bluuebunny/crossref_metadata_2025 huggingface dataset:
Hand Trauma and Reconstructive Microsurgery during the COVID-19 Emergency in the Marche Region (Italy): What Has Changed?
Authors: De Francesco Francesco , Berdini Massimo , Gravina Pasquale , Pangrazi Pier Paolo , Signoriello Giuseppe , Riccio Michele
Published: November 2023

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing COVID-19, has spread across the globe. To limit the spread of COVID-19, the Italian government imposed various restrictions (lockdowns). These restrictions had an impact on the flow of patients accessing hospital care. Our aim in this study was to analyze the impact of lockdowns on the epidemiology of patients suffering from hand trauma. Our work analyzed the variation in the number and characteristics of hand trauma patients during the lockdown and half-lockdowns in 2020 compared to the same periods in the previous and subsequent years. In 2020, during the lockdown period, 107 patients were treated by our department for hand trauma, amounting to a 2% increase compared to the average number of patients treated in the pre-pandemic period. In 2020, during the half-lockdown period, 158 patients were treated, amounting to a 6.8% increase in comparison to the pre-pandemic period. During the lockdown period in Italy, the flow of patients suffering from hand trauma referred to our hub center remained stable. Given the restrictions imposed by the lockdown, we expected a consequent reduction in the number of work-related injuries, which did occur, while there was a surprising increase in the number of traffic-related injuries. The number of domestic accidents remained stable.
Establishing Innovative Complex Services: Learning from the Active Together Cancer Prehabilitation and Rehabilitation Service
Authors: Keen Carol , Phillips Gail , Thelwell Michael , Humphreys Liam , Evans Laura , Myers Anna , Frith Gabriella , Copeland Robert
Published: November 2023

Prehabilitation and rehabilitation will be essential services in an ageing population to support patients with cancer to live well through their life spans. Active Together is a novel evidence-based service embedded within existing healthcare pathways in an innovative collaboration between health, academic, and charity organisations. Designed to improve outcomes for cancer patients and reduce the demand on healthcare resources, it offers physical, nutritional, and psychological prehabilitation and rehabilitation support to patients undergoing cancer treatment. The service is underpinned by behaviour change theories and an individualised and personalised approach to care, addressing the health inequalities that might come about through age, poverty, ethnicity, or culture. Meeting the challenge of delivering high-quality services across multiple stakeholders, while addressing the complexity of patient need, has required skilled leadership, flexibility, and innovation. To support patients equally, regardless of geography or demographics, future services will need to be scaled regionally and be available in locations amenable to the populations they serve. To deliver these services across wide geographic regions, involving multiple providers and complex patient pathways, will require a systems approach. This means embracing and addressing the complexity of the contexts within which these services are delivered, to ensure efficient, high-quality provision of care, while supporting staff well-being and meeting the needs of patients.
Current Use of Cigarettes in the United States: The Joint Role of Race/Ethnicity and Health Insurance Coverage
Authors: Soulakova Julia N. , Crockett Lisa J.
Published: November 2023

The goal of this study was to assess the joint role of race/ethnicity and a health insurance coverage type (private, Medicare, Medicaid) in current cigarette use among adults in the U.S. Data from the 2019 Tobacco Use Supplement and the 2019 Annual Social and Economic Supplement of the Current Population Survey were merged (n = 39,882). Bivariate associations between each coverage type and smoking prevalence were examined within each of six racial/ethnic groups. A multiple logistic regression model (for the odds of current cigarette use) was estimated to explore the interactions between race/ethnicity and an indicator of each type of coverage among Hispanic, non-Hispanic (NH) Black/African American, and NH White adults. All analyses included survey weights. Results of bivariate analyses indicated that private and Medicare coverage were associated with significantly lower smoking prevalence (compared to no such coverage), while Medicaid coverage was associated with significantly higher smoking prevalence (all p ≤ 0.05). Some of these associations were significant among NH Black/African American and NH White adults (all p ≤ 0.05). The model indicated that the interaction between race/ethnicity and the indicator of private coverage was significant (p = 0.044): private coverage was significantly associated with lower prevalence among NH White adults only (AOR = 0.59, 98.3%, CI = 0.46:0.76). In addition, Medicaid coverage was significantly associated with higher smoking prevalence (overall). The study points to possible racial/ethnic disparities in the quality of smoking-related health care that people with the same type of coverage receive and possible underutilization of health care services even among adults with health insurance coverage, especially among communities of color and Medicaid enrollees.
Mindfulness Intervention Improves Coping and Perceptions of Children’s Behavior among Families with Elevated Risk
Authors: Krause Jill T. , Brown Samantha M.
Published: November 2023

Mindfulness-informed interventions (MIIs) are increasingly common but have not been extensively studied among families with elevated levels of risk (e.g., those involved in child protective services and/or receiving financial assistance). These families often experience high rates of stressors that can impact coping strategies, interpersonal dynamics, and relationships. Given that mindfulness has been shown to promote health and wellbeing, this study used a sample from two pilot randomized controlled trials to test the extent to which a mindfulness-informed intervention improved coping strategies and perceptions of children’s behavior among 53 families with elevated risk. A principal components analysis with a direct oblimin rotation revealed that cognitive–emotion coping strategies could be characterized by three factors: positive adaptation, negative adaptation, and positive refocusing. Intention-to-treat analysis indicated significant group by time differences, with intervention participants demonstrating improvements in positive refocusing coping, positive adaptation coping, and perceptions of children’s behavior problems compared to participants in the waitlist control group. No significant differences were found for negative adaptation coping strategies. Findings provide preliminary support for the benefits of mindfulness training in a sample generally underrepresented in the mindfulness intervention literature.
Melatonin Inhibits Testosterone Synthesis in Rooster Leydig Cells by Targeting CXCL14 through miR-7481-3p
Authors: Xu Haoran , Pu Jingxin , Teng Yunkun , Zhu Qingyu , Guo Lewei , Zhao Jing , Ding He , Fang Yi , Ma Xin , Liu Hongyu , Guo Jing , Lu Wenfa , Wang Jun
Published: November 2023

Melatonin has been proved to be involved in testosterone synthesis, but whether melatonin participates in testosterone synthesis by regulating miRNA in Leydig cells is still unclear. The purpose of this study is to clarify the mechanism of melatonin on Leydig cells testosterone synthesis from the perspective of miRNA. Our results showed that melatonin could significantly inhibit testosterone synthesis in rooster Leydig cells. miR-7481-3p and CXCL14 were selected as the target of melatonin based on RNA-seq and miRNA sequencing. The results of dual-luciferase reporter assays showed that miR-7481-3p targeted the 3′-UTR of CXCL14. The overexpression of miR-7481-3p significantly inhibited the expression of CXCL14 and restored the inhibitory role of melatonin testosterone synthesis and the expression of StAR, CYP11A1, and 3β-HSD in rooster Leydig cells. Similarly, interference with CXCL14 could reverse the inhibitory effect of melatonin on the level of testosterone synthesis and the expression of StAR, CYP11A1, and 3β-HSD in rooster Leydig cells. The RNA-seq results showed that melatonin could activate the PI3K/AKT signal pathway. Interference with CXCL14 significantly inhibited the phosphorylation level of PI3K and AKT, and the inhibited PI3K/AKT signal pathway could reverse the inhibitory effect of CXCL14 on testosterone synthesis and the expression of StAR, CYP11A1 and 3β-HSD in rooster Leydig cells. Our results indicated that melatonin inhibits testosterone synthesis by targeting miR-7481-3p/CXCL14 and inhibiting the PI3K/AKT pathway.
Improving the Thermostability of Thermomyces lanuginosus Lipase by Restricting the Flexibility of N-Terminus and C-Terminus Simultaneously via the 25-Loop Substitutions
Authors: Xiang Xia , Zhu Enheng , Xiong Diao , Wen Yin , Xing Yu , Yue Lirong , He Shuang , Han Nanyu , Huang Zunxi
Published: November 2023

(1) Lipases are catalysts widely applied in industrial fields. To sustain the harsh treatments in industries, optimizing lipase activities and thermal stability is necessary to reduce production loss. (2) The thermostability of Thermomyces lanuginosus lipase (TLL) was evaluated via B-factor analysis and consensus-sequence substitutions. Five single-point variants (K24S, D27N, D27R, P29S, and A30P) with improved thermostability were constructed via site-directed mutagenesis. (3) The optimal reaction temperatures of all the five variants displayed 5 °C improvement compared with TLL. Four variants, except D27N, showed enhanced residual activities at 80 °C. The melting temperatures of three variants (D27R, P29S, and A30P) were significantly increased. The molecular dynamics simulations indicated that the 25-loop (residues 24–30) in the N-terminus of the five variants generated more hydrogen bonds with surrounding amino acids; hydrogen bond pair D254-I255 preserved in the C-terminus of the variants also contributes to the improved thermostability. Furthermore, the newly formed salt-bridge interaction (R27…E56) in D27R was identified as a crucial determinant for thermostability. (4) Our study discovered that substituting residues from the 25-loop will enhance the stability of the N-terminus and C-terminus simultaneously, restrict the most flexible regions of TLL, and result in improved thermostability.
Automated Detection of Persuasive Content in Electronic News
Authors: Darnoto Brian Rizqi Paradisiaca , Siahaan Daniel , Purwitasari Diana
Published: November 2023

Persuasive content in online news contains elements that aim to persuade its readers and may not necessarily include factual information. Since a news article only has some sentences that indicate persuasiveness, it would be quite challenging to differentiate news with or without the persuasive content. Recognizing persuasive sentences with a text summarization and classification approach is important to understand persuasive messages effectively. Text summarization identifies arguments and key points, while classification separates persuasive sentences based on the linguistic and semantic features used. Our proposed architecture includes text summarization approaches to shorten sentences without persuasive content and then using classifiers model to detect those with persuasive indication. In this paper, we compare the performance of latent semantic analysis (LSA) and TextRank in text summarization methods, the latter of which has outperformed in all trials, and also two classifiers of convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM). We have prepared a dataset (±1700 data and manually persuasiveness-labeled) consisting of news articles written in the Indonesian language collected from a nationwide electronic news portal. Comparative studies in our experimental results show that the TextRank–BERT–BiLSTM model achieved the highest accuracy of 95% in detecting persuasive news. The text summarization methods were able to generate detailed and precise summaries of the news articles and the deep learning models were able to effectively differentiate between persuasive news and real news.
Biology, Population Fluctuation, and Foliar Consumption Rate of Durrantia arcanella Busk, 1912 (Lepidoptera: Depressariidae), a Defoliator of Oil Palm in the Colombian Caribbean
Authors: Tejeda-Rico German E. , Barrios-Trilleras Carlos E. , Diaz-Castro Roberto J. , Florián-Martínez Leidy V. , Contreras-Arias Leidy J. , Padilla-Agudelo José Luis , Morales-Rodríguez Anuar
Published: November 2023

Durrantia arcanella is a recurring pest insect of oil palm in Colombia. Because the biology and ecology of D. arcanella are unknown, it was proposed to determine the life cycle and foliar consumption under laboratory conditions. Furthermore, through sequential sampling for two and a half years, its population fluctuation and natural enemies were determined in Agustín Codazzi and El Copey (Cesar, Colombia). Also, temperature, precipitation, and relative humidity were registered. The life cycle of D. arcanella lasted 48.0 ± 10.1 days, the egg 8.0 ± 0.7 days, larva 24.2 ± 6.2 days, pre-pupa 1.5 ± 0.5 days, pupa 7.1 ± 0.9 days, and adult 7.2 ± 2.0 days. The larvae consumed 8.2 ± 5.3 cm2 of leaflets. Correlations were found between the population fluctuation in D. arcanella and the temperature in El Copey (ρ = −0.45; p < 0.0043), relative humidity in Codazzi (ρ = 0.33; p < 0.034), and with the natural control in both locations ((ρ = 0, 61; p < 0.000044) and (ρ = 0.42; p < 0.006)). These results suggest monitoring the pest populations in the second semester of the year and show the importance of promoting native natural enemies.
Effect of Pulsing Digital Heating Devices on Skin Parameters, Subjective Pain, Mood, and Anxiety
Authors: Natarelli Nicole , Subramanyam Chaitra , Gahoonia Nimrit , Burney Waqas , Sivamani Raja K. , Maloh Jessica
Published: November 2023

A common pitfall of many conventional heat therapy methods is the propensity to lose heat over time and the need for reheating and reapplication. Pain-relieving digital heating devices are now available that can be held in place on the body via adhesive or magnet and provide pulsed heat. However, the safety of such devices among different ages and skin types must be established. We conducted a prospective, open-label study to assess the effect of three consecutive thirty-minute treatment cycles on skin parameters and pain. Effects on mood and anxiety were secondarily assessed. 22 adult participants (20 female, 2 male; mean 58 ± 17.63 years) were recruited. The participants attended one visit with heating device intervention and a follow-up visit after 7–10 days. A 97% significant increase in transepidermal water loss was observed immediately following intervention (p = 8.04487 × 10−7), although significance was not sustained at follow-up. There was an increase along the red/green axis at 13/14 treatment locations immediately following treatment, although only four locations remained significantly increased at follow-up. Pain non-significantly decreased immediately following treatment (p = 0.057). A 38.6% decrease in subjective anxiety was observed immediately after treatment (p = 0.0139), and scores remained non-significantly reduced at follow-up (19.3% reduction from baseline; p = 0.1397). The heating devices elicit temporary changes to the skin, although the lack of significance at follow-up suggests that the devices can be safely used without long-term changes in skin color or barrier status.
Survival Outcomes after Placement of Inferior Vena Cava Filters in Cancer Patients: Insights from a Comprehensive Cancer Center’s Experience
Authors: Abdel-Razeq Hikmat , Tamimi Faris , Al-Jaghbeer Mohammed J. , Sharaf Baha’ , Abdel-Razeq Rashid , Bani Issa Jafar , Abu-Jaish Hala , Salama Osama
Published: November 2023

Background: Inferior vena cava (IVC) filters serve as a vital intervention when systemic anticoagulation proves ineffective or contraindicated, particularly in the context of cancer patients. This study aimed to provide real-world insights into the outcomes of cancer patients following IVC filter placement. Patients and methods: Cancer patients with IVC filters were retrospectively reviewed. The indications and survival outcomes following IVC filter insertion have been reported. Results: A total of 176 cancer patients with IVC filters were included in the study. The median patient age was 56 years (range: 18–88 years). Solid tumors were the most common primary cancers (n = 125, 71.0%), and the majority (n = 99, 79.2%) had the advanced-stage disease at the time of IVC insertion. The filters were inserted because of contraindications to anticoagulation (n = 99, 56.3%) or the failure of anticoagulation (n = 56, 31.8%). The median survival (range) following filter placement was only 2 (1.45–2.55) months for patients with advanced-stage solid tumors, 5 (0.62–9.38) months for patients with brain tumors, and 44 (8.59–79.41) months for those with early-stage solid tumors, p < 0.001. Conclusions: Our findings suggest that IVC filter placement offers limited benefits to patients with advanced-stage disease. The underlying tumor, stage, and life expectancy are crucial factors in the decision-making process before IVC filter insertion.
Biomarkers in Acute Myocarditis and Chronic Inflammatory Cardiomyopathy: An Updated Review of the Literature
Authors: Crisci Giulia , Bobbio Emanuele , Gentile Piero , Bromage Daniel I. , Bollano Entela , Ferone Emma , Israr Muhammad Zubair , Heaney Liam M. , Polte Christian L. , Cannatà Antonio , Salzano Andrea
Published: November 2023

Myocarditis is a disease caused by cardiac inflammation that can progress to dilated cardiomyopathy, heart failure, and eventually death. Several etiologies, including autoimmune, drug-induced, and infectious, lead to inflammation, which causes damage to the myocardium, followed by remodeling and fibrosis. Although there has been an increasing understanding of pathophysiology, early and accurate diagnosis, and effective treatment remain challenging due to the high heterogeneity. As a result, many patients have poor prognosis, with those surviving at risk of long-term sequelae. Current diagnostic methods, including imaging and endomyocardial biopsy, are, at times, expensive, invasive, and not always performed early enough to affect disease progression. Therefore, the identification of accurate, cost-effective, and prognostically informative biomarkers is critical for screening and treatment. The review then focuses on the biomarkers currently associated with these conditions, which have been extensively studied via blood tests and imaging techniques. The information within this review was retrieved through extensive literature research conducted on major publicly accessible databases and has been collated and revised by an international panel of experts. The biomarkers discussed in the article have shown great promise in clinical research studies and provide clinicians with essential tools for early diagnosis and improved outcomes.
Aging Impact in Response to Different Classes of Biological Treatment in Psoriatic Patients: A Real-Life Observational Study
Authors: Rosset Francois , Mastorino Luca , Dapavo Paolo , Ortoncelli Michela , Quaglino Pietro , Ribero Simone
Published: November 2023

Over the last decade, the treatment landscape for moderate to severe psoriasis has undergone transformative changes with the advent of biotechnological drugs. Monoclonal antibodies targeting the IL-17 and IL-23 pathways have displayed remarkable clinical efficacy and safety, even among patients with complex comorbidities. These innovations have extended across various age groups within the psoriatic population. However, a scarcity of age-specific data remains regarding the efficacy and safety of these medications. Our study tries to bridge this gap by systematically presenting data obtained from the analysis of 1055 patients treated for psoriasis with anti-IL17 and anti-IL23 drugs during a 1-year period. The effectiveness and safety of anti-IL-17 and anti-IL23 drugs for moderate to severe psoriasis were assessed across four different age groups ranging from patients less than 26 years old to patients older than 65 years, divided in four year ranges. In the studied population, baseline PASI score was significantly higher in the age group of individuals over 65 years compared to those under 26 years old. Patients over 65 years also exhibited a slower rate of improvement in PASI-90 and PASI < 3 at the 16-week mark compared to other age groups. However, no clinically significant differences in treatment response were found when comparing overall responses among different age groups. In age groups older than 26 years, anti-IL17 drugs seems faster in the achievement of PASI-100 when compared to anti-IL23 drugs. This trend became more pronounced with increasing age. The investigation provides insights into treatment responses and patient characteristics, highlighting the influence of age as a significant variable in patient management.
Posterior Quadratus Lumborum Block or Thoracolumbar Interfascial Plane Block and Postoperative Analgesia after Spinal Surgery: A Randomized Controlled Trial
Authors: Canikli Adıgüzel Şenay , Akyurt Dilan , Bahadır Altun Hatice , Ültan Özgen Gökçe , Akdeniz Sevda , Bayraktar Birol , Tulgar Serkan , Yiğit Yavuz
Published: November 2023

Introduction: The management of postoperative pain following lumbar disc herniation (LDH) surgery is crucial for the quality of recovery. The effectiveness of multimodal analgesia plans increases when interfascial plane blocks are included. This study sought to compare the analgesic efficacy of preoperative ultrasound-guided TLIP (thoracolumbar interfascial plane) blocks and posterior QLBs (quadratus lumborum blocks) in patients undergoing LDH surgery. Methods: Patients undergoing elective LDH surgery under general anesthesia were randomized into two groups: thoracolumbar interfascial plane block (Group T) and posterior quadratus lumborum block (Group Q). Block applications were performed 30 min before anesthesia induction. In the postoperative period, analgesia control was provided with a patient-controlled analgesia device. The patients’ 24 h cumulative opioid consumption was examined. Pain scores were evaluated in the 0th, 3rd, 6th, 9th, 12th, and 24th hours. Results: The mean 24 h cumulative morphine consumption for patients was statistically insignificant when Groups T and Q were compared (9.14 ± 7.03 mg vs. 8.66 ± 6.58 mg, p = 0.788). Pain scores at rest and during movement as well as morphine consumption were similar between groups in the 0th, 3rd, 6th, 9th, 12th, and 24th hours (p > 0.05). Conclusions: The study determined that the utilization of TLIP blocks and posterior QLBs prior to anesthesia induction yielded comparable outcomes in terms of reducing postoperative analgesic consumption and enhancing the efficacy of multimodal analgesia in individuals undergoing single-distance lumbosacral spine surgery under general anesthesia.
The Emotion Magnitude Effect: Navigating Market Dynamics Amidst Supply Chain Events
Authors: McCarthy Shawn , Alaghband Gita
Published: November 2023

During the volatile market period of 2019–2021, characterized by geopolitical shifts, economic sanctions, pandemics, natural disasters, and wars, the global market presented a complex landscape for financial decision making and motivated this study. This study makes two groundbreaking and novel contributions. First, we augment Plunket’s emotional research and leverage the emotional classification algorithm in Fin-Emotion to introduce a novel quantitative metric, “emotion magnitude”, that captures the emotional undercurrents of the market. When integrated with traditional time series analysis using Temporal Convolutional Networks applied to stock market futures, this metric offers a more holistic understanding of market dynamics. In our experiments, incorporating it as a feature led to significantly better performance on both the training and validation sets (9.26%, 52.11%) compared to traditional market-based risk measures, in predicting futures market trends based on the commodities and supply chains analyzed. Second, we deploy a multidimensional data science framework that synthesizes disparate data streams and analyses. This includes stock metrics of sector-leading companies, the time horizon of significant market events identified based on company stock data, and the extraction of further knowledge concepts identified through “emotion magnitude” analysis. Our approach stitches together countries, commodities, and supply chains identified in the targeted news search and identifies the domestic companies impacted based on the time horizon of these emotional supply chain events. This methodology culminates in a unified knowledge graph that not only highlights the relationships between supply chain disruptions, affected corporations, and commodities but also quantifies the broader systemic implications of such market events that are revealed. Collectively, these innovations form a robust analytical tool for financial risk strategy, empowering stakeholders to navigate an ever-evolving financial global ecosystem with enhanced insights. This graph encapsulates multi-dimensional forces and enables stakeholders to anticipate and understand the broader causal implications of related supply chain and market events (such as economic sanctions’ impact on the energy, technology, and telecommunication sectors).
Delineating and Characterizing the Metropolitan Fringe Area of Shanghai—A Spatial Morphology Perspective
Authors: Xiong Weiting , Yang Junyan
Published: November 2023

The metropolitan fringe area is of great significance to a city’s future growth. However, relatively little attention has been paid to delineating and characterizing the metropolitan fringe area from a spatial morphology perspective, which contributes to the planning and design of metropolitan fringe areas. Therefore, the aim of this study is to develop a morphology–based method to delineate the metropolitan fringe area and investigate the characteristics of its spatial morphology. Drawing upon a large–scale dataset on the spatial morphology of Shanghai, this study finds that the metropolitan fringe area is generally circular in shape and is dominated by residential, industrial, agricultural and forestry land. The metropolitan fringe area accounts for 24.65% of the total area of Shanghai and is mainly located between its outer ring and suburban ring areas. The distributions of spatial characteristics of the metropolitan fringe area suggest that the area has a relatively lower level in terms of building height, building density, and development intensity. Furthermore, the metropolitan fringe area of Shanghai contains five key spatial elements, including residential and industrial clusters, shadow spaces accompanying clusters, corridor lines, green wedges, and surfaces. The interaction of the five spatial elements lays the foundation for the prototype of the spatial structure of the metropolitan fringe area of Shanghai, which is of great significance to understanding the heterogeneity within the metropolitan fringe area in terms of the distribution of spatial morphological characteristics. Such heterogeneity also needs to be considered in the planning and design of the metropolitan fringe area.
Effects of Climate and Land-Use Change on the Supply and Demand Relationship of Water Provision Services in the Yellow River Basin
Authors: Gao Fei , Luo Yi , Zhao Congju
Published: November 2023

The Yellow River Basin (YRB) has undergone profound climate and land-use change. These transformations are anticipated to affect the availability of water resources, potentially causing substantial perturbations to the equilibrium between water availability and societal needs. Consequently, research is warranted to explore the ramifications of climate and land-use change on the water provision service, particularly their impacts on the delicate equilibrium between supply and demand. To quantify the water supply–demand relationship, this study introduces the water supply and demand index (WSDR). This study examines the impacts of climate and land-use change on the actual evapotranspiration, water yield, and WSDR in the YRB from 1995 to 2019. According to the results, the YRB experienced an increase in forest land by 4.72%, grassland by 1.71%, and a substantial surge of 595.36% in construction land; however, cropland witnessed a decrease of 5.95%. The climate exhibited a discernible wetting trend (3.38 mm/year, p < 0.01). The actual evapotranspiration significantly increased by 2.45 mm/year (p < 0.01), but this increase was not substantial enough to result in a decline in the water yield, since precipitation also increased. The annual water demand depth demonstrated a statistically significant increasing trend (0.13 mm/year, p < 0.01), but this increase was not sufficient to cause a decrease in the WSDR, since the water yield also increased (0.94 mm/year). Land use had a significantly negative effect on the water yield and WSDR, but this negative effect was offset by the positive effects of climate variability. At the basin scale, there exists a surplus of water resources (WSDR > 0). Nevertheless, regions grappling with water resource deficits (WSDR < 0) have witnessed an increase from 18% in 1995 to 26% in 2019. This indicates that the primary water resource problem in the YRB is the uneven spatial distribution of water resources. Hence, implementing spatial management strategies at larger scales may be instrumental in mitigating water scarcity in the region. These findings can serve as a valuable reference for the management of water resources, as well as for basin planning and construction.
Evaluation of the Effectiveness of Water Ecological Restoration Based on the Relationship between the Supply and Demand of Ecological Products—A Case Study of the Yellow River Delta
Authors: Zhang Jianing , Duan Yeqing , Zhou Shenbei , Huang Yuanyuan
Published: November 2023

The imbalance between the supply and demand of ecological products between society and ecosystems is an important cause of a series of water ecological problems, and water ecological restoration projects aim to improve the above supply–demand relationship by means of inputs from the social side. For this reason, this paper takes the Yellow River Delta region as an example to launch a study on the assessment of the effectiveness of water ecological restoration projects from the perspective of the supply and demand of ecological products. Specifically, the level of the supply and demand of ecological products, as well as the relationship between the supply and the demand in the studied area, were measured using the equivalent factor approach and the water footprint approach, and the effects of the Yellow River Delta hydro-ecological restoration project were assessed by integrating the following four metrics: land use, supply of ecological products (ecosystem services), demand for ecological products, and the relationship between the supply of and demand for ecological products. The results of this study show that although the hydro-ecological restoration project continues to replenish water resources in the Yellow River Delta region, and promotes the level of ecological product supply in the study area through the restoration of wetlands and water, the growing and excessive demand for ecological products in the study area still puts the local ecosystems at risk of degradation. In the future, the Yellow River Delta region should continue to control the scale of land for production and living on the supply side of ecological products and increase its investment in water ecological restoration, while establishing a highly efficient mode of ecological product development and utilization and a reasonable mechanism for the payment of ecological products on the demand side. In addition, the Yellow River Delta region needs to pay attention to the impacts of rising sea levels and other climatic problems on ecological restoration.
Revealing the Adverse Impact of Additive Carbon Material on Microorganisms and Its Implications for Biogas Yields: A Critical Review
Authors: Kozłowski Michał , Igwegbe Chinenye Adaobi , Tarczyńska Agata , Białowiec Andrzej
Published: November 2023

Biochar could be a brilliant additive supporting the anaerobic fermentation process. However, it should be taken into account that in some cases it could also be harmful to microorganisms responsible for biogas production. The negative impact of carbon materials could be a result of an overdose of biochar, high biochar pH, increased arsenic mobility in the methane fermentation solution caused by the carbon material, and low porosity of some carbon materials for microorganisms. Moreover, when biochar is affected by an anaerobic digest solution, it could reduce the biodiversity of microorganisms. The purpose of the article is not to reject the idea of biochar additives to increase the efficiency of biogas production, but to draw attention to the properties and ways of adding these materials that could reduce biogas production. These findings have practical relevance for organizations seeking to implement such systems in industrial or local-scale biogas plants and provide valuable insights for future research. Needless to say, this study will also support the implementation of biogas technologies and waste management in implementing the idea of a circular economy, further emphasizing the significance of the research.
Research on the Moisture Stability of Asphalt Mixtures with Three Solid Waste Fillers
Authors: Hu Jinxuan , Chen Yuyi , Chen Meizhu , Yu Yang , Song Shiyu , Wu Jie , Qin Xiantao
Published: November 2023

Widespread interest has been drawn to the use of solid waste fillers as a partial replacement for natural fillers in high-performance asphalt mixtures in recent years. However, variations in the material properties of solid waste fillers remain a problem for the recycling method. To address this issue, the limestone powder in asphalt mixtures was replaced with three solid waste fillers, including steel slag powder, tailings powder and calcium carbide slag powder in this study. The chemical composition of the fillers was first characterized to assess the homogeneity of the material. Then, a dense-graded asphalt mixture (AC) and a stone matrix asphalt (SMA) mixture were designed, produced and characterized for wet stability. The results show that the asphalt mixtures with solid waste fillers were superior to limestone powder (LP) asphalt mixtures in terms of resistance to water damage, and the steel slag powder showed the best improvement in moisture stability of the asphalt mixtures. The optimum substitution of solid waste filler for limestone filler was 25%. With the addition of anti-stripping agents, the moisture stability of the asphalt mixture with limestone filler was also greatly enhanced. On the contrary, a marginal enhancement was observed in the moisture stability of asphalt mixtures using solid waste fillers. Solid waste fillers can be used in asphalt mixtures and have a similar function as that of anti-stripping agents. In summary, the use of solid waste fillers to replace mineral fillers in asphalt mixtures is a reliable, value-added recycling option.
Enhancing/Improving Forming Limit Curve and Fracture Height Predictions in the Single-Point Incremental Forming of Al1050 Sheet Material
Authors: Hoang Trung-Kien , Luyen The-Thanh , Nguyen Duc-Toan
Published: November 2023

Single-point incremental forming (SPIF) has emerged as a cost-effective and rapid manufacturing method, especially suitable for small-batch production due to its minimal reliance on molds, swift production, and affordability. Nonetheless, SPIF’s effectiveness is closely tied to the specific characteristics of the employed sheet materials and the intricacies of the desired shapes. Immediate experimentation with SPIF often leads to numerous product defects. Therefore, the pre-emptive use of numerical simulations to predict these defects is of paramount importance. In this study, we focus on the critical role of the forming limit curve (FLC) in SPIF simulations, specifically in anticipating product fractures. To facilitate this, we first construct the forming limit curve for Al1050 sheet material, leveraging the modified maximum force criterion (MMFC). This criterion, well-established in the field, derives FLCs based on the theory of hardening laws in sheet metal yield curves. In conjunction with the MMFC, we introduce a graphical approach that simplifies the prediction of forming limit curves at fracture (FLCF). Within the context of the SPIF method, FLCF is established through both uniaxial tensile deformation (U.T) and simultaneous uniform tensile deformation in bi-axial tensile (B.T). Subsequently, the FLCF predictions are applied in simulations and experiments focused on forming truncated cone parts. Notably, a substantial deviation in fracture height, amounting to 15.97%, is observed between simulated and experimental samples. To enhance FLCF prediction accuracy in SPIF, we propose a novel method based on simulations of truncated cone parts with variable tool radii. A FLCF is then constructed by determining major/minor strains in simulated samples. To ascertain the validity of this enhanced FLCF model, our study includes simulations and tests of truncated cone samples with varying wall angles, revealing a substantial alignment in fracture height between corresponding samples. This research contributes to the advancement of SPIF by enhancing our ability to predict and mitigate product defects, ultimately expanding the applicability of SPIF in diverse industrial contexts.
Increased Dynamic Drivetrain Performance by Implementing a Modular Design with Decentralized Control Architecture
Authors: Divens Niels , Tuerlinckx Théo , Westerhof Bernhard , Stockman Kurt , van Os David , Laurijssen Koen
Published: November 2023

This paper assesses the energy consumption, control performance, and application-specific functional requirements of a modular drivetrain in comparison to a benchmark drivetrain. A decentralised control architecture has been developed and validated using mechanical plant models. Simscape models have been validated with data from an experimental setup including an equivalent modular and benchmark drivetrain. In addition, the control strategy has been implemented and validated on the experimental setup. The results prove the ability of the control strategy to synchronize the motion of the different sliders, resulting in crank position tracking errors below 0.032 radians on the setup. The model and experimental data show an increased performance of the modular drivetrain compared to the benchmark drivetrain in terms of energy consumption, control performance, and functional requirements. The modular drivetrain is especially advantageous for machines running highly dynamic motion profiles due to the reduced inertia. For such motion profiles, an increased position tracking of up to 84% has been measured. In addition, it is shown that the modular drivetrain root mean square (RMS) torque is reduced with 32% compared to the benchmark drivetrain. However, these mechanical energy savings are partly counteracted by the higher motor losses seen in the modular drivetrain, resulting in potential electrical energy savings of around 29%.
Melt Pool Monitoring and X-ray Computed Tomography-Informed Characterisation of Laser Powder Bed Additively Manufactured Silver–Diamond Composites
Authors: Robinson John , Arafat Abul , Vance Aaron , Arjunan Arun , Baroutaji Ahmad
Published: November 2023

In this study, silver (Ag) and silver–diamond (Ag-D) composites with varying diamond (D) content are fabricated using laser powder bed fusion (L-PBF) additive manufacturing (AM). The L-PBF process parameters and inert gas flow rate are optimised to control the build environment and the laser energy density at the powder bed to enable the manufacture of Ag-D composites with 0.1%, 0.2% and 0.3% D content. The Ag and D powder morphology are characterised using scanning electron microscopy (SEM). Ag, Ag-D0.1%, Ag-D0.2% and Ag-D0.3% tensile samples are manufactured to assess the resultant density and tensile strength. In-process EOSTATE melt pool monitoring technology is utilised as a comparative tool to assess the density variations. This technique uses in-process melt pool detection to identify variations in the melt pool characteristics and potential defects and/or density deviations. The resultant morphology and associated defect distribution for each of the samples are characterised and reported using X-ray computed tomography (xCT) and 3D visualisation techniques. Young’s modulus, the failure strain and the ultimate tensile strength of the L-PBF Ag and Ag-D are reported. The melt pool monitoring results revealed in-process variations in the build direction, which was confirmed through xCT 3D visualisations. Additionally, the xCT analysis displayed density variations for all the Ag-D composites manufactured. The tensile results revealed that increasing the diamond content reduced Young’s modulus and the ultimate tensile strength.
ML-Enabled Piezoelectric-Driven Internal Defect Assessment in Metal Structures
Authors: Adeleye Daniel , Seyedi Mohammad , Ferdowsi Farzad , Raush Jonathan , Khattab Ahmed
Published: November 2023

With the growth of 3D printing in the production space, it is inevitable that quality assurance will be needed to keep final products within the constraints of requirements. Also, the variety of materials that can be used with 3D printing has increased over the years. Testing also must consider the process of manufacturing. This paper focuses its efforts on the finished product and not the process of manufacturing. Ultrasonic testing is a type of nondestructive testing. The experiments performed in this study aim to explore the usefulness of ultrasonic testing in materials that are 3D printed. The two materials used in this study are steel alloy metals and aluminum blocks of the same dimensions—120 mm × 40 mm × 15 mm. These materials represent common choices in additive manufacturing processes. The chosen alloys, such as Aluminum (6063T6) and grade-304 stainless steel, possess distinct properties crucial for validating the proposed testing method. Metal 3D-printed materials play a pivotal role in diverse industries, since ensuring their structural integrity is imperative for reliability and safety. Testing is crucial to identify and mitigate defects that could compromise the functionality and longevity of the final products, especially in applications with demanding performance requirements. An ultrasonic transducer is used to scan for subsurface defects within the samples and an oscilloscope is used to analyze the signals. Furthermore, several Machine Learning (ML) techniques are used to estimate the severity of the defects. The application of Machine Learning methods in the manufacturing industry has proven advantageous in terms of detecting defects due to its practicality and wide application. Due to their distinct benefits in processing image information, convolutional neural networks (CNNs) are the preferred method when working with picture data. In order to perform binary and multi-class classification, support vector machines that employ the alternative kernel function are a viable option for processing sensor signals and picture data. The study reveals that ultrasonic tests are viable for metallic materials. The primary objective of this work is to evaluate and validate the application of ultrasonic testing for the inspection of 3D-printed steel alloy metals and aluminum blocks. The novelty lies in the integration of Machine Learning techniques to estimate defect severity, offering a comprehensive and non-invasive approach to quality assessment in 3D-printed materials. The proposed method can successfully detect the presence of internal defects in objects, as well as estimate the location and severity of the defects.
Subclasses of Noshiro-Type Starlike Harmonic Functions Involving q-Srivastava–Attiya Operator
Authors: Murugusundaramoorthy Gangadharan , Vijaya Kaliappan , Breaz Daniel , Cotîrlǎ Luminiţa-Ioana
Published: November 2023

In this paper, the harmonic function related to the q-Srivastava–Attiya operator is described to introduce a new class of complex harmonic functions that are orientation-preserving and univalent in the open-unit disk. We also cover some important aspects such as coefficient bounds, convolution conservation, and convexity constraints. Next, using sufficiency criteria, we calculate the sharp bounds of the real parts of the ratios of harmonic functions to their sequences of partial sums. In addition, for the first time some of the interesting implications of the q-Srivastava–Attiya operator in harmonic functions are also included.
On the Convergence Rate of Quasi-Newton Methods on Strongly Convex Functions with Lipschitz Gradient
Authors: Krutikov Vladimir , Tovbis Elena , Stanimirović Predrag , Kazakovtsev Lev
Published: November 2023

The main results of the study of the convergence rate of quasi-Newton minimization methods were obtained under the assumption that the method operates in the region of the extremum of the function, where there is a stable quadratic representation of the function. Methods based on the quadratic model of the function in the extremum area show significant advantages over classical gradient methods. When solving a specific problem using the quasi-Newton method, a huge number of iterations occur outside the extremum area, unless there is a stable quadratic approximation of the function. In this paper, we study the convergence rate of quasi-Newton-type methods on strongly convex functions with a Lipschitz gradient, without using local quadratic approximations of a function based on the properties of its Hessian. We proved that quasi-Newton methods converge on strongly convex functions with a Lipschitz gradient with the rate of a geometric progression, while the estimate of the convergence rate improves with the increasing number of iterations, which reflects the fact that the learning (adaptation) effect accumulates as the method operates. Another important fact discovered during the theoretical study is the ability of quasi-Newton methods to eliminate the background that slows down the convergence rate. This elimination is achieved through a certain linear transformation that normalizes the elongation of function level surfaces in different directions. All studies were carried out without any assumptions regarding the matrix of second derivatives of the function being minimized.