Miracle-dz/UniFAR-FTUs huggingface dataset:
Network Security Situation Prediction System Based on Neural Network and Big Data

In today's big data era, traditional methods are of low efficiency in handling network security matters, and most of the time they even don't work. The system studied in this paper, the network security situation analysis and prediction system based on neural network is designed and implemented on the Hadoop platform. By collecting distributed data and decreasing their dimensions, this system reduces the complexity of data to realize efficient processing of big data. We adopt the optimized K-Means clustering analysis algorithm to simplify the data, and we utilized the optimal association rules mining method to find threats and risks existing in the network. The above part is the network security situation analysis. On the basis of network security situation analysis, a new method based on time dimension is used to forecast the future network security situation. By blending part of predictive results and adjusting error, the system realizes security situation prediction of the whole network and a self-improving neural network, thus ensuring a higher accuracy rate. The experimental result we obtained is that the time we spend is just 12% of what consumed by the traditional method in the same amount of data. We can draw the following conclusions: 1) the system proposed in this paper can effectively save time of handling big data 2) as the amount of data increases, this system will not reduce the accuracy rate but gets 95% correct.
INTERAKSI MANUSIA DAN AI SEBAGAI PENDEKATAN DESAIN RUANG KREATIF

Human interaction and artificial intelligence (AI) in the creative industries have progressed rapidly, with AI becoming a digital tool that supports human creativity and creates creative engagement to meet the needs of original creativity. The integration of AI into the creative process influences the way creators create more innovative and complex creative content, even pushing the boundaries of their own creativity and creating works that were previously unimaginable. However, several efforts to introduce the integration of AI and humans have so far focused on museums or exhibitions as AI educational locations. Creative expression between humans and AI will require creative space that can facilitate individuals to critically evaluate AI technology; communicate and collaborate effectively with AI. So this article discusses how the trend of human and AI collaboration has brought about significant changes in creative studio design. From augmented intelligence that expands human capabilities to the use of chatbots and virtual assistants that facilitate communication. Keywords: AI; design; human interaction; creative space Abstrak Interaksi manusia dan kecerdasan buatan (AI) dalam industri kreatif telah berkembang pesat, dengan AI menjadi alat digital yang mendukung kreativitas manusia dan menciptakan keterlibatan kreatif untuk memenuhi kebutuhan kreativitas orisinil. Integrasi AI ke dalam proses kreatif mempengaruhi cara kreator membuat konten kreatif yang lebih inovatif serta kompleks, bahkan mendorong batas kreativitas mereka sendiri dan menciptakan karya yang dulunya tidak terbayangkan. Namun, beberapa upaya pengenalan integrasi AI dan manusia sampai saat ini masih berfokus di museum ataupun eksibisi sebagai lokasi edukasi AI. Ekspresi kreatif antara manusia dan AI akan membutuhkan ruang gerak kreatif yang dapat memfasilitasi individu untuk mengevaluasi secara kritis teknologi AI; berkomunikasi dan berkolaborasi secara efektif dengan AI. Maka artikel ini membahas bagaimana tren kolaborasi manusia dan AI telah membawa perubahan signifikan dalam desain studio kreatif. Dari augmented intelligence yang memperluas kemampuan manusia hingga penggunaan chatbot dan asisten virtual yang memudahkan komunikasi.
Low photolability of yedoma permafrost dissolved organic carbon

Vast stores of arctic permafrost carbon that have remained frozen for millennia are thawing, releasing ancient dissolved organic carbon (DOC) to arctic inland waters. Once in arctic waters, DOC can be converted to CO2 and emitted to the atmosphere, accelerating climate change. Sunlight‐driven photoreactions oxidize DOC, converting a portion to CO2 and leaving behind a photomodified pool of dissolved organic matter (DOM). Samples from the Kolyma River, its tributaries, and streams draining thawing yedoma permafrost were collected. Irradiation experiments and radiocarbon dating were employed to assess the photolability of ancient permafrost‐DOC in natural and laboratory generated samples containing a mix of modern and ancient DOC. Photolabile DOC was always modern, with no measurable photochemical loss of ancient permafrost‐DOC. However, optical and ultrahigh resolution mass spectrometric measurements revealed that both modern river DOM and ancient permafrost‐DOM were photomodified during the irradiations, converting aromatic compounds to less conjugated compounds. These findings suggest that although sunlight‐driven photoreactions do not directly mineralize permafrost‐DOC, photomodification of permafrost‐DOM chemistry may influence its fate and ecological functions in aquatic systems.
Reelin Signaling and Synaptic Plasticity in Schizophrenia

Recent research emphasizes the significance of studying the quality of life of schizophrenia patients, considering the complex nature of the illness. Identifying neuronal markers for early diagnosis and treatment is crucial. Reelin (RELN) stands out among these markers, with genetic studies highlighting its role in mental health. Suppression of RELN expression may contribute to cognitive deficits by limiting dendritic proliferation, affecting neurogenesis, and leading to improper neuronal circuits. Although the physiological function of reelin is not fully understood, it plays a vital role in hippocampal cell stratification and neuroglia formation. This analysis explores reelin’s importance in the nervous system, shedding light on its impact on mental disorders such as schizophrenia, paving the way for innovative therapeutic approaches, and at the same time, raises the following conclusions: increased methylation levels of the RELN gene in patients with a diagnosis of schizophrenia results in a multiple decrease in the expression of reelin, and monitoring of this indicator, i.e., methylation levels, can be used to monitor the severity of symptoms in the course of schizophrenia.
Nanotechnology Platform for Advancing Vaccine Development against the COVID-19 Virus

The COVID-19 pandemic has had a profound impact on societies, public health, healthcare systems, and the world economy. With over 771 million people infected worldwide and a staggering death toll exceeding 6,960,783 as of 4 October 2023 (according to the World Health Organization), the urgency for a solution was paramount. Since the outbreak, the demand for immediate treatment for COVID-19 viral infection, as well as for effective vaccination against this virus, was soaring, which led scientists, pharmaceutical/biotech companies, government health agencies, etc., to think about a treatment strategy that could control and minimize this outbreak as soon as possible. Vaccination emerged as the most effective strategy to combat this infectious disease. For vaccination strategies, any conventional vaccine approach using attenuated live or inactivated/engineered virus, as well as other approaches, typically requires years of research and assessment. However, the urgency of the situation promoted a faster and more effective approach to vaccine development against COVID-19. The role of nanotechnology in designing, manufacturing, boosting, and delivering vaccines to the host to counter this virus was unquestionably valued and assessed. Several nanoformulations are discussed here in terms of their composition, physical properties, credibility, and applications in past vaccine development (as well as the possibility of using those used in previous applications for the generation of the COVID-19 vaccine). Controlling and eliminating the spread of the virus and preventing future recurrence requires a safe, tolerable, and effective vaccine strategy. In this review, we discuss the potential of nanoformulations as the basis for an effective vaccine strategy against COVID-19.
Nutritional Strategies for the Management of Type 2 Diabetes Mellitus: A Narrative Review

Background: Thinking about greater adherence to dietary planning, it is extremely important to be aware of all nutritional strategies and dietary prescriptions available in the literature, and of which of them is the most efficient for the management of T2DM. Methods: A search was carried out in 2023 for randomized clinical trials, systematic reviews, meta-analyses, and guidelines in the following databases: Pubmed, Scielo, Web of Science, CrossRef and Google Scholar. In total, 202 articles were collected and analyzed. The period of publications was 1983–2023. Results: There is still no consensus on what the best nutritional strategy or ideal dietary prescription is, and individuality is necessary. In any case, these references suggest that Mediterranean Diet may of greater interest for the management of T2DM, with the following recommended dietary prescription: 40–50% carbohydrates; 15–25% proteins; 25–35% fats (<7% saturated, 10% polyunsaturated, and 10% monounsaturated); at least 14 g of fiber for every 1000 kcal consumed; and <2300 mg sodium. Conclusions: Individuality is the gold standard for dietary prescriptions, however, the Mediterranean diet with low levels of carbohydrates and fats seems to be the most promising strategy for the management of T2DM.
Research on Adaptability of Temperature Characteristic for Electric Vehicle Power Battery

The operating temperature of power lithium-ion batteries in different application scenarios and working conditions not only relates to the economic cost and power performance of the energy system, but also directly affects its life. Therefore, based on the vehicle-mounted power battery, a comprehensive battery test platform was built to carry out charge and discharge tests, and the relationship between capacity and temperature was studied. In the temperature range of -30~50℃, a temperature gradient of 20℃ was used to obtain the charge/discharge curves at different temperatures, and the temperature characteristics of the power LFP batteries were analyzed in terms of charging and discharging.Based on data analysis, the conclusions of the study provide numerical references for the control of temperature thresholds for power battery applications.
Microfluidic delivery of cutting enzymes for fragmentation of surface-adsorbed DNA molecules

We describe a method for fragmenting, in-situ, surface-adsorbed and immobilized DNAs on polymethylmethacrylate(PMMA)-coated silicon substrates using microfluidic delivery of the cutting enzyme DNase I. Soft lithography is used to produce polydimethylsiloxane (PDMS) gratings which form microfluidic channels for delivery of the enzyme. Bovine serum albumin (BSA) is used to reduce DNase I adsorption to the walls of the microchannels and enable diffusion of the cutting enzyme to a distance of 10mm. Due to the DNAs being immobilized, the fragment order is maintained on the surface. Possible methods of preserving the order for application to sequencing are discussed.
A New Rapid Simplified Model for Urban Rainstorm Inundation with Low Data Requirements

This paper proposes a new rapid simplified inundation model (NRSIM) for flood inundation caused by rainstorms in an urban setting that can simulate the urban rainstorm inundation extent and depth in a data-scarce area. Drainage basins delineated from a floodplain map according to the distribution of the inundation sources serve as the calculation cells of NRSIM. To reduce data requirements and computational costs of the model, the internal topography of each calculation cell is simplified to a circular cone, and a mass conservation equation based on a volume spreading algorithm is established to simulate the interior water filling process. Moreover, an improved D8 algorithm is outlined for the simulation of water spilling between different cells. The performance of NRSIM is evaluated by comparing the simulated results with those from a traditional rapid flood spreading model (TRFSM) for various resolutions of digital elevation model (DEM) data. The results are as follows: (1) given high-resolution DEM data input, the TRFSM model has better performance in terms of precision than NRSIM; (2) the results from TRFSM are seriously affected by the decrease in DEM data resolution, whereas those from NRSIM are not; and (3) NRSIM always requires less computational time than TRFSM. Apparently, compared with the complex hydrodynamic or traditional rapid flood spreading model, NRSIM has much better applicability and cost-efficiency in real-time urban inundation forecasting for data-sparse areas.
Spatial management of near shore coastal areas : The use of marine protected areas (MPAS) in a fisheries management context

Coastal uses have deeply evolved these last decades and high anthropogenic pressures on coastal ecosystems have affected the sustainability of these areas with respect to the services and the resources they may provide. Traditional fisheries management has failed to avoid overexploitation of most coastal marine resources. Management measures based on an Integrated Coastal Zone Management (ICZM) are thus required. Spatial management covers various ranges of properties that may enhance usual regulatory means. If spatial considerations are explicitly integrated in fisheries management, the latter may contribute to zoning design in order to balance the economic, social and biological values of natural marine resources. While traditional fisheries management approaches protect resource based on population numbers, Marine Protected Areas (MPAs) protect ecosystem in space. Besides their ecological effects on fish assemblages within its boundaries, MPAs can enhance adjacent artisanal fisheries. MPAs can thus ensure the sustainability of fisheries and at the same time maintain non-fisheries benefits of marine ecosystems to society.
The Role of γδ T-Lymphocytes in Glioblastoma: Current Trends and Future Directions

Simple Summary Glioblastoma is one of the most aggressive brain tumors, with poor survival and early recurrence rates. The development of effective immunotherapy treatments has been limited by the infiltration-resistant and immunosuppressive tumor microenvironments of these tumors. γδ T cells are unconventional T cells that have the potential to overcome these challenges through their unique recognition of molecular targets on glioblastoma cells. Nonetheless, challenges exist in the utilization of these cells, including their isolation, expansion, and potential for protumor activity. In this review, we discuss the biology of γδ T cells and their role in immunotherapy for glioblastoma and propose several research avenues for future studies. Abstract Cell-based immunotherapy for glioblastoma (GBM) encounters major challenges due to the infiltration-resistant and immunosuppressive tumor microenvironment (TME). γδ T cells, unconventional T cells expressing the characteristic γδ T cell receptor, have demonstrated promise in overcoming these challenges, suggesting great immunotherapeutic potential. This review presents the role of γδ T cells in GBM and proposes several research avenues for future studies. Using the PubMed, ScienceDirect, and JSTOR databases, we performed a review of the literature studying the biology of γδ T cells and their role in GBM treatment. We identified 15 studies focused on γδ T cells in human GBM. Infiltrative γδ T cells can incite antitumor immune responses in certain TMEs, though rapid tumor progression and TME hypoxia may impact the extent of tumor suppression. In the studies, available findings have shown both the potential for robust antitumor activity and the risk of protumor activity. While γδ T cells have potential as a therapeutic agent against GBM, the technical challenges of extracting, isolating, and expanding γδ T cells, and the activation of antitumoral versus protumoral cascades, remain barriers to their application. Overcoming these limitations may transform γδ T cells into a promising immunotherapy in GBM.
Trends of Sex Differences and Associated Factors in Stroke Outcomes Among Patients With Acute Ischemic Stroke

Background and Objectives Female patients have been shown to experience worse clinical outcomes after acute ischemic stroke (AIS) compared with male patients. We aimed to estimate the temporal trends in the sex differences in stroke outcomes and identify risk factors contributing to the sex differences spanning 10 years in China. Methods This cohort study was conducted based on data from the China National Stroke Registries (CNSRs, comprising 3 phases, I–III, from 2007 to 2018). Patients with ischemic stroke within 7 days of symptom onset were included. The primary outcome was a 12-month poor functional outcome. Other outcomes included mortality and disability-adjusted life-year (DALY) lost. The sex differences in outcomes and associated factors were estimated using multivariable logistic regression. The sex differences between CNSRs were tested by the interaction of sex and time. Results Among 42,564 patients included, 35.4% were female. The age-adjusted event rate of 12-month poor functional outcome and mortality decreased both in male and female patients after stroke onset (CNSRs I, II, and III, all p varies over time <0.001). There was a decrease in DALY lost for both sexes over the decade (male patients: from 10.1 to 9.3 DALYs; female patients: from 10.9 to 9.6 DALYs). Female patients showed worse 12-month poor functional outcome in CNSRs I and II (odds ratio [OR] with 95% CI: 1.24 [1.10–1.39] and 1.12 [1.01–1.25], respectively) compared with male patients, but the sex difference attenuated in CNSR III (OR with 95% CI: 1.02 [0.89–1.16]), with the temporal trend (p varies over time = 0.004). The sex difference and the temporal trend of the sex difference in mortality from 2007 to 2018 were not found (p varies over time = 0.45). The most important factors attenuating the sex difference in poor functional outcome in CNSRs I and III were education level, socioeconomic deprivation, baseline stroke severity, and current smoking. Discussion This study demonstrated that the sex disparity in poor functional outcome at 12 months was substantially narrowed covering 10 years and completely attenuated in 2015–2018. The findings suggested that female patients have experienced larger improvements in stroke outcomes than male patients over the past decade.
Automatic 3D Building Detection and Modeling from Airborne LiDAR Point Clouds

Urban reconstruction, with an emphasis on man-made structure modeling, is an active research area with broad impact on several potential applications. Urban reconstruction combines photogrammetry, remote sensing, computer vision, and computer graphics. Even though there is a huge volume of work that has been done, many problems still remain unsolved. Automation is one of the key focus areas in this research. In this work, a fast, completely automated method to create 3D watertight building models from airborne LiDAR (Light Detection and Ranging) point clouds is presented. The developed method analyzes the scene content and produces multi-layer rooftops, with complex rigorous boundaries and vertical walls, that connect rooftops to the ground. The graph cuts algorithm is used to separate vegetative elements from the rest of the scene content, which is based on the local analysis about the properties of the local implicit surface patch. The ground terrain and building rooftop footprints are then extracted, utilizing the developed strategy, a two-step hierarchical Euclidean clustering. The method presented here adopts a ”divide-and-conquer” scheme. Once the building footprints are segmented from the terrain and vegetative areas, the whole scene is divided into individual pendent processing units which represent potential points on the rooftop. For each individual building region, significant features on the rooftop are further detected using a specifically designed region-growing algorithm with surface smoothness constraints. The principal orientation of each building rooftop feature
Lactobacillus helveticus strains that do not ferment lactose

Lactobacillus helveticus strain not having the capacity to transform lactose into lactic acid, is new. Independent claims are included for: (1) a food product, particularly fermented dairy product, comprising at least a Lactobacillus helveticus strain; (2) the preparation of the food product comprising selecting a raw material containing milk proteins, particularly proteins containing peptide Ile-Pro-Pro and/or Val-Pro-Pro sequences, selecting Lactobacillus helveticus strain, inoculating the raw material with the strain, fermenting the raw material in the presence of glucose (1-3 wt.%) for 12-30 hours at 30-45[deg]C and in the presence of the strain; and (3) preparation of Lactobacillus helveticus strain having low lactose phenotype, comprising providing at least a Lactobacillus helveticus strain, contacting the strain with streptozotocine in the presence of lactose and isolating the colonies of low lactose phenotype.
The efficacy of intranasal leptin for opioid-induced respiratory depression depends on sex and obesity state

Introduction: Opioid-induced respiratory depression (OIRD) is the primary cause of death associated with opioids and individuals with obesity are particularly susceptible due to comorbid obstructive sleep apnea (OSA). Repeated exposure to opioids, as in the case of pain management, results in diminished therapeutic effect and/or the need for higher doses to maintain the same effect. With limited means to address the negative impact of repeated exposure it is critical to develop drugs that prevent deaths induced by opioids without reducing beneficial analgesia. Methods: We hypothesized that OIRD as a result of chronic opioid use can be attenuated by administration of IN leptin while also maintaining analgesia in both lean mice and mice with diet-induced obesity (DIO) of both sexes. To test this hypothesis, an opioid tolerance protocol was developed and a model of OIRD in mice chronically receiving morphine and tolerant to morphine analgesia was established. Subsequently, breathing was recorded by barometric plethysmography in four experimental groups: obese male, obese female, lean male, and lean female following acute administration of IN leptin. Respiratory data were complemented with measures of arterial blood gas. Operant behavioral assays were used to determine the impact of IN leptin on the analgesic efficacy of morphine. Results: Acute administration of IN leptin significantly attenuated OIRD in DIO male mice decreasing the apnea index by 58.9% and apnea time by 60.1%. In lean mice leptin was ineffective. Blood gas measures confirmed the effectiveness of IN leptin for preventing respiratory acidosis in DIO male mice. However, IN leptin was not effective in lean mice of both sexes and appeared to exacerbate acid-base disturbances in DIO female mice. Additionally, morphine caused a complete loss of temperature aversion which was not reduced by intranasal leptin indicating IN leptin does not decrease morphine analgesia. Discussion: IN leptin effectively treated OIRD in morphine-tolerant DIO male mice without impacting analgesia. In contrast, IN leptin had no effect in lean mice of either sex or DIO female mice. The arterial blood gas data were consistent with ventilatory findings showing that IN leptin reversed morphine-induced respiratory acidosis only in DIO male mice but not in other mouse groups. Finally, a hypercapnic sensitivity study revealed that IN leptin rescued minute ventilation under hypercapnic conditions only in DIO male mice, which suggests that differential responses to IN leptin are attributable to different leptin sensitivities depending on sex and the obesity status.