nils-herrmann/clean_scirepeval huggingface dataset:
OR05: COMPLETE RESEQUENCING OF EXTENDED GENOMIC REGIONS USING FOSMID TARGET CAPTURE AND SINGLE MOLECULE REAL TIME (SMRT(r) LONG READ SEQUENCING TECHNOLOGY
Year: 2014

The knowledge of complete haplotype structure and underlying genetic variation is often key in understanding gene function, phenotype, and medically relevant traits such as susceptibility to disease and individual response to drugs. However, genome wide SNP arrays and shotgun sequencing methods are limited in their ability to identify phased genetic variations at high resolution over extended localized regions.  To address this, we improved methods for targeted DNA isolation using fosmid technology and single molecule, long sequence read generation that combine for complete, haplotype resolved resequencing across extended genomic subregions. As specific applications, we targeted subregions of the human major histocompatibility complex (MHC) and the killer Ig like receptor (KIR) locus, two of the most polymorphic genomic regions in humans.  For the MHC region, an 800 kb segment of the MHC class II region including the highly polymorphic DR, DQ, and DP genes was targeted. Complete phased sequences were obtained encompassing the DR4 common extended haplotype a haplotype associated with autoimmune disorders from four class II heterozygous individuals. For the KIR locus, which spans some 200 kb including tandem repeats of highly homologous polymorphic loci, we targeted several KIR haplotype heterozygous individuals.  Complete phased sequences for all haplotypes were obtained from all individuals with a high level of data accuracy. The results demonstrate the approach is amenable to cost effective scale up to generate scores to hundreds of phased chromosomal sequences of extended lengths that encompass targeted genomic regions associated with disease.
Excessive use of mobile social networking sites and poor academic performance: Antecedents and consequences from stressor strain outcome perspective
Venue: Comput. Hum. Behav.
Year: 2018

The problematic use of social networking sites (SNSs) and its adverse consequences have become prevalent, yet little is known about the etiology of the problematic use of SNSs and academic performance. This study applied stress strain outcome (SSO) as the foundation of the model, and the proposed model was further refined using auxiliary theories such as dual system theory. The statistical analyses of time lagged data collected from 505 mobile SNS users imply that the excessive use of mobile SNSs causes a cognitive emotional preoccupation and that cognitive behavioral control in using SNSs weakens this relationship to overcome negative outcomes. Negative consequences diminish the academic performance of SNS users. This study contributed to research on the dark side of information system use by conceptualizing problematic use and explaining its drivers and consequences. This research provided important theoretical and practical implications.
He Yin Zi kBDui Xie Guan Jin Zhang Su IIYou Dao THP 1Yuan Xing Pao Mo Xi Bao ATPJie He He Zhuan Yun Zi A1Biao Da De Ying Xiang
Year: 2007

Mu De :Tan Tao He Yin Zi kB(NF kB)Dui Xie Guan Jin Zhang Su II(AngII)You Dao THP 1Yuan Xing Pao Mo Xi Bao ATPJie He He Zhuan Yun Zi A1(ABCA1)Biao Da De Ying Xiang Ji Zai Dan Gu Chun Liu Chu Zhong De Zuo Yong Fang Fa :THP 1Yuan Xing Pao Mo Xi Bao Fen Bie Gei Yu 10~mol/L AngII(AngIIZu 10mmol/LNF kBTe Yi Xing Yi Zhi Ji TPCKYu Fu (TPCKZu Cai Yong Jia Xin Mei Lian Mian Yi Fen Xi Fa Jian Ce Pao Mo Xi Bao Nei NF kBDe Huo Hua Cheng Du Tong Guo Tou She Dian Jing He Ying Guang Fen Guang Guang Du Ji Mei Hua Xue Fa ,Jian Ce Pao Mo Xi Bao Nei Dan Gu Chun Han Liang De Bian Hua Li Yong Shan Shuo Ji Shu Fa Ce Liang Pao Mo Xi Bao Nei Dan Gu Chun Liu Chu Lu Yong Ni Zhuan Lu Ju He Mei Lian Fan Ying Fa He Mian Yi Yin Ji Fa Ban Ding Liang Fen Xi Pao Mo Xi Bao ABCA1De Biao Da Jie Guo :TPCKZu NF kBHuo Hua He Yi Wei Ze Wu Ming Xian Gao Feng ,Wei Chi Zai Jiao Di De Shui Ping TPCKZu Pao Mo Xi Bao Nei Dan Gu Chun Han Liang Jiao AngIIZu Jiang Di 24.1%(P<0.05),Dan Gu Chun Liu Chu Lu Jiao AngIIZu Xian Zhu Sheng Gao 41.1%(P<0.05),ABCA1mR NAHe Dan Bai Biao Da Jiao AngIIZu Sheng Gao 30%He 19%(P<0.05) Jie Lun :AngIIKe Jing NF kBJie Dao Xia Diao THP 1Yuan Xing Pao Mo Xi Bao ABCA1De Biao Da ,Zhi Pao Mo Xi Bao Nei Dan Gu Chun Liu Chu Jian Shao ,Zeng Jia Pao Mo Xi Bao Nei Dan Gu Chun Han Liang ,Jia Su Dong Mai Zhou Yang
Dynamic User Clustering and Power Allocation for Uplink and Downlink Non Orthogonal Multiple Access (NOMA) Systems
Venue: IEEE Access
Year: 2016

Non orthogonal multiple access (NOMA) has recently been considered as a key enabling technique for 5G cellular systems. In NOMA, by exploiting the channel gain differences, multiple users are multiplexed into transmission power domain and then non orthogonally scheduled for transmission on the same spectrum resources. Successive interference cancellation (SIC) is then applied at the receivers to decode the message signals. In this paper, first, we briefly describe the differences in the working principles of uplink and downlink NOMA transmissions in a cellular wireless system. Then, for both uplink and downlink NOMAs, we formulate a sum throughput maximization problem in a cell such that the user clustering (i.e. grouping users into a single cluster or multiple clusters) and power allocations in NOMA clusters can be optimized under transmission power constraints, minimum rate requirements of the users, and SIC constraints. Due to the combinatorial nature of the formulated mixed integer non linear programming problem, we solve the problem in two steps, i.e. by first grouping users into clusters and then optimizing their respective power allocations. In particular, we propose a low complexity sub optimal user grouping scheme. The proposed scheme exploits the channel gain differences among users in an NOMA cluster and groups them into a single cluster or multiple clusters in order to enhance the sum throughput of the system. For a given set of NOMA clusters, we then derive the optimal power allocation policy that maximizes the sum throughput per NOMA cluster and in turn maximizes the overall system throughput. Using Karush Kuhn Tucker optimality conditions, closed form solutions for optimal power allocations are derived for any cluster size, considering both uplink and downlink NOMA systems. Numerical results compare the performances of NOMA and OMA and illustrate the significance of NOMA in various network scenarios.
Galangin Inhibits Cholangiocarcinoma Cell Growth and Metastasis through Downregulation of MicroRNA 21 Expression
Venue: BioMed research international
Year: 2020

Galangin, a natural flavonoid product derived from the root of galangal, is emerging as a promising anticancer agent against multiple cancers. Yet, whether it also has antitumor effects on cholangiocarcinoma (CCA) and the underlying mechanism is still unknown. Herein, we demonstrate that galangin exhibits multiple antitumor effects on CCA cells including decreases cell viability; inhibits proliferation, migration, and invasion; and induces apoptosis. Moreover, those phenotypic changes are associated with downregulated microRNA 21 (miR 21) expression. To support, overexpression of miR 21 blocks galangin mediated antisurvival and metastasis effects on CCA cells. Mechanically, galangin increases the expression of phosphatase and tensin homolog (PTEN) a direct target of miR 21, resulting in decreased phosphorylation of AKT, a protein kinase which plays a critical role in controlling survival and apoptosis. In contrast, overexpression of miR 21 abrogates galangin regulated PTEN expression and AKT phosphorylation. Taken together, these findings indicate that galangin inhibits CCA cell proliferation and metastasis and induces cell apoptosis through a miR 21 dependent manner, and galangin may provide a novel potential therapeutic adjuvant to treat CCA.
Las practicas escolares de participacion en la escuela secundaria. Desde el marco normativo a las experiencias y significados que otorgan los actores escolares y las madres a las jornadas nacionales escuela, familias y comunidad
Year: 2015

Compartimos los resultados parciales de un proyecto de beca de investigacion en torno a la problematica de la participacion en las practicas escolares dentro de la escuela secundaria. Esta integrado a una linea de investigacion sobre las politicas educativas y trabajo docente en el nivel medio del Instituto de Investigaciones en Educacion de la Facultad de Humanidades de la UNNE. El objetivo sustancial consiste en describir y analizar las jornadas Nacionales Escuela, Familias y Comunidad, desde el plano discursivo a la implementacion en las instituciones educativas; las experiencias vivenciadas y los significados atribuidos por los actores escolares y las madres. El estudio se desarrolla desde las lineas teoricas pedagogicas y aportes de la sociologia de la educacion. La metodologia responde al diseno cualitativo de caracter exploratorio. Hemos considerado relevante el empleo de diversas tecnicas de recoleccion de datos a traves de entrevistas en profundidad a distintos actores, observacion participante de tres Jornadas de trabajo, analisis de documentos y el diario de campo del investigador. Los datos recopilados fueron triangulados metodologicamente a traves del uso de los distintos tipos de estrategias y tecnicas. En ellos identificamos que entre los actores escolares y las madres, subyacen ciertos supuestos reclamos, resistencias, encuentros, desencuentros en vinculacion a las convocatorias y al sentido que otorgan a la participacion en las jornadas. El mismo proceso que se planteo como participativo, desde el marco normativo, es relativizado por estos, en relacion con lo que se imaginan sobre "lo que el otro y los otros pueden hacer"
Considerations of implant abutment and crown contour: critical contour and subcritical contour.
Venue: The International journal of periodontics restorative dentistry
Year: 2010

Adequately contoured implant restorations need to transition from the circumferential design of the implant head to the correct cervical tooth anatomy. The implant abutment may be used to effect this transition provided there is sufficient running room. Implant restorations have been described as overcontoured, flat, and undercontoured. It has been shown that overcontouring will generally cause apical positioning of the gingival margin, while undercontouring will induce the opposite effect. However, these terms have been applied arbitrarily and without allocating specific determinants. Furthermore, the concept of "contour" as originally adapted from tooth supported restorations needs to be redefined as it pertains to implant dentistry. Two distinct zones within the implant abutment and crown are defined as critical contour and subcritical contour. Any alteration of critical or subcritical contour can modify the soft tissue profile. The purpose of this paper is to determine the effect of abutment contour modifications at these zones on the peri implant soft tissues, including the gingival margin level, papillae height, gingival architecture, labial alveolar profile, and gingiva color.
Research on Preprocessing Algorithm of Two Camera Face Recognition Attendance Image Based on Artificial Intelligence
Venue: ICMTEL
Year: 2020

The traditional double camera face recognition attendance image preprocessing algorithm can not distinguish the target from the complex background. In order to solve this problem, an artificial intelligence based double camera face recognition attendance image preprocessing algorithm is proposed. First, artificial intelligence technology is used to extract the features of face recognition attendance image, and then spatial denoising algorithm is used to remove the noise of face recognition attendance image. On this basis, multi channel texture weighting algorithm is used to realize the double camera face recognition attendance image preprocessing. Therefore, a double camera face recognition image preprocessing algorithm based on artificial intelligence is completed. In the experiment, the infrared image of the face is tested to see whether the evaluation factors obtained by the two algorithms can distinguish the target from the complex background. Experimental results show that the algorithm has a short computing time and can distinguish targets in complex background in a short time.
ISW for the Treatment of Functional Class III Malocclusion by Crossbite Arch and MEAW Technique in an Adult
Year: 2018

ISW (Improved Super elastic Ti Ni alloy wire, developed by Tokyo Medical and Dental University) for the treatment of an adult anterior functional crossbite non extraction case will be discussed. This patient was 37 years old adult male whose chief complaint was irregular dentition. Clinical examination revealed a bilateral Class III molar relationship with anterior functional crossbite, severe crowding over upper anterior teeth and mild crowding over lower anterior with lower midline deviated to the right side. Active treatment included ISW leveling combined with crossbite arch performed to relieve crowding and to correct anterior crossbite. MEAW (Multi bend Edgewise Archwire) technique for the lower arch combined with Class III intermaxillary elastics (IME) was also performed. Treatment was completed within 25 months and adequate overbite and overjet were accomplished after the active treatment.
Domain Randomization and Pyramid Consistency: Simulation to Real Generalization Without Accessing Target Domain Data
Venue: 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2019

We propose to harness the potential of simulation for semantic segmentation of real world self driving scenes in a domain generalization fashion. The segmentation network is trained without any information about target domains and tested on the unseen target domains. To this end, we propose a new approach of domain randomization and pyramid consistency to learn a model with high generalizability. First, we propose to randomize the synthetic images with styles of real images in terms of visual appearances using auxiliary datasets, in order to effectively learn domain invariant representations. Second, we further enforce pyramid consistency across different "stylized" images and within an image, in order to learn domain invariant and scale invariant features, respectively. Extensive experiments are conducted on generalization from GTA and SYNTHIA to Cityscapes, BDDS, and Mapillary; and our method achieves superior results over the state of the art techniques. Remarkably, our generalization results are on par with or even better than those obtained by state of the art simulation to real domain adaptation methods, which access the target domain data at training time.
Ground System Architectures Workshop GMSEC SERVICES SUITE (GSS) an Agile Development Story
Year: 2017

The GMSEC (Goddard Mission Services Evolution Center) Services Suite (GSS) is a collection of tools and software services along with a robust customizable web based portal that enables the user to capture, monitor, report, and analyze system wide GMSEC data. Given our plug and play architecture and the needs for rapid system development, we opted to follow the Scrum Agile Methodology for software development. Being one of the first few projects to implement the Agile methodology at NASA GSFC, in this presentation we will present our approaches, tools, successes, and challenges in implementing this methodology. The GMSEC architecture provides a scalable, extensible ground and flight system for existing and future missions. GMSEC comes with a robust Application Programming Interface (GMSEC API) and a core set of Java based GMSEC components that facilitate the development of a GMSEC based ground system. Over the past few years, we have seen an upbeat in the number of customers who are moving from a native desktop application environment to a web based environment particularly for data monitoring and analysis. We also see a need to provide separation of the business logic from the GUI display for our Java based components and also to consolidate all the GUI displays into one interface. This combination of separation and consolidation brings immediate value to a GMSEC based ground system through increased ease of data access via a uniform interface, built in security measures, centralized configuration management, and ease of feature extensibility.
Self referential processing and emotion context insensitivity in major depressive disorder
Venue: The European journal of neuroscience
Year: 2020

We examined whether differential self perception influences the salience of emotional stimuli in depressive disorders, using a perceptual matching task in which geometric shapes were arbitrarily assigned to the self and an unknown other. Participants associated shapes with personal labels (e.g. "self" or "other" Each geometric shape additionally contained a happy, sad or neutral line drawing of a face. Participants then judged whether shape label pairs were as originally shown or re paired, whilst facial emotion was task irrelevant. The results showed biased responses to self relevant stimuli compared to other relevant stimuli, regardless of facial emotion, for both control and depressed participants. This was reflected in sensitivity (d' and drift rate (v) measures, suggesting that self bias and a bias towards emotion may reflect different underlying processes. We further computed bias scores by subtracting the "neutral" value of each measure (acting as baseline) from the "happy" and "sad" values of each measure, indexing an "emotional bias" (EB) score for "self" and "other" separately. Compared to control participants, depressed participants exhibited reduced "happy" and "sad" emotional biases, regardless of the self relevance of stimuli. This finding indicates that depressed participants may exhibit generalised Emotion Context Insensitivity (ECI) characterised by hyopoattention to both positive and negative information, at short stimulus presentations. The implications of this are discussed.
Super hyper singularity treatment for solving 3D electric field integral equations
Year: 2007

The super hyper singularity treatment is developed for solving three dimensional (3D) electric field integral equations (EFIE) EFIE usually takes two forms: one of which includes a super hyper singular kernel generated by the double gradient of the Green's function. So far, there is no way to evaluate these super hyper singular integrals needed for constructing the pertinent matrix equation. We apply the series expansion of the Green's function to the super hyper singular kernel and derive closed form expressions for their evaluations in the Cauchy principal value sense. The derivation is based on the constant current approximation over a flat triangle patch, but it can be extended easily to higher order approximations of the current. The scheme can be used to accurately calculate the near and self interaction terms in the impedance matrix for the method of moments (MoM) Nystrom method or boundary element method (BEM) (c) 2007 Wiley Periodicals, Inc. Microwave Opt Technol  1383 1388, 2007;
Using big data from Customer Relationship Management information systems to determine the client profile in the hotel sector
Year: 2018

Client knowledge remains a key strategic point in hospitality management. However, the role that can be played by large amounts of available information in the Customer Relationship Management (CRM) systems, when addressed by using emerging Big Data techniques for efficient client profiling, is still in its early stages. In this work, we addressed the client profile of the data in a CRM system of an international hotel chain, by using Big Data technology and Bootstrap resampling techniques for Proportion Tests. Strong consistency was found on the most representative feature of repeaters being traveling without children. Profiles were more similar for British and German clients, and their main differences with Spanish clients were in the stay duration and in age. For a vacation chain, these results suggest further analysis on the target orientation towards new market segments. Big Data technologies can be extremely useful for analyzing indoor data available in CRM information systems from hospitality industry.
InFO (Wafer Level Integrated Fan Out) Technology
Venue: 2016 IEEE 66th Electronic Components and Technology Conference (ECTC)
Year: 2016

A powerful integrated fan out (InFO) wafer level system integration (WLSI) technology has been developed to integrate application processor chip with memory package for smart mobile devices. This novel InFO technology is the first high performance Fan Out Wafer Level Package (FO_WLP) with multi layer high density interconnects proposed to the industry. In this paper we present the detailed comparison of InFO packages on package (InFO_PoP) with several other previously proposed 3D package solutions. Result shows that InFO_PoP has more optimized overall results on system performance, leakage power and area (form factor) than others, to meet the ever increasing system requirements of mobile computing. InFO technology has been successfully qualified on package level with robust component and board level reliability. It is also qualified at interconnect level with high electromigration resistance. With its high flexibility and strong capability of multi chips integration for both homogeneous and heterogeneous sub systems, InFO technology not only provides a system scaling solution but also complements the chip scaling and helps to sustain the Moore's Law for the smart mobile as well as internet of things (IoT) applications.
Steady Flow Approximation using Capsule Neural Networks
Venue: 2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM)
Year: 2020

CFD (Computational Fluid Dynamics) solvers have been very popular for fluid flow simulation which has been proved to be imperative to solve modern problems relating to analysis, design, and optimization in the field of aerodynamics. Nevertheless, CFD simulations are usually memory intensive and computationally demanding, iterative time consuming processes. Such drawbacks often affect productivity and limit the design space exploration and forbid interactive design. The real time prediction of fluid flow helps us to overcome these drawbacks. There have been many successful implementations of the application of Deep Neural Networks for the fluid flow prediction. Especially until now, CNNs (Convolutional Neural Networks) have been proven to be cutting edge solution for such approximations. However, CNN poses some challenges. We propose a new fluid flow approximation model for prediction of velocity field in non uniform steady laminar flow based on Capsule Neural Networks.
Standards, Tariffs and Trade: The Rise and Fall of the Raisin Trade between Greece and France in the Late 19th Century and the Definition of Wine
Year: 2017

There is much debate on the impact of product and process standards on trade. The conceptual arguments are complex and empirical evidence is mixed. We analyze the impact of standards and tariffs on the dramatic rise and fall of the raisin trade between France and Greece in the course of 25 years at the end of the 19th century. The case illustrates how product standards can be used to address consumer concerns and to protect producer interests. Economic conditions and French policies first stimulated Greek raisin imports. Later, changing conditions and political pressures led to the introduction of tariffs and wine standards which caused major declines in Greek exports and ultimately the bankruptcy of the Greek economy. Interestingly, this trade episode of more than a century ago still has a regulatory legacy today as it is the origin of the EU's definition of wine.