bluuebunny/crossref_metadata_2025 huggingface dataset:
Coupling Coordination of China’s Agricultural Environment and Economy under the New Economic Background
Authors: Jin Shengtian , Mei Zihan , Duan Kaifeng
Published: August 2022

On the basis of the panel data of 31 provinces in China from 2011 to 2020, this paper first constructs an index system through the Pressure-State-Response (PSR) model and conducts a comprehensive evaluation of China’s agricultural environment according to the entropy weight TOPSIS model. Second, a coupling coordination degree model is established to calculate the degree of coupling coordination between the agricultural economy and the environment in each province. Finally, a spatial Durbin model is established to analyze the influencing factors of China’s agricultural economy. Results show that: ① the overall environment in the eastern region has little change, and the overall level is relatively backward; the agricultural environment in the central region is uneven; the agricultural environment in the western region is quite different from north to south. ② The regions with a high level of coupling coordination are mainly concentrated in the central and southern regions, and the performance is relatively intensive. The agricultural economy and the environment in the western region are extremely uncoordinated, and as is the overall coupling coordination between the agricultural economy and the environment in the eastern region in general. Further improvement is also needed. ③ Fixed asset investment, total power of agricultural machinery, rural electricity consumption, rural population, and rural per capita disposable income all have important influences on China’s agricultural economy. ④ The rural population size has a positive and the largest effect on the agricultural economy, whereas rural per capita disposable income has a negative effect on the agricultural economy. Moreover, improving farmers’ enthusiasm for farming is one of the key issues to be solved urgently.
Bioavailability, Speciation, and Crop Responses to Copper, Zinc, and Boron Fertilization in South-Central Saskatchewan Soil
Authors: Rahman Noabur , Schoenau Jeff
Published: August 2022

An appropriate fertilization strategy is essential for improving micronutrient supply, crop nutrition, yield and quality. Comparative effects of different application strategies of micronutrient fertilizer were evaluated in two contrasting sites/soils (upper slope Chernozem and lower slope Solonetz) within a farm field located in the Brown soil zone of Saskatchewan, Canada. The study objective was to examine the impact of Cu, Zn, and B fertilizer application strategies on their mobility, bioavailability and fate in the soil as well as crop yield responses. The application strategies were broadcast, broadcast and incorporation, seed row banding, and foliar application of Cu, Zn, and B on wheat, pea, and canola, respectively. The study was laid out in a randomized complete block design (RCBD) with four treatment replicates for a specific crop and site. Crop biomass yields were not significantly influenced by micronutrient placement strategies at both sites. Pea tissue Zn concentration (35.2 mg Zn kg−1 grain and 5.15 mg Zn kg−1 straw) was increased by broadcast and incorporation of Zn sulfate on the Solonetz soil. Residual levels of soil extractable available Cu were increased significantly to 3.18 mg Cu kg−1 soil at Chernozem and 2.53 mg Cu kg−1 soil Solonetz site with the seed row banding of Cu sulfate. The PRS™-probe supply of Cu (1.84 µm Cu/cm2) and Zn (1.18 µm Zn/cm2) were significantly higher with broadcast application of corresponding micronutrient fertilizer in the Chernozem soil. Both the chemical and spectroscopic speciation revealed that carbonate associated Cu and Zn were dominant species that are likely to control the bioavailability of these micronutrients under field conditions.
Transcriptomic and Metabolomic Analysis of a Fusidic Acid-Selected fusA Mutant of Staphylococcus aureus
Authors: Gupta Sushim K. , Pfeltz Richard F. , Wilkinson Brian J. , Gustafson John E.
Published: August 2022

Physiological experimentation, transcriptomics, and metabolomics were engaged to compare a fusidic acid-resistant Staphylococcus aureus mutant SH10001st-2 to its parent strain SH1000. SH10001st-2 harbored a mutation (H457Y) in the gene fusA which encodes the fusidic acid target, elongation factor G, as well as mutations in a putative phage gene of unknown function. SH10001st-2 grew slower than SH1000 at three temperatures and had reduced coagulase activity, two indicators of the fitness penalty reported for fusA-mediated fusidic acid- resistance in the absence of compensatory mutations. Despite the difference in growth rates, the levels of O2 consumption and CO2 production were comparable. Transcriptomic profiling revealed 326 genes were upregulated and 287 were downregulated in SH10001st-2 compared to SH1000. Cell envelope and transport and binding protein genes were the predominant functional categories of both upregulated and downregulated genes in SH10001st-2. Genes of virulence regulators, notably the agr and kdp systems, were highly upregulated as were genes encoding capsule production. Contrary to what is expected of mid-exponential phase cells, genes encoding secreted virulence factors were generally upregulated while those for adhesion-associated virulence factors were downregulated in SH10001st-2. Metabolomic analysis showed an overall increase in metabolite pools in SH10001st-2 compared to SH1000, mostly for amino acids and sugars. Slowed growth and metabolite accumulation may be byproducts of fusA mutation-mediated protein synthesis impairment, but the overall results indicate that SH10001st-2 is compensating for the H457Y fitness penalty by repurposing its virulence machinery, in conjunction with increasing metabolite uptake capacity, in order to increase nutrient acquisition.
Decreasing Incidence of Gastric Cancer with Increasing Time after Helicobacter pylori Treatment: A Nationwide Population-Based Cohort Study
Authors: Kim Taewan , Seo Seung In , Lee Kyung Joo , Park Chan Hyuk , Kim Tae Jun , Kim Jinseob , Shin Woon Geon
Published: August 2022

Background: Treatment of Helicobacter pylori (HP) has been shown to reduce the risk of gastric cancer (GC) development. However, previous studies have focused on patients at high risk of GC. This study aimed to assess the effect of HP treatment on the incidence of GC in the general population. Materials and Methods: Medical records were obtained from the Common Data Model-converted sample Cohort of the National Health Insurance Service of Korea (NHIS-CDM). The target cohort included those who had been prescribed HP treatment and the comparator cohort included those who had not. The association between HP treatment and the risk of GC development was assessed using the Cox proportional hazard model. The incidences of GC according to the period after HP treatment in different age groups were analyzed using proportional trend tests. Results: After large-scale 1:4 propensity score matching, 2735 and 5328 individuals were included in the target and comparator cohorts, respectively. During the median follow-up of 6.5 years, the GC incidence was lower in the HP treatment cohort than in the comparator cohort, but this was statistically insignificant (hazard ratio [HR]: 0.76; 95% confidence interval [CI]: 0.50–1.13; p-value = 0.19). This trend was also observed among the older age (≥65 years, HR: 0.87; 95% CI: 0.44–1.68; p-value = 0.69) and male cohorts (HR: 0.82; 95% CI: 0.51–1.27; p-value = 0.38). Among 58,684 individuals who were treated for HP from the whole NHIS-CDM cohort, the incidence of GC consistently decreased over time and showed a marked decrease with increasing age (p for trend < 0.05). Conclusions: In all age groups of the general population, HP treatment could be recommended to reduce the risk of GC.
Tailoring the V-Model for Optics: A Methodology for Optomechatronic Systems
Authors: Ley Peer-Phillip , Knöchelmann Marvin , Wolf Alexander , Lachmayer Roland
Published: August 2022

The integration of optical technologies into once purely mechatronic systems enables innovative functions, but simultaneously increases the complexity of previous mechatronic system development. Therefore, a process has been elaborated to develop these so-called optomechatronic systems by Knöchelmann at the Institute of Product Development at Leibniz University Hanover, which is based on the V-Model of VDI 2206 and can be applied to various fields of application. For a target-oriented development in a specific product context and for systems with competing main requirements, detailing and adapting the process is recommended. High-resolution lighting systems are one of them, where requirements for high optical efficiency and image quality lead to a conflict of objectives. Focusing on the optics domain, Ley elaborated methods for the preliminary and detailed design of high-resolution lighting systems to address the aforementioned conflict of objectives. This contribution focuses on the integration of Ley’s design methods into Knöchelmann’s process model within the phases of system design and domain-specific design, allowing us to analyze the impact of the system design on the fulfillment of main requirements to achieve an optimal solution of the conflict of objectives. To illustrate this, the integrated process model is described using an example from automotive lighting technology.
Honey as an Adjuvant in the Treatment of COVID-19 Infection: A Review
Authors: Soares Sónia , Bornet Mélina , Grosso Clara , Ramalhosa Maria João , Gouvinhas Irene , Garcia Juliana , Rodrigues Francisca , Delerue-Matos Cristina
Published: August 2022

Since ancestor times, honey has been used to promote human health due to its medicinal, and nutritious properties, mainly due to bioactive compounds present, such as phenolic compounds. The emergence of COVID-19, caused by the SARS-CoV-2 virus, led to the pursuit of solutions for the treatment of symptoms and/or disease. Honey has proven to be effective against viral infections, principally due to its potential antioxidant and anti-inflammatory activities that attenuate oxidative damage induced by pathogens, and by improving the immune system. Therefore, the aim of this review is to overview the abilities of honey to attenuate different COVID-19 symptoms, highlighting the mechanisms associated with these actions and relating the with the different bioactive compounds present. A brief, detailed approach to SARS-CoV-2 mechanism of action is first overviewed to allow readers a deep understanding. Additionally, the compounds and beneficial properties of honey, and its previously application in other similar diseases, are detailed in depth. Despite the already reported efficacy of honey against different viruses and their complications, further studies are urgently needed to explain the molecular mechanisms of activity against COVID-19 and, most importantly, clinical trials enrolling COVID-19 patients.
Diet, Polyphenols, and Human Evolution
Authors: Restani Patrizia , Colombo Francesca , Biella Simone , Bani Corinne , Mercogliano Francesca , Di Lorenzo Chiara
Published: August 2022

Although diet has contributed significantly to the evolution of human beings, the composition of the diet that has most affected this phenomenon is still an open issue. Diet has undoubtedly participated in the acquisition of the skills that underlie the differentiation of humans from other animal species and in this context the development of the nervous system has played a primary role. This paper aimed to: (1) outline the relationship between diet and human evolution; (2) evaluate how a variation in food consumption may have contributed to the enhancement of cognitive and adaptive capacities. The most widespread diet among the ancient populations that showed the highest levels of civilization (that is well-organized societies, using advanced technical tools, and promoting art and science) was very close to what is now defined as the Mediterranean diet. This suggests that a dietary approach typical of the Mediterranean basin (little meat and some fish; abundant cereals, legumes, fruit, vegetables and wine) significantly increased the intake of antioxidant molecules, including polyphenols, which along with other factors may have modulated the cognitive evolution of humans.
Arylation Reactions in the Synthesis of Biologically Important 2,5-Diaryl-1,3,4-Oxadiazoles
Authors: Olesiejuk Monika , Kudelko Agnieszka
Published: August 2022

Apart from carbon atoms, some cyclic molecules contain other elements and play an extraordinary role in human life. Among these systems, 1,3,4-oxadiazole derivatives deserve special attention due to their biological properties such as antibacterial, antifungal, antitumor, and anti-inflammatory properties. They are commonly used in pharmacology, as well as in fungicidal, herbicidal, and insecticidal agricultural applications. The 1,3,4-oxadiazole fragment is connected directly to other aromatic systems and can be found in the structure of some commercially available drugs, or in potential drug candidates in the final pharmacological testing phase. Therefore, scientists are looking for new hybrid materials based on 1,3,4-oxadiazoles and other biologically active molecules. The most popular methods for constructing new carbon–carbon bonds between two aromatic species include direct arylation, condensation, and cross-coupling reactions. This review article, comprising the literature from 2009 to 2022, discusses a number of arylation reactions in the synthesis of 2,5-diaryl-1,3,4-oxadiazole derivatives.
Real-Time Semantic Understanding and Segmentation of Urban Scenes for Vehicle Visual Sensors by Optimized DCNN Algorithm
Authors: Li Yanyi , Shi Jian , Li Yuping
Published: August 2022

The modern urban environment is becoming more and more complex. In helping us identify surrounding objects, vehicle vision sensors rely more on the semantic segmentation ability of deep learning networks. The performance of a semantic segmentation network is essential. This factor will directly affect the comprehensive level of driving assistance technology in road environment perception. However, the existing semantic segmentation network has a redundant structure, many parameters, and low operational efficiency. Therefore, to reduce the complexity of the network and reduce the number of parameters to improve the network efficiency, based on the deep learning (DL) theory, a method for efficient image semantic segmentation using Deep Convolutional Neural Network (DCNN) is deeply studied. First, the theoretical basis of the convolutional neural network (CNN) is briefly introduced, and the real-time semantic segmentation technology of urban scenes based on DCNN is recommended in detail. Second, the atrous convolution algorithm and the multi-scale parallel atrous spatial pyramid model are introduced. On the basis of this, an Efficient Symmetric Network (ESNet) of real-time semantic segmentation model for autonomous driving scenarios is proposed. The experimental results show that: (1) On the Cityscapes dataset, the ESNet structure achieves 70.7% segmentation accuracy for the 19 semantic categories set, and 87.4% for the seven large grouping categories. Compared with other algorithms, the accuracy has increased to varying degrees. (2) On the CamVid dataset, compared with segmentation networks of multiple lightweight real-time images, the parameters of the ESNet model are around 1.2 m, the highest FPS value is around 90 Hz, and the highest mIOU value is around 70%. In seven semantic categories, the segmentation accuracy of the ESNet model is the highest at around 98%. From this, we found that the ESNet significantly improves segmentation accuracy while maintaining faster forward inference speed. Overall, the research not only provides technical support for the development of real-time semantic understanding and segmentation of DCNN algorithms but also contributes to the development of artificial intelligence technology.
Simplified Expansions of Common Latitudes with Geodetic Latitude and Geocentric Latitude as Variables
Authors: Li Xiaoyong , Li Houpu , Liu Guohui , Bian Shaofeng , Jiao Chenchen
Published: August 2022

Using the symbolic calculation program Mathematica and based on the power series expansions of the common latitude with geodetic latitude as a variable, power series expansions of the common latitude with geocentric latitude as the variable are derived. The coefficients of the two groups of formulas are based on the ellipsoid eccentricity e and the ellipsoid third flattening n, which make the expansions more uniform. Taking the CGCS2000 as an example, numerical analysis is applied to verify the accuracy and reliability of the derived power series expansions. By analyzing and calculating the truncation error of the common latitude based on ellipsoidal eccentricity e and the third flattening n expansion to different orders, we obtain simplified, practical formulas for the common latitude that satisfy the requirement of geodesic accuracy. Moreover, we show that the practical formula derived has higher calculation efficiency and easier dissemination, enriches the theory of map projection, and provides a basis for better display of remote sensing images.
Investigation of Sonosensitizers Based on Phenothiazinium Photosensitizers
Authors: Chang Cheng-Chung , Hsieh Chia-Feng , Wu Hsing-Ju , Ameen Mohamed , Hung Tun-Pin
Published: August 2022

The main advantage of sonodynamic therapy (SDT), the combining of ultrasound with a sonosensitizer, over photodynamic therapy (PDT) is that ultrasound penetrates deeper into tissues to activate the sonosensitizer, which offers noninvasive therapy for tumors in a site-oriented approach. In this study, we synthesized two symmetrical phenothiazine derivatives in which the methyl groups of MB (methylene blue) have been replaced by a hexyl and hydroxyethyl chains, named 3,7-bis(dihexylamino)-phenothiazin-5-ium iodide (MB6C) and 3,7-bis(di(2-hydroxyethyl)amino)-phenothiazin-5-ium iodide (MBOH), respectively. We explore the efficiency differences between PDT and SDT induced by these phenothiazine derivatives based on the standard of methylene blue (MB). Spectral studies indicate that these MB analogs exhibit sonosensitization ability with a similar tendency to the photosensitization ability. This means that MB, MBOH, and MB6C can be potential photosensitizers and sonosensitizers. After biological evaluation, we conclude that compound MB6C is a potential PDT and SDT candidate because it exhibits higher uptake, efficient intracellular phototoxicity and sonotoxicity over MB and MBOH, with IC50 values of ~2.5 µM and ~5 µM, respectively.
Sex-Based Evaluation of Lipid Profile in Postoperative Adjuvant Mitotane Treatment for Adrenocortical Carcinoma
Authors: Allegra Sarah , Puglisi Soraya , Borin Chiara , Chiara Francesco , Basile Vittoria , Calabrese Anna , Reimondo Giuseppe , De Francia Silvia
Published: August 2022

Background: A wide interindividual variability in mitotane concentrations and treatment-related dyslipidemia have been reported. Here, we aimed to underline the sex-related differences in the lipid profile in patients that underwent radical surgery of adrenocortical carcinoma during treatment with adjuvant mitotane. Methods: A chromatographic method was used to quantify the drug in plasma collected from adult patients with complete tumor resection, also considering active metabolite o,p’-DDE. Results: We observed different lipid profiles between males and females and between pre- and post-menopausal women. Considering the mitotane-related effects on lipid levels, we observed that higher drug concentrations were correlated with higher HDL in all the considered groups (p < 0.001), with total cholesterol both in males (p = 0.005) and females (p = 0.036), with triglycerides in postmenopausal females (p = 0.002) and with LDL in male patients (p < 0.001). Increases in o,p’-DDE were positively correlated with HDL levels in all the groups (p < 0.001) and negatively with LDL in all the groups (males p = 0.008, pre- and post-menopausal females p < 0.001), with total cholesterol in pre- (p = 0.016) and post-menopausal women (p = 0.01) and with triglycerides in premenopausal females (p = 0.005). Conclusions: This is the first study designed to evaluate sex differences in lipoprotein and lipid levels during mitotane adjuvant treatment; the results suggest that a gender and personalized approach could be useful to prevent and manage alterations in the lipid profile.
Multiple Sclerosis: Enzymatic Cross Site-Specific Recognition and Hydrolysis of H2A Histone by IgGs against H2A, H1, H2B, H3 Histones, Myelin Basic Protein, and DNA
Authors: Nevinsky Georgy A. , Buneva Valentina N. , Dmitrienok Pavel S.
Published: August 2022

Histones have a paramount role in chromatin remodeling and gene transcription. Free histones are damage-associated molecules in the blood; administration of histones to animals drives systemic inflammatory and toxic effects. Myelin basic protein (MBP) is the most crucial component of the axon myelin-proteolipid sheath. Antibodies-abzymes with different enzymatic activities are very toxic and an essential feature of some autoimmune diseases. Electrophoretically homogeneous IgGs against H1, H2A, H2B, H3, H4, MBP, and DNA were derived from sera of multiple sclerosis (MS) patients by several affinity chromatographies. Using MALDI-TOFF mass spectrometry, it was shown that IgGs against H2A split H2A at 12 sites; the number of H2A hydrolysis sites by antibodies against other antigens is different: H1 (19), H2B (11), H3 (15), H4 (9), MBP (10), and DNA (23), and they only partly match. Thus, the complex formation polyreactivity and the enzymatic cross-activity of pernicious humans IgGs against five histones, MBP, and DNA have been shown for the first time. The data obtained indicate that the formation of such polyspecific-polyreactive abzymes, whose single active center can recognize and hydrolyze different substrates, can occur due to the formation of antibodies against hybrid antigenic determinants consisting of several histone protein sequences. IgGs with high affinity for DNA with DNase and protease activities may be antibodies against DNA-histone complex antigenic determinants, including protein and DNA sequences. Polyreactive IgGs-abzymes against MBP, five histones, and DNA with extended cytotoxicity can play a very negative role in the pathogenesis of multiple sclerosis and probably other different diseases.
Mast Cells and Vitamin D Status: A Clinical and Biological Link in the Onset of Allergy and Bone Diseases
Authors: Murdaca Giuseppe , Allegra Alessandro , Tonacci Alessandro , Musolino Caterina , Ricciardi Luisa , Gangemi Sebastiano
Published: August 2022

The immune system is made up by an extremely composite group of cells, whose regulated and harmonious activity is fundamental to maintain health. The mast cells are an essential effector of inflammatory response which is characterized by a massive release of mediators accumulated in cytoplasmic secretory granules. However, beyond the effects on immune response, mast cells can modify bone metabolism and are capable of intervening in the genesis of pathologies such as osteoporosis and osteopenia. Vitamin D is recognized to induce changes in bone metabolism, but it is also able to influence immune response, suppressing mast cell activation and IgE synthesis from B cells and increasing the number of dendritic cells and IL-10-generating regulatory T cells. Vitamin D deficit has been reported to worsen sensitization and allergic manifestations in several different experimental models. However, in clinical situations, contradictory findings have been described concerning the correlation between allergy and vitamin D deficit. The aim of this review was to analyze the close relationships between mast cells and vitamin D, which contribute, through the activation of different molecular or cellular activation pathways, to the determination of bone pathologies and the onset of allergic diseases.
Improving the Effectiveness of Anti-COVID Measures in Buildings: Learning from Users’ Perception
Authors: Zatta Elisa , Condotta Massimiliano , Tatano Valeria , Bettelli Alice , Zanella Elena , La Magna Nicola , Gamberini Luciano
Published: August 2022

The COVID-19 spread abruptly changed the fruition of indoor environments, where necessary adaptive measures have since been implemented. Buildings open to the public were suddenly equipped with physical devices aiming to encourage users’ appropriate behaviors, such as hand sanitizing, social distancing, and temperature monitoring. Through a twofold architectural-psychological perspective, the paper presents a research aiming to understand how users perceive these devices in the Italian context and to identify the design features that could improve their effectiveness in enhancing individuals’ awareness. With an interdisciplinary approach, four methods were adopted: observational field surveys, background and normative framework analysis, survey research through an online questionnaire, and case studies survey research. The results confirm the overall effectiveness of the implemented anti-COVID strategies, their suitability in encouraging individuals’ appropriate behaviors, and the importance of regulating the users’ flow indoors. The research allowed defining the devices (hand-sanitizing devices and temperature-measurement instruments) and wayfinding systems more suited to be included in the prevention strategy and identified their more appropriate design features in relation to the users’ feedback. Operational suggestions are presented as well. The adopted experimental approach can be useful in supporting decision making in managing of the built environment in both the current and future contexts.
Tumor Progression and Treatment-Related Changes: Radiological Diagnosis Challenges for the Evaluation of Post Treated Glioma
Authors: Qin Danlei , Yang Guoqiang , Jing Hui , Tan Yan , Zhao Bin , Zhang Hui
Published: August 2022

As the most common neuro-epithelial tumors of the central nervous system in adults, gliomas are highly malignant and easy to recurrence, with a dismal prognosis. Imaging studies are indispensable for tracking tumor progression (TP) or treatment-related changes (TRCs). During follow-up, distinguishing TRCs from TP in treated patients with gliomas remains challenging as both share similar clinical symptoms and morphological imaging characteristics (with new and/or increasing enhancing mass lesions) and fulfill criteria for progression. Thus, the early identification of TP and TRCs is of great significance for determining the prognosis and treatment. Histopathological biopsy is currently the gold standard for TP and TRC diagnosis. However, the invasive nature of this technique limits its clinical application. Advanced imaging methods (e.g., diffusion magnetic resonance imaging (MRI), perfusion MRI, magnetic resonance spectroscopy (MRS), positron emission tomography (PET), amide proton transfer (APT) and artificial intelligence (AI)) provide a non-invasive and feasible technical means for identifying of TP and TRCs at an early stage, which have recently become research hotspots. This paper reviews the current research on using the abovementioned advanced imaging methods to identify TP and TRCs of gliomas. First, the review focuses on the pathological changes of the two entities to establish a theoretical basis for imaging identification. Then, it elaborates on the application of different imaging techniques and AI in identifying the two entities. Finally, the current challenges and future prospects of these techniques and methods are discussed.
Combined Systemic Drug Treatment with Proton Therapy: Investigations on Patient-Derived Organoids
Authors: Naumann Max , Czempiel Tabea , Lößner Anna Jana , Pape Kristin , Beyreuther Elke , Löck Steffen , Drukewitz Stephan , Hennig Alexander , von Neubeck Cläre , Klink Barbara , Krause Mechthild , William Doreen , Stange Daniel E. , Bütof Rebecca , Dietrich Antje
Published: August 2022

To optimize neoadjuvant radiochemotherapy of pancreatic ductal adenocarcinoma (PDAC), the value of new irradiation modalities such as proton therapy needs to be investigated in relevant preclinical models. We studied individual treatment responses to RCT using patient-derived PDAC organoids (PDO). Four PDO lines were treated with gemcitabine, 5-fluorouracile (5FU), photon and proton irradiation and combined RCT. Therapy response was subsequently measured via viability assays. In addition, treatment-naive PDOs were characterized via whole exome sequencing and tumorigenicity was investigated in NMRI Foxn1nu/nu mice. We found a mutational pattern containing common mutations associated with PDAC within the PDOs. Although we could unravel potential complications of the viability assay for PDOs in radiobiology, distinct synergistic effects of gemcitabine and 5FU with proton irradiation were observed in two PDO lines that may lead to further mechanistical studies. We could demonstrate that PDOs are a powerful tool for translational proton radiation research.
Activity of Catalytic Ceramic Papers to Remove Soot Particles—A Study of Different Types of Soot
Authors: Leonardi Sabrina Antonela , Miró Eduardo Ernesto , Milt Viviana Guadalupe
Published: August 2022

Diesel soot particles are of concern for both the environment and health. To catalytically remove them, it is important to know their structure and composition. There is little described in the literature on how catalysts favor the combustion of different soot fractions. In this work, programmed temperature oxidation (TPO) experiments were carried out using Co,Ce or Co,Ba,K catalysts supported on ceramic papers. Soot particles were obtained by burning diesel fuel in a vessel (LabSoot) or by filtering exhaust gases from a turbo diesel engine in a DPF filter (BenchSoot), and compared with a commercial diesel soot: Printex U. Various characterization techniques were useful to relate the characteristics of both the soot particles and the catalysts with the TPO results. The maximum catalytic soot burn rate (TM) temperatures were in the range of diesel exhaust temperatures that would facilitate in-situ regeneration of the DPF. The Co,Ba,K catalyst showed a higher catalytic effect in LabSoot, as the latter exhibited the largest primary particles and the higher order of graphene layers, for which the potassium-containing catalyst improves the contact between soot and catalyst and favors the combustion of soot, while the Co,Ce catalyst preferentially enhanced the combustion of commercial soot by supplying active oxygen.
Pediatric Primary Care Perspectives of Mental Health Services Delivery during the COVID-19 Pandemic
Authors: Lee Chuan Mei , Lutz Jessica , Khau Allyson , Lin Brendon , Phillip Nathan , Ackerman Sara , Steinbuchel Petra , Mangurian Christina
Published: August 2022

Due to a national shortage of child and adolescent psychiatrists, pediatric primary care providers (PCPs) are often responsible for the screening, evaluation, and treatment of mental health disorders. COVID-19 pandemic stay-at-home orders decreased access to mental health care and increased behavioral and emotional difficulties in children and adolescents. Despite increased demand upon clinicians, little is known about mental health care delivery in the pediatric primary care setting during the pandemic. This focus group study explored the experiences of pediatric PCPs and clinical staff delivering mental health care during the pandemic. Transcripts from nine focus groups with San Francisco Bay Area primary care practices between April and August 2020 were analyzed using a thematic analysis approach. Providers expressed challenges at the patient-, provider-, and system-levels. Many providers reported increased patient mental health symptomatology during the pandemic, which was often intertwined with patients’ social determinants of health. Clinicians discussed the burden of the pandemic their own wellness, and how the rapid shift to telehealth primary care and mental health services seemed to hinder the availability and effectiveness of many resources. The findings from this study can inform the creation of new supports for PCPs and clinical staff providing mental health care.
The Role of Cytoreductive Nephrectomy in Renal Cell Carcinoma with Sarcomatoid Histology: A Case Series and Review of the Literature
Authors: Studentova Hana , Rusarova Nikol , Ondruskova Andrea , Zemankova Anezka , Student Vladimir , Skanderova Daniela , Melichar Bohuslav
Published: August 2022

Background: Renal cell carcinoma with sarcomatoid dedifferentiation represents a rare histological entity characterized by aggressive behavior, limited efficacy of tyrosine kinase inhibitors or mTOR inhibitors, and poor outcome. The immune checkpoint inhibitor therapy regimen combining ipilimumab with nivolumab represents a new standard of care for this patient population due to a hitherto unprecedented response rate and overall survival. On the other hand, the role of cytoreductive nephrectomy in metastatic renal cell carcinoma, in particular, with sarcomatoid histology, remains controversial. Patient and Methods: In the present case series, we report six patients with locally advanced or synchronous metastatic sarcomatoid renal cell carcinoma and intermediate or poor International Metastatic RCC Database Consortium (IMDC) risk score, five of whom were successfully subjected to cytoreductive nephrectomy. Results: All six patients received the combination regimen of ipilimumab with nivolumab. Five of these patients underwent upfront cytoreductive nephrectomy followed by systemic treatment without any significant delay, with a durable treatment outcome. Notably, two patients with poor prognostic features achieved a long-term major partial response to therapy. We also performed a review of the literature on optimal treatment strategies for patients with sarcomatoid renal cell carcinoma. Conclusion: Herein, we highlight the feasibility of performing cytoreductive nephrectomy in patients with intermediate/poor prognosis metastatic renal cell carcinoma with sarcomatoid dedifferentiation followed by immunotherapy with ipilimumab and nivolumab. To enhance the chances of immunotherapy success, cytoreductive nephrectomy should also be considered for patients presenting with a disease with adverse prognostic parameters.
Prevalence and Characteristics of Accessory Mandibular Canals: A Cone-Beam Computed Tomography Study in a European Adult Population
Authors: Varvara Giuseppe , Feragalli Beatrice , Turkyilmaz Ilser , D’Alonzo Aurelio , Rinaldi Fabiola , Bianchi Serena , Piattelli Maurizio , Macchiarelli Guido , Bernardi Sara
Published: August 2022

The purpose of this observational study is to evaluate the prevalence and main characteristics of bifid canals within a European adult population, analyzing cone-beam-computed tomography (CBCT). The population study examined 300 subjects. The CBCTs were performed between 2012 and 2019, using PaX-Zenith3D with a standard protocol of acquisition. The parameters analyzed were the presence and lengths of the bifid mandibular canals. The sample included 49% male and 51% female participants. The mean age of the patients was 47.07 ± 17.7 years. Anatomical variants of the mandibular canal were identified in 28.8% of the sides and 50.3% of the patients. In 7.3% of the subjects, the anatomical variants were present bilaterally. The most frequently encountered bifid canal was Type 3 (40.5%), followed by the Type 1 canal (39.3%), the Type 2 canal (14.5%), and the Type 4 canal (5.9%), 40% on the right side and 60% on the left side. The average length of the bifid canals located on the right side of the mandible was 11.96 ± 5.57 mm, compared to 11.38 ± 4.89 mm for those measured on the left side. The bifid mandibular canal is a common anatomical variation of the mandibular canal. It is fundamental to performing an accurate preoperative evaluation using CBCT analysis to avoid and/or reduce intraoperative and postoperative complications.
Analysis of the Element-Free Galerkin Method with Penalty for Stokes Problems
Authors: Zhang Tao , Li Xiaolin
Published: August 2022

The element-free Galerkin (EFG) method with penalty for Stokes problems is proposed and analyzed in this work. A priori error estimates of the penalty method, which is used to deal with Dirichlet boundary conditions, are derived to illustrate its validity in a continuous sense. Based on a feasible assumption, it is proved that there is a unique weak solution in the modified weak form of penalized Stokes problems. Then, the error bounds with the penalty factor for the EFG discretization are derived, which provide a rationale for choosing an efficient penalty factor. Numerical examples are given to confirm the theoretical results.
HFGNN-Proto: Hesitant Fuzzy Graph Neural Network-Based Prototypical Network for Few-Shot Text Classification
Authors: Guo Xinyu , Tian Bingjie , Tian Xuedong
Published: August 2022

Few-shot text classification aims to recognize new classes with only a few labeled text instances. Previous studies mainly utilized text semantic features to model the instance-level relation among partial samples. However, the single relation information makes it difficult for many models to address complicated natural language tasks. In this paper, we propose a novel hesitant fuzzy graph neural network (HFGNN) model that explores the multi-attribute relations between samples. We combine HFGNN with the Prototypical Network to achieve few-shot text classification. In HFGNN, multiple relations between texts, including instance-level and distribution-level relations, are discovered through dual graph neural networks and fused by hesitant fuzzy set (HFS) theory. In addition, we design a linear function that maps the fused relations to a more reasonable range in HFGNN. The final relations are used to aggregate the information of neighbor instance nodes in the graph to construct more discriminative instance features. Experimental results demonstrate that the classification accuracy of the HFGNN-based Prototypical Network (HFGNN-Proto) on the ARSC, FewRel 5-way 5-shot, and FewRel 10-way 5-shot datasets reaches 88.36%, 94.45%, and 89.40%, respectively, exceeding existing state-of-the-art few-shot learning methods.
Two-Dimensional URANS Numerical Investigation of Critical Parameters on a Pitch Oscillating VAWT Airfoil under Dynamic Stall
Authors: Ullah Tariq , Sobczak Krzysztof , Liśkiewicz Grzegorz , Khan Amjid
Published: August 2022

In this paper, a thorough 2D unsteady computational fluid dynamic analysis was performed on a pitching airfoil to properly comprehend the dynamic stall and aerodynamic forces. The computational software ANSYS Fluent was used to solve the unsteady Reynolds-averaged Navier–Stokes equations. Low Reynolds number flows were modeled using the k-ω shear stress transport turbulence model. Aerodynamic forces, fluid flow structures, and flow separation delay angles were explored as a function of the Reynolds number, reduced frequency, oscillation amplitude, and mean angle of attack. The maximum aerodynamic forces, including lift, drag, and the onset of the dynamic stall, were all influenced by these variables. The critical parameters that influenced the optimum aerodynamic forces and ended up causing dynamic stall delay were oscillation amplitude and mean angle of attack. The stall angle was raised by 9° and 6°, respectively, and a large increment in the lift coefficient was also noted in both cases. Additionally, for the highest Reynolds number, a considerable rise in the maximum lift coefficient of 20% and a 28% drop in drag coefficient were observed, with a 1.5° delay in the stall angle. Furthermore, a significant increase of 33% in the lift force was seen with a rise of 4.5° in the stall angle in the case of reduced frequency.
Repurposing South Africa’s Retiring Coal-Fired Power Stations for Renewable Energy Generation: A Techno-Economic Analysis
Authors: Nogaya Gugulethu , Nwulu Nnamdi I. , Gbadamosi Saheed Lekan
Published: August 2022

South Africa is one of the most carbon-intensive economies in the world, but it is presently experiencing an energy crisis, as its utility company cannot meet the country’s energy demands. The use of renewable energy sources and retiring of coal-fired power stations are two important ways of alleviating this problem, as well as decarbonizing the grid. Repurposing retiring coal-fired power stations for renewable energy generation (RCP-RES) while maintaining energy sustainability and reliability has rarely been researched. This paper proposes macro- and microelements for repurposing retiring coal-fired power stations for renewable energy generation in Camden with the aim of improving power generation through a low-carbon system. In this model, concentrated solar power (CSP) and solar photovoltaics (SPV), in combination with storage technologies (STs), were employed for RCP-RES, owing to their excellent levels of availability in the retiring fleet regions. The simulation results show that the power densities of CSP and SPV are significantly lower compared with retiring a coal-fired power plant (CFPP). Both are only able to generate 8.4% and 3.84% rated capacity of the retired CFPP, respectively. From an economic perspective, the levelized cost of electricity (LCOE) analysis indicates that CSP is significantly cheaper than coal technology, and even cheaper when considering SPV with a storage system.
A Qualitative Strategy for Fusion of Physics into Empirical Models for Process Anomaly Detection
Authors: Al Rashdan Ahmad Y. , Abdel-Khalik Hany S. , Giraud Kellen M. , Cole Daniel G. , Farber Jacob A. , Clark William W. , Alemu Abenezer , Allen Marcus C. , Spangler Ryan M. , Varuttamaseni Athi
Published: August 2022

To facilitate the automated online monitoring of power plants, a systematic and qualitative strategy for anomaly detection is presented. This strategy is essential to provide credible reasoning on why and when an empirical versus hybrid (i.e., physics-supported) approach should be used and to determine the ideal mix of these two approaches for a defined anomaly detection scope. Empirical methods are usually based on pattern, statistical, and causal inference. Hybrid methods include the use of physics models to train and test data methods, reduce data dimensionality, reduce data-model complexity, augment data, and reduce empirical uncertainty; hybrid methods also include the use of data to tune physics models. The presented strategy is driven by key decision points related to data relevance, simple modeling feasibility, data inference, physics-modeling value, data dimensionality, physics knowledge, method of validation, performance, data availability, and suitability for training and testing, cause-effect, entropy inference, and model fitting. The strategy is demonstrated through a pilot use case for the application of anomaly detection to capture a valve packing leak at the high-pressure coolant injection system of a nuclear power plant.
Models of Electricity Price Forecasting: Bibliometric Research
Authors: Zema Tomasz , Sulich Adam
Published: August 2022

Electricity Price Forecasting (EPF) influences the sale conditions in the energy sector. Proper models of electricity price prognosis can be decisive for choice between energy sources as a start point of transformation toward renewable energy sources. This article aims to present and compare various EPF models scientific publications. Adopted in this study procedure, the EPF publications models are compared into two main categories: the most popular and the most accurate. The adopted method is a bibliometric study as a variation of Systematic Literature Review (SLR) with specified automated queries supported by the VOSviewer bibliometric maps exploration. The subject of this research is the exploration of EPF models in two databases, Web of Science and Scopus, and their content comparison. As a result, the SLR research queries were classified into two groups, the most cited and most accurate models. Queries characteristics were explained, along with the graphical presentation of the results. Future promising research avenues can be dedicated to the most accurate EPF model formulation proved by statistical testing of its significance and accuracy.
Lichen as Multipartner Symbiotic Relationships
Authors: Morillas Lourdes , Roales Javier , Cruz Cristina , Munzi Silvana
Published: August 2022

Lichens have long been considered as composite organisms composed of algae and/or cyanobacteria hosted by a fungus in a mutualistic relationship. Other organisms have been gradually discovered within the lichen thalli, such as multiple algal species, yeasts, or even viruses. Of pivotal relevance is the existence of the lichen microbiome, which is a community of microorganisms that can be found living together on the lichen surface. This community performs a growing number of functions. In this entry, we explore the journey of lichens being considered from a dual partnership to a multi-species symbiotic relationship.
Orthopedic Complications and Management in Children with X-Linked Hypophosphatemia
Authors: Higuchi Chikahisa
Published: August 2022

X-linked hypophosphatemia is an inheritable disease of renal phosphate wasting that results in clinically manifestations associated with rickets or osteomalacia. The various symptoms in the skeletal system are well recognized, such as short stature; lower limb deformities; and bone, joint, or muscle pain, and it is often difficult to control these symptoms, despite the use of medication therapy in growing children. In addition, lower limb deformities can lead to degenerative osteoarthritis and dysfunction of lower limbs at the skeletal maturity. To prevent from future manifestation of those symptoms, orthopedic surgeries are applicable to growing patients with severe skeletal deformities or without response to conventional medication. Bone deformities are treated by acute or gradual corrective osteotomies and temporally hemiepiphysiodesis using guided growth method. The clinicians should choose the right procedure based on age, symptoms and state of deformities of the patient.
Effects of Frozen Storage Temperature on Water-Holding Capacity and Physicochemical Properties of Muscles in Different Parts of Bluefin Tuna
Authors: Wang Jinfeng , Zhang Hanwen , Xie Jing , Yu Wenhui , Sun Yuyao
Published: August 2022

The effects of different freezing temperatures on the water-holding capacity and physicochemical properties of bluefin tuna were studied. The naked body, big belly and middle belly parts of bluefin tuna were stored at −18 °C and −55 °C for 180 days. The tuna was evaluated by determining the water-holding capacity, color difference, malondialdehyde (MDA), salt-soluble protein content, free amino acid (FAA), endogenous fluorescent proteins and water distribution and migration. The salt-soluble protein content was measured by the Bradford method. The color difference was measured by a CR-400 color difference meter. The water distribution and migration were analyzed by the low-field nuclear magnetic resonance (LF-NMR). The results showed little quality change during short-term frozen storage, but the frozen storage temperature of −55 °C significantly improved the quality of tuna compared with the frozen storage temperature of −18 °C. There were great differences in the salt-soluble protein content, water-holding capacity and water content the different parts of the tuna. The water-holding capacity and the protein content were the highest, and the water distribution of the naked body part was the most uniform of the three different parts. Because of the high fat content in the big belly and the middle belly, the MDA content and the odor of amino acid increased rapidly and the quality seriously decreased during the frozen storage.