Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of renewable energy hosting capacity in distribution networks considering demand-side management and network reconfiguration

A renewable energy carrying capacity assessment method for distribution grids considering demand-side management (DSM) and network reconfiguration (NR) was proposed. First, a DSM and NR model applicable to the renewable energy carrying capacity (NECC) assessment of the distribution network (DN) was established; second, an NECC evaluation model for DN considering DSM and NR was established with the aim of maximizing the access capacity of distributed new energies; second, the second-order conical relaxation method was applied to convex solve the model; third, the simulation example adopts an improved IEEE 33-node DN to evaluate the NECC of system with various scenarios. Finally, the simulation experiment based on improved IEEE 33-node DN was conducted to assess the distributed NECC of the system in some scenarios.
Dynamic Ocean Topography of the Greenland Sea: A comparison between satellite altimetry and ocean modeling

Abstract. The dynamic ocean topography (DOT) in the polar seas can be described by satellite altimetry sea surface height observations combined with geoid information and by ocean models. The altimetry observations are characterized by an irregular sampling and seasonal sea-ice coverage complicating reliable DOT estimations. Models display various spatio-temporal resolutions, but are limited to their computational and mathematical context and introduced forcing models. In the present paper, ALES+ retracked altimetry ranges and derived along-track DOT heights of ESA's Envisat and water heights of the Finite Element Sea-ice Ocean Model (FESOM) are compared to investigate similarities and discrepancies. The study period covers the years 2003–2009. An assessment analysis regarding seasonal DOT variabilities shows good accordance and confirms the most dominant impact of the annual signal in both datasets. A comparison based on estimated regional annual signal components shows 2–3 times stronger amplitudes of the observations but good agreement of the phase. Reducing both datasets by constant offsets and the annual signal reveals small regional residuals and highly correlated DOT time series (correlation coefficient at least 0.67). The highest correlations can be found in areas that are ice-free and affected by ocean currents. However, differences are visible in sea-ice covered shelf regions. Furthermore, remaining constant artificial elevations in the observational data can be addressed to an insufficient representation of the used geoid. In general, the comparison results in good accordance between simulated and altimetry based description of the DOT in the Greenland Sea. Furthermore, the investigation shows that combining both datasets and exploiting the advantages of along-track altimetry observations and those of homogeneous modeled DOT representations leads to a deeper comprehension of the Arctic Ocean's DOT.
The Complexity of Reading Revealed by a Study with Healthy Older Adults

Aging, even when healthy, involves changes in cognitive functioning that can gradually affect the everyday activities and well-being of older people. Reading, which requires the integrity of several functions and their integration, is important to maintaining high cognitive and emotional stimulation over time. Our study aimed to investigate whether reading ability declines with aging. To explore also why reading would decline, we explored the changes in the performance of visual and attention tasks. A group of 58 neurologically healthy older people aged from 65 to 75 underwent neuropsychological assessment to investigate their global cognitive functioning, reading skills, crowding, and attention components. We found a decline in reading abilities as a function of aging (β = 0.34, p < 0.05). We did not find an increase in crowding or difficulties in visual acuity. Furthermore, we found no decline with age in tasks of simple reaction times, visuospatial attention, and other single components of attention. Interestingly, we instead found a worsening with age in the Symbol Digit Modalities Test (β = −0.26, p < 0.05), involving attention, working memory, and processing speed, which explains part of the reading decline. Our results suggest that task complexity is a fundamental aspect to account for aging changes.
NOTCH1-Related Leukoencephalopathy: A Novel Variant and Literature Review

NOTCH1-related leukoencephalopathy is a new diagnostic entity linked to heterozygous gain-of-function variants in NOTCH1 that neuroradiologically show some overlap with the inflammatory microangiopathy Aicardi-Goutières syndrome (AGS). To report a 16-year-old boy harbouring a novel NOTCH1 mutation who presented neuroradiological features suggestive of enhanced type I interferon signalling. We describe five years of follow-up and review the current literature on NOTCH1-related leukoencephalopathy. Clinical evaluation, standardised scales (SPRS, SARA, CBCL, CDI-2:P, WISCH-IV and VABS-2) and neuroradiological studies were performed, as well as blood DNA analysis. For the literature review, a search was performed on Pubmed, Scopus and Web of Science up to December 2023 using the following text word search strategy: (NOTCH1) AND (leukoencephalopathy). Our patient presents clinical features consistent with other reported cases with NOTCH1 mutations but is among the minority of patients with an onset after infancy. During the five-year follow-up, we observed an increase in the severity of spasticity and ataxia. However, at the age of 16 years, our proband is still ambulatory. As for other reported patients, he manifests psychiatric features ranging from hyperactivity during childhood to anxiety and depression during adolescence. The neuroradiological picture remained essentially stable over five years. In addition to the typical findings of leukoencephalopathy with cysts and calcifications already described, we report the presence of T2-hyperintensity and T1-hypotensity of the transverse pontine fibres, enhancement in the periventricular white matter after gadolinium administration and decreased NAA and Cho peaks in the periventricular white matter on MRS. We identified a novel heterozygous variant in NOTCH1 (c.4788_4799dup), a frame insertion located in extracellular negative regulatory region (NRR)-domain as in previously published cases. Blood interferon signalling was not elevated compared to controls. This case provides further data on a new diagnostic entity, i.e., NOTCH1-related leukoencephalopathy. By describing a standardised five-year follow-up in one case and reviewing the other patients described to date, we outline recommendations relating to monitoring in this illness, emphasising the importance of psychiatric and gastroenterological surveillance alongside neurological and neuropsychological management. Studies are needed to better understand the factors influencing disease onset and severity, which are heterogeneous.
Advancing Endocrine Disruptors via In Vitro Evaluation: Recognizing the Significance of the Organization for Economic Co-Operation and Development and United States Environmental Protection Agency Guidelines, Embracing New Assessment Methods, and the Urgent Need for a Comprehensive Battery of Tests

Efforts are being made globally to improve the evaluation and understanding of endocrine-disrupting chemicals. Recognition of their impact on human health and the environment has stimulated attention and research in this field. Various stakeholders, including scientists, regulatory agencies, policymakers, and industry representatives, are collaborating to develop robust methodologies and guidelines for assessing these disruptors. A key aspect of these efforts is the development of standardized testing protocols and guidelines that aim to provide consistent and reliable methods for identifying and characterizing endocrine disruptors. When evaluating the potential endocrine-disrupting activity of chemicals, no single test is capable of detecting all relevant endocrine-disrupting agents. The test battery approach is designed to reduce the risk of false negative results for compounds with toxic potential. A weight-of-evidence approach is therefore necessary for endocrine disruptor evaluation. This approach considers various types of data from multiple sources, assessing the overall strength, consistency, and reliability of the evidence. OECD guidelines are highly regarded for their scientific rigor, transparency, and consensus-based development process. It is crucial to explore and develop new methodologies that can effectively evaluate the risks associated with potential endocrine disruptors. Integrating these methods into a comprehensive weight-of-evidence framework will enhance risk assessments and facilitate informed decisions regarding the regulation and management of these substances, ensuring the protection of human health and the environment from their adverse effects.
Late Cenozoic Erosion Estimates for the Northern Barents Sea: Quantifying Glacial Sediment Input to the Arctic Ocean

A compilation of seismic data has been used to characterize the Neogene‐Quaternary sedimentary succession of the northwestern Barents Sea continental margin to better understand the paleoenvironmental evolution and the sedimentary processes involved. The Neogene strata are dominated by contourites related to the ocean circulation established from the opening of the Fram Strait connecting the Atlantic and the Arctic Oceans (< ~17.5 Ma). The upper Plio‐Pleistocene strata (< ~2.7 Ma) are dominated by stacked gravity‐driven deposits forming trough‐mouth fans that were sourced from paleo‐ice streams. Within the interfan areas, contouritic sedimentation prevailed. Thus, this margin provides an example of interaction of glacigenic debris flows, contour currents, and hemipelagic/glacimarine sedimentary processes. A total of ~29,000 km3 of sediments with an average sedimentation rate of about 0.24 m/Kyr were estimated. These numbers reflect the sediment input to this part of the Arctic Ocean from the northwestern Barents Sea shelf and adjacent land areas. For the first time, the average erosion and erosion rates for this source area are estimated using a mass balance approach. Approximately 410–650 m of erosion has on average occurred, corresponding to an average erosion rate of ~0.15–0.24 m/Kyr. These rates are comparable to those reported from other glaciated margins, including the western Svalbard and mid‐Norway margin, but up to only half the rates reported from the western Barents Sea margin. This variation is interpreted due to the size and bedrock types of the drainage area, ice dynamics, and the continental slope gradient.
Commercial hydrogel product for drug delivery based on route of administration

Hydrogels are hydrophilic, three-dimensional, cross-linked polymers that absorb significant amounts of biological fluids or water. Hydrogels possess several favorable properties, including flexibility, stimulus-responsiveness, versatility, and structural composition. They can be categorized according to their sources, synthesis route, response to stimulus, and application. Controlling the cross-link density matrix and the hydrogels’ attraction to water while they’re swelling makes it easy to change their porous structure, which makes them ideal for drug delivery. Hydrogel in drug delivery can be achieved by various routes involving injectable, oral, buccal, vaginal, ocular, and transdermal administration routes. The hydrogel market is expected to grow from its 2019 valuation of USD 22.1 billion to USD 31.4 billion by 2027. Commercial hydrogels are helpful for various drug delivery applications, such as transdermal patches with controlled release characteristics, stimuli-responsive hydrogels for oral administration, and localized delivery via parenteral means. Here, we are mainly focused on the commercial hydrogel products used for drug delivery based on the described route of administration.
Optimization Strategy of Credit Scoring System based on Support Vector Machine

This article proposes a novel optimization strategy for credit scoring systems that exploits the capabilities of SVM. Focusing on the importance of personal credit scoring in today's credit dynamics, the article explores SVM's versatility in various domains through a literature review. The theoretical background underscores the unique approach and computational efficiency of SVM. The optimization strategy encompasses four critical aspects: debt solvency, earning potential, operational prowess, and growth capability using metrics such as asset-liability ratios. Experimental validation with credit card datasets from Australia and Germany illustrates the nuanced relationship between different K-values and performance metrics, and demonstrates the adaptability of SVM in improving credit scoring. In short, the article presents an original, comprehensive approach to credit risk management that integrates theoretical foundations, literature findings, and empirical experiments to improve the accuracy of credit scoring in the dynamic economic landscaper.
Managing hazardous materials in New Zealand’s National Petrology Reference collection

ABSTRACT New Zealand’s National Petrology Reference Collection at GNS Science includes samples of radioactive and asbestiform minerals and rocks. The legislative requirements for managing these potentially hazardous samples have recently changed because the Radiation Safety Act, Radiation Safety Regulations and Health and Safety at Work (Asbestos) Regulations were revised in 2016–2017. Steps have been taken at GNS Science to ensure legislative requirements are met, and procedures put in place to safely store and manage radioactive and asbestiform-bearing samples within the collection. These procedures may have application to other curated geological collections at New Zealand universities and museums involving potentially hazardous materials.
Land Use Planning Using a Quantitative Model and Geographic Information System (GIS) In Sistan Region, Iran

Background: Land use planning is a science that determines the type of land use through studying the ecological and socio-economic characteristics of the land. Materials and Methods: A systematic method known as the Makhdoom Model was used for the analysis of maps to evaluate the land use and natural resources for future sustainable land planning of an area in Sistan region, using GIS as a tool. For this purpose, the ecological capability maps of different land uses, including forest and range, agriculture, ecotourism, rural and urban development were initially prepared by overlaying geographical maps in GIS for the study area. Then, the prioritization of land uses was assessed using a quantitative model by considering the ecological and socio-economic characteristics of the study area. Results: The results indicated that the maximum area of the proposed uses (28.7%) was related to conservation, showing this land use had high potential in the study area. Also, the minimum area of proposed uses was related to dry farming. Discussion and Conclusions: This research proved that quantitative methods can be more useful than classic methods (qualitative).
Utilization of Sargassum sp. to Improve Blood Plasma Minerals for Thin Tailed Weaning Ram

This study aimed to study the blood plasma minerals of thin-tailed weaning ram prior to administration of Sargassum sp. as a source of minerals. Research materials and methods. The use of Sargassum sp. seaweed flour. sun-drying on 16 weaned thin tailed rams, aged 5-6 months with a bodyweight of ±11.8 kg for 3 months, using a 4x4 completely randomized design (CRD) with four treatments, namely T1 = forage + concentrate + 0% minerals of concentrate, T2 = Forage + concentrate + cow booster minerals 0.38% of concentrate, T3 = forage + concentrate + Sargassum sp.5% of concentrate, T4 = forage + concentrate + Sargassum sp.10% of concentrate. The observed research variables were the consumption of macro minerals (Ca, Mg, K, and Na and micro minerals Cu, Fe, and Zn) and balance of macro minerals Ca, Mg, K. and Na and micro minerals (Cu, Fe, and Zn blood plasma before and after treatment with seaweed Sargassum sp. The results showed that the treatment had a significant effect (P<0.05) on mineral Ca consumption, Mg, K, Na, Cu, Fe, and Zn. Blood plasma minerals before treatment did not differ on Mg, Na, Cu, Fe, Zn, but had a significant effect (P<0.05) on Ca and K. The treatment had a significant effect (P<0.05) on minerals Mg, Cu, and Fe in blood plasma, but did not affect Ca, K, Na, Zn. Based on the results obtained, the use of Sargassum sp. 10% of the total concentrate with sun drying can increase the consumption of macro and micro minerals as well as increase the minerals Mg, Cu, and Fe in the blood plasma of weaning rams.
The Enhancement of Neutral Metal Na Layer Above Thunderstorms

Atomic sodium (Na) is one of the major meteoric species existing as layers of atoms in the mesosphere/lower thermosphere (MLT) at altitudes of 80–105 km and atomic ions at higher altitudes. As the boundary between neutral atmosphere and ionosphere, the MLT region is of particular interest because it is influenced by the mesoscale convective weather and thunderstorms from below and exposed to solar photons from above. There has been great interest on the atmosphere‐ionosphere coupling, and numerous studies have been reported on the connection between thunderstorms and the ionosphere. However, the influence of thunderstorms on metallic species, which would significantly enhance our understanding of how Earth's atmosphere interacts with its ionosphere and studying the chemistry and physics of the MLT region, has rarely been studied. Here we present observational results on a statistical basis showing evidence that thunderstorm activities can affect the metal layer, by identifying a statistically significant enhancement of the neutral metal Na layer above thunderstorms at Haikou, China (20.0°N, 110.3°E). The thunderstorm‐generated gravity waves and electric field effects could be the mechanisms responsible for the lightning‐associated enhancement of Na layer.
The silence of the neurons: an application to enhance performance and energy efficiency

Introduction Simulation of biological neural networks is a computationally intensive task due to the number of neurons, various communication pathways, and non-linear terms in the differential equations of the neuron. Method This study proposes an original modification to optimize performance and power consumption in systems, simulating or implementing spiking neural networks. First, the proposed modified models were simulated for validation. Furthermore, digital hardware was designed, and both the original and proposed models were implemented on a Field-Programmable Gate Array (FPGA). Results and discussion Moreover, the impact of the proposed modification on performance metrics was studied. The implementation results confirmed that the proposed models are considerably faster and require less energy to generate a spike compared with unmodified neurons.
Impact Of Demographic Factors On Emotional Behavioral Biases Of The Individual Investors: Empirical Study On Indian Stock Market

Purpose The purpose of this paper is to examine the impact of demographic factors (Gender, age, marital status, educational qualification, occupation, investment experience) related to emotional behavioral biases of the individual (retail) investors of Indian stock market. Design/methodology/approach The study uses analysis of variance (ANOVA) and t-test analysis to examine the survey data from more than 350 investors in India. Findings The results reveal the presence of different emotional behavioral biases including Loss Aversion Bias, Overconfidence Bias, Self-control Bias, Mental Accounting Bias and Herd Behavior Bias among Indian investors. Hence, the findings support the view that individual investors do act as irrational and individual investors are exposed to the behavioral biases. The results shows that martial status, educational qualification and investment experience has a impact on all the selected emotional behavioral biases, but no significant relation with the gender and age demographic variables to emotional behavioral biases. Research limitations/implications The study may have implications for financial educated investors in promoting the financial awareness program for individuals. Investment advisors can potentially become more effective by understanding their clients’ decision-making processes in investment. Originality/value Despite an extensive literature on behavioral biases with reference to emotional biases, limited academic research attempts to unravel the association and effect of demographic factors on emotional behavioral biases. This study contributes to this literature by trying to fill this gap.
Study on the Three-dimensional “Chunking" Listening Teaching Strategy for Naval Vocational English

Based on the chunk theory, this paper proposes a three-dimensional "chunking" listening teaching strategy for naval vocational English through extracting and analyzing the lexical chunks of naval vocational English from the self-built authentic listening corpus, which will effectively support the students to understand and master the needs and requirements of their future jobs and professions within a limited time and improve their listening ability for naval vocational English.
Exploring the diversity, bioactivity of endophytes, and metabolome in Synsepalum dulcificum

Synsepalum dulcificum exhibits high edible and medicinal value; however, there have been no reports on the exploration of its endophyte resources. Here, we conducted analyses encompassing plant metabolomics, microbial diversity, and the biological activities of endophytic metabolites in S. dulcificum. High-throughput sequencing identified 4,913 endophytic fungal amplicon sequence variants (ASVs) and 1,703 endophytic bacterial ASVs from the roots, stems, leaves, flowers, and fruits of S. dulcificum. Fungi were classified into 5 phyla, 24 classes, 75 orders, 170 families, and 313 genera, while bacteria belonged to 21 phyla, 47 classes, 93 orders, 145 families, and 232 genera. Furthermore, there were significant differences in the composition and content of metabolites in different tissues of S. dulcificum. Spearman’s correlation analysis of the differential metabolites and endophytes revealed that the community composition of the endophytes correlated with plant-rich metabolites. The internal transcribed spacer sequences of 105 isolates were determined, and phylogenetic analyses revealed that these fungi were distributed into three phyla (Ascomycota, Basidiomycota, and Mucoromycota) and 20 genera. Moreover, 16S rDNA sequencing of 46 bacteria revealed they were distributed in 16 genera in three phyla: Actinobacteria, Proteobacteria, and Firmicutes. The antimicrobial activities (filter paper method) and antioxidant activity (DPPH and ABTS assays) of crude extracts obtained from 68 fungal and 20 bacterial strains cultured in different media were evaluated. Additionally, the α-glucosidase inhibitory activity of the fungal extracts was examined. The results showed that 88.6% of the strains exhibited antimicrobial activity, 55.7% exhibited antioxidant activity, and 85% of the fungi exhibited α-glucosidase inhibitory activity. The research suggested that the endophytes of S. dulcificum are highly diverse and have the potential to produce bioactive metabolites, providing abundant species resources for developing antibiotics, antioxidants and hypoglycemic drugs.