bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing the carotenoid profiles and allelic diversity of yellow maize inbred lines adapted to mid-altitude subhumid maize agroecology in Ethiopia
Authors: Garoma Belay , Azimach Girum , Bante Kassahun , Menkir Abebe
Published: July 2024

Biofortification of provitamin A in maize is an attractive and sustainable remedy to the problem of vitamin A deficiency in developing countries. The utilization of molecular markers represents a promising avenue to facilitate the development of provitamin A (PVA)-enriched maize varieties. We screened 752 diverse tropical yellow/orange maize lines using kompetitive allele-specific PCR (KASP) makers to validate the use of KASP markers in PVA maize breeding. To this end, a total of 161 yellow/orange inbred lines, selected from among the 752 lines, were evaluated for their endosperm PVA and other carotenoid compounds levels in two separate trials composed of 63 and 98 inbred lines in 2020 and 2021, respectively. Significant differences (p < 0.001) were observed among the yellow maize inbred lines studied for all carotenoid profiles. An inbred line TZMI1017, introduced by the International Institute of Tropical Agriculture (IITA) showed the highest level of PVA (12.99 µg/g) and β-carotene (12.08 µg/g). The molecular screening showed 43 yellow maize inbred lines carrying at least three of the favorable alleles of the KASP markers. TZMI1017 inbred line also carried the favorable alleles of almost all markers. In addition, nine locally developed inbred lines had medium to high PVA concentrations varying from 5.11 µg/g to 10.76 µg/g and harbored the favorable alleles of all the KASP PVA markers. Association analysis between molecular markers and PVA content variation in the yellow/orange maize inbred lines did not reveal a significant, predictable correlation. Further investigation is warranted to elucidate the underlying genetic architecture of the PVA content in this germplasm. However, we recommend strategic utilization of the maize-inbred lines with higher PVA content to enhance the PVA profile of the breeding program’s germplasm.
Optimizing the quality of horticultural crop: insights into pre-harvest practices in controlled environment agriculture
Authors: Zhao Xinyi , Peng Jie , Zhang Li , Yang Xiao , Qiu Yujie , Cai Chengcheng , Hu Jiangtao , Huang Tao , Liang Ying , Li Zonggeng , Tian Mengliang , Liu Fan , Wang Zheng
Published: July 2024

In modern agriculture, Controlled environment agriculture (CEA) stands out as a contemporary production mode that leverages precise control over environmental conditions such as nutrient, temperature, light, and other factors to achieve efficient and high-quality agricultural production. Numerous studies have demonstrated the efficacy of manipulating these environmental factors in the short period before harvest to enhance crop yield and quality in CEA. This comprehensive review aims to provide insight into various pre-harvest practices employed in CEA, including nutrient deprivation, nutrient supply, manipulation of the light environment, and the application of exogenous hormones, with the objective of improving yield and quality in horticultural crops. Additionally, we propose an intelligent pre-harvest management system to cultivate high-quality horticultural crops. This system integrates sensor technology, data analysis, and intelligent control, enabling the customization of specific pre-harvest strategies based on producers’ requirements. The envisioned pre-harvest intelligent system holds the potential to enhance crop quality, increase yield, reduce resource wastage, and offer innovative ideas and technical support for the sustainable development of CEA.
A framework for transformational leadership to enhance teacher’s work performance
Authors: Yu Xia , Jang Guanwei
Published: July 2024

Introduction

In the new era of higher education focusing on “double first-class” development, private universities in China face significant opportunities and challenges. The success of these institutions is closely linked to effective leadership, particularly transformational leadership, which is known to inspire and motivate employees toward extraordinary achievements. This study explores the existence and impact of transformational leadership on teachers’ work performance in Chinese private universities. It aims to fill a research gap regarding the role of transformational leadership in a resource-constrained environment and provide practical insights for enhancing teachers’ work performance, thereby contributing to the rapid development of private universities and the realization of “double first-class” goals.

Methods

This study employed an input-process-output approach, combining qualitative data from face-to-face interviews with 12 leaders at Guangdong University of Science and Technology and quantitative data from an electronic survey of 392 university teachers. Data were analyzed using SPSS26.0, AMOS24.0, and NVIVO14, including exploratory and confirmatory factor analyses, common method bias assessment, and correlation analysis. Structural equation modeling with AMOS24.0 was used to explore the relationship between transformational leadership and teachers’ work performance, evaluating the impact of each transformational leadership dimension.

Results

The study findings demonstrated that transformational leadership styles are being employed in Chinese private universities, albeit not extensively, with moderate effects on teachers’ work performance. The research identified organizational vision, intellectual stimulation, and personal recognition as significant drivers of enhanced performance among faculty members. Nevertheless, the study did not confirm the impact of supportive leadership, inspiring communication, and moral modeling within the context of Chinese private universities.

Discussion

The results highlight areas for potential development in leadership practices, including improving teachers’ competencies, motivating teachers, providing good work opportunities and environments, and building good teacher teams.
Grasping the Situation: analyzing how situational dynamics shape agency
Authors: Heijmeskamp Thijs
Published: July 2024

Despite the intimacy between the situation and our agency, “situation” remains an ambiguous concept in theory. Even within the context of situated theories of cognition and agency that take the organism-environment system as central in their investigations, the notion of “situation” has been undertheorized. Yet, whether affordances are relevant depends on the situation. Therefore, Van Dijk and Rietveld argue that we must understand the practical situation in which behavior occurs in order to know how we respond to the affordances that the materials and other people offer. Taking John Dewey’s notion of “situation” as the basis for investigation, I follow Shaun Gallagher’s analysis of how we are not just part of a situation, but we understand what an action is only in relation to a situation. Situations act like large-scale affordances, but this does not mean that affordances are inviting or soliciting as such. Because of the situational transactions with the environment that an agent has, the environment pushes and pulls the agent from and toward certain actions. This means that environments have expressive qualitative features that are non-subjective emotional qualities and social gestalt. I propose four overlapping but distinct features or axes of analysis of situations that can be identified and analyzed in terms of how they shape our agency: complexity, determinedness, the establishment of expectations, and restrictiveness. Situations can be more or less complex in a spatial, temporal, or layered way. They can also be more or less determined, meaning that the agent’s actions are more or less obvious. Third, they can be characterized as socially established, meaning that certain behavior is expected. Finally, situations are more or less restricted, denoting the number of activities available to an agent.
The Pavlovian interpretation of speech and aphasia: Alexander Luria and Wilder Penfield
Authors: Leblanc Richard
Published: July 2024

This paper discusses a neglected aspect of the historiography of aphasia, the role that Pavlovian conditioning played in Alexander Luria’s and Wilder Penfield’s understanding of the acquisition, expression, and loss of spoken and written speech. Luria was born into a bourgeois family in Tzarist Russia and pursued his research on speech and aphasia under the Soviet regime. Luria’s work was condemned in the last years of Stalin’s rule, but it received international acclaim in the West after Stalin’s death. Penfield was conversant with Pavlov’s writing having had a working relationship with one of Pavlov’s foremost students, Boris Babkin, who came to McGill University and later to the Montreal Neurological Institute after being jailed and exiled from the Soviet Union for lack of revolutionary fervor. Both Luria and Penfield, the latter as early as 1935, saw in Pavlovian conditioning mediated by specific areas of the human cerebral cortex the basic neurophysiological mechanism underlying speech and thought, and in Penfield’s’ case, memory, perception, self-awareness, and purposeful behavior. It is concluded that Luria and Penfield independently arrived at a general hypothesis, based on Pavlovian conditioning, that united the localization of speech, the syndromes caused by damage to speech-competent regions, and the putative neurophysiological mechanisms that they believed to underlie speech and higher cortical functions.
Secondhand tobacco smoke exposure in homes and vehicles in youth: disparities among racial, and sexual and gender minorities
Authors: Talluri Rajesh , Shete Sahil S. , Shastri Surendra S. , Shete Sanjay
Published: July 2024

Background

Secondhand smoke exposure (SHSe) among youth is a serious public health concern, leading to an increased risk of conditions such as asthma and respiratory infections. However, there is little research on SHSe among vulnerable populations, such as racial and sexual minorities. Understanding the factors associated with youth SHSe in homes and vehicles is crucial to developing better protective policies.

Methods

This study utilized 2020 data from the National Youth Tobacco Survey, a representative sample of middle- and high-school students in the US. The primary outcomes were youth SHSe at home and while riding in a vehicle. Multinomial regression models were used to assess factors associated with SHSe.

Results

The data included 9,912 students enrolled in grades 6 through 12 in the United States who reported never using any form of tobacco. Non-Hispanic Black students living with someone who does not use any form of tobacco products were significantly more likely to experience moderate [OR = 2.1 (1.1–3.9), p = 0.03] and severe [OR = 5.1 (2.2–11.7), p < 0.001] secondhand smoke exposure (SHSe) in homes compared to their non-Hispanic White counterparts. Heterosexual female students had lower odds of reporting moderate SHSe in the home compared to heterosexual males [OR = 0.7 (0.6–0.99), p = 0.02], whereas bisexual females had two-fold increased odds of severe SHSe in homes [OR = 2.0 (1.2–3.4), p = 0.01].

Conclusion

Significant efforts are needed to develop targeted interventions to reduce SHSe in homes and vehicles, particularly in these vulnerable populations.
Convenience behavior in German university students is associated with sociodemographic, study- and health-related factors
Authors: Schwab Lisa , Reichel Jennifer L. , Werner Antonia M. , Schäfer Markus , Heller Sebastian , Edelmann Dennis , Beutel Manfred E. , Letzel Stephan , Dietz Pavel , Simon Perikles , Kalo Kristin
Published: July 2024

Background

The transition from school to university is often accompanied by a change in students’ lifestyles. So far little is known whether convenience behavior is an essential factor affecting students’ health and social interaction. In a heterogeneous population regard to sociodemographic and anthropometric characteristics the Convenience Behavior Questionnaire (CBQ) showed a better relationship between convenience-related behavior with overweight and obesity than established questionnaires. Here we assessed convenience behavior in a large well characterized cohort of university students and its association with health-related (mainly sedentary behavior and physical activity), study-related and sociodemographic factors with the Convenience Behavior Questionnaire (CBQ).

Methods

A total of 4,351 students participated in an online survey, of which 3,983 (23.6 ± 5.3 years old, 71.3% females) answered the questions concerning convenience behavior. A low value in the CBQ indicates more convenience behavior [Convenience Behavior Index (CBI) range: 3–15]. Differences with regard to sociodemographic (age, gender, body mass index), study-related (semester, degree, field of study) and health-related (physical activity, sedentary behavior) variables were examined with Mann–Whitney-U test or Kruskal–Wallis test and post-hoc tests (Bonferroni).

Results

The CBI of men and women differed significantly (z = −6.847,p < 0.001,r = 0.11). First-year students and students beyond their first year showed significant differences (z = −2.355,p ≤ 0.05,r = 0.04). Differences were also found in the field of study (Chi2 (6) = 147.830,p < 0.001) and the targeted degree (Chi2 (7) = 79.985,p < 0.001). Furthermore, differences were found in the body mass index (Chi2 (5) = 70.678,p < 0.001), physical activity (Chi2 (2) = 279.040,p < 0.001) and sedentary behavior (z = −4.660,p < 0.001,r = 0.07).

Conclusion

The results showed risk groups of convenience behavior among students [men, first-year, students enrolled in “Science, Technology, Engineering and Mathematics (STEM),” bachelor]. Our results confirm for the first time in a very homogeneous population a gender difference and an association between CBI and health-related factors. Further studies are needed to analyze the health behavior of students in more detail, especially their convenience behavior.
Identifying strategies and related principles supporting a co-design approach in an assistive device service delivery and research platform
Authors: Jeyakumaran Thuvaraha , Eggiman-Ketter Jordan , Spadzinski Abby , Wolfe Dalton L.
Published: July 2024

Introduction

Possibilities Project Plus (PPPlus) is a free assistive device (AD) marketplace and research platform for persons with disabilities. The overall aim of PPPlus is to increase access to ADs through an integration of service, research and education. To maximize positive outcomes and reflect community needs a co-design approach informed by guiding principles of Integrated Knowledge Translation (IKT) was adopted, with examination of methods related to Experience Based Co-design. The integrated nature of PPPlus benefits from the use of specific engagement strategies that align with IKT principles to meet project objectives. The extent to which partnership and engagement strategies are specified in the rehabilitation research literature vary greatly and studies that provide information on specific strategies used to operationalize principles are limited. The objective of this manuscript is to provide a description of the co-design approach and the specific strategies that strive to achieve meaningful user engagement. By reflecting on these processes we also report on limitations and strategies for improvement.

Methods

The co-design approach is highlighted through specific project activities including a representative governance structure, ongoing environmental scan and iterative Health Equity Impact Assessments (HEIA). The inherent engagement strategies that align with IKT and co-design principles are described.

Discussion

The most impactful engagement strategies included early engagement of partners throughout all phases, ensuring project relevance across partners through alignment of objectives with complementary aims, using HEIAs to promote equitable outcomes from diverse stakeholders, the representative governance structure beyond individuals with disabilities and caregivers, and the use of experiences and stories to inform development.

Next steps

This examination of specific strategies related to co-design focused on partnership engagement and informed targets for enhancement of the PPPlus initiative. These include being more intentional in developing a more rigorous process for evaluation that includes an assessment of strategies and their impact—especially as related to partner engagement. In addition, ongoing and enhanced efforts will focus on developing knowledge products that bring to life the most salient experience-based user stories emerging from the environmental scan with these being used to drive distinct co-creation events as well as serve other knowledge mobilization purposes (i.e., supporting policy change).
Protocols for isolation and characterization of nanoparticle biomolecular corona complexes
Authors: Soliman Mahmoud G. , Martinez-Serra Alberto , Dobricic Marko , Trinh Duong N. , Cheeseman Jack , Spencer Daniel I. R. , Monopoli Marco P.
Published: July 2024

Engineered nanoparticles (NPs) pose a broad spectrum of interesting properties that make them useful for many applications. However, continuous exposure to NPs requires the need to deeply understand the outcomes when these NPs interact with different biological environments. After exposure within (to) these environments, the pristine surfaces of NPs strongly interact with the molecules from the surrounding medium, including metabolites, lipids, glycan, and proteins, forming the so-called protein corona (PC). It is well established that the NP-PC strongly influences the biological fate of various NPs types, including cellular uptake, toxicity, and biodistribution. Thus, for a proper assessment of potential hazards associated with engineered NPs, it is mandatory to study and evaluate the PC that forms around NPs. Herein, we describe protocols in detail for the isolation and characterization of NP-PC complexes and cover the following aspects: 1) isolation protocols for different nanomaterials in a range of exposing media, including magnetic isolation methods for superparamagnetic NPs, 2) NP physico-chemical characterization using advanced and standard techniques available in regular laboratories, and 3) NP- PC characterization of the protein and glycan components.
Real-world diagnostic potential of bacterial biomarkers of canine periodontitis
Authors: Wallis C. V. , Soltero-Rivera M. , Harvey C. , Reynolds R. M. , Carvell-Miller L. J. , Colyer A. , McKee T. S. , Mills T. , Bergman P. J. , Watson P. , Holcombe L. J.
Published: July 2024

Introduction

The objective of this study was to investigate the diagnostic potential of bacterial biomarkers by comparing the performance of molecular detection assays with clinical assessments of dog’s oral health performed by veterinarians.

Methods

Supragingival and subgingival plaque samples were collected from 127 client-owned dogs, pre-booked for procedures under general anesthesia, visiting veterinary practices in the United States. DNA was extracted and bacterial biomarkers quantified using quantitative polymerase chain reaction. Gingivitis and periodontitis were recorded by a trained clinician using the Weighted Gingivitis Periodontitis Score which involved assessing the buccal surfaces of 18 teeth while under general anesthesia. Intraoral dental radiographs of the left and right mandibular first molar teeth were also obtained. These data were then used to establish the diagnostic performance of the molecular assay to detect periodontitis.

Results

An initial conscious, visual oral examination performed by the veterinarian identified 67.7% of dogs as having periodontitis, but examination under general anesthesia indicated a higher proportion (86.6%). Analysis of supragingival plaque samples collected by veterinarians from conscious and unconscious dogs demonstrated the assay had an accuracy of 77.7 to 80.9%, a sensitivity of 77.6 to 81.0%, and a specificity of 80.0%.

Discussion

Use of this molecular screening tool in conscious dogs has the potential to improve early periodontal disease detection and support veterinary decision making, ultimately improving the oral health of dogs and consequently their quality of life.
Ideologie językowe i zarządzanie językiem w Iwano-Frankiwsku (dawnym Stanisławowie)
Authors: Pelekhata Olena
Published: July 2024

The article presents a sociolinguistic analysis of language ideology change as exemplified by two generations of Poles living in Ivano-Frankivsk (formerly Stanisławów). Research data comprises interviews conducted in the years 2017–2022. Linguistic biographies of Polish minority representatives provided a basis for describing the history of speaking across two generations (the eldest one and the elder one) depending on the stages of their lives. Monolingual microideology influenced the choice of language among family members of the two generations of Poles from Ivano-Frankivsk. It led to a decline of the transfer of the Polish language from parents to children. Later on, attempts have been gradually made to revive the transfer.
Keywords: linguisƟ c biography – language ideology – language management – generational diversity.
Sprawozdanie z V Forum Prostego Języka Prosto i kropka Ministerstwo Funduszy i Polityki Regionalnej 22 listopada 2023 r.
Authors: Siwula Karina
Published: July 2024

The article reviews the content of speeches delivered during the 5th Forum of Simple Language “Prosto i kropka”. This is one of the most important events dedicated to plain language in Poland. For years, the Ministry of Development Funds and Regional Policy has been using the forum to promote the knowledge of simple language. The article recaps the crucial theses of specialists and linguists on the following topics: history of simple language; accessibility; difficulties faced by officials, lawyers, and specialists in simple language; communication aspects. I conclude the report by demonstrating how experts envisage the future of the concept of plain language in Poland
A High Torque Density Dual-Stator Flux-Reversal-Machine with Multiple Poles Halbach Excitation on Outer Stator
Authors: Tang Siwei , Xu Yuanying , He Chao , Yang Jiquan
Published: July 2024

This paper proposes a high torque density dual-stator flux-reversal-machine with multiple poles Halbach excitation (MPHE-DSFRM), which uses two pole pairs’ numbers (PPNs) of PM excitation on one outer stator tooth, and one PPN of PM excitation on one inner stator tooth. The introduction of different PPNs of PM excitation on the outer and the inner stators can optimize magnetic circuit and airgap flux density. A Halbach array is formed by inserting three pieces of circumferentially magnetized PMs into four pieces of radially magnetized permanent magnets (PMs) on the outer stator, which aims to further enhance torque density, and reduce torque ripple. Based on the flux modulation effect, the analytical modeling of the proposed MPHE-DSFRM is established, together with the evolution process, and the working principle is presented. Then, the key design parameters of MPHE-DSFRM are optimized to achieve high torque density and low torque ripple for high torque quality. Three representative DSFRMs and a conventional FRM are designed and analyzed, and they share the same design key parameters, including PM usage, outer radius of the outer stator, and active airgap length. The electromagnetic performances, including airgap flux density, back electromotive force (back-EMF), and torque characteristics, are analyzed and compared by finite element analysis (FEA). The calculated results show that the proposed MPHE-DSFRM can provide high torque density and high PM utilization.
Spatial Heterogeneity Analysis and Risk Assessment of Potentially Toxic Elements in Soils of Typical Green Tea Plantations
Authors: Xu Yaonan , Wang Ying , Shafi Abbas , He Mingjiang , He Lizhi , Liu Dan
Published: July 2024

The spatial heterogeneity of potentially toxic elements (PTEs) in a typical green tea-producing area in Zhejiang was investigated with application of geostatistics. The positive matrix factorization (PMF) was conducted for analysis of pollution sources and risk assessment of the soil of the tea garden. The results revealed that 93.52% of the study area did not exceed the PTEs risk screening value in the soil pollution risk control standard of agricultural land. The results of the spatial heterogeneity analysis showed that Cd and Pb had moderate spatial auto-correlation, exhibiting similar spatial distribution patterns. The high-value locations were distributed in the southeast of the study area, while low-value locations were distributed in the southwest of the study area. The Cr, As, and Hg had strong spatial auto-correlation, while Cr and As had similar spatial distribution patterns whose high-value areas and low-value areas were concentrated in the west and center of the study area, respectively. The Cd, Pb, and As originated from the agricultural source, transportation source, and industrial source, respectively, while Cr and Hg were from the natural source on the basis of the results of the PMF model. The results of a potential ecological risk assessment revealed that five PTEs in the study area were of low potential risk. The single-factor ecological risk ranking was Cd > As > Hg > Cr > Pb. The overall ecological risk in the study area was slight. The human health risk model indicates that there was a non-carcinogenic risk for children in the study area, and the high-value area was concentrated in the northwest of the study area. It is concluded that emphasis shall be given to excessive Cd caused by agricultural sources in the southeast of the study area, and control and monitoring will be strengthened in the northwestern part of the study area. The relevant measures for prevention of soil pollution must be conducted.
Is Ambrosia trifida L. Preparing for a Wider Invasion? Changes in the Plant Morpho-Functional Traits over a Decade
Authors: Savić Aleksandra , Matzrafi Maor , Đurović Sanja , Gentili Rodolfo , Citterio Sandra
Published: July 2024

Plastic traits are argued to favor the establishment of invasive alien plants and to evolve during the invasion process, so that invasions may be favored by both plasticity and evolutionary changes in plasticity. Despite this aspect being pivotal to understanding invasion processes, no information is available about the effect of residence time on the evolution of phenotypic plasticity of aliens to produce locally adapted phenotypes. Therefore, we aimed to evaluate changes in the morpho-functional traits of the invasive alien Ambrosia trifida L. over time. Specifically, we grew A. trifida plants under laboratory (at different temperatures: 10 °C, 20 °C and 25 °C) and field conditions by using seeds collected from 2011 to 2020 from an Eastern European population. Data about seedling emergence, vegetative (laboratory and field) and reproductive (field) traits were collected, e.g., maximum plant height (cm), total dry biomass (g), number of flowers (n) and number of new seeds (n). Analysis of variance (ANOVA), linear regressions and a plasticity index were applied to assess differences in plant performances when grown from seeds of different ages. An auto-regressive integrated moving average (ARIMA) model was applied to predict future trends of some key plant traits (maximum height, total dry biomass and number of new seeds). Overall, the time of seedling emergence was not statistically different among seeds of different age, and regression analyses exhibited a positive relationship between residence time (seed age) and vegetative and reproductive parameters of A. trifida. Only male flower production exhibited a negative trend over time. At all temperatures (especially at 25 °C), the vegetative parameters increased with the decrease in residence time. The plasticity index of the measured traits tended to decrease over time for most traits both in the field and in the laboratory trials. The ARIMA model predicted that plant traits will continue to increase in size over time by 2030, suggesting further plastic adaptation of A. trifida. The results highlighted that residence time influences the evolution of phenotypic plasticity of A. trifida, which has strengthened its adaptability to the new conditions over a decade, also demonstrating a great adaptive and invasion potential for the future.
Recovering Alpine Secale cereale (Rye) Varieties: Insights from Genetic, Agronomic, and Phytochemical Analyses to Support Sustainable Mountain Agriculture Economy
Authors: Gentili Rodolfo , La Ferla Barbara , Cardarelli Elisa , Gusmeroli Fausto , Della Marianna Gianpaolo , Parolo Gilberto , Maestroni Giancarla , Citterio Sandra
Published: July 2024

Rye (Secale cereale L.) cultivation has a long history in the Alpine region, where local ecotypes have been honed through generations of human selection. Despite the introduction of commercial varieties during the 20th century, traditional ecotypes are believed to persist in Valtellina, especially in the medium/upper valley (Teglio and Bormio). Our study aims to identify and preserve these local rye ecotypes by comparing them to commercial varieties. We examined 14 rye accessions through population genetic analyses (by using eight SSR makers), agronomic trials (germplasm characters, plant traits, and yields), and phytochemical analyses (total phenolic compound, flavonoids, and the radical scavenging activity). Two commercial varieties were used—one from Poland, previously genetically characterized (C_POL_P1; i.e., P1 ancestry), and one with an unknown origin. Additionally, we analyzed eleven accessions from Valtellina (medium and upper valley) and one from another alpine valley in South Tirol (Laimburg; LAI). Molecular markers analysis revealed the presence of two distinct genetic lineages: the first (P1) comprised all Teglio accessions and the commercial one from Poland, while the second (P2) grouped the two alpine accessions from Bormio (upper Valtellina) and South Tirol, along with a commercial one of uncertain origin. The clusters P2 exhibited significantly lower average values of the number of alleles (z = 2.03; p < 0.05), Shannon index (z = 2.35; p < 0.05), and expected heterozygosity (z = 1.97; p < 0.05) than in P1. Significant differences were observed in plant traits and agronomic performance between P1 and P2 accessions, with the latter displaying superior traits. For instance, the seed weight of germplasm was the highest in P2 (H(chi2) = 22.44; p < 0.001). Phytochemical analyses did not reveal a clear pattern between genetic lineages but identified some very well-performing Valtellina landraces in terms of scavenging activity. Characterizing these local rye varieties helps establish a short food supply chain to support Valtellina’s mountain economy. The medium valley (P1) and upper valley (P2) varieties have the potential for agroecological valorization, benefiting local farmers. Phytochemical analyses identified better accessions within P1 and P2 for nutraceutical use and commercialization. Additionally, selecting and conserving resilient ecotypes can address future challenges from extreme climate conditions.
Synergistic Antimicrobial Activity of Biogenic Silver Nanoparticles and Acanthospermum australe Essential Oil against Skin Infection Pathogens
Authors: Mussin Javier , Giusiano Gustavo
Published: July 2024

In response to the steady increase in antimicrobial-resistant strains, the World Health Organisation has emphasised the need to investigate new antimicrobial agents and alternative therapies that improve the spectrum of activity and reduce the dose required, thus improving safety. This study focused on the characterisation of Acanthospermum australe essential oil and green-synthesis silver nanoparticles (AgNP), evaluating their cytotoxicity in human cells, antimicrobial activity and synergistic effect against pathogens causing skin infections. The main components of the essential oil were germacrene A (24.07%), γ-cadinene (21.47%) and trans-caryophyllene (14.97%). Spherical AgNP with a diameter of 15 ± 3 nm were synthesised. The essential oil showed antimicrobial activity against dermatophytes and Malassezia globosa, while AgNP were found to be active against bacteria, yeasts and dermatophytes. Both compounds were found to be primarily non-cytotoxic at the concentrations required to inhibit microbial growth. Furthermore, the combined use of essential oil and AgNP showed a synergistic antimicrobial effect against dermatophytes and M. globosa. In conclusion, the results suggest that the combined use of bioactive compounds from natural sources, such as essential oil and biogenic AgNP, has the potential to improve antimicrobial efficacy against specific skin pathogens, particularly Microsporum canis, Nannizzia gypsea and M. globosa.
Correction: Narongpun et al. Whole-Genome Investigation of Zoonotic Transmission of Livestock-Associated Methicillin-Resistant Staphylococcus aureus Clonal Complex 398 Isolated from Pigs and Humans in Thailand. Antibiotics 2023, 12, 1745
Authors: Narongpun Pawarut , Chanchaithong Pattrarat , Yamagishi Junya , Thapa Jeewan , Nakajima Chie , Suzuki Yasuhiko
Published: July 2024

In the published publication [...]
Sub-Chronic Methomyl Exposure Induces Oxidative Stress and Inflammatory Responses in Zebrafish with Higher Female Susceptibility
Authors: Li Mingxiao , Chen Xi , Song Chao , Xu Jing , Fan Limin , Qiu Liping , Li Dandan , Xu Huimin , Meng Shunlong , Mu Xiyan , Xia Bin , Ling Jun
Published: July 2024

The widespread use of carbamate pesticides has raised significant environmental and health concerns, particularly regarding water contamination and the disruption of defense systems in organisms. Despite these concerns, research on the differential impacts of pesticides on male and female organisms remains limited. This study focused on methomyl, investigating sex-specific differences in liver antioxidant defenses and inflammatory response indices in male and female zebrafish after 56 days of exposure to environmentally relevant concentrations (0, 0.05, 0.10, and 0.20 mg/L). Our findings indicate that methomyl exposure significantly increased ROS content in zebrafish livers, inducing oxidative stress and activating enzymatic antioxidant defenses such as SOD, CAT, and GSH-Px activities. Sub-chronic exposure altered the expression of apoptosis-related genes (Bax/Bcl2a and Caspases3a), resulting in liver cell apoptosis in a concentration-dependent manner, with the 0.20 mg/L concentration causing the most severe damage. Additionally, methomyl exposure at environmentally relevant concentrations triggered persistent inflammatory responses in liver tissues, evidenced by increased transcription levels of inflammatory factor genes and the activation of toll-like receptors, heightening susceptibility to exogenous allergens. It is noteworthy that oxidative damage indicators (AST, ROS, MDA) and inflammatory gene expressions (IL-1β, TNF-α) were significantly higher in female livers compared to male livers at 0.10–0.20 mg/L methomyl exposure. Consequently, our study underscores the potential adverse effects of environmental methomyl exposure on aquatic organisms and highlights the need for heightened consideration of the risks posed by environmental endocrine disruptors to female health and safety.
Influence of Treatment with Natural Phytoregulators on Purple Carrots (Daucus carota L.) during Cold Storage
Authors: Sáez-Escudero Laura , Blanch Gracia Patricia , Ruiz del Castillo María Luisa
Published: July 2024

In this work, we investigated the effect of natural phytoregulators (i.e., methyl jasmonate and abscisic acid) on quality physicochemical parameters, carotenoid and anthocyanin content and antioxidant activity of purple carrots in storage at 5 °C for 21 days. As a result, study of the natural evolution of fresh-untreated purple carrots in storage exhibited increase in carotenoids (from 1.41 to 3.79 mg EβC g−1 DW) and stability of anthocyanins (2.18 vs. 2.23 mg ECGg−1 DW) but significant loss of organoleptic quality. Treatment with methyl jasmonate and abscisic acid resulted in similar or even higher carotenoid content (1.61 and 2.15 mg EβC g−1 DW for methyl jasmonate and abscisic acid, respectively) as compared with the value measured in fresh-untreated carrots before storage (1.41 mg EβC g−1 DW). In contrast to carotenoids, anthocyanins and antioxidant activity mostly decreased with the treatments. However, physicochemical parameters indicating organoleptic quality improved considerably, which was meaningful considering their importance in terms of consumer acceptance. These results reflect the slowing-down effect of natural phytoregulators on spoilage of purple carrots over storage. Optimization of this approach is scheduled to minimize anthocyanin losses. It can therefore be an interesting approach to extending purple carrot shelf-life with no need for artificial preservatives.
Mechanical Behavior of Low-Strength Hydraulic Lime Concrete Reinforced with Flexible Fibers under Quasi-Static and Dynamic Conditions
Authors: De La Rosa Ángel , Garijo Lucía , Masih Vaibhav W. , Ruiz Gonzalo
Published: July 2024

We investigate the effect of flexible fiber reinforcement on low-strength hydraulic lime concrete. This type of concrete is occasionally necessary to ensure compatibility with the substrate, particularly in the conservation and rehabilitation of historical heritage. For this purpose, we designed a matrix of hydraulic lime concrete based on a mix design method we proposed previously and added different amounts of polyvinyl alcohol fiber (volumetric contents of 0.3%, 0.6%, 0.9%, and 1.2%). We then conducted three-point bending tests on prismatic specimens with a central notch under quasi-static (displacement rate of 4 × 10−4 mm/s) and dynamic (4 mm/s) conditions, using a servo-hydraulic machine. The results indicate that, in both quasi-static and dynamic regimes, the flexural strength, the residual flexural strengths for different crack openings, and the work of fracture increase as the fiber content increases. Furthermore, transitioning from one regime to another (by increasing the strain rate or velocity) leads to a significant increase in these mechanical parameters.
Transforming Interactive Educational Content into Immersive Virtual Reality Learning Objects
Authors: Jaruševičius Pranas , Paulauskas Lukas , Drungilas Vaidotas , Jurgelaitis Mantas , Blažauskas Tomas
Published: July 2024

Currently, the integration of immersive virtual reality applications into learning management systems is limited, which disadvantages kinesthetic learners, as the majority of learning material is mostly written or visual in nature. This research presents a method on how to transform existing conventional learning material into immersive virtual reality and integrate it into learning management systems, demonstrating it with a pilot study and an immersive virtual reality application prototype. The prototype application uses WebXR technology and provides integration into the Moodle learning management system using the Sharable Content Object Reference Model standard. The developed learning object was evaluated using the System Usability Scale, Web-based Learning Tool evaluation scale and the igroup Presence Questionnaire. The results of the pilot study revealed that the learning object performed above average in all tested fields and is preferable to established non-IVR solutions.
Peak and Residual Shear Interface Measurement between Sand and Continuum Surfaces Using Ring Shear Apparatus
Authors: Almasoudi Rayed , Daghistani Firas , Abuel-Naga Hossam
Published: July 2024

This study uses a ring shear apparatus to measure the interface shear stress between five types of sand and three surfaces: steel, PVC, and stone. Experiments were conducted under normal stresses of 25, 50, and 100 kPa at a constant shear rate of 0.5 mm/min. The research examines the impact of various sand properties, including particle size distribution, median particle size, particle shape, and initial density, as well as the surface roughness and hardness of continuum materials. The results show that interface shear strength is significantly influenced by the mechanical interlock between sand particles and surface asperities, which is affected by the normalized roughness and hardness of the materials. Machine learning models, including Multiple Linear Regression and Random Forest Regression, were used to predict peak and residual shear strengths, demonstrating high accuracy. Additionally, an empirical equation was generated using eight input parameters, considering the peak and residual interface shear strength as outputs.
A Reversible Data-Hiding Method for Encrypted Images Based on Adaptive Quadtree Partitioning and MSB Prediction
Authors: Yue Ya , Zhang Minqing , Di Fuqiang , Lai Peizheng
Published: July 2024

To address the vulnerability of the widely used block permutation and co-XOR (BPCX) encryption algorithm in reversible data-hiding in the encrypted domain (RDH-ED), which is susceptible to known-plaintext attacks (KPAs), and to enhance embedding capacity, we propose a novel technique of reversible data-hiding in encrypted images (RDH-EI). This method incorporates adaptive quadtree partitioning and most significant bit (MSB) prediction. To counteract KPAs, we introduce pixel modulation specifically targeting pixels within blocks of the same level during the encryption phase. During data embedding, we utilize tagging bits to indicate the state of the pixel blocks, capitalizing on pixel redundancy within those blocks to augment embedding capacity. Our experimental results demonstrate that our method not only achieves reversibility and separability but also significantly boosts embedding capacity and method security. Notably, the average embedding rate across the 10,000 images tested stands at 2.4731, surpassing previous methods by 0.2106 and 0.037, respectively.
A New Adaptive Strategy for Enhancing the Stability of Isolated Grids through the Integration of Renewable Energy and V2G Management
Authors: Villa-Ávila Edisson , Arévalo Paul , Ochoa-Correa Danny , Iñiguez-Morán Vinicio , Jurado Francisco
Published: July 2024

The integration of renewable energy sources into isolated microgrids introduces significant power fluctuations due to their intermittent nature. This study addresses the need for advanced power smoothing methods to enhance the stability of isolated networks. An innovative adaptive strategy is presented, combining photovoltaic solar generation with vehicle-to-grid technology, utilizing an enhanced adaptive moving average filter with fuzzy logic control. The primary objective is to dynamically optimize the time frame of the Li-ion battery energy storage system for immediate power stabilization, leveraging the high energy density and rapid response capabilities inherent in electric vehicle batteries. The methodology encompasses data acquisition from photovoltaic panels, definition of fuzzy logic control rules, and implementation of the proposed method within a computer-controlled system connected to a bidirectional three-phase inverter. Experimental results highlight the proposed method’s superiority over conventional moving averages and ramp-rate filters.
Peculiarities of Applying Partial Convolutions to the Computation of Reduced Numerical Convolutions
Authors: Suleimenov Ibragim , Kadyrzhan Aruzhan , Matrassulova Dinara , Vitulyova Yelizaveta
Published: July 2024

A method is proposed that reduces the computation of the reduced digital convolution operation to a set of independent convolutions computed in Galois fields. The reduced digital convolution is understood as a modified convolution operation whose result is a function taking discrete values in the same discrete scale as the original functions. The method is based on the use of partial convolutions, reduced to computing a modulo integer q0, which is the product of several prime numbers: q0=p1p2…pn. It is shown that it is appropriate to use the expansion of the number q0, to q=p0p1p2…pn, where p0 is an additional prime number, to compute the reduced digital convolution. This corresponds to the use of additional digits in the number system used to convert to partial convolutions. The inverse procedure, i.e., reducing the result of calculations modulo q to the result corresponding to calculations modulo q0, is provided by the formula that used only integers proved in this paper. The possibilities of practical application of the obtained results are discussed.
Advanced Industrial Fault Detection: A Comparative Analysis of Ultrasonic Signal Processing and Ensemble Machine Learning Techniques
Authors: Moshrefi Amirhossein , Nabki Frederic
Published: July 2024

Modern condition monitoring and industrial fault prediction have advanced to include intelligent techniques, aiming to improve reliability, productivity, and safety. The integration of ultrasonic signal processing with various machine learning (ML) models can significantly enhance the efficiency of industrial fault diagnosis. In this paper, ultrasonic data are analyzed and applied to ensemble ML algorithms. Four methods for reducing dimensionality are employed to illustrate differences among acoustic faults. Different features in the time domain are extracted, and predictive ensemble models including a gradient boosting classifier (GB), stacking classifier (Stacking), voting classifier (Voting), Adaboost, Logit boost (Logit), and bagging classifier (Bagging) are implemented. To assess the model’s performance on new data during experiments, k-fold cross-validation (CV) was employed. Based on the designed workflow, GB demonstrated the highest performance, with less variation over 5 cross-folds. Finally, the real-time capability of the model was evaluated by deployment on an ARM Cortex-M4F microcontroller (MCU).
A Efficient and Accurate UAV Detection Method Based on YOLOv5s
Authors: Feng Yunsong , Wang Tong , Jiang Qiangfu , Zhang Chi , Sun Shaohang , Qian Wangjiahe
Published: July 2024

Due to the limited computational resources of portable devices, target detection models for drone detection face challenges in real-time deployment. To enhance the detection efficiency of low, slow, and small unmanned aerial vehicles (UAVs), this study introduces an efficient drone detection model based on YOLOv5s (EDU-YOLO), incorporating lightweight feature extraction and balanced feature fusion modules. The model employs the ShuffleNetV2 network and coordinate attention mechanisms to construct a lightweight backbone network, significantly reducing the number of model parameters. It also utilizes a bidirectional feature pyramid network and ghost convolutions to build a balanced neck network, enriching the model’s representational capacity. Additionally, a new loss function, EloU, replaces CIoU to improve the model’s positioning accuracy and accelerate network convergence. Experimental results indicate that, compared to the YOLOv5s algorithm, our model only experiences a minimal decrease in mAP by 1.1%, while reducing GFLOPs from 16.0 to 2.2 and increasing FPS from 153 to 188. This provides a substantial foundation for networked optoelectronic detection of UAVs and similar slow-moving aerial targets, expanding the defensive perimeter and enabling earlier warnings.