bluuebunny/crossref_metadata_2025 huggingface dataset:
Establishing the feasibility of exercise breaks during university lectures
Authors: Hayes Scott M.
Published: April 2024

It is important that principles of laboratory-based studies with implications for academic performance be implemented in naturalistic learning environments to gauge their feasibility. Here, an adaptation of a laboratory-based study of exercise breaks during a single video lecture was implemented during large, in-person lectures at Ohio State University for the duration of a semester. The rationale for this approach was based on findings that research participants who took exercise breaks during a video lecture were more likely to be on task towards the end of the lecture and performed significantly better on a multiple choice exam. The current project had three goals: (1) Establish the feasibility of integrating student-led exercise breaks during in-person lectures in a large university setting (2) Provide practical guidelines for implementing exercise breaks during in-person lectures (3) Provide preliminary evidence of positive effects of exercise breaks in a higher-education setting. One to two student-led exercise breaks (5 min each) were implemented during each 80 min, in-person lecture for the duration of a semester in four upper level Psychology courses with student enrollment ranging from 20 to 93 students (total enrollment = 223 students). Students reported that the exercise breaks were a strength of the courses and a positive experience, including self-reported improvement in attention to lecture content. Self-reported quantitative data indicated that exercise breaks improved attention, increased course enjoyment, and enhanced peer engagement. Compared to other classes, the students preferred exercise breaks during lectures. The current approach establishes the feasibility of integrating exercise breaks in a large, in-person university lecture environment for the duration of a semester with preliminary data indicating a positive impact on attention, engagement, and enjoyment. Practical guidelines for implementing exercise breaks during in-person lectures are provided.
Efficacy of using plant ingredients as partial substitute of fishmeal in formulated diet for a commercially cultured fish, Labeo rohita
Authors: Akter Sumaiya , Haque Md. Ayenuddin , Sarker Md. Al-Amin , Atique Usman , Iqbal Sonia , Sarker Pallab Kumer , Paray Bilal Ahamad , Arai Takaomi , Hossain M. Belal
Published: April 2024

Reliance on fish meal can be reduced by incorporating plant-based ingredients, making aquaculture more economical, sustainable and environmental friendly. In this study, the efficacy of plant protein ingredients (PPI) such as mustard oil cake (MOC), soybean meal (SBM) and rice bran (RB) as Partial substitute of fishmeal (FM) was investigated for a commercially important fish, Labeo rohita in cages for 90 days. Three experimental diets, labeled as Diet 1, Diet 2, and Diet 3, were formulated to be isonitrogenous (with protein content ranging from 32.20 to 32.29%) and iso-caloric (with gross energy ranging from 4.12 to 4.17 kcal/g). These diets contained different proportions of PPI (45, 68, and 79%) and FM (46, 23, and 11%, respectively). Square-shaped cages with a volume of 1m3 (1 m × 1 m × 1 m) were stocked with 40 fish/m3 each with an average initial weight of 52.97 g in triplicates. Fish were hand-fed to apparent satiation twice daily for 7 days a week at a feeding rate of 5% in the initial month and 3% for the rest of the culture period. 50% of the caged fish was sampled monthly to monitor growth performance and at the termination of the experiment, all the fish was harvested to measure production economics performance. The results indicated improved growth performance and higher feed utilization at Diet 2, yielding significantly (p < 0.05) higher fish production compared to Diet 3, while these parameters were insignificant with Diet 1. By replacing FM with PPI, the total feed cost compared to Diet 1 was reduced to 20.62 and 32.76% for Diet 2 and Diet 3, respectively. The replacement of 50% FM in Diet 2 also yielded a 15.61% higher total economic net return than the Diet 1 group. However, a higher inclusion rate of PPI in Diet 3 potentially reduced fish growth, with a consequent decline of 41.61% total economic net return compared to the Diet 1 group. In conclusion, the replacement of 50% FM in Diet 2 compared to Diet 1 returned a higher benefit–cost ratio (1.72) among the feeding groups. Therefore, this FM replacement experiment suggested a 50% FM replaced diet as an unconventional, cost-effective, and readily available novel protein source without compromising the inherent nutritional quality of fish and feed in the cage culture of L. rohita. The results could be widely applicable to the fast-growing approach of cage culture technology across Asia and beyond.
Diagnosis and classification of portosystemic shunts: a machine learning retrospective case-control study
Authors: Farhoodimoghadam Makan , Reagan Krystle L. , Zwingenberger Allison L.
Published: April 2024

Diagnosis of portosystemic shunts (PSS) in dogs often requires multiple diagnostic tests, and available clinicopathologic tests have limitations in sensitivity and specificity. The objective of this study was to train and validate a machine learning model (MLM) that can accurately predict the presence of a PSS utilizing routinely collected demographic data and clinicopathologic features. Dogs diagnosed with PSS or control dogs tested for PSS but had the condition ruled out (non-PSS) were identified. Dogs were included if a complete blood count and serum chemistry panel were available from PSS diagnostic testing. Dogs with a PSS were subcategorized as having a single intrahepatic PSS, a single extrahepatic PSS, or multiple extrahepatic PSS. An extreme gradient boosting (XGboost) MLM was trained with data from 70% of the cases, and MLM performance was determined on the test set, comprising the remaining 30% of the case data. Two MLMs were created. The first was designed to predict the presence of any PSS (PSS MLM), and the second to predict the PSS subcategory (PSS SubCat MLM). The trained PSS MLM had a sensitivity of 94.3% (95% CI 90.1–96.8%) and specificity of 90.5% (95% CI 85.32–94.0%) for dogs in the test set. The area under the receiver operator characteristic curve (AUC) was 0.976 (95% CI; 0.964–0.989). The mean corpuscular hemoglobin, lymphocyte count, and serum globulin concentration were most important in prediction classification. The PSS SubCat MLM had an accuracy of 85.7% in determining the subtype of PSS of dogs in the test set, with variable sensitivity and specificity depending on PSS subtype. These MLMs have a high accuracy for diagnosing PSS; however, the prediction of PSS subclassification is less accurate. The MLMs can be used as a screening tool to increase or decrease the index of suspicion for PSS before confirmatory diagnostics such as advanced imaging are pursued.
Essential oils mix effect on chicks ileal and caecal microbiota modulation: a metagenomics sequencing approach
Authors: Girard Claire , Chabrillat Thibaut , Kerros Sylvain , Fravalo Philippe , Thibodeau Alexandre
Published: April 2024

Introduction

Microbiota plays a pivotal role in promoting the health and wellbeing of poultry. Essential oils (EOs) serve as an alternative solution for modulating poultry microbiota. This study aimed to investigate, using amplicon sequencing, the effect of a complex and well-defined combination of EOs feed supplement on both ileal and caecal broiler microbiota, within the context of Salmonella and Campylobacter intestinal colonization.

Material and methods

For this experiment, 150-day-old Ross chicks were randomly allocated to two groups: T+ (feed supplementation with EO mix 500 g/t) and T– (non-supplemented). At day 7, 30 birds from each group were orally inoculated with 106 CFU/bird of a Salmonella enteritidis and transferred to the second room, forming the following groups: TS+ (30 challenged birds receiving infeed EO mix at 500g/t) and TS– (30 challenged birds receiving a non-supplemented control feed). At day 14, the remaining birds in the first room were orally inoculated with 103 CFU/bird of two strains of Campylobacter jejuni, resulting in the formation of groups T+C+ and T–C+. Birds were sacrificed at day 7, D10, D14, D17, and D21. Ileal and caecal microbiota samples were analyzed using Illumina MiSeq sequencing. At D7 and D14, ileal alpha diversity was higher for treated birds (p <0.05).

Results and discussion

No significant differences between groups were observed in caecal alpha diversity (p>0.05). The ileal beta diversity exhibited differences between groups at D7 (p < 0.008), D10 (p = 0.029), D14 (p= 0.001) and D17 (p= 0.018), but not at D21 (p = 0.54). For all time points, the analysis indicated that 6 biomarkers were negatively impacted, while 10 biomarkers were positively impacted. Sellimonas and Weissella returned the lowest (negative) and highest (positive) coefficient, respectively. At each time point, treatments influenced caecal microbiota beta diversity (p < 0.001); 31 genera were associated with T+: 10 Ruminoccocaceae genera were alternatively more abundant and less abundant from D7, 7 Lachnospiraceae genera were alternatively more and less abundant from D10, 6 Oscillospiraceae genera were variable depending on the date and 4 Enterobacteriaceae differed from D7. During all the experiment, Campylobacter decreased in treated birds (p < 0.05). This study showed that EO mix modulates ileal and caecal microbiota composition both before and during challenge conditions, increasing alpha diversity, especially in ileum during the early stages of chick life.
Case report: Severe hepatopathy following rivaroxaban administration in a dog
Authors: Mosichuk Allison P. , Wimbish Candace , Poplawski Kristen , Birkenheuer Adam , Harrell Karyn , Pierce Kursten V.
Published: April 2024

Rivaroxaban, a specific factor Xa inhibitor and commonly utilized anticoagulant, has been known to cause hepatotoxicity and liver failure in humans. Although rivaroxaban is frequently used in veterinary medicine, hepatotoxicity has not been previously reported in dogs. The current case report describes a dog that developed severe hepatopathy following rivaroxaban administration for a large right pulmonary artery thrombus. An estimated 6-year-old spayed female mixed-breed dog developed anorexia and lethargy 9 days after rivaroxaban administration began. Subsequent labwork revealed severe hepatocellular hepatopathy, and rivaroxaban was discontinued. Additional diagnostics did not reveal an underlying etiology, although hepatic cytology could be consistent with a toxic injury. The hepatopathy and clinical signs improved after rivaroxaban was discontinued. The time to onset, type of hepatopathy, and time to resolution were all similar to those reported for human cases. This case provides precedence to advocate for improved and closer monitoring of dogs receiving factor Xa inhibitors. In cases of suspected hepatotoxicity with no other identifiable cause, a risk–benefit analysis should be performed, and discontinuation of rivaroxaban administration or alternative anticoagulant medications should be considered.
Reinforcement Learning for Dual-Control Aircraft Six-Degree-of-Freedom Attitude Control with System Uncertainty
Authors: Yuan Yuqi , Zhou Di
Published: April 2024

This article proposes a near-optimal control strategy based on reinforcement learning, which is applied to the six-degree-of-freedom (6-DoF) attitude control of dual-control aircraft. In order to solve the problem that the existing reinforcement learning is difficult to apply to the high-dimensional multiple-input multiple-output (MIMO) systems, the Long Short-Term Memory (LSTM) neural network is introduced to replace the polynomial network in the adaptive dynamic programming (ADP) technique. Meanwhile, based on the Lyapunov method, a novel online adaptive updating law of LSTM neural network weights is given, and the stability of the system is verified. In the simulation process, the algorithm proposed in this article is applied to the six-degree-of-freedom attitude control problem of dual-control aircraft with system uncertainty. The simulation results show that the algorithm can achieve near-optimal control.
Serendipitous Discovery of Desert Hairy Scorpion Mitogenomes as Bycatch in Venom Data via Nanopore Sequencing
Authors: Graham Matthew R. , Santibáñez-López Carlos E. , Zehnpfennig Jessica R. , Tillman Dylan S. , Murdoch Barbara
Published: April 2024

While originally intending to explore the venom gland microbiome of the desert hairy scorpion Hadrurus arizonensis Ewing, 1928, nanopore sequencing serendipitously recovered complete mitochondrial genomes for this iconic arachnid. Phylogenetic analysis of these high-quality genomes places Hadrurus as sister to Uroctonus, in agreement with some phylogenomic hypotheses. Additionally, we reveal significant genetic variation among individuals from the same population, highlighting the potential of mitogenomics for population genetics and phylogeography. This study showcases the effectiveness and affordability of nanopore sequencing for research with non-model organisms, opening new avenues for investigating arachnid biodiversity, evolution, and biogeography.
Reducing Automotive Cooling System Complexity through an Adaptive Biomimetic Air Control Valve
Authors: Thuilot Thomas , Wullweber Moses-Gereon , Fischer Matthias , Bennemann Michael , Seidl Tobias
Published: April 2024

Future automotive mobility is predominantly electric. Compared to existing systems, the requirements of subsystems change. Air flow for cooling components is needed predominantly when the car is in rest (i.e., charging) or at slow speeds. So far, actively driven fans consuming power and generating noise are used in this case. Here we propose a passive adaptive system allowing for convection-driven cooling. The developed system is a highly adaptive flat valve derived from the bordered pit. It was developed through an iterative design process including simulations, both structural and thermodynamic. In hardwoods and conifers, bordered pits enable the challenging transport of vertical fluids by locally limiting damage. Depending on the structure, these can close at sudden pressure changes and take the function of valves. The result of the biomimetic abstraction process is a system-integrative, low-profile valve that is cheap to produce, long-lasting, lightweight, maintenance-free, and noise-free. It allows for the passive switching of air flow generation at the heat exchanger of the cooling between natural convection or an active airstream without the need for complex sensing and control systems. The geometric and material design factors allow for the simple tuning of the valve to the desired switching conditions during the design process.
Dimensioning of Biomimetic Beams under Bending for Additively Manufactured Structural Components
Authors: Röver Tim , Fuchs Cedrik , Asami Karim , Emmelmann Claus
Published: April 2024

Additively manufactured mechanical components show great lightweight characteristics and can often be enhanced by integrating biomimetic geometrical features. This study focuses on one specific subcase, namely the substitution of solid cylindrical beams that are under bending with geometrically more complex biomimetic beams. Based on the pseudo-stem of the banana plant as a role model, six geometric beam designs were derived. Given the manufacturing constraints of the PBF-LB/M process, two abstractions were selected for detailed investigation in the main part of this study. The beam lengths were set to 100 mm. Based on parametric optimization simulations, optimal design parameters were identified for the two biomimetic abstractions for 26 different bending load cases ranging from 14 to 350 Nm. Analogous parameter optimizations were performed for a solid cylindrical beam design, which was used as a reference. The results provide detailed design solutions within the investigated intervals for biomimetic beams that can be substituted into more complex mechanical component designs with ease. The analysis provides information on which structures to use for the investigated loads. With the help of the developed numerical models, designers can easily generate biomimetic beam designs for specific bending load values.
Comparing Business, Innovation, and Platform Ecosystems: A Systematic Review of the Literature
Authors: Liu Zhe , Li Zichen , Zhang Yudong , Mutukumira Anthony N. , Feng Yichen , Cui Yangjie , Wang Shuzhe , Wang Jiaji , Wang Shuihua
Published: April 2024

In recent decades, the term “ecosystem” has garnered substantial attention in scholarly and managerial discourse, featuring prominently in academic and applied contexts. While individual scholars have made significant contributions to the study of various types of ecosystem, there appears to be a research gap marked by a lack of comprehensive synthesis and refinement of findings across diverse ecosystems. This paper systematically addresses this gap through a hybrid methodology, employing bibliometric and content analyses to systematically review the literature from 1993 to 2023. The primary research aim is to critically examine theoretical studies on different ecosystem types, specifically focusing on business, innovation, and platform ecosystems. The methodology of this study involves a content review of the identified literature, combining quantitative bibliometric analyses to differentiate patterns and content analysis for in-depth exploration. The core findings center on refining and summarizing the definitions of business, innovation, and platform ecosystems, shedding light on both commonalities and distinctions. Notably, the research unveils shared characteristics such as openness and diversity across these ecosystems while highlighting significant differences in terms of participants and objectives. Furthermore, the paper delves into the interconnections within these three ecosystem types, offering insights into their dynamics and paving the way for discussions on future research directions. This comprehensive examination not only advances our understanding of business, innovation, and platform ecosystems but also lays the groundwork for future scholarly inquiries in this dynamic and evolving field.
Axial Tomography in Live Cell Microscopy
Authors: Schneckenburger Herbert , Cremer Christoph
Published: April 2024

For many biomedical applications, laser-assisted methods are essential to enhance the three-dimensional (3D) resolution of a light microscope. In this report, we review possibilities to improve the 3D imaging potential by axial tomography. This method allows us to rotate the object in a microscope into the best perspective required for imaging. Furthermore, images recorded under variable angles can be combined to one image with isotropic resolution. After a brief review of the technical state of the art, we show some biomedical applications, and discuss future perspectives for Deep View Microscopy and Molecular Imaging.
Role of the Skin Immune System in Wound Healing
Authors: Cioce Angela , Cavani Andrea , Cattani Caterina , Scopelliti Fernanda
Published: April 2024

Wound healing is a dynamic and complex process, characterized by the coordinated activities of multiple cell types, each with distinct roles in the stages of hemostasis, inflammation, proliferation, and remodeling. The cells of the immune system not only act as sentinels to monitor the skin and promote homeostasis, but they also play an important role in the process of skin wound repair. Skin-resident and recruited immune cells release cytokines and growth factors that promote the amplification of the inflammatory process. They also work with non-immune cells to remove invading pathogens and debris, as well as guide the regeneration of damaged host tissues. Dysregulation of the immune system at any stage of the process may lead to a prolongation of the inflammatory phase and the development of a pathological condition, such as a chronic wound. The present review aims to summarize the roles of different immune cells, with special emphasis on the different stages of the wound healing process.
Cannabis, Cannabinoids, and Stroke: Increased Risk or Potential for Protection—A Narrative Review
Authors: Carter Caroline , Laviolette Lindsay , Bietar Bashir , Zhou Juan , Lehmann Christian
Published: April 2024

Worldwide, approximately 15 million people per year suffer from stroke. With about 5 million deaths, stroke is the second most common cause of death and a major cause of long-term disability. It is estimated that about 25% of people older than 85 years will develop stroke. Cannabis sativa and derived cannabinoids have been used for recreational and medical purposes for many centuries. However, due to the legal status in the past, research faced restrictions, and cannabis use was stigmatized for potential negative impacts on health. With the changes in legal status in many countries of the world, cannabis and cannabis-derived substances such as cannabinoids and terpenes have gained more interest in medical research. Several medical effects of cannabis have been scientifically proven, and potential risks identified. In the context of stroke, the role of cannabis is controversial. The negative impact of cannabis use on stroke has been reported through case reports and population-based studies. However, potential beneficial effects of specific cannabinoids are described in animal studies under certain conditions. In this narrative review, the existing body of evidence regarding the negative and positive impacts of cannabis use prior to stroke will be critically appraised.
The Efficacy of Fat Grafting on Treating Post-Mastectomy Pain with and without Breast Reconstruction: A Systematic Review and Meta-Analysis
Authors: Chen Jeffrey , Alghamdi Abdulrahman A. , Wong Chi Yi , Alnaim Muna F. , Kuper Gabriel , Zhang Jing
Published: April 2024

Post-mastectomy pain syndrome (PMPS), characterized by persistent pain lasting at least three months following mastectomy, affects 20–50% of breast surgery patients, lacking effective treatment options. A review was conducted utilizing EMBASE, MEDLINE, and all evidence-based medicine reviews to evaluate the effect of fat grafting as a treatment option for PMPS from database inception to 29 April 2023 (PROSPERO ID: CRD42023422627). Nine studies and 812 patients in total were included in the review. The overall mean change in visual analog scale (VAS) was −3.6 in 285 patients following fat grafting and 0.5 in 147 control group patients. There was a significant reduction in VAS from baseline in the fat grafting group compared to the control group, n = 395, mean difference = −2.17 (95% CI, −2.95 to −1.39). This significant improvement was also noted in patients who underwent mastectomy without reconstruction. Common complications related to fat grafting include capsular contracture, seroma, hematoma, and infection. Surgeons should consider fat grafting as a treatment option for PMPS. However, future research is needed to substantiate this evidence and to identify timing, volume of fat grafting, and which patient cohort will benefit the most.
Superpixel-Based Graph Convolutional Network for UAV Forest Fire Image Segmentation
Authors: Mu Yunjie , Ou Liyuan , Chen Wenjing , Liu Tao , Gao Demin
Published: April 2024

Given the escalating frequency and severity of global forest fires, it is imperative to develop advanced detection and segmentation technologies to mitigate their impact. To address the challenges of these technologies, the development of deep learning-based forest fire surveillance has significantly accelerated. Nevertheless, the integration of graph convolutional networks (GCNs) in forest fire detection remains relatively underexplored. In this context, we introduce a novel superpixel-based graph convolutional network (SCGCN) for forest fire image segmentation. Our proposed method utilizes superpixels to transform images into a graph structure, thereby reinterpreting the image segmentation challenge as a node classification task. Additionally, we transition the spatial graph convolution operation to a GraphSAGE graph convolution mechanism, mitigating the class imbalance issue and enhancing the network’s versatility. We incorporate an innovative loss function to contend with the inconsistencies in pixel dimensions within superpixel clusters. The efficacy of our technique is validated on two different forest fire datasets, demonstrating superior performance compared to four alternative segmentation methodologies.
Analysis of Increased Induced Voltages on the Sheath of Double-Circuit Underground Transmission Lines Guaranteeing Ampacity
Authors: Asorza Jesus Enrique Guevara , Leon Colqui Jaimis Sajid , Kurokawa Sérgio , Filho José Pissolato
Published: April 2024

This paper quantifies and discusses the increase in induced voltage on a sheath due to changes in duct banks in terms of type and dimensions along an underground transmission line, guaranteeing the ampacity required for a project. The four most common duct banks in double-circuit underground transmission lines with phase transposition were considered in this study, along with two special cross-bonding techniques: continuous cross-bonding (CCB) and sectionalized cross-bonding (SCB). These techniques aim to reduce sheath currents and enhance the distribution of the induced voltage on the sheath. The analysis considers two distinct scenarios in which the profile of the induced voltage is calculated: the first one accounts for underground obstructions, intersections with important traffic avenues, and ground with high excavation costs that force changes in the duct bank dimensions and configuration, which is the most exact and realistic case. The second one solely considers one typical configuration of a duct bank along the route. This last scenario is normally applied to calculate the induced voltage when an underground transmission design is required. The results show that when installing cables at a greater depth, it is imperative to increase the distance between them to guarantee the ampacity. The induced voltage on the sheath will rise as the distance increases. Furthermore, the results reveal that instead of calculating the induced voltage by considering the scenario that is exact and most like a real case, it is enough to calculate following the second scenario and then add a scaling factor according to each duct bank configuration.
Analysis of Hydrogen Combustion in a Spark Ignition Research Engine with a Barrier Discharge Igniter
Authors: Ricci Federico , Zembi Jacopo , Avana Massimiliano , Grimaldi Carlo Nazareno , Battistoni Michele , Papi Stefano
Published: April 2024

Hydrogen fuel is gaining particular attention in internal combustion engines. In addition to zero-carbon emissions, major advantages relate to its combustion characteristics, which allow a significant increase in thermal efficiency under ultra-lean operation and with very low NOx levels. The ignition system is one of the main technology enablers, as it determines the capability to control ultra-lean operations, avoid backfire phenomena, and/or reduce the risks of abnormal combustions. The latter results from hydrogen’s low ignition energy and it is associated with factors like high-temperature residuals, hot spots, and irregular spark plug discharge. The ACIS gen 2-Barrier Discharge Igniter excels in accelerating the initial flame growth speed by the generation of non-equilibrium low-temperature plasma, a strong ignition promoter for the combined action of kinetic and thermal effects. Moreover, its volumetric discharge facilitates combustion initiation on a wide region, in contrast to the localized ignition of traditional spark systems. In this work we present for the first time, to the best of our knowledge, experimental results showing the performance of a hydrogen engine with a low-temperature plasma discharge. Tests were conducted on a single-cylinder research engine, achieving ultra-lean conditions with cycle-to-cycle variability results below 2.5%. The analysis indicates that the H2-BDI combined solution is capable of accelerating the evolution of the flame front compared to traditional spark plugs, leading to a significant reduction in the cycle-to-cycle variability. A meticulous adjustment of the BDI control parameters further enhances igniter performance and contributes to a deeper understanding of the innovative approach proposed in this study.
Study on a Nonlocal Fractional Coupled System Involving (k,ψ)-Hilfer Derivatives and (k,ψ)-Riemann–Liouville Integral Operators
Authors: Samadi Ayub , Ntouyas Sotiris K. , Tariboon Jessada
Published: April 2024

This paper deals with a nonlocal fractional coupled system of (k,ψ)-Hilfer fractional differential equations, which involve, in boundary conditions, (k,ψ)-Hilfer fractional derivatives and (k,ψ)-Riemann–Liouville fractional integrals. The existence and uniqueness of solutions are established for the considered coupled system by using standard tools from fixed point theory. More precisely, Banach and Krasnosel’skiĭ’s fixed-point theorems are used, along with Leray–Schauder alternative. The obtained results are illustrated by constructed numerical examples.
Cultural Practice and ‘Āina Connectedness as Tenants of Mauli Ola, Optimal Health and Wellbeing
Authors: Antonio Mapuana C. K. , Felipe Kaitlynn , Keaulana Samantha , Furukawa Sai Kamakani , Taitague-Laforga Māhealani , Irvine Joshua Lelemia , Makua Kuaiwi Laka , Vegas Jetney Kahaulahilahi , Keli‘iholokai LeShay ,   Ke Ola O Ka ‘Āina Research Team and Thought Partners, Ho-Lastimosa Heidi Ilima
Published: April 2024

Mauli ola, optimal health and wellbeing from a Hawaiian perspective, is achieved by being pono, or morally just and upright, and maintaining an intricate balance physically, mentally, spiritually, and emotionally through one’s relations. Cultural practices, including practices that foster a connection to the water, land, ocean, and natural environment, may serve as protective and resilience factors, thereby promoting health and wellbeing. This paper starts by sharing the genealogical foundations of cultural practices in Hawai‘i as the foundations of Native Hawaiian lifestyles and ways of knowing. The paper proceeds with data analyses that aim to better understand the role of cultural practices in relation to connectedness to ‘Āina (the land, nature, and the environment, which nourish our bodies) and Native Hawaiian health based on cross-sectional correlations and qualitative data. The findings demonstrate the importance of cultural practices, specifically ‘Āina practices, and identify ‘Āina protection, restoration, and conservation as major health priorities. The correlations demonstrate statistically significant relationships between cultural practices; a physical, mental, spiritual, and emotional connection to ‘Āina; and health outcomes. These findings continue to support literature and other declarations that support healthcare and medicine that are culturally grounded in Indigenous values and traditional systems of medicine.
Assessment of Bayesian Changepoint Detection Methods for Soil Layering Identification Using Cone Penetration Test Data
Authors: Suryasentana Stephen K. , Sheil Brian B. , Lawler Myles
Published: April 2024

This paper assesses the effectiveness of different unsupervised Bayesian changepoint detection (BCPD) methods for identifying soil layers, using data from cone penetration tests (CPT). It compares four types of BCPD methods: a previously utilised offline univariate method for detecting clay layers through undrained shear strength data, a newly developed online univariate method, and an offline and an online multivariate method designed to simultaneously analyse multiple data series from CPT. The performance of these BCPD methods was tested using real CPT data from a study area with layers of sandy and clayey soil, and the results were verified against ground-truth data from adjacent borehole investigations. The findings suggest that some BCPD methods are more suitable than others in providing a robust, quick, and automated approach for the unsupervised detection of soil layering, which is critical for geotechnical engineering design.
Actual Scope of Nursing Practice in Saudi Ministry of Health Hospitals
Authors: Hamadi Ahmed A. , Aboshaiqah Ahmad E. , Alanazi Naif H.
Published: April 2024

Background: Articulating a clear scope of practice for all nursing categories is essential for improving patient safety, quality of care, and nurse retention. However, this is not the case in many countries, including Saudi Arabia. This study aimed to analyze the actual scope of practice for nursing staff in Saudi Ministry of Health hospitals. Methods: The study used a cross-sectional exploratory design. The sampling method used in the study was the quota sampling technique. The scale utilized in this study was the Actual Scope of Practice (ASCOP) scale. Data were collected in March 2021 through an electronic form questionnaire completed by 286 nurses in two hospitals in Al-Hasa province in Saudi Arabia. Results: The overall mean score for ASCOP was 4.64 out of 6. When participants were grouped according to select characteristics (various nursing staff categories, educational levels, years of experience, nationality, gender, and type of work setting), the results revealed no statistically significant differences in overall ASCOP mean scores, except for gender and nationality. Conclusions: The overall mean scores of nursing activities performed in practice do not significantly differ across nurses with different professional categories (health assistant, nursing technician, nursing specialist, and senior nursing specialist), indicating no clear scope of practice for each nursing category, in turn leading to role overlap among them in practice. The current study’s findings can guide decision-makers to develop a clear scope of practice for nurses. The findings should also urge the decision-makers to reevaluate the usefulness of having multiple professional categories of nurses who are allowed to carry out almost the same job duties.
Possible Role of Cannabis in the Management of Neuroinflammation in Patients with Post-COVID Condition
Authors: Cárdenas-Rodríguez Noemi , Ignacio-Mejía Iván , Correa-Basurto Jose , Carrasco-Vargas Humberto , Vargas-Hernández Marco Antonio , Albores-Méndez Exal Manuel , Mayen-Quinto Rodolfo David , De La Paz-Valente Reynita , Bandala Cindy
Published: April 2024

The post-COVID condition (PCC) is a pathology stemming from COVID-19, and studying its pathophysiology, diagnosis, and treatment is crucial. Neuroinflammation causes the most common manifestations of this disease including headaches, fatigue, insomnia, depression, anxiety, among others. Currently, there are no specific management proposals; however, given that the inflammatory component involves cytokines and free radicals, these conditions must be treated to reduce the current symptoms and provide neuroprotection to reduce the risk of a long-term neurodegenerative disease. It has been shown that cannabis has compounds with immunomodulatory and antioxidant functions in other pathologies. Therefore, exploring this approach could provide a viable therapeutic option for PCC, which is the purpose of this review. This review involved an exhaustive search in specialized databases including PubMed, PubChem, ProQuest, EBSCO, Scopus, Science Direct, Web of Science, and Clinical Trials. Phytocannabinoids, including cannabidiol (CBD), cannabigerol (CBG), and Delta-9-tetrahydrocannabinol (THC), exhibit significant antioxidative and anti-inflammatory properties and have been shown to be an effective treatment for neuroinflammatory conditions. These compounds could be promising adjuvants for PCC alone or in combination with other antioxidants or therapies. PCC presents significant challenges to neurological health, and neuroinflammation and oxidative stress play central roles in its pathogenesis. Antioxidant therapy and cannabinoid-based approaches represent promising areas of research and treatment for mitigating adverse effects, but further studies are needed.
Root-Applied Cerium Oxide Nanoparticles and Their Specific Effects on Plants: A Review
Authors: Pietrzak Monika , Skiba Elżbieta , Wolf Wojciech M.
Published: April 2024

With the pronounced increase in nanotechnology, it is likely that biological systems will be exposed to excess nanoparticles (NPs). Cerium oxide nanoparticles (CeO2 NPs) are among the most abundantly produced nanomaterials in the world. Their widespread use raises fundamental questions related to the accumulation in the environment and further interactions with living organisms, especially plants. NPs present in either soil or soilless environments are absorbed by the plant root systems and further transported to the aboveground parts. After entering the cytoplasm, NPs interact with chloroplast, nucleus, and other structures responsible for metabolic processes at the cellular level. In recent years, several studies have shown the impact of nanoceria on plant growth and metabolic processes. Research performed on different plants has shown a dual role for CeO2 NPs. The observed effects can be positive or negative and strongly depend on the plant species, characterization, and concentrations of NPs. This review describes the impact of root-applied CeO2 NPs on plant growth, photosynthesis, metal homeostasis, and parameters of induced oxidative stress.
Astragaloside IV as a Memory-Enhancing Agent: In Silico Studies with In Vivo Analysis and Post Mortem ADME-Tox Profiling in Mice
Authors: Stępnik Katarzyna , Kukula-Koch Wirginia , Boguszewska-Czubara Anna , Gawel Kinga
Published: April 2024

Many people around the world suffer from neurodegenerative diseases associated with cognitive impairment. As life expectancy increases, this number is steadily rising. Therefore, it is extremely important to search for new treatment strategies and to discover new substances with potential neuroprotective and/or cognition-enhancing effects. This study focuses on investigating the potential of astragaloside IV (AIV), a triterpenoid saponin with proven acetylcholinesterase (AChE)-inhibiting activity naturally occurring in the root of Astragalus mongholicus, to attenuate memory impairment. Scopolamine (SCOP), an antagonist of muscarinic cholinergic receptors, and lipopolysaccharide (LPS), a trigger of neuroinflammation, were used to impair memory processes in the passive avoidance (PA) test in mice. This memory impairment in SCOP-treated mice was attenuated by prior intraperitoneal (ip) administration of AIV at a dose of 25 mg/kg. The attenuation of memory impairment by LPS was not observed. It can therefore be assumed that AIV does not reverse memory impairment by anti-inflammatory mechanisms, although this needs to be further verified. All doses of AIV tested did not affect baseline locomotor activity in mice. In the post mortem analysis by mass spectrometry of the body tissue of the mice, the highest content of AIV was found in the kidneys, then in the spleen and liver, and the lowest in the brain.
Targeting Mitochondrial Dynamics during Lower-Limb Ischemia Reperfusion in Young and Old Mice: Effect of Mitochondrial Fission Inhibitor-1 (mDivi-1)
Authors: Paradis Stéphanie , Charles Anne-Laure , Giannini Margherita , Meyer Alain , Lejay Anne , Talha Samy , Laverny Gilles , Charloux Anne , Geny Bernard
Published: April 2024

Peripheral arterial disease (PAD) strikes more than 200 million people worldwide and has a severe prognosis by potentially leading to limb amputation and/or death, particularly in older patients. Skeletal muscle mitochondrial dysfunctions and oxidative stress play major roles in this disease in relation with ischemia-reperfusion (IR) cycles. Mitochondrial dynamics through impairment of fission–fusion balance may contribute to skeletal muscle pathophysiology, but no data were reported in the setting of lower-limb IR despite the need for new therapeutic options. We, therefore, investigated the potential protective effect of mitochondrial division inhibitor-1 (mDivi-1; 50 mg/kg) in young (23 weeks) and old (83 weeks) mice submitted to two-hour ischemia followed by two-hour reperfusion on systemic lactate, muscle mitochondrial respiration and calcium retention capacity, and on transcripts specific for oxidative stress and mitochondrial dynamics. At the systemic levels, an IR-related increase in circulating lactate was still major despite mDivi-1 use (+305.9% p < 0.0001, and +269.4% p < 0.0001 in young and old mice, respectively). Further, IR-induced skeletal muscle mitochondrial dysfunctions (more severely impaired mitochondrial respiration in old mice (OXPHOS CI state, –68.2% p < 0.0001 and −84.9% p < 0.0001 in 23- and 83-week mice) and reduced calcium retention capacity (–46.1% p < 0.001 and −48.2% p = 0.09, respectively) were not corrected by mDivi-1 preconditioning, whatever the age. Further, mDivi-1 treatment did not oppose superoxide anion production (+71.4% p < 0.0001 and +37.5% p < 0.05, respectively). At the transcript level, markers of antioxidant enzymes (SOD 1, SOD 2, catalase, and GPx) and fission markers (Drp1, Fis) remained unchanged or tended to be decreased in the ischemic leg. Fusion markers such as mitofusin 1 or 2 decreased significantly after IR in both groups. In conclusion, aging enhanced the deleterious effects or IR on muscle mitochondrial respiration, and in this setting of lower-limb IR, mDivi-1 failed to protect the skeletal muscle both in young and old mice.
An Interdisciplinary Approach to Biobanking in Cardiac Surgery: Protocol of a Prospective, Single-Center Research Project Involving Longitudinal Biobanking
Authors: Holst Theresa , Langer Angela , Sequeira Gross Tatiana M. , Abdelmoteleb Noureldin , Miskovic Valentina , Müller Lisa , Stock Sina , Märkl Bruno , Girdauskas Evaldas
Published: April 2024

Cross-sectional and longitudinal profiling of full sets of nucleic acids, peptides, or proteins as well as metabolites expressed in biospecimens acquired via a cardiovascular disease-oriented biobank may aid in the elucidation of the disease pathways and mechanisms underlying individual cardiovascular diseases, such as degenerative valvular heart disease. This may promote the development of novel and effective, personalized diagnostic and therapeutic strategies to efficiently reduce cardiovascular mortality and morbidity as well as its health and economic burden. This brief report aims to describe the unique, standardized, interdisciplinary, and interprofessional approach to cross-sectional and longitudinal cardiovascular biobanking and databasing at the University Hospital Augsburg. Moreover, we present the study protocol of a specific, well-defined, prospective, single-center research project involving cross-sectional and longitudinal cardiovascular biobanking. The aim of this project is to gain a better insight into the molecular mechanisms underlying aortic valve disease-induced cardiomyopathy and the long-term effect of surgical correction of the aortic valve pathology on the left ventricular myocardial molecule profile.
Blood Pressure Variability in Acute Stroke: A Narrative Review
Authors: Zompola Christina , Palaiodimou Lina , Voumvourakis Konstantinos , Stefanis Leonidas , Katsanos Aristeidis H. , Sandset Else C. , Boviatsis Estathios , Tsivgoulis Georgios
Published: April 2024

The management of blood pressure variability (BPV) in acute stroke presents a complex challenge with profound implications for patient outcomes. This narrative review examines the role of BPV across various stages of acute stroke care, highlighting its impact on treatment strategies and prognostic considerations. In the prehospital setting, while guidelines lack specific recommendations for BP management, emerging evidence suggests a potential link between BPV and outcomes. Among ischaemic stroke patients who are ineligible for reperfusion therapies, BPV independently influences functional outcomes, emphasising the need for individualised approaches to BP control. During intravenous thrombolysis and endovascular therapy, the intricate interplay between BP levels, recanalisation status, and BPV is evident. Striking a balance between aggressive BP lowering and avoiding hypoperfusion-related complications is essential. Intracerebral haemorrhage management is further complicated by BPV, which emerges as a predictor of mortality and disability, necessitating nuanced BP management strategies. Finally, among patients with acute subarachnoid haemorrhage, increased BPV may be correlated with a rebleeding risk and worse outcomes, emphasizing the need for BPV monitoring in this population. Integration of BPV assessment into clinical practice and research protocols is crucial for refining treatment strategies that are tailored to individual patient needs. Future studies should explore novel interventions targeting BPV modulation to optimise stroke care outcomes.
Impact Characteristics and Repair Approaches of Distinct Bio-Based Matrix Composites: A Comparative Analysis
Authors: Ravindran Bharath , Agathocleous Timotheos , Oswald-Tranta Beate , Fauster Ewald , Feuchter Michael
Published: April 2024

Increasing global concerns regarding environmental issues have driven significant advancements in the development of bio-based fiber reinforced polymer composites. Despite extensive research on bio-composites, there remains a noticeable gap in studies specifically addressing the challenges of repairing bio-composites for circular economy adoption. Traditional repair techniques for impacted composites, such as patching or scarf methods, are not only time-consuming but also require highly skilled personnel. This paper aims to highlight cost-effective repair strategies for the restoration of damaged composites, featuring flax fiber as the primary reinforcement material and distinct matrix systems, namely bio-based epoxy and bio-based vitrimer matrix. Glass fiber was used as a secondary material to validate the bio-based vitrimer matrix. The damage caused specifically by low impact is detrimental to the structural integrity of the composites. Therefore, the impact resistance of the two composite materials is evaluated using instrumented drop tower tests at various energy levels, while thermography observations are employed to assess damage evolution. Two distinct repair approaches were studied: the resin infiltration repair method, employing bio-based epoxy, and the reconsolidation (self-healing) repair method, utilizing the bio-based vitrimer matrix. The efficiency of these repair methods was assessed through active thermography and compression after impact tests. The repair outcomes demonstrate successful restoration and the maintenance of ultimate strength at an efficiency of 90% for the re-infiltration repair method and 92% for the reconsolidation repair method.