bluuebunny/crossref_metadata_2025 huggingface dataset:
Diversity of Anaplasma and novel Bartonella species in Lipoptena fortisetosa collected from captive Eld’s deer in Thailand
Authors: Wechtaisong Wittawat , Sri-in Chalida , Thongmeesee Kritsada , Yurayart Nichapat , Akarapas Chatlada , Rittisornthanoo Ganyawee , Bunphungbaramee Natcha , Sipraya Natthanicha , Bartholomay Lyric C. , Maikaew Umaporn , Kongmakee Piyaporn , Saedan Arpussara , Tiawsirisup Sonthaya
Published: September 2023

Lipoptena insects are important ectoparasites of cervids and may affect humans that are incidentally bitten. The presence of zoonotic pathogen DNA, such as Anaplasma, and Bartonella, raises the importance of Lipoptena insects in veterinary and human medicine. Eld’s deer (Rucervus eldii thamin), an endangered wild ruminant in Thailand, are bred and raised in the open zoo. The semi-wild zoo environment suggests ectoparasite infestation and potential risk for mechanical transmission of pathogens to visitors, zoo workers, or other animals. However, epidemiology knowledge of pathogens related to endangered wild ruminants in Thailand is limited. This study aims to determine the prevalence and diversity of Anaplasma and Bartonella in the L. fortisetosa collected from captive Eld’s deer in Chon Buri, Thailand. Of the 91 Lipoptena DNA samples obtained, 42 (46.15%) and 25 (27.47%) were positive for Anaplasma and Bartonella by molecular detection, respectively. Further, 42 sequences of Anaplasma (4 nucleotide sequence types) showed 100% identity to those detected in other ruminants and blood-sucking ectoparasites. Twenty-five sequences of Bartonella (8 nucleotide sequence types) showed 97.35–99.11% identity to the novel Bartonella species from sika deer and keds in Japan. Phylogenetic trees revealed Anaplasma sequences were grouped with the clusters of A. bovis and other ruminant-related Anaplasma, while Bartonella sequences were clustered with the novel Bartonella species lineages C, D, and E, which originated from Japan. Interestingly, a new independent lineage of novel Bartonella species was found in obtained specimens. We report the first molecular detection of Anaplasma and Bartonella on L. fortisetosa, which could represent infectious status of captive Eld’s deer in the zoo. Wild animals act as reservoirs for many pathogens, thus preventive measures in surrounding areas should be considered to prevent pathogen infection among animals or potential zoonotic infection among humans.
EHS Rapid Guideline: Evidence-Informed European Recommendations on Parastomal Hernia Prevention—With ESCP and EAES Participation
Authors: Stabilini Cesare , Muysoms Filip E. , Tzanis Alexander A. , Rossi Lisa , Koutsiouroumpa Ourania , Mavridis Dimitris , Adamina Michel , Bracale Umberto , Brandsma Henk-Thijs , Breukink Stéphanie O. , López Cano Manuel , Cole Samantha , Doré Suzanne , Jensen Kristian Kiim , Krogsgaard Marianne , Smart Neil J. , Odensten Christoffer , Tielemans Chantal , Antoniou Stavros A.
Published: September 2023

Background: Growing evidence on the use of mesh as a prophylactic measure to prevent parastomal hernia and advances in guideline development methods prompted an update of a previous guideline on parastomal hernia prevention.

Objective: To develop evidence-based, trustworthy recommendations, informed by an interdisciplinary panel of stakeholders.

Methods: We updated a previous systematic review on the use of a prophylactic mesh for end colostomy, and we synthesized evidence using pairwise meta-analysis. A European panel of surgeons, stoma care nurses, and patients developed an evidence-to-decision framework in line with GRADE and Guidelines International Network standards, moderated by a certified guideline methodologist. The framework considered benefits and harms, the certainty of the evidence, patients’ preferences and values, cost and resources considerations, acceptability, equity and feasibility.

Results: The certainty of the evidence was moderate for parastomal hernia and low for major morbidity, surgery for parastomal hernia, and quality of life. There was unanimous consensus among panel members for a conditional recommendation for the use of a prophylactic mesh in patients with an end colostomy and fair life expectancy, and a strong recommendation for the use of a prophylactic mesh in patients at high risk to develop a parastomal hernia.

Conclusion: This rapid guideline provides evidence-informed, interdisciplinary recommendations on the use of prophylactic mesh in patients with an end colostomy. Further, it identifies research gaps, and discusses implications for stakeholders, including overcoming barriers to implementation and specific considerations regarding validity.
Efficacy of Two Tank-Mix Adjuvants to Control Mango Thrips Using a UAV Sprayer
Authors: Zhong Yuan , Jin Ye , Xu Shaoqing , Liu Xiangrui , Song Jianli
Published: September 2023

Thrips have become some of the most challenging pests to control in mango production due to their short developmental time, hidden locations and resistance to pesticides, in the tropical regions of China. To improve pesticides efficacy, the tank-mix adjuvants Qi Gong (QG) and the thrips attractant Lv Dian (LD) were added when using an unmanned aerial vehicle (UAV) to control thrips. The surface tension, contact angle on mango leaves, droplet size, spreading rate, and drying time of the two tank-mix adjuvants were determined. The effects of the two tank-mix adjuvants using a UAV sprayer on the droplet coverage and control efficacy against thrips on mango inflorescences were tested through field trials. The results showed that both QG and LD could reduce the surface tension of the liquid and the contact angle on mango leaves and could increase the spreading performance. The droplet coverage in the upper layer of the canopy was about 2% higher than that in the lower layer, and the coverage at the top of the panicle was 5% higher than that at the bottom. QG improved the deposition coverage of mango inflorescences by about 31.5%. The addition of QG increased the efficacy by 18.24% and 8.03%, respectively, at florescence and the young fruit stage. The addition of the LD increased the efficacy by 24.56% and 14.38%, respectively, at florescence and the young fruit stage. These test results can provide a scientific basis for the control of mango thrips with UAVs.
Fusarium Fungi Pathogens, Identification, Adverse Effects, Disease Management, and Global Food Security: A Review of the Latest Research
Authors: Ekwomadu Theodora Ijeoma , Mwanza Mulunda
Published: September 2023

Fusarium pathogens are ubiquitous and mainly associated with diseases in plants. They are the subject of great economic concern in agriculture due to crop losses to contamination of cereal grains with mycotoxins. Fusarium species are also considered agents of human and animal mycotic infections, having a wide-ranging spectrum of clinical manifestations in immunocompromised patients. Fusarium phytopathogens infect a wide variety of plants and cause symptoms ranging from stunted growth, fruit or seed decay, yellowing, and wilting of the leaves and cankers to root or stem decay. The identification of these fungi is difficult due to their pleomorphic tendency and the presence of both homothallic and heterothallic strains in the same species, and so is identifying them at species level because of variation among isolates. However, molecular tools have so far been very powerful in species identification and phylogeny, as the great diversity of the Fusarium genus has compelled scientists to continuously revise previous taxons. Mostly, Fusarium diseases are difficult to control, as fungi easily overcome host resistance to various methods of control. We present an overview of the recent research on Fusarium fungi, its adverse effects, and its impacts on food security. We further elucidate various methods of identifying them to encourage much-needed research on integrated management of this unavoidable food contaminant to achieve sustainable global food security.
Restoration Techniques Applied in Open Mining Area to Improve Agricultural Soil Fertility
Authors: Peñaranda Barba María Ángeles , Alarcón Martínez Virginia , Gómez Lucas Ignacio , Navarro-Pedreño Jose
Published: September 2023

Open pit mining causes damage in natural and rural regions; that is why soil restoration is necessary in order to recovery soil–plant systems. The application of waste can be a good solution for rehabilitation, and it clearly complies with the circular economy and the zero-waste strategy. This study was carried out in a quarry restoration area in the southeast of Spain, where experimental plots were designed and fertilized with different amendments (commonly used inorganic fertilizer N-K-P, pig slurry, pruning waste and urban solid wastes) with the objective of studying ways to improve the restoration of the soil by using these residues and increase the soil fertility before planting. The treatments applied were evaluated in the short term (two and four months from their addition to topsoil) and medium term (nine months) in order to determine if the restored soils will be adequate for agriculture based on nutrients’ availability. The results showed that in all the treatments, the pH exceeded 8.5 due to the nature of the soil matrix, but after 9 months of the application, in the plots treated with NPK and pig slurry, the pH decreased. In general, with the application of the treatments, soil macro- (N, P, K, Na, Ca and Mg) and micro-nutrients (Fe and Cu) were increased. However, pig slurry and urban solid waste favored N and P, respectively.
Bioavailability of Cd in Agricultural Soils Evaluated by DGT Measurements and the DIFS Model in Relation to Uptake by Rice and Tea Plants
Authors: Wen Yubo , Wang Yuanyuan , Tao Chunjun , Ji Wenbing , Huang Shunsheng , Zhou Mo , Meng Xianqiang
Published: September 2023

The elevated accumulation of cadmium (Cd) in rice (Oryza sativa L.) and tea (Camellia sinensis L.) grown in agricultural soils may lead to a variety of adverse health effects. This study collected and analyzed crop samples along with paired rhizosphere soil samples from 61 sites in Cd-contaminated regions in Anhui Province, China. The findings revealed that both the diffusive gradients in thin-films (DGT) and soil solution were capable of effectively predicting Cd contents in crops. Conventional chemical extraction methods were inappropriate to evaluate the bioavailability of Cd. However, the effective concentrations (CE) corrected by the DGT-induced fluxes in soils (DIFS) model exhibited the strongest correlation with crop Cd contents. Except for CE, various measurement methods yielded better results for predicting Cd bioavailability in tea compared to rice. Pearson’s correlation analysis and the random forest (RF) model identified the key influencing factors controlling Cd uptake by rice and tea, including pH, soil texture, and contents of zinc (Zn) and selenium (Se) in soils, which antagonize Cd. To reduce the potential health risk from rice and tea, the application of soil liming and/or Se-oxidizing bacteria was expected to be an effective management strategy.
The Interaction between Strigolactone and Auxin Results in the Negative Effect of Shading on Soybean Branching Development
Authors: He Lingxiao , Xu Mei , Wang Wenyan , Liu Chunyan , Yu Liang , Liu Weiguo , Yang Wenyu
Published: September 2023

The plant architecture of higher plants is regulated through environmental and genetic factors, as well as phytohormones. Phytohormones play a critical role in regulating shoot branching. We determined the branching phenotype of D16 and N99-6, the content of strigolactones, the genetic expression level, and the interaction between auxin and strigolactones. We found that the branching development of the two soybean varieties under shading was significantly slower than that under normal light. The average branch length of N99-6 decreased by 40.9% after shading; however, the branch length of D16 was not significantly affected. Meanwhile, the branch formation rate in D16 was significantly higher than in N99-6. In addition, after shading treatment, the content of strigolactones in D16 and N99-6 axillary buds increased significantly, and the expression of phytochrome genes, PhyA and PhyB, showed opposite changes. However, strigolactone synthesis gene GmMAX4 and signal transduction gene GmMAX2 expression levels of D16 were lower than those of N99-6 after 24 h of shading. In addition, the application of strigolactone inhibitor TIS108 and auxin inhibitor NPA to soybean had no significant effect on the branch phenotype. The expression of the GmMAX2 gene was significantly up-regulated after the external application of the auxin analog, and the expression of auxin transporter gene GmPINI was significantly down-regulated after external application of the strigolactone analog under shade. In this study, we investigated the adverse effect of shade on soybean branching development, which may be due to the interaction of strigolactones with auxins.
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques
Authors: Li Wenbin , Hacid Hakim , Almazrouei Ebtesam , Debbah Merouane
Published: September 2023

The union of Edge Computing (EC) and Artificial Intelligence (AI) has brought forward the Edge AI concept to provide intelligent solutions close to the end-user environment, for privacy preservation, low latency to real-time performance, and resource optimization. Machine Learning (ML), as the most advanced branch of AI in the past few years, has shown encouraging results and applications in the edge environment. Nevertheless, edge-powered ML solutions are more complex to realize due to the joint constraints from both edge computing and AI domains, and the corresponding solutions are expected to be efficient and adapted in technologies such as data processing, model compression, distributed inference, and advanced learning paradigms for Edge ML requirements. Despite the fact that a great deal of the attention garnered by Edge ML is gained in both the academic and industrial communities, we noticed the lack of a complete survey on existing Edge ML technologies to provide a common understanding of this concept. To tackle this, this paper aims at providing a comprehensive taxonomy and a systematic review of Edge ML techniques, focusing on the soft computing aspects of existing paradigms and techniques. We start by identifying the Edge ML requirements driven by the joint constraints. We then extensively survey more than twenty paradigms and techniques along with their representative work, covering two main parts: edge inference, and edge learning. In particular, we analyze how each technique fits into Edge ML by meeting a subset of the identified requirements. We also summarize Edge ML frameworks and open issues to shed light on future directions for Edge ML.
Effects of Dietary Bacillus subtilis HC6 on Growth Performance, Antioxidant Capacity, Immunity, and Intestinal Health in Broilers
Authors: Liu Shun , Xiao Gengsheng , Wang Qi , Zhang Qingyang , Tian Jinpeng , Li Weifen , Gong Li
Published: September 2023

This study aimed to investigate the impact of Bacillus subtilis HC6 on the growth performance, immunity, antioxidant capacity, and intestinal health of broilers. A total of 180 one-day-old white feather broilers were randomly divided into two experimental groups, each comprising six replicates of fifteen chicks from 1 to 50 d of age. The groups were either fed a basal diet (CON) or the same diet supplemented with 5 × 108 cfu/kg of Bacillus subtilis HC6 (BS). Our results indicated that compared with the CON, dietary supplementation with BS increased feed efficiency during d 21–50 and d 1–50 (p < 0.05). Moreover, BS supplementation enhanced antioxidant capacity in the serum and liver, and also decreased the activity of diamine oxidase and the level of endotoxins (p < 0.05). Additionally, BS treatment increased the villi height in the jejunum and ileum, increased the ratio of villus height/crypt depth in the ileum, upregulated the expression of tight junction proteins in the jejunal mucosa, and downregulated the levels of IL-22 and IFN-γ on day 50 (p < 0.05). Principal coordinates analysis yielded clear clustering of two groups; dietary BS increased the relative abundance of Bacteroidales_unclassified (genus) and Olsenella (genus), and decreased the abundance of genera Alistipes on day 50, which identified a strong correlation with FCR, serum differential metabolites, or differential gene expression in the jejunal mucosa by spearman correlation analysis. The PICRUSt2 analysis revealed that supplementation with BS enriched the pathways related to xenobiotics biodegradation and metabolism, carbohydrate metabolism, energy metabolism, signaling molecules and interaction, the digestive system, and transport and catabolism. These results demonstrated that dietary BS increased feed efficiency, antioxidant capacity, and the mRNA expression of pro-inflammatory cytokines in the jejunal mucosa; and decreased the activity of diamine oxidase in serum, which might be attributed to the modulation of community composition and the functions of cecal microbiota in white-feathered broilers.
Potential Role of Natural Antioxidants in Countering Reperfusion Injury in Acute Myocardial Infarction and Ischemic Stroke
Authors: Orellana-Urzúa Sofía , Briones-Valdivieso Camilo , Chichiarelli Silvia , Saso Luciano , Rodrigo Ramón
Published: September 2023

Stroke and acute myocardial infarction are leading causes of mortality worldwide. The latter accounts for approximately 9 million deaths annually. In turn, ischemic stroke is a significant contributor to adult physical disability globally. While reperfusion is crucial for tissue recovery, it can paradoxically exacerbate damage through oxidative stress (OS), inflammation, and cell death. Therefore, it is imperative to explore diverse approaches aimed at minimizing ischemia/reperfusion injury to enhance clinical outcomes. OS primarily arises from an excessive generation of reactive oxygen species (ROS) and/or decreased endogenous antioxidant potential. Natural antioxidant compounds can counteract the injury mechanisms linked to ROS. While promising preclinical results, based on monotherapies, account for protective effects against tissue injury by ROS, translating these models into human applications has yielded controversial evidence. However, since the wide spectrum of antioxidants having diverse chemical characteristics offers varied biological actions on cell signaling pathways, multitherapy has emerged as a valuable therapeutic resource. Moreover, the combination of antioxidants in multitherapy holds significant potential for synergistic effects. This study was designed with the aim of providing an updated overview of natural antioxidants suitable for preventing myocardial and cerebral ischemia/reperfusion injuries.
Potent Antioxidant and Anti-Tyrosinase Activity of Butein and Homobutein Probed by Molecular Kinetic and Mechanistic Studies
Authors: Pan Wenkai , Giovanardi Ilaria , Sagynova Tomiris , Cariola Alice , Bresciani Veronica , Masetti Matteo , Valgimigli Luca
Published: September 2023

Butein (BU) and homobutein (HB) are bioactive polyhydroxylated chalcones widespread in dietary plants, whose antioxidant properties require mechanistic definition. They were investigated by inhibited autoxidation kinetic studies of methyl linoleate in Triton™ X-100 micelles at pH 7.4, 37 °C. Butein had kinh = (3.0 ± 0.9) × 104 M−1s−1 showing a chain-breaking mechanism with higher antioxidant activity than reference α-tocopherol (kinh = (2.2 ± 0.6) × 104 M−1s−1), particularly concerning the stoichiometry or peroxyl radical trapping n = 3.7 ± 1.1 vs. 2.0 for tocopherol. Homobutein had kinh = (2.8 ± 0.9) × 103 M−1s−1, pairing the relative BDEOH measured by radical equilibration EPR as 78.4 ± 0.2 kcal/mol for BU and estimated as 82.6 kcal/mol for HB. The inhibition of mushroom tyrosinase (mTYR) by HB and BU was also investigated. BU gives a reversible uncompetitive inhibition of monophenolase reaction with KI′ = 9.95 ± 2.69 µM and mixed-type diphenolase inhibition with KI = 3.30 ± 0.75 µM and KI′ = 18.75 ± 5.15 µM, while HB was nearly competitive toward both mono- and diphenolase with respective KI of 2.76 ± 0.70 µM and 2.50 ± 1.56 µM. IC50 values (monophenolase/diphenolase at 1 mM substrate) were 10.88 ± 2.19 µM/15.20 ± 1.25 µM, 14.78 ± 1.05 µM/12.36 ± 2.00 µM, and 33.14 ± 5.03 µM/18.27 ± 3.42 µM, respectively, for BU, HB, and reference kojic acid. Molecular docking studies confirmed the mechanism. Results indicate very potent antioxidant activity for BU and potent anti-tyrosinase activity for both chalcones, which is discussed in relation to bioactivity toward protection from skin disorders and food oxidative spoilage.
Analysis of Urban Maize Yield Response to Urban Sprawl in a Changing Climate: Case of Harare Metropolitan City
Authors: Mandigo Herbert , Mhizha Teddious , Mushore Terence Darlington
Published: September 2023

Agriculture in free spaces within urban areas sustains residents as they grow crops to ensure food availability while at the same time selling other produce to fund other needs. Due to the value of urban agricultural production, the main focus of this study was to investigate the implications of urban growth on maize yield in Harare metropolitan city. In order to achieve this, Landsat multispectral and multi-temporal data were used to establish the responses of the estimated maize yield to city growth from 1984 to 2018. Initially, Land Use and Land Cover map for each period were produced using multispectral images and field observation in Support Vector Machine (SVM)-based supervised image classification. The maps were reclassified using a binary scheme of croplands and non-croplands, which was used to quantify cropland area in each period and hence change over time. The maize yield for each period was estimated from data obtained from a study of maize yields obtained at the University of Zimbabwe Farm (UZ) farm for maize grown under variable agricultural practices. Results showed that cropland area was reduced from 11,120 ha in 1984 down to 2631 ha in 2018. The estimated average maize yield decreased from 52,264 tons in 1984 to 12,366 tons in 2018. In addition to showing the value of urban agriculture, the findings of this study are important in informing the government, municipalities, and other stakeholders about how urban growth has the potential to compromise food security and livelihoods, especially for the urban poor.
PHCNet: Pyramid Hierarchical-Convolution-Based U-Net for Crack Detection with Mixed Global Attention Module and Edge Feature Extractor
Authors: Zhang Xiaohu , Huang Haifeng
Published: September 2023

Crack detection plays a vital role in concrete surface maintenance. Deep-learning-based methods have achieved state-of-the-art results. However, these methods have some drawbacks. Firstly, a single-sized convolutional kernel in crack image segmentation tasks may result in feature information loss for small cracks. Secondly, only using linear interpolation or up-sampling to restore high-resolution features does not restore global information. Thirdly, these models are limited to learning edge features, causing edge feature information loss. Finally, various stains interfere with crack feature extraction. To solve these problems, a pyramid hierarchical convolution module (PHCM) is proposed by us to extract the features of cracks with different sizes. Furthermore, a mixed global attention module (MGAM) was used to fuse global feature information. Furthermore, an edge feature extractor module (EFEM) was designed by us to learn the edge features of cracks. In addition, a supplementary attention module (SAM) was used to resolv interference in stains in crack images. Finally, a pyramid hierarchical-convolution-based U-Net (PHCNet) with MGAM, EFEM, and SAM is proposed. The experimental results show that our PHCNet achieves accuracies of 0.929, 0.823, 0.989, and 0.801 on the Cracktree200, CRACK500, CFD, and OAD_CRACK datasets, respectively, which is higher than that of the traditional convolutional models.
Structure-Dependent Electrochemical Behavior of 2-Pyridone Derivatives: A Combined Experimental and Theoretical Study
Authors: Mašulović Aleksandra , Lović Jelena D. , Lađarević Jelena , Vitnik Vesna , Vitnik Željko , Avramov Ivić Milka , Mijin Dušan
Published: September 2023

In this work, the electrooxidation ability of nine pyridones was evaluated using cyclic (CV) and square-wave voltammetry (SWV) in Britton–Robinson (BR) aqueous buffer solutions on a glassy carbon electrode (GC). The dependence of electrochemical activity on pyridone structure was elucidated by means of experimentally obtained spectra and quantum chemical calculations. Firstly, it was shown that electrochemical activity is determined by the –OH group as a substituent in position 6 of the pyridone ring. By coupling the experimentally obtained UV-Vis spectra and DFT calculations, the most stable forms, both protonated and deprotonated, were defined. The calculated values are consistent with the electrochemical behavior observed, indicating that the deprotonated anionic form was the most electrochemically active. Moreover, the impact of the substituent in position 3 of the pyridone scaffold was discussed.
Multi-Object Detection for Inland Ship Situation Awareness Based on Few-Shot Learning
Authors: Wen Junhui , Gucma Maciej , Li Mengxia , Mou Junmin
Published: September 2023

With the rapid development of artificial intelligence technology and unmanned surface vehicle (USV) technology, object detection and tracking have wide applications in marine monitoring and intelligent ships. However, object detection and tracking tasks on small sample datasets often face challenges due to insufficient sample data. In this paper, we propose a ship detection and tracking model with high accuracy based on a few training samples with supervised information based on the few-shot learning framework. The transfer learning strategy is designed, innovatively using an open dataset of vehicles on highways to improve object detection accuracy for inland ships. The Shuffle Attention mechanism and smaller anchor boxes are introduced in the object detection network to improve the detection accuracy of different targets in different scenes. Compared with existing methods, the proposed method is characterized by fast training speed and high accuracy with small datasets, achieving 84.9% (mAP@0.5) with only 585 training images.
Proposal of New Emulsion Systems Containing Hydroxypropylmethylcellulose as a Viscosity Modifier and Diacylglycerols from Mutton Tallow and Hemp Seed Oil
Authors: Kowalska Małgorzata , Woźniak Magdalena
Published: September 2023

The purpose of this study was to analyze the stability of new emulsions prepared on the basis of modified fats with varying amounts of hydroxypropylmethylcellulose. Selected techniques for evaluating the stability of emulsion systems, such as Turbiscan analysis, and the evaluation of microstructure, texture, particle size and viscosity were used. The evaluation of the above-mentioned studied parameters allowed us to indicate differentiated stability and their properties. The most desired results in terms of stability evaluation were determined for the emulsion prepared on the basis of modified mutton tallow with hemp seed oil in a ratio 3:1 (by weight) containing 0.6% (by weight) of hydroxypropylmethylcellulose. In addition, as the hemp seed oil content in the interesterified fat phase increased, a decrease in the stability of the emulsion systems was noted. Mentioned emulsions were characterized with the lowest value of TSI. Moreover, for those emulsions, the smallest increment in the droplet diameter values of systems after 31 days was recorded. The prepared model formulation can serve as a starting material for new emulsion chemical, cosmetic or food systems.
Reassessing the Gap: Transformations of the High/Low Difference
Authors: Stein Daniel , Werber Niels
Published: September 2023

Popular culture is a relational term that denotes the other side of the high culture coin (Hügel 2003, p [...]
Hybrid near Algebra
Authors: Bhurgula Harika , Pasham Narasimha Swamy , Bandaru Ravikumar , Alali Amal S.
Published: September 2023

The objective of this paper is to study the hybrid near algebra. It has been summarized with the proper definitions and theorems of hybrid near algebra, hybrid near algebra homomorphism and direct product of hybrid near algebra. It has been proved that a homomorphic image of a hybrid near algebra is a hybrid near algebra. It also investigated the intersection of two hybrid near algebras is a hybrid near algebra.
Serving Sizes and Energy Content of Grab-and-Go Sweetened Beverages in Australian Convenience Stores, Supermarkets, and Fast-Food Outlets
Authors: Liu Qingzhou , Lai Jing Ying , Nguyen Kylie , Rangan Anna
Published: September 2023

There is a growing demand for convenience grab-and-go (GNG) food and beverages due to the modern, busy lifestyle. The types of food and beverages available in this sector are currently not well defined, although a large selection of discretionary foods is typically on display. The aims of this study were (1) to summarise the literature on consumers’ purchasing behaviours of sweetened beverages, in particular the effects of purchasing locations and settings, price, promotion, and serving sizes, followed by (2) a cross-sectional audit of available sweetened beverages (sugar-sweetened and intensely sweetened) in the GNG sector. Three common GNG settings (convenience stores, front of supermarket, and fast-food outlets) within metropolitan Sydney, Australia, were selected in three different socioeconomic localities. Data were collected by in-store visits (n = 18) and using brand websites between March and April 2022. A total of 1204 GNG sweetened beverages were included. Sugar-sweetened beverages comprised 67% of beverages, with the highest proportion in fast-food outlets (80%), followed by convenience stores (67%) and supermarkets (61%). The majority (63%) of sugar-sweetened beverages had an energy content higher than 600 kJ and a serving size over 375 mL. Fast-food outlets in particular had the smallest selection of sugar-sweetened beverages less than or equal to 250 mL (5.1%). No differences across socioeconomic localities in the proportion and serving sizes of available sugar-sweetened beverages were observed. These findings show that the majority of GNG sweetened beverages have large serving sizes and high energy content, and opportunities exist to improve this food environment. An increased selection of smaller serving sizes can nudge consumers towards more appropriate serving size selections.
Monitoring Resistance Training in Real Time with Wearable Technology: Current Applications and Future Directions
Authors: de Beukelaar Toon T. , Mantini Dante
Published: September 2023

Resistance training is an exercise modality that involves using weights or resistance to strengthen and tone muscles. It has become popular in recent years, with numerous people including it in their fitness routines to ameliorate their strength, muscle mass, and overall health. Still, resistance training can be complex, requiring careful planning and execution to avoid injury and achieve satisfactory results. Wearable technology has emerged as a promising tool for resistance training, as it allows monitoring and adjusting training programs in real time. Several wearable devices are currently available, such as smart watches, fitness trackers, and other sensors that can yield detailed physiological and biomechanical information. In resistance training research, this information can be used to assess the effectiveness of training programs and identify areas for improvement. Wearable technology has the potential to revolutionize resistance training research, providing new insights and opportunities for developing optimized training programs. This review examines the types of wearables commonly used in resistance training research, their applications in monitoring and optimizing training programs, and the potential limitations and challenges associated with their use. Finally, it discusses future research directions, including the development of advanced wearable technologies and the integration of artificial intelligence in resistance training research.
Zeb1 Regulates the Function of Lympho-Myeloid Primed Progenitors after Transplantation
Authors: Almotiri Alhomidi , Boyd Ashleigh S. , Rodrigues Neil P.
Published: September 2023

Zeb1, a zinc finger E-box binding homeobox epithelial–mesenchymal (EMT) transcription factor, acts as a critical regulator of hematopoietic stem cell (HSC) self-renewal and multi-lineage differentiation. Whether Zeb1 directly regulates the function of multi-potent progenitors primed for hematopoietic lineage commitment remains ill defined. By using an inducible Mx-1 Cre conditional mouse model where Zeb1 was genetically engineered to be deficient in the adult hematopoietic system (hereafter Zeb1−/−), we found that the absolute cell number of immunophenotypically defined lympho-myeloid primed progenitors (LMPPs) from Zeb1−/− mice was reduced. Myeloid- and lymphoid-biased HSCs in Zeb1−/− mice were unchanged, implying that defective LMPP generation from Zeb1−/− mice was not directly caused by an imbalance of lineage-biased HSCs. Functional analysis of LMPP from Zeb1−/− mice, as judged by competitive transplantation, revealed an overall reduction in engraftment to hematopoietic organs over 4 weeks, which correlated with minimal T-cell engraftment, reduced B-cell and monocyte/macrophage engraftment, and unperturbed granulocyte engraftment. Thus, Zeb1 regulates LMPP differentiation potential to select lympho-myeloid lineages in the context of transplantation.
Aceclofenac/Citronellol Oil Nanoemulsion Repurposing Study: Formulation, In Vitro Characterization, and In Silico Evaluation of Their Antiproliferative and Pro-Apoptotic Activity against Melanoma Cell Line
Authors: Younis Mona K. , Khalil Islam A. , Younis Nancy S. , Fakhr Eldeen Rasha R. , Abdelnaby Rana M. , Aldeeb Reem A. , Taha Amal A. , Hassan Doaa H.
Published: September 2023

Aceclofenac (ACF) is a widely used non-steroidal anti-inflammatory drug (NSAID) known for its effectiveness in treating pain and inflammation. Recent studies have demonstrated that ACF possesses antiproliferative properties, inhibiting the growth of cancer cells in various cancer cell lines. Citronellol, a monoterpenoid alcohol found in essential oils, exhibits antioxidant properties and activities such as inhibiting cell growth and acetylcholinesterase inhibition. In this study, the objective was to formulate and evaluate an aceclofenac/citronellol oil nanoemulsion for its antiproliferative effects on melanoma. The optimal concentrations of citronellol oil, Tween 80, and Transcutol HP were determined using a pseudoternary phase diagram. The formulated nanoemulsions were characterized for droplet size, zeta potential, thermophysical stability, and in vitro release. The selected formula (F1) consisted of citronellol oil (1 gm%), Tween 80 (4 gm%), and Transcutol HP (1 gm%). F1 exhibited a spherical appearance with high drug content, small droplet size, and acceptable negative zeta potential. The amorphous state of the drug in the nanoemulsion was confirmed by Differential Scanning Calorimetry, while FTIR analysis indicated its homogenous solubility. The nanoemulsion showed significant antiproliferative activity, with a lower IC50 value compared to aceclofenac or citronellol alone. Flow cytometric analysis revealed cell cycle arrest and increased apoptosis induced by the nanoemulsion. In silico studies provided insights into the molecular mechanism underlying the observed antitumor activity. In conclusion, the developed aceclofenac/citronellol oil nanoemulsion exhibited potent cytotoxicity and pro-apoptotic effects, suggesting its potential as a repurposed antiproliferative agent for melanoma treatment. In a future plan, further animal model research for validation is suggested.
Lightweight Soft Robotic Glove with Whole-Hand Finger Motion Tracking for Hand Rehabilitation in Virtual Reality
Authors: Li Fengguan , Chen Jiahong , Zhou Zhitao , Xie Jiefeng , Gao Zishu , Xiao Yuxiang , Dai Pei , Xu Chanchan , Wang Xiaojie , Zhou Yitong
Published: September 2023

Soft robotic gloves have attracted significant interest in hand rehabilitation in the past decade. However, current solutions are still heavy and lack finger-state monitoring and versatile treatment options. To address this, we present a lightweight soft robotic glove actuated by twisted string actuators (TSA) that provides whole-hand finger motion tracking. We have developed a virtual reality environment for hand rehabilitation training, allowing users to interact with various virtual objects. Fifteen small inertial measurement units are placed on the glove to predict finger joint angles and track whole-hand finger motion. We performed TSA experiments to identify design and control rules, by understanding how their response varies with input load and voltages. Grasping experiments were conducted to determine the grasping force and range of motion. Finally, we showcase an application of the rehabilitation glove in a Unity-based VR interface, which can actuate the operator’s fingers to grasp different virtual objects.
A Narcissism/Vanity Distinction? Reassessing Vanity Using a Modern Model of Narcissism Based on Pride, Empathy, and Social Behaviors
Authors: Wheeler Madison A. , Burns Lawrence R. , Stephenson Paul
Published: September 2023

The primary purpose of this study is to evaluate the role of vanity in its longstanding theoretical association with narcissism. This is particularly germane, as the conceptualization and measurement of narcissism have evolved in recent years. This is observed in the development of spectrum and/or dimensional models of narcissism, concomitant with the conceptual developments of vanity that have emerged since its original inclusion in the Narcissism Personality Inventory. Specifically, our research question evaluated whether vanity remains as traditionally construed, i.e., as a facet of narcissism, or is better conceptualized as a distinct construct separated from the earlier models of narcissism and therefore provide novel implications in understanding personality and social behavior. Based on the traits of pride, empathy, and several social behavior variables, it was hypothesized that a differentiation between narcissism and vanity would be observed. The participants were 441 undergraduate students from a large public midwestern university who participated in a self-report online survey. Correlation and regression analyses were conducted. The results revealed that the characterization of vanity is limited to pride and an absence of empathy and social behavior. Findings reaffirm behavior patterns of grandiose and vulnerable narcissism regarding selflessness, image management, and sensitivity to others. The core motivations of vanity are explicated as based on social comparison theory to assess one’s subjective and/or objective value though it is not characterized as a “social” trait or by social behavior, in contrast to how narcissism is characterized. Based on our findings and an improved understanding of the narcissism model, we conclude that vanity is more closely related to the grandiose dimension of narcissism and discuss how the underlying motivations of vanity improve our understanding of grandiose narcissism. We discuss the implications that these findings provide to the developing, modern conceptualizations of narcissism and affirm and expand our understanding of vanity in personality.
Mediating Role of PERMA Wellbeing in the Relationship between Insomnia and Psychological Distress among Nursing College Students
Authors: Sun Qian , Zhao Xiangyu , Gao Yiming , Zhao Di , Qi Meiling
Published: September 2023

Background: Psychological distress is an important mental health problem in college students. Insomnia may be a major factor contributing to psychological distress. This study aimed to explore the indirect relationship between insomnia and psychological distress through the five PERMA wellbeing variables (i.e., positive emotions, engagement, relationships, meaning in life, and achievement) among nursing college students. Methods: A cross-sectional study was conducted in China using an online survey design. Mediation analyses were examined using the PROCESS macro version 4.1 for SPSS 27.0. A total of 1741 nursing college students completed the online survey. Results: Insomnia was positively associated with psychological distress (p < 0.01, r = 0.673), while negative associations were detected between PERMA wellbeing variables and insomnia (p < 0.01, r range = −0.176 and −0.272), as well as psychological distress (p < 0.01, r range = −0.196 and −0.386). The association between insomnia and psychological distress was partially mediated by the participants’ positive emotions (indirect effect = 0.137, SE = 0.024, 95% CI boot = [0.094, 0.188]), engagement (indirect effect = −0.033, SE = 0.010, 95% CI boot = [−0.054, −0.017]), and meaning in life (indirect effect = 0.027, SE = 0.014, 95% CI boot = [0.001, 0.055]) but not their relationships or achievement of the PERMA wellbeing variables. Conclusions: The findings of this study suggest that the PERMA wellbeing variables, especially positive emotions, engagement, and meaning in life, could be potential mechanisms by which insomnia is associated with psychological distress. The mediating roles of PERMA wellbeing variables between insomnia and psychological distress could be incorporated into the health management of university administrations to promote the health and wellbeing of nursing college students.
Transfer Learning for Structural Health Monitoring in Bridges That Underwent Retrofitting
Authors: Omori Yano Marcus , Figueiredo Eloi , da Silva Samuel , Cury Alexandre , Moldovan Ionut
Published: September 2023

Bridges are built to last more than 100 years, spanning many human generations. Throughout their lifetime, their service requirements may change, or they age and often suffer a material degradation process that can lead to the need of retrofitting. In bridge engineering, retrofitting refers to the strengthening of existing structures to make them more resistant and to increase the lifespan of bridges. Retrofitting normally increases the stiffness of bridge components, which can cause significant changes in the global modal properties. In the context of structural health monitoring, a classifier trained with datasets before retrofitting will most likely output many outliers after retrofitting, based on the premise that the new observations do not share the same underlying distribution. Therefore, how can long-term monitoring data from one bridge (labeled source domain) be reused to create a classifier that generalizes to the same bridge after retrofitting (unlabeled target domain)? This paper presents a novel approach based on transfer learning in the context of domain adaptation on datasets from two real bridges subjected to retrofit and under-monitoring programs. Based on the assumption that both bridges are undamaged before retrofitting, the results show that transfer learning can support the long-term damage detection process based on a classification using an outlier detection strategy.
Developing a Waterproofing Decision-Making Model for High-Rise Building Projects in the Tropics
Authors: Senarathne Helapura Nuwanshi Yasodara , Asmone Ashan Senel , Chew Michael Yit Lin
Published: September 2023

The most severe problem in high-rise structures is a failure to achieve watertightness. Since the presence of water in a structure can have a detrimental impact, adequate consideration must be taken when selecting a suitable waterproofing system based on several factors. As a result, this research aims to examine the factors that affect the selection of the best waterproofing solution in high-rise building projects in the tropics. Preliminary observations were conducted to investigate typically occurring issues with high-rise buildings which contain commercial, office, and residential facilities. Data were collected through questionnaire surveys and semi-structured interviews with professionals in the waterproofing industry. This study provides a comprehensive understanding of the issues concerning waterproofing and suggests an effective solution for the same. The assessment of the best waterproofing selection criterion was analyzed by incorporating the Best Worst Method (BWM). Based on the global ranking reached, the decision-making framework was developed, and three main specifications, technical, construction, and product, were suggested to select an ideal waterproofing solution. This study provides insightful guidance for professionals in the waterproofing industry and their clientele towards an optimal solution, facilitating informed decision-making processes.
Thermal Comfort in Urban Open Green Spaces: A Parametric Optimization Study in China’s Cold Region
Authors: Lin Jiayi , Jiang Songlin , Zhang Shuangyu , Yang Siyu , Ji Wenli , Li Weizhong
Published: September 2023

In this study, typical open spaces were selected in the urban area of Lanzhou, China, with varying distances from the Yellow River and different plant configuration spaces. Then, the thermal perception of respondents was investigated through meteorological measurements, thermal comfort questionnaires, and parametric modeling. The findings indicate the following: (1) Wind speed decreases significantly as the distance from the Yellow River increases in the three open green spaces. (2) The cold lake effect of the Yellow River dominates the wind environment. (3) The closest site to the Yellow River exhibits the strongest correlation between wind speed and the respondents’ thermal sensation. (4) There is a strong positive correlation between the model output and different spatial measurement values. (5) There is a certain discrepancy between the UTCI values and the actual measurements, but the fit is high and consistent with an R-squared value of 0.936. This study quantitatively evaluated the thermal comfort and perception in typical spaces and validated the reliability of parameterized modeling for such spaces, providing a reference basis for thermal environment planning in these spaces.