nils-herrmann/clean_scirepeval huggingface dataset:
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
Venue: EMNLP
Year: 2020

In order to simulate human language capacity, natural language processing systems must complement the explicit information derived from raw text with the ability to reason about the possible causes and outcomes of everyday situations. Moreover, the acquired world knowledge should generalise to new languages, modulo cultural differences. Advances in machine commonsense reasoning and cross lingual transfer depend on the availability of challenging evaluation benchmarks. Motivated by both demands, we introduce Cross lingual Choice of Plausible Alternatives (XCOPA) a typologically diverse multilingual dataset for causal commonsense reasoning in 11 languages. We benchmark a range of state of the art models on this novel dataset, revealing that current methods based on multilingual pretraining and zero shot fine tuning transfer suffer from the curse of multilinguality and fall short of performance in monolingual settings by a large margin. Finally, we propose ways to adapt these models to out of sample resource lean languages where only a small corpus or a bilingual dictionary is available, and report substantial improvements over the random baseline. XCOPA is available at this http URL.
Features of Butene 1 Adsorption on H Beta Zeolite
Venue: Russian Journal of Physical Chemistry A
Year: 2019

The adsorption of butene 1 on Beta zeolite (H form) is studied via flow adsorption calorimetry. Upon feeding a mixture of 2 vol of butene 1 in nitrogen over the pre calcined zeolite (500degC) at room temperature, an exothermic effect is observed that is associated with the adsorption and transformations of butene, particularly its isomerization to cis and trans butenes 2. The thermal desorption of adsorbed butene 1 results in formation of hydrocarbon products showing that oligomerization proceeds during adsorption. It is found that zeolite pretreated with moist nitrogen adsorbs water up to 9.2 wt A weak exothermic effect is observed when butene 1 is adsorbed on this rehydrated zeolite, due apparently to the physical adsorption of butene 1. When the rehydrated zeolite is held for long periods of time in a stream of a butene/nitrogen mixture, cis butene 2 is detected at the reactor outlet, indicating the gradual replacement of water with butene 1 on the active sites of zeolite.
Dual Cloud Secure Keyword Search Scheme with Public Key Encryption
Year: 2018

Dual cloud database to realize convenient and low cost applications and services. In order of services to provide sufficient functionality for SQL queries, many secure database schemes have been proposed. However, such schemes are vulnerable to privacy leakage to a cloud server. The main reason is that database is hosted and processed the cloud server, which is beyond the control of data owners. For the numerical range query "" "" etc. those schemes cannot provide sufficient privacy protection against practical challenges, e.g. privacy leakage of statistical properties, access pattern. Increased the number of queries will inevitably leak more information to the cloud server. dual cloud architecture for protecting the database, with a series of intersection protocols, are provided security preservation to various numeric related range queries. The secure analysis shows privacy of numerical information can strongly protect against dual cloud providers in our projects. Applying the proxy signature technique to manage the group leader can effectively grant the permission of group management to one or more chosen group members can analysis easy located from the different resource. Proxy server encryption techniques most computational operation delegated to Cloud Servers without disclosing the private information. Extensive security and performance analysis are shows that our proposed scheme is highly efficient and satisfies the could later retrieve. Security requirements for public cloud secure sharing the data. Efficient and resilient against loss malicious data modification attack and even server attacks.
Examining the Self Efficacy of Community College STEM Majors: Factors Related to Four Year Degree Attainment
Year: 2015

Despite the awareness of the importance of self efficacy, this concept has been studied in a limited sense among community college students (Collins Bissell, 2004) but it has been shown to be significantly related to career decisions among enrollees (Kelly Hatcher, 2013) The literature does not address what types of experiences can improve or enhance self efficacy among college students as it relates to research and among community college students specifically. This study addresses the gap in the literature by examining what experiences can improve the self efficacy of community college students as it relates to research and whether this has an impact on their long term career plans to pursue a science, technology, engineering, and mathematics (STEM) career.
Solar Powered Wireless Intrusion Detection System in Agricultural Farms
Venue: International Journal of Computer Applications
Year: 2019

In recent times we observe that farmers are committing suicide because they cannot cope up with the physical, mental, financial and various factors that push them over the edge. One such factor is the constant encroachment by animals on farmlands thereby incurring an irreparable loss to the farmers. Often the fully grown crops get razed to the ground when animals intrude into the farmland. This problem is rising at an alarming rate as due to deforestation the animals living in the region wander off in the human territory. To prevent such mishaps, farmers need to be on their guard when crops are almost ready to be harvested. Farmers have to guard their agricultural lands throughout the chilly weather or unforgiving heat at night. Guarduino is an intelligent animal farm intrusion detection system which is based on IoT using basic components like Arduino Mega, Proximity Sensor, LED, Buzzer, WiFi Module, LCD. It solves this burdensome problem as it's cheap, power efficient, eco friendly, reduces manual labor of the farmer, reduces the overall loss incurred to the farmer by a decent margin hence giving him a peace of mind. Guarduino also detects the precise location of the intrusion and acts as a surveillance system. There will be LED light stream at the fence which will make the animal aware of some presence in the area and temporarily causing a stun so as to just scare the animal away from the plantation. WiFi module has enabled us to gather intrusion data on the cloud. To prevent such mishaps, farmers need to be on their guard when crops are almost ready to be harvested.If such an intrusion is detected quickly by the use of IOT, the farmer need not have his physical presence to detect an intrusion but will be able to respond quickly if such a thing happens.
Counterfactual domain adversarial training of neural networks
Venue: 2017 International Conference on the Frontiers and Advances in Data Science (FADS)
Year: 2017

A number of domain adaptation techniques have been developed in classical supervised machine learning to solve the problem of learning under domain shift. Unfortunately, almost no attempt has been made to exploit their potential use for causal inference. In this paper, we present a conceptual framework which leverages on one of these successes by adopting Domain Adversarial of Neural Network (DANN)  and make it work within the context of causal inference. More specifically, we attempt to modify an existing counterfactual prediction framework based on domain adaptation (DA)  with a deep neural network and discrepancy distance measure to enable us instead to perform causal inference in an adversarial way. We achieved this by jointly minimizing the risk in the feature reconstruction and the counterfactual prediction while maximizing the error in discriminating between the distribution of subjects that received intervention and those that received no intervention. This way, a domain invariant yet discriminative model that will generalize well on the counterfactual target distribution is produced.
Relationship between shift work and life style behaviors among emergency department nurses in Jordan.
Venue: Archives of environmental occupational health
Year: 2020

Shift work can alter the nurses' lifestyle behaviors, which negatively influence health. This study is purposed to assess the relationship between shift work and selected lifestyle behaviors including, dietary habits, physical activity, and nicotine dependence among Jordanian nurses who work at the emergency department. A cross sectional, descriptive correlational design was used. A total of 275 Jordanian nurses from the emergency department of Jordanian hospitals participated in the questionnaire. The results showed that 50.2% of the nurses suffered from poor dietary habits, 81.8% of them were physically inactive, and 65.1% had nicotine dependence. There was a positive correlation between shift work, dietary habits, physical activity, and nicotine dependence. Therefore, the effects of shift work should be considered when planning and developing interventional programs to enhance nurses' health and promote healthy behaviors among nurses workforce during shift work.
HUBUNGAN TINGKAT KECEMASAN DENGAN PRESTASI BELAJAR PADA MAHASISWA PROGRAM D3 KEPERAWATAN
Year: 2017

Kecemasan merupakan keadaan emosi yang tidak memiliki obyek yang spesifik, yang dialami secara subyektif dan dikomunikasikan dalam hubungan interpersonal di mana wujudnya adalah respon perilaku, kognitif dan respon yang lain. Kecemasan bisa terjadi sepanjang kehidupan dan dialami oleh siapa saja. Prestasi belajar dapat dioperasionalkan dalam bentuk indeks prestasi dan merupakan akumulasi dari nilai hasil ujian dan tugas tugas individu maupun kelompok. Dan respon kecemasan bisa muncul pada saat menghadapi ujian, sehingga bisa mempengaruhi prestasi belajar.Penelitian ini ditujukan untuk mengetahui ada tidaknya hubungan antara tingkat kecemasan dengan prestasi belajar (indeks prestasi) pada mahasiswa Program D3 Keperawatan Universitas Muhammadiyah Malang. Penelitian ini adalah penelitian "Correlational" dengan menggunakan desain penelitian "Cross Sectional" dengan teknik sampling "Purposive sampling" dengan jumlah sampel 95 mahasiswa tingkat III pada bulan desember 2005. dari hasil analisa statistik dengan menggunakan Uji Statistik korelasi spearman antara tingkat kecemasan dengan prestasi belajar didapatkan p value 0,093 jika dibandingkan dengan alpha 0.05 maka menunjukkan bahwa tidak ada hubungan yang signifikan antara tingkat kecemasan dengan prestasi belajar pada mahasiswa tingkat III. Sedangkan hasil uji regresi linier sederhana diperoleh R square sebesar 0.010 yang artinya 1% keragaman nilai indeks prestasi ditentukan oleh tingkat kecemasan dan 99% ditentukan oleh faktor lain. Oleh karena itu perlu adanya bimbingan konseling pada mahasiswa tentang bagaimana teknik belajar yang efektif dan managemen waktu, serta mekanisme koping yang tepat dalam menghadapi stres. Dengan demikian perlu penelitian lebih lanjut pada mahasiswa tingkat I dan II. Dan penelitian terhadap faktor faktor lain yang mempengaruhi indeks prestasi.
Structured Clinical Interview for DSM Diagnosis
Year: 2010

The Structured Clinical Interview for DSM Diagnosis is a semistructured interview for making the major DSM IV Axis I Disorders (SCID I) and Axis II Personality Disorders (SCID II) diagnoses. Unlike fully structured clinical interviews that may be administered by lay interviewers (e.g. the Diagnostic Interview Schedule) the SCID is a semistructured interview, and it must be administered by a clinician or trained mental health professional. As the most widely used instrument for assessing Axis I disorders, the SCID I has been used in thousands of research studies since its introduction in 1986.  assessment; diagnostic interview; DSM IV TR; interview
Ethnobotany, Phytochemistry and Pharmacological Properties of Eucommia ulmoides: A Review.
Venue: The American journal of Chinese medicine
Year: 2019

Eucommia ulmoides Oliver, a single species of Eucommia genus belonging to the Eucommiaceae family, is an endemic in China and has been used in traditional Chinese medicine for nearly two thousand years. Records from different historical periods highlight E. ulmoides and its officinal botanical parts, usefulness in adaptation to disease and its central role in Chinese medicine theory. There are also historical collection documents for minorities in China. Tearing the leaves, bark and fruit produces strands of latex; a description of E. ulmoides's morphological features is recorded in this paper. This review summarizes 204 natural compounds isolated from this plant, which are divided into seven categories: lignans, iridoids, flavonoids, phenols, steroids, terpenes and others. These components possess wide ranging pharmacological efficacies, such as antihypertensive, antihyperglycemic, antihyperlipidemia, anti oxidative, anti osteoporosis, antitumor, immunomodulatory and neuroprotective activities. This review aims to provide a reference for extensive researches of E. ulmoides crude drugs, especially for quality control, biosynthesis and structure modification of active ingredients and pharmacological mechanism.
Immigrants as 'Others' of 21st Century Britain: Ethnicity, Culturo Religious Identity and Critical Race Theory in Rachel De lahay's Social Realist Political Theatre
Year: 2020

This article addresses Rachel De lahay and her plays The Westbridge (2011) Routes(2013) and Circles (2014) aiming, in a broad sense, to observe De lahay's theatre in terms of the contradictory nature of identities inexorably fluctuating among multi cultures, and the representation of reality as represented within the milieu of dramaturgical fundamentals. To what extent the characters' language is used as a theatrical armament in the making of identity, as well as the playwright's strategy in using dramatic basics to represent the conflicting identities are subjected to this exploration. As well as this, to what extent the cultural and identity conflicts are evolved into the dramatic conflict will be illuminated through the playwright's oeuvres. The religious and traditional views regarding culturo religious behaviourism that partly constitutes cultural structure and identity will also be associated. These will be blended with the playwright's socio political and socio realist point of view; relevant analyses will be conducted and De lahay's approach to the concept of 'other' will also be considered. In addition to all these, the recent signs of race and racism with a keen interest in non white portrayals and their direct influence on the immigrants in Britain as represented in the plays will be included in this exploration in relation to race theory.
Developing and Applying TPACK for a Blended Learning Environment: A Rural Higher Education Experience in the Philippines
Year: 2016

This study presents the development and application of Technological Pedagogical and Content Knowledge (TPACK) for blended learning environment (BLE) to a university located in rural area of the Philippines with limited technological resources for online learning. Each element of TPACK model was used as a guide in the development of teaching plan for a blended learning environment. A randomized pretest and posttest quasi experimental research design was used in this experiment to determine the significant difference on the posttest sores of the experimental and control group regarding their achievement test in Computer Fundamentals. Participants of the study consisted 90 freshmen Bachelor of Science in Information Technology students, 45 students each comprising the experimental and control group. An item analyzed multiple choice achievement test floated before and after the experiment. Result revealed that successful integration of technology in a technology deprived university using TPACK model for BLE was evident. Regarding student learning, results revealed that both the experimental and control group slightly increased their mean score using the blended learning approach and traditional teaching inside the classroom. Hence, it is recommended to continuously focus on PCK to further improve the TPACK model for BLE for school in rural areas.
Getting from Diversity to Inclusion in Economics
Year: 2018

For the economics profession to become more diverse, leaders must focus on building an inclusive culture that welcomes new voices and listens to new ideas. This means putting out the welcome mat, asking newcomers what they think, and letting their answers influence our future. That will be key to changing the statistics. The following is adapted from a speech by the director of research of the Federal Reserve Bank of San Francisco to the Gender and Career Progression Conference at the Bank of England in London on May 14.
End to End Learning of Video Compression using Spatio Temporal Autoencoders
Venue: 2020 IEEE Workshop on Signal Processing Systems (SiPS)
Year: 2020

Deep learning (DL) is revolutionizing image and video processing and now holds state of the art performance in many tasks. However, video compression has so far resisted the DL revolution. Current attempts rely on complex solutions, interconnecting multiple networks to mimic the different layers of conventional codecs. Since DL approaches usually excel when the models are allowed to learn their own feature set, a different solution is herein proposed: end to end learning of a single network, explicitly avoiding motion estimation/prediction. We formalize it as the rate distortion optimization of a single spatio temporal autoencoder, by jointly learning a latent space projection transform, and a synthesis transform for low bitrate video compression. The quantizer uses a rounding scheme, relaxed during training, and an entropy estimation technique to enforce an information bottleneck. The obtained video compression network shows competitive performance against standard codecs (MPEG 4 Part 2, H.264/AVC, H.265/HEVC) particularly for low bitrates, even while avoiding the use of any motion prediction/compensation method.
A Two Season Impact Study of Radiative Forced Tropospheric Response to Stratospheric Initial Conditions Inferred From Satellite Radiance Assimilation
Venue: Climate
Year: 2019

This study investigated the impacts of stratospheric temperatures and their variations on tropospheric short term weather forecasting using the Advanced Research Weather Research and Forecasting (WRF ARW) system with real satellite data assimilation. Satellite borne microwave stratospheric temperature measurements up to 1 mb, from the Advanced Microwave Sounding Unit A (AMSU A) the Advanced Technology Microwave Sounder (ATMS) and the Special Sensor microwave Imager/Sounder (SSMI/S) were assimilated into the WRF model over the continental U.S. during winter and summer 2015 using the community Gridpoint Statistical Interpolation (GSI) system. Adjusted stratospheric temperature related to upper stratospheric ozone absorption of short wave (SW) radiation further lead to vibration in downward SW radiation in winter predictions and overall reduced with a maximum of 5.5% reduction of downward SW radiation in summer predictions. Stratospheric signals in winter need 48 to 72 h to propagate to the lower troposphere while near instant tropospheric response to the stratospheric initial conditions are observed in summer predictions. A schematic plot illustrated the physical processes of the coupled stratosphere and troposphere related to radiative processes. Our results suggest that the inclusion of the entire stratosphere and better representation of the upper stratosphere are important in regional NWP systems in short term forecasts.
Semantic Matching and Aggregation Network for Few shot Intent Detection
Venue: FINDINGS
Year: 2020

Few shot Intent Detection is challenging due to the scarcity of available annotated utterances. Although recent works demonstrate that multi level matching plays an important role in transferring learned knowledge from seen training classes to novel testing classes, they rely on a static similarity measure and overly fine grained matching components. These limitations inhibit generalizing capability towards Generalized Few shot Learning settings where both seen and novel classes are co existent. In this paper, we propose a novel Semantic Matching and Aggregation Network where semantic components are distilled from utterances via multi head self attention with additional dynamic regularization constraints. These semantic components capture high level information, resulting in more effective matching between instances. Our multi perspective matching method provides a comprehensive matching measure to enhance representations of both labeled and unlabeled instances. We also propose a more challenging evaluation setting that considers classification on the joint all class label space. Extensive experimental results demonstrate the effectiveness of our method. Our code and data are publicly available.
Modelo de Intervencion Ambiental para la Disminucion de la Contaminacion del Agua Producida por Vertederos de Aceites en la Alcaldia De Iztacalco, Cdmx
Year: 2019

Proyecto Terminal del Programa Educativo en Politicas y Proyectos Sociales, de la Division de Ciencias Sociales, UnADM, 2019.
Optimum cleaning schedule of photovoltaic systems based on levelised cost of energy and case study in central Mexico
Year: 2020

In this paper, the soiling impact on photovoltaic systems in Aguascalientes, in central Mexico, an area where 1.4GWp of new photovoltaic capacity is being installed, is characterised experimentally. A soiling rate of 0.16%/day in the dry season for optimally tilted crystalline silicon modules, and a stabilization of the soiling losses at 11.2% after 70 days of exposure were observed. With these data, a first of its kind novel method for determining optimum cleaning schedules is proposed based on minimising the levelised cost of energy. The method has the advantages compared to other existing methods of considering the system investment cost in the determination of the optimum cleaning schedule. Also, it does not depend on economic revenue data, which are often subject to uncertainty. The results show that residential and commercial systems should be cleaned once per year in Aguascalientes. On the other hand, cleaning intervals from 12 to 31 days in the dry season were estimated for utility scale systems, due to the dramatic decrease of cleaning costs per unit photovoltaic capacity. We also present a comparative analysis of the existing criteria for optimising cleaning schedules applied to the same case study. The different methods give similar cleaning intervals for utility scale systems and, thus, the choice of a suitable method depends on the availability of information.
Relaxed Lockdown in Bangladesh During COVID 19: Should Economy Outweigh Health?
Venue: International journal of health policy and management
Year: 2020

*Correspondence to: Raaj Kishore Biswas,  RaajKishore.Biswas@ student.unsw.edu.au Copyright: (c) 2020 The Author(s) Published by Kerman University of Medical Sciences.  May 2020;  8 June 2020;