nils-herrmann/clean_scirepeval huggingface dataset:
Multiracial Americans and Social Class The Influence of Social Class on Racial Identity
Year: 2010

Part 1: Who are Multiracial Americans? 1. Multiracial Americans and Social Class, Kathleen Odell Korgen 2. In Between Racial Status, Mobility and Promise of Assimilation: Irish, Italians Yesterday, Latinos and Asians Today, Charles Gallagher 3. 'What's Class Got to Do with It? Images and Discourses on Race and Class in Interracial Relationships, Erica Chito Childs 4.  Stability and Change in Racial Identities of Multiracial Adolescents, Ruth Burke and Grace Kao Part 2: Culture, Class, Racial Identity, and Blame 6. Country Clubs and Hip  Examining the Role of Social Class and Culture in Shaping Racial Identity, Nikki Khanna 7. Language, Power, and the Performance of Race and Class, Benjamin Bailey 8. Black and White Movies: Crash between Class and Biracial Identity Portrayals of Black/White Biracial Individuals in Movies, Alicia Edison and George Yancey 9. 'Who is Really to Blame? Biracial Perspectives on Inequality in America, Monique E. Marsh Part 3: Social Class, Demographic, and Cultural Characteristics 10. 'Multiracial Asian Americans' C. N. Le 11. A Group in Flux: Multiracial American Indians and the Social Construction of Race, Carolyn Liebler 12. Socioeconomic Status and Hispanic Identification in Part Hispanic Multiracial Adolescents, Maria L. Castilla and Melissa R. Herman Part 4: Social Class, Racial Identities, and Racial Hierarchies 13. Social Class and Multiracial Groups: What Can We Learn from Large Surveys? Mary E. Campbell 14. The One Drop Rule through a Multiracial Lens: Examining the Roles of Race and Class in Racial Classification of Children of Partially Black Parents, Jenifer Bratter 15. It's Not That Simple: Multiraciality, Models, and Social Hierarchy, Ingrid Dineen Wimberly and Paul Spickard
Life cycle energy minimization of autonomous buildings
Year: 2020

This work aims at investigating the existence of an optimal solution from the life cycle energy point of view of an autonomous building. The life cycle energy demand of a building can be divided into three parts: the operational energy, the embodied energy and the end of life one. The introduction of renewable energy resources generally causes a shift of the energy demand from the operational phase to the embodied and end of life ones. The study aims at demonstrating that, in autonomous buildings, the relationship between total life cycle energy demand and operational energy demand is characterized by an optimal level that minimizes the overall life cycle energy demand of the construction. An autonomous building, representative of the Italian context, was chosen as a case study and, analysing different design configurations, it was observed that the low energy design solution performed better than the net zero energy building from a life cycle energy perspective.
A Physiological Control System for an Implantable Heart Pump That Accommodates for Interpatient and Intrapatient Variations
Venue: IEEE Transactions on Biomedical Engineering
Year: 2020

Left ventricular assist devices (LVADs) can provide mechanical support for a failing heart as a bridge to transplant and destination therapy. Physiological control systems for LVADs should be designed to respond to changes in hemodynamic across a variety of clinical scenarios and patients by automatically adjusting the heart pump speed. In this study, a novel adaptive physiological control system for an implantable heart pump was developed to respond to interpatient and intrapatient variations to maintain the left ventricle end diastolic pressure (LVEDP) in the normal range of 3 to 15 mmHg to prevent ventricle suction and pulmonary congestion. A new algorithm was also developed to detect LVEDP from pressure sensor measurement in real time mode. Model free adaptive control (MFAC) was employed to control the pump speed via simulation of 100 different patient conditions in each of six different patient scenarios, and compared to standard PID control. Controller performance was tracked using the sum of the absolute error (SAE) between the desired and measured LVEDP. The lower SAE on control tracking performance means that the measured LVEDP follows the desired LVEDP faster and with less amplitude oscillations, preventing ventricle suction and pulmonary congestion (mean and standard deviation of SAE (mmHg) for all 600 simulations were 18813 29345 and 24794 28380 corresponding to MFAC and PID controller, respectively) In four out of six patient scenarios, MFAC control tracking performance was better than the PID controller. This study shows the control performance can be guaranteed across different patients and conditions when using MFAC over PID control, which is a step toward clinical acceptance of these systems.
A Study on Historical Analysis of Murshidabad Silk Industry at Nawab's Reign (1717 1757)
Year: 2019

The word used in India 'Silk and cocoon' is in ancient Sanskrit literature indicates that India had a kind of silk worm in very ancient time. From the philosophical evidence with of silk worm in very ancient time. From the philosophical evidence with reference to silk thread in Mahabharata, the 'Ramayana' and the 'laws of Manu' it can be said that silk industry existed in India since before the Christian era. Various accounts of the history of silk in India claim that silk weaving in Bengal existed from ancient times. Records show that the silk weavers of Murshidabad were operating in 18th century when Nawab Murshid Quli Khan (1717 1727) shifted the capital of the Dewanee of Bengal from Dhaka, now in Bangladesh, to a new capital he built on the east bank of the River Bhagirathi and named Murshidabad. Murshidabad is famous for its cowdial saris made of fine mulberry silk with flat, deepred or maroon borders made with three shuttles. The borders are laced with fine serrated design in gold zari. Murshidabad silks are also popular for hand printed designs and other materials which are also printed with wooden blocks. Calcutta and Serampore in the Hooghly district are the main textile hand printing centres in West Bengal. In this study we are trying to know the golden era of Silk industry at Murshidabad and the price of silk,business and patronized by Nawab's reign on this industry and also the farmer's condition. Once silk goods of Murshidabad were exported to the different countries of the world. In sixteenth century Murshidabad exported its silk product to the coasts of East Africa, Arabia, Turkey, Syria and other Countries (Majumdar, M. 2017)
Archie's law a reappraisal
Year: 2016

When scientists apply Archie's first law they often include an extra parameter a, which was introduced about 10 years after the equation's first publication by Winsauer et al. (1952) and which is sometimes called the "tortuosity" or "lithology" parameter. This parameter is not, however, theoretically justified. Paradoxically, the Winsauer et al. (1952) form of Archie's law often performs better than the original, more theoretically correct version. The difference in the cementation exponent calculated from these two forms of Archie's law is important, and can lead to a misestimation of reserves by at least 20 for typical reservoir parameter values. We have examined the apparent paradox, and conclude that while the theoretical form of the law is correct, the data that we have been analysing with Archie's law have been in error. There are at least three types of systematic error that are present in most measurements: (i) a porosity error, (ii) a pore fluid salinity error, and (iii) a temperature error. Each of these systematic errors is sufficient to ensure that a non unity value of the parameter a is required in order to fit the electrical data well. Fortunately, the inclusion of this parameter in the fit has compensated for the presence of the systematic errors in the electrical and porosity data, leading to a value of cementation exponent that is correct. The exceptions are those cementation exponents that have been calculated for individual core plugs. We make a number of recommendations for reducing the systematic errors that contribute to the problem and suggest that the value of the parameter a may now be used as an indication of data quality.
DeBERTa: Decoding enhanced BERT with Disentangled Attention
Venue: ICLR
Year: 2021

Recent progress in pre trained neural language models has significantly improved the performance of many natural language processing (NLP) tasks. In this paper we propose a new model architecture DeBERTa (Decoding enhanced BERT with disentangled attention) that improves the BERT and RoBERTa models using two novel techniques. The first is the disentangled attention mechanism, where each word is represented using two vectors that encode its content and position, respectively, and the attention weights among words are computed using disentangled matrices on their contents and relative positions. Second, an enhanced mask decoder is used to replace the output softmax layer to predict the masked tokens for model pretraining. We show that these two techniques significantly improve the efficiency of model pre training and performance of downstream tasks. Compared to RoBERTa Large, a DeBERTa model trained on half of the training data performs consistently better on a wide range of NLP tasks, achieving improvements on MNLI by +0.9% (90.2% vs. 91.1% on SQuAD v2.0 by +2.3% (88.4% vs. 90.7% and RACE by +3.6% (83.2% vs. 86.8% The DeBERTa code and pre trained models will be made publicly available at this https URL.
Overcoming the challenges of a shallow water sparse wide azimuth survey to improve deep reservoir imaging in the East China Sea
Venue: The Leading Edge
Year: 2019

A new broadband wide azimuth towed streamer (WATS) survey was acquired to better resolve reservoir compartments in a shallow water region of the East China Sea. To offset the shortcomings of narrow azimuth acquisition along the strike direction, two vessels were added side by side as additional source vessels to form the WATS acquisition geometry for this survey. This WATS acquisition was much sparser than typical WATS surveys used in deepwater environments due to its one sided configuration. The combination of sparse acquisition, shallow water, and deep targets set the challenge of how to optimally reveal the potential of side gun data to improve the final image. Three dimensional effects and severe aliasing in the crossline direction pose significant challenges for side gun data processing. We present a comprehensive workflow to resolve these challenges consisting of 3D deghosting, 3D model based water layer demultiple, 3D surface related multiple elimination, and 4D regularization for sparse and shallow water wide azimuth data. A tilted orthorhombic velocity model is built with better constraints from the wide azimuth data, leading to improved fault positioning and imaging. Side gun data clearly enhance the final target reservoir image and tie better with well data due to improved illumination. A new channel is discovered based on interpretation from the inverted VP/VS, explaining the previous incorrect prediction for one failed well that was drilled into a thinner and shallower channel unconnected to the main reservoir. An analysis of the impact of side gun data from different offsets and azimuths shows that better azimuthal distribution within middle offset ranges had a more significant impact than far offsets in the final image of this survey. This information provides valuable reference in similar geologic conditions for future acquisition designs.
Improved Efficacy of Neoadjuvant Compared to Adjuvant Immunotherapy to Eradicate Metastatic Disease.
Venue: Cancer discovery
Year: 2016

Immunotherapy has recently entered a renaissance phase with the approval of multiple agents for the treatment of cancer. Immunotherapy stands ready to join traditional modalities, including surgery, chemotherapy, radiation, and hormone therapy, as a pillar of cancer treatment. Although immunotherapy has begun to have success in advanced cancer treatment, its scheduling and efficacy with surgery to treat earlier stages of cancer and prevent distant metastases have not been systematically examined. Here, we have used two models of spontaneously metastatic breast cancers in mice to illustrate the significantly greater therapeutic power of neoadjuvant, compared with adjuvant, immunotherapies in the context of primary tumor resection. Elevated and sustained peripheral tumor specific immune responses underpinned the outcome, and blood sampling of tumor specific CD8+ T cells immediately prior to and post surgery may provide a predictor of outcome. These data now provide a strong rationale to extensively test and compare neoadjuvant immunotherapy in humans.  We demonstrate the significantly greater therapeutic efficacy of neoadjuvant, compared with adjuvant, immunotherapies to eradicate distant metastases following primary tumor resection. Elevated and sustained peripheral tumor specific immune responses underpinned the outcome, and blood sampling of tumor specific CD8+ T cells immediately prior to and post surgery may provide a predictor of outcome. Cancer Discov; 6(12) 1382 99. (c)2016 AACR.See related commentary by Melero et al. p. 1312This article is highlighted in the In This Issue feature, p. 1293.
Effectiveness of Moodle E learning for Students Enrolment of GENL 1101 'Learning Resources and Skills' at Asia Pacific International University
Year: 2020

The objectives of this research were 1) to study the level of student satisfaction and learning in the classroom using Moodle e learning, 2) to compare the differences between personal factors and the effectiveness of teaching and learning through Moodle e learning, and 3) to apply the results of the study as a guideline for the development of decision making to choose whether to use the blended learning model using Moodle e learning. The population and the sample groups were 103 first year undergraduate students at Asia Pacific International University. Questionnaires were used to elicit student responses. The statistics used in the research were mean, standard deviation (SD) t test, and one way ANOVA. The results of this study show that students' level of satisfaction with teaching and learning in the classroom using Moodle e learning is at a moderate level. When comparing the differences, it was found that the satisfaction level of the students with different genders and ages with teaching in the classroom using Moodle e learning is not different. However, it was found that students from different fields of study had different levels of satisfaction with statistically significant level of 0.05. The study showed motivation of learning both in and out of classroom in used of Moodle program in order to benefit the study.
A Multi Sensor Approach to Forest Type Mapping for Advancing Monitoring of Sustainable Development Goals (SDG) in Myanmar
Venue: Remote. Sens.
Year: 2020

Monitoring forests is important for measuring overall success of the 2030 Agenda because forests play an essential role in meeting many Sustainable Development Goals (SDG) especially SDG 15. Our study evaluates the contribution of three satellite data sources (Landsat 8, Sentinel 2 and Sentinel 1) for mapping diverse forest types in Myanmar. This assessment is especially important because Myanmar is currently revising its classification system for forests and it is critical that these new forest types can be accurately mapped and monitored over time using satellite imagery. Our results show that using a combination of Sentinel 1 and Sentinel 2 yields the highest accuracy (89.6% 0.16 percentage point(pp) followed by Sentinel 2 alone (87.97% 0.11pp) and Landsat 8 (82.68% 0.13pp) The higher spatial resolution of Sentinel 2 Blue, Green, Red, Narrow Near Infrared and Short Wave Infrared bands enhances accuracy by 4.83% compared to Landsat 8. The addition of the Sentinel 2 Near Infrared and three Vegetation Red Edge bands further improve accuracy by 0.46% compared to using only Sentinel 2 Blue, Green, Red, Narrow Near Infrared and Short Wave Infrared bands. Adding the radar information from Sentinel 1 further increases the accuracy by 1.63% We were able to map the two major forest types, Upper Moist and Upper Dry Mixed Deciduous Forest, which comprise 90% of our study area. Accuracies for these forest types ranged from 77 to 96% depending on the sensors used, demonstrating the feasibility of using satellite data to map forest categories from a newly revised classification system. Our results advance the ongoing development of the National Forest Monitoring System (NFMS) by the Myanmar Forest Department and United Nations Food and Agriculture Organization (UN FAO) and facilitates future monitoring of progress towards the SDGs.
A protocol for simulant validation using active millimeter wave imaging systems
Venue: Defense Commercial Sensing
Year: 2020

Millimeter wave (MMW) imaging systems have the capability of detecting anomalous objects, which can include explosive threats and other prohibited items concealed on persons in airport checkpoints and other facilities requiring personnel screening. Benign materials that simulate explosives and other threats are used to test Advanced Imaging Technology (AIT) systems when live threats cannot be placed on human subjects. While laboratory dielectric measurements are used to formulate candidate simulants, it is useful, and sometimes necessary, to independently validate a simulant for an AIT system of interest. An imaging phantom has been fabricated using standard vacuum hardware and thin plastic films for containing samples of interest. The phantom's design allows for simultaneous imaging of threats and candidate simulants in a fixed, repeatable fashion. The phantom was self validated with deionized water using a criterion for resolving two overlapped distributions. Results obtained from a subsequent study of a flammable liquid versus its candidate simulant are presented, validating the use of the simulant for use with the target AIT system.
The Role of Social Networks and Peer Effects in Education Transmission
Year: 2012

We propose a dynastic model in which individuals are born in an educated or uneducated environment that they inherit from their parents. We study the role of social networks on the correlation in the parent child educational status independent of any parent child interaction. We show that the network reduces the intergenerational correlation, promotes social mobility and increases the average education level in the population. We also show that a planner that encourages social mobility also reduces social welfare, hence facing a trade off between these two objectives. When individuals choose the optimal level of social mobility, those born in an uneducated environment always want to leave their environment while the reverse occurs for individuals born in an educated environment.
From aesthetic rapture to servile love: the myth of the rasika in kalidasa's kumarasaNbhava
Year: 2013

This paper explores the aesthetic world of the KumarasaNbhava (The Birth of the Son) and probes its central theme of erotic love, perhaps one of the most important concerns of most kavya poets. Using Robert Goodwin's theoretical framework of the identification of the hero inside the Sanskrit Love Plays and the rasika connoisseur outside the play or simply, the rasika myth this paper sets out to explore the text as a psychological process rather than an aesthetic product. The central psychological element of the rasika myth is 'love' in its most sophisticated and naive manner: aesthetic erotic love (srngararasa) vis a vis love as an ordinary feeling (rati) The mythic paradigm thus emphasises the psychological tensions that surround kavya's aestheticism and its various representation of the notion of love. Clearly, the KumarasaNbhava depicts Siva's psychological reaction to the shifting status of a beautiful woman around him from being the female Sri of sexual allure of the first half of the poem t.
Resistance Gene Directed Discovery of a Natural Product Herbicide with a New Mode of Action
Venue: Nature
Year: 2018

Bioactive natural products have evolved to inhibit specific cellular targets and have served as lead molecules for health and agricultural applications for the past century1 3. The post genomics era has brought a renaissance in the discovery of natural products using synthetic biology tools4 6. However, compared to traditional bioactivity guided approaches, genome mining of natural products with specific and potent biological activities remains challenging4. Here we present the discovery and validation of a potent herbicide that targets a critical metabolic enzyme that is required for plant survival. Our approach is based on the co clustering of a self resistance gene in the natural product biosynthesis gene cluster7 9, which provides insight into the potential biological activity of the encoded compound. We targeted dihydroxy acid dehydratase in the branched chain amino acid biosynthetic pathway in plants; the last step in this pathway is often targeted for herbicide development10. We show that the fungal sesquiterpenoid aspterric acid, which was discovered using the method described above, is a sub micromolar inhibitor of dihydroxy acid dehydratase that is effective as a herbicide in spray applications. The self resistance gene astD was validated to be insensitive to aspterric acid and was deployed as a transgene in the establishment of plants that are resistant to aspterric acid. This herbicide resistance gene combination complements the urgent ongoing efforts to overcome weed resistance11. Our discovery demonstrates the potential of using a resistance gene directed approach in the discovery of bioactive natural products.Fungal genome mining targeted to self resistance genes close to biosynthetic gene clusters identifies a pathway that produces aspterric acid, which proves to be a potent inhibitor of plant growth.
Using Drilling to Teach Pronunciation to the Seventh Graders
Year: 2016

The role of pronunciation is quite significant in speaking skill as a measure for language proficiency. Most teachers understand the theories of pronunciation, but in terms of teaching, they often give little material about it because of the lacks of knowledge to apply how to teach pronunciation effectively. To teach pronunciation to students, there are a lot of strategies and supports for effective pronunciation teaching. One of those techniques is Drilling. This paper describes how to teach pronunciation effectively through drilling technique and supported by some supporting strategies.
Intervencion desde la Terapia de Aceptacion y Compromiso y la Activacion Conductual en un caso de ansiedad social
Year: 2019

En el trabajo se presenta el caso de un paciente de 42 anos con un diagnostico de ansiedad social y sintomas depresivos. Se aplico un tratamiento de 14 sesiones basado en la terapia de Aceptacion y Compromiso (ACT) y Activacion Conductual (AC) En los resultados, se observo un aumento de la flexibilidad psicologica y del funcionamiento del paciente en las diversas areas vitales. Tambien se redujo la sintomatologia ansiosa y depresiva. Por ultimo, se discuten los resultados obtenidos y se reflexiona sobre la aplicacion de estos tratamientos en el trastorno de ansiedad social