Miracle-dz/UniFAR-FTUs huggingface dataset:
Series-Resonator Buck Converter—Viability Demonstration

The series-capacitor buck converter doubles the duty ratio, and equalizes the current between two phases. A series-resonator buck converter is realized by adding a resonant tank in series with the series capacitor Cs. All switches turn on at zero voltage, and the low-side switches turn off at zero current. The resonant tank generates additional loss and increases the voltage stress of the low-side switches. A 2-MHz prototype with a peak efficiency of 98.5%, 48 V at the input and 7 V, 20 A at the output was built to demonstrate the viability of the topology.
An Experimental Survey on Methods for Integrating Scripts Into Adversarial Search for RTS Games

Real-time strategy games are challenging problems from an AI point of view. Specifically, they are particularly hard for tree search algorithms due to their combinatorial branching factors and the limited amount of time available to choose actions. As the community grows and many real-time strategy (RTS) game competitions are being held, much work has been done in the direction of integrating hand-authored scripted bots into tree search algorithms, with the goal of making search tractable. In this article, we survey a collection of representative algorithms which integrates scripts into search or planning algorithms. Then we compare them experimentally in the $\mu$RTS environment and examine the tradeoffs for designing such algorithms. We also discuss the potential future work in this direction of research and connections to other types of algorithms.
Simultaneous Determination of Amoxicillin, Clarithromycin and Esomeprazolein Mice Plasma after Oral Administration by Reverse Phase HPLC Method

A simple and precise reverse phase high-performance liquid chromatography (RP-HPLC) method for simultaneous determination of amoxicillin, clarithromycin and esomeprazole in mice plasma after an oral administration was developed and validated. An isocratic elution was achieved on C18 column with a mobile phase containing buffer, potassium di hydrogen phosphate (KH2PO4 ) 0.05 M at pH 5 and methanol (60:40 v/v) at a flow rate of 1 mL/min, injection volume was 10 µL and UV detection was kept at 205 nm. Linearity was in the range of 0.5-100 µg/mL for amoxicillin, 50-1000 µg/mL for clarithromycin and 0.1-100 µg/mL for esomeprazole. Limit of detection (LOD) and Limit of quantification (LOQ) were 0.26 µg/mL and 0.79 µg/mL for amoxicillin, 8.97 µg/mL and 27.20 µg/mL for clarithromycin, 0.13 µg/mL and 0.39 µg/mL for esomeprazole respectively. All samples were stable at room temperature for 72 hours. The pharmacokinetic studies showed that the maximum plasma concentrations (Cmax) were 1042.17 ± 4.0, 218.67 ± 5.3 and 18.97 ± 3.6 µg/mL for amoxicillin, clarithromycin and esomeprazole respectively. Whereas, the times to reach maximum plasma concentration (Tmax) were 2.0, 4.0 and 2.0 hours respectively. Over all, the validated HPLC method may be used for the determination of such drugs in their pharmaceutical formulation and can be applied for routine quality control analysis.
Research Problems in Recommender systems

With continuous growth of web applications around the globe, it is a challenge to find the suitable information needed for the user in a limited time.Number of handheld mobile devices is increasing and most of the business revolves around the correct search of the data. Without a proper recommender system it is very difficult to get required information from the web applications. Web applications use recommender systems to provide suitable data to users based on their choices and interests. For different kinds of needs different types of recommender systems have been proposed. Two most basic types of recommender systems are collaborative filtering recommender system and content based recommender system. Sometimes these two recommender systems are combined to increase the efficiency of a recommender system The generated new recommender system is known as hybrid recommender system. The purpose of this paper is to help readers understand the basics of recommender systems. This paper identifies key areas of research openly available for new researchers. After reading this paper new researchers can understand basic problems of recommender systems which need improvement and hence they can make those problems their area of research.
Criminal legal aid and access to justice: an empirical account of a reduction in resilience

ABSTRACT This paper examines the work of criminal legal aid solicitors and the state of practice under challenging conditions for the sector. Drawing on an empirical study in south Wales containing 20 semi-structured interviews, it provides original data on the frontline of criminal practice. It is argued – using vulnerability theory – that the challenges facing criminal legal aid solicitors deplete their and their client’s resilience but at the same time bolsters the resilience of the police and prosecution. It further urges that vulnerability theory be used to examine criminal justice in practice, particularly the dynamics between various actors.
Ranking Function to Solve a Fuzzy Multiple Objective Function

في هذا البحث سوف نقوم بأستخدام اثنين من الدوال الرتبية لحل نموذج البرمجة المتعددة الضبابية ويتم ذلك بأستخدام نوعين من الدوال العضوية شبه المنحرف وهما الدالة العضوية الاعتيادية الضبابية والدالة العضوية الموزونة الضبابية وذلك عندما تكون دالة الهدف هي دوال ضبابية وهكذا لابد من ان نحول ونقلص النموذج الضبابي الى نموذج تقليدي واخيرا نحل هذين النموذجين لمعرفة اي منهما الافضل.
Irradiation studies of astrophysical ice analogues.

In this thesis the formation of molecular species in cold icy mantles, typical of those in the interstellar medium (ISM) has been studied. The construction of an ultra high vacuum system for the formation and containment of these astrophysical ice analogues is described. The method of preparation of these ices is detailed and analysis methodologies are discussed. VUV spectra of molecular ices (e.g. SO2, CH3NH2, OCS) measured on the UV1 beam line of the Astrid Synchrotron facility at the University of Aarhus in Denmark, are presented. Molecular synthesis (e.g. CO3, CO, H2CO3) induced by ion irradiated CO2/H 2O ices using facilities at Queens University Belfast are also reported. In particular this thesis focuses on the irradiation studies of the binary ice mixture of Methylamine (CH3NH2) and Carbon Dioxide (CO2). The results of irradiation of CH3NH2 and CO2 binary ice mixtures by ultraviolet photons, and electrons are presented. The apparent production of the amino acid - glycine - in our irradiated samples is discussed together with possible production processes.
Research on promoting factors of "Internet Plus Innovation and Entrepreneurship" based on the perspective of cloud analysis and fuzz analysis method

With the rapid development of “Internet plus” in our country, the scope of its influence is also constantly expanding. Especially in recent years, China puts forward “mass entrepreneurship and innovation”, which makes the “cloud analysis” and “Internet plus” and “innovation” to start cross-border integration. Starting with the background, development stage, environment and other aspects of Internet-plus entrepreneurship and innovation under the cloud analysis, this paper analyzes the influence of various factors in the process of Internet plus entrepreneurship and innovation and the influence degree of various factors on entrepreneurship and innovation in depth, constructs the entrepreneurship and innovation evaluation index system based on the “Internet plus”, and finally, combined with an example to verify the index system and fusion analysis method. The verification results show that the “Internet plus” entrepreneurship and innovation based on the perspective of cloud analysis in this paper can not only directly demonstrate the promoting factors of “entrepreneurship and innovation “under Internet plus”, but also be scientific and effective when evaluating the “Internet plus” entrepreneurship and innovation activities from the perspective of cloud analysis.
CAD-Based 3D-FE Modelling of AISI-D3 Turning with Ceramic Tooling

In this study, the development of a 3D Finite Element (FE) model for the turning of AISI-D3 with ceramic tooling is presented, with respect to four levels of cutting speed, feed, and depth of cut. The Taguchi method was employed in order to create the orthogonal array according to the variables involved in the study, reducing this way the number of the required simulation runs. Moreover, the possibility of developing a prediction model based on well-established statistical tools such as the Response Surface Methodology (RSM) and the Analysis of Variance (ANOVA) was examined, in order to further investigate the relationship between the cutting speed, feed, and depth of cut, as well as their influence on the produced force components. The findings of this study point out an increased correlation between the experimental results and the simulated ones, with a relative error below 10% for most tests. Similarly, the values derived from the developed statistical model indicate a strong agreement with the equivalent numerical values due to the verified adequacy of the statistical model.
Linkages Between Trade Facilitation and Governance: Relevance for Post-COVID-19 Trade Strategy

The devastating effect of COVID-19 on the economy, health and the financial system is well known now. The pandemic has distorted trade as well. In such a situation, trade facilitation (TF) has emerged as an effective tool to mitigate the devastating effect of COVID-19 on trade. Several countries have initiated policy responses to take necessary steps towards TF measures. However, a relevant question arises: Are all these countries prepared for the effective and efficient implementation of the TF measures? This study attempts to answer this question by identifying the major institutional determinants of TF measures (mainly included in the World Trade Organization [WTO] Trade Facilitation Agreement) based on existing theories, such as the ‘theory of institutions’ and the ‘political economy of trade policy’ approach. It utilizes data of many countries for the years 2012, 2015, 2017 and 2019. The findings of this study suggest that the quality of governance has a significant positive impact on all TF measures. Moreover, the study finds that developing and small-sized countries are more responsive to the impact of an institutional factor on their TF performance than developed and large-sized countries. Therefore, it proposes measures to improve TF performance, which is crucial to minimize further disruptions in trade caused by COVID-19.
Efficient identification of material parameters based on experiments providing full‐field kinematics

Performing predictive and accurate simulations of anisotropic, nonlinear materials requires not only to construct an appropriate constitutive model describing the mechanical behavior, but also to devise a methodology which enables a quantitative identification of the material parameters. Nowadays, full‐field measurements of displacements and strains are considered as effective tool for material characterization. In the scope of this work, first, the material model is reformulated such that the parameters appear linear in the constitutive equations. Second, the full‐field kinematics are directly inserted into the discretized equilibrium equation. This enables the definition of a quadratic objective function in terms of differences of discrete internal and external forces. Third, one single inhomogeneous experimental setup is designed to excite all deformation modes in the material model.
Review on fire explosion research of crude oil storage tank

With the rapid development of the world economy, the petrochemical industry energy reserve strategy and production demand increase, petrochemical storage tank farm scale is also expanding, and continue to large, intensive direction of development. In recent years, there are many disastrous accidents such as oil leakage, explosion and combustion of storage tank, so it is necessary to study the combustion and explosion behavior of storage tank. This paper studies the mechanism of explosion combustion in crude oil tank area, summarizes and states the progress of crude oil explosion combustion research at home and abroad, and lists several common risk evaluation methods for tank risk management, which can provide technical support for safety management and accident emergency rescue through qualitative, quantitative evaluation and accident consequence simulation calculation. Therefore, we should sum up the experience and lessons from the accident, strengthen the theoretical research, to avoid the recurrence of similar accidents, and effectively guarantee the safety of national energy reserves.
Fabrication of Bioactive Material-Reinforced Caprolactam-Based Cyanate Ester Composite for Coating Applications

ABSTRACT The nanocomposite material consisting of bioactive amine-terminated cyclotriphosphazene and functionalized titanium dioxide nanoparticle-reinforced caprolactam-based cyanate ester composites (amine-terminated cyclotriphosphazene/functionalized titanium dioxide/cyanate ester–caprolactam) was developed for coating applications. The structural characterization and coating properties of amine-terminated cyclotriphosphazene/functionalized titanium dioxide/cyanate ester–caprolactam composites coated on MS plates were studied by Fourier transform infrared spectroscopy, scanning electron microscope, contact angle, and electrochemical measurements. The antibacterial studies of amine-terminated cyclotriphosphazene/functionalized titanium dioxide/cyanate ester–caprolactam were also performed by disk diffusion method. Hence, the results conclude that the amine-terminated cyclotriphosphazene/functionalized titanium dioxide/cyanate ester–caprolactam nanocomposites have improved hydrophobic, thermal properties, enhanced antimicrobial, and corrosion resistance properties due to the incorporation of amine-terminated cyclotriphosphazene and functionalized titanium dioxide nanoparticles. GRAPHICAL ABSTRACT
Optimisation of LEACH protocol based on a game theory clustering approach for wireless sensor networks

The wireless sensor network clustering routing mechanism is the best multi-hop algorithm used to aggregate data from sensors to the base station. Therefore the elected nodes refuse to be a clusters heads CH and have a selfish and non cooperative behaviours in each group cluster. All that due to the high electric energy consumption, and especially that the most existing sensors are powered by batteries. In this paper, we will analyse the selfishness behaviour by using the most knowing mathematical model Game theory to improve the interaction decision making for the CH selection, and make a comparison with LEACH protocol.
An Evaluation of Some Machine Learning Algorithms as Tools for Predicting Soil Characteristics Based on Their Spectral Response in the Vis‑NIR Range

Using the Land Use and Coverage Frame Survey (LUCAS) database of European soil surface layer properties, statistical and machine learning predictive models for several key soil characteristics (clay content, pH in CaCl2, concentration of organic carbon, calcium carbonates and nitrogen and exchange cations capacity) were compared on the basis of processing their spectral responses in the visible (Vis) and near‑infrared (NIR) parts. Standard methods of relationship modeling were used: stepwise regression, partial least squares regression and linear regression with input data obtained from principal components analysis. Using the inputs extracted by statistical algorithms various machine learning algorithms were used in the modeling. The usefulness of the models was analyzed by comparison with the values of the determination coefficients, the root mean square error and the distribution of residual values. The mean square error of estimation in the cross‑validation procedure for the stack model using the multilayer perceptron and the distributed random forest were as follows: for clay content – ca. 4.5%; for pH – ca. 0.35; for SOC – ca. 7.5 g/kg (0.75% by weight); for CaCO3 content – ca. 19 g/kg; for N content – ca. 0.50 g/kg; and for CEC – ca. 3.5 cmol(+)/kg.
Convergence Rate Analysis of the Proximal Difference of the Convex Algorithm

In this paper, we study the convergence rate of the proximal difference of the convex algorithm for the problem with a strong convex function and two convex functions. By making full use of the special structure of the difference of convex decomposition, we prove that the convergence rate of the proximal difference of the convex algorithm is linear, which is measured by the objective function value.
Attribute-Based Secure Announcement Sharing Among Vehicles Using Blockchain

Vehicles gather data collected by sensor nodes, combined with messages obtained from the other nodes in vehicular ad hoc networks (VANETs), to achieve safe driving. An announcement type of message is sent in the VANET; it is collected by mobile vehicles, uploaded to a cloud server for storage, and provided to other vehicles for reference. However, in an open cloud environment, plaintext data are vulnerable to unauthorized access and even malicious tampering. To solve this issue, we propose an attribute-based encryption algorithm using blockchain, which is maintained by a roadside unit (RSU). The uploader’s symmetric key is recorded on the blockchain, and all uploaded and accessed transactions are recorded for auditing. Our scheme can achieve the function of securely accessing different types of announcement messages according to different vehicle attributes. Security analysis and experimental results indicate that our scheme has achieved a balance between security and efficiency.
Analysis and Experimental Verification of a Conventional Inverter With Output LC Filter to Drive Ironless Stator Axial-Flux PM Motor

Ironless stator axial-flux permanent magnet (PM) machines are becoming a promising choice in aerospace and automotive applications. However, they come with the characteristic of extremely small armature inductance, which will result in a challenging difficulty to drive with the conventional inverter. Considering the limitation on increasing the switching frequency of high-power devices, a practical and cost-effective power circuit for driving an axial-flux ironless stator PM motor is developed for the application with high dc-link voltage, high-power level, and high fundamental frequency. A new and simple control strategy of the inverter with output inductor–capacitor (LC) filter is studied to achieve a well steady and dynamic performance for driving ironless stator PM motors. The dual closed loop of the phase current of the motor and the branch current of capacitors ensures the stability and torque control of the system. Due to the dual-loop current regulator, the maximum torque per ampere control is achieved. Meanwhile, the sinusoidal current with low harmonic content injected into the armature winding is of great significance for improving the performance of ironless stator AFPM motor. It proves that the development of the power circuit topology and effective control method provides an available solution for ironless stator motors or high-speed motors with small inductance.
The strategy of user experience design driven by big data

In this paper, the algorithm of late factor model is used to calculate the satisfaction degree of the target user to the product to be tested by using the known conditions obtained from big data, so as to design the most ideal user experience. Taking the user experience of app as an example, some known user experience values are hidden, and then the calculated values are calculated by the algorithm. Through the comparison of the two, the minimum relative error between the predicted user experience and the real value is only 0.617%, and the maximum is no more than 2.957%.
Effect of Non-genetic Factors on Production Traits of Phule Triveni Cattle

Increased pressure for intensified milk production and simultaneous rise in environmental temperature due to global warming has increased the thermal load on dairy animals. Elevated environmental temperature combined with high humidity causes discomfort and escalates the stress level in animals which is reflected in terms of reduced physiological and metabolic activities that results in reduced growth, drop in production and reproduction in farm animals. Heat stress is one of the most vital environmental stressor that has negative impact on milk yield, milk composition (fat%, SNF%, protein % etc.). Construction of Temperature Humidity Index (THI) by combining several climatological parameters like dry bulb, wet bulb temperature along with relative humidity to quantify the thermal stress is one of the best methods to assess heat stress on animals. Several research workers have reported that there exists a threshold THI value, above which the negative effects of heat stress is observed on animals. Mitigation strategies to combat heat stress includes selection of heat tolerant animals and their breeding, inclusion of heat tolerance as a trait while constructing selection index, providing International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 10 Number 01 (2021) Journal homepage: http://www.ijcmas. com
Understanding Adolescents Experiences with Gender-Based Norms in India through a Participatory Storytelling Game

ABSTRACT In India, gender inequalities have deleterious effects on reproductive health outcomes among women and girls. This study used an interactive storytelling game as a qualitative data collection approach to learn about adolescents’ experiences and societal norms regarding gender. Eight sessions were conducted with a total of 30 girls and 10 boys (ages 15–17). Participants created characters, themes, and locations for the stories and shared experiences about gender through their characters. Sessions were recorded, transcribed, translated, and analysed for emergent themes. Themes included: interest in and prevalence of romantic relationships among adolescents, stigma associated with adolescent relationships and its influence on individual norms, and girls’ experiences of harassment. Findings suggest that the use of a qualitative storytelling game is one way to understand the experiences of adolescents around sensitive issues such as gender. They also suggest a need for interventions focused on improving gender attitudes among adolescents, fostering parent–child communication, and strengthening the policy response to girls’ harassment.
Rare Earth Magnetic Materials Surface Defect Recognition via Multi-Scale Residual Neural Network

The work aims to solve the problems of low detection accuracy, and poor reliability of magnetic material surface defects. A lightweight multi-scale feature ResNet (LMSF-ResNet) method was proposed in this paper. The method reduces the calculation and parameters of the neural network by using group convolutions and channel split operator and merging features from different branches of distinct scales by using the multi-scale model’s structure. The algorithm employs the strategy of using the channel attention model to improve accuracy at the same time. This paper takes the defect images of rare earth magnetic materials as an example to verify its effectiveness. The results show that the method has higher detection accuracy and stronger stability, and can be widely used to accurately detect surface defects of magnetic materials.