nils-herrmann/clean_scirepeval huggingface dataset:
Sperm borne miRNAs and endo siRNAs are important for fertilization and preimplantation embryonic development
Venue: Development
Year: 2016

Although it is believed that mammalian sperm carry small noncoding RNAs (sncRNAs) into oocytes during fertilization, it remains unknown whether these sperm borne sncRNAs truly have any function during fertilization and preimplantation embryonic development. Germline specific Dicer and Drosha conditional knockout (cKO) mice produce gametes (i.e. sperm and oocytes) partially deficient in miRNAs and/or endo siRNAs, thus providing a unique opportunity for testing whether normal sperm (paternal) or oocyte (maternal) miRNA and endo siRNA contents are required for fertilization and preimplantation development. Using the outcome of intracytoplasmic sperm injection (ICSI) as a readout, we found that sperm with altered miRNA and endo siRNA profiles could fertilize wild type (WT) eggs, but embryos derived from these partially sncRNA deficient sperm displayed a significant reduction in developmental potential, which could be rescued by injecting WT sperm derived total or small RNAs into ICSI embryos. Disrupted maternal transcript turnover and failure in early zygotic gene activation appeared to associate with the aberrant miRNA profiles in Dicer and Drosha cKO spermatozoa. Overall, our data support a crucial function of paternal miRNAs and/or endo siRNAs in the control of the transcriptomic homeostasis in fertilized eggs, zygotes and two cell embryos. Given that supplementation of sperm RNAs enhances both the developmental potential of preimplantation embryos and the live birth rate, it might represent a novel means to improve the success rate of assisted reproductive technologies in fertility clinics.  The developmental potential of embryos fertilized with sperm from germline specific Dicer or Drosha conditional knockout mice is impaired, highlighting key roles for paternal miRNAs/endo siRNAs.
Competitive advantage through Six Sigma at plastic injection molded parts manufacturing unit
Year: 2017

The purpose of this paper is to illustrate the successful application of Six Sigma at a small and medium scale plastic parts manufacturing unit. Overall operational excellence is one of the foundations of global competiveness. Indian industries are also keeping up with achieving and maintaining operational excellence through different improvement tools and methodologies. Plastic parts manufacturing industries in India are also on the move to increase their overall quality, productivity and profitability. However, it appears from the available literature that application of Six Sigma, one of the most effective breakthrough improvement strategies having direct impact on bottom line of the organization, is not being explored to its full potential, especially at plastic parts manufacturing industries in India. This study was thus undertaken at plastic products manufacturing plant to introduce Six Sigma to them by applying the same to their chronic problems and drawing improvements in quality, productivity and profitability.  This paper illustrates the real life case study of improving quality and productivity of injection molding process by phase wiz application of define, measure, analyze, improve and control, the process improvement methodology of Six Sigma.  The critical defects, such as short molding, contamination, injection point and flash are reduced from the process leading to annual savings of INR 10.80 lacs. This is a considerable amount for a small concern in question.  Because this was the pilot project and the firm was of small and medium size, data collection was the major issue, which consequently took considerable time and efforts at define and measure phases. Injection molding is a very salient process for plastic products manufacturing. Almost one third of plastic products are made by this process. Thus, improving quality of products made out of injection molding process is of paramount importance. The paper is an attempt to exhibit how a small scale plastic injection molded parts manufacturing unit can put fruitful efforts to achieve competitive advantage through Six Sigma.  From the review of literature, it appears that application of Six Sigma among plastic parts manufacturing units, especially small and medium, is very rare, not in India but across the globe. This case study has opened up the direction to small and medium scale plastic parts manufacturing units to implement Six Sigma and to move a step forward toward achieving competitive advantage.
Spin Weighted Spherical CNNs
Venue: NeurIPS
Year: 2020

Learning equivariant representations is a promising way to reduce sample and model complexity and improve the generalization performance of deep neural networks. The spherical CNNs are successful examples, producing SO(3) equivariant representations of spherical inputs. There are two main types of spherical CNNs. The first type lifts the inputs to functions on the rotation group SO(3) and applies convolutions on the group, which are computationally expensive since SO(3) has one extra dimension. The second type applies convolutions directly on the sphere, which are limited to zonal (isotropic) filters, and thus have limited expressivity. In this paper, we present a new type of spherical CNN that allows anisotropic filters in an efficient way, without ever leaving the spherical domain. The key idea is to consider spin weighted spherical functions, which were introduced in physics in the study of gravitational waves. These are complex valued functions on the sphere whose phases change upon rotation. We define a convolution between spin weighted functions and build a CNN based on it. Experiments show that our method outperforms the isotropic spherical CNNs while still being much more efficient than using SO(3) convolutions. The spin weighted functions can also be interpreted as spherical vector fields, allowing applications to tasks where the inputs or outputs are vector fields.
Smart Meters in Smart Grid: An Overview
Venue: 2013 IEEE Green Technologies Conference (GreenTech)
Year: 2013

Smart meter is one of the most important devices used in the smart grid (SG) The smart meter is an advanced energy meter that obtains information from the end users' load devices and measures the energy consumption of the consumers and then provides added information to the utility company and/or system operator. Several sensors and control devices, supported by dedicated communication infrastructure, are utilized in a smart meter. This paper outlines some smart meter's aspects and functions of smart meter. In addition, it introduces two basic types of smart meter system's communication technologies: Radio Frequency (RF) and Power Line Carrier (PLC) and recent advances with regard to these two technologies. This paper also presents different policy and current status as well as future projects and objectives of SG development in several countries. Finally, the paper compares some main aspects about latest products of smart meter from different companies.
THE INFLUENCE OF CELEBRITY ENDORSEMENT ON PURCHASE INTENTION OF WARDAH LIPSTICK PRODUCTS THROUGH BRAND IMAGE AND BRAND CREDIBILITY
Venue: Russian Journal of Agricultural and Socio Economic Sciences
Year: 2019

This study aims to analyze the influence of celebrity endorsement, brand image, brand credibility and purchase intention on consumers of Wardah lipstick products in Kediri City. The population of this study is consumers of Wardah lipstick products in the city of Kediri. The sampling technique used purposive sampling with 120 respondents and the data were analyzed using smartPLS 3.0. The test of research instruments includes the inner model test, outer model, path diagram conversion, and hypothesis testing. The results of this study indicate that celebrity endorsement directly does not affect the purchase intention of Wardah lipstick products. The role of brand image is able to mediate the influence of celebrity endorsement on purchase intention of Wardah lipstick products. The role of brand credibility is able to mediate the influence of celebrity endorsement on the purchase intention of Wardah lipstick products.
Cancer Genome Landscapes
Venue: Science
Year: 2013

Over the past decade, comprehensive sequencing efforts have revealed the genomic landscapes of common forms of human cancer. For most cancer types, this landscape consists of a small number of "mountains" (genes altered in a high percentage of tumors) and a much larger number of "hills" (genes altered infrequently) To date, these studies have revealed ~140 genes that, when altered by intragenic mutations, can promote or "drive" tumorigenesis. A typical tumor contains two to eight of these "driver gene" mutations; the remaining mutations are passengers that confer no selective growth advantage. Driver genes can be classified into 12 signaling pathways that regulate three core cellular processes: cell fate, cell survival, and genome maintenance. A better understanding of these pathways is one of the most pressing needs in basic cancer research. Even now, however, our knowledge of cancer genomes is sufficient to guide the development of more effective approaches for reducing cancer morbidity and mortality.
Usability, expectation, confirmation, and continuance intentions to use electronic textbooks
Venue: Behav. Inf. Technol.
Year: 2015

A trend in education is the use of electronic textbooks (e textbook, [Stone, R. W. and L. Baker Eveleth. 2013. "Students' Expectation, Confirmation, and Continuance Intention to Use Electronic Textbooks." Computers in Human Behavior 29 (3) 984 990. A variety of research has examined the motivations for e textbook adoption as well as continuance intentions of e textbooks after an initial adoption. This research extends the continuance intentions literature using the expectation confirmation model [Bhattacherjee, A. 2001. "Understanding Information Systems Continuance: An Expectation Confirmation Model." MIS Quarterly 25 (3) 351 370. and including the constructs of e textbook usability and its dimensions. The data were responses to an online questionnaire by students at a medium sized (USA) university. A total of 1434 responses were received for a 12.52% response rate. These responses were partitioned to include only complete responses from students who had previously used an e textbook. This produced a sample of 639 questionnaire responses for empirical analysis. The analysis was performed using structural equation modelling (i.e. Procedure Calis in PC SAS version 9.2) The results showed that students' continuance intentions of e textbooks are driven by students' satisfaction with e textbooks and perceived usefulness. Additionally, students' expectation confirmation and e textbook usability positively influence both students' satisfaction and perceived usefulness and hence the intentions for continued e textbook adoptions. Finally, the usability dimensions of efficiency and effectiveness significantly influence e textbook usability.
O Linked N Acetylglucosamine Is Present on the Extracellular Domain of Notch Receptors*
Venue: Journal of Biological Chemistry
Year: 2008

Rare types of glycosylation often occur in a domain specific manner and are involved in specific biological processes. In particular, O fucose glycans are reported to regulate the functions of EGF domain containing proteins such as Notch receptors. In the course of mass spectrometric analysis of O glycans displayed on Drosophila Notch receptors expressed in S2 cells, we found an unusual O linked N acetylhexosamine (HexNAc) modification which occurs at a site distinct from those of O fucose and O glucose glycosylations. Modification site mapping by mass spectrometry and amino acid substitution studies revealed that O HexNAc modification occurs on a serine or threonine located between the fifth and sixth cysteines within the EGF domain. This modification occurs simultaneously along with other closely positioned O glycosylations. This modification was determined to be O b GlcNAc by galactosyltransferase labeling and b N acetyl hexosaminidase digestion experiments and by immunoblotting with a specific antibody. O GlcNAc modification occurs at multiple sites on Notch epidermal growth factor repeats. O GlcNAc modification was also found on the extracellular domain of Delta, a ligand for Notch receptors. Although the O GlcNAc modification is known to regulate a wide range of cellular processes, the list of known modified proteins has previously been limited to intracellular proteins in animals. Thus, the finding of O GlcNAc modification in extracellular environments predicts a distinct glycosylation process that might be associated with a novel regulatory mechanism for Notch receptor activity.
Convolutional recurrent neural networks for electrocardiogram classification
Venue: 2017 Computing in Cardiology (CinC)
Year: 2017

We propose two deep neural network architectures for classification of arbitrary length electrocardiogram (ECG) recordings and evaluate them on the atrial fibrillation (AF) classification data set provided by the PhysioNet/CinC Challenge 2017. The first architecture is a deep convolutional neural network (CNN) with averaging based feature aggregation across time. The second architecture combines convolutional layers for feature extraction with long short term memory (LSTM) layers for temporal aggregation of features. As a key ingredient of our training procedure we introduce a simple data augmentation scheme for ECG data and demonstrate its effectiveness in the AF classification task at hand. The second architecture was found to outperform the first one, obtaining an Fi score of 82.1% on the hidden challenge testing set.
[The Role Development of Informatics Nurse Specialists in Taiwan]
Venue: Hu li za zhi The journal of nursing
Year: 2015

The development of information technology has changed the world and allowed the innovation of nursing care services. In recent years, the development of nursing informatics in Taiwan has been catching up with international trends and has been regarded positively by the international medical informatics community. The integration of information technology into medical care system has created the new nursing role of "informatics nurse." Although the certification system and job descriptions for these nurses have become increasingly comprehensive in many nations, Taiwan remains in the early development stage in these regards. Taiwan informatics nurses continue to face unclear and inadequately stated role responsibilities and job titles, undefined training requirements, and a lack of a clear qualification certification system. This paper introduces the role functions and professional growth of informatics nurses and introduces the framework for a certification system in order to give to various medical and paramedical staffs a better understanding of informatics nursing and to recognize the important role played by informatics nurses in the process of healthcare informatics development.
A status survey on clinical teaching towards postgraduates of master of nursing specialist in China
Year: 2020

To investigate the current status of clinical teaching towards postgraduates of master of nursing specialist(MNS) in China.  Objective sampling was used to invest 390 MNS clinical nursing teachers in 36 hospitals across the country. The survey included the admission and evaluation criteria of teachers, the MNS postgraduates' clinical teaching plan and implementation, and the assessment of MNS postgraduate's clinical practice ability, etc.  Among the criteria for clinical teachers for MNS postgraduates, 79.49% of departments required bachelor's degree or above, and 67.18% of departments requested medium grade professional title or above; 47.44% of the departments demanded that clinical teachers had the research experience, 58.21% departments asked for the experience of articles publication. The main method of selecting clinical teaching teachers was examination (50% while 31.28% departments had no definite criteria. The evaluation indicators of clinical teachers mainly depended on the results of students' clinical practice capability assessment (81.79% and students' satisfaction (80% Only 49.23% of the study objects knew the training objectives of MNS. The pivotal abilities of MNS graduate students were the ability of clinical nursing practice (91.79% and clinical research (82.82% The MNS postgraduate teaching plan of each department was mainly derived from the requirements of tutors and colleges (87.69% The mode of clinical teaching was that one student was guided by a fixed clinical teacher (87.18% Clinical practice assessment methods of MNS mainly included theoretical knowledge assessment (88.46% and the performance of section lectures (82.56% The assessment personnel were mainly clinical teachers (95.40% and head nurses (83.51% The self assessment of clinical teachers was rated at the medium level about their performance on the postgraduate MNS students' clinical teaching.  The homogenization and standardization of the construction of MNS clinical teaching base needs to be improved in China. In the field of defining the criteria of clinical teaching teachers, strengthening the construction of clinical faculty, perfecting the clinical teaching plan and evaluation system according to the cultivation objectives and specialist characteristics, and elevating the comprehensive medical education combined with clinical education and college education, further exploration is indispensable.  Master of nursing specialist; Clinical teaching; Status survey
Unified Intelligent Water Management Using Cyberinfrastructures Based on Cloud Computing and IoT
Venue: 2017 21st International Conference on Control Systems and Computer Science (CSCS)
Year: 2017

Water is one of the most precious natural resources to use in everyday life, agriculture and industry. New methods and approaches in order to find solutions to problems related to water management include adaptive management, predictive modeling, remote sensing, cybernetics, with introducing of new concepts such as: water security, virtual water, GIS integration, integrated systems or management of data in real time. In this paper we present the approach of the Water M project which is oriented to create new products and services, propose as a solution the construction of a unified water business model, of which will benefit European water stakeholders. We present the requirements elaborated for intelligent water networks as efficient and comprehensive management systems in the sphere of water utilities. This paper aim to make a review of state of the art of water management systems, which could be used in the Water M Project. The state of the art review is a first step for filling the user's requirements and expectations. This paper will try to identify this requirements and needs by using a questionnaire applied to various authorities in Romania.
Paraphrase Detection using Dependency Tree Recursive Autoencoder
Venue: 2019 5th International Conference on Advanced Computing Communication Systems (ICACCS)
Year: 2019

An architecture is proposed based on recursive autoencoder for paraphrase detection. The proposed architecture embeds the semantic information by using word representations generated from the neural network language model and the syntactic information by implementing the dependency tree over the recursive autoencoder, where dependency tree reveals the syntactic information of the given sentence in recursive form. The proposed architecture is tested on the MSRP dataset for paraphrase detection and the results are above the baseline. The proposed system reached a moderate accuracy and F1 score for the paraphrase detection test on MSRP dataset.
Zinc Oxide Nanostructures for NO2 Gas Sensor Applications: A Review
Venue: Nano micro letters
Year: 2015

Because of the interesting and multifunctional properties, recently, ZnO nanostructures are considered as excellent material for fabrication of highly sensitive and selective gas sensors. Thus, ZnO nanomaterials are widely used to fabricate efficient gas sensors for the detection of various hazardous and toxic gases. The presented review article is focusing on the recent developments of NO2 gas sensors based on ZnO nanomaterials. The review presents the general introduction of some metal oxide nanomaterials for gas sensing application and finally focusing on the structure of ZnO and its gas sensing mechanisms. Basic gas sensing characteristics such as gas response, response time, recovery time, selectivity, detection limit, stability and recyclability, etc are also discussed in this article. Further, the utilization of various ZnO nanomaterials such as nanorods, nanowires, nano micro flowers, quantum dots, thin films and nanosheets, etc for the fabrication of NO2 gas sensors are also presented. Moreover, various factors such as NO2 concentrations, annealing temperature, ZnO morphologies and particle sizes, relative humidity, operating temperatures which are affecting the NO2 gas sensing properties are discussed in this review. Finally, the review article is concluded and future directions are presented.
Metal free plasmonic refractory core shell nanowires for tunable all dielectric broadband perfect absorbers.
Venue: Optics express
Year: 2020

In this work, we numerically demonstrate a new facile strategy for all dielectric broadband optical perfect absorbers. A monolayer refractory titanium oxide and nitride (TiN/TiO2) core shell nanowires array is used to form the grating on the opaque TiN substrate. Multiple resonant absorption bands are observed in the adjacent wavelength range, which therefore leads to the formation of an ultra broadband absorption window from the visible to the infrared regime. The maximal absorption reaches 95.6% and the average absorption efficiency in the whole range (0.5 1.8 um) is up to 85.4% Moreover, the absorption bandwidth can be feasibly adjusted while the absorption efficiency can be still maintained in a high level via tuning the polarization state. Furthermore, the absorption window is observed to be highly adjustable in the wavelength range, showing a nearly linear relationship to the shell's index. These features not only confirm the achievement of the broadband perfect absorption but also introduce feasible ways to artificially manipulate the absorption properties, which will hold wide applications in metal free plasmonic optoelectronic devices such as the solar harvesting, photo detection, and thermal generation and its related bio medical techniques.
Analysis of near wake recovery scale model vawt hybrid wind turbin in wind tunnel
Venue: IOP Conference Series: Materials Science and Engineering
Year: 2019

CFD simulations of full scale wind turbine have been carried out to predict recovery of wake that occur behind the hybrid VAWT turbine double, which states that recovery starts to occur in plane x/d 4, verification of this result needs to be done. This study tested and measured the wind speed behind the scale model turbine in the wind tunnel. The purpose of this study was to create a prototype scale model of the VAWT hybrid, test it in the wind tunnel. Statistical methods will be used in this study to process data and determine the recovery position of wake from the VAWT double hybrid. The results show that wake recovery in wind tunnel experiment, in field x/d 3 with 99% compare with wake recovery occurs in simulation, shown a show the same trend, but need further investigation with similarity and Reynold number.