Miracle-dz/UniFAR-FTUs huggingface dataset:
A survey of network traffic generation

Network traffic generation is very important for testing network equipment, network services, and security products. The paper firstly introduces the significance and the classification of network traffic generation. Then, the paper chronologically categorizes the research activities of network traffic generation into three different methods: 1) traffic generation based on network traffic model; 2) traffic generation based on traffic characteristics; 3) traffic generation based on application protocol. Thorough reviews of the major research achievements of each kinds are conducted. Finally, the paper identifies some open research issue and points out possible future research directions in traffic generation area.
Tightly Coupled CFD/Multibody Analysis of Flapping-Wing Micro-Aerial Vehicles

This work presents the coupling of a multibody dynamics analysis to vortex lattice and incompressible and compressible Navier-Stokes solvers for the analysis of flapping wing micro-aerial vehicles. Complex structural models, based on original nonlinear beam and shell formulations, describe the dynamics of the structure. Unsteady fluid-dynamics analyses of increasing complexity describe the flow field and the interactional loads. The verification of the analysis, and its validation by correlation with data from the open literature are presented.
A High Performance DC/DC Converter as MPPT for Solar Modules

The energy produced by solar modules is influenced by environmental conditions such as temperature and radiation intensity. Therefore, the generated voltage range is variable. The energy produced by solar modules has the maximum value at a certain point. Techniques for Maximum Power Point Tracking (MPPT) applied to step down - step up DC/DC converters can be used to increase the efficiency of solar modules. In this paper, a new step down-step up DC/DC converter is proposed which has lower ripple at output voltage and input current compared to the conventional converters. Moreover, the proposed converter has fewer number of keys and thus less dissipation and greater efficiency compared to the conventional devices.
Clausewitz and the Gestalt of War

War features unpredictability, incompleteness and instability. It is composed of a com- plex web of interconnected constituents in which friction poses a serious challenge. Clausewitz regarded war an integrated and holistic activity with having one gestalt as a functional unit. The term gestalt comes from German and stands for shape. It refers to the concept of wholeness with properties that cannot be summed up by their parts and do not equal a simple summation. Unpredictability helps us see war as a phenomenon that cannot be compounded from the actions of the constituent parts. War can be described with a certain precision, but this precision is not necessarily relevant to the parts. The gestalt of war accords with the observation that war does not always allow for logical, direct and traceable connections between causes and effects.
Ritual Revision During a Crisis: The Case of Indian Religious Rituals During the COVID-19 Pandemic

Rituals, particularly religious rituals, may play a significant role in times of crises. Often, these rituals undergo revision to adapt to the changing needs of the time. This article investigates recent unofficially revised Hindu religious rituals as performed during the COVID-19 pandemic. The multifarious creative interplay between Hindu tradition and change is illustrated through four cases: the religious festival of Durga Puja, the devotional songs or bhajans, the ritual of lighting lamps or diyas, and the fire rituals or havans. The authors offer a systematic discourse analysis of online news articles and YouTube posts that illuminate several aspects of ritual revision during unsettled times. They focus on the changes that were made to ritual elements: who controlled these alterations, how these modifications were made, and what potential benefits these revisions offered to the community of ritual participants. The authors highlight public policy implications regarding the involvement of diverse social actors, the creation of faith in science, the creation of feelings of unity and agency, and the amplification of local ritual modifications on a national scale.
Optimum Solar-Powered HDH Desalination System for Semi-Isolated Communities

For semi-isolated communities, fresh water may be scarce; however, brackish water or seawater can be easily accessed. This provides a drive to develop optimum-cost desalination system for such communities. This paper presents the optimization of a water-heated solar-powered humidificationdehumidification (HDH) desalination system with variable saline water flow rate. The design variables include the sizing of solar collector, storage tank and its internal heat exchanger, humidifier and dehumidifier. A program was developed to predict performance based on selected weather data file and optimize the system for minimum unit cost of produced fresh water. System cost is predicted via different first-order estimators. A tailored optimization technique is used and compared to a genetic algorithm procedure in the design optimization for local climate and market. A case study develops an optimum desalination plant for the Red Sea near the city of Hurgada and compared to previously developed system.
MicrobiotaProcess: A comprehensive R package for managing and analyzing microbiome and other ecological data within the tidy framework

The data output from microbiome research is growing at an accelerating rate, yet mining the data quickly and efficiently remains difficult. There is still a lack of effective data structure to represent and manage data, as well as flexible and composable analysis methods. In response to these two issues, we designed and developed the MicrobiotaProcess package. It provides a comprehensive data structure, MPSE, to better integrate the primary and intermediate data, which improves the integration and exploration of the downstream data. Around this data structure, the downstream analysis tasks are decomposed and a set of functions are designed under the tidy framework. These functions independently perform simple tasks and can be combined to perform complex tasks. This gives users the ability to explore data, conduct personalized analysis and develop analysis workflows. Moreover, MicrobiotaProcess can interoperate with other packages in the R community, which further expands its analytical capabilities. This article demonstrates the MicrobiotaProcess for analyzing microbiome data as well as other ecological data through several examples. It connects upstream data, provides flexible downstream analysis components, and provides visualization methods to assist in presenting and interpreting results.
Prolongation of Corrected QT Interval in Diabetic Patients with Ketoacidosis

Background: Diabetic ketoacidosis (DKA) is the most common acute hyperglycemic complication of diabetes. According to a recent report DKA affects approximately 8 per 1000 diabetics annually. It is associated with significant morbidity and mortality, with a worldwide mortality rate of 2-10%. Objective: The aim of the work was to assessment of QTc interval prolongation among patients with DKA. Patients and Methods: This prospective observational cohort study included 100 patients who were diagnosed with DKA. The mean age of patients was 37.29±11.63 years, and 53% of them were males. All patients were subjected to detailed history taking, full clinical examination, laboratory investigations and 12-lead ECG. Results: Frequency of Prolonged QTmaxc amongst studied patients was 59%. Mean QTmaxc declined significantly after treatment to be 414.6±44.1ms compared to 482.45±63.56ms before treatment with p<0.0001 and Frequency of prolonged QTmaxc was significantly decreased with treatment from 59% to 20%. Anion gap was significantly higher for Prolonged QTmaxc patients compared to normal QTmaxc patients p<0.0001. While ABG (PH, HCO3) were significantly lower for Prolonged QTmaxc patients compared to normal QTmaxc patients p<0.0001. Logistic regression revealed that anion gap was significant independent risk factor for QTmaxc prolongation while. Conclusion: patients with DKA have a potential risk of QTmaxc interval prolongation due to acidosis regardless electrolytes abnormalities, and associated with a relative risk of 1.732-fold for mortality. Carful measuring of anion gap at time of admission can be used in diagnosis and prediction of occurrence of prolonged QTmaxc with high sensitivity and specificity.
Improvement of microstrip patch antenna gain and bandwidth at 60 GHz and X bands for wireless applications

A method has been proposed to simultaneously enhance the gain (14 dB), bandwidth (BW) (12.84% of the operating central frequency) and efficiency (94%) of a microstrip patch antenna. The antennas have been designed based on the patch size improvement technique to improve the fabrication tolerance. The designed prototypes have been fabricated by conventional low cost printed circuit board etching method and tested at X-band (8-12 GHz) and 60 GHz band (57-66 GHz) frequencies. Antennas' overall performance is maintained across their operating frequency range. The tested antennas for 60 GHz band convince the requirements for multi-gigabits/s data rate wireless local area network and wireless personal area network applications recommended by IEEE 802.11ad and IEEE 802.15. 3c standards. In all cases the simulation and the measured results are in good agreement.
Cellular Communications Over Unlicensed mmWave Bands With Hybrid Beamforming

In this paper, we study the cellular communications over unlicensed millimeter-wave (mmWave) bands to satisfy the extra-high transmission rate demands. To guarantee the harmonious coexistence of cellular and WiGig users over 60 GHz bands, we design a frame structure for the unlicensed mmWave spectrum sharing to reduce the interference caused by cellular data transmission to WiGig networks. By joint frequency and spatial resource allocation, an iterative channel allocation and hybrid beamforming algorithm is designed to maximize the sum rate of all cellular users while minimizing the interference to WiGig networks. Simulation results show that our proposed scheme outperforms the SVD-based hybrid beamforming method. The fairness between the cellular and the WiGig users is achieved by setting an optimal transmit power of the gNB for unlicensed mmWave spectrum sharing. The influence of the beamwidth and beam direction of the gNB is evaluated in terms of the system performances of both the unlicensed cellular users and WiGig users.
Sample Preparation of Cosmetic Products for the Determination of Heavy Metals

The sample preparation of a cosmetic specimen in Cosmetic Science for the purpose of determining the analytical composition of heavy and toxic metals such as lead (Pb), mercury (Hg), cadmium (Cd), and arsenic (As) is of particular importance due to the difficulty of handling the sample. There are two main methods of sample preparation. The first method is the wet digestion of the sample with strong acids such as H2SO4, HNO3, HF, and HNO3/HCl (1:3) and the combination of a strong acid with H2O2. Liquid digestion of the sample under the influence of strong acids damages the organic material of the sample and converts the carbon into carbon dioxide. The contained metals are oxidized to the highest oxidizing step and converted to soluble salts. A problem with this method is the loss of metals during digestion because it occurs at high temperatures as well as the decrease in the concentration of the residual acid. The second method of preparation is the wet liquid digestion of the sample with strong acids in a microwave oven in a closed vessel. The acids that are used are mainly HNO3 or mixtures of acids such as HNO3–HCl and HNO3–H2SO4. When the sample in the acid’s solvent is exposed to microwave energy, it can reach temperatures substantially above the boiling temperature of the acid solution. The result is the decomposition of the organic material, the oxidation of the metals, and their conversion to soluble nitrates. The advantages of using microwaves are the ability to control the temperature, pressure, and loss of metals and, thus, avoid erroneous measurement results. Simultaneously with the above, extraction methods have been, for almost a decade, very effective complementary processes that we can use to enrich a sample of a cosmetic product. Liquid–liquid dispersion micro-extraction (DLLME) and solid phase extraction (SPE) are the two main methods used in sample preparation and are usually applied after the digestion process.
A collaboration approach for cloud factories based on Kuhn–Munkras algorithm

ABSTRACT Cloud manufacturing (CMfg) is a network-based and service-oriented resource-sharing manufacturing paradigm, where resources from different factories are encapsulated as services that can be jointly employed to complete manufacturing tasks. To provide an efficient collaboration strategy among the factories in CMfg, in this work, a universal framework was proposed to describe manufacturing resources under the cloud environment, in which both equipment and factory levels were considered. Moreover, a collaboration model among cloud factories was presented from the perspective of the bipartite graph. Specifically, the surplus and demands of resources were mapped to vertex vectors of the bipartite graph, respectively. Collaboration expectations of each factory, QoS (quality of service) and supply-demand balance of manufacturing capacity were evaluated as the matching degree. Furthermore, the Kuhn–Munkras(KM) algorithm, which is good at bipartite graph matching, was adopted to solve the proposed model. Finally, results from simulation confirmed that the proposed method is feasible and advanced, in comparison with the current related methods.
Adaptive stochastic gradient descent for optimal control of parabolic equations with random parameters

In this paper we extend the adaptive gradient descent (AdaGrad) algorithm to the optimal distributed control of parabolic partial differential equations with uncertain parameters. This stochastic optimization method achieves an improved convergence rate through adaptive scaling of the gradient step size. We prove the convergence of the algorithm for this infinite dimensional problem under suitable regularity, convexity, and finite variance conditions, and relate these to verifiable properties of the underlying system parameters. Finally, we apply our algorithm to the optimal thermal regulation of lithium battery systems under uncertain loads.
STRESS CONCENTRATION AND FATIGUE STRENGTH OF RECTANGLE PLATES WITH BOLTED CIRCULAR HOLES

疲労損傷の補修方法の一つに疲労亀裂の先端に円孔をあけ, それをボルト締めする方法がある. ここでは, この方法で補修した疲労損傷部材の疲労強度評価を行なう際の鍵になると考えられるボルト締めによる円孔壁での応力集中の緩和に注目し, 中央にボルト締めした円孔を有する矩形鋼板の応力測定試験および三次元有限要素応力解析を行なうことにより, 応力集中緩和に対する母板の厚さ, 円孔径, ボルト軸力の影響について検討している. さらに, 応力測定試験結果と応力解析結果から求めた応力集中の緩和を利用した疲労強度評価方法を示すとともに, その評価方法の妥当性を既往の疲労試験結果と比較することにより確かめている.
UCAV Close Range Combat Occupying Strategy And Program

Against the problem of rigorous launch conditions of preposition tracing,and the success rate will decline sharply if enemy aircraft maneuver,meanwhile,the limitations of discrete game occupying is large,this paper presents a occupying strategy and guidance law program.It's calculates the fake tracing point.Then designs a three dimension variable structure guidance law,lead UCAV finish occupying maneuver in close range combat.Simulation results indicate that this method is fast and effective which meets the tactical measures demands of UCAV close range combat.
EFFECT OF DIFFERENT FEEDING AND FEED DEPRIVATION CYCLES ON GROWTH PERFORMANCE OF NILE TILAPIA (Oreochromis niloticus)

Nile tilapia juveniles (24.8 g/fish) were subjected to four feeding regimes (32 fish per tank) that included three feed deprivation and refeeding cycles for a duration of 84 days. Each feeding cycle constituted one treatment. The one day deprivation cycle included feed deprivation for one day followed by three days re-feeding period. The two-day deprivation cycle included food deprivation for two days followed by six-day re-feeding period. The three days deprivation cycle included feed deprivation for three days followed by nine-day of re-feeding period. All food deprivation cycles were repeated all over the experimental period. The control treatment was fed to satiation every day without any period of food deprivation. Nile tilapia was fed with commercial extruded diet (32% crude protein). Starting with initial weights of 24.4-25.2 g/fish at the start of the experiment. Nile tilapia grew to 55.0 -71.3 g /fish at harvest time, with significant differences in growth patterns among treatments (P<0.05). Fish within food deprivation treatment did not differ significantly in terms of final body weight which ranged from 55.0 to 63.02 g /fish (P<0.05). However, the control treatment had a higher body weight by 13 to 29 % compared with all feed deprivation treatments. This was expected since the control fish group consumed more food intake 0.86 g diet/fish/day compared to all feed deprivation groups that consumed 0.54 to 0.7 g diet /fish/day during the course of the experiment (p<0.05). When comparing weight gain and total feed intake of the 3 days fasting cycle (42.08 g/fish and 59.0 g diet/fish, respectively) with those of the control treatment (46.6 g/fish and 72.7 g diet/fish, respectively), it can be concluded that despite fish were exposed to three-day fasting cycle, weight gain was lower by 19%, while total feed intake was lower by 18% compared to the continuous feeding control treatment. During fasting period (21 days in each of the three cycles) Fish consumed energy for routine metabolism needed for survival. Energy required for fish survival during the fasting period (21 days) was obtained from dietary energy consumed during re-feeding periods. This should have negatively affected feed conversion ratio if this energy were to be deduced from the feed intake fed during the experiment. All fasting treatments had similar feed conversion ratio compared to the continuous feeding (control) group (P<0.05) which indicate that FCR in the food deprivation groups was compensated during re-feeding by a decrease in metabolic costs or an improvement in feed
Identification of Novel Mitochondrial Pyruvate Carrier Inhibitors by Homology Modeling and Pharmacophore-Based Virtual Screening

The mitochondrial pyruvate carrier (MPC) is an inner-mitochondrial membrane protein complex that has emerged as a drug target for treating a variety of human conditions. A heterodimer of two proteins, MPC1 and MPC2, comprises the functional MPC complex in higher organisms; however, the structure of this complex, including the critical residues that mediate binding of pyruvate and inhibitors, remain to be determined. Using homology modeling, we identified a putative substrate-binding cavity in the MPC dimer. Three amino acid residues (Phe66 (MPC1) and Asn100 and Lys49 (MPC2)) were validated by mutagenesis experiments to be important for substrate and inhibitor binding. Using this information, we developed a pharmacophore model and then performed a virtual screen of a chemical library. We identified five new non-indole MPC inhibitors, four with IC50 values in the nanomolar range that were up to 7-fold more potent than the canonical inhibitor UK-5099. These novel compounds possess drug-like properties and complied with Lipinski’s Rule of Five. They are predicted to have good aqueous solubility, oral bioavailability, and metabolic stability. Collectively, these studies provide important information about the structure-function relationships of the MPC complex and for future drug discovery efforts targeting the MPC.
Improving RF Spectrum Utilization using Matched Filter based Spectrum Sensing for CRN

-In this paper we proposed matched filter based spectrum sensing method for two different modulation techniques. Matched filter uses convolution of the known signal with a conjugated time reversed version of the template maximizing signal to noise ratio in the presence of additive noise. In matched filter method sum of filtered received signal is compared with predetermined threshold. Simulation result shows that our proposed method gives higher detection performance than energy detection method.
Evaluation of Antibacterial Effect of Rosmarinus Officinalis Extract on Streptococcus Mutans in Children

Purpose The aim of study was to evaluate antibacterial effect of Rosemarinus officinalis extract on Streptococcus Mutans in group of Egyptian children in comparison with gold standard chlorhexidine. Subjects and Methods: Total of 40 Egyptian children with no sex predilection included in this study. Children’s ages ranged from 6 to 12 years. Children divided into 2 groups A and B. Group A (experimental group): 20 children instructed to rinse with 5ml of R. officinalis extract twice per day for 2 weeks 30 seconds/rinse. Group B (control group): 20 children instructed to rinse with 5ml of Chlorhexidine (0.12 %) twice per day for 2 weeks 30 seconds/rinse. Results: In both groups there was statistically significant reduction in Streptococcus Mutans counts were obtained but the reduction was found slightly higher in chlorhexidine group. Conclusions: The use of Rosmarinus officinalis extract in children is safer than chlorhexidine because rosemary is natural herb that does not contain any chemicals.
Dynamics of metabolic characteristics in dairy cows and their impact on disease-free survival time.

Dairy cows are at a greater risk of disease due to increased energy demand during the transition period. Blood biomarkers including beta-hydroxybutyrate (BHBA)1 and non-esterified fatty acids (NEFA)2 are routinely used to identify animals in a state of negative energy balance (NEB)3. Recent research demonstrates cattle have varied response to NEB, that requires multiple blood biomarkers to characterize. This research identified five subcategories (cowtypes) of metabolic responses in transition dairy cows: Healthy, Athlete, Clever, Hyperketonemia, and Poor Metabolic Adaptation Syndrome (PMAS)4. The data set used in this study was collected in Germany by VIT - Vereinigte Informationssysteme Tierhaltung w.V. from 2016 to 2020. Health issues with time of diagnostic were included in the dataset. Using previously reported prediction models for blood BHB and blood NEFA and milk Fourier-transform infrared spectroscopy (FTIR)5 data, the cowtypes in our dataset were predicted. The objective of this study is to evaluate the association of the cowtypes with the disease-free survival time in dairy cows during early post calving using an accelerated failure time regression model. Additionally, transition probabilities of the population dynamics between cowtypes are studied by means of a Markov chain model. Using Healthy cowtype as reference level, Athlete, Clever, and PMAS cowtypes were found to be significant for the disease-free survival probability (P < 0.01). Conversely, Hyperketonemia cowtype was not significant (P = 0.182). Compared to the Healthy cowtype, all other cowtypes had a negative effect on the survival probabilities, which was higher for PMAS cows. Furthermore, after computing the estimated population transition probabilities among cowtypes, the stationary distribution of the Markov chain, along with bootstrap confidence intervals were computed. The results showed 0.091 (95% CI:0.089,0.092), 0.077 (95 % CI:0.074,0.078), 0.684 (95 % CI:0.067,0.069), 0.138 (95 % CI:0.136,0.139), and 0.009 (95% CI:0.008,0.010) of probability of being in Healthy, Athlete, Clever, Hyperketonemia, and PMAS cowtype, respectively. These estimates represent the proportion of cows belonging to the different cowtypes in a herd; information which may prove useful for herd management. The application of blood biomarker predictions using milk FTIR allows us to investigate differences between predicted cowtype and movements between these states and the association with time to disease. Further research will improve our understanding of the dynamic nature of the transition period.