nils-herrmann/clean_scirepeval huggingface dataset:
Developing a Strength and Conditioning Technical Framework: An Example From a Canoe Slalom National Performance Program
Year: 2020

Canoe slalom requires technical ability, well developed energetics, a high level of maximum force production, and range of movement to perform a variety of complex paddle stokes, while maneuvering through a challenging whitewater course. The strength and conditioning (S&C) coach should provide strategic direction across a network or department including S&C coaches working toward identified outcomes and measures. S&C coaches should collaborate with a multidisciplinary support team (i.e. sport coaches, physiotherapists, physiologists, etc. to develop a technical framework. The technical framework may allow for development of training strategies that provide a clear breakdown of the outcomes, adaptations, exercises, and testing methods. The current article articulates this process related to a canoe slalom national performance program.  E ffective leadership of any strength and conditioning (S&C) program requires practitioners to demonstrate how the development of key biomotor qualities may be relevant for the respective sport, by providing an evidence based rationale. Furthermore, the S&C program should have defined objectives that are strategically aligned with the goals of the training program. This may be achieved through the development of a technical framework, whichmay assist in decision making in regard to programming by outlining the physiological demands of the sport and the biomotor qualities contributing toward improving sports performance. In order for a technical framework to be developed, S&C coaches must develop a thorough understanding of the sport. When starting work in a new sport, practitioners often are required to develop a program within a short period and without any previous knowledge of the sport, posing a potential challenge. Therefore, it is important to have a clear process for deconstructing sports performance. The aim of the current article is to elaborate a process that may be used to conduct an in depth needs analysis to establish potential physical determinants of performance and build a technical framework. This process requires S&C coaches to use their understanding of functional anatomy, biomechanics, and physiology, to establish its kinetic and kinematic demands. In addition, it investigates key injuries within a sport and associated risk factors. Because of the complexity of this task and the breadth of expertise required, it is important that practitioners work collaboratively and use the expertise of members of the multidisciplinary team (MDT) (i.e. technical coaches, physiotherapists, physiologists, etc) to further their understanding of key areas and enhance the technical framework. Furthermore, collaboration with the MDT may also ensure that S&C program is strategically aligned with the goals of Address correspondence to Ishan RawlleySingh, ishanrawlley@hotmail.com.
Persistent Homology Computation with a Twist
Year: 2011

The persistence diagram of a filtered simplicial complex is usually computed by reducing the boundary matrix of the complex. We introduce a simple optimization technique: by processing the simplices of the complex in decreasing dimension, we can "kill" columns (i.e. set them to zero) without reducing them. This technique completely avoids reduction on roughly half of the columns. We demonstrate that this idea significantly improves the running time of the reduction algorithm in practice. We also give an output sensitive complexity analysis for the new algorithm which yields to sub cubic asymptotic bounds under certain assumptions.
Gender e ffect Modification in the a ssociation Between s leep d eprivation and f alls
Year: 2010

In their article on self reported sleep duration in communitydwelling older adults, Kuo and colleagues (1) concluded with an association of falls with shortened sleep duration in women but not in men. However, adjusted odds ratios of having suffered a fall in the previous year ranged from 1.35 to 2.79 in four different logistic regression models, with somewhat higher point estimates in equivalent analyses restricted to nonusers of psychotropic medications. These figures are more compatible with an effect than with absence of effect. The rationale for authors' conclusion was most probably a conventional interpretation of implicit hypothesis tests, the latter consisting of checking up whether the 95% confidence interval includes the null value. Apart from the dubiousness of such procedures (2) authors' analyses were not based on hypothesis testing but on point and interval estimation. A confidence interval includes a range of the parameter values more compatible with the data, beginning with the point estimate (2) Hence, data would be more compatible with the point estimate in the commented study an odds ratio of 2.79 than with any other value of the scale, including the null (odds ratio 1) Nonetheless, the majority of relevant models of the study seem to suffer from notable instability probably brought about by sample size scarcity, which can result in bias (3) Although affecting both sex strata, the impact of this problem on the males subsample was greater, not to mention on the likely power limitation of a potential test of homogeneity in that conditions. I believe a better conclusion should at least convey that the data did not permit an adequate measurement in men.
Multiple Linear Discriminant Models for Extracting Salient Characteristic Patterns in Capsule Endoscopy Images for Multi Disease Detection
Venue: IEEE Journal of Translational Engineering in Health and Medicine
Year: 2020

Computer aided disease detection schemes from wireless capsule endoscopy (WCE) videos have received great attention by the researchers for reducing physicians' burden due to the time consuming and risky manual review process. While single disease classification schemes are greatly dealt by the researchers in the past, developing a unified scheme which is capable of detecting multiple gastrointestinal (GI) diseases is very challenging due to the highly irregular behavior of diseased images in terms of color patterns.  In this paper, a computer aided method is developed to detect multiple GI diseases from WCE videos utilizing linear discriminant analysis (LDA) based region of interest (ROI) separation scheme followed by a probabilistic model fitting approach. Commonly in training phase, as pixel labeled images are available in small number, only the image level annotations are used for detecting diseases in WCE images, whereas pixel level knowledge, although a major source for learning the disease characteristics, is left unused. In view of learning the characteristic disease patterns from pixel labeled images, a set of LDA models are trained which are later used to extract the salient ROI from WCE images both in training and testing stages. The intensity patterns of ROI are then modeled by a suitable probability distribution and the fitted parameters of the distribution are utilized as features in a supervised cascaded classification scheme.  For the purpose of validation of the proposed multi disease detection scheme, a set of pixel labeled images of bleeding, ulcer and tumor are used to extract the LDA models and then, a large WCE dataset is used for training and testing. A high level of accuracy is achieved even with a small number of pixel labeled images.  Therefore, the proposed scheme is expected to help physicians in reviewing a large number of WCE images to diagnose different GI diseases.
Complications in acute phase hospitalization of traumatic spinal cord injury: Does surgical timing matter?
Venue: The journal of trauma and acute care surgery
Year: 2013

Optimal timing of surgery after a traumatic spinal cord injury (SCI) is one of the most controversial subjects in spine surgery. We assessed the relationship between surgical timing and the occurrence of nonneurologic postoperative complications during acute hospital stay for patients with a traumatic SCI.  A retrospective cohort study was performed in a single institution. Four hundred thirty one cases of traumatic SCI were reviewed, and postoperative complications were recorded from the medical charts. Patients were compared using two different surgical timing cutoffs (24 hours and 72 hours) Logistic regression analyses were modeled for complication occurrence. The effect of surgical timing on complication rate was adjusted for potential confounding variables such as the level of injury, American Spinal Injury Association (ASIA) grade, Injury Severity Score (ISS) age, sex, Charlson Comorbidity Index, and Surgical Invasiveness Index.  Patients operated on earlier were younger, had less comorbidity, had a higher ISS, and were more likely to have a cervical lesion and a complete injury (ASIA A) A reduction in the global rate of complications as well as in the rate of pneumonias and pressure ulcers were predicted by surgery performed earlier than 72 hours and 24 hours. Increasing age, more severe ASIA grade, and cervical lesion as well as increased Charlson Comorbidity Index, ISS, and SII were also statistically related to the occurrence of complications.  This study showed that a shorter surgical delay after a traumatic SCI decreases the rate of complications during the acute phase hospitalization. We suggest that patients with traumatic SCI should be promptly operated on earlier than 24 hours following the injury to reduce complications while optimizing neurologic recovery. If medical or practical reasons preclude timing less than 24 hours, efforts should still be made to perform surgery earlier than 72 hours following the SCI.
Technology, Wage Dispersion and Inflation
Year: 2014

We study the effect of inflation on the wage dispersions due to firm heterogeneity and on the job search, in the context of a labour market Ai la Postel Vinay and Robin (International Economic Review 43, 2002) and micro founded money demand. The productivity distribution of firms is firstly assumed to be exogenously given and we find that a rise of inflation diminishes the wage dispersion. We then allow the firms to adjust their productivity level by investment. We then find that a rise in inflation can makes firms' productivity less dispersed by driving the least productive firms not profitable and thus out of business, because the demand declines due to the increase in the cost of holding money. This decrease in productivity dispersion furthermore also diminishes the wage dispersion.
Knowledge based end to end memory networks
Venue: ArXiv
Year: 2018

End to end dialog systems have become very popular because they hold the promise of learning directly from human to human dialog interaction. Retrieval and Generative methods have been explored in this area with mixed results. A key element that is missing so far, is the incorporation of a priori knowledge about the task at hand. This knowledge may exist in the form of structured or unstructured information. As a first step towards this direction, we present a novel approach, Knowledge based end to end memory networks (KB memN2N) which allows special handling of named entities for goal oriented dialog tasks. We present results on two datasets, DSTC6 challenge dataset and dialog bAbI tasks.
Communicating Awareness and Intent in Autonomous Vehicle Pedestrian Interaction
Venue: CHI
Year: 2018

Drivers use nonverbal cues such as vehicle speed, eye gaze, and hand gestures to communicate awareness and intent to pedestrians. Conversely, in autonomous vehicles, drivers can be distracted or absent, leaving pedestrians to infer awareness and intent from the vehicle alone. In this paper, we investigate the usefulness of interfaces (beyond vehicle movement) that explicitly communicate awareness and intent of autonomous vehicles to pedestrians, focusing on crosswalk scenarios. We conducted a preliminary study to gain insight on designing interfaces that communicate autonomous vehicle awareness and intent to pedestrians. Based on study outcomes, we developed four prototype interfaces and deployed them in studies involving a Segway and a car. We found interfaces communicating vehicle awareness and intent: (1) can help pedestrians attempting to cross; (2) are not limited to the vehicle and can exist in the environment; and (3) should use a combination of modalities such as visual, auditory, and physical.
Top Down Fusing Multi level Contextual Features for Salient Object Detection
Venue: PRCV
Year: 2020

Recently, benefiting from the fast development of deep convolutional neural networks, salient object detection (SOD) has achieved gratifying performance in a variety of challenging scenarios. Among them, how to learn more discriminative features plays a key role. In this paper, we propose a novel network architecture that progressively fuses the rich multi level contextual features from top to bottom to learn a more effective feature presentation for robust SOD. Concretely, we first design a multi receptive field block (MRFB) to capture multi scale contextual information. Then, we develop a feature fusion block that progressively fuses different outputs of MRFBs from top to bottom, which can effectively filter out the non complementary parts of the high level and low level features. Afterwards, we leverage a refinement residual block to refine the results further. Finally, we leverage an edge aware loss as an aid to guide the network to learn more sharpen details of the salient objects. The whole network is trained end to end without any pre processing and post processing. Exhaustive evaluations on six benchmark datasets demonstrate superiority of the proposed method against state of the arts in terms of all metrics.
METAMORPHOSIS AND THE METAMORPHOSES
Venue: The Classical Review
Year: 2013

Horace's 'Callimachism' than about the Sapphic strophe per se. Chapter 4 opens with an admirable description of the battles the Greek hexameter had to wage in the second century B.C. when it replaced the native Italian Saturnian as the sublime metre of celebration and solemnity. M. focusses on Accian Saturnians celebrating Brutus Callaecus on the walls of a temple that reflected the state of the art in Hellenising architecture, as well as on the surfacing of elegiacs in one of the elogia of the Scipios, which are otherwise composed in Saturnians. The chapter then tells the story of the hexameter's continued development in two opposite directions: on the one hand, it came to be used to portray everyday life in the Satires of Lucilius or Horace; on the other, it was 'eroticised' (in its pentametric 'abbreviation' in Latin elegiac poetry. In this last chapter I would have expected to read about the somewhat parallel evolution of the Greek hexameter, which after a rather monolithic epic phase (it is difficult to consider the Margites an archaic poem) was adopted in the fourth century as the metre of gastronomic poetry by the parodic poets. I would also have expected to find greater attention paid to how rule violations in the use of caesural division of hexameters or iambs in cola express specific connotations (see, however, pp. 230, 330) But this mimetic device in Greek and Latin versification could easily be the topic of another short book; and M.'s brilliant book may pave the way to a new outburst of interest in Anglo American philology for the 'semantics of versification'
The Current Practices and Required Knowledge for Non Functional Requirements Elicitation in Agile Context: A Pilot Study in Jordan
Year: 2021

Non Functional Requirements (NFRs) are very important since they play a significant role for the system's behavior. Unfortunately, in Agile methods, the NFRs are overlooked until the later steps of software development. The negligence of NFRs elicitation is happened due to lack of standardized guidelines that can be referred by the software practitioners. Moreover, empirical studies on the current practices of NFRs elicitation in Agile software development organizations, specifically focused on security requirements and knowledge required are still limited. To the best of our knowledge, the study also has never been done before in Jordan context. Therefore, this study was conducted to address the abovementioned lacking issues. The study was conducted using quantitative approach. The questionnaire was distributed through online and faceto face communication. The data was analyzed using descriptive statistical analysis. Hence, this paper presents the results from the pilot study that involves 34 software practitioners in Jordan. The items of questionnaire were highly reliable to be utilized for more analysis. The findings highlighted the current practices for NFRs elicitation specifically focused on the security requirements elicitation and the required knowledge for NFRs elicitation which are useful for formulating guideline for NFRs elicitation.
Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work and Future of Humanity: A Review and Research Agenda
Venue: J. Database Manag.
Year: 2019

Theexponentialadvancementinartificialintelligence(AI),machinelearning,robotics,andautomation arerapidlytransformingindustriesandsocietiesacrosstheworld.Thewaywework,thewaywe live,andthewayweinteractwithothersareexpectedtobetransformedataspeedandscalebeyond anythingwehaveobserved inhumanhistory.Thisnewindustrial revolution isexpected,onone hand,toenhanceandimproveourlivesandsocieties.Ontheotherhand,ithasthepotentialtocause majorupheavalsinourwayoflifeandoursocietalnorms.Thewindowofopportunitytounderstand theimpactofthesetechnologiesandtopreempttheirnegativeeffectsisclosingrapidly.Humanity needstobeproactive,ratherthanreactive,inmanagingthisnewindustrialrevolution.Thisarticle looksatthepromises,challenges,andfutureresearchdirectionsofthesetransformativetechnologies. Notonlyarethetechnologicalaspectsinvestigated,butbehavioral,societal,policy,andgovernance issuesarereviewedaswell.Thisresearchcontributestotheongoingdiscussionsanddebatesabout AI,automation,machinelearning,androbotics.Itishopedthatthisarticlewillheightenawareness oftheimportanceofunderstandingthesedisruptivetechnologiesasabasisforformulatingpolicies andregulationsthatcanmaximizethebenefitsoftheseadvancementsforhumanityand,atthesame time,curtailpotentialdangersandnegativeimpacts.  Artificial Intelligence, Automation, Future of Humanity,
Morbidity and mortality after lifestyle intervention for people with impaired glucose tolerance: 30 year results of the Da Qing Diabetes Prevention Outcome Study.
Venue: The lancet. Diabetes endocrinology
Year: 2019

Lifestyle interventions can delay the onset of type 2 diabetes in people with impaired glucose tolerance, but whether this leads subsequently to fewer complications or to increased longevity is uncertain. We aimed to assess the long term effects of lifestyle interventions in people with impaired glucose tolerance on the incidence of diabetes, its complications, and mortality.  The original study was a cluster randomised trial, started in 1986, in which 33 clinics in Da Qing, China, were randomly assigned to either be a control clinic or provide one of three interventions (diet, exercise, or diet plus exercise) for 6 years for 577 adults with impaired glucose tolerance who usually receive their medical care from the clinics. Subsequently, participants were followed for up to 30 years to assess the effects of intervention on the incidence of diabetes, cardiovascular disease events, composite microvascular complications, cardiovascular disease death, all cause mortality, and life expectancy.  Of the 577 participants, 438 were assigned to an intervention group and 138 to the control group (one refused baseline examination) After 30 years of follow up, 540 (94% of 576 participants were assessed for outcomes (135 in the control group, 405 in the intervention group) During the 30 year follow up, compared with control, the combined intervention group had a median delay in diabetes onset of 3*96 years (95% CI 1*25 to 6*67; p=0*0042) fewer cardiovascular disease events (hazard ratio 0*74, 95% CI 0*59 0*92; p=0*0060) a lower incidence of microvascular complications (0*65, 0*45 0*95; p=0*025) fewer cardiovascular disease deaths (0*67, 0*48 0*94; p=0*022) fewer all cause deaths (0*74, 0*61 0*89; p=0*0015) and an average increase in life expectancy of 1*44 years (95% CI 0*20 2*68; p=0*023) INTERPRETATION Lifestyle intervention in people with impaired glucose tolerance delayed the onset of type 2 diabetes and reduced the incidence of cardiovascular events, microvascular complications, and cardiovascular and all cause mortality, and increased life expectancy. These findings provide strong justification to continue to implement and expand the use of such interventions to curb the global epidemic of type 2 diabetes and its consequences.
ANALYTICAL AND CHEMICAL STANDARDISATION STUDIES ON TERMINALIA CATAPPA BARK
Year: 2014

Since century's traditional medicines has become an integral part of the human society. In the last few decades there has been an exponential growth in the field of phytotherapeutics. Lack of standardization and validation reduces the international recognition and market potentials of herbal medicines. In the recent years considerable research has been focused towards the standardization and validation aspects. In the present study, attempts are made to evaluate chemical standards for Terminalia catappa bark which has been reported to possess activities like anticancer, anti HIV reverse transcriptase, hepato protective, anti inflammatory, anti hepatitis, anti diabetic and aphrodisiac activity. The aqueous extract of the bark is subjected to physicochemical and phytochemical standardization studies. Identification of active principles is achieved through analytical standardization techniques such as HPTLC finger printing and GC MS analysis. The data of the results obtained will be presented and discussed. Such studies will give valuable insights regarding the production of standard herbal products and also increase their market potentials,
Workshop on context aware recommender systems
Venue: RecSys
Year: 2019

Contextual information has been widely recognized as an important modeling dimension both in social sciences and in computing. In particular, the role of context has been recognized in enhancing recommendation results and retrieval performance. While a substantial amount of existing research has focused context aware recommender systems (CARS) many interesting problems remain under explored. The CARS 2019 workshop provides a venue for presenting and discussing approaches for next generation of CARS and application domains that may require a variety of dimensions of contexts and cope with its dynamic properties.