nils-herrmann/clean_scirepeval huggingface dataset:
Convolutional neural networks with low rank regularization
Venue: ICLR

Large CNNs have delivered impressive performance in various computer vision applications. But the storage and computation requirements make it problematic for deploying these models on mobile devices. Recently, tensor decompositions have been used for speeding up CNNs. In this paper, we further develop the tensor decomposition technique. We propose a new algorithm for computing the low rank tensor decomposition for removing the redundancy in the convolution kernels. The algorithm finds the exact global optimizer of the decomposition and is more effective than iterative methods. Based on the decomposition, we further propose a new method for training low rank constrained CNNs from scratch. Interestingly, while achieving a significant speedup, sometimes the low rank constrained CNNs delivers significantly better performance than their non constrained counterparts. On the CIFAR 10 dataset, the proposed low rank NIN model achieves $91.31\ accuracy (without data augmentation) which also improves upon state of the art result. We evaluated the proposed method on CIFAR 10 and ILSVRC12 datasets for a variety of modern CNNs, including AlexNet, NIN, VGG and GoogleNet with success. For example, the forward time of VGG 16 is reduced by half while the performance is still comparable. Empirical success suggests that low rank tensor decompositions can be a very useful tool for speeding up large CNNs.
Multiscale Adaptive Representation of Signals: I. The Basic Framework
Venue: J. Mach. Learn. Res.

We introduce a framework for designing multi scale, adaptive, shift invariant frames and bi frames for representing signals. The new framework, called AdaFrame, improves over dictionary learning based techniques in terms of computational efficiency at inference time. It improves classical multi scale basis such as wavelet frames in terms of coding efficiency. It provides an attractive alternative to dictionary learning based techniques for low level signal processing tasks, such as compression and denoising, as well as high level tasks, such as feature extraction for object recognition. Connections with deep convolutional networks are also discussed. In particular, the proposed framework reveals a drawback in the commonly used approach for visualizing the activations of the intermediate layers in convolutional networks, and suggests a natural alternative.
HUBUNGAN JUMLAH HEMATOKRIT DAN TROMBOSIT DENGAN TINGKAT KEPARAHAN PASIEN DEMAM BERDARAH DENGUE DI RUMAH SAKIT SANGLAH TAHUN 2013 2014

Penyakit demam berdarah dengue (DBD) adalah penyakit arboviral pada manusia yangdipandang sebagai permasalahan kesehatan internasional utama bagi negara tropis maupun subtropis. Perbedaan hasil dari penelitian sebelumnya mendorong peneliti untuk menemukan validitas hubungan antara trombosit dan hematokrit dengan derajat keparahan DBD melalui penelitian yang dilakukan pada pasien demam berdarah dengue di rumah sakit Sanglah tahun 2013 2014. Penelitian ini menggunakan rancangan penelitian cross sectional dengan rekam medis sebagai sumber data. Sampel dipilih dengan menggunakan teknik consecutive sampling Berdasarkan gejala klinis dan pemeriksaan fisik didapatkan 50 orang (50% tergolong derajat I, 48 orang (48% tergolong derajat II, 2 orang (2% tergolong derajat III, dan tidak ada dengan derajat IV. Berdasarkan derajat keparahan DBD dengan hematokrit, dari 50 orang diperoleh pasien derajat I dengan HCT normal sebanyak 40 orang (80% hematokrit rendah 3 orang (6% dan hematokrit tinggi sebanyak 7 orang (14% Dari 48 pasien derajatII ditemukan 30 orang (62,5% memiliki hematokrit normal, 4 orang (8,3% dengan hematokrit rendah, dan 14 orang (29,2% dengan hematokrit tinggi.Diantara 2 pasien dengan derajat III ditemukan 1 orang dengan HCT normal (50% dan 1 orang dengan HCT tinggi (50%.Seluruh sampel memiliki nilai trombosit dibawah normal.Dari hasil analisis data dapat disimpulkan bahwa hematokrit (r=0,173; p>0,05) dan trombosit (r 0,117; p>0,05) tidak memiliki hubungan yang bermakna dengan derajat keparahan DBD.
The use of customer centric philosophy in hotels to improve customer loyalty

The purpose of this paper is to study the impact the quality of online and multi channel offers have on perceived value. It is also analyzed whether customer centric management will ensure a greater perceived value and loyalty of the customer for the hotel. The authors analyze its relationship with customer satisfaction, perceived value and switching costs related to hotels with customer centric management.  The sample of the paper are hotel users with Internet access. The authors have obtained 420 valid questionnaires through personal interviews. The statistical methodology used is the causal analysis, using structural equation models.  The empirical results of this paper indicate that by improving the online quality offered by hotels with a personalized online service and an increased efficiency of the service, reducing information asymmetries, search and transaction time and bargaining costs, building loyalty by customization and innovation, the customer perceives more value in the service provided by hotels.  It is analyzed empirically how the customer centric philosophy, a key philosophy for the hotel sector, allows an effective differentiation, greater customer loyalty and, therefore, an increased profitability of the company.
The antecedents of customer satisfaction and dissatisfaction toward various types of hotels: A text mining approach

Customers' online reviews play an important role in generating electronic word of mouth; these reviews serve as an online communication tool that highly influences consumers' demand for hotels. Using latent semantic analysis, which is a text mining approach, we analyze online customer reviews of hotels. We find that the determinants that create either customer satisfaction or dissatisfaction toward hotels are different and are specific to particular types of hotels, including full service hotels, limited service hotels, suite hotels with food and beverage, and suite hotels without food and beverage. Our study provides a clue for hoteliers to enhance customer satisfaction and alleviate customer dissatisfaction by improving service and satisfying the customers' needs for the different types of hotels the hoteliers own.
Verification of Spatial Forecasts of Continuous Meteorological Variables Using Categorical and Object Based Methods

Spatial forecasts from Numerical Weather Prediction (NWP) models of meteorological variables to support Army operations on the battlefield have become an integral part of the products available for the Staff Weather Officer to use in providing mission planning and execution forecasts. These forecasts are ingested by Army tactical decision aids (TDAs) and are fused with information on the operational weather thresholds, which impact the performance of Army systems and missions. The TDA generates spatial forecasts of these impacts for user specified systems and/or missions. This report presents methods to verify forecast fields of meteorological variables that have been filtered by the application of a threshold, the same way as that used by the TDA. A threshold applied to a continuous variable field becomes a categorical forecast for which there are traditional and nontraditional methods for verification. This study evaluates the ability of the NWP model to predict a category of the spatial variable. Preliminary results suggest a combination of a traditional technique for assessing categorical forecasts with a nontraditional object based, forecast evaluation technique has great potential in assessing forecasts of continuous variables that have been filtered by the application of a threshold.
Recent Fast Food Consumption and Bisphenol A and Phthalates Exposures among the U.S. Population in NHANES, 2003 2010
Venue: Environmental health perspectives

Phthalates and bisphenol A (BPA) are widely used industrial chemicals that may adversely impact human health. Human exposure is ubiquitous and can occur through diet, including consumption of processed or packaged food.  To examine associations between recent fast food intake and BPA and urinary metabolites of di(2 ethylhexyl) phthalate (SDEHPm) and diisononyl phthalate (DiNPm) among the U.S. population.  We combined data on 8,877 participants from the National Health and Nutrition Examination Survey (NHANES 2003 2010) Using 24 hr dietary recall data, we quantified: a) fast food intake [percent of total energy intake (TEI) from fast food] b) fast food derived fat intake (percent of TEI from fat in fast food) and c) fast food intake by food group (dairy, eggs, grains, meat, and other) We examined associations between dietary exposures and urinary chemical concentrations using multivariate linear regression.  We observed evidence of a positive, dose response relationship between fast food intake and exposure to phthalates (p trend 0.0001) but not BPA; participants with high consumption 34.9% TEI from fast food) had 23.8% (95% CI: 11.9% 36.9% and 39.0% (95% CI: 21.9% 58.5% higher levels of SDEHPm and DiNPm, respectively, than nonconsumers. Fast food derived fat intake was also positively associated with SDEHPm and DiNPm (p trend 0.0001) After adjusting for other food groups, SDEHPm was associated with grain and other intake, and DiNPm was associated with meat and grain intake.  Fast food may be a source of exposure to DEHP and DiNP. These results, if confirmed, could inform individual and regulatory exposure reduction strategies.  Zota AR, Phillips CA, Mitro SD. 2016. Recent fast food consumption and bisphenol A and phthalates exposures among the U.S. population in NHANES, 2003 2010. Environ Health Perspect 124:1521 1528; http:/dx.doi.org/10.1289/ehp.1510803
Optimal Charging Strategies under Conflicting Objectives for the Protection of Sensitive Areas: A Case Study of the Trans Pennine Corridor

This paper analyses the application of road user charging for the reduction of local pollution in environmentally sensitive areas. The key question is to investigate the interdependencies between the price setting strategies of neighbouring institutions with conflicting objectives and what the optimal strategy would be if environmental considerations are included. The analysis is carried out using a large network case study with two transport sensitive areas of different type in the Trans Pennine corridor: the Peak District National Park, as a sensitive ecosystem and area of high recreational value, and the Sheffield Air Quality Management Area (AQMA) as an area with very high population density. Different combinations of user charging between both areas and the surrounding motorways have been analysed. For each combination, cordon charges and distance based motorway tolls have been determined that optimise the welfare gains under the objectives given in that scenario. The overall welfare of the region would be maximised under a global co operative regulation scenario including all players. However, left to their own devices, the authorities might be tempted to play a Nash game and set the tolls at a level that results in a positive outcome for the local area but reduces the net welfare for the entire network compared to a co ordinated introduction of charges. If motorways are not tolled, overall welfare can even be reduced due to wide diversion of traffic in the area. Regarding environmental impacts, substantial improvements within the sensitive areas and on the motorways for which charges have been applied can be achieved, although the reductions in environmental costs over the case study region are small. In conclusion, a charging instrument can be successful in reducing local environmental problems but implementation in isolation of surrounding areas needs to be avoided.
Motivations of manufacturing reshoring: an interpretative framework

The purpose of this paper is to present a framework for the analysis of reshoring. The framework is then applied to analyze motivations for reshoring, as they emerge from extant literature and from new evidence collected.  The authors start by formulating a literature grounded definition of reshoring and reviewing some key theoretical approaches for international manufacturing location. In light of these theories, the authors then propose an interpretative framework for the analysis of reshoring motivations. Finally, the authors provide new evidence on this phenomenon, by presenting the findings of an extensive data collection of reshoring cases built on secondary data.  The authors show that a vast array of single drivers of reshoring can be extracted from extant literature; however, the interpretative framework eventually highlights four main typologies of reshoring motivations, thus allowing for a more sound comprehension of why the phenomenon happens.
Promoting effective workplace mediation

Initial research on workplace mediation focused on styles and tactics a mediator should use to conduct a successful mediation. Attention has shifted to the question which strategies and tactics are most appropriate and effective given certain mediation situations, organizational circumstances, and dispute as well as disputant characteristics. In response to this, we developed a model that helps mediators to get insight in the characteristics of the environment that affects the mediation process, and to choose the most appropriate mediation interventions: The 3 R model of workplace mediation. This model refers to three dimensions that are important to consider in case of mediation: Regulations, Roles and Relations. Different combinations of these three dimensions determine together the mediation features and the mediation outcomes. In this introductory chapter, the 3 R model of workplace mediation is explained and used to structure the chapters of the handbook. We focus on four main themes: (I) the mediation process, (II) the context of workplace mediation, (III) mediation and other third party roles and (IV) new developments.
Insights into workplace bullying: psychosocial drivers and effective interventions
Venue: Psychology research and behavior management

Research on effectiveness of workplace bullying interventions has lagged behind descriptive studies on this topic. The literature on bullying intervention research has only recently expanded to a point that allows for synthesis of findings across empirical studies. This study addresses the question of whether workplace bullying can be reduced in prevalence and consequences, if so to what extent and by which strategies and interventions. It opens with a brief overview of the nature of bullying at work and discussion of some precursors and existing interventions. However, its principal focus is on the findings obtained from selected (quasi experimental longitudinal studies on antibullying interventions, drawing together the results of studies conducted in Europe, USA, and Australia, including several economic sectors, and concerned about primary, secondary, and tertiary prevention programs and strategies. Additional emphasis is considered from the psychosocial drivers highlighted both from prescriptive and cross sectional studies and factual empirical studies. One randomized control study and seven quasiexperimental longitudinal studies were identified by searching electronic databases and bibliographies and via contact with experts. The majority of outcomes evidenced some level of change, mostly positive, suggesting that workplace bullying interventions are more likely to affect knowledge, attitudes, and self perceptions, but actual bullying behaviors showed much more mixed results. In general, growing effectiveness was stated as the level of intervention increased from primary to tertiary prevention. However, methodological problems relating to the evaluation designs in most studies do not allow direct attribution of these findings to the interventions. Overall, the evaluation of antibullying interventions must flourish and be improved, requiring close cooperation between practitioners and academics to design, implement, and evaluate effective interventions based on grounded theoretical and methodological approaches. Finally, this systematic review highlights future directions for enhancing the adoption, high quality implementation, and dissemination of evidence based workplace bullying prevention and intervention programs.
Are Partial Workplace Smoking Bans as Effective as Complete Smoking Bans? A National Population Based Study of Smoke Free Policy Among Japanese Employees.
Venue: Nicotine tobacco research official journal of the Society for Research on Nicotine and Tobacco

Although complete workplace smoking bans are generally recommended rather than partial bans, the latter are widespread in many countries, especially Japan. Our objective was to compare complete workplace smoking bans and partial bans for associations with employee smoking and secondhand smoke (SHS) related discomfort/ill health. We also evaluated complete bans versus no ban and partial bans versus no ban.  Eleven thousand ninety eligible employees (weighted number: 34 353 241) aged 20 64 years in 2011 (response rate: 62.5% were analyzed using a nationally representative, population based cross sectional study. Adjusted prevalence ratios for self reported current smoking and SHS related discomfort/ill health according to workplace smoke free policies were calculated, using conventional regression and propensity score (PS) weighting (targeting population of average treatment effect among both treated [TET] and untreated [TEU]  Both conventional regressions and PS weighting analyses showed complete bans were significantly associated with lower prevalence of current smoking and perceived SHS related discomfort/ill health among nonsmokers than partial or no ban. In contrast, partial bans were not significantly associated with either outcome compared with no ban. Using several PS trimming levels, we found interesting differences between TET and TEU in a comparison between partial and no ban: that is, significant associations in TET estimations, but none in TEU estimations.  Although complete smoking bans were associated with lower levels of employee smoking and SHS related discomfort/ill health compared with no smoking ban, partial bans were not. Findings from PS weighting of TEU suggest that partial workplace bans may not be any more effective for Japanese employees than no ban. Therefore, complete bans may be strongly recommended for future implementation, but careful interpretation of the data is necessary because of the cross sectional study design.
A multi faceted workplace intervention targeting low back pain was effective for physical work demands and maladaptive pain behaviours, but not for work ability and sickness absence: Stepped wedge cluster randomised trial
Venue: Scandinavian journal of public health

The aims of this study were to test whether a multi faceted intervention effective for low back pain was effective for physical capacity, work demands, maladaptive pain behaviours, work ability and sickness absence due to low back pain.  A stepped wedge cluster randomised, controlled trial with 594 nurses' aides was conducted. The intervention lasted 12 weeks and consisted of physical training (12 sessions) cognitive behavioural training (two sessions) and participatory ergonomics (five sessions) Occupational lifting, fear avoidance, physical exertion, muscle strength, support from management, work ability and sickness absence due to low back pain were measured every 3 months. Before and after the intervention we measured physical capacity, kinesiophobia and need for recovery. Linear mixed models adjusted for baseline values of the outcome were used to estimate the effect.  Significant reduction in occupational lifting 0.35 (95% confidence interval 0.61 to 0.08) and improvement in two measures of fear avoidance 0.75 (95% confidence interval 1.05 to 0.45) and 0.45 (95% confidence interval 0.80 to 0.11) were found for the intervention group compared to the control. There were no significant effects on physical exertion, muscle strength, support from management, work ability or sickness absence due to low back pain. After the intervention, significant increased physical capacity and improvements in kinesiophobia were found, but no change in need for recovery.  The intervention was significantly effective for physical work demands and maladaptive pain behaviours, but not for work ability and sickness absence due to low back pain. To improve work ability or reduce sickness absence due to low back pain more specific interventions should probably be developed.
Research on Parallel KD Tree Construction for Ray Tracing

Many computer graphics rendering algorithms and techniques use ray tracing for generation of photo realistic images, and kd tree is the most popular acceleration data structure for ray tracing. In order to avoid the inefficient parallel performance of kd tree construction based on surface area heuristic (SAH) an algorithm using Morton code and path compression was present in this paper. Instead of building a kd tree layer by layer, the proposed approach can be performed in parallel from bottom of a conceptual perfect binary tree. Experimental results on GPU show that our work achieves a faster kd tree construction procedure.
Banana peels as a biobase catalyst for fatty acid methyl esters production using Napoleon's plume (Bauhinia monandra) seed oil: A process parameters optimization study

The potential of banana peels as a suitable catalyst for conversion of Bauhinia monandra seed oil (BMSO) to fatty acidy methyl ester (FAME) in a transesterification reaction was investigated. The FAME was produced through a two step method of esterification and transesterification. The high free fatty acid (FFA) content of BMSO was reduced in the esterification reaction to less than 1% using reaction conditions of methanol/FFA molar ratio of 46:1, Fe2(SO4)3 of 12 wt. and reaction time of 75 min. The design of experiments (DoE) was applied in the transesterification step to investigate the effect of pertinent process parameters on the yield of BMME (Bauhinia monandra methyl esters) The results showed that BMME, which is consistent with ASTM D 6751 and EN 14214 standards, can be obtained at an optimum yield of 98.5 0.18 wt. using catalyst loading of 2.75 wt. methanol/oil molar ratio of 7.6:1 and reaction time of 69.02 min. FT IR, XRD, SEM and elemental analysis revealed that the catalytic action of banana peels was as a result of the potassium content and the microstructural formation when calcined at 700 degC. The study revealed the possibility of developing heterogeneous catalyst from banana peels for FAME production, which may reduce the overall cost of production.
Accounting and the management of power: Napoleon's occupation of the commune of Ferrara (1796 1799)

This study, which is informed by Foucault's concept of governmentality, identifies the systematic ties between political discourse, forms of rationality and technologies of government during the first period that Napoleon governed Ferrara in northern Italy (1796 99) The study identifies a decoupling between 'political discourses, rhetoric and language' and the use of 'technologies of government' The results enhance understanding of the translation of politics and power into a set of administrative tasks and calculative practices to secure power in modern public sector settings today. In the neo liberal prescriptions for the modern State which demand a much diminished role and presence for the government in the lives of its citizens, societies, organizations and their management are tending to be more and more concerned with surveillance made operable through power.
Humphead (Napoleon) wrasse Cheilinus undulatus trade into and through Hong Kong

The Humphead Wrasse Cheilinus undulatus is a naturally rare coral reef fish species. This study was designed to understand further the regulations in Hong Kong and mainland China, both major consumer markets, for HHW import, re export and domestic sale; as well as the level of implementation of national laws, including inspection and enforcement practices for shipments made between Hong Kong and mainland China.