nils-herrmann/clean_scirepeval huggingface dataset:
Leveraging complexity for ecosystemic innovation
Year: 2018

This paper looks at innovation ecosystems through the lens of complexity science, considering them as open non linear entities that are characterized by changing multi faceted motivations of networked actors, high receptivity to feedback, and persistent structural transformations. In the context of the growing organizational complexity of economies, driven by their adaptation to high uncertainty, and the central role of collaboration, we differentiate the innovation capacity of various types of business networks by the complexity of their internal interactions, thus identifying the place of innovation ecosystems in the world of business networks, as well as the place of innovation clusters among other innovation ecosystems. We observe how innovation ecosystems have been viewed in four different research streams: management literature; the inter firm and business network stream of economic and sociological literature; the innovation policy and competitiveness agenda in economic literature; and the dichotomy of localized and economy wide innovation ecosystems in policy studies (in economic literature, evolutionary geography, and regional research) We then describe generic properties of innovation ecosystems in terms of complexity science, viewing them as complex adaptive systems, paying special attention to the complexity of innovation clusters. We compare complexity thinking of modern economies, deriving from their emerging ecosystem design, with traditional thinking conceived for industrial era, drawing insights for a better transition to innovation led growth. We conclude with a summary of key findings, practical and policy implications and recommendations for further study.
New approach for cardiac patients based on pacemaker device
Year: 2021

This current research work consists of the development of a new e health application for the patients that have a cardiac problem and use a pacemaker. It allows: (1) heartbeat measure, (2) blood pressure surveillance, and (3) oxygen consumption surveillance. The main goal of our application is to assist the patients that have a pacemaker at any time and at any place. An IoT application based on remote sensing architecture is developed to avoid any critical state for the patients with pacemaker when catastrophe happened at any time and to react immediately. The different implemented sensor will transfer data from the patient's body to the cloud API. Then, the different patients will be under permanent control and efficient monitor in smart environment. This solution is proposed for the well being of each cardiac patient since that the doctor can know from the gathered data if everything is under control or not. If the heart does not beat regularly or the patient has trouble breathing, the responsible doctor and the patient in question will be alerted automatically. The Iot application is implemented and a real simulations are done to highlight the importance of our e health remote sensing based application.
Accelerating the Super Resolution Convolutional Neural Network
Venue: ECCV
Year: 2016

As a successful deep model applied in image super resolution (SR) the Super Resolution Convolutional Neural Network (SRCNN) [1, 2] has demonstrated superior performance to the previous hand crafted models either in speed and restoration quality. However, the high computational cost still hinders it from practical usage that demands real time performance (24 fps) In this paper, we aim at accelerating the current SRCNN, and propose a compact hourglass shape CNN structure for faster and better SR. We re design the SRCNN structure mainly in three aspects. First, we introduce a deconvolution layer at the end of the network, then the mapping is learned directly from the original low resolution image (without interpolation) to the high resolution one. Second, we reformulate the mapping layer by shrinking the input feature dimension before mapping and expanding back afterwards. Third, we adopt smaller filter sizes but more mapping layers. The proposed model achieves a speed up of more than 40 times with even superior restoration quality. Further, we present the parameter settings that can achieve real time performance on a generic CPU while still maintaining good performance. A corresponding transfer strategy is also proposed for fast training and testing across different upscaling factors.
Perfil funcional despues de un entrenamiento con pesas en jugadores de futbol entre 15 y 19 anos de edad de las divisiones menores del Club Santa Fe C.D.
Year: 2018

Teniendo en cuenta el nivel de alta competencia que tiene el futbol en los ultimos anos, se hace necesaria una preparacion desde temprana edad acorde con los principios del entrenamiento deportivo y las ciencias aplicadas al deporte. El proposito de este trabajo fue disenar y aplicar un programa de entrenamiento con pesas durante un periodo de 10 semanas consecutivas, realizando una evaluacion antes y despues de aplicar dicho programa, para determinar si se presentan cambios en la fuerza muscular y en el perfil funcional de los futbolistas en cuanto a velocidad, resistencia, habilidades deportivas y medidas antropometricas. La poblacion estuvo conformada por 35 jugadores de futbol de las divisiones menores del Club Santa Fe Corporacion deportiva, con edades entre los 15 y 19 anos. Dado el tamano de la poblacion estudio, esta correspondio a la muestra de la investigacion. Se utilizo un diseno preexperimental tipo pretest postest con un solo grupo.  Se encontraron cambios significativos en la fuerza muscular, resilencia, habilidades deportivas (autopase y tiro con pierna izquierda y tiro de esquina con pierna izquierda) medidas antropometricas (triceps, subescapular, subespinal, abdomen, pierna, brazo caido, antebrazo, muneca, pecho, cadera, muslo, pierna, tobillo) composicion corporal (porcentaje oseo, graso y peso magro y en el somatotipo) Conclusiones: El programa de entrenamiento con pesas alterno al entrenamiento de campo tiene efectos positivos en las caracteristicas propias e indispensables en los jugadores de futbol.(AU)
Anti cancer activity of new benzyl isoquinoline alkaloid from Saudi plant Annona squamosa
Venue: BMC Chemistry
Year: 2019

Two alkaloids, belonging to benzylisoquinoline alkaloids, were isolated from Annona squamosa. One of these alkaloids, 6, 7 dimethoxy 1 (a hydroxy 4 methoxybenzyl) 2 methyl 1, 2, 3, 4 tetrahydroisoquinoline, was isolated for the first time from natural sources, while, the alkaloid, Coclaurine was known in Annona squamosa L. Moreover, the isolated alkaloids tested for the anti cancer activities on various cell lines (HepG 2, MCF 7, and HCT 116)
HUBUNGAN ANTARA REGULASI DIRI DENGAN PERENCANAAN KARIR PADA MAHASISWA FAKULTAS KEDOKTERAN UNSYIAH
Year: 2015

ABSTRAK Lulusan kedokteran yang dianggap pasti mendapatkan pekerjaan ternyata juga ada yang menjadi pengangguran, saat ini terdapat 35% dokter di Indonesia yang menganggur, untuk itu dibutuhkan regulasi diri (pengaturan diri) dan perencanaan karir yang baik untuk meminimalisir pengangguran. Penelitian ini bertujuan untuk mengetahui hubungan antara regulasi diri dengan perencanaan karir pada mahasiswa Fakultas Kedokteran Unsyiah. Pengambilan sampel yang digunakan dalam penelitian ini diperoleh dengan menggunakan metode probability sampling dengan teknik random sampling. Sampel penelitian berjumlah 243 mahasiswa pendidikan profesi dokter. Alat ukur yang digunakan adalah The Short Self Regulation Questionnaire (SSRQ) dan Skala Perencanaan Karir yang disusun sendiri oleh peneliti. Hasil analisis data menggunakan teknik korelasi Pearson menunjukkan koefisien korelasi (rxy) sebesar 0,672 dengan nilai p 0,000 (p
Quality controlled logistics in food supply chain networks: integrated decision making on quality and logistics to meet advanced customer demands
Year: 2007

Western European consumers have become more demanding on product availability in retail outlets and food attributes such as quality, integrity, safety. When (re)designing food supply chain networks one has to take these demands into consideration next to traditional efficiency and responsiveness requirements. In food science literature, much attention has been paid to food quality decay modeling and the development of Time Temperature Indicators to individually monitor the temperature conditions of food products throughout distribution. This paper discusses opportunities to use time dependent product quality information to improve the design of food supply chain networks. If product quality in each step of the supply chain can be predicted in advance, goods flows can be controlled in a pro active manner and better chain designs can be established. A case is presented to illustrate the value of this innovative concept of Quality Controlled Logistics.
Pathogenicity and Viral Shedding of MERS CoV in Immunocompromised Rhesus Macaques
Venue: Front. Immunol.
Year: 2018

Middle East respiratory syndrome coronavirus (MERS CoV) has recently emerged in the Middle East. Since 2012, there have been approximately 2,100 confirmed cases, with a 35% case fatality rate. Disease severity has been linked to patient health status, as people with chronic diseases or an immunocompromised status fare worse, although the mechanisms of disease have yet to be elucidated. We used the rhesus macaque model of mild MERS to investigate whether the immune response plays a role in the pathogenicity in relation to MERS CoV shedding. Immunosuppressed macaques were inoculated with MERS CoV and sampled daily for 6 days to assess their immune statues and to measure viral shedding and replication. Immunosuppressed macaques supported significantly higher levels of MERS CoV replication in respiratory tissues and shed more virus, and virus disseminated to tissues outside of the respiratory tract, whereas viral RNA was confined to respiratory tissues in non immunosuppressed animals. Despite increased viral replication, pathology in the lungs was significantly lower in immunosuppressed animals. The observation that the virus was less pathogenic in these animals suggests that disease has an immunopathogenic component and shows that inflammatory responses elicited by the virus contribute to disease.
Etudes des proprietes physiques et chimiques de la surface des substrats de Silicium apres decoupe dans les applications aux cellules solaires photovoltaiques
Year: 2018

Pour l'industrie photovoltaique (PV) l'optimisation de la decoupe de lingot de silicium en tranches represente un enjeu a la fois economique et scientifique. Enjeu economique en ce qu'il est important de reduire la perte de matiere induite par la decoupe. Enjeu scientifique en ce qu'il est necessaire de comprendre l'impact du sciage sur la qualite du silicium au voisinage de la surface. Ce travail de these de doctorat a pour objectif de caracteriser la nature et l'extension de l'endommagement genere par une technique innovante de decoupe realisee a l'aide de fils diamantes. Un objectif majeur est d'evaluer l'epaisseur de la couche de silicium perturbee (appelee SSD) Afin de caracteriser la SSD, des analyses physico chimiques en fonction de la profondeur ont ete realisees d'une part, sur des echantillons bruts de decoupe en surface, en coupes biaises ou transverses et d'autre part, par enlevement progressif de matiere par des attaques chimiques en solutions diluees. Des protocoles de preparation d'echantillons ainsi que de nombreuses techniques de caracterisation ont ete utilisees. En particulier des techniques de microscopie (optique, confocale, electronique MEB et TEM) de spectroscopie de photoelectrons (XPS) de diffraction de rayons X (DRX) de spectroscopie Raman ainsi que des essais de resistances mecaniques aboutissent a une caracterisation multi echelle des tranches et de coupons. Un polissage en coupes biaises avec un angle faible permet d'etendre la zone d'observation des defauts en profondeur et d'en faire une analyse statistique. De plus, des methodes de mesure de duree de vie des porteurs minoritaires sont exploitees pour evaluer les processus de recombinaison sur la couche perturbee. Le temps de vie a ete obtenu via la mesure de la decroissance de photoconductivite (PCD) sur des surfaces passivees par differents materiaux (SiNx :H, Al2O3) et procedes de depots (PECVD, ALD) D'abord, la caracterisation des echantillons bruts de decoupe indique que les defauts majeurs de la SSD sont des fissures generees par la decoupe et qui se propagent en subsurface. Ces fissures se distribuent sur des profondeurs variables et heterogenes selon les conditions de decoupe. Ensuite, les resultats de la methode par enlevement controle montrent, d'une part, un effet de la SSD dans les processus de recombinaison. La precision d'evaluation de cet effet est conditionnee par des passivations de surface optimisees et des mesures fiables du temps de vie. D'autre part, ils montrent une interaction de l'attaque chimique avec les fissures. Ce dernier point est determinant dans l'evaluation de l'epaisseur de la SSD globale pouvant impacter les performances des cellules solaires.
Choice of Multiple Route Analysis Based on General GPS Trajectories Visually
Venue: 2018 3rd International Conference on Communication and Electronics Systems (ICCES)
Year: 2018

Course proposal is an essential component of GPS way systems. As of late, Microsoft T power has been empowered to advocate courses picked with the aid of experienced cabbies for given source/aim suits in given eras, which regularly take less time than the publications figured through separate. Be that as it can, in true conditions, cab drivers may utilize unique guides to acquire a comparable goal, which we call course average range. In this paper we initiate a route representation approach that appears at the locales in which the first rate variety exists and in a while increase some novel belief techniques to reveal the excessive dimensional traits and measurements associated with numerous guides to permit clients to interrupt down diverse variety designs. Our structures have been linked to the actual direction info of hundreds of taxicabs and a few impressive discoveries approximately direction diverse range had been acquired. We additionally show that our framework may be utilized to advise better guides for drivers in addition to research movement bottlenecks for transportation administration.
Localization Guided Fight Action Detection in Surveillance Videos
Venue: 2019 IEEE International Conference on Multimedia and Expo (ICME)
Year: 2019

Automatic detection of fight behaviors in surveillance videos is an important task for surveillance systems. In this work, we propose a novel localization guided framework for detecting fight actions in surveillance videos. Specifically, we exploit optical flow maps to extract motion activation information, which indicates the location of active regions. Then, a detection guided alignment module is designed to adjust the localized active regions. This approach employs a two stream based 3D convolution network as the backbone network with a novel motion acceleration representation on the temporal stream. While most existing methods are still evaluated on three benchmark datasets which were not originally collected from surveillance scenarios, we present a novel Fight Action Detection in Surveillance videos (FADS) dataset for this purpose. With a total of 1,520 video clips, the FADS is the largest known dataset in terms of number of surveillance videos with fight scenes. Experimental results on both the benchmark datasets and the FADS show that our proposed localization guided method outperforms state of the art techniques.
The Effect of Airline's Professional Models on Brand Loyalty: Focusing on Mediating Effect of Brand Attitude
Year: 2020

This study investigates the importance of professional models in the promotion of the corporate brand attitude through differentiated marketing strategies in the saturated low cost carrier (LCC) aviation market. The attributes of professional models affect brand attitude and brand loyalty. The study seeks to identify the factors affecting brand loyalty through the contribution of professional models. The empirical analysis is based on a questionnaire survey conducted online and off line over a seven month period, from January to July 2019. Some 292 valid samples could be used. The study conducted a positive factor analysis using AMOS 18.0 and a reliability analysis using SPSS 18.0. Reliability of measurement tools was performed using Cronbach's alpha. The attributes of professional models relating to airline advertising include: reliability, attractiveness and expertise. These attributes are shown to have a significant impact on brand attitude and brand loyalty toward LCCs. The findings reveal that reliability and expertise have a significant influence on the brand attitude and the formation of brand loyalty. Professional models' attractiveness has no significant impact on brand attitudes and brand loyalty. The mediating effect of professional models' attributes on the relationship between brand attitude and brand loyalty also show a significant positive effect.
Unveiling the complexity of the maize transcriptome by single molecule long read sequencing
Venue: Nature communications
Year: 2016

Zea mays is an important genetic model for elucidating transcriptional networks. Uncertainties about the complete structure of mRNA transcripts limit the progress of research in this system. Here, using single molecule sequencing technology, we produce 111,151 transcripts from 6 tissues capturing ~70% of the genes annotated in maize RefGen_v3 genome. A large proportion of transcripts (57% represent novel, sometimes tissue specific, isoforms of known genes and 3% correspond to novel gene loci. In other cases, the identified transcripts have improved existing gene models. Averaging across all six tissues, 90% of the splice junctions are supported by short reads from matched tissues. In addition, we identified a large number of novel long non coding RNAs and fusion transcripts and found that DNA methylation plays an important role in generating various isoforms. Our results show that characterization of the maize B73 transcriptome is far from complete, and that maize gene expression is more complex than previously thought.
When big data meets software defined networking: SDN for big data and big data for SDN
Venue: IEEE Network
Year: 2016

Both big data and software defined networking (SDN) have attracted great interests from both academia and industry. These two important areas have traditionally been addressed separately in the most of previous works. However, on the one hand, the good features of SDN can greatly facilitate big data acquisition, transmission, storage, and processing. On the other hand, big data will have profound impacts on the design and operation of SDN. In this paper, we present the good features of SDN in solving several issues prevailing with big data applications, including big data processing in cloud data centers, data delivery, joint optimization, scientific big data architectures and scheduling issues. We show that SDN can manage the network efficiently for improving the performance of big data applications. In addition, we show that big data can benefit SDN as well, including traffic engineering, cross layer design, defeating security attacks, and SDN based intra and inter data center networks. Moreover, we discuss a number of open issues that need to be addressed to jointly consider big data and SDN in future research.
Assessment of Housing Needs in the Core Area of Akure, Nigeria
Year: 2019

This research examined housing needs in the core area of Akure, Nigeria. This was carried out by identifying the existing housing stock, housing condition and the extent of housing needs in the study area. Six residential neighborhoods were selected from the core area of the city due to their homogeneity characteristics. The study made used of the existing demographic and land use characteristics, primary and secondary data were used for the data collection. A total number of 198 buildings were selected and sampled in the area. Literature was also consulted for proper understanding of the subject matter. The study revealed that, houses in the study area had poor environmental outlook. On housing condition, 50% of the dwellings assessed were either sub standard or unfit for human habitation. More than 50% of the residential buildings had one or more major defects. Some of the houses were overcrowded and subjected to tenant's abuse by internal conversion to increase the occupancy rate. The research recommends the need for affordable housing strategy, governmental and institutional intervention to cater for general inadequacies of infrastructures, such as roads, drains, waste disposal and recreational facilities. Stakeholders should collaborate towards enforceable standards for redevelopment and upgrading that could guarantee sustainable development.
The Positive Impact and Associated Mechanisms of Physical Activity on Mental Health in Underprivileged Children and Adolescents: An Integrative Review
Venue: Behavioral sciences
Year: 2020

Review based studies are required to consider the different designs and data that describe the association between physical activity and mental health for underprivileged children and adolescents. There is a particular need to identify mechanisms which could explain the association, and factors which influence the association in this population group.  An integrative review with a systematic search was conducted in three stages: (i) a systematic literature search on four databases from inception until May 2020. Studies were eligible if they examined underprivileged children, involved moderate to vigorous physical activity (MVPA) and had a focus on at least one outcome measure related to mental health. (ii) Two critical appraisal tools were used to assess quality across different study designs. (iii) Synthesis was undertaken in four stages, examining social, internal and physical outcomes and mechanisms.  A total of 16 studies were included (2 qualitative; 12 quantitative and 2 mixed methods) Fifteen (15/16; 93.8% showed an association between MVPA and a significant improvement in at least one mental health outcome. The most studied outcomes included: internal aspects (n 14) significant effects were identified in 12/14 studies; social aspects (n 6) significant effects were identified across all studies and finally physical aspects (n 5) significant effects were found in 3/5 studies. Autonomy support was identified as a mechanism to explain the change, whilst age and gender influenced the strength of the association.  The findings provide confirmation of the link between MVPA and the improved mental health and wellbeing of disadvantaged children and adolescents. Future research must consider the long term effect through longitudinal studies, along with determining whether any specific types of PA are more impactful than others.