Miracle-dz/UniFAR-FTUs huggingface dataset:
Modelling and analysis of a synchronous machine-emulated active intertying converter in hybrid AC/DC microgrids

The integration of renewable energy resources into the electrical distribution systems faces several stability challenges especially in the low inertia conditions. To address these issues, this study introduces a virtual synchronous machine (VSM) control strategy for the intertying power electronic converters in the autonomous AC/DC hybrid microgrids. It is shown that the VSM-based controller improves the system damping following the frequency disturbances and the AC/DC voltage variations. Moreover, a power management regulation topology is implemented in the active intertying converter to achieve an accurate bidirectional power flow under different loading conditions. A small-signal state-space model for the entire hybrid system is developed to assess the overall system performance. Time-domain simulation results under the PSCAD/EMTDC environment are also presented to investigate the effectiveness of the proposed techniques. The introduction of the VSM control for the intertying converters in the hybrid AC/DC microgrids provides a significant improvement in the dynamic performance and increases the robustness against external disturbances.
Design of broadband antenna elements for a low‐frequency radio telescope using Pareto genetic algorithm optimization

We apply Pareto genetic algorithm (GA) optimization to the design of antenna elements for use in the Long Wavelength Array (LWA), a large, low‐frequency radio telescope currently under development. By manipulating antenna geometry, the Pareto GA simultaneously optimizes the received Galactic background or “sky” noise level and radiation patterns of the antenna over all frequencies. Geometrical constraints are handled explicitly in the GA in order to guarantee the realizability, and to impart control over the monetary cost of the generated designs. The antenna elements considered are broadband planar dipoles arranged horizontally over the ground. It is demonstrated that the Pareto GA approach generates a set of designs, which exhibit a wide range of trade‐offs between the two design objectives, and satisfy all constraints. Multiple GA executions are performed to determine how antenna performance trade‐offs are affected by different geometrical constraint values, feed impedance values, radiating element shapes and orientations, and ground conditions. Two different planar dipole antenna designs are constructed, and antenna input impedance and sky noise drift scan measurements are performed to validate the results of the GA.
Consensus-Based Distributed Coordination Between Economic Dispatch and Demand Response

In this paper, a novel dynamic coordination problem between economic dispatch and demand response is formulated by taking the battery energy storage systems into consideration, which aims at making effective use of the power energy and mitigating the impact of the intermittency of the renewable energy resources. The formulated problem is equivalently modeled as a social welfare maximization problem, then a distributed coordination algorithm is developed by integrating the average consensus protocol and alternating direction method of multipliers. Sufficient conditions under which the developed algorithm converges are derived. It is also shown that the commonly used quadratic cost and utility functions can guarantee the convergence. The developed algorithm efficiently guarantees the electricity market equilibrium and maximizes the social welfare over each time slot. Moreover, the algorithm maintains instantaneous power balance, which eliminates the need of extra algorithms to track the power mismatch between the supply and demand sides. Finally, the performance and scalability of the proposed algorithm are verified through a set of case studies on a simplified model of the Australian power grid, in which the effects of the renewable generation and power loss are also discussed.
Digital Load Adaptive Control for Resonant Inverter for Surface Metal Heating

Induction heating is a well-known technique to produce very high temperature at reduced time for well specific applications such as in melting steel, brazing, and hardening. Series resonant converter proves to suit better to surface metals treatment and hardening. Efficiency reaches its highest level in the resonant mode, where switching losses are minimized by operating the IGBT at a resonant frequency for switching at the zero crossing point of current or voltage. However, as heat rises during hardening metal process, the metal exhibits parameter variations, which ultimately affects the overall system performances. Therefore, the inverter system with an effective load-adaptive control circuit with short response time is highly sought to let the system operate efficiently regardless of any variation of the load parameters. This will bring back the system under resonant mode to allow the system to operate at its optimal performances. In this paper, an analysis of a series resonant inverter performance is conducted, in which the control frequency is monitored and continuously adapted using phase-locked loop aimed to metal hardening. The control technique is characterized by its flexibility, low cost hardware, and short response time. The system comprises analogue and digital circuits, microcontroller based. The experimental bench is built for the purpose in the range of 1 to 5 kW power, with 01 to 50 kHz operating frequency. First, the process principle and the design procedure of the inverter system with the proposed control scheme are described through modelling and simulation. Then, experimental results are presented to show the validity of this technique, and to evaluate the system performances.
Influence of selected factors on the prevalence of cognitive disorders and depression among patients over 60 years of age

– study – data – – data interpretation, – – Background. dementia is defined as a gradual loss of intellectual capabilities and cognitive functions that may impair daily functioning. early diagnosis seems essential for proper treatment and slowdown of disease progression. Multimorbidity leading to polypharmacotherapy need a complex dosage regimen. in patients with dementia, this is a real challenge. Objectives. to determine the incidence and the risk factors of cognitive disorders and depression among patients over 60 years of age. Material and methods. a group of 115 patients over 60 years of age attending primary care and geriatric ward in Lodz were enrolled in this observational study (75 women – 65.2%; 40 men – 34.8%). the patients underwent MMse, gds and cdt tests and completed a questionnaire concerning age, place of residence, marital status, medical history and family history of dementia. the data collected was statistically analysed using statistica 10.0 (statsoft inc, usa). Results. education level in the group: 20% basic, 51.3% secondary, 28.7% higher education. 45.2% were married, 54.6% were single. 61.7% had hypertension, 27.0% – diabetes, 9.6% – atherosclerosis, and 9.6% had a stroke in the past. Mean score of gds was 9.2 points; MMse 25.7; cdt 1.9. a higher score in gds correlated with a worse result of MMse ( p < 0.05). age was an important factor in the group with basic education; it affected: MMse (lower) and cdt (higher) results. Male patients achieved a higher score in MMse ( p = 0.0399) and lower in cdt ( p = 0.0345). the MMse result was higher ( p = 0.0454) and the cdt result was lower ( p = 0.0230) in mar-ried individuals. the number of diseases correlated with the gds score ( p < 0.05). Conclusions. Patients predisposed to dementia were: older females, patients with basic education, those who were single, mostly widowed. Family physicians should pay special attention to such patients and be aware of early symptoms of dementia. cooperation with the patient’s family or caregivers seems crucial to provide proper care and improve patient compliance.
The knowledge misalignment between engineering and secondary school technology education

The majority of secondary school engineering education is delivered within Design and Technology. There is a misalignment between the background subject knowledge of these teachers and the subject knowledge of engineering. This paper presents key findings from the London Schools Excellence Fund Reference: LSEFR1210 study where teachers have difficulties in utilising science and math-based resources. This has implications for pupils’ receiving a desirable engineering education in school, which may be a factor in the number of pupils choosing to study engineering and technology beyond compulsory education.
A 2nd order fully-passive noise-shaping SAR ADC with embedded passive gain

An opamp-free solution to implement 2nd order noise shaping in a successive approximation register analogto-digital converter is presented. This 2nd order fully-passive noise shaping, which has high power efficiency, is realized by charge-redistribution. A gain of 2 is required in this proposal which is realized by a passive method to save power. A prototype chip is fabricated in a 65-nm CMOS process occupying a core area of 0.0129 mm. An ENOB of 10.5bit is achieved at 64-MHz sampling frequency based on an 8-bit CDAC architecture when the OSR is 4. It dissipates 252. 9μW from a 1.0-V supply and achieves a Walden FoM of 10.9 fJ/conv. -step and a Schreier FoM of 169.9 dB.
Compositionality: its historic context

The ideas of contextuality and of compositionality were discussed at the beginnings of the nineteenth century in Germany, but the contextuality was the significant one. In 1880, Wundt published a work called Logik, comprising two volumes, which evolved to the German standard text on logic. Gottlob Frege, a German mathematician, logician, and philosopher, presented (in 1884) contextuality as his basic principle; his solution of the foundational problems is based upon it, he meant the principle literally, and would have rejected compositionality. He introduced the distinction between sense and reference in his paper, “Uber Sinn und Bedeutung” in 1892. He did not accept the notion the reference of an expression; instead, his approach is based upon the notion the reference of an expression in a given sentence. In the period before Tarski, logics were regarded as deductive theories. Tarski made an important step with his paper on “Truth in formalized languages,” in which he characterized the notion of a true sentence in a purely semantic way.
Using Gamification for Adopting Scrum

Despite the wide adoption of agile methodologies, software development teams still struggle to meet time, budget and scope, partially due to practitioners’ lack of motivation to apply agile techniques in practice. In this paper, we present a software tool based on gamification to make Scrum techniques more fun and engaging for practitioners. This paper presents results of the first iteration of a larger research effort that follows the Design Science Research methodology, where a prototype was developed as a Jira Software app and evaluated with a Scrum team in practice. Results suggest that the team’s Scrum practices slightly improved after using the app. Quantitative analysis and a set of interviews with the team members allowed to understand that the proposal should be more challenging and the score system more customized. Hereafter the app will be improved based on received feedback.
Metric Units, Conversion Factors and Nomenclature in Nutritional and Food Sciences

I , Terms of Reference ( I ) T o consider the effects which the change to the metric system in the United Kingdom will have on the application of nutritional sciences and food science to problems of human and animal feeding. (2) To make recommendations to the British National Committee for Nutritional Sciences on the conversion factors, nomenclature and units to be adopted for general use in making the change to the metric system.
Resistive switching characteristics of interfacial phase-change memory at elevated temperature

Interfacial phase-change memory (iPCM) devices were fabricated using W and TiN for the bottom and top contacts, respectively, and the effect of operation temperature on the resistive switching was examined over the range between room temperature and 200 °C. It was found that the high-resistance (RESET) state in an iPCM device drops sharply at around 150 °C to a low-resistance (SET) state, which differs by ∼400 Ω from the SET state obtained by electric-field-induced switching. The iPCM device SET state resistance recovered during the cooling process and remained at nearly the same value for the RESET state. These resistance characteristics greatly differ from those of the conventional Ge–Sb–Te (GST) alloy phase-change memory device, underscoring the fundamentally different switching nature of iPCM devices. From the thermal stability measurements of iPCM devices, their optimal temperature operation was concluded to be less than 100 °C.
GAMIFICATION INTERACTION FEATURES IN LANGUAGE LEARNING APPS, BRAND ENGAGEMENT, AND BRAND-CONSUMER RELATIONSHIP QUALITY

Gamified interactions are extensively used in Language learning apps to make learning languages easier. Gamified interactions are the result of the game-like feature being used to co-create compelling experiences. However, there exists a lack of empirical studies on the efficiency of gamified interaction on brand engagement and brand relationships, which are the main constructs for assessing the métier and worth of the brand in the contemporary framework of language learning apps. The current study aims to fill the research gap by exploring the associations between gamified interaction features in Language learning apps, brand engagement, and brand-consumer relations quality parameters, namely Trust, Commitment and Satisfaction. The proposed conceptual model was validated utilizing the Partial least squares (PLS) structural equation model (SEM) with SmartPLS, using data collected from 152 respondents in March 2022 through an e-questionnaire. The findings showed that interacting with gamified achievement features influenced brand engagement positively and significantly; absorption and social interactions had a minor positive but negligible influence on brand engagement. Brand engagement exerted an affirmative substantial influence on Brand Trust, Commitment, and Satisfaction. Trust has a strong influence on Commitment; Commitment has an affirmative effect on brand satisfaction. These findings imply that gamified interactions may positively influence brand engagement and enhance brand-consumer relations quality in the context of Language learning apps. The theoretical and practical implications were discussed.
3D Reconstruction and Intelligent Digital Conservation of Ancient Buildings Based on Laser Point Cloud Data

With the wide application of computer technology, how to carry out digital modeling and virtual simulation for the protection of ancient buildings has become a new research eld. e combination of LiDAR (LiDAR) point cloud data can signicantly improve the performance of 3D spatial information extraction of buildings. To improve the level of ancient building conservation, this article uses LiDAR point cloud data to collect ancient building data, extracts 3D spatial location information from multisource remote sensing optical stereo images, restores 3D spatial structure information of buildings from LiDAR point cloud data, conducts optimized topology research work, jointly extracts 3D spatial information of buildings with structural constraints, and compares the collected data with the original data. e research results show that the traditional data collectionmethod has a large error of about 10%, while the data collected by LiDAR (LiDAR) point cloud data in this article is close to the original data. e error is around 3%, which can well complete the 3D reconstruction and protection of ancient buildings.
Analyzing Spatial Location Preference of Urban Activities with Mode-Dependent Accessibility Using Integrated Land Use–Transport Models

Accessibility is the ease of reaching opportunities (goods, services, activities, and destinations). Accessibility of desirable locations such as households and commercial locations, is typically scaffolded by land use patterns and transportation infrastructure. It can reflect people’s travel convenience, cities’ viability, sustainability, and mitigate the negative effects on the environment and public safety. Consequently, it is recognized as a fundamental principle in urban sustainable development policies worldwide. In the literature, most of the studies have used a static or partially dynamic approach with a single mode such as a car or public transportation by using conventional models. These “static” models assume that household locations are static and that transportation supply and opportunities for social practice activities are fixed in time and space, which can lead to biased or even misleading assumptions in accessibility models. Therefore, the aim of this study is to evaluate the impact of dynamic spatial accessibility through Mode-Dependent Accessibility (MDA) on the location choice behaviors of urban activities such as households and commercialin the City of Wuhan, China. This study employed the Mode-Dependent Travel Demand Model (M-TDM) to measure the impact of short-term MDA on household and commercial activities for the years 2012 and 2015. Additionally, an integrated spatial economic (ISE) model such as PECAS (Production, Exchange, Consumption, Allocation, System) in order to investigate location preferences of urban activities over space and time. Regarding household and commercial location choice, the ISE modeling results revealed that households and commercial activities are sensitive to MDA, especially using transit. The ISE method predicted that the R2 for household and commercial location choice models was 0.84 to 0.90 for transit-based accessibility, whereas the R2 for logsum-based static models was 0.48 to 0.72. In addition, their findings suggest that highly accessible locations that are well served by auto are more appealing for household and commercial activities. The findings of this study will help urban planners, transportation planners, and policymakers take into account the dynamic nature of short-term MDA when zoning and allocating urban activities and public amenities, instead of using static accessibility.
Modification of testosterone levels with Piptadeniastrum africanum and Cordia plathytyrsa may influence metabolic parameters in Wistar rats

Testosterone supplementation in men regularizes its levels and this is thought to ameliorate body composition and thus metabolic parameters. The aim of this study was to evaluate the effect of methanolic extracts of Piptadeniastrum africanum and Cordia plathytyrsa on serum testosterone level and some parameters of the metabolic syndrome in adult male rats. Methanolic extracts of leaves of C. plathytyrsa and bark of P. africanum were prepared and used for evaluating antioxidant potential by measuring the polyphenolic content (Folin - Ciocalteu method), the ferric reducing antioxidant power (FRAP) and the scavenging effects of extracts on 1, 1-Diphenyl-2-Picrilhydrazyl (DPPH) and 2,2’azinobis(3-ethylbenzotiazoline-6-sulfonic acid) diammonium salt (ABTS) free radicals. Both extracts of C. plathytyrsa and P. africanum (150 and 300 mg/kg.BW) were administered orally to male albino rats of 6 to 7 months old. At the end of an experimentation period that lasted 15 days, they were sacrificed, and their blood collected in tubes with and without anticoagulant for preparation of plasma and serum respectively. The prepared samples were used for the evaluation of their lipid profile (triglyceride and total cholesterol), dihydrotestosterone level, antioxidant status (plasma thiols and FRAP), markers of hepatic toxicity (transaminases activities and serum proteins) and a marker of renal toxicity (creatinine). The results obtained showed that both extracts increased testosterone levels as treated rats were found to have significantly higher testosterone levels (by up to 93%) (p<0.05) compared to control. Both extracts did not induce oxidative stress. They also did not modify total cholesterol, glycemia, serum protein levels and evaluated markers of hepatic toxicity. Contrarily, rats treated with P. africanum had higher triglyceride levels (p<0.05) compared to control. Those treated with the higher dose of C. plathytyrsa had higher levels of creatinine. From the results obtained it was concluded that methanolic extract of C . plathytyrsa enhanced testosterone synthesis but did not influence all metabolic parameters evaluated.
C OMMUNICATION E FFICIENT D ISTRIBUTED SGD

We study communication efﬁcient distributed SGD algorithms. Synchronized SGD requires signiﬁcant network bandwidth for gradient exchange and is not robust to node slowdowns and network delays. Thus, many strategies have been proposed to mitigate both synchronization and network costs to speed-up training. We propose two new communication efﬁcient algorithms: (1) staggered EASGD and (2) signiﬁcance compression . Staggered EASGD is an optimization to elastic-averaging SGD that more efﬁciently utilizes available network bandwidth. Signiﬁcance compression is a gradient sparciﬁcation method that compresses the size of gradients before transmission. We evaluate our methods on vision and NLP benchmarks and ﬁnd 0.1-8.8 × and 0.9-1.8 × increase in training throughput for staggered EASGD and signiﬁcance compression respectively when compared to synchronized SGD on commodity 1Gbps network links with minimal performance degradation. We additionally evaluate the performance of both the EASGD algorithm and approximate-synchronous parallel synchronization model on reinforcement learning workloads.
Review Paper on Optimal Location of Electric Vehicle Charging Station

Fossil fuel depletion and increase in global warming provides wide scope for alternative transport facilities. Electric vehicles (EV) novel features and development leads to increase in EV customers. Also the rapid promotions of EVs done by government in order ensure sustainability and clean environment leads to increase in need of charging facilities fulfilling the demand. The charging infrastructure must be located at appropriate location to reduce the congestion of charging stations (CS) at a particular place and scarcity at other place. The inappropriate location of CS can also have some adverse consequences on power grid. Thus the optimal placement of CS is most necessary for smooth and proper operation of system. In this paper, the review of research progress and the problems existing is done on optimal location of electric vehicle charging station (EVCS) with the aspect of objective variables, also the mathematical models and algorithm.
Tooth eruption and caries activity: is it a risk factor in adolescents?

Objective: to describe the behavior, distribution, and severity of lesions on the occlusal surfaces of the second permanent molars. Relate it to its stage of eruption and presence of activity in the rest of oral cavity. Methodology: A descriptive study was conducted in a convenience sample of 100 adolescents of both sexes (mean age = 13.39 ± 0.94 years). The parents answered a questionnaire on socioeconomic characteristics and general health, and the adolescents, one on food and hygiene habits. Two calibrated examiners recorder caries according to ICDAS II on examined all all the dental surfaces. They also mapped the occlusal surface and eruption stage of the second permanent molars. Results: the prevalence of caries was 97%, and the extension (modified DMFT) was 8.45 ± 5.10. Eighty-two percent of the adolescents with caries experience had active lesions, and 62% of those with caries had lesions only on the occlusal surfaces of the second permanent molars. A higher prevalence of active caries lesions was observed in eruption stages I and II of the second permanent molars. The most affected sites were the central and mesial fossa and the central and distal fossa. Conclusions: Active molar eruption entails a risk stage that should be considered when prioriti-1