Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling and Simulation of Microgrid with Small Hydropower and Wind Generator on Island Operation Mode

A microgrid model with distributed generation including small hydropower source and wind generation source is presented in this paper. The corresponding control strategies for this microgrid are developed. Simulation experiments on island operation mode using Matlab/Simulink software program have been conducted. The simulation results show that the microgrid can operate stably and reliably for load power supply.
An integrated approach to fashion flat sketches classification

Purpose – The purpose of this paper is to study the problem of fashion flat sketches classification and proposed an integrated approach. It aims to propose a fast, reliable method to handle multi-class fashion flat sketches classification problems and lay the foundation for the garment style query in the next step. Design/methodology/approach – The proposed integrated approach adopts wavelet Fourier descriptor (WFD), linear discriminant analysis (LDA) and extreme learning machine (ELM). First, the discrete wavelet and Fourier transform are adopted to extract the shape features of fashion flat sketches. Then, LDA is employed for multi-class classification to reduce dimensionality. Finally, ELM is used as the classifier. Findings – The experimental results show that the classification accuracy of the integrated approach is obtained at about 100 percent. Contrary to the traditional approaches, efficiency and accuracy are the advantages of the present approach. Research limitations/implications – Fashion conc.
Master-equation approach to understanding multistate phase-change memories and processors

A master-equation approach is used to perform dynamic modeling of phase-transformation processes that define the operating regimes and performance attributes of electronic (and optical) processors and multistate memory devices based on phase-change materials. The predictions of the so-called energy accumulation and direct-overwrite regimes, prerequisites for processing and memory functions, respectively, emerge in detail from the model, providing a theoretical framework for future device design and evaluation.
Managing Recurrent Clozapine-Induced Constipation in a Patient with Resistant Schizophrenia

Clozapine is an effective antipsychotic for the treatment of resistant schizophrenia. However, clozapine can lead to serious side effects. One of the most common side effects is constipation and in rare cases ileus, which is associated with a considerable case fatality rate. Our patient exhibited repeated episodes of ileus while being treated with clozapine. We adapted the treatment of the patient in several ways to manage these severe side effects. First, we reduced clozapine dosage by opting for an augmentation strategy of clozapine through paliperidone. Then, we added linaclotide as a nonconventional laxative. We further adapted treatment after the occurrence of a volvulus prompting surgical intervention which revealed a malformation of the intestines' peritoneal attachment. A gastrostomy to facilitate the treatment of any further episode was performed and bethanechol was introduced alongside linaclotide. Follow-up revealed the efficacy of our strategy involving the use of linaclotide in managing the side effects of clozapine in this patient.
Knowledge Product Modelling for Industry: The PROMOTE Approach

Abstract Modelling Knowledge is a necessity in case computer supported processing is applied. Hence the different level of formalisms for knowledge models and the resulting different application areas are discussed since the early stages of knowledge engineering and knowledge management. The cost and benefit calculation of the effort in modelling and the return on investment when applying processing on the models is still an unsolved challenge. The modelling element “Knowledge Product” is introduced by the modelling language PROMOTE® that enables a pragmatic, concrete and quick modelling of knowledge in enterprises. After this step, different KM scenarios for knowledge scorecards, process-orientation, skill management or knowledge-based infrastructure can be realized. This paper introduces the overall model-based approach and focuses on the Knowledge Product element before introducing some lessons learned from research, teaching and commercial projects.
Chinese Tourists’ Perception of the Tourism Image of North Korea Based on Text Data from Tourism Websites

A good tourism image can significantly enhance the travel willingness and experience of international tourists. Most related research focused on the tourism image perception of world-famous cities, but research on the tourism image of North Korea is insufficient. We extracted text data from travel notes and reviews on Chinese travel websites. Subsequently, we used text mining and semantic network analysis to investigate Chinese tourists’ perception of the tourism image of North Korea. The results of the semantic network analysis show that tourism in North Korea consisted mainly of visits to the main cities and famous scenic spots, always with tour guides. Changes in high-frequency words indicated that Chinese tourists’ interest in North Korea’s history has weakened in recent years, and their interest in scenic spots and tourism products has increased. The results of the iterative correlation convergence analysis show that the topics relevant to tourists’ image of North Korea are composed of representative scenic spots, the Korean War, Kaesong city, the Pyongyang City, people’s lives, and other notable experiences. This research makes an empirical case for the study of tourists’ perception of the tourism image of North Korea and provides targeted suggestions for the sustainable development of North Korean tourism.
Design guidelines and models for PMSMs with non‐overlapping concentrated windings

Purpose – The purpose of this paper is to present a general review of design guidelines and analytical models for permanent‐magnet synchronous machines (PMSMs) with non‐overlapping concentrated windings, including the authors' own experience.Design/methodology/approach – The design features specific to three‐phase PMSMs with non‐overlapping concentrated windings are presented following the proposed chronology for the different choices to be made by motor designers.Findings – It is shown that the selections of the stator core manufacturing method, the number of winding layers, the combination of pole and slot numbers, and the geometry of the tooth tips are crucial during the design stage of the machine. Comprehensive lists of references introducing useful analytical models and prototypes presented in literature are provided.Practical implications – By following the guidelines provided in the paper, motor designers are able to avoid the known drawbacks of PMSMs with non‐overlapping concentrated windings, an.
Vibration isolation for parallel hydraulic hybrid vehicles

In recent decades, several types of hybrid vehicles have been developed in order to improve the fuel economy and to reduce the pollution. Hybrid electric vehicles (HEV) have shown a significant improvement in fuel efficiency for small and medium-sized passenger vehicles and SUVs. HEV has several limitations when applied to heavy vehicles; one is that larger vehicles demand more power, which requires significantly larger battery capacities. As an alternative solution, hydraulic hybrid technology has been found effective for heavy duty vehicle because of its high power density. The mechanical batteries used in hydraulic hybrid vehicles (HHV) can be charged and discharged remarkably faster than chemical batteries. This feature is essential for heavy vehicle hybridization. One of the main problems that should be solved for the successful commercialization of HHV is the excessive noise and vibration involving with the hydraulic systems. This study focuses on using magnetorheological (MR) technology to reduce the noise and vibration transmissibility from the hydraulic system to the vehicle body. In order to study the noise and vibration of HHV, a hydraulic hybrid subsystem in parallel design is analyzed. This research shows that the MR elements play an important role in reducing the transmitted noise and vibration to the vehicle body. Additionally, locations and orientations of the isolation system also affect the efficiency of the noise and vibration mitigation. In simulations, a skyhook control algorithm is used to achieve the highest possible effectiveness of the MR isolation system.
PRELIMINARY ASSESSMENT OF ALLELOPATHC EFFECTS OF ROOT AND PLANT RESIDUE LEACHATES ON ROTATIONAL CROPS AND RYEGRASS

Allelopathy is an important mechanism of interference, affecting crop performance. In this preliminary study, the aim was the assessment of allelopathic effects on plant growth and biomass production in a glasshouse. For this evaluation, pot leachates obtained from roots and plant residues from rotational crops and ryegrass was utilised to determine mutual allelopathic interactions. Experiment I was set up to determine effects from root leachates from pots planted to each plant species. For Experiment II, aboveground plant material collected separately, airdried and ground to a coarse powder was utilised to prepare aqueous infusions for testing. At both three and five weeks, root leachates from alfalfa (-18% and -17%) and medic (-10% and 9%) caused a reduction in barley plant height. Wheat dry mass production was reduced by aboveground leachates from barley (-32%), canola (-52%), alfalfa (-76%) and ryegrass (-54%). Alfalfa root leachates caused a reduction in ryegrass plant height (-16%) at three weeks. The current preliminary assessment indicated that lupine, alfalfa and medic contain possible allelochemicals that might be responsible for the inhibition or stimulation exhibited on the growth and biomass mass production of the selected plant series. Future research should elucidate the specific allelopathic compounds in these crop plants and its use as mulches that suppress weeds.
Self-tuning control of Nd:YAG laser coagulation: principle

Several medical and surgical fields are concerned by thermal actions of lasers. However, quantification of laser thermal action on biological tissue is not currently performed at the time of treatment. We propose to use a self-tuning control system, in order to improve the safety and efficiency of medical lasers. This study aims to develop a control strategy for real-time control of coagulation using a millisecond pulsed Nd:YAG laser. Temperature evolution was used as a relevant parameter since it is a key factor for thermal damage. A control law was stated using the dynamic programming algorithm which is an optimization technique based on the Bellman's optimization principle. Because the control law was depending on tissue parameters, a parametric adaptive algorithm, based on the least square method, was developed to estimate in real-time the tissue parameters altered by thermal action. Finally, the structure of the self-tuning algorithm was elaborated by linking the dynamic programming algorithm and the parametric adaptive algorithm. The self-tuning control was tested using computer simulation. The results shows that sequences of pulses are producing well-controlled thermal action and that unexpected perturbations are taken into account.
Carbon-rich composition models of icy moons and dwarf planets

Icy satellites of giant planets and dwarf planets have been described as "water-worlds" with a silicate-sulfide rocky core akin to terrestrial planets, surrounded by a hydrosphere of layers of ice and water. Recent composition models constrained by gravitational data suggest that the largest moons of the outer solar system Titan and Ganymede, and dwarf planet Ceres, contain a large fraction (>15 wt%) of a low-density component identified as refractory carbonaceous matter (CM) derived from insoluble organic matter (IOM). We apply similar compositional models to other Jovian-Saturnian moons and todwarf planets. Results suggest that these bodies may have formed from a chemically homogeneous reservoir. Outer solar system objects (OSSO) would have accreted from a mixture of carbonaceous chondrite and rock-free end-members composed of ices and IOM that condensed beyond the snowline in the outer solar nebulae. The influence of the large CM content on the thermal evolution of OSSO is evaluated and shown to account for low temperatures compatible with both hydrated mineralogies and moderate redistribution of radioactive sources of internal heating.
Surge tank control in a cane raw sugar factory

The control problem that is addressed in this paper is the minimisation of the rate of change of the secondary mixed juice flow in a cane raw sugar factory. This is a particularly important problem since the clarifier's efficiency is reduced by rapid flow rate variations with the ultimate result being a reduction in raw sugar quality. Previous techniques, which did not result in sufficiently high levels of performance, involved some form of feedback level control on each of the two surge tanks that precede the clarifier. The new solution that we present in this paper involves using feedforward techniques to control the existing surge tanks so that the available capacity is used in an efficient way. The new control scheme was implemented on existing hardware and achieved the desired level of performance. <<ETX>>
Skin Lesions Classification and Segmentation: A Review

An automated intelligent system based on imaging input for unbiased diagnosis of skin-related diseases is an essential screening tool nowadays. This is because visual and manual analysis of skin lesion conditions based on images is a time-consuming process that puts a significant workload on health practitioners. Various machine learning and deep learning techniques have been researched to reduce and alleviate the workloads. In several early studies, the standard machine learning techniques are the more popular approach, which is in contrast to the recent studies that rely more on the deep learning approach. Although the recent deep learning approach, mainly based on convolutional neural networks has shown impressive results, some challenges remain open due to the complexity of the skin lesions. This paper presents a wide range of analyses that cover classification and segmentation phases of skin lesion detection using deep learning techniques. The review starts with the classification techniques used for skin lesion detection, followed by a concise review on lesions segmentation, also using the deep learning techniques. Finally, this paper examined and analyzed the performances of state-of-the-art methods that have been evaluated on various skin lesion datasets. This paper has utilized performance measures based on accuracy, mean specificity, mean sensitivity, and area under the curve of 12 different Convolutional Neural Network based classification models. Keywords—Lesion segmentation; lesion classification; machine learning; deep learning; skin lesions
Rejuvenation Through Ayurveda: A Way Towards DelayingAging Process.

Article received on 06th July 2021 Article Accepted 13th Oct 2021 Article published 31st Oct 2021 ABSTRACT: The process of rendering young again by causing beneficial changes in the human body comes under the rejuvenation therapy. Each and every individual surrounding us in the cosmos wants to be remain young as several changes comes under aging process which causes various alterations in biological, physiological, psychological, behavioural and social aspects. Finally, aging leads to the old age period in which most of the individuals become fully or partially dependent on others even for their daily activities. To achieve healthy lifestyle and for delaying the aging process without experiencing side effects, everyone wants some remarkable solution. Ayurveda plays a major role for standstill the aging process and having an immense scope in this context through its various modalities like Rasayana therapy which is very much helpful in replenishing the vital fluids of the body; boosting the Vyadhikshamatva Bala and thus keeping us away from various ailments and prevents against ill effects of aging process and advanced age. Withania somnifera (Ashwagandha), Emblica officinalis (Aamalaki) and Terminalia chebula (haritaki) are some examples of potential and revered ayurvedic rejuvenator. Ashwagandha promotes energy levels and also mitochondrial health by its anxiolytic effect and works as anti-inflammatory and anti-arthritic agent also. Aamla, also known to be as Indian gooseberry is a potential antioxidant, immune-modulatory herb and having Vaya-Sthaapna Gunas that is anti-aging properties. Aamla act as an influential rejuvenator by nourishing the dhatus (the body tissues) and gently detoxify the body by removing toxins from the body. Haritaki, also known as shiva is a powerful Rasayana, anti aging agent, a potent immunemodulator and an effective antioxidant. Ritu haritaki is also a very useful concept of Ayurveda for rejuvenation. Rejuvenation through Ayurveda is a very important concept which should be keenly studied and applied.
The signaling mechanism of Hcy-induced atrial fibrosis mediated by TRPC3

Background High plasma levels of homocysteine (Hcy) are regarded as a risk factor for atrial fibrillation (AF), which is closely associated with the pathological consequence of atrial fibrosis and can lead to heart failure with a high mortality rate; Currently, there is no effective therapy for preventing atrial fibrosis, owing to a lack in fundamental understanding of the underlying mechanism. Here, we show that atrial fibrosis is mediated by the relationship between canonical transient receptor potential 3 (TRPC3) channels and sirtuin type 1 (SIRT1) under the stimulation of Hcy. Methods The left atrial appendage was obtained from patients with either sinus rhythm (SR) or AF, who underwent cardiothoracic surgery, and used to evaluate the relationship between the concentration of Hcy and a potential mechanism of cardiac fibrosis mediated by TRPC3 and SIRT1. We next performed transverse aortic constriction (TAC) in mouse to investigate the relationship. The mechanisms underlying atrial fibrosis involving TRPC3 and SIRT1 proteins were explored by co-immunoprecipitation (co-IP), bio-layer interferometry (BLI) and lentivirus transfection experiments. Quantitative polymerase chain reaction (qPCR) and western blotting (WB) were performed to analyse gene and protein expression, respectively. Results The majority of AF patients displayed atrial fibrosis, as demonstrated by Masson staining and immunohistochemistry. In the mouse model of TAC, more severe fibrosis was detected in the high-Hcy diet (HH) group, compared to NH mice; and the duration of induced AF was longer in the HH groups than in the normal diet (NH) group. Moreover, the HH group exhibited higher expression levels of TRPC3 and related fibrosis proteins, such as TGF-ß and Col-I, than the NH group, despite also showing a higher level of SIRT1 was observed. The activator of SIRT1 (Resveratrol, Res) attenuated the enhancement of TRPC3 and decrease in SIRT1 observed in the HH group. Further cell culture experiments confirmed that Hcy could promote the proliferation and differentiation of fibroblasts, the up-regulation of TRPC3, and the decrease in the protein level of SIRT1. Ultimately, the results of Co-IP and BLI indicated a direct interaction between TRPC3-C terminal domain (569-863) and SIRT1 proteins, in which the two proteins are antagonistic and in combination regulate the pathogenesis of atrial fibrosis. Conclusions The higher level of atrial fibrosis were observed in the HH mouse group, compared with the NH mice group, Such results suggest that AF patients may be more susceptible to atrial fibrosis and possess a high probability of progressing to hyperhomocysteinemia. Moreover, our findings are consistent with the hypothesis that TRPC3 channel up-regulation leads to abnormal accumulation of collagen, with the down-regulation of SIRT1 as an aetiological factor of high Hcy, which in turn predisposes to atrial fibrosis and strongly enhances the possibility of AF.
The Kata-Thermometer as a Measure of Ventilation

In two papers previously published, one by Leonard Hill, O. W. Griffiths and M. Flack, and the other by Leonard Hill and D. Hargood-Ash, the kata-thermometer was described in detail, and formulae were given connecting the heat loss with temperature, wind velocity and vapour pressure. Various discrepancies were found to occur, however, and seeing that the kata-thermometer has become recognised as a measure of ventilation the whole matter has now been carefully reinvestigated. Large wind tunnels such as those at the National Physical Laboratory, which were not available during the war, owing to the urgency of aeroplane work, were now at our disposal. Experimental Work. To obtain known wind velocities for the experimental work two methods were adopted, that of the “wind tunnel” where the air is drawn through a long tunnel by means of a propellar at one end, and that of the “whirling arm” where the “kata” is made to move through the air on a revolving arm. The wind tunnel work was carried out in the engineering department at the National Physical Laboratory by kind permission of Dr. T. E. Stanton, where Miss D. Marshall gave us valuable assistance in the determination of wind velocities; also at East London College, where Dr. N. A. V. Piercy was good enough to allow us the use of the tunnel and to help us in determining the wind velocities.
Feeder Re-assign Problem in a Surface Mount Device with a Piano-Type Multi-Headed Gantry

A surface mount device (SMD) assembles electronic components on printed circuit boards (PCB). Since a component assembly process is a bottleneck process in a PCB assembly line, making an efficient SMD plan is critical in increasing the PCB assembly line productivity. Feeder assignment is an important part of the SMD plan optimization. In this paper, we propose a feeder re-assign improvement algorithm for a specific type of SMD machine with a piano type multi-head gantry. Computational results on some real-world benchmark data sets show the effectiveness of our proposed algorithm.
Anwendung einer CCD-Zeilen-Kamera zur Reflexionsspektroskopie im Blut. Teil 1: Hämatokritunabhängige Sauerstoffsättigungsbestimmung durch ein neues Auswertverfahren - Reflectance Spectrometry in Whole Blood Using a CCD Array Camera Part 1: Haematocrit Independent Measurement of Oxygen Saturation wit

R. Pahl F. P. Dcnsau C. F. Hoidelmeyer J. Stcinmann G. Heilige Anwendung einer CCD-Zeilen-Kamera zur Reflexionsspektroskopie im Blut* Teil 1: Hämatokritunabhängige Sauerstoffsättigungsbestimmung durch ein neues Auswertverfahren Reflectance Spectrometry in Whole Blood Using a CCD Array Camera Part 1: Haematocrit Independent Measurement of Oxygen Saturation with the Aid of a New Evaluating Method
Prevalence of suicidal behavior in young university students: A systematic review with meta-analysis

Objective: to identify the prevalence of suicidal behavior in young university students. Method: a systematic review with meta-analysis of cross-sectional studies based on the Joanna Briggs Institute proposal, and carried out in the PubMed, Web of Science, Scopus, PsycINFO and LILACS databases and in the Brazilian Digital Library of Theses and Dissertations, with no language or year restrictions. A total of 2,942 publications were identified. Selection, data extraction and methodological evaluation of the studies were performed by two independent researchers. The meta-analysis was performed considering the random effects model. Results: eleven articles were included in this review. The prevalence variation for suicidal ideation was from 9.7% to 58.3% and, for attempted suicide, it was from 0.7% to 14.7%. The meta-analysis showed a 27.1% prevalence for suicidal ideation in life, 14.1% for ideation in the last year, and 3.1% for attempted suicide in life. Conclusion: the high prevalence of suicidal behavior, even with the considerable heterogeneity of the studies, raises the need to implement interventions aimed at preventing suicide and promoting mental health, especially in the academic environment.