bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection of Growth Change of Young Forest Based on UAV RGB Images at Single-Tree Level
Authors: Zhou Xiaocheng , Wang Hongyu , Chen Chongcheng , Nagy Gábor , Jancso Tamas , Huang Hongyu
Published: January 2023

With the rapid development of Unmanned Aerial Vehicle (UAV) technology, more and more UAVs have been used in forest survey. UAV (RGB) images are the most widely used UAV data source in forest resource management. However, there is some uncertainty as to the reliability of these data when monitoring height and growth changes of low-growing saplings in an afforestation plot via UAV RGB images. This study focuses on an artificial Chinese fir (Cunninghamia lancelota, named as Chinese Fir) young forest plot in Fujian, China. Divide-and-conquer (DAC) and the local maximum (LM) method for extracting seedling height are described in the paper, and the possibility of monitoring young forest growth based on low-cost UAV remote sensing images was explored. Two key algorithms were adopted and compared to extract the tree height and how it affects the young forest at single-tree level from multi-temporal UAV RGB images from 2019 to 2021. Compared to field survey data, the R2 of single saplings’ height extracted from digital orthophoto map (DOM) images of tree pits and original DSM information using a divide-and-conquer method reached 0.8577 in 2020 and 0.9968 in 2021, respectively. The RMSE reached 0.2141 in 2020 and 0.1609 in 2021. The R2 of tree height extracted from the canopy height model (CHM) via the LM method was 0.9462. The RMSE was 0.3354 in 2021. The results demonstrated that the survival rates of the young forest in the second year and the third year were 99.9% and 85.6%, respectively. This study shows that UAV RGB images can obtain the height of low sapling trees through a computer algorithm based on using 3D point cloud data derived from high-precision UAV images and can monitor the growth of individual trees combined with multi-stage UAV RGB images after afforestation. This research provides a fully automated method for evaluating the afforestation results provided by UAV RGB images. In the future, the universality of the method should be evaluated in more afforestation plots featuring different tree species and terrain.
A Review of Basic Bioinformatic Techniques for Microbial Community Analysis in an Anaerobic Digester
Authors: Upadhyay Apoorva , Kovalev Andrey A. , Zhuravleva Elena A. , Kovalev Dmitriy A. , Litti Yuriy V. , Masakapalli Shyam Kumar , Pareek Nidhi , Vivekanand Vivekanand
Published: January 2023

Biogas production involves various types of intricate microbial populations in an anaerobic digester (AD). To understand the anaerobic digestion system better, a broad-based study must be conducted on the microbial population. Deep understanding of the complete metagenomics including microbial structure, functional gene form, similarity/differences, and relationships between metabolic pathways and product formation, could aid in optimization and enhancement of AD processes. With advancements in technologies for metagenomic sequencing, for example, next generation sequencing and high-throughput sequencing, have revolutionized the study of microbial dynamics in anaerobic digestion. This review includes a brief introduction to the basic process of metagenomics research and includes a detailed summary of the various bioinformatics approaches, viz., total investigation of data obtained from microbial communities using bioinformatics methods to expose metagenomics characterization. This includes (1) methods of DNA isolation and sequencing, (2) investigation of anaerobic microbial communities using bioinformatics techniques, (3) application of the analysis of anaerobic microbial community and biogas production, and (4) restriction and prediction of bioinformatics analysis on microbial metagenomics. The review has been concluded, giving a summarized insight into bioinformatic tools and also promoting the future prospects of integrating humungous data with artificial intelligence and neural network software.
Confirmation of Glucose Transporters through Targeted Mutagenesis and Transcriptional Analysis in Clostridium acetobutylicum
Authors: Zhang Kundi , Jiang Dandan , Liebl Wolfgang , Wang Maofeng , Gu Lichuan , Liu Ziyong , Ehrenreich Armin
Published: January 2023

The solvent-producing bacterium Clostridium acetobutylicum is able to grow on a variety of carbohydrates. The main hexose transport system is the phosphoenolpyruvate-dependent phosphotransferase system (PTS). When the gene glcG that encodes the glucose transporter was inactivated, the resulting mutant glcG::int(1224) grew as well as the wild type, yet its glucose consumption was reduced by 17% in a batch fermentation. Transcriptomics analysis of the phosphate-limited continuous cultures showed that the cellobiose transporter GlcCE was highly up-regulated in the mutant glcG::int(1224). The glcCE mutation did not affect growth and even consumed slightly more glucose during solventogenesis growth compared to wild type, indicating that GlcG is the primary glucose-specific PTS. Poor growth of the double mutant glcG::int(1224)-glcCE::int(193) further revealed that GlcCE was the secondary glucose PTS and that there must be other PTSs capable of glucose uptake. The observations obtained in this study provided a promising foundation to understand glucose transport in C. acetobutylicum.
In Silico Prediction of Secondary Metabolites and Biosynthetic Gene Clusters Analysis of Streptomyces thinghirensis HM3 Isolated from Arid Soil
Authors: Rehan Medhat , Gueddou Abdellatif , Alharbi Abdulaziz , Ben Abdelmalek Imen
Published: January 2023

Natural products produced by microorganisms are considered an important resource of bioactive secondary metabolites, such as anticancer, antifungal, antibiotic, and immunosuppressive molecules. Streptomyces are the richest source of bioactive natural products via possessing a wide number of secondary metabolite biosynthetic gene clusters (SM-BGCs). Based on rapid development in sequencing technologies with advances in genome mining, exploring the newly isolated Streptomyces species for possible new secondary metabolites is mandatory to find novel natural products. The isolated Streptomyces thinghirensis strain HM3 from arid and sandy texture soil in Qassim, SA, exerted inhibition activity against tested animal pathogenic Gram-positive bacteria and pathogenic fungal species. In this study, we report the draft genome of S. thinghirensis strain HM3, which consists of 7,139,324 base pairs (bp), with an average G+C content of 71.49%, predicting 7949 open reading frames, 12 rRNA operons (5S, 16S, 23S) and 60 tRNAs. An in silico analysis of strain HM3 genome by the antiSMASH and PRISM 4 online software for SM-BGCs predicted 16 clusters, including four terpene, one lantipeptide, one siderophore, two polyketide synthase (PKS), two non-ribosomal peptide synthetase (NRPS) cluster)/NRPS-like fragment, two RiPP/RiPP-like (ribosomally synthesised and post-translationally modified peptide product), two butyrolactone, one CDPS (tRNA-dependent cyclodipeptide synthases), and one other (cluster containing a secondary metabolite-related protein that does not fit into any other category) BGC. The presented BGCs inside the genome, along with antibacterial and antifungal activity, indicate that HM3 may represent an invaluable source for new secondary metabolites.
Deep Reinforcement Learning Evolution Algorithm for Dynamic Antenna Control in Multi-Cell Configuration HAPS System
Authors: Yang Siyuan , Bouazizi Mondher , Ohtsuki Tomoaki , Shibata Yohei , Takabatake Wataru , Hoshino Kenji , Nagate Atsushi
Published: January 2023

In this paper, we propose a novel Deep Reinforcement Learning Evolution Algorithm (DRLEA) method to control the antenna parameters of the High-Altitude Platform Station (HAPS) mobile to reduce the number of low-throughput users. Considering the random movement of the HAPS caused by the winds, the throughput of the users might decrease. Therefore, we propose a method that can dynamically adjust the antenna parameters based on the throughput of the users in the coverage area to reduce the number of low-throughput users by improving the users’ throughput. Different from other model-based reinforcement learning methods, such as the Deep Q Network (DQN), the proposed method combines the Evolution Algorithm (EA) with Reinforcement Learning (RL) to avoid the sub-optimal solutions in each state. Moreover, we consider non-uniform user distribution scenarios, which are common in the real world, rather than ideal uniform user distribution scenarios. To evaluate the proposed method, we do the simulations under four different real user distribution scenarios and compare the proposed method with the conventional EA and RL methods. The simulation results show that the proposed method effectively reduces the number of low throughput users after the HAPS moves.
Tree Species Composition and Diversity in Fire-Affected Areas of Miombo Woodlands, Central Mozambique
Authors: Buramuge Victorino Américo , Ribeiro Natasha Sofia , Olsson Lennart , Bandeira Romana Rombe , Lisboa Sá Nogueira
Published: January 2023

Fire strongly impacts the composition and structure of ecosystems, with consequences yet to be understood. We used Moderate Resolution Imaging Spectroradiometer (MODIS) data to map fire frequency and fire intensity and investigate their effects on miombo woodlands (MW) of central Mozambique. Tree species diversity was evaluated and compared using rarefaction curves. Non-metric multidimensional scaling (NMDS) ordination was used to identify patterns of species composition occurrence. The indicator value index method was applied to verify the occurrence of fire indicator species. In general, tree communities responded differently to varied fire regimes. We found low tree density in Intermediate fire frequency and intensity (IfIi) (180 trees ha−1) and High-frequency and Low intensity (HfLi) (316 trees ha−1) areas. The IfIi fire regime had the lowest carbon stocks (9.1 Mg ha−1), when compared to the rest of fire regimes. The species diversity decreased as fire intensity increased. IfIi areas had the maximum species diversity. The NMDS showed a varied species composition according to fire regime. We found a strong relationship between the species diversity and composition, and the pattern of fire occurrence in each fire regime. Our results are critical in supporting fire management policies and understanding fire regimes and their effects on miombo trees’ structure and composition.
Large-Fire Ignitions Are Higher in Protected Areas than Outside Them in West-Central Spain
Authors: Arellano-del-Verbo Gonzalo , Urbieta Itziar R. , Moreno José M.
Published: January 2023

Managing protected areas requires knowing what factors control fire ignitions and how likely they are compared to non-protected ones. Here, we modelled fire ignition likelihood in west-central Spain as a function of biophysical and anthropogenic variables in 172 protected areas (PA) of the Natura 2000 network, their buffer zones (BZ, 1500 m area surrounding PA), and non-protected areas (NP). Ignition coordinates from fire statistics (2001–2015 period) were overlaid over maps of relevant biophysical and socioeconomic variables. Models were built for four different fire sizes, small (1–5 ha), medium (5–50 ha), large (50–500 ha), and very large (≥500 ha), using Maxent software. Additionally, PA were classified based on their land use and land cover types by cluster analysis. Mean ignition probabilities were compared between PA, BZ and NP, as well as among different types of PA, by generalized linear models. Maxent models’ accuracy increased as fires were of larger size. Ignitions of small fires were associated with anthropogenic variables, while those of larger fires were more associated with biophysical ones. Ignition likelihood for the small and medium fire sizes was highest in BZ, while being the lowest in PA. Conversely, the likelihood of large and, particularly, very large fires was highest in PA. Mean ignition likelihood varied among types of PA, being highest for very large fires in PA, dominated by pine and mixed forests. Our results support the hypothesis that PAs are at the highest risk of large fire ignition, but BZ were also at high risk for the rest of the fire sizes. This largely reflects the more hazardous nature of PA landscapes. This work provides the needed tools to identify critical fire ignition areas within and nearby protected areas, which should be considered in their conservation and management plans.
Safety Assessment of Hydrogen Jet Fire Scenarios within Semi-Confined Spaces
Authors: Virtue Brock , Mohammadpour Javad , Salehi Fatemeh , Abbassi Rouzbeh
Published: January 2023

Hydrogen fuel cell vehicle (HFCV) technology poses great promise as an alternative to significantly reduce the environmental impact of the transport sector’s emissions. However, hydrogen fuel cell technology is relatively new, therefore, confirmation of the reliability and safety analysis is still required, particularly for fire scenarios within confined spaces such as tunnels. This study applied the computational fluid dynamics (CFD) simulations in conjunction with probabilistic calculation methods to determine the associated thermal risk of a hydrogen jet fire in a tunnel and its dependency on scenarios with different tunnel slopes, longitudinal and transverse ventilation velocities, and fire positions. A large-scale model of 102 m in which the effects of outlined parameter variations on the severity of the fire incident were analysed. It is found that both tunnel ventilation techniques and slope were critical for the effective ejection of accumulated heat. With ventilation playing a primary role in the ejection of heat and gas and slope ensuring the stability of the ejected heat, probabilities of thermal burns were found to be reduced by up to approximately 35% with a strong suggestion of critical combinations to further reduce the dangers of hydrogen tunnel fires.
Reliability-Based Fire Resistance Periods for Buildings in England
Authors: Hopkin Danny , Fu Ian
Published: January 2023

The traditional route to achieving adequate structural performance in the event of fire is through ensuring that structural elements attain fire resistance ratings. The magnitude of these ratings typically varies in function of the building use, size, and height. In their genesis, fire resistance ratings were a proxy for the specification required of elements such that they had a reasonable likelihood of surviving the full duration of a fire, i.e., burn-out. As such, fire resistance periods were specified in the function of fire load, which, over time, progressively increased in consideration of the consequences of fire induced structural failure. This ratcheting of fire resistance periods was seemingly done so based on the collective experience of the profession, in response to observations from real fires and, where applicable, resulting disasters. That is, the safety levels associated with current fire resistance recommendations in most global codes and guidance documents are not determined. Therefore, this paper presents a review of reliability-based acceptance criteria for structures, ahead of their application, to determine fire resistance recommendations for buildings in England based on both codified reliability indices and the principle of relative (marginal) lifesaving costs. The study applies a novel form of probabilistic time equivalence, which is augmented by fire occurrence related statistics/parameters, to arrive at risk-informed fire resistance ratings that directly relate to the life safety consequences of fire induced structural failure (i.e., fatalities) to adequate fire resistance ratings. In determining these building fire resistance periods, it is observed that safety targets which implicitly include material damage and building reconstruction costs result in fire resistance recommendations that are well-aligned with National codes and standards. That is, to some extent, the ratcheting of fire resistance periods with time has resulted in some potential resilience to fire. Where safety targets are rationalised in consideration of life safety only, i.e., through the principle of relative (marginal) lifesaving costs, it is shown that fire resistance periods can be optimised, particularly in sprinkler protected buildings. However, this has the potential to introduce vulnerabilities to common mode failures.
The Impact of High-Intensity Ultrasound-Assisted Extraction on the Structural and Functional Properties of Hempseed Protein Isolate (HPI)
Authors: Yao Shunyu , Li Wu , Wu Yue , Martin Gregory , Ashokkumar Muthupandian
Published: January 2023

Hempseed protein has become a promising candidate as a future alternative protein source due to its high nutritional value. In the current study, hempseed protein isolate (HPI) was obtained using ultrasonic-assisted extraction with the aim to improve the functionality of HPI via protein structure modification. The solubility of HPI could be improved twofold under 20 kHz ultrasound processing compared to conventional alkaline extraction-isoelectric point precipitation. The protein solubility was gradually enhanced as the ultrasonic power improved, whereas excessive ultrasound intensity would cause a decline in protein solubility. Ultrasonic processing was found to have beneficial effects on the other functionalities of the extracted HPI, such as emulsifying and foaming properties. This improvement can be ascribed to the physical effects of acoustic cavitation that changed the secondary and tertiary structures of the protein to enhance surface hydrophobicity and decrease the particle size of the extracted protein aggregates. In addition, more available thiols were observed in US-treated samples, which could be another reason for improved functionality. However, the results of this study also revealed that prolonged high-power ultrasound exposure may eventually have a detrimental impact on HPI functional properties due to protein aggregation. Overall, this study suggests that high intensity ultrasound can enhance the functionality of HPI, which may ultimately improve its value in HPI-based food products.
Quality and Nutritional Parameters of Food in Agri-Food Production Systems
Authors: Çakmakçı Songül , Çakmakçı Ramazan
Published: January 2023

Organic farming is a production system that avoids or largely excludes the use of synthetic agricultural inputs such as pesticides, growth regulators, highly soluble mineral fertilisers, supplements, preservatives, flavouring, aromatic substances and genetically modified organisms, and their products. This system aims to maintain and increase soil fertility and quality, and relies on systems such as crop rotation, polyculture, intercropping, ecosystem management, covering crops, legumes, organic and bio-fertilisers, mechanical cultivation and biological control methods. The present review summarises and evaluates research comparing the quality of traditionally, organically and conventionally produced foods. In some cases, although the results of the studies contradict each other, organically grown in vegetables, especially berries and fruits are slightly higher dry matter, minerals such as P, Ca, Mg, Fe and Zn, vitamin C, sugars, carotenoids, antioxidant activity, phenolic and flavonoid compounds. In addition, their sensory properties are more pleasant. The nutritional content, quality and safety of organic foods are acceptable if the recent trends are reviewed, tested and verified. Therefore, the aim of this review is to compile, describe and update scientific evidence and data on the quality, safety, bioactive compounds and nutritional and phytochemical quality of foods in traditional and organic fruit, vegetable and cereal production systems.
Transcriptome and Proteome Analysis Revealed the Influence of High-Molecular-Weight Glutenin Subunits (HMW-GSs) Deficiency on Expression of Storage Substances and the Potential Regulatory Mechanism of HMW-GSs
Authors: Zhao Yun , Zhao Jie , Hu Mengyun , Sun Lijing , Liu Qian , Zhang Yelun , Li Qianying , Wang Peinan , Ma Wujun , Li Hui , Gao Huimin , Zhang Yingjun
Published: January 2023

The processing quality of wheat is affected by seed storage substances, such as protein and starch. High-molecular-weight glutenin subunits (HMW-GSs) are the major components of wheat seed storage proteins (SSPs); they are also key determinators of wheat end-use quality. However, the effects of HMW-GSs absence on the expression of other storage substances and the regulation mechanism of HMW-GSs are still limited. Previously, a wheat transgenic line LH-11 with complete deletions of HMW-GSs was obtained through introducing an exogenous gene Glu-1Ebx to the wild-type cultivar Bobwhite by transgenic approach. In this study, comparative seed transcriptomics and proteomics of transgenic and non-transgenic lines at different seed developmental stages were carried out to explore the changes in genes and proteins and the underlying regulatory mechanism. Results revealed that a number of genes, including genes related to SSPs, carbohydrates metabolism, amino acids metabolism, transcription, translation, and protein process were differentially enriched. Seed storage proteins displayed differential expression patterns between the transgenic and non-transgenic line, a major rise in the expression levels of gliadins were observed at 21 and 28 days post anthesis (DPA) in the transgenic line. Changes in expressions of low-molecular-weight glutenins (LMW-GSs), avenin-like proteins (ALPs), lipid transfer proteins (LTPs), and protease inhibitors (PIs) were also observed. In addition, genes related to carbohydrate metabolism were differentially expressed, which probably leads to a difference in starch component and deposition. A list of gene categories participating in the accumulation of SSPs was proposed according to the transcriptome and proteome data. Six genes from the MYB and eight genes from the NAC transcription families are likely important regulators of HMW-GSs accumulation. This study will provide data support for understanding the regulatory network of wheat storage substances. The screened candidate genes can lay a foundation for further research on the regulation mechanism of HMW-GSs.
Vitamin D Receptor Gene Polymorphisms Affect Osteoporosis-Related Traits and Response to Antiresorptive Therapy
Authors: Mondockova Vladimira , Kovacova Veronika , Zemanova Nina , Babikova Martina , Martiniakova Monika , Galbavy Drahomir , Omelka Radoslav
Published: January 2023

The present study analyzed the effect of vitamin D receptor (VDR) gene polymorphisms (ApaI, TaqI, BsmI, FokI, and Cdx2) on bone mineral density (BMD), biochemical parameters and bone turnover markers, fracture prevalence, and response to three types of antiresorptive therapy (estrogen-progesterone, raloxifene, and ibandronate) in 356 postmenopausal women from Slovakia. Association analysis revealed a significant effect of BsmI polymorphism on lumbar spine BMD, serum osteocalcin (OC), and β-CrossLaps levels. While ApaI and Cdx2 polymorphisms were associated with OC and alkaline phosphatase, TaqI polymorphism affected all turnover markers. ApaI, TaqI, and BsmI genotypes increased the risk of spinal, radial, or total fractures with odds ratios ranging from 2.03 to 3.17. Each of therapy types evaluated had a beneficial effect on all osteoporosis-related traits; however, the VDR gene affected only ibandronate and raloxifene treatment. ApaI/aa, TaqI/TT, and BsmI/bb genotypes showed a weaker or no response to ibandronate therapy in femoral and spinal BMD. The impact of aforementioned polymorphisms on turnover markers was also genotype dependent. On the contrary, only TaqI and BsmI polymorphisms influenced raloxifene therapy, even only in lumbar spine BMD. These results point to the potential of using the VDR gene in personalized pharmacotherapy of osteoporosis.
Changes in Hox Gene Chromatin Organization during Odontogenic Lineage Specification
Authors: Gopinathan Gokul , Zhang Xinmin , Luan Xianghong , Diekwisch Thomas G. H.
Published: January 2023

Craniofacial tissues comprise highly evolved organs characterized by a relative lack of expression in the HOX family transcription factors. In the present study, we sought to define the epigenetic events that limit HOX gene expression from undifferentiated neural crest cells to semi-differentiated odontogenic progenitors and to explore the effects of elevated levels of HOX. The ChIP-chip data demonstrated high levels of repressive H3K27me3 marks on the HOX gene promoters in ES and cranial neural crest cells when compared to the H3K4me3 marks, while the K4/K27 ratio was less repressive in the odontogenic progenitors, dental follicle, dental pulp, periodontal ligament fibroblasts, alveolar bone osteoblasts, and cementoblasts. The gene expression of multiple HOX genes, especially those from the HOXA and HOXB clusters, was significantly elevated and many times higher in alveolar bone cells than in the dental follicle cells. In addition, the HOX levels in the skeletal osteoblasts were many times higher in the trunk osteoblasts compared to the alveolar bone osteoblasts, and the repressive mark H3K27me3 promoter occupancy was substantially and significantly elevated in the alveolar bone osteoblasts when compared to the trunk osteoblasts. To explore the effect of elevated HOX levels in craniofacial neural crest cells, HOX expression was induced by transfecting cells with the Cdx4 transcription factor, resulting in a significant decrease in the mineralization markers, RUNX2, OSX, and OCN upon HOX elevation. Promoting HOX gene expression in developing teeth using the small molecule EZH2 inhibitor GSK126 resulted in an increased number of patterning events, supernumerary cusp formation, and increased Hoxa4 and Hoxb6 gene expression when compared to the controls. Together, these studies illustrate the profound effects of epigenetic regulatory events at all stages of the differentiation of craniofacial peripheral tissues from the neural crest, including lineage specification, tissue differentiation, and patterning.
Comparison between Parametric and Non-Parametric Supervised Land Cover Classifications of Sentinel-2 MSI and Landsat-8 OLI Data
Authors: Mancino Giuseppe , Falciano Antonio , Console Rodolfo , Trivigno Maria Lucia
Published: January 2023

The present research aims at verifying whether there are significant differences between Land Use/Land Cover (LULC) classifications performed using Landsat 8 Operational Land Imager (OLI) and Sentinel-2 Multispectral Instrument (MSI) data—abbreviated as L8 and S2. To comprehend the degree of accuracy between these classifications, both L8 and S2 scenes covering the study area located in the Basilicata region (Italy) and acquired within a couple of days in August 2017 were considered. Both images were geometrically and atmospherically corrected and then resampled at 30 m. To identify the ground truth for training and validation, a LULC map and a forest map realized by the Basilicata region were used as references. Then, each point was verified through photo-interpretation using the orthophoto AGEA 2017 (spatial resolution of 20 cm) as a ground truth image and, only in doubtful cases, a direct GPS field survey. MLC and SVM supervised classifications were applied to both types of images and an error matrix was computed using the same reference points (ground truth) to evaluate the classification accuracy of different LULC classes. The contribution of S2′s red-edge bands in improving classifications was also verified. Definitively, ML classifications show better performance than SVM, and Landsat data provide higher accuracy than Sentinel-2.
Full Waveform Inversion Based on an Asymptotic Solution of Helmholtz Equation
Authors: Protasov Maxim , Gadylshin Kirill , Neklyudov Dmitry , Klimes Ludek
Published: January 2023

This study considers the full waveform inversion (FWI) method based on the asymptotic solution of the Helmholtz equation. We provide frequency-dependent ray tracing to obtain the wave field used to compute the FWI gradient and calculate the modeled data. With a comparable quality of the inverse problem solution as applied to the standard finite difference approach, the speed of the calculations in the asymptotic method is an order of magnitude higher. A series of numerical experiments demonstrate the approach’s effectiveness in reconstructing the macro velocity structure of complex media for low frequencies.
Gorgias on Knowledge and the Powerlessness of Logos
Authors: Wilburn Josh
Published: January 2023

In Gorgias’s Encomium of Helen and Defense of Palamedes, the orator draws attention to two important limitations of speech’s power that concern its different relationships to belief vs. knowledge. First, logos has the capacity to affect and change a person’s beliefs, but it is powerless to change or undermine a person’s knowledge. Second, speech has the power to produce a new belief, but it is powerless to produce knowledge itself where knowledge is lacking. My primary aim in this essay is to examine Gorgias’s epistemology of persuasive logos with a view to illuminating these two limitations. I suggest that Gorgias’s claims in the Helen and Palamedes make the most sense when considered in the forensic and deliberative contexts in which the art of rhetoric thrived in ancient Greece. In such contexts the prevailing epistemology that contemporary orators take for granted is a kind of folk empiricism that privileges sense-perception as a source of knowledge, and I argue that Gorgias’s ideas about logos and its limitations are best understood in terms of that epistemological framework. Speech cannot make people “unknow” what they have seen with their own eyes, nor can it act as a surrogate or replacement for sense-perception itself.
BMI Alterations and Prevalence of Overweight and Obesity Related to Service Duration at the German Armed Forces
Authors: Scheit Lorenz , End Barbara , Schröder Jan , Hoffmann Manuela Andrea , Reer Rüdiger
Published: January 2023

The aim of this study was to assess body mass index (BMI) and the prevalence of overweight and obesity at entry and release of service at the German Armed Forces and related associations to service duration. In a cohort study, 85,076 paired BMI data sets (entry and release of service) of German soldiers (5.4% females) between 2010 to 2022 were analyzed retrospectively to assess BMI alterations and the prevalence of overweight (BMI ≥ 25) and obesity (BMI ≥ 30) after service durations of ≤2 years, 2–5 years, or ≥5 years. Between 2010 and 2022, we observed a trend for BMI increases of about 0.5 kg/m2 (X2 = 27.104, p = 0.007). BMI increases differed significantly (X2 = 7622.858, p < 0.001) after ≤2 years (0.0 kg/m2), after 2–5 years (1.1 kg/m2), and after ≥5 years (2.4 kg/m2) and were correlated to service duration (r = 0.34, p < 0.001). The prevalence of overweight increased from 33.0% to 39.5%. Obesity prevalence increased from 3.7% to 6.3%. The switch to obesity was more pronounced for longer service durations. Although secular trends for BMI increases among soldiers were in line with the general population, service duration was related to BMI increases. Especially, the service time depending on pronounced prevalence of obesity should be a matter of debate leading to counteracting measures at the German Armed Forces.
Short-Term (4 Day) Effects of Oral Rinsing with Miswak and Green Tea on Gingival Crevicular Fluid Flow and IL-1β Levels: A Pilot Study
Authors: Salah Rasha , Abdulbaqi Hayder Raad
Published: January 2023

Despite the antiplaque effect of mouth-rinsing with a combination composed of miswak (Salvadora persica L.) and green tea (Camellia sinensis var. assamica) extracts, no data are available regarding its effect on gingival tissue at the molecular level. This pilot study aimed to assess the effect of oral rinsing with this combination on gingival crevicular fluid (GCF) flow and IL-1β levels. Ten subjects rinsed with either the combination, 0.12% chlorhexidine gluconate (CHX) or distilled water without toothbrushing for 4 days after receiving baseline polishing. GCF IL-1β concentration, influx, resting volume and plaque quantity were measured at baseline and after 4 days for each intervention. No significant differences in GCF flow or resting volume were detected after rinsing with the different mouthwashes. A significant increase in GCF IL-1β concentration was evident only after rinsing with distilled water. Rinsing with combination induced a significant reduction in GCF influx (−0.086 ± 0.222) compared to CHX (0.088 ± 0.247) and distilled water (0.075 ± 0.201). Less plaque was detected after rinsing with combination and CHX. Short-term oral rinsing with this combination could potentially induce no significant changes in GCF flow and IL-1β concentration, and might retard inflammation. Thus, it might be considered in the production of natural oral healthcare products.
Management Strategies in Septic Coagulopathy: A Review of the Current Literature
Authors: Czempik Piotr F. , Wiórek Agnieszka
Published: January 2023

One of the ‘organs’ that can be affected by sepsis is the coagulation system. Coagulopathy in sepsis may take the form of sepsis-induced coagulopathy (SIC) or sepsis-associated disseminated intravascular coagulation (DIC). It is important to identify SIC early, as at this stage of coagulopathy anticoagulants may be of the greatest benefit. The most recent diagnostic scoring systems for septic coagulopathy come from the International Society on Thrombosis and Hemostasis and the Japanese Association for Acute Medicine. Recommendations regarding the management of septic coagulopathy differ between organizations. Moreover, septic coagulopathy is an area of intense research in recent years. Therefore we searched three databases to review the most recent management strategies in septic coagulopathy. The mainstream management strategies in septic coagulopathy include the causal treatment of sepsis, unfractionated heparin, low-molecular-weight heparin, antithrombin, and recombinant human thrombomodulin. The last two have been associated with the highest survival benefit. Nevertheless, the indiscriminate use of these anticoagulants should be avoided due to the lack of mortality benefit and increased risk of bleeding. The early diagnosis of SIC and monitoring of coagulation status during sepsis is crucial for the timely management and selection of the most suitable treatment at a time. New directions in septic coagulopathy include new diagnostic biomarkers, dynamic diagnostic models, genetic markers for SIC management, and new therapeutic agents. These new research avenues may potentially result in timelier SIC diagnosis and improved management of all stages of septic coagulopathy by making it more effective, safe, and personalized.
Attitudes toward Nursing Profession and Fear of Infectious Diseases among Undergraduate Nursing Students: A Cross-Sectional Study
Authors: Almarwani Abdulaziz Mofdy , Alhowaymel Fahad M. , Alzahrani Naif S. , Alharbi Hanan F.
Published: January 2023

The uncertainty surrounding the effect of infectious diseases on nursing students’ attitudes toward the nursing profession worldwide exists. This study sought to examine the association between fear of infectious diseases and students’ attitudes toward the nursing profession. Methods: This quantitative descriptive cross-sectional study used a convenience sample of 477 students enrolled in nursing programs from three universities located in urban and non-urban areas in Saudi Arabia. Results: The study revealed a positive attitude toward nursing and minimal fear of infectious diseases. Junior nursing students reported significantly better attitudes and preferences toward the nursing profession than senior nursing students. Students who reported positive attitudes toward the nursing profession significantly had no intension to discontinue or transfer from nursing programs, whereas students with low attitudes reported significant intention to discontinue their enrollment in the nursing programs. Students in urban universities reported higher significant fear of infectious diseases compare to non-urban. The study revealed a significant negative correlation between fear of infectious diseases and students’ preference for the nursing profession. Conclusions: Nurse educators need to support senior nursing students’ attitudes toward the nursing profession and reduce their fear of infectious diseases, particularly among students studying in urban areas.
Couple-Based Communication Interventions for Cancer Patient–Spousal Caregiver Dyads’ Psychosocial Adaptation to Cancer: A Systematic Review
Authors: Zhou Junrui , Chen Xuan , Wang Zhiming , Li Qiuping
Published: January 2023

(1) Background: Effective communication among couples in which one has been diagnosed with cancer is critical to improve their psychosocial adaptation to cancer. The objective of this review was to explore the characteristics and measurement outcomes of existing couple-based communication interventions in the cancer context. (2) Methods: Eight electronic databases were searched from database initiation to August 2022 to identify eligible articles. Hand searching was also performed on the included articles’ reference lists and authors. (3) Results: A total of 14 intervention studies were eligible to be included in this review. Cancer couples with distress or communication problems before intervention were more likely to benefit from the couple-based communication interventions. Positive outcomes were reported, including an improvement in relationship functioning (including mutual communication, intimacy, and relationship satisfaction) and individual functioning (including a decline of anxiety, depression and cancer-related concerns, and an increase in psychological adjustment and quality of life). (4) Conclusions: These findings supported the importance of improving mutual communication behaviors to promote cancer patient–spousal caregiver dyads’ psychosocial adaptation to cancer. While most included studies were conducted in western countries and the sample size was relatively small, more research is warranted to develop more efficacious couple-based communication interventions.
Resilience, Perceived Stress from Adapted Medical Education Related to Depression among Medical Students during the COVID-19 Pandemic
Authors: Chakeeyanun Boonyarit , Wongpakaran Nahathai , Wongpakaran Tinakon , Oon-arom Awirut
Published: January 2023

The COVID-19 pandemic disrupted several routine teaching methods in clinical settings which causing psychological distress among medical students. This study aims to explore the association of perceived stress related to the adapted medical education, resilience, and depression among medical students at a medical school in northern Thailand during the COVID-19 outbreak. A total of 437 medical students were recruited in January 2022. Data were obtained using self-administered online questionnaires, including demographic data, perceived challenges in learning online classes, the Resilience Inventory (RI-9), and the Patient Health Questionnaire 9 (PHQ-9). Binary logistic regression analysis was employed to explore factors associated with depression (PHQ-9 ≥ 9). A total of 27% of the participants were identified as having depression. Logistic regression revealed that the presence of previous psychiatric conditions (ß = 2.80, p < 0.05), stress from lack of in-person contact with peers (ß = 1.48, p < 0.05), stress from lack of in-person communication with teachers (ß = 1.49, p < 0.05), and level of resilience (ß = 0.88, p < 0.001) were independently associated factors for depression among medical students. Level of resilience was negatively correlated with depressive symptoms (r = −0.436, p < 0.001). The rate of depression among medical students was higher during the pandemic. Resilience was associated with depression. Strengthening resilience might have an important implication for depression among medical students.
Hybrid Events as a Sustainable Educational Approach for Higher Education
Authors: Nechita Florin , Rățulea Gabriela Georgeta , Borcoman Mariana , Sorea Daniela , Leluțiu Laura Mihaela
Published: January 2023

The sudden shift of online teaching activities in the context of the COVID-19 pandemic has caused disruption. It has been a challenge for both students and teachers. It has also presented an opportunity for a critical analysis of the subject of the educational process in an era of wide access to information technology. One of the desirable consequences of the analysis is to highlight the didactic usefulness of hybrid events. A collective autoethnographic text about the challenges related to moving teaching activities to an online environment during the pandemic at Transilvania University in Brașov (Romania), and an observation report on a cultural event held in hybrid mode in a Europe for Citizens project, hosted by the same university, support the recommendation to consider hybrid education as a solution that must be available to teachers for the efficient management of future possible crisis situations. The teachers retroactively appreciated the logistical, economic and comfort advantages of online education, but they pointed out the difficulties of conducting the teaching process entirely online. The hosted hybrid event highlighted the utility of being able to quickly transition from offline to online. Hybrid learning is efficient because it can combine the benefits of online and offline learning. Teachers trained to manage hybrid events will feel a reduced impact in future crisis situations.
The Effect of Visible Light on the Postharvest Life of Tomatoes (Solanum lycopersicum L.)
Authors: de Bruijn Johannes , Fuentes Nicole , Solar Víctor , Valdebenito Ana , Vidal Leslie , Melín Pedro , Fagundes Francis , Valdés Héctor
Published: January 2023

Tomatoes (Solanum lycopersicum L.) are widely cultivated and consumed, but ripening should be carried out in controlled storage conditions to extend their shelf life and avoid economic losses. The aim of this study was to investigate the effects of visible artificial light on the ripening and quality of fresh market tomatoes stored at a low temperature and high humidity. The postharvest performance with respect to the ripening of organically grown tomatoes in the Toscano cultivar, with a long storage life, was studied in the presence and the absence of visible LED light. The maturation kinetics of the tomatoes was modeled using the Power Law equation. Results showed that tomatoes stored in the presence of light exhibited an increased respiration rate and a faster preclimacteric phase. Lycopene content, total soluble solids, and maturity index increased in the presence of light. Hence, light increased the postharvest ripening of tomatoes, affecting their shelf life.
Investigation of the Effects of the Explant Type and Different Plant Growth Regulators on Micropropagation of Five Mediterranean Salvia spp. Native to Greece
Authors: Papafotiou Maria , Vlachou Georgia , Martini Aikaterini N.
Published: January 2023

Sages are medicinal and aromatic plants that constitute a large pool from which active compounds of great pharmaceutical potential can be derived, while at the same time, they also have ornamental value. The purpose of this study was to develop the micropropagation protocols of Salvia fruticosa, S. officinalis, S. ringens, S. tomentosa, and S. pomifera ssp. pomifera to facilitate their exploitation in the pharmaceutical and floriculture industries. In vitro cultures of S. ringens and S. pomifera ssp. pomifera was studied for the first time. Shoot tips and single node explants from in vitro seedlings were initially cultured on hormone free (Hf)-MS medium, followed by subcultures on MS medium supplemented with 6-benzyladenine (BA) for all species, as well as with zeatin (ZEA), kinetin (KIN), 6-(γ,γ-dimethylallyamino) purine (2iP), or meta-topolin (mT) for S. fruticosa and S. officinalis, at concentrations 0.0 to 3.2 mg L−1, in combination with 0.01 mg L−1 1-naphthaleneacetic acid (NAA). S. officinalis was the most efficient in shoot multiplication of all the studied species. The highest multiplication indices were found using 0.8 mg L−1 BA for S. fruticosa, 0.4 mg L−1 BA, or mT for S. officinalis, and lower than 0.8 mg L−1 BA for the other three species. Hyperhydricity was a problem at the multiplication stage, and was most pronounced in single node explants, increasing in proportion to cytokinin concentration. Microshoots rooted at high percentages (75–85%) on half-strength MS medium with 0.0 or 0.5 mg L−1 Indole-3-butyric acid (IBA), except for those of S. ringens, which rooted best at 1.0–2.0 mg L−1 IBA. Ex vitro acclimatization was highly successful (80–95%) on peat–perlite substrate (1:1 v/v). Thus, the present study resulted in efficient micropropagation protocols for five Mediterranean sage species native to Greece, which will facilitate breeding programs and the promotion of these species in the floriculture and pharmaceutical industries.
High Level of Salmonella Contamination of Leafy Vegetables Sold around the Niayes Zone of Senegal
Authors: Sarré Fatou Béye , Dièye Yakhya , Seck Adji Marième , Fall Cheikh , Dieng Modou
Published: January 2023

Foodborne diseases are an important public health concern worldwide. Following a first global estimate of the burden of these diseases by the World Health Organization in 2015, many high-income countries implemented the generation of national data as a part of strategies to limit the transmission of pathogens through the food chain. In contrast, low-income countries, especially in the sub-Saharan Africa region, have limited data available on the burden and the source of contamination of produce destined for human and animal consumption. In this study, we analyzed Salmonella contamination of vegetables sold in supermarkets and open wet markets of five cities located in the Niayes zone, an area of high market gardening activities in the north western area of Senegal. We found high levels of Salmonella contamination of leafy vegetables, including mint leaves, parsley and lettuce. Contamination was higher in samples from supermarkets compared to open markets. Our results stress the need for an active surveillance of the microbiological quality of vegetables in Senegal, especially the presence of Salmonella, in order to prevent the risk of transmission of this bacterium through the food chain.
Evaluation of Growth and Photosynthetic Rate of Cucumber Seedlings Affected by Far-Red Light Using a Semi-Open Chamber and Imaging System
Authors: Moon Yu Hyun , Yang Myongkyoon , Woo Ui Jeong , Sim Ha Seon , Lee Tae Yeon , Shin Ha Rang , Jo Jung Su , Kim Sung Kyeom
Published: January 2023

Far-red light was excluded in photosynthetic photon flux; however, recent studies have shown that it increases photosynthetic capacity. In addition, there were few studies on the whole canopy photosynthetic rate and continuous changes of morphology on cucumber seedlings affected by far-red light. This study evaluated the effect of conventional white LEDs adding far-red light on cucumber seedlings using a semi-open chamber system for the measurement of the whole canopy gas exchange rate, and the Raspberry Pi-based imaging system for the analysis of a continuous image. In the image, through the imaging system, it was confirmed that far-red light promoted the germination rate of cucumber seedlings and enhanced early growth. However, the dry weight of the shoot and root did not increase. The measured net apparent CO2 assimilation rate was improved by an increasing leaf area during the cultivation period. The conventional white LED light source with added far-red light increased the photosynthetic rate of cucumber seedlings’ whole canopy. However, at the early seedling stage, plant height and leaf area of the whole canopy was increased by far-red light, and it was revealed that the image data saturated faster. It was considered that the photosynthetic efficiency decreased due to a shading effect of the limited planting density of the cell tray. The results found that using appropriate far-red light, considering planting density, could increase the photosynthetic rate of the whole canopy of crops, thereby promoting crop growth, but it was judged that the use of far-red light in the early growth stage of cucumber seedlings should be considered carefully.