bluuebunny/crossref_metadata_2025 huggingface dataset:
Potential of Underutilized Grain Crops in the Western Mountains of Nepal for Food and Nutrient Security
Authors: Regmi Bijay , Kunwar Samir , Acharya Tri Dev , Gyawali Purushottam
Published: July 2023

Malnutrition, hunger, and rural poverty in Nepal are prevalent issues that have been exacerbated by the negative impacts of climate change on crop production. To create a more sustainable and resilient food system, it is crucial to explore alternative options beyond the small number of input-intensive crops that the country currently relies on. In this study, we conducted a comprehensive investigation of six underutilized food crops—amaranth, buckwheat, finger millet, foxtail millet, naked barley, and proso millet—in four mountainous districts of the Karnali province, Nepal. Using several approaches that included a literature review, key informant surveys, focus group discussions, and direct observations, we explored the production and utilization aspects of these crops, as well as their potential for improving nutrition and food security. Our findings indicate that these underutilized crops continue to be a vital element of the diets of people residing in Karnali and play an important role in their livelihoods. This study also highlights the diversity and potential of these underutilized crop landraces, and their significance in addressing nutrition and food insecurity, as well as in improving livelihoods in regions with marginal lands and inadequate food supply. Thus, promoting the cultivation and consumption of underutilized crops can create a more sustainable and diverse food system that is resilient to climate change. However, further investigation is needed to fully understand the socioeconomic importance and other potential benefits of these crops.
Reproductive Output Reveals the Maternal Effects on Offspring Size-Number Trade-Off in Cultured Asian Yellow Pond Turtle (Mauremys mutica)
Authors: Wang Yakun , Hong Xiaoyou , Liu Xiaoli , Li Wei , Chen Chen , Zhu Junxian , Wei Chengqing , Zhu Xinping , Yu Lingyun
Published: July 2023

Offspring size-number trade-off is a critical component of life-history theory and is important for further understanding the reproductive strategies of animals. The relationship between this trade-off and maternal size has been explored in several turtle species, except for the Asian yellow pond turtle, Mauremys mutica. To investigate how the maternal condition affects offspring size and number, we explored the relationships among the maternal body size and the number and size of cultured M. mutica hatchlings using a 4-year dataset. Our results showed that different females not only produced different sizes of offspring but also produced different numbers of offspring. No trade-off in egg size number was detected. According to regression analysis, we did not find that the maternal body size significantly influenced the offspring mass; however, we detected that the offspring size was significantly correlated with the clutch size and maternal age. The mean body mass of offspring increased with maternal age, and the clutch size varied significantly over four years, which was correlated with offspring size, maternal body size and age. However, the number of offspring per female increased with the maternal plastron length rather than age. Our results were inconsistent with the optimal offspring size theory in that females did not increase their offspring size but rather increased the offspring number to increase their fitness, which will also provide a basis for the efficient cultivation management of turtles.
Selection of Indicator Bird Species as a Baseline for Knowledge Assessment in Biodiversity Survey Studies
Authors: Härtel Talia , Vanhöfen Janina , Randler Christoph
Published: July 2023

The loss of Earth’s biodiversity is accompanied by a loss of public knowledge about species. Many scientists are convinced that knowledge about species is an important prerequisite to interest and investment in species conservation. In the past, knowledge about species has mostly been assessed using birds, but there is no consensus on which birds could serve as a baseline for knowledge about species in the general public. The aim of this study is to provide a list of the ‘golden 50′ bird species in Germany that can be used by educational institutions, as well as studies about species knowledge to make them more comparable. The list can also serve as a basis for the selection of so-called flagship species, which are used for the protection of habitats and other species due to their high likeability. To achieve this, three consecutive steps were conducted: an analysis of bird-related databases to determine which species might be common and known and two expert panel studies. The data analysis included several factors: species characteristics, Citizen Science data, public value and importance, and scientific studies. In both the first and second rounds, experts were asked for their opinion on which species should be known by the general public in Germany. The first expert panel, which consisted of only a small group of experts (n = 6), was mainly used to reduce the number of species for the second panel. In the second expert panel, 197 ornithologically qualified experts from all over Germany were asked for their assessment. The correlations between the expert assessments and the different variables were all significant (except for the species trait “colourfulness”), which validates the selection process used here and consequently the species list that has been compiled. The selection process can also be applied to other biogeographical regions or taxa.
Determining Antioxidant Activity of Cannabis Leaves Extracts from Different Varieties—Unveiling Nature’s Treasure Trove
Authors: Stasiłowicz-Krzemień Anna , Sip Szymon , Szulc Piotr , Cielecka-Piontek Judyta
Published: July 2023

Cannabis leaves contain a diverse range of antioxidants, including cannabinoids, flavonoids, and phenolic compounds, which offer significant health benefits. Utilising cannabis leaves as a source of antioxidants presents a cost-effective approach because they are typically discarded during the cultivation of cannabis plants for their seeds or fibres. Therefore, this presented study aimed to assess the antioxidant activity of the leaves of selected hemp cultivars, such as Białobrzeska, Tygra, and Henola, based on the results obtained with the 2,2′-Azino-bis(3-ethylbenzthiazoline-6-sulfonic acid, ferric reducing antioxidant power, cupric reducing antioxidant capacity, and 2,2-Diphenyl-1-picrylhydrazyl assays. The cannabinoid profile was analysed for the antioxidant activity to the contents of cannabidiol (CBD), cannabigerol (CBG), Δ9-tetrahydrocannabinol (Δ9-THC), and cannabichromene (CBC), determined based on chromatographic assays. The following variables were tested: the impact of various extractants (methanol, ethanol, and isopropanol), and their mixtures (50:50, v/v, as well as extraction methods (maceration and ultra-sound-assisted extraction) significant in obtaining hemp extracts characterised by different cannabinoid profiles. The results revealed that the selection of extractant and extraction conditions significantly influenced the active compounds’ extraction efficiency and antioxidant activity. Among the tested conditions, ultrasound-assisted extraction using methanol yielded the highest cannabinoid profile: CBD = 184.51 ± 5.61; CBG = 6.10 ± 0.21; Δ9-THC = 0.51 ± 0.01; and CBC = 0.71 ± 0.01 μg/g antioxidant potential in Białobrzeska leaf extracts.
High-Performance Computing and Artificial Intelligence for Geosciences
Authors: Wang Yuzhu , Jiang Jinrong , Wang Yangang
Published: July 2023

Geoscience, as an interdisciplinary field, is dedicated to revealing the operational mechanisms and evolutionary patterns of the Earth system [...]
Study on Low Temperature Drying Characteristics of Chicken Manure in a Humid Environment
Authors: Li Xuanyang , Kang Xiangtao , Xi Lei , Dou Qi , Shi Zhifang
Published: July 2023

Drying chicken manure with exhaust air from a chicken house is a new manure management method developed in recent years. The majority of the heat for this drying method comes from the waste heat of ventilation in a poultry house or ambient air, so the drying process is carried out at a low temperature. When met with continuous rain or when the wet curtain in the chicken house is turned on, the relative humidity of the exhaust air from the chicken house will rise to high levels, and the drying process will be under the condition of high relative humidity. In order to explore the low-temperature drying characteristics of chicken manure in a humid environment, drying experiments were carried out in an experimental cross-flow drying system. The experiment mainly studied the effect of process parameters such as drying temperature, air velocity, and manure layer thickness on the low-temperature drying characteristics of chicken manure in a humid environment. The results showed that the low-temperature drying process of chicken manure in a humid environment only had a falling rate period, with no accelerated or constant rate period. Additionally, five common thin-layer drying models (Lewis model, Page model, Henderson and Pabis model, Wang and Singh model, and Exponential model) were applied to simulate the performance of the manure drying process. The exponential model was considered to be more suitable for describing the low temperature drying process in a humid environment, and the effective diffusivity changed between 6.37 × 10−7 and 2.17 × 10−6 m2/h.
An End-to-End Online Traffic-Risk Incident Prediction in First-Person Dash Camera Videos
Authors: Pradana Hilmil
Published: July 2023

Predicting traffic risk incidents in first-person helps to ensure a safety reaction can occur before the incident happens for a wide range of driving scenarios and conditions. One challenge to building advanced driver assistance systems is to create an early warning system for the driver to react safely and accurately while perceiving the diversity of traffic-risk predictions in real-world applications. In this paper, we aim to bridge the gap by investigating two key research questions regarding the driver’s current status of driving through online videos and the types of other moving objects that lead to dangerous situations. To address these problems, we proposed an end-to-end two-stage architecture: in the first stage, unsupervised learning is applied to collect all suspicious events on actual driving; in the second stage, supervised learning is used to classify all suspicious event results from the first stage to a common event type. To enrich the classification type, the metadata from the result of the first stage is sent to the second stage to handle the data limitation while training our classification model. Through the online situation, our method runs 9.60 fps on average with 1.44 fps on standard deviation. Our quantitative evaluation shows that our method reaches 81.87% and 73.43% for the average F1-score on labeled data of CST-S3D and real driving datasets, respectively. Furthermore, the proposed method has the potential to assist distribution companies in evaluating the driving performance of their driver by automatically monitoring near-miss events and analyzing driving patterns for training programs to reduce future accidents.
GDF8 Contributes to Liver Fibrogenesis and Concomitant Skeletal Muscle Wasting
Authors: Culver Alexander , Hamang Matthew , Wang Yan , Jiang Huaizhou , Yanum Jennifer , White Emily , Gawrieh Samer , Vuppalanchi Raj K. , Chalasani Naga P. , Dai Guoli , Yaden Benjamin C.
Published: July 2023

Patients with end-stage liver disease exhibit progressive skeletal muscle atrophy, highlighting a negative crosstalk between the injured liver and muscle. Our study was to determine whether TGFβ ligands function as the mediators. Acute or chronic liver injury was induced by a single or repeated administration of carbon tetrachloride. Skeletal muscle injury and repair was induced by intramuscular injection of cardiotoxin. Activin type IIB receptor (ActRIIB) ligands and growth differentiation factor 8 (Gdf8) were neutralized with ActRIIB-Fc fusion protein and a Gdf8-specific antibody, respectively. We found that acute hepatic injury induced rapid and adverse responses in muscle, which was blunted by neutralizing ActRIIB ligands. Chronic liver injury caused muscle atrophy and repair defects, which were prevented or reversed by inactivating ActRIIB ligands. Furthermore, we found that pericentral hepatocytes produce excessive Gdf8 in injured mouse liver and cirrhotic human liver. Specific inactivation of Gdf8 prevented liver injury-induced muscle atrophy, similar to neutralization of ActRIIB ligands. Inhibition of Gdf8 also reversed muscle atrophy in a treatment paradigm following chronic liver injury. Direct injection of exogenous Gdf8 protein into muscle along with acute focal muscle injury recapitulated similar dysregulated muscle regeneration as that observed with liver injury. The results indicate that injured liver negatively communicate with the muscle largely via Gdf8. Unexpectedly, inactivation of Gdf8 simultaneously ameliorated liver fibrosis in mice following chronic liver injury. In vitro, Gdf8 induced human hepatic stellate (LX-2) cells to form a septa-like structure and stimulated expression of profibrotic factors. Our findings identified Gdf8 as a novel hepatomyokine contributing to injured liver–muscle negative crosstalk along with liver injury progression.
The Role of Dopamine in Repurposing Drugs for Oncology
Authors: Moura Catarina , Vale Nuno
Published: July 2023

Dopamine is a neurotransmitter that plays an important role within the brain by regulating a wide variety of cognitive and emotional processes. In cancer, its role is distinct and uncertain, but it is characterized by the interaction with its receptors that may be in the tumor cells; we have examples of different types of cancer with this characteristic, of which breast and colon cancer stand out. It is believed that dopamine and some of its receptors also influence other cellular processes such as cell proliferation, survival, migration, and invasion. The potential of these receptors has allowed the exploration of existing drugs, originally developed for non-oncological purposes, for the possible treatment of cancer. However, regarding the repurposing of drugs for cancer treatment, the role of dopamine is not so straightforward and needs to be clarified. For this reason, this review intends to present concepts associated with twelve drugs reused for oncology based on dopamine and its receptors. Some of them can behave as antagonists and inhibit tumor cell growth leading to cell death. Attention to this group of drugs may enhance the study of other pharmacological conditions such as signaling pathways related to cell proliferation and migration. Modulation of these pathways using drugs originally developed for other conditions may offer potential therapeutic opportunities in oncology. It is important to note that while the repurposing of oncology drugs based on dopamine signaling is promising, further studies are still needed to fully understand the mechanisms involved and determine the clinical efficacy and safety of these approaches.
A Dusty Road for Astronauts
Authors: Miranda Silvana , Marchal Shannon , Cumps Lina , Dierckx Jenne , Krüger Marcus , Grimm Daniela , Baatout Sarah , Tabury Kevin , Baselet Bjorn
Published: July 2023

The lunar dust problem was first formulated in 1969 with NASA’s first successful mission to land a human being on the surface of the Moon. Subsequent Apollo missions failed to keep the dust at bay, so exposure to the dust was unavoidable. In 1972, Harrison Schmitt suffered a brief sneezing attack, red eyes, an itchy throat, and congested sinuses in response to lunar dust. Some additional Apollo astronauts also reported allergy-like symptoms after tracking dust into the lunar module. Immediately following the Apollo missions, research into the toxic effects of lunar dust on the respiratory system gained a lot of interest. Moreover, researchers believed other organ systems might be at risk, including the skin and cornea. Secondary effects could translocate to the cardiovascular system, the immune system, and the brain. With current intentions to return humans to the moon and establish a semi-permanent presence on or near the moon’s surface, integrated, end-to-end dust mitigation strategies are needed to enable sustainable lunar presence and architecture. The characteristics and formation of Martian dust are different from lunar dust, but advances in the research of lunar dust toxicity, mitigation, and protection strategies can prove strategic for future operations on Mars.
Diabetic Neuropathic Pain and Serotonin: What Is New in the Last 15 Years?
Authors: Mokhtar Nazarine , Doly Stephane , Courteix Christine
Published: July 2023

The neurotransmitter serotonin (5-hydroxytryptamine, 5-HT) is involved in numerous physiological functions and plays a key role in pain modulation including neuropathic pain. Diabetic neuropathy is a common complication of diabetes mellitus often accompanied by chronic neuropathic pain. Animal models of diabetes offer relevant tools for studying the pathophysiological mechanisms and pharmacological sensitivity of diabetic neuropathic pain and for identifying new therapeutic targets. In this review, we report data from preclinical work published over the last 15 years on the analgesic activity of drugs acting on the serotonergic system, such as serotonin and noradrenaline reuptake inhibitor (SNRI) antidepressants, and on the involvement of certain serotonin receptors-in particular 5-HT1A, 5-HT2A/2c and 5-HT6 receptors-in rodent models of painful diabetic neuropathy.
Biomimetic Flexible Sensors and Their Applications in Human Health Detection
Authors: Yu Huiwen , Li Hao , Sun Xidi , Pan Lijia
Published: July 2023

Bionic flexible sensors are a new type of biosensor with high sensitivity, selectivity, stability, and reliability to achieve detection in complex natural and physiological environments. They provide efficient, energy-saving and convenient applications in medical monitoring and diagnosis, environmental monitoring, and detection and identification. Combining sensor devices with flexible substrates to imitate flexible structures in living organisms, thus enabling the detection of various physiological signals, has become a hot topic of interest. In the field of human health detection, the application of bionic flexible sensors is flourishing and will evolve into patient-centric diagnosis and treatment in the future of healthcare. In this review, we provide an up-to-date overview of bionic flexible devices for human health detection applications and a comprehensive summary of the research progress and potential of flexible sensors. First, we evaluate the working mechanisms of different classes of bionic flexible sensors, describing the selection and fabrication of bionic flexible materials and their excellent electrochemical properties; then, we introduce some interesting applications for monitoring physical, electrophysiological, chemical, and biological signals according to more segmented health fields (e.g., medical diagnosis, rehabilitation assistance, and sports monitoring). We conclude with a summary of the advantages of current results and the challenges and possible future developments.
Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective
Authors: Mir Imran , Gul Faiza , Mir Suleman , Abualigah Laith , Zitar Raed Abu , Hussien Abdelazim G. , Awwad Emad Mahrous , Sharaf Mohamed
Published: July 2023

This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space Exploration. The recommended approach combines a parameterized Aquila Optimizer, a bio-inspired technology, with deterministic Multi-Agent Exploration. Stochastic factors are integrated into the Aquila Optimizer to enhance the algorithm’s efficiency. The architecture, called the Multi-Agent Exploration–Parameterized Aquila Optimizer (MAE-PAO), starts by using deterministic MAE to assess the cost and utility values of nearby cells encircling the agents. A parameterized Aquila Optimizer is then used to further increase the exploration pace. The effectiveness of the proposed MAE-PAO methodology is verified through extended simulations in various environmental conditions. The algorithm viability is further evaluated by comparing the results with those of the contemporary CME-Aquila Optimizer (CME-AO) and the Whale Optimizer. The comparison adequately considers various performance parameters, such as the percentage of the map explored, the number of unsuccessful runs, and the time needed to explore the map. The comparisons are performed on numerous maps simulating different scenarios. A detailed statistical analysis is performed to check the efficacy of the algorithm. We conclude that the proposed algorithm’s average rate of exploration does not deviate much compared to contemporary algorithms. The same idea is checked for exploration time. Thus, we conclude that the results obtained for the proposed MAE-PAO algorithm provide significant advantages in terms of enhanced map exploration with lower execution times and nearly no failed runs.
Correction: Chen et al. Upconversion Fluorescence Nanoprobe-Based FRET for the Sensitive Determination of Shigella. Biosensors 2022, 12, 795
Authors: Chen Min , Yan Zhongyu , Han Lu , Zhou Dandan , Wang Yan , Pan Leiqing , Tu Kang
Published: July 2023

In the original publication, there is a mistake in Figure 1: A duplication error between 1B and 1C, which occurred due to the similarity of the images of the three nanoparticles [...]
COVID-19 Survivors Are Still in Need of Neuropsychiatric Support Two Years after Infection
Authors: Colizzi Marco , Peghin Maddalena , De Martino Maria , Bontempo Giulia , Chiappinotto Stefania , Fonda Federico , Isola Miriam , Tascini Carlo , Balestrieri Matteo , Palese Alvisa
Published: July 2023

COVID-19 survivors have been reported to be at risk of long-term neuropsychiatric sequalae; however, prospective evidence in this regard is lacking. We prospectively assessed the occurrence of mental-health-domain-related symptoms over a 24-month period following COVID-19 onset in a cohort of 230 patients. Of them, 36.1% were still presenting with at least one symptom 24 months later. Across the study period, a significant reduction in overall symptoms from the onset was observed (p < 0.001); however, symptom prevalence was unchanged between the 12- and 24-month follow-ups across most symptomatic domains. At the 24-month follow-up, mental-health-domain-related symptoms only were higher than at the onset and were the most frequently reported symptoms. Dyspnea at the onset predicted both symptoms of psychiatric disorders (OR = 3.26, 95% CI = 1.22–8.70, and p = 0.019) and a lack of concentration and focus (OR = 3.17, 95% CI = 1.40–7.16, and p = 0.005) 24 months post-infection, with the number of comorbidities at the onset also predicting the occurrence of a lack of concentration and focus (OR = 1.52, 95% CI = 1.12–2.08, and p = 0.008). The findings of this study may have important public health implications, as they underlie the fact that COVID-19 survivors are still in need of neuropsychiatric support two years after infection.
Parental Stress and Chinese American Preschoolers’ Adjustment: The Mediating Role of Parenting
Authors: Wang Suqing , Cheah Charissa S. L. , Zong Xiaoli , Ren Huiguang
Published: July 2023

Family contexts, such as parental stress and parenting practices, play critical roles in preschoolers’ adjustment. However, these processes have been understudied in Chinese American families. The present study examined the associations between Chinese American mothers’ experiences of two types of stress (i.e., general/contextual stress and parenting stress) and their preschoolers’ socio-emotional and behavioral adjustment problems; in addition, the mediating roles of maternal psychologically controlling parenting and maternal warmth in these associations were assessed. Participants included 207 first-generation Chinese American mothers (Mage = 37.78 years, SDage = 4.36) and their 3- to 6-year-old children (Mage = 4.50 years, SDage = 0.90; 52% boys). Mothers reported on their levels of stress, psychologically controlling parenting, and warmth practices; teachers reported on child adjustment in the school setting. The results revealed that higher levels of general/contextual stress and parenting stress were each uniquely associated with more maternal psychologically controlling parenting practices, which in turn was associated with fewer socio-emotional and behavioral adjustment problems in children. Our findings can inform parenting intervention programs designed to improve Chinese American preschoolers’ adjustment.
GMDS Intragenic Deletions Associate with Congenital Heart Disease including Ebstein Anomaly
Authors: Lo-A-Njoe Shirley , Verberne Eline , van der Veken Lars , Arends Eric , van Tintelen J. , Postma Alex , van Haelst Mieke
Published: July 2023

Ebstein anomaly is a rare heterogeneous congenital heart defect (CHD) with a largely unknown etiology. We present a 6-year-old girl with Ebstein anomaly, atrial septum defect, hypoplastic right ventricle, and persistent left superior vena cava who has a de novo intragenic ~403 kb deletion of the GDP-mannose 4,6-dehydratase (GMDS) gene. GMDS is located on chromosome 6p25.3 and encodes the rate limiting enzyme in GDP-fucose synthesis, which is used to fucosylate many proteins, including Notch1, which plays a critical role during mammalian cardiac development. The GMDS locus has sporadically been associated with Ebstein anomaly (large deletion) and tetralogy of Fallot (small deletion). Given its function and the association with CHD, we hypothesized that loss-of-function of, or alterations in, GMDS could play a role in the development of Ebstein anomaly. We collected a further 134 cases with Ebstein anomaly and screened them for genomic aberrations of the GMDS locus. No additional GMDS genomic aberrations were identified. In conclusion, we describe a de novo intragenic GMDS deletion associated with Ebstein anomaly. Together with previous reports, this second case suggests that GMDS deletions could be a rare cause for congenital heart disease, in particular Ebstein anomaly.
A YAP/TAZ–ARHGAP29–RhoA Signaling Axis Regulates Podocyte Protrusions and Integrin Adhesions
Authors: Rogg Manuel , Maier Jasmin I. , Helmstädter Martin , Sammarco Alena , Kliewe Felix , Kretz Oliver , Weißer Lisa , Van Wymersch Clara , Findeisen Karla , Koessinger Anna L. , Tsoy Olga , Baumbach Jan , Grabbert Markus , Werner Martin , Huber Tobias B. , Endlich Nicole , Schilling Oliver , Schell Christoph
Published: July 2023

Glomerular disease due to podocyte malfunction is a major factor in the pathogenesis of chronic kidney disease. Identification of podocyte-specific signaling pathways is therefore a prerequisite to characterizing relevant disease pathways and developing novel treatment approaches. Here, we employed loss of function studies for EPB41L5 (Yurt) as a central podocyte gene to generate a cell type-specific disease model. Loss of Yurt in fly nephrocytes caused protein uptake and slit diaphragm defects. Transcriptomic and proteomic analysis of human EPB41L5 knockout podocytes demonstrated impaired mechanotransduction via the YAP/TAZ signaling pathway. Further analysis of specific inhibition of the YAP/TAZ-TEAD transcription factor complex by TEADi led to the identification of ARGHAP29 as an EPB41L5 and YAP/TAZ-dependently expressed podocyte RhoGAP. Knockdown of ARHGAP29 caused increased RhoA activation, defective lamellipodia formation, and increased maturation of integrin adhesion complexes, explaining similar phenotypes caused by loss of EPB41L5 and TEADi expression in podocytes. Detection of increased levels of ARHGAP29 in early disease stages of human glomerular disease implies a novel negative feedback loop for mechanotransductive RhoA—YAP/TAZ signaling in podocyte physiology and disease.
Mitochondrial Control for Healthy and Autoimmune T Cells
Authors: Jia Li , Zhang Lei , Liu Mengdi , Ji Huiyan , Wen Zhenke , Wang Chunhong
Published: July 2023

T cells are critical players in adaptive immunity, driving the tissue injury and organ damage of patients with autoimmune diseases. Consequently, investigations on T cell activation, differentiation, and function are valuable in uncovering the disease pathogenesis, thus exploring promising therapeutics for autoimmune diseases. In recent decades, accumulating studies have pinpointed immunometabolism as the fundamental determinant in controlling T cell fate. Specifically, mitochondria, as a hub of intracellular metabolism, connect glucose, lipid, and amino acid metabolic pathways. Herein, we summarize metabolic adaptations of mitochondrial oxidative phosphorylation and the relevant glucose, lipid, and amino acid metabolism during T cell activation, differentiation, and function. Further, we focused on current updates of the molecular bases for metabolic reprogramming in autoimmune T cells and advances in exploring metabolic-targeted therapeutics against autoimmune diseases. This might facilitate the in-depth understanding of autoimmune pathogeneses and the clinical management of autoimmune diseases.
Magnesium Oxide and Magnesium Fluoride Nanopowders Produced in a Diffuse Nanosecond Discharge in Argon
Authors: Beloplotov Dmitry , Savkin Konstantin , Semin Viktor , Sorokin Dmitry
Published: July 2023

The synthesis of the nanopowders of magnesium oxide and magnesium fluoride during the operation of a repetitive diffuse nanosecond discharge in argon at various pressures was performed. Nanosecond voltage pulses with an amplitude of −70 kV, a rise time of 0.7 ns, and a duration of 0.7 ns were applied across a point-to-plane gap of 2 mm in length. The pulse repetition rate was 60 Hz. The high-voltage pointed electrode was made of magnesium. A diffuse discharge cold plasma was formed under these conditions. Nanoparticles were produced as a result of an explosion of microprotrusions on the surface of the magnesium electrode duo to a high current density. Lines of magnesium atoms and ions were observed in the emission optical spectrum. Under the actions of the gas dynamics processes caused by the plasma channel expansion during the interpulse period, nanoparticles were deposited onto the surface of the grounded plane electrode and the side wall of the gas discharge chamber. The morphology, elemental, and phase composition of the powders were studied using transmission electron microscopy (TEM) and energy-dispersive X-ray spectroscopy (EDS).
Haptoglobin Electrochemical Diagnostic Method for Subclinical Mastitis Detection in Bovine Milk
Authors: Carinelli Soledad , Fernández Iñigo , González-Mora José Luis , Salazar-Carballo Pedro A.
Published: July 2023

This work proposes an outstanding screening magneto-bioassay for the early identification of bovine subclinical mastitis. Haptoglobin (Hp) was used as a promising biomarker for the diagnosis of subclinical mastitis. To this end, novel chitosan-modified magnetic particles, coated with haemoglobin-modified polyaniline (MNPs@Chi/PANI-Hb), have been integrated in a sensitive electrochemical Hp bioassay. Haemoglobin was used as bioreceptor due to its high affinity against Hp. The appropriateness of their synthesis and their modifications were demonstrated by XRD, FT-IR spectroscopy, thermogravimetry and N2 adsorption–desorption analyses. After the optimization of the experimental parameters the main analytical features were obtained showing excellent performance. The electrochemical biosensor in milk matrix presented a dynamic range of 0.001 to 0.32 μg mL−1 with a detection limit of 0.031 μg mL−1, a value much lower than the normal Hp values in bovine milk, making it highly suitable for such determinations. Finally, real milk samples, obtained from local dairy farmers, were analysed by the electrochemical bioassay and compared against a commercial ELISA kit for Hp detection. Milk samples were correctly classified as “acceptable” or “unacceptable” milk considering the Hp concentration obtained with the proposed bioassay, confirming its excellent predictive capacity for subclinical mastitis diagnosis.
Food Allergy Education and Management in Early Learning and Childcare Centres: A Scoping Review on Current Practices and Gaps
Authors: Santos Mae Jhelene L. , Merrill Kaitlyn A. , Ben-Shoshan Moshe , Gerdts Jennifer D. , Giesbrecht Don , Lavine Elana , Prentice Susan , Upton Julia , Protudjer Jennifer L. P.
Published: July 2023

Anaphylaxis has occurred in preschools/schools yet there are no consistent food allergy (FA) management practices in early learning and childcare centres (ELCC) across jurisdictions. Presently, there are no reviews that have synthesized FA-related knowledge and management practices within ELCC. We aimed to perform a scoping review of FA management in ELCC, and report on perceived gaps or barriers. A PRISMA-ScR-guided search was conducted for North American, European and Australian articles in English/French in the OVID-MedLine, Scopus, and PsycInfo databases. Two independent reviewers screened the titles/abstracts of 2010 articles and full-text screened 77 articles; 15 of which were specifically related to ELCC. If the two reviewers could not agree to the relevance of a given study, a third reviewer provided guidance. This third reviewer also screened French articles. Thematic and descriptive reports of the studies were presented. We reported solely on pre-Coronavirus Disease pandemic ELCC studies. We included ten articles in this review, which provide evidence that ELCC staff have variable baseline knowledge, comprehension, experience, and practices in place to manage FA. ELCC staff also have limited FA-related training and experience regarding administration of epinephrine auto-injectors (EAI). Emergency Anaphylaxis Plans (EAP) were described in four studies. One study reported the parental influence on the site’s food purchasing and FA management. Three studies provided educational interventions, which demonstrated increased and sustained FA-related knowledge and confidence post-intervention. Participants deemed the training beneficial and desired annual training and more FA resources to be available. Across jurisdictions, ELCC staff have provided care and administered EAI in emergencies, but training remained variable. Communication and care planning amongst ELCC staff, and parents, is crucial. Annual education, available EAI and EAPs are tools necessary for effectively managing emergencies.
Treatment of Dark Humic Water Using Photocatalytic Advanced Oxidation (PAO) Processes under Visible and UV Light
Authors: Gordon Alexandra , Leaper Mark C. , Potgieter Herman , Ashiegbu Darlington , Sibanda Vusumuzi
Published: July 2023

The aim of the study was to investigate the application of photocatalytic advanced oxidation (PAO) for the treatment of water contaminated with dark humic material from fynbos biome plants, which cannot be treated by conventional methods. The study used a fynbos species (Aspalathus linearis) to create a model wastewater that was compared with a brew made from black tea (Camellia sinensis). Two photocatalysts (TiO2 and ZnO) and three light sources (natural, halogen light, and UV light) were tested, with and without hydrogen peroxide. The treatment of the two teas by only photolysis was observed to be minimal. The study found that natural sunlight was not effective, but a combination of ZnO and halogen lamp exhibited the best performance, with a 60% degradation in 20 min under solar irradiation. The optimum catalyst concentration was identified as 10 g/L for both photocatalysts. The influence of some process parameters showed that a combination of an optimum dose of 5 mM H2O2 and solar radiation improved the performance of TiO2 from 16 to 47%. The photocatalytic reaction data were fitted to the pseudo first and second-order kinetic models in order to exploit the kinetic process of the photo-destruction reaction. The kinetic fits showed that the degradation reaction better adhered to the second-order kinetic model when only ZnO and solar radiation were applied, regardless of the tea type employed. The application of PAO in this novel and cost-effective way has potential for the abatement of contaminated water to potable water. The use of heterojunction photocatalysts could be explored in future research to further improve the process.
Elementary Steps in Steady State Kinetic Model Approximation for the Homo-Heterogeneous Photocatalysis of Carbamazepine
Authors: Shahar Yuval , Rytwo Giora
Published: July 2023

Elucidating physicochemical processes in the degradation of pollutants may optimize their removal from water sources. Although the photodegradation of carbamazepine (CBZ) in Advanced Oxidation Processes (AOPs) has been widely studied, there is no detailed report on the elementary steps of the kinetics. This study proposes a set of elementary steps for the AOP of CBZ, combining short-wave ultraviolet radiation (UVC), a homogeneous reagent (H2O2), and a heterogeneous catalyst (TiO2), which includes the excitation of both reagents/catalysts by UVC photons, the adsorption of CBZ by the excited TiO2, or its oxidation by hydroxyl radicals. Assuming the steady-state approximation on the intermediate products (excited TiO2, CBZ-excited TiO2 complex, and hydroxyl radicals) leads to rate laws for the degradation of CBZ, in which UVC radiation, TiO2, and H2O2 are pseudo-first-order at all concentrations or intensities and have no direct influence on CBZ pseudo-order, whereas CBZ shifts from pseudo-first-order at low concentrations to pseudo-zero-order at high concentrations. Several experiments to test the mechanism were conducted by varying CBZ, H2O2, and TiO2 concentrations and UVC radiation intensities. The measured results indeed fit the suggested mechanism for the first three, but the irradiation intensity appears to shift the CBZ influence from pseudo-second- to pseudo-first-order with increased intensities. Part of the elementary steps were changed to fit the results.
Toward Efficient Recycling of Vanadium Phosphate-Based Sodium-Ion Batteries: A Review
Authors: Samarin Aleksandr Sh. , Ivanov Alexey V. , Fedotov Stanislav S.
Published: July 2023

Sodium-ion batteries (SIBs) have demonstrated noticeable development since the 2010s, being complementary to the lithium-ion technology in predominantly large-scale application niches. The projected SIB market growth will inevitably lead to the generation of tons of spent cells, posing a notorious issue for proper battery lifecycle management, which requires both the establishment of a regulatory framework and development of technologies for recovery of valuable elements from battery waste. While lithium-ion batteries are mainly based on layered oxides and lithium iron phosphate chemistries, the variety of sodium-ion batteries is much more diverse, extended by a number of other polyanionic families (crystal types), such as NASICON (Na3V2(PO4)3), Na3V2(PO4)2F3−yOy, (0 ≤ y ≤ 2), KTiOPO4-type AVPO4X (A—alkali metal cation, X = O, F) and β-NaVP2O7, with all of them relying on vanadium and phosphorous—critical elements in a myriad of industrial processes and technologies. Overall, the greater chemical complexity of these vanadium-containing phosphate materials highlights the need for designing specific recycling approaches based on distinctive features of vanadium and phosphorus solution chemistry, fine-tuned for the particular electrodes used. In this paper, an overview of recycling methods is presented with a focus on emerging chemistries for SIBs.
Phase Equilibria in the Fe-Mo-Co System: Experimental Investigation and Thermodynamic Calculation
Authors: Li Minghuan , Peng Zhiyong , Shang Yansong , Liu Yongxiong
Published: July 2023

As a kind of high-performance tool material, the phase relationship and microstructure evolution of Fe-Mo-Co alloy during manufacturing processes deserve attention and study. In the present work, isothermal sections of the Fe-Mo-Co system at 800 and 1350 °C were investigated using the equilibrium alloy method and diffusion couple technology. No ternary compounds were found in either isothermal section. Four three-phase regions and two three-phase regions were determined at 1350 and 800 °C, respectively. The μ-Fe7Mo6 phase presents a continuous solid solution in the two isothermal sections. A set of self-consistent thermodynamic parameters of the Fe-Mo-Co ternary system were obtained. The calculated results using the obtained thermodynamic parameters are in good agreement with the experimental results.
One-Dimensional NaSn2F5 Crystals Inside Single-Walled Carbon Nanotubes
Authors: Zakalyukin Ruslan M. , Levkevich Ekaterina A. , Kumskov Andrey S.
Published: July 2023

Crystals of NaSn2F5 were obtained from an aqueous solution. Their morphology and habitus were studied via scanning electron microscopy and X-ray phase diffraction analysis. The crystals obtained have a long prismatic shape with a very large aspect ratio (>100). The faceting of the crystal is represented by the (110) face, while the (100) face is practically absent. A nanocomposite incorporating one-dimensional (1D) NaSn2F5@SWCNT crystals was synthesized from the melt by means of the capillary wetting technique. The embedded fragment is represented by two planes of Sn cations, which provide contrast in high-resolution electron microscopy images. The cation plane is represented by the (110) crystallographic plane of the NaSn2F5 structure. The crystallographic direction [22¯3] coincides with the nanotube axis. The first layer of Sn cations forms a hexagonal network with Sn atoms at its nodes. The tin atoms in the second layer are arranged according to the closest spherical packing law in a plane, but with a distance between atoms that is two times greater than that in the first layer. Sn cations’ hexagon sizes are ~0.87 nm and ~0.69 nm in size. According to the Raman spectroscopy data, the nanocomposite behaves as an electron acceptor. The SWCNT diameter of 1.54 nm revealed using NaSn2F5@SWCNT Raman spectroscopy corresponds to their diameter in electron microscope images and the diameter used for modeling.
Skeleton Segmentation on Bone Scintigraphy for BSI Computation
Authors: Yu Po-Nien , Lai Yung-Chi , Chen Yi-You , Cheng Da-Chuan
Published: July 2023

Bone Scan Index (BSI) is an image biomarker for quantifying bone metastasis of cancers. To compute BSI, not only the hotspots (metastasis) but also the bones have to be segmented. Most related research focus on binary classification in bone scintigraphy: having metastasis or none. Rare studies focus on pixel-wise segmentation. This study compares three advanced convolutional neural network (CNN) based models to explore bone segmentation on a dataset in-house. The best model is Mask R-CNN, which reaches the precision, sensitivity, and F1-score: 0.93, 0.87, 0.90 for prostate cancer patients and 0.92, 0.86, and 0.88 for breast cancer patients, respectively. The results are the average of 10-fold cross-validation, which reveals the reliability of clinical use on bone segmentation.
Multidetector CT Imaging Biomarkers as Predictors of Prognosis in Shock: Updates and Future Directions
Authors: Valente Tullio , Bocchini Giorgio , Massimo Candida , Rea Gaetano , Lieto Roberta , Guarino Salvatore , Muto Emanuele , Abu-Omar Ahmad , Scaglione Mariano , Sica Giacomo
Published: July 2023

A severe mismatch between the supply and demand of oxygen is the common sequela of all types of shock, which present a mortality of up to 80%. Various organs play a protective role in shock and contribute to whole-body homeostasis. The ever-increasing number of multidetector CT examinations in severely ill and sometimes unstable patients leads to more frequently encountered findings leading to imminent death, together called “hypovolemic shock complex”. Features on CT include dense opacification of the right heart and major systemic veins, venous layering of contrast material and blood, densely opacified parenchyma in the right hepatic lobe, decreased enhancement of the abdominal organ, a dense pulmonary artery, contrast pooling in dependent lungs, and contrast stasis in pulmonary veins. These findings are biomarkers and prognostic indicators of paramount importance which stratify risk and improve patient outcomes. In this review, we illustrate the various CT patterns in shock and review the spectrum and prognostic significance of thoraco-abdominal vascular and visceral alarming signs of impending death with the intention of increasing awareness among radiologists and radiographers to prepare for immediate resuscitation when required.
Deep Reinforcement Learning for Truck-Drone Delivery Problem
Authors: Bi Zhiliang , Guo Xiwang , Wang Jiacun , Qin Shujin , Liu Guanjun
Published: July 2023

Utilizing drones for delivery is an effective approach to enhancing delivery efficiency and lowering expenses. However, to overcome the delivery range and payload capacity limitations of drones, the combination of trucks and drones is gaining more attention. By using trucks as a flight platform for drones and supporting their take-off and landing, the delivery range and capacity can be greatly extended. This research focused on mixed truck-drone delivery and utilized reinforcement learning and real road networks to address its optimal scheduling issue. Furthermore, the state and behavior of the vehicle were optimized to reduce meaningless behavior, especially the optimization of truck travel trajectory and customer service time. Finally, a comparison with other reinforcement learning algorithms with behavioral constraints demonstrated the reasonableness of the problem and the advantages of the algorithm.
An Experimental and Numerical Evaluation of the Aerodynamic Performance of a UAV Propeller Considering Pitch Motion
Authors: Zhang Zhitao , Xie Changchuan , Wang Wei , An Chao
Published: July 2023

Considering the vibration generated by a propeller-driven UAV or encountering gust, the propeller will perform a very complex follower motion. A pitch and rotating coupled motion is proposed in the present work that can take more complex unsteady performance of follower force than a regular fixed-point rotating motion. In order to evaluate the unsteady follower force and conduct parametric study, an extensive ground test bench was designed for this purpose where the whole test system was driven by a linear servo actuator and the follower force was measured by a 6-component balance. For CFD simulation, coupled motion in particular needs detailed unsteady aerodynamic model; therefore, a high-fidelity CFD-based study integrated with the overset mesh method was complemented to solve the unsteady fluid of varying conditions. The results suggest that a significant influence on unsteady follower force is observed, and the mean value of in-plane force does not equal to zero during the coupled motion process. Compared with the regular fixed-point rotation of propeller, the fluctuation frequency of follower force in present work couples the rotation and pitch motion frequencies. In addition, the oscillation amplitude of out-plane force and torque is positively related with the pitch frequency, pitch amplitude, and relative length from leading edge of wing to the rotation center. For example, the oscillation amplitude of 1-blade’s out-plane force and torque increases by 57.122% and 66.542% for the 5 Hz-5 deg case compared with the 5 Hz-3 deg case, respectively. However, the torque is not sensitive to frequency of pitch motion. The generally excellent agreement evident between the ground test and numerical simulation results is important as guidance for our future investigation on “dynamic” aerodynamic performance of a propeller-driven UAV.