bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting the Impact of Distributed Denial of Service (DDoS) Attacks in Long-Term Evolution for Machine (LTE-M) Networks Using a Continuous-Time Markov Chain (CTMC) Model
Authors: Mutar Mohammed Hammood , El Fawal Ahmad Hani , Nasser Abbass , Mansour Ali
Published: October 2024

The way we connect with the physical world has completely changed because of the advancement of the Internet of Things (IoT). However, there are several difficulties associated with this change. A significant advancement has been the emergence of intelligent machines that are able to gather data for analysis and decision-making. In terms of IoT security, we are seeing a sharp increase in hacker activities worldwide. Botnets are more common now in many countries, and such attacks are very difficult to counter. In this context, Distributed Denial of Service (DDoS) attacks pose a significant threat to the availability and integrity of online services. In this paper, we developed a predictive model called Markov Detection and Prediction (MDP) using a Continuous-Time Markov Chain (CTMC) to identify and preemptively mitigate DDoS attacks. The MDP model helps in studying, analyzing, and predicting DDoS attacks in Long-Term Evolution for Machine (LTE-M) networks and IoT environments. The results show that using our MDP model, the system is able to differentiate between Authentic, Suspicious, and Malicious traffic. Additionally, we are able to predict the system behavior when facing different DDoS attacks.
Synthesis of High-Selectivity Two-Dimensional Filter Banks Using Sigmoidal Function
Authors: Apostolov Peter
Published: October 2024

This paper explores an application of the sigmoidal function—the complementary integral Gaussian error function (erfc(.))—in two-dimensional (2D) uniform and nonuniform filter bank synthesis. The complementary integral Gaussian error function graph represents a smooth low-pass filter magnitude response. A parameter changes the function slope and increases the magnitude response selectivity. The theory is applied to 2D band-pass filter banks. Exact expressions for the magnitude response parameters are determined. As a result, 2D uniform and nonuniform filter banks with very high selectivity and exact shapes are obtained. Three synthesis examples of 2D filter banks with circular and fan-shaped magnitude responses are provided. The theoretical exposition is supplemented with two examples of image analysis using 2D uniform and nonuniform filter banks. A procedure to reduce the computations in image analysis is proposed. A comparison of filter synthesis between Parks–McLellan’s 2D filters and the erfc(.) demonstrates the significantly shorter calculation time of the proposed method.
Reconfiguring Vehicles for Drivers with Disability: A Knowledge-Based Decision Support System
Authors: Spoladore Daniele , Mahroo Atieh , Davalli Angelo , Sacco Marco
Published: October 2024

Driving a car is pivotal to supporting Persons with Disabilities (PwDs) independence and quality of life. The problem of reconfiguring a vehicle to meet both the PwD’s needs and the (local or supranational) regulations is far from trivial since it requires the identification of the appropriate modifications and adaptations to be installed on the driver’s car. However, PwDs may not be acquainted with the mechanical modification, aids, and devices installed on their cars to allow them to drive, nor may they be aware of the possible configurations available. In the Italian context, this knowledge is strictly regulated by local and European regulations, which—according to the type(s) of impairments a driver has—indicate the possible configurations for the vehicles and the aids and mechanical modifications that need to be implemented. Therefore, to support PwDs in understanding the possible modification(s) their cars could undergo, a novel knowledge-based Decision Support System (DSS) was developed with the support of the Italian National Institute for Insurance against Accidents at Work (INAIL). The DSS exploits ontological engineering to formalize the relevant information on cars’ modifications, PwDs’ impairments, and a rule engine to match candidate drivers with the (sets of) car configurations that can be installed on their vehicles. Thus, the proposed DSS can enable the drivers to acquire more insights on the types and functionalities of the driving aids they will use. It also supports INAIL in administering the “special driving license”.
Improving In Situ Combustion for Heavy Oil Recovery: Thermal Behavior and Reaction Kinetics of Mn(acac)3 and Mn-TO Catalysts
Authors: Djouadi Younes , Chemam Mohamed-Said , Khelkhal Chaima , Ostolopovskaya Olga V. , Khelkhal Mohammed A. , Vakhin Alexey V.
Published: October 2024

In this research work, the catalytic performances of two manganese-based catalysts, manganese (III) acetylacetonate (Mn(acac)3) and manganese tallate (Mn-TO), were studied during the process of Ashalcha heavy oil oxidation under in situ combustion conditions. DSC analysis shows distinct thermal behavior of both ligated catalysts during low- and high-temperature oxidation phases (LTO and HTO); for example, the shifting in peak temperature (Tp) in the HTO at a heating rate of 10 °C/min was reduced by approximately 5.3% for Mn-TO and 2.24% for Mn(acac)3 when compared with uncatalyzed heavy oil. Combined isothermal kinetic analyses using the Friedman and Kissinger–Akahira–Sunose analytic methods have provided insights about activation energies and frequency factors over the whole conversion range, where the catalytic performance of Mn-TO showed low activation energies in both LTO and HTO (Eα of Mn-TO was approximately 13.33% (LTO) and 7.68% (HTO) less than with the heavy oil alone). In addition, calculations of the effective rate constant confirmed the increased oxidation rate trend of both catalysts, with Mn-TO exhibiting the highest values. The findings highlight the potential of these manganese-based catalysts, the Mn-TO catalyst in particular, in optimizing heavy oil oxidation processes. The overall results further contribute to developing more efficient ligand catalyst complexes for sustainable heavy oil recovery while continuously improving their efficient application during in situ combustion in the petroleum industry.
Prediction Method for the Distribution of the Effective Dominant Path of Sand Bodies Transporting Oil and Gas and Its Application
Authors: Chen Yong , Wang Yachun , Yu Yinghua , Yuan Hongqi , Zhang Yunfeng , Zhang Yaxiong
Published: October 2024

To study the oil and gas distribution law in the slope area of a hydrocarbon-bearing basin, one must first define the dominant hydrocarbon transport paths of sand bodies as the superimposed area of the contiguously distributed area of the sand bodies and the paleotectonic ridges at the top interface of the formation. Then, the oil and gas supply area of the oil source faults must be defined, as the overlapped area of the favorable transport paths of oil source faults and the width of their associated fracture zones. Stacking the two areas, we can delineate the distribution of the effective dominant paths of sand bodies transporting oil and gas. The results from our case study of the Qinan area show that the effective dominant paths of sand bodies transporting oil and gas in the lower sub-member within the first member of the Shahejie Formation (Es1L) in the Qinan area are distributed throughout the region, with better development in the west than in the east. And, the effective dominant paths in the eastern part extend from north to south, while those in the western part extend from northeast to southwest. These are favorable for the convergence of oil and gas generated from source rocks in the third member of the Shahejie Formation (Es3) in the main depression of Qikou Sag in the Es1L in the Qinan area. The results are consistent with the fact that oil and gas discovered in the Es1L in the Qinan area are mainly distributed in the central and western regions, with a small amount in the southeast. Therefore, the suggested method is feasible for predicting the effective dominant paths of sand bodies transporting oil and gas.
Including Lifetime Hydraulic Turbine Cost into Short-Term Hybrid Scheduling of Hydro and Solar
Authors: Kong Jiehong , Iliev Igor , Skjelbred Hans Ivar
Published: October 2024

In traditional short-term hydropower scheduling problems, which usually determine the optimal power generation schedules within one week, the off-design zone of a hydraulic turbine is modeled as a forbidden zone due to the significantly increased risk of turbine damage when operating within this zone. However, it is still plausible to occasionally operate within this zone for short durations under real-world circumstances. With the integration of Variable Renewable Energy (VRE) into the power system, hydropower, as a dispatchable energy resource, operates complementarily with VRE to smooth overall power generation and enhance system performance. The rapid and frequent adjustments in output power make it inevitable for the hydraulic turbine to operate in the off-design zone. This paper introduces the operating zones associated with various production costs derived from fatigue analysis of the hydraulic turbine and calculated based on the turbine replacement cost. These costs are incorporated into a short-term hybrid scheduling tool based on Mixed Integer Linear Programming (MILP). Including production costs in the optimization problem shifts the turbine’s working point from a high-cost zone to a low-cost zone. The resulting production schedule for a Hydro-Solar hybrid power system considers not only short-term economic factors such as day-ahead market prices and water value but also lifetime hydraulic turbine cost, leading to a more comprehensive calculation of the production plan. This research provides valuable insights into the sustainable operation of hydropower plants, balancing short-term profits with lifetime hydraulic turbine costs.
Review of Key Technologies of the High-Speed Permanent Magnet Motor Drive
Authors: An Quntao , Lu Yuzhuo , Zhao Mengji
Published: October 2024

The high-speed permanent magnet motor has been widely used in the industrial field because of its high-power density, fast dynamic response, and wide speed range. High efficiency and stable operation are the premises for the high-speed permanent magnet motor to exert its advantages. Firstly, this article analyzes the problems existing in the drive technology of high-speed permanent magnet motors from three aspects: current harmonics, rotor position detection, and low carrier ratios. Aiming to address the above problems, the status of the latest research is summarized from the aspects of harmonic suppression, position sensorless, and control strategies. In addition, future research trends for high-speed permanent magnet motors are discussed.
Research on the Mechanism and Prediction Model of Pressure Drive Recovery in Low-Permeability Oil Reservoirs
Authors: Liu Haicheng , Ju Binshan
Published: October 2024

China boasts significant reserves of low-permeability oil reservoirs, and the economic and efficient development of these reservoirs plays a crucial role in enhancing oil and gas production. However, the “difficult injection and difficult recovery” issue in low-permeability oil reservoirs is a major challenge. To address this, research is conducted on the mechanism of pressure drive based on the mathematical model of oil-water seepage in low-permeability reservoirs and the model of fracture permeability. The study finds that pressure drive technology, by directly delivering the pressure drive agent deep into the low-permeability reservoir, effectively prevents viscosity loss and adhesion retention of the agent in the near-wellbore area. This technology expands the swept volume, improves oil washing efficiency, replenishes formation energy, and facilitates the gathering and production of scattered remaining oil. For reservoirs with higher permeability, pressure drive yields quick results, and high-pressure water injection can be directly adopted for pressure drive to reduce costs. On the other hand, reservoirs with lower permeability have difficulty in water absorption, and the use of surfactant-based pressure drive can effectively reduce the seepage resistance of the reservoir, enhancing its water absorption capacity and improving development outcomes. Based on the mechanism of pressure drive development, further research is conducted on the production characteristics of pressure drive mines. Addressing the variability in pressure drive effects, big data analysis tools such as SHAP analysis and correlation analysis are employed to evaluate the main controlling factors of pressure drive in both new and old areas. Additionally, non-time series and time series pressure drive production forecasting models are established based on pressure drive data.
Predicting China’s Energy Consumption and CO2 Emissions by Employing a Novel Grey Model
Authors: Wang Meixia
Published: October 2024

The accurate prediction of China’s energy consumption and CO2 emissions is important for the formulation of energy and environmental policies and achieving carbon neutrality. This paper proposes a new weighted error evaluation criterion that emphasizes the importance of new data, thereby enabling more accurate capture of the variation characteristics of new data and reflecting the principle of new information priority. By optimizing the development coefficient, grey action, and parameters in the time response formula of the traditional GM(1,1), a novel optimized model, OGMW(1,1), is constructed. The accuracy of the new model is verified by three cases from the literature. The future trends of primary energy, oil, and coal consumption and CO2 emissions in China are predicted over the next five years. The conclusions are as follows: First, the new weighted error evaluation criteria are effective and reasonable and can indicate whether a grey model can reliably use the most recent information for modeling. Second, based on the new error evaluation criteria, the development coefficient, ash action, and parameter C in the time response function can be optimized. The results show that the optimization method is reasonable. Third, compared with the traditional models GM, GMO, and ARIMA, the OGMW(1,1) provides better simulation and prediction accuracy, and new information can be prioritized more effectively. Fourth, the forecasting results indicate that China will increase its consumption of primary energy, oil, and coal, as well as its CO2 emissions. Notably, the growth rates of primary energy and oil consumption are high at approximately 22.7% and 25%, coal consumption will increase slightly, and CO2 emissions will increase by approximately 11%.
High-Energy-Density Lithium–Sulfur Battery Based on a Lithium Polysulfide Catholyte and Carbon Nanofiber Cathode
Authors: Oh Byeonghun , Yoon Baeksang , Ahn Suhyeon , Jang Jumsuk , Lim Duhyun , Seo Inseok
Published: October 2024

Li–S batteries are promising large-scale energy storage systems but currently suffer from performance issues; a major reason is the dissolution of polysulfides in electrolytes. To this end, we report a high-energy-density Lithium–Sulfur (Li–S) battery that combines a catholyte and a sulfur-free carbon nanofiber (CNF) cathode. The cathode was synthesized by carbonizing binder-free polyacrylonitrile (PAN) nanofibers, affording a high surface area. In the catholyte, added polysulfides acted as both conductive Li salts and active materials. Investigating the electrochemical performance of this concept in both Swagelok- and pouch-type cells afforded energy densities exceeding 3 mAh cm−2 at a discharge rate of 0.1 C. This combination could also be utilized in high-capacity pouch cells with capacities of up to 250 mAh g−1. Both cell types exhibited good cycle performance. Adding LiNO3 to the electrolyte suppressed the redox shuttle reactions. Moreover, the cathode being binder-free increased the energy density and simplified cathode fabrication. Characterizing the cathode before and after cycling revealed that deposition was reversible, and that cell reactions at least partially formed sulfur as the end product, resulting in high sulfur amounts in the cell. We expect our concept to greatly aid in the development of practically applicable Li–S cells.
Energy Transition Policy of the Mexican Electricity Sector: A Representation in Terms of the Theory of Change
Authors: Grande-Acosta Genice K. , Islas-Samperio Jorge M. , Carrasco-González Fidel
Published: October 2024

Energy transition in the electricity sector is central to limiting global warming to 1.5 °C. Countries around the world rely on official planning documents, such as strategies, special programs, and action plans, to guide these efforts. However, there are few systematic approaches and tools that can help policy makers determine comprehensiveness, coherence, consistency, and coordination when designing these planning documents. This represents a risk to meet energy transition and climate change goals if the relationships of policies and actions included in these documents are not addressed properly. To this end, this paper proposes an approach to model hierarchical relationships using the theory of change, while causal relationships are allocated using policy makers’ experience (yet can also be exogenously allocated using other models). As a case study, this work investigates Mexico’s energy transition policy of the electricity sector over the 2013–2018 period. The results show that Mexico’s official planning documents lack a good design since most policies and actions are not articulated in the right sequence and privilege clean centralized and distributed generation and energy efficiency, while others related to the modernization of electrical grids and climate and environmental policies are barely included.
Validating Circular End-of-Life Strategies for Domestic Post-Consumer Materials in the Latin American Region: A Life Cycle Assessment Approach
Authors: Hidalgo-Crespo J. , Rivas-García Pasiano , García-Balandrán Ever Efraín , Albalate-Ramírez Alonso , Quintero-Herrera Samuel , Velastegui-Montoya Andrés , Amaya Rivas J. L. , Soto Manuel
Published: October 2024

This study examines the domestic solid waste management system in the LATAM region, using the city of Guayaquil in Ecuador as a case study. Through the life cycle assessment (LCA) methodology, the study compares domestic and external recycling processes, evaluating their effects on global warming potential, fossil resource scarcity, and terrestrial ecotoxicity. The results reveal that increasing recycling rates significantly reduces environmental impacts, with domestic recycling offering slightly higher environmental benefits than external options. A demographic analysis using machine learning techniques identifies distinct patterns of waste generation across different population clusters, highlighting the need for tailored waste management strategies. The study also emphasizes the importance of accurate local data and the integration of recycling initiatives with market realities, particularly in the light of policies mandating recycled content in products like PET bottles. A sensitivity analysis of the waste recovery indicator (WRI) demonstrates the potential for substantial environmental and economic benefits with higher recycling rates. The findings suggest that, to advance towards a circular economy, Latin American cities like Guayaquil must enhance their recycling infrastructure, refine waste management policies, and focus on demographic-specific strategies. This research contributes to the broader understanding of sustainable waste management in developing regions, offering insights for future policy and infrastructure development.
Spatially Explicit Life Cycle Global Warming and Eutrophication Potentials of Confined Dairy Production in the Contiguous US
Authors: Romeiko Xiaobo Xue , Zhang Wangjian , Zhang Xuesong , Choi Jun-Ki
Published: October 2024

Assessing the spatially explicit life cycle environmental impacts of livestock production systems is critical for understanding the spatial heterogeneity of environmental releases and devising spatially targeted remediation strategies. This study presents the first spatially explicit assessment on life cycle global warming and eutrophication potentials of confined dairy production at a county scale in the contiguous US. The Environmental Policy Integrated Climate model was used to estimate greenhouse gases (GHGs), NH3, and aqueous nutrient releases of feed production. The Greenhouse gases, Regulated Emissions, and Energy use in Transportation model and Commodity Flow Survey were used to assess GHGs and NH3 from feed transportation. Emission-factor-based approaches were primarily used to calculate GHGs from enteric fermentation, and GHGs, NH3, and aqueous nutrient releases from manure management. Characterization factors reported by the Intergovernmental Panel on Climate Change and Tool for Reduction and Assessment of Chemicals and other Environmental Impacts model were used to compute global warming and eutrophication potentials, respectively. The analyses revealed that life cycle global warming and eutrophication potentials of confined dairy production presented significant spatial heterogeneity among the US counties. For example, the life cycle global warming potential ranged from 462 kg CO2-eq/head to 14,189 kg CO2-eq/head. Surprisingly, sourcing feed locally cannot effectively reduce life cycle global warming and eutrophication potentials of confined dairy production. The feed supply scenarios with the lowest life cycle environmental impacts depend on the life cycle environmental impacts of feed production, geographic locations of confined dairy production, and specific impact categories. In addition, installing buffer strips in feed-producing hotspots can effectively reduce life cycle nutrient releases of confined dairy production. If 200 counties with the highest life cycle EP of corn adopt buffer strips, the reduction in life cycle EP of confined dairy production could reach 24.4%.
Epigenome Mapping in Quiescent Cells Reveals a Key Role for H3K4me3 in Regulation of RNA Polymerase II Activity
Authors: Zeng Shengyuan , Ekwall Karl
Published: October 2024

(1) Background: Quiescent cells are those that have stopped dividing and show strongly reduced levels of gene expression during dormancy. In response to appropriate signals, the cells can wake up and start growing again. Many histone modifications are regulated in quiescence, but their exact functions remain to be determined. (2) Methods: Here, we map the different histone modifications, H3K4me3, H3K9ac, H3K9me2, and H3K9me3, and the histone variant H2A.Z, comparing vegetative and quiescent fission yeast (S. pombe) cells. We also map histone H3 as a control and RNA polymerase II (phosphorylated at S2 and S5) to enable comparisons of their occupancies within genes. We use ChIP-seq methodology and several different bioinformatics tools. (3) Results: The histone modification mapping data show that H3K4me3 changes stand out as being the most significant. Changes in occupancy of histone variant H2A.Z were also significant, consistent with earlier studies. Regarding gene expression changes in quiescence, we found that changes in mRNA levels were associated with changes in occupancy of RNA polymerase II (S2 and S5). Analysis of quiescence genes showed that increased H3K4me3 levels and RNA polymerase II occupancy were super-significant in a small set of core quiescence genes that are continuously upregulated during dormancy. We demonstrate that several of these genes were require Set1C/COMPASS activity for their strong induction during quiescence. (4) Conclusions: Our results imply that regulation of gene expression in quiescent cells involves epigenome changes with a key role for H3K4me3 in regulation of RNA polymerase II activity, and that different gene activation mechanisms control early and core quiescence genes. Thus, our data give further insights into important epigenome changes in quiescence using fission yeast as an experimental model.
Effects of Wilting and Exogenous Lactic Acid Bacteria on the Fermentation Quality and Microbial Community of Plantago lanceolata Silage
Authors: Tang Yanhua , Dou Qing , Luo Bin , Zhao Lili , Wang Puchang , Yang Xuedong , Xi Yi
Published: October 2024

This study aimed to evaluate the effects of wilting and exogenous lactic acid bacteria treatments on the chemical composition, fermentation quality, and microbial community composition of Plantago lanceolata silage (PS). This experiment was carried out in the Guizhou Extension Station of Grassland Technology (25°38′48″ N, 106°13′6″ E). The PS samples were divided into four treatment groups, namely control PS (C-PS), wilting-treated PS (W-PS), Lactobacillus brucei-treated PS (LB-PS), and wilting + L. brucei-treated PS (WLB-PS) groups, and analyzed after 60 d of treatment. The W-PS and WLB-PS groups showed significantly lower ether extract, ash, and Neutral detergent fiber contents but significantly higher water-soluble carbohydrate content compared to the C-PS and LB-PS groups (p < 0.05). Additionally, the W-PS group had significantly lower propionic acid content but significantly higher butyric acid content compared to the other groups (p < 0.05). Meanwhile, the WLB-PS group had the highest lactic acid content, the lowest pH, and no butyric acid content (p < 0.05). Additionally, the WLB-PS group showed a high proliferation of beneficial bacterial species (Lactobacillus buchneri and Lactobacillus plantarum) and decreased proliferation of undesirable bacterial species (Clostridium lutlcellarli and Clostridium tyrobutyricum). In conclusion, the combination treatment with wilting and L. brucei increased beneficial microorganisms and inhibited undesirable microorganisms during ensiling, thereby improving the fermentation quality of PS. Therefore, the combination treatment with wilting and L. brucei may be an effective Plantago lanceolata silage modulation technique.
Evaluation of Fish Biodiversity in Estuaries Through Environmental DNA Metabarcoding: A Comprehensive Review
Authors: Alenzi Asma Massad
Published: October 2024

Traditional methods face difficulties in capturing elusive species and navigating the complexities of estuarine environments. The adoption of eDNA metabarcoding has revolutionized biodiversity assessment, offering non-invasive and comprehensive sampling. Challenges specific to estuaries, such as sediment loads and salinity fluctuations, were initially addressed through improved DNA extraction, optimized primers, and specialized bioinformatics tools. The integration of multiple genetic markers and quantitative eDNA approaches has enhanced resolution, enabling the detection of rare and cryptic species. Standardized sampling protocols and validation through traditional methods contribute to the reliability of eDNA metabarcoding. This technology holds promise for informing conservation and management strategies in estuarine ecosystems by providing timely and cost-effective biodiversity data.
Sustainability Assessment of Brown Trout Populations in Serbia (Central Balkans) Using the Modified ESHIPPO Model
Authors: Veličković Tijana , Marić Saša , Stanković David , Milošković Aleksandra , Radenković Milena , Šanda Radek , Vukić Jasna , Đuretanović Simona , Kojadinović Nataša , Jakovljević Marija , Simić Vladica
Published: October 2024

In the inland waters of the Balkans, many brown trout populations have been severely depleted. Therefore, identifying potential threats to their continued survival and ranking populations based on their biological and evolutionary importance enables setting conservation priorities. To assess the sustainability of the brown trout populations in the territory of Serbia (central Balkans), a modification of the ESHIPPO model was performed. The main modification involves incorporating the investigated populations’ genetic structure into the model. Therefore, the new ESHIPPOsalmo model includes an analysis of biological parameters and the impact of multiple factors, including habitat alterations, invasive species, pollution, human population growth, and over-exploitation. In order to investigate individual levels of influence of the model’s analyzed parameters, a combination of supervised and unsupervised machine learning methods was used. The structure of the model is based on general and easily measurable indicators, which enables its application in any salmonid river in the world. By evaluating the parameters of the ESHIPPOsalmo model, we were able to establish that, of the analyzed populations from 46 localities, 37% have a moderate level of sustainability, 43% low, and 20% critically low.
Formulation of a High-Quality Cold-Pressed Vegetable Oil (Virgin) Based on a Blend of Four Oilseeds
Authors: Guirrou Ibtissame , El Antari Abderraouf , El Harrak Abdelhay , Nabloussi Abdelghani
Published: October 2024

Vegetable oils are crucial for the human diet, providing energy and essential fatty acids. This study investigates the formulation of a high-quality cold-pressed vegetable oil blend from rapeseed, sunflower, sesame, and safflower, chosen for their agronomic benefits, cost-effectiveness, and reduced environmental impact. For the first time, this study is carried out in order to enhance the nutritional profile of these blend oils compared to commercial oils. The study’s results showed that all formulated blend oils had higher total polyphenol and flavonoid content. Specifically, the blend of 1/2 rapeseed, 1/4 sunflower, 1/8 sesame, and 1/8 safflower had an oil yield ranging from 37 to 39% and was rich in total polyphenols (18 mg GAE/100 g), total flavonoids (2 mg/g), antioxidant activities (52%), oleic acid (46.4%), and saturated fatty acids (11%), with a balanced omega-6/omega-3 ratio (2.5). Consuming this blend oil offers a healthier choice rich in nutrients and natural antioxidants. This could open new market opportunities and cater to the growing demand for healthier oil options, especially since it is extracted without a refining process. Further research could focus on the sensory attributes and consumer acceptance of these blend oils to ensure market success, noting that sesame and sunflower involve agreeable pronounced aromas.
Profiling of Potential Anti-Diabetic Active Compounds in White Tea: An Integrated Study of Polyphenol-Targeted Metabolomics, Network Pharmacology, and Computer Simulation
Authors: Wu Weiwei , Zheng Zhiqiang , Wang Zhihui , Gao Chenxi , Liang Yilin , Zeng Wen , Sun Weijiang
Published: October 2024

Diabetes remains a critical global public health challenge, posing a growing threat to human health and well-being. White tea is a lightly fermented tea and one of the six traditional tea categories in China. Owing to its rich content of bioactive compounds such as catechins and alkaloids, it has demonstrated potential anti-diabetic properties. However, its precise bioactive components, mechanisms of action, and relevant molecular targets require further investigation. In this study, an integrated approach combining polyphenol-targeted metabolomics, in vitro antioxidant assays, α-glucosidase inhibition tests, network pharmacology analysis, GEO database exploration, molecular docking, and molecular dynamics simulations was employed to identify the potential anti-diabetic compounds, targets, and mechanisms of white tea. The findings revealed that white tea is particularly abundant in 10 bioactive compounds, including epigallocatechin gallate, epicatechin gallate, and catechin, all of which exhibit significant anti-diabetic potential. These compounds were found to exert their effects by interacting with core molecular targets, namely cathepsin V (CTSV) and nucleotide-binding oligomerization domain-containing protein 1 (NOD1), and engaging in pathways related to signal transduction, apoptosis, and immune responses. This study establishes a strong theoretical basis for advancing white tea research and underscores new opportunities for applying natural products in diabetes therapy.
The Global Mean First-Passage Time for Degree-Dependent Random Walks in a Class of Fractal Scale-Free Trees
Authors: Gao Long , Peng Junhao , Tang Chunming , Xu Qiuxia , Chen Qi
Published: October 2024

Fractal scale-free structures are widely observed across a range of natural and synthetic systems, such as biological networks, internet architectures, and social networks, providing broad applications in the management of complex systems and the facilitation of dynamic processes. The global mean first-passage time (GMFPT) for random walks on the underlying networks has attracted significant attention as it serves as an important quantitative indicator that can be used in many different fields, such as reaction kinetics, network transport, random search, pathway elaboration, etc. In this study, we first introduce two degree-dependent random walk strategies where the transition probability is depended on the degree of neighbors. Then, we evaluate analytically the GMFPT of two degree-dependent random walk strategies on fractal scale-free tree structures by exploring the connection between first-passage times in degree-dependent random walk strategies and biased random walks on the weighted network. The exact results of the GMFPT for the two degree-dependent random walk strategies are presented and are compared with the GMFPT of the classical unbiased random walk strategy. Our work not only presents a way to evaluate the GMFPT for degree-dependent biased random walk strategies on general networks but also offers valuable insights to enrich the controlling of chemical reactions, network transport, random search, and pathway elaboration.
Metabolic and Epigenetic Mechanisms in Hepatoblastoma: Insights into Tumor Biology and Therapeutic Targets
Authors: Fu Yuanji , Francés Raquel , Monge Claudia , Desterke Christophe , Marchio Agnès , Pineau Pascal , Chang-Marchand Yunhua , Mata-Garrido Jorge
Published: October 2024

Background: Hepatoblastoma, the most common pediatric liver malignancy, is characterized by significant molecular heterogeneity and poor prognosis in advanced stages. Recent studies highlight the importance of metabolic reprogramming and epigenetic dysregulation in hepatoblastoma pathogenesis. This review aims to explore the metabolic alterations and epigenetic mechanisms involved in hepatoblastoma and how these processes contribute to tumor progression and survival. Methods: Relevant literature on metabolic reprogramming, including enhanced glycolysis, mitochondrial dysfunction, and shifts in lipid and amino acid metabolism, as well as epigenetic mechanisms like DNA methylation, histone modifications, and non-coding RNAs, was reviewed. The interplay between these pathways and their potential as therapeutic targets were examined. Results: Hepatoblastoma exhibits metabolic shifts that support tumor growth and survival, alongside epigenetic changes that regulate gene expression and promote tumor progression. These pathways are interconnected, with metabolic changes influencing the epigenetic landscape and vice versa. Conclusions: The dynamic interplay between metabolism and epigenetics in hepatoblastoma offers promising avenues for therapeutic intervention. Future research should focus on integrating metabolic and epigenetic therapies to improve patient outcomes, addressing current gaps in knowledge to develop more effective treatments.
Accretion and Core Formation of Earth-like Planets: Insights from Metal–Silicate Partitioning of Siderophile and Volatile Elements
Authors: Loroch Dominik , Hackler Sebastian , Rohrbach Arno , Berndt Jasper , Klemme Stephan
Published: October 2024

The origin of volatile elements, the timing of their accretion and their distribution during Earth’s differentiation are fundamental aspects of Earth’s early evolution. Here, we present the result of a newly developed accretion and core formation model, which features the results of high P–T metal–silicate partitioning experiments. The model includes well-studied reference elements (Fe, Ni, Ca, Al, Mg, Si) as well as trace elements (V, Ga, Ag, Au, S) covering a wide range from refractory to volatile behavior. The accretion model simulates the different steps of planet formation, such as the effects of continuous, heterogenous core formation at high P–T, the effect of the Moon-forming giant impact and the addition of matter after the core formation was completed, the so-called “late veneer”. To explore the “core formation signature” of the volatile depletion patterns and the quantitative influence of a late veneer, we modeled planets that would have formed from known materials, such as CI, CM, CV, CO, EH and EL meteorites, and from a hypothetical volatile depleted material, CI*. Some of the resulting planets are Earth-like in key properties, such as overall core size, major element composition, oxygen fugacity and trace element composition. The model predicts the chemical signatures of the main planetary reservoirs, the metallic core and bulk silicate planet (BSP) of the modeled planets, which we compare with the chemical signature of Earth derived previously from core formation models and mass balance-based approaches. We show that planets accreted from volatile depleted carbonaceous chondrites (CM, CV, CO and CI*) are closest in terms of major element (Si, Mg, Fe, Ca, Al, Ni) and also siderophile volatile element (Ge, Ga, Au) concentrations to the components from which Earth accreted. Chalcophile volatile elements (S, Ag), instead, require an additional process to lower their concentrations in the BSP to Earth-like concentrations, perhaps the late segregation of a sulfide melt.
Reaffirming Loyalty and Legitimacy: Representations of Hui Multi-Layered Identity in Bai Lian’s “Mountain Pass”
Authors: De Grandis Mario
Published: October 2024

In the People’s Republic of China (PRC), the Cultural Revolution (1966–1976) left many writers severed from their cultural roots. Starting in the 1980s, literary authors sought to address this disconnection by turning their attention to rural communities. This tendency is exemplified by the emergence of two significant trends: root-seeking literature and new fiction from Tibet. Root-seeking authors focused on local customs, marginalized cultures, and minority groups to reinvigorate Chinese literature and fill the perceived cultural void. Around the same time, new fiction from Tibet featured diverse responses to post-Mao changes, with some idealizing Tibet as a repository of “authentic” traditions, while others criticized its perceived backwardness. Both trends have been interpreted in scholarship as responses, often critical, to state policies. The short story “Mountain Pass” (1985) by Hui writer Bai Lian intersects with these movements temporally and thematically. However, unlike them, Bai Lian’s portrayal of rural communities emphasizes the Hui’s historical role in resisting the Qing empire, pivotal to the emergence of the PRC, while also highlighting the group’s Arab and Persian origins. This three-layered identification with the local, national, and transnational enriches our understanding of the 1980s literary landscape, challenging the notion that this era was solely characterized by resistance to the central state.
The Added Value of Sterility in Minor Surgical Procedures in Preventing Infection: A Systematic Review
Authors: Mahraoui Anissa , Goslings J. Carel , Kluijfhout Wouter P.
Published: October 2024

Background: The necessity of maintaining sterility during minor surgical procedures is a debated topic due to concerns over the cost, environmental impact of sterile supplies, and the unclear benefits of sterility in minor surgical procedures. This review aims to evaluate the available evidence on this topic. Methods: A systematic review of studies comparing sterile and non-sterile techniques in minor surgical procedures was conducted. Databases searched included PubMed and Cochrane up to May 2024. Studies were selected based on predefined criteria. Results: A total of eight studies met the inclusion criteria. Non-sterility was mostly defined by the use of non-sterile gloves, whereas the remainder of the procedure was performed with the same technique as a sterile procedure. The analysis showed no significant difference in infection rates between sterile and non-sterile techniques. However, sterile techniques may reduce the risk of complications in specific contexts, such as in immunocompromised patients or in procedures performed in tissues deeper than subcutaneous fascia. Conclusions: The evidence suggests that for most minor surgical procedures, non-sterile techniques do not significantly increase the risk of postoperative infections. Further high-quality studies are needed to identify specific scenarios where sterility can be safely omitted to decrease surgical waste and costs without increasing the risk of infection.
Tobacco Smoke Exposure in Children and Adolescents: Prevalence, Risk Factors and Co-Morbid Neuropsychiatric Conditions in a US Nationwide Study
Authors: Salehi Mona , Saeidi Mahdieh , Kasulis Natasha , Barias Tala , Kainth Tejasvi , Gunturu Sasidhar
Published: October 2024

Background: Tobacco smoke exposure (TSE) is a major public health concern, impacting not only smokers but also those around them, particularly children and adolescents. TSE is linked to various neuropsychiatric conditions and significantly impacts quality of life. This study examines the prevalence, socio-demographic factors, and the impact of TSE on the severity of neurological and psychiatric co-morbidities. Methods: Data from the National Survey of Children’s Health (NSCH) in the US from 2020 to 2021 were used in this study. We included 91,404 children and adolescents aged between 0 to 17 years for the TSE prevalence and socio-demographic analysis, and 79,182 children and adolescents aged between 3 and 17 years for the neuropsychiatric co-morbidities analysis. The mean age of these individuals was 8.7 (standard deviation: 5.3), and 11,751 (12.9%) had confirmed TSE. Results: Our analysis showed that TSE is more common in males (53%) than females (47%). Additionally, the odds of TSE were higher in families with a lower income level and with American Indian/Native Alaska racial descent. We found that 36.4% of youths with TSE developed at least one co-morbid condition. The most common neuropsychiatric co-morbidities were anxiety problems (15.7%), Attention-Deficit Hyperactivity Disorder (ADHD) (15.5%), behavioral and conduct problems (13.7%), and learning disability (12%). Females had lower odds of co-morbid anxiety (OR: 0.3, p = 0.02) and Autism Spectrum Disorder (ASD) (OR: 0.9, p = 0.04) than males. Asians showed lower odds of co-morbid ADHD (OR: 0.3, p-value: 0.001), anxiety problems (OR: 0.4, p-value: 0.003), speech/other language disorder (OR: 0.4, p-value: 0.001), developmental delay (OR: 0.4, p-value: 0.001), behavioral and conduct problems (OR: 0.4, p-value: 0.003), and learning disability (OR: 0.5, p-value: 0.004). Conversely, American Indian children and adolescents had higher odds of co-morbid headaches (OR: 3, p-value: 0.005). TSE co-occurring with Tourette’s Syndrome (TS) (OR: 4.4, p < 0.001), ADHD (OR: 1.3, p < 0.001), developmental delay (OR: 1.3, p < 0.001), behavioral problems (OR: 1.3, p < 0.001), headaches (OR: 1.3, p = 0.005), depression (OR: 1.2, p = 0.02), anxiety (OR: 1.2, p < 0.01), ASD (OR: 1.2, p < 0.001), and learning disability (OR: 1.2, p = 0.03) may contribute to a more severe manifestation. Conclusions: ADHD, behavioral/conduct problems, and learning disabilities were the most prevalent co-occurring conditions with TSE. Our findings show that 36.4% of youths with TSE had at least one neuropsychiatric comorbidity. Screening for these conditions in youths exposed to TSE is crucial for early detection and interventions to increase their mental health and well-being.
The Miskolc Method: Modelling the Evolution of a Natural City with Recursive Algorithms Using Simulated Morphogenesis
Authors: Bereczki Zoltán
Published: October 2024

This article explores the application of procedural design methods in urban morphology, drawing inspiration from the innovative work of the Architectural Workshop of Miskolc in Hungary during the late 20th century. This study presents a generative approach termed “Simulated Morphogenesis” (or the “Miskolc Method”), which models organic city growth by analysing historical urban tissues and applying recursive algorithms to simulate natural urban development. The method leverages advanced generative tools, such as Rhinoceros 3D and Grasshopper, to model the step-by-step growth of Central European cities, with a particular focus on Miskolc. By incorporating controlled randomness into the algorithmic processes, the method captures the complexity of organic urban growth while maintaining structured development. The Miskolc Method emphasizes the importance of continuity and context, allowing for the “healing” of urban fabric discontinuities or the generation of new urban structures. This article demonstrates how this approach, while rooted in geometrical analysis, offers a valuable foundation for preliminary urban planning. The findings are relevant for understanding the morphogenesis of cities and provide a flexible framework applicable to various urban contexts globally.
Constructing Efficient Mesh-Based Global Grid Systems with Reduced Distortions
Authors: Wecker Lakin , Hall John , Samavati Faramarz F.
Published: October 2024

Recent advancements in geospatial technologies have significantly expanded the volume and diversity of geospatial data, unlocking new and innovative applications that require novel Geographic Information Systems (GIS). (Discrete) Global Grid Systems (DGGSs) have emerged as a promising solution to further enhance modern geospatial capabilities. Current DGGSs employ a simple, low-resolution polyhedral approximation of the Earth for efficient operations, but require a projection between the Earth’s surface and the polyhedral faces. Equal-area DGGSs are desirable for their low distortion, but they fall short of this promise due to the inefficiency of equal-area projections. On the other hand, efficiency-first DGGSs need to better address distortion. We introduce a novel mesh-based DGGS (MBD) which generalizes efficient operations over watertight triangular meshes with spherical topology. Unlike traditional approaches that rely on Platonic or Catalan solids, our mesh-based method leverages high-resolution spherical meshes to offer greater flexibility and accuracy. MBD allows high-resolution polyhedra (HRP) to be used as the base polyhedron of a DGGS, significantly reducing distortion. To address the operational challenges, we introduce a new hash encoding method and an efficient barycentric indexing method (BIM). MBD extends Atlas of Connectivity Maps to the BIM to provide efficient spatial and hierarchical traversal. We introduce several new base polyhedra with lower areal and angular distortion, and we experimentally validate their properties and demonstrate their efficiency. Our experimentation shows that we achieve constant-time operations for high-resolution MBD, and we recommend polyhedra to be used as the base polyhedron for low-distortion DGGSs, compact faces, and efficient operations.