Public Articles

(0091) Control of Open end Induction Motor by Multi-objective GA based Selective Harmonic Elimination PWM to reduce Zero Sequence Currents and Torque Ripples

and 4 collaborators

A Double inverter powered induction motor with open stator winding has few benefits, including excessive error forbearance functionality, great flexibility and lesser rating of dc input voltage etc. For this Configuration, two types of Modules can implement they are Non-isolated DC link and Isolated DC link. In these two, Non-isolated DC link is a good choice due to effective DC-link utilization and ruggedness, which is very beneficial in many applications. However, this module produces more zero sequence currents (Z-SC) by means of common mode (CMMD) voltage, which flows through Dc bus. The circulation of Z-SC must as little as feasible since it merely does rise the amplitude of currents in all phases. High ripple frequency of currents and torque, In addition resulting extra loss, which not alone reduces the efficiency, but loading ability and quickens the aging of drive. The triplen harmonics can denote meticulously as harmonics with integer of three times the frequency at fundamental, when they are in Phase in all Phases forms the Z-SC. In this paper, a novel SHE method is chosen to target triplen harmonics in Single DC Source Module (Non- isolated) and holding preferred fundamental quantity, which aids in improving the torque handling ability of the motor. In addition, the investigation of dual inverter fed OEW-IM with both common DC source as well as separate DC sources also explored by SHE for different number of switching angles and variable Modulation Index (MI) towards the torque ripples and Z-SC reduction are given. The foremost challenge related with SHE method is that resolving a set of higher order nonlinear equations with number of variables. A Multi-objective GA method provided for that challenge which effects the reduction in Z-SC so that torque ripples will be minimised. Moreover, the novel SHE method reduces more number of harmonics than the conventional SHE, which further decreases TH-D with decent fundamental quantity. For validation, the essential mathematical formulations and simulation results presented.* *

(????) Energy analysis and optimizing of hybrid WT/ PV cell in power systems

and 4 collaborators

Due to the increasing need for energy and limited fossil resources on the one hand, and the increasing environmental pollution caused by the burning of these resources, on the other hand, the use of renewable energy has become more and more important. Wind and solar energy are one of the main types of renewable energy that has long attracted the human mind, so he has always thought about using these energies in the industry. In this study, the optimal combination of scattered production sources (wind-solar) has been added to a 33 IEEE bus system and beta distribution has been used to model wind speed. Also, load and production planning is 24 hours. The aim of this study is to improve voltage profiles, increase reliability and reduce losses. As a result, a 39% reduction in casualties in the presence of wind turbines and a 40% reduction in the presence of photovoltaic cells highlights the role of these resources in the grid.

Title

$\begin{aligned} y &=(a+b) x-a b \\ c &=(a+b) x-a b-x^{2} \\ \frac{d c}{d x} &=a+b-2 x \end{aligned}$

$\begin{aligned} c &=(a+b) x-a b-x^{2} \\ &=(a+b) \frac{(a+b)}{2}-a b-\left(\frac{a+b}{2}\right)^{2} \\ &=\frac{(a+b)^{2}}{2}-\left(\frac{a+b}{2}\right)^{2}-a b \\=& \frac{(a+b)^{2}}{2}-\frac{(a+b)^{2}}{4}-a b \\=& \frac{(a+b)^{2}}{4}-a b \\=& \frac{(a+b)^{2}-4 a b}{4} \\=& \frac{(a-b)^{2}}{4} \\=&\left(\frac{a-b}{2}\right)^{2} \text { or }\left(\frac{b-a}{2}\right)^{2} \end{aligned}$

Smoke gets in your tics

Many (though not all) of my patients who have tried marijuana have felt that their tics improved after using it. Such self-treatment is not rare (poster P94 here), and other doctors report similar results (see for example poster P6 here). Pharmacological benefits from cannabis products are plausible, since cannabinoid receptors in the brain's basal ganglia are well positioned to affect movement \citep{25649017}.

Of course, in addition to any real benefit from marijuana, there could be expectation effects, or one could simply care less about tics when high. Random allocation clinical trials with blind rating of benefit (RCTs) are essential to demonstrating whether marijuana has any true benefit for tics. Müller-Vahl and colleagues carried out two RCTs about 15 years ago in Tourette syndrome (TS) using THC (tetrahydrocannabinol), the main intoxicating ingredient in cannabis \citep{11951146,12716250}. Both trials showed benefit, but the trials were relatively small. Two to 3 years ago, the Tourette Association of America funded two pilot studies in this field, but results have not yet been reported. One trial, at Yale, was to study the FAAH (fatty acid amide hydrolase) inhibitor PF-04457845 in TS \citep{21505060}, but the trial was placed on clinical hold pending results from a different trial. Investigators at Toronto Western Hospital were funded for a trial in TS of medical cannabis products with varying concentrations of THC and cannabidiol \citep{chen}. Cannabidiol is being studied in several brain disorders, including epilepsy, with hopes that it may provide benefit without the psychological side effects of THC.

Not surprisingly, the paucity of data has led to different viewpoints. Müller-Vahl has argued that THC may be appropriate in some TS patients \citep{23187140}, whereas an American Academy of Neurology review and a Cochrane-style review in JAMA concluded that the evidence was insufficient to recommend THC for tic disorders \citep{24778283,26103030}. The clinical utility of cannabinoids in TS was one of two clinical controversies debated at the 2015 First World Congress on Tourette Syndrome and Tic Disorders \citep{27375411}.

Tourette syndrome research highlights from 2020

and 3 collaborators

AH: ORCiD 0000-0002-0335-984X

YW: ORCiD 0000-0001-5903-9370

CD: ORCiD 0000-0002-7212-9554

The Epidemic Volatility Index: an early warning tool for epidemics

and 17 collaborators

Accept. Understand. Then play! The impact of sport and physical activity in autism spectrum disorder

and 3 collaborators

Participating in sports and physical activity has physical, psychological, cognitive and social benefits for everyone, including young people with autism spectrum disorder (ASD). The practice environment and instructorship are significant inclusion factors for young people with ASD. A safe, attractive and easy-to-access environment has a positive impact on the practice of physical activity for all disabilities, ASD included. Nonetheless, the teachers and coaches are not always informed of the condition of the young people for which they are responsible and they may not have been trained to adapt their coaching to the reality of these young people. They may not have the knowledge, openness or resources to properly integrate a person with ASD in their group. Hence, it is relevant to give them tools so they can intervene more adequately with people living with ASD.

AISY Interactive Articles: Submission Template

and 4 collaborators

Insert the abstract of your article here.

Corresponding author(s) Email: * xxxxx@xxxx.xxx *

Fractional Paradigms in Quantum Chemistry

The realization of fractional quantum chemistry is presented. Adopting the integro-differential operators of the calculus of arbitrary-order, we develop a general framework for the description of
quantum nonlocal effects in the complex electronic environments. After a brief overview of the historical and fundamental aspects of the calculus of arbitrary-order, various classes of fractional
Schr\"odinger equations are discussed and pertinent controversies and open problems around their applications to model systems are detailed. We provide a unified approach toward fractional
generalization of the quantum chemical models such as Hartree-Fock and Kohn-Sham density functional theory and develop fractional variants of the fundamental molecular integrals and correlation energy
. Furthermore, we offer various strategies for modeling static- and dynamic-order quantum nonlocal effects through constant- and variable-order fractional operators, respectively. Possible directions
for future developments of fractional quantum chemistry are also outlined..

AISY Interactive Papers: Guidelines for Authors

and 4 collaborators

Monitoraggio delle emissioni odorigene in un piccolo impianto di depurazione attraverso un approccio senso-strumentale.

and 1 collaborator

Le molestie olfattive indotte da impianti di trattamento di acque reflue costituiscono un vero e proprio problema ambientale. In particolare, le emissioni odorigene derivanti dall’esercizio di impianti in zone turistiche sono considerate la principale causa di disturbo notato dalla popolazione esposta. La valutazione dell’impatto indotto può essere effettuata attraverso la misurazione degli odori, utilizzando un metodo analitico o sensoriale. Quest’ultimo, legato al “sensore umano” è causa di notevole incertezza. Pertanto, nel presente articolo si vuole mostrare l’applicazione di una procedura innovativa di tipo senso-strumentale, il cui obiettivo è quello di rimuovere la componente soggettiva nella misura degli odori. I risultati ottenuti in uno SWWTP hanno dimostrato l’applicabilità di tale procedura nel monitoraggio delle emissioni odorigene ed hanno permesso l’identificazione di 39 sostanze diverse di cui quasi la metà responsabili di disturbi olfattivi.

Gli ultrasuoni: tecnologia innovativa per il controllo del fouling delle membrane

La filtrazione a membrana nel trattamento delle acque e delle acque reflue è una tecnologia promettente, grazie alla sua capacità di fornire elevati rendimenti depurativi. Tuttavia, il problema del fouling della membrana limita la sua applicazione poiché riducono l’efficienza del sistema. Quindi, le membrane necessitano di pulizia, la quale comporta costi notevoli e danni alla membrana, con possibili tempi di inattività.

Le recenti ricerche mirano a nuove tecnologie per ridurre le incrostazioni. Il presente lavoro analizza l’utilizzo di ultrasuoni per controllare la formazione del fouling: le membrane ultrafiltranti utilizzate sono state sottoposte a bagno ultrasonico al fine di controllare le incrostazioni. Dopo le prove è stato osservato il danneggiamento delle membrane e valutata la possibilità di riutilizzo.

Seppur promettente in termini di prestazione, questa tecnologia ha dei limiti, che devono essere valutati con attenzione prima dell’utilizzo su scala reale.

Unbanking in NYC?

The purpose of this project is to explore whether there is a correlation pattern between the number of banks and banking status, as well as to find the driving factors behind the banking status of New York City residents. The analysis concluded that there is a weak correlation between the availability of banks in a neighborhood and the ratio of unbanked households. The increase in the ratio of unbanked households is mainly related to two socio-economic features: poverty level and unemployment.

Building a Dam (Grades 1-3)

In this 50-minute lesson, students will learn about how water flows naturally. They will also learn about how man-made or animal-made structures can redirect the flow of water.

Standards & Objectives

- K-ESS2-2 Construct an argument supported by evidence for how plants and animals (including humans) can change the environment to meet their needs..
- K-ETS1-1 Ask questions, make observations, and gather information about a situation people want to change to define a simple problem that can be solved through the development of a new or improved object or tool
- K-ETS1-3 Analyze data from tests of two objects designed to solve the same problem to compare the strengths and weaknesses of how each performs.
- CCSS.MATH.CONTENT.2.MD.A.3 Estimate lengths using units of inches, feet, centimeters, and meters

- Video on Beaver Dams https://www.youtube.com/watch?v=yJjaQExOPPY
- Video on Building the Hoover Dam https://www.youtube.com/watch?v=n9Gy_1Ppw5U
- Video on How Water Flows https://www.youtube.com/watch?v=RqZbsr32n0c
- Materials: bottled water, construction paper, blocks, wire, string, Playdoh, tape, scissors, pipe cleaners, popsicle sticks (a variety of scraps and building supplies)

Stage 1: Observations & Comparisons (10 min)

Watch videos and look at pictures of dams, both man made and those occurring naturally. Compare the sizes, shapes, and materials used. Discuss why humans might build a dam. Discuss what happens to the water flow when a dam is put in place. Question how adjusting the size, shape, or position of the dam could change the flow.

Stage 2: Designing & Building (30 min)

Imagine city workers need to adjust the flow of a river to put in new electrical poles. You will need to design a dam that will redirect the river to another location. Consider what materials you can use that will withstand water flow for this project. Sketch and design a city dam structure. List materials, and design the model.

Stage 3 Testing & Reflection (10)

Test each design by creating a "river" with water flowing into the structure. Discuss height and direction of water flow. What adjustments need to be made? Which materials worked well for this project. Compare to real-world scenarios: What materials would be needed for a real river?

Principal Component Analysis to Understand Genomic Data

and 1 collaborator

DNA sequencing of the human genome significantly contributes to the investigation of the genomic patterns in population structure. However, genomic data is massively high dimensional and requires proper computational tools and statistical analysis methods to study it. In this paper, principal component analysis (PCA), a dimensionality reduction method, was applied to the Human Genome Diversity Panel (HGDP-CEPH) data to understand the population structure. The HGDP-CEPH data contains 660K SNPs of 1043 individuals from seven major population groups and 52 populations. We explored the structure of the population groups using both individual chromosomal as well as whole genome data. We also investigated populations within population groups. In addition, PCA was compared to two other dimensionality reduction methods: t-distributed stochastic neighbour embedding (t-SNE) and multi-dimensional scaling (MDS). Our findings show that PCA delivered several interesting insights into the structure of human populations, and is still an effective tool for extracting value from high dimensional DNA sequence data.

Next-generation sequencing technologies are significantly contributing to the study of the structure and organization of the human genome. Since such technologies can detect millions of genomic variants among fully sequenced population samples, they provide a path to discovering the population structure and inferring the demographic history of the natural populations \cite{Bamshad2004}. Previous studies show that 93%-95% of the human genetic variations is attributable to within population differences among individuals and 3%-5% is due to population differences \cite{Rosenberg_2002}. However, there are many computational challenges associated with next-generation sequencing, such as the production of high dimensional and complex data.

High dimensional data, as is found in genomic data, is a major challenge in data science. Currently, without highly advanced methods, genomic data is still subject to the curse of dimensionality. To overcome this problem, several dimensionality reduction algorithms appeared, one of which is principal component analysis (PCA) \cite{Siu_2012}. Principal component analysis is an unsupervised learning method that aims to produce a low dimensional representation of high dimensional data while capturing as much of the information as possible. The method uses the original variables to find a sequence of linear combinations, producing a new set of variables. The new variables, called principal components (PCs), maximize the variance and are mutually uncorrelated. To clarify, the first principal component has the highest variance, is the most informative, and is uncorrelated with all the other principal components.

Principal component analysis can be applied to genomic data to understand the population structure. Single nucleotide polymorphisms, or SNPs, are parts in the DNA that cause genetic variation among individuals. Therefore, using PCA to work with SNP data unfolds the genomic differences among populations and clusters them accordingly. This could potentially allow researchers to link diseases with specific genes and understand the history of evolutionary forces \cite{Barbujani_2010}.

The major contributions of this work can be summarized as follows:

1- PCA is able to make observations about the seven main population groups available in the HGDP-CEPH data.

2- Applying PCA on the chromosome level shows that there are no major visual differences between chromosomes in clustering populations, and that a single chromosome is sufficient to draw conclusions related to population structure.

3- PCA was used to reveal within population group structure and relationships between populations belonging to different population groups.

4- Other dimensionality reduction methods, being Multi-dimensional Scaling (MDS) and t-Distributed Stochastic Neighbour Embedding (t-SNE), were tested to investigate their ability to explore the population structure, and to compare them with PCA.

The goal of this paper is to visualize and make observations about the data using PCA, and to test PCA's effectiveness to explore the population structure. The paper is organized as follows: a detailed description about the data and the statistical problem is discussed in section 2. A brief explanation about the theory behind the statistical methods used and the procedure of splitting the data in section 3. Results are presented in section 4. Final discussion and closing remarks are presented in section 5.

The dataset used for the analysis of this paper is from the Human Genome Diversity Project (HGDP-CEPH) which can be found on http://www.cephb.fr/hgdp/ . The dataset contains 660,918 SNPs for the 22 chromosomes of 1043 subjects. The subjects come from 52 populations of 7 major population groups: Africa, America, Central and South Asia, East Asia, Europe, Middle East and North Africa (MENA), and Oceania. The location map of the subjects' origins is visualized in Fig. \ref{591956}. The raw data was encoded as 0,1, or 2, with 0 representing the major allele and 2 representing the minor allele. For the missing values, genotypes were imputed based on the mean of a SNP. Data encoding and imputation were done using R's programming language (3.6.3) by

`BiocManager::snpReady::raw.data`

.Large-scale surface shape sensing with learning-based computational mechanics

and 9 collaborators

Using hydrochemistry and simple visualization to differentiate groundwater samples

and 3 collaborators

Hydrochemistry has been used to differentiate water samples based on their hydrogeological system. However, we would still need data visualizations to identify the similarity as well as the dissimilarity between samples. Many analysts are familiar with worksheet-based application, yet its ability to visualize data is fairly limited. In this paper we're going to introduce R statistical program to help us distinguish groundwater samples. Data were taken from several locations (from spring and dug well): 10 samples from volcanic system (two from Pangalengan and eight from Greater Bandung), five data from limestone area of Padaralang, and five from coastal alluvium area of Indramayu. Physical properties such as elevation, temperature, pH, electro-conductivity (EC), and total dissolved solids (TDS) were measured using portable tools, whilst hardness, major elements, Fe, NO2, NO3, NH4 were measured in the lab. In the visualizations, we recommend a simple strip-chart from R. Code and data will be made publicly available upon the acceptance of this abstract to ensure its reproducibility. Our visualizations show a straightforward differentiation based on EC/TDS, hardness, Ca, Na, K, and HCO3. EC/TDS are related to the distance from recharge area and rain water. Hardness is connected to Ca dan HCO3 concentration, and it also resembles the ion exchange processes in the aquifer. HCO3, aside to only derived from carbon cycle, it could also come from rain water and probably geothermal domain gasses (especially for volcanic samples). Interestingly all samples contain NO2, NO3, and NH4, for which it could indicate water contamination from waste. This method seems to be working with its viability is subjected to the number of samples and additional data for comparison. This is where open data is important for researcher. We also recommend R for its robust visualization.

Expanding the conservation genomics toolbox: incorporating structural variants to enhance genomic studies for species of conservation concern

and 8 collaborators

Structural variants (SVs) are large rearrangements (> 50
bp) within the genome that impact the form and structure of chromosomes.
As a result, SVs are a significant source of functional genomic
diversity, i.e. variation at genomic regions underpinning phenotype
differences, that can have large effects on individual and population
fitness. While there are increasing opportunities to investigate
functional genomic diversity in threatened species via single nucleotide
polymorphism (SNP) datasets, SVs remain understudied despite their
potential influence on complex traits of conservation interest. In this
future-focused Opinion, we contend that characterizing SVs offers the
conservation genomics community an exciting opportunity to complement
SNP-based approaches to enhance species recovery. We identify three
critical resources to characterize SVs de novo: 1) High-quality,
contiguous, annotated reference genome(s); 2) Whole genome resequence
data from representative individuals of the target species/populations;
and 3) Well-curated metadata including pedigrees. We also leverage the
existing literature–predominantly in human health, agriculture and
eco-evol biology–to identify pangenomic approaches for readily
characterizing SVs and consider how integrating these into the
conservation genomics toolbox may transform the way we intensively
manage some of the world’s most threatened species.

BORRADOR - CONSULTA

CONSUMIR ABUNDANTES LÍQUIDOS, EVITAR ALIMENTOS FRÍOS O IRRITANTES, USO DE CUBREBOCAS, SEGUIR MEDIDAS DE HIGIENE BÁSICAS.

VIGILAR SATURACIÓN DE OXÍGENO (NORMAL: >90%), AISLAMIENTO POR 14 DÍAS, REVALORACIÓN EN UNA SEMANA O ANTE CUALQUIER EVENTUALIDAD.

HIDRATACIÓN CON ELECTROLITOS ORALES, DIETA LIBRE DE IRRITANTES, GRASAS O LEGUMINOSAS.

REALIZAR GÁRGARAS POR 30 SEGUNDOS Y DESECHAR LA SOLUCIÓN.

DISOLVER UNA CUCHARADA EN UN VASO DE AGUA E INGERIR DESPUÉS DE LOS ALIMENTOS.

EN TRATAMIENTO POR CASO SOSPECHOSO DE COVID-19. ACUDE A SU PRIMERA REVALORACIÓN DESPUÉS DE SIETE DÍAS DE TRATAMIENTO. ACTUALMENTE CON

- Pedir ticket de compra no mayor a 24h comprado en esta sucursal, poner nombre del médico y firma autógrafa.
- Se ingresa al expediente del paciente o se realiza uno nuevo y en Servicios Médicos se elige Prueba COVID-19.
- Solicitar firma de Aviso de Privacidad COVID-19 y Carta Responsiva COVID-19.
- Realizar la prueba, como se indica a continuación:

- Retirar el cassette de prueba y colocar en una superficie plana y nivelada.
- Liberar la lanceta.
- Limpiar con una torunda alcoholada el dedo medio o anular y se pincha en la punta del dedo.
- Usar la segunda gota.
- Aspirar la gota por arriba a 1cm de la línea de llenado
- Colocar una gota de sangre y dos gotas del búffer.
- Esperar 10 minutos, no interpretar después de 20 minutos.

- Rellenar la primera parte del formulario de acuerdo al resultado, también anotar el número de ticket y guardar.
- En el siguiente formulario el sistema proporcionará un ID (ej. FA17663526), anotar ese ID en el margen del cassette de prueba, añadir correo del paciente o SOM en su defecto, fotografiar y adjuntar el resultado.
- Desechar la prueba en el contenedor RPBI.
- Notificar al paciente: en un plazo de 48h llegará resultado por escrito al correo del paciente o en su defecto al correo del SOM (mxr2mom@fahorro.com.mx).

- Llenar el formulario y adjuntar foto de prueba.
- Aplicar nueva prueba y volver a realizar el formulario.
- Desechar prueba fallida en contenedor RPBI.

Natalia Sánchez

Grupo Diagnóstico Aries

556 416 52 12

MARIA FERNANDA MARTINEZ GARCIA 03/08/99

REFIERE CUADRO DE DOS DÍAS DE EVOLUCIÓN CARACTERIZADO POR IRRITACIÓN EN ZONA DEL TATUAJE, NO REFIERE OTRA SINTOMATOLOGÍA.

80 21 36.3 120/80

1.58 61

ANDREA STEPHANIA SANCHEZ MUÑOZ 02/10/02

REFIERE CUADRO DE DOS DÍAS DE EVOLUCIÓN CARACTERIZADO POR DOLOR EN HOMBRO DERECHO SECUNDARIO A ESFUERZO FÍSICO.

80 21 36.7 100/70 1.60 63

Nuove tecnologie per la rimozione dei prodotti farmaceutici nelle acque reflue

Negli ultimi anni si ha la crescente preoccupazione per la presenza e il destino di farmaci nell'ambiente acquatico, i cui potenziali effetti ambientali sono in gran parte sconosciuti quando tali composti sono compresenti in miscela. La volontà di impedire completamente il loro ingresso negli ecosistemi, mossa dalla precauzione, stimola la ricerca su metodi di trattamento alternativi, tra questi il trattamento combinato con ozono e ultrasuoni. Da svariati studi si evince che le rese del processo per la rimozione di singoli composti farmaceutici selezionati sono efficaci ma nella realtà gli impianti devono fronteggiare reflui dalle caratteristiche sempre diverse e con miscele di contaminanti in differenti concentrazioni. Bisogna dunque mirare alla caratterizzazione di tali prodotti, comprendere meglio i processi e migliorare le tecnologie in modo da poter perseguire l’obiettivo.

Supporting Information for “Self-adaptive Learning in Memristor Convolutional Neural Networks”

and 9 collaborators