Miracle-dz/UniFAR-FTUs huggingface dataset:
Do Traffic Light Labels Influence Food Purchase Intentions? The Moderating Effect of Health Risk Perception

ABSTRACT Most extant nutrition labeling studies examine how different nutrition labels affect consumers’ purchase intentions or how nutrition knowledge influences shoppers’ final decisions. However, most scholars have ignored that the channel of risk attitudes toward a food product may indirectly affect shoppers’ purchase intentions as a result of the health risk perception arising at the time of seeing nutrition labels. We empirically compare the effect of the Traffic Light (TL) label with the icon-only nutrition label on participants’ attitudes and health risk perceptions linked to their purchase intentions regarding a pizza product. The findings from the online experiment show that the TL label has a more significant effect on purchase intention than the icon-only nutrition label. However, this effect is different based on consumers’ health risks perception. Consumers with low health risk perception were more likely to purchase pizza, but those with high health risk perception decrease their purchases.
Sensitivity Testing of Extratropical Transitions Using Potential Vorticity Inversions to Modify Initial Conditions: Hurricane Earl Case Study

Abstract This study uses the Mesoscale Compressible Community model to simulate the extratropical transition and reintensification of Hurricane Earl (1998) for the purposes of testing sensitivity to modification of the model's initial conditions. Though relatively strong “classical” cyclogenetic forcings were present in this case, operational forecasts seriously underpredicted the severity of the reintensification. Employing a piecewise potential vorticity (PV) inversion, the authors remove localized PV anomaly (PV′) maxima from the initial conditions and rebalance the fields for input to the model. Several PV′ structures in an upstream trough, and the PV′ associated with the hurricane, are removed individually and the model is rerun. Comparison of the resulting output with that of the control integration allows for a quantification of the impact of each PV anomaly on the regeneration of Earl. It is found that the existence of an upstream trough is of primary importance to the storm's reintensification, w.
Gene Expression Changes in Cytokine and Chemokine Receptors in Association with Melanoma Liver Metastasis

Cytokines and chemokines (chemotactic cytokines) are soluble extracellular proteins that bind to specific receptors and play an integral role in the cell-to-cell signaling network. In addition, they can promote the homing of cancer cells into different organs. We investigated the potential relationship between human hepatic sinusoidal endothelial cells (HHSECs) and several melanoma cell lines for the expression of chemokine and cytokine ligands and receptor expression during the invasion of melanoma cells. In order to identify differences in gene expression related to invasion, we selected invasive and non-invasive subpopulations of cells after co-culturing with HHSECs and identified the gene expression patterns of 88 chemokine/cytokine receptors in all cell lines. Cell lines with stable invasiveness and cell lines with increased invasiveness displayed distinct profiles of receptor genes. Cell lines with increased invasive capacity after culturing with conditioned medium showed a set of receptor genes (CXCR1, IL1RL1, IL1RN, IL3RA, IL8RA, IL11RA, IL15RA, IL17RC, and IL17RD) with significantly different expressions. It is very important to emphasize that we detected significantly higher IL11RA gene expression in primary melanoma tissues with liver metastasis as well, compared to those without metastasis. In addition, we assessed protein expression in endothelial cells before and after co-culturing them with melanoma cell lines by applying chemokine and cytokine proteome arrays. This analysis revealed 15 differentially expressed proteins (including CD31, VCAM-1, ANGPT2, CXCL8, and CCL20) in the hepatic endothelial cells after co-culture with melanoma cells. Our results clearly indicate the interaction between liver endothelial and melanoma cells. Furthermore, we assume that overexpression of the IL11RA gene may play a key role in organ-specific metastasis of primary melanoma cells to the liver.
Discontinuous fluid motion past circular and elliptic cylinders

1. The problem of discontinuous fluid motion past a curved barrier has become one of the classical problems of mechanics. For plane barriers the Schwartz-Christoffel transformation offers a direct method of solution; in the case of curved barriers no direct method of solution has been found. “A quicker start . can be made . by the simpler process of writing down a likely expression . and then investigating the streaming motion implied and the shape of the boundary. ” In the present paper the procedure is essentially in pursuance of Greenhill’s advice, with the important modification that an attempt is made to solve problems that have a bearing on practical applications. Although many types of barriers have been suggested by various writers, very little in the way of actual numerical calculation has been done. Apparently, the only case worked out in detail is that by Brillouin, and this case is somewhat artificial and of little use. Such barriers as the circular and elliptic cylinders—important for the aerodynamics of struts—have not been attempted at all, while application to a barrier like a modern aeroplane wing seems very remote indeed.
The Concept of “Hypersexuality” in the Boundary between Physiological and Pathological Sexuality

Introduction: The concept of hypersexuality belongs to modern parlance, according to a predominantly clinical meaning, and is understood as a psychological and behavioural alteration as a result of which sexually motivated stimuli are sought in inappropriate ways and often experienced in a way that is not completely satisfactory. Methods: Literature up to February 2023 was reviewed, with 25 searches selected. Results: Forty-two articles were included in the review. Conclusion: Hypersexuality is a potentially clinically relevant condition consisting of one or more dysfunctional and pathological behaviours of one’s sexual sphere and graded according to the severity of impairment of subjective acting out; for this reason, the Perrotta Hypersexuality Global Spectrum of Gradation (PH-GSS) is suggested, which distinguishes high-functioning forms (pro-active and dynamic hypersexuality) from those of attenuated and corrupted functioning (dysfunctional and pathological hypersexuality of grades I and II). Future research is hoped to address the practical needs of this condition, such as the exact etiopathology, the role of oxytocin in dopaminergic hypotheses (and its ability to attenuate the symptomatology suffered by the patient in terms of manic drive), the best structural and functional personality framing of the subject, and the appropriate therapy to pursue.
Social Isolation and Online Relationship-Risk Encounters among Adolescents with Special Educational Needs

While all vulnerable adolescents are more at risk online than their non-vulnerable peers, those with special educational needs (SEN) require targeted and specialised support. Although they are not a homogenous group, SEN adolescents commonly experience social isolation and a lack of connection or meaningful relationships with peers in their offline lives. Many perceive the internet as a route to alternative means of communicating and interacting with others. Accessibility tools enable autonomous access to the online world, which offers support groups, new friends, entertainment, and connections. This can lead to both potential online relationship-risk encounters and positive experiences. With the attraction of online environments comes the need for digital skills and awarness of possible online risks, yet for adolescents with SEN, their difficulties dictate a need for more than rules, controls, and digital skills. In this study, 4894 adolescents aged 13 to 17, of whom 1207 had SEN, completed the Cybersurvey 2019, an online questionnaire about their digital life. Adolescents were asked about the benefits of using the internet, their online safety support, offline social support, and any online relationship-risk encounters. All participants were recruited through their schools. Descriptive statistics and multiple analysis of variance tests showed that, compared with their peers, adolescents with SEN experienced significantly more social isolation and less parental online safety support. They were also more likely to use the internet for positive purposes, such as socialising and coping. Overall, adolescents with SEN encountered more online relationship risks than their non-SEN peers, with older teens more likely to encounter such risks than younger peers, regardless of their SEN status. Multiple analysis of variance tests also identified that boys perceive internet use as positive to a greater extent than girls, suggesting a gender difference in experiences of the digital environment. A multiple linear hierarchical regression revealed that SEN status, age, social isolation, poor parental online safety support, and greater perceived positive internet use, all significantly predicted online relationship-risk encounters. This article discusses important implications and recommendations for policy and practice related to SEN and online safety and highlights areas for future research to consider.
Heat capacity measurements of sub-nanoliter volumes of liquids using bimaterial microchannel cantilevers

Lab-on-a-Chip compatible techniques for thermal characterization of miniaturized volumes of liquid analytes are necessary in applications such as protein blotting, DNA melting, and drug development, where samples are either rare or volume-limited. We developed a closed-chamber calorimeter based on a bimaterial microchannel cantilever (BMC) for sub-nanoliter level thermal analysis. When the liquid-filled BMC is irradiated with infrared (IR) light at a specific wavelength, the IR absorption by the liquid analyte results in localized heat generation and the subsequent deflection of the BMC, due to a thermal expansion mismatch between the constituent materials. The time constant of the deflection, which is dependent upon the heat capacity of the liquid analyte, can be directly measured by recording the time-dependent bending of the BMC. We have used the BMC to quantitatively measure the heat capacity of five volatile organic compounds. With a deflection noise level of ∼10 nm and a signal-to-noise ratio of 68:1, the BMC offers a sensitivity of 30.5 ms/(J g−1 K−1) and a resolution of 23 mJ/(g K) for ∼150 pl liquid for heat capacity measurements. This technique can be used for small-scale thermal characterization of different chemical and biological samples.
Cobalt (II) oxide and nickel (II) oxide alloys as potential intermediate-band semiconductors: A theoretical study

Solar cells based on single pn junctions, employing single-gap semiconductors can ideally achieve efficiencies as high as 34%. Developing solar cells based on intermediate-band semiconductors (IBSCs), which can absorb light across multiple band gaps, is a possible way to defy this theoretical limit and achieve efficiencies as high as 60%. Here, we use first principles quantum mechanics methods and introduce CoO and Co0.25Ni0. 75O as possible IBSCs. We show that the conduction band in both of these materials is divided into two distinct bands separated by a band gap. We further show that the lower conduction band (i.e., the intermediate band) is wider in Co0.25Ni0. 75O compared with CoO. This should enhance light absorption from the valence band edge to the intermediate band, making Co0.25Ni0. 75O more appropriate for use as an IBSC. Our findings provide the basis for future attempts to partially populate the intermediate band and to reduce the lower band gap in Co0.25Ni0. 75O in order to enhance the potential of this material for use in IBSC solar cell technologies. Furthermore, with proper identification of heterojunctions and dopants, CoO and Co0.25Ni0. 75O could be used in multi-color light emitting diode and laser technologies.
Additive Manufacturing and Physicomechanical Characteristics of PEGDA Hydrogels: Recent Advances and Perspective for Tissue Engineering

In this brief review, we discuss the recent advancements in using poly(ethylene glycol) diacrylate (PEGDA) hydrogels for tissue engineering applications. PEGDA hydrogels are highly attractive in biomedical and biotechnology fields due to their soft and hydrated properties that can replicate living tissues. These hydrogels can be manipulated using light, heat, and cross-linkers to achieve desirable functionalities. Unlike previous reviews that focused solely on material design and fabrication of bioactive hydrogels and their cell viability and interactions with the extracellular matrix (ECM), we compare the traditional bulk photo-crosslinking method with the latest three-dimensional (3D) printing of PEGDA hydrogels. We present detailed evidence combining the physical, chemical, bulk, and localized mechanical characteristics, including their composition, fabrication methods, experimental conditions, and reported mechanical properties of bulk and 3D printed PEGDA hydrogels. Furthermore, we highlight the current state of biomedical applications of 3D PEGDA hydrogels in tissue engineering and organ-on-chip devices over the last 20 years. Finally, we delve into the current obstacles and future possibilities in the field of engineering 3D layer-by-layer (LbL) PEGDA hydrogels for tissue engineering and organ-on-chip devices.
Hybrid intelligent intrusion detection system for multiple Wi‐Fi attacks in wireless networks using stacked restricted Boltzmann machine and deep belief networks

The recent cutting edge mobile and internet advancements have increased Internet of Things based gadgets more pervasive and cohesive into our day to day lives. There emerges a need to beat the security challenges, prevalently came about because of the uncovered idea of a remote medium, for example a Wi‐Fi network setup. The linked gadgets are ubiquitous, creating high‐dimensional information on an expansive scale. It tends to be seen those illegitimate actions like illegal information access, information stealing, information alteration different other interruption exercises are quickly developing during a decade ago. Wireless network data transfers will be anticipated to surge strongly in the coming years. Feature learning, still, can evade the probable complications, possibly formed by means of large wireless network dimensions. Therefore, the proposed system focuses on developing a Hybrid Intelligent Intrusion Detection System (IDS) for detecting multiple assaults such as Impersonation, Injection, flooding along with other unknown malicious Wi‐Fi attacks using Deep Learning and Machine Learning algorithms. The proposed system is investigated on well referenced Aegean Wi‐Fi Intrusion Dataset (AWID) and the experimental results prove that the utility of deep learning algorithms in feature representation and classification has achieved higher detection accuracy along with lower false alarm rate. To get an optimum feature set and perform dimensionality reduction on Wi‐Fi network data, the proposed framework uses Deep Belief Network (DBN) with stacked layers of Restricted Boltzmann Machine (RBM). In order to identify and categories various Wi‐Fi threats, Deep Neural Networks, and algorithms like SVM, MLKNN, and RAkEL are employed. The anticipated DBN model was given an optimization strategy to enhance classification performance. The optimization strategy involved selecting the best possible feature subset using a feature selection technique, optimizing the DBN model using the best possible hyperparameter values, less reconstruction error values, and utilizing the regularization method to account for weight decay. The experimental findings demonstrate that the use of deep learning algorithms in feature representation and classification has produced improved detection accuracy coupled with a decreased false alarm rate when applied to the proposed hybrid scheme based Intelligent IDS using the well‐referenced AWID dataset.
Impulsive Delay Reaction-Diffusion Cohen-Grossberg Neural Networks with Zero Dirichlet Boundary Conditions

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Factors Associated with Atopic Dermatitis among Children Aged 6 to 14 Years in Alimosho Local Government, Lagos, Nigeria

There has been a rise in the prevalence of atopic dermatitis (AD) globally, especially in low-and middle-income countries such as Nigeria. The condition has been linked to genetic predisposes, living conditions, and environmental factors. Environmental factors are considered a significant contributor to AD in low- and middle-income countries. This study determined the prevalence of AD in south-western Nigeria and identified risk factors in home and school environments that children aged 6 to 14 years are exposed to. A cross-sectional study was adopted, and the total sample size was 349. Four randomly selected health facilities were used for the study. A questionnaire was used to determine the risk factors in the population. Data analysis was performed using the latest version of Statistical Package for Social Science (SPSS). The prevalence of atopic dermatitis in this study is 25%. Atopic dermatitis was found to be common in females (27%). According to the univariate analysis, children who lived where trucks pass on the street almost daily had the highest cases of atopic dermatitis (28%). Children with rugs in their houses (26%) and those whose houses are surrounded by bushes (26%) had higher cases of atopic dermatitis. Children who played on school grass (26%), attended creche with rubber toys (28%), and attended school where wooden chairs (28%) and chalkboards (27%) are used had a higher number of AD. Bivariate analysis showed an association between AD with a mother’s monthly income (p = 0.012) and eating potatoes (p = 0.005), fruits (p = 0.040), and cereal (p = 0.057). In the multivariate analysis, the consumption of fruits (p = 0.02), potatoes (p < 0.001), and cereal (p = 0.04) were identified as risk factors associated with AD. It is envisaged that the study will serve as a basis for possible research on evidence-based and primary prevention options. Hence, we recommend health education activities to empower communities to protect themselves against environmental risk factors that are preventable.
Whole-Genome Sequencing Revealed the Fusion Plasmids Capable of Transmission and Acquisition of Both Antimicrobial Resistance and Hypervirulence Determinants in Multidrug-Resistant Klebsiella pneumoniae Isolates

Klebsiella pneumoniae, a member of the Enterobacteriaceae family, has become a dangerous pathogen accountable for a large fraction of the various infectious diseases in both clinical and community settings. In general, the K. pneumoniae population has been divided into the so-called classical (cKp) and hypervirulent (hvKp) lineages. The former, usually developing in hospitals, can rapidly acquire resistance to a wide spectrum of antimicrobial drugs, while the latter is associated with more aggressive but less resistant infections, mostly in healthy humans. However, a growing number of reports in the last decade have confirmed the convergence of these two distinct lineages into superpathogen clones possessing the properties of both, and thus imposing a significant threat to public health worldwide. This process is associated with horizontal gene transfer, in which plasmid conjugation plays a very important role. Therefore, the investigation of plasmid structures and the ways plasmids spread within and between bacterial species will provide benefits in developing prevention measures against these powerful pathogens. In this work, we investigated clinical multidrug-resistant K. pneumoniae isolates using long- and short-read whole-genome sequencing, which allowed us to reveal fusion IncHI1B/IncFIB plasmids in ST512 isolates capable of simultaneously carrying hypervirulence (iucABCD, iutA, prmpA, peg-344) and resistance determinants (armA, blaNDM-1 and others), and to obtain insights into their formation and transmission mechanisms. Comprehensive phenotypic, genotypic and phylogenetic analysis of the isolates, as well as of their plasmid repertoire, was performed. The data obtained will facilitate epidemiological surveillance of high-risk K. pneumoniae clones and the development of prevention strategies against them.
The Impact of Ocean Surface Fluxes on a TOGA COARE Convective System

Abstract A two-dimensional cloud-resolving model is linked with a TOGA COARE flux algorithm to examine the impact of the ocean surface fluxes on the development of a tropical squall line and its associated precipitation processes. The model results show that the 12-h total surface rainfall amount in the run excluding the surface fluxes is about 80% of that for the run including surface fluxes (domain-averaged rainfall, 3.4 mm). The model results also indicate that latent heat flux or evaporation from the ocean is the most influential factor among the three fluxes (latent heat, sensible heat, and momentum) for the development of the squall system. The average latent and sensible heat fluxes in the convective (disturbed) region are 60 and 11 W m−2 larger, respectively, than those of the nonconvective (clear) region due to the gust wind speed, a cool pool near the surface, and drier air from downdrafts associated with the convective activity. These results are in good agreement with observations. In addition.
Bootstrapping of Corneal Optical Coherence Tomography Data to Investigate Conic Fit Robustness

Background: Fitting of parametric model surfaces to corneal tomographic measurement data is required in order to extract characteristic surface parameters. The purpose of this study was to develop a method for evaluating the uncertainties in characteristic surface parameters using bootstrap techniques. Methods: We included 1684 measurements from a cataractous population performed with the tomographer Casia2. Both conoid and biconic surface models were fitted to the height data. The normalised fit error (height—reconstruction) was bootstrapped 100 times and added to the reconstructed height, extracting characteristic surface parameters (radii and asphericity for both cardinal meridians and axis of the flat meridian) for each bootstrap. The width of the 90% confidence interval of the 100 bootstraps was taken as uncertainty and quoted as a measure of the robustness of the surface fit. Results: As derived from bootstrapping, the mean uncertainty for the radii of curvature was 3 µm/7 µm for the conoid and 2.5 µm/3 µm for the biconic model for the corneal front/back surface, respectively. The corresponding uncertainties for the asphericity were 0.008/0.014 for the conoid and 0.001/0.001 for the biconic. The respective mean root mean squared fit error was systematically lower for the corneal front surface as compared to the back surface (1.4 µm/2.4 µm for the conoid and 1.4 µm/2.6 µm for the biconic). Conclusion: Bootstrapping techniques can be applied to extract uncertainties of characteristic model parameters and yield an estimate for robustness as an alternative to evaluating repeat measurements. Further studies are required to investigate whether bootstrap uncertainties accurately reproduce those from repeat measurement analysis.