nils-herrmann/clean_scirepeval huggingface dataset:
Context Based Maintenance and Repair Shop Suggestion for a Moving Vehicle

Maintenance of moving vehicles is quite challenging because they may disrupt the normal flow of transportation due to unexpected breakdowns, slowdowns and stoppages. In order to avoid stoppages and to minimize the downtime, maintenance and condition monitoring systems must be optimized. On one hand the condition monitoring on board should provide automatic failure detection, identification and localization together with a prognostic of the future failures. On the other hand maintenance logistics and product supportability must be also optimized since the onboard system should provide a suggestion of a repair shop that depends on location, cost and availability of spare parts, technicians' skills and queuing time for repairs. However the vehicles are independent assets interacting among them within the traffic system and also interacting with the infrastructure (roads, rails etc. seriously affected by weather, maintenance of infra, regulations etc. Therefore the proposed solution is to equip the vehicles with a context aware system that monitors the condition and maintenance schedules of parts and alarm the driver of the parts that are in near to repair cycle. This system will perform risk analysis and will communicate with the cloud propose a decision of selection of repair shop on the location and path of vehicle depending on weather, road and traffic, cost and availability of spare parts at respective repair shops based on risk assessment and prediction. The information contained in the cloud will also communicate the workshop that will book time slot and block the necessary spare parts for the coming vehicle minimizing waiting time. This mechanism will help in reducing unexpected stoppages, vehicle degradation and efficient spare parts management combining in a successful way the workload of the workshops from both natural sources, the time based inspections and repairs together with the reactive maintenance coming from unexpected breakdown.
'Reconnaissance' et 'reparation' des troubles psychiques de guerre le point de vue des patients. Partie 1 analyse lexicale du discours de 15 militaires blesses psychiques de guerre

Le Service de Sante des Armees continue de developper des plans d'action concernant les troubles psychiques post traumatiques de guerre et, parallelement, plusieurs administrations ont deploye des moyens visant a l'amelioration du soutien des militaires psychotraumatises. Si les troubles psychiques de guerre ont fait l'objet de nombreux travaux epidemiologiques, cliniques et therapeutiques, nous n'avons pas retrouve d'etudes referencees evaluant la perception des actions medicales et sociales du point de vue des blesses. Objectifs L'objectif de cette recherche est d'explorer le discours des militaires francais souffrant d'etat de stress post traumatique imputable au service, concernant la 'reconnaissance' et la 'reparation' de leur trouble par la societe. Materiel et methodes Nous avons mene une etude exploratoire qualitative a partir de 15 entretiens semi directifs afin de realiser une analyse lexicale du discours grace au logiciel ALCESTE(c) L'enqueteur suivait une trame d'entretien concue specifiquement pour aborder les thematiques de la 'reparation' et de la 'reconnaissance' Ces entretiens semi directifs s'appuyaient sur des questions ouvertes avec incitation a la relance de l'expression. Resultats Sur le fond et sur la forme, le discours des militaires blesses consultes evoque la clinique du trauma marquee par l'indicibilite, la repetition et les affects depressifs. La 'reparation' semble etre pour eux avant tout une restauration psychique, ou du moins un apaisement, qui prend la voie de l'acces aux soins. La perception d'indemnites pecuniaires est releguee au second plan, apres une reconstruction psychologique et sociale. Alors que le signifiant certes juridique mais aux accents reifiants de 'reparation' a ete globalement recuse au profit de celui de 'reconstruction' les patients acceptent volontiers l'aide qui leur est offerte dans le champ des soins medico psychologiques et de la readaptation professionnelle.  Si nous avons degage des generalites dans ce travail de recherche, les entretiens et les analyses textuelles ont mis en lumiere que le cheminement de chaque situation clinique particuliere est subtil. Les soins medico psychologiques comme les autres aides doivent etre adaptes ou crees sur mesure. Toute situation reste ainsi singuliere, chaque patient pouvant se saisir, en fonction de son parcours et de ses aspirations, des aides possibles. [resume d'auteur]
Palaeoproteomic evidence identifies archaic hominins associated with the Chatelperronian at the Grotte du Renne
Venue: Proceedings of the National Academy of Sciences

The displacement of Neandertals by anatomically modern humans (AMHs) 50,000 40,000 y ago in Europe has considerable biological and behavioral implications. The Chatelperronian at the Grotte du Renne (France) takes a central role in models explaining the transition, but the association of hominin fossils at this site with the Chatelperronian is debated. Here we identify additional hominin specimens at the site through proteomic zooarchaeology by mass spectrometry screening and obtain molecular (ancient DNA, ancient proteins) and chronometric data to demonstrate that these represent Neandertals that date to the Chatelperronian. The identification of an amino acid sequence specific to a clade within the genus Homo demonstrates the potential of palaeoproteomic analysis in the study of hominin taxonomy in the Late Pleistocene and warrants further exploration. In Western Europe, the Middle to Upper Paleolithic transition is associated with the disappearance of Neandertals and the spread of anatomically modern humans (AMHs) Current chronological, behavioral, and biological models of this transitional period hinge on the Chatelperronian technocomplex. At the site of the Grotte du Renne, Arcy sur Cure, morphological Neandertal specimens are not directly dated but are contextually associated with the Chatelperronian, which contains bone points and beads. The association between Neandertals and this "transitional" assemblage has been controversial because of the lack either of a direct hominin radiocarbon date or of molecular confirmation of the Neandertal affiliation. Here we provide further evidence for a Neandertal Chatelperronian association at the Grotte du Renne through biomolecular and chronological analysis. We identified 28 additional hominin specimens through zooarchaeology by mass spectrometry (ZooMS) screening of morphologically uninformative bone specimens from Chatelperronian layers at the Grotte du Renne. Next, we obtain an ancient hominin bone proteome through liquid chromatography MS/MS analysis and error tolerant amino acid sequence analysis. Analysis of this palaeoproteome allows us to provide phylogenetic and physiological information on these ancient hominin specimens. We distinguish Late Pleistocene clades within the genus Homo based on ancient protein evidence through the identification of an archaic derived amino acid sequence for the collagen type X, alpha 1 (COL10a1) protein. We support this by obtaining ancient mtDNA sequences, which indicate a Neandertal ancestry for these specimens. Direct accelerator mass spectometry radiocarbon dating and Bayesian modeling confirm that the hominin specimens date to the Chatelperronian at the Grotte du Renne.
Customer relationship management: An approach to competitive advantage in the banking sector by exploring the mediational role of loyalty

The purpose of this paper is to develop a comprehensive integrated model which helps in explaining the impact of Customer Relationship Management (CRM) dimensions (complaint resolution, customer knowledge, customer empowerment and customer orientation) on customer loyalty and competitive advantage of a bank. The study also explores the mediating role of customer loyalty in the relationship between CRM and competitive advantage in retail banking.  The research is based on a theoretical model which consists of four CRM dimensions and two exogenous variables. These have been used for establishing the hypotheses to analyze relationships between the variables constituting the CRM model. The data have been collected from 278 customers of a private bank. The data were analyzed using structural equation modeling (SEM) The scale was developed and purified through factor analysis (exploratory and confirmatory factor analysis) SEM was then used to examine the causal relationships and "model fit" of the proposed model.  The results provide evidence that the four CRM dimensions have a positive effect on customer loyalty and competitive advantage of the bank. Among the CRM dimensions, customer knowledge is most influential of all the dimensions. Furthermore, customer loyalty acts as the mediator in the CRM model between CRM and competitive advantage.  Since, the study involved a single bank and therefore the results should be generalized cautiously. Only four CRM variables were included in the study; additional variables can be introduced in further studies involving different contexts.  The study highlights and supports the need for mangers to devote additional resources toward developing a better CRM system. Therefore, mangers need to think beyond the technological aspects and should focus on these four dimensions, especially customer knowledge, to enhance the loyalty and competitiveness.  The paper investigated hitherto unexplored relationships between customer centric CRM dimensions instrumental in providing competitive advantage to a bank through mediational analysis. Thus, it contributes to the information on the implementation of CRM practices valuable for banking sector.
TSC DL: Unsupervised trajectory segmentation of multi modal surgical demonstrations with Deep Learning
Venue: 2016 IEEE International Conference on Robotics and Automation (ICRA)

The growth of robot assisted minimally invasive surgery has led to sizable datasets of fixed camera video and kinematic recordings of surgical subtasks. Segmentation of these trajectories into locally similar contiguous sections can facilitate learning from demonstrations, skill assessment, and salvaging good segments from otherwise inconsistent demonstrations. Manual, or supervised, segmentation can be prone to error and impractical for large datasets. We present Transition State Clustering with Deep Learning (TSC DL) a new unsupervised algorithm that leverages video and kinematic data for task level segmentation, and finds regions of the visual feature space that correlate with transition events using features constructed from layers of pre trained image classification Deep Convolutional Neural Networks (CNNs) We report results on three datasets comparing Deep Learning architectures (AlexNet and VGG) choice of convolutional layer, dimensionality reduction techniques, visual encoding, and the use of Scale Invariant Feature Transforms (SIFT) We find that the deep architectures extract features that result in up to a 30.4% improvement in Silhouette Score (a measure of cluster tightness) over the traditional "shallow" features from SIFT. We also present cases where TSC DL discovers human annotator omissions.
Longitudinal modeling of appearance and shape and its potential for clinical use
Venue: Medical Image Anal.

Clinical assessment routinely uses terms such as development, growth trajectory, degeneration, disease progression, recovery or prediction. This terminology inherently carries the aspect of dynamic processes, suggesting that single measurements in time and cross sectional comparison may not sufficiently describe spatiotemporal changes. In view of medical imaging, such tasks encourage subject specific longitudinal imaging. Whereas follow up, monitoring and prediction are natural tasks in clinical diagnosis of disease progression and of assessment of therapeutic intervention, translation of methodologies for calculation of temporal profiles from longitudinal data to clinical routine still requires significant research and development efforts. Rapid advances in image acquisition technology with significantly reduced acquisition times and with increase of patient comfort favor repeated imaging over the observation period. In view of serial imaging ranging over multiple years, image acquisition faces the challenging issue of scanner standardization and calibration which is crucial for successful spatiotemporal analysis. Longitudinal 3D data, represented as 4D images, capture time varying anatomy and function. Such data benefits from dedicated analysis methods and tools that make use of the inherent correlation and causality of repeated acquisitions of the same subject. Availability of such data spawned progress in the development of advanced 4D image analysis methodologies that carry the notion of linear and nonlinear regression, now applied to complex, high dimensional data such as images, image derived shapes and structures, or a combination thereof. This paper provides examples of recently developed analysis methodologies for 4D image data, primarily focusing on progress in areas of core expertise of the authors. These include spatiotemporal shape modeling and growth trajectories of white matter fiber tracts demonstrated with examples from ongoing longitudinal clinical neuroimaging studies such as analysis of early brain growth in subjects at risk for mental illness and neurodegeneration in Huntington's disease (HD) We will discuss broader aspects of current limitations and need for future research in view of data consistency and analysis methodologies.
In memoriam: Oleg Shishkin
Venue: Structural Chemistry

More that a year has passed since Oleg Shishkin's tragic and unexpected death. Oleg was one of the most internationally respected younger generation chemists of Ukraine. Science was for Oleg the leading star that showed him the way through life. That way was not always direct. It was sometimes twisting. A craving for knowledge made Oleg more and more excited and gave him the force to work almost around the clock. His unique ability to percept something new behind well known facts and patterns became his 'distinguishing mark. He was lucky to have wonderful teachers, tutors and colleagues. Oleg made his first steps as a scientist in Kharkiv National University. In 1990 he defended the diploma work entitled 'Molecular and crystal structure of dihydroazopyrimides. Those direction research into molecular and crystal structure of organic compounds became a source of inexhaustible cognition for him. Oleg's formation as a scientist was made possible largely due to his constant communication with his tutors, colleagues and friends from Kharkiv scientific school studying heterocyclic compounds. Sergey Desenko, Oleg's tutor during the period of preparing the Ph.D. thesis, has become his close lifetime friend. He helped Oleg to realize his ambition to make research into the molecule structure at the Laboratory for X ray Diffraction Studies of A.N. Nesmeyanov Institute of Organoelement Compounds of Russian Academy of Sciences founded by Yu. Struchkov. This worldwide known center became Oleg Shishkin's main scientific cradle. Professors Y. Struchkov, S. Lindeman, M. Antipin helped Oleg not only to acquire knowledge and experience of the X ray structural analysis but also to trust his own scientific intuition. Also during his stay at A.N. Nesmeyanov Institute of Organoelement Compounds Oleg spent half a year at Nottingham University. In 1997 Oleg got the invitation from Prof. Seminozhenko to organize and lead his own laboratory in Kharkiv Institute for Single Crystals. As a real scientist Oleg could not resist such a temptation and returned to Ukraine. He was organizing the laboratory step by step with excitement, diligence and firmness of purpose intrinsic to his personality. And it all resulted in the laboratory that joined the approaches of X ray diffraction study and computational chemistry. In 1999 he defended the dissertation entitled 'Molecular structure and conformational analysis of six membered dihydrocycles' and obtained Dr. Sci. degree. Scientific business trips to Jackson State University (USA) resulted in tight scientific collaboration with the Center for Molecular Structure and Interactions leaded by Prof. J. Leszczynski. This cooperation gave the series of outstanding publications. It also helped to formulate the final conception of the laboratory as the Ukrainian center for X ray diffraction study and computational chemistry. This center joined experimental and theoretical approach to the molecule analysis. The peak of this joining up was the joint Biannually International Conference 'Methods and Leonid Gorb lgorb@icnanotox.org
Nurse Doctor Relationship in Rwanda: A Questionnaire Survey

As it is evident in literature review, the working relationship between nurses and doctors was dominant subservient relationship in the ancient days and the studies show that this working relationship is still influenced by this template. However, even if this patriarchal relationship still exists, many nurses in these days do not want to continue the same game, they want to be independent in their profession. This change is not accepted by doctors who want to continue their dominant role; they are complaining that nurses are no longer obedient. This becomes the origin of doctor nurse disagreements in their interaction in many hospitals and this influence the health care of patients. The study had three objectives: to identify the factors that can affect the nurse doctor working relationships in a selected Hospital in Rwanda, to determine the causes of disputes and to find out the power relations between nurses and doctors within the Hospital management structures.  A quantitative descriptive study was conducted. The target population comprised 80 people working at the selected hospital. The non probability convenience sampling was used to choose the sample size of 60 participants. Aself report questionnaire was used for data collection and data were analyzed using descriptive statistics and were presented in tables and graphs.  The majority of respondents have agreed that there are a number of factors contributing to misunderstandings and conflicts between nurses and doctors at the area of study. The existence of disputes is mostly caused by the behaviour of doctors who consider themselves as superiors. The results have revealed also that the hospital management do not treat with the same respect the doctors and nurses.  The findings revealed that lack of respect and consideration to others bring the conflicts, disputes and misunderstandings between doctors and nurses. Nurses who participated in the study advised that doctors should recognize nurses and respect them as independent professionals.
The co morbidity of depression and other chronic non communicable diseases: a review of literature on the epidemiology, diagnosis and health effects

Non communicable diseases are the most common causes of death worldwide. Alongside mortality, noncommunicable diseases also cause high rates of morbidity and disability. The common comorbidity issues of depression worldwide are not a rare occurrence and as depression is chronic in nature it would double or even triple these health threats.  This paper highlights the epidemiology of the comorbidity of depression as a chronic non communicable disease, highlighting the health effects of depression and examines specialized tools used to identify depression in patients.  This literature search included the following computerized databases: MEDLINE, Academic Search Premier, Nexus, EBSCOhost, and CINAHL to review articles published from 1991 to 2012. The reviewed articles were quantitative and data were analysed using mostly different versions of SPSS(r) statistical package.  Worldwide established tools were utilized to identify depression in patients with non communicable diseases. The validated tools include Beck's Depression Inventory, the Patient Health Questionnaire and the Hospital Anxiety and Depression Scale. The prevalence of depression was found to be significantly higher in those with chronic non communicable diseases in all regions of the world. The health effects of depression found in literature review included a high morbidity and mortality, as well as increased health costs.  Significantly higher depression among patients with chronic NCDs suggests that regular screening of depression in this population is warranted. Likewise, the use of validated tool for assessment of depression is essential.  Depression, Non communicable diseases, comorbidity of depression and non communicable diseases, detection of comorbidity
The Comorbidity of Depression and other Chronic Non communicable Diseases A review of literature on the epidemiology diagnosis and health effects

Non communicable diseases are the most common causes of death worldwide. Alongside mortality, noncommunicable diseases also cause high rates of morbidity and disability. The common comorbidity issues of depression worldwide are not a rare occurrence and as depression is chronic in nature it would double or even triple these health threats.  This paper highlights the epidemiology of the comorbidity of depression as a chronic non communicable disease, highlighting the health effects of depression and examines specialized tools used to identify depression in patients.  This literature search included the following computerized databases: MEDLINE, Academic Search Premier, Nexus, EBSCOhost, and CINAHL to review articles published from 1991 to 2012. The reviewed articles were quantitative and data were analysed using mostly different versions of SPSS(r) statistical package.  Worldwide established tools were utilized to identify depression in patients with non communicable diseases. The validated tools include Beck's Depression Inventory, the Patient Health Questionnaire and the Hospital Anxiety and Depression Scale. The prevalence of depression was found to be significantly higher in those with chronic non communicable diseases in all regions of the world. The health effects of depression found in literature review included a high morbidity and mortality, as well as increased health costs.  Significantly higher depression among patients with chronic NCDs suggests that regular screening of depression in this population is warranted. Likewise, the use of validated tool for assessment of depression is essential. Corresponding author, email: k.mukeshimana4@ur.ac.rw
The 2016 revision of the World Health Organization classification of lymphoid neoplasms.
Venue: Blood

A revision of the nearly 8 year old World Health Organization classification of the lymphoid neoplasms and the accompanying monograph is being published. It reflects a consensus among hematopathologists, geneticists, and clinicians regarding both updates to current entities as well as the addition of a limited number of new provisional entities. The revision clarifies the diagnosis and management of lesions at the very early stages of lymphomagenesis, refines the diagnostic criteria for some entities, details the expanding genetic/molecular landscape of numerous lymphoid neoplasms and their clinical correlates, and refers to investigations leading to more targeted therapeutic strategies. The major changes are reviewed with an emphasis on the most important advances in our understanding that impact our diagnostic approach, clinical expectations, and therapeutic strategies for the lymphoid neoplasms.