, employed/unemployed, and physically active or not. Results: The data obtained through the questionnaire indicated that a considerable percentage of students (78%) exhibited signs consistent with TMDs. The most frequently reported signs and symptoms included psychological stress (49.6%), dental clenching and grinding (34%), joint clicking (33.6%), frequent headaches (15.2%), and neck pain (23.2%). Notably, when considering moderate to severe symptoms of TMDs, females were more significantly affected than males. Furthermore, factors such as age, employment status, and physical activity did not appear to influence the prevalence of TMDs. Conclusions: The high prevalence of TMDs identified within this young population (university students), as measured by this questionnaire (albeit warranting validation through more rigorous methodologies) underscores the necessity for the implementation of new preventive strategies that specifically address this demographic.
Characterization of Chromium Cations in CrAPO-5 Metal Aluminophosphate
Authors: Zubkov Sergei , Finashina Elena , Zakharov Valery , Kustov Leonid
Published: August 2024

Chromium-substituted aluminophosphate (CrAPO-5) with the AFI crystal structure was prepared for the first time by using microwave conditions at the stage of gel formation and crystallization. This approach allowed the reduction of the time required for the synthesis of CrAPO-5 from 60–70 h to 6 h. CrAPO-5 metal aluminophosphate prepared by microwave-assisted synthesis is studied by UV-visible and IR spectroscopy and X-ray photoelectron spectroscopy. The material is characterized by the presence of Cr3+ and Cr2+ ions in the framework with predominating Cr3+ ions introduced via isomorphous substitution, as well as some minor amounts of extra-framework Cr3+ species, which are present presumably in the state of α-Cr2O3. The latter species can be partially reduced to Cr2+ species in the presence of CO or H2. XPS study of CrAPO-5 revealed the presence of Cr3+ ions in the framework. A TPR experiment showed that the reduction of chromium starts at about 450–500 °C.
The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists
Authors: Nardone Valerio , Marmorino Federica , Germani Marco Maria , Cichowska-Cwalińska Natalia , Menditti Vittorio Salvatore , Gallo Paolo , Studiale Vittorio , Taravella Ada , Landi Matteo , Reginelli Alfonso , Cappabianca Salvatore , Girnyi Sergii , Cwalinski Tomasz , Boccardi Virginia , Goyal Aman , Skokowski Jaroslaw , Oviedo Rodolfo J. , Abou-Mrad Adel , Marano Luigi
Published: August 2024

The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-art cancer treatment, facilitating collaborative diagnosis and management by a diverse team of specialists. Despite the clear benefits in personalized patient care and improved outcomes, the increasing burden on MTBs due to rising cancer incidence and financial constraints necessitates innovative solutions. The advent of artificial intelligence (AI) in the medical field offers a promising avenue to support clinical decision-making. This review explores the perspectives of clinicians dedicated to the care of cancer patients—surgeons, medical oncologists, and radiation oncologists—on the application of AI within MTBs. Additionally, it examines the role of AI across various clinical specialties involved in cancer diagnosis and treatment. By analyzing both the potential and the challenges, this study underscores how AI can enhance multidisciplinary discussions and optimize treatment plans. The findings highlight the transformative role that AI may play in refining oncology care and sustaining the efficacy of MTBs amidst growing clinical demands.
The Effects of Land Use Changes on the Distribution of the Chinese Endemic Species of Brown-Eared Pheasant
Authors: Zhao Yue , Dang Cuiying , Liu Yaoguo , Xu Shicai , Zhu Mengyan
Published: August 2024

The Chinese government has undertaken a significant forest restoration project, leading to a notable increase in forested areas. Despite this achievement, there is uncertainty regarding its impact on wildlife protection. To assess this, we utilized high-resolution remote sensing data to gather information on land use, bioclimatic conditions, geography, and human activity. This information was used to model and analyze changes in suitable habitats for Chinese endemic brown-eared pheasants over the past 30 years to determine the effects of the forest restoration project on wildlife habitats. Our analysis revealed that although the suitable habitat area for the brown-eared pheasant has expanded, the increased forested area did not influence their distribution. Our study also found that increasing elevation and decreasing grassland area in landscape patches promoted the distribution of brown-eared pheasants. Furthermore, the annual variation of the min temperature of coldest month and annual precipitation is an important factor affecting the suitable habitat distribution of brown-eared pheasants. Research showed that the suitable habitat of brown-eared pheasant is seriously fragmented, and the connectivity between habitats should be strengthened in the future. Based on our findings, we believe that existing forest restoration project policies cannot effectively protect wildlife due to neglecting key environmental factors at the landscape scale. Therefore, we recommend developing refined land use management policies at the landscape level to guide future ecological protection and biodiversity conservation. These findings significantly affect policy and future research on wildlife protection and forest restoration.
Diagnostic Performance of a Deep Learning-Powered Application for Aortic Dissection Triage Prioritization and Classification
Authors: Laletin Vladimir , Ayobi Angela , Chang Peter D. , Chow Daniel S. , Soun Jennifer E. , Junn Jacqueline C. , Scudeler Marlene , Quenet Sarah , Tassy Maxime , Avare Christophe , Roca-Sogorb Mar , Chaibi Yasmina
Published: August 2024

This multicenter retrospective study evaluated the diagnostic performance of a deep learning (DL)-based application for detecting, classifying, and highlighting suspected aortic dissections (ADs) on chest and thoraco-abdominal CT angiography (CTA) scans. CTA scans from over 200 U.S. and European cities acquired on 52 scanner models from six manufacturers were retrospectively collected and processed by CINA-CHEST (AD) (Avicenna.AI, La Ciotat, France) device. The diagnostic performance of the device was compared with the ground truth established by the majority agreement of three U.S. board-certified radiologists. Furthermore, the DL algorithm’s time to notification was evaluated to demonstrate clinical effectiveness. The study included 1303 CTAs (mean age 58.8 ± 16.4 years old, 46.7% male, 10.5% positive). The device demonstrated a sensitivity of 94.2% [95% CI: 88.8–97.5%] and a specificity of 97.3% [95% CI: 96.2–98.1%]. The application classified positive cases by the AD type with an accuracy of 99.5% [95% CI: 98.9–99.8%] for type A and 97.5 [95% CI: 96.4–98.3%] for type B. The application did not miss any type A cases. The device flagged 32 cases incorrectly, primarily due to acquisition artefacts and aortic pathologies mimicking AD. The mean time to process and notify of potential AD cases was 27.9 ± 8.7 s. This deep learning-based application demonstrated a strong performance in detecting and classifying aortic dissection cases, potentially enabling faster triage of these urgent cases in clinical settings.
High-Frequency Ultrasound in the Assessment of Cellulite—Correlation between Ultrasound-Derived Measurements, Clinical Assessment, and Nürnberger–Müller Scale Scores
Authors: Mlosek Robert Krzysztof , Malinowska Sylwia Patrycja
Published: August 2024

Background: Cellulite is a cosmetic defect of multifactorial etiology that affects over 90% of women worldwide. Cellulite-induced skin changes are undesirable and negatively affect self-esteem. Despite a plethora of cellulite-reducing treatments, we still lack objective tools to enable accurate diagnosis and treatment efficacy assessment. The aim of this study was to determine whether high-frequency ultrasound can be helpful in assessing cellulite and whether there is an association between ultrasound-derived measurements, parameters ascertained clinically, and cellulite assessment scale scores. Methods: The study group consisted of 114 women with cellulite in their posterior thighs, assessed using the Nürnberger–Müller scale. Two types of ultrasound devices were used in this study: a conventional scanner with a linear transducer and a skin-dedicated scanner equipped with a mechanical transducer. We used high-frequency ultrasonography to determine epidermal thickness, dermal thickness, the surface area of fat protrusions at the dermal subcutaneous junction, and the thickness and stiffness of the subcutaneous tissue (ultrasound elastography). Results: There was a correlation between cellulite severity and subcutaneous tissue thickness (r = 0.63), the surface area of fat protrusions at the dermal subcutaneous junction (r = 0.64), and the elastographic strain ratio (r = 0.51). An association was also demonstrated between thigh circumference and subcutaneous tissue thickness (r = 0.48). There was a significant difference in the assessed parameters between the subgroups identified by cellulite severity scores. Conclusions: Ultrasound-determined surface area of fat protrusions at the dermal subcutaneous junction as well as the thickness and stiffness of the subcutaneous tissue seem useful in cellulite assessment. Thus, ultrasonography has the potential to become a common tool in aesthetic medicine and cosmetology.
Distributed Identity Authentication with Lenstra–Lenstra–Lovász Algorithm–Ciphertext Policy Attribute-Based Encryption from Lattices: An Efficient Approach Based on Ring Learning with Errors Problem
Authors: Yuan Qi , Yuan Hao , Zhao Jing , Zhou Meitong , Shao Yue , Wang Yanchun , Zhao Shuo
Published: August 2024

In recent years, research on attribute-based encryption (ABE) has expanded into the quantum domain. Because a traditional single authority can cause the potential single point of failure, an improved lattice-based quantum-resistant identity authentication and policy attribute encryption scheme is proposed, in which the generation of random values is optimized by adjusting parameters in the Gaussian sampling algorithm to improve overall performance. Additionally, in the key generation phase, attributes are processed according to their shared nature, which reduces the computational overhead of the authorization authority. In the decryption phase, the basis transformation of the Lenstra–Lenstra–Lovász (LLL) lattice reduction algorithm is utilized to rapidly convert shared matrices into the shortest vector form, which can reduce the computational cost of linear space checks. The experimental results demonstrate that the proposed method not only improves efficiency but also enhances security compared with related schemes.
Uncertainties in Plant Species Niche Modeling under Climate Change Scenarios
Authors: Passos Isabel , Figueiredo Albano , Almeida Alice Maria , Ribeiro Maria Margarida
Published: August 2024

Species distribution models (SDMs) have been used to forecast the impact of climate change on species’ potential distribution, with results that might support decisions for conservation and biodiversity management. Despite their vulnerability to parameterization and data quality input, SDM use has been increasing in the last decades. In fact, inappropriate inputs and the lack of awareness about the effects of methodological decisions on results can lead to potential unreliability in results, a problem that might gain relevance when SDMs are used to predict climate change impacts on species-suitable areas. Aiming to assess how far such a topic is considered, an analysis of the calibration data and methodological decisions was conducted for recent publications (2018 to 2022) that include SDMs in this context, aiming to identify putative deviations from the consensual best practices. Results show that the parameters presented more consistently are the algorithm in use (MaxEnt was used in 98% of the studies), the accuracy measures, and the time windows. But many papers fail to specify other parameters, limiting the reproducibility of the studies. Some papers fail to provide information about calibration procedures, others consider only a fraction of the species’ range, and others provide no justification for including specific variables in the model. These options can decrease reliability in predictions under future scenarios, since data provided to the model are inaccurate from the start or there is insufficient information for output discussion.
Can Social Identities Improve Working Students’ Academic and Social Outcomes? Lessons from Three Studies
Authors: Grozev Vladislav H. , Easterbrook Matthew J.
Published: August 2024

Previous research has linked working for pay while attending university with negative academic and health outcomes; yet, working students are often resilient when experiencing such adverse circumstances. This makes it crucial to explore potential psychological mechanisms that transform adverse experiences into sources of motivation and persistence for working students. We explore one mechanism—social identification—and its different foci—identifying as a student, employee, working student, or a student of one’s discipline of study—as potential predictors of important academic (academic self-efficacy, approaches to learning, and academic achievement) and social (status in society) outcomes in three cross-sectional studies. In Study 1, part-time working hours (but not identification processes) were associated with academic self-efficacy. In Study 2, discipline identification and part-time working hours were associated with using deep approaches to learning. In Study 3, student identification was associated with increased status in society. Overall, discipline identification may be solely linked to academic outcomes, but student identification should be explored further as a potential enhancer of social and graduate outcomes. We discuss additional mechanisms that can help to transform working students’ experiences through their social identities and suggest boundary conditions that can affect the link between these identities and important outcomes.
Predicting Economic Trends and Stock Market Prices with Deep Learning and Advanced Machine Learning Techniques
Authors: Chang Victor , Xu Qianwen Ariel , Chidozie Anyamele , Wang Hai
Published: August 2024

The volatile and non-linear nature of stock market data, particularly in the post-pandemic era, poses significant challenges for accurate financial forecasting. To address these challenges, this research develops advanced deep learning and machine learning algorithms to predict financial trends, quantify risks, and forecast stock prices, focusing on the technology sector. Our study seeks to answer the following question: “Which deep learning and supervised machine learning algorithms are the most accurate and efficient in predicting economic trends and stock market prices, and under what conditions do they perform best?” We focus on two advanced recurrent neural network (RNN) models, long short-term memory (LSTM) and Gated Recurrent Unit (GRU), to evaluate their efficiency in predicting technology industry stock prices. Additionally, we integrate statistical methods such as autoregressive integrated moving average (ARIMA) and Facebook Prophet and machine learning algorithms like Extreme Gradient Boosting (XGBoost) to enhance the robustness of our predictions. Unlike classical statistical algorithms, LSTM and GRU models can identify and retain important data sequences, enabling more accurate predictions. Our experimental results show that the GRU model outperforms the LSTM model in terms of prediction accuracy and training time across multiple metrics such as RMSE and MAE. This study offers crucial insights into the predictive capabilities of deep learning models and advanced machine learning techniques for financial forecasting, highlighting the potential of GRU and XGBoost for more accurate and efficient stock price prediction in the technology sector.
GCN-Transformer-Based Spatio-Temporal Load Forecasting for EV Battery Swapping Stations under Differential Couplings
Authors: Hu Xiao , Zhang Zezhen , Fan Zhiyu , Yang Jinduo , Yang Jiaquan , Li Shaolun , He Xuehao
Published: August 2024

To address the challenge of power absorption in grids with high renewable energy integration, electric vehicle battery swapping stations (EVBSSs) serve as critically important flexible resources. Current research on load forecasting for EVBSSs primarily employs Transformer models, which have increasingly shown a lack of adaptability to the rapid growth in scale and complexity. This paper proposes a novel data-driven forecasting model that combines the geographical feature extraction capability of graph convolutional networks (GCNs) with the multitask learning capability of Transformers. The GCN-Transformer model first leverages Spearman’s rank correlation to create a multinode feature set encompassing date, weather, and historical load data. It then employs data-adaptive graph generation for dynamic spatio-temporal graph construction and graph convolutional layers for spatial aggregation tailored to each node. Unique swapping patterns are identified through node-adaptive parameter learning, while the temporal dynamics of multidimensional features are managed by the Transformer’s components. Numerical results demonstrate enhanced accuracy and efficiency in load forecasting for multiple and widely distributed EVBSSs.
Two-Phase Lattice Boltzmann Study on Heat Transfer and Flow Characteristics of Nanofluids in Solar Cell Cooling
Authors: Liu Hui , Bao Minle , Gong Luyuan , Shen Shengqiang , Guo Yali
Published: August 2024

During solar cell operation, most light energy converts to heat, raising the battery temperature and reducing photoelectric conversion efficiency. Thus, lowering the temperature of solar cells is essential. Nanofluids, with their superior heat transfer capabilities, present a potential solution to this issue. This study investigates the mechanism of enhanced heat transfer by nanofluids in two-dimensional rectangular microchannels using the two-phase lattice Boltzmann method. The results indicate a 3.53% to 22.40% increase in nanofluid heat transfer, with 0.67% to 6.24% attributed to nanoparticle–fluid interactions. As volume fraction (φ) increases and particle radius (R) decreases, the heat transfer capability of the nanofluid improves, while the frictional resistance is almost unaffected. Therefore, the performance evaluation criterion (PEC) of the nanofluid increases, reaching a maximum value of 1.225 at φ = 3% and R = 10 nm. This paper quantitatively analyzes the interaction forces and thermal physical parameters of nanofluids, providing insights into their heat transfer mechanisms. Additionally, the economic feasibility of nanofluids is examined, facilitating their practical application, particularly in solar cell cooling.
Heat Pipe-Based Cooling Enhancement for Photovoltaic Modules: Experimental and Numerical Investigation
Authors: Ma Shuailing , Jin Yingai , Alam Firoz
Published: August 2024

High temperatures in photovoltaic (PV) modules lead to the degradation of electrical efficiency. To address the challenge of reducing the temperature of photovoltaic modules and enhancing their electrical power output efficiency, a simple but efficient photovoltaic cooling system based on heat pipes (PV-HP) is introduced in this study. Through experimental and numerical investigations, this study delves into the temperature characteristics and power output performance of the PV-HP system. Orthogonal tests are conducted to discern the influence of different factors on the PV-HP system. The experimental findings indicate that the performance of the PV-HP system is superior to that of the single system without heat pipes. The numerical simulation shows the effects of system structural parameters (number of heat pipes, angle of heat pipe condensation section) on system temperature and power output performance. The numerical simulation results show that increasing the angle of the heat pipe condensation section and the number of heat pipes leads to a significant drop in system temperature and an increase in the efficiency of the photovoltaic cells.
Convection Heat Transfer and Performance Analysis of a Triply Periodic Minimal Surface (TPMS) for a Novel Heat Exchanger
Authors: Saghir Mohamad Ziad , Yahya Mohammad
Published: August 2024

Heat exchangers are necessary in most engineering systems that move thermal energy from a hot source to a colder location. The development of additive manufacturing technology facilitates the design and optimization of heat exchangers by introducing triply periodic minimal surface (TPMS) structures. TPMSs have shown excellent mechanical and thermal performance, which can improve heat energy transfer efficiency in heat exchangers. This current study intends to design and develop efficient, lightweight heat exchangers for aerospace and space applications. Using the TPMS structure, a porous construction encloses a horizontal tube that circulates heated fluid. Low-temperature water circulates inside a rectangular box that houses the complete system to remove heat from the horizontal pipe. Three porous structures, the gyroid, diamond, and FKS structures, were employed and examined. Porous models with various porosities and surface areas (15 cm2 and 24 cm2) were investigated. The results revealed that the gyroid structure exhibits the highest Nusselt number for heat removal (Nu max = 2250), confirming the highest heat transfer and lowest pressure drop among the three structures under investigation. The maximum Nusselt number obtained for the FKS structure is less than 1000, whereas, for the diamond structure, it is near 1250. A linear variation in the average Nusselt number as a function of the structure surface area was found for the FKS and diamond structures. In contrast, nonlinearity was observed in the gyroid structures.
Estimation of the Values of Electrical Shock Currents during Live-Line Work in Multi-Circuit, Multi-Voltage HVAC Transmission Lines
Authors: Dziendziel Agnieszka
Published: August 2024

This article covers the analysis of voltages induced on the conductors of a de-energized circuit of a multi-circuit, multi-voltage HVAC transmission line. As a result of the multiplied interactions between the circuits in such lines, the expected electrical shock currents (touch currents) to which a lineman performing live work on such a line may be exposed are determined. A number of supporting structures of three- and four-circuit lines with various degrees of geometric asymmetry are analyzed. Analyses have shown that in multi-circuit lines in which circuits of different voltages are carried on a common structure, despite the outage of one of the circuits, touch voltages and electrical shock currents (touch currents) exceeding the permissible values can be expected on its conductors, endangering the safety of the lineman. The arrangements of s in such lines that provide the smallest values of touch currents are indicated.
Research on Hybrid Logic Dynamic Model and Voltage Predictive Control of Photovoltaic Storage System
Authors: Zhao Haibo , Xing Yahong , Zhou Chengpeng , Wang Yao , Duan Hui , Liu Kai , Jiang Shigong
Published: August 2024

This paper investigates microgrid systems characterized by the coexistence of discrete events and continuous events, a typical hybrid system. By selecting the charging and discharging processes of the energy storage unit as logical variables, a mixed logical dynamic (MLD) model for the microgrid in islanded mode is established. Based on this model, model predictive control (MPC) theory is employed to optimize the energy management strategy, aiming to stabilize the DC bus voltage of the photovoltaic (PV) unit and minimize the switching frequency of the energy storage unit’s charging and discharging processes during system operation.