Miracle-dz/UniFAR-FTUs huggingface dataset:
Is there Genetic Differentiation in the Pyrenean Population of Tengmalm's Owl Aegolius Funereus?

Summary. Several boreal taxa can be found in southern latitudes in fragments of high altitude alpine habitat. Some of these taxa have remained isolated from the main populations in northern latitudes as a result of the distribution changes during the last glaciations, being known as glacial relict populations. Such relict populations have often differentiated from the main population as a result of isolation and genetic drift. The Tengmalm's owl Aegolius funereus is a widespread boreal forest species distributed throughout boreal Eurasia and North America. The westernmost Eurasian breeding population is located in the Pyrenees Mountains, and was discovered less than 50 years ago. We studied the genetic structure of this Pyrenean population of Tengmalm's owl, and compared it with a northern latitude population from Fennoscandia. Despite being isolated by several hundred kilometres from the closest breeding grounds, we found no differences in the genetic structure of the mitochondrial DNA when compared with the central population. Our results suggest that this population has been recently, or still is connected with the main population.
Feasibility Study of X-ray Fluorescence Imaging System: Surface Modification Gold Nanoparticles and 2D Convolutional Neural Network

Taeyun Kim , Wooseung Lee , Jimin Lee , Sung-Joon Ye a,b* Program in Biomedical Radiation Sciences, Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, 08826, Seoul, Republic of Korea Advanced Institutes of Convergence Technology, Seoul National University, 16229, Suwon, Republic of Korea Neutron and Radioisotope Application Research Division, Korea Atomic Energy Research Institute, 34057, Daejeon, Republic of Korea Corresponding author: sye@snu.ac. kr
Deficits in short-term memory in adult survivors abuse of childhood

Exposure to stress has been associated with alterations in memory function, and we have previously shown deficits in short-term verbal memory in patients with a history of exposure to the stress of combat and the diagnosis of posttraumatic stress disorder (PTSD). Few studies of any kind have focused on adult survivors of childhood physical and sexual abuse. The purpose of this study was to investigate short-term memory function in adult survivors of childhood abuse. Adult survivors of severe childhood physical and sexual abuse (n = 21), as defined by specific criteria derived from the Early Trauma Inventory (ETI), who were presenting for psychiatric treatment were compared with healthy subjects (n = 20) matched for several variables including age, alcohol abuse, and years of education. All subjects were assessed with the Wechsler Memory Scale (WMS) Logical (verbal memory) and Figural (visual memory) components, the Verbal and Visual Selective Reminding Tests (SRT), and the Wechsler Adult Intelligence Scale-Revised (WAIS-R). Adult survivors of childhood abuse had significantly lower scores on the WMS Logical component for immediate and delayed recall in comparison to normal subjects, with no difference in visual memory, as measured by the WMS or the SRT, or IQ, as measured by the WAIS-R. Deficits in verbal memory, as measured by the WMS, were associated with the severity of abuse, as measured by a composite score on the ETI. Our findings suggest that childhood physical and sexual abuse is associated with long-term deficits in verbal short-term memory. These findings of specific deficits in verbal (and not visual) memory, with no change in IQ, are similar to the pattern of deficits that we have previously found in patients with combat-related PTSD.
Novel tools for mast cell research: Mast cell-specific Cre-mediated gene inactivation and inducible ablation of mast cells in vivo

Mast cells are well known effector cells in allergic disorders. In the recent years, however, mast cells were demonstrated to play pivotal roles in initiating and modulating innate and adaptive immune responses. The animal models available until today for the investigation of mast cell functions are primarily the Kit-mutant KitW/Wv and KitWsh/Wsh mouse strains. These mice are devoid of mast cells and can be reconstituted with mast cells from gene deficient mice. The phenotypic abnormalities, apart from mast cell deficiency, e.g. the profound perturbation of the hematopoietic system, however, limit the utility of these strains. Aiming at new models of mast cell-specific gene inactivation in vivo and of mast cell-deficiency, the Cre/loxP system was applied to allow Cre-mediated mutagenesis selectively in mast cells. BAC (bacterial artificial chromosome) transgenic animals were successfully generated that display Cre expression under the control of either the Mcpt5 or Mcpt6 promoter. Cre-mediated recombination as assessed by reporter gene expression in Mcpt5-Cre or Mcpt6-Cre R26R-EYFP double positive mice was found to be highly efficient in peritoneal and skin mast cells, but was not found in hematopoietic cell populations other than mast cells. Thus, the new mast cell-specific Cre transgenic mouse lines will provide useful tools for the investigation of mast cell-specific functions of individual genes. Furthermore, the Mcpt5-Cre strain was used to establish a new model for inducible ablation of mast cells in adult mice. By crossing this line to the iDTR strain, which expresses the high affinity diphtheria toxin receptor (DTR) after Cre-mediated deletion of a stop element, mast cells were rendered diphtheria toxin (DT) sensitive. DT treatment of Mcpt5-Cre iDTR double positive mice resulted in successful ablation of connective tissue type mast cells (CTMC), but not of mucosal mast cells (MMC). The depletion of CTMC resulted in significant reduction of a passive, systemic anaphylactic response demonstrating that this system for mast cell ablation represents a useful model for the investigation of mast cell functions during immune responses. Interestingly, the repopulation of the peritoneal cavity and the skin with mast cells after DT-mediated mast cell depletion followed a very slow kinetic with a noteworthy recurrence of peritoneal mast cells three months after DT treatment. Skin mast cells do not return significantly within a period of four months. Thus, the long persistence of the mast cell-depleted state allows the application of this system for long-term experiments and should provide new insights into the mechanisms of mast cell homeostasis and recruitment.
INFORMATION SECURITY IN THE WORLD OF DIGITAL NATIVES: HOW INTERNET ADDICTION, SENSATION SEEKING AND INFORMATION SECURITY BEHAVIORS ARE RELATED GIZEM

In the study, information security awareness of young persons, named as digital natives, is evaluated within the context of internet addictions and sensation seeking. The sample of the study consisted of 246 students. The most important finding of this study was that internet addiction had significant positive relationships with risky behaviors, exposure to crime and protective behaviors. Risky behavior scores of females and sensation seeking scores of males were significantly higher. Any significant relationship between sensation seeking and information security awareness could not be observed. Results indicated that individuals with higher internet addiction may be under greater risk in terms of information security. Keywords— Information Security, Awareness, Addictive Internet Use, Sensation Seeking.
Enhancement in Financial Time Series Prediction With Feature Extraction in Text Mining Techniques

---------------------------------------------------------------------------***--------------------------------------------------------------------------- Abstract - News has been a very important supply for several monetary statistic predictions supported elementary analysis. However, digesting an enormous quantity of reports and information revealed on the net to predict a market will be heavy. This paper introduces a subject model supported latent Dirichlet allocation (LDA) to get options from a mix of text, particularly news articles and monetary statistic, denoted as monetary LDA (FinLDA). The options from FinLDA are served as extra input options for any machine learning algorithmic program to boost the prediction of the monetary statistic. The Proposed System offer posterior distributions employed in chemist.
A NOVEL APPROACH OF A SINGLE-INPUT MULTI-OUTPUTS CONVERTER FOR A MODIFIED DC NANOGRID WITHIN AN OPEN ENERGY SYSTEM

A DC nano-grid is typically designed as a reliable system that can supply power from the distributed renewable energy sources to the local loads. Traditional nano-grid employs two-stage ac-dc power converter/inverter sets to feed both ac and dc loads respectively. But, modified nano-grid utilizes only one single-stage converter. This system is based on a powerelectronic single-input multi-output converter which interfaces the source with the average load demands. This paper deals with a switched boost inverter (SBI) applicable for solar photovoltaic system (PV) as its renewable energy source. SBI is a single-stage power converter that can supply both dc and ac loads simultaneously from a single dc input voltage source. The SBI can also produce an ac output voltage either greater or lower than its dc input voltage. This converter exhibits better Electro Magnetic Interference (EMI) noise immunity as compared to the two stage-power converter. Also, this converter operation allows shootthrough of the inverter legs without damage to its IGBTswitches. So, this paper discusses the advantages, structure, steady-state analysis, and PWM control technique for the SBI especially, when produces a high-rating dc-output voltage from a very-low input-voltage of a PVsolar array to establish its verification. Matlab/Simulink-based simulation is performed for several cases of operations – with PV-mathematical modelto test the robustness of this converter against the supply fluctuations. Also, the harmonic spectrum analysis for the load current is also computed and plotted for a 5-Kw proposed nanogrid.
VOLTAGE STABILITY MARGIN ENHANCEMENT THROUGH OPTIMAL LOCATION OF VAR COMPENSATOR

It is well known that voltage stability enhancement margin is interrelated with reactive power loss. To minimize the reactive power loss, location and placement of reactive power improvement devices is a major task. This paper introduces a PSO based method to find the location of series capacitors to be implanted to minimize the total reactive power loss in a power system network. The established indicator s loss dK dQ is used for the voltage stability assessment and also to find the change in reactive power loss. So obtained the series compensation requirement with the degree of compensation Ks, the voltage stability assessment is carried out on an IEEE-14 and IEEE-30 bus system. The Evolutionary computing algorithms are applied to minimize the series reactive power loss with the optimal degree of compensation. The stability assessment of the system also was carried out with Ks using PSAT. The Particle Swarm optimization results are compared with the solution obtained by the Genetic Algorithm(GA) . The comparison shows that the proposed Particle swarm optimization(PSO) technique of series reactive power loss minimization with the optimal location of series capacitors is more efficient and effective.
NKS Search in Multidimensional Dataset with and without using User Preference

Conventional spatial queries, such as range search and nearest neighbor retrieval, involve only conditions on objects’ geometric properties. Today, many modern applications call for novel forms of queries that aim to ﬁnd objects satisfying both a spatial predicate, and a predicate on their associated texts. For example, instead of considering all the restaurants, a nearest neighbor query would instead ask for the restaurant that is the closest among those whose menus contain “steak, spaghetti, brandy” all at the same time. we develop a new access method Preference Tree with user preference. In Preference Tree time and distance is using as parametrs.We develop another method for without user preferences by Z curve method. The proposed techniques outperform in query response time signiﬁcantly.
Primary voltage and current control for an autonomous inverter-based microgrid

This paper presents a new technique to design the voltage and current controllers in an inverter-based microgrid. The proposed method provides a systematic approach to design the controllers based on Lyapunov theory, and does not utilize the conventionally employed Proportional-Integral (PI) controllers, which are difficult to tune. Also, the use of PI controllers requires the simultaneous synchronization of tuning parameters in different stages of a larger system that render their use to be extremely tedious for large industrial applications. The novelty of the proposed controllers lies in the methodical design procedure and a flexibility to model the controller without analyzing the system equations and eigenvalues. Lyapunov Direct Method has been used to design the controllers for adequate active and reactive power sharing among different Distributed Energy Resources (DERs) present in a microgrid. The proposed controller has been tested on a test system and has manifested its advantage over its conventional counterpart in terms of less settling time, lower overshoot, and zero steady-state error in the observed control signals, along with expected objectives of adequate power sharing and voltage regulation in the system.
Interaction Control for Human-Exoskeletons

In this work, a general concept of the human-exoskeleton compatibility and interaction control is addressed. Rehabilitation, as applied to humans with motor control disorder, involves repetitive gait training in relation to lower limb extremity and repetitive task training in relation to upper limb extremity. It is in this regard that exoskeletal systems must be kinematically compatible with those of the subject in order to guarantee that the subject is being trained properly. The incompatibility between the wearable robotic device and the wearer results in joint misalignment, thus introducing interaction forces during movement. This, therefore, leads to the introduction of the need for interaction control in wearable robotic devices. Human-exoskeleton joint alignment is an uphill task; hence, measures to actualize this in order to guarantee the safety and comfort of humans are necessary. These measures depend on the types of joints involved in the rehabilitation or assistive process. Hence, several upper and lower extremity exoskeletons with concepts relating to interaction forces reduction are reviewed. The significant distinction in the modelling strategy of lower and upper limb exoskeletons is highlighted. Limitations of certain exoskeletal systems which may not allow the application of interaction control are also discussed.
An asymptotically faster version of FV supported on HPR

State-of-the-art implementations of homomorphic encryption exploit the Fan and Vercauteren (FV) scheme and the Residue Number System (RNS). While the RNS breaks down large integer arithmetic into smaller independent channels, its non-positional nature makes operations such as division and rounding hard to implement, and makes the representation of small values inefficient. In this work, we propose the application of the Hybrid Position-Residues Number System representation to the FV scheme. This is a positional representation of large radix where the digits are represented in RNS. It inherits the benefits from RNS and allows to accelerate the critical division and rounding operations while also making the representation of smaller values more compact. This directly benefits the decryption and the homomorphic multiplication procedures, reducing their asymptotic complexity, in dimension n, from $\mathcal{O}(n^2 \log n)$ to $\mathcal{O}(n\log n)$ and from $\mathcal{O}(n^3 \log n)$ to $\mathcal{O}(n^3)$, respectively and has resulted in noticeable speedups when experimentally compared to related art RNS implementations.
Indicators of agricultural intensity and intensification: a review of the literature

Since the 1960s, research has dealt with agricultural intensification (AI) as a solution to ensure global food security. Recently, sustainable intensification (SI) has increasingly been used to describe those agricultural and farming systems that ensure adequate ecosystem service provision. Studies differ in terms of the application scales and methodologies, thus we aim to summarize the main findings from the literature on how AI and SI are assessed, from the farm to global levels. Our literature review is based on 7865 papers selected from the Web of Science database and analysed using CorText software. A further selection of 105 relevant papers was used for an in-depth full-text analysis on: i) farming systems studied; ii) related ecosystem services; iii) indicators of intensity; and iv) temporal and spatial scales of analysis. Through this two-step analysis we were able to highlight three main research gaps in the AI research indicators. Firstly, the farming systems analysed for assessing AI are often quite simplified or monoculture- oriented, and they do not take the diversity and complex organisation of farming systems into account. Secondly, these studies mainly focus on northern countries or developing countries, whereas there is a gap of knowledge in Mediterranean areas, which are the areas with a high complexity of farming systems and diversity in ecosystem services. Finally, AI is mostly assessed through nitrogen inputs and economic yield, which are used the most both at very local and global levels. Intermediate regional or local levels, which are relevant for policy implementation and local planning, are often neglected.
A 3D biofabricated cutaneous squamous cell carcinoma tissue model with multi-channel confocal microscopy imaging biomarkers to quantify antitumor effects of chemotherapeutics in tissue

Cutaneous squamous cell carcinoma (cSCC) causes approximately 10,000 deaths annually in the U. S. Current therapies are largely ineffective against metastatic and locally advanced cSCC. There is a need to identify novel, effective, and less toxic small molecule cSCC therapeutics. We developed a 3-dimensional bioprinted skin (3DBPS) model of cSCC tumors together with a microscopy assay to test chemotherapeutic effects in tissue. The full thickness SCC tissue model was validated using hematoxylin and eosin (H&E) and immunohistochemical histological staining, confocal microscopy, and cDNA microarray analysis. A nondestructive, 3D fluorescence confocal imaging assay with tdTomato-labeled A431 SCC and ZsGreen-labeled keratinocytes was developed to test efficacy and general toxicity of chemotherapeutics. Fluorescence-derived imaging biomarkers indicated that 50% of cancer cells were killed in the tissue after 1μM 5-Fluorouracil 48-hour treatment, compared to a baseline of 12% for untreated controls. The imaging biomarkers also showed that normal keratinocytes were less affected by treatment (11% killed) than the untreated tissue, which had no significant killing effect. Data showed that 5-Fluorouracil selectively killed cSCC cells more than keratinocytes. Our 3DBPS assay platform provides cellular-level measurement of cell viability and can be adapted to achieve nondestructive high-throughput screening (HTS) in bio-fabricated tissues.
Real world application of event-based end to end autonomous driving

End-to-end autonomous driving has recently been a popular area of study for deep learning. This work studies the use of event cameras for real-world deep learned driving task in comparison to traditions RGB cameras. In this work, we evaluate existing stateof-the-art event-based models on offline datasets, design a novel model that fuses the benefits from both event-based and traditional frame-based cameras, and integrate the trained models on board a full-scale vehicle. We conduct tests in a challenging track with features unseen to the model. Through our experiments and saliency visualization, we show that event-based models actually predict the existing motion of the car rather than the active control the car should take. Therefore, while event-based models excel at offline tasks such as motion estimation, our experiments reveal a fundamental challenge in applying event-based end-to-end learning to active control tasks, that the models need to learn reasoning about future actions with a feedback loop that impacts its future state.
A Hole in the Ladder : Interleaved Variables in Iterative Conditional Branching

The modular exponentiation is crucial to the RSA cryptographic protocol, and variants inspired by the Montgomery ladder have been studied to provide more secure algorithms. In this paper, we abstract away the iterative conditional branching used in the Montgomery ladder, and formalize systems of equations necessary to obtain what we call the semi-interleaved and fully-interleaved ladder properties. In particular, we design fault-injection attacks able to obtain bits of the secret against semi-interleaved ladders, including the Montgomery ladder, but not against fully-interleaved ladders that are more secure. We also apply these equations to extend the Montgomery ladder for both the semi- and fully-interleaved cases, thus proposing novel and more secure algorithms to compute the modular exponentiation.
MODELING AND SIMULATION OF VARIOUS LUO CONVERTER TOPOLOGIES FED BLDC DRIVE USING SOLAR PV ARRAY

The Conversion technique is one of the vast research areas in the field of power electronics. The equipments which are used in the conversion technique are found to have many applications in industry, research and development. All the existing DC/DC converters are designed to meet the requirements of certain applications only. The voltage lift technique is the most popular technique widely used in electronic circuit design. Since the effect of basic circuit elements limits the output voltage and power transfer efficiency of DC-DC converters, the voltage lift technique is an efficient technique to improve circuit characteristics. This paper deals with the analysis from the types of Luo converter such as (positive output LUO converter, negative output LUO converter and double output LUO converter) is connected with Brushless DC motor. The Main objective of this paper is to justify the suitable DC-DC converter for the BLDC Motor based upon application. The Solar Photo Voltaic Array is used to get the source and in which we using the MPPT technique (incremental conductance method) for getting the maximum power. The source is given to the Developed DC-DC converters used separately and given to the BLDC motor. The Voltage source inverter is used to get rotor supply in which 120 degree is used. The result is obtained by using the MATLAB software and the result is compared.