Miracle-dz/UniFAR-FTUs huggingface dataset:
Lightweight Deep Learning for Botnet DDoS Detection on IoT Access Networks

With the proliferation of the Internet of Things (IoT), computer networks have rapidly expanded in size. While Internet of Things Devices (IoTDs) benefit many aspects of life, these devices also introduce security risks in the form of vulnerabilities which give hackers billions of promising new targets. For example, botnets have exploited the security flaws common with IoTDs to gain unauthorized control of hundreds of thousands of hosts, which they then utilize to carry out massively disruptive distributed denial of service (DDoS) attacks. Traditional DDoS defense mechanisms rely on detecting attacks at their target and deploying mitigation strategies toward the attacker but differentiating between botnet attack traffic from normal traffic is extremely difficult, rendering mitigation strategies ineffective. An expanding body of work seeks to sidestep this difficulty by using sophisticated machine learning algorithms to detect botnet-based attacks at their source; however, many of these algorithms are computationally demanding and require specialized hardware, which is expensive, rendering them impractical. This thesis proposes a botnet detection mechanism that operates at the IoT access network. It utilizes a novel method of classifying visual representations of network activity using lightweight deep learning models. This approach is shown to be highly effective, with an average accuracy of 99.8% on a sparce dataset, perfect accuracy on an expanded dataset, and runtime latency ranging from 334 ms to 2 seconds on a Raspberry Pi.
The Impact of Molecular Representation Strategy on Academic Achievement and Self-Efficacy among the 2nd Female Graders Students in Chemistry

concepts in chemistry according to Ospel theory of secondary concepts are concepts that do not have concrete examples such as atoms and molecules and the number of moles and others, and this is because students lack the tools to transport them to imagine the world of atoms, molecules and others, or they do not know how to employ them In understanding the nature of the phenomenon, if they have the right tools to study the phenomenon and are able to build relationships between these tools, the natural result is that their understanding corresponds to the scientific interpretation of the phenomenon, and if they do not have the ability to link between the tools and use them The result is that they have the wrong understanding. For example, many students believe that atoms are soft in the liquid state and solid in the solid state. They know that matter is made up of molecules and atoms, but they have failed to construct a scientifically acceptable understanding using their previous information If they have inappropriate tools to study the phenomenon, they may try to use these tools to synthesize their understanding of the phenomenon and as inappropriate tools, so students fall into a more misunderstanding of the scientific phenomenon, and the view that new knowledge is formed using the scientific method and then added To know the range of experiences in the mind is an inaccurate view because the student's mind is not an open file for the teacher to enter everything he wants and therefore must be cautious when providing these tools for students, and the developmental stage according to Piaget's classification of cognitive development, which corresponds to the strategy of molecular representation is the formal procedural stage Students develop the ability to think abstractly, which is consistent with the abstract concepts contained in the science of chemistry related to molecules, atoms, and others, but the thinking abilities of students with abstract concepts at the middle school age can not be easily absorbed and understood However, there is a learning environment that brings these abstract concepts closer to their minds by using various teaching methods such as stereotypes, animations and computer programs (Lee, et.al, 1993). The strategy of molecular representation aims to 1. Developing the ability to imagine and form mental images of chemical compounds and reactions. This strategy works with the visual capabilities that it provides to expand the imaginary perceptions of students and build a clear mental image of chemical compounds and International Journal of Innovation, Creativity and Change. www.ijicc. net Volume 13, Issue 5, 202
Immunoassay and Genotyping of Hepatitis C virus in Ramadi City

The study aimed to detect the prevalence of hepatitis C virus in two groups of population, hemodialysis patients and blood donors by different diagnostic methods and also to identify the dominant genotype of this virus in our area. All the samples that collected from blood donors and hemodialysis patients were tested by Rapid test and ELISA technique to detect the positive cases of hepatitis C virus. Only the positive samples were tested by real time PCR for genotyping. 75 hemodialysis patients 27 were infected with HCV and only 13 were blood donors from total number 4560. The total number of positive HCV were 40 samples, all the 40 cases were positive by Rapid and ELISA tests while only 38 were positive by real time PCR. The genotypes of this virus within our cases include genotype 4 (26) and genotype 1a (12). This study concludes that rapid test, ELISA and real time PCR are highly sensitive in detection of this virus. The dominant genotype in our area is genotype 4.
Dephosphorization in Double Slag Converter Steelmaking Process at Different Temperatures by Industrial Experiments

In the present work, the effect of dephosphorization endpoint temperature on the dephosphorization of hot metal was studied for the double slag converter steelmaking process under the conditions of low temperature and low basicity by the industrial experiments. In the temperature range of 1350–1450 ◦C, with an increasing dephosphorization endpoint temperature, the dephosphorization ratio and phosphorus distribution ratio first increase and then decrease. The phosphorus content in hot metal first decreases and then increases at the end of dephosphorization. At the dephosphorization temperature range of 1385–1410 ◦C, the dephosphorization ratio is higher than 55%, the P2O5 content in the dephosphorization slag is 3.93–4.17%, the logLP value is 1.76–2.09, the value of PP−C CO of the selective oxidation reaction of carbon and phosphorus is 53–80 Pa, and the aFeO value is 0.284–0.312. The path of phosphorus in hot metal entering the P-rich phase of dephosphorization slag can be reasonably inferred as: hot metal→ Fe-rich phase→ P-rich phase. Under the present industrial experimental conditions, the dephosphorization and rephosphorization reactions are in dynamic equilibrium at 1413 ◦C. Considering the experimental results and thermodynamic calculation results of industrial experiments by the double slag dephosphorization process, the optimal temperature range for intermediate deslagging is about 1400–1420 ◦C.
A Guide to Physical Activity at Home During the Coronavirus Disease 2019 Pandemic

Background and Aim: Coronavirus Disease 2019 (COVID-19) pandemic has reduced the physical activity of people worldwide. The purpose of this study is to provide a practical guide for performing physical activities at home during the COVID-19 pandemic. Methods & Materials: The study was conducted by using library method and reviewing the books and articles on home-based physical activity, to provide a scientific basis for performing physical activity at home. In this regard, various physical activities with and without equipment at homes were examined. Ethical Considerations: This article is a review article with no human or animal sample.
Postpartum cerebral venous thromboembolism in an asymptomatic COVID-19 patient

Introduction: Cerebral venous thromboembolism is a serious condition whose diagnosis and management in the emergency department is vital. Although cerebral venous thromboembolism (CVT) is not as common as lower extremities venous thromboembolism (VTE) or pulmonary embolism (PE), several cases were reported in literature that linked it to both, COVID-19 and puerperium, as they are at the origin of hypercoagulable state. Case Report: We report this case of a postpartum patient who presented in status epilepticus to the emergency department. She was diagnosed with CVT causing left temporal lobe infarction with hemorrhagic changes. Along this condition, she had a positive COVID-19 test. Anticoagulation was started and patient was discharged after 2 weeks having mild cognitive impairment as a sequela. Conclusion: This case demonstrates the importance of considering CVT as one of the large differentials in a patient having neurological symptoms, and, highlights the need of starting antithrombotic therapy as prophylaxis in Mayssaloun Ibrahim Khairallah1,2, Eva Koulaymi1,2, Sylvan El-Hanna3,4, Zeinab Haroun1,2, Bassam Mansour5, Jihad Al Hassan1,2 Affiliations: 1Department of Obstetrics and Gynecology, Lebanese University, Faculty of Medical Sciences, Mount Lebanon, Lebanon; 2Department of Obstetrics and Gynecology, AL Zahraa Hospital University Medical Center, Lebanon; 3Department of Emergency Medicine, AL Zahraa Hospital University Medical Center, Lebanon; 4Department of Emergency Medicine, Lebanese University, Faculty of Medical Sciences, Mount Lebanon, Lebanon; 5Department of Internal Medicine, AL Zahraa Hospital University Medical Center, Lebanon. Corresponding Author: Mayssaloun Ibrahim Khairallah, Beirut, Lebanon; Email: mayssalounkh@gmail.com Received: 03 September 2020 Accepted: 03 May 2021 Published: 14 June 2021 pregnant/puerperium women to avoid thromboembolic events in COVID-19 era.
VLSI Implementation in Biomedical Applications: A Review

Recent disastrous incidents in health care system have disturbed the continuous process of care, leaving the health care sector in a ‘state of emergency’. The rise of trust flaw between patients and health bionetwork might hamper the aspired progress of the Indian health care sector and health of the nation. With these rising costs and aging population, public leading a miserable life every day. Government need to take initiative of reexamining the health care system in some of the key features like assurance handling, compliance to treatment and care protocols, guidelines, cost control, disbursement models, integrity and technology enactment. In this situation, Wi-Fi transmission can be accessible with new traditions of health care delivery that lessens cost, diminishes victim’s distress and man power. This wireless structure can be constructed using very large-scale integration (VLSI) concept which is appropriate for biogenic applications. VLSI design in biomedicine produces reduction in size of the chips, range, and speed enhancement. In this analysis, various proposals are scrutinized for VLSI employment of neural networks which is stated as CMOS fabrication technique, architecture of medical implant communication system (MICS) receiver for critical medical operations, field programmable gate array (FPGA) execution of semantic networks, neuro-fuzzy system, neuromorphic computing approach, neural net performance in analog hardware and digital network. Furthermore, the merits and demerits of these classifications and methods are covered here.
Off-line Handwritten Arabic Text Recognition using Convolutional DL Networks

: In recent decades many researchers worked on handwritten document analysis field and more specifically for Arabic Handwriting Script (AHS). Deep learning (DL) has rev-olutionized computer vision with several good examples, particularly the studies of the convolutional neural network on image classification. In this paper we investigate the benefit of deep convolution networks in textual image classification. Convolu-tional Deep Belief Networks (CDBN) is applied to learn automatically the finest discriminative features from textual image data consisting of AHS. This architecture is able to lay hold of the advantages of Deep Belief Network and Convolutional Neural Network. We subjoin Regularization methods to our CDBN model so that we can address the issue of over-fitting. We evaluated our proposed model on low and high-level dimension in Arabic textual (character /word) images using IFN/ENIT datasets with data augmentation. Experimental results show that our proposed CDBN architectures achieve better performance.
EFFECTS OF MELT FLOW-FIBER ORIENTATION COUPLING ON DEPOSITION IN LARGE AREA POLYMER COMPOSITE ADDITIVE MANUFACTURING

Discontinuous fiber reinforced polymer composites continue to see increasing application in large area polymer deposition additive manufacturing. Rheological behavior of molten polymer feedstock is critical in the manufacturing process where the shear thinning response of a fiberfilled polymer is significantly different from its unfilled polymer alternative. Additionally, extrudate swell directly affects the resolution of a printed part in polymer extrusion-based additive manufacturing where the presence of fibers and their associated alignment greatly affect the properties of the polymer composite melt flow. This study quantifies the effect of the fiber orientation on polymer melt flow and die swell with a custom finite element simulation. Our approach solves the fully coupled melt flow and fiber orientation tensor equations, including computation of the melt free surface in the die swell region. Computed results indicate that the magnitude of the velocity field along the direction of the flow is increased due to the presence of suspended fibers and the extrudate die swell for a fiber-filled polymer composite is much less than that of a neat polymer material. Accordingly, fiber-orientation-induced variations on flow rheology requires that the material feeding rate and printing path need to be adjusted when using filled polymers over their neat alternatives, especially for large area additive manufacturing applications.
Breaking WPA-TKIP Using Side-Channel Attacks

We show through wardriving experiments that WPA-TKIP is still widely deployed in a large percentage of today’s wireless networks. Specifically, we measure the usage of cipher suites in protected Wi-Fi networks in several distinct geographic areas and find that 44.81% of protected networks still support the old WPA-TKIP cipher. Motivated by these results, we systematically analyze the security of WPA-TKIP implementations. We thoroughly investigate the security of devices that deploy WPA-TKIP by inspecting all the components of their Wi-Fi stack, thereby discovering new side-channel vulnerabilities. Particularly, we expose vulnerabilities in the power management and fragmentation mechanism, leverage hardware decryption modules, and present two fatal vulnerabilities due to incorrect handling of hardware-decrypted frames. We validate our findings on major operating systems such as Linux and OpenBSD. Furthermore, we investigate specific implementations of Mediatek and Broadcom devices and find them to be vulnerable to our side-channel attacks as well. Our novel side-channel attacks bypass existing countermeasures and recover the Michael message authentication key in as little as 1 to 4 minutes. Using this key, an adversary can then decrypt and inject network traffic. In contrast, previous attacks needed 7 to 8 minutes. These results stress the urgent need to stop using WPA-TKIP.
Mineral composition of raw and marinated-cooked arms from Pacific giant squid (Dosidicus gigas).

*Corresponding author: Sancho Bañón, Department of Food Science and Technology and Nutrition, Faculty of Veterinary Science, University of Murcia, Murcia, 30100, Spain Received: 27 June 2020; Accepted: 11 December 2020 R E S E A R C H A R T I C L E
Polyoxometalate supported transition metal complexes: synthesis, crystal structures, and supramolecular chemistry

A new series of polyoxometalate (POM) supported transition metal complexes (TMCs), namely, [2-ampH] 4 [{Zn-(H 2 O) 5 }Mo 7 O 24 ]·9H 2 O (1), [3-ampH] 4 [{Zn(3-ampy)(H 2 O) 4 }Mo 7 O 24 ]·4H 2 O (2), [3-ampH] 4 [{Co(3-ampy)(H 2 O) 4 }Mo 7 O 24 ]· 4H 2 O (3), [2,3-diampH] 4 [Co(H 2 O) 6 ][Mo 7 O 24 ]·6H 2 O (4), and [2,3-diampH] 2 [{Zn(2,3-diampH) 2 (H 2 O) 2 }Mo 8 O 27 ]·2H 2 O (5) have been synthesized (where amp = aminopyridine and diamp = diaminopyridine) from the corresponding aqueous sodium molybdate solution, by varying the transition metal salts and aminopyridine derivatives in an acidic medium. In compounds 1—4, the POM cluster is [Mo 7 O 24 ] 6 , whereas in compound 5, it is [Mo 8 O 27 ] 6- , In compound 1, the heptamolybdate moiety is functionalizcd by the zinc-aqua complex [Zn(H 2 O) 5 ] 2+ and the residual negative charges have been compensated by the protonated 2-amino-pyridinc molecules acting as cations. In the crystal structure of compound 1, a dimer of 2-aminopyridine has been identified as a supramolecular synthon. Compounds 2 and 3 are isomorphous, in which the POM cluster anion supports the zinc and cobalt coordination complexes, {Zn(3-ampy)(H 2 O) 4 } 2+ and {Co(3-ampy)(H 2 O) 4 } 2+ , respectively. The overall negative charges of the resulting POM supported transition metal complexes in compounds 2 and 3 have been counter-balanced by the protonated 3-aminopyridine molecules. In compound 4, the anionic cluster unit [Mo 7 O 24 ] 6 exists as a discrete moiety, where the species {Co(H 2 O) 4 } 2+ and protonated 2,3-diaminopyridine act as mere counter cations. Compound 5 is a two-dimensional (2-D) coordination polymer which is constructed by [Mo 8 O 27 ] 6- anion and [Zn(2,3-diampH) 2 (H 2 O) 4 ] 4+ cation moieties. In the crystal structure of 5, interestingly, one-dimensional chain is formed by a condensation reaction among [MO 8 O 27 ] 6 anionic cluster units through the formation of Mo-O b -Mo (O b is bridging oxygen) bonds, and these chains, in turn, are laterally interlinked by [Mo 8 O 27 ] supported coordination complexes [{Zn(2,3-diampH) 2 (H 3 O) 2 }Mo 8 O 27 ] 2- (as linker) resulting in the formation of a 2-D porous network having well-defined cavities. All compounds 1—5, that are isolated at an ambient temperature, are characterized by single crystal X-ray crystallography and are additionally characterized by elemental analyses, infrared, thermogravimetric analysis/mass spectral studies. The crystal structures analyses of compounds 2, 3, and 5 show the existence of supramolecular tectons.
Pigmented Basal Cell Carcinoma

Basal cell carcinoma is the most common type of skin cancer but its pigmented variety is only about 6% of all Basal cell carcinomas. Pigmented basal cell carcinoma and malignant melanoma, both are associated with UV radiation and have similar clinical features, so histopathology and immunohistochemistry are the important tools to establish a correct diagnosis. This is a case report of a middle aged, dark skinned rikshaw-puller with prolonged exposure to sun who presented with an ulcero-proliferative growth below the right eye with brown-black asymmetric, elevated, rolled-out borders measuring more than 1.5 cm in dimension. Radiographs did not reveal any bony changes. On basis of the clinical findings, a clinical provisional diagnosis of malignant melanoma was made but histopathology and negative HMB-45 immunohistochemistry gave the final diagnosis of pigmented basal cell carcinoma.
Implementation of a 2D Musculoskeletal Model for the Analysis of Human Movement Using Fully Cartesian Coordinates

Biomechanics is a valuable tool to describe and evaluate the motion of the human body, providing insight that can have applications in the fields of medicine, physical rehabilitation or sports. In this work, a 2D multibody system analysis program was developed and implemented in Python, making use of a fully Cartesian coordinates formulation, which allows for kinematic and dynamic analysis of this type of system, in general, and of the human body in particular. To describe the characteristics of the human body, an extended anthropometric database was constructed, including three different age groups for both genders. Regarding the modelling of the musculotendon unit, a Hill-type muscle model was used and integrated in the previous formulation. In order to evaluate the validity of the multibody formulation, the moments of force at the lower limb joints were computed for the human gait, acquired experimentally. A series of scenarios were also designed to test the reliability of the muscle model. Moreover, the muscle activations and forces were estimated for the muscles spanning the ankle joint, during a gait cycle, using two distinct optimization criteria: the minimization of the muscle activations and the min/max. This study concluded that fully Cartesian coordinates are a reliable formulation for the computation of the joint moments. Furthermore, the min/max criterion proved to be the best choice for the muscle indeterminacy problem. The results demonstrate the importance of the scaling of the muscle dynamic parameters, to be implemented in this type of analysis.
The Role of Contrast Enhanced Digital Mammography in Evaluation of Breast Masses

Background: A thorough clinical breast examination, imaging, and tissue sampling are needed for a definitive diagnosis of breast diseases. Contrast-enhanced digital mammography (CEDM) is the second type of advanced technology stemming from the digital platform (the first being tomosynthesis) that proved to be promising in this field. Objectives: The aim of this study was to evaluate the role of contrast enhanced digital mammography in diagnosis of breast masses. Patients and Methods: The study included 30 participants who visited the hospital for assessing their complaints of breast masses during the period from May 2019 to May 2020 after taking their consent. Results: The contrast enhanced digital mammography (CEDM) proved that 17 patients (56.7%) proved with malignant masses, 10 (33.3%) benign and 3 (10%) normal that was confirmed by final diagnosis of these cases. The sensitivity and specificity of the CEDM (100%, 92.86%) respectively, that expresses high levels of both parameters. Conclusion: CEDM has higher diagnostic value that can enhance the process of early cancer diagnosis, postoperative follow up, and treatment plans.