bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrated Nanostructures of TiO2/g-C3N4/Diatomite Based on Low-Grade Diatomite as Efficient Catalyst for Photocatalytic Degradation of Methylene Blue: Performance and Mechanism
Authors: Zhou Junxia , Cheng Liang , Ma Zhijun , Weng Xingyuan , Gao Jing
Published: April 2023

The comprehensive utilization of low-grade diatomite resources and the effective treatment of printing and dyeing wastewater have attracted widespread attention. The combined scrubbing-magnetic separation-acid leaching-roasting process was used to increase the SiO2 content from 59.22% to 86.93%, reduce the Al2O3 content from 18.32% to 6.75%, and reduce the Fe2O3 content from 6.85% to 1.24% in the low-grade diatomite from Heilongjiang, China. The TiO2/g-C3N4/diatomite nanocomposite was prepared by a facile ultrasonic-thermal polymerization method. In this ternary structure, diatomite skeleton effectively increased the surface area with abundant adsorption sites, prevented g-C3N4 from restacking, and facilitated the separation of electrons and holes via the formation of TiO2/g-C3N4 heterojunctions. The degradation rate was 98.77%, 90.59%, and 89.16% for the three catalytic reaction cycles of the MB solution, respectively. The composite showed a high degradation rate of the MB solution after three cycles, which indicated that the composite had good recyclability. Through the free radical capture test, it was elucidated that O2−·, h+, and ·OH all played a role in the photocatalytic reaction of the TiO2/g-C3N4/diatomite to the MB solution, in which O2−· was mainly responsible for the photocatalytic oxidation mechanism, and the reaction kinetics were further investigated. This nanostructured TiO2/g-C3N4/diatomite composite has fascinating visible light catalytic activity and excellent stability.
Progerinin, an Inhibitor of Progerin, Alleviates Cardiac Abnormalities in a Model Mouse of Hutchinson–Gilford Progeria Syndrome
Authors: Kang So-mi , Seo Seungwoon , Song Eun Ju , Kweon Okhee , Jo Ah-hyeon , Park Soyoung , Woo Tae-Gyun , Kim Bae-Hoon , Oh Goo Taeg , Park Bum-Joon
Published: April 2023

Hutchinson–Gilford Progeria Syndrome (HGPS) is an ultra-rare human premature aging disorder that precipitates death because of cardiac disease. Almost all cases of HGPS are caused by aberrant splicing of the LMNA gene that results in the production of a mutant Lamin A protein termed progerin. In our previous study, treatment with Progerinin has been shown to reduce progerin expression and improve aging phenotypes in vitro and in vivo HGPS models. In this record, cardiac parameters (stroke volume (SV), ejection fraction (EF), fractional shortening (FS), etc.) were acquired in LmnaWT/WT and LmnaG609G/WT mice fed with either a vehicle diet or a Progerinin diet by echocardiography (from 38 weeks to 50 weeks at various ages), and then the cardiac function was analyzed. We also acquired the tissue samples and blood serum of LmnaWT/WT and LmnaG609G/WT mice for pathological analysis at the end of echocardiography. From these data, we suggest that the administration of Progerinin in the HGPS model mouse can restore cardiac function and correct arterial abnormalities. These observations provide encouraging evidence for the efficacy of Progerinin for cardiac dysfunction in HGPS.
Rickettsia Deregulates Genes Coding for the Neurotoxic Cell Response Pathways in Cerebrocortical Neurons In Vitro
Authors: Cente Martin , Danchenko Monika , Skultety Ludovit , Filipcik Peter , Sekeyova Zuzana
Published: April 2023

Rickettsial infections of the central nervous system (CNS) are manifested by severe neurological symptoms and represent a serious life-threatening condition. Despite the considerable health danger, only a few studies have been conducted focusing on the pathogenesis induced by Rickettsia sp. in CNS. To investigate the signaling pathways associated with the neurotoxic effects of rickettsiae, we employed an experimental model of cerebrocortical neurons combined with molecular profiling and comprehensive bioinformatic analysis. The cytopathic effect induced by Rickettsia akari and Rickettsia slovaca was demonstrated by decreased neuronal viability, structural changes in cell morphology, and extensive fragmentation of neurites in vitro. Targeted profiling revealed the deregulation of genes involved in the neuroinflammatory and neurotoxic cell response pathways. Although quantitative analysis showed differences in gene expression response, functional annotation revealed that the biological processes are largely shared between both Rickettsia species. The identified enriched pathways are associated with cytokine signaling, chemotaxis of immune cells, responses to infectious agents, interactions between neurons, endothelial and glial cells, and regulation of neuronal apoptotic processes. The findings of our study provide new insight into the etiopathogenesis of CNS infection and further expand the understanding of molecular signaling associated with neuroinvasive Rickettsia species.
Mechanical Properties of Five Esthetic Ceramic Materials Used for Monolithic Restorations: A Comparative In Vitro Study
Authors: Almohammed Saleh N. , Alshorman Belal , Abu-Naba’a Layla A.
Published: April 2023

Monolithic zirconia and hybrid ceramic restorations have been widely used in the last decade for both anterior and posterior dental restorations. However, their use lacks sufficient scientific evidence in most cases, as the expeditious manufacturing of these versatile ceramic materials exceeds the limits of in vitro and/or in vivo validation. This study aimed to evaluate and compare the mechanical properties (flexural strength, fracture toughness, Vickers hardness, and brittleness index) of three CAD-CAM monolithic multilayer zirconia ceramics (GNX—Ceramill Zolid® Gen-X, ZCP—IPS e.max® ZirCAD, and UPC—Upcera® Esthetic Explore Prime) and one CAD-CAM monolithic multilayer polymer-infiltrated hybrid ceramic (ENM—Vita® Enamic) with a CAD-CAM monolithic lithium disilicate ceramic as a control (EMX —IPS e.max® CAD). A total of 160 discs (GNX = 32, ZCP = 32, UPC = 32, ENM = 32, and EMX = 32) were cut, polished, and fully sintered (except for the ENM). Half of the samples for each group were subjected to hydrothermal aging. Descriptive analysis and ANOVA tests were used to compare the groups. The zirconia groups showed significantly higher mechanical properties than the EMX group for both the non-aged and aged samples (p < 0.05). The ENM group showed the lowest brittleness index, while EMX showed the highest. The mechanical properties of monolithic multilayer zirconia ceramics were generally better than those of monolithic multilayer polymer-infiltrated hybrid ceramic and lithium disilicate ceramic. All groups showed, to some extent, a change in their mechanical properties after aging, with the ENM being the most affected.
On the Statistics of Mechanical Failure in Flame-Sprayed Self-Supporting Components
Authors: Kerber Florian , Hollenbach Magda , Neumann Marc , Wetzig Tony , Schemmel Thomas , Jansen Helge , Aneziris Christos G.
Published: April 2023

The objective of this study was to investigate the variability of flexural strength for flame-sprayed ceramic components and to determine which two-parametric distribution function was best suited to represent the experimental data. Moreover, the influence of the number of tested specimens was addressed. The stochastic nature of the flame-spraying process causes a pronounced variation in the properties of potential components, making it crucial to characterise the fracture statistics. To achieve this, this study used two large data sets consisting of 1000 flame-sprayed specimens each. In addition to the standard Weibull approach, the study examined the quality of representing the experimental data using other two-parametric distribution functions (Normal, Log-Normal, and Gamma). To evaluate the accuracy of the distribution functions and their characteristic parameters, random subsamples were generated by resampling of the experimental data, and the results were assessed based on the sampling size. It was found that the experimental data were best represented by either the Weibull or Gamma distribution, and the quality of the fit was correlated with the number of positive and negative outliers. The Weibull fit was more sensitive to positive outliers, whereas the Gamma fit was more sensitive to negative outliers.
Burden and Psychological Distress in Caregivers of Persons with Addictions
Authors: Mikulić Mirjana , Ćavar Ivan , Jurišić Darija , Jelinčić Ivana , Degmečić Dunja
Published: April 2023

Addiction is a complex psychosocial problem that has significant psychosocial effects on family members. The aim of this study is to gain insight into the burden and psychological distress suffered by caregivers of drug abusers. Ninety-nine caregivers of hard drug addicts participated in this study. The test group consisted of 50 participants and the control group had 49 participants. The participants filled out the General Demographic Questionnaire; Caregiving and the Experience of Subjective and Objective Burden; SCL-90-R; and WHOQOL-BREF. Caregivers of addicts who were preparing to join the community exhibited a significantly higher objective burden, subjective burden, subjective stress burden and greater psychological distress in comparison to caregivers of addicts in the community, and their quality of life was poorer (p < 0.001). The following showed to be risk factors for psychological distress: families with a greater number of children, marital, employment and economic status and duration of addiction. The protective factors were better quality of life, long-term marriage and higher education level of caregivers. Caring for addicts who are living with their families is a significant responsibility and burden for caregivers.
The Effect of Maternal SARS-CoV-2 Infection on Neonatal Outcome
Authors: Matyas Melinda , Valeanu Madalina , Hasmasanu Monica , Voina Bianca , Tutu Adelina , Zaharie Gabriela C.
Published: April 2023

(1) Background: Neonates born to SARS-CoV-2 positive mothers are at risk of infection, as well as adverse outcomes due to the infection. The aim of our study was to analyze the impact of maternal SARS-CoV-2 infection on neonatal outcome. (2) Methods: We conducted a prospective, longitudinal study. We collected data on maternal symptomatology upon admission and their correlation with the development of the infant. Through a questionnaire we analyzed the impact on breastfeeding of the separation of the mother from the newborn, as well as the maternal psycho-emotional effect. (3) Results: Ninety infants were enrolled in the study, from one twin pregnancy and the rest singleton pregnancies. Out of the 89 mothers, 34 showed symptoms. Neonates from mothers with anosmia and ageusia had a higher value of WBC and lymphocytes (p = 0.06 and p = 0.04). Breastfeeding was started in 57.3% of mothers after their discharge from hospital and only 41.6% of the whole study group continued at the follow-up visit. Mothers who described a negative experience during hospitalization associated a 2.42 times higher risk of not continuing breastfeeding. (4) Conclusion: None of the infants enrolled in the study had SARS-CoV-2 infection either at birth or within the first two months of life. Breastfeeding was started with more than half newborns after discharge from hospital. The negative experience generated by the separation from their babies influenced breastfeeding.
Polymer Wrapping onto Nanoparticles Induces the Formation of Hybrid Colloids
Authors: La Mesa Camillo , Risuleo Gianfranco
Published: April 2023

Polymers stabilize the nanoparticles onto which they wrap, avoiding coagulation and undesired phase separation processes. Wrapping gives rise to hybrid colloids, and is useful in bio-intended applications. In non-covalent interaction modes, polymers physically adsorb onto the nanoparticles’ surface, NPs, and some of their portions protrude outside. Both their non-interacting parts and the free polymers are in contact with the solvent, and/or are dispersed in it. Wrapping/protruding ratios were forecast with a simple statistical thermodynamic model, and the related energy calculated. The wrapping efficiency is controlled by different contributions, which stabilize polymer/NP adducts. The most relevant ones are ascribed to the NP-polymer, polymer–polymer, and polymer–solvent interaction modes; the related energies are quite different from each other. Changes in the degrees of freedom for surface-bound polymer portions control the stability of adducts they form with the NPs. The links between wrapped, free, and protruding states also account for depletion, and control the system’s properties when the surface adsorption of hosts is undesired. Calculations based on the proposed approach were applied to PEO wrapping onto SiO2, silica, and nanoparticles. The interaction energy, W, and the changes in osmotic pressure associated with PEO binding onto the NPs have been evaluated according to the proposed model.
Effect of Surfactants/Gels on the Stability of Boron Particle Dispersion in Liquid Fuel
Authors: Dilipkumar P. , Sonawane Shirish H. , Srinath S.
Published: April 2023

Metal-based nanofillers are used as disperssants to enhance thermal conductivity for a minimal fuel requirement to extract maximum energy. To achieve this, metal-based nanofillers must be suspended uniformly into jet fuel so that desired propulsive characteristics can be achieved. However, the dispersion of the metal-based nanofillers into the jet fuel is a critical challenge due to the density and viscosity that are independent parameters with a scattered relation. Hence, in the current work, we intended to investigate the propulsive characteristics of the JP-10 (Exo-Tetra Hydro Dicyclopentadiene) jet fuel dispersed with boron particles (BP) at various concentrations. The challenge involved in the current work was to make dispersion stable for a longer period due to the absence of functional groups entailed to BPs. Alongside JP-10, is a single-component, high-density hydrocarbon that can that can exhibit thixotropic characteristic in nature and hence combining with BP makes it difficult; hence, there is a need for oligomerization or the addition of surfactants that are derived from oligomers. Hence, in the current work, the BPs were dispersed in jet fuel by the ultrasound probe with various surfactants, namely Hydroxyl Terminated Polybutadiene (HTPB), Triton X-100, Span 80, Oleic acid, and Sodium dodecyl sulfate (SDS), followed by an investigation of their stability. The experimental studies reported that the stability of the boron was longest, for 54 h, with 0.5 wt.% boron and 0.3 wt.% HTPB at a micron size of the boron particles (325 ± 25 nm). The uniform dispersion of the particles was achieved by the effect of the ultrasound probe. From the thermal analysis, a total weight loss of 25% was observed within a short range of temperatures, i.e., 50 to 200 °C.
Synthesis, X-ray Diffraction, NMR and Thermolysis Studies of Cadmium Tin Sulfido Complexes
Authors: Fuhrmann Daniel , Bollfraß Nick Hermann , Icker Maik , Krautscheid Harald
Published: April 2023

Three molecular sulfido complexes containing a Cd-S-Sn structure motive, [{(tmeda)Cd}3(SnPh)2S6] (1), [{(tmeda)Cd}2(SnPh2)2S4] (2) and [{(iPr3P)Cd}3Cd4(SnPh2)6S13] (3), have been synthesized and characterized by single-crystal X-ray diffraction. So far, 2 is the first cadmium tin sulfido complex soluble in common organic solvents. Analysis by 113Cd and 119Sn NMR spectroscopy shows a slow rearrangement in solution, while spin coupling between the nuclei can be used to identify the species in solution. Thermolysis of 2 results in CdS and SnS as solid thermolysis products.
Mesenchymal Tumors of the Breast: Fibroblastic/Myofibroblastic Lesions and Other Lesions
Authors: Azam Riordan , Mrkonjic Miralem , Gupta Abha , Gladdy Rebecca , Covelli Andrea M.
Published: April 2023

Mesenchymal breast tumors are a rare and diverse group of tumors that present some of the most challenging cases for multidisciplinary breast cancer teams. As a result of overlapping morphologies and a lack of large-scale studies on these tumors, practices are often heterogeneous and slow to evolve. Herein, we present a non-systematic review that focuses on progress, or lack thereof, in the field of mesenchymal breast tumors. We focus on tumors originating from fibroblastic/myofibroblastic cells and tumors originating from less common cellular origins (smooth muscle, neural tissue, adipose tissue, vascular tissue, etc.).
Characteristics of the Stone Crayfish Population along a Disturbance Gradient—A Case Study of the Kustošak Stream, Croatia
Authors: Tarandek Anita , Lovrenčić Leona , Židak Lana , Topić Martina , Grbin Dorotea , Gregov Marija , Ćurko Josip , Hudina Sandra , Maguire Ivana
Published: April 2023

The stone crayfish, Austropotamobius torrentium, is a native European freshwater species sensitive to habitat alterations such as stream channelization and urban development, putting its populations at risk. This study aims to assess how habitat alteration and subsequent water quality changes affect the stone crayfish population in the Kustošak Stream (Croatia) through three selected sites under different levels of anthropogenic disturbance: (1) undisturbed; (2) recently modified, and (3) long-time modified sites. At each site, crayfish were captured, measured, and marked to estimate population size, structure, and crayfish condition. Additionally, we examined whether water quality (18 measured physicochemical parameters) affects relative crayfish abundance. We also used mitochondrial sequencing and microsatellite genotyping to assess species genetic diversity and population connectivity and to compare results among the sites. The results showed that habitat alteration caused an overall reduction in population abundance and changes in size structure; however, it had not yet resulted in detectable genetic differences. Partial least squares regression showed that crayfish abundance was affected by the physicochemical parameters of water, including, among others, oxygen, calcium ions, nitrates, pH, and water temperature. We discuss our findings in the context of the effects of anthropogenic disturbance on the viability and persistence of this EU priority species.
Ultra-High-Resolution CT of the Head and Neck with Deep Learning Reconstruction—Assessment of Image Quality and Radiation Exposure and Intraindividual Comparison with Normal-Resolution CT
Authors: Altmann Sebastian , Abello Mercado Mario A. , Ucar Felix A. , Kronfeld Andrea , Al-Nawas Bilal , Mukhopadhyay Anirban , Booz Christian , Brockmann Marc A. , Othman Ahmed E.
Published: April 2023

Objectives: To assess the benefits of ultra-high-resolution CT (UHR-CT) with deep learning–based image reconstruction engine (AiCE) regarding image quality and radiation dose and intraindividually compare it to normal-resolution CT (NR-CT). Methods: Forty consecutive patients with head and neck UHR-CT with AiCE for diagnosed head and neck malignancies and available prior NR-CT of a different scanner were retrospectively evaluated. Two readers evaluated subjective image quality using a 5-point Likert scale regarding image noise, image sharpness, artifacts, diagnostic acceptability, and assessability of various anatomic regions. For reproducibility, inter-reader agreement was analyzed. Furthermore, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and slope of the gray-value transition between different tissues were calculated. Radiation dose was evaluated by comparing CTDIvol, DLP, and mean effective dose values. Results: UHR-CT with AiCE reconstruction led to significant improvement in subjective (image noise and diagnostic acceptability: p < 0.000; ICC ≥ 0.91) and objective image quality (SNR: p < 0.000; CNR: p < 0.025) at significantly lower radiation doses (NR-CT 2.03 ± 0.14 mSv; UHR-CT 1.45 ± 0.11 mSv; p < 0.0001) compared to NR-CT. Conclusions: Compared to NR-CT, UHR-CT combined with AiCE provides superior image quality at a markedly lower radiation dose. With improved soft tissue assessment and potentially improved tumor detection, UHR-CT may add further value to the role of CT in the assessment of head and neck pathologies.
Etiological Factors of Molar Incisor Hypomineralization: A Systematic Review and Meta-Analysis
Authors: Juárez-López María Lilia A. , Salazar-Treto Leslie Vanessa , Hernández-Monjaraz Beatriz , Molina-Frechero Nelly
Published: April 2023

Molar incisor hypomineralization (MIH) is a defect of the dental enamel that predominantly affects first molars and permanent incisors. Identifying the significant risk factors associated with MIH occurrence is essential for the implementation of prevention strategies. The purpose of this systematic review was to determine the etiological factors associated with MIH. A literature search was carried out from six databases until 2022; it covered pre-, peri-, and postnatal etiological factors. The PECOS strategy, PRISMA criteria, and the Newcastle–Ottawa scale were used, and 40 publications were selected for qualitative analysis as well as 25 for meta-analysis. Our results revealed an association between a history of illness during pregnancy (OR 4.03 (95% CI, 1.33–12.16), p = 0.01) and low weight at birth (OR 1.23 (95% CI, 1.10–1.38), p = 0.0005). Furthermore, general illness in childhood (OR 4.06 (95% CI, 2.03–8.11), p = 0.0001), antibiotic use (OR 1.76 (95% CI, 1.31–2.37), p = 0.0002), and high fever during early childhood (OR 1.48 (95% CI, 1.18–1.84), p = 0.0005) were associated with MIH. In conclusion, the etiology of MIH was found to be multifactorial. Children with health disorders in the first years of life and those whose mothers underwent illnesses during pregnancy might be more susceptible to MIH.
Efficacy of Periodontal Endoscopy during Subgingival Debridement to Treat Periodontitis: A Systematic Review of Randomized Clinical Trials
Authors: Ardila Carlos M. , Vivares-Builes Annie Marcela
Published: April 2023

This study aims to evaluate the clinical efficacy of periodontal endoscopy (PEND) during subgingival debridement to treat periodontitis. A systematic review of randomized clinical trials (RCTs) was performed. The search strategy included four databases: PubMed, Web of Sciences, Scopus, and Scielo. The initial online exploration generated 228 reports, and 3 RCTs met the selection criteria. These RCTs described a statistically significant decrease in probing depth (PD) in the PEND group compared to controls after 6 and 12 months of follow-up. The improvement in PD was 2.5 mm for PEND and 1.8 mm for the control groups, respectively (p < 0.05). It was also described that the PEND group presented a significantly inferior proportion of PD 7 to 9 mm at 12 months (0.5%) as compared to the control group (1.84%) (p = 0.03). All RCTs noted improvements in clinical attachment level (CAL). It was described as having significant differences in bleeding on probing (BOP) in favor of PEND, with an average reduction of 43% versus 21% in the control groups. Similarly, it was also presented that they were significant differences in plaque indices in favor of PEND. PEND during subgingival debridement to treat periodontitis demonstrated efficacy in reducing PD. Improvement was also observed in CAL and BOP.
Study on Heat Transfer Characteristics of Graphene Nanofluids in Mini-Channels of Thermal Integrated Building
Authors: Cui Yongbin , Liu Dong , Shu Yu
Published: April 2023

Two kinds of rectangular mini-channels of different sizes were designed and fabricated for testing the convective heat transfer characteristics of graphene nanofluids. The experimental results show that the average wall temperature decreases with the increases in graphene concentration and Re number at the same heating power. Within the experimental Re number range, the average wall temperature of 0.03% graphene nanofluids in the same rectangular channel decreases by 16% compared with that of water. At the same heating power, the convective heat transfer coefficient increases with the increase in the Re number. The average heat transfer coefficient of water can be increased by 46.7% when the mass concentration of graphene nanofluids is 0.03% and the rib-to-rib ratio is 1:2. In order to better predict the convection heat transfer characteristics of graphene nanofluids in small rectangular channels of different sizes, the convection heat transfer equations applicable to graphene nanofluids of different concentrations in small rectangular channels with different channel rib ratios were fitted, based on factors such as flow Re number, graphene concentration, channel rib ratio, Pr number, and Pe number; the average relative error (MRE) was 8.2%. The mean relative error (MRE) was 8.2%. The equations can thus describe the heat transfer characteristics of graphene nanofluids in rectangular channels with different groove-to-rib ratios.
A Generic Approach towards Enhancing Utility and Privacy in Person-Specific Data Publishing Based on Attribute Usefulness and Uncertainty
Authors: Majeed Abdul , Hwang Seong Oun
Published: April 2023

This paper proposes a generic anonymization approach for person-specific data, which retains more information for data mining and analytical purposes while providing considerable privacy. The proposed approach takes into account the usefulness and uncertainty of attributes while anonymizing the data to significantly enhance data utility. We devised a method for determining the usefulness weight for each attribute item in a dataset, rather than manually deciding (or assuming based on domain knowledge) that a certain attribute might be more useful than another. We employed an information theory concept for measuring the uncertainty regarding sensitive attribute’s value in equivalence classes to prevent unnecessary generalization of data. A flexible generalization scheme that simultaneously considers both attribute usefulness and uncertainty is suggested to anonymize person-specific data. The proposed methodology involves six steps: primitive analysis of the dataset, such as analyzing attribute availability in the data, arranging the attributes into relevant categories, and sophisticated pre-processing, computing usefulness weights of attributes, ranking users based on similarities, computing uncertainty in sensitive attributes (SAs), and flexible data generalization. Our methodology offers the advantage of retaining higher truthfulness in data without losing guarantees of privacy. Experimental analysis on two real-life benchmark datasets with varying scales, and comparisons with prior state-of-the-art methods, demonstrate the potency of our anonymization approach. Specifically, our approach yielded better performance on three metrics, namely accuracy, information loss, and disclosure risk. The accuracy and information loss were improved by restraining heavier anonymization of data, and disclosure risk was improved by preserving higher uncertainty in the SA column. Lastly, our approach is generic and can be applied to any real-world person-specific tabular datasets encompassing both demographics and SAs of individuals.
Cross-Perspective Human Behavior Recognition Based on a Joint Sparse Representation and Distributed Adaptation Algorithm Combined with Wireless Optical Transmission
Authors: Yu Xiaomo , Long Long , Ou Yang , Zhou Xiaomeng
Published: April 2023

Traditional human behavior recognition needs many training samples. Signal transmission of images and videos via visible light in the body is crucial for detecting specific actions to accelerate behavioral recognition. Joint sparse representation techniques improve identification accuracy by utilizing multi-perspective information, while distributional adaptive techniques enhance robustness by adjusting feature distributions between different perspectives. Combining both techniques enhances recognition accuracy and robustness, enabling efficient behavior recognition in complex environments with multiple perspectives. In this paper, joint sparse representation has been combined with distributed adaptation algorithm to recognize human behavior under the fusion algorithm, and verify the feasibility of the fusion algorithm through experimental analysis. The research objective of this article is to explore the use of the combination of joint sparse representation technology and distributed adaptive technology in the recall and accuracy of human detection, combined with the cross perspective human behavior recognition of wireless optical transmission. The experimental results showed that in the process of human detection, the recall and precision of the fusion algorithm in this paper reached 92% and 90% respectively, which are slightly higher than the comparison algorithm. In the experiment of recognition accuracy of different actions, the recognition accuracy of the fusion algorithm in this paper was also higher than that of the control algorithm. It can be seen that the fusion of joint sparse representation and distributed adaptation algorithms, as well as wireless communication light technology, are of great significance for human behavior recognition.
An Optimized Implementation of Activation Instruction Based on RISC-V
Authors: Yu Hongjiang , Yuan Guoshun , Kong Dewei , Chen Chuhuai
Published: April 2023

Activation is an important component of the neural network, and the standard instructions of RISC-V are difficult to use to effectively handle the activation of the array. In this paper, we propose an optimized implementation of activation instruction based on RISC-V. Based on the opensource RISC-V processor Hummingbird E203, we designed a special instruction for the implementation of activation functions. A single instruction is chosen to implement the entire activation operation, including data loading, data arithmetic and data write-back. At the hardware level, we designed a method of alternate reading and writing that only needs a small hardware storage unit to meet the requirements of the activation operation for long arrays without affecting the activation efficiency. In addition, we added the length of the array as a new parameter to instruct our designed hardware to adapt to any length of arrays. Finally, the scheduling method of some instructions in the activation process was optimized in accordance with the law of instructions, which improves the execution efficiency of instructions. Considering an activation process with an array length of 15, our design demonstrates a 4.89-fold increase in speed compared to RISC-V standard instructions while consuming only 7.78% of the energy.
Local Pixel Attack Based on Sensitive Pixel Location for Remote Sensing Images
Authors: Liu Lu , Xu Zixuan , He Daqing , Yang Dequan , Guo Hongchen
Published: April 2023

As deep neural networks (DNNs) are widely used in the field of remote sensing image recognition, there is a model security issue that cannot be ignored. DNNs have been shown to be vulnerable to small perturbations in a large number of studies in the past, and this security risk naturally exists in remote sensing object detection models based on DNNs. The complexity of remote sensing object detection models makes it difficult to implement adversarial attacks on them, resulting in the current lack of systematic research on adversarial examples in the field of remote sensing image recognition. In order to better deal with the adversarial threats that remote sensing image recognition models may confront and to provide an effective means for evaluating the robustness of the models, this paper takes the adversarial examples for remote sensing image recognition as the research goal and systematically studies vanishing attacks against a remote sensing image object detection model. To solve the problem of difficult attack implementation on remote sensing image object detection, adversarial attack adaptation methods based on interpolation scaling and patch perturbation stacking are proposed in this paper, which realizes the adaptation of classical attack algorithms. We propose a hot restart perturbation update strategy and the joint attack of the first and second stages of the two-stage remote sensing object detection model is realized through the design of the attack loss function. For the problem of the modification cost of global pixel attack being too large, a local pixel attack algorithm based on sensitive pixel location is proposed in this paper. By searching the location of the sensitive pixels and constructing the mask of attack area, good local pixel attack effect is achieved. Experimental results show that the average pixel modification rate of the proposed attack method decreases to less than 4% and the vanishing rate can still be maintained above 80%, which effectively achieves the balance between attack effect and attack cost.
Heteroatom-Doped Carbon Supports with Enhanced Corrosion Resistance in Polymer Electrolyte Membrane Fuel Cells
Authors: Kozhushner Alisa , Li Qing , Elbaz Lior
Published: April 2023

Polymer Electrolyte Membrane Fuel Cells (PEMFC) are currently considered the most advanced fuel cell technology. However, the industrial implementation of PEMFCs is strongly hindered by deficient durability, especially that of the carbonaceous materials commonly used to support the platinum-based catalyst nanoparticles, which are prone to electrochemical corrosion at the cathode, resulting in a serious performance loss of the entire cell. In the attempt to overcome this issue, many research groups have tried to introduce heteroatoms (N, S, B, P) into the carbon lattice, thus trying to make the electrode corrosion-resistant. Newly developed heteroatom-doped carbons were subjected to corrosion tests in half-cell and single-cell systems to evaluate their stability. This paper reviews the recent studies devoted to corrosion research of heteroatom-doped carbon supports for Pt-based catalysts in PEMFCs. In particular, an overview on N, B, and S dopants and their effects on carbon corrosion is provided.
A Review of the Latest Trends in Technical and Economic Aspects of EV Charging Management
Authors: Alaee Pegah , Bems Julius , Anvari-Moghaddam Amjad
Published: April 2023

The transition from internal combustion engines to electric vehicles (EVs) has received significant attention and investment due to its potential in reducing greenhouse gas emissions. The integration of EVs into electric and transport systems presents both benefits and challenges in energy management. The scheduling of EV charging can alleviate congestion in the electric system and reduce waiting times for EV owners. The use of renewable energy sources (RESs) for EV charging and supporting the grid can help mitigate the uncertainty of these energy resources. Vehicle-to-grid (V2G) technology can be used as an alternative approach in the event of sudden high consumption of the grid. Additionally, cost minimization through large-scale coordinated planning is crucial for the future of e-mobility systems. This review paper focuses on the latest trends considering the various approaches and features in coordinated EV scheduling, as well as the influence of different stakeholders, categorized as single- and multiple-charging stations (CS) and aggregator levels. By implementing coordinated EV scheduling, various methods are presented to better manage the needs and satisfaction of EV owners as well as the profit of CS and the market trends of e-mobility systems. In this regard, EV charging strategies considering V2G, uncertainty evaluation of parameters, coordinated charging management, congestion of CSs and electrical lines, route mapping, and technical and economic aspects of the system hierarchy, including consumers, CSs and aggregators, are reviewed and discussed.
Elevator Technology Improvements: A Snapshot
Authors: Al-Kodmany Kheir
Published: April 2023

Efficient vertical transportation is vital to a skyscraper’s functional operation and the convenience and satisfaction of its tenants. This review complements the author’s previously published research by updating the readers on innovative hardware and software-based solutions. It lays out, organizes, and combines extensive and scattered material on numerous aspects of elevator design in a straightforward and non-technical narrative. Rope-less elevators, the MULTI, artificial intelligence (AI), the Internet of Things (IoT), and extended reality technologies are some of the developments and advancements this article examines. The analysis also contextualizes current technical developments by reviewing how they are used in significant projects such as the One World Trade Center in New York City. Lastly, the paper examines innovative technologies, such as holographic elevator buttons and ultraviolet rays that disinfect elevators, in response to the COVID-19 pandemic.
Incidence and Risk Factors of the COVID-19 Pandemic: An Epidemiological Approach
Authors: Arnedo-Pena Alberto , Guillen-Grima Francisco
Published: April 2023

After three years of the COVID-19 pandemic, it is certain that the SARS-CoV-2 virus has been a turning point for humanity in both developed and developing countries [...]
Dropping Fire Retardants by Helicopter and Its Application to Wildfire Prevention near Electrical Transmission Lines
Authors: Lu Jiazheng , Zhou Tejun , Wu Chuanping , Ou Yangyi
Published: April 2023

Dropping fire retardants by helicopter can effectively reduce the intensity of wildfires. This study proposes a test plan for spraying different fire retardants from a helicopter bucket fire extinguisher. In this study, pure water, 10% Class AB flame retardant, 0.3% gel flame retardant, 10% Class A flame retardant, and 10% Class A flame retardant + 0.6% guar gum were each added to the bucket fire extinguishing device and sprayed on 4-layer, 6-layer, and 12-layer wood cribs. The radiation intensity, mass loss, and temperature were used as indicators to compare the burning intensity of the fire field and the difference in fire field combustion intensity after the wood cribs were ignited 1 h after natural air drying. The results showed that flame retardancy could be ranked from high to low as follows: 10% Class A flame retardant + 0.6% guar gum > gel flame retardant > 10% Class A flame retardant > Class AB flame retardant > pure water. During the long-term high temperature and drought period in Hunan Province, China, from August to September 2022, a field application showed that dropping fire retardants by helicopter effectively reduced the intensity of wildfires and avoided transmission line trips due to the wildfire, which reduced the number of ground personnel required when fighting large-scale forest fires.
Application and Effect of Pediococcus pentosaceus and Lactiplantibacillus plantarum as Starter Cultures on Bacterial Communities and Volatile Flavor Compounds of Zhayu, a Chinese Traditional Fermented Fish Product
Authors: Xu Dongmei , Liu Yongle , Li Xianghong , Wang Faxiang , Huang Yiqun , Ma Xiayin
Published: April 2023

Zhayu is a type of traditional fermented fish product in China that is made through the fermentation of salted fish with a mixture of cereals and spices. Inoculation fermentation was performed using Pediococcus pentosaceus P1, Lactiplantibacillus plantarum L1, and a mixture of two strains, which were isolated from cured fish in Hunan Province. Compared with the natural fermentation, inoculation with lactic acid bacteria (LAB) accelerated the degradation of myosin and actin in Zhayu, increased the trichloroacetic acid (TCA)-soluble peptide content by about 1.3-fold, reduced the colony counts of Enterobacteriaceae and Staphylococcus aureus by about 40%, and inhibited their lipid oxidation. In the texture profile analysis performed, higher levels of hardness and chewiness were observed in the inoculation groups. In this study, the bacterial community and volatile flavor compounds were detected through 16S high-throughput sequencing and headspace solid-phase microextraction–gas chromatography–mass spectrometry (HS-SPME-GC-MS). Inoculation with L. plantarum L1 reduced around 75% abundance of Klebsiella compared with the natural fermentation group, which was positively correlated with 2,3-Butanediol, resulting in a less pungent alcohol odor in Zhayu products. The abundances of 2-pentylfuran and 2-butyl-3-methylpyrazine were increased over threefold in the L1 group, which may give Zhayu its unique flavor and aroma.
Operational Impacts of On-Demand Ride-Pooling Service Options in Birmingham, AL
Authors: Salman Furat , Sisiopiku Virginia P. , Khalil Jalal , Yang Wencui , Yan Da
Published: April 2023

Transportation Network Companies (TNCs) use online-enabled apps to provide on-demand transportation services. TNCs facilitate travelers to connect with drivers that can offer them rides for compensation using driver-owned vehicles. The ride requests can be for (a) individual or (b) shared rides. The latter, also known as ride-pooling services, accommodates requests of unrelated parties with origins and destinations along the same route who agree to share the same vehicle, usually at a discounted fare. Uber and Lyft offer ride-pooling services in select markets. Compared to individual ride requests, ride-pooling services hold better promise toward easing urban congestion by reducing the number of automobiles on the road. However, their impact on traffic operations is still not fully understood. Using Birmingham, AL as a case study, this research evaluated the impact that ride-pooling services have on traffic operations using a Multi-Agent Transport Simulation (MATSim) model of the Birmingham metro area. Scenarios were developed to simulate baseline conditions (no TNC service) and ride-pooling availability with two types of ride-pooling services, namely door-to-door (d2d) and stop-based (sB) service and three fleet sizes (200, 400, and 800 vehicles). The results indicate that when TNC vehicles are added to the network, the Vehicle Kilometers Traveled (VKT) decrease by up to 5.78% for the door-to-door (d2d) service, and up to 2.71% for stop-based (sB) services, as compared to the baseline scenario (no TNC service). The findings also suggest that an increase in the size of the ride-pooling fleet results in a rise in total ride-pooling service VKT, network-wide total VKT, and detour distance. However, increasing the size of the ride-pooling fleet also results in a decrease in the ride request rejection rates, thus benefiting the customers and decreasing the vehicle empty ratio which, in turn, benefits the TNC drivers. The results further suggest that a fleet of 200 ride-pooling vehicles can meet the current demand for service in the Birmingham region at all times, thus it is the optimal ride-pooling TNC fleet size for a medium-sized city such as Birmingham.
Genetic Population Flows of Southeast Spain Revealed by STR Analysis
Authors: Saiz María , Haarkötter Christian , Martinez-Gonzalez Luis Javier , Alvarez Juan Carlos , Lorente Jose Antonio
Published: April 2023

The former Kingdom of Granada, comprising the provinces of Granada, Málaga, and Almería (GMA), was once inhabited for over 700 years (711–1492 AD) by a North African population, which influenced its creation and establishment. The genetic data on 15 autosomal short tandem repeats (STRs) in 245 unrelated donor residents were examined in order to assess any possible admixture. As the two surnames in Spain follow an inheritance similar to the Y chromosome, both surnames of all 245 unrelated individuals were queried and annotated. The Spanish Statistics Office website was consulted to determine the regions with the highest frequency of individuals born bearing each surname. Further, several heraldry and lineage pages were examined to determine the historical origin of the surnames. By AMOVA and STRUCTURE analysis, the populations of the three provinces can be treated genetically as a single population. The analysis of allele frequencies and genetic distance demonstrated that the GMA population lay in the Spanish population group but was slightly more similar to the North African populations than the remainder of the Spanish populations. In addition, the surnames of most individuals originated in Northern and Central Spain, whereas most surnames had higher frequencies in Southern Spain. These results confirm that the GMA population shows no characteristics that reflect a greater genetic influence of North African people than the rest of the populations of the Iberian Peninsula. This feature is consistent with the historical data that African inhabitants were expelled or isolated during the repopulation of the region with Spaniards from Northern Spain. The knowledge of present populations and their genetic history is essential for better statistical results in kinship analyses.
Transcriptome Characterization and Gene Changes Induced by Fusarium solani in Sweetpotato Roots
Authors: Zhang Chengling , Luo Qinchuan , Tang Wei , Ma Jukui , Yang Dongjing , Chen Jingwei , Gao Fangyuan , Sun Houjun , Xie Yiping
Published: April 2023

Sweetpotato (Ipomoea batatas) is an important root crop that is infected by Fusarium solani in both seedling and root stages, causing irregular black or brown disease spots and root rot and canker. This study aims to use RNA sequencing technology to investigate the dynamic changes in root transcriptome profiles between control check and roots at 6 h, 24 h, 3 days, and 5 days post-inoculation (hpi/dpi) with F. solani. The results showed that the defense reaction of sweetpotato could be divided into an early step (6 and 24 hpi) without symptoms and a late step to respond to F. solani infection (3 and 5 dpi). The differentially expressed genes (DEGs) in response to F. solani infection were enriched in the cellular component, biological process, and molecular function, with more DEGs in the biological process and molecular function than in the cellular component. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that the main pathways were metabolic pathways, the biosynthesis of secondary metabolites, and carbon metabolism. More downregulated genes were identified than upregulated genes in the plant–pathogen interaction and transcription factors, which might be related to the degree of host resistance to F. solani. The findings of this study provide an important basis to further characterize the complex mechanisms of sweetpotato resistance against biotic stress and identify new candidate genes for increasing the resistance of sweetpotato.
Religiosity, Mental Health and Substance Use among Black and Hispanic Adults during the First Six Months of the COVID-19 Pandemic in New York City
Authors: Svob Connie , Lin Susan X. , Cheslack-Postava Keely , Bresnahan Michaeline , Goodwin Renee D. , Skokauskas Norbert , Musa George J. , Hankerson Sidney H. , Dreher Diane R. , Ryan Megan , Hsu Yi-Ju , Jonsson-Cohen Anna-Lena , Hoven Christina W.
Published: April 2023

The purpose of this study was to investigate the association between personal religiosity, mental health, and substance use outcomes among Black and Hispanic adults during the first six months of the COVID-19 outbreak in New York City (NYC). Phone interviews were conducted with 441 adults to obtain information on all variables. Participants self-reported race/ethnicity as Black/African American (n = 108) or Hispanic (n = 333). Logistic regression were used to examine associations between religiosity, mental health, and substance use. There was a significant inverse association of religiosity and substance use. Religious people had a lower prevalence of drinking alcohol (49.0%) compared to non-religious people (67.1%). Religious people also had substantially lower prevalence of cannabis or other drug use (9.1%) in comparison to non-religious people (31%). After adjusting for age, sex, race/ethnicity, and household income, the association of religiosity with alcohol use and with cannabis/other drug use remained statistically significant. Despite restricted access to in-person religious activities and congregational supports, the findings suggest that religiosity itself may be helpful from a public health perspective, independent of serving as a conduit for other social services.