Miracle-dz/UniFAR-FTUs huggingface dataset:
Taphonomy of the middle Cambrian (Drumian) Ravens Throat River Lagerstätte, Rockslide Formation, Mackenzie Mountains, Northwest Territories, Canada

The Middle Cambrian (series 3, Drumian, Bolaspidella Biozone) Ravens Throat River Lagerstatte in the Rockslide Formation of the Mackenzie Mountains, northwestern Canada, contains a Burgess Shale-type biota of similar age to the Wheeler and Marjum formations of Utah. The Rockslide Formation is a unit of deep-water, mixed carbonate and siliciclastic facies deposited in a slope setting on the present-day northwestern margin of Laurentia. At the fossil-bearing locality, the unit is about 175 m thick and the lower part onlaps a fault scarp cutting lower Cambrian sandstones. It consists of a succession of shale, laminated to thin-bedded lime mudstone, debris-flow breccias, minor calcareous sandstone, greenish-coloured calcareous mudstone and dolomitic siltstone, overlain by shallow-water dolostones of the Broken Skull Formation, which indicates an overall progradational sequence. Two ~1-m-thick units of greenish calcareous mudstone in the upper part exhibit soft-bodied preservation, yielding a biota dominated by bivalved arthropods and macrophytic algae, along with hyoliths and trilobites. It represents a low-diversity in situ community. Most of the fossils occur in the lower unit, and only the more robust components are preserved. Branching burrows are present under the carapaces of some arthropods, and common millimetre-sized disruptions of laminae are interpreted as bioturbation. The fossiliferous planar-laminated calcareous mudstone consists of chlorite, illite, quartz silt, calcite and dolomite and is an anomalous facies in the succession. It was deposited via hemipelagic fallout of a mixture of platform-derived and terrestrial mud. Geochemical analysis and trace-element proxies indicate oxic bottom waters that only occasionally might have become dysoxic. Productivity in the water column was dominated by cyanobacteria. Fragments of microbial mats are common as carbonaceous seams. Complete decay of soft tissues was interrupted due to the specific sediment composition, providing support for the role of clay minerals, possibly chlorite, in the taphonomic process.
Least Co-Residence: A Novel Virtual Migration Algorithm for Mitigating Side-Channel Attacks

The advent of cloud platforms has revolutionized the landscape of modern business and user computing by providing a scalable and cost-effective alternative to the traditional model of purchasing and maintaining equipment. However, the coresidence feature, which is inherent to virtual machines (VMs) in cloud platforms, creates vulnerabilities that attackers can exploit to launch cache-based side-channel attacks, thereby compromising the security of user information. To address this problem, this paper proposes a hot migration algorithm based on a multiarmed bandit (MAB) model, which leverages physical machine (PM) migration between PMs to mitigate side-channel attacks in the cloud. Our proposed algorithm achieves the optimal timeaverage reward and ensures the security of the cloud platform, thereby outperforming other algorithms. The findings of this study have significant implications for the development of secure cloud computing systems, with the potential to enhance user privacy and safeguard against cyber threats.
Hotel Sales Forecasting with LSTM and N-BEATS

Time series forecasting aims to model the change in data points over time. It is applicable in many areas, such as energy consumption, solid waste generation, economic indicators (inflation, currency), global warming (heat, water level), and hotel sales forecasting. This paper focuses on hotel sales forecasting with machine learning and deep learning solutions. A simple forecast solution is to repeat the last observation (Naive method) or the average of the past observations (Average method). More sophisticated solutions have been developed over the years, such as machine learning methods that have linear (Linear Regression, ARIMA) and nonlinear (Polynomial Regression and Support Vector Regression) methods. Different kinds of neural networks are developed and used in time series forecasting problems, and two of the successful ones are Recurrent Neural Networks and N-BEATS. This paper presents a forecasting analysis of hotel sales from Türkiye and Cyprus. We showed that N-BEATS is a solid choice against LSTM, especially in long sequences. Moreover, N-BEATS has slightly better inference time results in long sequences, but LSTM is faster in short sequences.
Graphene-Based Composites for Biomedical Applications: Surface Modification for Enhanced Antimicrobial Activity and Biocompatibility

The application of graphene-based materials in medicine has led to significant technological breakthroughs. The remarkable properties of these carbon materials and their potential for functionalization with various molecules and compounds make them highly attractive for numerous medical applications. To enhance their functionality and applicability, extensive research has been conducted on surface modification of graphene (GN) and its derivatives, including modifications with antimicrobials, metals, polymers, and natural compounds. This review aims to discuss recent and relevant studies related to advancements in the formulation of graphene composites, addressing their antimicrobial and/or antibiofilm properties and evaluating their biocompatibility, with a primary focus on their biomedical applications. It was concluded that GN surface modification, particularly with compounds intrinsically active against bacteria (e.g., antimicrobial peptides, silver and copper nanomaterials, and chitosan), has resulted in biomaterials with improved antimicrobial performance. Furthermore, the association of GN materials with non-natural polymers provides composites with increased biocompatibility when interfaced with human tissues, although with slightly lower antimicrobial efficacy. However, it is crucial to highlight that while modified GN materials hold huge potential, their widespread use in the medical field is still undergoing research and development. Comprehensive studies on safety, long-term effects, and stability are essential before their adoption in real-world medical scenarios.
The Background and Development of Early Farming Communities in Mesopotamia and the Zagros

Mesopotamia is an elongated basin running from Syria south-eastwards to the Persian Gulf. It is bordered on the south-west by the Arabian massif, on the north by the mountains of Anatolia, and on the east by the Zagros range. Agriculture in this basin is controlled by climate to an extent unknown in Europe, particularly by water supply, which may come from rainfall or from rivers that flow out of the mountains. The modern boundary of rainfall sufficient for agriculture, which for practical purposes may be taken as 200 mm or 8 in reliable annual aggregate, runs across northern Mesopotamia from west to east and then turns south-east, following the foothills of the Zagros (fig. 1). We have at present no reason to think that this approximate boundary has shifted appreciably during the period with which we are concerned, although there were almost certainly marginal fluctuations. The limited palynological evidence, which comes from the mountainous regions north and east of Mesopotamia, suggests that after about 12000 bc both temperature and precipitation gradually increased and that by about 9000 bc oak and pistachio trees were beginning to reinvade the Zagros foothills, an area from which they had been eradicated during the cooler temperatures of the last glacial period (van Zeist and Wright 1963; Wright 1968; van Zeist 1969).
Pseudovitelliform Macular Dystrophy and Pigment Dispersion Syndrome: Are They Related?

Pseudovitelliform macular dystrophy (PVMD) and pigment dispersion syndrome (PDS) are benign diseases that can evolve to a very severe stage. It is very rare to encounter both diseases in the same patient. We report a 42-year-old patient that presented a blurry vision. The anterior and posterior segment examination found pseudovitelliform macular degeneration associated with pigment dispersion syndrome. No other case was reported in the literature. The physiopathology and the location of the two diseases are very different. Both pathologies are frequently benign. A combination of them should be considered a risk for the patient. More cases of the two diseases should be reported to the literature if found and it could maybe lead to a link between them.
The impact of anticoagulant therapy on patients with hemorrhagic stroke: a retrospective observational study from eICU database

: The timing and effectiveness of anticoagulant therapy (AT) are controversial in patients with hemorrhagic stroke (HS). We aim to evaluate the potential impact of AT on in-hospital mortality in HS, and how this impact is influenced by the Acute Physiological and Chronic Health Evaluation (APACHE) IV score. We identified individuals with hemorrhagic stroke as the primary diagnosis (n=1654) using individual patient data from a national multicenter cohort study (eICU database; n=200859). With in-hospital mortality as the primary outcome, hemorrhagic stroke patients were split into the anticoagulant therapy group and the other treatment (OT) group. First, univariate and multivariate logistic regression analyses were conducted to identify independent predictors of in-hospital mortality in patients receiving different forms of treatment. Next, the independent predictor's interaction with the AT status was evaluated.Resultly, 8.3%(n=137) of patients were in AT group. The survival rate in the AT group was significantly higher than that in the OT group (87.6% vs. 78.8%; P < 0.05). AT was an independent predictor of in-hospital mortality risk in the entire cohort [OR= 0.
Updated Adjuvant Chemotherapy for Gastric Cancer

Surgical resection is currently the best curative approach for gastric cancer (GC); however, the prognosis of patients with advanced GC remains poor even with curative resection. For this reason, perioperative chemotherapy has been combined with surgery to reduce the risk of postoperative recurrence. Standard perioperative chemotherapy for resectable advanced GC varies from region to region. Postoperative S-1 therapy was standardized via the ACTS-GC study in East Asia, perioperative ECF (Epirubicin + Cisplatin + Fluorouracil) was standardized via the MAGIC study in Europe, and postoperative chemoradiotherapy was standardized via the US intergroup study in North America. Since then, more intensive regimens have been developed. In recent years, perioperative therapy using novel agents, such as molecular-targeted drugs and immune checkpoint inhibitors (ICIs), has also been tested and evaluated in the three major regions (East Asia, Europe, and North America) with promising results. Perioperative chemotherapy has become an integral part of many treatment strategies and requires continued research and evaluation.
ANALISIS PERHITUNGAN INDIVIDU PADA POHON PINUS MENGGUNAKAN METODE LOCAL MAXIMA DARI CITRA UAV (UNMANNED AERIAL VEHICLE)

Salah satu sentra utama populasi hutan pinus Jawa Barat berada di Sukabumi yang terletak di beberapa kecamatan, diantaranya: Kec. Sagaranten, Kec. Bojong lopang, Kec. Jampang dan Kec. Pelabuhan Ratu yang pengelolaannya dilakukan di sejumlah kawasan hutan produksi. Teknologi yang efektif untuk melakukan monitoring pada sektor pekebunan adalah teknologi penginderaan jauh (remote sensing), seperti pesawat tanpa awak/drone atau UAV. Tujuan dari penelitian ini adalah mengidentifikasi hasil perhitungan pohon pinus dari citra UAV menggunakan metode local maxima dan ratiogreen, serta menganalisa akurasi dari hasil perhitungan pohon pinus. Hasil penelitian pada kelas minimum 4 meter identifikasi jumlah pohon dengan metode local maxima terdapat 4.166 pohon. Sedangkan dengan mengkombinasi antara local maxima dan ratiogreen menghasilkan identifikasi sebanyak 4.011 pohon. Pada kelas minimum 3 meter, identifikasi jumlah pohon dengan metode local maximaterdapat 4.731 pohon, sedangkan dengan mengkombinasi antara local maxima dan teknik ratiogreen menghasilkan identifikasi sebanyak 4.540 pohon.
Robust Data-Driven Fault Diagnostics for Rotating Machinery Operating under Varying Working Conditions

Rotating machines play a vital role in many industrial applications, ranging from power generation to manufacturing. The early detection of mechanical faults in industrial rotating machines is crucial for enhancing the reliability and safety of industrial systems. This research focuses on rotating machines that operate under varying working conditions, which exhibit specific characteristics that make the development of practical data-driven fault diagnostics methods challenging. The paper proposes a methodology that aims to develop robust techniques that can operate effectively in real industrial environments. To simulate rotating machinery operating under varying working conditions, an experimental protocol is conducted, and the resulting vibration signals are analyzed. Finally, the study describes an approach to train data-driven methods based on realistic data availability scenarios.
Evaluation The Effects of Ethylmethacrylate and Isobutylmethacrylate on Transverse Strength Of Heat-Polymerized Acrylic Resins

Background in order to regain esthetic, patients are given an ocular prosthesis. The majority of them are made of poly methyl methacrylate resin (PMMA), which is a popular material for maxillofacial prostheses including ocular prostheses, Fracture of poly methyl methacrylate occurs due to several reasons involving careless handling and falling of ocular prosthesis on hard surfaces, it is essential to strength the acrylic to improve the transverse strength of the resin. Materials &methods :50 samples were constructed from heat cured acrylic resins and divided into three groups (1control and 2 experimental group) Each group had ten specimens. The two experimental groups comprised the IBMA, EMA monomer at 1% and 2% concentrations, respectively. Such samples were prepared with dimensions of 65 mm x 10 mm x 2.5mm ± 0.1 length, width and thickness respectively according to (ADA specification, No.12, 1999). All the samples were tested for transverse strength. All data were analyzed using SPSS version 20. Tukey test was used for comparison between the groups.Results: There were highly significant differences (P<0.001) on the transverse strength between the control group and EMA, IBMA copolymers. Conclusion: The scleral acrylic resin incorporation with 1% and 2% wt % EMA, IBMA copolymers showed insignificant increase in transverse strength
Giloy (Tinospora cordifolia) Extract Mediated Biochemical, Haematological and Histological Alterations in Mice

Tinospora cordifolia (TC), a medicinal plant deeply integrated into India's folklore and Ayurvedic medical tradition, has been a reliable remedy for addressing various health concerns. Despite its proven efficacy in managing diseases, it is essential to exercise prudence regarding its dosage, as excessive consumption may result in undesirable consequences. This present study seeks to ascertain if the methanolic extract of TC triggers any adverse effects on organ function, haematological parameters, or biochemical profiles. The extract was administered intra peritoneally (IP) into the Swiss albino mice at a concentration of 300mg/kg body weight and observations were taken on 7th and 14th day. In comparison to control groups, the levels of haemoglobin (Hb), packed cell volume (PVC), red blood corpuscles (RBC), red cell distribution width (RCW), and platelet count increase. However, significant decrease was also observed in the levels of erythrocyte sedimentation rate (ESR) and lymphocytes. Blood biochemical analysis reveals a significant increase in urea but a subsequent decrease in blood sugar levels. The findings unequivocally illustrate the disruption in the seminiferous tubules of the testis, accompanied by a decrease in spermatid count. Furthermore, observable damage to kidney tissues was noted. Based on these observations, it can be inferred that, despite its multifaceted therapeutic applications, TC extract may exert toxic effects in mice.
Letˋs Pay Attention to Covid and Move Forward

Introduction: Zoonoses are diseases transmitted from animals to humans and pose a major threat to human health and life. Animals are often asymptomatic carriers of pathogens and spread them in the environment with their excreta. Their course varies from the common cold to more severe and often fatal diseases in humans. Before the COVID-19 infection caused the global pandemic in 2020, coronavirus diseases were primarily of veterinary interest. The COVID-19 pandemic has changed the way we live and strained healthcare systems around the world. This pandemic has necessitated the development of protective and therapeutic measures against the spread of SARS-CoV-2. The lack of optimal vaccine against SARS-CoV-2 offering long-lasting protection against the different viral variants, as well as a drug, allowing the treatment of all variants of COVID-19 directed us to the use of dietary components and agents that are applicable in the context of competitive inhibition by blocking part of the receptors to protect against coronavirus-related diseases. Discussion: Lactobacillus and carrageenans may have a protective effect against SARS-CoV-2 infection alone or in combination in healthy subjects. Reducing the viral load in the nasopharynx may drastically reduce the risk of transmission of COVID-19. Infectious diseases are among the strongest types of selective pressure driving human evolution. Genetics in the coming decades will likely allow us to understand the dynamics of human immune system formation. By learning from our mistakes and successes, we will be able to more successfully deal with the challenges posed by zoonoses in the future.
Sistemas Automáticos de Calificación de Tareas de Programación: Revisión y Crítica

La corrección de las tareas de programación de computadoras es una actividad crítica y de alto consumo de tiempo para los académicos. Como respuesta a este problema, se han propuesto diversos sistemas de retroalimentación y calificación automática. Este artículo presenta una revisión de sistemas y enfoques de corrección y calificación automatizada de tareas de programación con el objetivo de ofrecer un mapa general de las funciones de estos sistemas y sus desafíos. Los resultados muestran que existe una importante diferencia entre la industria y la academia, así como una carencia en marcos de evaluación para estas herramientas.
L-DIG: A GAN-Based Method for LiDAR Point Cloud Processing under Snow Driving Conditions

LiDAR point clouds are significantly impacted by snow in driving scenarios, introducing scattered noise points and phantom objects, thereby compromising the perception capabilities of autonomous driving systems. Current effective methods for removing snow from point clouds largely rely on outlier filters, which mechanically eliminate isolated points. This research proposes a novel translation model for LiDAR point clouds, the ‘L-DIG’ (LiDAR depth images GAN), built upon refined generative adversarial networks (GANs). This model not only has the capacity to reduce snow noise from point clouds, but it also can artificially synthesize snow points onto clear data. The model is trained using depth image representations of point clouds derived from unpaired datasets, complemented by customized loss functions for depth images to ensure scale and structure consistencies. To amplify the efficacy of snow capture, particularly in the region surrounding the ego vehicle, we have developed a pixel-attention discriminator that operates without downsampling convolutional layers. Concurrently, the other discriminator equipped with two-step downsampling convolutional layers has been engineered to effectively handle snow clusters. This dual-discriminator approach ensures robust and comprehensive performance in tackling diverse snow conditions. The proposed model displays a superior ability to capture snow and object features within LiDAR point clouds. A 3D clustering algorithm is employed to adaptively evaluate different levels of snow conditions, including scattered snowfall and snow swirls. Experimental findings demonstrate an evident de-snowing effect, and the ability to synthesize snow effects.
VECTOR MAPS IN MOBILE ROBOTICS

The aim of this paper is to provide a brief overview of vector map techniques used in mobile robotics and to present current state of the research in this field at the Brno University of Technology. Vector maps are described as a part of the simultaneous localization and mapping (SLAM) problem in the environment without artificial landmarks or global navigation system. The paper describes algorithms from data acquisition to map building but particular emphasis is put on segmentation, line extraction and scan matching algorithms. All significant algorithms are illustrated with experimental results.
Effect of Magnetic Moments Towards Swimming Behavior and Performance of the Soft Milli-Robots

Remote controllability, real-time response, and small size are critically requirement of medical devices operated in blind, unstructured, and fluidic environments of biomedical regions. Untethered swimming soft milli-robots have been developed to fulfill treatment and therapy in such that region under magnetic navigation. The soft robot's motor-less mechanism with a high-DOF utilizes magnetic compliance of the deformable structure with a minimal control of oscillating magnetic field. Theoretically, magnetic property of the robots is defined by magnetic moments consisting of orientation and strength. Orientation can be programmed by magnetizing technique, and strength is defined by quantity of magnetic moments in the structure. Herein, this work investigates how orientation and quantity of magnetic moments affect swimming behavior and performance of the robots. The soft robots are designed into three distinguish types of magnetic property embedded in the deformable structure; the I-robot has non-uniform magnetic orientation and uniform magnetic strength, the II-robot has uniform magnetic orientation and non-uniform magnetic strength, and the III-robot has non-uniform magnetic orientation and non-uniform magnetic strength. The results interestingly report that each type of robot's property functions mechanism and benefits swimming performance differently under the same control parameters. The I-robot does not have any exceptional potential, but the II-robot can be operated at the higher control frequency even reaching the step-out point. The III-robot shows the greatest performance in swimming and maneuverability. These results are useful to design a swimming soft-robot capable of applying for various purposes, especially when the demand concerns non-harm, small-scale, soft-interface, and remote controllability.
Analysis and evaluation of Observing System Simulation Experiments (OSSEs) forecast data for Indian summer monsoon

An attempt is made here to evaluate the skill of forecast during boreal summer monsoon regime over the Indian region using the Observation Simulation System Experiment (OSSE) with Doppler Wind LIDAR (DWL) onboard International Space Station (ISS), assimilated in the initial condition. Through various techniques such as pattern correlation, root mean square error etc, we found that there is some positive impact of assimilating the DWL data on the forecast particularly at the lower tropospheric level. Impact on lowering the RMSE is seen for wind fields in the 850 and 500 hPa over Indian domain but not much impact is seen over larger domain. The moisture field and cloud also show marginal impact due to assimilation of DWL. This indicates that possibly due to lower spatial resolution of DWL data and more data gap over Indian and surrounding oceanic region, the impact on forecast is less. However, it shows the promise that monsoon being a convectively coupled system; increase in spatial data by DWL may better resolve the low level wind and subsequently the low level shear which is important for convection trigger in boundary layer.