nils-herrmann/clean_scirepeval huggingface dataset:
A review of discrete time optimization models for tactical production planning
Year: 2014

This study presents a review of optimization models for tactical production planning. The objective of this research is to identify streams and future research directions in this field based on the different classification criteria proposed. The major findings indicate that: (1) the most popular production planning area is master production scheduling with a big bucket time type period; (2) most of the considered limited resources correspond to productive resources and, to a lesser extent, to inventory capacities; (3) the consideration of backlogs, set up times, parallel machines, overtime capacities and network type multisite configuration stand out in terms of extensions; (4) the most widely used modelling approach is linear/integer/mixed integer linear programming solved with exact algorithms, such as branch and bound, in commercial MIP solvers; (5) CPLEX, C and its variants and Lindo/Lingo are the most popular development tools among solvers, programming languages and modelling languages, respectively; (6) most works perform numerical experiments with random created instances, while a small number of works were validated by real world data from industrial firms, of which the most popular are sawmills, wood and furniture, automobile and semiconductors and electronic devices.
ANALISIS PEMBIAYAAN IJARAH MUNTAHIYA BIT TAMLIK DI KSPPS DIRGANTARA SURAKARTA DALAM PERSPEKTIF MAQASID ASY SYARI'AH
Year: 2019

Ijarah Muntahiya Bit Tamlik (IMBT) was legalized by DSN MUI as a legal contract with the terms and conditions in force. IMBT as an alternative to the Sharia scheme to facilitate long term financing in accordance with the type of business of the customer while securing the interests of the bank. However, many Islamic Financial Institutions in Surkarta do not use IMBT agreements. This study examines the concept of IMBT in practice in KSPPS Dirgantara Surakarta by describing two problem formulations: 1) how is the implementation of the IMBT Product contract in KSPPS Dirgantara Surakarta and; 2) What is the perspective of maqasid asy syari'ah about IMBT in KSPPS Dirgantara Surakarta? This research is a field research with a qualitative research approach. The nature of this research is descriptive analytic which is used to describe the practices, processes and dynamics of the IMBT contract in KSPPS Dirgantara and analyzed using the Maqasid asy Syari'ah theoretical framework. The results of this study are: IMBT practices in Dirgantara KSPPS have not fully met maqasid asy syari'ah. Because there is a misalignment between al maqasid al juz`iyyah with al maqasid al 'ammah and al maqasid al khassah both of which have the same goal of how the IMBT contract is the basis of economic development and applies universally, whereas in al maqasid al juz`iyyah tends not to reach the Duafa.
Scientific Medicine in the Time of Cholera: the Johns Hopkins Ethos and US Friendly Power in North China, 1919
Year: 2021

Vashti Bartlett, a Johns Hopkins nurse and member of the American Red Cross Commission to Siberia, was part of a global expansion of United States (US) influence before and after World War I. Through close examination of Bartlett's extensive personal archives and her experiences during a 1919 cholera epidemic in Harbin, North China, we show how an individual could embody a "friendly" or "capillary" form of imperialist US power. Significantly, we identify in Bartlett yet another form that US friendly power could take: scientific medicine. White, wealthy, female, and American, in the context of her international nursing activities Bartlett identified principally as a scientific practitioner trained at Johns Hopkins where she internalized a set of scientific ideals that we associate with a particular "Hopkins ethos." Her overriding scientific identity rendered her a useful and conscientious agent of US friendship policies in China in 1919.
Leveraging the affordances of Youtube: The role of pedagogical knowledge and mental models of technology functions for lesson planning with technology
Venue: Comput. Educ.
Year: 2012

Web based digital video tools enable learners to access video sources in constructive ways. To leverage these affordances teachers need to integrate their knowledge of a technology with their professional knowledge about teaching. We suggest that this is a cognitive process, which is strongly connected to a teacher's mental model of the tool's affordances. First we elaborate the theoretical integration of the notion of mental models and the Technological Pedagogical Content Knowledge (TPCK) framework. Then we report on a study where we investigated pedagogical knowledge in a sample of German pre service teachers as a predictor for their mental models of YouTube and how these affect lesson plans for instructional use of this technology. We describe the active mental models of YouTube and present quantitative analyses suggesting mental models as mediators for the influence of pedagogical knowledge on participants' lesson planning. Results are discussed with regard to theoretical and research implications.
Study of Essential Oil from Malaysian Curry Leaves
Year: 2014

Essential oils of Murraya koengii or commonly known as curry leaves' obtained from curry trees grown in the local area of Malaysia was studied. Conventional hydro distillation process was used to extract the oil from the leaves. The highest yield from the extraction is to be at 0.22% for 9 hours of extraction time. The analysis was performed using GC MS which detects the presence of 30 different components, majorly hydrocarbons. The result shows the existing of alpha pinene and beta myrcene that provides insight to the potential of using the oil as active ingredients for natural based insect repellent.
Primary effects of extracellular enzyme activity and microbial community on carbon and nitrogen mineralization in estuarine and tidal wetlands
Venue: Applied Microbiology and Biotechnology
Year: 2014

Estuarine and tidal wetlands with high primary productivity and biological activity play a crucial role in coastal nutrient dynamics. Here, to better reveal the effects of extracellular enzymes and microbial community on carbon (C) and nitrogen (N) mineralization, the incubation experiments with different C and N addition patterns to the tidal sediments of the Yangtze Estuary (China) were conducted. The results suggested a significant increase in cumulative CO2 effluxes in the C and CN treatment experiments, while no significant difference in cumulative CO2 effluxes between the N treatment and control (CK) experiments was observed. In addition, the nutrient addition patterns had a great influence on dissolve organic C and N levels, but a small effect on microbial biomass C and N. Microbial community composition and microbial activity were found to be positively correlated with organic C (OC) and the molar ratio of C to N (C/N) Partial correlation analysis, controlling for C/N, supported direct effects of OC on the activity of carbon cycling extracellular enzymes (cellulase and polyphenol oxidase) while C/N exhibited negatively correlations with urease and Gram positive bacteria to Gram negative bacteria (G+/G Strong relationships were found between CO2 efflux and mineral nitrogen with the activity of specific enzymes (sucrase, cellulase, and polyphenol oxidase) and abundances of Gram negative bacteria, arbuscular mycorrhizal fungi, and fungi, suggesting the significant influences of microbial community and enzyme activity on C and N mineralization in the estuarine and tidal wetlands. Furthermore, this study could highlight the need to explore effects of nutrient supply on microbial communities and enzyme activity changes associated with the C and N mineralization in these wetlands induced by the climate change.
Testing the Reasoning Power for NLI Models with Annotated Multi perspective Entailment Dataset
Venue: CCL
Year: 2019

Natural language inference (NLI) is a challenging task to determine the relationship between a pair of sentences. Existing Neural Network based (NN based) models have achieved prominent success. However, rare models are interpretable. In this paper, we propose a Multi perspective Entailment Category Labeling System (METALs) It consists of three categories, ten sub categories. We manually annotate 3,368 entailment items. The annotated data is used to explain the recognition ability of four NN based models at a fine grained level. The experimental results show that all the models have poor performance in the commonsense reasoning than in other entailment categories. The highest accuracy difference is 13.22%
Bangla Handwritten Basic Character Recognition Using Deep Convolutional Neural Network
Venue: 2019 Joint 8th International Conference on Informatics, Electronics Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision Pattern Recognition (icIVPR)
Year: 2019

Bangla is one of the mostly spoken languages all over the world, nonetheless, efforts on Bangla handwritten character recognition is not adequate. The use of Deep Convolutional Neural Network (DCNN) based classifiers has become a triumph over the state of art machine learning techniques. Using DCNN model to classify Bangla isolated basic characters can provide better output because of its ability to detect many hidden features from an image. In this paper, a new DCNN model, namely, BBCNet 15 is proposed for Bangla handwritten basic character recognition. the proposed model consists of 6 convolution layers, 6 max pooling layers, 2 fully connected layers followed by the softmax output unit. To avoid overfitting dropout regularization technique is used. The implementation of the proposed DCNN model is evaluated on a benchmark dataset, CMATERdb 3.1.2 which contains 50 character classes including 39 consonants and 11 vowels. The experimental evaluation of BBCNet 15 on the dataset provides a recognition accuracy of 96.40% which outperforms some prominent techniques in existence.
Cognitive Cost of Using Augmented Reality Displays
Venue: IEEE Transactions on Visualization and Computer Graphics
Year: 2017

This paper presents the results of two cognitive load studies comparing three augmented reality display technologies: spatial augmented reality, the optical see through Microsoft HoloLens, and the video see through Samsung Gear VR. In particular, the two experiments focused on isolating the cognitive load cost of receiving instructions for a button pressing procedural task. The studies employed a self assessment cognitive load methodology, as well as an additional dual task cognitive load methodology. The results showed that spatial augmented reality led to increased performance and reduced cognitive load. Additionally, it was discovered that a limited field of view can introduce increased cognitive load requirements. The findings suggest that some of the inherent restrictions of head mounted displays materialize as increased user cognitive load.
La tecnologia como recurso de suspenso en el thriller psicologico actual.
Year: 2017

Recerca centrada a determinar si la tecnologia, en especific l'internet, s'ha tornat un actor principal en el thriller psicologic actual. Per a aixo es va fer una analisi de contingut de tres peces audiovisuals: Les pel*licules "The Ring"(2002) "Ratter"(2015 i el curtmetratge "Skypemare"(2013) S'inclou tambe un breu recorregut a traves de la historia del thriller psicologic i de la fobia tecnologica al cinema.
Asymmetric Two Stream Architecture for Accurate RGB D Saliency Detection
Venue: ECCV
Year: 2020

Most existing RGB D saliency detection methods adopt symmetric two stream architectures for learning discriminative RGB and depth representations. In fact, there is another level of ambiguity that is often overlooked: if RGB and depth data are necessary to fit into the same network. In this paper, we propose an asymmetric two stream architecture taking account of the inherent differences between RGB and depth data for saliency detection. First, we design a flow ladder module (FLM) for the RGB stream to fully extract global and local information while maintaining the saliency details. This is achieved by constructing four detail transfer branches, each of which preserves the detail information and receives global location information from representations of other vertical parallel branches in an evolutionary way. Second, we propose a novel depth attention module (DAM) to ensure depth features with high discriminative power in location and spatial structure being effectively utilized when combined with RGB features in challenging scenes. The depth features can also discriminatively guide the RGB features via our proposed DAM to precisely locate the salient objects. Extensive experiments demonstrate that our method achieves superior performance over 13 state of the art RGB D approaches on the 7 datasets. Our code will be publicly available.
Masking Salient Object Detection, a Mask Region Based Convolutional Neural Network Analysis for Segmentation of Salient Objects
Venue: 2019 Latin American Robotics Symposium (LARS) 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE)
Year: 2019

In this paper, we propose a broad comparison between Fully Convolutional Networks (FCNs) and Mask Region based Convolutional Neural Networks (Mask RCNNs) applied in the Salient Object Detection (SOD) context. Studies in the SOD literature usually explore architectures based in FCNs to detect salient regions and objects in visual scenes. However, besides the promising results achieved, FCNs showed issues in some challenging scenarios. Fairly recently studies in the SOD literature proposed the use of a Mask RCNN approach to overcome such issues. However, there is no extensive comparison between the two networks in the SOD literature endorsing the effectiveness of Mask RCNNs over FCN when segmenting salient objects. Aiming to effectively show the superiority of Mask RCNNs over FCNs in the SOD context, we compare two variations of Mask RCNNs with two variations of FCNs in eight datasets widely used in the literature and in four metrics. Our findings show that in this context Mask RCNNs achieved an improvement on the F measure up to 47% over FCNs.
Pengaruh Current Ratio, Debt To Equity Ratio dan Return On Equity Terhadap Harga Saham (Studi Pada PT. Lippo Cikarang, Tbk Periode 2014 2019)
Year: 2020

Penelitian dilakukan dengan menggunakan metode deskriptif dan verifikatif, yaitu: mengumpulkan, menyajikan, menganalisis, dan melakukan pengujian hipotesis, serta membuat kesimpulan dan saran. Sampel dikumpulkan menggunakan metode Purposive Sampling menggunakan 24 data keuangan dari laporan keuangan PT. Lippo Cikarang, Tbk dari selama periode 2014 2019. Teknik analisis data menggunakan teknik Analisis Regresi Linier Berganda dan Analisis Koefisien Determinasi. Adapun hasil penelitian menyatakan bahwa CR, DER dan ROE berpengaruh terhadap Harga Saham PT. Lippo Cikarang, Tbk selama periode 2014 2019 sebesar 61,8%
A metacognitive model of self esteem.
Venue: Journal of affective disorders
Year: 2019

In the current study, we aimed to test a metacognitive model of self esteem grounded in the Self Regulatory Executive Function model of psychopathology.  A convenience sample of 346 community participants were recruited and completed a battery of online questionnaires that measured self esteem, self criticism, self critical rumination, metacognitions about self critical rumination, generic metacognitions and negative affect. Initially, we tested a series of hypotheses to establish the relationships between the study variables. We then conducted a path analysis to test a metacognitive model of self esteem, where the process of self critical rumination and its associated metacognitive beliefs was hypothesized to mediate the relationship between affect and self esteem.  Self critical rumination and its associated negative metacognitions, levels of depression and self criticism independently predicted self esteem. However, the multicollinearity between rumination and metacognitions suggests that one might not exist without the other. Additionally, a path analysis revealed that the study data was a very good fit to the proposed metacognitive model of self esteem.  The metacognitive model of self esteem presented in this paper may be used to generate novel interventions to improve self esteem and decrease self critical rumination.
Does label smoothing mitigate label noise?
Venue: ICML
Year: 2020

Label smoothing is commonly used in training deep learning models, wherein one hot training labels are mixed with uniform label vectors. Empirically, smoothing has been shown to improve both predictive performance and model calibration. In this paper, we study whether label smoothing is also effective as a means of coping with label noise. While label smoothing apparently amplifies this problem being equivalent to injecting symmetric noise to the labels we show how it relates to a general family of loss correction techniques from the label noise literature. Building on this connection, we show that label smoothing is competitive with loss correction under label noise. Further, we show that when distilling models from noisy data, label smoothing of the teacher is beneficial; this is in contrast to recent findings for noise free problems, and sheds further light on settings where label smoothing is beneficial.
Quality Control of Photosystem II: The Mechanisms for Avoidance and Tolerance of Light and Heat Stresses are Closely Linked to Membrane Fluidity of the Thylakoids
Venue: Front. Plant Sci.
Year: 2016

When oxygenic photosynthetic organisms are exposed to excessive light and/or heat, Photosystem II is damaged and electron transport is blocked. In these events, reactive oxygen species, endogenous radicals and lipid peroxidation products generated by photochemical reaction and/or heat cause the damage. Regarding light stress, plants first dissipate excessive light energy captured by light harvesting chlorophyll protein complexes as heat to avoid the hazards, but once light stress is unavoidable, they tolerate the stress by concentrating damage in a particular protein in photosystem II, i.e. the reaction center binding D1 protein of Photosystem II. The damaged D1 is removed by specific proteases and replaced with a new copy produced through de novo synthesis (reversible photoinhibition) When light intensity becomes extremely high, irreversible aggregation of D1 occurs and thereby D1 turnover is prevented. Once the aggregated products accumulate in Photosystem II complexes, removal of them by proteases is difficult, and irreversible inhibition of Photosystem II takes place (irreversible photoinhibition) Important is that various aspects of both the reversible and irreversible photoinhibition are highly dependent on the membrane fluidity of the thylakoids. Heat stress induced inactivation of photosystem II is an irreversible process, which may be also affected by the fluidity of the thylakoid membranes. Here I describe why the membrane fluidity is a key to regulate the avoidance and tolerance of Photosystem II on environmental stresses.
The Valuation of No Negative Equity Guarantees and Equity Release Mortgages
Year: 2019

We outline the valuation process for a No Negative Equity Guarantee in an Equity Release Mortgage loan and for an Equity Release Mortgage that has such a guarantee. Illustrative valuations are provided based on the Black '76 put pricing formula and mortality projections based on the M5, M6 and M7 mortality versions of the Cairns Blake Dowd (CBD) family of mortality models. Results indicate that the valuations of No Negative Equity Guarantees are high relative to loan amounts and subject to considerable model risk but that the valuations of Equity Release Mortgage loans are robust to the choice of mortality model. Results have significant ramifications for industry practice and prudential regulation.
A short review: Potential use of plastic waste as adsorbent for various pollutants
Year: 2019

This paper reviews on the performance of different plastic waste as value added adsorbent under different environmental pollution. As adsorbent, it should tender the uppermost rates of pollutant removal, cost effective and easy to obtain. The first part of this paper discussed on the concept of adsorption process. Since adsorbents assortment is the key for adsorption study, the adsorption of dissimilar types of pollutants by different kind of plastic waste as an adsorbent are then reviewed in the following part. The use of different plastic waste of various types includes plastic carrier bag, coffee cup, plastic container and food packaging which are made from polystyrene, polypropylene, polyethylene terephthalate, high density polyethylene, polyvinyl chloride and low density polyethylene are highlighted in this paper. The advantageous of each plastic waste as adsorbent are discussed. It was found that they possess most excellent performance on the potential adsorption of pollutants in various environmental pollutants. It is believed that using of plastic waste not only provides a novel potential way to utilize waste plastics, but also put forward a facile sustainable approach in remediating environment pollution.This paper reviews on the performance of different plastic waste as value added adsorbent under different environmental pollution. As adsorbent, it should tender the uppermost rates of pollutant removal, cost effective and easy to obtain. The first part of this paper discussed on the concept of adsorption process. Since adsorbents assortment is the key for adsorption study, the adsorption of dissimilar types of pollutants by different kind of plastic waste as an adsorbent are then reviewed in the following part. The use of different plastic waste of various types includes plastic carrier bag, coffee cup, plastic container and food packaging which are made from polystyrene, polypropylene, polyethylene terephthalate, high density polyethylene, polyvinyl chloride and low density polyethylene are highlighted in this paper. The advantageous of each plastic waste as adsorbent are discussed. It was found that they possess most excellent performance on the potential adsorption of pollutants in various environment.