nils-herrmann/clean_scirepeval huggingface dataset:
Micellisation Mechanism and Behaviour of Soluplus(r) Furosemide Micelles: Preformulation Studies of an Oral Nanocarrier Based System
Venue: Pharmaceuticals
Year: 2019

In this study, self assembling Soluplus(r) micelles were examined for inherent properties. Through calorimetric analysis, the critical micelle concentration (CMC) could be determined at 25 and 37 degC, and the influence of three media (Milli Q water, phosphate buffered saline (PBS) with a pH of 7.4 and 0.1 M HCl) on the lower critical solution temperature (LCST) was detected. Furthermore, the solubilisation of a poorly soluble drug, furosemide, into the Soluplus(r) micelles was studied. The concentration dependent properties of the micellar system were assessed through an examination of the micellar size, polydispersity, morphology, viscosity and solubilising properties, which were all found to be affected by the concentration, but temperature, pH and the composition of the test medium were also found to have an effect. Homogeneity in the estimated micellar size and morphology was shown for monophasic micelle dispersions in lower concentrations and with a shift towards more complex structures or aggregates in higher concentrations. The micelles were further investigated in terms of drug release and biocompatibility with mucus producing HT29 MTX cells, where no biocompatibility issues were found. In this research, the implications for oral drug delivery are discussed and valuable preformulation information is provided on the micellar properties of a Soluplus(r) drug system in a liquid or semi solid form.
Predicting Stock Price Returns Using Microblog Sentiment for Chinese Stock Market
Venue: 2017 3rd International Conference on Big Data Computing and Communications (BIGCOM)
Year: 2017

Recently there have been many efforts to study the predictability of stock market trend using post sentiments on social media sites. These studies have mainly focused on US stock market. In this paper we investigate the relationship between stock price movement and social media sentiment in China, which has a large stock capitalization and a unique social media landscape. We collect data from several different types of social media sites (microblogs, chat rooms, web forums) and find that data from these sites exhibit distinct characteristics in activity level, post length, and correlation with stock market behavior. Users in stock market related chat rooms tend to post more but much shorter blogs. The activity level is much more highly correlated with market trading hours and stock trading volumes. We then investigated several machine learning models to classify post sentiment in chat rooms, and achieved a performance similar to the state of the art sentiment analysis result for short posts. We find that there is strong correlation and Granger causality between chat room post sentiment and stock price movement, indicating that post sentiments can be used to improve the prediction of stock price return over using the historic stock trading information alone. We further propose a prediction model that uses chat room sentiment to forecast the market direction, and develop a trading strategy that utilizes the prediction as trading indicators. Backtest using our strategy achieves promising portfolio returns. A total return of 19.54% is obtained at the end of the seven month period when taking into account of slippage and commissions, compared to a loss of 25.26% by a passive buy and hold baseline strategy.
Fast intra mode decision and fast CU size decision for depth video coding in 3D HEVC
Venue: Signal Process. Image Commun.
Year: 2019

In addition to several new coding tools that are designed for texture video with improved coding efficiency, some tools are specified for depth video, such as depth modeling modes (DMMs) segment wise DC (SDC) mode and depth intra skip mode. This paper proposes techniques that accelerate the encoding of depth video, including a fast intra mode decision and a fast CU size decision. A hierarchical mode decision is proposed for the fast intra mode decision, based on a statistical analysis of mode distribution. The intra mode can be predicted at a very early stage if the hierarchical comparison of the rate distortion (R D) cost for selected candidate modes is satisfied for a given condition. For the fast CU size decision, smaller CU sizes are not evaluated if the current CU has the desired properties. The CU size of the collocated texture is also considered to avoid over splitting of the current depth CU. The experimental results show that the proposed techniques achieve an average 62.5% time saving with 0.81% increase in the bitrate for the synthesized views under the all intra configuration, compared with the reference software HTM 15.0.
Human Activity Language: Grounding Concepts with a Linguistic Framework
Venue: SAMT
Year: 2006

We have empirically discovered that the space of human actions has a linguistic framework. This is a sensory motor space consisting of the evolution of the joint angles of the human body in movement. The space of human activity has its own phonemes, morphemes, and sentences. This has implications for conceptual grounding. We present a Human Activity Language (HAL) for symbolic non arbitrary representation of visual and motor information. In phonology, we define atomic segments (kinetemes) that are used to compose human activity. We introduce the concept of a kinetological system and propose five basic properties for such a system: compactness, view invariance, reproducibility, selectivity, and reconstructivity. In morphology, we extend sequential language learning to incorporate associative learning with our parallel learning approach. Parallel learning solves the problem of overgeneralization and is effective in identifying the kinetemes and active joints in a particular action. In syntax, we suggest four lexical categories for our Human Activity Language (noun, verb, adjective, and adverb) These categories are combined into sentences through syntax for human movement.
Renewable, non renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic Co operation and development countries
Year: 2020

The purpose of this study is to examine the validity of Environmental Kuznets Curve hypothesis for ecological footprint with the role of renewable energy use, non renewable energy use and trade openness in 24 Organisation for Economic Co operation and Development countries. For this purpose, we investigate the period from 1980 to 2014 using with second generation panel data methodologies which allow to cross sectional dependence among countries. The group mean results show that the inverted U shaped Environmental Kuznets Curve hypothesis does not hold in Organisation for Economic Co operation and Development countries because we found the U shaped relationship between economic growth and ecological footprint. In addition, it is concluded that increasing renewable energy consumption reduces ecological footprint and increasing non renewable energy consumption increases environmental degradation.
Implications of Blockchain Technology on Marketing
Year: 2018

Trust issue gradually becomes more of a concern in the 21st century business environment. Recent research sheds light on the erosion of trust to brands on a global basis. Traditionally, trusted third parties take place to ensure the trust needed for business transactions to take place. Digitization, advances in peer to peer networks and cryptographic technologies have advanced to such a point that exchange of currency, as in the case of Bitcoin, and even value as in the case of property rights, securities, ownership etc. can be done over Internet with Blockchain technology serving as a trust layer baked into the protocol. Blockchain technology serves as the missing trust layer in the evolution of Internet. This paper explores implications of Blockchain technology on marketing discipline from various aspects. The paper pinpoints the key strategies marketers need to adopt to survive in the rapidly evolving business landscape. Finally, conclusions are drawn regarding future direction of marketing as affected by those technological advances.
Tackling TAMs for Cancer Immunotherapy: It's Nano Time.
Venue: Trends in pharmacological sciences
Year: 2020

The tumor microenvironment (TME) is a highly complex environment that surrounds tumors. Interactions between cancer cells/non cancerous cells and cells/non cell components in the TME support tumor initiation, development, and metastasis. Of the cell types in the TME, tumor associated macrophages (TAMs) have gained attention owing to their crucial roles in supporting tumors and conferring therapy resistance. Recent developments in nanotechnology raise opportunities for the application of nano targeted drug delivery systems (Nano TDDS) in cancer therapy. We focus our discussion on current knowledge of TAMs, and describe recent examples of Nano TDDS based TAM modulation, highlighting strategies to overcome in vivo delivery barriers associated with the TME and their potential for clinical translation.
Short Paper: Analyzing Metadata Schemas for Buildings: The Good, the Bad, and the Ugly
Venue: BuildSys@SenSys
Year: 2015

Commercial buildings account for a large amount of delivered energy in the U.S. nearly 42% of which is consumed in buildings with digital control systems {EIA} These buildings are a ripe venue to deploy novel applications because of (a) access to sensors and actuators that are used in their digital control systems, (b) deployed wireless sensor networks, and (c) the advent of smart "internet of things" sensors. However, these novel applications face a fundamental scalability challenge because the sensor metadata across buildings do not follow any common schema. In this paper, we quantify the shortcomings of three metadata schemas which have gained traction in modeling the contextual, spatial and functional relationships between sensors in the built environment: (1) Project Haystack, (2) Industry Foundation Classes (3) and Semantic Sensor Web against three commercial buildings and an extensive list of smart building applications.
Additive manufacturing ceramic turbine components due to partial transient liquid phase bonding using a metal binder
Year: 2014

Ceramic turbine components, are formed by a process comprising mixing a ceramic powder and metal binder powder mixture. The powder mixture is then formed on the turbine components, and is subsequently densified by partial transient liquid phase sintering. In some embodiments, the turbine components may be formed by additive manufacturing processes such as selective laser sintering.
Statistical Methods for Construction Delay Analysis
Year: 2013

The occurrence of delay is common in most construction projects, due to various reasons and causes before or during construction phase. As the delay impact on time and cost overrun, analyzing of these delay(s) makes easy to give responsibility to concern party. This helps to avoid or minimize delays in future work. Numerous analytical methods are available for analyzing these impacts and selection of proper method depends upon: statistical data available, time available, limitation of method and money available for analyzing. However, information of activities which are responsible for project delay and their magnitude provides the baseline for investing the cause and assessing the responsibility for project delay. This paper reviews research methodology suggested for assessing construction delay factors by analytical methods as well as with the help of computerized schedule analysis methods. The purpose of this study is to review various analytical computerized schedule analysis methods for analysis of construction delay factor.
Framing Analysis of Edy Rahmayadi's News on MedanBisnisdaily.com
Year: 2018

Mass media has an important role in imaging. Whether we realize it or not, the image is the result of mass media construction. The mass media can lift someone so that they become famous and supported by the community but can also bring down the person to become the most hated figure. The media constructs reality through certain points of view which are then framed or framed. In this study, the framing analysis of the Gamson and Modigliani models was used to find out how the reality or image of Edy Rahmayadi was constructed or framed by MedanBisnisdaily.com. According to Gamson, framing is a way of telling stories or clusters of organized ideas in such a way and presenting the construction of the meaning of events related to the object of a discourse. This type of research is qualitative with a constructivism paradigm. From this research, Medanbisnisdaily.com describes the image of Edy Rahmayadi as a firm, but controversial and seemingly arrogant person.
Smart steel bridge construction enabled by BIM and Internet of Things in industry 4.0: A framework
Venue: 2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC)
Year: 2018

To deal with the uncontrollability and inefficiency problem of construction progress, quality, and cost in traditional steel bridge construction projects, this paper discusses smart steel bridge construction enabled by Building Information Modeling (BIM) and Internet of Things (IoT) The framework of smart steel bridge construction is firstly proposed. The research directions and roadmap are further pointed out. The core idea of smart steel bridge construction is to apply data driven methods and model based analytics to realize real time collaborative management and closed loop control of steel bridge lifecycle activities. It is expected that this paper will position the BIM and IoT enabled steel bridge construction mode in the context of industry 4.0.
Open Access proceedings Journal of Physics: Conference series
Year: 2020

How people would like to interact with surrounding environment will subsequently influence indoor thermal conditions and further impact building energy performance. In order to understand occupants' adaptive behaviours in terms of environmental control utilization from the point of view of quantification, an investigation on windows operation was carried out in non air conditioned educational buildings in the UK during summer time considering the effects of occupant type (active and passive) and the time of a day. Outdoor air temperature was a better predictor or window operation than indoor air temperature. Window operation was found to be time evolving event. The purpose or criteria of adjusting window states were different at different occupancy stages. Active occupants were more willing to change windows states in response to outdoor air temperature variations. Sub models predicting transition probabilities of window state for different occupant type and occupancy stages were developed. The results derived from this field study are helpful with improving building simulation accuracy by integrating sub models into simulation software and further providing guideline on building energy reduction without sacrificing indoor thermal comfort.
ANALISIS MINAT BERTRANSAKSI MENGGUNAKAN FINANCIAL TECHNOLOGY (FINTECH) DI JAWA TENGAH
Year: 2020

ABSTRAK Penelitian ini bertujuan untuk menganalisis persepsi manfaat, persepsi kemudahan penggunaan, kepercayaan, dan persepsi risiko terhadap minat bertransaksi menggunakan financial technology (fintech) di Jawa Tengah. Populasi yang digunakan dalam penelitian ini adalah masyarakat Jawa Tengah yang memiliki akses terhadap internet dengan sampel yang diambil menggunakan metode convenience dan snowball sejumlah 100 orang Teknik analisis yang digunakan dalam penelitian ini adalah uji regresi linier berganda. Hasil analisis menunjukkan bahwa keempat variable bebas berpengaruh signifikan terhadap minat bertransaksi menggunakan fintech secara terpisah maupun secara simultan Kata kunci Fintech, Persepsi Kemudahan Penggunaan, Efektivitas, Kepercayaan, Risiko, Minat, Financial Technology.  This study was conducted to analyze the influence of perceived usefulness, perceived ease of use, trust, and perceived risk towards people's intention to use financial technology (fintech) in Central Java, Indonesia. The population was the residents who had access to the internet in Central Java. A hundred samples were drawned using convenience and snow ball sampling methods. Multiple linear regression was used to proof the hypothesis. The result showed that the four independent variables had significant influence on people's intention to use fintech. The influences were shown both for individual variable and silmutaniously.  Fintech, Perceived Ease of Use, Effectiveness, Trust, Risk, Interest, Financial Technology.
Female genital mutilation and migration in Mali: do return migrants transfer social norms?
Venue: Journal of Population Economics
Year: 2019

In this paper, we investigate the power of migration as a mechanism in the transmission of social norms, taking Mali and Female Genital Mutilation (FGM) as a case study. Mali has a strong FGM culture and a long standing history of migration. We use an original household level database coupled with census data to analyze the extent to which girls living in localities with high rates of return migrants are less prone to FGM. Malians migrate predominantly to other African countries where female circumcision is uncommon (e.g. Cote d'Ivoire) and to countries where FGM is totally banned (France and other developed countries) and where anti FGM information campaigns frequently target African migrants. Taking a two step instrumental variable approach to control for the endogeneity of migration and return decisions, we show that return migrants have a negative and significant influence on FGM practices. More precisely, we show that this result is primarily driven by the flow of returnees from Cote d'Ivoire. We also show that adults living in localities with return migrants are more informed about FGM and in favor of legislation. The impact of returnees may occur through several channels, including compositional effects, changes in return migrants' attitudes toward FGM, and return migrants convincing stayers to change their FGM practices.
Occulter to earth: prospects for studying earth like planets with the E ELT and a space based occulter
Venue: Experimental Astronomy
Year: 2021

Direct detection and characterization of Earth like planets around Sun like stars is a core task for evaluating the prevalence of habitability and life in the Universe. Here, we discuss a promising option for achieving this goal, which is based on placing an occulter in orbit and having it project its shadow onto the E ELT at the surface of Earth, thus providing a sufficient contrast for imaging and taking spectra of Earth like planets in the habitable zones of Sun like stars. Doing so at a sensible fuel budget will require tailored orbits, an occulter with a high area to mass ratio, and appropriate instrumentation at the E ELT. In this White Paper, submitted in response to the ESA Voyage 2050 Call, we outline the fundamental aspects of the concept, and the most important technical developments that will be required to develop a full mission.
The cortical organization of speech processing
Venue: Nature Reviews Neuroscience
Year: 2007

Despite decades of research, the functional neuroanatomy of speech processing has been difficult to characterize. A major impediment to progress may have been the failure to consider task effects when mapping speech related processing systems. We outline a dual stream model of speech processing that remedies this situation. In this model, a ventral stream processes speech signals for comprehension, and a dorsal stream maps acoustic speech signals to frontal lobe articulatory networks. The model assumes that the ventral stream is largely bilaterally organized although there are important computational differences between the left and right hemisphere systems and that the dorsal stream is strongly left hemisphere dominant.
APLICACION DE UN PROCESO CONTABLE EN LA EMPRESA OVAGRO DEL CANTON SALCEDO. ESTUDIO DE CASO
Year: 2018

La siguiente investigacion trata sobre la aplicacion de un proceso contable, mismo que se basa en la recopilacion de informacion real para la elaboracion de cada una de las fases del proceso contable, el cual sera utilizado como base fundamental para el propietario de la empresa OVAGRO para una mejor toma de decisiones y conocimiento de la situacion economica financiera de la organizacion. La empresa comercial OVAGRO esta constituida como persona natural obligada a llevar contabilidad, fue creada en el canton Salcedo, el 29 de Marzo del 2005, sus actividades en el mercado consiste en la venta al por mayor y menor de abonos. En el siguiente articulo se da a conocer los conceptos de las variables de estudio, sus dimensiones e indicadores tomados a partir del cuadro de operacionalizacion de variables que son muy importantes debido ya que permitio guiar la investigacion. En este trabajo se elaboro el ejercicio practico contable, donde se realizo en primer lugar un plan de cuentas de acuerdo con las necesidades de la empresa, se elaboro el estado de situacion inicial, y seguidamente se procedio a elaborar cada una de las fases del proceso contable; empezando por la recoleccion de documentos fuente, realizacion de un libro diario, mayorizacion, Balance de Comprobacion Ajustado y los respectivos Estados Financieros como son: Estado de Resultados y Balance de Situacion Financiera Final. Mediante este proceso se conocio la real situacion Economica Financiera de la empresa OVAGRO.
A benchmark and comparison of active learning for logistic regression
Venue: Pattern Recognit.
Year: 2018

Logistic regression is by far the most widely used classifier in real world applications. In this paper, we benchmark the state of the art active learning methods for logistic regression and discuss and illustrate their underlying characteristics. Experiments are carried out on three synthetic datasets and 44 real world datasets, providing insight into the behaviors of these active learning methods with respect to the area of the learning curve (which plots classification accuracy as a function of the number of queried examples) and their computational costs. Surprisingly, one of the earliest and simplest suggested active learning methods, i.e. uncertainty sampling, performs exceptionally well overall. Another remarkable finding is that random sampling, which is the rudimentary baseline to improve upon, is not overwhelmed by individual active learning techniques in many cases.