nils-herrmann/clean_scirepeval huggingface dataset:
Predicting successful prosthetic rehabilitation in major lower limb amputation patients: a 15 year retrospective cohort study.
Venue: Brazilian journal of physical therapy
Year: 2018

To determine and compare specific factors that could be associated and predictive with successful prosthetic rehabilitation in major lower limb amputations.  A 15 year long (2000 2014) retrospective observational cohort study was conducted. Two different criteria were used to define successful prosthetic rehabilitation: (1) the ability to walk at least 45m, regardless of assistive devices; and (2) walking >45m without other ambulatory aids than one cane (if required) Age, gender, comorbidities, cause and level of amputation, stump characteristics, ulcers in the preserved limb, and time between surgery and physical therapy were examined as predictors of successful prosthetic rehabilitation.  A total of 169 patients (61.60+ 15.9 years) were included. Regarding walking ability with or without walking aids, the presence of ulcers in the preserved limb was individually associated with failed prosthetic rehabilitation (p<0.001) while being male (OR=0.21; 95%CI=0.06 0.80) and transtibial level of amputation (OR=6.73; 95%CI=1.92 23.64) were identified as independent predictors of failure and success, respectively. Regarding the criterion of successful rehabilitation, a shorter time until rehabilitation was individually associated with improved walking ability (p<0.013) while failure could be predicted by comorbidities (OR=0.48; 95%CI=0.29 0.78) and age groups of 65 75 years old (OR=0.19; 95%CI=0.05 0.78) and over 75 years old (OR=0.19; 95%CI=0.04 0.91)  Regarding walking ability with or without walking aids, male gender and transtibial level of amputation are independently associated with failure and success respectively, whereas older age and comorbidities can predict failed prosthetic rehabilitation when assistive walking devices are considered. Future prospective cohort studies are needed to confirm these findings.
Caliskan/Ozluk/Celik/Oztop/Aksoy/Ucar/Yazici/Kilicaslan/Sever: Uric Acid and Complement Activation in IgA Nephropathy
Year: 2016

The aim of this study is to investigate the utility of clinical [age, gender, mean arterial pressure (MAP) and laboratory parameters [eGFR, hemoglobin (Hgb) serum levels of creatinine, uric acid, albumin, proteinuria, hematuria] and also histopathological lesions (Oxford classification parameters, crescents, intensity and pattern of staining for C3, C1Q, IgA, IgG, IgM) as progression markers in patients with IgA Nephropathy (IgAN)  A total of 111 IgAN patients with a follow up period >1 year or who reached kidney failure [GFR category G5 chronic kidney disease (CKD) <1 year were investigated. Primary endpoint was the development of kidney failure or eGFR decline =50% from the baseline. Kaplan Meier and Cox proportional hazards analyses were performed.  Mean followup period was 33+ 29 months. Thirty seven (33.3% patients progressed to kidney failure and 4 (3.6% patients developed eGFR decline =50% from the baseline after a median of 23 and 65 months, respectively. In multivariate Cox regression analysis, baseline levels of Hgb (HR:0.782, 95% CI 0.559 0.973, p=0.037) serum uric acid (HR:1.293, 95% CI 1.0231.621, p=0.046) eGFR (HR:0.966, 95% CI 0.947 0.984, p=0.004) and intensity of C3 staining (HR:1.550, 95% CI 1.198 1.976, p=0.049) predicted primary endpoint. Serum uric acid level was associated independently with T score (b=0.303, p=0.005) in patients with eGFR>30 ml/ min/m2.  Hyperuricemia and the deposition of C3 are independent risk factors for IgAN progression.
Towards Open Set Identity Preserving Face Synthesis
Venue: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Year: 2018

We propose a framework based on Generative Adversarial Networks to disentangle the identity and attributes of faces, such that we can conveniently recombine different identities and attributes for identity preserving face synthesis in open domains. Previous identity preserving face synthesis processes are largely confined to synthesizing faces with known identities that are already in the training dataset. To synthesize a face with identity outside the training dataset, our framework requires one input image of that subject to produce an identity vector, and any other input face image to extract an attribute vector capturing, e.g. pose, emotion, illumination, and even the background. We then recombine the identity vector and the attribute vector to synthesize a new face of the subject with the extracted attribute. Our proposed framework does not need to annotate the attributes of faces in any way. It is trained with an asymmetric loss function to better preserve the identity and stabilize the training process. It can also effectively leverage large amounts of unlabeled training face images to further improve the fidelity of the synthesized faces for subjects that are not presented in the labeled training face dataset. Our experiments demonstrate the efficacy of the proposed framework. We also present its usage in a much broader set of applications including face frontalization, face attribute morphing, and face adversarial example detection.
DESIGN AND IMPLEMENTATION OF OBJECT ORIENTED COMPUTER SOFTWARE TO SOLVE SECOND ORDER ORDINARY DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS
Year: 2017

With the advent of computers, a lot has been achievable including the use of computers to solve Mathematics and Mathematically related problems. In this work an appraisal of the solution to second order linear ordinary differential equations with constant coeffcients is done. Methods of solution of homogeneous second order ordinary differential equations,  Problem inclusive are described, considering three cases: distinct roots, repeated roots and complex roots. Non homogeneous differential equations, IVP inclusive are also treated using the method of undetermined coeffcients. Object oriented software is developed to solve these second order linear ordinary differential equations with constant coeffcients. The core essence of this work is to develop a system which would be user friendly, reliable (accurate in solution) fast and timely to meet the demands which are not achievable by the traditional method.
Jitter Elimination in Shape Recovery by using Adaptive Neural Network Filter
Venue: Sensors
Year: 2019

Three dimensional (3D) cameras are expensive because they employ additional charged coupled device sensors and optical elements, e.g. lasers or complicated scanning mirror systems. One passive optical method, shape from focus (SFF) provides an efficient low cost solution for 3D cameras. However, mechanical vibration of the SFF imaging system causes jitter noise along the optical axis, which makes it difficult to obtain accurate shape information of objects. In traditional methods, this error cannot be removed and increases as the estimation of the shape recovery progresses. Therefore, the final 3D shape may be inaccurate. We introduce an accurate depth estimation method using an adaptive neural network (ANN) filter to remove the jitter noise effects. Jitter noise is modeled by both Gaussian distribution and non Gaussian distribution. Then, focus curves are modeled by quadratic functions. The ANN filter is designed as an optimal estimator restoring the original position of each frame of the input image sequence in the modeled jitter noise, as a pre processing step before the initial depth map is obtained. The proposed method was evaluated using image sequences of both synthetic and real objects. Experimental results demonstrate that it is reasonably efficient and that its accuracy is comparable with that of existing systems.
DBG2OLC: Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies
Venue: Scientific reports
Year: 2016

The highly anticipated transition from next generation sequencing (NGS) to third generation sequencing (3GS) has been difficult primarily due to high error rates and excessive sequencing cost. The high error rates make the assembly of long erroneous reads of large genomes challenging because existing software solutions are often overwhelmed by error correction tasks. Here we report a hybrid assembly approach that simultaneously utilizes NGS and 3GS data to address both issues. We gain advantages from three general and basic design principles: (i) Compact representation of the long reads leads to efficient alignments. (ii) Base level errors can be skipped; structural errors need to be detected and corrected. (iii) Structurally correct 3GS reads are assembled and polished. In our implementation, preassembled NGS contigs are used to derive the compact representation of the long reads, motivating an algorithmic conversion from a de Bruijn graph to an overlap graph, the two major assembly paradigms. Moreover, since NGS and 3GS data can compensate for each other, our hybrid assembly approach reduces both of their sequencing requirements. Experiments show that our software is able to assemble mammalian sized genomes orders of magnitude more quickly than existing methods without consuming a lot of memory, while saving about half of the sequencing cost.
Teacher Student Interaction Patterns Change During an Early Science Teaching Intervention
Year: 2021

This study aimed to explore the interaction between teachers and young students in terms of their question and answer patterns during science lessons and to investigate whether this changes over the course of an intervention called 'Language as a Tool for learning science' (LaT) It also compared experienced teachers with novices. A total of 16 teachers of which 8 experienced and 8 novice teachers and their students participated in this study. The teachers' utterances were coded with regard to the use of questioning strategies, and the students' reasoning skills were categorized by the use of three types of scientific reasoning skills (observations, predictions, explanations) Consistent with a complex dynamic systems orientation, we analyzed the interactions among these dimensions by means of state space grids (SSG) The results showed that before the intervention, the teacher student interaction often took the form of a relatively rigid pattern in which teachers did not ask questions and students did not respond with reasoning expressions. In the course of the LaT intervention, a richer repertoire and a greater amount of interactions emerged in which knowledge was "co constructed" by means of open ended questions of the teacher and reasoning by the students. The results also suggest that the patterns of experienced and novice teachers were quite similar to each other.
An alternative approach to confidence interval estimation for the win ratio statistic.
Venue: Biometrics
Year: 2015

Pocock et al. (2012, European Heart Journal 33, 176 182) proposed a win ratio approach to analyzing composite endpoints comprised of outcomes with different clinical priorities. In this article, we establish a statistical framework for this approach. We derive the null hypothesis and propose a closed form variance estimator for the win ratio statistic in all pairwise matching situation. Our simulation study shows that the proposed variance estimator performs well regardless of the magnitude of treatment effect size and the type of the joint distribution of the outcomes.
"It Looks Like You Don't Agree" Idiosyncratic Practices and Preferences in Collaborative Writing
Venue: OZCHI
Year: 2020

This paper addresses collaborative writing in academia. Recent research has indicated that while many tools for collaborative writing exist and continue to be developed, co writers frequently employ workarounds and cumbersome substitutions to accommodate their writing approaches and collaborative needs. As part of a process to address these issues, we conducted a co design study on collaborative academic writing with 18 participants. The paper details a three stage co design approach developed for this purpose. During this three stage workshop series, the participants discussed needs, frustrations, and desires in their experiences with collaborative writing. These discussions revealed how participants' different ways of practicing and experiencing collaborative writing entail contrasting needs that are difficult to balance. Based on an analysis of discussions and artifacts from the workshops, we argue that researchers and designers should aim to support diverse practices and propose a protocol for examining and drawing on the contradictions that arise from co writers' idiosyncratic preferences.
ANALISIS KINERJA DISTRIBUSI LOGISTIK PADA PASOKAN BARANG DARI PT. SURYA PAMENANG KE KONSUMEN
Venue: JURMATIS Jurnal Ilmiah Mahasiswa Teknik Industri
Year: 2019

The problem that often occurs in management management is the lack of control in logistics management. The logistics distribution management control policy will have an effect on increasing the performance of the company in distributing demand from producers to customers and managing product inventory in distribution centers. In terms of management performance, PT. Surya Pamenang in fulfilling the needs has been optimal. However, in supporting the performance of supply chain management which is inseparable from the influence of distribution center location on distribution distance, smooth transportation in distribution to consumers and the availability of products at the distribution center to meet the demands of each consumer, it needs to be re evaluated. With this research it is hoped that it can help in overcoming the problems faced by PT. Surya Pamenang. This study concludes that companies can be more efficient and effective in minimizing the risks that may occur for the company. The performance of logistics management supports positive improvements for the companyPermasalahan yang sering terjadi dalam pengelolaan manejemen dalam hal ini kurangnya pengendalian dalam manajemen logistik. Kebijakan pengendalian manajemen distribusi logistik akan berpengaruh dengan terhadap meningkat performa kinerja perusahaan dalam mendistribusikan permintaan dari produsen kekonsumen pelanggan dan mengatur persediaan produk di pusat distribusi. Dilihat dari segi kinerja menejemen PT. Surya Pamenang dalam pemenuhan kebutuhan sudah optimal. Akan tetapi dalam mendukung kinerja manajemen rantai pasokan yang tidak terlepas dari pengaruh lokasi pusat distribusi terhadap jarak Pendistribusian, kelancaran transportasi dalam pendistribusian ke konsumen serta ketersediaan produk di pusat distribusi untuk memenuhi permintaan dari setiap konsumen perlu dievaluasi kembali. Dengan adanya penilitian ini diharpakan dapat membatu dalam mengatasi permasalahan permasalahan yang di hadapi PT. Surya Pamenang. Penelitian ini menyimpulakan bahwa perusahan dapat lebih efisien dan efektif dalam meminimalisir dari resiko yang dapat terjadi bagi perusahaan. Kinerja dari manajemen logistik mendukung peningkatan yang positif bagi perusahaan.
Analytical computation of thermodynamic performance parameters of actual vapour compression refrigeration system with R22, R32, R134a, R152a, R290 and R1270
Year: 2018

The present work focuses on analytical computation of thermodynamic performance of actual vapour compression refrigeration system by using six pure refrigerants. The refrigerants are namely R22, R32, R134a, R152a, R290 and R1270 respectively. A MATLAB code is developed to compute the thermodynamic performance parameters of actual vapour compression system such as refrigeration effect, compressor work, COP, power per ton of refrigeration, compressor discharge temperature and volumetric refrigeration capacity at condensing and evaporating temperatures of 54.4oC and 7.2oC respectively. Analytical results exhibited that COP of both R32 and R134a are 15.95% and 11.71% higher among the six investigated refrigerants. However R32 and R134a cannot be replaced directly into R22 system. This is due to their higher compressor discharge temperature and poor volumetric capacity respectively. The discharge temperature of both R1270 and R290 are lower than R22 by 20 26oC. Volumetric refrigeration capacity of R1270 (3197 kJ/m3) is very close to that of volumetric capacity of R22 (3251 kJ/m3) Both R1270 and R290 shows good miscibility with R22 mineral oil. Overall R1270 would be a suitable ecofriendly refrigerant to replace R22 from the stand point of ODP, GWP, volumetric capacity, discharge temperature and miscibility with mineral oil although its COP is lower.
Optimal Sparse Linear Prediction for Block missing Multi modality Data Without Imputation
Venue: Journal of the American Statistical Association
Year: 2019

In modern scientific research, data are often collected from multiple modalities. Since different modalities could provide complementary information, statistical prediction methods using multimodality data could deliver better prediction performance than using single modality data. However, one special challenge for using multimodality data is related to block missing data. In practice, due to dropouts or the high cost of measures, the observations of a certain modality can be missing completely for some subjects. In this paper, we propose a new direct sparse regression procedure using covariance from multimodality data (DISCOM) Our proposed DISCOM method includes two steps to find the optimal linear prediction of a continuous response variable using block missing multimodality predictors. In the first step, rather than deleting or imputing missing data, we make use of all available information to estimate the covariance matrix of the predictors and the cross covariance vector between the predictors and the response variable. The proposed new estimate of the covariance matrix is a linear combination of the identity matrix, the estimates of the intra modality covariance matrix and the cross modality covariance matrix. Flexible estimates for both the sub Gaussian and heavy tailed cases are considered. In the second step, based on the estimated covariance matrix and the estimated cross covariance vector, an extended Lasso type estimator is used to deliver a sparse estimate of the coefficients in the optimal linear prediction. The number of samples that are effectively used by DISCOM is the minimum number of samples with available observations from two modalities, which can be much larger than the number of samples with complete observations from all modalities. The effectiveness of the proposed method is demonstrated by theoretical studies, simulated examples, and a real application from the Alzheimer's Disease Neuroimaging Initiative. The comparison between DISCOM and some existing methods also indicates the advantages of our proposed method.
Sustainable supply chain management with pricing, greening and governmental tariffs determining strategies: A game theoretic approach
Venue: Comput. Ind. Eng.
Year: 2017

We extended the green supply chain to the context of government intervention.Subsidies have significantly more impact than taxes on profits and sustainability.The green degree of green products is indifferent to tax rate variations.Raising tariffs to a certain threshold leads to make more profit for government.Choosing centralized structure for supply chains leads to produce greener products. Despite the considerable influence of the governmental regulations on the green supply chain, in the most of the studies in the literature of green supply chain, almost the role of the government and interactions between the government and supply chains members decisions are disregarded. In this study, a competitive mathematical model of government as the leader and two competitive green and non green supply chains as the followers is developed and for the first time in this paper, pricing policies, greening strategies and governance tariffs determining in supply chains competition under government financial intervals are discussed. In the presented framework, the government seeks social benefits and determines subsidy and tax rates for green and non green products respectively. The sale prices of products and the green degree of the green product are supply chains decision variables. In centralized and decentralized models, the optimal values of decision variables are gained and some important sensitivity analyses of governance decisions are done. In the governmental decisions area, it is observed that the impact of raising subsidy rate is significantly more than tax rate and it leads to increase in profits of government and supply chains and sustainability of products. Also among the competition of supply chains, cooperating between members makes more profit for them and leads to produce more eco friendly products.
A Multi Scan Labeled Random Finite Set Model for Multi Object State Estimation
Venue: IEEE Transactions on Signal Processing
Year: 2019

State space models in which the system state is a finite set called the multi object state have generated considerable interest in recent years. Smoothing for state space models provides better estimation performance than filtering. In multi object state estimation, the multi object filtering density can be efficiently propagated forward in time using an analytic recursion known as the generalized labeled multi Bernoulli (GLMB) recursion. In this paper, we introduce a multi scan version of the GLMB model to accommodate the multi object posterior recursion, and develop efficient numerical algorithms for computing this so called multi scan GLMB posterior.
Le Secours catholique et les forums sociaux une politisation incrementale (2003 2010)
Year: 2011

Astudy carried out among members of the Secours Catholique delegation to the 2009 World Social Forum in Belem shows how the social forum experience has contributed to renewing activist practices within this Catholic NGO. Although the exclusion of all forms of politicization was a prerequisite of Secours Catholique's participation in these events, some activists have adopted more subtle positions concerning the possible relationship between political and charitable involvement, even going so far as to identify politicization as a necessary outcome of their activities. This process of politicization can be described as incremental to the degree that it is the product of marginal adjustments. Participation in the forums offers this group of activists a resource that helps them legitimize their adoption of innovative roles and renews the definition of the institution. Indeed, this openness to political action is accompanied by the internal promotion of a new definition of Secours Catholique action in addition to helping the poor, this institution now also commits itself to fighting injustice alongside of them.