bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization and Prediction of Different Building Forms for Thermal Energy Performance in the Hot Climate of Cairo Using Genetic Algorithm and Machine Learning
Authors: Khalil Amany , Lila Anas M. Hosney , Ashraf Nouran
Published: October 2023

The climate change crisis has resulted in the need to use sustainable methods in architectural design, including building form and orientation decisions that can save a significant amount of energy consumed by a building. Several previous studies have optimized building form and envelope for energy performance, but the isolated effect of varieties of possible architectural forms for a specific climate has not been fully investigated. This paper proposes four novel office building form generation methods (the polygon that varies between pentagon and decagon; the pixels that are complex cubic forms; the letters including H, L, U, T; cross and complex cubic forms; and the round family including circular and oval forms) and evaluates their annual thermal energy use intensity (EUI) for Cairo (hot climate). Results demonstrated the applicability of the proposed methods in enhancing the energy performance of the new forms in comparison to the base case. The results of the optimizations are compared together, and the four families are discussed in reference to their different architectural aspects and performance. Scatterplots are developed for the round family (highest performance) to test the impact of each dynamic parameter on EUI. The round family optimization process takes a noticeably high calculation time in comparison to other families. Therefore, an Artificial Neural Network (ANN) prediction model is developed for the round family after simulating 1726 iterations. Training of 1200 configurations is used to predict annual EUI for the remaining 526 iterations. The ANN predicted values are compared against the trained to determine the time saved and accuracy.
Production Responses of Holstein Dairy Cows to a Sodium Propionate Supplement Fed Postpartum to Prevent Hyperketonemia
Authors: Wukadinovich Morgan , Rossow Heidi A.
Published: October 2023

Hyperketonemia is common in cows postpartum and is associated with a decrease in milk production, reproductive efficiency, and increased risk of periparturient diseases and early culling from the herd. The objective of this research was to determine if feeding an exogenous source of propionate increased milk and milk component yield and reduced the incidence of hyperketonemia and other health events in Holstein dairy cows. Cows were systematically enrolled in the control group (C) or sodium propionate treatment group (SP) in a randomized block design. A subset of cows was sampled for blood glucose and betahydroxybutyrate (BHB) concentrations in milk at 3, 7, and 14 days using a NovaMax® Plus™ meter (Nova Diabetes Care, Inc., Billerica, MA, USA). Data were analyzed using a mixed model. Average blood BHB and glucose concentrations during the postpartum period did not differ between treatments for multiparous or primiparous cows (C = 0.53 ± 0.02, SP: 0.55 ± 0.02 mmol BHB/L, p = 0.5; C = 44.0 ± 0.77, SP = 43.0 ± 0.78 glucose mg/dL, p = 0.6). However, the prevalence of hyperketonemia and metritis was high in primiparous cows (C = 35.6% and 19.8%, respectively; SP = 35.8% and 18.9%, respectively). Blood glucose was inversely related to BHB concentration for cows below 40 mg/dL blood glucose. Feeding sodium propionate during the postpartum period increased milk fat yield (C = 1.71; SP = 1.86 kg/day, p = 0.01), tended to increase milk yield in multiparous cows (C = 39.3; SP = 40.5 kg/day, p = 0.06) and increased milk fat yield in primiparous cows (C = 1.18; SP = 1.27 kg/day, p = 0.02). Including sodium propionate in the total mixed ration is beneficial to reduce health events and increase milk fat production in multiparous cows but may only increase milk fat production in primiparous cows.
Fast Radius Outlier Filter Variant for Large Point Clouds
Authors: Szutor Péter , Zichar Marianna
Published: October 2023

Currently, several devices (such as laser scanners, Kinect, time of flight cameras, medical imaging equipment (CT, MRI, intraoral scanners)), and technologies (e.g., photogrammetry) are capable of generating 3D point clouds. Each point cloud type has its unique structure or characteristics, but they have a common point: they may be loaded with errors. Before further data processing, these unwanted portions of the data must be removed with filtering and outlier detection. There are several algorithms for detecting outliers, but their performances decrease when the size of the point cloud increases. The industry has a high demand for efficient algorithms to deal with large point clouds. The most commonly used algorithm is the radius outlier filter (ROL or ROR), which has several improvements (e.g., statistical outlier removal, SOR). Unfortunately, this algorithm is also limited since it is slow on a large number of points. This paper introduces a novel algorithm, based on the idea of the ROL filter, that finds outliers in huge point clouds while its time complexity is not exponential. As a result of the linear complexity, the algorithm can handle extra large point clouds, and the effectiveness of this is demonstrated in several tests.
Identification of Potential Non-Systemic Therapeutics for Hyperammonemia
Authors: Nicklas Brad , Velasquez Morales Simon , Qian Jian , Stephens Kyle J. , Corbin David R. , Shiflett Mark B. , Berkland Cory J. , Allgeier Alan M.
Published: October 2023

A non-absorbable therapeutic candidate for the treatment of hyperammonemia has been identified and characterized. Conventional approaches to reducing ammonia concentration in the blood and colon include acidifying the colon, inhibiting the bacterial production of ammonia, and activation of the urea cycle. Addressing gaps in the literature around therapeutic ammonia adsorption, this study established assays for ammonia uptake from both NH4OH and NH4Cl solutions as well as interference and selectivity for potassium absorption. Performance was characterized for a large number and variety of materials, spanning zeolites, ion-exchange resins, metallopolymers, metal–organic frameworks (MOFs), and polymeric carboxylic acids. The latter class showed low potassium capacity (poly(acrylic acid): 10 mg/g, poly(maleic-co-acrylic acid): 4 mg/g) and a therapeutically relevant depression of pH in buffered simulated intestinal fluid (SIF) (poly(acrylic acid): −2.01 and poly(maleic-co-acrylic acid): −3.23) compared to lactulose (−3.46), an approved therapeutic for hyperammonemia that works by acidifying the colon. In the polymeric organic acids evaluated, pH depression correlated well with pKa and acid site density. Additionally, this class of candidates should avoid the undesirable side effects of lactulose, such as the potential for hyperglycemia in diabetic patients and incompatible use with galactosemic patients.
Content Learning in an Interprofessional Environment for Health and Social Care Students: The Role of Learning Activities and Group Work Appraisals
Authors: Österholm Erika , Iiskala Tuike , Wuorela Minna-Kaarina , Kortekangas-Savolainen Outi , Murtonen Mari
Published: October 2023

Undergraduate interprofessional courses aim to enhance health and social care students’ knowledge and skills for working life. Employing a pre-posttest design, this mixed methods study explored the impact of a new interprofessional course on content learning with the aid of mind maps. Questionnaires were used to assess the course’s effect on learning activities (including strategies for cognitive processing and regulation) and appraisals of group work. The students represented six health and social care disciplines. The results indicate that students’ content learning at the concept level was significantly improved. While participants’ cognitive, critical processing was clearly enhanced and group work appraisals became more positive, more than one in four post-course mind maps overlooked an essential concept related to interprofessional work. The more sophisticated mind maps were linked to a stepwise cognitive processing strategy and a sense of the cognitive benefits of group learning. This relatively short course did not impact regulation strategies. The study discusses the implications of these findings for effective techniques to support interprofessional learning in higher education.
Electrification of Industrial Processes as an Alternative to Replace Conventional Thermal Power Sources
Authors: Muñoz-Maldonado Yecid , Correa-Quintana Edgar , Ospino-Castro Adalberto
Published: October 2023

The electrification of industrial processes offers sustainable opportunities for reducing carbon footprints and enhancing energy efficiency in the chemical industry. This paper presents an overview of recent research developments in incorporating electrical energy as a replacement for conventional thermal sources like gas and coal in industrial sectors. A literature review was conducted, identifying 70 relevant articles published until September 2020. The topics cover applications for industrial hydrogen generation processes and others, heat pumps, heat pumps, vapor re-compression systems, electric and magnetic fields as heat sources, nanoparticles for improved heat exchange, and ionized gases (plasma) in heating systems. While the application of industrial electrification shows promise globally, its sustainability depends on the efficiency and cost of electrical energy production and transportation at the regional and national levels. Among the various technologies, heat pumps integrated with vapor re-compression systems (VCR) for chemical processes, particularly in industrial distillation product separation columns, appear to be the most viable and widely applicable for waste heat recovery in the near future. Other technologies like electrochemical, plasma, microwave, magnetic, and electric field heating are still in the early stages of development or are limited to specific pilot or laboratory-scale processes.
Optimizing the Layout of a Ground Source Heat Pump System with a Groundwater–Thermal Coupling Model
Authors: Li Yujiao , Liu Peng , Wang Wei , Ke Xianmin , Jiao Yiwen , Liu Yitian , Liang Haotian
Published: October 2023

The exploitation and utilization of shallow geothermal energy are of great significance to realizing China’s “double carbon” goal and promoting a green economy and social development. However, many projects using ground source heat pumps to exploit shallow geothermal energy have disrupted the thermal balance of the geothermal field due to insufficient preliminary research, affecting the sustainable utilization of shallow geothermal energy. Therefore, a 3D groundwater–thermal coupling model was established in this paper using the geotemperature data of a ground source heat pump system in Xi’an. This study investigated the response characteristics of the groundwater–thermal system to the ground source heat pump system using the numerical simulation method and discussed the optimal layout scheme of the system on this basis. After years of simulation, it was found that long-term operation of the ground source heat pump system under actual operation produces “cold accumulation”. In addition to artificial intervention of the groundwater flow field, the effects of the system operating parameters and layout settings are also investigated to alleviate this cold accumulation. The results show that changing the operating parameters so that the heat transfer is the same in winter and summer, cross-locating the cooling holes with the heating holes, and placing multiple pumping and recharge wells downstream can alleviate the cold accumulation in the heat exchange zone. The results of this numerical simulation study provide an important reference for solutions to mitigate the accumulation of ground cold and heat in developing shallow geothermal energy using borehole heat exchangers and to suppress the downstream geotemperature disturbance via the ground source heat pump system.
Steel, Aluminum, and FRP-Composites: The Race to Zero Carbon Emissions
Authors: Rajulwar Vaishnavi Vijay , Shyrokykh Tetiana , Stirling Robert , Jarnerud Tova , Korobeinikov Yuri , Bose Sudip , Bhattacharya Basudev , Bhattacharjee Debashish , Sridhar Seetharaman
Published: October 2023

As various regions around the world implement carbon taxes, we assert that the competitiveness of steel products in the marketplace will shift according to individual manufacturers’ ability to reduce CO2 emissions as measured by cradle-to-gate Life Cycle Analysis (LCA). This study was performed by using LCA and cost estimate research to compare the CO2 emissions and the additional cost applied to the production of various decarbonized materials used in sheet for automotive industry applications using the bending stiffness-based weight reduction factor. The pre-pandemic year 2019 was used as a baseline for cost estimates. This paper discusses the future cost scenarios based on carbon taxes and hydrogen cost. The pathways to decarbonize steel and alternative materials such as aluminum and reinforced polymer composites were evaluated. Normalized global warming potential (nGWP) estimates were calculated assuming inputs from the current USA electricity grid, and a hypothetical renewables-based grid. For a current electricity grid mix in the US (with 61% fossil fuels, 19% nuclear, 20% renewables), the lowest nGWP was found to be secondary aluminum and 100% recycled scrap melting of steel. This is followed by the natural gas Direct Reduced Iron–Electric Arc Furnace (DRI-EAF) route with carbon capture and the Blast Furnace-Basic Oxygen Furnace (BF-BOF) route with carbon capture. From the cost point of view, the current cheapest decarbonized production route is natural gas DRI-EAF with Carbon Capture and Storage (CCS). For a renewable electricity grid (50% solar photovoltaic and 50% wind), the lowest GWP was found to be 100% recycled scrap melting of steel and secondary aluminum. This is followed by the hydrogen-based DRI-EAF route and natural gas DRI-EAF with carbon capture. The results indicate that, when applying technologies available today, decarbonized steel will remain competitive, at least in the context of automotive sheet selection compared to aluminum and composites.
Predicting Silica Deposition from Superheated, Pressurized Steam Using Numerical Modeling of Nucleation, Agglomeration and Deposition
Authors: Bordvik Silje , van Erp Titus S. , Ucar Seniz , Næss Erling
Published: October 2023

A model that can be used to quantify silica deposition from superheated depressurized steam is developed. Classical nucleation theory, agglomeration and deposition onto a wall are combined in a numerical model that calculates the concentration profile, the particle size distribution and the deposition in a flow through a pipeline after a sudden increase in supersaturation. The work presented here is an important step in understanding the mechanisms governing precipitation from supercritical and superheated steam as produced by deep geothermal wells drilled in magmatic areas. The power potential in such systems can be significantly higher than for conventional systems if utilized efficiently. The presented results can be applied to improve industrial designs and decrease energy costs. The model predicts the amount of precipitation along a pipe at various supersaturations, and the resulting deposition velocity in a straight pipe correlates fairly well with recent experimental results. There is a high number of nanocolloids formed close to the pressure reduction position, where deposition is at its maximum. Downstream, larger agglomerates develop, and deposition decreases as the number of particles and the overall concentration decreases. The local maximum deposition rate increases with increasing supersaturation. The calculations show that deposition mechanisms are as important as the chemical process of solidification when estimating where and how most material will be deposited. The rapid formation and deposition of solids predicted indicate that depressurization along with solid capture could be used to rid fluid of silica.
Energetic, Economic and Environmental Performance Analysis of a Micro-Combined Cooling, Heating and Power (CCHP) System Based on Biomass Gasification
Authors: Perrone Diego , Castiglione Teresa , Morrone Pietropaolo , Pantano Ferdinando , Bova Sergio
Published: October 2023

In this paper, the performance of an innovative micro-combined cooling, heating, and power (CCHP) system, based on an internal combustion engine fueled with syngas from woody biomass, is analyzed. In particular, a numerical model, which considers a direct coupling between the internal combustion engine and the gasifier as a novel aspect, was developed, validated and applied to three different case studies to perform an energetic, economic and environmental analysis. For each considered case, the CCHP system was equipped with a reversible electric air–water pump and a back-up boiler. The energy analysis shows that the user characterized by a high uniformity of the thermal load exploits the CCHP system in the optimal way as it allows for the highest thermal self-consumption rate. On the contrary, for the cases in which the thermal request is not uniform, a high electric surplus is recorded. In this case, the adoption of the heat pump allows to compensate for this disadvantage by recovering the electric surplus, thus achieving a thermal integration and CO2 emissions reduction of about 15.8% with respect to the case in which no heat pump is used. Overall, the results demonstrate the affordability of the biomass-based CCHP system, which is of increasing importance in this period of contingent international political crisis.
The 2013 Mexican Energy Reform in the Context of Sustainable Development Goal 7
Authors: Garcia-Garza Maria Guadalupe , Ortiz-Rodriguez Jeyle , Picazzo-Palencia Esteban , Munguia Nora , Velazquez Luis
Published: October 2023

In 2013, the Mexican Constitution was amended to allow private firms to participate in the energy sector market. Consequently, the energy reform opened the energy market to private investors, ending the state monopoly of PEMEX and CFE. This article aims to assess the impact of the 2013 Mexican Energy Reform on energy household consumption and, if proven effective, explore its potential to help achieve SDG 7. This longitudinal study gathered data before and after the energy bill reform, from 2012 to 2018, with a non-experimental design. Data analysis to determine the effect of the price variance was estimated through price elasticities of demand, and a logarithmic model was used to determine the relationship between the price and cost of electricity, gas, and fuel. Findings suggest that the 2013 Mexican Energy Reform led to an increase in energy prices that, on the one hand, reduced the consumption of energy generated using fossil hydrocarbons but, on the other hand, affected the portion of the population with less income. Consequently, it is possible to conclude that the 2013 Mexican Energy Reform is irreconcilable with SDG 7 unless substantial additional efforts are made to leave no one behind.
Uncertainty Covered Techno-Enviro-Economic Viability Evaluation of a Solar Still Water Desalination Unit Using Monte Carlo Approach
Authors: Sedayevatan Saba , Bahrami Armida , Delfani Fatemeh , Sohani Ali
Published: October 2023

Due to much lower initial and operating costs, as well as a great environmental and energy performance, there has been a growing tendency towards the application of solar still desalination systems to deal with water scarcity issues. By taking advantage of higher investments and providing incentives to policy makers, the application could be even broader. In order to convince the policy makers and investors, it is important to provide a clear and realistic overview of the technical, economic, and environmental viability of solar stills, and several studies have evaluated them from different viewpoints. Nonetheless, the economic and environmental factors have uncertainties, which have not been taken into account. Therefore, this study uses the Monte Carlo approach to consider the effects of the uncertainty of inflation and discount rates, in addition to emission factors, on the system’s techno-enviro-economic viability. The study is performed by covering cost per liter (CPL) and the annual saving of CO2 (SCO2) as the most important key techno-economic and environmental indicators of the system. The results show that the best probability distribution functions for inflation, discount, and emission factors are normal, log-normal, and their summation, respectively. Furthermore, both SCO2 and CPL are found to have considerable uncertainty. The former has a variation ranging from 317.7 to 427.9 g, while the corresponding values for the latter are 0.0212 to 0.0270 $ · L−1, respectively. With the amounts of 0.1716 and 0.1727, the values of 378.9 g and 0.0245 $ · L−1 are the values with the highest chance of occurrence for SCO2, as well as for CPL, respectively.
A New Method of Building Envelope Thermal Performance Evaluation Considering Window–Wall Correlation
Authors: Li Zhengrong , Si Yang , Zhao Qun , Feng Xiwen
Published: October 2023

This study proposes a new method to accurately evaluate the overall building envelope thermal performance considering the window–wall correlation, providing a new tool for building thermal design. Firstly, a non-stationary room heat transfer model is established based on the Resistance-Capacity Network method. The influence of solar heat gain through the windows on the heat transfer process of the walls in the actual environment is considered, and the room’s integrated thermal resistance and integrated heat capacity indexes describing the overall room thermal resilience performance are proposed. Then, a field research test is conducted around Lhasa to obtain the local dwelling information, climate conditions, and indoor thermal environment. Numerical simulations using EnergyPlus are made to verify the effectiveness of the indexes in describing the overall building (maximum difference within 3.67% MBE and 2.92% CVRMSE) based on the field test results. Finally, the proposed envelope thermal performance index is used to analyze the local residential buildings around Lhasa. The results show that the lack of consideration of window–wall correlation has led to the failure of a local newly built building’s actual envelope performance to meet the design requirements. These findings could help to develop the thermal design method of the building envelope.
Reproductive Behavior and Sexual Patterns in Two Cales, Heteroscarus acroptilus and Olisthops cyanomelas (Odacidae) at Rocky Reefs in Temperate Australia
Authors: Kawase Hiroshi , Sunobe Tomoki
Published: October 2023

We investigated reproductive behavior and sexual patterns in two odacid fish—Rainbow cale Heteroscarus acroptilus and Herring cale Olisthops cyanomelas—inhabiting temperate reefs in Australia on the basis of underwater observations and histological studies. The males of both species established a territory and continuously courted females they encountered in the territory. The males and females went up in the water column to release gametes in pairs. We found ovarian cavities in the gonadal tissue of H. acroptilus males, suggesting that protogynous sex change occurred in this species. Dichromatism is reported in O. cyanomelas, with males having a dark blue body color while females have a brown body color; however, we found small mature males also included among brown individuals. Furthermore, we diagnosed O. cyanomelas with gonochorism, which is rare in closely related labrids. We compared the similarities and differences in reproductive behavior and sexual patterns between the two species and with labrids.
Design of a Cryogenic Duplex Pressure-Swirl Atomizer through CFDs for the Cold Conservation of Marine Products
Authors: Ayala Eduardo , Rivera Diego , Ronceros Julio , Vinces Nikolai , Ronceros Gustavo
Published: October 2023

The following article proposes the design of a bi-centrifugal atomizer that allows the interaction of sprays from two fluids (water and liquid nitrogen). The liquid nitrogen (LN2) is below −195.8 °C, a temperature low enough for the nitrogen, upon contact with the atomized water, to cause heat loss and bring it to its freezing point. The objective is to convert the water droplets present in the spray into ice. Upon falling, the ice particles can be dispersed, covering the largest possible area of the seafood products intended for cold preservation. All these phenomena related to the interaction of two fluids and heat exchange are due to the bi-centrifugal atomizer, which positions the two centrifugal atomizers concentrically, resulting in the inevitable collision of the two sprays. Each of these atomizers will be designed using a mathematical model and CFDs tools. The latter will provide a better study of the flow behavior of both fluids inside and outside the bi-centrifugal atomizer. Hence, the objective revolves around confirming the validity of the mathematical model through a comparison with numerical simulation data. This comparison establishes a strong correlation (with a maximum variance of 1.94% for the water atomizer and 10% for the LN2 atomizer), thereby ensuring precise manufacturing specifications for the atomizers. It is important to highlight that, in order to achieve the enhanced resolution and comprehension of the fluid both inside and outside the duplex atomizer, two types of meshes were utilized, ensuring the utilization of the optimal option. Similarly, the aforementioned meshes were generated using two distinct software platforms, namely ANSYS Meshing (tetrahedral mesh) and ANSYS ICEM (hexahedral mesh), to facilitate a comparative analysis of the mesh quality obtained. This comprehension facilitated the observation of water temperature during its interaction with liquid nitrogen, ultimately ensuring the freezing of water droplets at the atomizer’s outlet. This objective aligns seamlessly with the primary goal of this study, which revolves around the preservation of seafood products through cold techniques. This particular attribute holds potential for various applications, including cooling processes for food products.
Blood Flow Simulation of Aneurysmatic and Sane Thoracic Aorta Using OpenFOAM CFD Software
Authors: Duronio Francesco , Di Mascio Andrea
Published: October 2023

Cardiovascular diseases still represent one of the most deadly pathologies worldwide. Knowledge of the blood flow dynamics within the cardio-vascular system is crucial in preventing these diseases and analysing their physiology and physio-pathology. CFD simulations are highly effective in guiding clinical predictions and, more importantly, allow the evaluation of physical and clinical parameters that are difficult to measure with common diagnostic techniques. Therefore, in particular, this study is focused on investigating the hemodynamics of the thoracic aorta. Real aortic geometries regarding a sane and diseased patient presenting an aneurysm were considered. CFD simulations were performed with the OpenFOAM C++ library using patient-specific pulsatile blood flow waveforms and implementing the Windkessel pressure boundary condition for the artery outflow. The adopted methodology was preliminarily verified for assessing the numerical uncertainty and convergence. Then, the CFD results were evaluated against experimental data concerning pressure and velocity of the thoracic aorta measured with standard diagnostic techniques. The normal aorta’s blood flow was also compared against the pattern regarding the patient-specific aortic aneurysm. Parameters such as wall pressure, wall shear stress (WSS) and velocity distribution were investigated and discussed. The research highlighted that the blood flow in the aorta is strongly affected by the aneurysm onset, with the growth of recirculation zones being potentially hazardous. The outcomes of the investigation finally demonstrate how CFD simulation tools, capturing the detailed physics of the aortic flow, are powerful tools for supporting clinical activities of the cardio-vascular system.
Analysis of Volatile Compounds during Food Fermentation
Authors: Vázquez-Araújo Laura
Published: October 2023

Fermented foods from different raw materials (fruits, cereals, milk, etc [...]
Assessment of Quality and Efficiency of Cold-Pressed Oil from Selected Oilseeds
Authors: Kabutey Abraham , Herák David , Mizera Čestmír
Published: October 2023

In this present study, an oil press was used to process 200 g each of sesame, pumpkin, flax, milk thistle, hemp and cumin oilseeds in order to evaluate the amount of oil yield, seedcake, sediments and material losses (oil and sediments). Sesame produced the highest oil yield at 30.60 ± 1.69%, followed by flax (27.73 ± 0.52%), hemp (20.31 ± 0.11%), milk thistle (14.46 ± 0.51%) and pumpkin (13.37 ± 0.35%). Cumin seeds produced the lowest oil yield at 3.46 ± 0.15%. The percentage of sediments in the oil, seedcake and material losses for sesame were 5.15 ± 0.09%, 60.99 ± 0.04% and 3.27 ± 1.56%. Sediments in the oil decreased over longer storage periods, thereby increasing the percentage oil yield. Pumpkin oil had the highest peroxide value at 18.45 ± 0.53 meq O2/kg oil, an acid value of 11.21 ± 0.24 mg KOH/g oil, free fatty acid content of 5.60 ± 0.12 mg KOH/g oil and iodine value of 14.49 ± 0.16 g l/100 g. The univariate ANOVA of the quality parameters against the oilseed type was statistically significant (p-value < 0.05), except for the iodine value, which was not statistically significant (p-value > 0.05). Future studies should analyze the temperature generation, oil recovery efficiency, percentage of residual oil in the seedcake and specific energy consumption of different oilseeds processed using small-large scale presses.
Impact of Ethanolic Thai Indigenous Leaf Extracts on Melanosis Prevention and Shelf-Life Extension of Refrigerated Pacific White Shrimp
Authors: Ahmad Abubakar Saleh , Sae-leaw Thanasak , Zhang Bin , Singh Prabjeet , Kim Jun Tae , Benjakul Soottawat
Published: October 2023

Shrimp has been known for its delicacy, but it undergoes rapid deterioration induced by biochemical and microbiological reactions. Melanosis is a major cause of discoloration associated with consumer rejection. All ethanolic extracts from different leaves including soursop, noni, and Jik leaves were dechlorophyllized via the “Green” sedimentation method before being used. The inhibitory activity against polyphenoloxidase (PPO) from Pacific white shrimp (Litopeneous vannamei) and the copper-chelating properties of varying extracts were compared. Soursop leaf extract (SLE) showed higher PPO inhibitory activity and copper-chelating ability than others (p < 0.05). Based on LC-MS, aempferol-3-O-rutinoside was identified as the most abundant compound, followed by catechin and neocholorigenic acid. The efficacy of SLE at different levels (0.25–1%) for inhibiting melanosis and preserving the quality of Pacific white shrimp was evaluated during refrigerated storage at 4 °C for 12 days in comparison with that of a 1.25% sodium metabisulfite (SMS)-treated sample. SLE at a level of 1% effectively retarded melanosis and bacterial growth, in which the total viable count did not exceed the microbial limit within 12 days. In addition, 1% SLE treatment impeded autolysis, reduced protein degradation and decomposition, and minimized lipid oxidation, as witnessed by the lower increases in pH, TVB-N, and TBARS values. Sensory evaluation indicated higher likeness scores and overall acceptability for SLE-1% and SMS-1.25% shrimps than those of the control and other samples. Therefore, SLE could be used as a natural alternative that effectively lowered the melanosis and quality loss of shrimp during refrigerated storage.
On Inequalities and Filtration Associated with the Nonlinear Fractional Operator
Authors: Nazir Maryam , Bukhari Syed Zakir Hussain , Ro Jong-Suk , Tchier Fairouz , Malik Sarfraz Nawaz
Published: October 2023

In this paper, we study a new filtration class MFα,βμ, associated with the filtration of infinitesimal generators, by using the nonlinear fractional differential operator and study certain properties, like sharp Fekete–Szegö inequalities and filtration problems.
A Methodology to Detect Traffic Data Anomalies in Automated Traffic Signal Performance Measures
Authors: Wang Bangyu , Schultz Grant G. , Macfarlane Gregory S. , Eggett Dennis L. , Davis Matthew C.
Published: October 2023

Automated traffic signal performance measures (ATSPMs) have garnered significant attention for their ability to collect and evaluate real-time and historical data at signalized intersections. ATSPM data are widely utilized by traffic engineers, planners, and researchers in various application scenarios. In working with ATSPM data in Utah, it was discovered that five types of ATSPM data anomalies (data switching, data shifting, data missing under 6 months, data missing over 6 months, and irregular curves) were present in the data. To address the data issues, this paper presents a method that enables transportation agencies to automatically detect data anomalies in their ATSPM datasets. The proposed method utilizes the moving average and standard deviation of a moving window to calculate the z-score for traffic volume data points at each timestamp. Anomalies are flagged when the z-score exceeds 2, which is based on the data falling within two standard deviations of the mean. The results demonstrate that this method effectively identifies anomalies within ATSPM systems, thereby enhancing the usability of data for engineers, planners, and all ATSPM users. By employing this method, transportation agencies can improve the efficiency of their ATSPM systems, leading to more accurate and reliable data for analysis.
Design and Development of a Topical Nanogel Formulation Comprising of a Unani Medicinal Agent for the Management of Pain
Authors: Sah Amit , Aggarwal Geeta , Jain Gaurav K. , Zaidi Syed Mohammad Abbas , Naseef Punnoth Poonkuzhi , Kuruniyan Mohamed S. , Zakir Foziyah
Published: October 2023

The oil of the Unani medicinal herb Baboona (Matricaria chamomilla) has shown potential in the management of pain. However, predicaments such as poor skin penetration, skin sensitization, liable to degradation, and volatile nature restrict its use. Therefore, our group for the first time has developed a carrier-based delivery system to facilitate the direct application of chamomile oil to the forehead. The developed nanogel was characterized for physical parameters such as compatibility, TEM, and stability studies. Further, it was also evaluated for pH, viscosity, spread ability, and extrudability, as well as through texture analyses, in vitro studies, and skin irritation tests. The formulation was successfully developed with all the necessary attributes. The in vitro studies revealed the enhanced skin penetration of chamomile oil nanogel. The in vivo studies were also performed in chemically induced pain models, mimicking migraine. The studies show significant improvement of the pain threshold for chamomile nanogel when compared to the positive control group and the results were comparable to marketed diclofenac formulations. Finally, the encapsulation into nanogel reduced the skin irritation property. The nanogel formulation showed promising effects in the pain management of migraine.
Transparent Sol–Gel-Based Coatings Reflecting Heat Radiation in the Near Infrared
Authors: Mayer-Gall Thomas , Kamps Leonie , Straube Thomas , Gutmann Jochen S. , Textor Torsten
Published: October 2023

Thin, flat textile roofing offers negligible heat insulation. In warm areas, such roofing membranes are therefore equipped with metallized surfaces to reflect solar heat radiation, thus reducing the warming inside a textile building. Heat reflection effects achieved by metallic coatings are always accompanied by shading effects as the metals are non-transparent for visible light (VIS). Transparent conductive oxides (TCOs) are transparent for VIS and are able to reflect heat radiation in the infrared. TCOs are, e.g., widely used in the display industry. To achieve the perfect coatings needed for electronic devices, these are commonly applied using costly vacuum processes at high temperatures. Vacuum processes, on account of the high costs involved and high processing temperatures, are obstructive for an application involving textiles. Accepting that heat-reflecting textile membranes demand less perfect coatings, a wet chemical approach has been followed here when producing transparent heat-reflecting coatings. Commercially available TCOs were employed as colloidal dispersions or nanopowders to prepare sol–gel-based coating systems. Such coatings were applied to textile membranes as used for architectural textiles using simple coating techniques and at moderate curing temperatures not exceeding 130 °C. The coatings achieved about 90% transmission in the VIS spectrum and reduced near-infrared transmission (at about 2.5 µm) to nearly zero while reflecting up to 25% of that radiation. Up to 35% reflection has been realized in the far infrared, and emissivity values down to ε = 0.5777 have been measured.
Right-to-Left Shunt Evaluation in Cardiac Patent Foramen Ovale Using Bubble Contrast Transcranial Color-Coded Doppler: A Cryptogenic Stroke Case
Authors: Ji Myeong-Hoon , Seoung Youl-Hun
Published: October 2023

Traditional diagnosis of patent foramen ovale (PFO) in the heart has involved the use of transcranial Doppler (TCD). However, TCD is essentially a blind test that cannot directly visualize the location of blood vessels. Since TCD relies on qualitative assessments by examiners, there is room for errors, such as misalignment of the ultrasound’s angle of incidence with the actual blood vessels. This limitation affects the reproducibility and consistency of the examination. In this study, we presented an alternative approach for assessing right-to-left shunt (RLS) associated with PFO using contrast transcranial color-coded Doppler (C-TCCD) with bubble contrast. The patient under consideration had been diagnosed with an ischemic stroke through imaging, but the subsequent cardiac work-up failed to determine the cause. Employing C-TCCD for RLS screening revealed a confirmed RLS of Spencer’s three grades. Subsequently, transesophageal echocardiography (TEE) was conducted to evaluate PFO risk factors, confirming an 8 mm PFO size, a 21 mm tunnel length, a hypermobile interatrial septum, and persistent RLS. The calculated high-risk PFO score was 4 points, categorizing it as a very high risk PFO. This case underscores the importance of C-TCCD screening in detecting RLS associated with PFO, especially in cryptogenic stroke patients, when identifying the underlying cause of ischemic stroke becomes challenging.
The “Criminal Shield”: Criminal Liability for Healthcare Professionals during the COVID-19 Pandemic
Authors: Bolino Giorgio , D’Antonio Gianpiero , Sorace Letizia , Fazio Nicola Di , Volonnino Gianpietro , Russa Raffaele La , Arcangeli Mauro , Frati Paola
Published: October 2023

The Sars-CoV-2 pandemic has had important economic, health, political, and jurisprudential implications all over the world. According to innovations already introduced by Law 24/2017, with Decree Law no. 44 of 1 April 2021 and the subsequent conversion law no. 71 of 2021, Italy is the only country in which ad hoc rules have been introduced to limit the professional liability of healthcare professionals during the health emergency. The “criminal shield” can be defined as the Legislator response to the extreme pressure on healthcare professionals during the pandemic.
Social and Preventive Factors That Explain Oral Health among Pregnant Women in the Canton of Cuenca, Ecuador
Authors: Lafebre-Carrasco Milton Fabricio , Arroyo-Menéndez Millán , Lozano-Paniagua David , Parrón-Carreño Tesifón , Nievas-Soriano Bruno José
Published: October 2023

(1) Background: pregnant women in underprivileged areas may face challenges that affect their oral health. The analysis of these issues such as toothaches or cavities, among others could be crucial for them. However, no studies have been conducted in Cuenca, Ecuador. Thus, this study aimed to create a model explaining how social factors and healthy habits impact oral health in Cuenca, Ecuador. (2) Methods: An observational study was performed using a questionnaire developed from scratch. Principal component factor analysis was performed to calculate the oral disease index based on the oral health issues reported by women during pregnancy. (3) Results: 1971 women participated in the research. In total, 88% reported at least one oral health problem, with cavities (34%) and bleeding gums (33%) as the most prevalent. The rate of preventive visits and frequent brushing were the two variables that most impacted the oral disease index. The consumption of sweets, age, and the belief that visiting the dentist harms their unborn child were also important factors. However, income, education, and ethnic background showed little to no effect. (4) Conclusions: The most beneficial determinants of oral health factors in pregnant women in Cuenca, Ecuador, are preventive dentist visits, frequent brushing, and a contained consumption of sweets. The main harmful factors are age and the misconception that dental visits can harm their unborn child. Surprisingly, income, education, and ethnic background have little effect. This study can be replicated in other countries and cultures.
The Relationship between Magnetic Resonance Imaging and Functional Tests Assessment in Patients with Lumbar Disk Hernia
Authors: Antohe Bogdan-Alexandru , Uysal Hüseyin Şahin , Panaet Adelina-Elena , Iacob George-Sebastian , Rață Marinela
Published: October 2023

Although magnetic resonance imaging (MRI) findings are the gold standard for diagnosing herniated discs, there are many limitations to accessing MRI scanning devices in practice. This study aimed to evaluate the relationship between functional tests (the visual analog scale (VAS), the SLUMP test, the Sciatica Bothersomeness Index (SBI), the Oswestry Disability Index (ODI), and the LASEGUE test and MRI findings (LSA, IVDH L4-L5, IVDH L5-S1, DHS L4-L5, and DHS L5-S1) in patients diagnosed with disc herniation. Seventy-eight patients who met the inclusion criteria participated in the study. Radiologists and neurologists evaluated patients with disc herniation. After the disc hernia diagnosis, the patients were referred to a physical therapist for conservative management of the disk hernia. The physical therapists assessed the pain level and performed functional tests on patients. All statistical analyses were performed using R (Core Team) software. The correlation between the measured variables was conducted using the Pearson and Spearman tests. The study results indicated statistically significant correlations between DHS L4-L5 vertebral level and functional tests (VAS: r = 0.49, p = 0.00; SBI: r = 0.44, p = 0.00; ODI: r = 0.49, p = 0.00; LASEGUE: r = −0.48, p = 0.00; SLUMP: r = 0.50, p = 0.00). In conclusion, physiotherapists may prefer functional tests to diagnose the herniated disc, and these functional tests may contribute to performing evidence-based assessments.
Parents, Pain, and Over-the-Counter Medicine: Athletes’ Perceived Alternatives to Prescription Opioid Misuse
Authors: Rey Rikishi T. , Pezalla Anne E.
Published: October 2023

Youth athletes are often prescribed opioids after sustaining sport-related injuries, and because of their age, warrior-like culture in sport, and the desire to perform at the highest level, they are at risk for opioid misuse. Due to the nature of sport, youth athletes are at a greater risk to misuse opioids, and although it does not always predict misuse in adults, it is almost always a precursor among those addicted to opioids in adulthood. This crisis has been classified by the National Center for Health Statistics at the Centers for Disease Control and Prevention as an epidemic, resulting in over a hundred deaths a day and has cost over a billion dollars. To better understand athletes’ experiences and use of opioids, the current study uses in-depth, semi-structured interviews with 35 current athletes and highlights their lived experiences with opioid use. Qualitative, line-by-line coding revealed three main themes: the protective role of parents, the teaching potential of athletes’ own pain, and the easy access to over-the-counter medication and supplements that allow athletes to address their pain or enhance their performance. The results highlight that youth athletes may not misuse opioids to the extent previously predicted by past research and provide insight into the opioid epidemic from a youth sporting perspective.
Association of Computer Vision Syndrome with Depression/Anxiety among Lebanese Young Adults: The Mediating Effect of Stress
Authors: Issa Rita , Sfeir Michel , Azzi Vanessa , Salameh Pascale , Akiki Maria , Akel Marwan , Hallit Souheil , Obeid Sahar , Malaeb Diana , Hallit Rabih
Published: October 2023

Computers have become indispensable in daily activities. With this excess use of electronics, computer vision syndrome (CVS), a highly prevalent condition, is associated with various symptoms. Although understanding the relationship between CVS and mental health has been reported, the impact of CVS has not been explored on more than one psychological aspect. We hypothesize that higher CVS symptoms could be associated with higher levels of anxiety and depression, mediated by higher stress. Therefore, the objective of this study was to determine the association between CVS and depression and anxiety among a sample of Lebanese young adults, along with evaluating the mediating effect of stress on these associations. Between August 2020 and April 2021, 749 participants completed an online questionnaire for this cross-sectional study. Females compared to males (Beta = 3.73) and those with CVS compared to those who did not (Beta = 3.14) were significantly associated with more anxiety, whereas having a university level of education compared to secondary or less (Beta = −3.02) was significantly associated with less anxiety. Females compared to males (Beta = 2.55) and those with CVS compared to those without (Beta = 2.61) were significantly associated with more depression, whereas being of an older age (Beta = −0.18) was significantly associated with less depression. Stress partially mediated the association between CVS and anxiety and between CVS and depression. More CVS was significantly associated with more stress (Beta = 3.05). Higher stress was significantly associated with more anxiety (Beta = 0.70) and depression (Beta = 0.71), whereas more CVS was significantly and directly associated with more anxiety (Beta = 3.14) and depression (Beta = 2.61). This study is the first worldwide to evaluate an association between CVS and mental health. Our results serve as a starting point for healthcare providers (psychiatrists and psychologists, most importantly) to look deeper into CVS when looking for reasons behind mental health issues. Further studies are warranted to confirm our results and look for more factors and mediators in such associations.