nils-herrmann/clean_scirepeval huggingface dataset:
Bearing ring lifting device
Year: 2012

The invention relates to a bearing ring lifting device and belongs to the technical field of bearing processing equipment. The bearing ring lifting device comprises a lifting structure, a discharge structure, a stop structure and a limit structure. The lifting structure comprises a base, a rodless cylinder and a lift block component. The lift block component is disposed on one side of the rodless cylinder and slidably connected with the rodless cylinder. The lift block component comprises a lift block, an inner plate, an outer plate, a left bolt, a right bolt, a bearing and a bearing ring. The bearing is disposed on the left of the lift block. A downward U groove is arranged on the right of the lift block. Two bolt holes are arranged on the left and right sides of the outer plate respectively. The lift block is disposed between the inner plate and the outer plate. The left bolt penetrates through the left bolt hole of the outer plate and the bearing of the lift block to be mounted on the inner plate. The right bolt penetrates through the right bolt hole of the outer plate and the U groove of the lift block to be mounted on the inner plate. The discharge structure comprises a discharge channel, a discharge channel fixing plate and a lift block stopper. Compared with the prior art, the bearing ring lifting device has the advantages of simplicity, reliability, lower time and labor consumption, and higher operating efficiency.
Surgical Decision Making in Cervical Spondylotic Myelopathy: Comparison of Anterior and Posterior Approach
Year: 2016

available in the literature, it is estimated that 1.6 of every 100,000 individuals are surgically treated for this condition.4 This statistic suggests that the number of individuals who experience CSM is much higher. Preferred initial treatment for CSM includes nonoperative modalities such as physical therapy; anti inflammatory medications; and in some cases, a cervical collar. However, refractory cases may require surgical intervention. Current literature has demonstrated surgical decompression of the cervical spine to improve functional outcomes in patients with CSM.5,6 Decompression can be achieved via an anterior or a posterior approach; each method of decompression has its own advantages and disadvantages. To our knowledge, there are no published randomized controlled clinical studies that compare the two approaches directly, which prevents clear conclusions from being drawn. Therefore, this review aims to summarize the current literature regarding anterior and posterior approaches for the treatment of CSM, with specific emphasis on comparing treatment safety and efficacy.
Potential of replacing pawpaw fruit and leaves with cabbage peels as a natural feedstuff in the diet of Achatina achatina linne (African giant land snail)
Year: 2009

An experiment was carried out to assess the growth performance of African Giant Land Snail Achatina achatina Linnie fed with three natural feedstuff; pawpaw fruit, pawpaw leaves and cabbage leaves. A total of 24 growing snails of approximately one year old were used for the study. These were randomly divided into six groups and then allotted into the three experimental diets, arranged in a completely randomised design (CRD) order. Dry matter intakes of feed being served every other days, weight gain and size increase of snails were assessed fortnightly. The results showed that pawpaw leaf is higher in protein than cabbage leaf and pawpaw fruit. However, cabbage leaf contains some essential mineral elements, which are useful in body building than the other two feedstuffs. It also showed that snails fed with cabbage leaves had the highest dry matter intake and weight gain of 14.2 and 18.6 g, respectively. Highest shell length and circumference increase of 0.3 and 0.6 cm were obtained in pawpaw fruit and pawpaw leaf respectively. Although there was no significance difference (p 0.05) in the weight gain of snails fed with pawpaw fruit and cabbage leaves, cabbage leaf seems to be richer in protein and other essential mineral elements than pawpaw fruit. It was therefore concluded that cabbage leaf could serve as a good substitute for pawpaw fruit and leaves, which hitherto were known as the preferred natural feedstuff of snails.
Aesthetics of the immersive omnidirectional experience. An exploration of the social impact of interactive installations inside museums and galleries.
Year: 2014

Unimaginable changes that we have been witnessing in the last decade about the museum environment focuses mainly on the ICT use that has broaden the traditional perception of exhibiting from an understanding of listing, editing, selecting and positioning towards one of "interpretation" that not only deals with technological innovation per se but focuses more on the use of technology that builds bridges between identities, locations, territories, communities and most importantly stories. At the heart of this change lays down the aesthetics of the interactive experience that has changed the linear modal of a single display and information to a multi modal and layered experiences using ubiquity and virtuality. Nonetheless, technology sometimes has seemed to create a enclosure between the artwork and the visitor, many immersive installations has managed to overcome the prejudice creating this conversation between the "n" visitor, "n" object and story. Hence, this paper aims to present some case studies to develop a omnidirectional experience framework investigating on the aesthetics of interactive narration which can be a basis for social interaction inside museums and galleries.
Design and Reliability Evaluation of ETS Control System Based on Triple Modular Redundancy
Year: 2010

Aiming to the high reliability and high safety requirements of steam turbine protection system,an emergent trip system(ETS) based on the triple modular redundant(TMR) tolerant technology is presented in detail in this paper.The signal sampler,system bus,main controller,and output module are designed in TMR structure.A method of self monitoring of intra channel and cross monitoring of inter channel with synchronization strategy is presented to realize fault processing and isolation.Through setting voting process in input data,output data,and H pattern hardware structure,and adopting preset adaptable voting mechanism,the two failures operation and three failures safety of the ETS system are realized effectively.Taking into account of maintenance,reliability and safety reguirment of the system are analyzed based on the Markov model.Simulation results show that the system has a high reliability and high safety.Field commissioning and longtime electrified trials prove that the system satisfies the requirement of ETS safety protection system.
Capturing the Diversity in Lexical Diversity.
Year: 2013

The range, variety, or diversity of words found in learners' language use is believed to reflect the complexity of their vocabulary knowledge as well as the level of their language proficiency. Many indices of lexical diversity have been proposed, most of which involve statistical relationships between types and tokens, and which ultimately reflect the rate of word repetition. These indices have generally been validated in accordance with how well they overcome sample size effects and/or how well they predict language knowledge or behavior, rather than in accordance with how well they actually measure the construct of lexical diversity. In this article, I review developments that have taken place in lexical diversity research, and also describe obstacles that have prevented it from advancing further. I compare these developments with parallel research on biodiversity in the field of ecology, and show what language researchers can learn from ecology regarding the modeling and measurement of diversity as a multidimensional construct of compositional complexity.
Active sensing for dynamic, non holonomic, robust visual servoing
Venue: 2014 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2014

We consider the problem of visually servoing a legged vehicle with unicycle like nonholonomic constraints subject to second order fore aft dynamics in its horizontal plane. We target applications to rugged environments characterized by complex terrain likely to significantly perturb the robot's nominal dynamics. At the same time, it is crucial that the camera avoid "obstacle" poses where absolute localization would be compromised by even partial loss of landmark visibility. Hence, we seek a controller whose robustness against disturbances and obstacle avoidance capabilities can be assured by a strict global Lyapunov function. Since the nonholonomic constraints preclude smooth point stabilizability we introduce an extra degree of sensory freedom, affixing the camera to an actuated panning axis on the robot's back. Smooth stabilizability to the robot orientation indifferent goal cycle no longer precluded, we construct a controller and strict global Lyapunov function with the desired properties. We implement several versions of the scheme on a RHex robot maneuvering over slippery ground and document its successful empirical performance.
Analisis Kebijakan Penanganan Wabah Covid 19: Pengalaman Indonesia
Year: 2020

This article discusses the efforts of the Indonesian Government in handling the outbreak of Corona Virus Disease 19 (COVID 19) The handling strategies assessed by understanding the efforts, steps, and policies formulated and implemented by the government while the analysis used a deliberative policy analysis approach was used. This approach analyzes the narratives and arguments of the authorities to understand the decision making and policy implementation. The research used a qualitative approach by utilizing descriptive analysis methods. Then the data collection technique used literature studies. The findings found that, first, negative narratives and the slow response of the government. Before COVID 19 approached Indonesia, narratives delivered by the elite government showed that there was no sense of crisis so that it slow down decision making. Second, weak coordination, especially between the central government and regional governments. This asynchronous coordination created uncertain handling for the control of Coronavirus. Third, citizen ignorance or disobey government instruction. The impact is, the handling effort has stalled because it is not supported by the wider community. The combination of these three factors complicates the government's efforts to control the outbreak of COVID 19 in Indonesia.  Indonesia, COVID 19, Coronavirus, Handling, Policy Abstrak Artikel ini mendiskusikan mengenai upaya Pemerintah Indonesia dalam menangani kasus penyebaran virus korona (Corona Virus Disease 19 (COVID 19) Dengan memahami upaya, langkah, dan kebijakan yang diformulasi dan diimplementasikan oleh pemerintah maka dapat dinilai strategi penanganan tersebut. Untuk menganalisis kasus ini, pendekatan deliberative policy analysis digunakan. Pendekatan ini menganalisis narasi dan argumentasi pihak berwenang untuk memahami pembuatan keputusan dan pelaksanaan kebijakan. Penulisan artikel ini menggunakan pendekatan kualitatif dengan memanfaatkan metode deskriptif analisis. Sementara itu, teknik pengumpulan data yang digunakan adalah studi kepustakaan yang memanfaatkan buku, artikel jurnal, surat kabar, berita online, serta website lembaga lembaga otoritatif. Temuan penting dari tulisan ini adalah, pertama, narasi negatif dan lambannya respons pemerintah atas penyebaran COVID 19. Narasi narasi yang disampaikan oleh elite politik sebelum COVID 19 masuk ke Indonesia menunjukkan nihilnya perasaan adanya krisis (sense of crisis) yang mengancam sehingga memperlambat pengambilan keputusan. Kedua, lemahnya koordinasi antar stakeholder, khususnya antara pemerintah pusat dan pemerintah daerah. Ketidaksinkronan koordinasi ini mengakibatkan pengendalian virus korona menjadi terkatung katung. Ketiga, ketidakacuhan atau ketidakpatuhan warga atas himbauan pemerintah. Impaknya, upaya penanganan menjadi tersendat karena tidak didukung oleh masyarakat luas. Kombinasi dari ketiga faktor inilah yang memperumit upaya pemerintah untuk mengendalikan penyebaran COVID 19 di Indonesia.  Indonesia, COVID 19, Virus Korona, Penanganan, Kebijakan
PERENCANAAN PROTOTIPE MENARA PENDINGIN MINI UNTUK ALAT PENUKAR KALOR TIPE PLAT DATAR
Year: 2020

Prototipe Menara Pendingin Mini salah satu alat penukar panas, dimana aliran fluida panas (air) akan dikontak langsung dengan fluida dingin (udara) Dengan menggunakan plat datar tipis sebagai media perpindahan panas yang bertujuan untuk memperluas permukaan perpindahan panas dimana fluida panas mengalir diatas plat dibantu dengan kipas untuk memperlambat laju aliran yang jatuh sehingga dengan memperlambat laju aliran maka energi panas yang hilang lebih besar. Tujuan penelitian ini untuk mengetahui berapa besar laju aliran dan koefisien laju aliran perpindahan panas plat datar. Penelitian ini dilakukan dengan menggunakan metode eksperimen dengan melakukan pengujian langsung pada prototype Mini Cooling Tower dengan menganalisa laju aliran dan koefisien laju aliran perpindahan panas. Laju Aliran 0.5 liter/menit yang diukur dalam interval waktu 5 menit. Dari hasil penelitian ini didapat bahwa laju aliran perpindahan panas plat datar q adalah 5,537 W/m 2 oC dan koefisien laju aliran perpindahan panas plat datar h adalah 8.859W/m 2 oC.Laju perpindahan panas ini masih bisa ditingkatkan dengan memperluas dimensi permukaan plat ataupun dengan menggunakan kipas/fan blower sehingga temperatur yang keluar lebih rendah. Kata kunci Prototipe Menara Pendingin Mini, perpindahan panas, plat datar, air
Refugees, migrants, neither, both: categorical fetishism and the politics of bounding in Europe's 'migration crisis'
Year: 2018

The use of the categories 'refugee' and 'migrant' to differentiate between those on the move and the legitimacy, or otherwise, of their claims to international protection has featured strongly during Europe's 'migration crisis' and has been used to justify policies of exclusion and containment. Drawing on interviews with 215 people who crossed the Mediterranean to Greece in 2015, our paper challenges this 'categorical fetishism' arguing that the dominant categories fail to capture adequately the complex relationship between political, social and economic drivers of migration or their shifting significance for individuals over time and space. As such it builds upon a substantial body of academic literature demonstrating a disjuncture between conceptual and policy categories and the lived experiences of those on the move. However, the paper is also critical of efforts to foreground or privilege 'refugees' over 'migrants' arguing that this reinforces rather than challenges the dichotomy's faulty foundations. Rather those concerned about the use of categories to marginalise and exclude should explicitly engage with the politics of bounding, that is to say, the process by which categories are constructed, the purpose they serve and their consequences, in order to denaturalise their use as a mechanism to distinguish, divide and discriminate.
Estimating Mutual Information for Discrete Continuous Mixtures
Venue: NIPS
Year: 2017

Estimating mutual information from observed samples is a basic primitive, useful in several machine learning tasks including correlation mining, information bottleneck clustering, learning a Chow Liu tree, and conditional independence testing in (causal) graphical models. While mutual information is a well defined quantity in general probability spaces, existing estimators can only handle two special cases of purely discrete or purely continuous pairs of random variables. The main challenge is that these methods first estimate the (differential) entropies of X, Y and the pair (X;Y) and add them up with appropriate signs to get an estimate of the mutual information. These 3H estimators cannot be applied in general mixture spaces, where entropy is not well defined. In this paper, we design a novel estimator for mutual information of discrete continuous mixtures. We prove that the proposed estimator is consistent. We provide numerical experiments suggesting superiority of the proposed estimator compared to other heuristics of adding small continuous noise to all the samples and applying standard estimators tailored for purely continuous variables, and quantizing the samples and applying standard estimators tailored for purely discrete variables. This significantly widens the applicability of mutual information estimation in real world applications, where some variables are discrete, some continuous, and others are a mixture between continuous and discrete components.
Estimating curvatures and their derivatives on meshes of arbitrary topology from sampling directions
Venue: The Visual Computer
Year: 2007

Estimation of local differential geometry properties becomes an important processing step in a variety of applications, ranging from shape analysis and recognition to photorealistic image rendering. This paper presents yet another approach to compute those properties, with comparable numerical and accuracy performances to previous works. The key difference in our approach is simplicity, allowing for direct implementation on the GPU. Experimental results are provided to support our statement.
Economic development and crime in Brazil: a multivariate and spatial analysis
Year: 2019

This paper aimed to analyze the spatial distribution of crime in the 5,565 Brazilian municipalities and to investigate its relationship with local economic development. More specifically, we analyze the presence of spatial dependence and heterogeneity as well as spatial clusters among the municipalities, using Exploratory Spatial Data Analysis (ESDA) and homicide rate as a proxy for crime. Due to the large number of socioeconomic variables identified in the literature as important to explain crime, we created an Economic Development Index (EDI) for Brazilian municipalities that synthesizes all possible influences, using factor analysis from multivariate statistics. We also grouped municipalities with dissimilar crime and economic development characteristics via cluster analysis. The results show that both economic development and crime are spatially concentrated in Brazil, suffering from spatial dependence. In addition, the EDI and crime are negatively associated for most Brazilian municipalities both in spatial and cluster analysis, indicating that economic development is a crime inhibitor. However, there are some municipalities where economic development is not capable of barring crime advancement, which requires special attention by researchers and public agents.
USING GOOGLE FORMS FOR ONLINE LISTENING TEST: DOES IT WORK?
Year: 2020

The major objective of this study was to investigate the use of Google forms in giving listening comprehension test and to know the students' responses toward online test by using Google forms. From this study, it is also hoped that it can provide information to English teachers or lecturers who teach listening subject about how to use Google form and how to upload an audio and video in this online platform. The methodological approach taken in this study was a descriptive qualitative method. Data for this study were collected using observation, students' listening comprehension tests, and open ended questionnaires. The participants of this study were 62 students in one English education program of one university in Bandar Lampung In summary, the results in this study indicate that the students have positive responses toward the use of Google form in the listening comprehension test. It can be seen from their response and their answers to the questionnaire given, the result of observation of using Google forms and the result of their listening comprehension test, the majority of the students got good scores. The average score of the test was 77,74. The median of the score was 80.  Google form s assessment, Listening Comprehension, students' response
DrAcc: a DRAM based Accelerator for Accurate CNN Inference
Venue: 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC)
Year: 2018

Modern Convolutional Neural Networks (CNNs) are computation and memory intensive. Thus it is crucial to develop hardware accelerators to achieve high performance as well as power/energy efficiency on resource limited embedded systems. DRAM based CNN accelerators exhibit great potentials but face inference accuracy and area overhead challenges.In this paper, we propose DrAcc, a novel DRAM based processing in memory CNN accelerator. DrAcc achieves high inference accuracy by implementing a ternary weight network using in DRAM bit operation with simple enhancements. The data partition and mapping strategies can be flexibly configured for the best trade off among performance, power and energy consumption, and DRAM data reuse factors. Our experimental results show that DrAcc achieves 84.8 FPS (frame per second) at 2W and 2.9x power efficiency improvement over the process near memory design.
User Association in Hybrid UAV cellular Networks for Massive Real time IoT Applications
Venue: IEEE INFOCOM 2020 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Year: 2020

5G mobile networks will have to deal simultaneously with three types of traffic: mobile broadband communications, critical communications and Internet of Things (IoT) In this paper, we propose a novel hybrid 5G Fiber Wireless (FiWi) access architecture equipped with Mobile Edge Computing enabled (MEC) macro base stations and investigate its performance. Given the proposed architecture, we aim to solve the user association problem under differentiated Quality of Service (QoS) Indeed, we aim at maximizing the number of the users that are served by the network within their latency constraints, having IoT and haptic applications' requirements in mind. Our approach to solve the user association problem is based on Genetic Algorithms (GA)
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
Venue: 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2019

Many automated processes such as auto piloting rely on a good semantic segmentation as a critical component. To speed up performance, it is common to downsample the input frame. However, this comes at the cost of missed small objects and reduced accuracy at semantic boundaries. To address this problem, we propose a new content adaptive downsampling technique that learns to favor sampling locations near semantic boundaries of target classes. Cost performance analysis shows that our method consistently outperforms the uniform sampling improving balance between accuracy and computational efficiency. Our adaptive sampling gives segmentation with better quality of boundaries and more reliable support for smaller size objects.
In defense of privacy
Year: 2019

There is no shortage of threats to an individual's privacy in the contemporary world. At any time, it is possible for any citizen to be subjected to an invasion of their personal privacy in a number of different ways. In this thesis I outline three differing perspectives from which society can view issues pertaining to individual privacy. Using differing political theories as advocates of each perspective, I analyze the logical results and the effects each perspective has on society at large. Whichever perspective we adopt has great influence over legislative discretion, legal rules, and executive authority when issues of privacy arise. The influence a society has when adopting one perspective of privacy permits and restricts certain government actions. For example, our contemporary perspective of privacy as an interest that is only valuable to the extent that it can be sold, illustrates to authorities that all that is required to invade someone's privacy is sufficient compensation. Through my analysis, I find that the perspective of privacy viewed by the Classical Republican tradition is best in most circumstances, and that it is best for any society to maintain the broadest political view.