nils-herrmann/clean_scirepeval huggingface dataset:
Impact Of Ketogenic Diet On Athletes: Current Insights
Venue: Open access journal of sports medicine
Year: 2019

The impact of a ketogenic diet (KD) <50 g/d carbohydrate, >75% fat) on athletic performance has sparked much interest and self experimentation in the past 3 4 years. Evidence shows 3 4 week adaptations to a KD in endurance trained athletes were associated with maintenance of moderate (46 63% VO2max) and vigorous intensity (64 90% VO2max) endurance exercise, while at intensities >70% VO2max, increases in fat oxidation were associated with decreased economy (increased oxygen consumption) and in some cases, increased ratings of perceived exertion and heart rate. Two investigations in recreationally active endurance athletes noted no vigorous intensity exercise decrement following 3 and 12 week adaptations. Moderate (70 85% one repetition maximum) and near maximal to maximal intensity >85% 1RM) strength performance experienced no decrement following a 3 12 week KD adaptation. Beneficial effects were noted for 2000 m sprint and critical power test completed for short duration at vigorous intensity, while two additional tests noted no decrement. For sprint, near maximal exercise >91% VO2max) benefit of the KD was observed for six second sprint, while no decrement in performance was noted for two additional maximal tests. When protein is equated (grams per kilogram) one investigation noted no decrement in muscle hypertrophy, while one noted a decrement. One investigation with matched protein noted the KD group lost more body fat. In conclusion, moderate to vigorous intensity exercise experiences no decrement following adaptation to a KD. Decreases in exercise economy are observed >70% VO2max in trained endurance athletes which may negate performance within field settings. Beneficial effects of the KD during short duration vigorous, and sprint bouts of exercises are often confounded by greater weight loss in the KD group. With more athletes pursuing carbohydrate restricted diets (moderate and strict (KD) for their proposed health benefits, more work is needed in the area to address both performance and health outcomes.
An Accurate Particle Filter Device Free Localization based on Frequency Hopping Method
Venue: 2020 IEEE International Conference on Mechatronics and Automation (ICMA)
Year: 2020

Device free localization (DFL) is an emerging technique, which could estimate the location of a target by analysing its shadowing effect on surrounding wireless links. This technique neither requires the target to be equipped with any device nor involves privacy concerns, which makes it an attractive and a promising technique for many indoor localization applications. However, state of the art device free localization algorithm relying on particle filter method does not efficiently consider the multipath interference, which results in low localization accuracy. In this paper, we propose a particle filter method based on frequency hopping to improve the accuracy of DFL. Specifically, we utilize redundancy of different frequency measurement information of each communication link to improve the localization accuracy. Extensive experiments performed in a indoor environment with multipath interference with 24 wireless nodes demonstrate that the particle filter DFL based on frequency hopping could achieve 0. 267m accuracy with a 38.1% improvement, which outperforms sate of the art fixed frequency method.
A Hybrid UCA RARE/Root MUSIC Approach for 2 D Direction of Arrival Estimation in Uniform Circular Arrays in the Presence of Mutual Coupling
Venue: IEEE Transactions on Antennas and Propagation
Year: 2007

A new hybrid algorithm that combines the uniform circular array RAnk REduction (UCA RARE) and Root MUSIC algorithm for 2 D direction of arrival (DOA) estimation of azimuth and elevation angle is presented for uniform circular arrays in the presence of mutual coupling. To describe mutual coupling and platform effects we rely on the circular symmetry and expand the open circuit voltages into a limited number of phase modes. This number of phase modes only depends on the electromagnetic dimensions of the UCA and is independent of the severity of mutual coupling in the UCA. The UCA RARE algorithm is then applied to estimate the azimuth angle independent from the elevation angle. Next, for each azimuth angle we perform a new search free rooting algorithm based on the expansion of the array manifold into a double Fourier series. By considering several examples, it is shown that even in the presence of severe mutual coupling the proposed combined technique yields very robust DOA estimations for azimuth angle as well as for elevation angle
The Sustainable Model: Designing Within a Sustainable Framework
Year: 2018

Sustainability within the fashion industry is a matter of growing concern with the emergence and surge of the fast fashion system. The research literature is aimed at defining the current fashion scenario, understanding the roles of stakeholders involved and presenting significant existing models of sustainable design. This chapter proposes the need for a practical strategy towards a sustainable future by setting short term and long term goals. Education as a solution that penetrates into the layers of institutes, collaborative design, and brands is discussed along with the notion of developing better consumer relationships through emotional and conceptual strategies for value addition. This chapter touches upon recognizing topology as an exploitable concept for innovative sustainable design. Re evaluation of the design process is explored through the development of a hybrid cutting technique called Planar Flux, inspired by the Mobius strip, that urges one to view patterns axially while reducing fabric consumption, cutting and construction simultaneously. The success of the technique is assessed using parameters of collaboration, development of zero waste pattern and positing its application in a fast fashion business setup. The aims are to corroborate the benefits of such a system, its influence on the consumer and contribution to all aspects of sustainability.
A fast steady state loss model of a modular multilevel converter for optimization purposes
Venue: 2015 9th International Conference on Power Electronics and ECCE Asia (ICPE ECCE Asia)
Year: 2015

Lesnicar and Marquardt introduced a Modular Multilevel Converter (MMC) topology back in 2003. Although this topology has received a great deal of attention in recent years by both the research community and industry, hitherto no steady state model has been developed which accurately captured all the relevant power losses while being computationally light. Hence, the aim of this paper is to introduce a fast MMC loss model which captures the key sources of power losses in steady state operation. The model only requires information which is known a priori, e.g. datasheet information of the components. The proposed model was compared to a loss model developed by Marquardt. Both models presented similar results under the same assumptions. However, the proposed model captures the switching losses more realistically and considers the temperature of operation of the electronics, as well as the losses of the inductors and cooling system in the overall efficiency of the MMC. To validate these new additions, the proposed steady state model was compared to a dynamic model. Once again the proposed model was able to capture the different sources of power losses. Nonetheless, results demonstrated that the balancing strategy greatly influences the efficiency of the MMC. Therefore, information regarding the envisioned control strategy is necessary to accurately calculate the efficiency curve of the MMC.
Iterative Most Likely Point Registration (IMLP) A Robust Algorithm for Computing Optimal Shape Alignment
Venue: PloS one
Year: 2015

We present a probabilistic registration algorithm that robustly solves the problem of rigid body alignment between two shapes with high accuracy, by aptly modeling measurement noise in each shape, whether isotropic or anisotropic. For point cloud shapes, the probabilistic framework additionally enables modeling locally linear surface regions in the vicinity of each point to further improve registration accuracy. The proposed Iterative Most Likely Point (IMLP) algorithm is formed as a variant of the popular Iterative Closest Point (ICP) algorithm, which iterates between point correspondence and point registration steps. IMLP's probabilistic framework is used to incorporate a generalized noise model into both the correspondence and the registration phases of the algorithm, hence its name as a most likely point method rather than a closest point method. To efficiently compute the most likely correspondences, we devise a novel search strategy based on a principal direction (PD) tree search. We also propose a new approach to solve the generalized total least squares (GTLS) sub problem of the registration phase, wherein the point correspondences are registered under a generalized noise model. Our GTLS approach has improved accuracy, efficiency, and stability compared to prior methods presented for this problem and offers a straightforward implementation using standard least squares. We evaluate the performance of IMLP relative to a large number of prior algorithms including ICP, a robust variant on ICP, Generalized ICP (GICP) and Coherent Point Drift (CPD) as well as drawing close comparison with the prior anisotropic registration methods of GTLS ICP and A ICP. The performance of IMLP is shown to be superior with respect to these algorithms over a wide range of noise conditions, outliers, and misalignments using both mesh and point cloud representations of various shapes.
Computational intelligence in aerospace sciences
Year: 2014

In the aerospace sciences, computational intelligence techniques are now key tools in addressing many problems. Such techniques have progressed along with increases in computing power, allowing numerical simulation to gradually replace experimental testing in many areas of engineering, and leading to an increasing use of nature inspired numerical optimization methods to handle complex real world multidisciplinary design problems. Computational Intelligence in Aerospace Sciences introduces the fundamental concepts and methods used in single and multiobjective optimization, game theory, and uncertainty quantification before detailing techniques across four main areas: *robotics *multidisciplinary design *aerodynamics *space It provides practitioners with an overview of different computational intelligence techniques with aerospace applications, and aids newcomers to this field of research who are looking for fundamental information with advanced examples.
Contracting or Public Delivery? The Importance of Service, Market and Management Characteristics
Year: 2012

Analysis of local government contracting decisions typically focuses on transactions costs related to service characteristics, especially asset specificity and difficulty of contract management. This analysis expands the focus to include market characteristics (competition) citizen characteristics (public interest in the service delivery process) and place characteristics (metro status and public management) and finds these are the more important factors. A 2007 survey of US city managers' rankings of 67 services by transactions costs, competition, and citizen interest is combined with a 2007 national survey of city managers' sourcing decisions (direct public, intergovernment cooperation, for profit and nonprofit contracting) Multinomial logit models of service delivery sourcing choice find that metro status and competition are key explanatory variables. Intergovernmental cooperation represents an important public market alternative when contract management is difficult and competition is low. For profit contracting is less common when citizen interest is high and competition is low. Governments with professional managers appear more effective in addressing these broader transactions costs of citizen interests, political and labor opposition, and market management.
Optimal locally private estimation under lp loss for 1< p< 2
Venue: ArXiv
Year: 2018

We consider the minimax estimation problem of a discrete distribution with support size k under locally differential privacy constraints. A privatization scheme is applied to each raw sample independently, and we need to estimate the distribution of the raw samples from the privatized samples. A positive number o measures the privacy level of a privatization scheme. In our previous work ( 2018) we proposed a family of new privatization schemes and the corresponding estimator. We also proved that our scheme and estimator are order optimal in the regime e k under both l 2 (mean square) and l1 loss. In this paper, we sharpen this result by showing asymptotic optimality of the proposed scheme under the l p p loss for all 1 d p d 2. More precisely, we show that for any p P r1, 2s and any k and o, the ratio between the worst case lpp estimation loss of our scheme and the optimal value approaches 1 as the number of samples tends to infinity. The lower bound on the minimax risk of private estimation that we establish as a part of the proof is valid for any loss function l p p, p e 1.
Effect of Dietary Supplementation with Copper Sulfate or Tribasic Copper Chloride on the Growth Performance, Liver Copper Concentrations of Broilers Fed in Floor Pens, and Stabilities of Vitamin E and Phytase in Feeds
Venue: Biological Trace Element Research
Year: 2010

An experiment was conducted using a total of 840, 1 day old, Arbor Acres commercial male broilers to compare copper (Cu) sulfate and tribasic Cu chloride (TBCC, Cu2(OH)3Cl) as sources of supplemental Cu for broilers fed in floor pens. Chicks were randomly allotted to one of seven treatments for six replicate pens of 20 birds each, and were fed a basal corn soybean meal diet (10.20 mg/kg Cu) supplemented with 0, 100, 150, or 200 mg/kg Cu from either Cu sulfate or TBCC for 21 days. Chicks fed 200 mg/kg Cu as TBCC had a higher (P 0.05) average daily gain (ADG) than those consuming other diets. Liver Cu contents of broilers fed diets supplemented with TBCC were numerically lower (P 0.05) than those of broilers fed diets supplemented with Cu sulfate. The vitamin E contents and the phytase activities in the feed fortified with TBCC were higher (P 0.01) and numerically higher (P 0.05) compared with those in the feeds fortified with Cu sulfate stored at room temperature, respectively. The vitamin E contents in liver and plasma of broilers fed diets supplemented with TBCC were higher (P 0.05) than those of birds fed diets supplemented with Cu sulfate. This result indicates that TBCC is more effective than Cu sulfate in improving the growth of broilers fed in floor pens, and it is chemically less active than Cu sulfate in promoting the undesirable oxidation of vitamin E in feeds.
A 700fps optimized coarse to fine shape searching based hardware accelerator for face alignment
Venue: 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC)
Year: 2017

In this work, a fast shape searching face alignment (F SSFA) algorithm based accelerator is proposed to achieve real time processing. Firstly, a learning based low dimensional SURF feature is introduced to reduce the computation cost in the cascaded regression. Then the Euclidean distance and shape affine transformation are utilized to accelerate the shape searching procedure. F SSFA therefore greatly reduces the computational complexity while keeping the same accuracy. Also, a fixed point F SSFA based VLSI architecture is designed with approximately 80% decrease in the data transmission traffic. The throughput of this accelerator achieves 700 fps, which is especially suitable for high speed facial related applications.
Histological Observation of Primary and Secondary Aerenchyma Formation in Adventitious Roots of Syzygium kunstleri (King) Bahadur and R.C.Gaur Grown in Hypoxic Medium
Venue: Forests
Year: 2019

Trees growing in wetlands develop adventitious roots from the trunk during the rainy season and adapt to the flooded environment by forming primary (schizogenous or lysigenous) and secondary aerenchyma in the roots. Therefore, it is necessary to clarify the formation process of each type of aerenchyma in these adventitious roots. In this study, saplings of Syzygium kunstleri (King) Bahadur and R.C.Gaur were grown under four different treatments, and a total of 12 adventitious roots generated from trunks were used to clarify the distribution of each aerenchyma type in the roots using light or epi florescence microscopy. Schizogenous aerenchyma was observed in the root tips where the root color was white or light brown, whereas lysigenous aerenchyma was found at some distance from the root tip where the root color gradually changed from light to dark brown. The secondary aerenchyma and periderm were observed in dark brown parts near the root base. None or only one layer of phellem cells was detected in the white roots near the root tip, but dark brown roots near the root base had at least three layers of phellem cells. Considering these results, oxygen transportation may occur between primary and secondary aerenchyma at the point where two or more layers of phellem cells are formed.
From Immobilization to Catalyst Use: A Complete Continuous Flow Approach Towards the Use of Immobilized Organocatalysts
Venue: ChemCatChem
Year: 2019

The combination of chiral supported organocatalysts and flow chemistry promotes the sustainable production of enantioenriched compounds providing a very powerful tool for chemical and pharmaceutical industries. However, the rapid deactivation of these catalysts in heterogeneous asymmetric reactions has been limiting the expansion of the area. In this work we report for the first time the advantages of synthesizing, immobilizing, and using a silica supported organocatalyst under a complete continuous flow approach, showing the impact of this method on the morphology, structure and lifetime of the organocatalyst. The first generation MacMillan's organocatalyst was prepared from L phenylalanine and immobilized in silica through a carbamate linkage under batch and continuous flow conditions. We also evaluated the performance of both batch and continuous flow organocatalysts in the Diels Alder reaction for proof of concept.
Exploring Factors That Affect Usefulness, Ease Of Use, Trust, And Purchase Intention In The Online Environment
Year: 2015

Various studies have examined the effects of factors on online attitudes and behavior. By applying the Technology Acceptance Model, this study is focused on investigating factors that affect customers' online purchasing behavior. In particular, this study examines i) effects of such factors as product information, price, convenience, and perceived product or service quality on perceived usefulness; ii) effects of convenience, perceived product or service quality, and desire to shop without a salesperson on perceived ease of use; iii) effects of perceived ease of use on perceived usefulness; iv) effects of perceived ease of use and usefulness on intentions to shop online; and v) effects of trust on purchase intentions. The data collected online and offline were analyzed using factor and regression analysis, and structural equation modeling. The results of this study indicate that perceived usefulness, perceived ease of use, and trust had a statistically significant effect on behavioral intention to shop on the Internet.
A nanoparticle functionalized wound dressing device for toxin neutralization
Year: 2020

Pore forming toxins (PFTs) that attack host cells have shown to perform an essential role in bacterial infections. Neutralization of these toxins has become an attractive approach to promote the recovery of damaged host tissues. In this study, we propose an interconnected macroporous hydrogel containing polydiacetylene (PDA) nanoparticles to efficiently sense and bind PFTs. The PDA nanoparticles are fabricated through a self assembly process and then mixed into the gelatin monomer solution for polymerization. Using cryogelation technology, we can obtain the nanoparticle functionalized hydrogels with controlled interconnected pores and well defined properties. Meanwhile, the obtained hydrogels with favorable biocompatibility show the capability of retaining the nanoparticles over a long time and efficiently binding the PFTs. In addition, the functional hydrogels with different pores present distinctive detoxification abilities. Overall, this work introduces a promising detoxification device that incorporates functional nanoparticles into the macroporous hydrogel and could be used as a wound dressing for local treatment of bacterial infections in the future.
ANALISIS FAKTOR FAKTOR YANG MEMPENGARUHI PELAKU USAHA MIKRO KECIL DAN MENENGAH DALAM MEMBUAT LAPORAN KEUANGAN (STUDI KASUS PADA UMKM MINUMAN SARI APEL DI KOTA BATU
Year: 2020

Usaha Mikro Kecil dan Menengah (UMKM) mempunyai peran yang strategis dalam pembangunan ekonomi nasional. Selain berperan dalam pertumbuhan ekonomi dan penyerapan tenaga kerja, UMKM juga berperan dalam pendistribusian hasil hasil pembangunan (Indonesian Economic Small Medium Enterprises Outlook) Sementara itu, di sisi lain UMKM juga masih dihadapkan pada masalah yang terletak pada proses administrasi. Masalah utama dalam pengembangan UMKM yaitu mengenai pengelolaan keuangan dalam usahanya tersebut. Penelitian ini menggunakan pendekatan kuantitatif dalam usaha menguji hipotesis yang disusun. Adapun jumlah populasi yang diambil dalam penelitian ini sebanyak jumlah pegawai yang ada di UMKM Minuman Sari Apel 34 karyawan. Berdasarkan hasil penelitian yang telah dilakukan dapat disimpulkan bahwa: Secara simultan setelah dilakukan uji F dapat diketahui bahwa variabel latar belakang, skala usaha,umur usaha, dan pengetahuan akuntansi mempunyai pengaruh yang signifikan terhadap membuat laporan keuangan. Apabila latar belakang, skala usaha,umur usaha, dan pengetahuan akuntansi bersama sama dijalankan, maka akan semakin bagus laporan keuangan yang dibuat. Hal ini masing masing variabel memiliki signifikan dan variabel bebas berpengaruh terhadap variabel terikat. Dengan demikian, hipotesis pertama yang dinyatakan bahwa latar belakang pendidikan (X1) skala usaha (X2) umur usaha (X3) dan pengetahuan akuntansi (X4) secara keseluruhan berpengaruh signifikan terhadap membuat laporan keuangan (Y) dinyatakan terbukti.