nils-herrmann/clean_scirepeval huggingface dataset:
Expresion de PPAR g y miR 27 en el tejido adiposo de pacientes obesos
Year: 2015

[ES]El sobrepeso y la obesidad presentan un enorme impacto socio sanitario y constituyen uno de los principales problemas de salud publica mundial, debido a su alta prevalencia y a la morbimortalidad asociada. Datos recientes indican que 2100 millones de personas tienen en la actualidad sobrepeso y se estima que la prevalencia mundial de obesidad en adultos alcanza el 27,5% Actualmente es conocido que la obesidad es el producto de la interaccion de una serie de factores ambientales y geneticos, que actuan a traves de mediadores de la ingesta y del gasto energetico. A nivel de la genetica la obesidad representa un arquetipo de modelo poligenico, en el que hay multiples genes asociados a la obesidad, los mas relevantes son aquellos que codifican la leptina, el receptor de leptina, el receptor cannabinoide de tipo 1, el receptor D2 de dopamina, el gen FTO (del ingles fat mass and obesity associated) o el gen de los receptores activados por proliferadores peroxisomicos (PPAR, del ingles peroxisome proliferator activated receptor) gamma. Este ultimo es un actor fundamental en la diferenciacion del tejido adiposo, el almacenamiento de los acidos grasos y el metabolismo de la glucosa. La actividad de PPAR gamma puede verse modificada por diferentes mecanismos de regulacion transcripcional, postranscripcional y por regulaciones asociadas a microARN, como son los miR 27a y miR 27b. Estudiamos la expresion mediante RT qPCR del PPAR gamma 1, del PPAR gamma 2, y de los micro ARN miR 27a y miR 27b en tejido de adiposo visceral y subcutaneo de 43 pacientes obesos con indice de masa corporal (IMC) 30 Kg/m2 y en 19 controles no obesos con IMC <30 Kg/m2. Ademas, se correlacionaron los niveles de expresion encontrados con variables clinicas y analiticas. No observamos diferencias en la expresion del PPAR gamma 1 y PPAR gamma 2 en el tejido adiposo visceral o subcutaneo de pacientes obesos comparados con controles; sin embargo, al estratificar por sexo, se encontro una disminucion significativa en los niveles de ARNm del PPAR gamma 1 en el tejido adiposo visceral de mujeres con obesidad (P 0,045) Asimismo, se observo una correlacion negativa entre los niveles de ARNm del PPAR gamma 1 en tejido adiposo visceral con el peso (Rho 0,305; P 0,016) y el IMC (Rho 0,325; P 0,001) esta correlacion inversa entre la expresion del PPAR gamma 1 y el peso fue mas fuerte en mujeres. Respecto al analisis de expresion del miR 27a y el miR 27b en el tejido adiposo subcutaneo y visceral, no se encontraron cambios en la expresion de estos micro ARN entre el grupo de casos y controles. La expresion de ambos micro ARN estaba correlacionada positivamente pero no se observo una asociacion in vivo entre sus niveles de expresion y los del PPAR gamma 1 y PPAR gamma 2. Finalmente, y por primera vez en la literatura, nuestro estudio ha mostrado una correlacion negativa entre los niveles del PPAR gamma 1 previos a la cirugia bariatrica con la perdida de peso y la reduccion del IMC en los primeros 12 meses tras la cirugia, tanto en tejido.
A meta cognitive interval type 2 fuzzy inference system and its projection based learning algorithm
Venue: Evol. Syst.
Year: 2014

A meta cognitive interval type 2 neuro fuzzy inference system (McIT2FIS) based classifier and its projection based learning algorithm is presented in this paper. McIT2FIS consists of two components, namely, a cognitive component and a meta cognitive component. The cognitive component is an interval type 2 neuro fuzzy inference system (IT2FIS) represented as a six layered adaptive network realizing Takagi Sugeno Kang type inference mechanism. A self regulatory learning mechanism forms the meta cognitive component. IT2FIS begins with zero rules, and rules are added and updated depending on the prediction error and relative knowledge contained the current sample. As each sample is presented to the network, the meta cognitive component monitors the hinge loss error and class specific spherical potential of the current sample to decide what to learn, when to learn and how to learn them, efficiently. When a new rule is added or when an existing rule is updated, a projection based learning algorithm computes the optimal output weights with least computational effort by finding analytical minima of the nonlinear energy function. It uses class specific criterion and sample overlap criterion to estimate the network parameters corresponding to the minimum energy point of the error function. Moreover, consistently under performing rules are pruned from the network leading to a compact network. The performance of McIT2FIS is first evaluated on a set of benchmark classification problems from UCI machine learning repository. A tenfold cross validation based performance comparison with other state of the art approaches indicates its improved performance. Next, its performance is evaluated on detection of attention deficiency hyperactivity disorder (ADHD) in children. The aim of this study is to classify a child as having typically developing controls or as an ADHD patient. Voxel based features extracted from amygdala region of the brain is employed in this study. The network is trained and tested on samples obtained from ADHD 200 consortium dataset consisting of 941 subjects. The performance comparison with standard support vector machine shows that McIT2FIS has superior classification ability than SVM in diagnosing ADHD.
Sozdanie novoi serii aneuploidnykh linii u khlopchatnika (Gossypium hirsutum L. s identifikatsiei otdel'nykh khromosom s pomoshch'iu translokatsionnykh i SSR markerov
Year: 2016

The use of monosomic lines significantly increases the effectiveness of molecular genetic analysis and the development of superior quality breeding lines via substitutions by alien chromosomes. A complete set of aneuploid series for each cotton chromosome was required. Simple sequence repeats (SSR) have been applied as useful markers for understanding cotton genetics. Several DNA markers have already been assigned to the individual chromosomes of Gossypium hirsutum. The primary objective of this paper is to report the creation of new monosomic lines and the use of chromosome specific simple sequence repeat (SSR) markers and translocation lines for chromosome identification to confirm chromosome specificity of monosomic lines in the Uzbek collection. Here, we summarize data on the development of a monosomic stock collection of cotton (G. hirsutum L. from Uzbekistan, including the origin of 95 primary monosomics, their cytogenetic characteristics, morphological features and their identification by translocation tests and chromosome SSR markers. Our results indicated several different monosomic lines identified by chromosomes 2, 4, 6 and telosome 11 of the At subgenome and chromosomes 18 and 22 of the Dt subgenome, 22 monosomes were identified as duplicates of three monosomes (chromosomes 2, 4 and 6) Chromosome 4 of the At subgenome was recovered more frequently (18 times) than chromosome 2 of the At subgenome (4 times) and chromosome 6 of the At subgenome (3 times) during pollen irradiation at different doses and in the progeny of the desynaptic plants. These lines will be useful for molecular mapping and enhancement of Upland cotton.
Economic Impact of Galma Irrigation Scheme on the Farming Community in Dakaci, Zaria Area of Nigeria
Year: 2014

Irrigation scheme is introduced for socioeconomic development of the community where it is based. One of such is the Galma Irrigation Fadama Project III around River Galma in Zaria Local Government Area of Kaduna State, Nigeria. The project provides water to surrounding communities for farming. This study was carried out with a view to determine the socioeconomic impact of the irrigation scheme on farming community in Dakaci, Zaria Area of Kaduna State. The study used data acquired from questionnaire survey, interviews and other secondary sources. Relevant data which include method of land acquisition, sources of capital, size of farmland, source of labor, major crops grown, average annual crop yield and average annual income were collected. The data were analyzed using simple descriptive statistics. The study revealed that the irrigation scheme to a large extent boosted crop yields and agricultural production in the area thereby improving the socioeconomic status of the farmers in the area. It is therefore recommended that more of such projects should be introduced to improve agricultural productivity. Moreover, there is the need for timely evaluation and assessment of such projects to maintain their proper functioning. In addition, government should refurbish the canals distributing the water to the farmlands, and also provide credit facilities to the farmers in order to improve their agricultural productivity which would help in ensuring food security for the nation at large.
Wheat performance with subclover living mulch in different agro environmental conditions depends on crop management
Year: 2018

Intercropping has been proposed as a useful strategy for reducing external inputs in cereal based cropping systems, while maintaining adequate crop yield. Intercropping of wheat and subclover, implemented as living mulch, is recommended, but there is limited experimental proof for its suitability in different environments. The main objective of this study was to provide an overview and evaluation of wheat subclover intercropping under different agro environmental conditions. Coordinated field experiments were conducted over a two year period in six sites located in four agro environmental zones [Atlantic North (Neu Eichenberg, Germany) Continental (Freising, Germany Tanikon, Switzerland) Mediterranean North (Viterbo, Italy) Mediterranean South (Sidi Alla Tazi and Sidi El Aidi, Morocco) Wheat subclover intercropping was compared with a pure wheat. Additionally, other treatments adopted in specific sites were: soil tillage (conventional and minimum tillage) fertilization input (high and low level) cropping system (conventional and organic) The measurements recorded were: soil coverage, wheat and subclover phenological stages, wheat grain yield and yield components, subclover and weed biomass. The data of each site were analyzed separately and were also used for a meta analysis to obtain an overview of how pedo climatic conditions affect the interactions of subclover living mulch with wheat and weeds. Subclover biomass was the highest at Viterbo (228 g m 2 of DM) proving its adaptability to the climatic conditions of Mediterranean North characterized by mild temperature and abundant rainfall. Wheat subclover intercropping reduced weed infestation (from 22 to 75% in Mediterranean South and North, respectively) Intercropping also resulted in grain yield losses compared to pure wheat in Mediterranean North and Continental (on average 16 and 14% respectively) probably because of the competition between the intercropped species. In the agro environmental zones where subclover growth was limited by cold temperatures (Atlantic North) or dry conditions (Mediterranean South) hardly any grain yield reduction of intercropped wheat was observed. Subclover biomass and wheat grain yield were also negatively correlated and yield reductions were generally due to a reduced number of fertile spikes. The yield gap between intercropped and pure wheat was reduced when: (i) there was a proper spatial arrangement of subclover and wheat; (ii) the amount of added mineral nitrogen fertilizer was reduced, while compost application did not influence the cropping systems. The use of subclover living mulch in wheat appears to be most suitable for low input systems. Future research should focus on the development of appropriate crop management practices for intercropping in order to avoid wheat yield loss.
Factors Impacting Customer Attitude toward Buying Halal Cosmetics in Jabodetabek
Year: 2020

The research aimed to analyze the relationship between religiosity, product involvement, customers' knowledge toward customers' attitudes on halal cosmetics, and the relationship between customers' attitudes on halal cosmetics towards customers' intention to buy them. The research used a self administrated questionnaire with close ended questions. The questionnaire was distributed as pretest to 30 respondents offline. Furthermore, the researchers received answers from 302 respondents out of 350 that were distributed. To assess the relationship between knowledge, involvement, and religiosity, a structural equation modeling technique was used. Data were analyzed using Smart PLS software to test validity and reliability. The findings its show that there is a positive relationship between knowledge, religiosity, and product involvement towards costumers' attitudes of halal cosmetics on Indonesian Muslim women. Moreover, the results indicate that Muslim women in Indonesia have more positive attitudes and intentions towards halal cosmetic products. The results of the research give implications to the firm in competing for the general and international brands for the halal cosmetic industry.
CHAPTER 13:Life Cycle Analysis of a Magnesium Sulfur Battery
Year: 2019

Although lithium ion batteries (LIBs) dominate the market for rechargeable batteries, alternative chemistries are under investigation to develop new batteries, so called "post lithium" systems. Among these alternatives, magnesium rechargeable batteries (MRBs) are considered promising, because they use low cost, abundant materials and offer potentially high energy densities. However, there is no information available about the environmental implications associated with the production of these batteries. This chapter identifies and quantifies environmental impacts for a prototype MRB, specifically a magnesium sulfur battery (Mg S) The Mg S cell is comprised of an Mg foil anode, a sulfur cathode, a magnesium tetrakis (hexafluoroisopropyloxy) borate electrolyte, a plastic separator, and aluminum composite pouch cell packaging. The estimation of the environmental impacts is based on a prospective life cycle assessment (LCA) following a cradle to gate approach. The life cycle inventory (LCI) of the Mg S battery is built on lab scale data, supplemented by information from industrial partners and literature. The indicative results identify the pouch cell housing and electricity requirements for battery manufacture as potential environmental hotspots. The comparison with existing LIB technology shows significant potential for further reduction of the estimated environmental impacts. At present, due to insufficient performance configuration of the prototype cell, the Mg S battery cannot compete with existing, highly optimized LIBs.
Hybrid attention convolution acoustic model based on variational autoencoder for speech recognition
Year: 2019

In a communication system, smart home and other speech based application, Automatic Speech Recognition (ASR) plays a crucial role, and its inputs usually are features extracted from a raw speech signal. A well designed feature extractor could improve the accuracy and reduced the computation complexity. The feature extraction is a basic processing unit not only in ASR but also in Text to Speech (TTS) Speaker conversion and other conversion systems. Meanwhile, through the analysis of the feature extracted with a labeled phone in each frame, the result could be used for improving TTS as well. The goal of the project is to build a new acoustic model used in ASR system based on neural network. Moreover, in the case, compared with main streaming acoustics modules, the most significant difference is that autoencoder introduces which makes the training of acoustic module becoming semi supervised learning from supervised learning. Feature extraction usually like Mel frequency cpectrum coefficient (MFCC) Linear predictive coding (LPC) Warped Minimum Variance Distortionless response cepstral coefficients (WMVDRCC) are based on standard digital signal processing while neural network based feature extraction is uncommon. Moreover, Deep Neural Network (DNN) has been proved as an efficient ASR method used the DNN module as an acoustic module in the ASR system. Meanwhile, the acoustic module could be built with Convolution Neural Network (CNN) or Long short term memory recurrent neural network (LSTM) In the master thesis, a hybrid attention mechanism is brought into acoustic. More specifically, time frequency attention weighting in autoencoder, a front stage of the acoustic model. And channel attention weighting in a phone classifier, postage of acoustic model. For accelerating this semi supervised later development in VGG BLSTM structure, a regularization method is developed for dynamic loss combine weighting. In this method, a regularization item is added to loss, which not also dynamic control weighting between two loss, but also push the weight to a preset value for smooth and steady loss decreasing.
Jalan Terjal UMKM dan Pedagang Kecil Bertahan di Tengah Pandemi Covid 19 dan Ancaman Krisis Ekonomi Global
Year: 2020

ABSTRACTWednesday, April 1, 2020, Minister of Finance Sri Mulyani Indrawati said that the four sectors most affected by the corona Covid 19 epidemic were households, MSMEs, corporations, and the financial sector. Households will experience a significant decline in terms of consumption because the community is no longer active outside the home so that purchasing power is decreasing and threatened with loss of income because they cannot work to fulfill their basic needs especially for poor and vulnerable families in the informal sector. The micro small and medium business sector (MSME) is under pressure due to not being able to conduct business activities so that the ability to meet credit obligations is disrupted, this increases the bank's Non Performing Loans (NPL) for MSMEs further worsening economic conditions. At the time of the 1997 1998 crisis where SMEs as economic saviors, now suffered a huge blow because there are restrictions on economic and social activities.
Test retest reliability of the short version of the everyday technology use questionnaire (S ETUQ)
Venue: Scandinavian journal of occupational therapy
Year: 2020

Everyday technologies (ET) such as smart phones, and internet banking are increasingly incorporated into daily activities. Therefore, valid assessments are needed to identify ability in ET use and to design and evaluate interventions.  To evaluate and compare the stability over time (test retest reliability) of measures generated with the short version of the Everyday Technology Use Questionnaire (S ETUQ) in older adults with cognitive impairment or mild dementia.  Data was collected with S ETUQ at two occasions (m 20.9 days in between) in a sample of (n 73) older adults with cognitive impairment of different origin (n 38) or mild dementia (n 35) Stability of each participant's S ETUQ measure was examined using standardised difference z comparisons. The test retest reliability coefficient of the S ETUQ measures was determined by Intraclass Correlation Coefficients. Comparisons were performed using Mann Whitney u tests.  The S ETUQ measures were statistically stable between the two occasions. Hence, the group of persons with cognitive impairment demonstrated slightly higher stability and fewer differences compared to the group with mild dementia. The ICCs (0.82 0.90) indicated good to excellent agreement.  S ETUQ can be used with older people with cognitive impairments of varying degree to gather reliable and precise information regarding their use of ET.
Wetland Fire Scar Monitoring and Analysis Using Archival Landsat Data for the Everglades
Year: 2013

The ability to document the frequency, extent, and severity of fires in wetlands, as well as the dynamics of post fire wetland land cover, informs fire and wetland science, resource management, and ecosystem protection. Available information on Everglades burn history has been based on field data collection methods that evolved through time and differ by land management unit. Our objectives were to (1) design and test broadly applicable and repeatable metrics of not only fire scar delineation but also post fire land cover dynamics through exhaustive use of the Landsat satellite data archives, and then (2) explore how those metrics relate to various hydrologic and anthropogenic factors that may influence post fire land cover dynamics. Visual interpretation of every Landsat scene collected over the study region during the study time frame produced a new, detailed database of burn scars greater than 1.6 ha in size in the Water Conservation Areas and post fire land cover dynamics for Everglades National Park fires greater than 1.6 ha in area. Median burn areas were compared across several landscape units of the Greater Everglades and found to differ as a function of administrative unit and fire history. Some burned areas transitioned to open water, exhibiting water depths and dynamics that support transition mechanisms proposed in the literature. Classification tree techniques showed that time to green up and return to pre burn character were largely explained by fire management practices and hydrology. Broadly applicable as they use data from the global, nearly 30 year old Landsat archive, these methods for documenting wetland burn extent and post fire land cover change enable cost effective collection of new data on wetland fire ecology and independent assessment of fire management practice effectiveness.
Graphene like nitrogen doped porous carbon nanosheets as both cathode and anode for high energy density lithium ion capacitor
Year: 2020

Carbon materials have unique stability and controllable structure for all carbon lithium ion capacitors (LICs) electrode materials. In this paper, we used chitosan as a carbon source and self doped nitrogen source, zinc nitrate as a templating agent. Hierarchical porous carbon nanosheets (PCNS) materials with graphene like structure and abundant nitrogen doping were prepared through a one step carbonization process. The PCNS materials were used as both capacitor type cathode and battery type anode for LICs. Due to the multi mesoporous and ultrathin nanosheets structure, a large specific surface area (1321.3 m2 g 1) was obtained of PCNS materials, which ensures a high specific discharge capacity of 65.8 mAh g 1 at 3 A g 1 for the capacitor type cathode. The interconnected graphene like structure not only provides a large adsorbable area but also reduces the diffusion distannce of ions between the surface of the electrode and electrolyte. When the PCNS materials used as an anode for LIC, it also appeared a high specific discharge capacity of 285.0 mAh g 1 at a big current density of 20 A g 1. Finally, all carbon symmetric LIC with a broad voltage window of 0.01 4.5 V was constructed successfully. The symmetric LIC shows a high energy density of 146 Wh kg 1 (at a power density of 1125 W kg 1) and an excellent capacity retention rate of 84.5% (10,000 cycles at 5 A g 1)
Embracing the Challenges and Opportunities of Mixed Media Relationships
Year: 2017

Social relationships unfold face to face and across an increasingly diverse set of mobile, Internet based media. Research on these mixed media relationships (MMRs) offers a unifying focus for understanding of how media use reflects and drives social relationships. Impediments to research on mixed media interaction include an over reliance on research focused on a single medium, incomplete and conceptually problematic classifications of media, and limited theoretic approaches. An alternative approach to understand MMRs, grounded in the challenges of managing complex, recurring interpersonal demands, is proposed. These demands include social coordination, impression management, regulating closeness and distance, and managing arousal and anxiety. Implications of MMRs for mediatization and mass communication are briefly examined.