nils-herrmann/clean_scirepeval huggingface dataset:
Ultrasonic Sensor Based Smart Blind Stick
Venue: 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)
Year: 2018

This paper presents design and implementation of an ultrasonic sensor based walking stick for visually impaired person. An ultrasonic sensor module, HC SR04 is used for obstacle detection in the path of the blind person and a buzzer is used to make the person alert. The proposed system is implemented using PIC microcontroller 16F877A. Blind persons can use this walking stick for safe navigation. It can detect obstacle within 5 to 35 cm range of distance
The Impact of API Change and Fault Proneness on the User Ratings of Android Apps
Venue: IEEE Transactions on Software Engineering
Year: 2015

The mobile apps market is one of the fastest growing areas in the information technology. In digging their market share, developers must pay attention to building robust and reliable apps. In fact, users easily get frustrated by repeated failures, crashes, and other bugs; hence, they abandon some apps in favor of their competition. In this paper we investigate how the fault and change proneness of APIs used by Android apps relates to their success estimated as the average rating provided by the users to those apps. First, in a study conducted on 5,848 (free) apps, we analyzed how the ratings that an app had received correlated with the fault and change proneness of the APIs such app relied upon. After that, we surveyed 45 professional Android developers to assess (i) to what extent developers experienced problems when using APIs, and (ii) how much they felt these problems could be the cause for unfavorable user ratings. The results of our studies indicate that apps having high user ratings use APIs that are less fault and change prone than the APIs used by low rated apps. Also, most of the interviewed Android developers observed, in their development experience, a direct relationship between problems experienced with the adopted APIs and the users' ratings that their apps received.
HWNet v2: an efficient word image representation for handwritten documents
Venue: International Journal on Document Analysis and Recognition (IJDAR)
Year: 2019

We present a framework for learning an efficient holistic representation for handwritten word images. The proposed method uses a deep convolutional neural network with traditional classification loss. The major strengths of our work lie in: (i) the efficient usage of synthetic data to pre train a deep network, (ii) an adapted version of the ResNet 34 architecture with the region of interest pooling (referred to as HWNet v2) which learns discriminative features for variable sized word images, and (iii) a realistic augmentation of training data with multiple scales and distortions which mimics the natural process of handwriting. We further investigate the process of transfer learning to reduce the domain gap between synthetic and real domain and also analyze the invariances learned at different layers of the network using visualization techniques proposed in the literature. Our representation leads to a state of the art word spotting performance on standard handwritten datasets and historical manuscripts in different languages with minimal representation size. On the challenging iam dataset, our method is first to report an mAP of around 0.90 for word spotting with a representation size of just 32 dimensions. Furthermore, we also present results on printed document datasets in English and Indic scripts which validates the generic nature of the proposed framework for learning word image representation.
A Wavelet Tour of Signal Processing The Sparse Way, 3rd Edition
Year: 2008

Mallat's book is the undisputed reference in this field it is the only one that covers the essential material in such breadth and depth. Laurent Demanet, Stanford University The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super resolution and compressive sensing applications.  Balances presentation of the mathematics with applications to signal processing Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox Companion website for instructors and selected solutions and code available for students New in this edition Sparse signal representations in dictionaries Compressive sensing, super resolution and source separation Geometric image processing with curvelets and bandlets Wavelets for computer graphics with lifting on surfaces Time frequency audio processing and denoising Image compression with JPEG 2000 New and updated exercises A Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R&D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio sensing, medical imaging, machine vision and communications engineering. Stephane Mallat is Professor in Applied Mathematics at cole Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co founded and became CEO of an image processing semiconductor company.  A Numerical Tour of Signal Processing Includes all the latest developments since the book was published in 1999, including its application to JPEG 2000 and MPEG 4 Algorithms and numerical examples are implemented in Wavelab, a MATLAB toolbox Balances presentation of the mathematics with applications to signal processing
A Word Embedding Model for Topic Recommendation
Venue: 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)
Year: 2018

The proposed work aims to recommend relevant hash tags from social media posts and blog posts related to food, recipes and other popular domains using topic word embeddings. These hash tags can be used in turn to give food item/recipe as the user requires. For topic modeling a machine learning approach called LDA(Latent Dirichlet Allocation) is used. The method treats the social media posts as a corpus of words and applies a topic modeling to generate the relevant hash tags. The hash tags recommended are cross validated with a word embedding model developed from the Wikipedia corpus to check the accuracy of the recommendation system. This algorithm is further tested on posts that do not contain hash tags to recommend new relevant hash tags for the same.
The Television Advertising Framework in Malaysia and The Salience of Ideals for Malay Muslims and Malaysians: A Framing Perspective for Nation Building
Year: 2018

Malaysia has the ambition to be a developed country by 2020. The goal of creating a cohesive, united, and ethical community is accentuated in the country's Eleventh Malaysia Plan that is part of the nation's endeavour in becoming a developed nation. There are several guidelines and codes issued by government organisations that regulate or encourage the self regulation of television advertisements in Malaysia. This study uses framing theory that, according to the literature, refers to the attributes selected on a particular issue that form a narrative making them more salient than others. Framing theory is often used in studies on news stories. This study took on a different stance as it examined the television advertising regulatory framework in Malaysia instead of news stories. There is a research gap with the dearth of previous studies on regulations, culture, religion and framing. The study was with the aim of identifying frames that represent Malaysian and Malay Muslim values. It is a significant study as it contributes to current literature, uncovers how the government guides television advertising for the diverse Malaysian audience and provides a better understanding of the framework in relation to nation building in Malaysia. Five frames were generated from the framework examined and evidence was gathered from the Qur'an and Sunnah. The study finds that the frames generated represent the balance between the moral and material dimensions of life underscoring the concept of wasatiyyah that defines the moderate lifestyle in Islam.  Framing, nation building, television advertisements, television advertising framework, wasatiyyah.
A New Process of Extracting Titanium from Vanadium Titanium Magnetite
Year: 2021

A new process of extracting titanium from vanadium titanium magnetite (VTM) in the Panxi area in Sichuan, China is introduced in this work. Various experiments, including reduction magnetic separation, leaching and hydrolyzing experiments, are carried out. The results show that the optimum conditions for leaching experiments are an acid/slag ratio of 4:1, a leaching temperature of 60 degC, a leaching time of 80 min, and a liquid/solid ratio of 3.2:1. The leaching rate of titanium in Ti bearing slag is 92.41% The optimum conditions for hydrolyzing experiments are an H+ concentration of 0.75 g*L 1, hydrolyzing temperature of 100 degC, and hydrolyzing time of 180 min, and the hydrolyzing rate of titanium in acid leaching liquor is 96.80% After the leaching and hydrolyzing experiments, the recovery rate of titanium from the Ti bearing slag is 89.45%
A patient with Muenke syndrome manifesting migrating neonatal seizures
Venue: Brain and Development
Year: 2017

We report a patient with Muenke syndrome who had repetitive apneic spell followed by focal status epilepticus in the early infancy. Ictal EEG showed focal spikes bursts originated from the left hemisphere and sifted to the right hemisphere, during which he had migrating tonic seizures from right side of the body to the left side of the body. Brain MRI showed abnormal development of bilateral hippocampus, which was characterized as abnormal folding of hippocampal gyri. However, the long term seizure prognosis was favorable. Results from this and previous studies failed to support the notion that FGFR3 (P250) mutation results in epileptic encephalopathy.
An Examination of the Relationship between Absorptive Capacity and Organizational Learning, and a Proposed Integration
Year: 2008

Since its inception, the concept of absorptive capacity has been closely linked with notions of organizational learning. Yet the precise nature of the relationship between these two concepts has never been established. This relationship is examined in a variety of ways, and it is suggested that the literature on these two concepts shares a conceptual affinity which needs to be delineated. It is suggested that absorptive capacity (a dynamic capability) is a concrete example of organizational learning that concerns an organization's relationship with new external knowledge. Using the 4I Model for organizational learning (Crossan, M.M. Lane, H.W. and White, R.E. (1999) An organizational learning framework: from intuition to institution. Academy of Management Review, 24, 522 537) and Zahra and George's conceptualization of absorptive capacity (Zahra, S.A. and George, G. (2002) Absorptive capacity: a review, reconceptualization, and extension. Academy of Management Review, 27, 185 203) this paper proposes an integration of the two concepts.
Hindsight Experience Replay with Kronecker Product Approximate Curvature
Venue: ArXiv
Year: 2020

Hindsight Experience Replay (HER) is one of the efficient algorithm to solve Reinforcement Learning tasks related to sparse rewarded environments.But due to its reduced sample efficiency and slower convergence HER fails to perform effectively. Natural gradients solves these challenges by converging the model parameters better. It avoids taking bad actions that collapse the training performance. However updating parameters in neural networks requires expensive computation and thus increase in training time. Our proposed method solves the above mentioned challenges with better sample efficiency and faster convergence with increased success rate. A common failure mode for DDPG is that the learned Q function begins to dramatically overestimate Q values, which then leads to the policy breaking, because it exploits the errors in the Q function. We solve this issue by including Twin Delayed Deep Deterministic Policy Gradients(TD3) in HER. TD3 learns two Q functions instead of one and it adds noise tothe target action, to make it harder for the policy to exploit Q function errors. The experiments are done with the help of  Mujoco environments. Results on these environments show that our algorithm (TDHER+KFAC) performs better inmost of the scenarios
An open loop stepper motor driver based on FPGA
Venue: 2007 International Conference on Control, Automation and Systems
Year: 2007

In motion control systems, stepper motors are widely used and the stepper motor driver is mainly implemented using a DSP (digital signal processor) Using the DSP allows the control algorithm to be easily applied. Both coding and debugging processes can be rapidly performed. The DSP based driver's exhibit good performance; they are reliable, precise, and responsive. However, when mass production is needed, FPGA (field programmable gate array) based drivers are preferred since the FPGA based design is compatible with conversation to an ASIC (application specific integrated circuit) Previous studies proposed FPGA based drivers but the quality is still limited because of the difficulty of handling complex computations in the FPGA. Nowadays, with the improvement of FPGA techniques, it is possible to perform various computations in the FPGA so it can be used instead of the DSP in motor driver design. This paper presents an open loop driver based on the FPGA. This driver can perform stable, precise control and is responsive. The experimental results verify the performance of the control driver algorithm.
Future competencies for hospital management in developing countries: Systematic review
Venue: Medical journal of the Islamic Republic of Iran
Year: 2020

This was a systematic review presenting the future competencies for hospital managers.  Participants, interventions, comparisons and outcomes (PICO) strategy with MeSH terms were used for searching. Databases used were Web of Science, PsycINFO and Medline, EBSCO, ScienceDirect, Emerald, ProQuest, Social Sciences Research Network, Embase, and some Iranian database such as IRANDOC and SID. All publications were accepted if they had been published in English or Persian language and fulltexts were accessible. The study was carried out using a systematic literature search published between January 1995 and December 2018. The Endnote v.17 software was used to facilitate reference management. Quality assessment of publications were carried out independently by two reviewers using the Critical Appraisal Skills Programme (CASP) and the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) checklist. A descriptive summary with data tables produced to summarize the literature. Data extraction was conducted by two researchers.  Forty seven studies were analyzed to identify the future competencies required for hospital managers. In all, 3190 publications were retrieved. 1934 citations were excluded because of irrelevant (n=2600) duplicates (n=316) and unavailable full text (n=18) After studying the 256 remaining publications, 33 citations were extracted and presented. After extracting the future competencies of hospital managers, competencies were classified into four main categories based on the qualitative meta synthesis process.  The most important competencies in the future are global knowledge,
Efficient induction of cell mediated immunity to varicella zoster virus glycoprotein E co lyophilized with a cationic liposome based adjuvant in mice.
Venue: Vaccine
Year: 2019

Varicella zoster virus (VZV) is a neurotropic and lymphotropic alpha herpesvirus that causes varicella and herpes zoster (HZ) At a primary infection, VZV causes varicella in young children. Reactivation of latent VZV in sensory ganglia causes painful HZ in elderly people, occasionally leading to a serious complication, postherpetic neuralgia (PHN) A live attenuated VZV vaccine, the first vaccine licensed for the prevention of HZ and PHN is not very effective, while a recombinant subunit vaccine provides higher and longer protection against HZ. In the present study, we developed a new adjuvant system CIA09A, which is composed of cationic liposomes, the Toll like receptor 4 (TLR4) agonist de O acylated lipooligosaccharide, and Quillaja saponin fraction QS 21. We then determined its adjuvant activity for recombinant VZV glycoprotein E (gE) in mice. Co lyophilization of the liposomal adjuvant formulation with gE did not abolish the immune stimulating activity. In fact, the CIA09A adjuvanted gE vaccine was highly effective in eliciting both humoral and cellular immune responses to the recombinant gE protein and VZV in a VZV primed mouse model. Furthermore, the frequency of gE specific polyfunctional CD4+ T cells expressing interferon (IFN) g, tumor necrosis factor (TNF) a, and interleukin (IL) 2 was significantly increased in mice immunized with the adjuvanted vaccine. These data indicate that co lyophilization of protein antigens with CIA09A enables development of a liposome adjuvanted vaccine in a single vial to induce strong cell mediated immunity required for vaccine efficacy. Thus, the CIA09A adjuvanted gE vaccine warrants further development as a new prophylactic vaccine against HZ.
"Axial" Magnetic Levitation Using Ring Magnets Enables Simple Density Based Analysis, Separation, and Manipulation.
Venue: Analytical chemistry
Year: 2018

This work describes the development of magnetic levitation (MagLev) using ring magnets and a configuration (which we call "axial MagLev" to remove the physical barriers to physical sampling in the magnetic field present in "standard MagLev" and to simplify the procedures used to carry out density based analyses, separations, and manipulations. The optimized, linear magnetic field generated between the two ring magnets (coaxially aligned and like poles facing) enables the levitation of diamagnetic (and weakly paramagnetic, e.g. aluminum) materials in a paramagnetic suspending medium and makes density measurements more straightforward. This "axial" configuration enables (i) simple procedures to add samples and paramagnetic medium from an open end and to retrieve samples while levitating in the magnetic field (e.g. a subpopulation of a cluster of small particles) (ii) simple accesses and the abilities to view the samples 360deg around the sample container and from the top and bottom; and (iii) convenient density measurements of small quantities (as small as a single submillimeter particle as demonstrated) of samples. The compact design, portability, affordability, and simplicity in use of the "axial MagLev" device will broaden the uses of magnetic methods in analyzing, separating, and manipulating different types of samples (solids, liquids, powders, pastes, gels, and also biological entities) in areas such as materials sciences, chemistry, and biochemistry.
Promising Tropical Fruits High in Folates
Venue: Foods
Year: 2019

As the popularity of tropical fruits has been increasing consistently during the last few decades, nutritional and health related data about these fruits have been gaining more and more interest. Therefore, we analyzed 35 samples of tropical fruits and vegetables with respect to folate content and vitamer distribution in this study. The fruits and vegetables were selected by their availability in German supermarkets and were grouped according to their plant family. All fruits and vegetables were lyophilized and analyzed by stable isotope dilution assay (SIDA) and liquid chromatography mass spectrometry (LC MS/MS) The results vary from 7.82 0.17 ug/100 g in the horned melon to 271 3.64 ug/100 g in the yellow passion fruit. The yellow passion fruit is a good source for meeting the recommended requirements, as just 110 g are needed to cover the recommended daily intake of 300 ug folate for adults; however, longan fruits, okras, pete beans, papayas, mangos, jack fruits, and feijoas are also good sources of folates. In conclusion, the study gives a good overview of the total folate content in a broad range of tropical fruits and vegetables and shows that some of these fruits definitely have the potential to improve the supply of this critical vitamin.
Entwining structure into web search
Venue: DBRank '13
Year: 2013

Keyword based retrieval has dominated web search with its simplicity and effectiveness. However, given the abundance of structured and semi structured data, there is an opportunity for an improved user experience. In this paper, we present an overview of our past work on analyzing keyword queries and extracting latent structured semantics, mapping them to corresponding data sources and enriching the user experience with the inclusion of structured content.
The nitrogen footprint of food products in the European Union
Venue: The Journal of Agricultural Science
Year: 2013

Nitrogen (N) is an essential element for plants and animals. Due to large inputs of mineral fertilizer, crop yields and livestock production in Europe have increased markedly over the last century, but as a consequence losses of reactive N to air, soil and water have intensified as well. Two different models (CAPRI and MITERRA) were used to quantify the N flows in agriculture in the European Union (EU27) at country level and for EU27 agriculture as a whole, differentiated into 12 main food categories. The results showed that the N footprint, defined as the total N losses to the environment per unit of product, varies widely between different food categories, with substantially higher values for livestock products and the highest values for beef (c. 500 g N/kg beef) as compared to vegetable products. The lowest N footprint of c. 2 g N/kg product was calculated for sugar beet, fruits and vegetables, and potatoes. The losses of reactive N were dominated by N leaching and run off, and ammonia volatilization, with 0*83 and 0*88 due to consumption of livestock products. The N investment factors, defined as the quantity of new reactive N required to produce one unit of N in the product varied between 1*2 kg N/kg N in product for pulses to 15 20 kg N for beef.
Pengaruh keputusan investasi, keputusan pendanaan, dan kebijakan dividen terhadap nilai perusahaan yang terdaftar di Bursa Efek Indonesia
Venue: Jurnal Kajian Manajemen Bisnis
Year: 2019

This study aims to analyze the effect of investment decisions, funding decisions, and dividend policy on the value of the company. This research is classified as causative research. The populations in this study are all Manufacturing companies listed on the Stock Exchange in 2012 2016. The sampling technique in this study is using purposive sampling technique with a total sample of 213 samples. The data used is secondary data. The data analysis method used is multiple regression. The results showed that investment decision variables affect the value of the company in a positive direction, funding decisions affect the value of the company in a negative direction, and dividend policy affects the value of the company with a positive direction on Manufacturing companies listed on the IDX. With this research, it is expected that researchers who can further conduct research related to factors that influence the value of the company whose impact is higher than what researchers have met. By using different proxy and data processing methods to produce more accurate data processingKeywords: Investment decisions; funding decisions; dividend policy; company