bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamic Characteristics Prediction Model for Diesel Engine Valve Train Design Parameters Based on Deep Learning
Authors: Lee Wookey , Jung Tae-Yun , Lee Suan
Published: April 2023

This paper presents a comprehensive study on the utilization of machine learning and deep learning techniques to predict the dynamic characteristics of design parameters, exemplified by a diesel engine valve train. The research aims to address the challenging and time-consuming analysis required to optimize the performance and durability of valve train components, which are influenced by numerous factors. To this end, dynamic analyses data have been collected for diesel engine specifications and used to construct a regression prediction model using a gradient boosting regressor tree (GBRT), a deep neural network (DNN), a one-dimensional convolution neural network (1D-CNN), and long short-term memory (LSTM). The prediction model was utilized to estimate the force and valve seating velocity values of the valve train system. The dynamic characteristics of the case were evaluated by comparing the actual and predicted values. The results showed that the GBRT model had an R2 value of 0.90 for the valve train force and 0.97 for the valve seating velocity, while the 1D-CNN model had an R2 value of 0.89 for the valve train force and 0.98 for the valve seating velocity. The results of this study have important implications for advancing the design and development of efficient and reliable diesel engines.
Sustainability of Geosynthetics-Based Solutions
Authors: Dąbrowska Jolanta , Kiersnowska Agnieszka , Zięba Zofia , Trach Yuliia
Published: April 2023

Sustainability emphasises the importance of increasing the resource efficiency of infrastructure. The usage of geosynthetic materials in civil and environmental engineering can significantly influence sustainability at the planning and design stages of infrastructure construction projects. They are used in many different applications in construction and environmental engineering, as they provide a better and longer performance and less costly solutions than traditional materials (such as sand, gravel, concrete and cement). Additional benefits can be achieved by combining geosynthetics with various recycled materials as substitutes for high-quality natural materials. In this paper, the importance of sustainability in geosynthetics-based solutions is discussed. The possibilities of using geosynthetics in sustainable development have been analysed and the benefits resulting from their application, such as the reduction in carbon footprint and release of greenhouse gases and saving water and other natural resources, have been assessed. Innovative solutions that support mitigation measures, adaptation to climate change and achievement of sustainable development goals have been presented.
Sediment CO2 Flux from a Mangrove in Southern China: Is It Controlled by Spatiotemporal, Biotic or Physical Factors?
Authors: Nie Siqi , Ouyang Xiaoguang , Wang Wenqing , Zhu Zhenchang , Guo Fen , Yang Zhifeng , Lee Shing Yip
Published: April 2023

Carbon gas flux is important for studies on carbon dynamics in mangroves, but the controlling factors have not always been sufficiently understood. In this study, it is suggested that sediment carbon dioxide (CO2) fluxes in a natural mangrove in Southern China are controlled by tidal positions, seasons, species, the densities of crab burrows and pneumatophores, light conditions and sediment temperature. All these factors account for 51.47% variation in CO2 flux from the sediment–air interface. CO2 flux generally decreased along the tidal position from landward to seaward, and was higher in the dry season than in the wet season. CO2 flux was highest in Avicennia marina (grey mangrove) in comparison with Aegiceras corniculatum (river mangrove) and Kandelia obovata. Pneumatophores and crab burrows promoted sediment CO2 flux in the mangrove at a rate of 18.29 and 15.52 mmol m−2 d−1. Dark flux was higher than light flux. Sediment temperature has a negative influence on CO2 flux. Pneumatophores explain the most variation (13.9%) in CO2 flux among the above factors. Our study suggests that the photosynthesis activity of microphytobenthos is an important factor driving the change of CO2 emissions in this natural mangrove. This is of great significance for the study and for the full exploitation of the carbon sink potential of mangroves.
Comparative Genomics Analysis of Habitat Adaptation by Lactobacillus kefiranofaciens
Authors: Luo Rui , Liu Chen , Li Yu , Liu Qing , Su Xin , Peng Qingting , Lei Xueyan , Li Weicheng , Menghe Bilige , Bao Qiuhua , Liu Wenjun
Published: April 2023

Lactobacillus kefiranofaciens is often found in fermented dairy products. Many strains of this species have probiotic properties, contributing to the regulation of immune metabolism and intestinal flora. This species was added to the list of lactic acid bacteria that can be added to food in China, in 2020. However, research on the genomics of this species is scarce. In this study we undertook whole genome sequencing analysis of 82 strains of L. kefiranofaciens from different habitats, of which 9 strains were downloaded from the NCBI RefSeq (National Center for Biotechnology Information RefSeq). The mean genome size of the 82 strains was 2.05 ± 0.25 Mbp, and the mean DNA G + C content was 37.47 ± 0.42%. The phylogenetic evolutionary tree for the core genes showed that all strains belonged to five clades with clear aggregation in relation to the isolation habitat; this indicated that the genetic evolution of L. kefiranofaciens was correlated to the isolation habitat. Analysis of the annotation results identified differences in the functional genes, carbohydrate active enzymes (CAZy) and bacteriocins amongst different isolated strains, which were related to the environment. Isolates from kefir grains had more enzymes for cellulose metabolism and a better ability to use vegetative substrates for fermentation, which could be used in feed production. Isolates from kefir grains also had fewer kinds of bacteriocin than isolates from sour milk and koumiss; helveticin J and lanthipeptide class I were not found in the isolates from kefir grains. The genomic characteristics and evolutionary process of L. kefiranofaciens were analyzed by comparative genomics and this paper explored the differences in the functional genes amongst the strains, aiming to provide a theoretical basis for the research and development of L. kefiranofaciens.
Preparation, Properties and Application in Electrospinning of Tremella Polysaccharide–Protein Complex
Authors: Zhao Xiaofang , Wang Zhiyu , Liu Yingxu , Han Zhaolian , Liu Tingting , Cheng Zhiqiang
Published: April 2023

In this paper, the effects of different proteins (soybean protein isolate, wheat protein hydrolysate, tremella protein) on the activity of tremella polysaccharide under different conditions were studied. The optimal protein–polysaccharide complex was determined by grafting degree and activity screening, and the microstructure and rheological properties were studied. The results showed that when the ratio of soybean protein isolate to tremella polysaccharide was 2:1 and the solution pH was 7, the optimal complex was obtained by heating at 90 °C for 4 h, and its grafting degree and antioxidant activity were the best. Studies have shown that tremella polysaccharide and soybean protein isolate complex (TFP-SPI) solution is pseudoplastic fluids. At the same time, tremella polysaccharide (TFP) and TFP-SPI were used for electrospinning to observe its spinnability. When the ratio of PVA/TFP-SPI/PL was 8:1:1, nanofibers with uniform diameter and good morphology were obtained. This paper provides a theoretical basis for the comprehensive utilization of tremella polysaccharide and its electrospun fiber can be used as active film for food packaging.
Using Kiln Dust to Improve Weak Subgrades for Pavement Construction: A Field Verification in Michigan, USA
Authors: Bandara Nishantha , Hettiarachchi Hiroshan , Jensen Elin , Binoy Tarik H. , Perera Rohan
Published: April 2023

Remove-and-replace with suitable material has been the primary solution used for improving subgrades in Michigan, USA, when weak subgrades are encountered in road construction. Considering the large extent of silty and clayey soils found in southeastern Michigan, where much of the population and the roads are located within the state, the earthwork associated with this solution is massive and expensive. The use of cement kiln dust (CKD) or lime kiln dust (LKD) as a subgrade stabilizer can be a cost-effective solution if there is sufficient evidence to prove that such stabilization is suitable for the soils and the climate in southeastern Michigan. This became the subject of a field and laboratory investigation carried out in Michigan and sponsored by the Michigan Department of Transportation. The findings from the laboratory portion of this research (which were published in a separate manuscript) proved CKD’s suitability for long-term stabilization and LKD’s capacity for being a stabilizer for short-term modifications of clayey soils found in southeastern Michigan. This study covers the field testing portion of this investigation. Two CKD-stabilized and another two LKD-stabilized subgrades, which were already in use for 4–6 years, were tested for strength, using dynamic cone penetration (DCP) tests. The California bearing ratios estimated from the DCP tests showed that the CKD-stabilized and LKD-stabilized subgrades could offer strength gains as high as 200–515% and 149–257% compared to in situ soils, respectively, even after 4–6 years in use.
Comprehensive Review of Acute Pancreatitis Pain Syndrome
Authors: Beiriger Jacob , Khan Adnan , Yan Brian , Ross Heather , Wang Makala , Carducci Michael , Parra Natalia Salinas , Chowdhury Salil , Erwin Ryan , Forrest Paul , Chen Sarah , Gerber Alexis
Published: April 2023

Pancreatitis is a condition that causes inflammation in the pancreas, an organ located behind the stomach. This condition often presents as neuropathic, inflammatory, and/or visceral pain. Acute pancreatitis is typically characterized by sudden and severe abdominal pain, often in the upper right part of the abdomen. The pain from pancreatitis can be caused by different mechanisms, such as abnormal activation of pancreatic zymogens or NF-κB mediated inflammation in the pancreas. The treatment of pancreatitis depends on its type, severity, and underlying cause. Hospitalization and medications are typically necessary, while in others, surgery may be required. Proper management of pancreatitis is essential, as it can help reduce the risk of complications and improve the patient’s quality of life. The literature on pancreatitis pain management evaluates systematic approaches and the effectiveness of various treatments, such as lidocaine, opioid agonists, ketamine, magnesium, endoscopic methods, spinal cord stimulation, and other novel treatments present opportunities for exploration in pancreatitis pain management.
Development of Multi-Inflow Prediction Ensemble Model Based on Auto-Sklearn Using Combined Approach: Case Study of Soyang River Dam
Authors: Lee Seoro , Kim Jonggun , Bae Joo Hyun , Lee Gwanjae , Yang Dongseok , Hong Jiyeong , Lim Kyoung Jae
Published: April 2023

Accurate prediction of dam inflows is essential for effective water resource management and dam operation. In this study, we developed a multi-inflow prediction ensemble (MPE) model for dam inflow prediction using auto-sklearn (AS). The MPE model is designed to combine ensemble models for high and low inflow prediction and improve dam inflow prediction accuracy. We investigated the impact of datasets assigned to flow regimes on the ensemble composition and compared the performance of the MPE model to an AS-based ensemble model developed using a conventional approach. Our findings showed that the MPE model outperformed the conventional model in predicting dam inflows during flood and nonflood periods, reducing the root mean square error (RMSE) and mean absolute error (MAE) by 22.1% and 24.9% for low inflows, and increasing the coefficient of determination (R2) and Nash–Sutcliffe efficiency (NSE) by 21.9% and 35.8%, respectively. These results suggest that the MPE model has the potential to improve water resource management and dam operation, benefiting both the environment and society. Overall, the methodology of this study is expected to contribute to the development of a robust ensemble model for dam inflow prediction in regions with high climate variability.
Father Involvement and Maternal Stress: The Mediating Role of Coparenting
Authors: d’Orsi Dora , Veríssimo Manuela , Diniz Eva
Published: April 2023

In recent years mothers have been finding themselves overwhelmed by the need to balance work and maternal duties. Father involvement in childcare has been related to a decrease in mother’s burden in childcare. This association is influenced by multiple aspects, such as the way parents share parenting perspectives and views about child rearing, i.e., coparenting. Nevertheless, the mediating role of coparenting on the association between father involvement and maternal stress has been overlooked. This will be addressed by the current study. A total of 254 Portuguese married/cohabiting mothers of preschool children reported on maternal stress, father involvement in caregiving, and coparenting. Data was collected in public and private schools through questionnaires and online through advertisements in social media. Results show that greater father involvement in direct care was associated with greater maternal stress, but this direction changes when mediated by cooperative coparenting. Moreover, results suggest that when mothers perceived less conflict in coparenting, greater father (in)direct care contributed to decreased maternal stress. The current study supports the notion that fathers involvement and parent’s cooperation account to mothers’ wellbeing, which will improve family dynamics.
Study of the Master Bay Plan Problem Based on a Twin 40-Foot Quay Crane Operation
Authors: Yang Yongsheng , Yu Haizhou , Zhu Xiaolin
Published: April 2023

During the process of container ship transportation, the berthing time cost of the ship in port is extremely important. Container allocation and quay crane (QC) operation greatly affect the berthing time. Currently, few scholars have combined import/export container allocation and QC operation, making it urgent to study ship stowage and QC collaboratively. In this paper, a mixed-integer programming model is established for the ship multi-port master bay plan problem (MP-MBPP), based on the operation of twin 40-foot QCs. The aim of this model is to minimize container rehandling and the time required for twin 40-foot QCs operation movement. A variety of new stowing strategies have been designed, and the improved coded particle swarm optimization algorithm (PSO) is used to optimize the position of double-bays, reducing the number and distance of QC movements and minimizing ship berthing time. By comparing the impact of different stowage rules on ship berthing time through examples, verification shows that the proposed stowage model and solving algorithm can obtain optimized solutions. Under the same initial conditions, the double-bay stowage based on the twin 40-foot QCs can improve operation efficiency by at least 20.3%, compared to the single-bay with ordinary QC, verifying the effectiveness of the proposed method.
A Metagenomic Survey of Wood Decay Fungi in the Urban Trees of Singapore
Authors: Hong Yan , Tan Jhing Yein , Xue Huiyu , Chow Mei Lun , Ali Mohamed , Ng Arthur , Leong Abigail , Yeo Jeb , Koh Shao Ming , Tang Megan Shi Ying , Lee Yan Yi , Choong Amy Mei Fun , Lee Serena Mei Lyn , Delli Ponti Riccardo , Chan Perry M. , Lee Daryl , Wong Jia Yih , Mutwil Marek , Fong Yok King
Published: April 2023

Mature tropical urban trees are susceptible to root and trunk rot caused by pathogenic fungi. A metagenomic survey of such fungi was carried out on 210 soil and tissue samples collected from 134 trees of 14 common species in Singapore. Furthermore, 121 fruiting bodies were collected and barcoded. Out of the 22,067 OTUs (operational taxonomic units) identified, 10,646 OTUs had annotation information, and most were either ascomycetes (63.4%) or basidiomycetes (22.5%). Based on their detection in the diseased tissues and surrounding soils and/or the presence of fruiting bodies, fourteen basidiomycetes (nine Polyporales, four Hymenochaetales, one Boletales) and three ascomycetes (three species of Scytalidium) were strongly associated with the diseased trees. Fulvifomes siamensis affected the largest number of tree species surveyed. The association of three fungi was further supported by in vitro wood decay studies. Genetic heterogeneity was common in the diseased tissues and fruiting bodies (Ganoderma species especially). This survey identified the common pathogenic fungi of tropical urban trees and laid the foundation for early diagnosis and targeted mitigation efforts. It also illustrated the complexity of fungal ecology and pathogenicity.
A Pipeline to Investigate Fungal–Fungal Interactions: Trichoderma Isolates against Plant-Associated Fungi
Authors: Dourou Marianna , La Porta Caterina Anna Maria
Published: April 2023

Soil fungi play essential roles in ecosystems, forming complex interaction networks with bacteria, yeasts, other fungi, or plants. In the framework of biocontrol strategies, Trichoderma-based fungicides are at the forefront of research as an alternative to synthetic ones. However, the impact of introducing new microbial strain(s) on the soil microbiome of a habitat is not well-explored. Aiming to identify a quantitative method to explore the complex fungal interactions, we isolated twelve fungi from three Italian vineyards and identified three strains of the Trichoderma genus in addition to nine more plant-associated fungi of different genera. Investigating in dual nucleation assay fungal–fungal interactions, we recognised two types of interaction: neutral or antagonistic. All three Trichoderma strains displayed a slight inhibitory behaviour against themselves. Trichoderma strains showed a mutually intermingling growth with Aspergillus aculeatus and Rhizopus arrhizus but antagonistic behaviour against the plant pathogens Alternaria sp., Fusarium ramigenum, and Botrytis caroliniana. Yet, in some cases, antagonistic behaviour by Trichoderma fungi was also observed against plant-promoting fungi (e.g., Aspergillus piperis and Penicillium oxalicum). Our study highlights the importance of studying the interactions between fungi, aiming to clarify better the impact of fungal-based biological fungicides in the soil communities, and offers a pipeline for further applications.
In Pursuit of a “Safe” Space for Political Participation: A Study of Selected WhatsApp Communities in Kenya
Authors: Ooko Gloria Anyango
Published: April 2023

Kenya has a history of media censorship and citizen surveillance. The advent of social media is laudable for contributing to freedom of speech and accountability in Kenya. Studies show that WhatsApp, through its group formation affordance, has largely contributed to political participation in Kenya and beyond. Kenyans see it as a ”safe” place away from government surveillance, a carry-over of authoritarian rule. This is especially so since WhatsApp is considered as private media compared to other social media platforms. For instance, many political bloggers on Twitter and Facebook perceived to be anti-establishment have been arrested and charged, but only accountable arrests have been made in connection to WhatsApp activities despite government threats. This article argues that although actors, both human and non-human, act to construct a safe community for political participation on WhatsApp, modes of exclusion and inclusion arise from the socio-technological interaction which could pose a threat to the newly founded ”safe space”. Though the study site is in Kenya, this article grapples with issues other scholars of social media and politics grapple with globally, that is, safety, security, surveillance, and political participation, among others.
The Role of BDNF as a Biomarker in Cognitive and Sensory Neurodegeneration
Authors: Pisani Anna , Paciello Fabiola , Del Vecchio Valeria , Malesci Rita , De Corso Eugenio , Cantone Elena , Fetoni Anna Rita
Published: April 2023

Brain-derived neurotrophic factor (BDNF) has a crucial function in the central nervous system and in sensory structures including olfactory and auditory systems. Many studies have highlighted the protective effects of BDNF in the brain, showing how it can promote neuronal growth and survival and modulate synaptic plasticity. On the other hand, conflicting data about BDNF expression and functions in the cochlear and in olfactory structures have been reported. Several clinical and experimental research studies showed alterations in BDNF levels in neurodegenerative diseases affecting the central and peripheral nervous system, suggesting that BDNF can be a promising biomarker in most neurodegenerative conditions, including Alzheimer’s disease, shearing loss, or olfactory impairment. Here, we summarize current research concerning BDNF functions in brain and in sensory domains (olfaction and hearing), focusing on the effects of the BDNF/TrkB signalling pathway activation in both physiological and pathological conditions. Finally, we review significant studies highlighting the possibility to target BDNF as a biomarker in early diagnosis of sensory and cognitive neurodegeneration, opening new opportunities to develop effective therapeutic strategies aimed to counteract neurodegeneration.
Landscapes of the Yazd-Ardakan Plain (Iran) and the Assessment of Geotourism—Contribution to the Promotion and Practice of Geotourism and Ecotourism
Authors: Dincă Iulian , Keshavarz Seyede Razieh , Almodaresi Seyed Ali
Published: April 2023

The attractions and capabilities of geomorphosites are among the unique assets of each country, and their identification, classification, and planning have great importance for the development of tourism. The purpose of this research was to identify, quantitatively analyse, and classify landforms treated as geosites and landscapes of Yazd Province, using the Pralong method. The present study is a descriptive analytical research based on library studies and field surveys. After determining the study area using satellite imagery, six geomorphosites were selected. Using the Pralong method, six geomorphosites were evaluated: Chak Chak, Mountain Eagle, Siahkooh, Shirkooh, Qanat, and Barfkhane Tezerjan. In this method, using the extraction of collected data from the questionnaires completed by 41 geotourism experts in the first stage, the four grades that were evaluated in terms of potential capability of geomorphosites include the appearance aesthetic, scientific, historical-cultural, and socio-economic variables, and in the next step, two variables of productivity value and quality of productivity were evaluated. The results of evaluations showed that the geomorphosites Chak Chak and Barfkhane Tezerjan had the highest score (0.62) and are the best geomorphosites for converting to geotourism and ecotourism applications, and they have high potential for attracting tourists. The second place was dedicated to the Shirkooh geomorphosite, which is considerable in terms of the average tourism grade. The best average productivity value belonged to the Chak Chak geomorphosite with 0.52, and the last one was Mountain Eagle with 0.32. All six attractions in this study had a medium grade in the qualitative scale index, meaning that they have good potential in geotouristic and ecotouristic points of view and could be improved by regional planning. Therefore, the results of this study can be used by local managers and planners to develop and promote geotourism and ecotourism.
Proximity to Neighborhood Services and Property Values in Urban Area: An Evaluation through the Hedonic Pricing Model
Authors: Aziz Asad , Anwar Muhammad Mushahid , Abdo Hazem Ghassan , Almohamad Hussein , Al Dughairi Ahmed Abdullah , Al-Mutiry Motrih
Published: April 2023

Neighborhood services, property attributes, and their associated amenities have positive impacts on land and property values. This impact is estimated by the hedonic pricing model, which is considered an effective method used in previous studies for such evaluations. The study uses Geographical Information Science by digitizing the point of interest in the study area for spatial modeling of data collection points and multi-linear regression as a statistical analysis of hedonic measurements. The hedonic measurements include the data of structural, locational, environmental, and community attributes of a property at a given time and space at a walkable distance from the neighborhood for measuring proximity. The results of the study are represented through the summary of the regression model, which expresses the impact of every individual variable on the entire value of the property, and the appropriateness of the results is shown by values R, R2, and adjusted R2. The result of the study concluded that property characteristics are varied from location to location, and that is why it is difficult to measure the exact market values, particularly in areas that lack urban planning and heterogeneous data. Research on such burning issues is essential for sustainable urban development.
AdaBoost Algorithm Could Lead to Weak Results for Data with Certain Characteristics
Authors: Hornyák Olivér , Iantovics László Barna
Published: April 2023

There are many state-of-the-art algorithms presented in the literature that perform very well on some evaluation data but are not studied with the data properties on which they are applied; therefore, they could have low performance on data with other characteristics. In this paper, the results of comprehensive research regarding the prediction with the frequently applied AdaBoost algorithm on real-world sensor data are presented. The chosen dataset has some specific characteristics, and it contains error and failure data of several machines and their components. The research aims to investigate whether the AdaBoost algorithm has the capability of predicting failures, thus providing the necessary information for monitoring and condition-based maintenance (CBM). The dataset is analyzed, and the principal characteristics are presented. Performance evaluations of the AdaBoost algorithm that we present show a prediction capability below expectations for this algorithm. The specificity of this study is that it indicates the limitation of the AdaBoost algorithm, which could perform very well on some data, but not so well on others. Based on this research and some others that we performed, and actual research from worldwide studies, we must outline that the mathematical analysis of the data is especially important to develop or adapt algorithms to be very efficient.
Fractional Hamilton’s Canonical Equations and Poisson Theorem of Mechanical Systems with Fractional Factor
Authors: Wang Linli , Fu Jingli , Li Liangliang
Published: April 2023

Because of the nonlocal and nonsingular properties of fractional derivatives, they are more suitable for modelling complex processes than integer derivatives. In this paper, we use a fractional factor to investigate the fractional Hamilton’s canonical equations and fractional Poisson theorem of mechanical systems. Firstly, a fractional derivative and fractional integral with a fractional factor are presented, and a multivariable differential calculus with fractional factor is given. Secondly, the Hamilton’s canonical equations with fractional derivative are obtained under this new definition. Furthermore, the fractional Poisson theorem with fractional factor is presented based on the Hamilton’s canonical equations. Finally, two examples are given to show the application of the results.
Tensor Train-Based Higher-Order Dynamic Mode Decomposition for Dynamical Systems
Authors: Li Keren , Utyuzhnikov Sergey
Published: April 2023

Higher-order dynamic mode decomposition (HODMD) has proved to be an efficient tool for the analysis and prediction of complex dynamical systems described by data-driven models. In the present paper, we propose a realization of HODMD that is based on the low-rank tensor decomposition of potentially high-dimensional datasets. It is used to compute the HODMD modes and eigenvalues to effectively reduce the computational complexity of the problem. The proposed extension also provides a more efficient realization of the ordinary dynamic mode decomposition with the use of the tensor-train decomposition. The high efficiency of the tensor-train-based HODMD (TT-HODMD) is illustrated by a few examples, including forecasting the load of a power system, which provides comparisons between TT-HODMD and HODMD with respect to the computing time and accuracy. The developed algorithm can be effectively used for the prediction of high-dimensional dynamical systems.
Necrotizing Fasciitis—Severe Complication of Bullous Pemphigoid: A Systematic Review, Risk Factors, and Treatment Challenges
Authors: Stojičić Milan , Jurišić Milana , Marinković Milana , Karamarković Miodrag , Jovanović Milan , Jeremić Jelena , Jović Marko , Vlahović Aleksandar , Jovanović Mladen , Radenović Kristina , Jovićević Nikola , Vasović Dolika
Published: April 2023

Background and objectives: Bullous pemphigoid (BP), the most common subepidermal autoimmune skin blistering disease (AIBD) has an estimated annual incidence of 2.4 to 42.8 new cases per million in different populations, designating it an orphan disease. Characterized by disruption of the skin barrier combined with therapy-induced immunosuppression, BP could pose a risk for skin and soft tissue infections (SSTI). Necrotizing fasciitis (NF) is a rare necrotizing skin and soft tissue infection, with a prevalence of 0.40 cases per 100,000 to 15.5 cases per 100,000 population, often associated with immunosuppression. Low incidences of NF and BP classify them both as rare diseases, possibly contributing to the false inability of making a significant correlation between the two. Here, we present a systematic review of the existing literature related to the ways these two diseases correlate. Materials and methods: This systematic review was conducted according to the PRISMA guidelines. The literature review was conducted using PubMed (MEDLINE), Google Scholar, and SCOPUS databases. The primary outcome was prevalence of NF in BP patients, while the secondary outcome was prevalence and mortality of SSTI in BP patients. Due to the scarcity of data, case reports were also included. Results: A total of 13 studies were included, six case reports of BP complicated by NF with six retrospective studies and one randomized multicenter trial of SSTIs in BP patients. Conclusions: Loss of skin integrity, immunosuppressive therapy, and comorbidities commonly related to BP patients are risk factors for necrotizing fasciitis. Evidence of their significant correlation is emerging, and further studies are deemed necessary for the development of BP-specific diagnostic and treatment protocols.
Identification of Genetic Markers Linked to The Activity of Indoleamine 2,3-Dioxygenase and Kidney Function
Authors: Kim Hye-Rim , Jin Hyun-Seok , Eom Yong-Bin
Published: April 2023

Indoleamine 2,3-dioxygenase (IDO) is a tryptophan-degrading enzyme belonging to the kynurenine pathway. IDO activity has been suggested as a potential biomarker for early diagnosis of chronic kidney disease (CKD). The aim of this study was to perform coincident association analysis to gain genetic insights into the correlation between IDO activity and CKD. This study evaluated the association between IDO activity and CKD using the Korea Association REsource (KARE) cohort. Logistic and linear regression were used to analyze CKD and quantitative phenotypes such as IDO and estimated glomerular filtration rate (eGFR). Our results identified 10 single nucleotide polymorphisms (SNPs) that were coincidently associated with both IDO and CKD (p < 0.001). Among them, rs6550842, rs77624055, and rs35651150 were selected as potential candidates after excluding SNPs with insufficient evidence for having an association with IDO or CKD. Further expression quantitative trait loci (eQTL) analysis for variants at selected loci showed that rs6550842 and rs35651150 significantly affected the expression of NKIRAS1 and SH2D4A genes in human tissues, respectively. Additionally, we highlighted that the NKIRAS1 and BMP6 genes were correlated with IDO activity and CKD through signaling pathways associated with inflammation. Our data suggest that NKIRAS1, SH2D4A, and BMP6 were potential causative genes affecting IDO activity and CKD through integrated analysis. Identifying these genes could aid in early detection and treatment by predicting the risk of CKD associated with IDO activity.
Cefiderocol-Based versus Colistin-Based Regimens for Severe Carbapenem-Resistant Acinetobacter baumannii Infections: A Propensity Score-Weighted, Retrospective Cohort Study during the First Two Years of the COVID-19 Pandemic
Authors: Mazzitelli Maria , Gregori Dario , Sasset Lolita , Trevenzoli Marco , Scaglione Vincenzo , Lo Menzo Sara , Marinello Serena , Mengato Daniele , Venturini Francesca , Tiberio Ivo , Navalesi Paolo , Cattelan Annamaria
Published: April 2023

Background. A large increase in multi-drug-resistant Acinetobacter baumannii, especially carbapenem-resistant strains, occurred during the first two years of the COVID-19 pandemic, posing important challenges in its treatment. Cefiderocol appeared to be a good option for the treatment of Carbapenem-resistant Acinetobacter baumannii (CR-Ab), but to date, the guidelines and evidence available are conflicting. Methods. We retrospectively included a group of patients with CR-Ab infections (treated with colistin- or cefiderocol-based regimens) at Padua University Hospital (August 2020–July 2022) and assessed predictors of 30-day mortality, and differences in microbiological and clinical treatment. To evaluate the difference in outcomes, accounting for the imbalance in antibiotic treatment allocation, a propensity score weighting (PSW) approach was adopted. Results. We included 111 patients, 68% males, with a median age of 69 years (IQR: 59–78). The median duration of antibiotic treatment was 13 days (IQR:11–16). In total, 60 (54.1%) and 51 (45.9%) patients received cefiderocol- and colistin-based therapy, respectively. Notably, 53 (47.7%) patients had bloodstream infections, while 58 (52.3%) had pneumonia. Colistin was combined in 96.1%, 80.4%, and 5.8% of cases with tigecycline, meropenem, and fosfomycin, respectively. Cefiderocol was combined in 13.3%, 30%, and 18.3% of cases with fosfomycin, tigecycline, and meropenem, respectively. At the baseline, the two treatment groups significantly differed in age (patients treated with colistin were significantly older), the prevalence of diabetes and obesity (more frequent in the group treated with colistin), length of stay (longer in the group receiving cefiderocol), and type of infection (BSI were more frequent in the group receiving cefiderocol). The proportion of patients who developed acute kidney injury was significantly higher in the colistin group. By using PSW, no statistically significant differences emerged for mortality or clinical and microbiological cure between the two groups. No independent predictors were detected for hospital mortality or clinical cure, while for the length of stay, the only selected predictor was age, with a non-linear effect (p-value 0.025 for non-linearity) on the prolongation of hospital stay of 0.25 days (95% CI 0.10–0.39) at increasing ages (calculated over the IQR). Conclusions. Cefiderocol treatment did not differ in terms of main outcomes and safety profile from colistin-based regimens. More prospective studies with a larger number of patients are required to confirm our results.
Chemical Characterization and Metagenomic Identification of Endophytic Microbiome from South African Sunflower (Helianthus annus) Seeds
Authors: Balogun Fatai Oladunni , Abdulsalam Rukayat Abiola , Ojo Abidemi Oluranti , Cason Errol , Sabiu Saheed
Published: April 2023

Helianthus annus (sunflower) is a globally important oilseed crop whose survival is threatened by various pathogenic diseases. Agrochemical products are used to eradicate these diseases; however, due to their unfriendly environmental consequences, characterizing microorganisms for exploration as biocontrol agents are considered better alternatives against the use of synthetic chemicals. The study assessed the oil contents of 20 sunflower seed cultivars using FAMEs-chromatography and characterized the endophytic fungi and bacteria microbiome using Illumina sequencing of fungi ITS 1 and bacteria 16S (V3–V4) regions of the rRNA operon. The oil contents ranged between 41–52.8%, and 23 fatty acid components (in varied amounts) were found in all the cultivars, with linoleic (53%) and oleic (28%) acids as the most abundant. Ascomycota (fungi) and Proteobacteria (bacteria) dominated the cultivars at the phyla level, while Alternaria and Bacillus at the genus level in varying abundance. AGSUN 5102 and AGSUN 5101 (AGSUN 5270 for bacteria) had the highest fungi diversity structure, which may have been contributed by the high relative abundance of linoleic acid in the fatty acid components. Dominant fungi genera such as Alternaria, Aspergillus, Aureobasidium, Alternariaste, Cladosporium, Penicillium, and bacteria including Bacillus, Staphylococcus, and Lactobacillus are established, providing insight into the fungi and bacteria community structures from the seeds of South Africa sunflower.
Disinfection, Sterilization, and Decontamination of Pathogens in Medicine
Authors: Sakudo Akikazu
Published: April 2023

The ongoing coronavirus disease (COVID-19) pandemic caused by SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is putting our public health services under enormous strain [...]
mRNA Sequencing Reveals Upregulation of Glutathione S-Transferase Genes during Acanthamoeba Encystation
Authors: de Obeso Fernández del Valle Alvaro , Scheckhuber Christian Quintus , Chavaro-Pérez David Armando , Ortega-Barragán Erandi , Maciver Sutherland K.
Published: April 2023

Some members of the genus Acanthamoeba are facultative pathogens typically with a biphasic lifestyle: trophozoites and cysts. Acanthamoeba is capable of infecting the cornea, resulting in Acanthamoeba keratitis. The cyst is one of the key components for the persistence of infection. Gene expression during Acanthamoeba encystation showed an upregulation of glutathione S-transferase (GST) genes and other closely related proteins. mRNA sequencing showed GST, and five genes with similar sequences were upregulated after 24 h of inducing encystation. GST overexpression was verified with qPCR using the HPRT and the cyst-specific protein 21 genes as controls. The GST inhibitor ethacrynic acid was found to decrease cell viability by 70%. These results indicate a role of GST in successful encystation, possibly by maintaining redox balance. GST and associated processes could be targets for potential treatments alongside regular therapies to reduce relapses of Acanthamoeba infection.
Efficient and Selective Removal of Organic Cationic Dyes by Peel of Brassica juncea Coss. var. gemmifera Lee et Lin-Based Biochar
Authors: Shi Tao-Tao , Jiang Xin-Yu , Yu Jin-Gang
Published: April 2023

The design and preparation of cheaper, greener and more efficient adsorbents is essential for the removal of pollutants by adsorption. In this study, biochar was prepared from peel of Brassica juncea var. gemmifera Lee et Lin (PoBJ) using a facile, low-temperature and vacuum pyrolysis, and the adsorption mechanism toward organic dyes in aqueous solution was elucidated. The adsorbent was characterized by XPS, FT-IR and SEM, and zeta potential techniques. The adsorption ability of PoBJ biochar for cationic dyes (methylene blue, brilliant green, calcein-safranine, azure I, rhodamine B), anionic dyes (alizarin yellow R), and neutral dyes (neutral red) revealed that the biochar exhibited adsorption selectivity toward cationic dyes. The effects of different factors on the adsorption performance of PoBJ biochar, as well as the adsorption kinetics and thermodynamics, were further investigated by using methylene blue as the model adsorbate. These factors included temperature, pH, contact time and dye concentration. The experimental results showed that BJ280 and BJ160 (prepared at 280 °C and 160 °C, respectively) possessed relatively higher adsorption capacity of 192.8 and 167.40 mg g−1 for methylene blue (MB), respectively, demonstrating the possibility of utilization of PoBJ biochar as a superior bio-adsorbent. The experimental data of BJ160 toward MB were correlated with various kinetic and isothermal models. The results indicated that the adsorption process was consistent with the Langmuir isotherm model and nonlinear pseudo-second-order kinetic model. Thermodynamic parameters indicated that the adsorption of MB onto BJ160 was exothermic. Thus, the low-temperature prepared PoBJ biochar was an environmentally friendly, economic and efficient cationic dye adsorbent.
Targeting B7-H3—A Novel Strategy for the Design of Anticancer Agents for Extracranial Pediatric Solid Tumors Treatment
Authors: Rasic Petar , Jeremic Marija , Jeremic Rada , Dusanovic Pjevic Marija , Rasic Milica , Djuricic Slavisa M. , Milickovic Maja , Vukadin Miroslav , Mijovic Tanja , Savic Djordje
Published: April 2023

Recent scientific data recognize the B7-H3 checkpoint molecule as a potential target for immunotherapy of pediatric solid tumors (PSTs). B7-H3 is highly expressed in extracranial PSTs such as neuroblastoma, rhabdomyosarcoma, nephroblastoma, osteosarcoma, and Ewing sarcoma, whereas its expression is absent or very low in normal tissues and organs. The influence of B7-H3 on the biological behavior of malignant solid neoplasms of childhood is expressed through different molecular mechanisms, including stimulation of immune evasion and tumor invasion, and cell-cycle disruption. It has been shown that B7-H3 knockdown decreased tumor cell proliferation and migration, suppressed tumor growth, and enhanced anti-tumor immune response in some pediatric solid cancers. Antibody-drug conjugates targeting B7-H3 exhibited profound anti-tumor effects against preclinical models of pediatric solid malignancies. Moreover, B7-H3-targeting chimeric antigen receptor (CAR)-T cells demonstrated significant in vivo activity against different xenograft models of neuroblastoma, Ewing sarcoma, and osteosarcoma. Finally, clinical studies demonstrated the potent anti-tumor activity of B7-H3-targeting antibody-radioimmunoconjugates in metastatic neuroblastoma. This review summarizes the established data from various PST-related studies, including in vitro, in vivo, and clinical research, and explains all the benefits and potential obstacles of targeting B7-H3 by novel immunotherapeutic agents designed to treat malignant extracranial solid tumors of childhood.
Editorial: Special Issue “Liquid Crystals 2020”
Authors: Cîrcu Viorel , Manaila-Maximean Doina , Loiko Valery A.
Published: April 2023

This Special Issue, entitled “Liquid Crystals 2020”, is a collection of ten original research papers, including two feature papers, on theoretical and experimental advanced studies of liquid crystal science and technology [...]
Augmented Reality for Supporting Workers in Human–Robot Collaboration
Authors: Moya Ana , Bastida Leire , Aguirrezabal Pablo , Pantano Matteo , Abril-Jiménez Patricia
Published: April 2023

This paper discusses the potential benefits of using augmented reality (AR) technology to enhance human–robot collaborative industrial processes. The authors describe a real-world use case at Siemens premises in which an AR-based authoring tool is used to reduce cognitive load, assist human workers in training robots, and support calibration and inspection tasks during assembly tasks. The study highlights the potential of AR as a solution for optimizing human–robot collaboration and improving productivity. The article describes the methodology used to deploy and evaluate the ARContent tool, which demonstrated improved usability, reduced task load, and increased efficiency in the assembly process. However, the study is limited by the restricted availability of workers and their knowledge of assembly tasks with robots. The authors suggest that future work should focus on testing the ARContent tool with a larger user pool and improving the authoring tool based on the shortcomings identified during the study. Overall, this work shows the potential for AR technology to revolutionize industrial processes and improve collaboration between humans and robots.
Health-Related Quality of Life in Childhood and Adolescence: The Interrelation with Level of Adherence to Mediterranean Diet and Dietary Trajectories: Highlights from the DIATROFI Program (2021–2022)
Authors: Diamantis Dimitrios V. , Katsas Konstantinos , Kalogiannis Dimitrios , Kouvari Matina , Linos Athena
Published: April 2023

Children’s dietary habits can have a key role in contributing to an improvement in their Health-Related Quality of Life (HRQoL). This study aims to assess the connection between Mediterranean diet adherence and HRQoL in a sample of Greek students, utilizing data from the DIATROFI program. The parents of 3774 students (mean age 7.8 (2.6) years) reported their children’s HRQoL and level of adherence to the Mediterranean dietary pattern at the beginning and end of the 2021–2022 school year. At baseline, most students’ adherence was characterized as moderate (55.2%) or high (25.1%). Students with moderate or high adherence tο the Mediterranean diet were less likely to report a total HRQoL below the median at baseline (OR = 0.56, 95%CI = 0.44, 0.70), along with all its dimensions (physical, emotional, social, and school functions). A one-unit improvement in KIDMED score (beginning–end of schoolyear) was associated with the likelihood of an improvement in total HRQoL (beginning–end of schoolyear) (OR = 1.09, 95%CI = 1.02, 1.17), emotional (OR = 1.09, 95%CI = 1.02, 1.17), and social functions (OR = 1.13, 95%CI = 1.05, 1.22), but not with physical and school functions. The health benefits of the Mediterranean diet in children may not be limited to disease prevention but also extend to their overall wellbeing.
Effects of Intra-Amniotic Administration of the Hydrolyzed Protein of Chia (Salvia hispanica L.) and Lacticaseibacillus paracasei on Intestinal Functionality, Morphology, and Bacterial Populations, In Vivo (Gallus gallus)
Authors: Mishima Marcella Duarte Villas , Martino Hércia Stampini Duarte , Kolba Nikolai , Shah Drashti Dhirenkumar , Grancieri Mariana , Dos Santos Karina Maria Olbrich , Lima Janine Passos , Da Silva Bárbara Pereira , Gonzalez de Mejia Elvira , Tako Elad
Published: April 2023

As a protein source, chia contains high concentrations of bioactive peptides. Probiotics support a healthy digestive tract and immune system. Our study evaluated the effects of the intra-amniotic administration of the hydrolyzed chia protein and the probiotic Lacticaseibacillus paracasei on intestinal bacterial populations, the intestinal barrier, the inflammatory response, and brush border membrane functionality in ovo (Gallus gallus). Fertile broiler (Gallus gallus) eggs (n = 9/group) were divided into 5 groups: (NI) non-injected; (H2O) 18 MΩ H2O; (CP) 10 mg/mL hydrolyzed chia protein; (CPP) 10 mg/mL hydrolyzed chia protein + 106 colony-forming unit (CFU) L. paracasei; (P) 106 CFU L. paracasei. The intra-amniotic administration was performed on day 17 of incubation. At hatching (day 21), the animals were euthanized, and the duodenum and cecum content were collected. The probiotic downregulated the gene expression of NF-κβ, increased Lactobacillus and E. coli, and reduced Clostridium populations. The hydrolyzed chia protein downregulated the gene expression of TNF-α, increased OCLN, MUC2, and aminopeptidase, reduced Bifidobacterium, and increased Lactobacillus. The three experimental groups improved in terms of intestinal morphology. The current results suggest that the intra-amniotic administration of the hydrolyzed chia protein or a probiotic promoted positive changes in terms of the intestinal inflammation, barrier, and morphology, improving intestinal health.