nils-herrmann/clean_scirepeval huggingface dataset:
Joint flow routing scheduling for energy efficient software defined data center networks: A prototype of energy aware network management platform
Venue: J. Netw. Comput. Appl.

Data centers are a cost effective infrastructure for hosting Cloud and Grid applications, but they do incur tremendous energy cost and CO2 emissions. Today's data center network architectures such as Fat tree and BCube are over provisioned to guarantee large network capacity and meet peak performance requirement. Networks suffer from inefficient power usage when data center traffic is not high. A solution to this problem is the adoption of network management platform such as OpenNaaS, which can be augmented with energy aware capabilities. We developed a component for energy monitoring and routing in OpenNaaS. Energy aware OpenNaaS can support different types of OpenFlow controller; it inherits and enhances network management capabilities, e.g. dynamically obtaining power and topology.In this paper we also discuss the evaluation and selection of energy aware routing strategies based on an initial prototype of energy aware OpenNaaS. The target strategies are fine grained as they combine flow routing algorithms that make routing decisions for the flows and flow scheduling algorithms that schedule the flows on the same link. Differently from previous routing work which focuses on power minimization problem in data center networks, we aim to optimize energy consumption. Our simulation shows that the combination of priority based shortest routing and exclusive flow scheduling achieves about 5% 35% higher energy efficiency without performance degradation.
Joint optimization on switch activation and flow routing towards energy efficient software defined data center networks
Venue: 2016 IEEE International Conference on Communications (ICC)

The rapid development of cloud computing has raised big concerns over the high energy consumption of modern data centers. To satisfy the ever increasing data traffic needs, the energy consumption of data center network (DCN) also takes a significant proportion. The newly emerging technology, Software Defined Networking (SDN) which allows flexible control of network devices, brings a new opportunity towards DCN energy optimization. In this paper, we investigate how to design an energy efficient network management strategy with guaranteed satisfaction of network traffic demands in Software Defined Data Center Networks (SD DCNs) To this end, three issues will be tackled: 1) the subset of switches that shall be activated, i.e. switch activation, 2) multi path routing scheduling for all flows and 3) forwarding rule placement in SDN switches. They are jointly considered and formulated as an integer linear programming (ILP) problem. A heuristic algorithm to deal with its high computational complexity is proposed. Extensive simulation based evaluations are conducted to validate the high efficiency of our algorithm.
Formulation and Optimization of Multiparticulate Drug Delivery System Approach for High Drug Loading
Venue: AAPS PharmSciTech

The aim of the present work was to develop and optimize multiparticulate formulation viz. pellets of naproxen by employing QbD and risk assessment approach. Mixture design with extreme vertices was applied to the formulation with high loading of drug (about 90% and extrusion spheronization as a process for manufacturing pellets. Independent variables chosen were level of microcrystalline cellulose (MCC) X1, polyvinylpyrrolidone K 90 (PVP K 90) X2, croscarmellose sodium (CCS) X3, and polacrilin potassium (PP) X4. Dependent variables considered were disintegration time (DT) Y1, sphericity Y2, and percent drug release Y3. The formulation was optimized based on the batches generated by MiniTab 17 software. The batch with maximum composite desirability (0.98) proved to be optimum. From the evaluation of design batches, it was observed that, even in low variation, the excipients affect the pelletization property of the blend and also the final drug release. In conclusion, pellets with high drug loading can be effectively manufactured and optimized systematically using QbD approach.
Analytical Investigation of the Magnetic Field Distribution in an Axial Magnetic Field Modulated Brushless Double Rotor Machine

The axial magnetic field modulated brushless double rotor machine (MFM BDRM) is a novel possible alternative power split device for hybrid electric vehicles (HEVs) This paper proposes a two dimensional (2 D) analytical method to predict the performance of the axial MFM BDRM to reduce computing time. The computation is based on the solution of Laplace's or Poisson's equation with boundary conditions for each elementary rectangular region. By taking account of the existence of modulating ring and the stator slotting effect, the proposed model is able to calculate magnetic field distribution with high accuracy. In order to assess the proposed method, the 2 D analytical and three dimensional (3 D) finite element analysis (FEA) results have been compared, and good agreements have been achieved. As the analytical computation is much faster and more flexible, the proposed method can be used in the preliminary design process of the axial MFM BDRM.
Investigation Into a Magnetic Field Modulated Brushless Double Rotor Machine With the High Strength and Low Loss Modulating Ring Rotor
Venue: IEEE Transactions on Magnetics

Aiming at the contradictory problem of low loss and high mechanical strength for the modulating ring (MR) rotor in traditional magnetic field modulated brushless double rotor machine (MFM BDRM) an MFM BDRM with the high strength and low loss MR rotor is proposed. The key of the proposed MR rotor is to insert the nonmagnetic metal bar into magnetic block made by the silicon sheet laminations. First, to evaluate the influence of the proposed MR rotor on the performance of MFM BDRM, a traditional MFM BDRM with the same size is designed to compare their performances, like back electromotive force, torque, and torque ripple. Second, since the permeability of silicon sheet is not infinite, there are still some flux leakages passing through the nonmagnetic metal bar. The loss distribution law of the nonmagnetic metal bar under different permeabilities is investigated by the finite element method. Besides, to ensure the safety of the proposed MFM BDRM, the stress distribution law of the MR rotor is investigated under conditions of maximum speed, torque, and radial electromagnetic force.
Style in the Age of Instagram: Predicting Success within the Fashion Industry using Social Media
Venue: CSCW

Fashion is a multi billion dollar industry with social and economic implications worldwide. To gain popularity, brands want to be represented by the top popular models. As new faces are selected using stringent (and often criticized) aesthetic criteria, a priori predictions are made difficult by information cascades and other fundamental trend setting mechanisms. However, the increasing usage of social media within and without the industry may be affecting this traditional system. We therefore seek to understand the ingredients of success of fashion models in the age of Instagram. Combining data from a comprehensive online fashion database and the popular mobile image sharing platform, we apply a ma chine learning framework to predict the tenure of a cohort of new faces for the 2015 Spring/Summer season throughout the subsequent 2015 16 Fall Winter season. Our framework successfully predicts most of the new popular models who appeared in 2015. In particular, we find that a strong social media presence may be more important than being under contract with a top agency, or than the aesthetic standards sought after by the industry.
World Bank Partnerships and the Promise of Democratic Governance

The World Bank promotes public private partnerships as vehicles for democratizing environmental governance. This article presents an overview of their constitution in the World Bank, including what the Bank as an organization identified as their promise, and investigates what its partnerships for biodiversity conservation achieved. The article focuses on the institutional design of partnerships' governance structures, and assesses their democratic quality based on their potential to enable inclusion and empowerment of stakeholders. It examines nine global biodiversity partnerships between the World Bank and non state actors from 1992 to 2008 and analyses the extent to which they have fulfilled the principled expectations expressed by the Bank. I find that partnerships have been organized through institutional arrangements that fail to promote inclusiveness and empowerment, which are minimum normative inputs for democratic decision making in natural resource management. This suggests that World Bank partnerships are not sufficiently well poised to fulfil the democratic promise.
World development report 2017 evolution of the World Bank's thinking on governance

The preparation work for the 2017 World Development Report on Governance and the Law in 2016 will coincide with the 25th anniversary of the World Bank's decision to broaden its ongoing work on public sector management to embrace key issues of governance in the Bank's borrowing countries. This paper provides a broad overview of the major Bank reports on governance that went through a review process at a sufficiently high level in the institution that they can reasonably be described as reflecting the Bank's considered views at the time on the subject. The objective is to review the evolution of the Bank's thinking on governance and assess the relevance and effectiveness of the work and its implications for the forthcoming World Development Report. Section two of this paper begins with a brief account of how the Bank came to focus on issues of governance, reviewing the major upheaval of governance in many of the Bank's borrowing countries in the 1980s, the legal constraints the Articles of Agreement impose on the Bank's work on governance, and a brief overview of the Bank's initial policy statement on governance issued to the Bank's Board in June 1991. Section three reviews major Bank work on governance as reflected in successive World Development Reports and examines the Bank's analysis of the issue of corruption, reviewing how the Bank's thinking on this symptom of poor governance has evolved. Section four steps back to assess what the Bank got right and some of the issues it missed or failed to address adequately. Section five draws attention to the dramatic changes experienced by the developing world in these past 25 years, and points to the need to better understand the implications of these changes for the governance context facing developing countries.
Depression, Anxiety and Quality of Life among Chronic Low Back leg Pain Patients with or without Neuropathic Pain

To investigate depression, anxiety and quality of life among chronic low back leg pain patients with or without neuropathic pain. Place and Duration of Study: Ankara Numune Education and Research Hospital Department of Physical Medicine and Rehabilitation Polyclinic, between October 2012 and June 2013.  One hundred and one patients with chronic low back and leg pain were enrolled in the study. This study is a cross sectional study. The severity of low back and leg pain was evaluated by visual analogue scale (VAS) The DN4 (Douleur Neuropathique en 4 Questions) and LANSS (Leeds Assessment of Neuropathic Symptoms and Signs) scales were used in order to evaluate the neuropathic pain. Existence of depression was evaluated by the Hamilton Depression Rating Scale (HAM D) and anxiety was assessed by Hamilton Anxiety Rating Scale (HAM A) The quality of life was questioned by Short Form 36 (SF 36)  Neuropathic pain was detected in 65.3% by DN4 and 40.6% by LANSS among all patients. According to HAM D results, 22.7% of the patients had depression and according to HAM A results, 8.9% of the patients had anxiety. While frequency of depression was statistically Original Research Article Uzun et al. BJPR, 13(5) 1 8, 2016; Article no.BJPR.28762 2 significantly higher in patients with neuropathic pain according to LANSS (p<0,05) the frequency of anxiety was similar between groups. Although depression and anxiety was more common among patients with neuropathic pain according to DN4, there was no statistically significant difference between chronic low back leg pain patients with or without neuropathic pain. The median SF 36 mental score was significantly lower in patients with NP according to LANSS (p<0.05) Although the median SF 36 scores (mental, physical) were higher in patients with NP according to DN4, there was no significant difference between groups (respectively p>0.05, )  Patients with chronic low back and leg pain should also be questioned in terms of neuropathic symtoms and the conservative treatment should be arranged in this direction. Thus concomitant depression and anxiety would decrease, and the quality of life would increase.
Prevalence of anxiety, depression and kinesiophobia in patients with low back pain and their association with the symptoms of low back spinal pain.
Venue: Revista brasileira de reumatologia

To evaluate the prevalence of anxiety, depression and kinesiophobia and their association with the symptoms of low back pain.  A total of 65 patients were divided into three groups: Organic, Amplified Organic and Non Organic. They answered the Beck Anxiety Inventory, Beck Depression Inventory and Tampa Scale of Kinesiophobia and were evaluated according to their pain level using the Visual Analogic Scale.  The average kinesiophobia scores of the patients in the Organic, Amplified Organic and Non Organic groups were 36.26, 36.21 and 23.06 points, respectively. Patients who were classified into the Organic group experienced the most kinesiophobia out of all three groups (p=0.007) The average anxiety scores of the patients in the Organic, Amplified Organic and Non Organic groups were 33.17, 32.79 and 32.81 points, respectively, with no significant difference among the groups (p=0.99) The average depression scores of the patients in the Organic, Amplified Organic and Non Organic groups were 32.54, 28.79 and 37.69 points, respectively, with no significant difference among the groups (p=0.29) CONCLUSION There was no association between the groups and anxiety and depression. However, there was a positive correlation between kinesiophobia and the Organic group. Studies of other patient samples are needed to confirm the reproducibility and validity of these data in other populations.
Prevalence of anxiety, depression and kinesiophobia in patients with low back pain and their association with the symptoms of low back spinal pain.
Venue: Revista brasileira de reumatologia

To evaluate the prevalence of anxiety, depression and kinesiophobia and their association with the symptoms of low back pain.  A total of 65 patients were divided into three groups: Organic, Amplified Organic and Non Organic. They answered the Beck Anxiety Inventory, Beck Depression Inventory and Tampa Scale of Kinesiophobia and were evaluated according to their pain level using the Visual Analogic Scale.  The average kinesiophobia scores of the patients in the Organic, Amplified Organic and Non Organic groups were 36.26, 36.21 and 23.06 points, respectively. Patients who were classified into the Organic group experienced the most kinesiophobia out of all 3 groups (p=0.007) The average anxiety scores of the patients in the Organic, Amplified Organic and Non Organic groups were 33.17, 32.79 and 32.81 points, respectively, with no significant difference among the groups (p=0.99) The average depression scores of the patients in the Organic, Amplified Organic and Non Organic groups were 32.54, 28.79 and 37.69 points, respectively, with no significant difference among the groups (p=0.29) CONCLUSION There was no association between the groups and anxiety and depression. However, there was a positive correlation between kinesiophobia and the Organic group. Studies of other patient samples are needed to confirm the reproducibility and validity of these data in other populations.
Book Review: "Engin Isin and Evelyn Ruppert, Being Digital Citizens. London: Rowman Littlefield, 2015"

The concept of digital citizenship has become increasingly important to our understanding of the relationship between media and political action, and the possibilities for democratization, decentralization, and diversification of power offered by the Internet. In the era of the digitalization of just about everything, citizenship and its related concepts are in processes of technology driven transformation, with important implications for the global future of democratic culture. Isin and Ruppert's book is a timely engagement with these questions, and with the emerging notion of the "digital subject."
Rodents from the Upper Miocene Hominoid Locality Corakverler Anatolia by Engin

The rodents of the PSorakyerler fauna are described. Twelve species, two of which are new, are recognized: Hansdebruijnia erksinae n.sp. Hansdebruijnia cf. neutrum, Byzantinia pikermiensis, Byzantinia aff. hellenicus, aff. Rhinocerodon sp. Allocricetus aylasevimae n.sp. Cricetidae gen. et sp. indet. Pseudomeriones latidens, cf. Pliospalax sp. Protalactaga aff. major, Myomimus sp. and Keramidomys sp. This rodent assemblage suggests a savannah like environment and an MN 11 age.
Genetic algorithm solution to unit commitment problem
Venue: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)

In this paper, Genetic Algorithm (GA) is used to solve the Unit Commitment (UC) Problem. Unit commitment problem was formulated with consideration of up down time, startup cost (Hot Cold start) and production cost. Unit commitment schedule as well as economic dispatch is obtained to obtain total cost of generation. Problem specific operators are used in the algorithm to improve the quality of the solution obtained and increase the convergence speed of problem. Performance of the GA is tested on 2 IEEE test systems, one of 5 units, 14 bus and another of 7 units, 56 bus respectively over the scheduling period of 24 hours. Results give an insight in the superiority of GA to other methods for solving UC problem.
Network impulse response based on fault location method for fault location in power distribution systems

This study proposes a new time domain fault location method based on the impulse response (image) of a power system. The proposed algorithm captures an electrical image of the power system in normal operation by injecting a train of impulses. Following fault detection, an updated electrical image is acquired and compared with the normal operating image. The comparison between both images, in time domain, permits the estimation of the distance to the fault. The performance of the proposed method has been evaluated in a 20 kV distribution system modelled in power systems computer aided design/electro magnetic transient design and control (PSCAD/EMTDC) Moreover, laboratory and field tests in a 15 kV overhead line have been carried out to verify and validate model accuracy and performance. Results show a considerable improvement in the accuracy of fault distance estimation compared with existing algorithms. A relevant advantage of the proposed method is its high immunity to ground resistivity, fault resistance and fault type and location in the distribution system.
PENGARUH PORTING SALURAN INTAKE DAN EXHAUST TERHADAP KINERJA MOTOR 4 LANGKAH 200 cc BERBAHAN BAKAR PREMIUM DAN PERTAMAX

Porting adalah membentuk kembali lubang intake dan exhaust agar volume udara dan bahan bakar yang masuk jadi bertambah besar dan lebih bebas hambatan. Sedangkan polishing adalah menghaluskan bagian bagian yang sudah diporting dan bagian lain dari mesin agar hisapan udara dan Bahan Bakar yang masuk jadi semakin lancar. Lubang Intake Exhaust pada motor standar terdapat permukaan yang kasar menyerupai kulit jeruk, yang mengakibatkan terhambatnya aliran campuran bahan bakar yang akan masuk dan keluar dari ruang bakar.  Pengujian dilakukan dengan menggunakan sepeda motor 4 langkah TIGER REVOLUTION 200 cc. Pengujian dilakukan dengan menggunakan bahan bakar premium dan pertamax. Pengujian ini untuk mencari unjuk kerja mesin 4 langkah meliputi daya, torsi dan konsumsi bahan bakar. Bahan dan alat yang dipergunakan dalam penelitian ini adalah bahan bakar premium dan pertamax. Alat ukur yang dipergunakan dalam penelitian ini adalah dynamometer, tachometer, burret, dan stop watch. Metode pengujian dilakukan mulai 4000 rpm sampai dengan putaran mesin 10000 pada kendaraan uji, dengan sistem throttle spontan. Porting dan polishing lubang intake dan exhaust dengan menggunakan bahan bakar Premium menghasilkan torsi maksimum 18,55 N.m yang dicapai pada putaran mesin 6255 rpm atau lebih besar dari torsi maksimum standar (sebelum porting dan polishing yaitu sebesar 17,8 N.m yang dicapai pada putaran mesin 6483 rpm. Menggunakan pertamax tidak menghasilkan daya yang lebih tinggi 18,8 KW. Namun demikian, daya maksimum setelah porting dan polishing dicapai lebih cepat pada putaran 8122 rpm, sedangkan daya maksimum sebelum porting dan polishing baru dicapai pada putaran 8130 rpm.
Anisotropic Correction of Beam induced Motion for Improved Single particle Electron Cryo microscopy

Correction of electron beam induced sample motion is one of the major factors contributing to the recent resolution breakthroughs in cryo electron microscopy. Improving the accuracy and efficiency of motion correction can lead to further resolution improvement. Based on observations that the electron beam induces doming of the thin vitreous ice layer, we developed an algorithm to correct anisotropic image motion at the single pixel level across the whole frame, suitable for both single particle and tomographic images. Iterative, patch based motion detection is combined with spatial and temporal constraints and dose weighting. The multi GPU accelerated program, MotionCor2, is sufficiently fast to keep up with automated data collection. The result is an exceptionally robust strategy that can work on a wide range of data sets, including those very close to focus or with very short integration times, obviating the need for particle polishing. Application significantly improves Thon ring quality and 3D reconstruction resolution.
Sign Language Video Processing for Text Detection in Hindi Language
Venue: Int. J. Recent Contributions Eng. Sci. IT

Sign language is a way of expressing yourself with your body language, where every bit of ones expressions, goals, or sentiments are conveyed by physical practices, for example, outward appearances, body stance, motions, eye movements, touch and the utilization of space. Non verbal communication exists in both creatures and people, yet this article concentrates on elucidations of human non verbal or sign language interpretation into Hindi textual expression. The proposed method of implementation utilizes the image processing methods and synthetic intelligence strategies to get the goal of sign video recognition. To carry out the proposed task implementation it uses image processing methods such as frame analysing based tracking, edge detection, wavelet transform, erosion, dilation, blur elimination, noise elimination, on training videos. It also uses elliptical Fourier descriptors called SIFT for shape feature extraction and most important part analysis for feature set optimization and reduction. For result analysis, this paper uses different category videos such as sign of weeks, months, relations etc. Database of extracted outcomes are compared with the video fed to the system as a input of the signer by a trained unclear inference system.