nils-herrmann/clean_scirepeval huggingface dataset:
Diagnostic Value of Cerebrospinal Fluid Biomarkers (Phospho Tau181, total Tau, Ab42, and Ab40) in Prodromal Stage of Alzheimer's Disease and Dementia with Lewy Bodies.
Venue: Journal of Alzheimer's disease JAD

Dementia with Lewy bodies (DLB) symptoms are close to those of Alzheimer's disease (AD) and the differential diagnosis is difficult especially early in the disease. Unfortunately, AD biomarkers in cerebrospinal fluid (CSF) and more particularly Ab1 42, appear to be altered in dementia with Lewy bodies (DLB) However, the level of these biomarkers has never been studied in the prodromal stage of the disease.  To compare these biomarkers between DLB and AD, with a particular focus on the prodromal stage.  A total of 166 CSF samples were collected at the memory clinic of Strasbourg. They were obtained from prodromal DLB (pro DLB) DLB dementia, prodromal AD (pro AD) and AD dementia patients, and elderly controls. Phospho Tau181, total Tau, Ab42, and Ab40 were measured in the CSF.  At the prodromal stage, contrary to AD patients, DLB patients' biomarker levels in the CSF were not altered. At the demented stage of DLB, Ab42 levels were reduced as well as Ab40 levels. Thus, the Ab42/Ab40 ratio remained unchanged between the prodromal and demented stages, contrary to what was observed in AD. Tau and Phospho Tau181 levels were unaltered in DLB patients.  We have shown that at the prodromal stage the DLB patients had no pathological profile. Consequently, CSF AD biomarkers are extremely useful for differentiating AD from DLB patients particularly at this stage when the clinical diagnosis is difficult. Thus, these results open up new perspectives on the interpretation of AD biomarkers in DLB.
Factors influencing willingness to accept different waste management policies: empirical evidence from the European Union

Improving waste management strategies with more collaborative participation and responsibility of different public and private agents is a matter of increasing concern for academia and policy makers. Based on data from 28 European countries, the present study, unlike other previous studies analyzing the influence of individual drivers for waste generation or recycling, evaluates different options for waste management: government based, "fair" consumer and producer responsibility. For this, the influence of individual and socio demographic characteristics (age, gender, education level and occupational status) contextual variables (rural or urban, country of origin) and the environmental awareness of 23,976 individuals are considered. Being a woman, being well educated, having a good job and living in a rural or small town increase the probability of being a fair consumer, while men and people living in a large town are more willing to entrust this responsibility to firms. The government based solution is only chosen by low educated people. Finally, individuals with the highest environmental awareness and effort prefer to pay, while those who are less environmentally conscious prefer government action. The findings show that factors explaining individual acceptance of these different waste management policies (WMP) are essential for implementing proactive and preventive approaches to enhance responsibility and involvement of all stakeholder groups (consumers, firms and institutions)
Charging optimization for electric vehicles in large Park Ride areas
Venue: 2016 IEEE Power and Energy Society General Meeting (PESGM)

Smart mobility can be achieved through the logistic and energy optimization of multimodal transportation systems where electric vehicles (EVs) play an important role. Suitable locations to realize this integration are suburbs of metropolitan areas of large cities where Park Ride (P&R) facilities permit public transport connections with private mobility. The paper presents the application of a linear programming optimization algorithm to a P&R equipped with charging stations. The initial state of charge of every EV and the park occupancy have been randomly selected according to real mobility scenarios. Thus, the effectiveness of the algorithm has been tested comparing the obtained optimal load profile of the P&R facility with the non optimal one. It has been proved that the maximum power requested by the P&R can be dramatically reduced by optimizing the recharge. This leads to a downsizing of the distribution devices (e.g. power transformer) and a significant increase in efficiency.
A Speed Control for the Reduction of the Shift Shocks in Electric Vehicles with a Two Speed AMT

In the present paper, a speed control algorithm with fast response characteristics is proposed to reduce the shift shock of medium/large sized electric vehicles equipped with a two speed AMT. Shift shocks, which are closely related with to the vehicles' ride comfort, occur due to the difference between the speed of the motor shaft and the load shaft when the gear is engaged. The proposed speed control method for shift shock reduction can quickly synchronize speeds occurring due to differences in the gear ratios during speed shifts in AMT systems by speed command feed forward compensation and a state feedback controller. As a result, efficient shift results without any shift shock can be obtained. The proposed speed control method was applied to a 9 m long medium sized electric bus to demonstrate the validity through a simulated analysis and experiments.
In Store Promotional Mix and the Effects on Female Consumer Buying Decisions in Relation to Cosmetic Products

This study was conducted to ascertain the relationship between the females' in store purchasing decision process and the promotional mix. Two cosmetic salesmen groups were interviewed by using focus group interview technique to understand females' buying decision process with in store promotional mix. The results indicated that females with buying intention will improve the effectiveness of in store promotional strategies. The purchase behavior stimulated by in store promotions was related to customers' emotional motivation. Finally, different in store promotional activities would induce different psychological feelings.
Feature Model Interfaces: The Highway to Compositional Analyses of Highly Configurable Systems
Venue: 2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE)

Today's software systems are often customizable by means of load time or compile time configuration options. These options are typically not independent and their dependencies can be specified by means of feature models. As many industrial systems contain thousands of options, the maintenance and utilization of feature models is a challenge for all stakeholders. In the last two decades, numerous approaches have been presented to support stakeholders in analyzing feature models. Such analyses are commonly reduced to satisfiability problems, which suffer from the growing number of options. While first attempts have been made to decompose feature models into smaller parts, they still require to compose all parts for analysis. We propose the concept of a feature model interface that only consists of a subset of features, typically selected by experts, and hides all other features and dependencies. Based on a formalization of feature model interfaces, we prove compositionality properties. We evaluate feature model interfaces using a three month history of an industrial feature model from the automotive domain with 18,616 features. Our results indicate performance benefits especially under evolution as often only parts of the feature model need to be analyzed again.
A phylogenetic latent feature model for clonal deconvolution

Tumours develop in an evolutionary process, in which the accumulation of mutations produces subpopulations of cells with distinct mutational profiles, called clones. This process leads to the genetic heterogeneity widely observed in tumour sequencing data, but identifying the genotypes and frequencies of the different clones is still a major challenge. Here, we present Cloe, a phylogenetic latent feature model to deconvolute tumour sequencing data into a set of related genotypes. Our approach extends latent feature models by placing the features as nodes in a latent tree. The resulting model can capture both the acquisition and the loss of mutations, as well as episodes of convergent evolution. We establish the validity of Cloe on synthetic data and assess its performance on controlled biological data, comparing our reconstructions to those of several published state of the art methods. We show that our method provides highly accurate reconstructions and identifies the number of clones, their genotypes and frequencies even at a modest sequencing depth. As a proof of concept we apply our model to clinical data from three cases with chronic lymphocytic leukaemia, and one case with acute myeloid leukaemia.
Comparing algorithms for efficient feature model slicing
Venue: SPLC

Feature models are a well known concept to represent variability in software product lines by defining features and their dependencies. During feature model evolution, for information hiding, and for feature model analyses, it is often necessary to remove certain features from a model. As the crude deletion of features can have undesirable effects on their dependencies, dependency preserving algorithms, known as feature model slicing, have been proposed. However, current algorithms do not perform well when removing a high number of features from large feature models. Therefore, we propose an efficient algorithm for feature model slicing based on logical resolution and the minimization of logical formulas. We empirically evaluate the scalability of our algorithm on a number of feature models and find that our algorithm generally outperforms existing algorithms.
Integrating urban ecosystem sustainability assessment into policy making: insights from the Gold Coast City

This paper introduces a policy making support tool called 'Micro level Urban ecosystem Sustainability IndeX (MUSIX) The index serves as a sustainability assessment model that monitors six aspects of urban ecosystems hydrology, ecology, pollution, location, design, and efficiency based on parcel scale indicators. This index is applied in a case study investigation in the Gold Coast City, Queensland, Australia. The outcomes reveal that there are major environmental problems caused by increased impervious surfaces from growing urban development in the study area. The findings suggest that increased impervious surfaces are linked to increased surface runoff, car dependency, transport related pollution, poor public transport accessibility, and unsustainable built environment. This paper presents how the MUSIX outputs can be used to guide policy making through the evaluation of existing policies.
Using Disambiguated Word embeddings for Exploiting Similarities among Languages for Machine Translation

Neural distributed word representations have proven useful in Natural Language Processing and serve as the core underlying method for many NLP tasks. In this work we try to eliminate one of the shortcoming of word representation, by introducing disambiguated word representations and then extend them to build better translation dictionaries by exploiting the similarities between word representations of different languages. We experiment with different mapping functions (linear and nonlinear) for converting the word representations from one language to another. We test our approach by translating words from French to English. Our work is the direct extension of Rocher et al.  Mikolov et al.  and Trask et al.  Our method makes little assumption about the languages, and can be extended and improving translation tables for any language pairs.
A STUDY ON ETHICAL ISSUES IN ADVERTISING AND ANALYZING DIFFERENT UNETHICAL ADVERTISEMENTS WITH RESULTS OF ASCI DECISIONS: AN INDIAN PERSPECTIVE

The focus of this paper is to study the ethical issues that arise in print and television advertising and also analyzing the various types of unethical advertisement in India with reference to ASCI principles. Today the India's advertising industry is expanding its business at a rapid rate. India's advertising industry in very little time has carved a niche for itself and placed itself on a global map. But over the years advertising and marketing communication messages have created debatable ethical issues like surrogate advertising, puffery, unverified claims, women stereotype, comparative advertising, use of children in advertising etc. In today's competitive market, advertisers are sometimes following the unethical practices to fight the competition. We have analyzed with the help of examples the different unethical practices used by advertisers in advertisements in India and also discussed some real life cases solved by CCC (Consumer complaint council) following the necessary ASCI Codes for it.
A Global Constraint for Mining Sequential Patterns with GAP Constraint
Venue: CPAIOR

Sequential pattern mining (SPM) under gap constraint is a challenging task. Many efficient specialized methods have been developed but they are all suffering from a lack of genericity. The Constraint Programming (CP) approaches are not so effective because of the size of their encodings. In  we have proposed the global constraint Prefix Projection for SPM which remedies to this drawback. However, this global constraint cannot be directly extended to support gap constraint. In this paper, we propose the global constraint GAP SEQ enabling to handle SPM with or without gap constraint. GAP SEQ relies on the principle of right pattern extensions. Experiments show that our approach clearly outperforms both CP approaches and the state of the art cSpade method on large datasets.
In the Name of the Public: Environmental Protest and the Changing Landscape of Popular Contention in China
Venue: The China Journal

Since the mid 2000s, China has experienced a wave of large environmental protests against major economic development projects. Based on both interviews and documentary sources, this article examines four prominent cases and identifies four innovations in China's popular politics: broadened protest constituencies, mobilization for public goods, a proactive strategy to prevent government projects, and a mutual reinforcement of street mobilization and policy advocacy. These new traits of popular resistance have also begun to appear outside of the environmental arena. The way was paved for these innovations by transformations in the public sphere, a relative decrease in the risk of protest participation, and development of the environmental NGO sector. Although the new repertoire of contention appears in only some of China's abundant protests, it is becoming more widespread and in some cases influences government policy. Recent environmental protests may well stand at the forefront of broader changes in the landscape of Chinese sociopolitical activism and contentious politics.
Contention Free Execution of Automotive Applications on a Clustered Many Core Platform
Venue: 2016 28th Euromicro Conference on Real Time Systems (ECRTS)

Next generations of compute intensive real time applications in automotive systems will require more powerful computing platforms. One promising power efficient solution for such applications is to use clustered many core architectures. However, ensuring that real time requirements are satisfied in the presence of contention in shared resources, such as memories, remains an open issue. This work presents a novel contention free execution framework to execute automotive applications on such platforms. Privatization of memory banks together with defined access phases to shared memory resources is the backbone of the framework. An Integer Linear Programming (ILP) formulation is presented to find the optimal time triggered schedule for the on core execution as well as for the access to shared memory. Additionally a heuristic solution is presented that generates the schedule in a fraction of the time required by the ILP. Extensive evaluations show that the proposed heuristic performs only 0.5% away from the optimal solution while it outperforms a baseline heuristic by 67% The applicability of the approach to industrially sized problems is demonstrated in a case study of a software for Engine Management Systems.
Scalable Revocation Scheme for Anonymous Credentials Based on n times Unlinkable Proofs
Venue: WPES@CCS

We propose the first verifier local revocation scheme for privacy enhancing attribute based credentials (PABCs) that is practically usable in large scale applications, such as national eID cards, public transportation and physical access control systems. By using our revocation scheme together with existing PABCs, it is possible to prove attribute ownership in constant time and verify the proof and the revocation status in the time logarithmic in the number of revoked users, independently of the number of all valid users in the system. Proofs can be efficiently generated using only offline constrained devices, such as existing smart cards. These features are achieved by using a new construction called $n$ times unlinkable proofs. We show the full cryptographic description of the scheme, prove its security, discuss parameters influencing scalability and provide details on implementation aspects. As a side result of independent interest, we design a more efficient proof of knowledge of weak Boneh Boyen signatures, that does not require any pairing computation on the prover side.
FeltRadio: Sensing and Making Sense of Wireless Traffic
Venue: Conference on Designing Interactive Systems

Radio waves surround us but still they remain largely undetected by our senses. Unless we use specifically tuned hardware, such as FM radios, cell phones or WiFi modems, human beings cannot perceive wirelessly transmitted data. This paper presents FeltRadio, a portable and wireless technology that makes it possible to turn radio signals into visual and tactile stimuli as a form of sensorial augmentation. FeltRadio explores and makes us reflect upon what it would be like if we could sense, and feel, wireless traffic such as WiFi or Bluetooth. We present the technological design behind FeltRadio and the outcome of two exploratory studies with the technology focused on people's experience of being able to suddenly sense and make sense of wireless traffic. We discuss the possible qualities of this embodied experience of FeltRadio and point to future experiments with the technology.
Testing the alleged superiority of the indulgent parenting style among Spanish adolescents.
Venue: Psicothema

While international studies have reported the superiority of the authoritative style (which combines parental involvement with demandingness) some studies in Spain and in other countries have found that the indulgent style (involvement without demandingness) might be just as good or even better. This study aims to discern whether the differences are cultural or methodological. METHOD 306 adolescents from high schools in Madrid and Valencia (Spain) answered a questionnaire that included two parenting style instruments (SOC 30 and PSI) together with a self esteem scale (AF5) and a question on academic performance.  Concordance between the two instruments assessing parenting styles was poor. When associating parenting styles (according to the SOC 30) with outcomes (self esteem and academic achievement) results were similar to previous studies in Spain. But if we use the PSI, results were similar to studies in Anglophone countries: the authoritative style achieved the best outcomes.  The discrepancies found between studies carried out in Spain and in Anglophone countries do not seem to be due to differences between cultures, but to methodological differences (i.e. differences between the instruments used) If we use the same instruments that were used in Anglophone countries, the most effective parenting style is still the authoritative.
Implementing the unfeasible compulsory HIV testing for alleged sexual offenders

Since being approved by both the National Assembly and the National Council of Provinces, it seems likely that the provisions on compulsory HIV testing of alleged sexual offenders will soon be enacted as part of the new Criminal Law (Sexual Offences and Related Matters) Amendment Bill. Whereas an earlier article (see SA Crime Quarterly 20, 2007) questioned the constitutionality of the provisions, this commentary focuses on the implementation challenges of compulsory HIV testing. Despite good intentions, these provisions will not actually be useful for rape complainants. Instead, the potential exists that rape complainants will be endangered and criminalised. Another concern is the feasibility of compulsory HIV testing, which will place an overwhelming burden on the police, who have neither the resources nor the training to provide such services.
Research on Bit Level Digital Image Encryption Algorithm Based on Logistic Chaotic System

A bit level digital image encryption method based on Logistic chaotic system is proposed. Each pixel value of a grayscale image uses eight bit binary numbers, and the two dimensional gray image is converted to a one dimensional string containing 0 and 1. We generate the Logistic chaotic sequence with the given initial value, and then sort the chaotic sequence to obtain a location index. According to the location index, the original image is scrambled in bit level. The pixels fusion and pixel scrambling encryption of an image are realized simultaneously. Experiments show that the algorithm is simple, safe and efficient.
Cognitive Alexithymia Mediates the Association Between Avoidant Attachment and Interpersonal Problems in Patients With Somatoform Disorder
Venue: The Journal of psychology

Patients with somatoform disorder (SFD) are characterized by the presence of chronic physical complaints that are not fully explained by a general medical condition or another mental disorder. Insecure attachment patterns are common in this patient group, which are often associated with interpersonal difficulties. In the present study, the mediational role of two types of alexithymia and negative affectivity (NA) was examined in the association between attachment styles and interpersonal problems in a group of 120 patients with SFD. Patients were requested to fill out several self report questionnaires for the assessment of attachment strategies, alexithymia, NA, and interpersonal problems. Cognitive alexithymia (i.e. the inability to identify and verbalize emotions) mediated the relationship between avoidant attachment patterns and interpersonal problems, even after controlling for NA. Preliminary findings also suggested that NA acted as a moderator of the mediator cognitive alexithymia. These results have important implications for clinical practice, as this study clearly shows that interpersonal problems do not automatically follow from insecure attachment strategies, but are contingent upon alexithymic features. It is recommended to target alexithymic features in patients with SFD, particularly in the context of negative emotions. Therefore, cognitive alexithymia may be an important therapeutic focus, specifically in the treatment of avoidant ptients with SFD.