bluuebunny/crossref_metadata_2025 huggingface dataset:
Genetics of 21-OH Deficiency and Genotype–Phenotype Correlation: Experience of the Hellenic National Referral Center
Authors: Fylaktou Irene , Mertzanian Anny , Farakla Ioanna , Gryparis Alexandros , Vasilakis Ioannis Anargyros , Binou Maria , Charmandari Evangelia , Kanaka-Gantenbein Christina , Sertedaki Amalia
Published: September 2024

21-hydroxylase deficiency (21-OHD) represents the most common form of congenital adrenal hyperplasia (CAH) due to CYP21A2 gene pathogenic variants. Τhe aim of this study was the identification of CYP21A2 variants in 500 subjects of Greek origin with a suspicion of 21-OHD and, by using the existing hormonal assessment and genotypes of the 500 subjects tested, to identify a biomarker that could differentiate between the heterozygotes and the cases with no pathogenic variants identified. Five hundred subjects with clinical suspicion of 21-OHD underwent CYP21A2 gene sequencing and Multiplex Ligation Dependent Probe Amplification (MLPA). Genetic diagnosis was achieved in 27.4% of the subjects tested, most of which presented with the non-classic form (NC) of 21-OHD. Heterozygotes accounted for 42.6% of cases, whereas no pathogenic variants were identified in 27% of cases. De novo aberrations, duplications, and five novel variants were also identified. Statistical analysis revealed that the difference between the basal and 60′ post-ACTH stimulation 17-hydroxyprogesterone concentrations (Δ17-OHP60-0) could be a potential biomarker (p < 0.05) distinguishing the heterozygotes from the cases with no pathogenic variants identified, although no clear cut-off value could be set. Further analysis revealed overlapping clinical manifestations among all the subjects tested. The presented phenotypic traits of the subjects tested and the inability to identify a discriminative biochemical marker highlight the importance of comprehensive CYP21A2 genotyping to ascertain the correct genetic diagnosis and proper genetic counselling.
Statistical Thermodynamic Description of Self-Assembly of Large Inclusions in Biological Membranes
Authors: De Virgiliis Andres , Meyra Ariel , Ciach Alina
Published: September 2024

Recent studies revealed anomalous underscreening in concentrated electrolytes, and we suggest that the underscreened electrostatic forces between membrane proteins play a significant role in the process of self-assembly. In this work, we assumed that the underscreened electrostatic forces compete with the thermodynamic Casimir forces induced by concentration fluctuations in the lipid bilayer, and developed a simplified model for a binary mixture of oppositely charged membrane proteins with different preference to liquid-ordered and liquid-disordered domains in the membrane. In the model, like macromolecules interact with short-range Casimir attraction and long-range electrostatic repulsion, and the cross-interaction is of the opposite sign. We determine energetically favored patterns in a system in equilibrium with a bulk reservoir of the macromolecules. Different patterns consisting of clusters and stripes of the two components and of vacancies are energetically favorable for different values of the chemical potentials. Effects of thermal flutuations at low temperature are studied using Monte Carlo simulations in grand canonical and canonical ensembles. For fixed numbers of the macromolecules, a single two-component cluster with a regular pattern coexists with dispersed small one-component clusters, and the number of small clusters depends on the ratio of the numbers of the molecules of the two components. Our results show that the pattern formation is controlled by the shape of the interactions, the density of the proteins, and the proportion of the components.
Exploring miRNA Biomarkers in Major Depressive Disorder: A Molecular Medicine Perspective
Authors: Prodan-Bărbulescu Cătălin , Ghenciu Laura Andreea , Şeclăman Edward , Bujor Georgeta Cristiana , Enătescu Virgil , Danila Alexandra-Ioana , Dăescu Ecaterina , Rosu Luminioara Maria , Faur Ionuţ Flaviu , Tuţac Paul , Varga Norberth-Istvan , Sonia Tanasescu , Duță Ciprian
Published: September 2024

Major depressive disorder (MDD) is a complex mental health condition with a multifaceted and incompletely elucidated pathophysiology. MicroRNAs (miRNAs) have emerged as potential biomarkers due to their role in gene regulation and the observed dysregulation in MDD. The aim of this study is to detect the presence of specific molecular diagnostic biomarkers in major depressive disorder. This cross-sectional study analyzed plasma miRNA expression in ten MDD patients and eight healthy controls using real-time PCR. Differentially expressed miRNAs were identified using independent t-tests, and their diagnostic potential was assessed with ROC curve analysis. Fifteen miRNAs exhibited significant dysregulation in MDD patients. Notably, hsa-miR-29c-3p, hsa-miR-376a-3p, hsa-miR-532-5p, and hsa-miR-339-5p showed excellent discriminatory power (AUC > 0.8). This study identifies differentially expressed plasma miRNAs in MDD, suggesting their potential for improved diagnosis and personalized treatment. However, further validation in larger cohorts and investigation into their functional roles are warranted.
Long COVID: A Narrative Review and Meta-Analysis of Individual Symptom Frequencies
Authors: Atchley-Challenner Rachel , Strasser Zachary , Krishnamoorthy Aparna , Pant Deepti , Chibnik Lori B. , Karlson Elizabeth W.
Published: September 2024

Objective: To summarize the prevalence of Long COVID symptoms among the general population reported in published articles from the pre-omicron SARS-CoV2 era. This narrative review examined 21 symptoms. Methods: A PubMed/manual search returned 114 articles on general Long COVID symptoms. Manuscripts were excluded if they were not research studies, did not report symptom prevalence, or used a pediatric population. Ninety-eight studies were selected for review and fifty-nine met the criteria for inclusion. The risk of bias was assessed with the Hoy critical appraisal tool. Results: After excluding studies with a high risk of bias, meta-analysis of prevalence for 21 symptom categories ranged from 2.6–28.7% in studies based on surveys to 0.3–7.1% in studies based on electronic health record data. Conclusions: Long COVID symptom studies are limited by the variability in study design and representation of the general population. Further research is needed to effectively cluster symptoms in meaningful ways that enable focused treatment.
A Social Determinants Perspective on Adolescent Mental Health during the COVID-19 Pandemic
Authors: Taylor Mischa , Hilario Carla T. , Ben-David Shelly , Dimitropoulos Gina
Published: September 2024

As a framework for understanding the structural factors that affect health, the social determinants of health (SDoH) have particular significance during the developmental stage of adolescence. When the global coronavirus pandemic (COVID-19) began, public health measures (PHMs) implemented to curb its spread shifted adolescents’ daily lives and routines, initiating changes to their mental health. The purpose of this study was to apply the SDoH to investigating the impacts of the pandemic-related PHMs on the mental health of adolescents in Canada. Using a youth engagement approach, interviews were conducted with 33 adolescents aged 14–19 years from two sites in Alberta, Canada. Participants shared their experiences of adjusting to the PHMs and how these shaped their mental health. Findings indicate that PHMs particularly affected the social determinants of education, access to health services, employment and income security, and social support amongst adolescents as online schooling, loss of connection with peers, income instability, and limited health services affected their mental health. Most commonly, adolescents expressed feeling greater anxiety, depression, or loneliness as the SDoH shifted with the PHMs. As we continue to understand the mental health impacts of the pandemic, the SDoH framework can be used to identify salient social determinants and evaluate these determinants post-pandemic. This study draws attention to the need for policies and programs that protect access to key SDoH at such a critical life stage as adolescence and promote their mental health resilience in shifting SDoH contexts.
Incubation Periods of SARS-CoV-2 Wild-Type, Delta, and Omicron Variants–Dominant Periods in Singapore
Authors: Conceicao Edwin Philip , Xu Yingqi , Chan Sze Ling , Jin Yee Shoon , Yue Yang , Arora Shalvi , Ong Marcus Eng Hock , Sim Jean Xiang Ying , Venkatachalam Indumathi
Published: September 2024

This study in Singapore analysed the incubation periods of the following SARS-CoV-2 variants: Wuhan-Hu-1, Delta, and Omicron. Three pandemic waves were examined: Wuhan-Hu-1 (January 2020–March 2021), Delta (May–October 2021), and Omicron (January–June 2022). Data from the SingHealth COVID-19 registry, covering patients from 23 January 2020 to 10 June 2022, were used to calculate incubation periods during the three time periods. The study found median incubation periods of 11 days for Wuhan-Hu-1, 3 days for Delta, and 3 days for Omicron (p-value: <0.001). This study highlighted the impact of different containment measures and the importance of robust EMR systems for tracking and managing infectious diseases. Key challenges included accurate contact tracing and IT infrastructure capabilities. The findings support the use of EMR data for future infectious disease preparedness in Singapore.
Monitoring the Response of Cyclin-Dependent Kinase 4/6 Inhibitors with Mean Corpuscular Volume
Authors: Kurt İnci Bediz , Kubilay Tolunay Pınar , Öztekin Şura , Aydemir Ergin , Öner İrem , Ateş Öztürk , Karaçin Cengiz
Published: September 2024

Background: Currently, the combination of cyclin-dependent kinase 4/6 (CDK4/6) inhibitors and endocrine therapy is a first-line treatment for hormone-receptor-positive and HER2-negative metastatic breast cancer. This study aimed to assess the impact of changes in Mean Corpuscular Volume (MCV) on predicting responses to treatment and survival in patients with hormone-receptor-positive, HER2-negative metastatic breast cancer receiving CDK4/6 inhibitors and endocrine therapy. Methods: Retrospectively, data on hemoglobin levels, MCV, B12, folate levels, and survival times were collected from 275 patients. Patients were categorized into two groups based on the degree of MCV change (delta MCV ≤ 10 vs. >10). Kaplan–Meier survival analysis was performed, with significance set at p < 0.05. Results: The average age of the patients was 56.1 ± 12.1 years. In total, 72.7% received CDK4/6 inhibitors as first-line treatment, while 27.3% received them as second-line treatment. Before CDK4/6 inhibitor use, the median MCV level was 87.7 fL (IQR: 83–91), which increased to 98 fL (IQR: 92–103) after treatment (p < 0.001). ECOG performance score, CDK4/6 inhibitor treatment line, type of endocrine therapy, and MCV change were identified as independent predictors of progression-free survival in the Cox regression model. The median progression-free survival for the entire group was 28 months. Patients with MCV delta > 10 had a median progression-free survival of 33 months, compared to 23 months for those with MCV delta ≤ 10 (p = 0.029). There was no significant difference in median overall survival times between the two groups (p = 0.158). Conclusion: This study highlights that patients with MCV delta > 10 had longer median progression-free survival compared to those with MCV delta ≤ 10.
Factors That Affect the Acceptance of Educational AI Tools by Greek Teachers—A Structural Equation Modelling Study
Authors: Velli Katerina , Zafiropoulos Kostas
Published: September 2024

The discussion around integrating AI technologies into educational practice is current among scholars and in sociopolitical circles. This study examines the factors influencing teachers’ acceptance of educational AI tool (EAIT) use, aiming to inform the development of a pedagogical framework for the responsible integration of AI tools in education. A conceptual model was developed by amalgamating constructs of TAM (perceived usefulness and perceived ease of use) and UTAUT (social influence and facilitating conditions) while integrating the variables of perceived trust and personal innovativeness and considering the impact of teachers’ pedagogical beliefs. A total of 342 Greek teachers participated in the quantitative survey conducted. The proposed model was evaluated using partial least squares structural equation modelling (PLS-SEM). The findings illuminated perceived usefulness as the most significant predictor of teachers’ behavioural intention to use EAIT. The research also revealed that social influence and personal innovativeness exert considerable influence. While constructivist pedagogical beliefs were found to have no direct impact on EAIT acceptance, the results indicated that educators who embrace those teaching methods exhibit a high propensity to perceive EAIT as useful and trustworthy. Furthermore, the study’s analysis demonstrated that trust had a significantly positive effect on usefulness, and innovativeness influences positively and significantly both usefulness and ease of use.
Exploring the Lived Experiences of Home-Educating Families with Young Children in the UK: The Untold Stories
Authors: Zhang Kaili C. , Gibson Lindsay
Published: September 2024

Recent trends indicate a significant increase in the number of families opting for home education in the UK, yet research dedicated to this area remains limited. Moreover, there is a notable scarcity of studies focusing on the lived experiences of home-educating families of young children. Amidst this context, a new conceptual framework was developed combining the portraiture approach and the life course theory to study five families with young children in the UK. Semi-structured interviews, observations, and curriculum document analysis were used to gain insights into these families’ experiences. The study revealed diverse motivations driving parents to choose home education, including concerns about the traditional education system, a preference for personalized learning, and personal lifestyle choices and ideologies. The research data presented suggests that participants had diverse and dynamic daily routines shaped by their unique educational philosophies. In general, parents consistently sought beneficial opportunities to foster their children’s social development. Challenges participants faced included curriculum suitability, financial burdens, and managing dual roles within the home. However, participants viewed these challenges as worthwhile because their main aim of educating their children in a purposeful manner was being met. In line with the theme of parental autonomy in education, parents shared their belief in the freedom for families to educate their children outside traditional schools. They supported flexi-schooling, advocated for accessible resources, the inclusion of home-educated children in assessments, and government funding provision.
The Association between Hyperactivity and Suicidal Behavior and Attempts among Children Referred from Emergency Departments
Authors: Shahnovsky Oren , Apter Alan , Barzilay Shira
Published: September 2024

The global prevalence of suicidal behaviors in children is rising, with attention-deficit hyperactivity disorder (ADHD) proposed as a contributing factor. This study examines the association between ADHD facets (hyperactivity and inattention) and suicidal behavior and attempts in children. Additionally, it seeks to compare self-reported ADHD symptoms and suicide-related incidents with parental reports. A cohort of 71 children referred from emergency departments due to suicidal thoughts and behaviors completed self- and parental report questionnaires. The results revealed that elevated hyperactivity scores, surpassing the ADHD diagnosis threshold, were significantly associated with increased rates of suicidal behavior. Hyperactivity demonstrated a stronger association with lifetime suicide attempts compared to inattention. Moreover, children’s self-reported ADHD symptoms exhibited a stronger correlation with suicide attempts than parental reports. This study highlights the critical role of hyperactivity in understanding suicidal behaviors among children with ADHD. It underscores the importance of considering hyperactivity-related symptoms in assessment and treatment approaches for suicidal behavior in this population.
Prediction of Energy Consumption and Carbon Dioxide Emissions in Gansu Province of China under the Background of “Double Carbon”
Authors: Duan Mingchen , Duan Yi
Published: September 2024

Gansu Province in China has the characteristics of an underdeveloped economy, low forest carbon sink, and rich non-fossil energy, making it a typical area for research to achieve the “double carbon” target. In this paper, the primary energy consumption and carbon emissions and their development trends in Gansu Province during the “double carbon” target period were predicted by the fixed-base energy consumption elasticity coefficient method, and the possibility of achieving the “double carbon” target in Gansu Province was explored. In the three hypothetical scenarios, it was estimated that the total primary energy consumption of Gansu Province will be 91.9–94.81 million tons of standard coal by 2030 and 99.35–110.76 million tons of standard coal by 2060. According to the predicted share of different energy consumption in Gansu Province, the CO2 emissions of Gansu Province in the three scenarios were calculated and predicted to be between 148.60 and 153.31 million tons in 2030 and 42.10 and 46.93 million tons in 2060. The study suggests that Gansu Province can reach the carbon peak before 2030 in the hypothetical scenarios. However, to achieve the goal of carbon neutrality by 2060, it was proposed that, in addition to increasing carbon sinks by afforestation, it is also necessary to increase the share of non-fossil energy. As long as the share is increased by 0.3% on the basis of 2030, the goal of carbon neutrality by 2060 in Gansu Province can be achieved. The results show that the increase in the share of non-fossil energy consumption is the most important way to achieve the goal of carbon neutrality in Gansu Province, and it also needs to be combined with the optimization of industrial structure and improvement of technological progress. Based on the research results, some countermeasures and suggestions are put forward to achieve the goal of carbon neutrality in Gansu Province.
Integrated Energy System Load Forecasting with Spatially Transferable Loads
Authors: Ding Zhenwei , Qing Hepeng , Zhou Kaifeng , Huang Jinle , Liang Chengtian , Liang Le , Qin Ningsheng , Li Ling
Published: September 2024

In the era of dual carbon, the rapid development of various types of microgrid parks featuring multi-heterogeneous energy coupling presents new challenges in accurately modeling spatial and temporal load characteristics due to increasingly complex source–load characteristics and diversified interaction patterns. This study proposes a short-term load forecasting method for an interconnected park-level integrated energy system using a data center as the case study. By leveraging spatially transferable load characteristics and the heterogeneous energy correlation among electricity–cooling–heat loads, an optimal feature set is selected to effectively characterize the spatial and temporal coupling of multi-heterogeneous loads using Spearman correlation analysis. This optimal feature set is fed into the multi-task learning (MTL) combined with the convolutional neural network (CNN) and long- and short-term memory (LSTM) network model to generate prediction results. The simulation results demonstrate the efficacy of our proposed approach in characterizing the spatial and temporal energy coupling across different parks, enhancing track load “spikes” and achieving superior prediction accuracy.
The Attractiveness of Regional Transport as a Direction for Improving Transport Energy Efficiency
Authors: Miechowicz Wojciech , Kiciński Marcin , Miechowicz Izabela , Merkisz-Guranowska Agnieszka
Published: September 2024

One of the ways to improve energy efficiency in transportation is through efforts aimed at increasing the usage of public transportation by residents. This, in turn, is closely related to residents’ preferences. One of the most frequently cited factors influencing the attractiveness and quality of public transportation is the frequency of connections. This is important not only for urban transport but also regional transport, which has significantly lower passenger flows. This paper aims to present how the frequency of connections affects the attractiveness of regional transport. An original method for determining the attractiveness of public transport, based on the share of adult, senior, and youth passengers with single tickets and monthly passes, is introduced. The results of research on the structure of passengers and flows to/from the district center are presented. Based on the research results, attractiveness factors are calculated for each town. The statistical analysis clearly indicates there is a strong correlation between the attractiveness of regional transport and the frequency of connections (Rs = 0.807, p = 0.001). Moreover, for every connection increase, the number of adult passengers will increase by an average of 1.5. Assuming that these additional passengers switch from individual to public transportation, the resulting reduction in energy consumption due to an increase of one connection is 0.33–0.69 kWh for each kilometer traveled by these passengers.
Convex Hull Pricing for Unit Commitment: Survey, Insights, and Discussions
Authors: Hyder Farhan , Yan Bing , Bragin Mikhail , Luh Peter
Published: September 2024

Energy prices are usually determined by the marginal costs obtained by solving economic dispatch problems without considering commitment costs. Hence, generating units are compensated through uplift payments. However, uplift payments may undermine market transparency as they are not publicly disclosed. Alternatively, energy prices can be obtained from the unit commitment problem which considers commitment costs. But, due to non-convexity, prices may not monotonically increase with demand. To resolve this issue, convex hull pricing has been introduced. It is defined as the slope of the convex envelope of the total cost function over the convex hull of a unit commitment (UC) problem. Although several approaches have been developed, a relevant survey has not been found to aid the understanding of convex hull pricing from the current limited literature. This paper provides a systematic survey of convex hull pricing. It reviews, compares, and links various existing approaches, focusing on the modeling and computation of convex hull prices. Furthermore, this paper explores potential areas of improvement and future challenges due to the ongoing efforts for power system decarbonization.
Energy Storage Management Using Artificial Intelligence to Maximize Polish Energy Market Profits
Authors: Świrski Konrad , Błach Piotr
Published: September 2024

Along with the growing renewable energy sources sector, energy storage will be necessary to stabilize the operation of weather-dependent sources and form the basis of a modern energy system. This article presents the possibilities of using energy storage in the energy market (day-ahead market and balancing market) in the current market conditions in Poland after reforming the balancing market in June 2024. The current state of the markets is characterized by high price volatility, which can ensure the high profitability of storage operations. However, very flexible and self-adaptive algorithms for charging and discharging are required, taking advantage of market price spreads. This study aimed to see if, through a solution based on ChatGPT 4o, energy storage operations can be planned by taking maximum advantage of the existing price spreads in the market. Previous analyses in this area have focused on complex models that predicted prices in the markets and planned the plant’s operation on this basis. In this case, the simple model used (charging and discharging based on historical prices) resulted in profits of EUR 90/MWh, while in the second case, when holidays, weather, and demand forecasts were taken into account, the profit was EUR 150–180/MWh, which exceeds the current Levelized Cost of Electricity of storage estimated at around EUR 100/MWh. These analyses indicated that modern genAI tools are appropriate for further study, especially as the technology dramatically increases its capabilities.
A Novel Approach to Enhancing the Determination of Primary Indicators in Non-Idealised Absorption Chillers
Authors: L. Szabó Gábor
Published: September 2024

The accurate optimisation of absorption chillers is often impeded by idealised models that overlook system interactions and machine complexities. This study introduces a validated mathematical description for predicting the primary indicators of non-idealised absorption chillers, accounting for factors such as the electrical work of the Solution Circulation Pump, entropy changes within the refrigerant cycle, and exergy losses. Validation against 13 years of data (2008–2021) from the University of Debrecen’s absorption chiller indicated close agreement, with deviations within acceptable limits. The use of a solution heat exchanger shifted cooling indicators towards their minima. Sensitivity analyses indicated that a 2.5% reduction in condenser temperature increased COP by 41.3% and Cooling Exergetic Efficiency by 15.5%, while a 2.5% reduction in the Heat Fraction Factor improved both by 34%. Adjusting absorber temperature and Heat Fraction Factor down by 2.5%, alongside a 2.5% rise in generator temperature, resulted in a 100.8% increase in COP and a 52.8% boost in Cooling Exergetic Efficiency. These insights provide a solid foundation for future optimisation strategies in real-life absorption chiller systems.
Enhancing the Energy Performance of a Gas Turbine: Component of a High-Efficiency Cogeneration Plant
Authors: Grigore Roxana , Hazi Aneta , Banu Ioan Viorel , Popa Sorin Eugen , Vernica Sorin Gabriel
Published: September 2024

Cogeneration is widely recognized as one of the most efficient methods of electricity generation, with gas turbine-based systems playing a critical role in ensuring reliability, sustainability, and consistent power output. This paper presents an energy efficiency analysis of a 14 MW high-efficiency cogeneration unit, featuring a modernized gas turbine as its core component. Since gas turbines often operate under varying loads due to fluctuating demand, this study examines their performance at 100%, 75%, and 50% load levels. It is observed that the efficiency of the gas turbine declines as the load decreases, primarily due to losses resulting from deviations from the design flow conditions. A detailed energy balance, Sankey diagram, and a comparative analysis of performance metrics against the manufacturer’s guarantees are provided for each load scenario. The results indicate that net thermal efficiency decreases by 10.7% at 75% load and by 30.6% at 50% load compared to nominal performance at full load. The performance at full load closely aligns with the values guaranteed by the gas turbine supplier. The gross electrical power output is 1.33% higher than the guaranteed value, and the thermodynamic circuit’s efficiency is 0.49% higher under real conditions. This study represents the initial phase of transitioning the turbine to operate on a fuel blend of natural gas and up to 20% hydrogen, with the goal of reducing CO2 emissions. As a novel contribution, this paper provides a systematized method for calculating and monitoring the in-service performance of gas turbines. The mathematical model is implemented using the Mathcad Prime 8.0 software, which proves to be beneficial for both operators and researchers.
Effect of Reactive Power Generation in Photovoltaic Installations on the Voltage Value at the Inverter Connection Point
Authors: Hołdyński Grzegorz , Skibko Zbigniew , Borusiewicz Andrzej , Marczuk Andrzej , Koniuszy Adam
Published: September 2024

Worldwide, photovoltaic installations are making an increasing contribution to electric energy generation. These are power-unstable sources due to the rapid and frequent change in insolation. As a result, a common problem noted in low-voltage power grids is that the permitted voltage values at the source connection point are exceeded. There are several methods of limiting the voltage values present at the inverter. One of them is the generation of reactive power in a photovoltaic installation. In the literature, one can find many relationships that allow one to determine the increase in voltage caused by the change in reactive power, where the imaginary part of the voltage loss is omitted as insignificant. The authors’ research has shown that this can lead to significant errors. Omitting the imaginary value causes the determined values to be even more than 4.5 times smaller—these differences increase with the length of the line. The analyses carried out by the authors show that the determination of voltage increments with and without taking into account the imaginary part of the voltage loss in the calculations differs from the values determined via computer simulation (failure to take into account the imaginary part results in calculated values of voltage increase being lower than the values determined via a computer by about 40% on average).
Methodological Review of Methods and Technology for Utilization of Spent Carbon Cathode in Aluminum Electrolysis
Authors: Zhou Liuzhou , Yao Zhen , Sun Ke , Tian Zhongliang , Li Jie , Zhong Qifan
Published: September 2024

Spent carbon cathode (SCC) is one of the major hazardous solid wastes generated during the overhaul of electrolysis cells in the aluminum production process. SCC is not only rich in carbon resources but also contains soluble fluoride and cyanide, which gives it both recycling value and significant leaching toxicity. In this study, we explore the properties, emissions, and disposal strategies for SCC. Pyrometallurgy involves processes such as vacuum distillation, molten salt roasting, and high-temperature roasting. Hydrometallurgy describes various methods used to separate valuable components from leachate and prepare products. Collaborative disposal plays a positive role in treating SCC alongside other solid wastes. High-value utilization provides an approach to make full use of high-purity carbon-based materials. Finally, we analyze and summarize future prospects for the disposal of SCC. This study aims to contribute to the large-scale treatment and resource utilization of SCC while promoting circular economy principles and green development initiatives.
Count Random Variables
Authors: Mendonça Sandra , Oliveira António Alberto , Pestana Dinis , Rocha Maria Luísa
Published: September 2024

The observation of randomness patterns serves as guidance for the craft of probabilistic modelling. The most used count models—Binomial, Poisson, Negative Binomial—are the discrete Morris’ natural exponential families whose variance is at most quadratic on the mean, and the solutions of Katz–Panjer recurrence relation, aside from being members of the generalised power series and hypergeometric distribution families, and this accounts for their many advantageous characteristics. Some other basic count models are also described, as well as models with less obvious but useful randomness patterns in connection with maximum entropy characterisations, such as Zipf and Good models. Simple tools, such as truncation, thinning, or parameter randomisation, are straightforward ways of constructing other count models.
Biorefinery Based on Multiple Raw Materials and Wastes for the Production of Energy: A Proposal Tailored to Southwestern Europe
Authors: Nogales-Delgado Sergio , Álvez-Medina Carmen María , González González Juan Félix
Published: September 2024

In this entry, the possibility of the implementation of a biorefinery based on multiple raw materials (from agricultural wastes, vegetable oils, etc.) is covered, pointing out the available technology to interconnect different processes so that the atom economy of the process is as high as possible, reducing the environmental impact and improving the efficiency of the energy or products obtained. For this purpose, this model is based on previous works published in the literature. The role of biorefineries is becoming more and more important in the current environmental scenario, as there is a global concern about different environmental issues such as climate change due to GHG emissions, among others. In this sense, a biorefinery presents several advantages such as the use of natural raw materials or wastes, with high atom economy values (that is, all the products are valorized and not released to the environment). As a consequence, the concept of a biorefinery perfectly fits with the Sustainable Development Goals, contributing to the sustainable growth of different regions or countries, regardless of their stage of development. The aim of this entry is the proposal of a biorefinery based on multiple raw materials, using different technologies such as transesterification to produce both biodiesel and biolubricants, steam reforming to produce hydrogen from glycerol or biogas, hydrothermal carbonization of sewage sludge to produce hydrochar, etc. As a result, these technologies have potential for the possible implementation of this biorefinery at the industrial scale, with high conversion and efficiency for most processes included in this biorefinery. However, there are some challenges like the requirement of the further technological development of certain processes. In conclusion, the proposed biorefinery offers a wide range of possibilities to enhance the production of energy and materials (hydrogen, biodiesel, biolubricants, different biofuels, hydrochar, etc.) through green technologies, being an alternative for petrol-based refineries.
MongoDB: Meeting the Dynamic Needs of Modern Applications
Authors: Rathore Mukesh , Bagui Sikha S.
Published: September 2024

This entry reviews MongoDB’s fundamentals, architectural features, advantages, and limitations, providing a comprehensive understanding of its capabilities. MongoDB’s impact on the database landscape is profound, challenging traditional relational databases and influencing the adoption of NoSQL solutions globally. With its continued growth, innovation, and commitment to addressing evolving market needs, MongoDB remains a pivotal player in modern data management, empowering organizations to build scalable, efficient, and high-performance applications.
On the Origins of Hamilton’s Principle(s)
Authors: Bussotti Paolo , Capecchi Danilo , Ruta Giuseppe
Published: September 2024

This entry first provides an overview of the historical, cultural and epistemological background that is key for Hamilton’s positions on mechanics. We consider the investigations on geometrical optics in the 17th and 18th centuries, Euler’s and Lagrange’s foundations of variational calculus in the 18th century to find extrema of physical quantities expressed as infinite sums of infinitesimals (today, we would say ‘definite integrals’), and Lagrange’s introduction of a revolutionary analytical mechanics, all of which are all fertile grounds for Hamilton’s steps—first, in what we could call analytical optics, then in an advanced form of analytical mechanics. Having provided such an overview, we run through some of Hamilton’s original papers to highlight how he posed his principle(s) in the wake of his forerunners and how his principles are linked with the search for a unitary view of physics.
Finite Element Analysis of Pre-Stressed Ultra High-Performance Concrete (UHPC) Girders
Authors: Haghighi Homa , Urgessa Girum
Published: September 2024

This paper presents a comprehensive finite element analysis (FEA) of pre-stressed Ultra High-Performance Concrete (UHPC) girders, showcasing intricate structural behaviors under various loading conditions. Utilizing advanced finite element modeling techniques, the study accurately simulates the flexural response of UHPC girders, integrating experimental results from large-scale laboratory tests conducted by researchers at the Turner-Fairbank Highway Research Center. This paper shows the effectiveness of simulating pre-stressing forces via initial equivalent temperature load with relatively accurate stress and strain predictions. The paper also delves into the moment–deflection relationships at critical stages, such as first concrete crack appearance, yielding, and strain localization, to capture the non-linear behavior of UHPC girders under pre-stressed conditions. Additionally, crack propagations were characterized by investigating the damage in tension (DAMAGET) plots. In summary, the results of the finite element model agree well with the experimental observations. Moreover, this study not only demonstrates the effectiveness of FEA in accurately simulating the complex structural behaviors of UHPC girders but also highlights its broader applicability to the design and analysis of other girder types, offering valuable insights compared to ordinary concrete beams.
Chemical Analysis and Antioxidant Capacity of the Stages of Lignocellulosic Ethanol Production from Amazonian Fruit Industrial Waste
Authors: Pantoja Gabriela Vieira , Oliveira Johnatt Allan Rocha de
Published: September 2024

Abstract: The production of ethanol from wastes resulting from the process of growing Amazonian fruit is a little-explored approach, in which unknown chemical compounds are released with potential for industrial application. This work aimed to produce lignocellulosic ethanol from waste from Amazonian fruit farming and to chemically characterize the stages of the process. The wastes (açaí seeds, mango peel, and peach palm peel) were pretreated with 1% to 5% H2SO4 and 15% solids; the resulting solid fraction was enzymatically hydrolyzed with cellulase at 20 FPU, and the liquid fraction (liqueurs) and enzymatic and fermented hydrolysates produced were chemically characterized. Via HPLC for sugars and fermentation inhibitors, we determined the antioxidant capacities and total phenolic compounds. The liquors from the pretreatment of açaí seeds released the most significant amount of glucose, while in the hydrolyzed solid fractions, the mango peel produced the highest glucose content. Among the fermented liquors, the highest ethanol content was the açaí seed at 15 and 5% (0.183–0.276 g/L). High glucose levels were produced (0.09–25.05 g/L) and provided ethanol levels that can be improved (0.061–10.62 g/L), in addition to liquors and hydrolysates with interesting amounts of phenolic compounds (14.04–131.87 mg EAG/g DM) and high antioxidant capacities (417.78–2774.07 mmol TEAC/g), demonstrating that these wastes can have other applications in addition to ethanol production.
Microbial Biocapsules as Generally Recognized-As-Safe Fungal-Based Immobilized Cell Technology for Precision Sequential Fermentations of Grape Must
Authors: Carbonero-Pacheco Juan , Constanta-Mustafa Florina , Muñoz-Castells Raquel , Mauricio Juan Carlos , Moreno Juan , García-Martínez Teresa , Moreno-García Jaime
Published: September 2024

This work focuses on the production of a white wine with a specific organoleptic profile by means of sequential fermentation using immobilized yeast in a system known as “microbial biocapsules”. Three fermentation conditions were created: sequential fermentation with immobilized yeast (SqFMB) employing a matrix composed by Aspergillus oryzae (pellet-forming fungus recognized as GRAS), sequential fermentations with non-immobilized yeast cells (SqF), and a control of spontaneous fermentation (SpF). To carry out these fermentations, Pedro Ximénez grape must was used and two non-Saccharomyces yeast strains, Debaryomyces hansenii LR1 and Metschnikowia pulcherimma Primaflora, and the Saccharomyces cerevisiae X5 strain were used. The wines produced were subjected to microbiological and chemical analyses in which metabolites that positively influence the wine profile, such as 1,1-diethoxyethane and decanal, are only produced in the SqFMB condition, and others, like nonanal, were detected in higher concentrations than in SqF and SpF. Microbiological analyses show that less non-Saccharomyces yeasts were isolated in the SqFMB condition than in SqF, which indicates an efficiency in the inoculation and removal method proposed. These results conclude that microbial biocapsules seem to be a good yeast carrier for wine elaboration; however, modulation of some variables like yeast concentration inocula, the employment of preadaptation methods or the use of yeast species with higher fermentative power need to be tested to improve the novel methodology.
Predicting Missing Values in Survey Data Using Prompt Engineering for Addressing Item Non-Response
Authors: Ji Junyung , Kim Jiwoo , Kim Younghoon
Published: September 2024

Survey data play a crucial role in various research fields, including economics, education, and healthcare, by providing insights into human behavior and opinions. However, item non-response, where respondents fail to answer specific questions, presents a significant challenge by creating incomplete datasets that undermine data integrity and can hinder or even prevent accurate analysis. Traditional methods for addressing missing data, such as statistical imputation techniques and deep learning models, often fall short when dealing with the rich linguistic content of survey data. These approaches are also hampered by high time complexity for training and the need for extensive preprocessing or feature selection. In this paper, we introduce an approach that leverages Large Language Models (LLMs) through prompt engineering for predicting item non-responses in survey data. Our method combines the strengths of both traditional imputation techniques and deep learning methods with the advanced linguistic understanding of LLMs. By integrating respondent similarities, question relevance, and linguistic semantics, our approach enhances the accuracy and comprehensiveness of survey data analysis. The proposed method bypasses the need for complex preprocessing and additional training, making it adaptable, scalable, and capable of generating explainable predictions in natural language. We evaluated the effectiveness of our LLM-based approach through a series of experiments, demonstrating its competitive performance against established methods such as Multivariate Imputation by Chained Equations (MICE), MissForest, and deep learning models like TabTransformer. The results show that our approach not only matches but, in some cases, exceeds the performance of these methods while significantly reducing the time required for data processing.
Replacement of Fish Meal with Crustacean Meals in Diets for Long-Snouted Seahorse, Hippocampus guttulatus: Digestibility and Growth Performance
Authors: Palma Jorge , Correia Miguel , Andrade José Pedro , Bureau Dominique
Published: September 2024

This study investigated the effect of partially replacing fish meal with krill and copepod meals in inert diets co-fed with shrimp on the growth and nutrient digestibility of long-snout seahorses (Hippocampus guttulatus). A control diet (Diet 1) using raw starch and four experimental diets with similar protein (≈44.8%) and energy (≈15.1 MJ/kg) levels were tested. Diet 2 used fish meal as the sole protein source, while in Diets 3–5, krill and copepod meals replaced 44% of the fish meal. Seahorses fed shrimp + Diets 2–5 showed significantly higher growth rates (p < 0.05) than those fed shrimp + Diet 1, though there were no significant growth differences among Diets 2–5. Digestibility of dry matter (46.1% to 72.2%), lipids (73.3% to 85.5%), crude protein (89.8% to 95.8%), energy (82% to 92.2%), and phosphorus (28.7% to 64.4%) varied with diet, being consistently lower in seahorses fed shrimp + Diet 1. As an agastric species, H. guttulatus did not exhibit impaired digestibility for any of the tested nutrients, minerals, or energy. This study suggests that crustacean meals can effectively substitute fish meal in inert diets for this species, contributing to the sustainability and optimization of captive seahorse husbandry practices.
Molecular Mechanism of Radioresponsiveness in Colorectal Cancer: A Systematic Review
Authors: Lau Matthew , Islam Khan Md , Law Helen
Published: September 2024

Background/Objectives: Colorectal cancer (CRC) is the third most diagnosed cancer globally. Radiotherapy is a common treatment strategy for patients but factors such as gene expressions and molecular mechanism effects may affect tumor radioresponse. The aim of this review is to systematically identify genes suggested to have molecular mechanism effects on the radioresponsiveness of CRC patients. Methods: By following the PRISMA guidelines, a comprehensive literature search was conducted on Pubmed, EMBASE and Cochrane Library. After exclusion and inclusion criteria sorting and critical appraisal for study quality, data were extracted from seven studies. A gene set analysis was conducted on reported genes. Results: From the seven studies, 56 genes were found to have an effect on CRC radioresponsiveness. Gene set analysis show that out of these 56 genes, 24 genes have roles in pathways which could affect cancer radioresponse. These are AKT1, APC, ATM, BRAF, CDKN2A, CTNNB1, EGFR, ERBB2, FLT3, KRAS, MET, mTOR, MYC, NFKB1, KRAS, PDGFRA, PIK3CA, PTEN, PTGS1, PTGS2, RAF1, RET, SMAD4 and TP53. The current project was conducted between the period May 2024 to August 2024. Conclusions: The current review systematically presented 56 genes which have been reported to be related to RT or CRT treatment effectiveness in rectal cancer patients. Gene set analysis shows that nearly half of the genes were involved in apoptosis, DNA damage response and repair, inflammation and cancer metabolism molecular pathways that could affect cancer radioresponse. The gene cohort identified in this study may be used as a foundation for future works focusing on the molecular mechanism of specific pathways contributing to the radioresponse of CRC.
The Microphthalmia-Associated Transcription Factor (MITF) and Its Role in the Structure and Function of the Eye
Authors: García-Llorca Andrea , Eysteinsson Thor
Published: September 2024

Background/Objectives: The microphthalmia-associated transcription factor (Mitf) has been found to play an important role in eye development, structure, and function. The Mitf gene is responsible for controlling cellular processes in a range of cell types, contributing to multiple eye development processes. In this review, we survey what is now known about the impact of Mitf on eye structure and function in retinal disorders. Several mutations in the human and mouse Mitf gene are now known, and the effects of these on eye phenotype are addressed. We discuss the importance of Mitf in regulating ion transport across the retinal pigment epithelium (RPE) and the vasculature of the eye. Methods: The literature was searched using the PubMed, Scopus, and Google Scholar databases. Fundus and Optical Coherence Tomography (OCT) images from mice were obtained with a Micron IV rodent imaging system. Results: Defects in neural-crest-derived melanocytes resulting from any Mitf mutations lead to hypopigmentation in the eye, coat, and inner functioning of the animals. While many Mitf mutations target RPE cells in the eye, fewer impact osteoclasts at the same time. Some of the mutations in mice lead to microphthalmia, and ultimately vision loss, while other mice show a normal eye size; however, the latter, in some cases, show hypopigmentation in the fundus and the choroid is depigmented and thickened, and in rare cases Mitf mutations lead to progressive retinal degeneration. Conclusions: The Mitf gene has an impact on the structure and function of the retina and its vasculature, the RPE, and the choroid in the adult eye.