nils-herrmann/clean_scirepeval huggingface dataset:
Is Fractionated Gamma Knife Radiosurgery a Safe and Effective Treatment Approach for Large Volume >10 cm3) Intracranial Meningiomas?
Venue: World neurosurgery
Year: 2017

Even with great advances in surgery and improved clinical outcome, morbidity and mortality are still high for large volume intracranial meningiomas (MNGs) Recently, Gamma Knife radiosurgery (GKS) has proven to be a safe and effective treatment for many patients with intracranial MNGs. However, single session GKS may increase the risk of radiation induced toxicity for large MNGs. Recently, fractionated GKS (FGKS) has been performed for an increasing number of patients with surgically high risk and large intracranial tumors. In this study, we report our results on the efficacy and safety of FGKS for large MNGs.  The authors performed a retrospective review of 70 patients who underwent GKS for large volume >10 cm3) intracranial MNGs between 2004 and 2015, with a minimum follow up of 12 months. The authors classified these patients into 2 groups of single session GKS, FGKS. The patients were followed by clinical examination and serial imaging with magnetic resonance imaging.  In the single session GKS group (42 patients) the median tumor volume was 15.2 cm3 (range 10.3 48.3 cm3) the median prescription dose was 12 Gy (range 8 14 Gy) and the median follow up duration was 57.8 months (range 14.5 128.4 months) In the FGKS group (28 patients) the median tumor volume was 21 cm3 (range 10.2 54.7 cm3) and the median prescription was 7.5 Gy in 2 fractions (range 5 8 Gy) 6 Gy in 3 fractions (range 5 6.5 Gy) and 4.5 Gy in 4 fractions. The median follow up duration for the FGKS group was 50 months (range 12.5 90.6 months) The overall 5 year tumor control rate was 92.9% in the FGKS group and 88.1% in the single session GKS group. Fourteen (33.3% symptomatic complications after single session GKS were noted, including 5 cases of hemiparesis, 4 of seizure, 3 of peritumoral edema, and 2 of hydrocephalus. Two (7.1% symptomatic complications after FGKS were noted, including 2 cases of hemiparesis. The FGKS group had higher progression free survival (PFS) rate at 5 years (92.9% vs. 88.1% but the differences did not reach statistical significance (P 0.389) The patients in the FGKS group, however, experienced a lower complication rate compared with patients with a single session GKS group (P 0.017, hazard ratio, 5.7:1) CONCLUSION When the large volume >10 cm3) intracranial MNGs are expected to have high morbidity after microsurgery and for patients that have a poor medical status for surgery, FGKS can be considered an alternative with good tumor control and lower complications rates compared with single session GKS (P 0.017)
A parallel immune genetic algorithm for community detection in complex networks
Venue: Int. J. High Perform. Comput. Netw.
Year: 2018

We propose a complex network community discovery method based on parallel immune genetic algorithm for the problem of low efficiency, slow convergence rate and population degradation in community mining method based on genetic algorithm. The algorithm is making use of the principle of parallel immune system to ensure the diversity of population, and enhancing the searching ability by using a single path crossover operator in the initial population and crossover operation, in the initial population and crossover operation to enhance the ability to find the best use of the single path crossover operator, while using the improved character encoding and adaptive mutation operator to further reduce the search space, and improve the population degradation phenomenon. Experiments show that the improved parallel immune genetic algorithm is used to find the problem of complex network community with high accuracy, effectiveness and efficiency.
Treatment of natural rubber latex serum waste by co digestion with macroalgae, Chaetomorpha sp. and Ulva intestinalis, for sustainable production of biogas
Venue: Chemical Papers
Year: 2014

Biogas production is proposed as an alternative approach to using natural rubber Hevea brasiliensis latex serum, a major waste product from the production of concentrated latex. To make the most efficient use of the reactor size, the addition of macroalgal biomass as a co substrate to the fermentation system was investigated. The biogas yield of latex serum as a single substrate was (398 14) L per kg of volatile solids added (VSA) For the co digestion system, algae mixed with serum were investigated at wet mass ratios of Chaetomorpha sp. to Ulva intestinalis to serum at 3:0:1, 2:0:2, 1:0:3, 0:1:3, 0:2:2 and 0:3:1. Theco digestion system with latex serum at 2 to 3 out of 4 parts produced the highest biogas yields within the range of 422 460 L kg 1 of VSA. Other parameters such as carbon to nitrogen mass ratio, total solids content and initial pH value were investigated at the constant ratio of 1: 3 of Chaetomorpha sp. to latex serum, and the parameter settings of 15, 10.5 and 7, respectively, were close to optimal, with an (888 155) Lkg 1 of VSA cumulative gas yield. The methane yield of the optimised system over 45 days was (197 16) L kg 1 of VSA and the reduction in COD was (40 4) Latex serum, whether alone or co digested with algae in biogas production, appears to be promising for the management of waste in concentrated latex production.
Long term effects of acoustic reafference training (ART)
Venue: European journal of sport science
Year: 2017

In sport visual feedback is often used to enhance performance, mostly neglecting the auditory modality. However, athletes produce natural sounds when they move (acoustic reafferences) which they perceive and use to control their movements. We examined the short and long term effects of a training intervention on a complex movement by using acoustic reafferences. Natural step sounds produced during hurdling were recorded and played back to the participants immediately before each trial, with an increase (fast group) decrease (slow group) or no manipulation (control group) in the tempo. All groups increased their hurdling performance regarding overall running time, with the slow group showing the best performance development. After a 10 week retention, the fast and slow group further increased performance, whereas the control group declined. The repeated experience with acoustic information associated with the rhythmic pattern of hurdling may have helped developing a cognitive representation of that movement, especially regarding long term effects.
Deep Learning in Drug Target Interaction Prediction: Current and Future Perspective.
Venue: Current medicinal chemistry
Year: 2020

Drug target Interactions (DTIs) prediction plays a central role in drug discovery. Computational methods in DTIs prediction have gotten more attention because carrying out in vitro and in vivo experiments on a large scale is costly and time consuming. Machine learning methods, especially deep learning, are widely applied to DTIs prediction. In this study, the main goal is to provide a comprehensive overview of deep learning based DTIs prediction approaches. Here, we investigate the existing approaches from multiple perspectives. We explore these approaches to find out which deep network architectures are utilized to extract features from drug compound and protein sequences. Also, the advantages and limitations of each architecture are analyzed and compared. Moreover, we explore the process of how to combine descriptors for drug and protein features. Likewise, a list of datasets that are commonly used in DTIs prediction is investigated. Finally, current challenges are discussed and a short future outlook of deep learning in DTI prediction is given.
ANALISIS RASIO AKTIVITAS UNTUK MENILAI KINERJA KEUANGAN PADA PT INDOFOOD SUKSES MAKMUR Tbk YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI)
Year: 2019

Penelitian ini bertujuan untuk mengetahui analisis rasio aktivitas untuk menilai kinerja keuangan pada PT. Indofood Sukses Makmur Tbk yang terdaftar di Bursa Efek Indonesia (BEI) pada tahun 2014 2018. Data yang digunakan dalam penelitian ini berasal dari laporan keuangan perusahaan berupa neraca dan laporan laba rugi PT. Indofood Sukses Makmur Tbk periode 2014 2018 dengan menggunakan metode deskriptif yang bersifat kuantitatif karena penelitian ini berkaitan dengan objek penelitian. Dengan menggunakan komponen komponen kinerja keuangan dalam hal ini berhubungan dengan rasio aktivitas dengan indikator perputaran piutang, perputaran persediaan, perputaran modal kerja, perputaran aktiva tetap dan perputaran total aktiva. Dari hasil perhitungan diperoleh bahwa analisis rasio aktivitas dengan menggunakan perputaran piutang dan perputaran modal kerja pada PT. Indofood Sukses Makmur Tbk yang terdaftar di Bursa Efek Indonesia (BEI) tahun 2014 2018 telah memenuhi standar rata rata artinya kinerja keuangan perusahaan terbilang baik. Perputaran persediaan, perputaran aktiva tetap dan perputaran total aktiva tidak memenuhi standar rata rata artinya kinerja keuangan perusahaan terbilang tidak baik.
THYROTOXICOSIS IN PATIENTS WITH COVID 19: THE THYRCOV STUDY.
Venue: European journal of endocrinology
Year: 2020

This study assessed thyroid function in patients affected by the coronavirus disease 19 (COVID 19) based on the hypothesis that the cytokine storm associated with COVID 19 may influence thyroid function and/or the severe acute respiratory syndrome coronavirus 2 (SARS CoV 2) may directly act on thyroid cells, such as previously demonstrated for SARS CoV 1 infection.  This single center study was retrospective and consisted in evaluating thyroid function tests and serum interleukin 6 (IL 6) values in 287 consecutive patients (193 males, mean age 64.3+ 14.0 years, range: 27 92) hospitalized for COVID 19 in non intensive care units.  Fifty eight patients (20.2% were found with thyrotoxicosis (overt in 31 cases) 15 (5.2% with hypothyroidism (overt in only 2 cases) 214 (74.6% with normal thyroid function. Serum thyrotropin (TSH) values were inversely correlated with age of patients (rho 0.27; p<0.001) and IL 6 (rho 0.41; p<0.001) In the multivariate logistic regression analysis, thyrotoxicosis resulted to be significantly associated with higher IL 6 (odds ratio 3.25, 95% confidence interval 1.97 5.36; p<0.001) whereas the association with age of patients was lost (p=0.09)  This study provides a first evidence that COVID 19 may be associated with high risk of thyrotoxicosis in relationship with systemic immune activation induced by the SARS CoV 2 infection.
Vibrations and potential energy surfaces (with Argonne V18) of4He and3He
Year: 2017

A potential energy surface is constructed for3,4He with the two body Argonne V18 potential. The minimization suggests a semi rigid asymmetric top structure for4He, where the appropriate pointgroup symmetry is C 2. We calculate the Hessian matrix, determining the 6 normal modes of vibration (in the range 300 700 MeV) The breathing mode is found to lie at too high an energy to be observable and the nature of the excited states of the alpha particle at 20 MeV should probably be sought elsewhere. Similar investigations have been carried out for the A=3 system, finding a planar Cs configuration (scalene triangle) and three excited vibrational states (in the range 600 1900 MeV)
A Modified Multi Objective Optimization Based on Brain Storm Optimization Algorithm
Venue: ICSI
Year: 2014

In recent years, many evolutionary algorithms and population based algorithms have been developed for solving multi objective optimization problems. In this paper, A new Multi objective optimization algorithm Modified Multiobjective Brain Storm Optimization (MMBSO) algorithm is proposed. The clustering strategy acts directly in the objective space instead of in the solution space and suggests potential Pareto dominance areas in the next iteration. A Density Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise (DBSCAN) clustering and Differential Evolution (DE) mutations are used to improve the performance of MBSO. A group of multi objective problems with different characteristics were tested to validate the usefulness and effectiveness of the proposed algorithm. Experimental results show that MMBSO is a very promising algorithm for solving these tested multi objective problems.
A comparison between early contractor involvement (ECI) and project alliancing delivery systems
Year: 2017

The advantages of integrating construction knowledge into design development have long been recognised by the construction industry. Early Contractor Involvement and Project Alliancing are two recent relational contracting labels that have been largely utilised in the Australian construction industry for the public and private infrastructure projects over the last few years. Both models introduce the project delivery contractor's expertise and advice much earlier in the project lifecycle than has traditionally been the case. Although both models are classified as collaborative form of procurement, there are some substantial different requirements in project management behaviours and working relationships between these models. This paper contributes to this area by comparing these two models through in depth semi structured interviews with experts at the senior management level who have been involved in ECI and Alliances projects and played significant roles in the project process. The findings suggest that the change in relationship resulted by transitioning from collaborative approach at the early stage into a traditional type of working environment; gaining greater control through trust, price certainty and contract formality together in different stages of the project; lesser extent and length of senior level managers involvement in the project; and reluctance of contractor to contribute in innovation before the construction stage, are the key project management behaviours and working relationship differences when ECI is adopted for a project in comparison with Project Alliancing.
Penggunaan ICT Dalam Kalangan Guru Pelatih Kemahiran Hidup Fakulti Pendidikan, UTM
Year: 2010

Tujuan kajian ini adalah untuk melihat penggunaan ICT dalam kalangan guru guru pelatih Kemahiran Hidup Fakulti Pendidikan, Universiti Teknologi Malaysia Skudai Johor. Kajian ini melibatkan seramai 151 orang guru pelatih Sarjana Muda Teknologi serta Pendidikan Kemahiran Hidup (SPH) yang telah menjalani latihan praktikum. Instrumen kajian yang telah digunakan ialah set soalan soal selidik yang dibahagikan kepada dua bahagian. Bahagian A digunakan untuk melihat latar belakang responden. Manakala untuk bahagian B pula untuk menjawab keempat empat persoalan kajian yang dikemukakan. Data yang diperolehi telah diproses dengan menggunakan perisian "Statitiscal Package for Sosial Sciences" (SPSS) Version 15.0 untuk menilai peratusan dan min. Dapatan kajian menunjukkan bahawa tahap kemahiran pada guru pelatih Kemahiran Hidup terhadap penggunaan ICT dalam proses pengajaran dan pembelajaran berada pada tahap yang sederhana (min 3.31) manakala sikap guru pelatih Kemahiran Hidup terhadap penggunaan ICT menunjukkan pada tahap yang tinggi (min 4.06) Hasil kajian mendapati wujudnya beberapa masalah terhadap penggunaan penggunaan ICT dalam kalangan guru guru pelatih semasa proses pengajaran dan pembelajaran dan berada pada tahap yang sederhana (min 2.65) Hasil kajian juga mendapati bahawa tidak terdapat perbezaan yang signifikan antara penggunaan ICT dengan faktor jantina dan faktor program dalam kalangan guru pelatih Kemahiran Hidup UTM semasa proses pengajaran dan pembelajaran. Di akhir kajian, penyelidik telah mengemukakan beberapa cadangan yang boleh diteliti oleh pihak pihak tertentu untuk memaju dan meningkatkan lagi penggunaan ICT di kalangan guru pelatih.  ICT, Statitiscal Package for Sosial Sciences (SPSS) Kemahiran Hidup
Peer to Peer Energy Trading in Smart Grid Considering Power Losses and Network Fees
Venue: IEEE Transactions on Smart Grid
Year: 2020

Peer to peer (P2P) energy trading is one of the promising approaches for implementing decentralized electricity market paradigms. In the P2P trading, each actor negotiates directly with a set of trading partners. Since the physical network or grid is used for energy transfer, power losses are inevitable, and grid related costs always occur during the P2P trading. A proper market clearing mechanism is required for the P2P energy trading between different producers and consumers. This paper proposes a decentralized market clearing mechanism for the P2P energy trading considering the privacy of the agents, power losses as well as the utilization fees for using the third party owned network. Grid related costs in the P2P energy trading are considered by calculating the network utilization fees using an electrical distance approach. The simulation results are presented to verify the effectiveness of the proposed decentralized approach for market clearing in P2P energy trading.
Strategies to improve health coverage and narrow the equity gap in child survival, health, and nutrition
Venue: The Lancet
Year: 2012

Implementation of innovative strategies to improve coverage of evidence based interventions, especially in the most marginalised populations, is a key focus of policy makers and planners aiming to improve child survival, health, and nutrition. We present a three step approach to improvement of the effective coverage of essential interventions. First, we identify four different intervention delivery channels ie, clinical or curative, outreach, community based preventive or promotional, and legislative or mass media. Second, we classify which interventions' deliveries can be improved or changed within their channel or by switching to another channel. Finally, we do a meta review of both published and unpublished reviews to examine the evidence for a range of strategies designed to overcome supply and demand bottlenecks to effective coverage of interventions that improve child survival, health, and nutrition. Although knowledge gaps exist, several strategies show promise for improving coverage of effective interventions and, in some cases, health outcomes in children including expanded roles for lay health workers, task shifting, reduction of financial barriers, increases in human resource availability and geographical access, and use of the private sector. Policy makers and planners should be informed of this evidence as they choose strategies in which to invest their scarce resources.
DeepDive: Web scale Knowledge base Construction using Statistical Learning and Inference
Venue: VLDS
Year: 2012

We present an end to end (live) demonstration system called DeepDive that performs knowledge base construction (KBC) from hundreds of millions of web pages. DeepDive employs statistical learning and inference to combine diverse data resources and best of breed algorithms. A key challenge of this approach is scalability, i.e. how to deal with terabytes of imperfect data eciently. We describe how we address the scalability challenges to achieve web scale KBC and the lessons we have learned from building DeepDive.
Modeling of Binary Collision between Multisize Viscoelastic Spheres
Year: 2007

An accurate new contact force model is proposed for describing the grain collision process. The linear and nonlinear contact force models and normal coefficient of restitution in different impact velocities has been studied. A new contact force model for describing the normal collision between two viscoelastic spherical particles has been suggested and the ability of this new model in predicting the correct behavior of normal contact has been confirmed. The constitutive equations of this model have been solved numerically and the result shows a better conformity with experimental result reported by Bridge et al.(1) than the previous models, such as the model presented by Brilliantov et al.(2) By using the suitable finite elements model, the stress and deformation of particles during the collision has been obtained and the result of the finite element model shows a good conformity with our new suggested contact force model in the case of elastic and viscoelastic contact. The behavior of normal coefficient of restitution in multisize spherical particles in different impact velocities and the effect of the size on it has been experimentally studied. In addition to our more suitable contact force model, we achieved some nice conclusions from our experimental data about the loss of energy during the multisize collision and effect of size difference on this loss.
CITY FORMING ELEMENTS OF FORMATION OF THE <COLLAGE> IMAGE OF THE CITY
Year: 2020

The method in architectural and town planning design is considered and aimed at formation of "collage" appearance of the urban environment, according to which the main town forming elements of the environment routes, knots, dominants, landmarks, panoramas and silhouett e. Their interaction are revealed in forming the complex urban environment is studied. The specifi cs of forming a "collage" image of the city are revealed on the basis of identifying the key city forming elements.
Optical Correction Of Space Based Telescopes Using A Deformable Mirror System
Year: 2016

Adaptive optics offer the potential to reduce the high cost and long lead time associated with manufacturing mirrors for spaced based telescopes by allowing lighter materials to be substituted. These lighter materials lack the optical performance of traditional space based mirrors. Deformable mirrors could be used to correct for surface aberrations in order to improve the optical quality by altering their surface to adjust the wavefront. Research focused on placing a deformable mirror at the exit pupil of a simulated telescope. Experimental work first studied a severely degraded one meter carbon fiber reinforced polymer mirror to establish a baseline. Simulations were conducted to see how a notional deformable mirror would be able to negate the optical effects due to a distorted mirror in combination with field angle effects. Results from the investigation showed that a deformable mirror yielded the greatest benefit when applied to a distorted mirror surface. Increasing the actuator count on the deformable mirror boosted the root mean square performance across all field angles. Increasing the actuator stroke yielded minimal benefits after a certain reduction in wave front had already been achieved. Further research is recommended to focus on using a continuous deformable mirror to account for field angle effects.
Frame Interpolation Using Deep Pyramid Flow
Venue: 2018 26th International Conference on Geoinformatics
Year: 2018

In this paper, we made an attempt to generate the middle frame by analyzing an existing video. While the blurry intermediate frames generated by current methods, which are widely used, are not quite satisfying, our method combines the advantages of estimating optical flow and hallucinating the RGB value directly, which is able to generate sharp and realistic frames. Apart from that, it is unsupervised, and SSIM is applied as loss function to better our outcome. Eventually, our method was tested on the UCF 101 and THUMOS 15 dataset. It turned out that the above mentioned approach produces high quality and visually acceptable results, which outperforms other competing methods.