Miracle-dz/UniFAR-FTUs huggingface dataset:
P‐DNN: Parallel DNN based IDS framework for the detection of IoT vulnerabilities

The rapid growth of the Internet of Things (IoT) in our daily life has recently received attention from hackers in releasing novel attacks. This is because the existing traditional Intrusion Detection System (IDS) uses an alert‐based approach that cannot detect new emerging attacks, making it unfeasible for devices with limited resources. The study presents the deployment of a Parallel Deep Neural Network (P‐DNN) IDS framework to improve the detection rate and resource constraint issues. To validate the framework for detecting the latest IoT vulnerabilities, we generated a proprietary dataset created under the IoT environment. The experimental results reveal that the P‐DNN IDS framework proposed in this study outperformed the K‐nearest Neighbour (KNN), Support Vector Machine (SVM), and Naive Bayes algorithms with respect to performance metrics. In addition, a comparative analysis of the P‐DNN framework with Snort and Suricata IDS results demonstrates a significant reduction in CPU consumption, memory utilization, and processing time. The results of this investigation indicate that the deployment of the P‐DNN framework has the capability to detect vulnerabilities in resource‐constraint IoT environments effectively.
The Influence of the Axial Anisotropy of Scattering Biological Media on the Accuracy of Determination the Optical Coefficients by Monte-Carlo Method

The influence of the axial anisotropy of the scattering by biological media on the accuracy of determination the оptical coefficients of diffuse reflection and total transmission was considered in this work. The propagation of optical radiation in the turbid media by direct Monte Carlo for samples with different thickness in vitro at the wavelength of laser radiation 632.6 nm was simulated. Non-axial symmetry of phase function of scattering for thickest samples was confirmed by the results of the diametrically sections of photometric images analysis, which were obtained by the method of ellipsoidal reflectors. The asymmetry of the axial anisotropy of scattering, which was characterized experimentally by determined factor of the thickest biological tissue anisotropy on sections and direct Monte Carlo for sample of porcine muscle thickness of 1.4 ± 0.02 mm. It has showed the possibility of displacement of diffuse reflectance at 23 % and the ratio of its total transmission by 20 %, and of breast muscle of chicken thickness 0.76 ± 0.02 mm – quadruple and double displacement, respectively. The results emphasize the need for developing the method of spatial photometry of biological media that implements the research of light fluxes within the solid angle 4π.
Catalytic applications of phosphorene: Computational design and experimental performance assessment

Abstract In the current era, catalysts have gained intensive research interest in development of sustainable energy as well as environmental remediation. Recent exploration of novel two-dimensional (2D) materials can offer unparalleled superiorities in catalysis due to their novel geometric structure and electronic properties (e.g. intrinsically anisotropic electronic, thermoelectric, mechanical, and transport properties). Phosphorene, composed of a single atomic layer of black phosphorous, has emerged as a potential single elemental 2D material that bridges the gap between 2D metal chalcogenides and graphene in terms of physical properties. The puckered structure of phosphorene imparts great potential for their catalytic applications such as the generation and storage of clean energy (e.g. photovoltaic cells, supercapacitors, lithium-ion batteries, solar water splitting, and hydrogen/oxygen evolution reactions (HER/OER). In this review, an emphasis is placed on describing phosphorene in terms of its structural features (e.g. presence of defects) and catalytic properties along with synthesis strategies (e.g. liquid phase exfoliation, mechanical exfoliation, plasma exfoliation, and electrochemical exfoliation). This review is thus expected to provide comprehensive information on the current status of phosphorene as a catalyst (e.g. photocatalyst, electrocatalyst, and thermocatalyst) based on a combination of computational and experimental results. Graphical abstract
EGFR and PCNA expressions in different histologic grades of meningioma

Background Meningiomas are considered the second most common primary intracranial tumors. Biological behavior of meningiomas varies significantly. Not only histopathological features determine the behavior but also the surgical grade of resection which determines the disease-free survival in patients with histologically similar types. The aim of this study was to investigate the epidermal growth factor receptor (EGFR) and proliferating cell nuclear antigen (PCNA) expression in different histopathologic grades of meningiomas. Patients and methods This study included 51 cases of meningiomas classified as follows: 30 cases benign, 11 atypical, and 10 cases of anaplastic meningiomas. Immunohistochemical staining of all cases using EGFR and PCNA antibodies was done. Results There were significant decreases in the percentage score, intensity score, and immunoreactivity scores of EGFR expression from benign through atypical to anaplastic meningiomas. There was a significant increase in the mean percentage of the PCNA proliferating index with increasing grades of meningiomas from benign through atypical to anaplastic meningiomas. Conclusion EGFR expression is decreased with increasing grades of meningiomas so it can be used as a prognostic marker or used in clinical treatment. Also, detection of PCNA proliferating index is an essential diagnostic tool for the diagnosis of high-grade meningiomas and also can be used as a predicting marker for bad prognosis.
CHALLENGES IN THE IMPLEMENTATION OF HALAL CERTIFICATION AMONG SMALL MEDIUM ENTERPRISES (SMES)

This research aims to have a better understanding of the Halal certification challenges amongst the Small Medium Entrepreneurs (SMEs) in Malaysia. Since Halal industry is growing globally, the benefits of embarking in Halal certification will strengthen the economic standing among entrepreneurs. A study amongst SMEs was conducted to get deeper understanding on the challenges in approaching Halal. Local SMEs in Malaysia will be identified as participants for this study. The focus of our research is in the food industry. The area of research is in the Northern area of Malaysia. This study is expected to provide a good groundwork to further enhancement of Halal penetration among SMEs. The findings will show the challenges that the SMEs encounter during their pursuit of Halal certification. By identifying the challenges faced, this study can contribute ideas to certain parties to facilitate the acquisition of Halal certificates among SMEs. This study will benefit both future researchers and practitioners alike.
A global strategy based on deep learning for time‐dependent optimal reliability design

Time‐dependent reliability‐based design optimization (RBDO) is a computationally tough problem that needs to be addressed urgently. The difficulty of solving the time‐dependent RBDO mainly comes from the time‐dependent reliability analysis involved in probabilistic constraints, which itself is one of the thorny problems in the reliability community and makes the computational cost become much more onerous. In this paper, a deep‐learning‐assisted approach is proposed to solve the time‐dependent RBDO. The proposed approach leverages the classification capability of the deep learning, and constructs the alternative model for the actual probabilistic constraint function in the so‐called augmented reliability space, so as to make the trained alternative model accurate wherever it will be invoked. Moreover, a sequential sampling technique utilizing the classification probability provided by the deep learning is proposed to further reduce the computational cost. Then, the time‐dependent reliability analysis involved in the time‐dependent RBDO is conducted by the cheaper alternative model instead of the original computing‐intensive probabilistic constraint function, which evidently reduces the computational burden. The presented examples showcase the performance of the proposed approach. Especially, for the complicated engineering application, the proposed approach saves about 10% of the computational cost compared with the existing methods.
Airborne measurements of UV spectral actinic radiation with CCD spectroradiometers - applications aboard Zeppelin NT and the research aircraft HALO

Airborne measurements of spectral actinic flux densities (280-650 nm) were performed using two spectroradiometers each covering a 2 π field-of-view. A method was developed to compensate for the non-ideal combined angular response of the optical receivers, based on spectral radiance distributions from radiative t ransfer calculations. Correction factors on the order of 1- 3 % were derived dependent on atmospheric conditions. First results of aircraft campaigns with a Zeppelin and the resea rch aircraft HALO are presented.
Extratropical Influence on 200-hPa Easterly Acceleration over the Western Indian Ocean Preceding Madden–Julian Oscillation Convective Onset

The onset of Madden–Julian oscillation (MJO) deep convection often occurs over the western Indian Ocean and has upper-tropospheric circulation precursors that consist of eastward-circumnavigating tropical easterlies and subtropical cyclonic Rossby gyres near eastern Africa. Moreover, the evolution of the large-scale circulation and its ability to reduce subsidence may be necessary for the initial development of organized deep convection. To better understand the evolution of the circulation precursors and their interaction with convective onset, this paper analyzes the upper-tropospheric zonal momentum budget using a regional index based on the temporal progression of the meridional structure of intraseasonal outgoing longwave radiation anomalies over eastern Africa and the western Indian Ocean. The circumnavigating intraseasonal easterly acceleration produces upper-level divergence when it reaches the western extent of a region of intraseasonal westerlies and may provide a forcing for the in-phase midtropospheric upward vertical motion. For about three-quarters of the identified cases, the easterly acceleration over the western Indian Ocean is a response to the zonal pressure gradient over the region. In the composite, the negative pressure gradient force may be initially induced by the injection of negative geopotential height anomalies from the extratropics of both hemispheres to the tropics over eastern Africa, though tropically circumnavigating and local signals may also contribute to the easterly acceleration, especially in the days following convective onset.
Teachers’ Experiences of Keeping Special Education Students Informed of the COVID-19 Pandemic: A Qualitative Study

In times of such public health crisis as the COVID-19, staying well-informed can not only help people get prepared and make wise decisions, but also relieve anxiety. Students with disabilities, however, face great difficulty in keeping up-to-date on the pandemic. Using a qualitative research method, this study explored the experiences and perceived difficulties of special education teachers in trying to keep their students informed amid the COVID-19 pandemic. Semistructured focus group interviews were conducted with a total of 24 teachers from seven special education schools in China. The results showed that teachers adopted various measures to improve students’ information access, such as holding weekly class meetings, making use of posters and LED displays, working with families and collaborating with local health institutions. Despite these efforts, teachers reported facing multiple challenges and much remains to be desired. This research highlights the need for a holistic approach to providing information for students with disabilities, one that is tailored to their special needs and that involves other players in addition to teachers.
Optimization of multi‐response biodiesel fueled diesel engine parameters using Taguchi grey relational analysis and analytical hierarchy process

Compression ignition engines are currently optimized to run on petrodiesel fuel, but due to its increasing demand and depletion of fossil fuel reserves, alternative fuels must be utilized. In this article, an attempt was made to optimize the operating parameters of an unmodified compression ignition engine fueled with linseed methyl ester biodiesel. The input parameters were compression ratio, load, and fuel blend, while output responses included brake‐specific fuel consumption (BSFC), brake thermal efficiency (BTE), and exhaust gas temperature (EGT), peak cylinder pressure (PCP), the rate of pressure rise (RPR), and net heat release rate (NHR), hydrocarbon (HC), carbon monoxide (CO), NOx, and Smoke. The aim was to determine the optimal combination of input parameters for minimal emissions and better performance and combustion parameters, with a minimum number of experiments. The study used Taguchi's L9 orthogonal array with a grey relational analysis approach (GRA) to obtain the optimum combination of input parameters. The study found that fuel blend B10, CR 18, and load 100% were the optimal input parameter combinations using the TGRA method. The S/N ratio analysis of grey relational grade (GRG) showed the optimal input factor levels to be fuel B10, CR 16, and load 100%, which was confirmed by the AHP method. The analysis of variance (ANOVA) showed that the load was the most influential factor, followed by CR and fuel. The confirmatory results showed an improvement of 56.1%, indicating that biodiesel can be efficiently used in an unmodified compression ignition engine by varying these influencing factors.
Korovkin type approximation theorems for weighted αβ-statistical convergence

The concept of αβ-statistical convergence was introduced and studied by Aktuuglu (Korovkin type approximation theorems proved via αβ-statistical conver- gence, J Comput Appl Math 259:174-181, 2014). In this work, we generalize the concept of αβ-statistical convergence and introduce the concept of weighted αβ- statistical convergence of order γ, weighted αβ-summability of order γ, and strongly weighted αβ-summable sequences of order γ. We also establish some inclusion rela- tion, and some related results for these new summability methods. Furthermore, we prove Korovkin type approximation theorems through weighted αβ-statistical conver- gence and apply the classical Bernstein operator to construct an example in support of our result.
A short remark on the solution of Rachford-Rice equation

Ling LIN , Dan-Ni YU , Chun-Hui HE , and Yanping LIU d a Ningbo Advanced Textile Technology and Fashion CAD Key Laboratory, Zhejiang Fashion Institute of Technology, Ningbo, China b National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou, China c Department of Chemistry, Xi’an Jiao Tong-Liverpool University, Suzhou, China d College of Ocean Science and Technology, Zhejiang Ocean University, Zhoushan, China
Experimental and theoretical study of wind turbine wakes in yawed conditions

This work is dedicated to systematically studying and predicting the wake characteristics of a yawed wind turbine immersed in a turbulent boundary layer. To achieve this goal, wind tunnel experiments were performed to characterize the wake of a horizontal-axis wind turbine model. A high-resolution stereoscopic particle image velocimetry system was used to measure the three velocity components in the turbine wake under different yaw angles and tip-speed ratios. Moreover, power and thrust measurements were carried out to analyse the performance of the wind turbine. These detailed wind tunnel measurements were then used to perform a budget study of the continuity and Reynolds-averaged Navier–Stokes equations for the wake of a yawed turbine. This theoretical analysis revealed some notable features of the wakes of yawed turbines, such as the asymmetric distribution of the wake skew angle with respect to the wake centre. Under highly yawed conditions, the formation of a counter-rotating vortex pair in the wake cross-section as well as the vertical displacement of the wake centre were shown and analysed. Finally, this study enabled us to develop general governing equations upon which a simple and computationally inexpensive analytical model was built. The proposed model aims at predicting the wake deflection and the far-wake velocity distribution for yawed turbines. Comparisons of model predictions with the wind tunnel measurements show that this simple model can acceptably predict the velocity distribution in the far wake of a yawed turbine. Apart from the ability of the model to predict wake flows in yawed conditions, it can provide valuable physical insight on the behaviour of turbine wakes in this complex situation.
Experimental and numerical analysis of a nanofluidic thermosyphon heat exchanger

ABSTRACT Thermosyphons have high effective thermal conductivity and are applicable for different heat transfer purposes including cooling devices and heat exchangers. In the present study, thermal performance of a thermosyphon is experimentally investigated by using Ni/Glycerol–water nanofluid in three concentrations including 0.416, 0.625 and 1.25 g/lit. Experimental results revealed that using the nanofluid with 0.625 g/lit concentration leads to lowest thermal resistances. Afterwards, a thermosyphon-based heat exchanger is designed and numerically investigated to compare its performance with copper heat exchanger. Since the effective thermal conductivity of thermosyphon depends on temperature difference between condenser and evaporator, a novel approach is applied to achieve precise modeling. Effects of mass flow rates of cold and streams and inlet temperature of hot stream on heat transfer rate are evaluated. Results revealed that using thermosyphon instead of copper tubes with the same dimensions results in more than 100% improvement in heat transfer capacity. Moreover, it is concluded that increase in the mass flow rates of the streams and inlet temperature of hot stream lead to increase in heat transfer rate. A 3D graph is represented to evaluate the influences of hot stream temperature and mass flow rate on the heat transfer rate of thermosyphon-based heat exchanger.
Fricative productions of Mandarin-speaking children with cerebral palsy: the case of five-year-olds

ABSTRACT This study aimed at improving the understanding of speech characteristics of fricatives produced by five-year-old Mandarin-acquiring children with cerebral palsy (CP). Productions from nine CP children and nine gender-and-age-matched typically developing (TD) children were collected and analyzed. Results from transcription indicated that the CP group had lower production accuracy rates for all the five fricatives in Mandarin Chinese. Additionally, when the CP children failed to articulate the target fricative segments, they tended to delete them or convert them into non-continuant segments. Results from acoustic analyses indicated that the M2 values of the labiodental [f] and the M1 and M2 values of the alveolar [s] were higher among the CP children. The experimental results revealed that: (1) Observable differences were available once the age of the groups was properly controlled and acoustical measurements were adopted; (2) the lack of finer-grained speech motor control abilities among CP children were reflected in the M1 and M2 values; (3) for segments at the anterior places, the clinical group failed to extend the articulatory gestures to the desirable positions. It is suggested that future studies focusing on different age groups and children with different native languages would help to approach the nature of articulatory barriers among individuals with CP.
PI161-2-DECSim Discrete Exterior Calculus: a Framework for Computer Simulation and Geometric analysis based on advanced mathematical concepts

The following document summarizes the results of a research project regarding the construction and implementation of Discrete Exterior Calculus (DEC) applied to the context of commercially made triangulated surfaces (.obj meshes) using the Processing IDE. The document presents a full construction of the foundations of DEC theory starting from a simple approach to the topology of triangulated surfaces which allows us to build a theory of calculus that borrow from the theory of exterior calculus on di erentiable manifolds to build a fully discrete theory of calculs that manages to relate topology to geometry introducing the notion of duality at several levels. We show both algorithm designs and Java code for Partial Di erential Equation solution, mesh analysis and mean discrete curvature calculation as examples of applications of this theory and provide actual tests performed on meshes created with MakeHuman and Blender 2.74b.
A true least action principle for damped motion

This work is a formulation of the least action principle for classical mechanical dissipative systems. We consider a whole conservative system composed of a damped moving body and its environment receiving the dissipated energy. This composite system has a conservative Hamiltonian H = K1 + V1 + H2 where K1 is the kinetic energy of the moving body, V1 its potential energy and H2 the energy of the environment. The Lagrangian is found to be L = K1 − V1 − Ed where Ed is the energy dissipated from the moving body into the environment. The usual variation calculus of least action leads to the correct equation of the damped motion.
Realization in Generalized State Space form for 2-D Polynomial System Matrices

In this paper, a direct realization procedure is presented that brings a general 2-D polynomial system matrix to generalized state space (GSS) form, such that all the relevant properties including the zero structure of the system matrix are retained. It is shown that the transformation linking the original 2-D polynomial system matrix with its associated GSS form is zero coprime system equivalence. The exact nature of the resulting system matrix in GSS form and the transformation involved are established.
Analyzing the expected role of strategic leadership and supportive culture in executing business strategies: The mediating role of employee engagement

This study investigates the relationships between strategic leadership, supportive culture, and strategy execution. Employee engagement was assumed to mediate the relationship between the study variables. A questionnaire was administered to a sample of 249 respondents. The researchers used many statistical techniques to test the study hypotheses and validate the proposed research framework. The findings of the study support the notion that the combination of supportive culture and strategic leadership is best to increase the likelihood of strategy execution success. The suggested conceptual framework reveals that organizations can execute strategies successfully by enhancing the capabilities of strategic leadership and creating a supportive culture. Employee engagement is also expected to play a pivotal role in supporting the leader’s efforts and activating the role of the supportive culture. Further studies could be extended to cover other organizational factors such as digital culture in its relationship with strategy execution. Organizations should effectively communicate the strategy to the executors, increase the clarity of the strategic objectives, create an agile organization, and reward executors. Additional work will be necessary to generalize the findings to other management programs related to strategy execution. The study adds to the body of knowledge related to the strategy execution process. It fills a knowledge gap since most of the literature review focuses on strategy formulation rather than strategy execution. The study also provides corporate leaders with a framework to help them to overcome the hurdles of strategy execution.