nils-herrmann/clean_scirepeval huggingface dataset:
Towards Wide Learning: Experiments in Healthcare
Venue: ArXiv

In this paper, a Wide Learning architecture is proposed that attempts to automate the feature engineering portion of the machine learning (ML) pipeline. Feature engineering is widely considered as the most time consuming and expert knowledge demanding portion of any ML task. The proposed feature recommendation approach is tested on 3 healthcare datasets: a) PhysioNet Challenge 2016 dataset of phonocardiogram (PCG) signals, b) MIMIC II blood pressure classification dataset of photoplethysmogram (PPG) signals and c) an emotion classification dataset of PPG signals. While the proposed method beats the state of the art techniques for 2nd and 3rd dataset, it reaches 94.38% of the accuracy level of the winner of PhysioNet Challenge 2016. In all cases, the effort to reach a satisfactory performance was drastically less (a few days) than manual feature engineering.
POSS modified UV curable coatings with improved scratch hardness and hydrophobicity

The work is devoted to modification of UV curable coatings with mixtures of POSS functionalized with octa(methacryloxy) (8M POSS) or octa(fluoroalkyl) (8F POSS) substituents. Two types of coatings were formulated: for wood derived substrate and for aluminum substrate. Modification with POSS mixtures leads to a synergistic effect: the improvement of the hydrophobicity of the coating surface and its scratch hardness by POSS mixtures is better than by individual POSS derivatives. The observed increase in the contact angle results probably from the enhanced surface roughness caused by 8M POSS aggregates and is further enhanced by hydrophobic properties of POSS functionalized with fluoroalkyl substituents. The improvement of the scratch resistance is associated mainly with the formation of a sliding layer arising by diffusion of 8F POSS molecules to the coating surface. The significant increase of the surface hydrophobicity (by 60% and scratch hardness (even by 400% is obtained using only small amounts (1.5 3 wt of the investigated POSS compounds.
Copy move forgery detection using zernike and pseudo zernike moments
Venue: Int. Arab J. Inf. Technol.

Despite the fact that images are a primary source of information, the rapid growing of tools that used to amendment images makes the reliability of the digital images in risk. Copy Move forgery is one important method to forge an image; where part of the image is copied and pasted in another part of the same image. Regarding the related literature in this topic, many methods were developed to detect Copy Move forgery; each method has its own strengths and weaknesses. In this paper, the capability and the efficiency of using Pseudo Zernike Moment (PZM) and Zernike Moments (ZM) in detecting this type of forgery are tested. For evaluating the performance of these methods, comprehensive and authentic dataset is used for testing purposes. The results showed that both methods (PZM based and ZM based) are robust against blurring, noise adding, color reduction, brightness change, and contrast adjustments that may affect the image with an acceptable false match. However, rotated and scaled copied region still give weak results. Moreover, the PZM based method is slightly faster and more accurate than ZM based method.
Illustrative multilevel focus+context visualization along snaking paths
Venue: The Visual Computer

Artistic anatomical illustrations often focus on cross sections of long, layered, cylindrical structures. Such illustrations emphasize structures along transitions between focal points over a snaking path that optimally traverses the span of a limited space. The transitions between focal points form a multilevel visualization hierarchy. In this article, we present an approach to automatically create focus+context visualizations of the described form. First, a method to automatically create a snaking path through space by applying a pathfinding algorithm is presented. A 3D curve is created based on a 2D snaking path. Then we describe a process to deform cylindrical structures in segmented volumetric models along the 3D curve and provide preliminary geometric models as templates for artists to build upon. Our constrained volume sculpting method enables the removal of occluding material to reveal cylindrical structures of interest intended for such deformation. Finally, we present a set of created visualizations that demonstrates the flexibility of our approach and effectively mimics the form of visualization observed in motivating illustrations.
Sistem Pendukung Keputusan untuk Pembelian Smartphone Menggunakan Metode Simple Additive Weight dan Fuzzy Associative Memory

Tingkat perkembangan penggunaan teknologi informasi di Indonesia semakin canggih dan tidak dapat dihindari. Semakin bertambahnya zaman, smartphone hadir dengan spesifikasi tinggi dan harga yang dapat dijangkau oleh masyarakat di Indonesia. Sehingga kurangnya informasi tentang spesifikasi smartphone sangat mempengaruhi pemilihan smartphone yang digunakan. Berdasarkan permasalahan tersebut, maka dibangunlah Sistem Pendukung Keputusan untuk pemilihan sebuah smartphone yang sesuai dengan kebutuhan konsumen. Sistem ini dibangun menggunakan metode Simple Additive Weight (SAW) dan metode Fuzzy Associative Memory (FAM) Terdapat dua pengujian yang dilakukan yaitu pembandingan perhitungan manual dengan perhitungan yang dilakukan sistem. Hasilnya tidak ada perbedaan antara metode manual dan system. Pengujian terakhir dilakukan dengan menggunakan kuesioner terhadap responden riil. Hasilnya responden sangat setuju terhadap sistem dirancang dapat membantu konsumen dalam pemilihan smartphone.
Understanding Satisfied and Dissatisfied Hotel Customers: Text Mining of Online Hotel Reviews

This article aims to examine the underpinnings of satisfied and unsatisfied hotel customers. A text mining approach was followed and online reviews by satisfied and dissatisfied customers were compared. Online reviews of 2,510 hotel guests were collected from TripAdvisor.com for Sarasota,  The research findings revealed some common categories that are used in both positive and negative reviews, including place of business (e.g. hotel, restaurant, and club) room, furnishing, members, and sports. Study results further indicate that satisfied customers who are willing to recommend a hotel to others refer to intangible aspects of their hotel stay, such as staff members, more often than unsatisfied customers. On the other hand, dissatisfied customers mention more frequently the tangible aspects of the hotel stay, such as furnishing and finances. The study offers clear theoretical and managerial implications pertaining to understanding of satisfied and dissatisfied customers through the use of text mining and hotel ratings via review websites, social media, blogs, and other online platforms.
Fingerprick autologous blood for dry eyes and persistent epithelial defects
Venue: Eye

Autologous serum has been used effectively to treat severe dry eye syndrome1 (DES) and persistent epithelial defects2 (PED) However, difficulty obtaining funding and delays in production often make it unfeasible for acute cases. The authors report on finger prick autologous blood (FAB)3 as an alternative treatment option. Patients cleaned a finger with an alcohol steret. Next, they produced a drop of blood using a diabetic lancet and applied it to their lower fornix. They repeated this technique to apply FAB four times per day to each eye. A different finger was used for each eye to reduce any risk of cross infection.
Food Containers and Packaging Materials as Possible Source of Hazardous Chemicals to Food

Plastics are widely used around the world as packaging material covering a wide range of applications. Plastics could be a source of chemicals into food through migration of various compounds (polymers, monomers, and processing aids) from packaging to foodstuffs. The intentionally added substances (IAS) are listed and controlled by laws and regulations from various organisations. For these authorised substances, specific migration limits (SML) have been established on the basis of migration tests performed on the plastic material using different food simulants according to the food type. These tests are based on the risk assessment of the single substance able to migrate, simulating the worst case of the foreseeable conditions, in order to ensure the safety of the final material. However, over 50 of compounds migrating from food contact materials are non intentionally added substances (NIAS) The European Regulation No. 10/2011 concerning plastics and multilayers recently became more strict, stating that 'the risk assessment of a substance should cover the substance itself, relevant impurities and foreseeable reaction and degradation products in the intended use' This chapter presents the materials used in food containers and food packaging, the additives employed in different types of plastics in order to improve their properties, current legislation with emphasis on European Regulation No. 10/2011, and the migration tests and specific migration limits. In addition, there is discussion on the compounds usually found in various food categories and bottled water due to the presence of IAS or NIAS in packaging materials.
Molecular Mechanisms of Anti metastatic Activity of Curcumin.
Venue: Anticancer research

Cancer is the leading cause of death worldwide. Although cancer occurs as a localized disease, its morbidity and mortality rates remain high due to the ability of cancer cells to break off from the primary tumor and spread to distant organs. Currently, chemotherapy is the main treatment for cancer; however, the increase in proportion of drug resistant cancer cells and unpleasant side effects of chemotherapy are still the major challenges in cancer therapy. Curcumin is a natural polyphenol compound and the main bioactive constituent of Indian spice turmeric, widely used in Indian and Chinese medicines. Curcumin has well known therapeutic actions, including anti inflammatory, anti microbial, anti oxidant and anti cancer properties. Curcumin induces cancer cell apoptosis through regulating various signaling pathways and arresting tumor cell cycle. Curcumin's therapeutic/ preventative actions on metastatic cancers have not been yet fully understood and studied. The present review explores the potential anti metastatic mechanisms of curcumin, including inhibition of transcription factors and their signaling pathways (e.g. NF kB, ApP 1 and STAT3) inflammatory cytokines (e.g. CXCL1, CXCL2, IL 6, IL 8) multiple proteases (e.g. uPA, MMPs) multiple protein kinases (e.g. MAPKs, FAK) regulation of miRNAs (e.g. miR21, miR181b) and heat shock proteins (HLJ1) In addition, possible synergistic actions of combination therapy of curcumin with current chemotherapies are discussed in this review.
"Make Sure Somebody Will Survive from This" Transformative Practices of Hope among Danish Organ Donor Families.
Venue: Medical anthropology quarterly

Based on anthropological fieldwork among Danish organ donor families and hospital staff in neurointensive care units, this article explores the transformative practices of hope in Danish organ donation. Focusing on various phases of the organ donation process, I demonstrate how families and professionals practice hope in astounding ways: when hoping for organs, when hoping for the end of patient suffering, when hoping for the usability of the donor body, and when hoping to help future donor families by sharing painful experiences. By focusing on such practices and transformations of hope, this article sheds light on the social negotiations of life and death among families and staffs in medical contexts and describes how the dignity of the deceased donor and the usability of the donor body are closely connected in family attempts to make donation decisions meaningful during and after a tragic death.
American College of Rheumatology/Spondylitis Association of America/Spondyloarthritis Research and Treatment Network 2015 Recommendations for the Treatment of Ankylosing Spondylitis and Nonradiographic Axial Spondyloarthritis
Venue: Arthritis rheumatology

To provide evidence based recommendations for the treatment of patients with ankylosing spondylitis (AS) and nonradiographic axial spondyloarthritis (SpA)
How do verbal short term memory and working memory relate to the acquisition of vocabulary and grammar? A comparison between first and second language learners.
Venue: Journal of experimental child psychology

Previous studies show that verbal short term memory (VSTM) is related to vocabulary learning, whereas verbal working memory (VWM) is related to grammar learning in children learning a second language (L2) in the classroom. In this study, we investigated whether the same relationships apply to children learning an L2 in a naturalistic setting and to monolingual children. We also investigated whether relationships with verbal memory differ depending on the type of grammar skill investigated (i.e. morphology vs. syntax) Participants were 63 Turkish children who learned Dutch as an L2 and 45 Dutch monolingual children (mean age 5 years) Children completed a series of VSTM and VWM tasks, a Dutch vocabulary task, and a Dutch grammar task. A confirmatory factor analysis showed that VSTM and VWM represented two separate latent factors in both groups. Structural equation modeling showed that VSTM, treated as a latent factor, significantly predicted vocabulary and grammar. VWM, treated as a latent factor, predicted only grammar. Both memory factors were significantly related to the acquisition of morphology and syntax. There were no differences between the two groups. These results show that (a) VSTM and VWM are differentially associated with language learning and (b) the same memory mechanisms are employed for learning vocabulary and grammar in L1 children and in L2 children who learn their L2 naturalistically.
Development of type I/type II hybrid dye sensitizer with both pyridyl group and catechol unit as anchoring group for type I/type II dye sensitized solar cell.
Venue: Physical chemistry chemical physics PCCP

A type I/type II hybrid dye sensitizer with a pyridyl group and a catechol unit as the anchoring group has been developed and its photovoltaic performance in dye sensitized solar cells (DSSCs) is investigated. The sensitizer has the ability to adsorb on a TiO2 electrode through both the coordination bond at Lewis acid sites and the bidentate binuclear bridging linkage at Bronsted acid sites on the TiO2 surface, which makes it possible to inject an electron into the conduction band of the TiO2 electrode by the intramolecular charge transfer (ICT) excitation (type I pathway) and by the photoexcitation of the dye to TiO2 charge transfer (DTCT) band (type II pathway) It was found that the type I/type II hybrid dye sensitizer adsorbed on TiO2 film exhibits a broad photoabsorption band originating from ICT and DTCT characteristics. Here we reveal the photophysical and electrochemical properties of the type I/type II hybrid dye sensitizer bearing a pyridyl group and a catechol unit, along with its adsorption modes onto TiO2 film, and its photovoltaic performance in type I/type II DSSC, based on optical (photoabsorption and fluorescence spectroscopy) and electrochemical measurements (cyclic voltammetry) density functional theory (DFT) calculation, FT IR spectroscopy of the dyes adsorbed on TiO2 film, photocurrent voltage (I V) curves, incident photon to current conversion efficiency (IPCE) spectra, and electrochemical impedance spectroscopy (EIS) for DSSC.
Cloud based CBIR SaaS Model using Hybrid Wavelet Type I Type II based Texture Feature Extraction

Content Based Image Retrieval (CBIR) is a technique used for efficient retrieval of relevant images from large databases based on features extracted from the image. Image Feature extraction is a method used to extract feature vectors of an image based on color, shape, texture etc. This paper proposes a system that can be used for retrieving images related to query image. Kekre's Hybrid Wavelet Type I Type II are used for feature extraction. Hybrid Wavelet transforms are generated using orthogonal transforms such as Discrete Cosine transform (DCT) Walsh transform, Haar transform, Hartley transform, Kekre transform in any combination. The feature vectors of the database images are stored and then are compared to the feature vectors of the query image. The image information is sorted in decreasing order of similarity. This paper aims at implementing a CBIR system on cloud due to which services of CBIR will be dynamically made available resulting in increase in applications processing speed, scalability, flexibility and availability. Similarity measures like precision and recall are used for performance evaluation.
The Impact of Strategic Human Resource Management on Organizational Performance:A Case Study for Saudi Arabia Basic Industries Corporation (SABIC)

Strategic human resource management is the proactive management of people. It requires thinking ahead, and planning ways for a company to better meet the needs of its employees, and for the employees to better meet the needs of the company. This can affect the way things are done at a business site, improving everything from hiring practices and employee training programs to assessment techniques and discipline.This study is descriptive based on the collection and analysis of results of studies, reports, periodicals and books related to the topic of study in order to investigate the relationships between strategic human resource management (SHRM) on organizational performance ,case study of Saudi Arabia Basic Industries Corporation (SABIC).The Purpose of this Study is to demonstrate the meaning of strategic human resource, the meaning of organizational performance ,advanced studies related to the topic of study the relationship between strategic human resource management on organizational performance Saudi Arabia Basic Industries Corporation (SABIC) and How (SABIC) company enhance organizational performance through its HR strategy. The researcher has adapt four possible types of measurement for organizational performance in SABIC 1) Human Resource outcomes (turnover, absenteeism, job satisfaction) 2) organizational outcomes (productivity, quality, service) 3) financial accounting outcomes (ROA, profitability) and 4) capital market outcomes, (stock price, growth, returns) Based on descriptive study, the researcher has analyzed SABIC performance. The finding of this study that (SABIC) has overall good performance due to Strategic human resource management .However continuo improvement is required specially decline in oil prices in the last quarter of 2014 and global financial crisis.In the conclusion of this study, the researcher has mentioned to 10 important points in SABIC performance Keywords: strategic human resource management organizational performance
Distributed averaging with quantized communication over dynamic graphs
Venue: 2016 IEEE 55th Conference on Decision and Control (CDC)

Distributed algorithms are the key to enabling effective large scale distributed control systems, which present many challenges due to lack of access to global information. This paper studies the effects of quantized communication among agents for distributed averaging algorithms. The agents rely on peer to peer interactions to exchange and update their local agreement variables that converge to the average of initial values asymptotically. Our previous work had shown that, when the underlying communication graph is static with certain types of uniform quantization effects, an optimized distributed selection of algorithm parameters results in the convergence of the agreement variables to a small neighborhood around the actual average, independent of the network size. In this paper, we extend this result to time varying (dynamic) graphs. We first show, using an example, that the deviation from the desired average caused by quantized communication on time varying graphs can be arbitrarily large even when the graph is connected at every iteration. This is contrary to the case without quantized communication. We then present a large class of randomized time varying communication graphs for which the convergence to a small neighborhood around the average is guaranteed in the presence of quantized communication.
Combined analysis of coupled energy networks

Energy supply systems such as the electricity, natural gas, district heating and cooling networks are typically designed and operated independently of each other. The increasing use of technologies such as combined heat and power units, gas turbines, heat pumps and recently, power to gas systems are increasing the links between energy systems introducing technical and economic interactions. There is a significant interest from academics, industry and policy makers in different parts of the world to identify and realise the opportunities of integrating energy networks while avoiding any undesirable impacts. Analysis of the interdependencies between different energy systems requires powerful software models and analysis tools. However, there are no commercial tools available to date. The aim of this research is to develop a model for the combined steady state simulation and operation planning of integrated energy supply systems. As part of this thesis, three key components of the model were developed i.e. a) Optimal power dispatch of an integrated energy system: A real case study was used to demonstrate the economic benefits of considering the interactions between different energy systems in their design and operation planning. b) Simultaneous steady state analysis of coupled energy networks: An example of a coupled electricity, gas, district heating and district cooling network system was used to illustrate the formulation of equations and the iterative solution method. A case study was carried out to demonstrate the application of the method for integrated energy network analysis. c) Steady state analysis of gas networks with the distributed injection of alternative gases: A case study was carried out to demonstrate the impact of alternative gas injections on the pressure delivery and gas quality in the network.
Modelling, assessment and Sankey diagrams of integrated electricity heat gas networks in multi vector district energy systems

The widespread use of decentralised multi energy supply solutions such as gas fired Combined Heat and Power (CHP) heat pumps, gas boilers, and so forth is more and more increasing the linkages between electricity, heat and gas distribution networks. However, there is currently no model able to model the three networks in an integrated manner and with a suitable level of detail for operational purposes. A multi temporal simulation model, which has been implemented in a relevant MATLAB Excel VBA tool, is presented in this paper to carry out integrated analysis of electricity, heat and gas distribution networks, with specific applications to multi vector district energy systems. The network linkages have been modelled through a multi vector efficiency matrix specifically developed to map the transformation of final demands into network energy flows while taking into account the inter network locations of the individual supply technologies. The relevant coupled electrical, heat and gas flow equations have been solved simultaneously using a Newton Raphson approach. A real case study of a district multi energy system in the Campus of the University of Manchester illustrates the quantitative use of the model in different scenarios for technical, economic and environmental studies. Sankey diagrams of the energy flows across the networks are also presented to give a visual picture of the multi energy interactions and losses in the district in different scenarios. The model can be flexibly adapted to generic network topologies and multi energy supply technologies, and can thus be used for practical operational implementations as well as to inform planning of low carbon multi vector energy systems.