Miracle-dz/UniFAR-FTUs huggingface dataset:
Ferroptosis: a new antidepressant pharmacological mechanism

The incidence rate of depression, a mental disorder, is steadily increasing and has the potential to become a major global disability factor. Given the complex pathological mechanisms involved in depression, the use of conventional antidepressants may lead to severe complications due to their side effects. Hence, there is a critical need to explore the development of novel antidepressants. Ferroptosis, a newly recognized form of cell death, has been found to be closely linked to the onset of depression. Several studies have indicated that certain active ingredients can ameliorate depression by modulating the ferroptosis signaling pathway. Notably, traditional Chinese medicine (TCM) active ingredients and TCM prescriptions have demonstrated promising antidepressant effects in previous investigations owing to their unique advantages in antidepressant therapy. Building upon these findings, our objective was to review recent relevant research and provide new insights and directions for the development and application of innovative antidepressant strategies.
Vehicle-to-Everything Communication Using a Roadside Unit for Over-the-Horizon Object Awareness

Self-driving and automated vehicles rely on a comprehensive understanding of their surroundings and one another to operate effectively. While the use of sensors may allow the vehicles to directly perceive their environments, there are instances where information remains hidden from a vehicle. To address this, vehicles can transmit information between each other, enabling over-the-horizon awareness. We create a Robot Operating System simulation of vehicle-to-everything communication. Then, using two real-life electric vehicles equipped with global positioning systems and cameras, we aggregate time, position, and navigation information into a central database on a roadside unit. Our model uses an image classification deep learning model to detect obstacles on the road. Next, we create a web-based graphical user interface that automatically updates to display the vehicles and obstacles from the database. Finally, we use an occupancy grid to predict vehicle trajectories and prevent potential collisions. Our deep learning model has a precision-recall score of 0.995 and our system works across many devices. In the future, we aim to recognize a broader range of objects, including pedestrians, and use multiple roadside units to widen the scope of the model.
Cretaceous Oceanic Red Beds (CORBS) in the Austrian Eastern Alps : passive-margin vs. active-margin depositional settings

CORBs are described from a north–south transect from the passive European margin with the Helvetic–Ultrahelvetic shelf and continental slope through the Alpine Tethys, including the Rhenodanubian Flysch Zone into the southern, tectonically active margin of the Austro-Alpine microplate, including the Northern Calcareous Alps. In the Helvetic (shelf) and Ultrahelvetic (slope) part of the European margin, the proportion of CORBs in the Upper Cretaceous successions increases significantly with increasing water depth and increasing pelagic character. In the Ultrahelvetic units of Upper Austria (Rehkogelgraben, Buchberg), CORBs define a continuous red interval from the Lower Turonian to the Lower Campanian. The onset of CORB deposition in the Ultrahelvetic Zone corresponds to a major change in paleoceanographic conditions from anoxic during the Late Cenomanian OAE 2 to highly oxic during the Early to Middle Turonian. In the Rhenodanubian Flysch, hemipelagic red and green shales alternate with turbiditic siltstones and minor sandstones in the Upper Aptian–Lower Cenomanian Lower Varicolored Marls, the Coniacian–Lower Campanian Seisenburg Formation, and the uppermost Campanian Perneck Formation. CORBs in the Rhenodanubian Flysch are controlled mainly by tectonic events and sea-level changes, and occur during times of transgressions, low clastic input, and low turbidite frequencies. In the Austro-Alpine Northern Calcareous Alps, CORBs occur from the Santonian onwards in the upper parts of transgressive sequences of the Gosau Group, e.g., in the Tiefenbach and the Dalsenalm sections. In areas where clastic input was low, CORB deposition continued up into the Maastrichtian. Based on these data a peak of oceanic red beds is inferred for the middle Santonian–Early Campanian time interval. Prerequisites for CORB sedimentation are low clastic input, low sedimentation rates, and increasing paleo–water depth. CORBs can be classified as a variation of three end members: clayey CORBs, consisting mainly of terrigenous clay minerals; calcareous CORBs, mainly pelagic limestones; and siliceous CORBs, consisting mainly of biogenic SiO2.
Aging or chronic stress impairs working memory and modulates GABA and glutamate gene expression in prelimbic cortex

The glucocorticoid (GC) hypothesis posits that effects of stress and dysregulated hypothalamic-pituitary-adrenal axis activity accumulate over the lifespan and contribute to impairment of neural function and cognition in advanced aging. The validity of the GC hypothesis is bolstered by a wealth of studies that investigate aging of the hippocampus and decline of associated mnemonic functions. The prefrontal cortex (PFC) mediates working memory which also decreases with age. While the PFC is susceptible to stress and GCs, few studies have formally assessed the application of the GC hypothesis to PFC aging and working memory. Using parallel behavioral and molecular approaches, we compared the effects of normal aging versus chronic variable stress (CVS) on working memory and expression of genes that encode for effectors of glutamate and GABA signaling in male F344 rats. Using an operant delayed match-to-sample test of PFC-dependent working memory, we determined that normal aging and CVS each significantly impaired mnemonic accuracy and reduced the total number of completed trials. We then determined that normal aging increased expression of Slc6a11, which encodes for GAT-3 GABA transporter expressed by astrocytes, in the prelimbic (PrL) subregion of the PFC. CVS increased PrL expression of genes associated with glutamatergic synapses: Grin2b that encodes the GluN2B subunit of NMDA receptor, Grm4 that encodes for metabotropic glutamate receptor 4 (mGluR4), and Plcb1 that encodes for phospholipase C beta 1, an intracellular signaling enzyme that transduces signaling of Group I mGluRs. Beyond the identification of specific genes that were differentially expressed between the PrL in normal aging or CVS, examination of Log2 fold-changes for all expressed glutamate and GABA genes revealed a positive association between molecular phenotypes of aging and CVS in the PrL but no association in the infralimbic subregion. Consistent with predictions of the GC hypothesis, PFC-dependent working memory and PrL glutamate/GABA gene expression demonstrate comparable sensitivity to aging and chronic stress. However, changes in expression of specific genes affiliated with regulation of extracellular GABA in normal aging vs. genes encoding for effectors of glutamatergic signaling during CVS suggest the presence of unique manifestations of imbalanced inhibitory and excitatory signaling in the PFC.
On critical observations that constrain models of terrestrial hypervelocity impact craters

Impact structures in the crystalline rocks of the Canadian Shield range over two orders of magnitude in size and display morphologies recognized elsewhere in the solar system. This contribution draws upon new examinations of drill core from Canadian craters to reaffirm some relationships, modify others, and refine the transitions from simple to complex with central peak to peak‐ring structures. These include recognizing the hyperbolic form of transient craters, sharpening the allochthon–parautochthon distinction, and proposing new formulae for key relationships. It emphasizes the role of dynamic tensile strength and the attenuation of tensile rarefaction waves in determining the size of both transient and final crater dimensions. On Earth, depth (d) to diameter (D) ratios are not invariant at about 1:10 but change smoothly with size from 1:3 at Brent through 1:5 to 1:10 in the largest; that is, d = 0.4 D0.75. In craters in crystalline rocks, the central peak grows at about uplift = 0.175 D until, at D about 28 km, the uplift rises above the original surface then collapses to form a peak‐ring structure. These relationships demonstrate the dominant role of gravity in attenuating tensile rarefaction waves and controlling transient crater depth and overall size relative to the volume shocked.
Influence of Government Accounting Standards, Systems Internal Control, Regulatory Compliance Legislation on Quality Financial Statements

This research aims to examine the impact of variables such as government accounting standards, internal control systems, and statutory laws on the quality of financial reporting. This study employs a quantitative methodology grounded in a positivist perspective. This research is explanatory in nature and employs a purposive sample strategy, which involves selecting participants based on specific criteria or factors. Based on the findings of hypothesis testing, it can be inferred that the variables related to the implementation of SAP, SPI, and compliance with statutory regulations have a substantial impact on the quality of financial reports, both collectively and individually.
THE UPDATING PROCESS FOR 3D CITY MODEL OBJECTS - AN OVERVIEW

SUMMARY In spatial information system, the semantics attached to a land parcel is as important as it spatial counterpart. The similar concept is adopted by the 3D city model standard and data model, known as CityGML. It has been accepted by the Open Geospatial Consortium (OGC) as one of the international standards for 3D city models that is able to represent the geometry, topology and appearance of 3D city models in five Level-of-Details (LoD), namely LoD0 to LoD4. Apart from the spatial features, CityGML also emphasized on the importance of spatio-semantic coherent model as every spatial feature in each 3D city model object should be accompanied by its corresponding semantic information to ensure that the model is spatially and semantically correct. The process of generating 3D city models has been greatly improved with the availability of sophisticated tools such as Lidar, terrestrial laser scanning equipments and high resolution cameras where the 3D data obtained and generated are more accurate and cost-effective. However, the task of updating the data is still a major predicament in 3D city model. While it is easier to replace the whole current 3D city models with the newly generated ones, the action will result in the loss of valuable data. This paper attempts to introduce a method that could improve the 3D city models updating process by implementing a selective updating where 3D buildings will be updated based on the changes on its geometries or semantics. The proposed method utilizes a hybrid 3D segmentation method that based on semantic and geometric decomposition for 3D buildings in order to detect and pinpoint the location of any changed structures. Based on the change detection results, the method will selectively determine the segmented geometries and semantics that will be updated on the geospatial database of the 3D city model. For future work, the proposed method will be extended for automatic features extraction from un-interpreted 3D models.
Numerical Analysis of Drawdown in an Unconfined Aquifer due to Pumping Well by SIGMA/W and SEEP/W Simulations

In the present study a computer model of a pumping well has been developed and calibrated by using two slave programs of Geo-Slope software, i.e. (SIGMA/W and SEEP/W). The model has been used to study the behaviour of watertable and drawdown in an aquifer during pumping. SIGMA/W program was used to compute initial pore-pressure within an aquifer, while SEEP/W program was used to analyze the change in pore-pressure and drawdown during pumping respectively. From the results it is revealed that the vectors displaying the movement of the flow direction towards discharge well due to which decline in watertable occurs and a cone of depression and drawdown curve was formed. Comparison of the experimental and simulated data showed a good agreement among them. The drawdown line has been simulated for each concern depth and at each interval of time, which was further compared with the actual data for the computation of model efficiency. The performance of the model was evaluated on the basis of statistical parameters, i.e. mean error, root mean square error and model efficiency; these results are presented in Table 7. Statistical analysis of all the research data, i.e. RMSE, ME, R.E, and EF was found to be 0.134 m and 0.126 m, 3.05% and 98.86% respectively. Additionally verifiability of the model was also made by comparing observed and simulated values of observation wells (piezometeric heads); such graph is in Figure 5. The slope of the line was observed to be approximately at 45 degrees; thus the figure indicates no considerable difference between observed and simulated head values for all the observation wells. Consequently, it is concluded that simulated values of piezometeric heads are not much different than the observed ones. The results support the use of SIGMA/W and SEEP/W programs as a tool for investigating and designing pumping well practices.
LncRNA PVT1 promotes proliferation, invasion and epithelial–mesenchymal transition of renal cell carcinoma cells through downregulation of miR-16-5p

Background LncRNAs have recently emerged as vital regulators in the pathogenesis and development of various cancers. LncRNA PVT1 is reported to function as an oncogene in some tumors. However, the role of PVT1 in RCC remains unknown. Purpose To explore the potential effects of lncPVT1 on the development of renal cell carcinoma. Methods The expression of PVT1 in renal cancer cell lines and tissues was measured by qRT-PCR. The endogenous PVT1 was silenced by RNAi. Cell viabilities were measured by the MTT assay. The migration and invasion of cells were investigated by the transwell assay. The apoptosis of cells was measured by the Nucleosome ELISA and caspase-3 activity assays. The levels of proteins were measured by the western blot. Results We found that PVT1 was upregulated in RCC tissues compared with the adjacent normal tissues. PVT1 expression was closely correlated with TNM stage, Fuhrman grade, lymph node metastasis and tumor size. Kaplan–Meier analysis revealed that high expression of PVT1 was significantly associated with poor overall survival. In accordance, overexpression of PVT1 was observed in RCC cells comto HK-2 cell. Silencing of PVT1 significantly repressed cell viability, induced apoptosis and inhibited cell migration and invasion in vitro. Furthermore, bioinformatic analysis and luciferase reporter assay confirmed that miR-16-5p was a target of PVT1. Silencing of miR-16-5p mostly reversed the regulatory effects on RCC cells induced by downregulation of PVT1. Conclusion In summary, our study indicates that targeting PVT1 might represent a rational therapeutic strategy for RCC.
Deep Multiscale Fine-Grained Hashing for Remote Sensing Cross-Modal Retrieval

Hashing retrieval is a widely used technique in high spatial resolution remote sensing (RS) images due to its efficient retrieval speed and low memory overhead. However, existing hashing retrieval methods primarily focus on matching multilabel RS images, neglecting the extensive fine-grained semantic information in cross-modal RS data. Moreover, RS images exhibit notable object size differences and contain redundant features that lack effective multiscale feature extraction methods. To address these issues, we propose a novel deep multiscale fine-grained hashing (DMFH) method for cross-modal hashing retrieval of RS data. The DMFH method comprises two modules: the feature extraction module and hashing retrieval module. In the feature extraction module, we introduce a multiscale feature representation method to extract both low-level and high-level features from RS images while using a redundant optimizer to remove duplicate features. In addition, we used embedding vectors to extract fine-grained semantic information from description texts. The hashing retrieval module uses contrastive loss and triplet loss to guide the hash function toward learning and generating hash codes from extracted features. Our proposed DMFH method achieves state-of-the-art performance in two public RS image–text datasets (RSICD and RSITMD) through extensive experiments and ablation studies.
Relationship between hyperintensity on MRI-T1WI and hemorrhagic transformation after cerebral infarction and its influencing factors

This study aims to investigate the correlation between hyperintensity on Magnetic Resonance Imaging-T1 weighted imaging (MRI-T1WI) and post-infarction hemorrhagic transformation (HT) after cerebral infarction (CI) and analyze the influencing factors. This retrospective study comprised 115 patients diagnosed with cerebral infarction at our hospital. Their clinical data were collected, and they were then divided into a hyperintensity and a non-hyperintensity group based on their T1WI image characteristics. Comparative analysis was performed and the diagnostic value of T1WI hyperintensity for HT and influencing factors were assessed. Lesions in the 115 cerebral infarction patients were distributed as follows: 52 in the cerebral cortex, 37 in the basal ganglia, 14 in the cerebellum, 7 in the thalamus, and 5 in the subcortex. Hyperintensity on T1WI was observed in 4 cases before treatment, which increased to 27 cases after treatment, including 16 affecting the cerebral cortex. These hyperintense signals manifested as spotty, patchy or linear patterns along the gyri. In the basal ganglia, 10 cases exhibited spotty or patchy signals, surrounded by an annular hypointense shadow. Additionally, 3 cases involved the cerebellum, 1 the thalamus, and 1 the subcortex, all with spotty or patchy hyperintensities. HT occurred in 17 out of 115 patients (14.78%) one month after treatment. The diagnostic performance of T1WI hyperintensity for HT showed sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of 94.12%, 84.69%, 86.09%, 51.61% and 98.81%, respectively, with a Kappa value of 0.588. Multivariate logistic regression analysis revealed that age, atherosclerosis, and infarct size were significant risk factors for T1WI hyperintensity in cerebral infarction (p < 0.05). Hyperintensity on T1WI in cerebral infarction primarily correlates with HT and could be a valuable diagnostic marker for HT, with age, atherosclerosis and infarct size identified as potential influencing factors.
Supply chain environmental sustainability and corporate financial performance: The mediating role of supplier involvement

The growing concern over environmental degradation and resource depletion has led to a shift in supply chain (SC) management towards sustainability, resulting in the emergence of sustainable supply chain (SSC) management (SSCM). In this paper, we investigate the relationship between SC environmental sustainability (SCES), supplier involvement, and corporate financial performance (CFP). Specifically, we explore whether and how SCES influences CFP, and whether supplier involvement mediates this relationship. To achieve this, we conduct a study using bootstrap-based structural-equation modelling to analyze a sample of 110 Taiwanese manufacturing firms, with 1,000 resamples used to enhance the reliability and validity of the results. Our findings indicate that SCES has a significant positive impact on CFP, highlighting the importance of environmental sustainability for firms seeking to achieve superior financial performance. Furthermore, we find that SCES positively influences supplier involvement, which in turn affects CFP. This suggests that supplier involvement is an important mechanism through which SCES contributes to CFP. Our analysis also reveals that supplier involvement mediates the relationship between SCES and CFP, providing empirical evidence that supplier involvement plays a key role in translating sustainability initiatives into financial performance. Overall, our study provides important insights into the benefits of SSCM and highlights the importance of supplier involvement in achieving sustainable and financially successful supply chains. The implications of our findings for researchers and practitioners are discussed, and future research directions are identified.
Differences in the Chromogenic Effect of Corn Starch and Potato Starch on Paprika Red Pigment and Structural Characterisation

The present study aims to investigate the chromogenic effect and the interaction between starch-pigment complexes of corn starch (CS) and potato starch (PS) complexed with paprika red pigment. Compared to PS, CS showed 12.5 times higher adsorption capacity for paprika red pigment. Additionally, the a* value of CS-P (26.90 ± 0.23) was significantly higher than that of PS-P (22.45 ± 1.84), resulting in a corn starch-paprika red pigment complex (CS-P) with a more intense red colour. The addition of paprika red pigment significantly decreased the particle size and porosity of CS by 48.14 ± 5.29% and 17.01 ± 3.80%, respectively. Conversely, no significant impact on PS was observed. Additionally, the Fourier transform infrared (FT-IR) spectroscopy results revealed that the starch molecules and paprika red pigment were bound to each other through strong hydrogen bonds. X-diffraction (XRD) results indicated that the starch-paprika red pigment complexes have a V-shaped structure. Furthermore, the relative crystallinity of the complexes between starch and red pepper pigment showed an increasing trend, however, the relative crystallinity of CS increased significantly by 11.77 ± 0.99–49.21 ± 3.67%. Consequently, the CS-P colouring was good.
STUDENT AND YOUTH TRAVEL: MOTIVATION, NEEDS AND DECISION- MAKING PROCESS. A CASE STUDY FROM VIETNAM

This paper identifies travelling patterns and motivational factors among university students. In addition, several determinants in tourism decision-making process are assessed in regard to their importance. A mixed approach (focus group and survey) was employed. The data on which this paper is based was collected from 231 students through a self-administered questionnaire. Travelling patterns of students in terms of travelling frequency, time, average duration, spending, and companions are described. Besides, the result assesses the importance of push factors over pull factors in motivating the youth to travel. Finally, the findings show that young tourists concern safety level at the destination most; and transportation means, accommodation, and food provided by travel operators during the trip are the main factors affecting their choice of a tourism package. The main limitation of the research relates to sample size and questionnaires. As regard to practical implications, in order to attract student-being travelers and make profits, travel agencies and service providers at tourism destinations need to understand their concerns, therefrom developing plans to meet their requirements.