bluuebunny/crossref_metadata_2025 huggingface dataset:
Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography
Authors: Sansone Mario , Fusco Roberta , Grassi Francesca , Gatta Gianluca , Belfiore Maria Paola , Angelone Francesca , Ricciardi Carlo , Ponsiglione Alfonso Maria , Amato Francesco , Galdiero Roberta , Grassi Roberta , Granata Vincenza , Grassi Roberto
Published: January 2023

Background: breast cancer (BC) is the world’s most prevalent cancer in the female population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made to set screening campaigns, early detection programs, and increasingly targeted treatments led to significant improvement in patients’ survival. The Full-Field Digital Mammograph (FFDM) is considered the gold standard method for the early diagnosis of BC. From several previous studies, it has emerged that breast density (BD) is a risk factor in the development of BC, affecting the periodicity of screening plans present today at an international level. Objective: in this study, the focus is the development of mammographic image processing techniques that allow the extraction of indicators derived from textural patterns of the mammary parenchyma indicative of BD risk factors. Methods: a total of 168 patients were enrolled in the internal training and test set while a total of 51 patients were enrolled to compose the external validation cohort. Different Machine Learning (ML) techniques have been employed to classify breasts based on the values of the tissue density. Textural features were extracted only from breast parenchyma with which to train classifiers, thanks to the aid of ML algorithms. Results: the accuracy of different tested classifiers varied between 74.15% and 93.55%. The best results were reached by a Support Vector Machine (accuracy of 93.55% and a percentage of true positives and negatives equal to TPP = 94.44% and TNP = 92.31%). The best accuracy was not influenced by the choice of the features selection approach. Considering the external validation cohort, the SVM, as the best classifier with the 7 features selected by a wrapper method, showed an accuracy of 0.95, a sensitivity of 0.96, and a specificity of 0.90. Conclusions: our preliminary results showed that the Radiomics analysis and ML approach allow us to objectively identify BD.
The New Kid on the Block: Online Adaptive Radiotherapy in the Treatment of Gynecologic Cancers
Authors: Yen Allen , Shen Chenyang , Albuquerque Kevin
Published: January 2023

Online adaptive radiation is a new and exciting modality of treatment for gynecologic cancers. Traditional radiation treatments deliver the same radiation plan to cancers with large margins. Improvements in imaging, technology, and artificial intelligence have made it possible to account for changes between treatments and improve the delivery of radiation. These advances can potentially lead to significant benefits in tumor coverage and normal tissue sparing. Gynecologic cancers can uniquely benefit from this technology due to the significant changes in bladder, bowel, and rectum between treatments as well as the changes in tumors commonly seen between treatments. Preliminary studies have shown that online adaptive radiation can maintain coverage of the tumor while sparing nearby organs. Given these potential benefits, numerous clinical trials are ongoing to investigate the clinical benefits of online adaptive radiotherapy. Despite the benefits, implementation of online adaptive radiotherapy requires significant clinical resources. Additionally, the timing and workflow for online adaptive radiotherapy is being optimized. In this review, we discuss the history and evolution of radiation techniques, the logistics and implementation of online adaptive radiation, and the potential benefits of online adaptive radiotherapy for gynecologic cancers.
Association between Consultation by a Comprehensive Integrated Palliative Care Program and Quality of End-of-Life Care in Patients with Advanced Cancer in Edmonton, Canada
Authors: Robertson Cara , Watanabe Sharon M. , Sinnarajah Aynharan , Potapov Alexei , Faily Viane , Tarumi Yoko , Baracos Vickie E.
Published: January 2023

Literature assessing the impact of palliative care (PC) consultation on aggressive care at the end of life (EOL) within a comprehensive integrated PC program is limited. We retrospectively reviewed patients with advanced cancer who received oncological care at a Canadian tertiary center, died between April 2013 and March 2014, and had access to PC consultation in all healthcare settings. Administrative databases were linked, and medical records reviewed. Composite score for aggressive EOL care was calculated, assigning a point for each of the following: ≥2 emergency room visits, ≥2 hospitalizations, hospitalization >14 days, ICU admission, and chemotherapy administration in the last 30 days of life, and hospital death. Multivariable logistic regression was adjusted for age, sex, income, cancer type and PC consultation for ≥1 aggressive EOL care indicator. Of 1414 eligible patients, 1111 (78.6%) received PC consultation. In multivariable analysis, PC consultation was independently associated with lower odds of ≥1 aggressive EOL care indicator (OR 0.49, 95% CI 0.38–0.65, p < 0.001). PC consultation >3 versus ≤3 months before death had a greater effect on lower aggressive EOL care (mean composite score 0.59 versus 0.88, p < 0.001). We add evidence that PC consultation is associated with less aggressive care at the EOL for patients with advanced cancer.
Real-Life Effectivity of Dose Intensity Reduction of First-Line mFOLFIRI-Based Treatment of Metastatic Colorectal Cancers: Sometimes Less Is More
Authors: Pécsi Balázs , Mangel László
Published: January 2023

Aim: The key purposes of the treatment of metastatic malignancies are to extend survival and maintain the quality of life. Recently it has been emphasized in the scientific literature that the maintenance of maximal dose intensity is not always beneficial. Method: We examined the effectiveness of first-line mFOLFIRI-based treatments used in mCRC indication in 515 patients, treated between 1 January 2013 and 31 December 2018 at the Department of Oncotherapy of the University of Pécs, on a basis of real-world retrospective data analysis. We studied the effect of decreased dose intensity treatment modifications on patient survival. Results: 45% of all patients achieved the optimal relative dose intensity (RDI) of 85%, and the median progression-free and overall survival (mPFS, mOS) were 199 and 578 days, compared to 322 and 743 days, (mPFS p < 0.0002, 1 y (year) PFS OR (odds ratio) 0.39 (95% CI: 0.26–0.56) and mOS p = 0.0781, 2 yrs OS OR 0.58 (95% CI: 0.39–0.85), respectively) in the group of patients not achieving the RDI of 85%. Conclusions: Decreased dose intensity did not reduce the effectiveness of treatment; in fact, there was a significant improvement in most of the analyzed parameters. The option of reduced dose intensity, which shows the same or even better results with less toxicity, should definitely be considered in the future palliative treatment of mCRC patients.
Navigating the Current Landscape of Non-Clear Cell Renal Cell Carcinoma: A Review of the Literature
Authors: John Alexius , Spain Lavinia , Hamid Anis A.
Published: January 2023

Non-clear cell renal cell carcinoma (nccRCC) is an entity comprised of a heterogeneous constellation of RCC subtypes. Genomic profiling has broadened our understanding of molecular pathogenic mechanisms unique to individual nccRCC subtypes. To date, clinical trials evaluating the use of immunotherapies and targeted therapies have predominantly been conducted in patients with clear cell histology. A comprehensive review of the literature has been undertaken in order to describe molecular pathogenic mechanisms pertaining to each nccRCC subtype, and concisely summarise findings from therapeutic trials conducted in the nccRCC space.
Itching for an Answer: Gall-Forming Biological Control Agent Contains an Itch Mite Species Found at Localities Known for Periodic ‘Bite Outbreaks’
Authors: Veldtman Ruan , Ueckermann Eddie , Liebenberg Kayla
Published: January 2023

Biological control is an attractive option for controlling invasive plant species that are difficult to manage otherwise. However, the release of a non-native species as a biological control agent carries risks. The most obvious risk relates to impacts on plant species other than the plant species targeted for control. There are, however, also other risks. We report on a potential unintended impact of Dasineura dielsi, a gall-forming biological control agent that was released against Acacia cyclops in South Africa in 2003. We confirmed that the galls formed by D. dielsi on A. cyclops harbor mites in the genus Pyemotes (P. cf. ventricosus) within their gall structures, which are parasites of various insect species, but are also known to cause dermatitis in humans. Sporadic biting incidences have been reported in at least two locations in South Africa. The implications are that manual clearing of A. cyclops may expose humans to itch mites and to risks of bites. Gall-forming insects and fungi are known to create niches for herbivores and other gall-associated fauna. Although every possible food web interaction cannot be predicted, enough evidence exists to require that agent screening to include non-target risks other than those pertaining to non-host plants. Testing only whether agents are compromised by interactions with non-target plant species is not sufficient during agent evaluation. If such associations are known from the native range and therefore can form in the introduced range, then any known risk to health and socio-economic activities should be disclosed. We argue for the general development of objective assessment of such risks compared with the benefits potentially accruing from successful biological control of the target plant.
Effects of Different Fertilizers on Soil Microbial Diversity during Long-Term Fertilization of a Corn Field in Shanghai, China
Authors: Sha Chenyan , Wu Jian , Wu Jianqiang , Ye Chunmei , Shen Cheng , Su Jinghua , Wang Min
Published: January 2023

The long-term applications of different fertilizers (chicken manure, swine manure, and organic fertilizer) on the microorganisms of a corn field were investigated. The microbial communities during four periods (seedling, three-leaf, filling and mature periods) were comprehensively studied with molecular biology technology. Results showed that most nutrient contents (organic matter, nitrogen, phosphorus, and potassium) and levels of several heavy metals (As, Pb, and Cr) in the chicken and swine manures were higher than those in the organic fertilizer. The alpha diversity varied during the long-term fertilization, and the chicken manure was the best fertilizer to maintain the abundance of microorganisms. The microbial community of soil changes over time, regardless of the addition of different fertilizers. The correlations between environmental factors and microbial communities revealed that nutrient substances (available nitrogen, available potassium, and NO3-N) were the most significant characteristics with the chicken and swine manures, while organic matter and nitrogen exhibited similar effects on the microbial structure with the organic fertilizer. The Pearson correlations of environmental factors on genus were significantly different in the organic fertilizer tests compared with the others, and Pseudomonas, Methyloligellaceae, Flavobacterium, and Bacillus showed significant correlations with the organic matter. This study will provide a theoretical basis for improving land productivity and sustainable development in corn fields.
Taxonomic Revision of Tribe Aleurocanthini Takahashi 1954 stat. rev. Using Consortium Gene Analysis (Mito-Nuclear-Primary Endosymbiont) with the First Evidence for Mitochondrial Recombination in Whitefly (Hemiptera: Aleyrodidae)
Authors: Andrianto Eko , Kasai Atsushi
Published: January 2023

The discovery of the Aleurocanthus cf. Aleurocanthus spiniferus (Tea spiny whitefly spiniferus morphotype; previously found in Tokyo) for the first time in Shizuoka Prefecture raised the possibility that this species had invaded Honshu Island, Japan. Unlike the allied species, Aleurocanthus spiniferus and A. camelliae, which have been intercepted from China to Japan, the origin of the current species remains unclear. Despite the status of this species as a minor pest on the ornamental plant, Eurya japonica, the cryptic diversity among the black spiny whitefly is fascinating to be elucidated, specifically how the primary endosymbiont of whiteflies, Portiera aleyrodidarum, coevolved and contributed to the classification of whiteflies. The current study examines the taxonomic status of five species of whiteflies, i.e., A. spiniferus (Quaintance), Aleurocanthus aff. A. camelliae, Aleurocanthus cf. A. spiniferus, A. camelliae Kanmiya and Kasai, Aleurotrachelus camelliae Kuwana, and A. ishigakiensis Takahashi. Using consortium molecular typing targeting mitochondrial DNA (COI and 16S of mitoribosome), the nuclear gene (ITS1), and the ribosomal gene of Portiera, the phylogenetic clustering analysis has been conducted and revealed that the genus Aleurotrachelus sensu lato was clustered together with Aleurocanthini Takahashi, 1954 stat. rev. and reinstated Crenidorsum ishigakiensis comb. nov. due to crescent-shaped scallops being clearly defined. The current study also unveiled several putative species in the A. spiniferus species complex, molecularly. In addition, the recombination event was not detected in Portiera but has been detected in the mtCOI genes of the A. spiniferus cryptic species and the A. woglumi sequences deposited in the NCBI database. The mitochondrial recombination gives an insight into the speciation process among this species complex.
Angiogenesis under Opioids Preconditioning in Renal Ischemia Reperfusion
Authors: Verdugo-Molinares Maritza G. , Franco-Acevedo Adriana , Ortiz Cesar I. , Cerino-Recinos José L. , Moreno-Carranza Bibiana , Melo Zesergio
Published: January 2023

Renal ischemia reperfusion (IR) presents a common challenge for organ graft and function after transplantation. In the kidney, although there are several mechanisms involved in the IR injury, some studies have pointed to angiogenesis as an important process in the pathophysiology of IR and, therefore, as a possible target mechanism to reduce IR damage. Angiogenesis can be modulated by different molecules and recent evidence has shown that opioids are among these molecules. Angiogenesis preconditioning with opioids is a useful and non-invasive strategy to increase the transplant success rate. Although some results have suggested an interaction between the opioid system and VEGF-mediated angiogenesis, more studies are required to fully elucidate the specific mechanisms involved in these actions. The present review summarizes the recent findings on kidney IR-related mechanisms, with as special emphasis on vascular changes. Finally, the evidence about the modulation of angiogenesis by opioids in a preconditioning scheme will be addressed.
Exploring the Experiences of People with Disabilities during the First Year of COVID-19 Restrictions in the Province of Quebec, Canada
Authors: Fortin-Bédard Noémie , Lamontagne Marie-Eve , Ladry Naomie-Jade , Bouchard David , Lettre Josiane , Desmarais Chantal , Boucher Normand , Best Krista L. , Raymond Emilie , Fougeyrollas Patrick , LeBlanc Annie , Routhier François
Published: January 2023

During the COVID-19 pandemic, the province of Quebec, Canada implemented stringent measures to mitigate virus transmission, which considerably affected the life of people with disabilities (PWD). The objective of this study was to explore the experiences of PWD during the first year of COVID-19 restrictions across the province. Participants who self-identified as having a disability in the Ma Vie et la pandémie study (MAVIPAN) were invited to participate in a semi-structured interview between December 2020 and May 2021. A mixed inductive and deductive approach was used to conduct a thematic analysis using NVivo 12. Forty PWD from Quebec, Canada participated in the interviews (mean [SD] age, 55.4 [15.5] years, 50% women). A deterioration in mental health and a reduction in social contact with loved ones were reported. PWD experienced delays and cessation of health services and reported feeling at risk of contracting severe strains of COVID-19 because of their health condition. Enhanced difficulties experienced by PWD and the lack of consideration specific to PWD by public authorities during COVID-19 was particularly concerning for participants in this study. Future studies should explore the value of implementing social programs specifically targeting PWD to enhance support as the pandemic continues.
A Community-Based Construct Method for an Inter-Satellite Communication Network of Satellite Swarm
Authors: Lun Weicheng , Li Qun , Zhang Can , Zhu Zhi
Published: January 2023

An inter-satellite communication network of satellite swarm (ICNS) is created if the members of a satellite swarm communicate with each other via inter-satellite links (ISLs). ICNS can be constructed using the theory of complex networks. A link community is defined as two satellites between which the ISL has been established. The satellite swarm, whose members have not established ISLs, is modeled as a pre-link network (PLN). The edge of a PLN is described as a candidate for the link community. Consequently, an ICNS can be constructed by collecting combinations of candidates for link communities (CCLC) based on PLN and then by selecting one of these. An algorithm is designed to take a sample of all CCLCs. A new structural entropy of networks is developed to evaluate a CCLC. The CCLC with a maximum structural entropy in the CCLC sample will be selected to become the edge set of the ICNS. An improvement method was proposed to ensure that the ICNS remains a dynamic connected network by preventing each satellite from establishing an ISL with the same satellite. The simulations demonstrated that the proposed method outperformed the benchmark methods, and it is necessary to adopt the improvement method.
Biodiesel from Rapeseed and Sunflower Oil: Effect of the Transesterification Conditions and Oxidation Stability
Authors: Khan Elena , Ozaltin Kadir , Spagnuolo Damiano , Bernal-Ballen Andres , Piskunov Maxim V. , Di Martino Antonio
Published: January 2023

In this study, we produced biodiesel fuel from two vegetal sources, rapeseed oil and sunflower oil, by transesterification reaction. The study aims to evaluate the impact of type of alcohol, its concentration and the reaction time, while keeping constant the temperature and the catalyst on the yield and quality of the biodiesel. For alcohol, methanol and ethanol were used at a molar ratio with the oil from 3 to 24. Transesterification was performed at various reaction times; 20, 40, 60 and 90 min for each oil and defined alcohol:oil molar ratio. The influence of these parameters on the biodiesel yield and properties were investigated in terms of density, viscosity, heating value, flash point, elemental content, density and oxidative stability of the final product. The benefit of oxidation stabilizers, catechol and 4-allyl-2,6-dimethoxyphenol was investigated. Results demonstrate that for rapeseed oil, the optimum reaction conditions to obtain a higher yield and quality of biodiesel were an alcohol:oil molar ratio of 15:1, with 60-min reaction time at 50 °C; while in the case of sunflower oil, the best yield and biodiesel quality were at an 18:1 molar ratio, with a 40-min reaction time and at 50 °C. In both cases, methanol provides the highest yields of biodiesel, and the obtained products satisfy the required standards and present a similarity with mineral diesel tested in same conditions.
Coordinated Control of Distributed Energy Storage Systems for DC Microgrids Coupling Photovoltaics and Batteries
Authors: Zhang Quan’e , Song Zhigang , Ru Qiushi , Fan Jiangwei , Qiao Lihui , Li Mingche , Wang Licheng , Li Shuaibing
Published: January 2023

To adapt to frequent charge and discharge and improve the accuracy in the DC microgrid with independent photovoltaics and distributed energy storage systems, an energy-coordinated control strategy based on increased droop control is proposed in this paper. The overall power supply quality of the DC microgrid is improved by optimizing the output priority of the multi-energy storage system. When photovoltaic and energy storage work simultaneously, the proposed method can dynamically adjust their working state and the energy storage unit’s droop coefficient to meet the system’s requirements. In DC microgrids with energy storage units of different capacities, the proposed strategy can be used to maintain the stability of bus voltage, improve the equalization speed and accuracy of the energy storage state of charge, and avoid the shutdown of energy storage units due to overcharge or discharge. Verification of the proposed strategy is implemented with MATLAB/Simulink. The simulation results show the proposed control strategy’s effectiveness in balancing energy supply and demand and reducing the time of charging and discharging energy storage units.
Reactive Transport Modeling of CO2-Brine–Rock Interaction on Long-Term CO2 Sequestration in Shihezi Formation
Authors: Li Zhuo , Lv Yanfang , Liu Bin , Fu Xiaofei
Published: January 2023

Carbon Capture and Storage (CCS) is attracting increasing scientific attention. Although experiments can explore the chemical process of CO2 sequestration, they are limited in time. CO2 geological storage will last hundreds and thousands of years, even much longer, so the numerical simulation method is used to conduct kinetic batch modeling and reactive transport modeling. The geochemical simulation tool—TOUGHREACT—is used to imitate CO2-brine–rock interactions at the Shihezi Formation in the Ordos basin. The mechanisms of CO2-brine–rock interaction and their effects on the reservoir are discussed, especially the change in structure and properties. K-feldspar and albite will dissolve as the main primary minerals. However, calcite and quartz will dissolve first and precipitate last. In addition, siderite and ankerite also appear as precipitation minerals. Mineral dissolution and precipitation will alter the formation of petrophysical parameters, such as porosity and permeability, which play significant roles in the geological storage environments. Although the CO2-brine–rock interaction rate may be small, it is an ideal way of geological storage. Regardless of what minerals dissolve and precipitate, they will improve the dissolution of CO2. The interaction between rock and brine with dissolved CO2 can promote the amount of mineralization of CO2, called mineral trapping, which has a positive effect on the long-term feasibility of CO2 storage.
Retrofitting WASP to a RoPax Vessel—Design, Performance and Uncertainties
Authors: Thies Fabian , Ringsberg Jonas W.
Published: January 2023

Wind-assisted propulsion (WASP) is one of the most promising ship propulsion alternatives that radically reduce greenhouse gas emissions and are available today. Using the example of a RoPax ferry, this study presents the performance potential of WASP systems under realistic weather conditions. Different design alternatives and system layouts are discussed. Further, uncertainties in the performance prediction of WASP systems are analyzed. Included in the analysis are the sail forces as well as the aero- and hydrodynamic interaction effects, i.e., the sail–sail and sail–deck interaction as well as the drift and yaw of the ship. As a result, this study provides guidelines on the most important parameters when designing and modeling a WASP ship. Finally, the study presents an analysis of the expected accuracy of the employed empirical/analytical performance prediction model ShipCLEAN.
How Findings from a Multi-Annual International Modeling Initiative Are Implemented in a Nuclear Waste Management Organization
Authors: Selroos Jan-Olof , Gylling Björn
Published: January 2023

In the present paper, we discuss various aspects of the SKB Task Force on Modeling of Groundwater Flow and Transport of Solutes (TFGWFTS). The TFGWTS is a multi-lateral forum for modeling of groundwater flow and solute transport, focusing on issues of relevance for disposal of nuclear waste. We discuss the objectives and set-up of the different tasks performed during the last 30 years, and specifically how the results of the modeling have informed performance and safety assessment applications within SKB (Swedish Nuclear Fuel and Waste Management Company, Solna, Sweden). We conclude that the TFGWFTS has been instrumental in developing modeling methodologies and tools, and in training and fostering modelers. While the early tasks were related to the construction of the Äspö Hard Rock Laboratory in Sweden and developed general modeling competence, the later tasks have served performance and safety assessment purposes in a more substantial manner.
Identification of Water Flooding Advantage Seepage Channels Based on Meta-Learning
Authors: Dong Chi , Zhang Baobin , Yang Erlong , Lu Jinhao , Zhang Linmo
Published: January 2023

As the water injection oilfield enters into the high water cut stage, a large number of water flooding advantage seepage channels are formed in the local reservoir dynamically changing with the water injection process, which seriously affects the water injection development effect. In oilfield production, water injection and fluid production profile test data are direct evidence to identify advantage seepage channels. In recent years, some scholars have carried out research related to the identification of advantage seepage channels based on machine learning methods; however, the insufficient profile test data limit the quantity and quality of learning samples, leading to problems such as low prediction accuracy of learning models. Therefore, the author proposes a new method of advantage seepage channel identification based on meta-learning techniques, using the MAML algorithm to optimize the neural network model so that the model can still perform well in the face of training tasks with low data sample size and low data quality. Finally, the model was applied to the actual blocks in the field to identify the advantage seepage channels, and the identification results were basically consistent with the tracer monitoring results, which confirmed the feasibility of the method. It provides a new solution idea for the task of identifying advantage seepage channels and other tasks with low data quality, which has a certain guiding significance.
Photovoltaic Companies on the Warsaw Stock Exchange—Another Speculative Bubble or a Sign of the Times?
Authors: Kuś Agnieszka , Kuś Agnieszka
Published: January 2023

Renewable energy sources are an attractive alternative to fossil fuels for several reasons. Firstly, these are ecological arguments, mainly reducing greenhouse gas emissions. Secondly, there are legal issues, particularly the obligations of the European Community countries in the field of climate as part of the implementation of the European Green Deal and the joint achievement of 40% of energy from renewable sources by 2030. Thirdly, these are international issues, primarily regarding reducing dependence on uncertain oil or gas markets. And finally, they may be economic reasons, such as diversification of energy supplies and associated costs, as well as opportunities for profits on the capital market. In Poland, over the last decade, a certain kind of boom in photovoltaics has been visible, both in terms of the number of companies dealing with solar collectors, as well as the annual increase in new capacity, or the level of installed capacity. Also, on the Warsaw Stock Exchange, photovoltaic companies have introduced much confusion in the tier of quotations in recent years. Solar energy has become a kind of gateway for companies to increase their results, stock exchange quotations, or acquire new customers. It is not surprising that more and more investors want to invest their money in this segment. Given the above, this article attempts to answer the question: Is there a risk of a stock market bubble among photovoltaic companies in the near future? For this purpose, we used the financial indicators of photovoltaic companies listed on the Warsaw Stock Exchange, and with the help of the Taxonomic Measure of Attractiveness of Investments, we created rankings of the investment attractiveness of these companies in 2017-2019. The leaders include companies listed on the main market as well as in the alternative trading system of the Warsaw Stock Exchange. It should be borne in mind that regardless of the undertaken diversification and analytical activities, the risk of an investment bubble has been and will remain an indispensable element in the functioning of every capital market in the world.
Repair Parameter Design of Outer Reinforcement Layers of Offshore Wind Turbine Blade Spar Cap Based on Structural and Aerodynamic Analysis
Authors: Li Hui , Lu Xiaolong , Xin Wen , Guo Zhihui , Zhou Bo , Ning Baokuan , Bao Hongbing
Published: January 2023

The influence of the outer reinforcement layers on the repair structure and aerodynamic performance was studied. Firstly, a continuous damage mechanics model was established, and the 3D Hashin criterion and cohesive zone material model were used to analyze the damage repair model. The failure load deviation was 5.5%. Secondly, on the basis of the γ−Reθ transition model and SST–ω turbulence model, the aerodynamic analysis model of DU300 airfoil was established. The numerical simulation results showed that the lift coefficient and pressure distribution at the angle of attack of 10° and 15° were deviated from the experimental values by 2%. Furthermore, 27 structural repair models, nine 2D aerodynamic repair models, and a 3D full-scale blade model were designed. It was found that, when the repair length accounted for 60% of the total model length, the failure load increased by 22%, but the aerodynamic power with the repair length of 10 m was decreased by 0.137%. When the repair area was large and the repair height was from 4 mm to 6 mm, the failure load was greatly increased by about 30%, and the aerodynamic pressure distribution and static pressure field fluctuated significantly. The results show that the structural and aerodynamic characteristics were closely related to the repair parameters.
Crystalline Silicon (c-Si)-Based Tunnel Oxide Passivated Contact (TOPCon) Solar Cells: A Review
Authors: Ullah Hayat , Czapp Stanislaw , Szultka Seweryn , Tariq Hanan , Qasim Usama Bin , Imran Hassan
Published: January 2023

Contact selectivity is a key parameter for enhancing and improving the power conversion efficiency (PCE) of crystalline silicon (c-Si)-based solar cells. Carrier selective contacts (CSC) are the key technology which has the potential to achieve a higher PCE for c-Si-based solar cells closer to their theoretical efficiency limit. A recent and state-of-the-art approach in this domain is the tunnel oxide passivated contact (TOPCon) approach, which is completely different from the existing classical heterojunction solar cells. The main and core element of this contact is the tunnel oxide, and its main role is to cut back the minority carrier recombination at the interface. A state-of-the-art n-type c-Si-based TOPCon solar cell featuring a passivated rear contact was experimentally analyzed, and the highest PCE record of ~25.7% was achieved. It has a high fill factor (FF) of ~83.3%. These reported results prove that the highest efficiency potential is that of the passivated full area rear contact structures and it is more efficient than that of the partial rear contact (PRC) structures. In this paper, a review is presented which considers the key characteristics of TOPCon solar cells, i.e., minority carrier recombination, contact resistance, and surface passivation. Additionally, practical challenges and key issues related to TOPCon solar cells are also highlighted. Finally, the focus turns to the characteristics of TOPCon solar cells, which offer an improved and better understanding of doping layers and tunnel oxide along with their mutual and combined effect on the overall performance of TOPCon solar cells.
Configurations and Control Strategies of Hybrid Powertrain Systems
Authors: Yue Huijun , Lin Jinyu , Dong Peng , Chen Zhinan , Xu Xiangyang
Published: January 2023

The configuration and control strategy of hybrid powertrain systems are significant for the development of hybrid electric vehicles (HEV) because they significantly affect their comprehensive performance. In this paper, the types, features, and applications of the mainstream hybrid powertrain configurations on the market in recent years are summarized and the effects of different configurations on the comprehensive performance of HEVs are compared. Moreover, the technical routes for each hybrid configuration are highlighted, as configuration optimization methods have become a technical difficulty. In addition, the technological advances in the steady-state energy management strategy and dynamic coordinated control strategy for hybrid powertrain systems are studied. The optimization of the steady-state energy management strategy mainly involves assigning the working point and working range of each power source reasonably. However, with the increase in the complexity of optimization algorithms, real-time control of HEVs still needs to be improved. The optimization of the dynamic coordinated control strategy mainly focuses on the stability and smoothness of the dynamic process involving switching and shifting the working mode. The optimization of the dynamic control process for the system remains to be further improved. It is pointed out that the configurations and strategies should be optimized jointly to obtain a comprehensive improvement in the system performance. This paper provides an informative basis and technical support for the design and optimization of a hybrid powertrain system.
Assessment of the Condition of Soils before Planned Hard Coal Mining in Southern Poland: A Starting Point for Sustainable Management of Fossil Fuel Resources
Authors: Sutkowska Katarzyna , Teper Leslaw , Czech Tomasz , Walker Arthur
Published: January 2023

In Poland’s largest mining district, the Upper Silesian Coal Basin, there is a growing interest in resource development by small operators. Some concession areas are not yet directly affected by the mining industry. The objects of this research are two such areas and the goal is to determine a load of heavy metals (HM) in soils prior to mining projects and to assess the extent of their contamination at this stage. The metals studied were Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn, while HM contamination was assessed using the Contamination Factor (CF), Contamination Degree (CD), Pollution Load Index (PLI), and Geoaccumulation Index (Igeo). The Ecological Risk Potential Index (ER) and Comprehensive Potential Ecological Risk Index (PERI) were also employed. The pre-mining areas are close to an area where mining was terminated before 2000. For this area, we performed the same set of analyses as for the pre-mining areas studied. HM concentration levels and pollution indices in post-mining areas are significantly higher than in pre-mining areas. The results obtained in the post-mining area give an idea of the expected type and scale of potential threat to soils from mining and can form the basis for monitoring environmental contamination in subsequent investment and operation phases, as well as help develop and implement timely methods to prevent the increase in heavy metal immission to soils during mining activities. We believe that the presented approach of assessing the condition of soils starting at the pre-mining stage can support the sustainable management of energy resources in the cases studied and elsewhere.
Mitigating the Energy Crisis: Utilization of Seed Production Wastes for Energy Production in Continental Croatia
Authors: Kontek Mislav , Brezinščak Luka , Jurišić Vanja , Brandić Ivan , Antonović Alan , Matin Božidar , Špelić Karlo , Krička Tajana , Matin Ana
Published: January 2023

A number of measures to diversify its energy supply sources and reduce its dependence on imported energy sources has been taken by the EU. These include pursuing new energy sources, such as renewable energy and liquefied natural gas; increasing the storage capacities; and investing in interconnectors and other infrastructure. However, these actions require long-term adjustment, while there is a need to find an option to meet the energy needs at a moment. One possible option is to utilize seed production wastes for energy production. This research paper aims to investigate the potential of utilizing seed production wastes (SPWs) for energy production in continental Croatia, and assess its feasibility. Eight different SPWs were used in this research, where their energy characteristics were determined and the theoretical thermal potential was calculated if they are used as raw material in the production of thermal energy through biomass and cogeneration power plants, or in biogas power plants. By using the available feedstock, it is theoretically possible to produce a total of 38,051.10 GJ of thermal energy by direct combustion of SPWs and 34,727.91 GJ by combustion of the produced biomethane. The SPWs of oilseed rape and beans contain the highest specific heat potential per hectare.
Hospitals’ Energy Efficiency in the Perspective of Saving Resources and Providing Quality Services through Technological Options: A Systematic Literature Review
Authors: Psillaki Maria , Apostolopoulos Nikolaos , Makris Ilias , Liargovas Panagiotis , Apostolopoulos Sotiris , Dimitrakopoulos Panos , Sklias George
Published: January 2023

The effects of climate change, in combination with the recent energy crisis, have brought the energy efficiency issues of hospitals markedly to the fore. Hospitals are considered among the most energy-intensive buildings, which is why they have become a top priority for governments wishing to upgrade their energy efficiency. Given the critical nature of the work of hospitals and the model of healthcare provision (nursing cover 24 h per day, 7 days a week) it is very hard to achieve energy cuts. The international literature shows that the energy efficiency of hospitals is a complex process that requires further research. This need is covered by the present systematic literature review, which captures the existing knowledge on energy monitoring strategies, assessment, and upgrading through technology, resources-saving strategies, and the relationship between energy efficiency and the quality of the service provision, while also identifying future research considerations and the potential for supporting researchers’ work. Additionally, this study adds aggregated data to the literature, as far as the energy performance of buildings is concerned, and allows investors to have data exported from energy surveys at their disposal. At the same time, it suggests the further exploration of alternative energy technologies, based on all renewable energy sources rather than only solar power systems. This highlights the need for a comparative examination of hospitals with different climatic and socio-economic environments, to better determine what technologies effectively serve the energy needs of each region. Finally, this survey considers it necessary to connect the energy efficiency of hospital units with the awareness of the management and workforce in the saving of energy resources. Due to the fact that most studies are oriented toward the energy performance of very large-sized hospitals, it is suggested that in the future, the research lens should also be focused on the smaller private and public sectors’ health units.
Two-Phase Modeling and Simulations of a Polymer Electrolyte Membrane Water Electrolyzer Considering Key Morphological and Geometrical Features in Porous Transport Layers
Authors: Salihi Hassan , Ju Hyunchul
Published: January 2023

Polymer electrolyte membrane (PEM) electrolysis has a promising future for large-scale hydrogen production. As PEM electrolysis technology develops, larger operating current densities are required. In order to increase current density, more water should be available at the reaction sites. Moreover, the removal rate of oxygen and hydrogen needs to be effectively improved. This, in turn, necessitates a better understanding of the main mass transport and electrochemical processes. On the anode side, mass transport is particularly crucial because water must be supplied to the catalyst layer (CL) while, at the same time, oxygen bubbles must be eliminated in a parallel flow from the reaction sites into the flow channels. Hence, simulating the two-phase bubbly flow across the cell thickness is necessary to predict PEM electrolysis performance more accurately as a function of the operating current density. This study provides a systematic understanding of how morphological and geometrical features contribute to the polarization curve and performance characteristics of a PEM electrolysis cell. Hence, a multi-phase PEM electrolysis model has been implemented using MATLAB R2022a. Polarization curves have been calibrated against experimental data and then assessed to provide a fundamental understanding of the relationship between the two-phase flow and cell performance.
Time Segmentation-Based Hybrid Caching in 5G-ICN Bearer Network
Authors: Zhao Ke , Han Rui , Wang Xu
Published: January 2023

The fifth-generation communication technology (5G) and information-centric networks (ICNs) are acquiring more and more attention. Cache plays a significant part in the 5G-ICN architecture that the industry has suggested. 5G mobile terminals switch between different base stations quickly, creating a significant amount of traffic and a significant amount of network latency. This brings great challenges to 5G-ICN mobile cache. It appears urgent to improve the cache placement strategy. This paper suggests a hybrid caching strategy called time segmentation-based hybrid caching (TSBC) strategy, based on the 5G-ICN bearer network infrastructure. A base station’s access frequency can change throughout the course of the day due to the “tidal phenomena” of mobile networks. To distinguish the access frequency, we split each day into periods of high and low liquidity. To maintain the diversity of cache copies during periods of high liquidity, we replace the path’s least-used cache copy. We determine the cache value of each node in the path and make caching decisions during periods of low liquidity to make sure users can access the content they are most interested in quickly. The simulation results demonstrate that the proposed strategy has a positive impact on both latency and the cache hit ratio.
Simplified Interfacial Area Modeling in Polydisperse Two-Phase Flows under Explosion Situations
Authors: Feroukas Konstantinos , Chiapolino Alexandre , Saurel Richard
Published: January 2023

The aim of the present work is to account for polydisperse effects in a two-phase flow with a simple and fast method. Polydisperse two-phase flows arise in numerous applications. Fire sprinkler systems are relevant examples as they release clouds of polydisperse droplets. Another relevant example is the polydisperse two-phase flow created by the detonation of an explosive charge surrounded by a liquid layer. In such a situation, material interfaces are initially present and the created two-phase flow consists of a carrier gas phase and a liquid phase involving many droplets of various sizes. Spherical particles or droplets are usually assumed in two-phase flow computations. When dealing with explosion situations involving both dense and dilute flow regimes, multiple particle diameters can be addressed but at the price of introducing as many additional equations that describe mass, momentum and energy balance of the various particle classes. Consequently, the computation time needed to address numerical resolution increases tremendously. Under explosion situations involving many particle diameters, the method becomes intractable and is usually reduced to a single diameter, which is often insufficient. A simplified approach is developed in the present work to account for a substantial number of particles of different sizes with few extra computational cost. The approach is said to be simplified as a single velocity and a single temperature are considered for all the spherical particles, regardless of their diameters. This type of modeling seems apt for the target explosion situations. The focus is placed on the interfacial area, which is the main parameter involved in the coupling of the two phases. In the present work, Gamma-like continuous probability distributions are considered to address the various sizes of particles. The effects of the size distribution are only summarized in the specific interfacial area, yielding consequently few code modifications while taking into account the polydisperse aspect of the two-phase flow.
Three-Dimensional Cell Culture Methods in Infectious Diseases and Vaccine Research
Authors: Varan Gamze , Unal Serhat
Published: January 2023

Cells, the basic structures of all living organisms, reside in an extracellular matrix consisting of a complex three-dimensional architecture and interact with neighboring cells both mechanically and biochemically. Cell–cell and cell–extracellular matrix interactions form a three-dimensional network that maintains tissue specificity and homeostasis. Important biological processes in a cell cycle are regulated by principles organized by the microenvironment surrounding the cell. The conventional cell culture methods failed to mimic in vivo-like structural organization and are insufficient to examine features such as connectivity of cells, cellular morphology, viability, proliferation, differentiation, gene and protein expression, response to stimuli, and drug/vaccine metabolism. Three-dimensional cell culture studies are very important in terms of reducing the need for in vivo studies and creating an intermediate step. Three-dimensional cell culture methods have attracted attention in the literature in recent years, especially in examining the cellular distribution of organs in the presence of infectious diseases, elucidating the pathogenic mechanism of action of viruses, and examining virus–host interactions. This review highlights the use and importance of three-dimensional cell culture methods in the design and characterization of novel vaccine formulations and the pathogenesis of infectious diseases.