bluuebunny/crossref_metadata_2025 huggingface dataset:
Unveiling nuances in data analysis to illuminate marine pilot strain
Authors: Košir Andrej , Svetina Matija , Perkovič Marko , Dimc Franc , Brcko Tanja , Žagar Dejan
Published: September 2024

Maritime studies, encompassing a range of disciplines, increasingly rely on advanced data analytics, particularly in the context of navigation. As technology advances, the statistical averaging of large datasets has become a critical component of these analyses. However, recent studies have highlighted discrepancies between statistical predictions and observable realities, especially in high-stress environments like port approach procedures conducted by marine pilots. This study analyzed physiological responses recorded during simulation exercises involving experienced marine pilots. The focus was not on the specific outcomes of the simulations but on the potential faults arising from conventional statistical signal processing, particularly mean-centered approaches. A large dataset of signals was generated, including one signal with a dominant characteristic intentionally designed to introduce imbalance, mimicking the uneven distribution of real-world data. Initial analysis suggested that the average physiological response of the pilots followed an S-shaped curve, indicative of a psycho-physiological reaction to stress. However, further post hoc analysis revealed that this pattern was primarily influenced by a single participant’s data. This finding raises concerns about the generalizability of the S-curve as a typical stress response in maritime pilots. The results underscore the limitations of relying solely on conventional statistical methods, such as mean-centered approaches, in interpreting complex datasets. The study calls into question the validity of standardizing data interpretations based on dominant characteristic curves, particularly in environments as intricate as maritime navigation. The research highlights the need for a re-evaluation of these methods to ensure more reliable and nuanced conclusions in maritime studies. This study contributes to the ongoing discourse on data interpretation in maritime research, emphasizing the critical need to re-assess conventional statistical signal processing techniques. By recognizing the potential pitfalls in data generalization, the study advocates for more robust analytical approaches to better capture the complexities of real-world maritime challenges.
Age- and gender-based social inequalities in palliative care for cancer patients: a systematic literature review
Authors: Rodríguez-Gómez Marina , Pastor-Moreno Guadalupe , Ruiz-Pérez Isabel , Escribà-Agüir Vicenta , Benítez-Hidalgo Vivian
Published: September 2024

Objectives

Cancer is a major public health problem worldwide, given its magnitude and growing burden, in addition to the repercussions on health and quality of life. Palliative care can play an important role improving quality of life and it is cost-effective, but some population groups may not benefit from it or benefit less based on age and gender inequalities. The aim of this systematic review was to analyze the available evidence on age- and gender-based social inequalities in access to and use of palliative care in cancer patients.

Methods

A systematic review was conducted following the PRISMA guidelines. An exhaustive literature research was performed in Pubmed, CINHAL and Embase until November 2022 and were not restricted by language or date of publication. Eligible studies were observational studies analyzing the access and use of palliative care in cancer patients.

Results

Fifty-three studies were included in the review. Forty-five analyzed age and 44 analyzed gender inequalities in relation to use of and access to palliative care. Our results show that older people receive poorer quality of care, worst symptom control and less preferences for palliative care. In relation to gender, women have a greater preference for the use of palliative care and generally have more access to basic and specialized palliative care services and palliative care facilities.

Conclusion

This review reveals difficulties for older persons and men for access to key elements of palliative care and highlights the need to tackle access barriers for the most vulnerable population groups. Innovative collaborative services based around patient, family and wider community are needed to ensure optimal care.
Acinetobacter spp. in neonatal sepsis: an urgent global threat
Authors: Pillay Kamla , Ray-Chaudhuri Anirban , O’Brien Seamus , Heath Paul , Sharland Mike
Published: September 2024

Neonatal sepsis causes substantial morbidity and mortality, the burden of which is carried by low-income countries (LICs). The emergence of multidrug-resistant pathogens in vulnerable neonatal populations poses an urgent threat to infant survival. Acinetobacter spp. are increasingly responsible for severe disease in neonates globally. The cause of this escalation remains unclear, but host, pathogen and environmental factors are all likely to contribute. Acinetobacter spp. strains are frequently resistant to the first line empirical treatment for neonatal sepsis as recommended by the World Health Organization (WHO), ampicillin and gentamicin, rendering these antibiotics ineffectual in many critically ill neonates. The resultant escalation to broader spectrum antibiotic regimens in neonatal intensive care units (NICUs) worldwide has led to the emergence of more resistant strains, including carbapenem-resistant Acinetobacter baumanii (CRAB), resulting in infections that are ever more difficult to treat. While some existing antimicrobial agents are under consideration for treatment of Acinetobacter spp. infections, the majority remain a long way from clinical use in neonates. Further research into the clinical phenotype of these infections, transmission dynamics and preventative measures are urgently needed to reduce neonatal deaths. This review aims to summarise the role of Acinetobacter spp. in neonatal sepsis, including host, pathogen and environmental factors, the global epidemiology and clinical features of the disease, the treatment options, and future research priorities.
Comparison between twin block appliance and mandibular advancement on clear aligners in the improvement of airway dimension: incremental versus maximum bite advancement
Authors: Cretella Lombardo Elisabetta , Lugli Letizia , Cozza Paola , Lione Roberta , Loberto Saveria , Pavoni Chiara
Published: September 2024

Objective

The aim of the present retrospective study was to compare the changes resulting from treatment using the MA and the TB with special regard to the oro-and naso-pharyngeal sagittal airway dimensions in subjects with dentoskeletal Class II malocclusions and positive history of Sleep Disorder Breathing (SDB) diagnosed through the Pediatric Sleep Questionnaire (PSQ).

Materials and methods

This retrospective study involved 2 groups of subjects: patients treated with Twin Block (TB group: n = 22, 10 males, 12 females; mean age 12.0 ± 1.3 years) and patients treated with Mandibular Advancement (MA group: n = 23, 11 males, 12 females; mean age 12.2 ± 1.1 years). Pretreatment (T1) and posttreatment (T2) lateral cephalograms were analyzed. All patients underwent the PSQ to diagnose SDB.

Results

In both treated groups there was an increase in the airways dimensions and an improvement in symptoms related SDB. The statistical comparison of the changes between T1 and T2 in the TB group showed a significant increment in upper airway size (PNS-AD2, +1.50 mm + −3.30; McNamara's upper pharynx dimension, +2.21 + −4.21) after active treatment. The MA group showed similar results during active treatment with a significant increase in both upper (PNS-AD2, +2.72 + −2.65; McNamara's upper pharynx dimension, +2.97 + −3.07) and lower (PNS-AD1, +2.17 mm + −3.54) airway size.

Conclusions

Despite the different structure of these two devices and the different advancement protocols, both appliances were valuable as a suitable treatment option for Class II patients with respiratory disorders, inducing an increase of upper and lower airway size and a significant reduction in diurnal symptoms.
Impact of donor transaminases on liver transplant utilisation and unnecessary organ discard: national registry cohort study
Authors: Dobbins Joseph J. , Tingle Samuel J. , Mehew Jennifer , Thompson Emily R. , Kourounis Georgios , McPherson Stuart , White Steve A. , Wilson Colin H.
Published: September 2024

Background

Donor liver transaminases (ALT and AST) have been used to decline livers for transplant, despite evidence that they do not influence transplant outcomes. This study assesses the effect that raised donor transaminases have on the unnecessary decline of livers.

Methods

This retrospective cohort study used the National Health Service registry on adult liver transplantation (2016–2019). Logistic regression models were built to assess the impact of donor transaminases on the utilisation of organs donated following brain stem death (DBD) and circulatory death (DCD). A further model was used to simulate the impact on liver decline if raised donor ALT was not used to make utilisation decisions.

Results

5,424 adult livers were offered for transplant, of which 3,605 were utilised (2,841 DBD, 764 DCD). In multivariable analysis, adjusted for key factors, increasing peak donor ALT independently increased the odds of liver decline (DBD aOR = 1.396, 1.305–1.494, p < 0.001, DCD aOR = 1.162, 1.084–1.246, p < 0.001). AST was also a significant predictor of liver decline. 18.5% of livers from DBD donors with ALT > 40 U/L (n = 1,683) were declined for transplantation. In this group, our model predicted a 48% (38%–58%) decrease in decline if raised donor ALT was excluded from these decisions. This represents an additional 37 (30–45) liver transplants every year in the UK.

Conclusions

Raised donor ALT increased the likelihood of liver decline. As it does not influence transplant outcome, avoiding donor ALT-based organ decline is an immediate and effective way to expand the donor pool.
Variability of Earth’s ionospheric outflow in response to the dynamic terrestrial exosphere
Authors: Lin Mei-Yun , Cucho-Padin Gonzalo , Oliveira Pedro , Glocer Alex , Rojas Enrique
Published: September 2024

The most abundant neutral constituent in the exospheric region (i.e., beyond ≈ 500 km altitude) is the atomic hydrogen (H); however, its density distributions predicted by physics-based models have been challenged by satellite-based observations of its far ultraviolet emissions. This discrepancy may impact magnetospheric ions’ densities and velocities since numerous chemistry and ion-neutral coupling interactions rely sensitively on the underlying neutral hydrogen population. The Polar Wind Outflow Model a first-principled model for relevant ion species in the high-latitude ionosphere, is employed to investigate the role of neutral H on the ionospheric outflow. Specifically, variability in the outflow of ionospheric H+, He+, N+, and O+ as a response to systematic enhancement and depletion of H number densities were simulated. The altitude-dependent ion density and energy partition profiles vary with neutral H density, solar activities, and ion species. These findings suggest that the exosphere plays a crucial role in controlling the production and loss of ions through ionospheric chemistry, as well as the energy contributions by altering ion-neutral-electron collisions and the ambipolar electric field to the high-latitude ionospheric outflow. As a result, the escape rates of the ionospheric outflow are directly associated with exospheric distributions. This work potentially helps understand the dominant mechanisms of atmospheric escape, particularly during a hydrogen-rich early Earth’s and exoplanet’s atmosphere, which is known to play a significant role in understanding the evolution of Earth’s atmosphere.
Cell-penetrating peptides TAT and 8R functionalize P22 virus-like particles to enhance tissue distribution and retention in vivo
Authors: Su Shibo , Shen Xuegang , Shi Xinqi , Li Xin , Chen Jin , Yang Wei , Sun Mingxia , Tang Yan-Dong , Wang Haiwei , Wang Shujie , Cai Xuehui , Lu Yu , An Tongqing , Yang Yongbo , Meng Fandan
Published: September 2024

Virus-like particles (VLPs) are used as nanocontainers for targeted drug, protein, and vaccine delivery. The phage P22 VLP is an ideal macromolecule delivery vehicle, as it has a large exterior surface area, which facilitates multivalent genetic and chemical modifications for cell recognition and penetration. Arginine-rich cell-penetrating peptides (CPPs) can increase cargo transport efficiency in vivo. However, studies on the tissue distribution and retention of P22 VLPs mediated by TAT and 8R are lacking. This study aimed to analyze the TAT and 8R effects on the P22 VLPs transport efficiency and tissue distribution both in vitro and in vivo. We used a prokaryotic system to prepare P22 VLP self-assembled particles and expressed TAT-or 8R-conjugated mCherry on the VLP capsid protein as model cargoes and revealed that the level of P22 VLP-mCherry penetrating the cell membrane was low. However, both TAT and 8R significantly promoted the cellular uptake efficiency of P22 VLPs in vitro, as well as enhanced the tissue accumulation and retention of P22 VLPs in vivo. At 24 h postinjection, TAT enhanced the tissue distribution and retention in the lung, whereas 8R could be better accumulation in brain. Thus, TAT was superior in terms of cellular uptake and tissue accumulation in the P22 VLPs delivery system. Understanding CPP biocompatibility and tissue retention will expand their potential applications in macromolecular cargo delivery.
A Power Law Reconstruction of Ultrasound Backscatter Images
Authors: Parker Kevin J.
Published: September 2024

Ultrasound B-scan images are traditionally formed from the envelope of the received radiofrequency echoes, but the image texture is dominated by granular speckle patterns. Longstanding efforts at speckle reduction and deconvolution have been developed to lessen the detrimental aspects of speckle. However, we now propose an alternative approach to estimation (and image rendering) of the underlying fine grain scattering density of tissues based on power law constraints. The key steps are a whitening of the spectrum of the received signal while conforming to the original envelope shape and statistics, followed by a power law filtering in accordance with the known scattering behavior of tissues. This multiple step approach results in a high-spatial-resolution map of scattering density that is constrained by the most important properties of scattering from tissues. Examples from in vivo liver scans are shown to illustrate the change in image properties from this framework.
Behind the Sadness of Teen Girls: A Retrospective Survey Analysis Amidst the COVID-19 Crisis of 2021
Authors: Baser Onur , Alsaleh Sara , Zeng Yixuan , Baser Isabel
Published: September 2024

(1) Background: Adolescent girls have increasingly faced mental health challenges. We examined prevalence trends and associated risk factors for depression among adolescent girls. (2) Methods: Data for girls aged 12 to 17 years (N = 4346) from the 2021 cross-sectional National Survey on Drug Use and Health were analyzed. Factors associated with depression were examined using multiple regression analysis. (3) Results: Rates of severe depression were significantly higher (p < 0.001) in older girls (adjusted odds ratio [AOR]: 1.63, 1.61), those who did not have authoritative parents (AOR: 3.40), and those with negative school experiences (AOR: 4.03). Black and Asian/Native Hawaiian or other Pacific Islanders were less likely to report severe depression than white girls. As previously reported, non-white girls were significantly less likely to receive treatment for depression (p < 0.05). Parents’ characteristics and school experiences had no effect on the likelihood of receiving mental health treatment. (4) Conclusions: Depression has become increasingly common among American adolescent girls, who are now three times as likely as adolescent boys to have had recent experiences with depression. Our results show that family structure, parenting style, and negative school experiences significantly contribute to the rate of depression and that treatment disparities exist with regard to race and ethnicity. The results of our research could be valuable for policymakers, healthcare professionals, and educators in developing specific preventative initiatives and support networks that effectively address these unique challenges.
Towards Autonomous Operation of UAVs Using Data-Driven Target Tracking and Dynamic, Distributed Path Planning Methods
Authors: Choi Jae-Young , Prasad Rachit , Choi Seongim
Published: September 2024

A hybrid real-time path planning method has been developed that employs data-driven target UAV trajectory tracking methods. It aims to autonomously manage the distributed operation of multiple UAVs in dynamically changing environments. The target tracking methods include a Gaussian mixture model, a long short-term memory network, and extended Kalman filters with pre-specified motion models. Real-time vehicle-to-vehicle communication is assumed through a cloud-based system, enabling virtual, dynamic local networks to facilitate the high demand of vehicles in airspace. The method generates optimal paths by adaptively employing the dynamic A* algorithm and the artificial potential field method, with minimum snap trajectory smoothing to enhance path trackability during real flights. For validation, software-in-the-loop testing is performed in a dynamic environment composed of multiple quadrotors. The results demonstrate the framework’s ability to generate real-time, collision-free flight paths at low computational costs.
Data-Driven AI Model for Turbomachinery Compressor Aerodynamics Enabling Rapid Approximation of 3D Flow Solutions
Authors: Aulich Marcel , Goinis Georgios , Voß Christian
Published: September 2024

The development of new turbomachinery designs requires numerous time-consuming and computationally intensive computational fluid dynamics (CFD) calculations. However, most of the generated high spatial resolution data remain unused at later development steps. That is also the case with automated optimization processes that use only a few integral values to determine objectives and constraints. To make further use of this vast amount of CFD data a data-driven AI model based on the Transformer architecture is developed and trained using the available CFD data. The presented method subsequently provides a fast approximation of the 3D flow for new designs. In this paper, the structure of the developed AI model is presented and the approximation quality is analyzed using a complex, state-of-the-art compressor test case. It is shown that the AI model can reproduce many characteristics of the 3D flow of new designs, and performance measures such as efficiency can be derived from these flow predictions. In addition, the complex test case revealed that greater design variation reduces the AI approximation quality which can lead to undesirable exploratory behavior in an optimization setup. Overall, the test case has shown promising results and has provided hints for further improvements to the AI model.
Maize Class C Heat Shock Factor ZmHSF21 Improves the High Temperature Tolerance of Transgenic Arabidopsis
Authors: Xie Yurong , Ye Yuhan
Published: September 2024

High temperatures seriously threaten the global yield of maize. The objectives of the present study were to explore the key candidate gene involved in heat shock responses in maize and its potential biological function to heat stress. Here, we identified a Class C heat shock factor, ZmHSF21, from maize leaves and used molecular biological and plant physiological assays to investigate its roles in transgenic Arabidopsis. ZmHSF21 encodes a putative protein of 388 amino acids. We showed that ZmHSF21 was expressed in most tissues of maize with relatively high expression in leaves and silks but rather low in roots and stalks, and its expression level in leaves was significantly up-regulated by heat treatment. We also showed that overexpression of ZmHSF21 in Arabidopsis significantly improved the seed germination frequency and plant survival rate when exposed to heat stress. We demonstrated that, compared with wild-type plants, the activities of peroxidase, superoxide dismutase, and catalase increased while the reactive oxygen species accumulation decreased in ZmHSF21 overexpressors under heat stress conditions. We further demonstrated that ZmHSF21 promoted the transcriptional level of AtAPX2, AtGolS1, and several AtHSPs. Collectively, the first-class C HSF in maize (ZmHSF21) is cloned in this study, and the combined results suggest that ZmHSF21 is a positive regulator of heat shock response and can be applied to develop maize high-temperature-tolerant varieties for more yield.
Effects of Different Processing Methods on the Antinutritional Factors Present in Mungbean (Vigna radiata L.)
Authors: Pokharel Upendra , Adhikari Niraj , Gautam Navin , Poudel Resma , Timsina Prekshya , Dangal Anish , Giuffrè Angelo Maria
Published: September 2024

The main aim of this study was to determine the effects of different processing methods on the antinutritional factors of mungbean (Vigna radiata L.) of the Pusa Baisakhi variety. The values obtained were as follows: tannin 477 mg/100 g, oxalate 227 mg/100 g, phytate 627 mg/100 g, total phenolic content 772 mg/100 g, and saponin 2618 mg/100 g in raw mungbean, on a dry basis. The maximum reduction in tannin (63%) was observed when the mungbean was processed by the soaking and dehulling processes. The reduction achieved by soaking for 12 h and germination for 36 h was the most effective method in reducing the phytate content of mungbean (39%). The maximum reduction in saponin (22%) and oxalate (71%) was observed by autoclaving the soaked seeds. In comparison to other methods, roasting was the least effective method to reduce tannin, phytate, and oxalate. Autoclaving of the soaked seeds was the most effective method for reducing the antinutrients of mungbean among the cooking treatments. The processing methods such as soaking, dehulling, germination, roasting, raw open cooking, raw autoclaving, soaked open cooking, and autoclaving of soaked seeds significantly reduced the antinutrient contents of mungbean (p < 0.05). However, the effects of the treatments combined were more effective than those of the single process.
Correction: Crespo-Cajigas et al. Development of a Paper-Based Sol–Gel Vapochromic Sensor for the Detection of Vapor Cross-Contamination within a Closed Container. Analytica 2024, 5, 295–310
Authors: Crespo-Cajigas Janet , Kabir Abuzar , Carrasco Joel , Shahid Amatullah , Furton Kenneth G. , DeGreeff Lauryn E.
Published: September 2024

Addition of Two Authors [...]
Analysis of Aceclofenac, Ketorolac, and Sulindac in Human Urine Using the Microemulsion Electrokinetic Chromatography Method
Authors: Hermawan Dadan , Mohd Yatim Izdiani , Wan Ibrahim Wan Aini , Abdul Keyon Aemi Syazwani , Cacu  , Riswoko Asep , Laksmono Joddy Arya
Published: September 2024

A method to determine aceclofenac, ketorolac, and sulindac in human urine samples using microemulsion electrokinetic chromatography (MEEKC) has been developed in this study. The optimization of MEEKC conditions was carried out by changing the microemulsion compositions including the buffer pH, borate salt concentration, surfactant concentration, co-surfactant concentration, organic modifier concentration, and oil droplet concentration. The optimum separation of selected drugs was obtained with a composition of microemulsion containing 10 mM borate buffer pH 9, 0.5% sodium dodecyl sulphate (SDS), 6.6% n-butanol, 6.0% acetonitrile, and 0.8% ethyl acetate. Excellent linearity was obtained in the range concentration of 25 to 200 ppm with r2 > 0.999. Limits of detection (LOD, S/N = 3) and limits of quantification (LOQ, S/N = 10) were 2.72 to 4.75 and 9.08 to 15.85 ppm, respectively. The solid-phase extraction (SPE) method using C-18 as an adsorbent and the solid phase micro-tip extraction (SPMTE) method using multiwalled carbon nanotubes (MWCNTs) as an adsorbent were used to clean-up and pre-concentrate the urine samples prior to the MEEKC analysis. The best recoveries of the selected drugs in the spiked urine sample were 91 to 103% with RSD of 1.26 to 4.03% (n = 3) using the SPE-MEEKC method.
Suppression of the Excitability of Nociceptive Secondary Sensory Neurons Following Systemic Administration of Astaxanthin in Rats
Authors: Chida Risako , Yamaguchi Sana , Utugi Syogo , Sashide Yukito , Takeda Mamoru
Published: September 2024

Although astaxanthin (AST) has demonstrated a modulatory effect on voltage-gated Ca2+ (Cav) channels and excitatory glutamate neuronal transmission in vitro, particularly on the excitability of nociceptive sensory neurons, its action in vivo remains to be determined. This research sought to determine if an acute intravenous administration of AST in rats reduces the excitability of wide-dynamic range (WDR) spinal trigeminal nucleus caudalis (SpVc) neurons in response to nociceptive and non-nociceptive mechanical stimulation in vivo. In anesthetized rats, extracellular single-unit recordings were carried out on SpVc neurons following mechanical stimulation of the orofacial area. The average firing rate of SpVc WDR neurons in response to both gentle and painful mechanical stimuli significantly and dose-dependently decreased after the application of AST (1–5 mM, i.v.), and maximum suppression of discharge frequency for both non-noxious and nociceptive mechanical stimuli occurred within 10 min. These suppressive effects persisted for about 20 min. These results suggest that acute intravenous AST administration suppresses the SpVc nociceptive transmission, possibly by inhibiting Cav channels and excitatory glutamate neuronal transmission, implicating AST as a potential therapeutic agent for the treatment of trigeminal nociceptive pain without side effects.
Tea Polyphenols Inhibit Methanogenesis and Improve Rumen Epithelial Transport in Dairy Cows
Authors: Teng Zhanwei , Liu Shuai , Zhang Lijie , Zhang Liyang , Liu Shenhe , Fu Tong , Zhang Ningning , Gao Tengyun
Published: September 2024

This study systematically investigated the effects of tea polyphenols on methane (CH4) production and the rumen epithelial cell transport capability in cattle using both in vitro and animal experiments, employing multi-omics techniques. The in vitro results demonstrated that, compared to the control group, tea polyphenols significantly reduced CH4 production and the acetate/propionate ratio (p < 0.05). Tea polyphenols reduced CH4 production by inhibiting the relative abundance of unclassified_d_Archaea methanogens and the protozoa Pseudoentodinium and g__Balantioides. The animal experiments showed that tea polyphenols significantly increased the concentrations of T-AOC and GSH-PX in bovine blood (p < 0.05). In addition, microbial groups such as Rikenellaceae_RC9_gut_group, Ruminococcaceae_NK4A214_group, and Butyrivibrio_2 were significantly enriched in the ruminal fluid of the tea polyphenol group (p < 0.05). The proteomic results indicated significant upregulation of proteins such as COIII, S100A8, FABP1, SLC2A8, and SLC29A1 (p < 0.05) and downregulation of proteins including HBB, RAB4A, RBP4, LOC107131172, HBA, and ZFYVE19 (p < 0.05), with FABP1 showing a positive correlation with propionate concentration, and RAB4A had a negative correlation (p < 0.05). Overall, tea polyphenols modulate the microbial composition within the rumen, inhibiting CH4 production and enhancing the host’s rumen epithelial cell transport capacity for volatile fatty acids.
The Welfare of Dogs and Cats in the European Union: A Gap Analysis of the Current Legal Framework
Authors: Contalbrigo Laura , Normando Simona , Bassan Emma , Mutinelli Franco
Published: September 2024

Companion animals, especially dogs and cats, have increasingly been recognized as moral subjects and valued as family members by European citizens. This new role encourages policy makers to face the many companion animals’ welfare issues not yet covered by the EU legislation. The main gaps in the protection of dog and cat welfare during their all lifespan have been identified: unhealthy and unethical breeding practices, irresponsible sale and ownership, transport for commercial and non-commercial purposes, training methods, working dog conditions and rights, regulation of dog and cat shows and competitions, the therapeutic neglect, dog and cat end-of-life care, shelter management legislation and the free-ranging cat and dog population rights. The EU legislation framework is still very weak and far from establishing a harmonized approach, promoting a high standard of care and protection across Member States. We conclude that education and awareness regarding responsible pet ownership and the need for a One Welfare approach have a high value in finding adequate solutions, especially when poor human social welfare affects companion animal welfare. Given the link between human and companion animal welfare, the use of stakeholders’ involvement strategies and a transdisciplinary approach appear crucial for the development of an EU legal framework for the well-being of dogs and cats.
Impaired Upper Airway Muscle Function with Excessive or Deficient Dietary Intake of Selenium in Rats
Authors: Burns David P. , Drummond Sarah E. , Wölfel Stefanie , Murphy Kevin H. , Szpunar Joanna , O’Halloran Ken D. , Mackrill John J.
Published: September 2024

Obstructive sleep apnoea (OSA) involves impaired upper airway muscle function and is linked to several pathologies including systemic hypertension, daytime somnolence and cognitive decline. Selenium is an essential micronutrient that exerts many of its effects through selenoproteins. Evidence indicates that either deficient or excessive dietary selenium intake can result in impaired muscle function, termed nutritional myopathy. To investigate the effects of selenium on an upper airway muscle, the sternohyoid, rats were fed on diets containing deficient, normal (0.5 ppm sodium selenite) or excessive (5 ppm selenite) selenium for a period of two weeks. Sternohyoid contractile function was assessed ex vivo. Serum selenium levels and activity of the glutathione antioxidant system were determined by biochemical assays. The abundance of three key muscle selenoproteins (selenoproteins -N, -S and -W (SELENON, SELENOS and SELENOW)) in sternohyoid muscle were quantified by immunoblotting. Levels of these selenoproteins were also compared between rats exposed to chronic intermittent hypoxia, a model of OSA, and sham treated animals. Although having no detectable effect on selected organ masses and whole-body weight, either selenium-deficient or -excessive diets severely impaired sternohyoid contractile function. These changes did not involve altered fibre size distribution. These dietary interventions resulted in corresponding changes in serum selenium concentrations but did not alter the activity of glutathione-dependent antioxidant systems in sternohyoid muscle. Excess dietary selenium increased the abundance of SELENOW protein in sternohyoid muscles but had no effect on SELENON or SELENOS. In contrast, chronic intermittent hypoxia increased SELENON, decreased SELENOW and had no significant effect on SELENOS in sternohyoid muscle. These findings indicate that two-week exposure to selenium-deficient or -excessive diets drastically impaired upper airway muscle function. In the sternohyoid, SELENON, SELENOS and SELENOW proteins show distinct alterations in level following exposure to different dietary selenium intakes, or to chronic intermittent hypoxia. Understanding how alterations in Se and selenoproteins impact sternohyoid muscle function has the potential to be translated into new therapies for prevention or treatment of OSA.
Extraction, Characterization, and In Vitro Biological Activity of Polyphenols from Discarded Young Fig Fruits Based on Deep Eutectic Solvents
Authors: Zhang Qinqiu , Peng Yue , Xu Yi , Li Fan , Liu Shuxiang , Bukvicki Danka , Zhang Qing , Lin Shang , Wang Miaomiao , Zhang Tianyi , Wu Dingtao , Qin Wen
Published: September 2024

(1) Background: Discarded young fig fruits (DYFFs) result in a waste of resources, such as sparse fruits and residual fruits, and there has been no research on the relationship between phenolic compounds and biological activity in DYFFs (2) Methods: Different deep eutectic solvents (DESs) and 80% ethanol were used to prepare DYFF extracts, and polyphenol extraction efficiency and bioactivities in the DYFFs extracts were compared. (3) Results: More than 1700 phytochemicals were identified in DYFFs, and thirteen of these typical phenolic compounds were analyzed quantitatively; chlorogenic acid, rutin, luteolin 8-C-glucoside, and epicatechin are the main polyphenols in DYFFs, especially chlorogenic acid with 2720–7980 mg/kg. Ferulic acid, caffeic acid, epicatechin, (+)-catechin, luteolin 8-C-glucoside, rutin, hesperetin, and chlorogenic acid showed different degrees of correlation with in vitro antioxidant activity. Moreover, the highest total phenol content found in the extracts of ChCl-Ethylene glycol (Choline chloride:Ethylene glycol = 1:2) was 8.88 mg GAE/g DW, and all quantitatively analyzed phenolic compounds had high levels in various DESs and 80% ethanol. The 80% ethanol and Choline chloride (ChCl) solvent system showed the greatest antioxidant properties, and the Choline chloride-Urea (Choline chloride: Urea = 1:2) extract of DYFFs exhibited the highest inhibitory activity. (4) Conclusions: DESs have demonstrated potential as promising green solvents, especially the ChCl solvent system, which facilitates the extraction of polyphenols.
Coenzyme Q10 Improves the Post-Thaw Sperm Quality in Dwarf Surfclam Mulinia lateralis
Authors: Xu Zhen , Yang Zujing , Bao Lisui , Lu Bei , Li Xiaoxu , Zhan Xin , Huang Xiaoting , Liu Yibing
Published: September 2024

Previous studies have shown that post-thaw sperm performance is affected by multiple stressors during cryopreservation, such as those induced by physical, chemical, mechanical and physiological changes. One of these is the balance disturbance between the antioxidant defense system and reactive oxygen species (ROS) production. This study investigated whether this disturbance could be alleviated by the addition of different antioxidants to cryoprotective solution [8% dimethyl sulfoxide (DMSO) in 1 µm filtered seawater] optimized for the sperm in dwarf surf clam Mulinia lateralis, the model bivalve species used in many different types of studies. Results showed that the addition of 20 μM coenzyme Q10 (Q10) to 8% DMSO achieved a D-stage larval rate similar to that of the fresh control at a sperm-to-egg ratio at least 50% less than the 8% DMSO treatment alone. The addition of other antioxidants (glycine, melatonin and polyvinylpyrrolidone) did not have any positive effects. The improvement in post-thaw sperm quality by Q10 could be due to its ability to significantly decrease ROS production and lipid peroxidation and significantly increase the motility, plasma membrane integrity, mitochondrial membrane potential, acrosome integrity, DNA integrity and activities of catalase and glutatione. In this study, 37 fatty acids (FAs) were quantified in dwarf surf clam sperm, with 21 FAs being significantly impacted by the cryopreservation with 8% DMSO. Thirteen of these 21 FAs were changed due to the addition of 20 μM Q10 to 8% DMSO, with approximately half of them being improved significantly toward the levels of fresh control, while the remaining half extended further from the trends shown with 8% DMSO treatment. However, no significant difference was found in the percentage of each FA category sum and the ratio of unsaturated/saturated FAs between the two treated groups. In conclusion, the antioxidant Q10 has shown the potential to further improve the sperm cryopreservation technique in bivalves.
Multi-Source Image Fusion Based on BEMD and Region Sharpness Guidance Region Overlapping Algorithm
Authors: Guo Xiao-Ting , Duan Xu-Jie , Kong Hui-Hua
Published: September 2024

Multi-focal image and multi-modal image fusion technology can fully take advantage of different sensors or different times, retaining the image feature information and improving the image quality. A multi-source image fusion algorithm based on bidimensional empirical mode decomposition (BEMD) and a region sharpness-guided region overlapping algorithm are studied in this article. Firstly, source images are decomposed into multi-layer bidimensional intrinsic mode functions (BIMFs) and residuals from high-frequency layer to low-frequency layer by BEMD. Gaussian bidimensional intrinsic mode functions (GBIMFs) are obtained by applying Gaussian filtering operated on BIMF and calculating the sharpness value of segmented regions using an improved weighted operator based on the Tenengrad function, which is the key to comparison selection and fusion. Then, the GBIMFs and residuals selected by sharpness comparison strategy are fused by the region overlapping method, and the stacked layers are weighted to construct the final fusion image. Finally, based on qualitative evaluation and quantitative evaluation indicators, the proposed algorithm is compared with six typical image fusion algorithms. The comparison results show that the proposed algorithm can effectively capture the feature information of images in different states and reduce the redundant information.
Design and Performance Evaluation of an In Situ Online Soil Electrical Conductivity Sensor Prototype Based on the High-Performance Integrated Chip AD5941
Authors: Song Runze , Zhang Man
Published: September 2024

Soil electrical conductivity has an important influence on the growth and development of plants. The existing real-time soil electrical conductivity detection device is affected by temperature, inconvenient to use, expensive, etc.; therefore, based on the classical four-terminal method of soil electrical conductivity detection principle, in this study, we aim to improve the limitations of the constant current source, selecting the high-performance integrated chip AD5941, optimizing the detection circuit and probe structure, improving the achievability of the detection circuit, and designing a type of in situ on-line real-time access to a soil electrical conductivity detection device, and improve the detection accuracy by temperature compensation. In this paper, dynamic performance, steady state performance, radial sensitivity range, and calibration test are carried out for the soil electrical conductivity detection prototype. The test results show that the dynamic response speed of the prototype is less than 50 ms, the steady state error is not more than ±2%, and the radial measurement sensitivity range is 8~10 cm. A comparison with the commercial sensor shows that the linear fit of the two measurements reaches 0.9995, and the absolute error ranges from −61.40 µS/cm to 23.90 µS/cm, with a relative error range of −1.94~1.86%. It shows that the performance of the two sensors is comparable, but the quality/price ratio of the prototype is much higher than that of the commercialized product. In this study, it is demonstrated that a high-precision, low-cost, and easy-to-use in situ online soil electrical conductivity detection device can be provided for agricultural and forestry production.
Enhanced Scratch Detection for Textured Materials Based on Optimized Photometric Stereo Vision and Fast Fourier Transform–Gabor Filtering
Authors: Yue Yaoshun , Sang Wenpeng , Zhai Kaiwei , Lin Maohai
Published: September 2024

In the process of scratch defect detection in textured materials, there are often problems of low efficiency in traditional manual detection, large errors in machine vision, and difficulty in distinguishing defective scratches from the background texture. In order to solve these problems, we developed an enhanced scratch defect detection system for textured materials based on optimized photometric stereo vision and FFT-Gabor filtering. We designed and optimized a novel hemispherical image acquisition device that allows for selective lighting angles. This device integrates images captured under multiple light sources to obtain richer surface gradient information for textured materials, overcoming issues caused by high reflections or dark shadows under a single light source angle. At the same time, for the textured material, scratches and a textured background are difficult to distinguish; therefore, we introduced a Gabor filter-based convolution kernel, leveraging the fast Fourier transform (FFT), to perform convolution operations and spatial domain phase subtraction. This process effectively enhances the defect information while suppressing the textured background. The effectiveness and superiority of the proposed method were validated through material applicability experiments and comparative method evaluations using a variety of textured material samples. The results demonstrated a stable scratch capture success rate of 100% and a recognition detection success rate of 98.43% ± 1.0%.
Evaluating the Robot Inclusivity of Buildings Based on Surface Unevenness
Authors: Borusu Charan Satya Chandra Sairam , Yeo Matthew S. K. , Zeng Zimou , Muthugala M. A. Viraj J. , Budig Michael , Elara Mohan Rajesh , Wang Yixiao
Published: September 2024

Mobile service robots experience excessive vibrations when travelling over uneven surfaces in their workspace, increasing the degradation rate of the mechanical components or disrupting the robot’s sensing abilities for proper localization and navigational capabilities. Robot inclusivity principles can determine the suitability of a site for robot performance by considering the ground’s unevenness. This paper proposes a novel framework to autonomously evaluate the Robot Inclusivity Level of buildings based on surface unevenness (RIL-SU) by quantifying the surface unevenness of floor surfaces. The surface unevenness values are converted to RIL-SU using a rule-based approach, and the corresponding RIL-SU is tagged to the map location. A coloured heatmap based on the RIL-SU values is created as a visual representation of the RIL-SU of a given space. This heatmap would be useful for modifying the environment to make it more robot-friendly or restrict the robot’s operation in certain areas to avoid possible robot failures. The experimental results show that the proposed framework can successfully generate a valid RIL-SU heatmap for building environments.
Novel Aromatic Estolide Esters from Biobased Resources by a Green Synthetic Approach
Authors: Tămaș Andra , Bîtcan Ioan , Nițu Sabina , Paul Cristina , Benea Ioana Cristina , Rusu Gerlinde Iuliana , Perot Elline , Peter Francisc , Todea Anamaria
Published: September 2024

The use of vegetable oils and their derivatives for polymer synthesis has been a major focus in recent years due to their universal availability, low production costs and biodegradability. In this study, the enzymatic synthesis of oligoesters of ricinoleic acid obtained from castor oil combined with three aromatic natural derivatives (cinnamyl alcohol, sinapic acid, and caffeic acid) was investigated. The formation of the reaction products was demonstrated by FT-IR, MALDI-TOF MS and NMR spectroscopy and for the oligo (ricinoleyl)-caffeate the thermal properties and biodegradability in sweet water were analyzed and a rheological characterization was performed. The successful enzymatic synthesis of oligoesters from ricinoleic acid and aromatic monomers using lipases not only highlights the potential of biocatalysis in green chemistry but also contributes to the development of sustainable and biodegradable methods for synthesizing products with potential applications as cosmetic ingredients.
Microencapsulation of Blueberry (Vaccinium myrtillus L.) Extracts via Ionotropic Gelation: In Vitro Assessment of Bioavailability of Phenolic Compounds and Their Activity against Colon Cancer Cells
Authors: Żurek Natalia , Świeca Michał , Pawłowska Agata , Kapusta Ireneusz Tomasz
Published: September 2024

The aim of the study was to design microcapsules with a core of blueberry fruit extracts (Vaccinium myrtillus L.) using the ionotropic gelation method and then assess the effect of the type of extracts used and the combination of polymers on the profile of phenolic compounds, their in vitro bioavailability, stability during storage, as well as their antioxidant characteristics and cytotoxic activity against colon cancer cells while assessing biocompatibility against normal colon epithelial cells. Encapsulation efficiency (EE), ranging from 8.79 to 74.55%, significantly depended on the extract used and the type of carrier. It was shown that the addition of pectin (Pect) and whey protein isolate (WPI) to alginate (Alg) improved the efficiency of the encapsulation process. For this version of microcapsules, the highest antioxidant activity, phenolic compound content and their stability during storage were also demonstrated. The estimated content of phenolic compounds ranged from 0.48 to 40.07 mg/g, and the dominant compound was cyanidin 3-O-glucoside. In turn, the highest bioavailability of these compounds and the highest cytotoxic activity against cancer cells were characterized by microcapsules with Alg and WPI. Nevertheless, good biocompatibility with normal colon epithelial cells was demonstrated for all versions of microcapsules. The obtained data indicate that the tested variants of microcapsules protect the bioactive compounds of blueberry fruit extracts, which translates into maintaining their health-promoting properties.
Antimicrobial Properties and Cytotoxic Effect Evaluation of Nanosized Hydroxyapatite and Fluorapatite Dedicated for Alveolar Bone Regeneration
Authors: Zakrzewski Wojciech , Rybak Zbigniew , Pajączkowska Magdalena , Nowicka Joanna , Szymonowicz Maria , Rusak Agnieszka , Wiglusz Rafał J. , Szyszka Katarzyna , Chmielowiec Jacek , Chodaczek Grzegorz , Kujawa Krzysztof , Mielan Bartosz , Dobrzyński Maciej
Published: September 2024

Background: Alveolar bone augmentation is a complex process influenced by a multitude of factors. The materials applied in augmentation procedures must be confirmed as non-toxic, and their physicochemical properties should allow proper bone reconstruction. The specifics of oral surgical procedures require the use of regenerative biomaterials with antimicrobial properties. This study focuses on the physicochemical characteristics of chosen nanosized biomaterials, as well as their cytotoxicity and antimicrobial properties. Methods: nanosized hydroxyapatite and fluorapatite (abbreviated as nHAp and nFAp) pellets were manufactured using a microwave hydrothermal synthesis method. The impact on Candida albicans, Streptococcus mutans, and Lactobacillus rhamnosus strains activity and adherence to apatites was tested. Cytotoxic evaluation was performed based on the differentiation process of MC3T3 cells. The effectiveness of MC3T3 differentiation was confirmed by Alizarin Red staining. Results: Contact with both biomaterials caused a reduction in the mean microbial count of S. mutans and C. albicans strains, as observed. Studied biomaterials demonstrated enhanced proliferation of MC3T3 cells, with the exception of the 1:1 nFAp concentration. Conclusions: Both biomaterials enhance the proliferation of fibroblasts and limit the activity of specific oral pathogens in vitro. The research clearly demonstrates the advantage of nFAp over nHAp, with a notable reduction in microbial count of Candida albicans and Streptococcus mutans over time. The lowest microbial count reduction was observed in the case of L. rhamnosus. Further research is required in order to fully understand the specifics of nHAp and nFAp antimicrobial action. However, the results were found to be more favourable for nFAp biomaterial.