bluuebunny/crossref_metadata_2025 huggingface dataset:
How often do you cheat? Dispositional influences and intrapersonal stability of dishonest behavior
Authors: Leisge Kai , Kaczmarek Christian , Schaefer Sabine
Published: June 2024

Dishonesty, including lying, cheating, deception, and deviating from societal norms, has far-reaching implications across various aspects of modern society. From minor consequences like social discontent to severe outcomes such as economic damage through tax evasion, dishonest behavior affects us in multiple ways. This study investigates whether gender and psychological traits contribute to dishonest behavior, and whether unethical conduct is stable across diverse tasks. We examined 63 participants using a “Difference Spotting Task” (DST) and two motor tasks (1. coordinative throwing; 2. isometric strength). Dishonesty was measured by comparing self-reported performance with actual performance, allowing for a comprehensive analysis of both occurrence and extent of dishonesty. Our findings indicate that gender does not significantly influence the occurrence or extent of dishonest behavior. Moreover, we discovered that “Social Desirability” positively influences the extent of dishonesty, while “Task Orientation” increases the likelihood of engaging in dishonest acts. The study also reveals that the level of dishonesty remains relatively stable across all three tasks at an intrapersonal level.
What does it mean for consciousness to be multidimensional? A narrative review
Authors: Páleník Julie
Published: June 2024

A recent development in the psychological and neuroscientific study of consciousness has been the tendency to conceptualize consciousness as a multidimensional phenomenon. This narrative review elucidates the notion of dimensionality of consciousness and outlines the key concepts and disagreements on this topic through the viewpoints of several theoretical proposals. The reviewed literature is critically evaluated, and the main issues to be resolved by future theoretical and empirical work are identified: the problems of dimension selection and dimension aggregation, as well as some ethical considerations. This narrative review is seemingly the first to comprehensively overview this specific aspect of consciousness science.
Brain functional training: a perspective article
Authors: Da Silva-Grigoletto Marzo Edir , Pereira-Monteiro Marcos Raphael , Aragão-Santos José Carlos , Vasconcelos Alan Bruno Silva , Marcos-Pardo Pablo Jorge , Fortes Leonardo de Sousa
Published: June 2024

Introduction: Physical exercise (PE) positively affects the nervous system, impacting morphology and physiology. It increases brain gray and white matter, improves cerebral blood flow, and stimulates neurogenesis, synaptogenesis, and angiogenesis, promoting brain function. Although exercise already affects cognition, some training modalities place greater demands on the cognitive aspects of physical exercise, such as perceptual-motor and visual-motor training. This type of approach aims to emphasize the cognitive adaptations that occur chronically. Specifically for older people, functional training, a multi-component approach, is a promising exercise modality that stimulates functionality using multi-joint, multi-planar exercises mirroring daily activities. However, applying a greater focus on cognitive adaptations in line with the functional training proposal for maximal benefits remains underexplored.

Aim: Thus, this perspective article initially explores different exercise approaches emphasizing cognitive adaptations and proposes Brain Functional Training to improve older adult’s functionality.

Methods: Furthermore, we explain how brain functional training can be explored to emphasize cognitive aspects based on increasing complexity to stimulate the executive function and its subdomains.

Conclusion: This proposal is one alternative to combining motor and cognitive stimuli to promote autonomy and health in older people.
The factors associated with the knowledge of brushing teeth with fluoridated toothpaste among high school students in Al-Madinah, Saudi Arabia
Authors: Kassim Saba , Alsharif Alla T.
Published: June 2024

Objective

The use of fluoridated toothpaste (FT) is essential for controlling caries. This analytical cross-sectional study aimed to determine the proportion of students who brushed their teeth with fluoridated toothpaste/or do not know the content at least once a day and to determine the factors associated with the knowledge of brushing teeth with FT.

Methods

An anonymous questionnaire was distributed during the academic year 2019–2020 among 439 high school students. The data collected included sociodemographic characteristics and oral-health–related variables [e.g., brushing teeth, knowledge of the effect of fluoride on caries (KEFC) and dental service utilisation (DSU)]. The dependent variable was the knowledge of using FT when brushing teeth (Yes or do not know). Descriptive, bivariate, and logistic regression analysis were performed.

Results

The response rate was 98% (n = 432) and usable data was 88% (n = 385). The median (IQR) age of the students was 16.00 (1) years, and 190 (47%) were males. Eighty eight percent of the students brushed their teeth with toothpaste daily with no knowledge of toothpaste content and only 86 (21.8%) knew the content of the toothpaste used for brushing their teeth i.e., FT. The multivariable analyses revealed an association of family income and KEFC with brushing teeth with FT [adjusted odds ratio (AOR): 1.98, 95% confidence interval (CI): 1.14–3.43, p = 0.015 and AOR = 6.11, 95% CI: 3.45–10.83, p < 0.001, respectively].

Conclusions

While the brushing and use of toothpaste among high school students was common, the knowledge of the content of toothpaste used for brushing teeth was less common and was associated with family income and KEFC.
Integrated Transcriptome and GWAS Analysis to Identify Candidate Genes for Ustilago maydis Resistance in Maize
Authors: Yin Bingyu , Xu Linjie , Li Jianping , Zheng Yunxiao , Song Weibin , Hou Peng , Zhu Liying , Jia Xiaoyan , Zhao Yongfeng , Song Wei , Guo Jinjie
Published: June 2024

Maize Ustilago maydis is a disease that severely affects maize yield and quality. In this paper, we employed transcriptome sequencing and GWAS analysis to identify candidate genes and reveal disease-resistant germplasm resources, thereby laying the foundation for further analysis of the molecular mechanism of maize Ustilago maydis resistance and genetic improvement. The results of transcriptome sequencing revealed that a considerable number of receptor kinase genes, signal-transduction-related protein genes, redox-response-related genes, WRKYs, and P450s genes were significantly upregulated. There was a wide range of mutations of Ustilago maydis in maize inbred lines. Thirty-two high-resistance maize inbred lines were selected, and 16 SNPs were significantly associated with the disease index. By integrating the results of GWAS and RNA-seq, five genes related to disease resistance were identified, encoding the chitinase 1 protein, fatty acid elongase (FAE), IAA9, GATA TF8, and EREB94, respectively. It provides a certain reference for the cloning of maize anti-tumor smut genes and the breeding of new varieties.
Globalization versus Regionalization in Agri-Food Exports from Spain and Portugal
Authors: Moral-Pajares Encarnación , Zozaya-Montes María , Gallego-Valero Leticia
Published: June 2024

Spain and Portugal, two countries located in southern Europe, share a significant export specialization in agricultural and agri-food products compared to the EU-27 as a whole. Based on arguments drawn from the literature and information provided by Eurostat, this paper first identifies the characteristics of the dynamics of sales of agri-food products in the international market for the two Iberian Peninsula economies between 2008 and 2022, a period marked by the introduction of restrictions on foreign trade flows worldwide. Secondly, using panel data methodology, it examines how imports by EU-27 partners influence this trajectory. The results confirm the strengthening of export specialization in these two countries, which sell a wide variety of agri-food products in international markets. Additionally, in the case of Spain, the estimated concentration indices show a spatial diversification process towards new destinations. In both economies, however, the EU-27 market, characterized by strong competition and low development expectations, continues to influence export trends in the short and medium terms. Consequently, institutions and companies in the sector must adopt a more dynamic approach and implement actions aimed at facilitating access to new export destinations and consolidating business there. Thus, an increasing share of their exports should be reoriented towards markets with higher demand growth, helping to reinforce the global competitiveness of the national agri-food sector. This research contributes to the scientific literature on the medium- and long-term effects of economic integration processes on the exports of agri-food products of member countries.
Augmented Reality Glasses Applied to Livestock Farming: Potentials and Perspectives
Authors: Sara Gabriele , Pinna Daniele , Todde Giuseppe , Caria Maria
Published: June 2024

In the last decade, Smart Glasses (SG) and augmented reality (AR) technology have gained considerable interest in all production sectors. In the agricultural field, an SG can be considered a valuable device to support farmers and agricultural operators. SGs can be distinguished by technical specification, type of display, interaction system, and specific features. These aspects can affect their integration into farms, influencing users’ experience and the consequent level of performance. The aim of the study was to compare four SGs for AR with different technical characteristics to evaluate their potential integration in agricultural systems. This study analyzed the capability of QR code reading in terms of distance and time of visualization, the audio–video quality of image streaming during conference calls and, finally, the battery life. The results showed different levels of performance in QR code reading for the selected devices, while the audio–video quality in conference calls demonstrated similar results for all the devices. Moreover, the battery life of the SGs ranged from 2 to 7 h per charge cycle, and it was influenced by the type of usage. The findings also underlined the potential use and integration of SGs to support operators during farm management. Specifically, SGs might enable farmers to obtain fast and precise augmented information using markers placed at different points on the farm. In conclusion, the study highlights how the different technical characteristics of SG represent an important factor in the selection of the most appropriate device for a farm.
Development of a Greenhouse Wastewater Stream Utilization System for On-Site Microalgae-Based Biostimulant Production
Authors: Faliagka Sofia , Kountrias Georgios , Dimitriou Eleni , Álvarez-Gil Maria , Blanco-Vieites Mario , Magrassi Fabio , Notari Marta , Pechlivani Eleftheria Maria , Katsoulas Nikolaos
Published: June 2024

The challenges to feed the world in 2050 are becoming more and more apparent. This calls for producing more with fewer inputs (most of them under scarcity), higher resource efficiency, minimum or zero effect on the environment, and higher sustainability. Therefore, increasing the circularity of production systems is highly significant for their sustainability. This study investigates the utilization of waste streams from greenhouse hydroponic drainage nutrient solutions for the cultivation of the microalgae Desmodesmus sp. The cultivation was done in an automatically controlled container-scale closed tubular Photo Bio-Reactor (PBR). The study included lab-scale open-pond system experiments and in situ container-scale experiments in the greenhouse wastewater system to assess biomass growth, optical density, nitrogen consumption, and the influence of enzymatic complexes on microalgae cell breakdown. A batch-harvesting process was followed, and the harvested microalgae biomass was pre-concentrated using FeCl3 as a flocculant that has demonstrated efficient sedimentation and biomass recovery. Following microalgae sedimentation, the produced biomass was used for biostimulant production by means of a biocatalysis process. The enzymatic complexes, “EnzProt”, “EnzCell”, and “EnzMix” were tested for cell breakdown, with “EnzMix” at a dosage of 10% showing the most promising results. The results demonstrate successful biomass production and nitrogen uptake in the lab-scale open-pond system, with promising upscaling results within container-scale cultivation. The findings contribute to a better assessment of the needs of Desmodesmus sp. culture and highlight the importance in optimizing culture conditions and enzymatic processes for the production of biostimulants.
Evaluation of Anti-Infection and Anti-Diabetic Activities in Methanolic and n-Hexane Plant Extracts of Indigenously Cultivated Chenopodium album
Authors: Hussain Ijaz , Janjua Muhammad Ramzan Saeed Ashraf , Haq Atta Ul , Hassan Sadaf Ul , Albaqami Faisal Miqad K. , Alsuwat Meshari A. , Alrashdi Barakat M. , Alzwain Sarah , Naqvi Syed Ali Raza
Published: June 2024

The Asian region of earth has a rich agriculture system that provides extensive opportunities to boost pharmaceutical and nutritional research to address the use of food crops for health benefits and potential clinical applications. The traditionally cropped green leaf vegetable indigenously known as Bathu and botanically known as Chenopodium album (C. album) is traditionally used as a sedative, blood purifier, hepatoprotectant, diuretic, and antiscorbutic laxative. In this study, we investigated the anti-infection potential, anti-diabetic potential, and mineral composition of indigenously cultivated C. album plant extracts. Methanol and n-hexane solvents were used to extract phytochemicals at different extraction conditions. The maximum yield of 12.72 ± 0.36 g/100 g extract was obtained in methanol with 200 rpm shaking, 200 mL solvent, and an 8 h extraction period. Under the same conditions, n-hexane gave 2.09 ± 0.29 g/100 g extract. Good alpha-amylase inhibition efficiency was shown by the n-hexane extracts, while the methanol extracts showed good urease inhibition potential. The H6 extract had the lowest IC50 (8.16 ± 0.2 ug/mL) as compared to the standard acarbose (9.27 ± 0.6 ug/mL). Similarly, the M6 extract revealed a significant urease inhibitory potential, i.e., IC50 of 18.77 ± 0.6 ug/mL, which was close to the standard thiourea (IC50: 19.09 ± 0.7 ug/mL). Regarding the antibacterial study, the M6 extract showed 16.55 ± 0.57 mm ZOI against E. coli and 15.54 ± 0.55 mm in the case of S. aureus, as compared to the standard ciprofloxacin, which showed 26.08 ± 0.73 mm, and penicillin, which showed 21.12 ± 0.81 mm ZOI. Mineral profiling was investigated by ICP-OES, which showed significant amounts of Mg and Fe in all extracts. Our findings tend to show that systematic harvesting and utilization of this vegetable crop could be recommended as an alternative nutritional therapy in the management of internal infections and diabetes.
Carbon Footprint of Brazilian Agriculture Based on Field Operations
Authors: Veiga João P. S. , Popin Gustavo V. , Cerri Carlos E. P. , Romanelli Thiago L.
Published: June 2024

Agriculture has historically relied on fossil fuels as the primary source of energy, leading to significant greenhouse gas (GHG) emissions and exacerbating climate change. Brazil, as the third-largest producer and exporter of agricultural goods globally, plays a pivotal role in the transformation towards more sustainable practices. To this end, we propose a methodology to estimate CO2 equivalent (CO2-eq) emissions in agriculture, leveraging previous research on energy use in 23 crops in Brazil. The methodology aims to facilitate the comparison of emissions across different crops and production systems. Indirect emissions account for 36% of the total, while direct emissions account for 64%. Most direct emissions are due to the consumption of fertilizers and pesticides. The average emission per mass of product was 749.53 kg CO2-eq Mg−1, with cotton having the highest emissions and eucalyptus having the lowest emissions per product. The results highlight the importance of assessing GHG emissions from crops to identify emission reduction opportunities and promoting more sustainable agricultural practices. The study’s findings can inform policy recommendations and contribute to the development of sustainable agriculture practices globally, ultimately leading to a more environmentally friendly and economically viable agricultural sector.
Conditional Sampling of Passive Samplers: Application to the Measurement of 8 h Ozone and Nitrogen Dioxide Concentration
Authors: Allegrini Ivo , Perrino Cinzia , Rantica Elena , Valentini Federica
Published: June 2024

Passive samplers have long been used to measure atmospheric pollutants in both indoor and outdoor environments. They are simple to operate, and can now monitor several chemical species. However, their use is limited because they usually require a long exposition time and provide a mean value that cannot control or evidence expected or non-expected events of environmental significance. A new apparatus specifically developed for exposing Analyst© passive samplers has been used to monitor ozone and nitrogen dioxide by automatically selecting a sampling duration of 8 h, as most legislation requires. The instrument was designed to accumulate ozone or NO2 in one passive sampler for 8 h over each day, and in another passive sampler for the remaining hours. This allows for a long-time accumulation of the 8 h ozone or nitrogen dioxide in a dedicated sampler. Measurements were carried out NE of Rome at a rural site. A description of the experiments is given, with special emphasis on the quality controls. Very low uncertainties and good comparability of the data with the reference methods were obtained for both pollutants.
Structural Insights on Cross-Reactivity of Mite Allergens with Helminth Proteins
Authors: Lisboa Ayrton , Alcantara-Neves Neuza , Aguiar Eric , Pinheiro Carina , Pacheco Luis , da Silva Eduardo
Published: June 2024

Updated notions about the so-called hygiene hypothesis consider now that helminths may have influence in the training of the immune system during childhood. Considering the similar type of immune response between helminth infections and allergic illnesses, the objective of this study was to evaluate how structural and functional conservation between house-dust mite allergens and their helminth orthologs might contribute to the cross-induction of IgE responses in allergies and helminthiasis. Amino acid sequences from group-1, -2, -5, -9, -10, -18, -21, and -23 allergens of the house dust mite Dermatophagoides pteronyssinus were retrieved from curated databases, and orthologs were identified in other mite species and different helminth parasites. We also assessed structural, conservational, functional, and immunologic relationships between these major mite allergens and their helminth counterparts. De novo 3D-modelling, B-cell epitopes prediction, structural conservation, and docking analyses were analyzed by Robetta platform, ElliPro and CBTope, RaptorX, and Z-Dock, respectively. Our results extend previous findings on structural conservations between major allergens and parasite proteins and show that these conservations go beyond the well-known conservations and may account for the observed immunological cross-reactions. This understanding can contribute in the near future to the development of more specific serological testing for mite-induced allergies and helminthiasis.
Effects of Tryptophan Supplementation in Diets with Different Protein Levels on the Production Performance of Broilers
Authors: Xie Kailai , Feng Xiajie , Zhu Shuqing , Liang Jingwen , Mo Yingfen , Feng Xiaohua , Ye Shangwu , Zhou Ying , Shu Gang , Wang Songbo , Gao Ping , Zhu Canjun , Fan Yijie , Jiang Qingyan , Wang Lina
Published: June 2024

Tryptophan plays an important role in the pig industry but has the potential to improve performance in the poultry industry. The purpose of this study was to examine the effects of tryptophan supplementation in diets with different protein levels on the feed intake, average daily gain (ADG), and feed conversion ratio (F/G) of broilers. A total of 180 twenty-one-day-old broilers (half male and half female) were weighed and randomly allocated to twelve groups, with six male and six female groups. Each group consisted of 15 broilers. The broilers were fed low- (17.2%), medium- (19.2%), or high- (21.2%) protein diets with or without extra tryptophan (up to 0.25%) during the 28-day experiment. Food intake and body weight were measured weekly during the trial period. Male broilers fed a medium-protein diet containing more tryptophan showed a lower F/G. In the low-protein diet groups, additional tryptophan caused a significant reduction in the feed intake of female broilers during the first two weeks. Moreover, the serum GLP-1, cholesterol, and bile acid levels, as well as the expression of FXR mRNA in the ileum, were significantly increased. Additionally, the FXR mRNA in the hypothalamus and the GCG and GLP-1R mRNAs in the ileum tended to increase in these broilers. In summary, the tryptophan concentration in the diet can influence the feed intake and metabolism of broilers. Under a standard diet, an appropriate amount of tryptophan is beneficial to the F/G of male broilers, while under a low-protein diet, tryptophan supplementation may cause a short-term reduction in the feed intake of female broilers by increasing serum GLP-1 and bile acid signals.
Genome-Wide Association Study Reveals Novel Candidate Genes Influencing Semen Traits in Landrace Pigs
Authors: Zhuang Zhanwei , Li Kebiao , Yang Kai , Gao Guangxiong , Li Zhili , Zhu Xiaoping , Zhao Yunxiang
Published: June 2024

Artificial insemination plays a crucial role in pig production, particularly in enhancing the genetic potential of elite boars. To accelerate genetic progress for semen traits in pigs, it is vital to understand and identify the underlying genetic markers associated with desirable traits. Herein, we genotyped 1238 Landrace boars with GeneSeek Porcine SNP50 K Bead chip and conducted genome-wide association studies to identify genetic regions and candidate genes associated with 12 semen traits. Our study identified 38 SNPs associated with the analyzed 12 semen traits. Furthermore, we identified several promising candidate genes, including HIBADH, DLG1, MED1, APAF1, MGST3, MTG2, and ZP4. These candidate genes have the potential function to facilitate the breeding of boars with improved semen traits. By further investigating and understanding the roles of these genes, we can develop more effective breeding strategies that contribute to the overall enhancement of pig production. The results of our study provide valuable insights for the pig-breeding industry and support ongoing research efforts to optimize genetic selection for superior semen traits.
Equine Corneal Wound Healing Using Mesenchymal Stem Cell Secretome: Case Report
Authors: Casado-Santos Alejandro , González-Cubero Elsa , González-Fernández Maria Luisa , González-Rodríguez Yaiza , García-Rodríguez Mª Belén , Villar-Suárez Vega
Published: June 2024

Corneal ulcers are a common and potentially vision-threatening condition in horses that can be challenging to treat with conventional therapies alone. This case report describes the successful treatment of a non-healing corneal ulcer in a 28-year-old Hispano-Bretón mare using the secretome derived from adipose tissue-derived mesenchymal stem cells (ASCs). Despite initial treatment with antibiotics, anti-inflammatory drugs, and surgical debridement, the corneal ulcer failed to heal properly, exhibiting persistent epithelial defects and stromal complications. As an alternative regenerative approach, the ASC secretome, a rich source of trophic factors, cytokines, and extracellular vesicles, was topically administered to the affected eye. Remarkably, within one week of secretome treatment, the clinical signs of blepharospasm and epiphora resolved, and the corneal ulcer exhibited complete re-epithelialization, regained transparency, and reduced neovascularization. No recurrence was observed during the 1.5-year follow-up period. This case highlights the potential therapeutic benefits of the ASC secretome in promoting corneal wound healing and suggests its promise as a novel cell-free therapy for treating refractory corneal ulcers in horses.
Ballou’s Ancestral Inbreeding Coefficient: Formulation and New Estimate with Higher Reliability
Authors: Nomura Tetsuro
Published: June 2024

Inbreeding is unavoidable in small populations. However, the deleterious effects of inbreeding on fitness-related traits (inbreeding depression) may not be an inevitable phenomenon, since deleterious recessive alleles causing inbreeding depression might be purged from populations through inbreeding and selection. Inbreeding purging has been of great interest in conservation biology and animal breeding, because populations manifesting lower inbreeding depression could be created even with a small number of breeding animals, if inbreeding purging exists. To date, many studies intending to detect inbreeding purging in captive and domesticated animal populations have been carried out using pedigree analysis. Ballou’s ancestral inbreeding coefficient (FBAL−ANC) is one of the most widely used measurements to detect inbreeding purging, but the theoretical basis for FBAL−ANC has not been fully established. In most of the published works, estimates from stochastic simulation (gene-dropping simulation) have been used. In this report, the author provides a mathematical basis for FBAL−ANC and proposes a new estimate by hybridizing stochastic and deterministic computation processes. A stochastic simulation suggests that the proposed method could considerably reduce the variance of estimates, compared to ordinary gene-dropping simulation, in which whole gene transmissions in a pedigree are stochastically determined. The favorable property of the proposed method results from the bypass of a part of the stochastic process in the ordinary gene-dropping simulation. Using the proposed method, the reliability of the estimates of FBAL−ANC could be remarkably enhanced. The relationship between FBAL−ANC and other pedigree-based parameters is also discussed.
Different Founding Effects Underlie Dominant Blue Eyes (DBE) in the Domestic Cat
Authors: Abitbol Marie , Dufaure de Citres Caroline , Rudd Garces Gabriela , Lühken Gesine , Lyons Leslie A. , Gache Vincent
Published: June 2024

During the last twenty years, minimal white spotting associated with blue eyes was selected by feline breeders to create the Altai, Topaz, and Celestial breeds. Additionally, certain breeders introduced this trait in their lineages of purebred cats. The trait has been called “dominant blue eyes (DBE)” and was confirmed to be autosomal dominant in all lineages. DBE was initially described in outbred cats from Kazakhstan and Russia and in two purebred lineages of British cats from Russia, as well as in Dutch Maine Coon cats, suggesting different founding effects. We have previously identified two variants in the Paired Box 3 (PAX3) gene associated with DBE in Maine Coon and Celestial cats; however, the presence of an underlying variant remains undetermined in other DBE breeding lines. Using a genome-wide association study, we identified a single region on chromosome C1 that was associated with DBE in British cats. Within that region, we identified PAX3 as the strongest candidate gene. Whole-genome sequencing of a DBE cat revealed an RD-114 retrovirus LTR (long terminal repeat) insertion within PAX3 intron 4 (namely NC_018730.3:g.206975776_206975777insN[433]) known to contain regulatory sequences. Using a panel of 117 DBE cats, we showed that this variant was fully associated with DBE in two British lineages, in Altai cats, and in some other DBE lineages. We propose that this NC_018730.3:g.206975776_206975777insN[433] variant represents the DBEALT (Altai Dominant Blue Eye) allele in the domestic cat. Finally, we genotyped DBE cats from 14 lineages for the three PAX3 variants and showed that they were not present in four lineages, confirming genetic heterogeneity of the DBE trait in the domestic cat.
Comparison of Two Intravenous Propofol Doses after Jugular Administration for Short Non-Surgical Procedures in Red-Eared Sliders (Trachemys scripta elegans)
Authors: Bel Lucia Victoria , Selleri Paolo , Turcu Carmen Maria , Cerbu Constantin , Matei Ioana Adriana , Masi Marco , Melega Iulia
Published: June 2024

This study compares the effects of two different doses of propofol administered intravenously (IV), in the jugular vein, to red-eared sliders (Trachemys scripta elegans). In this crossover study, 5 or 10 mg/kg propofol was administered to six Trachemys scripta elegans after cannulation of the jugular vein. Each turtle received each dose, G1 (5 mg/kg IV) and G2 (10 mg/kg IV), after a 7-day washout period. The parameters evaluated were heart rate, palpebral reflex, cloacal reflex, muscle relaxation, ease of handling, sensitivity to anterior and posterior pinch stimuli, and possibility of intubation. Additionally, respiratory rate was measured when possible, and the times from propofol administration to full recovery and from intubation to extubation were recorded. None of the turtles in G1 could be intubated, and this dose provided little relaxation and ease of handling, with a duration of effect until full recovery of 12.16 ± 8.32 (SD) min for this group. In G2, five out of the six turtles could be intubated, and the duration of effect was 32.33 ± 5.85 (SD) min. Heart rates were influenced by manipulation for catheter placement. There were statistically significant differences (p value ≤ 0.05) between the two groups in muscle relaxation degree, handling, cloacal reflex, and possibility of intubation. The 5 mg/kg propofol dose was not sufficient to induce anesthesia, even when administered in the jugular vein, in red-eared sliders. A dose of 10 mg/kg IV or higher should be used.
Feature-Based Molecular Network-Assisted Cannabinoid and Flavonoid Profiling of Cannabis sativa Leaves and Their Antioxidant Properties
Authors: Chen Ling , Li Hong-Ling , Zhou Hong-Juan , Zhang Guan-Zhong , Zhang Ying , Wang You-Mei , Wang Meng-Yuan , Yang Hua , Gao Wen
Published: June 2024

Cannabis sativa (C. sativa) leaves are rich in cannabinoids and flavonoids, which play important antioxidant roles. Since the environmental factors may influence the accumulation of antioxidants in herbal medicines, which affects their activity, this study aimed to investigate the correlation between the chemical composition of C. sativa leaves and their geographical origin and antioxidant activity. Firstly, a high-resolution mass spectrometry method assisted by semi-quantitative feature-based molecular networking (SQFBMN) was established for the characterization and quantitative analysis of C. sativa leaves from various regions. Subsequently, antioxidant activity analysis was conducted on 73 batches of C. sativa leaves, and a partial least squares regression (PLS) model was employed to assess the correlation between the content of cannabinoids and flavonoids in the leaves and their antioxidant activity. A total of 16 cannabinoids and 57 flavonoids were annotated from C. sativa, showing a significant regular geographical distribution. The content of flavonoid-C glycosides in Sichuan leaves is relatively high, and their antioxidant activity is also correspondingly high. However, the leaves in Shaanxi and Xinjiang were primarily composed of flavonoid-O glycosides, and exhibited slightly lower antioxidant activity. A significant positive correlation (p < 0.001) was found between the total flavonoids and cannabinoids and the antioxidant activity of the leaves, and two flavonoids and one cannabinoid were identified as significant contributors.
Exploring the Anti-Inflammatory and Antioxidant Potential, Metabolite Composition and Inorganic Profile of Cistus monspeliensis L. Aerial Parts and Roots
Authors: Mac Sweeney Eileen , Chiocchio Ilaria , Mandrone Manuela , Sanna Cinzia , Bilo Fabjola , Maccarinelli Giuseppina , Popescu Vlad Sebastian , Pucci Mariachiara , Morandini Stefania , Memo Maurizio , Uberti Daniela Letizia , Borgese Laura , Trincia Simona , Poli Ferruccio , Mastinu Andrea , Abate Giulia
Published: June 2024

This work focuses on Cistus monspeliensis L. aerial parts (AP) and roots (R) extracts, investigating the anti-inflammatory and antioxidant potential of the two organs in comparison. At dosages between 1.56 and 6.25 µg/mL, both extracts showed a protective effect against LPS inflammatory stimulus on a macrophage cell line (RAW 264.7). Interestingly, only R was able to significantly reduce both IL-1β and IL-6 mRNA gene expression in the presence of LPS. Moreover, the treatment of a neuroblastoma cell line (SH-SY5Y) with AP and R at 6.25 µg/mL increased the cell survival rate by nearly 20% after H2O2 insult. However, only R promoted mitochondria survival, exhibited a significantly higher production of ATP and a higher activity of the enzyme catalase than the control. Both AP and R had similar primary metabolites; in particular, they both contained 1-O-methyl-epi-inositol. Labdane and methoxylated flavonoids were the most characteristic compounds of AP, while R contained mainly catechins, gallic acid, and pyrogallol derivatives. Considering the importance of elemental composition in plants, the inorganic profile of AP and R was also investigated and compared. No potentially toxic elements, such as Pb, were detected in any sample.
Super-Resolution Reconstruction of an Array Lidar Range Profile
Authors: Liu Xuelian , Zhou Xulang , Xi Guan , Zhuang Rui , Shi Chunhao , Wang Chunyang
Published: June 2024

Aiming at the problem that the range profile of the current array lidar has a low resolution and contains few target details and little edge information, a super-resolution reconstruction method based on projection onto convex sets (POCS) combining the Lucas–Kanade (LK) optical flow method with a Gaussian pyramid was proposed. Firstly, the reference high-resolution range profile was obtained by the nearest neighbor interpolation of the single low-resolution range profile. Secondly, the LK optical flow method was introduced to achieve the motion estimation of low-resolution image sequences, and the Gaussian pyramid was used to perform multi-scale correction on the estimated vector, effectively improving the accuracy of motion estimation. On the basis of data consistency constraints, gradient constraints were introduced based on the distance value difference between the target edge and the background to enhance the reconstruction ability of the target edge. Finally, the residual between the estimated distance and the actual distance was calculated, and the high-resolution reference range profile was iteratively corrected by using the point spread function according to the residual. Bilinear interpolation, bicubic interpolation, POCS, POCS with adaptive correction threshold, and the proposed method were used to reconstruct the range profile of the datasets and the real datasets. The effectiveness of the proposed method was verified by the range profile reconstruction effect and objective evaluation index. The experimental results show that the index of the proposed method is improved compared to the interpolation method and the POCS method. In the redwood-3dscan dataset experiments, compared to the traditional POCS, the average gradient (AG) of the proposed method is increased by at least 8.04%, and the edge strength (ES) is increased by at least 4.84%. In the real data experiments, compared to the traditional POCS, the AG of the proposed method is increased by at least 5.85%, and the ES is increased by at least 7.01%, which proves that the proposed method can effectively improve the resolution of the reconstructed range map and the quality of the detail edges.
Food and Drinking Water as Sources of Pathogenic Protozoans: An Update
Authors: Rossi Franca , Santonicola Serena , Amadoro Carmela , Marino Lucio , Colavita Giampaolo
Published: June 2024

This narrative review was aimed at collecting updated knowledge on the risk factors, illnesses caused, and measures for the prevention of protozoan infections transmitted by food and drinking water. Reports screened dated from 2019 to the present and regarded global prevalence in food handlers, occurrence in food and drinking water, impact on human health, and recently reported outbreaks and cases of severe infections attributable to the dietary route. Cryptosporidium spp., Cyclospora cayetanensis, Entamoeba histolytica, and Cystoisospora belli were the protozoans most frequently involved in recently reported waterborne and foodborne outbreaks and cases. Blastocystis hominis was reported to be the most widespread intestinal protozoan in humans, and two case reports indicated its pathogenic potential. Dientamoeba fragilis, Endolimax nana, and Pentatrichomonas hominis are also frequent but still require further investigation on their ability to cause illness. A progressive improvement in surveillance of protozoan infections and infection sources took place in developed countries where the implementation of reporting systems and the application of molecular diagnostic methods led to an enhanced capacity to identify epidemiological links and improve the prevention of foodborne and waterborne protozoan infections.
Modern Design of Carrier for Overhead Conveyor
Authors: Hruzík Lukáš , Struž Jiří , Trochta Miroslav , Klapetek Lukáš , Pišťáček Daniel
Published: June 2024

Modern industry should apply modern design in the construction of production facilities. This is typically the case with belt production, where parts are moved towards the worker, or when moving parts from the factory to the warehouse and shipping area. There is a relatively high energy consumption associated with moving these parts. The size of the consumption is mainly determined not only by the size of the transported components and the transport technology, but also by the design of the hoppers used for transport. One way to reduce material handling costs is to make the equipment used for moving parts more efficient. A more efficient carrier should, above all, be lighter. Topological optimization can serve very well for this weight reduction. Of course, the reduction in weight not only has an effect on lower power consumption, but also on the wear of other components. Hence, later in this article, we try to quantify these impacts and assess how much benefit the use of a modern designed carrier can bring. It is also important to consider the cost of producing new carriers versus modifying existing ones. The paper describes the application of the modern designed carrier and compares it with the existing carriers as well as modified existing carriers.
More Efficient and Verifiable Privacy-Preserving Aggregation Scheme for Internet of Things-Based Federated Learning
Authors: Shi Rongquan , Wei Lifei , Zhang Lei
Published: June 2024

As Internet of Things (IoT) technology continues to advance at a rapid pace, smart devices have permeated daily life. Service providers are actively collecting copious numbers of user data, with the aim of refining machine learning models to elevate service quality and accuracy. However, this practice has sparked apprehensions amongst users concerning the privacy and safety of their personal data. Federated learning emerges as an evolution of centralized machine learning, enabling a collective training of machine learning models by multiple users on their respective devices. Crucially, this is achieved without the direct submission of data to a central server, thereby significantly mitigating the hazards associated with privacy infringements. Since the machine learning algorithms act locally in federated learning, passing just the local model back to the central server, the users’ data remain locally. However, current research work indicates that local models also include user data privacy-related components. Moreover, current privacy-preserving secure aggregation schemes either offer insufficient accuracy or need significantly high computing resources for training. In this work, we propose an efficient and secure aggregation scheme for privacy-preserving federated learning with lower computational costs, which is suitable for those weak IoT devices since the proposed scheme is robust and fault-tolerant, allowing some of the users to dynamically exit or join the system without restarting the federated learning process or triggering abnormal termination. In addition, this scheme with the property of result verification in the situation when the servers return incorrect aggregation results, which can be verified by the users. Extensive experimental evaluations, based on real-world datasets, have substantiated the high accuracy of our proposed scheme. Moreover, in comparison to existing schemes, ours significantly reduces computational and communication costs by at least 85% and 47%, respectively.
User Experience in Virtual Environments
Authors: Guna Jože , Pivec Maja , Lu Huimin
Published: June 2024

This Special Issue offers a comprehensive examination of extended reality (XR) technologies across various contexts and domains [...]
Measuring Dental Chamber Volume with DICOM Images from Cone-Beam Computed Tomography Can Be Improved with a Simple Algorithm
Authors: Hernández-Alvarez Lucía , Vila-García Iago , Fernández-Muñiz Zulima , Cernea Ana , Hernández-González Luis C. , Cobo Teresa , Vega José A.
Published: June 2024

Knowledge of the precise anatomy and dimensions of the pulp chambers in different teeth allows the odontologist to perform correct diagnosis, as well as treatment planning and monitoring. Clinical practice has introduced cone-beam computed tomography (CB-CT) as a method to evaluate the morphology and dimensions of the pulp chamber. Nevertheless, micro-computed tomography (micro-CT) is regarded as the gold standard in approaching those topics. Here, we have designed an algorithm that takes as input DICOM images from in vivo CB-CT of permanent molars to determine the accuracy of CB-CT for evaluation of pulp chamber volume. The values were compared with those from in vivo CB-CT (rough and expert-manipulated) and ex vivo micro-CT. The relative errors obtained in the volume calculated by the algorithm vs. the volume measured by micro-CT did not exceed 5.7%; additionally, no significant differences were found between algorithm volumes and manipulated CB-CT volumes, while all volumes were different from those obtained with automatic CB-CT software. These data demonstrate that this CB-CT-based volume algorithm may be a reliable technique for evaluation of the pulp chamber volume in permanent molars and can be useful in the diagnosis of pulp diseases, as well as in the planning and monitoring of their treatments.
Magnetoelectric Nanoparticles for Wireless Peripheral Nerve Stimulation: A Computational Study
Authors: Galletta Valentina , Chiaramello Emma , Fiocchi Serena , Parazzini Marta , Ravazzani Paolo
Published: June 2024

This study aims to precisely characterize the use of magnetoelectric nanoparticles (MENPs) for stimulating peripheral nerves. Numerical methods were employed to quantify the interaction between MENPs and nervous tissue. The influence of MENPs’ orientation, concentration and distance was assessed in terms of the external potential distribution exerted by the MENPs, the amplification of the exerted MENPs’ stimulation required to excite the neural fibers and the current injected into the intracellular space. The results highlight the significance of MENPs’ concentration for stimulation accuracy and efficiency, the impact of MENPs’ orientation on the electric potential distribution sensed by the nervous tissue, as well as the importance of the MENPs’ distance over the fibers’ recruitment. Given the considerable variability in the interaction between MENPs and nerves, our research provides a crucial step towards understanding this interaction, offering quantitative support for the application of MENPs in nervous tissue stimulation.
Digital and Sustainable Transition in Textile Industry through Internet of Things Technologies: A Pakistani Case Study
Authors: Petrillo Antonella , Rehman Mizna , Baffo Illaria
Published: June 2024

The textile industry, a vital contributor to Pakistan’s economy, faces pressing challenges in transitioning towards sustainability amid global environmental concerns. This manuscript presents a comprehensive case study on the implementation of IoT-driven strategies in the Pakistani textile sector to achieve digital and sustainable transformation. The findings reveal that the implementation of IoT technologies facilitated real-time environmental monitoring, enabling compliance with regulatory standards, and fostering sustainable manufacturing practices. Ultimately, this manuscript offers valuable insights into the transformative potential of IoT technologies in driving sustainable practices in the textile industry. The case study serves as a benchmark for other textile-producing regions aiming to embark on a digital and sustainable journey. These findings hold significant implications for the ongoing dialogue on sustainable industrial development, providing valuable direction for policymakers and stakeholders in shaping a more resilient and ecologically conscious future. Future research should prioritize addressing issues like data confidentiality and interoperability while adhering to standard requirements. Additionally, exploring analytics and machine learning methods for predictive maintenance, optimized performance, and operational improvement is crucial.
Haze-Aware Attention Network for Single-Image Dehazing
Authors: Tong Lihan , Liu Yun , Li Weijia , Chen Liyuan , Chen Erkang
Published: June 2024

Single-image dehazing is a pivotal challenge in computer vision that seeks to remove haze from images and restore clean background details. Recognizing the limitations of traditional physical model-based methods and the inefficiencies of current attention-based solutions, we propose a new dehazing network combining an innovative Haze-Aware Attention Module (HAAM) with a Multiscale Frequency Enhancement Module (MFEM). The HAAM is inspired by the atmospheric scattering model, thus skillfully integrating physical principles into high-dimensional features for targeted dehazing. It picks up on latent features during the image restoration process, which gives a significant boost to the metrics, while the MFEM efficiently enhances high-frequency details, thus sidestepping wavelet or Fourier transform complexities. It employs multiscale fields to extract and emphasize key frequency components with minimal parameter overhead. Integrated into a simple U-Net framework, our Haze-Aware Attention Network (HAA-Net) for single-image dehazing significantly outperforms existing attention-based and transformer models in efficiency and effectiveness. Tested across various public datasets, the HAA-Net sets new performance benchmarks. Our work not only advances the field of image dehazing but also offers insights into the design of attention mechanisms for broader applications in computer vision.