nils-herrmann/clean_scirepeval huggingface dataset:
A high definition Mueller polarimetric endoscope for tissue characterisation
Venue: Scientific reports

The contrast mechanism of medical endoscopy is mainly based on metrics of optical intensity and wavelength. As another fundamental property of light, polarization can not only reveal tissue scattering and absorption information from a different perspective, but can also provide insight into directional tissue birefringence properties to monitor pathological changes in collagen and elastin. Here we demonstrate a low cost wide field high definition Mueller polarimetric endoscope with minimal alterations to a rigid endoscope. We show that this novel endoscopic imaging modality is able to provide a number of image contrast mechanisms besides traditional unpolarized radiation intensity, including linear depolarization, circular depolarization, cross polarization, directional birefringence and dichroism. This enhances tissue features of interest, and additionally reveals tissue micro structure and composition, which is of central importance for tissue diagnosis and image guidance for surgery. The potential applications of the Mueller polarimetric endoscope include wide field early epithelial cancer diagnosis, surgical margin detection and energy based tissue fusion monitoring, and could further benefit a wide range of endoscopic investigations through intra operative guidance.
Mindsets shape consumer behavior

Mindsets or implicit theories are the beliefs people have about the nature of human characteristics. This article applies mindset theory and research to the field of consumer behavior. Specifically, we suggest how a fixed or growth mindset may shape consumer product preferences, acceptance of brand extensions, trust recovery following product failures, as well as the effectiveness of advertising and marketing campaigns. We argue that people with a fixed mindset are more likely to seek products and brands in line with their goals to burnish their self image and demonstrate their positive qualities, while people with a growth mindset seek products that help them pursue their goals to improve and learn new things. Thus, products and brands may serve important self enhancement functions encouraging consumers to reinforce or expand core aspects of their identity. We also suggest that brands and companies can project a fixed or growth mindset. In turn, these organizational mindsets should shape consumers' expectations of, and relationships with, products, brands, and companies.
The relationship between mono abundance and mono age stellar populations in the Milky Way disk

Studying the Milky Way disk structure using stars in narrow bins of [Fe/H] and [alpha/Fe] has recently been proposed as a powerful method to understand the Galactic thick and thin disk formation. It has been assumed so far that these mono abundance populations (MAPs) are also coeval, or mono age, populations. Here we study this relationship for a Milky Way chemo dynamical model and show that equivalence between MAPs and mono age populations exists only for the high [alpha/Fe] tail, where the chemical evolution curves of different Galactic radii are far apart. At lower [alpha/Fe] values a MAP is composed of stars with a range in ages, even for small observational uncertainties and a small MAP bin size. Due to the disk inside out formation, for these MAPs younger stars are typically located at larger radii, which results in negative radial age gradients that can be as large as 2 Gyr/kpc. Positive radial age gradients can result for MAPs at the lowest [alpha/Fe] and highest [Fe/H] end. Such variations with age prevent the simple interpretation of observations for which accurate ages are not available. Studying the variation with radius of the stellar surface density and scale height in our model, we find good agreement to recent analyses of the APOGEE red clump (RC) sample when 1 4 Gyr old stars dominate (as expected for the RC) Our results suggest that the APOGEE data are consistent with a Milky Way model for which mono age populations flare for all ages. We propose observational tests for the validity of our predictions and argue that using accurate age measurements, such as from asteroseismology, is crucial for putting constraints on the Galactic formation and evolution.
Three dimensional distribution of ejecta in Supernova 1987A at 10 000 days

Due to its proximity, SN 1987A offers a unique opportunity to directly observe the geometry of a stellar explosion as it unfolds. Here we present spectral and imaging observations of SN 1987A obtained ~10,000 days after the explosion with HST/STIS and VLT/SINFONI at optical and near infrared wavelengths. These observations allow us to produce the most detailed 3D map of H alpha to date, the first 3D maps for [Ca II] \lambda \lambda 7292, 7324, [O I] \lambda \lambda 6300, 6364 and Mg II \lambda \lambda 9218, 9244, as well as new maps for [Si I][Fe II] 1.644 \mu m and He I 2.058 \mu m. A comparison with previous observations shows that the [Si I][Fe II] flux and morphology have not changed significantly during the past ten years, providing evidence that it is powered by 44Ti. The time evolution of H alpha shows that it is predominantly powered by X rays from the ring, in agreement with previous findings. All lines that have sufficient signal show a similar large scale 3D structure, with a north south asymmetry that resembles a broken dipole. This structure correlates with early observations of asymmetries, showing that there is a global asymmetry that extends from the inner core to the outer envelope. On smaller scales, the two brightest lines, H alpha and [Si I][Fe II] 1.644 \mu m, show substructures at the level of 200 1000 km/s and clear differences in their 3D geometries. We discuss these results in the context of explosion models and the properties of dust in the ejecta.
The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES)

Industry 4.0 dictates the end of traditional centralized applications for production control. Its vision of ecosystems of smart factories with intelligent and autonomous shop floor entities is inherently decentralized. Responding to customer demands for tailored products, these plants fueled by technology enablers such as 3D printing, Internet of Things, Cloud computing, Mobile Devices and Big Data, among others create a totally new environment. The manufacturing systems of the future, including manufacturing execution systems (MES) will have to be built to support this paradigm shift.
Intelligent Predictive Maintenance IPdM System Industry 4.0 Scenario

Industry 4.0 is a collective term for technologies and concepts of value chain organization. Based on the technological concepts of Radio Identification (RFID) Cyber Physical Systems (CPS) the Internet of Things (IoT) Internet of Services (IoS) and Data Mining (DM) it facilitates the vision of the Smart Factory. Within the modular structured Smart Factories of Industry 4.0, CPS monitor physical objects and processes to create a virtual copy of the physical world and make decentralized controls and decisions. Over the Internet of Things, Cyber Physical Systems communicate and cooperate with each other and humans in real time. Via the Data Mining and Internet of Services, both internal and cross organizational services are offered and utilized by participants of the value chain. Although Industry 4.0 is currently a top priority for many industries, research institutes, and universities, a generally accepted definition of the term does not exist. This paper provides a definition of Industry 4.0 and identifies some main principles for implementation. In order to clearly understand what Industry 4.0 looks like, we will show an Intelligent Predictive Maintenance (IPdM) system for reaching Zero Defect Manufacturing (ZDM)
Software defined cloud manufacturing for industry 4.0

Many of the world's leading industrial nations have invested in national initiatives to foster advanced manufacturing, innovation, and design for the globalized world. Much of this investment has been driven by visions such as Industry 4.0, striving to achieve a future where intelligent factories and smart manufacturing are the norm. Within this realm, innovations such as the Industrial Internet of Things, Cloud based Design and Manufacturing (CBDM) and Social Product Development (SPD) have emerged with a focus on capitalizing on the benefits and economies of scale provided by Internet Protocol (IP) communication technologies. Another emerging idea is the notion of software defined systems such as software defined networks, which exploit abstraction and inexpensive hardware advancements in an effort to build more flexible systems. Recently, the authors have begun considering how the notion of software defined systems might be harnessed to achieve flexible cloud manufacturing systems. As a result, this paper introduces the notion of Software Defined Cloud Manufacturing (SDCM) We describe a basic SDCM architecture based on leveraging abstraction between manufacturing hardware and cloud based applications, services, and platforms. The goal of SDCM is to advance Cloud Based Manufacturing and other Industry 4.0 pillars by providing agility, flexibility, and adaptability while also reducing various complexity challenges.
On the Maintenance of Normal Ocular Dominance and a Possible Mechanism Underlying Refractive Adaptation.
Venue: Investigative ophthalmology visual science

Do humans with uncorrected anisometropia who have not developed anisometropic amblyopia exhibit a shift in ocular dominance nonetheless, reflecting a more subtle form of deprivation? Also, is such a change in dominance, if it occurs, permanent or could it be rectified by an extended period of optical correction?  A total of 25 normal controls (27.5 2.1 years; mean SD) 28 anisometropes (20.7 5.6 years) who were fully corrected for more than 16 weeks prior to this investigation; and 24 anisometropes who had never been corrected (21.2 9.8 years) participated in this study. Sensory eye dominance of observers was measured using the binocular phase combination paradigm to find an interocular contrast ratio at which the contributions of each eye to the binocularly fused percept were equal (i.e. the balance point measure of ocular dominance) Results Controls exhibited a balance point close to unity (0.91 0.05) while the two groups of anisometropes exhibited a clear binocular imbalance (uncorrected anisometropes, 0.51 0.28; corrected anisometropes, 0.70 0.19) both were significantly different from controls (P 0.001) The imbalance was less severe in corrected anisometropes compared with uncorrected anisometropes (P 0.004)  We find that anisometropia is associated with an ocular imbalance even in the absence of amblyopia. This abnormality is weaker in anisometropes who have worn an optical correction for some time, suggestive that a better optical status leads to a better binocular status.
Influence of Sintering Temperature on KNN BF LS Piezoelectric Ceramic

In this paper, (K0.5Na0.53)0.932Nb0.932O3 0.008BF 0.06LS (abbreviated as KNN BF LS) piezoelectric ceramic was prepared by sol gel method. Structure and properties of ceramics were analyzed.Through analysis of the results, when sintering temperature is 1080degC, ceramic has good perovskite structure. At this temperature, grain size is more uniform, and structure is the most dense. Piezoelectric constant d33, electromechanical coupling coefficient Kp, dielectric constant er reached the maximum value, respectively, 113pC/N, 0.33, 591. Dielectric loss tand reached the minimum 0.11.
Approaches To Translation

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Identify and Classify Critical Success Factor of Agile Software Development Methodology Using Mind Map

Selecting the right method, right personnel and right practices, and applying them adequately, determine the success of software development. In this paper, a qualitative study is carried out among the critical factors of success from previous studies. The factors of success match with their relative principles to illustrate the most valuable factor for agile approach success, this paper also prove that the twelve principles poorly identified for few factors resulting from qualitative and quantitative past studies. Dimensions and Factors are presented using Critical success Dimensions and Factors Mind Map Model.
Value Chain Optimization of B2C E Commerce Based on Cloud Computing and ITM

B2C e commerce enterprises have become a mainstream trend of the online retail market. But the talent, technology, mobile terminal and logistics bottleneck problems hinder the development of B2C e commerce enterprises. This paper, based on value chain theory, optimizes value chain and solves the existing issues of B2C e commerce business in order to improve the core competitiveness. Cloud computing and ITM interactive transaction model are applied, and the cost of the whole value chain to the B2C e commerce enterprise is analyzed.
Slow Logistics eine simulationsgestutzte Analyse der okonomischen und okologischen Potentiale der Sendungsbundelung

Next Day, Next Morning, Same Day, Same Hour customers are getting their orders faster and faster. Today high speed delivery based on accelerated logistical processes is a key competitive factor in distribution logistic, not only in the B2C Sector. This speed, however, necessitate high use and waste of resources. It thus counteracts current efforts towards more sustainability in value added processes. It also raises the question of whether speed or rather delivery reliability and sustainable using of resources will be the decisive criteria for customers in the future. Slow Logistics bears on these arguments. This concept breaks with the paradigm of speed in logistics without, however, impairing the economic efficiency. On the contrary, the conscious exploitation of existing time windows in logistical processes in product specific supply chains combines the economic and social ecological value added, so that robust systems will be created based on the accepted slowdown. This dissertation developed as first the theoretically fundament of Slow Logistics and describes detailed possible practical implementations. In addition, this book focuses on shipment consolidation as a central method of slow logistics. A comprehensive simulation study evaluate and analysis different strategies in the field of shipment consolidation to close some major research gaps and thereby generating valuable results and recommendations for implementations in business practice.
Cooperative Non orthogonal Multiple Access With Simultaneous Wireless Information and Power Transfer
Venue: IEEE Journal on Selected Areas in Communications

In this paper, the application of simultaneous wireless information and power transfer (SWIPT) to nonorthogonal multiple access (NOMA) networks in which users are spatially randomly located is investigated. A new co operative SWIPT NOMA protocol is proposed, in which near NOMA users that are close to the source act as energy harvesting relays to help far NOMA users. Since the locations of users have a significant impact on the performance, three user selection schemes based on the user distances from the base station are proposed. To characterize the performance of the proposed selection schemes, closed form expressions for the outage probability and system throughput are derived. These analytical results demonstrate that the use of SWIPT will not jeopardize the diversity gain compared to the conventional NOMA. The proposed results confirm that the opportunistic use of node locations for user selection can achieve low outage probability and deliver superior throughput in comparison to the random selection scheme.
Tweeting public affairs or personal affairs? Journalists' tweets, interactivity, and ideology

The purpose of this study is to investigate whether journalists in South Korea use Twitter as a public sphere and what factors may be associated with journalists' Twitter use. Combining a content analysis and an additional survey of Korean journalists, this study examines to what extent journalists talk about public affairs on Twitter and interact with others, and what factors influence their Twitter use. A content analysis of journalists' tweets shows that more than half of the tweets (62% were topics related to public affairs and more than half (56% were related to journalists' interaction with the public. However, journalists' Twitter use differed depending on the political ideology of the news outlets where the journalists worked: journalists from liberal newspapers were more likely to interact with the general public on Twitter, talking about public affairs. An additional analysis of survey of Korean journalists reconfirmed that journalists' political ideology is one factor associated with journalists' Twitter use. This study demonstrates the possibility that Twitter can be used as an online public sphere but also that possibility can be limited by political ideology.
Prospek Sukun (Artocarpus communis) sebagai Pangan Sumber Karbohidrat dalam Mendukung Diversifikasi Konsumsi Pangan

Pangan pokok masyarakat Indonesia masih bertumpu pada satu komoditas, yaitu beras. Budaya mengkonsumsi nasi penduduk negeri ini sangat tinggi, bahkan sebagian besar masyarakat merasa belum makan jika belum mengkonsumsi nasi. Permintaan beras yang terus meningkat akan menjadi beban dalam pemenuhan kebutuhan tersebut, meskipun pada tahun 2008 kita kembali mengulang sukses yang pernah diraih tahun 1984 yaitu swasembada beras. Namun porsi konsumsi serealia dalam menu makan masyarakat Indonesia (62% jauh melampaui porsi maksimum dalam pola pangan harapan (51% oleh karena itu diperlukan penyeimbangan dengan mengganti sebagian sumber karbohidrat asal serealia (terutama beras) dengan bahan pangan sumber karbohidrat dari buah buahan dan umbi umbian. Sukun merupakan salah satu sumber karbohidrat yang potensial untuk dikembangkan. Produksi sukun di Indonesia terus meningkat dari 35.435 ton (tahun 2000) menjadi 92.014 ton (tahun 2007) dengan luas panen 13.359 ha. Sukun tergolong buah klimaterik, puncak klimaterik dicapai dalam waktu singkat karena proses respirasinya bertangsung cepat. Sukun yang telah mencapai ketuaan optimal, bila tidak segera dikonsumsi atau diproses lanjut akan menjadi lunak/busuk dalam waktu beberapa hari. Untuk mengantisipasi melimpahnya sukun saat panen raya dan memperpanjang umur simpannya, maka produk setengah jadi yang sesuai adalah diproses menjadi tepung. Tepung sukun mengandung sekitar 80% karbohidrat dan energi 302 kalori/100 gram. Buah sukun kaya akan vitamin dan mineral, oleh karena itu produk setengah jadi yang disarankan adalah tepung bukan pati. Bentuk tepung dipilih, karena sebagian besar komponen zat gizi masih bisa dipertahankan, awet, mudah diformulasi dan diolah menjadi anekaragam makanan.
Maglev: A Fast and Reliable Software Network Load Balancer
Venue: NSDI

Maglev is Google's network load balancer. It is a large distributed software system that runs on commodity Linux servers. Unlike traditional hardware network load balancers, it does not require a specialized physical rack deployment, and its capacity can be easily adjusted by adding or removing servers. Network routers distribute packets evenly to the Maglev machines via Equal Cost Multipath (ECMP) each Maglev machine then matches the packets to their corresponding services and spreads them evenly to the service endpoints. To accommodate high and ever increasing traffic, Maglev is specifically optimized for packet processing performance. A single Maglev machine is able to saturate a 10Gbps link with small packets. Maglev is also equipped with consistent hashing and connection tracking features, to minimize the negative impact of unexpected faults and failures on connection oriented protocols. Maglev has been serving Google's traffic since 2008. It has sustained the rapid global growth of Google services, and it also provides network load balancing for Google Cloud Platform.
A Review on Wireless Data Center Management

Data Center Management is an important challenge in the fast era to fulfill ever evolving computational demand around cloud computing, big data and infrastructure. DC (Data Center) are used to resolve the issues related to overutilization of resource, application failures, data security, power usage effectiveness and infrastructure costs which requires proactive solutions that are business intelligent and built over a network of sense points with the help of sensor networks that are suitable to deliver reliable trends. Sensor networks with telemetry and control functions is used for collection delivering of the data by improved server rack utilization, improved DC cooling and load balancing with dynamic capping is used. SCADA system is used with sense point data to process the information wireless sensor networks in DCs comprises sensor nodes, gateways, routers, server platforms and software application for the overall management of various application.
Topological phases with long range interactions.
Venue: Physical review. B

Topological phases of matter are primarily studied in systems with short range interactions. In nature, however, nonrelativistic quantum systems often exhibit long range interactions. Under what conditions topological phases survive such interactions, and how they are modified when they do, is largely unknown. By studying the symmetry protected topological phase of an antiferromagnetic spin 1 chain with 1/r a interactions, we show that two very different outcomes are possible, depending on whether or not the interactions are frustrated. While unfrustrated long range interactions can destroy the topological phase for a 3, the topological phase survives frustrated interactions for all a 0. Our conclusions are based on strikingly consistent results from large scale matrix product state simulations and effective field theory calculations, and we expect them to hold for more general interacting spin systems. The models we study can be naturally realized in trapped ion quantum simulators, opening the prospect for experimental investigation of the issues confronted here.