Miracle-dz/UniFAR-FTUs huggingface dataset:
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub

To build biophysically detailed models of brain cells, circuits, and regions, a data-driven approach is increasingly being adopted. This helps to obtain a simulated activity that reproduces the experimentally recorded neural dynamics as faithfully as possible, and to turn the model into a useful framework for making predictions based on the principles governing the nature of neural cells. In such a context, the access to existing neural models and data outstandingly facilitates the work of computational neuroscientists and fosters its novelty, as the scientific community grows wider and neural models progressively increase in type, size, and number. Nonetheless, even when accessibility is guaranteed, data and models are rarely reused since it is difficult to retrieve, extract and/or understand relevant information and scientists are often required to download and modify individual files, perform neural data analysis, optimize model parameters, and run simulations, on their own and with their own resources. While focusing on the construction of biophysically and morphologically accurate models of hippocampal cells, we have created an online resource, the Build section of the Hippocampus Hub -a scientific portal for research on the hippocampus- that gathers data and models from different online open repositories and allows their collection as the first step of a single cell model building workflow. Interoperability of tools and data is the key feature of the work we are presenting. Through a simple click-and-collect procedure, like filling the shopping cart of an online store, researchers can intuitively select the files of interest (i.e., electrophysiological recordings, neural morphology, and model components), and get started with the construction of a data-driven hippocampal neuron model. Such a workflow importantly includes a model optimization process, which leverages high performance computing resources transparently granted to the users, and a framework for running simulations of the optimized model, both available through the EBRAINS Hodgkin-Huxley Neuron Builder online tool.
A Combined Virtual Electrode-Based ESA and CNN Method for MI-EEG Signal Feature Extraction and Classification

A Brain–Computer Interface (BCI) is a medium for communication between the human brain and computers, which does not rely on other human neural tissues, but only decodes Electroencephalography (EEG) signals and converts them into commands to control external devices. Motor Imagery (MI) is an important BCI paradigm that generates a spontaneous EEG signal without external stimulation by imagining limb movements to strengthen the brain’s compensatory function, and it has a promising future in the field of computer-aided diagnosis and rehabilitation technology for brain diseases. However, there are a series of technical difficulties in the research of motor imagery-based brain–computer interface (MI-BCI) systems, such as: large individual differences in subjects and poor performance of the cross-subject classification model; a low signal-to-noise ratio of EEG signals and poor classification accuracy; and the poor online performance of the MI-BCI system. To address the above problems, this paper proposed a combined virtual electrode-based EEG Source Analysis (ESA) and Convolutional Neural Network (CNN) method for MI-EEG signal feature extraction and classification. The outcomes reveal that the online MI-BCI system developed based on this method can improve the decoding ability of multi-task MI-EEG after training, it can learn generalized features from multiple subjects in cross-subject experiments and has some adaptability to the individual differences of new subjects, and it can decode the EEG intent online and realize the brain control function of the intelligent cart, which provides a new idea for the research of an online MI-BCI system.
CHANGES OF THE MOUNTAIN GRASSLAND VEGETATION AFTER ABANDONMENT AND COLONIZATION BY NORWAY SPRUCE

Hrivnak R. , Ujhazy K. : Changes of the mountain grassland vegetation after abandonment and colonization by Norway spruce. Ekologia (Bratislava), Vol. 24, No. 3, 231–253, 2005. Changes of herb and moss vegetation during the colonization of abandoned meadows by Norway spruce on the Poľana Mts were studied within a 20 x 170 m belt transect. It includes transition from the opened grassland with scarcely scattered young spruces and junipers to a 40 to 50years-old spruce stand adjoined to a planted spruce forest edge. Vegetation changes started after the cessation of mowing, establishing of irregular grazing and subsequent spruce colonisation. We identified and differentiated 9 types of vegetation in the transect [characterised by specific species combination and species dominance; Trifolium mediumBrachypodium pinnatum type of vegetation (A), Antennaria dioica-Nardus stricta (B), Phyteuma spicatum-Agrostis capillaris (C), Knautia arvensis-Avenula sp. (D), Prunella vulgaris-Ajuga reptans (E), Platanthera bifolia-Avenella flexuosa (F), Vaccinium myrtillus (G), Hylocomium splendens (H) and Jungermannia leiantha-Plagiomnium affine agg. (I)] using the Twinspan and DCA methods. The first two DCA axes can be interpreted as a light and temporal gradient (axis 1) and a trophic gradient (axis 2). We differentiated two parallel successive paths (variants of the same succession series) – a mesotrophic (Agrostis capillaris comm. > C > E > I) and an oligotrophic (Anthoxantho-Agrostietum tenuis nardetosum > B > F > G > H > I) variant. Common are the initial type of vegetation of mowed meadows and the final phase of a pure spruce stand with poor moss vegetation (type I), but a course within both variants is different. In addition to this basic divergence several modifications mostly determined by strong competitive grass species were observed within both variants. There is only limited species turnover during this short period of successional development. Cover and number of herb species decline gradually. Moss layer reaches the highest cover within the E, F and G types, where the herb layer cover is reduced and the shrub and tree layer is not closed yet. In these types of field layer vegetation, there is the highest diversity of seedlings and juvenile woody species.
Pengaruh Penilaian Produk dan Testimoni Pelanggan terhadap Keputusan Pembelian di Platform E-commerce Bukalapak di Indonesia

Studi kuantitatif ini menyelidiki dinamika perilaku konsumen di platform e-commerce Bukalapak di Indonesia, dengan fokus pada dampak peringkat produk dan testimoni pelanggan terhadap keputusan pembelian. Sampel yang beragam dari pengguna aktif Bukalapak berpartisipasi dalam penelitian ini, memberikan wawasan tentang demografi mereka, persepsi tentang peringkat produk, kepercayaan terhadap testimoni, dan pengaruh konten emosional. Penelitian ini menggunakan analisis korelasi dan regresi untuk mengungkap hubungan yang signifikan di antara variabel-variabel tersebut. Temuan ini menyoroti peran penting peringkat produk dalam membentuk kepercayaan pengguna dan memengaruhi keputusan pembelian. Selain itu, penelitian ini menekankan pengaruh moderasi dari testimoni pelanggan, terutama yang memiliki daya tarik emosional. Hasil penelitian ini berkontribusi pada pemahaman yang lebih luas tentang dinamika e-commerce, menawarkan wawasan praktis untuk platform seperti Bukalapak yang ingin mengoptimalkan keterlibatan dan kepuasan pengguna dalam konteks sosial-budaya yang unik di Indonesia.
Biochemostratigraphy of the Eramosa Formation in southwestern Ontario, Canada

The lithostratigraphic term “Eramosa” was introduced in Ontario more than a century ago to include a distinctive package of thin- to medium-bedded, black to medium-brown dolostones that make up key cuesta faces and railway roadcuts along the Eramosa River in the City of Guelph, southwestern Ontario, Canada. This stratigraphic unit makes up part of a stacked carbonate succession that constitutes one of the most economically significant Paleozoic sedimentary rocks in Ontario. The strata assigned to the Eramosa have a complex history of lithostratigraphic study, and the relative age, regional lithostratigraphic relationships, and varied depositional environments of the Eramosa were poorly understood. This research, which combines conodont biostratigraphy and carbonate carbon (δ13Ccarb) isotope stratigraphy to generate a detailed chronostratigraphic framework for the Eramosa Formation in southwestern Ontario, is part of a regional-scale surface and subsurface mapping initiative of the Silurian strata by the Ontario Geological Survey. Dolostone samples from Wiarton and the City of Guelph, Ontario, yielded three biostratigraphically important conodonts: Ozarkodina sagitta rhenana , Kockelella walliseri , and Kockelella ortus ortus . The carbonate carbon (δ13Ccarb) isotope data from the studied intervals record the descending limb of the Sheinwoodian (Ireviken) positive δ13Ccarb isotope excursion, including a distinctive positive shift in δ13Ccarb isotope values typical of records of the descending limb of the excursion in Laurentia and Baltica. Aldridgeodus minimus was also recovered from these conodont faunas and co-occurs with Kockelella walliseri , below the last occurrence of Ozarkodina sagitta rhenana (Lower Kockelella walliseri Zone), suggesting that the range of Aldridgeodus minimus should be extended lower into the Sheinwoodian Stage.
Exosomal non-coding RNAs in glioma progression: insights into tumor microenvironment dynamics and therapeutic implications

Gliomas are the most common and deadly types of brain tumors, known for their extensive genetic and epigenetic variability, which poses considerable challenges for pharmacological treatment. Glioma heterogeneity is also related to their intricate and dynamic tumor microenvironment (TME), which comprises a diverse array of cell types, including immune cells, vascular cells, glial cells, and neural precursors, collectively influencing tumor behavior and progression. A pivotal aspect of this intercellular communication relies on the exchange of extracellular vesicles (EVs), which contain and transfer complex molecular cargoes typical of their cells of origin, such as proteins, lipids, carbohydrates, metabolites, and non-coding RNAs (ncRNAs), that encompass microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs). Glioma cells actively release EVs loaded with specific ncRNAs that can target genes and other ncRNAs in recipient cells residing within the TME. Among these recipient cells, prominent players include tumor-associated macrophages and microglia (TAMs), non-neoplastic astrocytes and endothelial cells. The intricate interplay between EVs derived from glioma cells and these recipient cells significantly contributes to the establishment of a tumor-permissive microenvironment, promoting tumor cell proliferation, migration, angiogenesis, and invasion, by targeting various downstream pathways. This review critically examines the current understanding of the intricate interplay between glioma, exosomal ncRNAs, and various components of the glioma TME. By shedding light on the roles of ncRNAs in mediating intercellular communication, this review underscores their significance in orchestrating TME transformation and highlights their potential as novel therapeutic targets for effectively tackling glioma progression.
OPTIMAL LONG-RANGE-WIDE-AREA-NETWORK PARAMETERS CONFIGURATION FOR INTERNET OF VEHICLES APPLICATIONS IN SUBURBAN ENVIRONMENTS

In this paper, the effect of Long-Range wireless technology parameters on signal propagation in suburban environments is investigated. Wireless propagation modeling provides information about the wireless channel and its impact on communication links. Received signal strength and coverage area are evaluated to determine signal path loss. The operating frequency of 433 MHz Long Range Wireless Area Network is utilized with different spreading factors, bandwidths, and code rates. Empirical propagation models are utilized to predict a mathematical model based on measured empirical signal strength in a suburban site in Baghdad City. The measured signal strength and signal-to-noise ratio values were obtained through drive tests in an Internet of Vehicles environment to design a network that could accurately report vehicle locations. The LoRa parameters affected the calculated path loss exponent, leading to various predictions in the network design. The path loss exponent exhibited instability due to the presence of obstacles and different long-range parameter settings. Path loss exponent deviation fluctuates due to bandwidth and spreading factor variations. Path loss exponent reduced at higher coding rates for more protection purposes. Packet ratio reception improved as the coding rate increased. To minimize the impact of the path loss on network design, an optimization policy was employed to determine the best parameters that resulted in the lowest path loss. The optimal path loss obtained at LoRa configuration parameters settings with spreading factor (7), bandwidth (500 kHz), and code rate (4/5).
Considerations for Low Phospholipid-Associated Cholelithiasis (LPAC) Syndrome: Report of Three Cases

Low phospholipid-associated cholelithiasis (LPAC) syndrome is a rare underdiagnosed genetic feature presenting less than 1% of symptomatic cholelithiasis, with variable clinical forms ranging from simple to complications. Diagnosis criteria are recurrent biliary symptomatology occurring in young patients (<40 years old) and/or recurrence after cholecystectomy and/or having a history of biliary gallstones in first-degree relatives and characteristic ultrasound findings. Early detection of this entity, due to the awareness of gastroenterologists, radiologists, and visceral surgeons, will allow an improvement in the quality of life of patients and the prevention of complications. We report three cases of the LPAC syndrome and discuss its different aspects.
Subduction-related magmatism of late Ordovician age in eastern England

Abstract Deep boreholes show that plutonic and volcanic igneous rocks comprise an important component of the Caledonian basement in eastern England. The isotopic compositions of these rocks reveal that many of them are of late Ordovician age (440–460 Ma), and their geochemical compositions suggest calc–alkaline affinities. The intermediate (diorite-tonalite) plutonic rocks are associated with a prominent northwest–southeast trending belt of aeromagnetic anomalies extending from Derby to St Ives, Hunts. , which is interpreted to work the plutonic core of a calc-alkaline magmatic arc. It is inferred that this arc was generated by the subduction of oceanic lithosphere, possibly from the Tornquist Sea, in a south or southwest direction beneath the Midlands Microcraton in late Ordovician times. The age and geochemical composition of concealed Ordovician volcanic rocks in eastern England, and hypabyssal intrusions of the Midlands Minor Intrusive Suite in central England, is compatible with such a hypothesis.
The solid effect of dynamic nuclear polarization in liquids – accounting for g-tensor anisotropy at high magnetic fields

Abstract In spite of its name, the solid effect of dynamic nuclear polarization (DNP) is also operative in viscous liquids, where the dipolar interaction between the polarized nuclear spins and the polarizing electrons is not completely averaged out by molecular diffusion on the timescale of the electronic spin–spin relaxation time. Under such slow-motional conditions, it is likely that the tumbling of the polarizing agent is similarly too slow to efficiently average the anisotropies of its magnetic tensors on the timescale of the electronic T2 . Here we extend our previous analysis of the solid effect in liquids to account for the effect of g -tensor anisotropy at high magnetic fields. Building directly on the mathematical treatment of slow tumbling in electron spin resonance , we calculate solid-effect DNP enhancements in the presence of both translational diffusion of the liquid molecules and rotational diffusion of the polarizing agent. To illustrate the formalism, we analyze high-field (9.4 T) DNP enhancement profiles from nitroxide-labeled lipids in fluid lipid bilayers. By properly accounting for power broadening and motional broadening, we successfully decompose the measured DNP enhancements into their separate contributions from the solid and Overhauser effects.
Discussing the genesis of karst rocky desertification research based on the correlations between cropland and settlements in typical peak-cluster depressions

Abstract. This paper attempts to explain the theoretical reasons why local farmers have executed land mismanagement measures such as steep slope land cultivation, in order to reveal the mechanisms of karst rocky desertification (KRD, including light KRD, moderate KRD and severe KRD) through typical case studies. Firstly, this paper assumes that the low land capacity is the initial cause of KRD in peak-cluster depression areas. Furthermore, the ecological quality of the peak-cluster depression zone (a combination of clustered karst cones with a common base and depressions between cones) is influenced by the relationship between the area of depressions and the population of residential areas. Therefore, six typical peak-cluster depression areas of Guizhou province were selected to compare the distribution circumstances of cropland, the characteristics of settlements and the formation of KRD with the help of ALOS images in 2010 (with a resolution of 10 m × 10 m). The results show that there is a negative correlation between the percentage of the cultivated land and the percentage of KRD at peak-cluster depressions. The relationship could be concluded by three situations of the process of KRD, which are low, middle and upper carrying capacities of land. Severe KRD is only distributed in peak-cluster depression areas with less flatland, low land capacity and a high population. The harmonization between population pressure and bearing capacity of land will influence the ecological qualities in the peak-cluster depressions. The KRD phenomenon which occurred in six typical peak-cluster depression areas confirms that the hypothesis suggested by this paper is correct, and this result will contribute to understanding the natural mechanisms of KRD and guide the ecological restoration of KRD land.
Impact of Shale-Gas Apparent Permeability on Production: Combined Effects of Non-Darcy Flow/Gas-Slippage, Desorption, and Geomechanics

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Impact of Shale-Gas Apparent Permeability on Production: Combined Effects of Non-Darcy Flow/Gas-Slippage, Desorption, and Geomechanics Hanyi Wang, Matteo Marongiu-Porcu
Application of Ensemble Numerical Model System on the Air Quality Forecast in Shanghai

The air quality ensemble numerical model system for Expo 2010 in Shanghai was introduced.The application of this system on air quality forecast and the role played by emission sources from point emission,line emission and area emission on the concentrations of PM_(10),SO_2 and NO_2 was studied.Integrated forecast system based on the multiple forecasting tools will be the predominant trend to increase the accuracy of air quality forecast.
Application of hydrocarbon generation kinetics and isotopic distillation kinetics to the study of hydrocarbon source rocks

Hydrocarbon generation kinetics and isotopic kinetics have been normally used in the evaluation of source rocks and correlation of oil, gas and their supposed source rocks. The hydrocarbon generation history of source rocks at any time may be reconstructed by using hydrocarbon generation kinetic parameters, combined the basin thermal history. So hydrocarbon generation kinetics has its unique advantage for the study of secondary hydrocarbon generation in complicated basins. Recovery of the total content of original organic matter may be realized by the method of hydrocarbon generation kinetics, and on that basis, the necessity of recovery of the original organic matter abundance of highly mature and overmature samples is discussed. Correlation of petroleum source rocks based on hydrocarbon generation kinetics and consideration of the influences of various geological parameters such as the thermal history and stages and process of formation of petroleum accumulations are a dynamic research method.
Automatic Road Extraction in Complex Scenes Based on Information Fusion from LiDAR Data and Remote Sensing Imagery

Automatic road extraction from remote sensing images in urban area has been a very challenging task due to the complexity of the scene,especially in the occluded or shadowed areas.An integrated method to fuse LiDAR data and high resolution imagery for automatic extraction of road centrelines is proposed.Firstly,the LiDAR point cloud is filtered to get the ground points whose intensity data is used to detect initial road centrelines and key points of the roads.A road model is then built on the intensity and dispersion of the ground points as well as spectral information obtained from the high resolution image.Based on the model,the dynamic programming algorithm is applied to find the optimal road centrelines linking the key points which are selected by evaluation.The experimental results indicate its effectiveness in automatic road extraction in urban and complex scenes.
Potential Proallergenic Activity of Phytopathogenic Erysiphe palczewskii and Erysiphe convolvuli in in vitro Studies

Purpose Allergic diseases have reached epidemic proportions globally, affecting nearly 30% of the world’s population. One of the most prominent sources of allergens is fungi, causing up to 6% of respiratory diseases in the general population. However, the cause of respiratory allergies is not always identifiable. Therefore, we studied the ability of two representatives of common powdery mildew (Erysiphales), Erysiphe palczewskii and Erysiphe convolvuli, to induce a proinflammatory response in in vitro models of the upper and lower respiratory tract. Materials and Methods Two cell lines, BEAS-2B and A549, were used to mimic upper and lower respiratory epithelial cells. The toxicity of fungal extracts was assessed with MTT and flow cytometry assay. The production of reactive oxygen species in the cells was measured with flow cytometry. ELISA tests were used to determine the production of proinflammatory cytokines. The presence of the cell integrity marker was assessed with the immunofluorescence method. Results In both cell lines, the extract of E. palczewskii and E. convolvuli microfungi induced marked production of proinflammatory IL-1β, TNF-α, and GM-CSF cytokines involved in developing allergic reactions. The higher levels of these cytokines with higher reactive oxygen species synthesis positively correlated with the disruption of epithelial cell junctions. Conclusion We conclude that E. palczewskii and E. convolvuli microfungi have strong proinflammatory and proallergenic potential, but this finding needs in vivo confirmation.