nils-herrmann/clean_scirepeval huggingface dataset:
Sweet Ices with High Nutritional Value
Year: 2019

We have developed a recipe and described the technology of obtaining the sweet ice on the natural basis, as an alternative to the sweet products with artificial components. The product is frozen with a wooden stick fruit and vegetable puree with added honey, topped with walnut emulsion. Topping has a homogeneous texture without feeling of the nuts. The light absorption index at various wavelengths was determined; sedimentation analysis and microstructural studies were conducted to confirm the stability of the disperse system of the topping. The chemical composition of the topping was studied. The topping contains up to 43.5% fats, about 19.8% proteins and 31% carbohydrates. The fatty acid composition of the system was investigated, and the correlation of fatty acids o 3 and o 6 was found to be 1:4. Sweet ice due to its carefully selected raw materials composition may be an alternative to conventional milk based ice cream for people with lactose intolerance and for vegetarians.
Cloud Assisted Attribute Based Data Sharing with Efficient User Revocation in the Internet of Things
Venue: IEEE Wireless Communications
Year: 2020

Nowadays, the development of the Internet of Things (IoT) has received much attention from both industry and academia. Sensors and devices connected to the IoT network can conveniently gather and collect information for further usage and analysis by IoT users. However, a large quantity of data produced by IoT devices contain sensitive information, which leads to many challenging security issues in IoT systems. The most important one is how to efficiently and securely share IoT data with valid IoT users while forbidding others from obtaining the data. In this article, we propose a cryptographic method to protect the privacy of IoT data while maintaining the functionality of efficient data sharing and user revocation. Our solution relies on a revocable attribute based encryption (ABE) scheme to encrypt IoT data. The ABE technique makes fine grained access control available on the encrypted IoT data, while the revocation technique makes invalid users unable to access future encrypted IoT data. To alleviate the issue of resource limitation of IoT devices, we involve a cloud assisted data sharing and user revocation technique. Finally, we experimentally tested our scheme, and the performance evaluation results demonstrate the practice of our solution scheme.
Wuthering heights as a tragedy of extreme passions
Year: 2019

Wuthering Heights, Emily Bronte's only Novel was published in 1847 under the pseudonym of "Ellis Bell" It was written between October 1845 and June 1846. After Emily's death, Charlotte Bronte edited the manuscript of Wuthering Heights. Although Wuthering Heights is now a classic of English literature but it was controversial because of its unusually stark depiction of mental and physical cruelty and it challenged strict Victorian ideals regarding religious hypocrisy, morality, social classes and gender inequality. The novel is about love and revenge, about loss and desire Wuthering Heights is symbolic of the storm and discord its inmates Hindley, Heath cliff and Catherine are all children of the storm. On the other hand Thrush cross Grange is symbolic of the calm, gentle, orderly life its inmates, Edger Linton, Isabella are children of the calm. There are two inter marriages Heath cliff of the Heights marries Isabella of the Grange; while Cathy of the Heights marries Edgar of the Grange. Later Catherine the daughter of Edgar and Catherine, marries Hare ton, the son of Hindley and Frances thus bringing the two families and houses into harmony. Heath cliff and Catherine's passionate love and Heath cliff's revenge is the main theme of the novel. This paper will analyze treatment of passion of love and passion of revenge.
Dimensionality Reduction for Hyperspectral Data Based on Sample Dependent Repulsion Graph Regularized Auto encoder
Year: 2017

To achieve high classification accuracy of hyperspectral data, a dimensionality reduction algorithm called Sample dependent repulsion graph regularized auto encoder (SRGAE) is proposed. Based on the sample dependent graph, by applying the repulsion force to the samples from different classes but nearby, a sampledependent repulsion graph is built to make the samples from the same class will be projected to samples that are close by and the samples from different classes will be projected to samples that are far away. The sampledependent repulsion graph can avoid the neighborhood parameter selection problem existing in the nearest neighborhood graph. By integrating advantages of deep learning and graph regularization technique, the SRGAE can maintain the learned deep features are consistent with the inherent manifold structure of the original hyperspectral data. Experimental results on two real hyperspectral data show that, when compared with some popular dimensionality reduction algorithms, the proposed SRGAE can yield higher classification accuracy.
The lateral collateral ligament complex of the elbow: quantitative anatomic analysis of the lateral ulnar collateral, radial collateral, and annular ligaments.
Venue: Journal of shoulder and elbow surgery
Year: 2019

Injury to the lateral ulnar collateral ligament (LUCL) complex of the elbow often results in posterolateral rotatory instability. Although surgical reconstruction of the LUCL is often required, gaps in our understanding of the LUCL complex remain. The purpose of this study was to provide a robust and accurate characterization of the lateral elbow ligamentous complex.  The LUCLs, radial collateral ligaments, and annular ligaments in 10 cadaveric elbows were 3 dimensionally digitized and reconstructed using computed tomography. Surface areas, origin and insertion footprint areas, distances between perceived footprint centers and geometric footprint centroids, distances to key landmarks, and ligament isometry were measured.  The mean surface area of the LUCL was 229.3 mm2. The mean origin and insertion footprint areas were 26.0 mm2 and 22.9 mm2, respectively. The mean distance between the apparent centers and the geometric centroids of the footprints was 1 mm. The center of the LUCL origin was 10.7 mm distal to the lateral epicondyle and 8.2 mm from the capitellar articular margin. The center of the LUCL insertion was 3.3 mm distal to the apex of the supinator crest. The LUCL showed anisometric properties as elbow flexion increased (P .001)  The LUCL origin center was 10.7 mm from the lateral epicondyle, whereas the insertion center was 3.3 mm from the apex of the supinator crest. The visually estimated footprint centers were generally within 1 mm of the geometric centroid. These geometries and distances to key landmarks will be informative for surgeons seeking to perform anatomic ligament reconstruction procedures.
Large scale multi label text classification of a hierarchical dataset using Rocchio algorithm
Venue: 2016 International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)
Year: 2016

Hierarchical data is becoming increasingly prominent, especially on the web. Wikipedia is one such example where there are millions of documents that are classified into multiple classes in a hierarchical fashion. This gives rise to an interesting problem of automating the classification of new documents. As the size of the dataset grows, so does the number of classes. Further, there seems to be sparsity issue even with the increase in the dataset. Therefore, this poses a challenge to classify data in such a manner. We present two different algorithms based on text categorization: Rocchio algorithm and kNN. We implement and compare the above mentioned methods to better understand the approach to take in classifying hierarchical data.
Autologous tooth graft for maxillary sinus augmentation: A multicenter clinical study
Year: 2019

The aim of this pilot study was to assess the performance of autologous tooth matrix, used as a graft material for maxillary sinus augmentation, after at least 1 year of follow up.  The patients included in this prospective case series study were treated in four clinical centers using standardized clinical procedures.  Patients with atrophic posterior maxilla in need of sinus augmentation before rehabilitation with implant supported prostheses, and with compromised teeth to be extracted, were included. The extracted tooth was cleaned and processed by a recently introduced automated device, which allows fragmentation and partial demineralization of the tooth matrix, and used as a graft material for sinus augmentation. A covering membrane was used to protect the graft. Implants were placed after 6 months of healing. Five bone biopsies of the grafted sites were taken at the time of implant surgery, for histological analysis. Implants were followed for at least 1 year after placement. Cone beam computed tomography and/or standardized periapical radiographs were used to assess the ridge height before and after grafting, up to 1 year postimplantation.  Descriptive statistics were used to synthesize the results, using mean values and standard deviations.  Twenty three patients (9 males, mean age at surgery 57.1 9.4 years) were treated and 40 implants were placed in grafted sites. Residual ridge height was 5.22 2.04 mm and increased to 14.72 2.83 mm after grafting. One implant failed during healing phase. Cumulative implant survival rate was 97.5% after 19.1 8.0 months of follow up (range 12.3 44.1 months) After 6 months of healing, the graft height appeared stable. No signs of sinus infection were present. The histologic analysis revealed neither inflammatory nor infective reaction against tooth graft. Granules appeared surrounded by newly formed bone and partially resorbed, indicating ongoing remodeling.  Autologous human tooth matrix can be successfully used as graft material in sinus augmentation procedure.
Optimal Pricing of the Dual Channel Closed Loop Supply Chain in Advance Selling Mode
Year: 2020

Nowadays, advance selling has become increasingly popular as one of the essential sales strategies. Due to the continuous development of e commerce and remanufactured products, it is urgent for merchants to decide how to price the product properly. This paper establishes a two stage pricing model for the dual channel closed loop supply chain in advance selling mode and analyzes the impact of market competition and consumers' purchasing behavior on pricing strategies. Then we found that (1) The retailer's optimal price is lower when the market competition is relatively significant. (2) When the recovery rate rises, the optimal price remains steady, but the profits of the retailer and the manufacturer both increase. (3) The advance selling price is generally higher than the regular selling price. However, the emergence of remanufactured products hugely increases the regular selling price.
Stealthier Attack on Zone Routing Protocol in Wireless Sensor Network
Venue: 2014 Fourth International Conference on Communication Systems and Network Technologies
Year: 2014

In Wireless Sensor Network (WSN) routing is a challenging task due to traffic and network size. To route the number of packets in WSN, the idea is to consider about Zone Routing Protocol (ZRP) The first hybrid routing protocol having proactive and reactive features was ZRP. Reconfigurable Wireless Networks has an ability to reconstruct its networks if network crash takes place and ZRP follow, highly mobile environment and it helps to enhance capabilities of proactive protocol routing protocols and because of increase in the search of route per time for same route or different latency decreases of reactive protocol. It is very important to analyze the scalability characteristics of the routing protocols with respect to these parameters. To protect from the stealthier version of sinkhole attacks in ZRP, sinkhole indicator is used so that performance of network increases.
Improvement in process of care and outcome after a multicenter severe sepsis educational program in Spain.
Venue: JAMA
Year: 2008

Concern exists that current guidelines for care of patients with severe sepsis and septic shock are followed variably, possibly due to a lack of adequate education.  To determine whether a national educational program based on the Surviving Sepsis Campaign guidelines affected processes of care and hospital mortality for severe sepsis.  Before and after design in 59 medical surgical intensive care units (ICUs) located throughout Spain. All ICU patients were screened daily and enrolled if they fulfilled severe sepsis or septic shock criteria. A total of 854 patients were enrolled in the preintervention period (November December 2005) 1465 patients during the postintervention period (March June 2006) and 247 patients during the long term follow up period 1 year later (November December 2006) in a subset of 23 ICUs.  The educational program consisted of training physicians and nursing staff from the emergency department, wards, and ICU in the definition, recognition, and treatment of severe sepsis and septic shock as outlined in the guidelines. Treatment was organized in 2 bundles: a resuscitation bundle (6 tasks to begin immediately and be accomplished within 6 hours) and a management bundle (4 tasks to be completed within 24 hours) MAIN OUTCOME MEASURES Hospital mortality, differences in adherence to the bundles' process of care variables, ICU mortality, 28 day mortality, hospital length of stay, and ICU length of stay.  Patients included before and after the intervention were similar in terms of age, sex, and Acute Physiology and Chronic Health Evaluation II score. At baseline, only 3 process of care measurements (blood cultures before antibiotics, early administration of broad spectrum antibiotics, and mechanical ventilation with adequate inspiratory plateau pressure) we had compliance rates higher than 50% Patients in the postintervention cohort had a lower risk of hospital mortality (44.0% vs 39.7% P .04) The compliance with process of care variables also improved after the intervention in the sepsis resuscitation bundle (5.3% [95% confidence interval [CI] 4% 7% vs 10.0% [95% CI, 8% 12% P .001) and in the sepsis management bundle (10.9% [95% CI, 9% 13% vs 15.7% [95% CI, 14% 18% P .001) Hospital length of stay and ICU length of stay did not change after the intervention. During long term follow up, compliance with the sepsis resuscitation bundle returned to baseline but compliance with the sepsis management bundle and mortality remained stable with respect to the postintervention period.  A national educational effort to promote bundles of care for severe sepsis and septic shock was associated with improved guideline compliance and lower hospital mortality. However, compliance rates were still low, and the improvement in the resuscitation bundle lapsed by 1 year.
Oral habits as risk factors for anterior open bite in the deciduous and mixed dentition cross sectional study.
Venue: European journal of paediatric dentistry
Year: 2013

Anterior open bite (AOB) is an occlusal anomaly commonly associated with oral habits (OH) The aim of this study was to determine the prevalence of OH as a risk factor for the AOB.  A group of children aged between 3 and 12 years were observed. The statistical methodology included independent chi square test, Fisher's exact test and binary logistic regression.  The frequency of oral habits was of 43.5% in the deciduous dentition and 54.2% in the mixed dentition. There was a statistically significant association of pacifier sucking: 61.7 and 16.1 odd ratios (OR) and tongue thrust: 3.9 and 9.2 OR with AOB in both groups, respectively. Thumb sucking occurred only in the deciduous dentition with 5.6 OR.  OH and AOB have a high frequency in children. They hinder the normal development of dental and skeletal structures. As OH are risk factors for AOB, the damaging habits most frequently associated are: pacifier sucking, thumb sucking, and tongue thrust. Due to the correlation between the prevalence of AOB and OH, prevention strategies incorporating psychological data related to children should be integrated into a national public health programme.
Self assembly of carbon nanotubes into two dimensional geometries using DNA origami templates.
Venue: Nature nanotechnology
Year: 2010

A central challenge in nanotechnology is the parallel fabrication of complex geometries for nanodevices. Here we report a general method for arranging single walled carbon nanotubes in two dimensions using DNA origami a technique in which a long single strand of DNA is folded into a predetermined shape. We synthesize rectangular origami templates approximately 75 nm x 95 nm) that display two lines of single stranded DNA 'hooks' in a cross pattern with approximately 6 nm resolution. The perpendicular lines of hooks serve as sequence specific binding sites for two types of nanotubes, each functionalized non covalently with a distinct DNA linker molecule. The hook binding domain of each linker is protected to ensure efficient hybridization. When origami templates and DNA functionalized nanotubes are mixed, strand displacement mediated deprotection and binding aligns the nanotubes into cross junctions. Of several cross junctions synthesized by this method, one demonstrated stable field effect transistor like behaviour. In such organizations of electronic components, DNA origami serves as a programmable nanobreadboard; thus, DNA origami may allow the rapid prototyping of complex nanotube based structures.
Robust Trajectory and Transmit Power Design for Secure UAV Communications
Venue: IEEE Transactions on Vehicular Technology
Year: 2018

Unmanned aerial vehicles (UAVs) are anticipated to be widely deployed in future wireless communications, due to their advantages of high mobility and easy deployment. However, the broadcast nature of air to ground line of sight wireless channels brings a new challenge to the information security of UAV ground communication. This paper tackles such a challenge in the physical layer by exploiting the mobility of UAV via its trajectory design. We consider a UAV ground communication system with multiple potential eavesdroppers on the ground, where the information on the locations of the eavesdroppers is imperfect. We formulate an optimization problem, which maximizes the average worst case secrecy rate of the system by jointly designing the robust trajectory and transmit power of the UAV over a given flight duration. The nonconvexity of the optimization problem and the imperfect location information of the eavesdroppers make the problem difficult to be solved optimally. We propose an iterative suboptimal algorithm to solve this problem efficiently by applying the block coordinate descent method, \mathcal {S} procedure, and successive convex optimization method. Simulation results show that the proposed algorithm can improve the average worst case secrecy rate significantly, as compared to two other benchmark algorithms without robust design.
Universal scaling in sports ranking
Year: 2012

Ranking is a ubiquitous phenomenon in human society. On the web pages of Forbes, one may find all kinds of rankings, such as the world's most powerful people, the world's richest people, the highest earning tennis players, and so on and so forth. Herewith, we study a specific kind sports ranking systems in which players' scores and/or prize money are accrued based on their performances in different matches. By investigating 40 data samples which span 12 different sports, we find that the distributions of scores and/or prize money follow universal power laws, with exponents nearly identical for most sports. In order to understand the origin of this universal scaling we focus on the tennis ranking systems. By checking the data we find that, for any pair of players, the probability that the higher ranked player tops the lower ranked opponent is proportional to the rank difference between the pair. Such a dependence can be well fitted to a sigmoidal function. By using this feature, we propose a simple toy model which can simulate the competition of players in different matches. The simulations yield results consistent with the empirical findings. Extensive simulation studies indicate that the model is quite robust with respect to the modifications of some parameters.
Multistage classifier based approach for Alzheimer's disease prediction and retrieval
Year: 2019

The most prevalent and common type of dementia is Alzheimer's disease (AD) However, it is notable that very few people who are suffering from AD are diagnosed correctly and in a timely manner. The definite cause and cure of the disease are still unavailable. The symptoms might be more manageable and its treatment can be more effective, when the impairment is still at an earlier stage or at MCI (mild cognitive impairment) AD can be clinically diagnosed by physical and neurological examination, so there is an need for developing better and efficient diagnostic tools for AD. In recent years, content based image retrieval (CBIR) systems have been widely researched and applied in many medical applications. Combining an automated image classification system and the radiologist's professional knowledge, to increase the accuracy of prediction and diagnosis, were the main motives. In this paper, a multistage classifier using machine learning, including Naive Bayes classifier, support vector machine (SVM) and K nearest neighbor (KNN) was used to classify Alzheimer's disease more acceptably and efficiently. For this, MRI (Magnetic resonance imaging) scans were processed by FreeSurfer, a powerful software tool suitable for processing and normalizing brain MRI images. We also applied a feature selection technique PSO (particle swarm optimization) to many feature vectors in order to obtain the best features that represent the salient characteristics of AD. The results of the proposed method outperform individual techniques in a benchmark database provided by the Alzheimer's Disease Neuroimaging Institute (ADNI)