bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comprehensive Survey on Machine Learning Methods for Handover Optimization in 5G Networks
Authors: Thillaigovindhan Senthil Kumar , Roslee Mardeni , Mitani Sufian Mousa Ibrahim , Osman Anwar Faizd , Ali Fatimah Zaharah
Published: August 2024

One of the key features of mobile networks in this age of mobile communication is seamless communication. Handover (HO) is a critical component of next-generation (NG) cellular communication networks, which requires careful management since it poses several risks to quality-of-service (QoS), including a decrease in average throughput and service disruptions. Due to the dramatic rise in base stations (BSs) and connections per unit area brought about by new fifth-generation (5G) network enablers, such as Internet of things (IoT), network densification, and mm-wave communications, HO management has become more challenging. The degree of difficulty is increased in light of the strict criteria that were recently published in the specifications of 5G networks. In order to address these issues more successfully and efficiently, this study has explored and examined intelligent HO optimization strategies using machine learning models. Furthermore, the significant goal of this review is to present the state of cellular networks as they are now, as well as to talk about mobility and home office administration in 5G alongside the overall features of 5G networks. This work presents an overview of machine learning methods in handover optimization and of the various data availability for evaluations. In the final section, the challenges and future research directions are also detailed.
The Analysis and Research of the Integrated, 30 A MOSFET Gate Driver Dedicated to High-Frequency Applications
Authors: Legutko Piotr
Published: August 2024

This paper presents basic properties and laboratory tests of a commercial integrated high-frequency MOSFET gate driver IXRFD631 operating in the frequency range up to 30 MHz. The MOSFET driver has been tested for two operating states: in the idle state (no load) and at the gate load of a DE275-501N16A series MOSFET transistors. The obtained laboratory results were compared with three other commercial integrated drivers: DEIC420, DEIC515 and IXRFD630 (which are the base structures), and two previous solutions from the author (4xUCC27516 and 8xUCC27526). Additionally, this paper presents the characteristics of power losses and efficiency, measurements of switching and propagation times of the tested gate drivers. Also, this paper presents the output voltage waveforms of the integrated driver IXRFD631 for two operating states. The integrated circuit IXRFD631 of the gate driver is characterized by an efficiency of up to 70% for the tested frequency range, the power losses for two operating states (at idle state—15 W, at gate MOSFET load—43 W) and switching times of 2 ns for an operating frequency of 30 MHz.
A Dynamic Event-Based Recursive State Estimation for Mobile Robot Localization
Authors: Zhu Li , Gao Ruifeng , Huang Cong , Shi Quan , Shi Zhenquan
Published: August 2024

This paper deals with the recursive state estimation issue for mobile robot localization under a dynamic event-based mechanism. To enhance the utilization of communication resources, a dynamic event-based transmission protocol is utilized to reduce unnecessary measurement transmissions by introducing an auxiliary dynamical variable to adjust threshold parameters. The primary objective of this paper is to develop a dynamic event-based recursive state estimation scheme for the mobile robot localization problem in the presence of the impact of the dynamic event-based mechanism such that an upper bound on the estimation error covariance is firstly guaranteed by using mathematical induction and then is locally minimized by virtue of appropriately choosing the gain parameters. Furthermore, the boundedness analysis of the estimation error is conducted by establishing an evaluation criteria in the mean-squared sense. Finally, an experimental example is conducted to verify the feasibility of the proposed mobile robot localization strategy.
Determination of the Diffusion Coefficients of Binary CH4 and C2H6 in a Supercritical CO2 Environment (500–2000 K and 100–1000 atm) by Molecular Dynamics Simulations
Authors: Wang Chun-Hung , Manikantachari (Raghu) K. R. V. , Masunov Artëm E. , Vasu Subith S.
Published: August 2024

The self-diffusion coefficients of carbonaceous fuels in a supercritical CO2 environment provide transport information that can help us understand the Allam Cycle mechanism at a high pressure of 300 atm. The diffusion coefficients of pure CO2 and binary CO2/CH4 and CO2/C2H6 at high temperatures (500 K~2000 K) and high pressures (100 atm~1000 atm) are determined by molecular dynamics simulations in this study. Increasing the temperature leads to an increase in the diffusion coefficient, and increasing the pressure leads to a decrease in the diffusion coefficients for both methane and ethane. The diffusion coefficient of methane at 300 atm is approximately 0.012 cm2/s at 1000 K and 0.032 cm2/s at 1500 K. The diffusion coefficient of ethane at 300 atm is approximately 0.016 cm2/s at 1000 K and 0.045 cm2/s at 1500 K. The understanding of diffusion coefficients potentially leads to the reduction in fuel consumption and minimization of greenhouse gas emissions in the Allam Cycle.
A Review of Non-Destructive Testing for Lithium Batteries
Authors: Gao Junfu , Wang Sikai , Hao Feng
Published: August 2024

With the rapid development of mobile devices, electronic products, and electric vehicles, lithium batteries have shown great potential for energy storage, attributed to their long endurance and high energy density. In order to ensure the safety of lithium batteries, it is essential to monitor the state of health and state of charge/discharge. There are commonly two methods for measuring lithium batteries: destructive testing and non-destructive testing. Destructive testing is not suitable for in situ or non-destructive analysis as it can cause irreversible deformation or damage to the battery. Herein, this review focuses on three non-destructive testing methods for lithium batteries, including ultrasonic testing, computer tomography, and nuclear magnetic resonance. Ultrasonic testing is widely used in crack and fatigue damage detection. X-ray computer tomography and neutron tomography have gained increasing attention in monitoring the health status of lithium batteries. Nuclear magnetic resonance can be used to conduct in situ and ex situ detection. In this review, non-destructive testing of lithium batteries is summarized, including the current status, achievements, and perspectives of this technology.
Barriers and Facilitators to Binge-Watching Using the Theoretical Domains Framework
Authors: Kwok Ally , Younas Fatima , Gutman Leslie Morrison , Vlaev Ivo
Published: August 2024

Using the Theoretical Domains Framework (TDF), this rapid review coded the barriers and facilitators to binge-watching and identified corresponding behaviour change techniques (BCTs) for intervention purposes. Twenty-nine studies reporting influences on binge-watching fulfilled the inclusion criteria and passed quality appraisal checks. Data were extracted and coded accordingly, as informed by the TDF. Findings indicate that most facilitators focused on the goals of binge-watching, such as escapism, and the social influences, such as companionship, while most barriers related to behavioural regulation, such as self-control and self-regulation. BCTs included ‘Goal setting (outcome)’, ‘Social comparison’, and ‘Self-monitoring of behaviour’. Results suggest intervention strategies targeting facilitators to binge-watching by incorporating the identified BCTs may succeed in inhibiting binge-watching behaviours. However, accounting for the intensity of binge-watching was not an objective of the present review; therefore, future research should take into account the varying levels of engagement in binge-watching when developing interventions.
Video Game Addiction in Young People (8–18 Years Old) after the COVID-19 Pandemic: The Grey Area of Addiction and the Phenomenon of “Gaming Non-Pathological Abuse (GNPA)”
Authors: Piccininno Domenico , Perrotta Giulio
Published: August 2024

Introduction: In the literature, video game addiction in youths is correlated with dysfunctional symptoms of anxiety, emotional disorders, and mood disorders, and the pandemic period of 2020–2022 has favored the aggravation of this behavioral addiction. Therefore, we identified the need to analyze this phenomenon with an emphasis on the risks and correlates related to deviance and maladjustment from a prospective perspective, seeking to understand the impact of the individual variables examined. Aim: To demonstrate whether the condition of “gaming non-pathological abuse” (GNPA) promotes psychopathological features of clinical interest, in the absence of a diagnosis of “gaming disorder” (GD). Materials and methods: A search performed on PubMed and administration of an ad hoc sociological questionnaire were used to investigate individual variables of criminological interest in a representative population sample (531 males/females, 8–18 years old, M: 14.4, SD: 2.5). Results: Statistical analysis showed that after the pandemic period, digital video game addiction was reinforced, feeding psychopathological traits consistent with anxiety, emotional disorders, and mood disorders. Variables correlated with impulsive, aggressive, and violent behavior related to age, gender, socio-environmental and economic background, and the severity of digital video game addiction. Conclusions: In the youth population (8–18 years), “gaming non-pathological abuse” (GNPA) is related to aggressive, impulsive and violent behaviors that foster phenomena of social maladjustment and deviance, especially in individuals living in disadvantaged or otherwise complex socio-economic and family contexts. Looking forward, the study of structural and functional personality profiles is essential in order to anticipate and reduce the future risk of psychopathological and criminal behavior.
Improving the Monitoring and Control of Egg Vitality of Lymantria dispar Linnaeus 1758 Using an Innovative Device and Procedure for Removing Egg Hairs
Authors: Stojanović Dejan V. , Ranđelović Dragana , Ivetić Jelena , Pap Predrag , Zlatković Milica , Đilas Milutin , Orlović Saša
Published: August 2024

Spongy moth (Lymantria dispar Linnaeus 1758) populations have the potential to reach outbreak levels, causing disruptions to forest ecosystems across Eurasia and North America. Continuous monitoring of the size and health of the spongy moth population in the egg stage is important for managing population outbreaks. Current methods include counting eggs within egg masses using manual methods. This study introduces an innovative solution aimed at optimizing the prediction of biotic disturbances and preventing the potential risks associated with spongy moth population outbreaks. The challenges and constraints related to the process of hair removal from spongy moth eggs have been effectively addressed through the development of a device powered by a torque-generating unit. This study aims to (1) introduce a novel device designed for the removal of hairs from spongy moth (L. dispar) eggs; (2) introduce a new hair removal procedure; and (3) empirically demonstrate the benefits of the introduced innovations. The introduced device and the procedure enable a significantly expedited diagnosis of the potential for a population outbreak in the current year, with the potential for widespread utilization. This invention enhances our understanding of predicting biotic disorders and facilitates the rapid assessment of the risk of their occurrence.
High Impacts of Invasive Weed Lantana camara on Plant Community and Soil Physico-Chemical Properties across Habitat Types in Central Nepal
Authors: Paudel Chandra Kumari , Tiwari Achyut , Baniya Chitra Bahadur , Shrestha Bharat Babu , Jha Pramod Kumar
Published: August 2024

Although the effects of invasive alien plants on natural ecosystems are well known, the effects of specific plant species can vary across habitat types and disturbance intensity. This study was carried out to analyze the effects of Lantana camara on associated vegetation and soil physico-chemical properties at invaded and non-invaded sites across three different habitat types (forest edge, fallow land, and roadside) in central Nepal. We sampled 50 pairs of 5 m × 5 m (for shrub species) and 1 m × 1 m (for herbs species) plots at invaded and non-invaded sites in each habitat and recorded community variables for each species within the sampling plots for both wet (monsoon) and dry (pre-monsoon) seasons. Further, we collected soil samples from each quadrat and determined the soil physico-chemical properties. We recorded 137 species of flowering plants (119 from non-invaded and 97 from invaded plots) and classified them in accordance with life form/habit. In invaded sites, we found a significant decline in species diversity as indicated by the Simpson and Shannon diversity indices. Specifically, L. camara reduced the species richness, Simpson index, and Shannon diversity index by 36.84%, 11.84%, and 40.21%, respectively. Soil nutrients such as total nitrogen, soil organic carbon, and available phosphorus were significantly higher in invaded sites than non-invaded ones except for available potassium and soil pH. This study provided evidence that Lantana L. camara has a substantial impact on the understory plant community assemblage and the physico-chemical properties of soil. The results suggest that the protection of native plant community requires management of L. camara by implementing appropriate measures.
The Many Shades of the Vegetation–Climate Causality: A Multimodel Causal Appreciation
Authors: Shao Yuhao , Hagan Daniel Fiifi Tawia , Li Shijie , Zhou Feihong , Zou Xiao , Cabral Pedro
Published: August 2024

The causal relationship between vegetation and temperature serves as a driving factor for global warming in the climate system. However, causal relationships are typically characterized by complex facets, particularly within natural systems, necessitating the ongoing development of robust approaches capable of addressing the challenges inherent in causality analysis. Various causality approaches offer distinct perspectives on understanding causal structures, even when experiments are meticulously designed with a specific target. Here, we use the complex vegetation–climate interaction to demonstrate some of the many facets of causality analysis by applying three different causality frameworks including (i) the kernel Granger causality (KGC), a nonlinear extension of the Granger causality (GC), to understand the nonlinearity in the vegetation–climate causal relationship; (ii) the Peter and Clark momentary conditional independence (PCMCI), which combines the Peter and Clark (PC) algorithm with the momentary conditional independence (MCI) approach to distinguish the feedback and coupling signs in vegetation–climate interaction; and (iii) the Liang–Kleeman information flow (L-K IF), a rigorously formulated causality formalism based on the Liang–Kleeman information flow theory, to reveal the causal influence of vegetation on the evolution of temperature variability. The results attempt to capture a fuller understanding of the causal interaction of leaf area index (LAI) on air temperature (T) during 1981–2018, revealing the characteristics and differences in distinct climatic tipping point regions, particularly in terms of nonlinearity, feedback signals, and variability sources. This study demonstrates that realizing a more holistic causal structure of complex problems like the vegetation–climate interaction benefits from the combined use of multiple models that shed light on different aspects of its causal structure, thus revealing novel insights that are missing when we rely on one single approach. This prompts the need to move toward a multimodel causality analysis that could reduce biases and limitations in causal interpretations.
The Impact of Forest Management Inventory Factors on the Ecological Service Value of Forest Water Conservation Based on Machine Learning Algorithms
Authors: Chen Zhefu , Lü Yong , Liu Yang , Chen Duanlv , Peng Baofa
Published: August 2024

Based on forest management inventory data, this study applies machine learning algorithms to explore the relationships between forest water conservation capacity and forest management inventory factors, thus providing more extensive insights into forest water conservation services. By integrating the InVEST model and machine learning algorithms, this study identifies the key factors related to water conservation services based on forest management inventory factors and investigates the differences in and accuracy of forest water conservation models using the random forest algorithm. The results are as follows: (1) The determination coefficients (R2) of the three machine learning models range from 0.508 to 0.869, with root mean square errors (RMSEs) ranging from 28.380 to 69.339. The performance of these models is generally satisfactory, with the random forest algorithm showing superior results. (2) By leveraging the advantages of the three machine learning algorithms in handling categorical data, this study analyzes the contributions of forest management inventory factors, revealing the impact mechanisms of forest-type water conservation services. (3) The integration of machine learning algorithms allows for better processing of the scale and correlation of independent variables, providing more objective information on the main controlling factors of forest water conservation. (4) Predictions of water conservation capacity using machine learning are consistent with that of the InVEST model. The water conservation per unit area shows a variation trend as follows: slow-growing broadleaf forests > shrub forests > middle-growing broadleaf forests > cunninghamia lanceolata forests > fast-growing broadleaf forests > pine forests > bamboo forests. (5) Since this study considers only the factors available in the forest management inventory, which does not encompass all relevant influencing factors, it is difficult to fully address the complexities of how forest water conservation services interact with forest structure. Therefore, further research is needed to investigate the intrinsic mechanisms underlying the interactions between water conservation and forest management inventory factors.
Assessing the Reach and Engagement Effectiveness of Disseminating Food and Nutrition Information on Social Media Channels
Authors: Avelino Daniela C. , Lin Carolyn A. , Waring Molly E. , Barbosa Anna J. , Duffy Valerie B.
Published: August 2024

This study utilized Facebook and Instagram as communication channels for disseminating evidence-based food and nutrition information to low-income adults. From February 2021 to October 2022, 442 identical posts were shared across both platforms for audience reach and engagement. Posts were categorized in two ways: hedonic and three levels of utilitarian (informative, convenience, utility), based on widely applied social media uses and effects theory (Uses and Gratifications Perspective); and food/nutrition topics (dietary guidance, mealtime behaviors, recipes, food resource management, health behaviors, and community building). From predominantly image-based posts (82.6%), reach and engagement for Instagram (136,621 versus 6096, respectively) outperformed Facebook (83,275 versus 1276, respectively). Analysis of covariance of rank-order reach and engagement metrics (likes, replies, shares) showed Facebook engagement was consistent across hedonic and utilitarian categories while Instagram showed highest reach and engagement for utilitarian posts, especially those emphasizing food affordability. Facebook and Instagram differed in which food/nutrition topics achieved maximal reach and engagement. Fifteen posts were randomly selected for qualitative analysis to identify features reflecting engagement levels. Low-engagement posts featured low-color-contrast or less-appealing images, especially on Instagram. This study offers insights for practitioners and researchers aiming to use social media to promote healthy food and nutrition.
Sustainable Transportation Solutions for Intelligent Mobility: A Focus on Renewable Energy and Technological Advancements for Electric Vehicles (EVs) and Flying Cars
Authors: Kashem Mohammad Abul , Shamsuddoha Mohammad , Nasir Tasnuba
Published: August 2024

(1) Introduction: Transportation logistics play a pivotal role in facilitating both individual mobility and supply chain operations on a global scale. However, conventional transportation systems have contributed significantly to urban congestion and environmental degradation. In response to these challenges, there is growing momentum to investigate the potential of renewable energy to power electric vehicles (EVs) and flying automobiles, aiming to reduce fossil fuel dependence and carbon emissions. (2) Objectives: By analyzing key drivers and opportunities for integrating flying vehicles into existing infrastructure through dynamic modeling, this study seeks to accelerate the transition to sustainable transportation. (3) Methodology: A mixed-method approach, combining literature review and causal loop diagram analysis, is employed to understand the factors influencing EV and flying car adoption. (4) Results: Findings highlight the significant potential of renewable energy in reducing emissions and reliance on fossil fuels through widespread EV and flying vehicle adoption. The major drivers and challenges in infrastructure, safety, and airspace management are also identified. In addition, this research emphasizes the importance of sustainable transportation in addressing urban congestion, pollution, and energy security. (5) Conclusions: By leveraging renewable energy and embracing technological advancements, a low-carbon future for transportation can be achieved, benefiting both the environment and society.
Transcriptional Modulation During Photomorphogenesis in Rice Seedlings
Authors: Gupta Parul , Jaiswal Pankaj
Published: August 2024

Light is one of the most important factors regulating plant gene expression patterns, metabolism, physiology, growth, and development. To explore how light may induce or alter transcript splicing, we conducted RNA-Seq-based transcriptome analyses by comparing the samples harvested as etiolated seedlings grown under continuous dark conditions vs. the light-treated green seedlings. The study aims to reveal differentially regulated protein-coding genes and novel long noncoding RNAs (lncRNAs), their light-induced alternative splicing, and their association with biological pathways. We identified 14,766 differentially expressed genes, of which 4369 genes showed alternative splicing. We observed that genes mapped to the plastid-localized methyl-erythritol-phosphate (MEP) pathway were light-upregulated compared to the cytosolic mevalonate (MVA) pathway genes. Many of these genes also undergo splicing. These pathways provide crucial metabolite precursors for the biosynthesis of secondary metabolic compounds needed for chloroplast biogenesis, the establishment of a successful photosynthetic apparatus, and photomorphogenesis. In the chromosome-wide survey of the light-induced transcriptome, we observed intron retention as the most predominant splicing event. In addition, we identified 1709 novel lncRNA transcripts in our transcriptome data. This study provides insights on light-regulated gene expression and alternative splicing in rice.
The “Final Rays” of a Setting Sun: Lenka Reinerová and the Legacy of “Prague German Literature”
Authors: Balcarová Markéta
Published: August 2024

Lenka Reinerová is considered a contemporary witness of both the 20th and 21st centuries and the last German writer in Prague. Indeed, she is the last known prose writer from Prague who wrote in German and boasts a long list of famous predecessors, such as Franz Kafka, Max Brod, E. E. Kisch and others. Interestingly, Reinerová did not only earn a place among the Prague German literature writers because of her mother tongue. In her memoirs, she also engages with literary and academic discourse on the German-language literature coming from Prague. The following article aims to describe this continuity in more detail.
Exploring Colour Palette in Pottery from Western Anatolia and East Asia—Colour Schemes to Inspire
Authors: Panagopoulou Adamantia P. , Vroom Joanita , Hein Anno , Kilikoglou Vassilis
Published: August 2024

In the present case study, the manufacturing technology for glazed pottery was investigated, with particular focus on the great variety of colours and glaze recipes used in Western Anatolia and East Asia and observed in finds from rescue excavation sites in Greece. An assemblage of 40 ceramic fragments dating from the Late Byzantine and Islamic to the Ottoman/Venetian periods was examined for their decoration, surface treatment, and production technology. The peculiarities of the colour recipes applied on the glazed pottery of different assumed origins of production were investigated, focusing on glaze technology and employing colourants. This was achieved by the use of an analytical workflow that considered the compositional details of pigments, slip coatings, and glazes. The chemical evaluation was carried out utilising X-Ray Fluorescence Spectroscopy (pXRF) and Scanning Electron Microscopy with Energy Dispersive X-Ray Spectroscopy (SEM-EDS). Raman Spectroscopy provided information about the compositional variation, and the microscopic examination via Optical Microscopy (OM) and Scanning Electron Microscopy (SEM-EDS) yielded information about the sample stratigraphy of the examined ceramic sections. Through a wide range of colour and glaze recipes, this study of glazed ceramics was able to define and express the essential elements of each pottery workshop’s perception of colour.
Structure and Trends in Climate Parameters of Wine-Growing Regions in Slovenia
Authors: Vršič Stanko , Pulko Borut , Perko Andrej
Published: August 2024

This study examined the structure and trends of climate parameters important for grape production from 1952 to 2022 in the wine-growing regions of Podravje, Posavje, and Primorska in Slovenia. Average and extreme temperature and precipitation data from six meteorological stations in three wine-growing regions were divided into annual and growing seasons. The results show that in the period 1991–2022, there was a warming in the growing season in all regions by 1.4–1.7 °C, except the southern part of Primorska (Koper station) 0.6 °C, compared to the reference period 1961–1990. The heat accumulation indices (GDDs and HI) increased significantly, which is mainly due to the increase in the maximum temperature in the growing season temperature (GST max) and the number of days with Tmax > 30 °C (NDT30). The NDT30 increased the most, by a factor of more than four. In the reference period (1961–1990), however, the trend in the number of hot days was even slightly negative. The mean seasonal temperature rose to around 17 °C in regions with a continental climate and to around 19 °C in the Mediterranean region, which could be reflected in the earlier ripening of the grapes. The trends show a decrease in total annual precipitation (AP) after 1991, but this was significant only at one inland location (Maribor), while the total precipitation during the growing season (GSP) decreased significantly at three locations (Maribor, Bilje, and Koper).
The Mitigating Effects of Biostimulant Amendments on the Response of Purslane Plants Grown under Drought Stress Conditions
Authors: Mohamed Mostafa H. M. , Ali Maha Mohamed Elsayed , Zewail Reda M. Y. , Liava Vasiliki , Petropoulos Spyridon A.
Published: August 2024

Portulaca oleracea L. is a wild edible plant with high potential for exploitation in commercial cropping systems due to its nutritional value and great adaptability to abiotic stress conditions. The present study aimed to investigate the response of purslane plants grown under drought stress conditions (100%, 80%, and 60% of field capacity (FC)) and the implementation of biostimulant amendments (control without amendment, plant growth-promoting rhizobacteria (PGPR), mycorrhiza, and effective microorganisms (EMs)) for two consecutive years. In the two-year experiment, the greatest height was recorded in plants grown under no-stress conditions and inoculated with PGPR. The highest branch number, and fresh and dry weight of aboveground and underground parts were observed under no-stress conditions at the mycorrhiza treatment. Moreover, mycorrhiza application in plants growing under 100% FC resulted in the highest N, P, total carbohydrates, and vitamin C and the lowest nitrate and proline contents in leaves. Purslane plants grown under 100% FC and inoculated with PGPR treatment resulted in the highest K and total chlorophyll leaf contents. Additionally, growing plants under mild drought stress (80% FC) combined with biostimulant application (e.g., inoculation with mycorrhiza, PGPR, and EM) may improve plant growth characteristics and mitigate negative stress effects. In general, the applied biostimulant amendments alleviated the adverse effects of drought on plant growth and leaf chemical composition indicating the importance of sustainable strategies to achieve high yield and sufficient quality within the climate change scenario.
Changes in Spectral Reflectance, Photosynthetic Performance, Chlorophyll Fluorescence, and Growth of Mini Green Romaine Lettuce According to Various Light Qualities in Indoor Cultivation
Authors: Lee Joo Hwan , Kwon Yong Beom , Choi In-Lee , Yoon Hyuk Sung , Kim Jidong , Kim Yongduk , Kang Ho-Min
Published: August 2024

Light quality can be stated to be the identity of an artificial light source, and although the response of light quality may vary depending on the crop, the effect is clearly visible and can produce various results depending on the combination of an artificial light source. This study investigated the spectral reflectance, photosynthetic performance, and chlorophyll fluorescence of mini green romaine lettuce based on light quality. Most parameters related to spectral reflectance showed the best results under blue light, and photosynthetic performance was more effective with mixed light than with single-colored light, among which blue + red (BR)-LED was the most suitable. Red light was ineffective, showing mostly low results in parameters of spectral reflectance and photosynthetic performance. In the case of chlorophyll fluorescence, the light quality influenced photomorphogenesis, resulting in increased leaf length and width with R- and quantum dot (QD)-LED, which expanded the leaf area and allowed for more external light to be captured (ABS/RC and TRo/RC). However, the ratio of electronized energy (ETo/RC) was low, and the amount of energy dissipated as heat (DIo/RC) was high. Consequently, the degree of electron acceptor reduction and overall photosynthetic performance (PIABS and PItotal) were lower compared to other light qualities. Additionally, the contrasting results of QD-LED and BR-LED were attributed to the form of red light and the presence or absence of far-red light when comparing spectra. Principal component analysis also clearly distinguished light qualities for photosynthesis and growth. Growth was increased by red (R)- and QD-LED, while photosynthetic performance was increased by BR- and blue (B)-LED.
A Retrospective Study: Evaluating the Impact of the COVID-19 Pandemic on Inflammatory Markers in Hospitalized Patients
Authors: Elnagi Elmoeiz A. , Al-Maqati Thekra N. , Maawadh Rawan M. , AlBahrani Salma , Al Khalaf Faisal Salem , Alzahrani Faisal M. , Nazzal Wael , Alanazi Maha , Abdali Abdullah S. , Al Atawi Amjad Saleh , Al-Jamea Lamiaa H. , Alshehri Ahmad Mohammad , ALshammari Adnan Awad , Suliman Rania Saad , Al Bassam Ibrahim
Published: August 2024

Background: The COVID-19 pandemic has had a significant impact globally, and understanding the relationship between inflammatory markers and disease progression is crucial for effective management. This retrospective study aimed to examine the association between various inflammatory markers, such as C-reactive protein (CRP), the erythrocyte sedimentation rate (ESR), lactate dehydrogenase (LDH), D-dimer, ferritin, and procalcitonin (PCT), and the characteristics of disease progression and outcomes in individuals affected by COVID-19. Methods: This study collected raw data from 470 patients who tested positive for SARS-CoV-2 using RT-PCR. Results: The logistic regression analysis revealed that elevated LDH levels were associated with male gender, ICU admission, low oxygen saturation (O2 < 93%), the need for mechanical ventilation, death, and the presence of lung infiltrates. Higher D-dimer levels were associated with older age, diabetes mellitus, cardiac disease, and low oxygen saturation. Ferritin levels were significantly associated with older age, ICU admission, low oxygen saturation, mechanical ventilation, and lung infiltrates. In contrast, CRP was only significant regarding lung infiltrates and procalcitonin levels were not significantly associated with any of the examined factors. Conclusion: This study highlights the importance of monitoring key inflammatory markers, such as LDH, D-dimer, and ferritin, as they are significantly associated with the severity of COVID-19 illness. These findings can inform clinical decision-making and guide the development of targeted interventions to improve patient outcomes.
Role of COVID-19 Vaccine in the Management of Gynecologic Oncology Lymphadenopathies
Authors: Fernandez Sanahuja Laura , Miralpeix Ester , Solé Sedeño Josep Maria , Baucells Marta , Fabregó Berta , Sierra Ana , Mancebo Gemma
Published: August 2024

Background: This study aimed to evaluate the incidence of lymphadenopathies after COVID-19 vaccination and their impact on the clinical management of gynecologic oncology patients. Methods: A retrospective observational study was conducted involving patients who underwent abdominopelvic or thoracoabdominopelvic CT scans during diagnosis or follow-up. Patients were classified into a vaccinated group (Vac group) and a non-vaccinated group (NoVac group). The radiological appearance of lymphadenopathies was categorized as low or high risk of malignancy, and management strategies were recorded as standard management or additional assessment. Results: 75 patients were included, with 44 in the Vac group and 31 in the NoVac group. The incidence of lymphadenopathies was similar between the groups: 34.1% in the Vac group and 32.3% in the NoVac group (p = 0.868). High-risk lymphadenopathies were observed in 20.4% of the Vac group and 22.6% of the NoVac group, while low-risk lymphadenopathies were seen in 13.6% of the Vac group and 9.7% of the NoVac group (p = 0.691). Standard management was the most common approach, used in 80.0% of the Vac group and 100.0% of the NoVac group (p = 0.25). Conclusions: COVID-19 vaccine does not increase the incidence of lymphadenopathies in imaging tests of gynecological cancer patients.
Effects of a Single Session of Mindfulness and Compassion on Skin Temperature in Breast Cancer Survivors
Authors: Rodríguez David A. , Martínez Nadia , Tepepa Flores Li Erandi , Domínguez Benjamín , Cortés Patricia , Chávez Ana L.
Published: August 2024

Previous studies have suggested that mindfulness programs can be useful, in a significant sector of the population, to reduce stress when practiced for at least 8 weeks. The objective of the present investigation was to explore the effect of a single session of mindfulness practice in reducing stress in female cancer survivors. Two repeated measures studies were applied; in the first one, it was performed individually, while in the second one, it was performed in a group. Psychosocial measures were administered, and skin temperature was recorded as a marker of autonomic nervous activity. The results indicate that only when the mindfulness exercise was presented did the skin temperature increase (p < 0.05), with a large effect size (d > 0.8) during compassion, suggesting sympathetic decline. Furthermore, the psychosocial functioning of the group of female cancer survivors was like that of the non-clinical population. The data are discussed in the context of Polyvagal Theory, a theoretical model of biopsychosocial functioning, and evidence is provided on the effect of mindfulness and compassion on reducing stress and inducing positive affect in female cancer survivors.
Impact of Smoking and Obesity on the Selected Peptide Hormones and Metabolic Parameters in the Blood of Women with Polycystic Ovary Syndrome—Preliminary Study
Authors: Niepsuj Justyna , Piwowar Agnieszka , Franik Grzegorz , Bizoń Anna
Published: August 2024

We investigated the effects of tobacco smoke exposure and abnormal body weight on selected peptide hormones and their association with metabolic and hormonal disorders in women with polycystic ovary syndrome (PCOS). The study group included 88 women with PCOS and 28 women without the disease. In women with PCOS, chemerin, lipocalin, and apelin concentrations were influenced by overweight and obesity status, with the highest concentrations observed in those with a body mass index (BMI) ≥ 30.0. Exposure to tobacco smoke significantly increased only lipocalin-2 concentration. The disease itself did not affect the concentrations of chemerin, lipocalin, and apelin. Additionally, we found a positive correlation between chemerin concentration and fasting glucose, fasting insulin, and triglycerides levels, while a negative correlation was observed with high-density lipoprotein (HDL-C) concentration. In the smoking subgroup, chemerin concentration was positively correlated with free testosterone concentration and the free androgen index and negatively associated with sex hormone-binding globulin concentration. Our findings indicate that abnormal body weight has a stronger impact than tobacco smoke exposure on metabolic and hormonal disorders in women with PCOS, highlighting the important role of weight control in such individuals. However, smoking appears to be an additional factor that intensifies hormonal disorders associated with adipose tissue.
Nano-Based Drug Approaches to Proliferative Vitreoretinopathy Instead of Standard Vitreoretinal Surgery
Authors: Sorrentino Francesco Saverio , Gardini Lorenzo , Culiersi Carola , Fontana Luigi , Musa Mutali , D’Esposito Fabiana , Surico Pier Luigi , Gagliano Caterina , Zeppieri Marco
Published: August 2024

Proliferative vitreoretinopathy (PVR) has traditionally been managed with vitreoretinal surgery. Although there have been several recent innovations in this surgery to make the retinal approach as uninvasive as possible, the outcomes remain unsatisfactory. Significant complications remain and the complexity of the surgical approach is challenging. The focus of this review was to investigate and discuss the effectiveness of nanomedicine, featuring a wide range of drugs and molecules, as a novel potential treatment for PVR. To date, ocular drug delivery remains a significant issue due to the physiological and anatomical barriers, dynamic or static, which prevent the entry of exogenous molecules. We tried to summarize the nanotechnology-based ophthalmic drugs and new nanoparticles currently under research, with the intention of tackling the onset and development of PVR. The purpose of this review was to thoroughly and analytically examine and assess the potential of nano-based techniques as innovative strategies to treat proliferative vitreoretinopathy (PVR). This study aimed to emphasize the breakthroughs in nanomedicine that provide promising therapeutic options to enhance the results of vitreoretinal surgery and halt disease progression, considering the complexity and difficulty of PVR treatment. The future directions of the nanoparticles and nanotherapies applied to PVR highlight the importance of investing in the development of better designs and novel ophthalmic formulations in order to accomplish a mini-invasive ocular approach, replacing the standard-of-care vitreoretinal surgery.
Recombinant Subunit Vaccine Candidate against the Bovine Viral Diarrhea Virus
Authors: Avello Verónica , Salazar Santiago , González Eddy E. , Campos Paula , Manríque Viana , Mathieu Christian , Hugues Florence , Cabezas Ignacio , Gädicke Paula , Parra Natalie C. , Acosta Jannel , Sánchez Oliberto , González Alaín , Montesino Raquel
Published: August 2024

Multivalent live-attenuated or inactivated vaccines are often used to control the bovine viral diarrhea disease (BVD). Still, they retain inherent disadvantages and do not provide the expected protection. This study developed a new vaccine prototype, including the external segment of the E2 viral protein from five different subgenotypes selected after a massive screening. The E2 proteins of every subgenotype (1aE2, 1bE2, 1cE2, 1dE2, and 1eE2) were produced in mammalian cells and purified by IMAC. An equimolar mixture of E2 proteins formulated in an oil-in-water adjuvant made up the vaccine candidate, inducing a high humoral response at 50, 100, and 150 µg doses in sheep. A similar immune response was observed in bovines at 50 µg. The cellular response showed a significant increase in the transcript levels of relevant Th1 cytokines, while those corresponding to the Th2 cytokine IL-4 and the negative control were similar. High levels of neutralizing antibodies against the subgenotype BVDV1a demonstrated the effectiveness of our vaccine candidate, similar to that observed in the sera of animals vaccinated with the commercial vaccine. These results suggest that our vaccine prototype could become an effective recombinant vaccine against the BVD.
Different Proteomic Profiles Regarding Antihypertensive Therapy in Preeclampsia Pregnant
Authors: Pinto-Souza Caroline C. , Kaihara Julyane N. S. , Nunes Priscila R. , Mastella Moises H. , Rossini Bruno C. , Cavecci-Mendonça Bruna , Cavalli Ricardo de Carvalho , dos Santos Lucilene D. , Sandrim Valeria C.
Published: August 2024

Preeclampsia (PE) is a hypertensive pregnancy syndrome associated with target organ damage and increased cardiovascular risks, necessitating antihypertensive therapy. However, approximately 40% of patients are nonresponsive to treatment, which results in worse clinical outcomes. This study aimed to compare circulating proteomic profiles and identify differentially expressed proteins among 10 responsive (R-PE), 10 nonresponsive (NR-PE) patients, and 10 healthy pregnant controls (HP). We also explored correlations between these proteins and clinical data. Plasma protein relative quantification was performed using mass spectrometry, followed by bioinformatics analyses with the UniProt database, PatternLab for Proteomics 4.0, and MetaboAnalyst software (version 6.0). Considering a fold change of 1.5, four proteins were differentially expressed between NR-PE and R-PE: one upregulated (fibronectin) and three downregulated (pregnancy-specific beta-1-glycoprotein 1, complement C4B, and complement C4A). Between NR-PE and HP, six proteins were differentially expressed: two upregulated (clusterin and plasmin heavy chain A) and four downregulated (apolipoprotein L1, heparin cofactor II, complement C4B, and haptoglobin-related protein). Three proteins were differentially expressed between R-PE and HP: one downregulated (transthyretin) and two upregulated (apolipoprotein C1 and hemoglobin subunit beta). These findings suggest a complex interplay of these proteins involved in inflammatory, immune, and metabolic processes with antihypertensive therapy responsiveness and PE pathophysiology.
A Novel Application of Virus Like Particles in the Hemagglutination Inhibition Assay
Authors: El-Husseiny Mohamed H. , Pushko Peter , Tretyakova Irina , Hagag Naglaa M. , Abdel-Mawgod Sara , Shabaan Ahmed , Bakry Neveen R. , Arafa Abdel Satar
Published: August 2024

The hemagglutination inhibition (HI) assay is a traditional laboratory procedure for detection and quantitation of serum antibodies of hemagglutinating viruses containing the hemagglutinin (HA) gene. The current study aimed to investigate the novel use of virus like particles (VLP) as an antigen for the HI assay. VLPs were prepared from a strain of H5N1 using a baculovirus expression system. The VLPs were characterized using the hemagglutination test, Sodium dodecyl-sulfate polyacrylamide gel electrophoresis (SDS-PAGE), Western blotting, and transmission electron microscopy. The comparative HI assay was performed using three different seed antigens: A/chicken/Mexico/232/94 (H5N2), A/chicken/Egypt/18-H/09(H5N1) and A/goose/Guangdong/1/1996(H5N1). The HI assay of serum antibody titrations using homologous antigens to these vaccinal seeds were compared to the VLP’s antigens for the same serum. The HI titers were logically relevant to the similarity between VLP antigens and vaccinal seeds, indicating the VLPs behave similarly to the standard HI assay which uses inactivated whole virus as an antigen. VLPs could be considered as an alternative to the HI assay antigen as they show a relatedness between the similarity with vaccinal seed and serum antibodies. Compared to typical entire H5N1 viral antigen prepared in SPF eggs that require proper inactivation to avoid any public health risk, VLPs prepared in tissue culture, plants or insect cells are a safe, inexpensive and scalable alternative to inactivated whole virus antigen.
Primary Progressive Multiple Sclerosis—A Key to Understanding and Managing Disease Progression
Authors: Sempik Izabela , Dziadkowiak Edyta , Moreira Helena , Zimny Anna , Pokryszko-Dragan Anna
Published: August 2024

Primary progressive multiple sclerosis (PPMS), the least frequent type of multiple sclerosis (MS), is characterized by a specific course and clinical symptoms, and it is associated with a poor prognosis. It requires extensive differential diagnosis and often a long-term follow-up before its correct recognition. Despite recent progress in research into and treatment for progressive MS, the diagnosis and management of this type of disease still poses a challenge. Considering the modern concept of progression “smoldering” throughout all the stages of disease, a thorough exploration of PPMS may provide a better insight into mechanisms of progression in MS, with potential clinical implications. The goal of this study was to review the current evidence from investigations of PPMS, including its background, clinical characteristics, potential biomarkers and therapeutic opportunities. Processes underlying CNS damage in PPMS are discussed, including chronic immune-mediated inflammation, neurodegeneration, and remyelination failure. A review of potential clinical, biochemical and radiological biomarkers is presented, which is useful in monitoring and predicting the progression of PPMS. Therapeutic options for PPMS are summarized, with approved therapies, ongoing clinical trials and future directions of investigations. The clinical implications of findings from PPMS research would be associated with reliable assessments of disease outcomes, improvements in individualized therapeutic approaches and, hopefully, novel therapeutic targets, relevant for the management of progression.