bluuebunny/crossref_metadata_2025 huggingface dataset:
A New Kinematical Admissible Translational–Rotational Failure Mechanism Coupling with the Complex Variable Method for Stability Analyses of Saturated Shallow Square Tunnels
Authors: Peng Zhong-Zheng , Qian Ze-Hang
Published: May 2023

Tunnels are commonly constructed in water-bearing zones, which necessitates stability analyses of saturated tunnels based on the upper bound of the plastic theory. Previous kinematical approaches have the following drawbacks: (1) using an empirical approach to estimate pore-water pressure distributions; (2) using failure mechanisms that are not rigorously kinematically admissible. To overcome these shortcomings, we proposed a rigorously kinematically admissible translational–rotational failure mechanism for an underwater shallow square tunnel where velocity discontinuity surfaces were derived. Then, the pore-water pressure field surrounding the tunnel under the boundary of constant water pressure is analytically generated based on the complex variable method and imported into the kinematically admissible velocity field. Work rates performed by external forces and the internal dissipation rate are numerically computed to formulate the power balance equation, followed by a mixed optimization algorithm to capture the critical states of the surrounding soils of tunnels. The outcomes of pore-water pressure distributions, safety factors, and failure mechanisms are in tandem with those given by the numerical simulation but show higher computational efficiency than the numerical simulation. In the end, we highlight the advantages of the proposed model over the empirical approach, where soil properties and water table elevation effects are analyzed.
Production, Characterization, and Activation of Biochars from a Mixture of Waste Insulation Electric Cables (WIEC) and Waste Lignocellulosic Biomass (WLB)
Authors: Mota-Panizio Roberta , Assis Ana , Carmo-Calado Luís , Nobre Catarina , Longo Andrei , Silveira José , Goncalves Maria Margarida , Brito Paulo
Published: May 2023

Waste insulation electrical cables (WIEC) currently do not have an added value, due to their physical–chemical characteristics. Carbonization is known to enhance feedstock properties, particularly fuel and material properties; as such, this article aimed to study the production and activation of biochars using WIEC and lignocellulosic biomass wastes as feedstock. Biochars were produced in a ceramic kiln with an average capacity of 15 kg at different temperatures, namely 300, 350 and 400 °C. After production, the biochars were further submitted to a washing process with water heated to 95 °C ± 5 °C and to an activation process with 2 N KOH. All biochars (after production, washing and activation) were characterized regarding an elemental analysis, thermogravimetric analysis, heating value, chlorine removal, ash content, apparent density and surface area. The main results showed that the increase in carbonization temperature from 300 to 400 °C caused the produced biochars to present a lower amount of oxygen and volatile matter, increased heating value, greater chlorine removal and increased ash content. Furthermore, the activation process increased the surface area of biochars as the production temperature increased. Overall, the carbonization of WIEC mixed with lignocellulosic wastes showed potential in enhancing these waste physical and chemical properties, with prospects to yield added-value products that activates biochar.
Short-Term TERT Inhibition Impairs Cellular Proliferation via a Telomere Length-Independent Mechanism and Can Be Exploited as a Potential Anticancer Approach
Authors: Amin Aamir , Morello Marzia , Petrara Maria Raffaella , Rizzo Beatrice , Argenton Francesco , De Rossi Anita , Giunco Silvia
Published: May 2023

Telomerase reverse transcriptase (TERT), the catalytic component of telomerase, may also contribute to carcinogenesis via telomere-length independent mechanisms. Our previous in vitro and in vivo studies demonstrated that short-term telomerase inhibition by BIBR1532 impairs cell proliferation without affecting telomere length. Here, we show that the impaired cell cycle progression following short-term TERT inhibition by BIBR1532 in in vitro models of B-cell lymphoproliferative disorders, i.e., Epstein-Barr virus (EBV)-immortalized lymphoblastoid cell lines (LCLs), and B-cell malignancies, i.e., Burkitt’s lymphoma (BL) cell lines, is characterized by a significant reduction in NF-κB p65 nuclear levels leading to the downregulation of its target gene MYC. MYC downregulation was associated with increased expression and nuclear localization of P21, thus promoting its cell cycle inhibitory function. Consistently, treatment with BIBR1532 in wild-type zebrafish embryos significantly decreased Myc and increased p21 expression. The combination of BIBR1532 with antineoplastic drugs (cyclophosphamide or fludarabine) significantly reduced xenografted cells’ proliferation rate compared to monotherapy in the zebrafish xenograft model. Overall, these findings indicate that short-term inhibition of TERT impairs cell growth through the downregulation of MYC via NF-κB signalling and supports the use of TERT inhibitors in combination with antineoplastic drugs as an efficient anticancer strategy.
Tumor–Stroma Ratio in Colorectal Cancer—Comparison between Human Estimation and Automated Assessment
Authors: Firmbach Daniel , Benz Michaela , Kuritcyn Petr , Bruns Volker , Lang-Schwarz Corinna , Stuebs Frederik A. , Merkel Susanne , Leikauf Leah-Sophie , Braunschweig Anna-Lea , Oldenburger Angelika , Gloßner Laura , Abele Niklas , Eck Christine , Matek Christian , Hartmann Arndt , Geppert Carol I.
Published: May 2023

The tumor–stroma ratio (TSR) has been repeatedly shown to be a prognostic factor for survival prediction of different cancer types. However, an objective and reliable determination of the tumor–stroma ratio remains challenging. We present an easily adaptable deep learning model for accurately segmenting tumor regions in hematoxylin and eosin (H&E)-stained whole slide images (WSIs) of colon cancer patients into five distinct classes (tumor, stroma, necrosis, mucus, and background). The tumor–stroma ratio can be determined in the presence of necrotic or mucinous areas. We employ a few-shot model, eventually aiming for the easy adaptability of our approach to related segmentation tasks or other primaries, and compare the results to a well-established state-of-the art approach (U-Net). Both models achieve similar results with an overall accuracy of 86.5% and 86.7%, respectively, indicating that the adaptability does not lead to a significant decrease in accuracy. Moreover, we comprehensively compare with TSR estimates of human observers and examine in detail discrepancies and inter-rater reliability. Adding a second survey for segmentation quality on top of a first survey for TSR estimation, we found that TSR estimations of human observers are not as reliable a ground truth as previously thought.
The Epigenetic Reader Methyl-CpG-Binding Protein 2 (MeCP2) Is an Emerging Oncogene in Cancer Biology
Authors: Nejati-Koshki Kazem , Roberts Chris-Tiann , Babaei Ghader , Rastegar Mojgan
Published: May 2023

Epigenetic mechanisms are gene regulatory processes that control gene expression and cellular identity. Epigenetic factors include the “writers”, “readers”, and “erasers” of epigenetic modifications such as DNA methylation. Accordingly, the nuclear protein Methyl-CpG-Binding Protein 2 (MeCP2) is a reader of DNA methylation with key roles in cellular identity and function. Research studies have linked altered DNA methylation, deregulation of MeCP2 levels, or MECP2 gene mutations to different types of human disease. Due to the high expression level of MeCP2 in the brain, many studies have focused on its role in neurological and neurodevelopmental disorders. However, it is becoming increasingly apparent that MeCP2 also participates in the tumorigenesis of different types of human cancer, with potential oncogenic properties. It is well documented that aberrant epigenetic regulation such as altered DNA methylation may lead to cancer and the process of tumorigenesis. However, direct involvement of MeCP2 with that of human cancer was not fully investigated until lately. In recent years, a multitude of research studies from independent groups have explored the molecular mechanisms involving MeCP2 in a vast array of human cancers that focus on the oncogenic characteristics of MeCP2. Here, we provide an overview of the proposed role of MeCP2 as an emerging oncogene in different types of human cancer.
Involvement of Substance P (SP) and Its Related NK1 Receptor in Primary Sjögren’s Syndrome (pSS) Pathogenesis
Authors: Rosso Pamela , Fico Elena , Colafrancesco Serena , Bellizzi Mario Giuseppe , Priori Roberta , Cerbelli Bruna , Leopizzi Martina , Giordano Carla , Greco Antonio , Tirassa Paola , Severini Cinzia , Fusconi Massimo
Published: May 2023

Primary Sjögren’s Syndrome (pSS) is a systemic autoimmune disease that primarily attacks the lacrimal and salivary glands, resulting in impaired secretory function characterized by xerostomia and xerophthalmia. Patients with pSS have been shown to have impaired salivary gland innervation and altered circulating levels of neuropeptides thought to be a cause of decreased salivation, including substance P (SP). Using Western blot analysis and immunofluorescence studies, we examined the expression levels of SP and its preferred G protein-coupled TK Receptor 1 (NK1R) and apoptosis markers in biopsies of the minor salivary gland (MSG) from pSS patients compared with patients with idiopathic sicca syndrome. We confirmed a quantitative decrease in the amount of SP in the MSG of pSS patients and demonstrated a significant increase in NK1R levels compared with sicca subjects, indicating the involvement of SP fibers and NK1R in the impaired salivary secretion observed in pSS patients. Moreover, the increase in apoptosis (PARP-1 cleavage) in pSS patients was shown to be related to JNK phosphorylation. Since there is no satisfactory therapy for the treatment of secretory hypofunction in pSS patients, the SP pathway may be a new potential diagnostic tool or therapeutic target.
Impact of Combined Baricitinib and FTI Treatment on Adipogenesis in Hutchinson–Gilford Progeria Syndrome and Other Lipodystrophic Laminopathies
Authors: Hartinger Ramona , Lederer Eva-Maria , Schena Elisa , Lattanzi Giovanna , Djabali Karima
Published: May 2023

Hutchinson–Gilford progeria syndrome (HGPS) is a rare genetic disease that causes premature aging symptoms, such as vascular diseases, lipodystrophy, loss of bone mineral density, and alopecia. HGPS is mostly linked to a heterozygous and de novo mutation in the LMNA gene (c.1824 C > T; p.G608G), resulting in the production of a truncated prelamin A protein called “progerin”. Progerin accumulation causes nuclear dysfunction, premature senescence, and apoptosis. Here, we examined the effects of baricitinib (Bar), an FDA-approved JAK/STAT inhibitor, and a combination of Bar and lonafarnib (FTI) treatment on adipogenesis using skin-derived precursors (SKPs). We analyzed the effect of these treatments on the differentiation potential of SKPs isolated from pre-established human primary fibroblast cultures. Compared to mock-treated HGPS SKPs, Bar and Bar + FTI treatments improved the differentiation of HGPS SKPs into adipocytes and lipid droplet formation. Similarly, Bar and Bar + FTI treatments improved the differentiation of SKPs derived from patients with two other lipodystrophic diseases: familial partial lipodystrophy type 2 (FPLD2) and mandibuloacral dysplasia type B (MADB). Overall, the results show that Bar treatment improves adipogenesis and lipid droplet formation in HGPS, FPLD2, and MADB, indicating that Bar + FTI treatment might further ameliorate HGPS pathologies compared to lonafarnib treatment alone.
Antiphotoaging Effect of AGEs Blocker™ in UVB-Irradiated Cells and Skh:HR-1 Hairless Mice
Authors: Jung JaeIn , Choi Yean-Jung , Yoo JinHee , Choi Su-Young , Kim EunJi
Published: May 2023

Chronic exposure to ultraviolet (UV) radiation is a major cause of photoaging. It involves extrinsic aging, wrinkle formation, and skin dehydration, and leads to excessive production of active oxygen that adversely affects the skin. Here, we investigated the antiphotoaging effect of AGEs BlockerTM (AB), which comprises Korean mint aerial part and fig and goji berry fruits. Compared to its individual components, AB was more potent at increasing the expression of collagen and hyaluronic acid and decreasing MMP-1 expression in UVB-irradiated Hs68 fibroblasts and HaCaT keratinocytes. In Skh:HR-1 hairless mice exposed to 60 mJ/cm2 UVB for 12 weeks, oral administration of 20 or 200 mg/kg/day AB restored skin moisture by improving UVB-induced erythema, skin moisture, and transepidermal water loss, and alleviated photoaging by improving UVB-induced elasticity and wrinkles. Moreover, AB upregulated the mRNA levels of hyaluronic acid synthase and collagen-related Col1a1, Col3a1, and Col4a1 genes, increasing hyaluronic acid and collagen expression, respectively. AB inhibited UVB-induced MAPK and AP-1 (c-fos) activation, resulting in significantly downregulated expression of MMP-1 and -9, which are responsible for collagen degradation. AB also stimulated the expression and activity of antioxidative enzymes and reduced lipid peroxidation. Thus, AB is a potential preventive and therapeutic agent for photoaging.
Role of the Alkylation Patterning in the Performance of OTFTs: The Case of Thiophene-Functionalized Triindoles
Authors: Bujaldón Roger , Cuadrado Alba , Volyniuk Dmytro , Grazulevicius Juozas V. , Puigdollers Joaquim , Velasco Dolores
Published: May 2023

Organic semiconductors have emerged as potential alternatives to conventional inorganic materials due to their numerous assets and applications. In this context, the star-shaped triindole core stands as a promising system to design new organic materials with enticing charge-transporting properties. Herein, we present the synthesis of three thiophene-containing triindole derivatives that feature N-alkyl chains of different lengths, from methyl to decyl. The impact of the alkylation patterning on the crystallinity of the thin films and their resultant performance as semiconductor have been analyzed. All derivatives displayed p-type semiconductor properties, as demonstrated via both TOF measurements and integration in organic thin-film transistor (OTFT) devices. The attachment of longer alkyl chains and the functionalization of the silicon substrate with octadecyltrichlorosilane (OTS) prompted better OTFT characteristics, with a hole mobility value up to 5 × 10−4 cm2 V−1 s−1. As elucidated from the single crystal, this core is arranged in a convenient cofacial packing that maximizes the π-overlapping. The analysis of the thin films also corroborates that derivatives possessing longer N-alkyl chains confer a higher degree of order and a more adequate morphology.
Enzymatic Screening of β-Amyloid Precursor Protein-Based Substrates
Authors: Yamada Reo , Midorikawa Masaki , Asai Ayu , Takasu Norimasa , Fujii Ren , Kakizawa Taeko
Published: May 2023

We performed an enzymatic screening of synthetic peptides based on β-amyloid precursor protein substrates. The template peptide sequence was a decapeptide derived from our previous screening study, which determined several effective unnatural amino acids. In this study, new libraries containing some unnatural amino acid compounds were prepared in the solid phase and digested with the β-site amyloid precursor protein-cleaving enzyme. The reaction mixture was analyzed using high-performance liquid chromatography combined with mass spectrometry. The peptides that showed a higher cleavage than the template sequence were determined and reported.
Bond Behavior of WAAM Reinforcements in Comparison to Conventional Steel Reinforcements
Authors: Tischner Katharina , Rappl Stefan , Riegger Felix , Strasser Alexander , Osterminski Kai , Kraenkel Thomas , Baehr Siegfried , Zaeh Michael F. , Gehlen Christoph
Published: May 2023

Additive manufacturing is becoming increasingly important in the construction industry. Wire arc additive manufacturing (WAAM) can be integrated into the selective paste intrusion (SPI) to enable the simultaneous printing of reinforced concrete. The bond behavior of a WAAM reinforcement was investigated with pull-out tests and compared to alternative reinforcement types to analyze the stress transfer between the different components. In the first step, the surface of all the reinforcement types was recorded using a laser-based line scan measuring system. This permits the evaluation of the surface parameters, such as the surface roughness Rq, or the related rib area fR. The WAAM reinforcement showed a bond behavior in the pull-out tests that was comparable to a reinforcing steel bar. Both the bond stresses achieved, and the occurring scatter of the measurement results at the characteristic slip values were almost the same. Even without existing transverse ribs, the WAAM reinforcement reached maximum bond stresses similar to the reinforcing steel. An evaluation of the surface roughness revealed a linear relationship with the maximum bond stress achieved with a logarithmic scaling of Rq. The bond work Wτ, which is a measure of the system stiffness, showed that WAAM reinforcements and reinforcing steel bars have approximately similar behavior.
Differences in the Volatilomic Urinary Biosignature of Prostate Cancer Patients as a Feasibility Study for the Detection of Potential Biomarkers
Authors: Riccio Giulia , Berenguer Cristina V. , Perestrelo Rosa , Pereira Ferdinando , Berenguer Pedro , Ornelas Cristina P. , Sousa Ana Célia , Vital João Aragão , Pinto Maria do Carmo , Pereira Jorge A. M. , Greco Viviana , Câmara José S.
Published: May 2023

Prostate cancer (PCa) continues to be the second most common malignant tumour and the main cause of oncological death in men. Investigating endogenous volatile organic metabolites (VOMs) produced by various metabolic pathways is emerging as a novel, effective, and non-invasive source of information to establish the volatilomic biosignature of PCa. In this study, headspace solid-phase microextraction combined with gas chromatography–mass spectrometry (HS-SPME/GC-MS) was used to establish the urine volatilomic profile of PCa and identify VOMs that can discriminate between the two investigated groups. This non-invasive approach was applied to oncological patients (PCa group, n = 26) and cancer-free individuals (control group, n = 30), retrieving a total of 147 VOMs from various chemical families. This included terpenes, norisoprenoid, sesquiterpenes, phenolic, sulphur and furanic compounds, ketones, alcohols, esters, aldehydes, carboxylic acid, benzene and naphthalene derivatives, hydrocarbons, and heterocyclic hydrocarbons. The data matrix was subjected to multivariate analysis, namely partial least-squares discriminant analysis (PLS-DA). Accordingly, this analysis showed that the group under study presented different volatomic profiles and suggested potential PCa biomarkers. Nevertheless, a larger cohort of samples is required to boost the predictability and accuracy of the statistical models developed.
Genomic Diversity Analyses of Some Indigenous Montenegrin Sheep Populations
Authors: Djokic Milena , Drzaic Ivana , Shihabi Mario , Markovic Bozidarka , Cubric-Curik Vlatka
Published: May 2023

Montenegro has a great diversity of indigenous and locally developed sheep breeds, adapted to different regions and climates. However, the current trend of the steady decline in sheep populations means that some of them are threatened with extinction. The aim of this study was the investigation of the genetic diversity and population structure of five Montenegrin sheep populations, using the OvineSNP50K BeadChip. Data from the studied sheep were supplemented with publicly available genotypes of worldwide breeds to determine admixture contributions and genetic relationships. Higher genetic diversity and low inbreeding were observed in Pivska Pramenka and Sjenicka sheep, with Ho = 0.411, He = 0.423, and FROH>2Mb = 0.056 and Ho = 0.421, He = 0.421, and FROH>2Mb = 0.041, respectively. Zetska Zuja had much lower FIS (0.001) and high FROH inbreeding (0.090), indicating a small population size and genetic drift. An analysis of the genetic population structure showed that Montenegrin sheep populations are genetically distinct populations. This analysis revealed the presence of admixture in most sheep populations (high heterogeneity), while genetic purity was observed in Zetska Zuja. The obtained results will help in the conservation management of endangered Montenegrin sheep populations.
Unlocking Lethal Dingo Management in Australia
Authors: Boronyak Louise , Jacobs Brent , Smith Bradley
Published: May 2023

Adoption by livestock producers of preventive non-lethal innovations forms a critical pathway towards human and large carnivore coexistence. However, it is impeded by factors such as socio-cultural contexts, governing institutions, and ‘perverse’ economic incentives that result in a ‘lock-in’ of lethal control of carnivores in grazing systems. In Australian rangelands, the dingo is the dominant predator in conflict with ‘graziers’ and is subjected to lethal control measures despite evidence indicating that its presence in agricultural landscapes can provide multiple benefits. Here we explore the barriers to the uptake of preventive innovations in livestock grazing through 21 in-depth interviews conducted with Australian graziers, researchers, and conservation and government representatives. Drawing on Donella Meadow’s leverage points for system change framework, we focus, primarily, on barriers in the ‘political sphere’ because they appear to form the greatest impediment to the adoption of non-lethal tools and practices. These barriers are then discussed in relation to characteristics of lock-in traps (self-reinforcement, persistence, path dependencies, and undesirability) to assess how they constrain the promotion of human–dingo coexistence.
COVID-ConvNet: A Convolutional Neural Network Classifier for Diagnosing COVID-19 Infection
Authors: Alablani Ibtihal A. L. , Alenazi Mohammed J. F.
Published: May 2023

The novel coronavirus (COVID-19) pandemic still has a significant impact on the worldwide population’s health and well-being. Effective patient screening, including radiological examination employing chest radiography as one of the main screening modalities, is an important step in the battle against the disease. Indeed, the earliest studies on COVID-19 found that patients infected with COVID-19 present with characteristic anomalies in chest radiography. In this paper, we introduce COVID-ConvNet, a deep convolutional neural network (DCNN) design suitable for detecting COVID-19 symptoms from chest X-ray (CXR) scans. The proposed deep learning (DL) model was trained and evaluated using 21,165 CXR images from the COVID-19 Database, a publicly available dataset. The experimental results demonstrate that our COVID-ConvNet model has a high prediction accuracy at 97.43% and outperforms recent related works by up to 5.9% in terms of prediction accuracy.
Ultrahigh-Resolution Photon-Counting CT in Cadaveric Fracture Models: Spatial Frequency Is Not Everything
Authors: Patzer Theresa Sophie , Kunz Andreas Steven , Huflage Henner , Conrads Nora , Luetkens Karsten Sebastian , Pannenbecker Pauline , Paul Mila Marie , Ergün Süleyman , Bley Thorsten Alexander , Grunz Jan-Peter
Published: May 2023

In this study, the impact of reconstruction sharpness on the visualization of the appendicular skeleton in ultrahigh-resolution (UHR) photon-counting detector (PCD) CT was investigated. Sixteen cadaveric extremities (eight fractured) were examined with a standardized 120 kVp scan protocol (CTDIvol 10 mGy). Images were reconstructed with the sharpest non-UHR kernel (Br76) and all available UHR kernels (Br80 to Br96). Seven radiologists evaluated image quality and fracture assessability. Interrater agreement was assessed with the intraclass correlation coefficient. For quantitative comparisons, signal-to-noise-ratios (SNRs) were calculated. Subjective image quality was best for Br84 (median 1, interquartile range 1–3; p ≤ 0.003). Regarding fracture assessability, no significant difference was ascertained between Br76, Br80 and Br84 (p > 0.999), with inferior ratings for all sharper kernels (p < 0.001). Interrater agreement for image quality (0.795, 0.732–0.848; p < 0.001) and fracture assessability (0.880; 0.842–0.911; p < 0.001) was good. SNR was highest for Br76 (3.4, 3.0–3.9) with no significant difference to Br80 and Br84 (p > 0.999). Br76 and Br80 produced higher SNRs than all kernels sharper than Br84 (p ≤ 0.026). In conclusion, PCD-CT reconstructions with a moderate UHR kernel offer superior image quality for visualizing the appendicular skeleton. Fracture assessability benefits from sharp non-UHR and moderate UHR kernels, while ultra-sharp reconstructions incur augmented image noise.
Wnt Signaling Activation in Gingival Epithelial Cells and Macrophages of Experimental Periodontitis
Authors: Chen Ying , Hu Yang
Published: May 2023

Objective: Wingless/integrated (Wnt) signaling plays critical roles in maintaining environmental homeostasis and is also involved in the pathogenesis of inflammatory diseases. However, its role in macrophages during periodontitis is not well understood. The present study aims to investigate the interaction between Wnt signaling and macrophages in the context of periodontitis. Methods: Experimental periodontitis was induced in C57/BL6 mice using a Porphyromonas gingivalis (P.g)-associated ligature for 14 days. Immunohistochemistry was performed to study the expression of the pro-inflammatory cytokine tumor necrosis factor (TNF-α), the stabilization of β-catenin, and the macrophage marker F4/80 in the periodontal tissues. The effect of Wnt signaling on TNF-α was examined using Western blot analysis in Raw 264.7 murine macrophages stimulated by Wnt3a-conditioned medium, with or without Wnt3a antibody neutralization, and compared with primary cultured gingival epithelial cells (GECs). The effect of P.g lipopolysaccharide (LPS) on Wnt signaling was assessed by analyzing key components of the Wnt signaling pathway, including the activity of low-density lipoprotein receptor-related protein (LRP) 6 and nuclear accumulation of β-catenin in GEC and Raw 264.7 cells. Results: Over-expressions of TNF-α and activated β-catenin were presented in the macrophages in the gingiva from mice with P.g-associated ligature-induced periodontitis. The expression patterns of TNF-α and activated β-catenin were consistent with the expression of F4/80. In Raw 264.7 cells, activation of the Wnt signaling pathway led to an increase in TNF-α, but this effect was not observed in GEC. Additionally, treatment with LPS induced β-catenin accumulation and LRP6 activation in Raw 264.7 cells, which were blocked by the addition of Dickkopf-1(DKK1). Conclusions: Wnt signaling was aberrantly activated in the macrophages in experimental periodontitis. The activation of Wnt signaling in the macrophages may play a pro-inflammatory role in periodontitis. Targeting specific signaling pathways, such as the Wnt pathway, may hold promise for developing novel therapeutic interventions for periodontitis.
Psychosocial Screening in Adult Burns Inpatients within a Scottish Burns Unit
Authors: Lindsay Dawn , Kirkwood Kim , Crawford Rebecca
Published: May 2023

National Burns Care Standards (NBCS) within the UK recommend psychological care throughout the burn pathway and psychosocial screening of inpatients admitted for over 24 h, at a time when this is clinically appropriate and prior to discharge. This brief report presents preliminary data from an audit of psychosocial screening in adult burns inpatients within a Scottish Burns Unit over a three-year period. Results are reported on the frequency and type of psychosocial screening completed. Differences between the groups of inpatients who were screened and those not screened are presented and discussed with a focus on plans for increasing the number of inpatients screened and improvements in how psychosocial screening data is collected.
BSTC: A Fake Review Detection Model Based on a Pre-Trained Language Model and Convolutional Neural Network
Authors: Lu Junwen , Zhan Xintao , Liu Guanfeng , Zhan Xinrong , Deng Xiaolong
Published: May 2023

Detecting fake reviews can help customers make better purchasing decisions and maintain a positive online business environment. In recent years, pre-trained language models have significantly improved the performance of natural language processing tasks. These models are able to generate different representation vectors for each word in different contexts, thus solving the challenge of multiple meanings of a word, which traditional word vector methods such as Word2Vec cannot solve, and, therefore, better capturing the text’s contextual information. In addition, we consider that reviews generally contain rich opinion and sentiment expressions, while most pre-trained language models, including BERT, lack the consideration of sentiment knowledge in the pre-training stage. Based on the above considerations, we propose a new fake review detection model based on a pre-trained language model and convolutional neural network, which is called BSTC. BSTC considers BERT, SKEP, and TextCNN, where SKEP is a pre-trained language model based on sentiment knowledge enhancement. We conducted a series of experiments on three gold-standard datasets, and the findings illustrate that BSTC outperforms state-of-the-art methods in detecting fake reviews. It achieved the highest accuracy on all three gold-standard datasets—Hotel, Restaurant, and Doctor—with 93.44%, 91.25%, and 92.86%, respectively.
BIM to BEM Transition for Optimizing Envelope Design Selection to Enhance Building Energy Efficiency and Cost-Effectiveness
Authors: Truong Ngoc-Son , Luong Duc Long , Nguyen Quang Trung
Published: May 2023

This article focuses on developing an energy simulation model through Building Information Modeling (BIM) and Building Energy Modeling (BEM)to optimize energy in building design in Vietnam. Reducing the energy consumption in buildings will help reduce operating costs, impact the environment, and increase the efficiency of buildings. However, there is limited research on buildings with complex structures and configurations, detailed surface design, and envelope construction, especially in simulating details through BIM. The author proposes converting from BIM to BEM to simulate energy in buildings and optimize the factors related to building construction in the envelope design of the building. These factors include wall cladding materials, mirror materials, the window ratio on the walls, and other details. This study has effectively created an energy model for a public building, allowing for the calculation of the Energy Intensity Index (EUI) and annual energy costs for various scenarios. By altering factors associated with the design and construction process, the system has the potential to decrease both energy intensity and usage costs for the building. The study results will help designers and building managers improve and enhance energy efficiency in building projects.
Research Progress on Thermal Hydraulic Characteristics of Spent Fuel Pools: A Review
Authors: Xu Chende , Wang Zhengguang , Tang Shuai , Chi Xiangyu , Zhu Xixi , Li Yaru , Wang Naihua
Published: May 2023

Nuclear power plants (NPPs) produce large amounts of spent fuel while generating electricity. After the spent fuel is taken out of the reactor core, it still has a high decay heat and needs to be cooled for years or even decades before it can be reprocessed or buried deeply. Due to the long storage period of spent fuel, storage safety evaluation is a concern. In this regard, cooling systems are critical for the safe storage of spent fuel. Here, the research progress of cooling methods for spent fuel pools (SFPs) is reviewed, and the structural characteristics, application limitations and heat transfer performance of active and passive cooling technologies under accident conditions are discussed in detail. Moreover, future developments of SFPs are discussed, and the results of this review confirm that there is a great deal of research scope to improve the cooling performance and safety of spent fuel. This paper aims to provide a reference guide for engineers and will be highly beneficial to researchers engaged in spent fuel storage.
Development and Validation of the IAG Dynamic Stall Model in State-Space Representation for Wind Turbine Airfoils
Authors: Bangga Galih , Parkinson Steven , Collier William
Published: May 2023

Considering the dynamic stall effects in engineering calculations is essential for correcting the aerodynamic loads acting on wind turbines, both during power production and stand-still cases, and impacts significantly the turbine aeroelastic stability. The employed dynamic stall model needs to be accurate and robust for a wide range of airfoils and range of angle of attack. The present studies are intended to demonstrate the performance of a recently implemented “IAG dynamic stall” model in a wind turbine design tool Bladed. The model is transformed from the indicial type of formulation into a state-space representation. The new model is validated against measurement data and other dynamic stall models in Bladed for various flow conditions and airfoils. It is demonstrated that the new model is able to reproduce the measured dynamic polar accurately without airfoil specific parameter calibration and has a superior performance compared to the incompressible Beddoes–Leishman model and the Øye model in Bladed.
Security of Neural Network-Based Key Agreement Protocol for Smart Grids
Authors: Stypiński Miłosz , Niemiec Marcin
Published: May 2023

Recent developments in quantum computing pose a significant threat to the asymmetric cryptography currently in use. Neural cryptography offers a potential alternative that is resistant to attacks of known quantum computer algorithms. The considered solution is lightweight and computationally efficient. If a quantum computer algorithm were successfully implemented, it could expose IoT sensors and smart grid components to a wide range of attack vectors. Given the lightweight nature of neural cryptography and the potential risks, neural cryptography could have potential applications in both IoT sensors and smart grid systems. This paper evaluates one of the suggested enhancements: the use of integer-valued input vectors that accelerate the synchronization of the Tree Parity Machine. This enhancement introduces a new parameter M that indicates the minimum and maximum values of input vector elements. This study evaluates the nonbinary version of the mutual learning algorithm in a simulated insecure environment. The results indicate that, while the Nonbinary Tree Parity Machine may involve some trade-offs between security and synchronization time, the speed improvement is more substantial than the decrease in security. The impact of this enhancement is particularly significant for smaller adjustments to parameter M.
Advances in Multifield and Multiscale Coupling of Rock Engineering
Authors: Zhu Chun , Zhang Jiabing , Shang Junlong , Ren Dazhong , He Manchao
Published: May 2023

In deep rock engineering, the stability of the rock is a key factor [...]
Failure Analysis of Novel BOSS Structures for Type IV Hydrogen Storage Vessels
Authors: Zhu Jiqi , Li Yan , Cao Wenhong , Li Yuebing , Gao Zengliang
Published: May 2023

This study focuses on the critical connection area between type IV hydrogen storage vessels and external valves, which is commonly referred to as the BOSS structure. The novel BOSS structures were proposed to further ensure the safety of pressure vessels. In order to identify optimal structure that meet industrial requirements, finite element models were performed to analyze and compare the effectiveness of the proposed models in terms of strength, fatigue, and sealing performance. Some influences were discussed, including the angle of inclination of the stop-rotation platform and the number of sealing grooves in the BOSS structures. The results showed that the fatigue life of the proposed BOSS structures can exceed the design life of 30,000 cycles using austenitic stainless steel S31603. The maximum contact stresses were higher than the operating pressure of 58 MPa. Additionally, The BOSS structure model designed with a stop-rotation platform featuring a 65° tilt angle and two sealing grooves had the lowest mean square deviation of contact stress, which was 13.47 MPa, indicating reliable sealing performance.
Impact of MHT9002HV Tracked Harvester on Forest Soil after Logging in Steeply Sloping Terrain
Authors: Kormanek Mariusz , Dvořák Jiří , Tylek Paweł , Jankovský Martin , Nuhlíček Ondřej , Mateusiak Łukasz
Published: May 2023

The article presents the results of measurements regarding the impact of the MHT9002HV tracked harvester on surface deformations and changing the physical parameters of the soil of three operational trails. The measurements were made in the terrain with a longitudinal slope of up to 14.9° (33.2%) and a transverse slope of up to 8.8° (17.9%). Spruce deadwood trees in mountain forest habitats were harvested. Static Eijkelkamp Penetrologger 0615SA and dynamic own design penetrometer were used to measure penetration resistance, soil samples were taken to determine bulk density, moisture content, and ground deformations on the trails were measured with a laser profilometer. A statistically significant increase in soil penetration resistance measured with penetrometers occurred for trails in the left rut at a depth of 16–20 cm. The change in the bulk density and moisture content proved statistically insignificant. The maximum ground deformation on the trails reached an average of 5.9 cm. The selection of a machine with low unit pressures (33 kPa), under the given favorable atmospheric conditions (there was a high temperature reaching 35 °C), with low soil moisture, protective organic layer of high thickness, and post-limbing residues, was optimal. The comparison of the results of the compactness measurements made with different penetrometers shows that the values obtained for the static penetrometer 0615SA are lower than those of the dynamic penetrometer of our own design. This is due to the lack of registration of high compactness in the memory of the 0615SA device. In the case of the impact penetrometer measurement, this problem does not occur, however, the presented solution does not allow performing a large number of measurements, and data processing in the case of such a simple solution is tedious. There is a need to develop a new penetrometer useful for determining soil compaction under similar difficult measurement conditions.
Securing UAV Flying Base Station for Mobile Networking: A Review
Authors: Chang Sang-Yoon , Park Kyungmin , Kim Jonghyun , Kim Jinoh
Published: May 2023

A flying base station based on an unmanned aerial vehicle (UAV) uses its mobility to extend its connectivity coverage and improve its communication channel quality to achieve a greater communication rate and latency performances. While UAV flying base stations have been used in emergency events in 5G networking (sporadic and temporary), their use will significantly increase in 6G networking, as 6G expects reliable connectivity even in rural regions and requires high-performance communication channels and line-of-sight channels for millimeter wave (mmWave) communications. Securing the integrity and availability of the base station operations is critical because of the users’ increasing reliance on the connectivity provided by the base stations, e.g., the mobile user loses connectivity if the base station operation gets disrupted. This paper identifies the security issues and research gaps of flying base stations, focusing on their unique properties, while building on the existing research in wireless communications for stationary ground base stations and embedded control for UAV drones. More specifically, the flying base station’s user-dependent positioning, its battery-constrained power, and the dynamic and distributed operations cause vulnerabilities that are distinct from those in 5G and previous-generation mobile networking with stationary ground base stations. This paper reviews the relevant security research from the perspectives of communications (mobile computing, 5G networking, and distributed computing) and embedded/control systems (UAV vehicular positioning and battery control) and then identifies the security gaps and new issues emerging for flying base stations. Through this review paper, we inform readers of flying base station research, development, and standardization for future mobile and 6G networking.
Targeted Pre-Treatment of Hemp Fibers and the Effect on Mechanical Properties of Polymer Composites
Authors: Palanikumar K. , Natarajan Elango , Markandan Kalaimani , Ang Chun Kit , Franz Gérald
Published: May 2023

Research on plant-fiber-reinforced composites has gained significant research interest since it generates composites with exceptional mechanical properties; however, the potential of hemp fibers can only be fully exploited if the fibers are well separated from the bundle to achieve cellulose-rich fibers. This is because well-separated bast fibers that are long and exhibit higher fiber aspect ratio enhance the mechanical properties of the composite by influencing property translations upon loading. A key feature for successful implementation of natural fibers is to selectively remove non-cellulosic components of hemp fiber to yield cellulose-rich fibers with minimal defects. Targeted pre-treatment techniques have been commonly used to address the aforementioned concerns by optimizing properties on the fiber’s surface. This in turn improves interfacial bonding between the fibers and the hydrophobic polymer, enhances the robustness of hemp fibers by improving their thermal stability and increases resistance to microbial degradation. In this study, we comprehensively review the targeted pre-treatment techniques of hemp fiber and the effect of hemp fiber as a reinforcement on the mechanical properties of polymeric composites.
Effects of γ-Irradiated Date (Phoenix dactylifera) Fruit on Growth, Immunological and Antioxidant Parameters of Goldfish (Carassius auratus)
Authors: Heidarieh Marzieh , Gholamhosseini Amin , Sheikhzadeh Najmeh , Esteban Maria Angeles
Published: May 2023

The aim of this study was to evaluate the potential effects of γ-irradiated date palm fruit (Phoenix dactylifera), which is rich in phenolic acids and has important and varied biological bioactivities, on growth performance, mucosal immunity and liver antioxidant status in goldfish (Carassius auratus). The antioxidant activity, alongside the phenolic and flavonoid contents, were also determined in irradiated palm fruit extracts (IPFE). The results showed that IPFE5 had a higher antioxidant activity as well as heightened phenolic and flavonoid contents compared to IPFE10 and IPFE0. Meanwhile, goldfish specimens were randomly divided into three groups with three replicates in each. Subsequently, skin immunity and antioxidant activity in the livers of the goldfish were studied. The growth rates of fish fed with IPFE5 and IPFE10 were significantly higher (p < 0.05) compared to the CTR group. In addition, fish fed with the IPFE5 diet demonstrated increased mucosal immunity compared to the CTR group (p < 0.05). Lipid peroxidation levels as well as antioxidant enzyme activities were also higher in all the IPFE-fed groups compared to the CTR group (p < 0.05). These data showed that 40-day dietary administration of γ-irradiated date extract, especially IPFE5, improved growth performance, mucosal immunity, and liver antioxidant capacity in goldfish. The suitability of administrating this additive in the diet of farmed fish is discussed.
Effects of Selected Essential Oils on Listeria monocytogenes in Biofilms and in a Model Food System
Authors: Vidaković Knežević Suzana , Knežević Slobodan , Vranešević Jelena , Kravić Sneẑana Ž. , Lakićević Brankica , Kocić-Tanackov Sunčica , Karabasil Nedjeljko
Published: May 2023

The composition of 18 essential oils was determined using gas chromatography–mass spectrometry, and their antilisterial activity was evaluated by the disk diffusion method, followed by the determination of the minimum inhibitory and minimum bactericidal concentrations. The most active essential oils were oregano, thyme, cinnamon, winter savory, and clove, with MIC values ranging from 0.09 to 1.78 µL/mL. We investigated the biofilm-forming potential of Listeria monocytogenes on polystyrene at 5 °C, 15 °C, and 37 °C in three different media. The formation of biofilm was found to be dependent on the temperature and the availability of nutrients. After treatment with selected essential oils, the reduction in biofilm biomass was in the range of 32.61% and 78.62%. Micromorphological changes in the L. monocytogenes treated by oregano and thyme essential oils were observed in the form of impaired cell integrity and cell lyses by using scanning electron microscope. Oregano and thyme essential oils (MIC and 2MIC) significantly (p < 0.05) reduced the population of L. monocytogenes in minced pork meat during storage at 4 °C. In conclusion, the obtained results indicated the good activity of some selected essential oils on L. monocytogenes, with bacteriostatic, bactericidal, and antibiofilm effects at very low concentrations.
The Influence of Sustainability on Identities and Seafood Consumption: Implications for Food Systems Education for Generation Z
Authors: Gibson Kristin E. , Sanders Catherine E. , Byrd Allison R. , Lamm Kevan W. , Lamm Alexa J.
Published: May 2023

Seafood is a vital source of nutrition yet many consumers in the United States have been exposed to competing discourse about the industry’s environmental impacts, influencing consumption habits. Generation Z, a generational cohort whose members value the sustainability of their purchasing decisions, may have unique opinions regarding sustainable seafood given their sustainability values. This qualitative study explored Generation Z undergraduate students’ experiences with seafood and how they perceive the role of seafood in feeding people while sustaining the future natural environment. Data were collected using 11 focus groups in undergraduate classrooms. Researchers conducted an emergent thematic analysis and sufficient interrater reliability was established. Themes identified based on participants’ experience with seafood included geographic location, experience fishing or with fishermen, and seafood and family, implying place attachment and family identity were intertwined with consumption behaviors. Themes identified based on participants’ perception of seafood’s role in feeding people included sustainability, regulations, limited seafood consumption, and limited knowledge, implying Generation Z’s emerging status as the sustainability generation. Results indicate educators should focus on how sustainability can be emphasized in the classroom with clear actions undergraduate Generation Z students can take to improve sustainability.