nils-herrmann/clean_scirepeval huggingface dataset:
What matters most for students in contexts of adversity a framework paper
Year: 2013

This document presents the conceptual background and operational tools of the World Banks Education Resilience Approaches (ERA) Program. It begins by grounding the program in its theoretical evidence base before discussing the guiding principles and tools for operation. The tools offer a systematic process to improve education system alignment to a resilience based approach and ensure relevant quality education services for learners affected by difficult contexts, especially conflict and violence. The annexes provide more detail on how the tools can help align education strategies, plans and services in the areas of access, learning quality, equity, capacity building and participation, amongst other education sector goals.
A Survey of Chatbot creation tools for non coder
Year: 2019

Chatbot is a natural language conversation which is considered a major revolution in customer service automation. Chatbot is an application of artificial intelligence that has a big role in saving time and effort by automating different aspect of human life. AI framework has several tools that help the non coder to develop the Chabot for the organization. The Chatbot becomes good solution for many organizations to communicate with their customers and to increase their productivity by serving the customers for 24x7. This will help the organization to achieve customer services with low cost. This paper give glimpses on different AI framework tools, a survey is conducted to facilitate the non coder to select the tools from the array of open source and proprietary tools. There are a lot of open source tools, each one has different features. Additionally, some of them are useful for coder and others do not require any coding experience also they are capable to be used in different devices with different operating systems. The flexibility that is within using tools to develop the Chatbot without coding knowledge and integrated in different platform is attractive concept for each one. Thereby this survey will help the non coder to develop the Chabot without undergoing to learn the programming aspect of developing the Chatbot
Comparison of Cloud Cover Detection Algorithms on Sentinel 2 Images of the Amazon Tropical Forest
Venue: Remote. Sens.
Year: 2020

Tropical forests regulate the global water and carbon cycles and also host most of the world's biodiversity. Despite their importance, they are hard to survey due to their location, extent, and particularly, their cloud coverage. Clouds hinder the spatial and radiometric correction of satellite imagery and also diminishing the useful area on each image, making it difficult to monitor land change. For this reason, our purpose is to identify the cloud detection algorithm best suited for the Amazon rainforest on Sentinel 2 images. To achieve this, we tested four cloud detection algorithms on Sentinel 2 images spread in five areas of the Amazonia. Using more than eight thousand validation points, we compared four cloud detection methods: Fmask 4, MAJA, Sen2Cor, and s2cloudless. Our results point out that FMask 4 has the best overall accuracy on images of the Amazon region (90% followed by Sen2Cor's (79% MAJA (69% and S2cloudless (52% We note the choice of method depends on the intended use. Since MAJA reduces the number of false positives by design, users that aim to improve the producer's accuracy should consider its use.
Polarization and Fake News: Early Warning of Potential Misinformation Targets
Venue: TWEB
Year: 2019

Users' polarization and confirmation bias play a key role in misinformation spreading on online social media. Our aim is to use this information to determine in advance potential targets for hoaxes and fake news. In this article, we introduce a framework for promptly identifying polarizing content on social media and, thus, "predicting" future fake news topics. We validate the performances of the proposed methodology on a massive Italian Facebook dataset, showing that we are able to identify topics that are susceptible to misinformation with 77% accuracy. Moreover, such information may be embedded as a new feature in an additional classifier able to recognize fake news with 91% accuracy. The novelty of our approach consists in taking into account a series of characteristics related to users' behavior on online social media such as Facebook, making a first, important step towards the mitigation of misinformation phenomena by supporting the identification of potential misinformation targets and thus the design of tailored counter narratives.
Real time status updating: Multiple sources
Venue: 2012 IEEE International Symposium on Information Theory Proceedings
Year: 2012

We examine multiple independent sources providing status updates to a monitor through a first come first served M/M/1 queue. We formulate a status age timeliness metric and find the region of feasible average status ages for a pair of updating sources. In the presence of interfering traffic with a given offered load, we show the existence of an optimal rate at which a source should generate its updates.
Reverse Image Search for the Fashion Industry Using Convolutional Neural Networks
Venue: 2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP)
Year: 2020

A.I. is becoming a hot topic in the rapidly developing digital world of today. Its applications are extensive and ever yet further growing as our understanding of it increases. Reverse image search is another interesting upcoming topic, of which its applications make our lives significantly easier in a number of business sectors and even in our day to day lives. Its implementation is when instead of text, pictures are used as search input, and similar images are returned as the result to help users of a system easier find what they are looking for. In this paper we trained our own Convolutional Neural Network(CNN) and designed an image search engine for use in the fashion industry.
Commercial integrated crop livestock systems achieve comparable crop yields to specialized production systems: A meta analysis
Venue: PloS one
Year: 2020

Production systems that feature temporal and spatial integration of crop and livestock enterprises, also known as integrated crop livestock systems (ICLS) have the potential to intensify production on cultivated lands and foster resilience to the effects of climate change without proportional increases in environmental impacts. Yet, crop production outcomes following livestock grazing across environments and management scenarios remain uncertain and a potential barrier to adoption, as producers worry about the effects of livestock activity on the agronomic quality of their land. To determine likely production outcomes across ICLS and to identify the most important moderating variables governing those outcomes, we performed a meta analysis of 66 studies comparing crop yields in ICLS to yields in unintegrated controls across 3 continents, 12 crops, and 4 livestock species. We found that annual cash crops in ICLS averaged similar yields 7% to +2% to crops in comparable unintegrated systems. The exception was dual purpose crops (crops managed simultaneously for grazing and grain production) which yielded 20% less on average than single purpose crops in the studies examined. When dual purpose cropping systems were excluded from the analysis, crops in ICLS yielded more than in unintegrated systems in loamy soils and achieved equal yields in most other settings, suggesting that areas of intermediate soil texture may represent a "sweet spot" for ICLS implementation. This meta analysis represents the first quantitative synthesis of the crop production outcomes of ICLS and demonstrates the need for further investigation into the conditions and management scenarios under which ICLS can be successfully implemented.
Policies on population, development and pollution of the Black Sea basin.
Year: 2010

The Black Sea is a closed basin which is connected to Aegean Sea through Bosporus and Dardanel Straits: The basin is encircled with six countries from which major rivers Danube, Dniester, Dnieper, Yesilirmak, Kizilirmak and Sakarya run through to the sea, which carry and discharge pollution from industrial, agricultural and domestic sources to Black Sea Basin that grows cumulatively. They discharge into virtually enclosed Black Sea on the wastes of a combined population of 165 m people in 17 countries. Sewage washes up on the beaches, spreading disease and making the shores unsafe for residents and tourists. Pesticides and fertilizers are often over applied and run into the rivers. The dimensions of pollution come from rivers in to Black Sea Basin, and impacts of that on human settlements and the environment in the basin and Integrated Coastal Zone Management (ICZM) and Strategic Action Plan are the main concern of this paper, which will be evaluated with the data available. 150 million ton solid matters carried by erosion in to Black Sea, 17% of that came from Turkey. 75% of land based pollution came from Danube, 20% from independent states of former Union of Soviet Socialist Republics and 5% came from rivers of Turkey and Bulgaria.  Black sea basin, river basin, pollution, hot point, heavy metal.
Parenting with Assistance The Views of Disabled Parents and Personal Assistants
Year: 2021

This qualitative study, based on semi structured interviews with eight parents with disabilities and five personal assistants, explores two different but interrelated perspectives: how parents with extensive physical disabilities use personal assistants in their parenting strategies and how personal assistants experience assisting in parenting strategies. The assistance users' parenting strategies are affected by gender, age of the children and whether the disabilities were congenital or acquired later in life. The assistants were seen as enablers, competitors for the child's love or compensators. Access to personal assistance has increased parents' possibilities to be active in their parenting. However, total adaptation to the assistance user's parenting strategies could be challenging for assistants with different parenting ideals. There is a need for discussions on how assistants can work to strengthen parenting roles as well as receive support to work in a sustainable way.
A Configurable Portable System for Ambulatory Monitoring of Gastric Bioelectrical Activity and Delivering Electrical Stimulation*
Venue: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2018

The purpose of this paper is to develop and validate a configurable system that can wirelessly acquire gastric electrical activity called slow waves, and deliver high energy electrical pulses to modulate its activity. The system is composed of a front end unit, and an external stationary backend unit that is connected to a computer. The front end unit contains a recording module with four channels, and a stimulating module with two channels. Commercial off theshelf components were used to develop front and back end units. A graphical user interface (GUI) was designed in LabVIEW to process and display the recorded data in realtime, and store the data for off line analysis. Besides, the gain of the analog conditioning circuit as well as the stimulation pulse configuration is programmable directly through the GUI. The system was successfully validated on bench top. The benchtop studies showed an appropriate frequency response for analog conditioning and digitization resolution to acquire gastric slow waves. Moreover, the system was able to deliver electrical pulses at amplitudes up to 24 mA and 12 mA to a load of up to 0.5 k \Omega and 1 \textbf{k}\Omega respectively. This study reports the first high energy stimulator that can be controlled wirelessly and integrated into a gastric bioelectrical activity monitoring system. The system can be used for treating functional gastrointestinal disorders.
Adaptive Tobit Kalman Based Tracking
Venue: 2018 14th International Conference on Signal Image Technology Internet Based Systems (SITIS)
Year: 2018

This paper presents an online, real time, multiobject tracking algorithm based on a novel method for data association. Tracking multiple objects in real world scenes includes several challenges, such as a) object detectors with low detection accuracy, b) false alarms, and c) unmatched tracked objects. In this paper, we propose a novel filtering method based on the theory of censored data by utilizing an Adaptive Tobit Kalman filter to estimate the object's position with high accuracy. Furthermore, in order to deal with false alarms and unmatched tracked objects, we use the nonmaximum suppression and a modified Hungarian algorithm, respectively. Experiments in public datasets show that the proposed method outperforms state of the art methods in multi object tracking with a substantial low computational cost compared to other methods in the area.
The Effect of School Counselors' Domain Specialization on Seniors' Milestone Completion and College Access Planning.
Year: 2013

The Effect of School Counselors' Domain Specialization on Seniors' Milestone Completion and College Access Planning Nancy J. Bond, M.S.E. Ed.D. University of Nebraska, 2013 Advisor: Dr. Peter J. Smith The purpose of this study was to determine the effect of senior high school counselors' domain specializations academic, advanced education, career, and personal/social from two urban high schools, on alphabetically assigned graduating seniors' with low, mid range, and high Grade Point Averages documented college and career readiness milestone completion rates. The review of literature revealed that a number of factors are impacting the successful outcomes of our students. The study of hope theory, with its focus on goal setting, developing aspirations and increasing hope as a means to drive motivation is critical. Additionally, the literature review highlights the importance of the development of a relationship between student and counselor and the impact this relationship has on achievement indicators. The importance of a plan and a planning system to maintain documentation of progress (the completion of identified milestones) is also found repeatedly in the literature to be critical. The literature also clearly delineates the positive impact school counseling programs have on the students they are designed to serve. The maximum accrual for this study is (N=360) and includes four groups of students from the 2012 graduating class who were assigned to counselors whose domain specializations include: academic, advanced education, career, and personal/social. All students participated in school counseling activities related to the completion of milestones and college access planning. The research questions utilized a chi square test of significance to compare observed verses expected congruent or different milestone completion frequencies for: (a) completed college or military applications; (b) completed ACT or COMPASS college entrance/placement exams; and (c) requested final transcript to be sent to post secondary institutions. Analysis of the data demonstrates no significance of domain specialization on the completion of college readiness milestones and college access planning. Additionally, grade point averages do not impact the college access planning of graduating seniors. This finding is likely attributable to self reported post secondary plans as well as the attributes of school counselors. All students are encouraged to complete milestones in preparation for college and career readiness. Implications for policy, practice, and further research are also provided.
Biological Pretreatment of Lignocellulosic Biomass for Biofuels and Bioproducts: An Overview
Year: 2019

Increasing energy demands are not only exploiting the fossil resources but, also depleting natural environment. Biofuels from lignocellulosic biomass is a renewable, ecofriendly, sustainable and could be a promising alternative to fossil fuels. However, pretreatment is an essential step to disarray the layers of lignocellulose prior to enzymatic hydrolysis. Among various pretreatments of lignocellulose, the biological pretreatment using microorganisms such as bacteria and fungi are gaining popularity due to its financial and environmental benefits. Careful selection of the suitable microbial consortium for efficient pretreatment of biomass is a critical step. The co culture of bacteria and/or fungi in consolidated bioprocessing (CBP) is highly beneficial in the breakdown of complex biopolymers due to their high enzyme activity. Our selection of highly promising bacterial and/or fungal consortium has the ability to produce various extracellular enzymes including cellulase, hemicellulase, and lignases. It can be used in CBP for efficient biological pretreatment of lignocellulosic biomass following production of biofuels and bioproducts.
"Propuesta de un plan de marketing para comercializacion de productos derivados del cacao elaborados en el Centro Nacional de Tecnologia Agropecuaria y Forestal (CENTA) en el circuito ruta de Las Flores, El Salvador"
Year: 2017

En la actualidad los productos derivados de cacao poseen una alta demanda en el mercado y cuentan con un alto indice de produccion y comercializacion y como consecuencia se estan convirtiendo en una fuente de ingreso para muchas familias es por ello que es necesario una comercializacion redituable y con estimaciones de crecimiento a largo plazo.
Millennials Green Consumption Behavior and Its Linkage to Firms Marketing Competitiveness: Findings From Select Study in Uttarakhand
Year: 2020

The pursuit of economic growth has led to severe damage to the environment. Over exploitation of natural resources has had a significantly negative impact on the environment. Awareness of the destruction of natural resources resulting from human activities has raised the issue of environmental protection and environmental consciousness. The growing consciousness towards an environmental breakdown and climate change has necessitated the need for green consumption and the sustainability of resources. The adoption of green consumerism will not only address environmental and ecological issues but will also help firms to improve their performance and productivity by efficiently using resources and cutting down wastage. Therefore, the current study aims to explore the factors that shape the purchase intention of millennials in India. The four antecedents namely: subjective norm, perceived behavioral control, perceived value and attitude have been taken as an endogenous variable in the study. The structural equation modeling (SEM) has been used to test the proposed hypothesis in the study. The data were collected using systematic random sampling and a total of 500 respondents were approached to obtain the desired information. All hypotheses were found to be significant except for perceived behavioral control. The findings of the study will enrich marketers' understanding of young consumers' intent to buy green products. These findings may further provide insights to managers and policymakers to enhance the performance of firms.
Environmental Management Resources and firm Value: Empirical evidence from Japanese listed manufacturing firms (Japanese)
Year: 2017

This paper examines whether environmental related investment increases firm value by using the firm level panel data of the Survey of Research and Development, Development Bank of Japan Kigyo Zaimu Data Bank, and CSR Kigyo Soran. In the standard theory of the firm, environmental related investment does not increase firms' profits, but in recent research, it is shown that it could increase firm value in view of the benefits enjoyed by various stakeholders. Regarding the accumulation of investments as a valuable management resource, this paper considers the influence of environmental related investment accumulation on firm value. We test the relationship between research and development investment for environmental technology and investments for environmental protection and Tobin's q, return on assets (ROA) and return on equity (ROE) The estimation results show that environmental related investment increases firm value, and leads to accumulation of useful management resources. In addition, our results indicate that the combination of environmental related investment and active advertisement raises firm value.
Basilio Martin Patino, Desde lo mas hondo: una reflexion sobre tecnologia y flamenco
Year: 2016

Incluidos dentro de la serie Andalucia, un siglo de fascinacion, dirigida por Basilio Martin Patino y emitidos por Canal Sur Television, encontramos dos capitulos dedicados al flamenco en los que haciendo uso del genero del falso documental el director presenta en el primero de ellos la posibilidad de recuperar una de las voces miticas del flamenco del siglo XIX, la de Silverio Franconetti, gracias al hallazgo de una plancha de estano, mientras que en el segundo trata de la creacion en el Japon de un museo dedicado al flamenco a partir de la plancha de estano del episodio anterior.En el presente articulo mostramos como la construccion filmica de Martin Patino entraria de lleno en aspectos fundamentales tratados por las investigaciones sobre el flamenco. En primer lugar, el de los origenes miticos del flamenco que, tal vez, quedarian aclarados con la grabacion "encontrada" de Silverio, planteandose incluso la posibilidad de sintetizar esta voz para crear flamenco por medios artificiales. Y en segundo lugar, la creacion de un espacio museistico en un lugar tan lejano como Japon cuyo soporte basico seria uno de los marcadores culturales propios de Andalucia.
Question answering via web extracted tables
Venue: aiDM@SIGMOD
Year: 2019

Question answering (QA) provides answers to a wide range of questions but is still limited in the complexity of reasoning and the breadth of accessible data sources. In this paper, we describe a dataset and baseline results for a question answering system that utilizes web tables. The dataset is derived from commonly asked questions on the web, and their corresponding answers found in tables on websites. Our dataset is novel in that every question is paired with a table of a different signature, so learning must automatically generalize across domains. Each QA training instance comprises a table, a natural language question, and a corresponding structured SQL query. We build our model by dividing question answering into a sequence of tasks, including table retrieval and question element classification, and conduct experiments to measure the performance of each task. In a traditional machine learning design manner, we extract various features specific to each task, apply a neural model, and then compose a full pipeline which constructs the SQL query from its parts. Our work provides quantitative results and error analysis for each task, and identifies in detail the reasoning required to generate SQL expressions from natural language questions. This analysis of reasoning informs future models based on neural machine learning.