bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Continuous Machining Strategy for Five-Axis Machine Tool: Five-Axis Linkage to Four-Axis Linkage
Authors: Wang Yesong , Ji Liang , Dong Jiashang , Liu Manxian , Liu Jiang
Published: June 2023

The article presents a novel strategy for enhancing the efficiency of machines that are used for complex structure machining. It proposes a low-cost five-axis four-linkage milling system as an alternative to the more expensive five-axis five-linkage system. Kinematic analysis of the machine tool is conducted to establish a correlation between the tool location data and the displacement of kinematic axes. An interpolation algorithm is then devised to determine a four-axis linkage milling strategy. The theoretical errors of the interpolation trajectory are observed to be reduced following the transformation. The research employs impeller processing as a case study, wherein the five-axis linkage machining path is translated into a more efficient five-axis four-linkage path using the interpolation algorithm. The practical application of this novel milling strategy confirms its effectiveness in processing the integral impeller within acceptable efficiency parameters. The results provide a theoretical foundation for the practical application of the low-cost five-axis four-linkage machining strategy in high-precision five-axis five-linkage machine tools.
The Potential Therapeutic Role of Green-Synthesized Selenium Nanoparticles Using Carvacrol in Human Breast Cancer MCF-7 Cells
Authors: Othman Mohamed S. , Aboelnaga Shimaa M. , Habotta Ola A. , Moneim Ahmed E. Abdel , Hussein Manal M.
Published: June 2023

The disadvantages and side effects of currently available breast cancer (BC) therapies have compelled researchers to seek new therapeutic strategies. This study was designed to investigate the effect of selenium nanoparticles biosynthesized with carvacrol (SeNPs-CV) on breast cancer (MCF-7) cell lines and to explore possible underlying pathways. Flow cytometry, MTT assays, and various biochemical techniques were used to evaluate the anti-proliferative effects of SeNPs-CV on MCF-7 cells. Cytotoxicity assays showed that treatment with SeNPs-CV could effectively reduce MCF-7 cell proliferation and viability in a dose-dependent manner. However, SeNPs-CV had no cytotoxic effect against Vero cells. Furthermore, SeNPs-CV showed better anticancer activity than metal nanoparticles of selenium evidenced by the lower IC50 obtained in MCF-7 cells (8.3 µg/mL versus 41.6 µg/mL, respectively). Treatment with SeNPs-CV directly targeted Bcl-2, Bax, and caspase-3, leading to the mitochondrial leakage of cytochrome C and subsequent activation of the apoptotic cascade in MCF-7 cells. In addition, MCF-7 cells treated with SeNPs-CV exhibited elevated levels of oxidative stress, as indicated by noticeable rises in 8-OHDG, ROS, NO, and LPO, paralleled by significant exhaustion in GSH levels and antioxidant enzymes activity. In addition, the administration of SeNPs-CV induced the inflammatory mediator IL-1β and downregulated the expression of cell-proliferating nuclear antigen (PCNA) in MCF-7 cells, which plays a critical role in apoptosis. Therefore, the ability of SeNPs-CV to fight BC may be due to its ability to induce oxidative stress, inflammation, and apoptosis in tumor cells. These findings demonstrate the therapeutic potential of Se nanoparticles conjugated with CV, which may provide a novel approach for combination chemotherapy in BC.
A 200-MS/s 10-Bit SAR ADC Applied in WLAN Systems
Authors: Zhang Yu , Pu Yilin , Wu Bin , Mo Taishan , Ye Tianchun
Published: June 2023

This paper introduces a new high-performance successive approximation register (SAR) analog-to-digital converter (ADC) designed for high-speed and low-power wireless local area network (WLAN) applications using a SMIC 55 nm 1p8m CMOS process. The design employs several innovative techniques, including an improved bootstrap switch with high linearity, a 4-reference voltage method to minimize capacitive digital-to-analog converter (CDAC) mismatch, a kickback-canceling comparator to eliminate kick-back noise, and redundant design-assisted window-opening SAR logic to decrease conversion time. Experimental results reveal that the proposed ADC achieves an impressive signal-to-noise and distortion ratio (SNDR) of 55.3 dB and a spurious-free dynamic range (SFDR) of 66.6 dB at a sampling rate of 200 MHz with Nyquist frequency input while consuming a power of 2.8 mW at a 1.2 V power supply. This corresponds to a figure-of-merit (FoM) value of 29 fJ/conversion-step. Thanks to the incorporation of the 4-reference voltage method, the ADC demonstrates a significant area advantage compared to other designs with similar FOM values utilizing more advanced processes, occupying a mere 0.008 mm2 of core area.
Combined Effect of Prenatal Mosquito Coil Smoke Exposure and Early Postnatal Nutritional Status on Obesity among Preschoolers
Authors: Liang Yang , Strodl Esben , Lu Qing , Liu Xin-Chen , Hu Bing-Jie , Chen Wei-Qing
Published: June 2023

Informed by the theory of developmental origins of health and disease, we conducted a survey among 66,854 mother–preschooler dyads in all kindergartens within the Longhua District of Shenzhen in China for exploring the combined effect of prenatal mosquito coil smoke (MCS) exposure and early postnatal nutritional status on obesity in preschoolers. A self-administered questionnaire was completed by mothers to collect parents’ and children’s socio-demographic characteristics, prenatal MCS exposure, child nutritional status at 1–3 years, etc., and children’s heights and weights were measured at the same time. After controlling for potential confounders, a series of logistic regression models and cross-over analyses were used to examine the independent and combination effects of prenatal MCS exposure and postnatal nutritional status on preschoolers’ obesity. We found that prenatal MCS exposure significantly increased the risk of preschoolers’ obesity (AOR = 1.14, 95%CI = 1.08–1.21). Additionally, early postnatal well-nourished nutritional status also increased the risk of preschoolers’ obesity (AOR = 1.56, 95%CI = 1.47–1.66). The cross-over analysis showed that the combination of prenatal MCS exposure with early general postnatal nutrition status (AOR = 1.22, 95%CI = 1.10–1.36) and early postnatal well-nourished nutrition status (AOR = 1.81, 95%CI = 1.65–1.97), respectively, increased the risk of preschoolers’ obesity. Our results indicated that prenatal MCS exposure and early postnatal nutritional status can independently and jointly increase the risk of preschoolers’ obesity.
Structure and Bonding Patterns in C5H4 Isomers: Pyramidane, Planar Tetracoordinate Carbon, and Spiro Molecules
Authors: Satpati Sayon , Roy Tarun , Giri Sandip , Anoop Anakuthil , Thimmakondu Venkatesan S. , Ghosal Subhas
Published: June 2023

We have theoretically investigated nine unusual isomers of the molecular formula C5H4 using coupled cluster (CC) and density functional theory (DFT) methods. These molecules possess non-classical structures consisting of two pyramidanes, three planar tetracoordinate carbon (ptC), and four spiro types of isomers. Both the pyramidanes (tetracyclo-[2.1.0.01,3.02,5]pentane; py-1 and tricyclo-[2.1.0.02,5]pentan-3-ylidene; py-2) are minima on the potential energy surface (PES) of C5H4. Among the three isomers containing ptC, (SP4)-spiro [2.2]pent-1-yne (ptC-2) is a minimum, whereas isomer, (SP4)-spiro [2.2]pent-1,4-diene (ptC-1) is a fourth-order saddle point, and (SP4)-sprio[2.2]pent-1,4-diylidene (ptC-3) is a transition state. The corresponding spiro isomers spiro[2.2]pent-1,4-diene (spiro-1), sprio[2.2]pent-1,4-diylidene (spiro-3) and spiro[2.2]pent-4-en-1-ylidene (spiro-4) are local minima, except spiro[2.2]pent-1-yne (spiro-2), which is a second-order saddle point. All relative energies are calculated with respect to the global minimum (pent-1,3-diyne; 1) at the CCSD(T)/cc-pVTZ level of theory. Quantum chemical calculations have been performed to analyze the bonding and topological configurations for all these nine isomers at the B3LYP/6-311+G(d,p) level of theory for a better understanding of their corresponding electronic structures. ptC-2 was found to be thermodynamically more stable than its corresponding spiro counterpart (spiro-2) and possesses a high dipole moment (μ = 4.64 D). The stability of the ptC structures with their higher spin states has been discussed.
LcmUNet: A Lightweight Network Combining CNN and MLP for Real-Time Medical Image Segmentation
Authors: Zhang Shuai , Niu Yanmin
Published: June 2023

In recent years, UNet and its improved variants have become the main methods for medical image segmentation. Although these models have achieved excellent results in segmentation accuracy, their large number of network parameters and high computational complexity make it difficult to achieve medical image segmentation in real-time therapy and diagnosis rapidly. To address this problem, we introduce a lightweight medical image segmentation network (LcmUNet) based on CNN and MLP. We designed LcmUNet’s structure in terms of model performance, parameters, and computational complexity. The first three layers are convolutional layers, and the last two layers are MLP layers. In the convolution part, we propose an LDA module that combines asymmetric convolution, depth-wise separable convolution, and an attention mechanism to reduce the number of network parameters while maintaining a strong feature-extraction capability. In the MLP part, we propose an LMLP module that helps enhance contextual information while focusing on local information and improves segmentation accuracy while maintaining high inference speed. This network also covers skip connections between the encoder and decoder at various levels. Our network achieves real-time segmentation results accurately in extensive experiments. With only 1.49 million model parameters and without pre-training, LcmUNet demonstrated impressive performance on different datasets. On the ISIC2018 dataset, it achieved an IoU of 85.19%, 92.07% recall, and 92.99% precision. On the BUSI dataset, it achieved an IoU of 63.99%, 79.96% recall, and 76.69% precision. Lastly, on the Kvasir-SEG dataset, LcmUNet achieved an IoU of 81.89%, 88.93% recall, and 91.79% precision.
Mitigating Oxidative Stress in Perinatal Cells: A Critical Step toward an Optimal Therapeutic Use in Regenerative Medicine
Authors: Pizzuti Valeria , Paris Francesca , Marrazzo Pasquale , Bonsi Laura , Alviano Francesco
Published: June 2023

Oxidative stress (OS) occurs when the production of reactive oxygen species (ROS) is not balanced by the body’s antioxidant defense system. OS can profoundly affect cellular health and function. ROS can have a profound negative impact on cells that undergo a predestined and time-regulated process of proliferation or differentiation, such as perinatal stem cells. Due to the large-scale employment of these immunotolerant stem cells in regenerative medicine, it is important to reduce OS to prevent them from losing function and increase their application in the regenerative medicine field. This goal can be achieved through a variety of strategies, such as the use of antioxidants and other compounds that can indirectly modulate the antioxidant defense system by enhancing cellular stress response pathways, including autophagy and mitochondrial function, thereby reducing ROS levels. This review aims to summarize information regarding OS mechanisms in perinatal stem cells and possible strategies for reducing their deleterious effects.
WOA-Based Robust Congestion Control Scheme with Two Kinds of Propagation Latencies and External Disturbance in Software-Defined Wireless Networks
Authors: Hu Xi , Shen Zhiwei , Xiong Xin , Zhang Siqi , Chang Junming , Gao Wang
Published: June 2023

This paper proposes a novel WOA-based robust control scheme with two kinds of propagation latencies and external disturbance implemented in Software-Defined Wireless Networks (SDWNs) to maximize overall throughput and enhance the stability of the global network. Firstly, an adjustment model developed using the Additive-Increase Multiplicative-Decrease (AIMD) adjustment scheme with propagation latency in device-to-device paths and a closed-loop congestion control model with propagation latency in device–controller pairs are proposed, and the effect of channel competition from neighboring forwarding devices is analyzed. Subsequently, a robust congestion control model with two kinds of propagation latencies and external disturbance is established. Then, a new WOA-based scheduling strategy that considers each individual whale as a specific scheduling plan to allocate appropriate sending rates at the source side is presented to maximize the global network throughput. Afterward, the sufficient conditions are derived using Lyapunov–Krasovskii functionals and formulated using Linear Matrix Inequalities (LMIs). Finally, a numerical simulation is conducted to verify the effectiveness of this proposed scheme.
Advances in Genetics and Epigenetics of Developmental Coordination Disorder in Children
Authors: You Haizhen , Shi Junyao , Huang Fangfang , Wei Zhiyun , Jones Gary , Du Wenchong , Hua Jing
Published: June 2023

Developmental coordination disorder (DCD) is a developmental disorder characterized by impaired motor coordination, often co-occurring with attention deficit disorder, autism spectrum disorders, and other psychological and behavioural conditions. The aetiology of DCD is believed to involve brain changes and environmental factors, with genetics also playing a role in its pathogenesis. Recent research has identified several candidate genes and genetic factors associated with motor impairment, including deletions, copy number variations, single nucleotide polymorphisms, and epigenetic modifications. This review provides an overview of the current knowledge in genetic research on DCD, highlighting the importance of continued research into the underlying genetic mechanisms. While evidence suggests a genetic contribution to DCD, the evidence is still in its early stages, and much of the current evidence is based on studies of co-occurring conditions. Further research to better understand the genetic basis of DCD could have important implications for diagnosis, treatment, and our understanding of the condition’s aetiology.
Differential Effects of Musical Expression of Emotions and Psychological Distress on Subjective Appraisals and Emotional Responses to Music
Authors: Kim Aimee Jeehae
Published: June 2023

This study aims to investigate how musical expressions of emotion and individuals’ psychological distress impact subjective ratings of emotional response and subjective appraisals, including familiarity, complexity, and preference. A sample of 123 healthy adults participated in an online survey experiment. After listening to four music excerpts with distinct musical expressions of emotional valence and arousal in a randomized sequence. Participants rated subjective emotions of energy, tension, and valence, as well as subjective appraisals, on a visual analogue scale ranging from 0 to 100. The results of repeated measures ANOVA demonstrated significant differences in emotional responses and appraisals across the ratings for different music excerpts (p > 0.01, respectively). The generalized linear mixed model results further revealed a significant main effect of musical valence on all emotional response dimensions of energy (β = −4.73 **), tension (β = 14.31 ***), valence level (β = −18.81 ***), and subjective appraisal in terms of familiarity (β = −23.06 ***), complexity (β = −6.67 ***), and preference (β = −19.54 ***). Musical arousal showed comparable results except for effects on emotional valence ratings. However, significant effects of psychological distress regarding depression, anxiety, and stress scores were only partially observed. Findings suggest that the expression of emotions through music primarily influences emotional responses and subjective appraisals, while the influence of an individual’s psychological distress level may be relatively subtle.
Analysis of a Bending-Stressed Pile in Interaction with Subsoil
Authors: Jendzelovsky Norbert , Tvrda Katarina
Published: June 2023

This study explored reinforced concrete piles located in a flexible half-space and loaded with external loads, considering various contact elements and the connection between the pile and the ground massif. Piles are mainly solved as axially loaded elements stressed by a vertical force. However, there are also several cases in the construction industry where a pile is stressed by a horizontal force or by a bending moment, producing a bending loaded pile. A static model of a pile and the surrounding subsoil was constructed using software based on FEM. The pile was modelled from 3D finite elements that were rotationally symmetric around the vertical axis of the pile. Additionally, the flexible half-space was modelled from 3D elements that were rotationally symmetrical around the piles. The boundary conditions were applied on the surfaces around the perimeter and at the bottom of the ground massif. The flexible half-space was modelled up to the area where there was zero deformation. The presented analysis focused on the description of different types of contact elements between the surface of the reinforced concrete pile and the surrounding ground mass. This interaction was modelled as a fixed connection or as point-to-point contact, and a contact surface. In the next part, different boundary conditions on the pile bottom were considered. Floating piles, supported by joints or firmly woven into the ground massif, were considered. All these outputs based on FEM were compared with the analytical solution of the bent pile that was published in the 1980s. The deformations and internal forces during different modelling of the contact between the edge of the concrete pile and the surrounding ground mass were compared. The higher values of the studied quantities were for rigid connections, which is logical. For contact elements, the property of the contact was considered. This property introduces less stiffness, and thus, the resulting values were lower compared to those for a fixed connection. The presented analysis of the FEM analytical and numerical solution is also very valuable for engineers working in construction.
Model Test of Surrounding Rock Temperature Field under Different Drainage Structures and Insulation Conditions in High Cold Tunnel
Authors: Zhang Xuelan , Jia Lianyan , Zong Jingmei , Tan Lizhen , Liu Lulu
Published: June 2023

Improper layout of drainage structures and inadequate insulation measures in high-altitude cold areas have resulted in varying degrees of frost damage in numerous tunnels during operation. To address this issue and propose a viable drainage structure layout scheme, this paper analyzes and studies the temperature field distribution characteristics of the lower surrounding rock and drainage structure around high-altitude cold tunnels, as well as the layout of the central drainage ditch and anti-cold water leakage hole. Based on physical model test results of cold area tunnels, the distribution characteristics of the temperature field around the tunnel drainage structure under different insulation conditions are obtained, and a control equation of temperature change along the depth direction is proposed. By comparing and analyzing the differences in temperature field and water flow characteristics of drainage structures under different insulation methods, the setting conditions of different drainage structures are determined. Furthermore, the function relationship between the freezing depth of the lower surrounding rock of the tunnel arch and the air temperature inside the tunnel is established, and the curve of the on-site tunnel freezing depth change is predicted. This study provides valuable insights into the design and construction of drainage structures and insulation measures for high-altitude cold tunnels, ultimately contributing to the prevention of frost damage and ensuring safe and efficient tunnel operation.
Quantitative Comparison of Space Syntax in Regional Characteristics of Rural Architecture: A Study of Traditional Rural Houses in Jinhua and Quzhou, China
Authors: Xu Keyou , Chai Xingkang , Jiang Ruyu , Chen Yu
Published: June 2023

In China’s rural renewal, the regional characteristics of rural traditional houses are often ignored. Local governments and real estate developers have distorted the perception of traditional buildings, damaging their sustainability. This paper analyzes the traditional rural houses of Jinhua and Quzhou, Zhejiang, China, based on space syntax. Its objective is to demonstrate concretely the regional characteristics of architecture through quantitative analysis. By summarizing the comparison of various variables, these characteristics can be further expressed. This will allow us to better understand the wishes of local residents for living space in a more accurate and quantified manner. As the subject of this study, 34 typical buildings are examined in 19 villages. According to the analysis of the RA, integration, and control values of space syntax, each room in these buildings is calculated. The courtyard, the hall, and the main room are chosen as the principal research areas. In addition, the exterior space is considered to be a key factor. As a result of this study, it is found that rural traditional houses in Jinhua and Quzhou have their own regional characteristics. These characteristics are presented as differences between the above-noted spaces in different comparative analyses and are consistent with the actual situation. It enables the rural traditional houses to be scientifically and quantitatively analyzed, which can be helpful for architectural renewal. As a consequence, it is possible to support the sustainability of rural buildings using data analysis, as well as safeguard the personalized rights and interests of local residents regarding housing.
Carbon Fibre-Reinforced Polymer (CFRP) Composites in Civil Engineering Application—A Comprehensive Review
Authors: Vijayan Dhanasingh Sivalinga , Sivasuriyan Arvindan , Devarajan Parthiban , Stefańska Anna , Wodzyński Łukasz , Koda Eugeniusz
Published: June 2023

In civil engineering, carbon fibre-reinforced polymer (CFRP) composites have emerged as a promising alternative to conventional materials. The article provides a comprehensive overview of the application of CFRP composites in various building structural elements and their characteristics and properties, such as their fatigue and corrosion resistance, stiffness and high strength, and incorporation of temperature factors. The advantages and disadvantages of CFRP composites and the current trends and prospects for CFRP composites in the construction sector are discussed. In addition, the article compares various studies on CFRP composites to shed light on their performance and potential limitations. This paper aims to provide useful information to researchers and practitioners interested in using CFRP composites in civil engineering applications. In addition, the article discusses emerging materials in CFRP, such as nanostructured carbon fibres, hybrid fibre reinforcement, and self-sensing CFRP. Additionally, the paper outlines how CFRP composites promote sustainability by increasing structural durability and longevity.
Research on the Rolling Process of SMA-13 Asphalt Surface Layer for Bridge Decks Based on Compaction and Skid Resistance Equilibrium Problems
Authors: Zhou Zhilin , Zhang Wenting , Liang Guosong , Chen Bo , Yan Junjian
Published: June 2023

In order to solve the equilibrium problem related to compaction degree, structural integrity of skid resistance, and skid resistance of asphalt wearing layer on a concrete bridge deck, the influence of rolling mode on compaction degree, structural integrity of skid resistance, and skid resistance performance was analyzed according to compaction curve characteristics, image processing technology, and laser method from the compaction mechanism and temperature control of rolling equipment. The results showed that the compaction degree and rolling times of an SMA-13 asphalt wearing course on the bridge deck could be characterized by a logarithmic model, and the model parameters had clear physical significance. Compared with the vibratory roller, the oscillation roller could achieve a greater and more stable compaction degree of the mixture and maintain a better density, compaction degree, and void ratio after 5 times of oscillation rolling. The pavement wear characteristics were extracted by a digital image method. The results showed that with the increase in rolling times, the rolling temperature decreased gradually, and the wear rate of surface texture increased significantly. The multiscale evaluation of pavement antiskid performance by a laser method showed that the surface structure gradually decreased and tended to be stable (1.2 mm) with the increase in rolling times of the vibratory roller, the microscopic texture density increased with the increase in rolling times, and the proportion of acute angle (<90°) in the peak angle of the surface texture profile decreased with the increase in rolling times. The SMA-13 asphalt wearing course on the bridge deck was rolled by a vibratory roller for 6 times, so as to achieve the balance of compaction degree, structural integrity, and skid resistance.
Identification of 4D-BIM Barriers in Offshore Construction Projects Using Fuzzy Structural Equation Modeling
Authors: El-Habashy Sherif , Alqahtani Fahad K. , Mekawy Mohamed , Sherif Mohamed , Badawy Mohamed
Published: June 2023

Planners face many obstacles during the planning phase of any new project, especially project scheduling due to the numerous details and complexity of each uniquely designed project; previous experience in similar projects and traditional scheduling methods are not sufficient. The 4D-BIM schedule is the best solution, as it can be integrated with other modern technologies such as UAS, which improves project scheduling by allowing the project team to access project plans, details, and time-related information to simulate construction sequences. Despite the benefits of using 4D-BIM, planners prefer traditional planning and scheduling methods because of the barriers to using modern technologies. This research proposes a structural equation model focusing on estimating the weights of BIM barriers in offshore construction projects, including: the investigation of barriers keeping the construction industry standing at 3D-BIM; the relationships between them; and the evaluation of the probability and impact of each, using fuzzy theory. To validate the proposed model, a case study of an offshore project was conducted. The most important latent variables were awareness, risk, demand, and management, while the most prominent observed variables were the uncertainty of the return on investment and the lack of experienced users. This research guides project managers on actions that can be taken for each key variable to enhance and develop the use of 4D-BIM in project scheduling.
TREM2-Deficient Microglia Attenuate Tau Spreading In Vivo
Authors: Lee-Gosselin Audrey , Jury-Garfe Nur , You Yanwen , Dabin Luke , Soni Disha , Dutta Sayan , Rochet Jean-Christophe , Kim Jungsu , Oblak Adrian L. , Lasagna-Reeves Cristian A.
Published: June 2023

The role of TREM2 in Alzheimer’s disease (AD) is not fully understood. Previous studies investigating the effect of TREM2 deletion on tauopathy mouse models without the contribution of b-amyloid have focused only on tau overexpression models. Herein, we investigated the effects of TREM2 deficiency on tau spreading using a mouse model in which endogenous tau is seeded to produce AD-like tau features. We found that Trem2−/− mice exhibit attenuated tau pathology in multiple brain regions concomitant with a decreased microglial density. The neuroinflammatory profile in TREM2-deficient mice did not induce an activated inflammatory response to tau pathology. These findings suggest that reduced TREM2 signaling may alter the response of microglia to pathological tau aggregates, impairing their activation and decreasing their capacity to contribute to tau spreading. However, caution should be exercised when targeting TREM2 as a therapeutic entry point for AD until its involvement in tau aggregation and propagation is better understood.
Detection of Aroma Profile in Spanish Rice Paella during Socarrat Formation by Electronic Nose and Sensory Panel
Authors: Barea-Ramos Juan Diego , Santos José Pedro , Lozano Jesús , Rodríguez María José , Montero-Fernández Ismael , Martín-Vertedor Daniel
Published: June 2023

Valencian paella is a world-famous dish that is originally from the Valencia Spanish region, in which rice is the basic ingredient along with others such as extra virgin olive oil, vegetables, seafood and/or meat. During the cooking process, the paella rice suffers a loss of moisture and the socarrat is formed, being crunchy and brown in color. The objective of this work was to evaluate the aromas generated during the formation of socarrat in paella rice (P) by an electronic nose (E-nose), discriminating against the aromatic profile of white rice (WR), and validate it with sensory analysis and gas chromatography. The results of the sensory analysis showed a decrease in positive fruity and sweet aromas of some volatile compounds such as hexanal and nonanal, among others, and an increase in roasted aromas due to the appearance of furans and furanones compounds, which is probably associated with socarrat formation. The acrylamide content increased by 33.8–48.3% as the intensity of the thermal treatment rose. The higher value of acrylamide (179.5 ng g−1) was achieved in P. The E-nose was sensitive to changes in the aromatic profile, and the PCA analysis explained 85.7% and 91.6% of the variance for WR and P, respectively. Furthermore, a strong clustering in the thermal treatments was observed, which is related to the composition of volatile compounds.
The Effect of Biologics in the Treatment of Multisystem Inflammatory Syndrome in Children (Mis-C): A Single-Center Propensity-Score-Matched Study
Authors: Basaran Ozge , Batu Ezgi Deniz , Kaya Akca Ummusen , Atalay Erdal , Kasap Cuceoglu Muserref , Sener Seher , Balık Zeynep , Karabulut Erdem , Kesici Selman , Karagoz Tevfik , Ozsurekci Yasemin , Bilginer Yelda , Cengiz Ali Bulent , Ozen Seza
Published: June 2023

Multisystem inflammatory syndrome in children (MIS-C) is a serious condition characterized by excessive inflammation that can arise as a complication of SARS-CoV-2 infection in children. While our understanding of COVID-19 and MIS-C has been advancing, there is still uncertainty regarding the optimal treatment for MIS-C. In this study, we aimed to compare the clinical and laboratory outcomes of MIS-C patients treated with IVIG plus corticosteroids (CS) to those treated with IVIG plus CS and an additional biologic drug. We used the propensity score (PS)-matching method to assess the relationships between initial treatment and outcomes. The primary outcome was a left ventricular ejection fraction of less than 55% on day 2 or beyond and/or the requirement of inotrope support on day 2 or beyond. We included 79 MIS-C patients (median age 8.51 years, 33 boys) followed in our center. Among them, 50 children (25 in each group) were allocated to the PS-matched cohort sample. The primary outcome was observed in none of the patients in the IVIG and CS group, while it occurred in eight patients in the IVIG plus CS and biologic group (p = 0.04). MIS-C is a disorder that may progress rapidly and calls for extensive care. For definitive recommendations, further studies, including randomized control trials, are required.
Special Issue: Advances in Healthcare for Neonates
Authors: Prasath Arun , Kumar Vasantha H. S.
Published: June 2023

We are delighted to present an editorial for the Special Issue ‘Advances in Healthcare for Neonates’ [...]
Repurposing of the Drug Tezosentan for Cancer Therapy
Authors: Ribeiro Eduarda , Vale Nuno
Published: June 2023

Tezosentan is a vasodilator drug that was originally developed to treat pulmonary arterial hypertension. It acts by inhibiting endothelin (ET) receptors, which are overexpressed in many types of cancer cells. Endothelin-1 (ET1) is a substance produced by the body that causes blood vessels to narrow. Tezosentan has affinity for both ETA and ETB receptors. By blocking the effects of ET1, tezosentan can help to dilate blood vessels, improve the blood flow, and reduce the workload on the heart. Tezosentan has been found to have anticancer properties due to its ability to target the ET receptors, which are involved in promoting cellular processes such as proliferation, survival, neovascularization, immune cell response, and drug resistance. This review intends to demonstrate the potential of this drug in the field of oncology. Drug repurposing can be an excellent way to improve the known profiles of first-line drugs and to solve several resistance problems of these same antineoplastic drugs.
Wind–Wave Conditions and Change in Coastal Landforms at the Beach–Dune Barrier of Cesine Lagoon (South Italy)
Authors: Delle Rose Marco , Martano Paolo
Published: June 2023

Several coastal barriers experienced significant erosion and change in shape throughout the Mediterranean coasts over the past decades, and the issue has become of increasing concern for scientists and policymakers. With reference to a case study and by meteorological and geomorphological investigations, this note aims to define the wind–wave conditions, infer the net longshore transport, and detect the geomorphological processes that shape the landforms of the Cesine Lagoon barrier (South Italy). Despite the importance of the site in coastal defense and environmental conservation, there are still no specific studies. A challenge for this research was to obtain significant results from publicly available sources and simple and inexpensive methods. Geomorphological changes, such as the retreat of dune toes, accretion of washover fans, and formation of gravel beaches, are related to the analyzed wind–wave conditions. The net longshore transport is found in accordance with the direction of the more intense winds. The role of extreme events in the shaping of coastal landforms is yet to be established, even if they greatly increase the vulnerability to flooding of the study area. The results achieved so far are starting points for further data collection and analysis in the perspective of assessing the impact of climate changes and the threatening hazards on the lagoon barrier.
Electrophoretic Deposition of Rochelle Salt Nanocrystals on Aluminum Plate
Authors: Rusev Rostislav , Tzaneva Boriana , Angelov George
Published: June 2023

A straightforward and inexpensive electrophoretic method for obtaining environment-friendly nanocrystalline piezo layers from Rochelle salt (RS) is presented here. The electrophoretic deposition process includes the formation of nanocrystals by precipitation of Rochelle salt/water solutions in ethanol (anti-solvent method) under the influence of a high electric field. A nanoporous anodic aluminum oxide membrane is used to separate the electrochemical cell into two chambers. The composition of the RS:H2O:EtOH mixture and the spatial separation of the process of precipitation from electrophoretic deposition allow control of the nanocrystal size and the uniformity of the layer. The reaction kinetics, the morphology, and the piezo response to the resulting layers are all investigated. The best samples were obtained at RS:H2O:EtOH ratio 1:22.5:37.5. Under these conditions, the nanocrystals are preferentially oriented on the aluminum substrate and form a dense and homogeneous layer. Although the obtained structure is polycrystalline, the resulting piezo effect is 1120 pC/N, which is comparable to inorganic monocrystals and piezoceramics. This allows the use of electrophoretically deposited polycrystalline piezo layers in applications such as energy harvesting.
Intentionally Incorporated Fe Cations in Silverton Polyoxometalates Forming Fenton-like Photocatalysts for Enhanced Degradation
Authors: Dong Hongmei , Gao Di , Li Baoyi , Li Hongdao , Ding Lifeng , Niu Yulan
Published: June 2023

Polyoxometalates (POMs) have shown great potential for applications in photocatalysis due to their unique structural features, tunable band gap, and environmental benignity. Herein, a Fe ion-incorporated Co4W6O21(OH)2·4H2O sphere network POM was successfully synthesized via a simple hydrothermal process. A DFT calculation proved that the Fe ion partially replaced cobalt atoms, forming FexCo4−xWOH, which played a crucial role in modulating the electron state and the band structure. The as-prepared FexCo4−xWOH exhibited excellent Fenton-like photocatalytic activity; the degradation rate of RhB improved 3.69 times compared with the sample without doping. The favorable performance of FexCo4−xWOH is a result of the synergistic effects of the Fenton reaction and the activation of H2O2 under visible irradiation, which can generate a mass of •O2− and •OH species in the unique sphere network structure. This study supplied a new idea for designing highly-active Fenton-like POM photocatalysts for environmental remediation.
Ferroelectric SnPz/In2Se3 as a Stable and Durable Non-Volatile 2D Ferroelectric Memory Material
Authors: Ren Weiwei , Tian Jintao , Pang Rui , Shang Yuanyuan
Published: June 2023

In ferroelectric memory, the repeated application of external electric fields can cause ferroelectric fatigue, limiting its stability and service life, especially as the storage unit size decreases. To address this issue, we conducted first-principles research on a SnPz/In2Se3 structure and examined its structure under different polarization directions. Our analysis revealed significant differences in the adsorption position of Sn atoms depending on the polarization direction, suggesting that SnPz/In2Se3 could be a highly stable ferroelectric storage material. Moreover, the polarization-induced changes in the electronic structure near the Fermi level, which allowed for the use of tunneling current and obtaining stored information without causing the ferroelectric fatigue effect during information readout. These findings highlight the potential of SnPz/In2Se3 to significantly extend the lifespan of ferroelectric materials, reduce energy consumption, and minimize the environmental impact of discarded electronic devices.
Ultrasound-Guided Femoral Vascular Access for Percutaneous Coronary and Structural Interventions
Authors: Xenogiannis Iosif , Varlamos Charalampos , Keeble Thomas R. , Kalogeropoulos Andreas S. , Karamasis Grigoris V.
Published: June 2023

Radial access has largely substituted femoral access for coronary interventions. Nevertheless, the femoral artery remains indispensable for gaining access to structural and complex percutaneous coronary interventions such as transcatheter aortic valve implantation and chronic total occlusion interventions, respectively. Ultrasound-guided femoral puncture is a broadly available, inexpensive, and relatively easy-to-learn technique. According to the existing evidence, ultrasound guidance for gaining femoral access has improved the effectiveness and safety of the technique. In the present paper, we sought to review the current literature in order to provide the reader with up-to-date data regarding the benefits of ultrasound-guided femoral access compared with the conventional technique as well as describing the state-of-the-art technique for gaining femoral access under ultrasound guidance.
New Developments and Emergent Challenges in International Inclusive Education—A Response to Growing Family Needs and the Pandemic
Authors: Bamsey Victoria , Gibson Suanne , Lee Yee Ling , Nijhu Tasnim Jannat
Published: June 2023

Home education is a phenomenon that has been increasing globally over the past decade, particularly for families of children with special educational needs or disabilities. The impact of the COVID-19 pandemic has exacerbated this phenomenon with many families continuing to home educate even after their children can officially return to school. This paper reports on a small-scale design-based research project that explored the needs of families who are home educating children with autistic spectrum disorder (ASD). Working in partnership with educational settings, practitioners, and families during the second year of the pandemic, academic researchers in Malaysia and England designed, implemented and evaluated a home learning pack for children with ASD aged 6–12 years old. The findings emphasised the role of economic, social and cultural capital for the families involved and how this impacted their ability to work and educate their children successfully. This raises crucial questions in relation to the place of home education within the wider international inclusive education debate and matters of social equality whilst also highlighting key questions for future research in this field on how policy and provision might develop to meet a growing diversity of need.
Development of Social and Environmental Competences of Teachers in Training Using Sound and Visual Landscape
Authors: Hurtado Soler Amparo , Botella Nicolás Ana María , Fernández Maximiano Rafael , Martínez Gallego Silvia
Published: June 2023

The soundscape was used as the basis of the research carried out by the Teaching Faculty of the Universitat de València Spain. The research focused on two aspects: (i) study the relationship between environmental sounds and emotions as a base to promote environmental awareness; and (ii) analyze the usefulness as an educational resource for the development of social and environmental competences of teachers in training. Thus, a didactic sequence was designed using 360º virtual recordings of natural and human landscapes in which participants described sound and visual elements that they associated with a range of emotions. Moreover, participants identified environmental problems and reflected on the usefulness of the sound and visual landscape in the acquisition of social and environmental competences. Both qualitative and quantitative methods were used in this study and 327 teachers participated in the training. The findings show the observation of sound and visual elements can facilitate the understanding of environmental problems. The natural soundscape was associated with positive emotions, while more industrial or urban landscapes were associated with negative emotions. This can affect on people’s well-being. Moreover, the participants had a good perception of the development of their social and environmental competences, and considered that the activity promoted the transfer of knowledge and developed argumentative and critical capacities. This approach offers the opportunity to create learning environments contextualized in the landscape that facilitate the connection of scientific and artistic disciplines from an experiential perspective. It is essential to continue studying and implementing educational strategies that promote the integration of theory and practice.
A Machine Learning-Assisted Inversion Method for Solving Biomedical Imaging Based on Semi-Experimental Data
Authors: Wang Jing , Du Naike , Yin Tiantian , Song Rencheng , Xu Kuiwen , Sun Sheng , Ye Xiuzhu
Published: June 2023

Machine learning approaches have been extensively utilized in the field of inverse scattering problems. Typically, the training dataset is generated synthetically using ideal radiation sources such as plane waves or cylindrical waves. However, the testing data often consist of experimental data that take into account the antenna port couplings and waveform distortions within the system. While noise can be artificially added to synthetic data, it may not accurately represent the real experimental noise. Consequently, the application of machine learning-assisted inversion techniques may encounter challenges when the training dataset differs significantly from the experimental data. In this paper, we propose an experimental system specifically designed for human body imaging. A semi-experimental training dataset is constructed using full-wave simulation software, incorporating the relative permittivities of common human tissues. Furthermore, the system noise is meticulously considered through full-wave simulation, enhancing the authenticity of the dataset. A back-propagation scheme is firstly employed to obtain the rough reconstructed images. Then, the U-net convolutional neural network (CNN) is employed to map these rough images to high-resolution ones. Numerical results demonstrate that, in comparison to networks trained solely on synthetic data, the network trained using semi-experimental data achieves superior reconstruction results with lower errors and improved image quality.
Optimization of Milbemycin Component Ratio by Coordinating Acyl-Coenzyme A Supply Pathways in Streptomyces bingchenggensis
Authors: Yang Xue , Jin Pinjiao , Dong Zhuoxu , Zhang Yanyan , Xiang Wensheng , Li Shanshan
Published: June 2023

Milbemycins are a group of macrolide pesticides with great potential in the agricultural field owing to their high insecticidal activity and environmental compatibility. Milbemycin A3 and A4 with high bioactivities are the main components of milbemycin-derived products, which require a component ratio A4:A3 of 2.3- to 4.0-fold. Streptomyces bingchenggensis BC04 is a promising milbemycin producer, whereas the component ratio of its products (A4:A3 of 9.0-fold) could not meet the requirement for industrial production. To address this issue, we reconstructed the precursor biosynthetic pathways to fine tune the supply of different acyl-coenzyme A precursors required for milbemycin biosynthesis. Based on an analysis of the intracellular acyl-coenzyme A precursors, we reconstructed stepwise heterogeneous biosynthetic pathways of extender units for milbemycin biosynthesis. Then, we coordinated the supply of milbemycin biosynthetic starter units with temporal promoters. Thanks to these manipulations, we obtained an engineered strain with 39.5% milbemycin titer improvement to 3417.88 mg/L and a qualified component ratio A4:A3 of 3.3-fold. This work demonstrated that coordinating the precursor supply is a simple and effective approach to optimize the component ratio of A4:A3 in milbemycin fermentation products. Moreover, this strategy might also be useful to construct high-yield strains with optimized component ratios of fermentation products in other Streptomyces.
Advances in the Metabolic Mechanism and Functional Characteristics of Equol
Authors: Gong Yining , Lv Jiaping , Pang Xiaoyang , Zhang Shuwen , Zhang Guofang , Liu Libo , Wang Yunna , Li Chun
Published: June 2023

Equol is the most potent soy isoflavone metabolite and is produced by specific intestinal microorganisms of mammals. It has promising application possibilities for preventing chronic diseases such as cardiovascular disease, breast cancer, and prostate cancer due to its high antioxidant activity and hormone-like activity. Thus, it is of great significance to systematically study the efficient preparation method of equol and its functional activity. This paper elaborates on the metabolic mechanism of equol in humans; focuses on the biological characteristics, synthesis methods, and the currently isolated equol-producing bacteria; and looks forward to its future development and application direction, aiming to provide guidance for the application and promotion of equol in the field of food and health products.