bluuebunny/crossref_metadata_2025 huggingface dataset:
Antimicrobial and biocide resistance in Staphylococcus aureus: genomic features, decontamination strategies, and the role of S. aureus complex-related species, with a focus on ready-to-eat food and food-contact surfaces
Authors: Chieffi Daniele , Fanelli Francesca , Fusco Vincenzina
Published: May 2023

Staphylococcus (S.) aureus can proliferate in a broad range of food and contact surfaces. The ability to grow as a biofilm enhances its resistance to cleaning agents and the chance to persist on food facility contact surfaces and enter the food chain. This presents a risk to the health of food workers and consumers, considering that this pathogen has been associated with a wide variety of local and systemic human infections, as well as with food poisoning caused by the production of enterotoxins. In particular, ready-to-eat (RTE) food, that does not undergo further processing capable of reducing bacterial contamination, may be of particular concern since its consumption poses a direct microbiological risk to consumers. To worsen this scenario, S. aureus harbors several biocide and antimicrobial resistance genes (BRGs and ARGs), which, respectively, reduce the efficacy of sanitizing agents during cleaning procedures and antimicrobial treatments when infections occur. Considering this, several novel methods have recently been investigated to control S. aureus contamination in food and contact surfaces in food facilities in order to overcome the limitations of traditional sanitizing protocols and improve the safety of the produced food products. In this review, we will provide an overview of S. aureus ARGs and BRGs and whole-genome sequence (WGS)-based methods recently implemented for their surveillance. Furthermore, we will describe the presence of antimicrobial-resistant S. aureus in RTE food and food-contact surfaces and present novel natural or chemical compounds, new food-contact materials, and innovative physical methods to control the contamination of this pathogen in the food sector. Finally, we will also discuss if S. aureus complex-related species are emerging as new antimicrobial-resistant pathogens of the food chain.
Meta-omics profiling of the gut-lung axis illuminates metabolic networks and host-microbial interactions associated with elevated lung elastance in a murine model of obese allergic asthma
Authors: Heinrich Victoria A. , Uvalle Crystal , Manni Michelle L. , Li Kelvin , Mullett Steven J. , Donepudi Sri Ramya , Clader Jason , Fitch Adam , Ellgass Madeline , Cechova Veronika , Qin Shulin , Holguin Fernando , Freeman Bruce A. , Methé Barbara A. , Morris Alison , Gelhaus Stacy L.
Published: May 2023

Obesity and associated changes to the gut microbiome worsen airway inflammation and hyperresponsiveness in asthma. Obesogenic host-microbial metabolomes have altered production of metabolites that may influence lung function and inflammatory responses in asthma. To understand the interplay of the gut microbiome, metabolism, and host inflammation in obesity-associated asthma, we used a multi-omics approach to profile the gut-lung axis in the setting of allergic airway disease and diet-induced obesity. We evaluated an immunomodulator, nitro-oleic acid (NO2-OA), as a host- and microbial-targeted treatment intervention for obesity-associated allergic asthma. Allergic airway disease was induced using house dust mite and cholera toxin adjuvant in C57BL6/J mice with diet-induced obesity to model obesity-associated asthma. Lung function was measured by flexiVent following a week of NO2-OA treatment and allergen challenge. 16S rRNA gene (from DNA, taxa presence) and 16S rRNA (from RNA, taxa activity) sequencing, metabolomics, and host gene expression were paired with a Treatment-Measured-Response model as a data integration framework for identifying latent/hidden relationships with linear regression among variables identified from high-dimensional meta-omics datasets. Targeting both the host and gut microbiota, NO2-OA attenuated airway inflammation, improved lung elastance, and modified the gut microbiome. Meta-omics data integration and modeling determined that gut-associated inflammation, metabolites, and functionally active gut microbiota were linked to lung function outcomes. Using Treatment-Measured-Response modeling and meta-omics profiling of the gut-lung axis, we uncovered a previously hidden network of interactions between gut levels of amino acid metabolites involved in elastin and collagen synthesis, gut microbiota, NO2-OA, and lung elastance. Further targeted metabolomics analyses revealed that obese mice with allergic airway disease had higher levels of proline and hydroxyproline in the lungs. NO2-OA treatment reduced proline biosynthesis by downregulation of pyrroline-5-carboxylate reductase 1 (PYCR1) expression. These findings are relevant to human disease: adults with mild-moderate asthma and BMI ≥ 25 had higher plasma hydroxyproline levels. Our results suggest that changes to structural proteins in the lung airways and parenchyma may contribute to heightened lung elastance and serve as a potential therapeutic target for obese allergic asthma.
Urban bee functional groups response to landscape context in the Southeastern US
Authors: Braman Charles A. , McCarty Elizabeth , Ulyshen Michael D. , Janvier Amy Joy , Traylor Clayton , Edelkind-Vealey Miriam , Braman S. Kristine
Published: May 2023

We investigated the influence of landscape cover on urban bee community functional groups. We observed a diversity of functional groups across primarily forested and primarily urban sites, however particular species were favored by forest/urban spaces. Results point to the importance of further investigating the nuance of land use impacts on pollinator communities, and in particular demonstrates the merit of investigating landscape heterogeneity. Conservation of forest remnants in urban environments can positively impact wild bees across multiple functional groups.
Impact of COVID-19 pandemic on the existence of social solidarity: evidence from rural-urban communities in Lombok Island, Indonesia
Authors: Sayuti Rosiady H. , Taqiuddin Moh , Evendi Azhari , Hidayati Siti Aisyah , Muttaqin M. Zaenul
Published: May 2023

The COVID-19 pandemic that has hit the entire world since the beginning of 2020 is an unimaginable phenomenon. The pandemic is disastrous because it has caused loss of life and livelihood for a large part of the population. People lose their jobs, spaces for social interaction are closed, and social relationships are disrupted. Several studies show that social solidarity should be a major concern for people to sustain the future quality of their lives. Social solidarity dimensions in this study include gotong royong (local culture of mutual help), marriage banjars (local association), cooperation, and sharing of information. This study aims to examine the existence of social solidarity during the pandemic in rural and urban areas and to know the level of community exposure to COVID-19 in Lombok Island, Indonesia. This research adopted a quantitative approach to identify and analyse the existence of social solidarity in rural and urban communities during the COVID-19 pandemic. A set of questionnaires was distributed and shared by enumerators with 1,100 targeted-respondents from Lombok Island. The survey was carried out from 14th October to 28th October 2021, that is, during a recovery period from the pandemic while restrictions implemented by the government were still in full force. Chi square statistical analysis was used to test whether there were differences in social solidarity between those who lived in rural areas and those who lived in urban areas. This research found the existence of social solidarity in both rural and urban communities during the pandemic. The level of social solidarity in rural areas is higher than in urban areas. While related to the number of those who were exposed and died, conditions were higher in rural areas than in urban areas. However, in terms of the death rate, the level of death rate in urban areas is higher than in rural areas. This condition indicates differences in the characteristics of rural and urban communities, which can be considered in implementing policies during a future pandemic. This research provides evidence for local governments in formulating policies with a social solidarity perspective by taking into account the different characteristics of rural and urban communities.
Fungal mycotoxins in food commodities: present status and future concerns
Authors: Pandey Abhay K. , Samota Mahesh K. , Kumar Abhishek , Silva Ana Sanches , Dubey Nawal K.
Published: May 2023

Mycotoxins are toxic secondary metabolites produced by fungi when they colonies the foodstuffs. These are potent toxins having severe health consequences in people, being mutagenic, teratogenic, and carcinogenic. In agricultural commodities, the contamination of mycotoxins is more prevalent. Several fungi can produce mycotoxins on agricultural products during harvest or in postharvest, and they have significant adverse effects on both animal and human beings. The most prevalent mycotoxins found in food commodities are aflatoxins and ochratoxins produced by Aspergillus species, ochratoxins and patulin produced by Penicillium, as well as fumonisins, deoxynivalenol, and zearalenone produced by Fusarium species. Worldwide, fumonisins, patulin, aflatoxins, and ochratoxins, among others, are responsible for numerous acute and chronic diseases in people and domestic animals. In food commodities, mycotoxins have been quantified and detected using various analytical methods. Besides, mycotoxins occurrence in food commodities were decontaminated through many potential approaches, such as physical, chemical, and biological methods. This review summarizes the findings of 30 years of research into mycotoxins in major commercial food crops including wheat, maize, sorghum, pearl millet, peanut, oat, pulses, barley, oilseeds, rice, and fruits and fruit juices. We also discuss the detection methods of major mycotoxins, available decontamination strategies along with their disadvantages and knowledge gaps. It is anticipated that data from meticulous studies on mycotoxins in food commodities will help in the development of safer food and in setting priorities for future research.
Don't be afraid of black holes: Vacuum sponge and vacuum stent treatment of leaks in the upper GI tract—a case series and mini-review
Authors: Schäfer Christian
Published: May 2023

The treatment of leaks in the upper gastrointestinal tract has been revolutionized by the advent of covered self-expanding metal stents (cSEMS), endoscopic vacuum therapy (EVT), and recently, vacuum stent therapy (VST). In this retrospective study, we report the experiences with EVT and VST at our institution.

Patients and methods

Twenty-two patients (15 male, 7 female) with leaks in the esophagus, at the esophago-gastric junction or anastomotic leaks underwent EVT by placing a sponge connected to a negative pressure pump into or near the leak. VST was applied in three patients.

Results

EVT led to closure of the leak in 18 of 22 Patients (82%). In 9 patients (41%), EVT was followed by application of a cSEMS. One patient (5%) died during the hospital stay due to an aorto-esophageal fistula near the leak, four others (18%) due to underlying disease. The stricture rate was 3/22 (14%). All three patients in whom VST was applied had closure of the leak and recovered. Reviewing the literature, we identified sixteen retrospective series of ten or more patients (n = 610) with an overall closure rate for EVT of 84%. In eight additional retrospective observations, a comparison between the efficacy of EVT and cSEMS therapy was performed that revealed a success rate of 89% and 69%, respectively (difference not significant, chi-square test). For VST, two small series show that closure is possible in the majority of patients.

Conclusion

EVT and VST are valuable options in the treatment of leaks in the upper gastrointestinal tract.
Genome-wide DNA methylation analysis reveals different methylation patterns in Chinese indigenous sheep with different type of tail
Authors: Caiye Zhu , Song Shuzhen , Li Minna , Huang Xaioyu , Luo Yan , Fang Suli
Published: May 2023

Background

The study was aimed to analyze the difference of genome-wide DNA differential methylation in Lanzhou Large-tailed sheep, Altay sheep and Tibetan sheep, which the typical breeds with different type tails, as to screen the differentially methylated genes (DMGs) that affect the type of tails.

Methods

In this study, three Lanzhou Large-tailed sheep, three Altay sheep and three Tibetan sheep were detected by whole genome bisulfite sequencing (WGBS). The degree of genome-wide DNA methylation, differentially methylated regions (DMRs) and DMGs were analyzed. The candidate genes affecting the tail type of sheep were identified by GO and KEGG pathway enrichment analysis of DMGs.

Results

we identified 68,603 different methylated regions (DMCs) and 75 differentially methylated genes (DMGs) associated with these DMCs. Functional analysis showed that these DMGs were mainly enriched in biological process, cellular component and molecular function, Some of the genes in these pathways are involved in fat metabolism: NFATC4, LPIN2, MGAT2 and MAT2B.

Conclusion

Our results may help to further understand the epigenetic regulation mechanisms of deposition of fat in the tail of sheep and provide new basic data for the study of local sheep.
Effects of Watermelon Cropping Management on Soil Bacteria and Fungi Biodiversity
Authors: Tian Mei , Liang Jinjin , Liu Shengfeng , Yu Rong , Zhang Xingxu
Published: May 2023

Watermelons grown in sandy soil are rich in trace elements, particularly selenium, and are therefore also known as selenium-rich sand watermelons. However, continuous watermelon cultivation in the same sandy field decreases soil fertility and degrades the ecosystem, ultimately resulting in low-quality watermelons. Introducing different crops into the crop pattern could alleviate the problems posed by continuous cropping. A field experiment was conducted to explore the effects of different crop patterns on soil microbial communities and soil properties via standard techniques. The results showed that 14,905 bacterial and 2150 fungal operational taxonomic units were obtained and assigned to eight bacterial and five fungal phyla, respectively. Soil bacterial communities primarily comprised Proteobacteria, Planctomycetes, Actinobacteria, and Acidobacteria, and the soil fungal community was dominated by Ascomycota, Chytridiomycota, and Basidiomycota. Different crop patterns had a significant effect on the Chao and ACE indexes of fungal communities in the soil. The rotation of six years of watermelon and one year of wheat had the highest richness indexes of all the rotations. Different crop patterns had significant effects on soil properties, such as organic matter (OM), total nitrogen (TN), total potassium (TK), available phosphorus (AP), available K, nitrate nitrogen (NN), and pH. The soil OM, TN, NN, and pH of six years of watermelon and one year of wheat cultivation were significantly higher than those of the other three crop patterns. In addition, the soil TK and AP of the continuous watermelon planting treatment were significantly higher than those of the other three crop patterns. Redundancy analysis results revealed many complex relationships between soil properties and soil bacterial or fungal communities. Employing different crop patterns plays an important role in the effective regulation of soil microbial diversity and properties.
Measures of Oxidative Status Markers in Relation to Age, Sex, and Season in Sick and Healthy Captive Asian Elephants in Thailand
Authors: Kosaruk Worapong , Brown Janine L. , Towiboon Patcharapa , Punyapornwithaya Veerasak , Pringproa Kidsadagon , Thitaram Chatchote
Published: May 2023

Oxidative stress is a pathological condition that can have adverse effects on animal health, although little research has been conducted on wildlife species. In this study, blood was collected from captive Asian elephants for the assessment of five serum oxidative status markers (reactive oxygen species (ROS) concentrations; malondialdehyde, MDA; albumin; glutathione peroxidase, GPx; and catalase) in healthy (n = 137) and sick (n = 20) animals. Health problems consisted of weakness, puncture wounds, gastrointestinal distress, eye and musculoskeletal problems, and elephant endotheliotropic herpesvirus hemorrhagic disease (EEHV-HD). Fecal samples were also collected to assess glucocorticoid metabolites (fGCMs) as a measure of stress. All data were analyzed in relation to age, sex, sampling season, and their interactions using generalized linear models, and a correlation matrix was constructed. ROS and serum albumin concentrations exhibited the highest concentrations in aged elephants (>45 years). No sex differences were found for any biomarker. Interactions were observed for age groups and seasons for ROS and catalase, while GPx displayed a significant interaction between sex and season. In pairwise comparisons, significant increases in ROS and catalase were observed in summer, with higher ROS concentrations observed only in the adult female group. Lower catalase activity was exhibited in juvenile males, subadult males, adult females, and aged females compared to subadult and adult elephants (males and females) in winter and the rainy season. There was a positive association between catalase activity and fGCMs (r = 0.23, p < 0.05), and a number of red blood cell parameters were positively associated with several of these biomarkers, suggesting high oxidative and antioxidative activity covary in red cells (p < 0.05). According to health status, elephants with EEHV-HD showed the most significant changes in oxidative stress markers, with MDA, GPx, and catalase being higher and albumin being lower than in healthy elephants. This study provides an analysis of understudied health biomarkers in Asian elephants, which can be used as additional tools for assessing the health condition of this species and suggests age and season may be important factors in data interpretation.
Fracture Healing in 37 Dogs and Cats with Implant Failure after Surgery (2013–2018)
Authors: Menghini Timothy L. , Shriwise Georgia , Muir Peter
Published: May 2023

Implant failure is common in small animal orthopedics, but risk factors are rarely reported. Our objective was to determine whether abnormal fracture healing was associated with implant failure after fracture fixation in dogs and cats in a consecutive series of cases. Thirty-seven client-owned animals (thirty-two dogs, five cats) diagnosed with implant failure after fracture treatment from January 2013–September 2018 were studied. Medical and radiographic records were retrospectively reviewed to identify patients that underwent fracture fixation using open reduction and internal fixation with subsequent radiographic evidence of implant failure. Area moment of inertia (AMI), plate working length, and bone screw density were determined. Implant failure was found in 39 fractures in 37 animals, representing 23% of fracture cases during the study period. Cases of implant failure were at increased risk of delayed union, malunion, or non-union (p < 0.0001). The most common cause of implant failure was loosening (54%); the second most common was plate failure that included low AMI locking plates (28%). Major complications found in 22/39 fractures (56%) were associated with delayed union (p < 0.01). Surgical revision was performed in 49% of implant failure cases. Complications were most frequently identified after treatment of humeral fractures (26%). We conclude mechanical failure of implants increases the risk for delayed or abnormal fracture healing and often requires revision surgery. Implant AMI should be considered during preoperative planning. Locking plates are associated with implant failure if plate bending stiffness is not sufficient, based on findings from this case series.
Storage of Extended Boar Semen at 5 °C Inhibits Growth of Multi-Drug Resistant Serratia marcescens and Klebsiella oxytoca while Maintaining High Sperm Quality
Authors: Maaßen Isabel Katharina , Luther Anne-Marie , Verspohl Jutta , Waberski Dagmar
Published: May 2023

Multi-drug antibiotic resistance of Serratia (S.) marcescens and Klebsiella (K.) oxytoca in boar semen is an emerging threat to pig reproduction and the environment. The aim of this study is to examine the efficiency of a novel hypothermic preservation method to inhibit the growth of these bacterial species in extended boar semen and to maintain the sperm quality. The semen samples extended in an antibiotic-free Androstar Premium extender were spiked with ~102 CFU/mL of S. marcescens or K.oxytoca. Storage at 5 °C for 144 h inhibited the growth of both bacterial species and maintained the sperm quality, whereas bacterial counts increased to more than 1010 CFU/mL in the 17 °C samples used as positive controls. This was accompanied by an increase in the sperm agglutination and the loss of motility and membrane integrity. We conclude that hypothermic storage is a promising tool to combat resistant bacteria in boar semen and to contribute to the One Health approach.
Effect of Thyme (Thymus vulgaris L.) Used in Diets with Extruded Flaxseed on the Antioxidant and Lipid Profile of the Blood and Tissues of Fattening Pigs
Authors: Klimiuk Kamila , Sembratowicz Iwona , Tutaj Krzysztof , Czech Anna
Published: May 2023

Thyme has strong antioxidant properties and, therefore, can reduce the intensity of oxidative processes taking place in the body. The study aimed to assess whether the addition of thyme to diets for fattening pigs containing extruded flaxseeds, a source of n-3 PUFAs, which are particularly susceptible to oxidation, would have a positive effect on redox status and lipid metabolism. The experiment was conducted using 120 weaners (WBP × Neckar crosses) of about 30 kg BW, which were kept until the end of fattening (about 110 kg BW) and divided into three groups of 40 pigs. The control group received a diet with 4% extruded flaxseed. In groups T1 and T3, 1% or 3% of thyme was added to the basal diet. The introduction of 3% thyme resulted in a decrease in the total cholesterol level in the blood and the loin muscle. Moreover, an increase in SOD and CAT activity and a decrease in FRAP and LOOH was noted. Following supplementation with 3% thyme, the n-3 PUFA content and n-3/n-6 ratio increased, while the SFA content was significantly reduced. The results of the studies indicate that thyme has a positive effect on the redox status and lipid profile of the blood and muscles.
Oxidative Stress and Neurodegeneration in Animal Models of Seizures and Epilepsy
Authors: Łukawski Krzysztof , Czuczwar Stanisław J.
Published: May 2023

Free radicals are generated in the brain, as well as in other organs, and their production is proportional to the brain activity. Due to its low antioxidant capacity, the brain is particularly sensitive to free radical damage, which may affect lipids, nucleic acids, and proteins. The available evidence clearly points to a role for oxidative stress in neuronal death and pathophysiology of epileptogenesis and epilepsy. The present review is devoted to the generation of free radicals in some animal models of seizures and epilepsy and the consequences of oxidative stress, such as DNA or mitochondrial damage leading to neurodegeneration. Additionally, antioxidant properties of antiepileptic (antiseizure) drugs and a possible use of antioxidant drugs or compounds in patients with epilepsy are reviewed. In numerous seizure models, the brain concentration of free radicals was significantly elevated. Some antiepileptic drugs may inhibit these effects; for example, valproate reduced the increase in brain malondialdehyde (a marker of lipid peroxidation) concentration induced by electroconvulsions. In the pentylenetetrazol model, valproate prevented the reduced glutathione concentration and an increase in brain lipid peroxidation products. The scarce clinical data indicate that some antioxidants (melatonin, selenium, vitamin E) may be recommended as adjuvants for patients with drug-resistant epilepsy.
Green Tea and Java Pepper Mixture Prevents Obesity by Increasing Energy Expenditure and Modulating Hepatic AMPK/MicroRNA-34a/370 Pathway in High-Fat Diet-Fed Rats
Authors: Kim Jibin , Han Dahye , Lee Mak-Soon , Lee Jumi , Kim In-Hwan , Kim Yangha
Published: May 2023

This study was performed to evaluate the anti-obesity effects of green tea and java pepper mixture (GJ) on energy expenditure and understand the regulatory mechanisms of AMP-activated protein kinase (AMPK), microRNA (miR)-34a, and miR-370 pathways in the liver. Sprague–Dawley rats were divided into four groups depending on the following diets given for 14 weeks: normal chow diet (NR), 45% high-fat diet (HF), HF + 0.1% GJ (GJL), and HF + 0.2% GJ (GJH). The results revealed that GJ supplementation reduced body weight and hepatic fat accumulation, improved serum lipids, and increased energy expenditure. In the GJ-supplemented groups, the mRNA levels of genes related to fatty acid syntheses, such as a cluster of differentiation 36 (CD36), sterol regulatory element binding protein-1c (SREBP-1c), fatty acid synthase (FAS), and stearoyl-CoA desaturase 1 (SCD1) were downregulated, and mRNA levels of peroxisome proliferator-activated receptor alpha (PPARα), carnitine/palmitoyl-transferase 1 (CPT1), and uncoupling protein 2 (UCP2), which participate in fatty acid oxidation, were upregulated in the liver. GJ increased the AMPK activity and decreased the miR-34a and miR-370 expression. Therefore, GJ prevented obesity by increasing energy expenditure and regulating hepatic fatty acid synthesis and oxidation, suggesting that GJ is partially regulated through AMPK, miR-34a, and miR-370 pathways in the liver.
Organic Medium Enclosed Trough Growing Technique Improves Abelmoschus esculentus (Okra) Growth, Yield and Some Nutritional Components
Authors: Mokgalabone Tyson T. , Mpai Semakaleng , Ndhlala Ashwell R.
Published: May 2023

Okra (Abelmoschus esculentus) is an important vegetable that has been indigenized in African countries where it is consumed as a relish. There is still, however, a lack of documented cultivation techniques for better yields. An organic medium-enclosed trough (OMET) system is a growing technique that has been developed to reduce water and nutrient seepage during plant production. The study objectives evaluated the effect of OMET on the growth, yield, and nutritional attributes of okra. A complete randomized block design was established to accommodate the two treatments: OMET and non-OMET, in a micro-plot under field conditions. The stem diameter and plant height were recorded weekly during plant growth, and a clear increasing trend in OMET over non-OMET was observed from week 4 of transplantation. The OMET growing technique significantly increased the stem diameter and plant height by 37 and 48%, respectively. When evaluating the yield attributes, a similar trend was observed, where the OMET system significantly increased the yield attributes of okra as follows: biomass by 50%, the number of branches by 50%, the number of pods per plant by 49%, fresh pod weight by 53%, and pod length by 51%, while there was no significant difference in pod diameter width. Non-essential amino acids compounds, including arginine, serine, glycine, aspartate acid, glutamic acid, alanine, and proline and essential amino acids, including histidine, threonine, methionine, lysine, tyrosine, leucine, phenylalanine, asparagine and glutamine, were highly maintained in OMET compared to non-OMET. OMET enhanced the upregulation of proteins, Ca, Mg, K, Mn, Na, P and Zn elemental nutrients in the disposal of less irrigation water than non-OMET. This growing technique could be recommended for small-scale and commercial farming to improve the okra production of nutrition.
Heat Transfer in Thermoelectric Generators for Waste Energy Recovery in Piston Engines
Authors: Fernández-Yáñez Pablo , Jarama Javier , Martos Francisco J. , Armas Octavio
Published: May 2023

This paper investigates the design of a thermoelectric generator for exhaust gases from internal combustion engines. Experimentally validated CFD methodology was employed. Different issues are studied, such as the influence of the replacement of the exhaust pipe for the TEG, the recirculation produced, and the influence of fins. The results show that an enlarged inlet cone reduces the recirculation and the pressure drop of the TEG, but more heat is lost across the cone walls, reducing the heat available for the thermoelectric modules. Internal straight fins aligned with the flow achieved a 3% increase in heat transfer, did not significantly increase the pressure drop in this type of device, and reduced the effects on pressure of the recirculation, lowering the overall pressure drop by 10%. An energy production of 175.9 W with 16.2 W of pressure drop power losses resulted in a net energy production of 160.7 W. A comparison with a flat-type thermoelectric generator under the same hot source conditions is also provided.
A Low Phase Noise Crystal Oscillator with a Fast Start-Up Bandgap Reference for WLAN Applications
Authors: Wu Peng , Li Peng , Chen Xi , Cheng Peng , Zhu Jian
Published: May 2023

This article presents the design and implementation of a 40 MHz crystal oscillator (XO) with low phase noise, based on the 55 nm CMOS process, for wireless transceiver systems, particularly those used in Wireless Local Area Network (WLAN). The proposed design employs a bandgap reference circuit that includes a start-up circuit and a low-voltage common-source common-gate current mirror, which ensures that the bandgap reference circuit is powered up effectively across all temperatures and process corners. A low-pass filter is also incorporated at the low dropout regulator (LDO) input to reduce the phase noise of the XO circuit. The experimental results demonstrate that the proposed design achieves a final phase noise of −164.36 dBc/Hz at 100 kHz offset frequency, with a power consumption of 0.444 mW. The test of start-up time is 0.718 ms and the compact chip area is 0.088 mm2. According to the simulation and test results, the final FOM value calculated in this paper is 209.93 dBc/Hz at 100 kHz offset.
Lower Inclination Orbit Concept for Direct-Communication-To-Satellite Internet-Of-Things Using Lean Satellite Standard in Near-Equatorial Regions
Authors: Haitaamar Zineddine , Sulaiman Abdulrahman , Bendoukha Sidi Ahmed , Rodrigues Diogo
Published: May 2023

This research proposes a low-inclined orbit concept and design for the Internet-of-Things (IoT) using lean satellite standards in near-equatorial regions. The study aims to evaluate the coverage of various inclination angles at various latitudes and inclination angles in order to determine the most suitable satellite design for providing IoT coverage in these regions. The main methods applied in the study included analyzing the coverage performance of different inclination angles, the link budget analysis using simulations and the definition of the mission criteria. The results of the study show that the overall coverage performance decreases with an increase in the inclination angle. Satellites with lower inclination angles have ground tracks that are more closely aligned with the equator, while satellites with higher inclination angles have ground tracks that are inclined further toward the poles. In addition, the results show that the fraction of orbits with coverage (expressed as a percentage) declines with increasing latitude. Based on these findings, a low-inclined orbit of 24° provides the best coverage for IoT in near-equatorial regions within ±20 and 26° latitude, with a peak coverage of 27% at 24° latitude and a minimum coverage of 10% in the region spanning from 0° to ±27° latitude. This design offers more coverage time and a shorter revisit time to the selected regions for communication missions.
The Ultrasound Signal Processing Based on High-Performance CORDIC Algorithm and Radial Artery Imaging Implementation
Authors: Zhang Chaohong , Geng Xingguang , Yao Fei , Liu Liyuan , Guo Ziyang , Zhang Yitao , Wang Yunfeng
Published: May 2023

The radial artery reflects the largest amount of physiological and pathological information about the human body. However, ultrasound signal processing involves a large number of complex functions, and traditional digital signal processing can hardly meet the requirements of real-time processing of ultrasound data. The research aims to improve computational accuracy and reduce the hardware complexity of ultrasound signal processing systems. Firstly, this paper proposes to apply the coordinate rotation digital computer (CORDIC) algorithm to the whole radial artery ultrasound signal processing, combines the signal processing characteristics of each sub-module, and designs the dynamic filtering module based on the radix-4 CORDIC algorithm, the quadrature demodulation module based on the partitioned-hybrid CORDIC algorithm, and the dynamic range transformation module based on the improved scale-free CORDIC algorithm. A digital radial artery ultrasound imaging system was then built to verify the accuracy of the three sub-modules. The simulation results show that the use of the high-performance CORDIC algorithm can improve the accuracy of data processing. This provides a new idea for the real-time processing of ultrasound signals. Finally, radial artery ultrasound data were collected from 20 volunteers using different probe scanning modes at three reference positions. The vessel diameter measurements were averaged to verify the reliability of the CORDIC algorithm for radial artery ultrasound imaging, which has practical application value for computer-aided clinical diagnosis.
Synergistic Antimicrobial Effect of Photodynamic Inactivation and SWEEPS in Combined Treatment against Enterococcus faecalis in a Root Canal Biofilm Model: An In Vitro Study
Authors: Afrasiabi Shima , Parker Steven , Chiniforush Nasim
Published: May 2023

Background: Persistent bacterial infections caused by biofilm-associated Enterococcus faecalis are a global public health concern. This study aims to compare the biofilm removal effects of methylene blue (MB) or hydrogen peroxide (HP) mediated photodynamic inactivation (PDI) with a shock wave enhanced emission photoacoustic streaming (SWEEPS) method laser irradiation enhanced bactericidal activity. Methods: A total of fifty extracted single-rooted human teeth were used. Each canal was then inoculated with a bacterial suspension of E. faecalis and left for ten days to induce biofilm formation. The antibacterial effects within treated root canals using MB or HP + diode laser or SWEEPS alone or in combination were assessed and compared with 5.25% sodium hypochlorite (NaOCl) as the positive control group. Data were analyzed using one-way ANOVA and Tukey’s post hoc test. Results: The MB + diode laser + SWEEPS and HP + diode laser + SWEEPS groups displayed significantly lower amounts of bacteria than either the MB + diode laser or SWEEPS and HP + diode laser or SWEEPS groups (p < 0.001). There was no statistically significant difference detected between the diode laser and SWEEPS groups (p = 0.982). Conclusions: SWEEPS can enhance the photosensitizer distribution in the root canal, leading to effective biofilm removal. This technique could thus help promote the future development of endodontic treatments.
Driving Behavior Risk Measurement and Cluster Analysis Driven by Vehicle Trajectory Data
Authors: Chen Shuyi , Cheng Kun , Yang Junheng , Zang Xiaodong , Luo Qiang , Li Jiahao
Published: May 2023

The correct identification and timely pre-warning of driving behavior risks can remind drivers to correct their unsafe driving behaviors effectively. First of all, four risk evaluation indicators of driving behavior were defined based on lateral and longitudinal driving characteristics: the lateral stability indicator, the longitudinal stability indicator, the car-following risk indicator, and the lane-changing risk indicator. The Pearson correlation coefficient method was used to analyze the correlation of the four indicators, and the conclusion showed that the four indicators were very weakly correlated or presented an irrelevant correlation. Thus, the four indicators can describe different driving behavior risks. Secondly, the criteria importance through intercriteria correlation (CRITIC) method was used to determine the weight of each indicator, and a comprehensive measurement model of driving behavior risk was established. To test the model, this study preprocessed the trajectory data of small vehicles in Lanes 1–5 of the I-80 Expressway from the NGSIM dataset, collected statistical analysis results of vehicle speed and acceleration, and obtained the parameters data required for risk assessment. Then, based on the obtained trajectory data, the variation laws and the thresholds of the four indicators were determined by using the interquartile difference method. Finally, by using the K-means clustering algorithm, the risk types of driving behavior were divided into four categories, namely, dangerous, aggressive, safe, and conservative. The dangerous, aggressive, safe, and conservative driving behaviors accounted for 5.40%, 23.30%, 43.22%, and 28.08% of the total samples, respectively. The expert’s assessment results of the driving behavior risk aligned with the results obtained from the model measurements. This indicated that the driving behavior risk measurement model here described can evaluate a driver’s risk status in real time, provide safety tips for the driver, and offer theoretical support for driving safety warning systems.
How Does the Metaverse Shape Education? A Systematic Literature Review
Authors: De Felice Fabio , Petrillo Antonella , Iovine Gianfranco , Salzano Cinzia , Baffo Ilaria
Published: May 2023

In recent years, the potential of the metaverse as a tool to connect people has been increasingly recognized. The opportunities offered by the metaverse seem enormous in many sectors and fields of application. However, on the academic side, although a growing number of papers have been found to address the adoption of the metaverse, a clear overview of the solutions in place and their impact on education has been largely neglected so far. In the context of increasing challenges found with the metaverse, this review aims to investigate the role of the metaverse as tool in education. This contribution aims to address this research gap by offering a state-of-the-art analysis of the role the metaverse plays in education in relation to the future of work. The study is based on a systematic review approach performed by means of the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol. The findings of this research help us to better understand the benefits, potential and risks of the metaverse as a tool for immersive and innovative learning experiences. Implications are discussed and streams for future investigation are identified.
A Comparison of Deep Learning Algorithms for Anomaly Detection in Discrete Mechanical Systems
Authors: Bono Francesco Morgan , Radicioni Luca , Cinquemani Simone , Bombaci Gianluca
Published: May 2023

The application of intelligent systems for structural health monitoring is investigated. A change in the nominal configuration can be related to a structural defect that has to be monitored before it reaches a critical condition. Evidently, the ability to automatically detect changes in a structure is a very attractive feature. When there is no prior knowledge on the system, deep learning models could effectively detect a change and enhance the capability of determining the damage location. However, the acquisition of data related to damaged structures is not always practical. In this paper, two deep learning approaches, a physics-informed autoencoder and a simple data-driven autoencoder, are applied to a test rig consisting of a small four-storey building model. Modifications to the system are simulated by changing the stiffness of the springs. Both the machine learning algorithms outperform the traditional approach based on an experimental modal analysis. Moreover, the increased potential of the physics-informed neural networks to detect and locate damage is confirmed.
Modification of Magnetic Graphene Oxide by an Earth-Friendly Deep Eutectic Solvent to Preconcentrate Ultratrac Amounts of Pb(II) and Cd(II) in Legume Samples
Authors: Hejazikhah Melika , Jamshidi Parastoo
Published: May 2023

A novel magnetic solid-phase extraction adsorbent using deep eutectic solvent-coated magnetic graphene oxide (EgLiCl-mGO) was proposed for simultaneous preconcentration of Pb(II) and Cd(II). The nanocomposite was characterized by Fourier Transform Infrared Spectroscopy, X-ray diffractometry, and alternative gradient force magnetometer. Parameters that could affect the preconcentration recoveries of the target ions were investigated via the one-factor-at-a-time method. The optimum conditions are pH of 4 ± 0.5, EgLiCl-mGO amount of 1.0 × 10−2 g, adsorption time of 5 min, eluent of HNO3 (1 mL, 2 mol L−1), and desorption time of one minute. The swelling property of the adsorbent versus pH was studied. The linearity of the dynamic range for Pb(II) (5.0 × 10−6–4.0 × 10−4 g L−1) and Cd(II) (5.0 × 10−6–15 × 10−5 g L−1) was recorded. The limits of detection were Pb(II): 1.2 × 10−6 g L−1 and Cd(II): 47 × 10−8 g L−1. The preconcentration factor of 50 was calculated for both ions and the relative standard deviations were 1.27% for Pb(II) and 0.94% for Cd(II). Reusability, effect of interference ions, selectivity, isotherm adsorption, kinetic adsorption, and thermodynamic adsorption were established. The adsorbent was successful at preconcentrating the ions in legumes.
A Contrastive Learning Framework for Detecting Anomalous Behavior in Commodity Trading Platforms
Authors: Li Yihao , Yi Ping
Published: May 2023

For bulk commodity, stock, and e-commerce platforms, it is necessary to detect anomalous behavior for the security of users and platforms. Anomaly-detection methods currently used on these platforms train a model for each user since different users have different habits. However, the model cannot be trained adequately due to insufficient individual user behavior data. In this study, to utilize information between users and avoid underfitting, we propose a contrastive learning framework to train a complete global model (GM) for anomaly detection in a trading platform. By confusing the data between different users to generate negative samples, the model can learn the differences between users by contrastive learning. To reduce the need for individual user behavior data, this framework uses a GM instead of a model for each user to learn similarities between users. Experiments on four datasets show that models trained using our framework achieve better area-under-the-curve (AUC) scores than do the original models, proving that contrastive learning and GM are useful for anomaly detection in trading platforms.
Re-Enacting Pasts, Presents, and Futures in the Middle East in Yochai Avrahami and Doron Tavori’s “Land of the Gilead”
Authors: Yerushalmy Merav
Published: May 2023

This article focuses on a performance titled In the Land of the Gilead, performed in 2012 by Doron Tavori and Yochai Avrahami at the Centre for Digital Art in Israel. The work was performed as a part of the exhibition Le’an (Where To?). Its title is derived from a plan suggested by Laurence Oliphant (a British colonialist bureaucrat, author, and Member of Parliament) in 1881 to settle Jews in the Gilead region east of the Jordan River. The article examines the ways in which Tavori and Avrahami re-enact Oliphant’s plan, which was never realised, as well as numerous other historical moments of Oliphant’s colonialist endeavours and those of his contemporaries, tying them to the present-day situation in the Middle East and elsewhere. The article also examines the wider contexts and curatorial strategies of the exhibition Le’an, which focused on alternative Zionist histories that challenged Zionism’s exclusive focus on the land of Israel. The article suggests that by juxtaposing nuanced and complex re-enactments of numerous and conflicting histories, the work prompts audiences to reconsider their political and national understanding of such colonial and Zionist histories, allowing these complex pasts (which are often celebrated or silenced) to be articulated as integral to contemporary national narratives.
A New Algorithm for Estimating a Noiseless, Evenly Sampled, Heart Rate Modulating Signal
Authors: Staderini Enrico M. , Kambampati Harish , Ramakrishnaiah Amith K. , Mugnaini Stefano , Magrini Andrea , Gentili Sandro
Published: May 2023

Heart rate variability (HRV) is commonly intended as the variation in the heart rate (HR), and it is evaluated in the time and frequency domains with various well-known methods. In the present paper, the heart rate is considered as a time domain signal, at first as an abstract model in which the HR is the instantaneous frequency of an otherwise periodic signal, such as with an electrocardiogram (ECG). In this model, the ECG is assumed to be a frequency modulated signal, or carrier signal, where HRV or HRV(t) is the time-domain signal which is frequency modulating the carrier ECG signal around its average frequency. Hence, an algorithm able to frequency demodulate the ECG signal to extract the signal HRV(t) is described, with possibly enough time resolution to analyse fast time-domain variations in the instantaneous HR. After exhaustive testing of the method on simulated frequency modulated sinusoidal signals, the new procedure is eventually applied on actual ECG tracings for preliminary nonclinical testing. The purpose of the work is to use this algorithm as a tool and a more reliable method for the assessment of heart rate before any further clinical or physiological analysis.
Efficient Lung Ultrasound Classification
Authors: Bruno Antonio , Ignesti Giacomo , Salvetti Ovidio , Moroni Davide , Martinelli Massimo
Published: May 2023

A machine learning method for classifying lung ultrasound is proposed here to provide a point of care tool for supporting a safe, fast, and accurate diagnosis that can also be useful during a pandemic such as SARS-CoV-2. Given the advantages (e.g., safety, speed, portability, cost-effectiveness) provided by the ultrasound technology over other examinations (e.g., X-ray, computer tomography, magnetic resonance imaging), our method was validated on the largest public lung ultrasound dataset. Focusing on both accuracy and efficiency, our solution is based on an efficient adaptive ensembling of two EfficientNet-b0 models reaching 100% of accuracy, which, to our knowledge, outperforms the previous state-of-the-art models by at least 5%. The complexity is restrained by adopting specific design choices: ensembling with an adaptive combination layer, ensembling performed on the deep features, and minimal ensemble using two weak models only. In this way, the number of parameters has the same order of magnitude of a single EfficientNet-b0 and the computational cost (FLOPs) is reduced at least by 20%, doubled by parallelization. Moreover, a visual analysis of the saliency maps on sample images of all the classes of the dataset reveals where an inaccurate weak model focuses its attention versus an accurate one.