Miracle-dz/UniFAR-FTUs huggingface dataset:
Induction motor rotor time constant inverse estimation using neural network

This paper proposes a new estimator for induction motor rotor time constant inverse basing on a simple hidden layer neural network. An online algorithm is developed for the training of the suggested neural network estimator parameters. This algorithm use the model reference principle by comparing measured and estimated stator currents. So, beside the measured currants which present the reference model (ideal model), it suggested to reconstitute these currants via the motor model which present the actual model (real model). thereafter the errors between measured and estimated currants are exploited for the neural network parameters adaptation. The obtained results show that beside its simplicity, the proposed estimator provides satisfactory performances even at very low speeds.
A Particle Swarm Algorithm-Guided Psychological Stress Analysis to ECG Signal Collecting

In recent years, effective recognition and accurate assessment of psychological stress have been the focus of research. Because of the objectivity and authenticity of physiological signals, psychological stress recognition from physiological signals has become an important research content in the field of psychological stress recognition. As an important physiological signal, electrocardiogram has been proved to contain reliable physiological response to psychological stress. This paper designs a psychological stress analysis algorithm based on particle swarm optimization (PSO). The wavelet transform algorithm was used to filter and detect the ECG signal. RR interval was calculated from the detected R wave to obtain the ECG signal. An improved particle swarm optimization (PSO) algorithm was proposed, which introduced a particle swarm optimization model with contraction factor to eliminate the speed limit and realize the detection of psychological stress. Experimental results show that the recognition rate of the improved particle swarm optimization algorithm is significantly higher than that of the traditional method, which shows the effectiveness of the algorithm. On the one hand, the research of this paper has optimized the algorithm, which has theoretical significance; on the other hand, it can provide reference for the real psychological stress test, which has practical significance.
Management Practice of Women in Entrepreneurship Activities of Micro Enterprise Running in Parbat District, Nepal

Micro-enterprises are small-scale businesses run by low-income people with government or non-government assistance. It helps people manage their daily requirements by improving their quality of life and adding value to the local economy in underdeveloped countries. They provide many small-scale jobs, raise income, increase purchasing power, and strengthen the country's economy. The major goal of this research was to find out how women micro-entrepreneurs may run their businesses as under-represented and seemingly stigmatized minority business owners. Micro businesses make managerial decisions based on individual tastes and priorities. The study discovered that the true meaning of micro-enterprise management goes beyond the standard business semantics. The study included 384 women from the Parbat district of Nepal who worked in micro-enterprises. According to the study, the participation of family members has a substantial impact on the success of a micro business. The results suggest that 99 percent of the women agreed the involvement of family members and supporters to run the enterprise. Similarly 74.50 percent women agreed that they received training to run their enterprise.
Dissolution test for oral suspension: an overview about use and importance

of dissolution tests for oral suspensions registered in Brazil and the USA. After consulting literature since 1994, a paucity of information about dissolution methods for suspensions was detected. It makes it difficult to establish the most appropriate test parameters. In January, 2019, there were 46 drugs registered in Anvisa (Brazil) as oral suspension, being 47 reference, 173 generic and 114 interchangeable similar (IS) medicines; while in the USA, 90 drugs were registered as oral suspension by FDA, 235 Abreviatted New Drug Application and 111 New Drug Application medicines. Out of 46 and 90, only six and 15 drugs as oral suspension had a pharmacopeial dissolution test, corresponding to 70 (20.9%) and 82 (23.7%) products in Brazil and the USA, respectively. Dissolution studies were found for 17 drugs as oral suspension in the non-compendial literature. Dissolution test conditions were established to few marketable oral suspension drugs, most of which are BCS class II or IV. Thus, investing in dissolution studies could subsidize the registration of these products by regulators, especially for generic and IS drugs, by comparing dissolution profiles, and predicting their in vivo behavior to avoid exposure of healthy individuals to clinical research. Clobazam, Dextromethorphan polistirex, Eltrombopag olamine, Erythromycin ethylsuccinate, Nitazoxanide, Nitisinone, Omeprazole magnesium, Perampanel, Roxithromycin, Sulfisoxazole acetyl. Sucralfate is locally acting drug.
Assessment of Aflatoxins production and its various Control strategies: A Review

Mycotoxins specifically the aflatoxins contaminate about 25% of the agricultural products in the world. They effect greatly the growth rate, feed intake, and feed conversion ratio. There is a great economical loss to farmers due to loss of food values and effecting human as well as animal health. The different preventive measures are in use to control fungal contamination such as chemicals (acids, bases, and salts), HSCAS ,zeolite polymers, activated charcoal and yeast with variable findings. Fraction of yeast sludge has proved to minimize the adverse effects of aflatoxicosis due to the presence of manno-oligosaccharides in its cell wall. The present review highlights the remedial measures particularly yeast sludge to control aflatoxicosis.
A Real-Time Recognition System of Driving Propensity Based on AutoNavi Navigation Data

Driving propensity is the driver’s attitude towards the actual traffic situation and the corresponding decision-making or behavior during the driving process. It is of great significance to improve the accuracy of safety early warning and reduce traffic accidents. In this paper, a real-time identification system of driving propensity based on AutoNavi navigation data is proposed. The main work includes: (1) A dynamic data acquisition method of AutoNavi navigation is proposed to obtain the time, speed and acceleration of the driver during the navigation process. (2) The dynamic data collection method of AutoNavi navigation is analyzed and verified through the dynamic data obtained in the real vehicle experiment. The principal component analysis method is used to process the experimental data to extract the driving propensity characteristics variables. (3) The fruit fly optimization algorithm combined with GRNN (generalized neural network) and the feature variable set are used to build a FOA-GRNN-based model. The results show that the overall accuracy of the model can reach 94.17%. (4) A driving propensity identification system is constructed. The system has been verified through real vehicle test experiments. This paper provides a novel and convenient method for building personalized intelligent driver assistance systems in practical applications.
Heat and Mass Transfer on Unsteady Magnetohydrodynamics (MHD) Convective Flow of Casson Hybrid Nanofluid Over a Permeable Media with Ramped Wall Temperature

In this investigation, the heat and mass transfer on unstable MHD convective flow of a non-compressible gelatinous electrical performing non-Newtonians Cassons hybrid nanoliquid past an unbounded exponential accelerated perpendicular stirring spongy surface underneath the influences of slips velocity has been discussed. H2O as well as ethyleneglycol mixtures have been taking as the fundamental Cassons fluid. The stable homogeneous magnetic domain was applied underneath the presumption of least magnetic Reynold numbers. The ramped walls temperatures as well as time changing concentrations near the surface were constructed into consideration. The initial ordered systematical chemical reacting and heat absorptions were also considering. Silver (Ag) in addition to CuO nanoparticles were spread in fundamental liquid H2O as well as ethylene-glycol combined to be produced as hybrids nanoliquid. The Laplaces transformations techniques are applied on the in-dimensional leading equations for the closed forms solution. The equations for the non-dimensionalized shear stresses, rate of temperature along with accumulation transport were also obtained. The graphical solutions are represented to scrutinized the impacts of physically parameters on the most important flow features. The computational quantities of the shear stress, rates of heat as well as mass transport near the surface were tabulate with the distinct entrenched parametrics. The resulting velocity was growing by an enhancing in heat as well as concentrations buoyancy strengths, while slips parameter has opposite outcome on this for case of ramped walls temperatures. The current problems have most appliances by magnetic material processes, electrical performing polymers mechanics, as well as purifications of molten metals with non-metallics.
Making and negotiating value: design and collaboration with community led groups

ABSTRACT Value in collaborative design research and practice can be understood fundamentally as relationships, materials, processes, contexts, and outcomes that are subjects of and for negotiation. We argue for conceptions of value that move beyond traditional ‘outcomes’ based measurements to reimagine and rearticulate value itself as co-created, emerging from negotiation, relationality and immersion in specific contexts. These understandings of value, we argue, are not rooted in or always knowable through designers’ experiences, even as designers participate in creating them. Using case studies from our research we suggest that value in design collaboration emerges as a question: value to whom, and to what end? We propose that addressing these questions ethically through co-design requires actively engaged, grounded work with collaborators based in three principles: being present for the work, participant making, and co-creating capacity for collaborators to ‘go off and do their thing’.
Event Sponsorship and Brand Loyalty: Mediating Role of Attitude Toward Sponsored Events and Sponsoring Brand

This research is to investigate the impact of event sponsorship on consumers’ brand loyalty through attitudes toward sponsoring brand and sponsored event. Structural equation modelling (SEM) was conducted to test hypotheses with the survey data of 282 Vietnamese youth who have ever watched and followed the Rap Viet 2020 event. The findings indicated that congruity between event image and sponsoring brand image, self-congruity with sponsoring brand image, and attitude towards sponsored event had a significant positive effect on attitude towards sponsoring brand. Attitude towards sponsoring brand, self-congruity with sponsoring brand image, and self-congruity with event image had a significant positive effect on brand loyalty. Congruity between event image and sponsoring brand image, self-congruity with sponsoring brand image, and self-congruity with event image had a significant positive effect on sponsored event attitude. The congruity between event image and sponsoring brand image, self-congruity with sponsoring brand image influence sponsoring brand loyalty by mediating the effects of event attitude and sponsoring brand attitude. Self-congruity with event image influenced sponsoring brand loyalty by mediating event attitude and sponsoring brand attitude. Based on the research’s empirical analysis, some implications were proposed to help sponsor and sponsee managers on how to improve the effectiveness of sponsorship activities.
A Review on Harmonic Reduction Techniques in Three Phase Power Generation in PV Solar Plants

Due to higher demands of electricity, power generations with low cost are most essential needs of the world. Photovoltaic based power plant implementations are cost effective for long term power generations due to technological advancements. The harmonic reduction is most important need while establishing grid connected PV solar power plants. This paper introduces the review of various techniques for removing harmonics in PV solar power plant. The addressed techniques are studied based on their robustness, implementation complexities and performance characteristics.
Desain Dan Implementasi Scada (supervisory Control And Data Acquisition) Pada Sistem Boiler Drum Menggunakan Plc Omron

Abstrak Critical plant seperti Boiler Drum yang umum digunakan pada industri pengolahan gas, dan pembangkit listrik membutuhkan sistem pengendalian yang safety baik untuk operator maupun sistem plant itu sendiri. Penggunaan jaringan WAN pada sistem SCADA memungkinkan operator memantau plant dari jarak jauh, namun informasi dapat diterima dan dikirimkan secara realtime dan kontinu. Sistem SCADA yang dibangun mencoba mensimulasikan kondisi sebenarnya dari critical plant tersebut dengan menggunakan BDT921 Boiler Drum Simulation Process. Perancangan yang dilakukan meliputi pembuatan komponen SCADA yakni HMI (Human Machine Interface), RTU (Remote Telemetry Unit) menggunakan PLC Omron CP1H dan Sistem Kendali. HMI berupa aplikasi web-based memberikan fitur bagi operator untuk memantau dan mengendalikan komponen BDT921 Boiler Drum dan dapat diakses melalui jaringan WAN. Ujicoba sistem HMI untuk mengendalikan level pada Boiler Drum menggunakan pengendali PI menghasilkan rata-rata overshoot 20.1% dan error steady state 0.002 % untuk Kp = 4 dan Ki =0.288. Sistem WAN berupa mode 3G yang digunakan sebagai jembatan dalam sistem SCADA bekerja dengan unjuk kerja yang stabil dengan rata-rata throughput 1kpbs dan RTT delay 150ms.
Generalized Behavior Framework for Mobile Robots Teaming With Humans in Harsh Environments

Industrial contexts, typically characterized by highly unstructured environments, where task sequences are difficult to hard-code and unforeseen events occur daily (e.g., oil and gas, energy generation, aeronautics) cannot completely rely upon automation to substitute the human dexterity and judgment skills. Robots operating in these conditions have the common requirement of being able to deploy appropriate behaviours in highly dynamic and unpredictable environments, while aiming to achieve a more natural human-robot interaction and a broad range of acceptability in providing useful and efficient services. The goal of this paper is to introduce a deliberative framework able to acquire, reuse and instantiate a collection of behaviours that promote an extension of the autonomy periods of mobile robotic platforms, with a focus on maintenance, repairing and overhaul applications. Behavior trees are employed to design the robotic system’s high-level deliberative intelligence, which integrates: social behaviors, aiming to capture the human’s emotional state and intention; the ability to either perform or support various process tasks; seamless planning and execution of human-robot shared work plans. In particular, the modularity, reactiveness and deliberation capacity that characterize the behaviour tree formalism are leveraged to interpret the human’s health and cognitive load for supporting her/him, and to complete a shared mission by collaboration or complete take-over. By enabling mobile robotic platforms to take-over risky jobs which the human cannot, should not or do not want to perform the proposed framework bears high potential to significantly improve the safety, productivity and efficiency in harsh working environments.
India's physics experience

The twentieth century saw revolutionary developments in the physical sciences. Its consequences for economic and lifestyle change are reverberating across the world, starting from its North. While life sciences are the obvious centres of attention in the beginning of this century, physics continues to be vital in science and technology and there is active engagement with questions such as its future and indeed of science itself. In this article, while I do not touch upon the last question, which is the most difficult and significant, I will recount the Indian Physics experience of the last century. Some features of the present state are pointed out, and a few suggestions for change made. This essay is clearly a personal view.
On the design of high-speed energy-efficient successive-approximation logic for asynchronous SAR ADCs

This paper analyzes the power consumption and delay mechanisms of the successive-approximation (SA) logic of a typical asynchronous SAR ADC, and provides strategies to reduce both of them. Following these strategies, a unique direct-pass SA logic is proposed based on a full-swing once-triggered DFF and a self-locking tri-state gate. The unnecessary internal switching power of a typical TSPC DFF, which is commonly used in the SA logic, is avoided. The delay of the ready detector as well as the sequencer is removed from the critical path. A prototype SAR ADC based on the proposed SA logic is fabricated in 130 nm CMOS. It achieves a peak SNDR of 56.3 dB at 1.2 V supply and 65 MS/s sampling rate, and has a total power consumption of 555 μW, while the digital part consumes only 203 μW.
New Perspectives on Sex Steroid and Mineralocorticoid Receptor Signaling in Cardiac Ischemic Injury

The global burden of ischemic heart disease is burgeoning for both men and women. Although advances have been made, the need for new sex-specific therapies targeting key differences in cardiovascular disease outcomes in men and women remains. Mineralocorticoid receptor directed treatments have been successfully used for blood pressure control and heart failure management and represent a potentially valuable therapeutic option for ischemic cardiac events. Clinical and experimental data indicate that mineralocorticoid excess or inappropriate mineralocorticoid receptor (MR) activation exacerbates ischemic damage, and many of the intracellular response pathways activated in ischemia and subsequent reperfusion are regulated by MR. In experimental contexts, where MR are abrogated genetically or mineralocorticoid signaling is suppressed pharmacologically, ischemic injury is alleviated, and reperfusion recovery is enhanced. In the chronic setting, mineralocorticoid signaling induces fibrosis, oxidative stress, and inflammation, which can predispose to ischemic events and exacerbate post-myocardial infarct pathologies. Whilst a range of cardiac cell types are involved in mineralocorticoid-mediated regulation of cardiac function, cardiomyocyte-specific MR signaling pathways are key. Selective inhibition of cardiomyocyte MR signaling improves electromechanical resilience during ischemia and enhances contractile recovery in reperfusion. Emerging evidence suggests that the MR also contribute to sex-specific aspects of ischemic vulnerability. Indeed, MR interactions with sex steroid receptors may differentially regulate myocardial nitric oxide bioavailability in males and females, potentially determining sex-specific post-ischemic outcomes. There is hence considerable impetus for exploration of MR directed, cell specific therapies for both women and men in order to improve ischemic heart disease outcomes.
Traditional Uses of Animals in the Himalayan Region of Azad Jammu and Kashmir

Background: The use of animals and animal-derived products in ethnopharmacological applications is an ancient human practice that continues in many regions today. The local people of the Himalayan region harbor rich traditional knowledge used to treat a variety of human ailments. The present study was intended with the aim of examining animal-based traditional medicine utilized by the population of the Himalayan region of Azad Jammu and Kashmir. Methods: Data were collected from 2017 to 2019 through individual and group interviews. Data on traditional uses of animal products were analyzed, utilizing following indices such as the frequency of citation, use value, relative importance, similarity index, principal component analysis, and cluster analysis to find the highly preferred species in the area. Results: Ethnomedicinal uses of 62 species of vertebrates and invertebrates were documented. Flesh, fat, bone, whole body, milk, skin, egg, head, feathers, bile, blood, and honey were all used in these applications. The uses of 25 animals are reported here for the first time from the study area (mainly insects and birds, including iconic species like the kalij pheasant, Lophura leucomelanos; Himalayan monal, L. impejanus; and western tragopon, Tragopan melanocephalus). The diversity and range of animal-based medicines utilized in these communities are indications of their strong connections with local ecosystems. Conclusion: Our results provide baseline data valuable for the conservation of vertebrate and invertebrate diversity in the region of Himalayan of Azad Jammu and Kashmir. It is possible that screening this fauna for medicinally active chemicals could contribute to the development of new animal-based drugs.
AR-Aided Smart Sensing for In-Line Condition Monitoring of IGBT Wafer

This paper describes an augmented reality (AR)-aided smart sensing technique for in-line condition monitoring of insulated-gate bipolar transistor (IGBT) wafers. A series of signal processing algorithms are applied for enabling sensor intelligence. Based on electromagnetic infrared–visible fusion (IVF), a supplementary palpable three-dimensional thermography layer is integrated with an IGBT wafer in real world environment. Before the IVF, independent component analysis is implemented to identify defects in the wafer. The proposed AR-aided smart sensing technique enhances user's perception and interaction between the industrial systems and the surrounding world. In contrast to conventional sensor techniques, it provides nondestructive testing and evaluation based high-throughput in-line condition monitoring method. The advantages of noncontact and time efficient of this smart sensing technique potentially bring huge benefit to yield management and production efficiency. AR-aided smart sensing can improve the productivity, quality, and reliability of power electronic materials and devices, as well as in other industrial applications.