Miracle-dz/UniFAR-FTUs huggingface dataset:
Malware Detection using Federated Learning based on HPC Events and Localized Image features

—Malware is a global threat and it has seen a tremendous increase as well as diversity which made threat detection and analysis a pivotal challenge to address. The increasing diversity in the malware syntax and behavior is some of the basic challenges to address for efﬁcient malware detection. Thus, an efﬁcient detection requires knowledge of different threats across the globe. However, it is impractical to have a signature-based detection or maintain a database with all malware signatures or syntax. To address these challenges, we propose a federated learning(FL)-based framework that aids to learn the threat features and characteristics irrespective of its origin and without breaching users’ data or privacy for an enhanced and robust security of billions of devices across the globe against malware. The federated learning (FL) model obtains the models from a selected set of devices to determine the model parameters required for efﬁcient detection of heterogeneous malware types. Further, one model that encompasses of knowledge from different models obtained from different devices is emerged, which will be further broadcasted to the individual device for efﬁcient malware detection, despite a given device has previously encountered or trained with characteristics of the malware. For the individual devices, we deploy a two-pronged malware detection technique. In ﬁrst prong, we extract the microarchitectural traces obtained while executing the application to detect traditional malware and in second prong, we introduce an automated localized feature extraction technique to detect obfuscated malware. With the proposed FL framework, we achieved 91% malware detection accuracy, irrespective of training data used at device-level. Furthermore, the proposed framework achieves up to 11% higher detection accuracy compared to the existing malware detection techniques.
Secure Sharing Of Data for Dynamic MultiOwner in Cloud Storage

Cloud computing is an emerging computing paradigm. It provides an economical and efficient solution for sharing group resource among cloud users. Due to frequent change of members in multi owner group, preserving user data and their identity privacy becomes a challenging issue in cloud. In this paper, we propose a secure multi-owner data sharing scheme, for dynamic groups in the cloud. By including group signature and stateless broadcast encryption techniques, any cloud user can anonymously share data with others. Meanwhile, the storage overhead, length of the signature and the running time of the signing algorithm are independent with the number of group members.
A minimal CRISPR-Cas3 system for genome engineering

CRISPR-Cas technologies have provided programmable gene editing tools that have revolutionized research. The leading CRISPR-Cas9 and Cas12a enzymes are ideal for programmed genetic manipulation, however, they are limited for genome-scale interventions. Here, we utilized a Cas3-based system featuring a processive nuclease, expressed endogenously or heterologously, for genome engineering purposes. Using an optimized and minimal CRISPR-Cas3 system (Type I-C) programmed with a single crRNA, large deletions ranging from 7 - 424 kb were generated in Pseudomonas aeruginosa with high efficiency and speed. By comparison, Cas9 yielded small deletions and point mutations. Cas3-generated deletion boundaries were variable in the absence of a homology-directed repair (HDR) template, and successfully and efficiently specified when present. The minimal Cas3 system is also portable; large deletions were induced with high efficiency in Pseudomonas syringae and Escherichia coli using an “all-in-one” vector. Notably, Cas3 generated bi-directional deletions originating from the programmed cut site, which was exploited to iteratively reduce a P. aeruginosa genome by 837 kb (13.5%) using 10 distinct crRNAs. We also demonstrate the utility of endogenous Cas3 systems (Type I-C and I-F) and develop an “anti-anti-CRISPR” strategy to circumvent endogenous CRISPR-Cas inhibitor proteins. CRISPR-Cas3 could facilitate rapid strain manipulation for synthetic biological and metabolic engineering purposes, genome minimization, and the analysis of large regions of unknown function.
Running head: ENGAGEMENT, PSYCHOLOGICAL CAPITAL AND PERFORMANCE 1 ANTECEDENTS OF ACADEMIC PERFORMANCE OF UNIVERSITY STUDENTS: Academic Engagement and Psychological Capital

Predicting academic performance is of key importance to the success, wellbeing and prosperity of students, their families, the economy, and the society at large. This study investigates the relationship between academic engagement, psychological capital (PsyCap) and academic performance. Data were collected in two different universities, one in Spain and another in Portugal. Students completed two self-report questionnaires regarding academic engagement and Psychological Capital. Academic performance was assessed through Grade Point Average, provided by the universities at the end of the exam period. The samples consisted of 389 and 243 undergraduate students, respectively. Results showed a positive relationship between academic engagement and PsyCap, on the one hand, and academic performance on the other, in both samples. Results also supported PsyCap as a full mediator in the relationship between academic engagement and academic performance. Exploration of alternative models yielded superior fit for the proposed model. Accordingly, academically engaged students were likely to experience higher levels of PsyCap, which in turn positively impacted their academic performance. The results point to the importance of considering psychological predictors, rather than the prevalent reliance on traditional predictors of academic performance.
Comparative Assessment of Various Nanoadditives on the Characteristic Diesel Engine Powered by Novel Tamarind Seed-Methyl Ester Blend

This chapter focuses on enhancing the performance, combustion, and emission characteristics of a novel biodiesel blend-a mix of diesel (80%) and tamarind seed oil (20%), represented as tamarind seed methyl ester (TSME) with alumina oxide (Al2O3), Carbon nano tubes (CNT), and Cerium oxide(CeO2) considered as potential nanoparticles. These were added to TSME at concentration of 50 ppm and were uniformly dispersed in the biodiesel blend with the help of a magnetic stirrer as well as an Ultrasonicator to attain stable suspension. The immersed nanoparticles in the tamarind seed oil blend exhibit multiple advantages such as an enhanced air-fuel mixing, better oxidation process, larger surface area to volume ratio results in higher brake thermal efficiency, as well as a significant reduction in smoke opacity, hydrocarbon, and carbon monoxide emissions.
OBesogenic Endocrine disrupting chemicals: LInking prenatal eXposure to the development of obesity later in life

Executive Summary: OBELIX (OBesogenic Endocrine disrupting chemicals (EDCs): LInking prenatal eXposure to the development of obesity later in life) is a multidisciplinary European research project that was performed from May 2009 to November 2013. The main goal of OBELIX was to investigate if early life exposure to EDCs plays a role in the development of obesity and related disorders later in life. OBELIX investigated six major classes of EDCs, including dioxins, polychlorinated biphenyls, brominated ame retardants, organochlorine pesticides, phthalates, and per uorinated alkyl acids (PFAAs). The main objectives and main conclusions of OBELIX were: 1. To assess early life (perinatal) exposure in humans to major classes of EDs in food, using mother-child cohorts from various European regions. OBELIX demonstrated that perinatal exposure to major classes of EDCs is widespread across Europe. New methods were developed for the sensitive analysis of phthalate metabolites and PFAAs in cord blood and breast milk. Novel postnatal exposure models to EDCs were developed, indicating divergent effects of preand postnatal exposure to EDCs.
Exact solution for the quantum Rabi model with the $\boldsymbol{\mathsf{A}}^{2}$ term

Quantum Rabi model (QRM) is widely used for the analysis of the radiation-matter interaction at the fundamental level in cavity quantum electrodynamics. Typically the QRM Hamiltonian includes only $\boldsymbol{\mathsf{p}} \cdot \boldsymbol{\mathsf{A}}$ term, however, the complete nonrelativistic Hamiltonian of quantum electrodynamics includes $\boldsymbol{\mathsf{A}}^{2}$ term as well. Here we find an exact solution and demonstrate with the help of the exact canonical transformations that the QRM Hamiltonian with the $\boldsymbol{\mathsf{A}}^{2}$ term (QRMA) is reduced to the standard QRM model Hamiltonian with the renormalized frequency and the coupling constant and the eigenstates are expressed through the squeezed states of the field. As a result, the $\boldsymbol{\mathsf{A}}^{2}$ term qualitatively changes the behavior of the QRM with purely electromagnetic interaction in the strong coupling regime: the value of the ground state energy of an atom inside the cavity is higher than in vacuum and the number of crossing of energy levels with different quantum numbers decreases.
Research Paper: Effect of Mindfulness-Based Therapy on Pain and Depression in Multiple Sclerosis Patients

* Corresponding Author: Azadeh Choobforoushzadeh, PhD. Address: Department of Psychology, Humanistic Sciences and Social Sciences, Ardakan University, Ardakan, Iran. Tel: +98 (35) 32240991 E-mail: azadechoobforoush@ardakan.ac. ir Objective: The frequency and impact of pain and depression have been long underestimated in Multiple Sclerosis (MS) patients. Therefore, systematic screening and management of pain and depression are recommended for these patients. The current study evaluated the effectiveness of Mindfulness-Based Therapy (MBT) in reducing pain and depression in patients with MS.
The phase space of last glacial inception for the Northern Hemisphere from coupled ice and climate modelling

Abstract. We present an ensemble of Last Glacial Inception (LGI) simulations for the Northern Hemisphere that largely captures inferred ice volume changes within proxy uncertainties. This ensemble was performed with LCice 1.0, a coupled ice sheet and climate model, varying parameters of both climate and ice sheet components, as well as the coupling between them. Certain characteristics of the spatio-temporal pattern of ice growth and subsequent retreat in both North America (NA) and Eurasia (EA) are sensitive to parameter changes, especially with respect to regional rates of ice growth and retreat. We find that the initial inception of ice over NA and EA is best characterized by the nucleation of ice at high latitude and high elevation sites. Subsequent spreading and merger along with large-scale conversion of snow fields dominate in different sectors. The latter plays an important role in the merging of eastern and western ice regions in NA. The inception peak ice volume in the ensemble occurs approximately at 111 ka and therefore lags the summer 60° N insolation minimum by more than 3 kyr. Ice volumes consistently peak earlier over EA than NA. The inception peak in North America is characterized by a merged Laurentide and Cordilleran ice sheet, with Davis Strait covered in ice in 80 % of simulations. Ice also bridges Greenland and Iceland in all runs by 114 ka and therefore blocks Denmark Strait. This latter feature would thereby divert the East Greenland Current and Denmark Strait overflow and thereby potentially have a significant impact on ocean circulation. The Eurasian ice sheet at its inception peak varies across ensemble runs between a continuous ice sheet to multiple smaller ice caps. In both continents, the colder high latitudes (Ellsmere and Svalbard) tend to grow ice through the entire simulation (to 102 ka), while lower latitudes lose ice after 110 ka. We find temperature decreases over the initial phases of the inception lead to the expansion of NA ice sheet area, and that subsequent precipitation increases contribute to its thickening. EA ice sheet area also expands with decreasing temperatures, but sea ice limits any increases in precipitation, leading to an earlier retreat away from the EA maximum ice sheet volume. We also examine the extent to which the capture of both LGI ice growth and retreat constrains the coupled ice/climate model sensitivity to changing atmospheric pCO2. For a standard transient climate response experiment (1 % increase in pCO2 until doubled), warming ranges between 0.6–2.0 °C for our initial set of 500 simulations without LGI constraint. The warming is reduced to 0.7–1.4 °C for the 55 member ensemble that captures both LGI ice growth and retreat. This therefore underlines the potential value of fully coupled ice/climate modelling of last glacial inception to constrain future climate change.
A NEW MARKER IN ACUTE ISCHEMIC STROKE PATIENTS: MONOCYTE / HDL RATIO

Objective: Stroke is a major cause of global morbidity and mortality. Ischemic stroke is usually marked by cell death associated with inflammation and oxidative stress, and the role of inflammation in neurological diseases has become increasingly obvious. In our study, we studied the monocyte / HDL ratio (MHR) which can support the theory of inflammation in stroke and can be used in clinical practice. MHR can be used a prognostic marker in stroke patients base on this theory. Method: Our study registered 91 acute ischemic stroke patients (47 females and 44 males) and 50 healthy controls. Results: MHR was elevated in the patient group and correlated with high-sensitivity C-reactive protein (hsCRP). MHR was higher in patients with high a National Institutes of Health Stroke Scale (NIHSS) than those with a low NIHSS (p=0.050) as well as in patients with a larger infarct area and in than those with a smaller area (p=0.050). The MHR correlated with both the clinical condition and infarct area in acute ischemic stroke patients, which underscores the value of MHR as a new marker. Conclusion: This cross-sectional study of 91 acute ischemic stroke patients indicates that inflammation markers and MHR are correlated with clinical status and even radiological parameters.
Conservation of the Biocatalytic Activity of Whole Yeast Cells by Supported Sol – Gel Entrapment for Efficient Acyloin Condensation

In this study, an efficient and generally applicable 2nd generation sol – gel entrapment method was developed for immobilization of yeast cells. Cells of Lodderomyces elongisporus, Candida norvegica, Debaryomyces fabryi, Pichia carsonii strains in admixture with hollow silica microspheres support were immobilized in sol – gel matrix obtained from polycondensation of tetraethoxysilane. As biocatalysts in the selective acyloin condensation of benzaldehyde catalyzed by pyruvate decarboxylase of the yeast, the novel immobilized whole-cell preparations were compared to other states of the cells such as freshly harvested wet cell paste, lyophilized cells and sol – gel entrapped preparations without hollow silica microspheres support. Reusability and storability studies designated this novel 2nd generation sol – gel method as a promising alternative for solid formulation of whole-cells bypassing expensive and difficult downstream steps while providing easy-to-handle and stable biocatalysts with long-term preservation of the biocatalytic activity.
EFFECT OF INJECTION WITH BEE VENOM EXTRACT ON PRODUCTIVE PERFORMANCE AND IMMUNE RESPONSE OF BROILER CHICKS

Ninety six unsexed one-day old; Ross 308 broiler chicks were randomly divided into 4 treatment groups. Each treatment had 3 replicates with 8 chicks each. The chicks of each replicate were allocated in a cage in a windowless house. The experimental period was divided into two feeding phases, starter (0-3 weeks of age) and grower (4-6 weeks of age). The basal experimental diets had 23.33 and 20.42% crude protein and 3115 and 3162 Kcal ME/kg diet for the starter and the grower diet, respectively. Chicks in first treatment were injected muscularly with saline solution weekly and served as a control. Whereas, in treatments 2, 3 and 4 chicks were injected muscularly with 0.5, 1.0 and 1.5 mg of honey bee venom (BV) extract weekly till 5 weeks of age, respectively. Injection with BV decreased significantly (P 0.05) in BW at 6 weeks of age, ADG at 4-6 and 0-6 weeks of age, FI during period from 0-3 weeks of age, feed conversion ratio, haemagglutinin antibody titers against (SRBC), aspartate amino transaminase (AST) and alanine amino transaminase (ALT), serum total protein, albumin (Alb.), globulin (Glb.), (Alb./Glb.), cholesterol and total lipids. These data indicate that injection of broiler with BV extract by these doses did not adversely affect the productive performance and physiological traits However,BV extract has the ability to enhance the immune responses of broiler chicks. But more research is needed in future to evaluate the best dose and different supplementation methods. Ali, A. H. H * and K. M. Mohanny** *Animal and poultry Production Department, Faculty of Agriculture, South Valley University, Qena, Egypt **Plant Protection Department, Faculty of Agriculture, South Valley University, Qena, Egypt
Kinesin-2 from C. reinhardtii Is an Atypically Fast and Auto-inhibited Motor that Is Activated by Heterotrimerization for Intraflagellar Transport

The construction and function of virtually all cilia require the universally conserved process of Intraflagellar Transport (IFT) [1, 2]. During the atypically fast IFT in the green alga C. reinhardtii, up to ten kinesin-2 motors ‘line up’ in a tight assembly on the trains [3], provoking the question of how these motors coordinate their action to ensure smooth and fast transport along the flagellum without standing in each other’s way. Here, we show that the heterodimeric FLA8/10 kinesin-2 alone is responsible for the atypically fast IFT in C. reinhardtii. Notably, in single-molecule studies, FLA8/10 moved at speeds matching those of in vivo IFT [4], but additionally displayed a slow velocity distribution, indicative of auto-inhibition. Addition of the KAP subunit to generate the heterotrimeric FLA8/10/KAP relieved this inhibition, thus providing a mechanistic rationale for heterotrimerization with the KAP subunit in fully activating FLA8/10 for IFT in vivo. Finally, we link fast FLA8/10 and slow KLP11/20 kinesin-2 from C. reinhardtii and C. elegans through a DNA tether to understand the molecular underpinnings of motor coordination during IFT in vivo. For motor pairs from both species, the co-transport velocities very nearly matched the single-molecule velocities, and the complexes both spent roughly 80% of the time with only one of the two motors attached to the microtubule. Thus, irrespective of phylogeny and kinetic properties, kinesin-2 motors prefer to work alone without sacrificing efficiency. Our findings thus offer a simple mechanism for how efficient IFT is achieved across diverse organisms despite being carried out by motors with different properties.
Research on Home-Auxiliary Robot System Based on Characteristics of Human Physiological and Motion Signals

A home-auxiliary robot system based on characteristics of the electrooculogram (EOG) and tongue signal is developed in the current study, which can provide daily life assistance for people with physical mobility disabilities. It relies on five simple actions (blinking twice in a row, tongue extension, upward tongue rolling, and left and right eye movements) of the human head itself to complete the motions (moving up/down/left/right and double-click) of a mouse in the system screen. In this paper, the brain network and BP neural network algorithms are used to identify these five types of actions. The result shows that, for all subjects, their average recognition rates of eye blinks and tongue movements (tongue extension and upward tongue rolling) were 90.17%, 88.00%, and 89.83%, respectively, and after training, the subjects can complete the five types of movements in sequence within 12 seconds. It means that people with physical disabilities can use the system to quickly and accurately complete life self-help, which brings great convenience to their lives.
The Effects of Malaria Control Interventions on Out-patient and In-patient Malaria Cases in the Northern Region of Ghana

In this study, change detection in Out-patient and In-patient malaria cases in the Northern Region of Ghana was examined using time series intervention analysis. Data on monthly Out-patient and In-patient malaria cases obtained from the Northern Regional Health Directorate were modelled using Seasonal Autoregressive Integrated Moving Average with an Independent variable (SARIMAX) and Autoregressive Integrated Moving Average with an Independent variable (ARIMAX) models. The results revealed that SARIMAX (1, 1, 1)(1, 1, 1)12 was the best model for predicting Out-patient malaria cases while SARIMAX (1, 1, 1)(2, 1, 1)12 emerged as the best model for predicting the In-patient cases in the region. Diagnostic checks of the two models with the Ljung-Box test and Autoregressive Conditional Heteroscedasticity Lagrange Multiplier (ARCH-LM) test revealed that both models were free from higher-order serial correlation and conditional heteroscedasticity respectively. A chi-square goodness-offit test also revealed that there was no significant difference between the predicted values from the models and the observed values for the year 2018. The study further revealed that the coefficients of the Original Research Article Dokurugu et al.; AJPAS, 6(3): 61-73, 2020; Article no.AJPAS. 54310 62 intervention variable for the Out-patient and In-patient cases were both negative, which suggest that the intervention policy the government of Ghana implemented brought about a decline in the number of Outpatient and In-patient cases in the region.