nils-herrmann/clean_scirepeval huggingface dataset:
Colonialsim ' s Role in the Success of the Filipino Skin Whitening Industry

In the Philippines and other developing countries, the skin whitening industry is prolific and expanding among native populations. However, this desire for white skin has dire health repercussions, both physical and psychological. Many researchers in the field of Filipino-American psychology attribute this desire for whiter skin to the American colonial rule of the Philippines, which began in 1898 and lasted for nearly fifty years. Historians often characterize the American occupation as cruel and demeaning, leading to colonial mentality that has continued into the post-colonial era. As a result, in order to ameliorate this dilemma, one must explore how the internalized oppression and psychological state of the Filipino people caused by America’s previous colonial rule of the Philippines contributes to the success of the Filipino skin whitening industry. To research this question, historical journal articles that contextualize the American treatment of the Filipino people are utilized, in order to explore possible motives for occupying the Philippines. Articles in the field of Filipino-American psychology are also studied, thus exploring the psychological health of Filipinos and Filipino-Americans in relation to colonial rule. Articles in the field of history and sociology show the relationship between colonialism and skin whitening, both in the Philippines and in other countries. To explore other possible contributing factors, in the field of psychology and sociology are utilized. The success of the Filipino Skin Whitening Industry is greatly attributed to the damaged psychological state of the native people brought on by American colonial rule. This can be attributed to the mistreatment of the native population, and the subsequent development of internalized oppression, colonial mentality, and an ingrained preference for white skin. However, contemporary factors may also contribute to the industry’s success, such as the phenomenon of “cosmopolitan whiteness,” and Filipino-Americans’ tendency to conform to popular culture. Although colonialism plays a significant role in the success of the skin whitening industry, it is possible that many other factors come into play. As a result, it is imperative to explore colonial mentality more thoroughly, as well as its mental health implications. In addition, it would be valuable to explore the ways in which internalized oppression can be combated, thus decreasing the need for the skin whitening industry.
Web Page Design: Implications of Memory, Structure and Scent for Information Retrieval

ABSTNACT Much is known about depth and breadth tradeoff issues in graphical user interface menu design. We describe an experiment to see if large breadth and decreased depth is preferable, both subjectively and via performance data, while attempting to design for optimal scent throughout different structures of a website. A study is reported which modified previous procedures for investigating depth/breadth tradeoffs in content design for the web. Results showed that, while increased depth did harm search performance on the web, a medium condition of depth and breadth outperformed the broadesf shallow web structure overall.
Who are these people ? ” Evaluating the demographic characteristics and political preferences of MTurk survey respondents

As Amazon’s Mechanical Turk (MTurk) has surged in popularity throughout political science, scholars have increasingly challenged the external validity of inferences made drawing upon MTurk samples. At workshops and conferences experimental and survey-based researchers hear questions about the demographic characteristics, political preferences, occupation, and geographic location of MTurk respondents. In this paper we answer these questions and present a number of novel results. By introducing a new benchmark comparison for MTurk surveys, the Cooperative Congressional Election Survey, we compare the joint distributions of age, gender, and race among MTurk respondents within the United States. In addition, we compare political, occupational, and geographical information about respondents from MTurk and CCES. Throughout the paper we show several ways that political scientists can use the strengths of MTurk to attract respondents with specific characteristics of interest to best answer their substantive research questions.
Sharing Personal Content Online: Exploring Channel Choice and Multi-Channel Behaviors

People share personal content online with varied audiences, as part of tasks ranging from conversational-style content sharing to collaborative activities. We use an interview- and diary-based study to explore: 1) what factors impact channel choice for sharing with particular audiences; and 2) what behavioral patterns emerge from the ability to combine or switch between channels. We find that in the context of different tasks, participants match channel features to selective-sharing and other task-based needs, shaped by recipient attributes and communication dynamics. Participants also combine multiple channels to create composite sharing features or reach broader audiences when one channel is insufficient. We discuss design implications of these channel dynamics.
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge

We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.
ROBUST CYLINDER FITTING IN THREE-DIMENSIONAL POINT CLOUD DATA

This paper investigates the problems of cylinder fitting in laser scanning three-dimensional Point Cloud Data (PCD). Most existing methods require full cylinder data, do not study the presence of outliers, and are not statistically robust. But especially mobile laser scanning often has incomplete data, as street poles for example are only scanned from the road. Moreover, existence of outliers is common. Outliers may occur as random or systematic errors, and may be scattered and/or clustered. In this paper, we present a statistically robust cylinder fitting algorithm for PCD that combines Robust Principal Component Analysis (RPCA) with robust regression. Robust principal components as obtained by RPCA allow estimating cylinder directions more accurately, and an existing efficient circle fitting algorithm following robust regression principles, properly fit cylinder. We demonstrate the performance of the proposed method on artificial and real PCD. Results show that the proposed method provides more accurate and robust results: (i) in the presence of noise and high percentage of outliers, (ii) for incomplete as well as complete data, (iii) for small and large number of points, and (iv) for different sizes of radius. On 1000 simulated quarter cylinders of 1m radius with 10% outliers a PCA based method fit cylinders with a radius of on average 3.63meter (m); the proposed method on the other hand fit cylinders of on average 1.02 m radius. The algorithm has potential in applications such as fitting cylindrical (e.g., light and traffic) poles, diameter at breast height estimation for trees, and building and bridge information modelling.
Overview of Electric Turbocharger and Supercharger for Downsized Internal Combustion Engines

Forced induction uses otherwise wasted exhaust gases to improve the volumetric efficiency of an engine allowing for higher thermodynamic efficiency. As the fuel economy and greenhouse gas emission standards are projected to be much more stringent globally, the use of a forced induction engine in passenger cars and light duty trucks has become a new trend in automotive industry. The aerodynamic matching of an exhaust driven turbocharger is a compromise of transient response at low exhaust energy levels and power targets on high. The trend toward highly boosted downsized engines results in larger aerodynamic matches compromising responsiveness on the low side, known as turbo lag. The electrification of FIS [electric FIS (EFIS)] has emerged as a feasible solution, and it also possesses numerous benefits depending on its topologies. This paper provides a comprehensive study on the EFIS by investigating system level topologies, performance, various types of high-speed machines, power electronics, and control techniques. The advantages and disadvantages of existing EFIS are summarized, and the new challenges and opportunities are also introduced.
Quantitative Evaluation of DC Microgrids Availability: Effects of System Architecture and Converter Topology Design Choices

This paper presents a quantitative method to evaluate dc microgrids availability by identifying and calculating minimum cut sets occurrence probability for different microgrid architectures and converter topologies. Hence, it provides planners with an essential tool to evaluate downtime costs and decide technology deployments based on quantitative risk assessments by allowing to compare the effect that converter topologies and microgrid architecture choices have on availability. Conventional architectures with single-input converters and alternative configurations with multiple-input converters (MICs) are considered. Calculations yield that all microgrid configurations except those utilizing center converters achieve similar availability of 6-nines. Three converter topologies are used as representatives of many other circuits. These three benchmark circuits are the boost, the isolated SEPIC (ISEPIC), and the current-source half-bridge. Marginal availability differences are observed for different circuit topology choices, although architectures with MICs are more sensitive to this choice. MICs and, in particular, the ISEPIC, are identified as good compromise options for dc microgrids source interfaces. The analysis also models availability influence of local energy storage, both in batteries and generators' fuel. These models provide a quantitative way of comparing dc microgrids with conventional backup energy systems. Calculations based on widely accepted data in industry supports the analysis.
Resume Parser: Semi-structured Chinese Document Analysis

Semi-structured Chinese document anlysis is the most diffcult task for complex structure and Chinese semantics. According to the generic characteristics of the semi-structured document and the specific characteristics of the resume document, the paper researched on resume document block anlysis based on pattern matching, multi-level information identification and feedback control algorithms was also prompted. Based on the research, Resume Parser system was implemented for ChinaHR, which is the biggest recruitment website. It can read, analysis, retrieval and store the information automatically. According to all kinds of experienments results, the accuracy and efficiency of this system can generally satisfy the practical requirements. As the research on the processing of the semi-structured document, it will not only be as a directive of the further research on the resume analysis, but also be as the reference to other form of the semi-structured document.
Brain functional activity during gait in normal subjects: a SPECT study

The purpose of this study was to evaluate changes in brain activity during voluntary walking in normal subjects using technetium-99m-hexamethyl-propyleneamine oxime single photon emission computed tomography. This study included 14 normal subjects. Statistical parametric mapping analysis revealed that the supplementary motor area, medial primary sensorimotor area, the striatum, the cerebellar vermis and the visual cortex were activated. These results suggested that the cerebral cortices controlling motor functions, visual cortex, basal ganglia and the cerebellum might be involved in the bipedal locomotor activities in humans.
The Magma Algebra System I: The User Language

Magma is a new software system for computational algebra, the design of which is based on the twin concepts of algebraic structure and morphism. The design is intended to provide a mathematically rigorous environment for computing with algebraic structures (groups, rings, fields, modules and algebras), geometric structures (varieties, special curves) and combinatorial structures (graphs, designs and codes). The philosophy underlying the design of Magma is based on concepts from Universal Algebra and Category Theory. Key ideas from these two areas provide the basis for a general scheme for the specification and representation of mathematical structures. The user language includes three important groups of constructors that realize the philosophy in syntactic terms: structure constructors, map constructors and set constructors. The utility of Magma as a mathematical tool derives from the combination of its language with an extensive kernel of highly efficient C implementations of the fundamental algorithms for most branches of computational algebra. In this paper we outline the philosophy of the Magma design and show how it may be used to develop an algebraic programming paradigm for language design. In a second paper we will show how our design philosophy allows us to realize natural computational “environments” for different branches of algebra. An early discussion of the design of Magma may be found in Butler and Cannon (1989, 1990). A terse overview of the language together with a discussion of some of the implementation issues may be found in Bosma et al. (1994).
Examining the critical success factors in the adoption of enterprise resource planning

This paper presents a literature review of the critical success factors (CSFs) in the implementation of enterprise resource planning (ERP) across 10 different countries/regions. The review covers journals, conference proceedings, doctoral dissertation, and textbooks from these 10 different countries/regions. Through a review of the literature, 18 CSFs were identified, with more than 80 sub-factors, for the successful implementation of ERP. The findings of our study reveal that ‘appropriate business and IT legacy systems’, ‘business plan/vision/goals/justification’, ‘business process reengineering’, ‘change management culture and programme’, ‘communication’, ‘ERP teamwork and composition’, ‘monitoring and evaluation of performance’, ‘project champion’, ‘project management’, ‘software/system development, testing and troubleshooting’, ‘top management support’, ‘data management’, ‘ERP strategy and implementation methodology’, ‘ERP vendor’, ‘organizational characteristics’, ‘fit between ERP and business/process’, ‘national culture’ and ‘country-related functional requirement’ were the commonly extracted factors across these 10 countries/regions. In these 18 CSFs, ‘top management support’ and ‘training and education’ were the most frequently cited as the critical factors to the successful implementation of ERP systems.
Location Privacy Violation via GPS-Agnostic Smart Phone Car Tracking

Smart phones nowadays are equipped with global positioning systems (GPS) chips to enable navigation and location-based services. A malicious app with the access to GPS data can easily track the person who carries the smart phone. People may disable the GPS module and turn it on only when necessary to protect their location privacy. However, in this paper, we demonstrate that an attacker is still able to track a person by using the embedded magnetometer sensor in victim's smart phone, even when the GPS module is disabled all the time. Moreover, this attack neither requests user permissions related to locations for installation, nor does its operation rely on wireless signals like WiFi positioning or suffer from signal propagation loss. Only the angles of a car's turning measured by the magnetometer sensor of a driver's smart phone are utilized. Without loss of generality, we focus on car tracking, since cars are popular transportation tools in developed countries, where smart phones are commonly used. Inspired by the intuition that a car may exhibit different turning angles at different road intersections, we find that an attacker can match car turning angles to a map to infer the actual path that the driver takes. We address technical challenges about car turn angle extraction, map database construction, and path matching algorithm design to make this attack practical and efficient. We also perform an evaluation using real-world driving paths to verify the relationship between the numbers of turns and the time cost of the matching algorithm. The results show that it is possible for attacker to precisely pinpoint the actual path when the driving path includes 11 turns or more. More simulations are performed to demonstrate the attack with lager selected local areas.
Ecological momentary assessment.

Assessment in clinical psychology typically relies on global retrospective self-reports collected at research or clinic visits, which are limited by recall bias and are not well suited to address how behavior changes over time and across contexts. Ecological momentary assessment (EMA) involves repeated sampling of subjects' current behaviors and experiences in real time, in subjects' natural environments. EMA aims to minimize recall bias, maximize ecological validity, and allow study of microprocesses that influence behavior in real-world contexts. EMA studies assess particular events in subjects' lives or assess subjects at periodic intervals, often by random time sampling, using technologies ranging from written diaries and telephones to electronic diaries and physiological sensors. We discuss the rationale for EMA, EMA designs, methodological and practical issues, and comparisons of EMA and recall data. EMA holds unique promise to advance the science and practice of clinical psychology by shedding light on the dynamics of behavior in real-world settings.
Conceptions of the Transition to Adulthood : Perspectives From Adolescence Through Midlife

Conceptions of the transition to adulthood were examined among adolescents (age 13–19, N 171), emerging adults (age 20–29, N 179), and young-to-midlife adults (age 30–55, N 165). The focus was on whether conceptions of the transition to adulthood would be different among young-to-midlife adults compared to the younger age groups. In all age groups, individualistic criteria were the most likely to be considered important markers of the transition to adulthood, specifically accepting responsibility for one’s actions, deciding on one’s beliefs and values, establishing an equal relationship with parents, and becoming financially independent. However, young-to-midlife adults were less likely than adolescents to consider biological transitions to be important, and more likely than adolescents or emerging adults to view norm compliance (such as avoiding drunk driving) as a necessary part of the transition to adulthood. In all three groups, role transitions (e.g., marriage) ranked lowest in importance.
Designing A Virtual Empowerment Mobile App for the Blinds

The Virtual Empowerment App for the Blinds is an empowerment mobile application for the blind. It is developed based on the modules of the existing Latihan Maya Kejayaan Orang Kurang Upaya app, which was intended to empower persons with physical disabilities. As the requirements of persons with physical disabilities greatly differ from that of vision disabilities, this study aims to develop an app that would help blind users to navigate the module of Latihan Maya Kejayaan OKU by themselves based on the requirements observed from the blind users. An interface design to develop a functional and practical app for the blinds is proposed. A comparison between different gesture platforms was also compared. Three tests were conducted, namely the preliminary testing, pilot testing and final testing to analyze the interaction of users when using the app. Results suggested that the extended app developed based on the design proposed in this study were easily navigated and adapted by persons with vision disabilities.
A novel activation function for multilayer feed-forward neural networks

Traditional activation functions such as hyperbolic tangent and logistic sigmoid have seen frequent use historically in artificial neural networks. However, nowadays, in practice, they have fallen out of favor, undoubtedly due to the gap in performance observed in recognition and classification tasks when compared to their well-known counterparts such as rectified linear or maxout. In this paper, we introduce a simple, new type of activation function for multilayer feed-forward architectures. Unlike other approaches where new activation functions have been designed by discarding many of the mainstays of traditional activation function design, our proposed function relies on them and therefore shares most of the properties found in traditional activation functions. Nevertheless, our activation function differs from traditional activation functions on two major points: its asymptote and global extremum. Defining a function which enjoys the property of having a global maximum and minimum, turned out to be critical during our design-process since we believe it is one of the main reasons behind the gap observed in performance between traditional activation functions and their recently introduced counterparts. We evaluate the effectiveness of the proposed activation function on four commonly used datasets, namely, MNIST, CIFAR-10, CIFAR-100, and the Pang and Lee’s movie review. Experimental results demonstrate that the proposed function can effectively be applied across various datasets where our accuracy, given the same network topology, is competitive with the state-of-the-art. In particular, the proposed activation function outperforms the state-of-the-art methods on the MNIST dataset.
Detection of transmission line-fault through CWT based Bewley lattice diagram

Any sudden change in power line produces high frequency electromagnetic impulse called travelling wave (TW). Continuous Wavelet Transform (CWT) can detect transmission line abnormalities. CWT has several advantages over Discrete Wavelet Transform (DWT) since CWT is continuous in terms of shifting and it can operate on any scale. Bewley's lattice method, which is a method of detection of fault location from TW, does not consider the noises and interferences. Noises and interferences modify the TW signals. In this paper a novel CWT based Bewley's lattice method of transmission lines-fault detection is presented. The main difference between the conventional CWT method and the method described in this paper is the accumulation of CWT coefficients at all scales. In the proposed method, the coefficients related to transmission line abnormalities are enlarged while the coefficients of noises at different scales counteract one another. The proposed CWT based Bewley's lattice method is more accurate than conventional Bewley's lattice or DWT/CWT based methods.