Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of LCL-LCL Harmonic Filter for Grid Connected Photo Voltaic Cell Array

This paper represents a control method for a three-phase grid interaction voltage source inverter (VSI) that links a renewable energy source to utility grid through a LCL-type filter. The use for Distributed or Disperse Generation is rapidly increasing in modern distribution networks because for their potential advantages.LCL filters have very high gain at filter cutoff frequency, so naturally if that frequency gets excited then system will oscillate. As a result system becomes highly sensitive to outside disturbances. One way for reducing resonance oscillation in current & voltage for system is by adding a passive damping circuit to filter. This damping circuit may be purely resistive or more complex solution consisting for a combination for resistors, capacitors and inductors. A more attractive option is use for active damping where output voltage from converter is used (suitable control action) to damp out resonance oscillations. Greater emphasis is given to active damping in current work. few for techniques are available in literature based on current control strategy for converter, however all above methods resolve problem up certain level however still problem remains that to deal with switching frequency and so harmonics may be reduced proposed work has come up with a new design in which 2-LCL type filter which has high efficiency and high attenuation than previous and better response at high frequencies.
SCORM Based Nano Scale Electronic Devices Modeling Methodology

Object oriented methodologies are applied in the nano scale electronic devices top-down modeling and simulation process. The object oriented approach is applied to the modeling and simulation of nanodevices, making emphasis in the results obtained from a typical nanoelectronic device. A detailed analysis of simulation variables is performed to determine model applicability. Resulting models can be integrated with basic electronic circuit or non-electronic lumped-element models. Each object is translated from a standard hardware description language to a Shareable Content Resource Object Reference Model (SCORM) platform. Those results have been exported as learning objects to be used by engineering students who are users of a Learning Management System. Learning objects from nano scale devices are incorporated into a Learning Management System for nanotechnology education purposes. Conclusions around the applicability and limitations of this kind of solution are obtained, and the benefits for a learning process in nanotechnology in the undergraduate and graduate level have been shown.
Are there interesting cultural interconnections between the sciences , technologies and traditional societies ?

The focus of this paper is the importance of dissemination and application of sciences and technologies on science’s teaching into cultural circles of traditional societies. It was developed from a preliminary qualitative study of public opinion with 30 individuals from different social groups of American countries. An open question was employed for data collection: Do you believe that societies living in direct contact with nature (e.g. indigenous) require dissemination and application of science and technology in their cultural backgrounds? Justify your answer. The answers were analyzed inductively about their content. They were grouped into two categories indicating that most of the participants (76.67%), agree that traditional societies need to access and use of science and technologies. On the other hand, 23.33% of the participants indicated that traditional societies do not require to access and use of science and technologies. We conclude that sciences and technologies are important and should be a shared component of science teaching with traditional societies. However, the process will need to avoid cultural overlap, and guarantee a mutual respect. The study will continue with a broader sample and participation of individuals belonging to traditional societies.
Sepsis and community-acquired pneumonia

Community-acquired pneumonia (CAP) is a common disease and a leading cause of death. CAP may cause local and systemic inflammation, leading to a dysregulated host response and eventually to sepsis, multi-organ dysfunction, septic shock and death. Therefore, early diagnosis and assessment of the risk of poor outcomes is mandatory. Recent studies suggest that the scores developed for CAP predict the risk of death better than Sequential (Sepsis-related) Organ Failure Assessment (SOFA) or qSOFA and that early diagnosis can allow adequate management of patients with sepsis. Fluid resuscitation should be started with a target of a median arterial pressure of 65 mmHg and normalization of serum lactate values, following a hemodynamic assessment to avoid excessive fluid administration. Antibiotics should be administered within the first hour; if the patient has no risk factors for multidrug-resistant organisms, we suggest a third generation cephalosporin combined with a macrolide.
Perspectives on the modeling of the neuromusculoskeletal system to investigate the influence of neurodegenerative diseases on sensorimotor control

Introduction: The understanding of the neurophysiological mechanisms underlying movement control can be much furthered using computational models of the neuromusculoskeletal system. Biologically based multi-scale neuromusculoskeletal models have a great potential to provide new theories and explanations related to mechanisms behind muscle force generation at the molecular, cellular, synaptic, and systems levels. Albeit some efforts have been made to investigate how neurodegenerative diseases alter the dynamics of individual elements of the neuromuscular system, such diseases have not been analyzed from a systems viewpoint using multi-scale models. Overview and Perspectives: This perspective article synthesizes what has been done in terms of multi-scale neuromuscular development and points to a few directions where such models could be extended so that they can be useful in the future to discover early predictors of neurodegenerative diseases, as well as to propose new quantitative clinical neurophysiology approaches to follow the course of improvements associated with different therapies (drugs or others). Concluding Remarks: Therefore, this article will present how existing biologically based multi-scale models of the neuromusculoskeletal system could be expanded and adapted for clinical applications. It will point to mechanisms operating at different levels that would be relevant to be considered during model development, along with implications for interpreting experimental results from neurological patients.
Effect of Leadership Styles on Employee Productivity at South Nyanza Sugar Company Limited, Migori County

Leaders are accountable for the performance and success of their organization, which is dependent on employee’s productivity. Leadership is an indispensable requisite for the success of any organization. The purpose of the study was to establish the effect of leadership styles on employee productivity at South Nyanza Sugar Company Limited. To achieve the objective of the study, the study used a descriptive research design address the research objectives. A sample size of 95 was selected from a population of employees of South Nyanza Sugar Company Limited using simple random sampling technique. The study used primary data which was collected using semi-structured questionnaire and data was analyzed using descriptive statistics. The study findings realized that there is positive significant relationship between autocratic leadership style and employee productivity. Positive significant relationship also was between democratic leadership style and employee productivity. However, the research findings showed that there was no positive significant relationship also existed between laissez-faire leadership style and employee productivity. The study therefore recommended that leaders to be aware of what is important for the subordinates and the organizations as a whole and encourage the employees to see the opportunities and challenges around them creatively. Key words : Employee productivity; Leadership style; Democratic; Autocratic; Laissez-faire
A Caching Mechanism Based on Data

Use of cache is an effective way to improve access to a databases. However, when data in the cache are not updated or invalidated when writing to databases, the possibility increases with time that data in the cache will differ from data in the database. Therefore, we propose to adjust the balance between data freshness and access performance by switching between the use and non–use of a cache based on the load on the databases or on access performance. We also suggest and test a way of implementing the switching.
EFFECTS OF CREATIVITY TRAINING, DEFENSIVENESS AND INTELLIGENCE

EDRS Price MF-$0.55 HC-$3.29 Cognitive Ability, Cognitive Processes, Creative Ability, Creative Activities, Creative Development, *Creative Expression, *Creativity, *Creativity Research, *Divergent Thiaking, Imaginatioo, Individual Differences, Individualism, *Intelligence, Originality, Self Fxpress3on, Thought Processes Ths purpose of thi r. study was to deterrhine whether creativity could be facilitated by a training msthod based on a salient characteristic of the creative individual, namely, his ability to synthesize elements from 'clic disparate psychological entities: (1) visual experiences; and (2) emotionP1 states. A four-session training program is described in detail. Three hypotheses wt.re tested and accepted: (1) subjects trained to associate elements from two distinct psychological entities will perform significantly better on divergent thinking tests (which measure creativity) than subjects not trained; (2) there is a significant negative correlation between defensiveness (which accords greater receptiveness to both the inner self and the outer world) and divergent thinking performance; and (3) there is a low, positive correlation between intelligence and divergent thinking petiormance. Instruments uEed to measure creativity, defensiveness and intelligence are discussed. (TL) r\J PeN EFFECTS OF CREATIVITY TRAINING, DEFENSIVENESS AND INTELLIGENCE . 4" ON DIVERGENT THINKING' U.S. DEPARTMENT OF HEALTH. EDUCATION WELFARE Marie Dellas OFFICE OF EDUCATION LA. / THIS DOCUMENT HAS BEEN REPRODUCED EXACTLY AS RECULN.YFROM THE PERSON OR ORGAN ZATIO% DRIGINATIND IT POINTS OF VIEW OR OP.P113PS ETATED 00 NOT NECES SARILY REPRESCNT OF FID XL Eastern Michigan University CATION POSITION OP POLICY OFFICE OF EDU. One of the significant issues . n creativity resca2ch ccacerns the facilitation of the creative function and effective methods for attaining this objective. The procedures generally used to enhance creativity are Osborn's (1957) problem-solving course which requires as many different solutions as possible to be given to various problem situations; his "brainstorming" technique, a group association procedure, which requires the rapid production of ideas to problem situations with judgment of their value de:erred to avoid inhibition of ideas; and Maltzman's (1960) free association technique which requires a different associative response to each repeated presentation of word stimuli. Generally, these training procedures attempt to evoke uncommon responses to various stimuli as a function of increased number of responses. The purpose of the present study was to determine whether creativity could be facilitated by a training method based on a salient characteristic of the creative individual. In their review of the literature regarding the psychological 03 ON 1 Fapor presented at the Annual Meeting of the American Educational Research Association, February 4-7, 1971, New York City. CD CD
Optimal Routing Algorithms A flow-based approach and speed-up techniques for static networks

Many practical optimisation problems can be formulated as a traffic assignment problem, i.e. optimally route a multi-commodity flow through a network. In order to do this, a network is defined that can capture congestion and a notion of optimal flow. The shortest path problem is derived as a sub-problem of the traffic assignment problem, discussing several algorithms that can solve it. In addition, several speed-up techniques for the shortest path problem are described that can be applied to static networks. In conclusion, an algorithm is discussed that solves the traffic assignment problem by iteratively solving a shortest path problem.
A PQ Improved High Efficiency, High Power Operated Single-Phase Variable Input Fed Two Switch Buck Boost Dc- Dc Converter

The usage of power electronic systems has expanded to new and wide application range. In recent years, the use of buck boost converters is more when compared to other type of converters. When compared with the basic converters like cuk, zeta and the two switch buck boost converter (TSBB) presents less voltage losses on the switches. The two-switch buck boost converter is suitable for wide input voltage applications. The two switch buck boost converter requires fewer passive components. In order to achieve high efficiency over the entire input voltage range, the TSBB converter operated in buck mode at high input voltage and boost mode at low input voltage. Such operation is called two mode control scheme. The objective of this paper is to propose an input voltage feed-forward (IVFF) method to reduce the influence of the input voltage disturbance on the output voltage. The TSBB converters have been extensively used in telecommunications, battery operated vehicles, etc. with wide input voltage range. So it is thus important to improve the efficiency of TSBB converter over a high input voltage range. The two mode control scheme with the IVFF compensation is then proposed for the TSBB for different operating modes has been derived.
Detection of a plasmid containing Cadmium resistance gene for lactic acid bacteria isolated from foods

This study aimed to isolate lactic acid bacteria (LAB) carrying cadmium resistant genes on plasmids from foods. A total of 30 fermented food samples were collected from local markets and supermarkets. Isolation of cadmium resistant LAB colonies was performed by spread plate technique using MRS agar medium supplemented with cadmium (MRS-Cd). One hundred and fifty cadmium resistant isolates were randomly selected and subjected to plasmid extraction. Only one isolate (LAB-V12) from a fermented vegetable harbored a single plasmid of about 9 Kb. 16S rDNA sequencing data showed that LAB-V12 was likely to be Lactobacillus plantarum. The results from plasmid curing demonstrated that a cured strain of the LAB-V12 was sensitive to cadmium. Hence, probably cadmium resistant marker is plasmid mediated. The plasmid containing cadmium resistance gene was tested for stability in its host. It was observed that the LAB-V12 could maintain the plasmid after approximately 100 generations of growth without cadmium selection. The plasmid might be further developed to be a food-grade cloning vector that is useful for genetic modification of LAB.
In situ resistance measurements of strained carbon nanotubes

We investigate the response of multiwalled carbon nanotubes to mechanical strain applied with an atomic force microscope probe. We find in some samples, changes in the contact resistance dominate the measured resistance change. In others, strain large enough to fracture the tube can be applied without a significant change in the contact resistance. In this case, we observe that enough force is applied to break the tube without any change in resistance until the tube fails. We have also manipulated the ends of the broken tube back in contact with each other, re-establishing a finite resistance. We observe that, in this broken configuration, the resistance of the sample is tunable to values 15–350 kΩ greater than prior to breaking.
’ INELASTIC SCATTERING AND MULTINUCLEON TRANSFER IN 3 , 4 He + 9 Be REACTIONS

A. S. Denikin a, b, , S. M. Lukyanov , N. K. Skobelev , Yu.G. Sobolev , E. I. Voskoboynik , Yu. E. Penionzhkevich b, , W. H. Trzaska , G. P. Tyurin , V. Burjan , V. Kroha , J. Mr azek , S. Pisko r , V. Glagolev , Yi Xu , S. V. Khlebnikov f , M.N. Harakeh , K. A. Kuterbekov h, , Yu. Tuleushev i a International University ©Dubnaa, Dubna, Russia b Joint Institute for Nuclear Research, Dubna c National Research Nuclear University MEPhI, Moscow d Department of Physics, University of Jyvéaskyléa, Jyvéaskyléa, Finland e Nuclear Physics Institute, Re z, Czech Republic f Khlopin Institute, St. Petersburg, Russia g Kernfysisch Versneller Instituut, University of Groningen, Groningen, Netherlands h Eurasian Gumilev University, Astana i Nuclear Physics Institute, Almaty, Kazakhstan
A Quarterthiophene-Based Dye as an Efficient Interface Modifier for Hybrid Titanium Dioxide/Poly(3-hexylthiophene)(P3HT) Solar Cells

This work focused on studying the influence of dyes, including a thiophene derivative dye with a cyanoacrylic acid group ((E)-2-cyano-3-(3′,3′′,3′′′-trihexyl-[2,2′:5′,2′′:5′′,2′′′- quaterthiophene]-5-yl) acrylicacid)(4T), on the photovoltaic performance of titanium dioxide (TiO2)/poly(3-hexyl thiophene)(P3HT) solar cells. The insertion of dye at the interface improved the efficiency regardless of the dye used. However, 4T dye significantly improved the efficiency by a factor of three when compared to the corresponding control. This improvement is mainly due to an increase in short circuit current density (JSC), which is consistent with higher hole-mobility reported in TiO2/P3HT nanocomposite with 4T dye. Optical absorption data further revealed that 4T extended the spectral response of the TiO2/P3HT nanocomposite, which could also enhance the JSC. The reduced dark current upon dye insertion ensured the carrier recombination was controlled at the interface. This, in turn, increased the open circuit voltage. An optimized hybrid TiO2/P3HT device with 4T dye as an interface modifier showed an average efficiency of over 2% under-simulated irradiation of 100 mWcm−2 (1 sun) with an Air Mass 1.5 filter.
Evaluation of antioxidant, anti-inflammatory and analgesic potential of Citrullus lanatus seed extract in rodent model

The present study was carried out to evaluate the antioxidant, anti-inflammatory and analgesic potential of the Citrullus lanatus seeds. Extraction of the seeds were carried out using solvents of increasing polarity. The free radical scavenging activity of all extracts were measured by DPPH and H2O2 methods. The methanolic extract of the Citrullus lanatus seeds was further evaluated for its in vivo anti-inflammatory activity using carrageenan induced rat paw edema and analgesic activity by tail flick and tail immersion methods. The methanolic extract of the seeds (MECL) had shown highest antioxidant activity. The results were obtained in a dose dependent manner. 200mg/kg of MECL had shown significant (p<0.05) anti-inflammatory and analgesic activity as compared to diclofenac sodium and morphine respectively. It may be concluded that the methanolic extract of seeds of Citrullus lanatus has good antioxidant, anti-inflammatory and analgesic potential and may be used as a future food medicine.
Timing Error Tolerance in Pulsed Latch Based Pipelines

⎯Timing error tolerance turns to be a major design concern in modern nanometer technology integrated circuits. In this work, we present a technique for multiple timing errors detection and correction, which is suitable for pulsed latch based pipelines. The proposed design provides timing error tolerance at a small penalty of extra time for each error correction. Besides that, it is characterized by low silicon area overhead and reduced power consumption, with respect to previous design schemes in the open literature. The proposed technique was applied in six designs that are combinations of benchmark circuits from the ISCAS’85 family, and the simulation results verified its efficiency.
Stylized Sketch Generation using Convolutional Networks

The task of synthesizing sketches from photographs has been pursued with image processing methods and supervised learning based approaches. The former lack flexibility and the latter require large quantities of ground-truth data which is hard to obtain because of the manual effort required. We present a convolutional neural network based framework for sketch generation that does not require ground-truth data for training and produces various styles of sketches. The method combines simple analytic loss functions that correspond to characteristics of the sketch. The network is trained on and evaluated for human face images. Several stylized variations of sketches are obtained by varying the parameters of the loss functions. The paper also discusses the implicit abstraction afforded by the deep convolutional network approach which results in high quality sketch output.
Development of An inventory model with Volume flexibility, random deterioration and increasing exponentially demand rate

A volume flexible inventory model is developed. This model is developed for deteriorating item by assuming that the deterioration rate is depend on a parameter and time. The production rate is variable, production cost become a function of production rate, unit cost depending upon material cost, labour cost and tool cost. The demand rate is increasing exponentially shortages are allowed. Cost minimization technique used to find out optimal values for different inventory variables.
Determination of Magnetic Induction and Current Density Values for Planar Cores to Operate with Minimal Magnetic Losses

This paper presents a methodology for determining the values of magnetic induction and current density in the design of transformers and inductors based on planar magnetic elements. From experimental values, datasheet parameters and through an optimization tool based on genetic algorithms, we obtain curves of magnetic induction and current density corresponding to operation with minimal magnetic losses. Hence, from the obtained results, it is possible to design a planar magnetic device operating with minimal losses.
A Multi-Column CNN Model for Emotion Recognition from EEG Signals

We present a multi-column CNN-based model for emotion recognition from EEG signals. Recently, a deep neural network is widely employed for extracting features and recognizing emotions from various biosignals including EEG signals. A decision from a single CNN-based emotion recognizing module shows improved accuracy than the conventional handcrafted feature-based modules. To further improve the accuracy of the CNN-based modules, we devise a multi-column structured model, whose decision is produced by a weighted sum of the decisions from individual recognizing modules. We apply the model to EEG signals from DEAP dataset for comparison and demonstrate the improved accuracy of our model.