bluuebunny/crossref_metadata_2025 huggingface dataset:
Usability Evaluation of the Revised Color Me Healthy Symptom Assessment App: Perspectives of Children and Parents
Authors: Linder Lauri , Utendorfer Haley , Oliveros Brianna , Gilliland Sydney , Tiase Victoria L. , Altizer Roger
Published: October 2024

Background: The Color Me Healthy symptom reporting app was co-designed with school-age children with cancer, their parents, and clinicians. Preliminary studies demonstrated its feasibility and acceptability; however, children and parents identified the need for additional refinements. Methods: Guided by the Technology Acceptance Model and principles of user-centered design, this study supported refinements to the Color Me Healthy user interface and evaluation of its usability. As the programming team completed builds of the app, school-age children with cancer and their parents participated in cognitive walkthrough usability evaluations and qualitative interviews. Usability logs documented the completion of key tasks related to reporting pain and review of child-reported data. Parents completed the Technology Acceptance Model Perceived Usefulness Scale (TAM-PUS). Interview responses were analyzed using qualitative content analysis. Results: Fourteen children (median age 8.5 years; range 6–12) and 14 parents (median age 38.5 years; range 34–49) participated in one of three usability evaluation cycles. After the third cycle, children and parents navigated the app and completed key tasks independently. Median TAM-PUS scores were 6 (range 6–8), indicating high perceived usefulness. Qualitative analyses indicated that children regarded the app as easy and fun to use. Parents emphasized the app’s developmental relevance for their child and for themselves as the child’s caregiver. Conclusions: This study demonstrates the perceived usefulness and perceived ease of use of the revised Color Me Healthy app. Optimizing the usability of the Color Me Healthy app with attention to the user needs of children and parents positions the app for wider-scale clinical implementation.
Study of the Gendered Impacts of Climate Change in Bol, Lake Province, Chad
Authors: Djako Exaucé Gali , Mendy Evelyne , Ngaryamgaye Semingar , Klassou Komi Sélom , Chenal Jérôme
Published: October 2024

Climate change is a global phenomenon impacting ecosystems, economies, and livelihoods. This research carried out in Bol in the Lake Province of Chad, a region heavily affected by climate change, aims to analyze the gender-differentiated impacts of this phenomenon. It was carried out using the rapid analysis and participatory planning (RAPP) method and structural analysis for social systems (SAS2). Meteorological and socioeconomic data were collected through interviews, household surveys, and focus groups. The results indicate variability in rainfall, with a slight downward trend and an increase in temperature. The women identified an increase in the cost of living, human and material losses, warmer housing, and health problems as socioeconomic socioeconomic consequences of climate change. Their coping strategies include community self-help, humanitarian aid, and welfare activities. Obstacles to full participation in the search for solutions include access to education, low decision-making power, and political representation. This research enriches our understanding of the interactions between gender, climate change, adaptation, and inclusive policy importance.
A Comparison between Radar Variables and Hail Pads for a Twenty-Year Period
Authors: Rigo Tomeu , Farnell Carme
Published: October 2024

The time and spatial variability of hail events limit the capability of diagnosing the occurrence and stones’ size in thunderstorms using weather radars. The bibliography presents multiple variables and methods with different pros and cons. The studied area, the Lleida Plain, is annually hit by different hailstorms, which have a high impact on the agricultural sector. A rectangular distributed hail pad network in this plain has worked operationally since 2000 to provide information regarding different aspects of hail impact. Since 2002, the Servei Meteorològic de Catalunya (SMC) has operated a single-pol C-band weather radar network that volumetrically covers the region of interest. During these years, the SMC staff has been working on improving the capability of detecting hail, adapting some parameters and searching for thresholds that help to identify the occurrence and size of the stones in thunderstorms. The current research analyzes a twenty-year period (2004–2023) to provide a good picture of the hailstorms occurring in the region of interest. The main research result is that VIL (Vertically Integrated Liquid) density is a better indicator for hailstone size than VIL, which presents more uncertainty in discriminating different hail categories.
Is It Possible to Detect Return of Spontaneous Circulation during Chest Compression? Evaluation of a Novel Method: Carotid Artery Compression Ultrasound
Authors: Kanter Efe , Kayalı Ahmet , Çınaroğlu Osman Sezer , Yamanoğlu Adnan , Bora Ejder Saylav , Tekindal Mustafa Agah , Efgan Mehmet Göktuğ , Karakaya Zeynep , Topal Fatih Esad
Published: October 2024

Objectives: To evaluate the diagnostic accuracy of carotid artery compression using a point-of-care ultrasound probe (POCUS-CAC) in reducing pulse check times and facilitating the detection of the return of spontaneous circulation (ROSC) during cardiopulmonary resuscitation (CPR) compared to manual palpation (MP). The secondary aim of the study is to assess the ability of POCUS-CAC to detect ROSC during ongoing chest compressions. Methods: This prospective study was conducted in a tertiary emergency department between January and June 2023. During CPR, POCUS-CAC was performed by placing a linear ultrasound probe transversely on the lateral neck to assess the compressibility of the carotid artery. Complete compression of the artery without any visible pulsation indicated no ROSC, while resistance to compression or partial compression suggested the presence of ROSC. Simultaneously, another clinician performed manual palpation of the femoral artery. The primary outcome assessed in this study was comparing ROSC detection between POCUS-CAC and traditional methods, and the secondary outcome was comparing the time taken to detect ROSC with each method, and the ability to detect ROSC during ongoing chest compressions. Results: The study included 41 cardiac arrest patients and analyzed 496 MP pulse and 1984 POCUS-CAC checks. The mean time to identify a pulse using POCUS-CAC was significantly shorter, at 2.3 (0.5–7.8, SD ± 1.2, 95% CI [2.25, 2.35]) s, compared to 4.7 (2.0–10.5, SD ± 1.8, 95% CI [4.54, 4.86]) s with MP (p = 0.004). Additionally, 52.9% of ROSC cases were detected earlier using POCUS-CAC, even during ongoing chest compressions. The sensitivity of POCUS-CAC was 100% (95% CI [80.5–100%]) and the specificity was 87.5% (95% CI [67.6–97.3%]). The POCUS-CAC method required less than 5 s in 99.996% of cases. Conclusions: POCUS-CAC significantly reduces pulse check times and enhances the early detection of ROSC during CPR, offering a reliable and rapid alternative to traditional manual palpation methods in emergency settings.
Mistaken Identity: Misidentification of Other Vascular Structures as the Inferior Vena Cava and How to Avoid It
Authors: Zimmerman Josh , Morrissey Candice , Bughrara Nibras , Bronshteyn Yuriy S.
Published: October 2024

While point-of-care ultrasound (POCUS) of the inferior vena cava (IVC) is broadly perceived as having value in intravascular volume status assessment, this has not been borne out in large-scale meta-analyses containing heterogenous populations of acutely ill patients. While the limitations of IVC POCUS could be largely due to the complexity of the relationship between IVC appearance and volume status, another confounder not widely appreciated is the ease with which the aorta or right hepatic vein (RHV) can be mistaken for the IVC. While misidentification of the aorta as the IVC has been recognized elsewhere, misidentification of the RHV for the IVC has not and, in our experience, occurs frequently, even in the hands of experienced sonographers. We demonstrate how these errors occur and provide guidance on how to systematically avoid them.
Using Short Time Series of Monofractal Synthetic Fluctuations to Estimate the Foreign Exchange Rate: The Case of the US Dollar and the Chilean Peso (USD–CLP)
Authors: López Juan L. , Morales-Salinas David , Toral-Acosta Daniel
Published: October 2024

Short time series are fundamental in the foreign exchange market due to their ability to provide real-time information, allowing traders to react quickly to market movements, thus optimizing profits and mitigating risks. Economic transactions show a strong connection to foreign currencies, making exchange rate prediction challenging. In this study, the exchange rate estimation between the US dollar (USD) and the Chilean peso (CLP) for a short period, from 2 August 2021 to 31 August 2022, is modeled using the nonlinear Schrödinger equation (NLSE) and calculated with the fourth-order Runge–Kutta method, respectively. Additionally, the daily fluctuations of the current exchange rate are characterized using the Hurst exponent, H, and later used to generate short synthetic fluctuations to predict the USD–CLP exchange rate. The results show that the USD–CLP exchange rate can be estimated with an error of less than 5%, while when using short synthetic fluctuations, the exchange rate shows an error of less than 10%.
Study on Prediction and Response Model for Threat Diffusion Based on Multi-Step Reachability Matrix
Authors: Lee Jina , Jung Subong , Cheagal Daehoon , Jang Jisoo , Shin Dongkyoo
Published: October 2024

As the importance of defending against cyber attacks has increased, various studies have been conducted to analyze and utilize the reachability between hosts. Although this approach effectively explains asset-based threat responses by security personnel, it is limited as a means of strategic judgment by top decision makers considering the tasks of an organization in a large-scale network environment. The purpose of this study is to develop a method for simplifying the characteristics of the attack paths of a large number of hosts by projecting them to a higher-level organization and aiding in visualizing the impacts of threats. To achieve this, a methodology is presented that supports both strategic judgment by top decision makers, considering the tasks of lower-level organizational units, and asset-based responses. This is accomplished by analyzing asset-based impacts through the generation of a Multi-Step Reachability Matrix (MRM2) and the multi-threat synthesis of low-level threat diffusion paths at the asset level, while gradually abstracting the transition information of the corresponding threats to the higher-level organization. In this paper, the diffusion process is modeled through the connectivity between hosts, and it is expected that this approach will contribute to the development of a decision support model that meets the needs of both upper- and lower-level decision makers. This is achieved by reflecting a variety of factors that influence attack and defense. These factors include the importance of the organization’s mission or business to each asset, the criticality of the system function to which the asset belongs, the dependencies between assets, and the unique characteristics of the asset, including vulnerabilities, exploitation conditions, cyber resilience, and lifecycle costs.
A Corrective Controller for Improved Ratio-Based Frequency Support through Multiterminal High-Voltage Direct Current Grids
Authors: Vennelaganti Sai Gopal , Gharebaghi Sina , Chaudhuri Nilanjan Ray
Published: October 2024

A recently proposed droop controller design achieved approximate ratio-based frequency support through Multiterminal High-Voltage Direct Current (MTDC) grids connecting asynchronous AC areas. The design was performed via a reduced-order model, which neglects system losses. In this paper, to achieve improved tracking, a model-reference-estimation-based corrective control approach is presented, which estimates the differences between the reduced and actual models and compensates for the same. The sufficient condition for perfect ratio tracking by the proposed controller in the presence of modeling uncertainty is established. It is shown that a continuous sliding-mode controller that is robust to bounded modeling uncertainty takes the form of the PI compensator in the proposed corrective control. The region of stability of the proposed controller is established through root locus and numerical eigenvalue analyses. Finally, the effectiveness of this corrective strategy is illustrated through time-domain simulations performed in a full-order model, which is a detailed phasor-based differential-algebraic representation of the AC-MTDC grid.
A Control Strategy for Suppressing Zero-Crossing Current of Single-Phase Half-Bridge Active Neutral-Point-Clamped Three-Level Inverter
Authors: Lee Gi-Young , Kim Chul-Min , Han Jungho , Kim Jong-Soo
Published: October 2024

Multi-level inverters have characteristics suitable for high-voltage and high-power applications through various topology configurations. These reduce harmonic distortion and improve the quality of the output waveform by generating a multi-level output voltage waveform. In particular, an active neutral-point-clamped topology is one of the multi-level inverters advantageous for high-power and medium-voltage applications. It has the advantage of controlling the output waveform more precisely by actively clamping the neutral point using an active switch and diode. However, it has a problem, which is that an unwanted zero-crossing current may occur if an inaccurate switching signal is applied at the time when the polarity of the output voltage changes. In this paper, a control strategy to suppress the zero-crossing current of a single-phase half-bridge three-level active neutral-point-clamped inverter is proposed. The operating principle of a single-phase half-bridge three-level active neutral-point-clamped inverter is identified through an operation mode analysis. In addition, how the switching signal is reflected in an actual digital signal processor is analyzed to determine the situation in which the zero-crossing current occurs. Through this, a control strategy capable of suppressing zero-crossing current is designed. The proposed method prevents a zero-crossing current by appropriately modifying the update timing of reference voltages at the point where the polarity of the output changes. The validity of the proposed method is verified through simulation and experiments. Based on the proposed method, the total harmonic distortion of the output current is significantly reduced from 12.15% to 4.59% in a full-load situation.
Feedforward Control Strategy of a DC-DC Converter for an Off-Grid Hydrogen Production System Based on a Linear Extended State Observer and Super-Twisting Sliding Mode Control
Authors: Kang Zhongjian , Li Longchen , Zhang Hongyang
Published: October 2024

With the large-scale integration of renewable energy into off-grid DC systems, the stability issues caused by their fluctuations have become increasingly prominent. The dual active bridge (DAB) converter, as a DC-DC converter suitable for high power and high voltage level off-grid DC systems, plays a crucial role in maintaining and regulating grid stability through its control methods. However, the existing control methods for DAB are inadequate: linear control fails to meet dynamic response requirements, while nonlinear control relies on detailed model structures and parameters, making the control design complex and less accurate. To address this issue, this paper proposes a feedforward control strategy for a DC-DC converter in an off-grid hydrogen production system based on a linear extended state observer (LESO) and super-twisting sliding mode control (STSMC). Firstly, a reduced-order simplified model of the DAB was constructed through the structure of DAB. Then, based on the reduced-order simplified model, a feedforward control based on LESO and STSMC was designed, and its stability was analyzed. Finally, a simulation comparison of PI, LESO + terminal sliding mode control (TSMC), and LESO + STSMC control methods was conducted in a DC off-grid hydrogen production system. The results verified the proposed control method’s enhancement of the DAB’s rapid dynamic response capability and the system’s transient stability.
Current-Sensorless Method for Photovoltaic System Using Capacitor Charging Characteristics
Authors: Ki Song-Do , Choi Cheol-Woong , Ko Jae-Sub , Kim Dae-Kyong
Published: October 2024

The installed capacity of photovoltaic (PV) systems has increased significantly over the past few decades, and related technologies have advanced significantly. The electrical characteristics of a PV system change nonlinearly based on irradiation and temperature, and the I–V characteristic curve, expressed in terms of the voltage and current, is used to verify these characteristics. The maximum power point tracking (MPPT) control method was applied to maximize the performance of the PV system. Voltage and current sensors are used to control the I–V characteristic curve and MPPT; however, current sensors have various disadvantages in terms of price and system configuration. Therefore, this study presents a method for calculating the current of a PV system using the charging characteristics of a capacitor. The method presented in this paper analyzes the I–V characteristic curve’s qualities through simulations and experiments under normal, shaded, and mismatched conditions of the PV module.
Applying Circular Thermoeconomics for Sustainable Metal Recovery in PCB Recycling
Authors: Torrubia Jorge , Torres César , Valero Alicia , Valero Antonio , Mahmud Parvez Ashak , Sajjad Mohsin , García Paz Felipe
Published: October 2024

The momentum of the Fourth Industrial Revolution is driving increased demand for certain specific metals. These include copper, silver, gold, and platinum group metals (PGMs), which have important applications in renewable energies, green hydrogen, and electronic products. However, the continuous extraction of these metals is leading to a rapid decline in their ore grades and, consequently, increasing the environmental impact of extraction. Hence, obtaining metals from secondary sources, such as waste electrical and electronic equipment (WEEE), has become imperative for both environmental sustainability and ensuring their availability. To evaluate the sustainability of the process, this paper proposes using an exergy approach, which enables appropriate allocation among co-products, as well as the assessment of exergy losses and the use of non-renewable resources. As a case study, this paper analyzes the recycling process of waste printed circuit boards (PCBs) by disaggregating the exergy cost into renewable and non-renewable sources, employing different exergy-based cost allocation methods for the mentioned metals. It further considers the complete life cycle of metals using the Circular Thermoeconomics methodology. The results show that, when considering the entire life cycle, between 47% and 53% of the non-renewable exergy is destroyed during recycling. Therefore, delaying recycling as much as possible would be the most desirable option for minimizing the use of non-renewable resources.
Comparison of Optimal SASS (Sparsity-Assisted Signal Smoothing) and Linear Time-Invariant Filtering Techniques Dedicated to 200 MW Generating Unit Signal Denoising
Authors: Łukaniszyn Marian , Lewandowski Michał , Majka Łukasz
Published: October 2024

Performing reliable calculations of power system dynamics requires accurate models of generating units. To be able to determine the parameters of the models with the required precision, a well-defined testing procedure is used to record various unit transient signals. Unfortunately, the recorded signals usually contain discontinuities, which complicates the removal of the existing harmonic interferences and noise. A set of four transient signals recorded during typical disturbance tests of a 200 MW power-generating unit was used as both training and research material for the signal denoising/interference removal methods compared in the paper. A systematic analysis of the measured transient signals was conducted, leading to the creation of a coherent mathematical model of the signals. Next, a method for denoising power-generating unit transient signals is proposed. The method is based on Sparsity-Assisted Signal Smoothing (SASS) combined with optimization algorithms (simulated annealing and Nelder-Mead simplex) and is called an optimal SASS method. The proposed optimal SASS method is compared to its direct Linear Time-Invariant (LTI) competitors, such as low-pass and notch filters. The LTI methods are based on the same filter types (Butterworth filters) and zero-phase filtering principle as the SASS method. A set of specially generated test signals (based on a developed mathematical model of the signals) is used for the performance evaluation of all presented filtering methods. Finally, it is concluded that—for the considered class of signals—the optimal SASS method might be a valuable noise removal technique.
Sustainable Valorization of CO2 through Nuclear Power-to-X Pathways
Authors: Ramirez-Corredores Maria Magdalena
Published: October 2024

Some of the issues concerning energy security and climate change can be addressed by employing nuclear power (NP) to supply the energy required for the conversion of carbon dioxide (CO2) into chemicals, products, and materials. Nuclear energy represents a neutral carbon source that can be generated sustainably, reliably, and consistently. Nuclear power plants (NPPs) could supply energy in the form of heat, electricity, and ionizing radiation to drive CO2 chemical reactions underpinning NP-to-X type of pathways. CO2 conversion processes are either commercially available or emerging technologies at different developmental maturity stages. This work reviews the published literature (articles and patents) that reports R&D results and the understanding and development of chemical reactions and processes, as well as the efforts in integrating NPPs and chemical processes (CPs). As will be made evident, a new industrial era for the manufacturing of decarbonized chemicals, products, and materials will be possible by developing and implementing new (more energy- and carbon-efficient) processes responding to the NP-to-X pathways. This new decarbonizing platform not only contributes to achieving net zero goals but also broadens the NPP product beyond electricity.
Probiotic Milk Enriched with Protein Isolates: Physicochemical, Organoleptic, and Microbiological Properties
Authors: Pawlos Małgorzata , Szajnar Katarzyna , Kowalczyk Magdalena , Znamirowska-Piotrowska Agata
Published: October 2024

Incorporating plant protein isolates into milk can enhance probiotic culture growth by providing essential nutrients and altering the physicochemical properties of fermented milk. This study investigated the effects of adding 1.5% or 3.0% soy, pea, and whey protein isolates on the growth of Lacticaseibacillus casei and Lactobacillus johnsonii monocultures, as well as the physicochemical (acidity, syneresis, color) and organoleptic properties of fermented milk during 21 days of refrigerated storage. The results showed that 1.5% SPI and WPI did not significantly alter milk acidity compared to controls. Still, pH increased with 1.5% and 3.0% PPI. Storage time significantly affected pH in L. casei fermented milk. The initial addition of WPI at 1.5% and 3.0% reduced syneresis in L. casei fermented milk compared to other samples. Color components were significantly influenced by isolates. Initial L. casei cell counts were lower with SPI (LCS1.5 and LCS3) and 1.5% PPI (LCP1.5) compared to controls. Increasing isolate concentration from 1.5% to 3% enhanced L. johnsonii growth in WPI-milk but reduced L. casei in LCW3 compared to LCW1.5. Only increased pea protein concentration significantly increased L. casei growth. Probiotic populations generally were reduced during extended storage. Moreover, isolates impacted milk organoleptic evaluation. This research demonstrates the potential of protein isolates in creating health-promoting and diverse fermented products and offers insights into their interaction with probiotic cultures to advance functional food technologies.
Research on Engineering the Saccharomyces uvarum for Constructing a High Efficiency to Degrade Malic Acid and Low Yield of Diacetyl Biosynthesis Pathway
Authors: Li Ping , Song Wenjun , Wu Shankai , Wang Yumeng , Fan Yicong , Zhang Cuiying
Published: October 2024

Diacetyl is a flavor compound in wine with a low threshold (1–2 mg/L). It is produced during alcoholic fermentation (AF) Saccharomyces and malolactic fermentation (MLF) initiated by lactic acid bacteria (LAB). Whereas, the environment after AF suppresses the normal metabolism of LAB after AF. Researchs have shown the influence on diacetyl mechanisms of the genes ILV2, ILV6, ILV3, ILV5, BDH1, BDH2, and gene aldB from Lactobacillus plantarum in Saccharomyce uvarum WY1. While we found that the diacetyl contents produced by mutants after MLF (Co-fermentation and Seq-fermentation) were significantly improved compared to AF alone. Moreover, the genes mae1 and mae2 from S. pombe, and gene mleS from L. lactis exhibited significant effect on deacidification in our previous study, but the diacetyl of the mutants showed obvious improvement in this study. Thus the effects of association mutation of genes (ILV2, ILV6, ILV3, ILV5, BDH1, BDH2, aldB, mae1, and mleS) on deacidification, diacetyl and other flavors (organic acids, higher alcohols and esters) metabolism in S. uvarum after AF were detected in the study. Among all the mutants, strains V6AmS, V635mS, and V6B12mS showed the most favorable results. Specifically, the L-malic acid contents decreased to 1.26 g/L, 1.18 g/L, and 1.19 g/L, respectively. Concurrently, diacetyl levels were reduced by 52.56%, 61.84%, and 65.31%. The production of n-propanol increased by 18.84%, 20.89%, and 28.12%, whereas isobutanol levels decreased by 37.01%, 42.36%, and 44.04%, and isoamyl alcohol levels decreased by 19.28%, 19.79%, and 16.74%, compared to the parental strain WY1. Additionally, the concentration of lactate ester in the wine increased to 13.162 mg/L, 14.729 mg/L, and 14.236 mg/L, respectively.
Comprehensive Assessment of Anti-Inflammatory, Antiproliferative and Neuroprotective Properties of Cauliflower after Dehydration by Different Drying Methods
Authors: Vega-Galvez Antonio , Pasten Alexis , Uribe Elsa , Mejias Nicol , Araya Michael , Vidal René L. , Valenzuela-Barra Gabriela , Delporte Carla
Published: October 2024

Cauliflower (Brassica oleraceae L. var. Botrytis Linnaeus) has various health benefits due to its rich bioactive compound content. However, this fresh vegetable faces challenges related to its perishability and short shelf life. This study explores the effect of five drying methods, namely vacuum drying (VD), convective drying (CD), infrared drying (IRD), low-temperature vacuum drying (LTVD) and vacuum freeze-drying (VFD), on the bioactive compounds and health-promoting properties of cauliflower. Analyses of amino acids, hydroxycinnamic acid and its derivatives, glucosinolates, and isothiocyanates, as well as evaluations of their anti-inflammatory, antiproliferative, and neuroprotective properties, were conducted based on these five drying methods. The results revealed that samples treated with VFD and IRD had a higher content of amino acids involved in GSL anabolism. Moreover, VFD samples retained hydroxycinnamic acid derivatives and glucosinolates to a greater extent than other methods. Nonetheless, the CD and VD samples exhibited higher antiproliferative and neuroprotective effects, which were correlated with their high sulforaphane content. Overall, considering the retention of most bioactive compounds from cauliflower and the topical inflammation amelioration induced in mice, VFD emerges as a more satisfactory option.
Metabolomics Revealed the Effects of Momordica charantia L. Saponins on Diabetic Hyperglycemia and Wound Healing in Mice
Authors: Zhao Dengdeng , Luo Zixuan , Li Shasha , Liu Shuwen , Wang Chan
Published: October 2024

Momordica charantia L. saponins (MCS) may promote wound-healing properties but the underlying mechanisms are unclear. This study aimed to examine the effects and mechanisms of MCS on diabetic wounds. The results have shown that higher MCS intake lowered fasting blood glucose levels, serum lipids, and lipopolysaccharides in diabetic mice. MCS-treated diabetic mice exhibited faster wound healing than the diabetic control groups. After three days, the diabetic control groups exhibited a wound area reduction of only 19.3%, while a 39.75% reduction was observed following high-dose MCS treatment. Five potential biomarkers were screened in the metabolomics study. The results revealed that MCS mainly regulated glycerophospholipid metabolism, fructose and mannose metabolism, steroid hormone biosynthesis, pyrimidine metabolism, and the Krebs cycle, thus affecting wound healing. Overall, MCS could not only exert a hypoglycemic effect but also promote diabetic wound healing, making it a potential treatment option for diabetes-related wounds.
Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory
Authors: Makubyane Kgothatso , Maposa Daniel
Published: October 2024

This study investigates wind speed prediction using advanced machine learning techniques, comparing the performance of Vanilla long short-term memory (LSTM) and convolutional neural network (CNN) models, alongside the application of extreme value theory (EVT) using the r-largest order generalised extreme value distribution (GEVDr). Over the past couple of decades, the academic literature has transitioned from conventional statistical time series models to embracing EVT and machine learning algorithms for the modelling of environmental variables. This study adds value to the literature and knowledge of modelling wind speed using both EVT and machine learning. The primary aim of this study is to forecast wind speed in the Limpopo province of South Africa to showcase the dependability and potential of wind power generation. The application of CNN showcased considerable predictive accuracy compared to the Vanilla LSTM, achieving 88.66% accuracy with monthly time steps. The CNN predictions for the next five years, in m/s, were 9.91 (2024), 7.64 (2025), 7.81 (2026), 7.13 (2027), and 9.59 (2028), slightly outperforming the Vanilla LSTM, which predicted 9.43 (2024), 7.75 (2025), 7.85 (2026), 6.87 (2027), and 9.43 (2028). This highlights CNN’s superior ability to capture complex patterns in wind speed dynamics over time. Concurrently, the analysis of the GEVDr across various order statistics identified GEVDr=2 as the optimal model, supported by its favourable evaluation metrics in terms of Akaike information criteria (AIC) and Bayesian information criteria (BIC). The 300-year return level for GEVDr=2 was found to be 22.89 m/s, indicating a rare wind speed event. Seasonal wind speed analysis revealed distinct patterns, with winter emerging as the most efficient season for wind, featuring a median wind speed of 7.96 m/s. Future research could focus on enhancing prediction accuracy through hybrid algorithms and incorporating additional meteorological variables. To the best of our knowledge, this is the first study to successfully combine EVT and machine learning for short- and long-term wind speed forecasting, providing a novel framework for reliable wind energy planning.
Biomass Gasification as a Scalable, Green Route to Combined Heat and Power (CHP) and Synthesis Gas for Materials: A Review
Authors: Lackner Maximilian , Fei Qiang , Guo Shuqi , Yang Ning , Guan Xiaoping , Hu Peng
Published: October 2024

The high externalized and still partly unknown costs of fossil fuels through air pollution from combustion, and their limited resources have caused mankind to (re)turn to renewable sources such as wind, solar, and biomass to meet its energy needs. Converting biomass to synthesis gas is advantageous since it can utilize a wide variety of (waste) feedstocks to obtain an energetic and versatile product at low cost in large quantities. Gasification is no new technology; yet in recent years, biomass gasification has attracted significant attention. Due to the non-depletable nature of agricultural waste and similar biomass side streams, which have little value and can bring environmental problems when mismanaged such as methane emissions, it is possible to obtain cheap electrical or thermal energy through the gas produced with high efficiencies. Combined heat and power (CHP) is the preferred use case, and recently the focus has moved to polygeneration, e.g., to make value-added products from the synthesis gas. Fischer–Tropsch synthesis from coal-derived syngas is now being complemented by the gas fermentation of biobased synthesis gas, where microorganisms yield materials from CO/H2 (and CO2) in an anaerobic process and from CH4/O2 in an aerobic process. Syngas methanation offers an alternative route to produce synthetic natural gas (SNG, or bio-SNG) as additional feedstock for gas fermentation. Materials made from syngas are decoupled from primary agricultural operations and do not compete with feed and food production. Due to the ample raw material base for gasification, which can basically be all kinds of mostly dry biomass, including waste such as municipal solid waste (MSW), syngas-derived products are highly scalable. Amongst them are bioplastics, biofuels, biobased building blocks, and single-cell protein (SCP) for feed and food. This article reviews the state-of-the-art in biomass gasification with a spotlight on gas fermentation for the sustainable production of high-volume materials.
Medicinal Herbal Extracts: Therapeutic Potential in Acute Lung Injury
Authors: Lee Jae-Won , Lee Hee Jae , Yun Seok Han , Lee Juhyun , Kim Hyueyun , Kang Ha Yeong , Ahn Kyung-Seop , Chun Wanjoo
Published: October 2024

Acute lung injury (ALI) is induced by pneumonia, sepsis and other conditions. The disease characteristics include severe lung inflammation, in which various cells, such as epithelial cells, macrophages, and neutrophils, play a pivotal role. Corticosteroids and antibiotics are used to treat ALI; however, they may have side effects. Cumulative data confirm that traditional herbal medicines exert therapeutic effects against endotoxin-induced inflammatory responses in both in vitro and in vivo ALI studies. This review briefly describes the anti-ALI effects of medicinal herbal extracts (MHEs) and their molecular mechanisms, especially focusing on Toll-like receptor 4/nuclear factor kappa B cell pathways, with a brief summary of in vitro and in vivo ALI experimental models. Thus, the present review highlights the excellent potential of MHEs for ALI therapy and prevention and may also be useful for the establishment of in vitro and in vivo ALI models.
HPV Proteins as Therapeutic Targets for Phytopharmaceuticals Related to Redox State in HPV-Related Cancers
Authors: Cruz-Gregorio Alfredo , Aranda-Rivera Ana Karina , Pedraza-Chaverri José
Published: October 2024

The high-risk Human Papillomavirus (HR-HPV) is the causal agent of different human cancers such as cervical, vulvar, and oropharynx cancer. This is because persistent HR-HPV infection alters several cellular processes involved in cell proliferation, apoptosis, immune evasion, genomic instability, and cellular transformation. The above is mainly due to the expression of early expression proteins of HR-HPV, which interact and alter these processes. HR-HPV proteins have even been shown to regulate redox state and mitochondrial metabolism, which has been suggested as a risk factor for cancer development. Redox state refers to a balance between reactive oxygen species (ROS) and antioxidants. Although ROS regulates cell signaling, high levels of ROS generate oxidative stress (OS). OS promotes damage to DNA, proteins, carbohydrates, and lipids, which causes mutation accumulation and genome instability associated with cancer development. Thus, OS has been associated with the establishment and development of different types of cancer and has recently been proposed as a cofactor in HR-HPV-associated cancers. However, OS also induces cell death, which can be used as a target for different molecules, such as phytochemicals. Furthermore, phytochemicals target HPV oncoproteins E6 and E7, causing their degradation. Because phytochemicals could induce OS and target HPV oncoproteins, we hypothesize that these compounds induce cell death in HPV-associated cancers. Since the redox state is crucial in developing, establishing, and clearing HR-HPV-associated cancer, this review focuses on evidence for using phytochemicals as therapeutic agents that target HPV proteins and the redox state to induce the elimination of HPV-related cancers.
Running Plus Strength Training Positively Affects Muscle Strength and Quality in Both Younger (Below 50 Years Old) and Older (Above 50 Years Old) Women
Authors: Vivan Lavínia , dos Anjos Souza Vinícius Ribeiro , Seffrin Aldo , de Lira Claudio Andre Barbosa , Vancini Rodrigo Luiz , Weiss Katja , Knechtle Beat , Andrade Marilia Santos
Published: October 2024

Background/Objectives: Sarcopenia is a muscular disease characterized by loss of muscular strength and function, affecting mainly women, and associated with increased mortality risk. The aim of this study was to compare active women with inactive women of different age groups regarding muscle mass, strength, and muscle quality. Methods: This study included 147 women (85 runners and 62 inactive), divided into <50 and ≥50 years old. Participants were evaluated for knee flexor and extensor peak torque (PT), body composition, and training habits. Results: For knee extensor muscles, there was an age group effect (F(2.146) = 40.5; p < 0.001) on absolute PT (Nm); an age group effect (F(2.146) = 44.1; p < 0.001) and a physical activity group effect (F(2.146) = 113.0; p < 0.001) on PT adjusted by body mass (Nm/kg); and an age group effect (F(2.146) = 36.9; p < 0.001) and a physical activity group effect (F(2.146) = 6.1; p = 0.014) on PT adjusted by lean mass (Nm/kgLM). There was no interaction effect. Conclusion: In both age groups, active women had greater strength and higher muscle quality than inactive women, but the difference in strength, muscle mass, and muscle quality between younger and older women were the same among runners and inactive women.
Influence of Walking, Manual Techniques, and Elastic Resistance Exercise on Shoulder Posture in Healthy Elderly Individuals
Authors: Novotová Klára , Pavlů Dagmar
Published: October 2024

In this study, we investigated the effect of regular walking and its combination with manual techniques/resistance exercise. The position of the shoulder girdle was assessed using the acromion-wall distance (AD). The intervention took place twice a week for 4 weeks. A total of 88 seniors over the age of 60 successfully completed the study. The results showed a statistically significant improvement of AD in the left shoulder within the group that underwent walking combined with resistance exercise. The remaining groups did not show any statistically significant change in AD. Background: The world population is rapidly aging; therefore, it is necessary to respond to this challenge in time. One of the typical involutional signs of old age is a hunched posture combined with a forward position of the shoulder girdle. This posture negatively impacts various bodily functions, postural stability, and strain on the musculoskeletal system. Objectives: We aimed to evaluate the effect of walking and walking combined with manual therapy/resistance exercise on scapular positioning in healthy elderly individuals. Methods: Participants of experimental groups underwent a 4-week training session that involved walking and manual techniques/resistance training applied 2x/week. Participants of the control group maintained their usual daily habits. Results: Our results showed statistically significant improvement in scapular positioning of the left shoulder in participants who underwent regular walking combined with resistance exercise training. Conclusions: These results suggest that regular walking combined with resistance training, when properly dosed, may beneficially influence scapular positioning in healthy elderly individuals.
Management of a Patient with Cardiovascular Disease Should Include Assessment of Primary and Secondary Immunodeficiencies: Part 1—Primary Immunodeficiencies
Authors: Napiórkowska-Baran Katarzyna , Doligalska Agata , Drozd Magdalena , Czarnowska Marta , Łaszczych Dariusz , Dolina Marcin , Szymczak Bartłomiej , Schmidt Oskar , Bartuzi Zbigniew
Published: October 2024

Background: Cardiovascular diseases are some of the most prevalent chronic diseases that generate not only high social but also economic costs. It is becoming increasingly crucial to take into account inborn errors of immunity (IEIs, formerly known as primary immunodeficiencies (PIDs)) and secondary immunodeficiencies (SIDs) in the diagnostic and therapeutic management of cardiac patients. The number of diseases classified as IEIs is on the rise, with a current total of 485. It is essential to pay attention not only to already confirmed conditions but also to symptoms suggestive of immunodeficiencies. Objectives: The aim of this article is to present IEIs with cardiovascular symptoms that may cause or exacerbate cardiovascular disease, as well as diagnostic and therapeutic procedures. Results: It is becoming increasingly evident that immunodeficiencies can be responsible for certain cardiovascular conditions, their hastened progression, and difficulties in their control. Conclusions: Early detection of deficiencies improves not only the quality and longevity of patients, but also allows for better control of cardiovascular diseases and even prevention of their occurrence.
Management of a Patient with Cardiovascular Disease Should Include Assessment of Primary and Secondary Immunodeficiencies: Part 2—Secondary Immunodeficiencies
Authors: Napiórkowska-Baran Katarzyna , Doligalska Agata , Drozd Magdalena , Czarnowska Marta , Łaszczych Dariusz , Dolina Marcin , Szymczak Bartłomiej , Schmidt Oskar , Bartuzi Zbigniew
Published: October 2024

Background: Cardiovascular diseases are among the most common chronic diseases, generating high social and economic costs. Secondary immunodeficiencies occur more often than primary ones and may result from the co-occurrence of specific diseases, treatment, nutrient deficiencies and non-nutritive bio-active compounds that result from the industrial nutrient practices. Objectives: The aim of this article is to present selected secondary immunodeficiencies and their impact on the cardiovascular system. Results: The treatment of a patient with cardiovascular disease should include an assess-ment for immunodeficiencies, because the immune and cardiovascular systems are closely linked. Conclusions: Immune system dysfunctions can significantly affect the course of cardiovascular diseases and their treatment. For this reason, comprehensive care for a patient with cardiovascular disease requires taking into account potential immunodeficiencies, which can have a significant impact on the patient’s health.
Impact of Multicomponent Training Frequency on Health and Fitness Parameters in Postmenopausal Women: A Comparative Study
Authors: Martínez-Carbonell Eduardo , López-Vivancos Abraham , Romero-Arenas Salvador , Borges-Silva Fernanda , Marcos-Pardo Pablo J. , González-Gálvez Noelia , Orquín-Castrillón Fco. Javier
Published: October 2024

Background: Menopause induces physiological changes in women, including increased risks of obesity, cardiovascular diseases, and muscle loss, which can be mitigated by physical exercise. This study aimed to evaluate the effects of a 12-week multicomponent exercise programme, performed 2 or 3 days per week, on health and fitness parameters in postmenopausal women. Methods: Eighty-three postmenopausal women (aged 50–65 years) were randomly assigned to three groups: control group (CG, n = 27), 2 days/week exercise group (EG2, n = 28), and 3 days/week exercise group (EG3, n = 28). The intervention included strength, balance, aerobic, and flexibility exercises. Anthropometric measurements (body weight, BMI, waist-to-hip ratio, lean body mass, body fat percentage), lipid profile, and isometric strength were assessed pre- and post-intervention. Data were analysed using a repeated-measures ANOVA, with p < 0.05 considered significant. Results: Significant reductions in body weight, BMI, and waist-to-hip ratio were observed in EG2 and EG3 compared to CG. Lean body mass increased significantly in both EG2 (p < 0.001, ES = 1.37) and EG3 (p < 0.001, ES = 1.50). EG3 showed a greater reduction in body fat percentage than EG2 (p = 0.049). Strength and balance improved significantly in both experimental groups compared to CG, with no significant differences between EG2 and EG3. EG3 also showed superior improvements in lipid profile compared to EG2 and CG. Conclusion: A multicomponent exercise programme, particularly with higher frequency (3 days per week), improves body composition, strength, balance, and lipid profile in postmenopausal women.
The Impact of Growing Conditions on the Shelf Life and Storage Rot of cv. Rubin Apples
Authors: Laužikė Kristina , Gudžinskaitė Ieva , Dėnė Lina , Samuolienė Giedrė
Published: October 2024

The prevalence of apples as the most widely consumed fruit globally does not exempt them from storage-related issues, resulting in substantial harvest losses. A prominent concern is the development of rot due to various factors during storage. This research endeavors to examine the influence of agrotechnological methods on the longevity of apples and the incidence of rot throughout storage. Apple trees (Malus domestica Borkh. cv. Rubin) grafted on dwarfing rootstocks P60 were planted in 2010 in single rows with a spacing of 1.25 m between trees and 3.5 m between rows. Eight combinations of different growth control measures (manual, mechanical pruning, spraying, trunk cutting) were selected for the experiment. The implementation of mechanical pruning, in conjunction with trunk cutting and Ca-prohexadione spraying, as well as summer pruning, detrimentally impacted the shelf life of apples. Examination of the storage period revealed a loss of 33–40% of the crop due to rot. Conversely, manual pruning sustained a consistent level of phenolic compounds throughout the storage period. Other pruning methods resulted in a notable increase in phenolic compounds, ranging from 67% to a two-fold rise compared to the compounds present at harvest. However, the integration of mechanical pruning with subsequent manual pruning not only significantly augmented the yield of apples but also yielded a shelf life akin to that of manually pruned apples. Following the analysis of the results, it is advisable to conduct mechanical pruning of the apples intended for storage along with supplementary manual pruning.