Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of Machine Learning-Based Malware Detection Techniques in Smartphone Environment

Hackers are spreading malware by using Android mobile devices and apps. Malware detection in Android apps is a topic of study. How can we use ML to identify harmful software in Android-based gadgets and programs? If Android apps could detect malware in real-time, it may better protect users from it. To put it simply, it will assist Android users to avoid downloading harmful apps. To aid in supervised learning, the suggested technique gathers features from APK files. Multinomial Naive Bayes, Random Forest, and Support Vector Machines are only a few of the prediction models available (SVM). To counteract harmful malware, Android devices and apps may rely on a foundation created by ML methods. There is more backing for the solution proposed. More and more malware is being discovered, and hence more training data is being collected. When more data is used for training, accuracy improves. Small tweaks might make it possible to live-track Android apps on rival devices.
Selenoprotein W Ameliorates Experimental Colitis and Promotes Intestinal Epithelial Repair

Selenoprotein W (Selenow) is a ~9 kDa selenoprotein suggested to play a beneficial role in resolving inflammation. However, the underlying mechanisms are poorly understood. SELENOW expression in the human GI tract using ScRNAseq Gut Cell Atlas and Gene Expression Omnibus (GEO) databases revealed its expression in the small intestine and colonic epithelial, endothelial, mesenchymal, and stem cells and correlated with a protective effect in ulcerative colitis patients. Selenow KO mice treated with 4% dextran sodium sulfate (DSS) showed exacerbated acute colitis, with greater weight loss, shorter colons, and increased fecal occult blood compared to the WT counterparts. Selenow KO mice expressed higher colonic Tnfα, increased Tnfα+ macrophages in the colonic lamina propria, and exhibited loss in epithelial barrier integrity and decreased zonula occludens 1 (Zo-1) expression following DSS treatment. Expression of epithelial cellular adhesion marker (EpCam), yes-associated protein 1 (Yap1), and epidermal growth factor receptor (Egfr) were decreased along with CD24lo cycling epithelial cells in Selenow KO mice. Colonic lysates and organoids confirmed a crosstalk between Egfr and Yap1 that was regulated by Selenow. Overall, our findings suggest Selenow expression is key for efficient resolution of inflammation in experimental colitis that is mediated through the regulation of Egfr and Yap1.
Schr\"odinger operators on graphs and spanning trees of tree graphs

If G is a strongly connected nite directed graph, the set T G of rooted directed spanning trees of G is naturally equipped with a structure of directed graph: there is a directed edge from any spanning tree to any other obtained by adding an outgoing edge at its root vertex and deleting the outgoing edge of the endpoint. Any Schrodinger operator on G, for example the Laplacian, can be lifted canonically to T G. We show that the determinant of such a lifted Schrodinger operator admits a remarkable factorization into a product of determinants of the restrictions of Schrodinger operators on subgraphs of G and we give a combinatorial description of the multiplicities using an exploration procedure of the graph. A similar factorization can be obtained from earlier ideas of C. Athaniasadis, but this leads to a dierent expression of the multiplicities, as signed sums on which the nonnegativity is not appearent. We also provide a description of the block structure associated with this factorization. As a simple illustration we reprove a formula of Bernardi enumerating span- ning forests of the hypercube, that is closely related to the graph of spanning trees of a bouquet. Several combinatorial questions are left open, such as giving a bijective interpretation of the results.
Properties of damped Ly α absorption systems and star-forming galaxies in semi-analytic models at z = 2

We investigate predictions from semi-analytic cosmological models of galaxy formation for the properties of star-forming galaxies (SFGs) and damped Ly α absorption systems (DLAS), and the relationship between these two populations. Our models reproduce fairly well the observed distributions of redshift, stellar mass, star formation rate (SFR), and dust extinction for z ˜ 2 SFGs. We predict that DLA hosts span a broad range of properties, with broad and relatively flat distributions of stellar and halo mass, SFR, and luminosity. The photometric colours of DLA host galaxies trace the colours of galaxies with similar luminosities, but the majority are much fainter than the limits of most existing surveys of SFGs. Generally, DLA host galaxies and SFGs at z = 2 follow similar trends between stellar mass, DLA cross-section, cold gas fraction, SFR, metallicity, and dust extinction as the global population of galaxies with the same stellar mass. Since DLAS select galaxies with larger cold gas masses, they tend to have larger cold gas fractions, lower metallicities, higher SFRs, and less dust extinction than galaxies at the same stellar mass. Our models reproduce the observed relations between impact parameter, column density, and metallicity, suggesting that the sizes of the gas discs giving rise to DLAS in our models are roughly correct. We find that molecular fractions and SFRs are in general significantly lower at the location of the DLA line of sight than the galaxy-averaged value.
AGC of Deregulated Electric Network using Slime Mould Optimization Search Strategy

Deregulated electric market is hot theme in the era of modern power utilities, due to the raising utilization of the grids. To regulate the deregulated electric network, a sophisticated optimization tactic is required. In the past decade, researchers have been exercised many optimizer, and find out the feasible solution. The solutions obtained until are not a global solution because these are non-dominated each other. Therefore, finding solution for the deregulated electric network by different optimization technique is not an end global solution. In this paper, a novel augmented Slime Mould Optimizer (SMO) is proposed to obtain the best solution for deregulated electric network. And SMO dependent PI controller was used to mitigate Automatic Generation Control (AGC) difficulties in a two-area hydro - thermal - gas electric network operating in a deregulated environment is emphasized in this research. Additionally, the dynamics of power pool company (POOLCO) strategy of GENCO's with DISCOs in the similar region are permitted to contribute to the power exchange for a modest load disturbance and the comparison findings are also shown to assess the effectiveness of the suggested tactic. The results of the simulations reveal that the SMO dependent PI controller outperforms the traditional AOA dependent PI controller.
Influence of Shift Work on The Health of Nursing Professionals

Shift work is increasingly common in health services, subjecting healthcare professionals to work schedules that can alter circadian rhythms and eating habits with consequent repercussions for the intestinal homeostasis. The objective of this study was to describe the relationship of rotating work shifts with the intestinal health, sleep quality, and emotional dimension of nursing professionals. In March and May 2019, an observational and comparative study was conducted among 380 nursing professionals from different Spanish cities and divided into fixed shift (n = 159) and rotating shift (n = 221). To carry out the present work, the variables measured were gastrointestinal symptoms, stool consistency and shape, anxiety, depression, sleep, as well as stress and work environment. Nurses with rotating shifts reported more abdominal pain and symptoms of depersonalization, as well as worse sleep efficiency and worse nursing practice environment. In addition, overall scores of the Gastrointestinal Symptom Rating Scale and Hospital Anxiety and Depression Scale were found to be significantly worse in nurses with these shifts. Rotating shift work by nursing staff may be associated with the occurrence of gastrointestinal and anxiety-related symptoms. These findings, together with the presence of negative and insensitive attitudes towards patients by nurses on rotating shifts, should be considered to maintain the quality of healthcare.
Analysis and Categorization of Emotet IoT Botnet Malware

To provide the ease control and remote monitoring, Internet of Things (IoT) plays an important role in smart devices. The IoT system ranges from smart city to healthcare sector, and supply chain management. This extent of advancement generated a huge amount of data which may be the reason of malware threats of the IoT system. IoT Malware is a threat which may affects all sectors such as business, network, telecoms, media, military, etc. The recent report claimed the proliferation of global cost of malware estimated that till 2023 it would be around 8 trillion dollars annually which may double due to coronavirus outbreak. The analysis of IoT malware needs serious concern as now warfare and digital retaliation can cause serious damage than the war lead on ground. The major aim of this paper is performing the critical analysis of an IoT malware named Emotet. The IoT malware analysis can be categorized in two types such as static and dynamic malware analysis. Static analysis is the process of analyzing malware or binary without executing it. It is considered a more effective method when it comes to the diversity of processor architecture. While dynamic analysis is based on the detection of malware and its behavior with real-time execution. This paper focused on the testbed and Analysis of Emotet malware statically and dynamically using distinguished malware analysis tools.
Vehicle Stability Analysis by Zero Dynamics to Improve Control Performance

Good stability performance is a prerequisite for the motion of vehicles controlled either by a human driver with advanced driver-assistance systems or by highly automated driving systems. Hence, vehicle motion control has become the core technology for vehicles driving everywhere in all conditions. However, vehicles might start to skid or spin, i.e., lose motion stability, even if some vehicle motion controllers are active. This motivates our work with a twofold contribution. First, we show that there are zero dynamics when input–output linearization is used in controller design. By analyzing the behavior of the zero dynamics, we identify why and under what conditions the vehicle starts to slide sideways and then spins. Second, based on the analysis results, we propose a cooperative control scheme to improve the motion stability of vehicles. A linear combination of the yaw rate and the sideslip angle is used as the control output, and we discuss which linear combinations are appropriate. Finally, simulation results, including a hardware-in-the-loop simulation, and experimental results with a refitted DongFeng E70 vehicle are given to illustrate the effectiveness of our method.
Allocation Choice in Charitable Giving: A Natural Field Experiment

This study examines whether charitable giving increases if donors have more choice about how their donations are used. In a ﬁeld experiment, employees of large Albanian companies were asked to donate to projects administered by Down Syndrome Albania. Treatments varied in whether participants were allowed (or forced) to choose between diﬀerent projects, and in the amount of information they were given. Giving donors a choice substantially increased giving; information did not. Our setting allows us to consider various mechanisms that could underlie this behavior. We conclude that allocation choice mainly increases donations because donors can target projects they like.
Derivation of Volume Averaged Perturbation Equations for Aeroacoustics in Porous Materials

The derivation of a set of volume averaged perturbation equations is presented. The new governing equations allow predicting the effect of open type porous materials on the aeroacoustics of side or trailing edges of airfoils. The numerical implementation is verified against a generic test case with homogeneous, isotropic porosity and a quiescent medium.
Facial Expression Recognition using Convolutional Neural Network and Haar Classifier

Human emotion recognition is essential for human-machine interaction and interpersonal communication. Utilizing facial expression analysis, this proposed work investigates Facial Expression Recognition (FERS) method using convolutional neural network and HAAR classifier. Face detection begins with the HAAR cascade model, lighting alteration to achieve face homogeneity, and morphological approaches to keep the key face component. The use of our cutting-edge deep convolutional network provides the gadget with capabilities comparable to those of a person. We have a tendency to appropriately project both a superficial and deep network for typical human face expressions. We have also adjusted several of the network's parameters and filters to boost accuracy 98.4%. Our proposed model is able to accurately categorise seven distinct emotional states.
High‐frequency radio properties of central AGNs in cluster environments

We present K-band (22 GHz) properties of 10 central AGNs in galaxy clusters of various dynamic states. The data were obtained using the Korean VLBI Network (KVN) with a goal to study how the AGN hosted by the central cluster galaxy interacts with the cluster core while undergoing feedback. In KVN single-dish observations, 9 out of 10 targets are detected. Using our K-band flux and archival low-frequency radio data, we evaluate spectral indices of the sample. We find a rough trend that central AGNs in the cluster with shorter cooling timescale show a more flat radio spectrum. This result is suggestive of young synchrotron age of the AGNs located in the cluster with a cool core. High resolution KVN VLBI follow up observations indicate some hints of the presence of parsec-scale jets only in the cool core cluster AGNs. To-gether with our finding from KVN single-dish observations, the parsec-scale jet morphology of the sample suggests that the AGNs in cool-core clusters are more recently (re)activated compared to their counterparts in non cool-core clusters. (© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
Nova secondary stars, mass-transfer rates and distances

We present near-infrared photometry for a number of old classical novae and related objects, and we use the data to estimate the mass-transfer rates in these systems. There is no correlation between mass-transfer rate and time since outburst, at least over the timebase (140 yr) for which we have data, contrary to what is expected in the hibernation model. Our data also point to potential recurrent novae amongst the classicals, namely EU Sct and V3645 Sgr
Building reliable distributed systems at a worldwide scale demands trade-offs between consistency and availability.

practice at the FouNdatIoN of Amazon's cloud computing are infrastructure services such as Amazon's s3 (simple storage service), simpleDB, and EC2 (Elastic Compute Cloud) that provide the resources for constructing Internet-scale computing platforms and a great variety of applications. The requirements placed on these infrastructure services are very strict; they need to score high marks in the areas of security, scalability, availability, performance, and cost-effectiveness, and they need to meet these requirements while serving millions of customers around the globe, continuously. Under the covers these services are massive distributed systems that operate on a worldwide scale. This scale creates additional challenges, because when a system processes trillions and trillions of requests, events that normally have a low probability of occurrence are now guaranteed to happen and must be accounted for upfront in the design and architecture of the system. Given the worldwide scope of these systems, we use replication techniques ubiquitously to guarantee consistent performance and high availability. Although replication brings us closer to our goals, it cannot achieve them in a perfectly transparent manner; under a number of conditions the customers of these services will be confronted with the consequences of using replication techniques inside the services. One of the ways in which this manifests itself is in the type of data consistency that is provided, particularly when many widespread distributed systems provide an eventual consistency model in the context of data rep-lication. When designing these large-scale systems at Amazon, we use a set of guiding principles and abstractions related to large-scale data replication and focus on the trade-offs between high availability and data consistency. Here, I present some of the relevant background that has informed our approach to delivering reliable distributed systems that must operate on a global scale. (An earlier version of this article appeared as a posting on the " All Things Distributed " Weblog and was greatly improved with the help of its readers.) historical Perspective In an ideal world there would be only one consistency model: when an update is made all observers would see that update. The first time this surfaced as difficult to achieve was in the database systems of the late 1970s. The best " period piece " on this topic is " Notes on Distributed Databases " by Bruce Lindsay et al. 5 It lays out the fundamental principles for database replication and discusses a number of techniques that deal …
An arbitrary-order exact diﬀerentiator with predeﬁned convergence time bound for signals with exponential growth bound (cid:63)

There is a growing interest in diﬀerentiation algorithms that converge in ﬁxed time with a predeﬁned Upper Bound on the Settling Time (UBST). However, existing diﬀerentiation algorithms are limited to signals having an n -th order Lipschitz derivative. Here, we introduce a general methodology based on time-varying gains to circumvent this limitation, allowing us to design n -th order diﬀerentiators with a predeﬁned UBST for the broader class of signals whose ( n +1)-th derivative is bounded by a function with bounded logarithmic derivative. Unlike existing methods whose time-varying gain tends to inﬁnity, our approach yields a time-varying gain that remains bounded at convergence time. We show how this last property maintains exact convergence using bounded gains when considering a compact set of initial conditions and improves the algorithm’s performance to measurement noise
Plant Pathology & Microbiology

Onion thrips ( Thrips tabaci L.) is one of the most important serious insect pests of onion ( Allium cepa L.) cultivation in Ethiopia. The present study was conducted to evaluate some botanical extracts viz. Artemisia annua, Azadirachta indica, Bidens pilosa, Chrysanthemum cinerariaefolium, Cymbopogon citratus, Nicotiana tabacum, Nicotiana spp. ,(local var.,), Parthenium hysterophorous, Phytolacca dodecandra, Securidaca longepedunculata and two indigenous isolates of entomopathogenic fungi (EPF) viz. Beauveria bassiana (PPRC-56) and Metarhizium anisopliae (PPRC-6) and soap detergent powder. They were examined for controlling onion thrips ( Thrips tabaci L.) under field condition in Guder, Toke Kutaye district of Ethiopia from mid October 2010 to early April 2011. Diazinon 60% E.C was applied at the recommended rate of 1.8 l/h and the plot left was examined as controls. After 1 st day application of the different agents, EPF and untreated control were not significantly different. However, the results on 3 rd , 5 th , and 7 th day after application of EPF treatments indicated that highly significant mortality. The rate of mortality in all of the treatments after 1 st day ranged from 0 to 74.75%. On the other hand, botanical extracts recorded at 3 rd day of application ranged from 26.09 to 74.75% within 3days of the higher mortality was recorded. On 5 th and 7 th day, except B. bassiana (PPRC-56), the mortality rate in all treatments became declined. The results indicated that insecticidal actions of all the tested agents exhibited to the ranging from 26.09 to 74.75% against onion thrips. Of the different agents, Nicotiana spp. , P. dodecandra, S. longepedunculata and N. tabacum exhibited high mortality rate (69.65, 68.99, 63.85 and 63.56%, respectively), whereas in C. cinerariaefolium, A. indica and P. hysterophorous showed intermediate mortality rate (60.79, 56.89 and 52.06 respectively) and the rest were the lowest mortality rate. High bulb yield reduction was recorded in untreated plots but low yield reduction was observed in treated plots and control check. The treatments also showed reducing onion thrips population and also gave significant control over the treated check. This study indicated that Nicotiana spp. , P. dodecandra, S. longepedunculata, N. tabacum and B. bassiana were significantly very effective against onion thrips under field condition at recommended rate and then confirmed the valuable rate of botanicals and EPF as components of Integrated Pest Management (IPM) practices in Ethiopia.
Influence of a Piriformospora indica plant-specific fungus and clove essence on broiler health and performance parameters during oxidative stress

The aim of this study was to evaluate the effects of dietary Piriformospora indica (PI) and clove essence (CE) and a combination of them (synbiotic) on performance and biochemical parameters after induction of stress using dexamethasone. The experiment was performed with 320 male, one-day-old chicks (Ross 308) using eight experimental groups and five replications. In each replication, eight chickens were fed a maize–soy-based diet. Experimental groups included group 1 (T1): control diet (based on maize and soybean without any feed additives); group 2 (T2): control diet with 0.2 cc dexamethasone injection; group 3 (T3): control diet with 11.6 cc CE; group 4 (T4): control diet with 10 mg PI; group 5 (T5): control diet with 11.6 cc of CE with 0.2 cc injection of dexamethasone; group 6 (T6): control diet with 10 mg PI and 0.2 cc of dexamethasone; group 7 (T7): control diet with synbiotic containing 10 mg of PI with 11.6 cc of CE; group 8 (T8): control diet with synbiotic containing 10 mg of PI and 11.6 cc of CE with 0.2 mg dexamethasone injection. PI and CE were poured into the drinking water during the rearing period. After 31, 33, 38, and 40 days, 2 mg/kg BW of dexamethasone was injected in the right breast muscle of experimental groups 2, 5, 6, and 8; after 35 and 42 days, samples were taken. The addition of CE, PI, and the synbiotic, caused an increase in body weight gain, feed intake, and reduced FCR compared to the control group in experimental groups 3, 4, and 7. The addition of 11.6 cc CE and 10 mg of PI caused an increase in body weight gain and feed intake and reduced FCR compared to the control group. Dexamethasone (0.2 mg) led to damage of the lymph organs, body weight loss, a reduction in humoral immunity, and side effects on performance parameters. Clove extract and the prebiotic reduced the adverse effects of dexamethasone.
Parasitic effect compensation of defected ground structure and its application to design of bandpass filter

Abstract This study demonstrates the parasitic effect observed in the passband of a bandpass filter (BPF) using a defected ground structure (DGS). This parasitic effect has been compensated by employing step discontinuity in the microstrip feed line. By implementing this technique, the performance of a pseudocombline BPF of 5 GHz operating frequency and a fractional bandwidth of around 15% together with a DGS cell is improved. The filter provides less than −1 dB insertion loss in the operating frequency and a stop band attenuation of about −20 dB on average. When the final BPF structure is simulated, fabricated, and measured, good agreement is observed between the simulated and measured results. The BPF proposed is applicable in the wireless LAN and RADAR systems.