bluuebunny/crossref_metadata_2025 huggingface dataset:
“You’re a Mature Student and You’re a Tiny, Tiny Little Fish in a Big Massive Pond of Students”: A Thematic Analysis Investigating the Institutional Support Needs of Partnered Mature Students in Postsecondary Study
Authors: van Rhijn Tricia , Osborne Caitlyn , Gores Deborah , Keresturi Amiah , Neustifter Ruth , Muise Amy , Fritz Victoria
Published: October 2023

Mature students in postsecondary education—those over 25 years of age, also known as nontraditional students or adult learners—make up a significant minority population on Canadian postsecondary campuses. Despite academic performance that tends to be higher than that of traditional students, the retention of mature students is lower due to the stressors they face in their home and school roles. This paper examines the insights of mature students and their intimate partners on how higher education institutions can provide better supports to make postsecondary programs and campuses more accessible to adult learners and enable their success. A sample of 25 mature postsecondary students enrolled in Canadian higher education institutions and their partners participated in dyadic interviews that explored the connections between their relationship and school experiences. A data-driven, inductive thematic analysis of the transcribed interviews found three themes that focused on the institutional support needs of partnered mature students, highlighting the need to (1) increase institutional knowledge and awareness of mature students’ needs, (2) offer flexible study options to complete courses and program requirements, and (3) provide relevant supports and programs. Mature students felt marginalized at their institutions related to the programs, instructors, staff, resources, and supports that are strongly focused on traditional-aged and circumstanced students. Recommendations are provided for higher education institutions to provide resources and supports that meet mature students’ unique needs to both access and be successful in their pursuit of postsecondary education.
What Characterizes Education in Women’s Universities in Japan? An Analysis of Diploma Policies
Authors: Sugino Chie
Published: October 2023

Women’s universities were established in post-war Japan to fill the gender gap in higher education. Although they attract fewer students today than in the past, they account for nearly 10% of all universities nationwide. This study focuses on the diploma policies (DPs) that all universities in Japan are required to publish and explores the characteristics of education at women’s universities by comparing the DPs of 22 women’s and 59 co-educational universities. The DP content was analyzed using a cross-tabulation search engine employing text-mining. The results indicate that the DPs of women’s universities highlight their priority to foster economically sustained women, which reflects their founding purpose of empowering women. Although both women’s and co-educational universities emphasize their relationship with society, the latter seem to view society as something their graduates can create and develop, while the former regards it as given or changing. Moreover, women’s universities appear to emphasize that their graduates play an active but not a leading role in society. This could be an indication of gender inequality in the social, economic, and political realms of Japan. Considering Japanese society is becoming globalized and diverse, future research should focus on how global values and competencies manifest themselves in DPs.
Blind Source Separation with Strength Pareto Evolutionary Algorithm 2 (SPEA2) Using Discrete Wavelet Transform
Authors: Celik Husamettin , Karaboga Nurhan
Published: October 2023

This paper presents a new method for separating the mixed audio signals of simultaneous speakers using Blind Source Separation (BSS). The separation of mixed signals is an important issue today. In order to obtain more efficient and superior source estimation performance, a new algorithm that solves the BSS problem with Multi-Objective Optimization (MOO) methods was developed in this study. In this direction, we tested the application of two methods. Firstly, the Discrete Wavelet Transform (DWT) was used to eliminate the limited aspects of the traditional methods used in BSS and the small coefficients in the signals. Afterwards, the BSS process was optimized with the multi-purpose Strength Pareto Evolutionary Algorithm 2 (SPEA2). Secondly, the Minkowski distance method was proposed for distance measurement by using density information in the discrimination of individuals with raw fitness values for the concept of Pareto dominance. With this proposed method, the originals (original source signals) were estimated by separating the randomly mixed male and two female speech signals. Simulation and experimental results proved that the efficiency and performance of the proposed method can effectively solve BSS problems. In addition, the Pareto front approximation performance of this method also confirmed that it is superior in the Inverted Generational Distance (IGD) indicator.
Design and Analysis of the Model Based Control System for an MRE Axisymmetric Actuator
Authors: Czopek Paweł , Bernat Jakub
Published: October 2023

The magnetorheological elastomer membrane is an interesting kind of smart material that is gaining new innovative applications. This work is focused on the design of the control system for magnetorheological elastomer actuators. In general, the plant is characterized by fast oscillations and slow drift. Therefore, controllers utilize the described features to obtain the solution aimed at, which makes them unique. We analyze two approaches based on output feedback with state estimation. The control algorithms have different observers to estimate the state. The first is a Linear Extended State Observer, which is applied to reject the disturbances in a case with a simple model. The second is a Linear State Observer, which is used to estimate a state based on the plant model. Furthermore, in both cases, we have the same proportional-derivative controller after decoupling the dynamics. The main goal of the paper is to examine both controllers for the magnetorheological actuator. Therefore, the designed control systems are verified in a series of experiments.
DRL-Based Hybrid Task Offloading and Resource Allocation in Vehicular Networks
Authors: Liu Ziang , Jia Zongpu , Pang Xiaoyan
Published: October 2023

With the explosion of delay-sensitive and computation-intensive vehicular applications, traditional cloud computing has encountered enormous challenges. Vehicular edge computing, as an emerging computing paradigm, has provided powerful support for vehicular networks. However, vehicle mobility and time-varying characteristics of communication channels have further complicated the design and implementation of vehicular network systems, leading to increased delays and energy consumption. To address this problem, this article proposes a hybrid task offloading algorithm that combines deep reinforcement learning with convex optimization algorithms to improve the performance of the algorithm. The vehicle’s mobility and common signal-blocking problems in the vehicular edge computing environment are taken into account; to minimize system overhead, firstly, the twin delayed deep deterministic policy gradient algorithm (TD3) is used for offloading decision-making, with a normalized state space as the input to improve convergence efficiency. Then, the Lagrange multiplier method allocates server bandwidth to multiple users. The simulation results demonstrate that the proposed algorithm surpasses other solutions in terms of delay and energy consumption.
Slip Risk Prediction Using Intelligent Insoles and a Slip Simulator
Authors: Xu Shuo , Khan Md , Khaleghian Meysam , Emami Anahita
Published: October 2023

Slip and fall accidents are the leading cause of injuries for all ages, and for fatal injuries in adults over 65 years. Various factors, such as floor surface conditions and contaminants, shoe tread patterns, and gait behavior, affect the slip risk. Moreover, the friction between the shoe outsoles and the floor continuously changes as their surfaces undergo normal wear over time. However, continuous assessment of slip resistance is very challenging with conventional measurement techniques. This study addresses this challenge by introducing a novel approach that combines sensor fusion technology and machine learning techniques to create intelligent insoles designed for fall risk prediction. In addition, a state-of-the-art slip simulator, capable of mimicking the foot’s motion during a slip, was developed and utilized for the assessment of slipperiness between various shoes and floor surfaces. Data acquisition involved the collection of pressure data and three-axial accelerations using instrumented shoe insoles, complemented by friction coefficient measurements via the slip simulator. The collected dataset includes four types of shoes, three floor surfaces, and four surface conditions, including dry, wet, soapy, and oily. After preprocessing of the collected dataset, the simulator was used to train five different machine learning algorithms for slip risk classification. The trained algorithms provided promising results for slip risk prediction for different conditions, offering the potential to be employed in real-time slip risk prediction and safety enhancement.
A Novel Hybrid Power-Grid Investment Optimization Model with Collaborative Consideration of Risk and Benefit
Authors: Gao Changzheng , Wang Xiuna , Li Dongwei , Han Chao , You Weiyang , Zhao Yihang
Published: October 2023

Power-grid investment (PGI) optimization is crucial for boosting investment performance, lowering investment risks, and assuring the sustainable development of power-grid businesses. However, existing studies, which primarily concentrate on financial aspects, have not adequately considered the risk and benefit factors in the process of PGI. In this context, this research suggests a novel hybrid PGI optimization model that collaboratively accounts for the risks and benefits. In the first step, risk and benefit indicator systems for PGI are built, and a comprehensive evaluation model based on the Bayesian best–worst method and TOPSIS is suggested. In the second stage, a PGI optimization model considering the investment amount, power demand, and low-carbon restrictions is further developed based on the evaluation results. Furthermore, the incomprehensible but intelligible-in-time logic algorithm is adopted to solve the problem. By conducting an empirical analysis of ten projects within a power-grid company, the optimal investment plan and a differentiated investment portfolio strategy are obtained by adjusting the key elements.
Review of Concepts and Determinants of Grid Electricity Reliability
Authors: Migisha Adella Grace , Ntayi Joseph M. , Buyinza Faisal , Senyonga Livingstone , Abaliwano Joyce , Adaramola Muyiwa S.
Published: October 2023

The reliability of the electricity supply is important since any interruption to the supply has direct and indirect consequences for its users. A reliable electricity supply requires a reliable electrical grid system to transmit and distribute the power from the generating plants to the consumers. This study reviewed the literature to find out how the reliability concept has been understood with a special focus on grid electricity reliability, what factors influence grid electricity reliability, what measures have been used to measure grid electricity reliability, which theories and methodologies have been applied to study grid electricity reliability and what are the likely research gaps that require future address. This review found that the literature documents four categories of factors that influence grid electricity reliability, and these are environmental, security, organizational and technical. The biggest influencers of grid electricity reliability were the technical-related factors followed by the environmental-related factors. In addition, we found that sixty studies focused on one subsystem, eleven on two subsystems while seven studies considered three subsystems. Most studies were found to address the distribution of subsystem reliability. As per the methodology adopted, this review found that eleven studies used a qualitative approach, forty-five studies used a quantitative approach, while eleven studies used a case study approach to study the concept of grid electricity reliability. In addition, we found that thirty-seven studies used the duration and frequency of power outages to measure grid electricity reliability.
Simulated Impact of Shortened Strings in Commercial and Utility-Scale Photovoltaic Arrays
Authors: Smith Ryan M. , Matam Manjunath , Seigneur Hubert
Published: October 2023

The deliberate removal of photovoltaic modules from a string can occur for various reasons encompassing maintenance, measurements, theft, or failure, reducing that string length relative to others when replacement modules are not available and there are not any viable alternative makes and models that could be inserted. This phenomenon, delineated in our prior experimentally validated research, manifests two significant effects: (1) a shift in the ideal maximum power point and (2) the induction of potentially substantial reverse currents in the shortened strings at open-circuit voltage, VOC. However, the scalability and asymptotic limits of these observed behaviors concerning array size remained undetermined. In this study, we elucidate the operational dynamics of such arrays by manipulating two mismatch-contributing variables in simulated arrays of up to 900 strings: the number of removed modules per string (indicative of the level of mismatch, ranging up to 5) and the quantity of shortened strings (1 to 60). Simulation outcomes underscore that mismatch severity impacts array operation more than the proportion of shortened strings. This research delves into the practical ramifications of operating with shortened strings, including implications for low-irradiance operation and the manifestation of deleterious reverse currents (>35 A in specific cases), emphasizing the need for careful array configuration for optimal performance and safety in these implementations.
Increasing Safety in an Underground Coal Mine through Degasification by Vertical Wells—Influence of the Relationship between the Permeability of Carbon and the Filter Cake of the Bentonite Suspension
Authors: Torno Susana , Toraño Javier
Published: October 2023

The Hullera Vasco Leonesa (HVL) underground coal mine in northern Spain is subject to violent methane (CH4) outbursts. Vertical wells are used to extract CH4 from coal layers to improve mine safety. Bentonite suspensions are used as drilling fluids in this degasification system. The relationship between the soil and filter cake permeabilities, the filter cake thickness, and the filtrate loss significantly affects the fluid’s rheological properties. Fann mud balance, marsh funnel viscometer, and Fann 300 press filter tests have been carried out to determine the rheological properties of the bentonite suspension. A drilling fluid study was carried out for three drilling zones (across which the rheological properties of the drilling fluid vary for the reasons mentioned above): Zone 1, the lower zone, wherein drilling cuts through the coalbed; Zone 2, the upper zone, wherein drilling cuts through layers of sand; and Zone 3, an intermediate zone consisting mainly of rock. When drilling cuts through the coalbed, the release of methane, which improves the safety of underground operations, depends on the relationship between the permeability of the coal and the permeability of the filter cake of the drilling fluid. The effect of sand contamination increases the filtrate loss, and therefore also increases the permeability of the filter cake. The filtrate reducer decreases filtrate loss by recovering the permeability.
The Diagnosis of Shunt Defects in CIGS Modules Using Lock-In Thermography: An Empirical Comparative Study
Authors: Lee Seung Hoon , Lee Hae-Seok , Kim Donghwan , Kang Yoonmook
Published: October 2023

Shunt defects are often detected in solar panels intended for photovoltaic applications. However, existing nondestructive detection technologies have certain inherent drawbacks depending on the application scenario. In this context, this paper reports a comprehensive empirical investigation into lock-in thermography (LIT) and its applicability to diagnosing shunt defects in copper indium gallium selenide (CIGS) solar modules. LIT was compared with biased thermography, and its distinctive attributes were elucidated. The comparison results demonstrate the superior capabilities of LIT at enhancing the signal-to-noise ratio, improving the visibility, resolution, and quantification of defects, and highlighting the usefulness of LIT for advanced defect analysis. We explored scenarios in which biased thermography could be appropriate despite its inherent limitations and identified conditions under which it might be preferred. The complex thermal behavior of different types of defects under various voltage conditions was analyzed, contributing to a more nuanced understanding of their behavior. Thus, integrating experimental results and theoretical understanding, we provide valuable insights and scientific guidelines for photovoltaic research. Our findings could help enhance the efficiency of defect detection in CIGS modules, highlighting the critical role of optimized thermographic techniques in developing photovoltaic technologies.
Multiple-Relaxation-Time Lattice Boltzmann Simulation of Soret and Dufour Effects on the Thermosolutal Natural Convection of a Nanofluid in a U-Shaped Porous Enclosure
Authors: Islam Md. Mahadul , Hasan Md Farhad , Molla Md. Mamun
Published: October 2023

This article reports an investigation of the Soret and Dufour effects on the double-diffusive natural convection of Al2O3-H2O nanofluids in a U-shaped porous enclosure. Numerical problems were resolved using the multiple-relaxation-time (MRT) lattice Boltzmann method (LBM). The indented part of the U-shape was cold, and the right and left walls were heated, while the bottom and upper walls were adiabatic. The experimental data-based temperature and nanoparticle size-dependent correlations for the Al2O3-water nanofluids are used here. The benchmark results thoroughly validate the graphics process unit (GPU) based in-house compute unified device architecture (CUDA) C/C++ code. Numeral simulations were performed for a variety of dimensionless variables, including the Rayleigh number, (Ra = 104,105,106), the Darcy number, (Da = 10−2,10−3,10−4), the Soret number, (Sr = 0.0,0.1,0.2), the Dufour number, (Df = 0.0,0.1,0.2), the buoyancy ratio, (−2≤Br≤2), the Lewis number, (Le = 1,3,5), the volume fraction, (0≤ϕ≤0.04), and the porosity, ϵ = (0.2−0.8), and the Prandtl number, Pr = 6.2 (water) is fixed to represent the base fluid. The numerical results are presented in terms of streamlines, isotherms, isoconcentrations, temperature, velocity, mean Nusselt number, mean Sherwood number, entropy generation, and statistical analysis using a response surface methodology (RSM). The investigation found that fluid mobility was enhanced as the Ra number and buoyancy force increased. The isoconcentrations and isotherm density close to the heated wall increased when the buoyancy force shifted from a negative magnitude to a positive one. The local Nu increased as the Rayleigh number increased but reduced as the volume fraction augmented. Furthermore, the mean Nu (Nu¯) decreased by 3.12% and 6.81% and the Sh¯ increased by 83.17% and 117.91% with rising Lewis number for (Ra=105 and Da=10−3) and (Ra=106 and Da=10−4), respectively. Finally, the Br and Sr demonstrated positive sensitivity, and the Ra and ϕ showed negative sensitivity only for higher values of ϕ based on the RSM.
New Insights into Flow for a Low-Bypass-Ratio Transonic Fan with Optimized Rotor
Authors: Liu Mingjun , Zhang Zhenjiu , Liang Zhuoming , Xiao Haibing , Chen Huanlong , Yang Xianqing , Shao Changxiao
Published: October 2023

In this paper, a three-dimensional aerodynamics optimization system is built and applied to optimize a rotor blade to balance the conflicts between stall margin, total pressure ratio, adiabatic efficiency, and mass flow rate for the high-loading and transonic-flow fan. A novel flow diagnostic method based on vorticity dynamics theory is utilized to analyze the reasons for the improvement in aerodynamic performance in the optimized transonic fan. In the established aerodynamic optimization method, use the blade profile camber line curvature and its leading edge metal angle as the optimization variables, which are optimized by modifying the coordinates of their control points and introducing a genetic algorithm. Finally, the vorticity dynamics parameters, such as the boundary vorticity flux (BVF), azimuthal vorticity and skin-friction lines are used to diagnose the key flow features in the optimized and baseline fan passage. The results indicate that, by controlling skillfully the blade camber line curvature in the optimization improves the aerodynamic performance of the fan stage, increasing the total pressure ratio by 1.90% while increasing the mass flow rate and adiabatic efficiency by 5.82% and 4.45%, respectively. The formulas from the vorticity dynamics diagnosis method indicate a close link between the aerodynamic performance and vorticity dynamic parameters for the axial fan/compressor passage flow, and that both azimuthal vorticity and boundary vorticity flux have significant influence on fan stage performance. Moreover, the boundary layer separation flow on the rotor blade surface is accompanied by a spike of entropy and static pressure, and their derivative/gradient also suffer drastic changes under the effect of shock waves. Detailed flow information can be obtained about the on-wall with high accuracy based on the vorticity dynamics diagnosis method, which provides researchers with a novel method for the turbomachinery aerodynamic design and analysis in the aero-engine engineering development field.
On the Measure of the Heat Transfer Performance of RANS Turbulence Models in Single Round Jet Impingement
Authors: Gurgul Sebastian , Fornalik-Wajs Elzbieta
Published: October 2023

The jet impingement phenomenon is one of the processes which can enhance heat transfer. Due to its complex nature, it has been the subject of many experimental and numerical analyses in which researchers have tried to quantify and qualitatively describe it. However, the lack of crucial information regarding procedures, accuracy, geometry settings, boundary conditions, etc. makes it challenging to compare the results, validate turbulence models, and reproduce data. In this publication, the authors show a consistent and systematic numerical analysis of round and turbulent jet impingement based on RANS turbulence models. The results have been calculated for various geometrical configurations, Reynolds number values, and turbulence models, and compared with experimental and numerical data available in the literature to show their similarities and differences. It led to unique data collection, which was used in the novel quantitative analysis and helped lead to proposing the measure of the heat transfer performance of a particular turbulence model. Such a measure has not been reported so far. The measure exhibited that no turbulence model is suitable for all analyzed parameters. Quantitative comparisons enable recommendations of turbulence models for analyzed cases which have the potential to accelerate the design process of devices and could be a source of suggestions for other researchers.
Novel Control Approach for Resonant Class-DE Inverters Applied in Wireless Power Transfer Systems
Authors: Avilés Juan Pablo Ochoa , Tofoli Fernando Lessa , Ribeiro Enio Roberto
Published: October 2023

Regulating the load voltage is of major importance for ensuring high transmission efficiency in wireless power transfer (WPT) systems. In this context, this work presents a novel control strategy applied in the dc-ac converter used in the primary side of a WPT system. The performance of a class-DE resonant inverter is investigated considering that such topology presents inherent soft-switching characteristics, thus implying reduced switching losses. The controller relies on an autoregressive with exogenous output (ARX) model based on an adaptive linear neuron (ADALINE) network, which allows for determining the turn-on time of the active switches accurately while providing the system with the ability to adapt to distinct alignment conditions. The performance of the proposed controller is compared with that of a linear controller, which does not prove to be an effective solution if misalignment occurs.
Fructan Catabolism by Rumen Microbiota of Cattle and Sheep
Authors: Weinert-Nelson Jennifer R. , Kagan Isabelle A. , Ely Donald G. , Flythe Michael D. , Davis Brittany E.
Published: October 2023

Fructans serve as the primary form of storage carbohydrate in cool-season grasses, but little is known about potential differences in ruminal fermentation of fructans between cattle and sheep. An ex vivo study was conducted to evaluate species differences in fructan catabolism. Buffered media containing ground orchardgrass (Dactylis glomerata L.) substrate was inoculated with uncultivated rumen microbiota obtained from cattle and sheep (n = 4 species−1). Fructan profiles were monitored over the incubation period (8 h; 39 °C) using high-performance anion-exchange chromatography coupled to pulsed amperometric detection (HPAEC-PAD). In both species, disappearance of long-chain fructans (degree of polymerization [DP] > 8) was evident by 2 h of incubation (p < 0.01), whereas short-chain fructans (DP 4–8) increased from 0 to 2 h prior to subsequent degradation (p < 0.01). However, the overall rate of long-chain fructan catabolism was greater in bovine versus ovine fermentations, particularly between 2 and 4 h (p < 0.01). Additionally, rapid utilization of short-chain fructans occurred from 2 to 4 h in bovine fermentations, but was delayed in ovine fermentations, with substantial degradation occurring only after 4 h of incubation (p < 0.01). These results indicate that rumen microbiota of cattle may have a greater capacity for fructan degradation.
Effect on Muscle Cellularity of Diet Supplementation with Nannochloropsis gaditana Microalgae in the Final Fattening Phase of Gilthead Seabream Culture up to Commercial Size
Authors: Ayala María Dolores , Chaves-Pozo Elena , Sáez María Isabel , Galafat Alba , Alarcón Francisco Javier , Martínez Tomás Francisco , Arizcun Marta
Published: October 2023

Previous studies have shown that Nannochloropsis gaditana can partially replace fishmeal in the diet of gilthead seabream, Sparus aurata. However, its effect on muscle growth is hardly known. This experiment was carried out with gilthead seabream adults that were fed with N. gaditana at two inclusion levels (2.5 or 5%) either raw (R2.5 and R5 groups) or cellulose-hydrolyzed (H2.5 and H5 groups) for 45 days in the final fattening phase. The body length and body weight were measured in all fish at the beginning and end of the experiment. Also, the white muscle transverse area (WM), size, number and fibrillar density of the white fibers were measured in 9 fish group−1. After 45 days, the body parameters and the WM did not show significant differences among the groups. However, muscle cellularity did show significant differences, such that the hypertrophy values were higher in the H2.5 and H5 than in the R2.5 and R5 groups. On the contrary, R2.5 and R5 showed the highest fibrillar density and hyperplasia values, which are often positively correlated with the fillet firmness and therefore could improve the final quality of the fish. No significant differences attributable to the inclusion levels of N. gaditana were observed.
Factors Limiting Shelf Life of a Tomato–Oil Homogenate (Salmorejo) Pasteurised via Conventional and Radiofrequency Continuous Heating and Packed in Polyethylene Bottles
Authors: Kravets Marina , Abea Andrés , Guàrdia Maria Dolors , Muñoz Israel , Bañón Sancho
Published: October 2023

Salmorejo is a tomato–oil cold puree commercialized as a “fresh-like” product requiring mild pasteurisation and chill storage to reach a suitable shelf lifetime. The objective of this study was to study the factors which limit the shelf life of salmorejo pasteurised via conventional or radiofrequency continuous heating, packed in high-density polyethylene bottles, and kept at refrigeration. The pasteurised–chilled salmorejo reached a long shelf life (4 months) compared to that of pasteurised tomato juices or purees. Mesophilic and pathogenic bacteria were easily inhibited in this acidic product. Salmorejo mainly showed oxidative and subsequent sensory changes. Initial enzyme oxidation was associated with some adverse effects (loss of vitamin C and lipid oxidation) at the first month, although there were no sensory implications. Salmorejo remained stable at the physicochemical and sensory levels for the following 3 months, though colour and viscosity changes could be measured with instruments. Between the fourth and fifth month, salmorejo showed clear signs of deterioration, including changes in appearance (slight browning and loss of smooth surface), odour/flavour (loss of freshness and homogenisation), and consistency (thinning trend). The shelf life of salmorejo is limited by long-term oxidative deterioration and their sensory implications.
Research Progress on Biological Accumulation, Detection and Inactivation Technologies of Norovirus in Oysters
Authors: Sun Yiqiang , Liang Meina , Zhao Feng , Su Laijin
Published: October 2023

Noroviruses (NoVs) are major foodborne pathogens that cause acute gastroenteritis. Oysters are significant carriers of this pathogen, and disease transmission from the consumption of NoVs-infected oysters occurs worldwide. The review discusses the mechanism of NoVs bioaccumulation in oysters, particularly the binding of histo-blood group antigen-like (HBGA-like) molecules to NoVs in oysters. The review explores the factors that influence NoVs bioaccumulation in oysters, including temperature, precipitation and water contamination. The review also discusses the detection methods of NoVs in live oysters and analyzes the inactivation effects of high hydrostatic pressure, irradiation treatment and plasma treatment on NoVs. These non-thermal processing treatments can remove NoVs efficiently while retaining the original flavor of oysters. However, further research is needed to reduce the cost of these technologies to achieve large-scale commercial applications. The review aims to provide novel insights to reduce the bioaccumulation of NoVs in oysters and serve as a reference for the development of new, rapid and effective methods for detecting and inactivating NoVs in live oysters.
Research on Flesh Texture and Quality Traits of Kiwifruit (cv. Xuxiang) with Fluctuating Temperatures during Cold Storage
Authors: Xu Ranran , Chen Qian , Zhang Yizhao , Li Jiali , Zhou Jiahua , Wang Yunxiang , Chang Hong , Meng Fanxiang , Wang Baogang
Published: October 2023

Kiwifruits are often exposed to various temperature fluctuations (TFs) during postharvest transportation and storage. To evaluate the effect of TFs on the qualities of kiwifruits during storage, kiwifruits were stored at 2 °C, 2 °C or 5 °C (TF2 °C–5 °C, alternating every 12 h), 2 °C or 7 °C (TF2 °C–7 °C, alternating every 12 h) for 3 d before long time storage at 2 °C. Observations revealed that kiwifruits stored at a constant 2 °C showed the lowest loss of weight and vitamin C because of minimized ethylene production and respiratory rate compared with that of TF2 °C–5 °C and TF2 °C–7 °C. Moreover, the results of RT-qPCR verified that the expression levels of genes encoding polygalacturonase, β-galacturonidase, and pectin methylesterase were significantly increased by the treatment of TF. Hence, TF accelerated the degradation of cell walls, softening, translucency, and relative conductivity of the flesh of kiwifruits. In addition, the impact of TF2 °C–7 °C on kiwifruits was more significant relative to TF2 °C–5 °C. The present study provides a theoretical basis for kiwifruit during cold storage.
Who Cares about Biogenic Amines?
Authors: Esposito Luigi , Mastrocola Dino , Martuscelli Maria
Published: October 2023

Biogenic amines (BAs) have been under study since the early 1970s [...]
Exploring Propagating Soliton Solutions for the Fractional Kudryashov–Sinelshchikov Equation in a Mixture of Liquid–Gas Bubbles under the Consideration of Heat Transfer and Viscosity
Authors: Ali Rashid , Hendy Ahmed S. , Ali Mohamed R. , Hassan Ahmed M. , Awwad Fuad A. , Ismail Emad A. A.
Published: October 2023

In this research work, we investigate the complex structure of soliton in the Fractional Kudryashov–Sinelshchikov Equation (FKSE) using conformable fractional derivatives. Our study involves the development of soliton solutions using the modified Extended Direct Algebraic Method (mEDAM). This approach involves a key variable transformation, which successfully transforms the model into a Nonlinear Ordinary Differential Equation (NODE). Following that, by using a series form solution, the NODE is turned into a system of algebraic equations, allowing us to construct soliton solutions methodically. The FKSE is the governing equation, allowing for heat transmission and viscosity effects while capturing the behaviour of pressure waves in liquid–gas bubble mixtures. The solutions we discover include generalised trigonometric, hyperbolic, and rational functions with kinks, singular kinks, multi-kinks, lumps, shocks, and periodic waves. We depict two-dimensional, three-dimensional, and contour graphs to aid comprehension. These newly created soliton solutions have far-reaching ramifications not just in mathematical physics, but also in a wide range of subjects such as optical fibre research, plasma physics, and a variety of applied sciences.
Positive Solutions for Some Semipositone Fractional Boundary Value Problems on the Half-Line
Authors: Bachar Imed
Published: October 2023

Our goal is to address the question of existence and uniqueness of a positive continuous solution to some semipositone fractional boundary value problems on the half-line. Global estimates on this solution are given. This kind of problems, where the nonlinearity is allowed to be sign-changing, are often difficult to solve analytically and becomes more challenging specially when we are looking for positive solutions. The main result is obtained by means of the properties of the Green function and fixed point theorem.
Topical Delivery of Terbinafine HCL Using Nanogels: A New Approach to Superficial Fungal Infection Treatment
Authors: Hassan Shams ul , Khalid Ikrima , Hussain Liaqat , Imam Mohammad T. , Shahid Imran
Published: October 2023

This study investigated pH-responsive Terbinafine HCL (TBH)-loaded nanogels as a new approach to treating superficial fungal infections. Acrylic acid (AA) is a synthetic monomer that was crosslinked with a natural polymer (gelatin) using a free radical polymerization technique to fabricate gelatin-g-poly-(acrylic acid) nanogels. Ammonium persulphate (APS) and N, N′-methylene bisacrylamide (MBA) were used as the initiator and crosslinker, respectively. Developed gelatin-g-poly-(acrylic acid) nanogels were evaluated for the swelling study (pH 1.2, 5, 7.4), DEE, particle size, FTIR, thermal stability (TGA, DSC), XRD, SEM, DEE, and in vitro drug release study to obtain optimized nanogels. Optimized nanogels were incorporated into 1% HPMC gel and then evaluated in comparison with Lamisil cream 1% for TBH stratum corneum retention, skin irritation, and in vitro and in vivo antifungal activity studies. Optimized nanogels (AAG 7) demonstrated a 255 nm particle size, 82.37% DEE, pH-dependent swelling, 92.15% of drug release (pH) 7.4 within 12 h, and a larger zone of inhibition compared to Lamisil cream. HPMC-loaded nanogels significantly improved the TBH skin retention percentage, as revealed by an ex vivo skin retention study, indicating the usefulness of nanogels for topical use. In vivo studies conducted on animal models infected with a fungal infection have further confirmed the effectiveness of nanogels compared with the Lamisil cream. Hence, Gelatin-g-poly-(acrylic acid) nanogels carrying poorly soluble TBH can be a promising approach for treating superficial fungal infections.
Compendium of Safety Regulatory for Safe Applications of Aerogels
Authors: Boccia Antonella Caterina , Pulvirenti Alfio , García-González Carlos A. , Grisi Fabia , Neagu Monica
Published: October 2023

An increasing number of aerogels as nanostructured highly porous materials are entering the market in every day products, with an attractive portfolio of properties for emerging applications ranging from health care and leisure to electronics, cosmetics, energy, agriculture, food and environmental. However, the novelty in properties and forms of aerogels makes the development of a legislative framework particularly challenging for ensuring the safe development and use of nano-enabled products. The presented safety regulatory Compendium intends to share knowledge with the international aerogels community, as well as end-users and stakeholders, on the regulatory and safe handling procedures, as best safety practices, to be followed during the production process, handling, transport and end-use of aerogel-based formulations to mitigate human and environmental risks considering lack of data availability for this purpose in general.
Reconciling Positionality: An Indigenous Researcher’s Reflexive Account
Authors: Evans Russell A.
Published: October 2023

As researchers, we take the subjectivity we have formed over time into each research project. These subjective traces are a product of our lived experiences, gradually shaping our perceptions and interpretations of the world. Despite being an Indigenous scholar, my lived experience has not primarily occurred within Indigenous settings, resulting in biased subjectivities emerging while researching First Nations communities. This paper describes my subjective traces and reflects on the biases I uncovered while researching Indigenous communities. The reflection consists of three main sections: a personal background, a description of experiences in the research sites, and a discussion of what the reflections mean to the decolonization of academia. Overall, I hope that the insights in this reflection go beyond the mere recognition of Indigenous voices and encourage Indigenous researcher activism toward advancing and diversifying academia.
Assessment of Knowledge, Attitude, and Practice towards Tuberculosis among Taif University Students
Authors: Mohammed Eilaf , Alotaibi Huriyyah , Alnemari Joud , Althobiti Meznah , Alotaibi Shumukh , Ewis Ashraf , El-Sheikh Azza , Abdelwahab Sayed
Published: October 2023

Tuberculosis (TB) remains a significant public health concern worldwide. Given the dense living and interactive nature of university environments, students may be at higher risk. This cross-sectional study assessed tuberculosis-related knowledge, attitudes, and practices (KAP) among students at Taif University (TU) from November 2022 to May 2023. Using a self-administered online questionnaire with 40 items, 1155 students participated. Key demographics: 68.2% females, 96.9% Saudi citizens, 94.5% unmarried, and 87.5% non-smokers. Of the respondents, 26.5% had no knowledge of TB. The TB-related KAP scores among the aware students were 64.9%, 74.8%, and 81%, respectively. Medical college students exhibited significantly higher TB-related knowledge and attitudes than their non-medical peers (p < 0.001). The findings indicate a commendable level of TB-awareness among TU students, but there remains a substantial uninformed segment. Campaigns to enhance TB knowledge among TU students are suggested.
Self-Perceived Clinical Competence of Nurses in Different Working Experiences: A Cross-Sectional Study
Authors: Notarnicola Ippolito , Ivziku Dhurata , Tartaglini Daniela , Filomeno Lucia , Gualandi Raffaella , Ricci Simona , Lommi Marzia , Porcelli Barbara , Raffaele Barbara , Montini Graziella , Ferramosca Federica Maria Pia , Di Maria Erica , De Benedictis Anna , Baysal Ebru , Latina Roberto , Rocco Gennaro , Stievano Alessandro
Published: October 2023

Background: Competence is an essential concept for measuring nurses’ performance in terms of effectiveness and quality. To this end, our analysis highlighted the process of acquiring competencies, their self-evaluation into clinical practice, and how their proficiency levels change throughout the nursing career. In detail, this research explored nurses’ perceived level of competence and the factors that influence it in different contexts. Methods: A cross-sectional survey using a structured questionnaire to assess the nursing participants’ perception of their competencies in different clinical settings was accomplished. Results: A descriptive and bivariate analysis was performed on 431 nurses. Most respondents assessed their level of competence to be higher than their roles required. The Kruskal–Wallis test confirmed that nursing experience was a relevant factor influencing nursing competencies. Conclusions: We suggest improving the competence of practicing nurses, using experience as a measurable effect of their development.
The Relationship between Depression and COVID-19 Vaccine Uptake and Intention among Korean Adults: The 2021 Community Health Survey
Authors: Kim Nan Young , Kim Hae Ran
Published: October 2023

Individuals with depressive symptoms are vulnerable to COVID-19 infection and mortality; therefore, their vaccination status must be investigated to reduce these rates. This study investigated the association between depressive symptoms and COVID-19 vaccine uptake and intention and identified the reasons for vaccine avoidance. Data were collected from the 2021 Korea Community Health Survey and analyzed using logistic regression. A statistically significant association was found between the presence of depressive symptoms and no COVID-19 vaccine uptake. Among individuals who reported experiencing depression, 4.6% were unvaccinated and 7.7% reported no intention to get vaccinated. Among the unvaccinated, the adjusted odds ratio (aOR) for depression was 1.53 (95% confidence interval: 1.45–1.61) compared to the vaccinated. Similarly, a significant association was observed between depressive symptoms and no intention to get vaccinated. In the group with no vaccine intention, the aOR for depression was 2.06 (95% CI: 1.86–2.27) compared to the group with vaccine intention. Furthermore, “health-related reasons” and “concerns about side effects or past experience of side effects” accounted for 89% of the reasons for vaccine avoidance among individuals with depression. Therefore, it is important to provide tailored information and develop programs to increase awareness and promote COVID-19 vaccine uptake among these individuals.
Changes in Patient Discourse: A Qualitative Study Based on the Treatment Experience of Chinese Patients with Somatization Symptoms
Authors: Shu Wenting , Ma Xiquan , Zhao Xudong
Published: October 2023

This qualitative study examines the characteristics exhibited by Chinese patients with somatization symptoms during their treatment process, focusing on changes in illness interpretation and language use. A semi-structured in-depth interview was conducted with 10 patients receiving treatment in a clinical psychology department of a general hospital who reported somatic symptoms as their main complaint. The interview data were recorded and transcribed, and analyzed using interpretive phenomenological analysis. Two core themes emerged from the analysis: avoidance at the utterance level; and at the semantic level, power and contestation. Patients with somatization symptoms exhibit avoidance behaviors, and their experience of illness and the therapeutic process impact their discourse. Professionals should pay attention to patients’ own interpretations, cultural background and acceptance of the illness.
Awake Nasal Fiberoptic Intubation in Lateral Position for Severely Obese Patients with Anticipated Difficult Airway: A Randomized Controlled Trial
Authors: Ababneh Omar , Bsisu Isam , El-Share’ Ahmad I. , Alrabayah Mustafa , Qudaisat Ibraheem , Alghanem Subhi , Khreesha Lubna , Ali Amani Mohamed , Rashdan Mohammad
Published: October 2023

Background: Obesity is a well-recognized risk factor for difficult intubation. To safely manage and overcome airway challenges in severely obese patients with a suspected difficult airway, awake fiberoptic intubation is recommended. We aimed to investigate the utility of awake nasal fiberoptic intubation in severely obese patients with suspected difficult airway while positioning them in the lateral decubitus position. Methods: This randomized controlled trial compared lateral and supine positions for awake nasal fiberoptic intubation in severely obese patients with an anticipated difficult airway by assessing the success rate, time needed to secure the airway, peri-procedural adverse events, and postoperative satisfaction of patients. Results: Sixty patients with a median age of 37 [inter-quartile range (IQR): 29–44] years were included, of which 47 (78.3%) were females. The median body mass index (BMI) was 45.5 [IQR: 42.5–50.8] kg/m2. The success rate of fiberoptic intubation was 100% in both groups. The time needed to successfully secure the airway was 188 [148.8–228.8] seconds (s) in the lateral position, compared to 214.5 [181.8–280.5] s in supine position (p = 0.019). Intraprocedural cough was more common in the supine position group (n = 8; 26.7%), compared to the lateral position group (n = 3; 10%; p = 0.095). Postoperative sore throat was more common in the lateral position group (n = 12; 40%) compared to the supine position (n = 5; 16.7%; p = 0.045). Conclusions: In conclusion, Intubation in the lateral position is a promising technique that is equivalent to the routine supine position during fiberoptic intubation. In fact, intubation in the lateral position took less time to successfully secure the airway.
A Multi-Analytical Study of a 17th-Century Wallachian Icon Depicting the “Mother of God with Child”
Authors: Ratoiu Lucian Cristian , Serafima Sister , Cortea Ioana Maria , Duliu Octavian G.
Published: October 2023

As part of a detailed investigation project focused on the painting materials and technical features used in Wallachia during the 17th and 18th century, the imperial icon “Mother of God with Child” from the Orthodox Church of the “Annunciation” in Râmnicu Vâlcea, Romania, was investigated before the restoration intervention. A minimally invasive multi-analytical approach consisting of high-resolution digital radiography, hyperspectral imaging, UV fluorescence imaging, portable X-ray fluorescence, and Fourier transform infrared spectroscopy was used. The results emphasized several key features, such as: the structure of the wooden panel, the nature of pigments and of the painting technique frequently used at that time, and various defects of the pictorial layer including traces of previous restoration works, most probably made at the end of the 18th century.