bluuebunny/crossref_metadata_2025 huggingface dataset:
Theoretical Study of 3d VIII Atom-Decorated γ-Graphyne for Adsorbing and Detecting Heptafluoroisobutyronitrile
Authors: Zheng Ziang , Zhao Renchu , Chen Dachang , Miao Qing , Liu Ke , Xiao Beibei
Published: July 2023

Recently, Heptafluoroisobutyronitrile (C4F7N) has received widespread attention in replacing one of the most greenhouse-insulating gas, SF6. However, gas leakage is incredibly harmful to the health of operational personnel and the security of industry production, and developing C4F7N detection technology is of great necessity. In this work, the adsorption properties, as well as the sensing performance of C4F7N on 3d VIII atom-decorated γ-graphyne (γ-GY), were theoretically discussed. The adsorption structures, adsorption energies, electron transfer, adsorption distance, electron distribution, and electronic properties were compared. The results show that the introduction of Fe and Co atom enhance the chemisorption of C4F7N, and the adsorption of C4F7N brings the maximum electron redistribution of Fe/γ-GY among three TM/γ-GY. Only the adsorption on Fe/γ-GY leads to the vanishing of the magnetic moment and creates a band gap. For three different modifications of γ-GY, the chemical interactions are highly related to the overlapping of transition metal 3d and N 2p orbitals in the density of states. The adsorption on Co/γ-GY causes the maximum change in work function from 5.06 eV to 5.26 eV. In addition, based on the band structure, work function, and desorption properties, the sensing properties of 3d VIII atom-decorated γ-GY were evaluated in order to promote the experimental exploration and development of high-performance C4F7N gas sensors.
Structural Analysis of Mitochondria in Cardiomyocytes: Insights into Bioenergetics and Membrane Remodeling
Authors: Adams Raquel A. , Liu Zheng , Hsieh Chongere , Marko Michael , Lederer W. Jonathan , Jafri M. Saleet , Mannella Carmen
Published: July 2023

Mitochondria in mammalian cardiomyocytes display considerable structural heterogeneity, the significance of which is not currently understood. We use electron microscopic tomography to analyze a dataset of 68 mitochondrial subvolumes to look for correlations among mitochondrial size and shape, crista morphology and membrane density, and organelle location within rat cardiac myocytes. A tomographic analysis guided the definition of four classes of crista morphology: lamellar, tubular, mixed and transitional, the last associated with remodeling between lamellar and tubular cristae. Correlations include an apparent bias for mitochondria with lamellar cristae to be located in the regions between myofibrils and a two-fold larger crista membrane density in mitochondria with lamellar cristae relative to mitochondria with tubular cristae. The examination of individual cristae inside mitochondria reveals local variations in crista topology, such as extent of branching, alignment of fenestrations and progressive changes in membrane morphology and packing density. The findings suggest both a rationale for the interfibrillar location of lamellar mitochondria and a pathway for crista remodeling from lamellar to tubular morphology.
Linking Brazilian Regions to Value Chains: Is There a Potential for Regional Development?
Authors: Sanguinet Eduardo Rodrigues , Atienza Miguel , Azzoni Carlos Roberto , Alvim Augusto Mussi
Published: July 2023

This paper examines the subnational dimension of regional value-added transfers in multiscalar value chains in Brazil by analyzing the local content embedded in trade. This study reveals distinct spatial-based connectivity patterns within subnational and global value chains. An input–output model is employed to estimate the trade in value added from different Brazilian regions. The findings demonstrate that economically advanced regions, such as Southeastern Brazil, are both globally and nationally integrated and therefore stand to benefit from both types of integration. Conversely, subnational peripheries in the North and Northeastern states of Brazil play a crucial role in supplying raw materials for both domestic and global flows. These regions exhibit a clear profile of export dependency with low value-added content in trade. Consequently, our trade measures highlight a spatial concentration of development opportunities characterized by a distinct core–periphery pattern within the country. This imbalance in territorial capacity limits the potential for these regions to derive economic development benefits from integration into value chains.
Increasing Socially Significant Behaviors for Children with Autism Using Synchronous Reinforcement
Authors: Stordahl Stephany K. , Cihon Joseph H. , Alai-Rosales Shahla , Rosales-Ruiz Jesus
Published: July 2023

In some types of reinforcement schedules, a reinforcer is presented or given to the child and interacted with continuously while a target behavior is occurring. Previous researchers have used this type of reinforcement as an assessment tool and to study basic reinforcement processes. However, little research has explored how to effectively use these schedules to reinforce socially important responses in applied settings. The current study analyzed the implementation of synchronous reinforcement in a nonconcurrent multiple baseline across participants. Several interventionists implemented synchronous reinforcement with four children with autism across a variety of responses and reinforcers. The results indicated that delivering social, audio/visual, and tangible stimuli on a synchronous schedule resulted in increased durations of targeted (e.g., social skills and motor skills) and nontargeted (e.g., approach, social bids, and speed) measures across all children. Recommendations regarding reinforcer and response selection in implementing synchronous schedules in applied settings are provided.
Centering Teacher Expertise, Needs, and Wellbeing in In-Service Teacher Education: A Post/COVID-19 Study
Authors: Napitupulu Astri , Easterling Jasmin , Hamm Leslie , Kerkhoff Shea N. , Hammond Diana , Brosch Tracy , Singer Nancy Robb , O’Daniels Katherine A.
Published: July 2023

This paper shares findings of a qualitative study on professional learning with in-service teachers during COVID-19. From 2020–2023, the authors facilitated comprehensive literacy professional learning with in-service teachers from 40 schools in the Midwest U.S. Our work aimed to center teachers as experts and be responsive to teachers’ social, emotional, and professional needs. Drawing on framework for adaptability, we analyzed formative assessments, interview transcripts, and written reflections to understand teachers’ perspectives on professional learning and their praxis during COVID-19. Data revealed that participants perceived an increased need for professional learning on differentiation and focus on growth and joy. Against the backdrop of a neoliberal fixation on teacher accountability that increases stress among teachers on top of a traumatic global pandemic, we attempted to center teachers as experts and attend to teachers’ socioemotional needs by offering flexible pathways with online options and offering in-person sessions for cultivating community. Future research on teacher education for in-service teachers can provide greater insight into teacher perceptions of their professional learning needs post/COVID-19, as well as how we center teachers as knowledgeable professionals in order to challenge hierarchical power structures and deficit discourses in ways that promote their professional, social, and emotional wellbeing.
Optimal Configuration of Battery Energy Storage for AC/DC Hybrid System Based on Improved Power Flow Exceeding Risk Index
Authors: Tu Yanming , Jiang Libo , Zhou Bo , Sun Xinwei , Zheng Tianwen , Xu Yunyang , Mei Shengwei
Published: July 2023

After the fault disturbance (DC bi-polar blocking) in the AC/DC hybrid system, when the battery energy storage system (BESS) near the fault location is used to eliminate the power transfer, some sensitive and vulnerable transmission lines still have the problem of power flow exceeding the limit value. Therefore, an optimal configuration of BESS for AC/DC hybrid systems based on power flow exceeding risk index is proposed, which is used to eliminate the impact of power transfer on transmission lines. Firstly, considering the line outage distribution factor, the power flow exceeding risk index is established, which is used to judge the sensitive and vulnerable transmission lines on the shortest path power flow after the fault in the AC/DC hybrid system. The shortest path power flow is found by using the Dijkstra algorithm; the transmission lines nodes of the shortest path power flow are selected as candidate nodes for BESS configuration. Secondly, considering the safe and stable operation capability of the transmission lines, a multi-objective optimal mathematical model of BESS configuration for the AC/DC hybrid system is established, which minimizes the annual investment cost of BESS and maximizes the sum of the power flow exceeding risk index. Finally, the CEPRI36V7 power grid model in Power System Analysis Software Package (PSASP) is used for simulation analysis to verify the effectiveness of the proposed method.
A Unified Switched Nonlinear Dynamic Model of an Electric Vehicle for Performance Evaluation
Authors: Khan Dibyendu , Mandal Kuntal , Ray Anjan Kumar , El Aroudi Abdelali
Published: July 2023

The advanced modeling and estimation of overall system dynamics play a vital role in electric vehicles (EVs), as the selection of components in the powertrain and prediction of performance are the key market qualifiers. The state-space averaged model and small-signal transfer function model are useful for assessing long-term behavior in system-level analysis and for designing the controller parameters, respectively. Both models take less computation time but ignore the high-frequency switching dynamics. Therefore, these two models could be impractical for the development and testing of EV prototypes. On the other hand, the multi-domain model in available simulation tools gives in-depth information about the short-term behavior and loss analysis of power electronic devices in each subsystem, considering the switching dynamics in a long computation time. In this paper, a general mathematical framework for the dynamical analysis of complete EVs is presented using a unified, switched nonlinear model. This equation-based model runs faster than the available module-based simulation tools. Two other models, namely the time domain state-space averaged model and frequency domain small-signal transfer function model, are also developed from the switched nonlinear model for the analysis with less computation time. The design and performance of an EV with two different motors and its controllers are evaluated using the general mathematical framework.
Collision Avoidance Second Order Sliding Mode Control of Satellite Formation with Air-Floated Platform Semi-Physical Simulation
Authors: Zhang Ji , Wang Yili , Jia Jun , Chi Chuanguo , Li Huayi
Published: July 2023

As the number of satellites in orbit increases, the issue of flight safety in spacecraft formation orbit control has become increasingly prominent. With this in mind, this paper designs a second-order terminal sliding mode controller for spacecraft formation obstacle avoidance based on an artificial potential function (APF). To demonstrate the effectiveness of the controller, this paper first constructs a Lyapunov function to prove its stability and then verifies its theoretical validity through numerical simulation. Finally, a satellite simulator is used for semi-physical simulation to verify the practical effectiveness of the controller proposed in this paper.
Performance Optimization of Multipair Massive MIMO Polarized Relay Systems
Authors: Xiong Sian , Chen Zhipeng , Jiang Nan , Zhao Jiahui , Liu Lingfeng
Published: July 2023

In this paper, we analyze the challenges faced by multipair massive Multiple-input-multiple-output (MIMO) relay channels in 5G wireless communication systems, where high path loss and severe shadow fading between different user nodes can cause poor channel quality. To overcome these limitations, we propose a polarization selection scheme for antenna arrays combining multipair massive MIMO relay and beamforming to improve MIMO relay channel quality. Specifically, our main goal is to exploit the potential of polarization diversity to maintain and improve the link quality while maintaining the compact size of the MIMO antenna array. To achieve this goal, we introduce a dynamic weighted particle swarm optimization algorithm with contraction factor (CF-DWPSO) to select the polarization direction. In addition, we employ distributed beamforming to effectively suppress or eliminate inter-pair interference. The performance of the simulation analysis shows that CF-DWPSO combined with beamforming provides significant performance improvement of the multipair massive MIMO polarized relay channels, which further indicates that it is of great necessity for improving the performance of this system to optimize the polarization selection by combining beamforming techniques.
Vulnerability Identification and Assessment for Critical Infrastructures in the Energy Sector
Authors: Nikolaou Nikolaos , Papadakis Andreas , Psychogyios Konstantinos , Zahariadis Theodore
Published: July 2023

Vulnerability identification and assessment is a key process in risk management. While enumerations of vulnerabilities are available, it is challenging to identify vulnerability sets focused on the profiles and roles of specific organizations. To this end, we have employed systematized knowledge and relevant standards (including National Electric Sector Cybersecurity Organization Resource (NESCOR), ISO/IEC 27005:2018 and National Vulnerability Database (NVD)) to identify a set of 250 vulnerabilities for operators of energy-related critical infrastructures. We have elaborated a “double-mapping” scheme to associate (arbitrarily) categorized assets, with the pool of identified Physical, Cyber and Human/Organizational vulnerabilities. We have designed and implemented an extensible vulnerability identification and assessment framework, allowing historized assessments, based on the CVSS (Common Vulnerability Scoring System) scoring mechanism. This framework has been extended to allow modelling of the vulnerabilities and assessments using the Structured Threat Information eXpression (STIX) JSON format, as Cyber Threat Intelligence (CTI) information, to facilitate information sharing between Electrical Power and Energy Systems (EPES) and to promote collaboration and interoperability scenarios. Vulnerability assessments from the initial analysis of the project in the context of Research and Technology Development (RTD) projects have been statistically processed, offering insights in terms of the assessment’s importance and distribution. The assessments have also been transformed into a dynamic dataset processed to identify and quantify correlation and start the discussion on the interpretation of the way assessments are performed.
Maintain a Better Balance between Performance and Cost for Image Captioning by a Size-Adjustable Convolutional Module
Authors: Lyu Yan , Liu Yong , Zhao Qiangfu
Published: July 2023

Image captioning is a challenging AI problem that connects computer vision and natural language processing. Many deep learning (DL) models have been proposed in the literature for solving this problem. So far, the primary concern of image captioning has been focused on increasing the accuracy of generating human-style sentences for describing given images. As a result, state-of-the-art (SOTA) models are often too expensive to be implemented in computationally weak devices. In contrast, the primary concern of this paper is to maintain a balance between performance and cost. For this purpose, we propose using a DL model pre-trained for object detection to encode the given image so that features of various objects can be extracted simultaneously. We also propose adding a size-adjustable convolutional module (SACM) before decoding the features into sentences. The experimental results show that the model with the properly adjusted SACM could reach a BLEU-1 score of 82.3 and a BLEU-4 score of 43.9 on the Flickr 8K dataset, and a BLEU-1 score of 83.1 and a BLEU-4 score of 44.3 on the MS COCO dataset. With the SACM, the number of parameters is decreased to 108M, which is about 1/4 of the original YOLOv3-LSTM model with 430M parameters. Specifically, compared with mPLUG with 510M parameters, which is one of the SOTA methods, the proposed method can achieve almost the same BLEU-4 scores, but the number of parameters is 78% less than the mPLUG.
Enhancing System Reliability and Transient Voltage Stability through Optimized Power Sources and Network Planning
Authors: Li Fan , Liu Dong , Wang Dan , Wang Wei , Liu Zhongjian , Yu Haoyang , Su Xiaofan , Zhang De , Wu Xiaoman
Published: July 2023

Renewable energy is an important means of addressing climate change and achieving carbon peaking and carbon neutrality goals. However, the uncertainty and randomness of renewable energy also have a certain impact on the flexibility, reliability, and transient voltage stability of the power system. These effects also pose great challenges to power system planning. In order to address the impact of renewable energy on power system planning, this paper proposes a two-layer optimization model for power sources and network planning which takes into account both reliability and transient voltage stability requirements. The upper-layer grid planning problem is formulated with consideration of the system reliability index, and the transient stability requirements and construction and operation costs are included in the lower-layer problem to determine a construction scheme for power generation and energy storage units. To solve the complex nonlinear problem efficiently, a two-layer iterative algorithm utilizing the adaptive particle swarm optimization (PSO) technique is proposed. The effectiveness of the proposed method is demonstrated via its application to the IEEE 33 test system. The results show that the proposed optimization approach effectively addresses the power system transmission and generation planning problem while improving the efficiency and reliability of the system’s operation. The findings can guide the design and implementation of future power system planning and operation strategies.
Lorenz’s View on the Predictability Limit of the Atmosphere
Authors: Shen Bo-Wen , Pielke Roger A. , Zeng Xubin , Zeng Xiping
Published: July 2023

To determine whether (or not) the intrinsic predictability limit of the atmosphere is two weeks and whether (or not) Lorenz’s approaches support this limit, this entry discusses the following topics: (A). The Lorenz 1963 model qualitatively revealed the essence of a finite predictability within a chaotic system such as the atmosphere. However, the Lorenz 1963 model did not determine a precise limit for atmospheric predictability. (B). In the 1960s, using real-world models, the two-week predictability limit was originally estimated based on a doubling time of five days. The finding was documented by Charney et al. in 1966 and has become a consensus. Throughout this entry, Major Point A and B are used as respective references for these topics. A literature review and an analysis suggested that the Lorenz 1963 model qualitatively revealed a finite predictability, and that findings of the Lorenz 1969 model with a saturation assumption supported the idea of the two-week predictability limit, which, in the 1960s, was estimated based on a doubling time of five days obtained using real-world models. However, the theoretical Lorenz 1963 and 1969 models have limitations, such as a lack of certain processes and assumptions, and, therefore, cannot represent an intrinsic predictability limit of the atmosphere. This entry suggests an optimistic view for searching for a predictability limit using different approaches and is supported by recent promising simulations that go beyond two weeks.
Primary Amenorrhea in Adolescents: Approach to Diagnosis and Management
Authors: Gaspari Laura , Paris Françoise , Kalfa Nicolas , Sultan Charles
Published: July 2023

Primary amenorrhea (PA) describes the complete absence of menses by the age of 15 years. It is a devastating diagnosis that can affect the adolescent’s view of her femininity, sexuality, fertility and self-image. A normal menstrual cycle can occur only in the presence of: a properly functioning hypothalamus–pituitary axis, well-developed and active ovaries, outflow tract without abnormalities. Any dysfunction in any of these players can result in amenorrhea. PA evaluation includes the patient’s medical history, physical examination, pelvic ultrasonography and initial hormone evaluation, limited to the serum-follicle-stimulating hormone (FSH) and luteinizing hormone, testosterone and prolactin. A karyotype should be obtained in all adolescents with high FSH serum levels. The main causes of PA, whether or not accompanied by secondary sexual characteristics, include endocrine defects of the hypothalamus–pituitary–ovarian axis, genetic defects of the ovary, metabolic diseases, autoimmune diseases, infections, iatrogenic causes (radiotherapy, chemotherapy), environmental factors and Müllerian tract defects. PA management depends on the underlying causes. Estrogen replacement therapy at puberty has mainly been based on personal experience. PA can be due to endocrine, genetic, metabolic, anatomical and environmental disorders that may have severe implications on reproductive health later in life. In some complex cases, a multidisciplinary team best manages the adolescent, including a pediatrician endocrinologist, gynecologist, geneticist, surgeon, radiologist, and psychologist.
Correlations between Environmental Factors and the Distribution of Juvenile Hucho bleekeri in the Taibai River, Shaanxi, China
Authors: Wu Jinming , Wu Jinping , Ye Huan , Xiong Wei , Qu Wanmin , Leng Xiaoqian , Du Hao
Published: July 2023

Sichuan taimen (Hucho bleekeri) is a national highly protected wild animal that faces significant impacts from habitat degradation and loss. To study the habitat selection by H. bleekeri, data on the Taibai River and the distribution of juvenile H. bleekeri were recorded seasonally between February 2017 and January 2018, and habitat selection was assessed using the suitability curve method. The results indicate that the average distribution density of juvenile H. bleekeri in the Taibai River is 0.08 ± 0.09 ind./m, with an optimal elevation range from 1200 to 1600 m, river sinuosity range from 1.0 to 1.2, and vegetation coverage between 0.7 and 1.0. When choosing a microhabitat, juvenile H. bleekeri individuals tend to inhabit water areas with a water depth of 0.65 ± 0.33 m, flow velocity of 0.50 ± 0.24 m/s, and offshore distance of 7.66 ± 4.25 m. Furthermore, smaller juvenile fish prefer nearshore habitats with lower flow velocities and shallower water depths. The results provide technical support for the protection and restoration of the habitat of H. bleekeri.
Simulation of Dynamic Rearrangement Events in Wall-Flow Filters Applying Lattice Boltzmann Methods
Authors: Hafen Nicolas , Marquardt Jan E. , Dittler Achim , Krause Mathias J.
Published: July 2023

Wall-flow filters are applied in the exhaust treatment of internal combustion engines for the removal of pm. Over time, the pressure drop inside those filters increases due to the continuously introduced solid material, which forms pm deposition layers on the filter substrate. This leads to the necessity of regenerating the filter. During such a regeneration process, fragments of the pm layers can potentially rearrange inside single filter channels. This may lead to the formation of specific deposition patterns, which affect a filter’s pressure drop, its loading capacity and the separation efficiency. The dynamic formation process can still not consistently be attributed to specific influence factors, and appropriate calculation models that enable a quantification of respective factors do not exist. In the present work, the dynamic rearrangement process during the regeneration of a wall-flow filter channel is investigated. As a direct sequel to the investigation of a static deposition layer in a previous work, the present one additionally investigates the dynamic behaviour following the detachment of individual layer fragments as well as the formation of channel plugs. The goal of this work is the extension of the resolved particle methodology used in the previous work via a discrete method to treat particle–particle and particle–wall interactions in order to evaluate the influence of the deposition layer topology, pm properties and operating conditions on dynamic rearrangement events. It can be shown that a simple mean density methodology represents a reproducible way of determining a channel plug’s extent and its average density, which agrees well with values reported in literature. The sensitivities of relevant influence factors are revealed and their impact on the rearrangement process is quantified. This work contributes to the formulation of predictions on the formation of specific deposition patterns, which impact engine performance, fuel consumption and service life of wall-flow filters.
Ultrasound- and Microwave-Assisted Extraction of Pectin from Apple Pomace and Its Effect on the Quality of Fruit Bars
Authors: Gurev Angela , Cesko Tatiana , Dragancea Veronica , Ghendov-Mosanu Aliona , Pintea Adela , Sturza Rodica
Published: July 2023

The article investigates the process of pectin extraction using ultrasonic and microwave techniques from apple pomace generated during juice production in the context of circular bioeconomy. The extraction yield, equivalent mass, content of methoxyl groups, content of anhydrogalacturonic acid, and degree of esterification of pectin were investigated. These indicators varied depending on the parameters and extraction method. The resulting pectin displayed a co-extracted total polyphenol content (TPC) ranging from 2.16 to 13.05 mg GAE/g DW and a DPPH radical inhibition capacity of 4.32–18.86 μmol TE/g. It was found that the antioxidant activity of raw pectin is correlated with TPC and with the content of terminal groups released during the polysaccharide degradation process. The extracted pectin was used as a binding and coating agent for dried fruit bars. Evaluation of water activity (aw), TPC and total flavonoid content (TFC), together with sensory and microbiological analyses of the fruit bars over a period of 360 days, revealed a protective effect of pectin: reducing moisture loss, minimizing the degradation of bioactive compounds during storage, and maintaining the potential antioxidant activity of the product.
Lipid Composition Analysis and Characterization of Acyl Sterol Glycosides in Adzuki and Soybean Cultivars by Non-Targeted LC-MS
Authors: Gangadhara Rachana M. , Gowda Siddabasave Gowda B. , Gowda Divyavani , Inui Ken , Hui Shu-Ping
Published: July 2023

Beans, a globally significant economic and nutritional food crop, are rich in polyphenolic chemicals with potential health advantages, providing high protein, fiber, minerals, and vitamins. However, studies on the global profiling of lipids in beans are limited. We applied a non-targeted lipidomic approach based on high-performance liquid chromatography coupled with linear ion trap–Orbitrap mass spectrometry (HPLC/LTQ-Orbitrap-MS) to comprehensively profile and compare the lipids in six distinct bean cultivars, namely, adzuki red beans—adzuki cultivar (ARB-AC), adzuki red beans—Benidainagon cultivar (ARB-BC), adzuki red beans—Erimoshouzu cultivar (ARB-EC), soybean—Fukuyutaka cultivar 2021 (SB-FC21), soybean—Fukuyutaka cultivar 2022 (SB-FC22), and soybean—Oosuzu cultivar (SB-OC). MS/MS analysis defined 144 molecular species from four main lipid groups. Multivariate principal component analysis indicated unique lipid compositions in the cultivars except for ARB-BC and ARB-EC. Evaluation of the concentrations of polyunsaturated fatty acid to saturated fatty acid ratio among all the cultivars showed that SB-FC21 and SB-FC22 had the highest value, suggesting they are the most beneficial for health. Furthermore, lipids such as acyl sterol glycosides were detected and characterized for the first time in these bean cultivars. Hierarchical cluster correlations revealed the predominance of ceramides in ARB-EC, lysophospholipids in SB-FC21, and glycerophospholipids in SB-OC. This study comprehensively investigated lipids and their compositions in beans, indicating their potential utility in the nutritional evaluation of beans as functional foods.
The Peptide Fractions of Cheddar Cheese Made with Lactobacillus helveticus 1.0612 Play Protective Effects in H2O2-Induced Oxidative-Damaged Caco-2 Cells Models
Authors: Yang Wanshuang , Zhang Xiuxiu , Sun Meng , Jiao Yang , Li Xiaodong , Liu Lu , Wang Zhong
Published: July 2023

In this study, water-soluble peptide (WSP) fractions of cheddar cheese made with Lactobacillus helveticus 1.0612 were purified into WSP-Ⅰ (<3 kDa), WSP-Ⅱ (3–10 kDa), and WSP-Ⅲ (>10 kDa). The protective effects of WSP, WSP-Ⅰ, WSP-Ⅱ, and WSP-Ⅲ fractions against oxidative stress in Caco-2 cells were assayed, and the cytoprotective mechanism of WSP-Ⅰ on cells oxidative damage was elucidated via metabolomics. The results showed that all four peptide fractions were able to attenuate the decrease in cell viability caused by oxidative stress and also could reduce the production of reactive oxygen species and malondialdehyde caused by oxidative stress, and increased cellular catalase and superoxide dismutase activities, thereby enhancing cellular antioxidant capacity. The WSP-Ⅰ fraction with the highest protective effect was used for metabolomics analysis, and 15 significantly different metabolites were screened. Functional pathway analysis revealed that the protective effect of the WSP-I fraction was related with nine metabolic pathways and weakened the metabolic disorders caused by H2O2 via regulating energy metabolism and amino acid metabolism. All in all, peptide fractions of cheddar cheese showed a cytoprotective effect through improved cellular metabolism.
The Antioxidant Properties of Selected Varieties of Pumpkin Fortified with Iodine in the Form of Potassium Iodide and Potassium Iodate
Authors: Zaremba Agata , Hęś Marzanna , Jędrusek-Golińska Anna , Przeor Monika , Szymandera-Buszka Krystyna
Published: July 2023

This study aimed to investigate the use of selected pumpkin varieties as carriers of potassium iodide (KI) and potassium iodate (KIO3) at different concentrations (2.3, 0.23, and 0.023 mg/100 g). It was hypothesized that the concentrations and form of iodine fortification in pumpkins affect the antioxidant activity of pumpkins. The results showed a high recovery of the introduced iodine in all pumpkin varieties after drying, as well as high iodine stability during storage, especially for KIO3. However, statistical analysis confirmed a relationship between the forms and concentration of iodine and the ABTS cation radical and the DPPH radical test results. In the systems with iodine concentration at 0.023 and 0.23 mg/100 g, the antioxidant activity did not change. However, for all pumpkin varieties fortified with a KIO3 concentration at 3.9 mg/100 g (2.3 mg/100 g of iodine), a statistically significant decrease in free-radical scavenging was confirmed. Therefore, for maximum effectiveness in pumpkin’s free-radical scavenging indices, it is suggested to introduce iodine in the form of KI and KIO3, but in controlled concentrations. However, KIO3 should be added at a maximum amount of 0.39 mg/100 g.
Assessment of Nitrite Content in Vienna Chicken Sausages Using Near-Infrared Hyperspectral Imaging
Authors: Tantinantrakun Achiraya , Thompson Anthony Keith , Terdwongworakul Anupun , Teerachaichayut Sontisuk
Published: July 2023

Sodium nitrite is a food additive commonly used in sausages, but legally, the unsafe levels of nitrite in sausage should be less than 80 mg/kg, since higher levels can be harmful to consumers. Consumers must rely on processors to conform to these levels. Therefore, the determination of nitrite content in chicken sausages using near infrared hyperspectral imaging (NIR-HSI) was investigated. A total of 140 chicken sausage samples were produced by adding sodium nitrite in various levels. The samples were divided into a calibration set (n = 94) and a prediction set (n = 46). Quantitative analysis, to detect nitrate in the sausages, and qualitative analysis, to classify nitrite levels, were undertaken in order to evaluate whether individual sausages had safe levels or non-safe levels of nitrite. NIR-HSI was preprocessed to obtain the optimum conditions for establishing the models. The results showed that the model from the partial least squares regression (PLSR) gave the most reliable performance, with a coefficient of determination of prediction (Rp) of 0.92 and a root mean square error of prediction (RMSEP) of 15.603 mg/kg. The results of the classification using the partial least square-discriminant analysis (PLS-DA) showed a satisfied accuracy for prediction of 91.30%. It was therefore concluded that they were sufficiently accurate for screening and that NIR-HSI has the potential to be used for the fast, accurate and reliable assessment of nitrite content in chicken sausages.
Uncovering the Quality Deficiencies with Potentially Harmful Effects in Substandard and Falsified PDE-5 Inhibitors Seized by Belgian Controlling Agencies
Authors: Vanhee Celine , Jacobs Bram , Mori Marcella , Kamugisha Angélique , Debehault Loïc , Canfyn Michael , Ceyssens Bart , Van Der Meersch Hans , van Hoorde Koenraad , Deconinck Eric , Willocx Marie
Published: July 2023

Illicit PDE-5 inhibitors are frequently encountered by regulatory agencies. Self-medicating with substandard and falsified (SF) PDE-5 inhibitors could be dangerous as they are likely taken without any medical supervision and might be of poor quality which could result in adverse reactions. In order to provide an overview of the quality deficiencies present in recently seized illicit PDE-5 samples that may pose health risks, we set out to identify the products’ different chemical and/or biological risks. Our results indicate that 38% of the samples harbored a chemical risk including the significant exceedance of the maximum recommended dosage, a large heterogeneity in API content between the different tablets in the same package or blister and the presence of only 40% of the claimed dosage. Moreover, our results also demonstrate that 16 of the 32 samples were not compliant with the internationally set microbiological quality standards. Startlingly, two samples were severely contaminated with potentially pathogenic bacteria, which could result in a gastrointestinal illness upon oral intake.
Anomalous Thermally Induced Deformation in Kelvin–Voigt Plate with Ultrafast Double-Strip Surface Heating
Authors: Awad Emad , Alhazmi Sharifah E. , Abdou Mohamed A. , Fayik Mohsen
Published: July 2023

The Jeffreys-type heat conduction equation with flux precedence describes the temperature of diffusive hot electrons during the electron–phonon interaction process in metals. In this paper, the deformation resulting from ultrafast surface heating on a “nanoscale” plate is considered. The focus is on the anomalous heat transfer mechanisms that result from anomalous diffusion of hot electrons and are characterized by retarded thermal conduction, accelerated thermal conduction, or transition from super-thermal conductivity in the short-time response to sub-thermal conductivity in the long-time response and described by the fractional Jeffreys equation with three fractional parameters. The recent double-strip problem, Awad et al., Eur. Phy. J. Plus 2022, allowing the overlap between two propagating thermal waves, is generalized from the semi-infinite heat conductor case to thermoelastic case in the finite domain. The elastic response in the material is not simultaneous (i.e., not Hookean), rather it is assumed to be of the Kelvin–Voigt type, i.e., σ=Eε+τεε˙, where σ refers to the stress, ε is the strain, E is the Young modulus, and τε refers to the strain relaxation time. The delayed strain response of the Kelvin–Voigt model eliminates the discontinuity of stresses, a hallmark of the Hookean solid. The immobilization of thermal conduction described by the ordinary Jeffreys equation of heat conduction is salient in metals when the heat flux precedence is considered. The absence of the finite speed thermal waves in the Kelvin–Voigt model results in a smooth stress surface during the heating process. The temperature contours and the displacement vector chart show that the anomalous heat transfer characterized by retardation or crossover from super- to sub-thermal conduction may disrupt the ultrafast laser heating of metals.
Public Anxiety, Attitudes, and Practices towards COVID-19 Infection in the Eastern Province of Saudi Arabia: A Cross-Sectional Study
Authors: Berekaa Mahmoud Mohamed , AlMulla Abdulaziz Abdulrahman , AlMoslem Munthir Mohammed , AlSahli Khalid Saif , AlJassim Mohammed Tawfiq , AlSaif Abdulmalik Salman , AlQuwayi Salman Ali
Published: July 2023

Coronavirus disease 2019, or COVID-19, still has a terrifying potential due to its continuous genetic variation. Although vaccines have been created, adherence to preventive measures remains a privileged choice to tackle the pandemic. This study aims to investigate the anxiety, attitudes, and practices (KAPs) towards COVID-19 infection in the Eastern Province of Saudi Arabia. In this cross-sectional study, data were collected from 400 participants via an online self-structured questionnaire. Anxiety, attitude, and practice scores were calculated by summing the points of the statements under the corresponding domain multiplied by 100 over 12, 21, or 15, respectively. Chi-square and one-way analysis of variance were used to investigate the relationships between vaccination, anxiety, attitude, practice scores, and demographic characteristics. More than half of the participants were female (58.5%; mean age of 29.5 years; the majority in the age groups of <20 years and 21–30 years). Only 21.5% of the participants were suffering from or previously had chronic diseases. Notably, 22.3% of the male participants were vaccinated (p = 0.000). The old age groups (41–50 years and >50 years) were more vaccinated (16.3% and 24.1%, respectively, p = 0.000), as well as the unemployed (36.4%; p = 0.000). The mean scores of anxiety, attitude, and practice were 66.8, 72.3, and 85.2, respectively. Females had an anxiety score of 68.5% (p = 0.008) and a higher attitude score of 68.5% (p = 0.008). Infected male participants had a lower practice score of 80% (p = 0.038), while females recorded higher practice scores (85.7 ± 11.6). The results highlight the importance of reliable communication from health representatives and legislators in educating the public and promoting their knowledge about non-therapeutic interventions. Efficient intervention approaches are required to fill the gap during the implementation of non-therapeutic measures. Also, it is recommended that awareness programs, during COVID-19 or any other similar pandemics, should be tailored to target Eastern Province inhabitants, especially males.
Evaluation of Atlas-Based Mobile Application in Undergraduate Teaching in Oral Histopathology
Authors: Deng Shuangshan , Li Zucen , Ma Xinyu , Wei Yali , Lyu Ping , Fan Yi
Published: July 2023

The utilization of mobile devices in education is a growing trend in various subjects. We developed the Dental and Maxillofacial Development Teaching Atlas App, and applied it to the learning process of oral histopathology. The aim of the current study was to investigate the educational effects of atlas-based mobile-assisted teaching in the field of dental medicine, and to suggest relevant improvements. The Dental and Maxillofacial Development Teaching Atlas App encompasses a wide range of atlases. It harbors various features, such as terminology definitions, student communications, and teacher–student interactions. By conducting questionnaires (70 students) and a quiz (68 students), we obtained students’ feedback, to evaluate the effects and application prospects of the WeChat applet. The questionnaire results indicate that students experienced a high level of satisfaction and support. Additionally, students participated in the quiz, with the experimental group exhibiting significantly higher average scores than the control group. The fill-in-the-blank questions, image recognition questions, and the total score all demonstrated statistically significant differences, while the terminology definition questions did not. The Dental and Maxillofacial Development Teaching Atlas App facilitates students’ utilization of fragmented time for learning, and demonstrates positive effects in enhancing students’ learning interests and proactiveness. It also holds promising potential for applications in other disciplines in the field of dental education.
Impact of Vitamin D Deficiency on Mental Health in University Students: A Cross-Sectional Study
Authors: Almuqbil Mansour , Almadani Moneer E. , Albraiki Salem Ahmad , Alamri Ali Musharraf , Alshehri Ahmed , Alghamdi Adel , Alshehri Sultan , Asdaq Syed Mohammed Basheeruddin
Published: July 2023

Students pursuing a university education are vulnerable to psychological burdens such as depression, anxiety, and stress. The frequency of vitamin D deficiency, on the other hand, is extensively recognized worldwide, and vitamin D regulates various neurological pathways in the brain that control psychological function. Therefore, the goal of this cross-sectional study was to determine the relationship between vitamin D deficiency and psychological burden among university students in Riyadh, Saudi Arabia. During March–May 2021 in Riyadh, a cross-sectional comparative study survey was delivered to university students. The DASS-21 scale was used to determine the severity of the psychological burden. Both univariate and binomial regression analyses were conducted to analyze the level of significance and influence of several factors on the development of psychological burden. The data were analyzed with SPSS-IBM, and a p value of <0.05 was considered significant. Of the 480 students recruited for the study, 287 (59.79%) had a vitamin D deficiency. Significantly (p = 0.048), a high proportion of the vitamin D-deficient students attained a low or moderate GPA compared to the control cohort. The prevalence of depression, anxiety, and stress among the vitamin D-deficient students was 60.35%, 6.31%, and 75.08%, respectively, which was significantly (p < 0.05) different from the control group. The odds of developing depression (OR = 4.96; CI 2.22–6.78; p < 0.001), anxiety (OR = 3.87; CI 2.55–6.59; p < 0.001), and stress (OR = 4.77; CI 3.21–9.33; p < 0.001) were significantly higher in the vitamin D-deficient group. The research shows a strong association between psychological stress and vitamin D deficiency. To promote the mental health and psychological wellbeing of university students, it is critical to create awareness about the adequate consumption of vitamin D. Additionally, university students should be made aware of the likelihood of a loss in academic achievement owing to vitamin D deficiency, as well as the cascade effect of psychological burden.
Predictors of Nursing Faculty Job and Career Satisfaction, Turnover Intentions, and Professional Outlook: A National Survey
Authors: Boamah Sheila A. , Kalu Michael E. , Havaei Farinaz , McMillan Kimberly , Belita Emily
Published: July 2023

Background: Retaining talented and experienced nurses in clinical practice and academia is crucial for maintaining continuity, ensuring high-quality care and education, and fostering a positive work environment. Although factors influencing nursing staff retention are well documented, little is known about how workplace factors impact nursing faculty retention outcomes. Methods: A national survey involving 645 nursing faculty across Canada was undertaken. Multivariate regression analysis with interaction effects was conducted to determine the association between work-related factors (i.e., workplace culture and work–life imbalance) and faculty job and career satisfaction, turnover intentions, and professional outlook. Results: Supportive workplace culture positively influenced faculty job and career satisfaction and professional outlook, while it negatively impacted turnover intentions. Conversely, work–life imbalance decreased faculty job and career satisfaction and professional outlook (i.e., confidence in nursing program, profession), and it increased intentions to leave the job. Conclusion: Our results offer insights into the work–life experiences of Canadian faculty members and shed light on key factors that impact their job-related outcomes. In the context of competing resources, every effort must be made to improve modifiable workplace factors such as the academic work environment and create targeted interventions and policies to promote faculty retention.
Assessing the Impact of COVID-19 Prevention Measures on Adolescent Growth in Italy
Authors: Zaccagni Luciana , Rinaldo Natascia , Mazzoni Gianni , Mandini Simona , Masotti Sabrina , Toselli Stefania , De Luca Federica , Gualdi-Russo Emanuela
Published: July 2023

COVID-19 infection has caused increased morbidity and mortality worldwide. Several strategies have been adopted around the world to prevent its spread. Italy underwent a long lockdown for face-to-face educational activities, which were replaced with online classes. This longitudinal study aimed to analyze the effects of COVID-19 prevention measures on physical growth and body image perception in a sample of Italian adolescents who experienced the pandemic-induced lockdown in 2020. In particular, we wished to ascertain how lifestyle changes had affected their growth rates and health. Special attention was paid to increases in adiposity indicators (BMI, waist circumference, waist-to-height ratio) and weight caused by reduced physical activity, and consequent possible dissatisfaction with body image. We assessed the impact of school closures by comparing the annual growth rate and body image perception changes of adolescents (n = 60; age = 11.3 ± 0.4 years) who experienced this isolation with those in the following years who did not experience these restrictions (n = 68; age = 11.4 ± 0.3 years). As a consequence of the lockdown, our results indicate a greater annual growth rate in weight and other indices of adiposity (p < 0.05). As the virus is continuing to evolve and propagate, larger population studies can verify and confirm our findings. In promoting health policy to prevent the ongoing prevalence of obesity in adolescents, an accurate assessment of whether the increase in obesity rates during the pandemic is to be considered a temporary trend is highly recommended.