nils-herrmann/clean_scirepeval huggingface dataset:
Evaluation of electrical broad bandwidth impedance spectroscopy as a tool for body composition measurement in cows in comparison with body measurements and the deuterium oxide dilution method.
Venue: Journal of animal science
Year: 2017

Body fatness and degree of body fat mobilization in cows vary enormously during their reproduction cycle and influence energy partitioning and metabolic adaptation. The objective of the study was to test bioelectrical impedance spectroscopy (BIS) as a method for predicting fat depot mass (FDM) in living cows. The FDM is defined as the sum of subcutaneous, omental, mesenteric, retroperitoneal, and carcass fat mass. Bioelectrical impedance spectroscopy is compared with the prediction of FDM from the deuterium oxide (DO) dilution method and from body conformation measurements. Charolais x Holstein Friesian (HF; 18; 30 d in milk) crossbred cows and 2 HF (lactating and nonlactating) cows were assessed by body conformation measurements, BIS, and the DO dilution method. The BCS of cows was a mean of 3.68 (SE 0.64) For the DO dilution method, a bolus of 0.23 g/kg BW DO (60 atom% was intravenously injected and deuterium (D) enrichment was analyzed in plasma and whey by stabile isotope mass spectrometry, and total body water content was calculated. Impedance measurement was performed using a 4 electrode interface and time domain based measurement system consisting of a voltage/current converter for applying current stimulus and an amplifier for monitoring voltage across the sensor electrodes. For the BIS, we used complex impedances over three frequency decades that delivers information on intra and extracellular water and capacity of cell membranes. Impedance data (resistance of extra and intracellular space, cell membrane capacity, and phase angle) were extracted 1) by simple curve fit to extract the resistance at direct current and high frequency and 2) by using an electrical equivalent circuit. Cows were slaughtered 7 d after BIS and D enrichment measurements and dissected for the measurement of FDM. Multiple linear regression analyses were performed to predict FDM based on data obtained from body conformation measurements, BIS, and D enrichment, and applied methods were evaluated by cross validation. The FDM varied widely between cows and was correlated to D enrichment in plasma 0.91, 0.05) Prediction of FDM by body size measurements was less precise 0.84) but FDM prediction was more accurate using D enrichment in plasma 0.90) and BIS 0.99) data. Therefore, both BIS and D enrichment analysis resulted in similarly good predictions of FDM in cows, and we conclude that BIS could have the potential to predict FDM in dairy cows from 40 to 380 kg.
Collaborative Human Machine Attention Module for Character Recognition
Venue: 2020 25th International Conference on Pattern Recognition (ICPR)
Year: 2021

The deep learning models, which include attention mechanisms, are shown to enhance the performance and efficiency of the various computer vision tasks such as pattern recognition, object detection, face recognition, etc. Although the visual attention mechanism is the source of inspiration for these models, recent attention models consider 'attention' as a pure machine vision optimization problem, and visual attention remains the most neglected aspect. Therefore, this paper presents a collaborative human and machine attention module which considers both visual and network's attention. The proposed module is inspired by the dorsal 'where' pathways of visual processing and can be integrated with any convolutional neural network (CNN) model. First, the module computes the spatial attention map from the input feature maps, which is then combined with the visual attention maps. The visual attention maps are created using eye fixations obtained by performing an eye tracking experiment with human participants. The visual attention map covers the highly salient and discriminating image regions as humans tend to focus on such regions, whereas the other relevant image regions are processed by spatial attention map. The combination of these two maps results in the finer refinement in feature maps, resulting in improved performance. The comparative analysis reveals that our model not only shows significant improvement over the baseline model but also outperforms the other models. We hope that our findings using a collaborative human machine attention module will be helpful in other computer vision tasks as well.
Elsewhere: The Cultural Consolation of Ava DuVernay's Queen Sugar
Year: 2017

Ava DuVernay9s Queen Sugar arrives at a defining moment in American cultural life, as politics and art converge in an unprecedented moment for black creativity. The unapologetic emergence of full fledged black subjectivity onscreen runs parallel to a new chapter in the civil rights movement. Black Lives Matter has propelled long overdue conversations about policing, the prison industrial complex, inequality, and structural barriers into the mainstream. The ongoing renaissance in television enabled by streaming platforms and new revenue models has opened doors for artists to explore these issues with revived creative freedom. The feisty sitcoms and criminal dramas that have contained black lives for far too long have been surpassed in quality by works more ambitious, aesthetically daring, and politically relevant. Whether it is FX9s Atlanta created by and starring Donald Glover, Marvel9s Luke Cage on Netflix, or the intergenerational family politics of Queen Sugar there isn9t a more exciting time to watch black lives matter and shimmer on American screens.
An adaptive control method for regression coefficient in frequency domain non linear echo suppressor
Venue: 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)
Year: 2012

An echo canceller, which consists of a linear echo canceller and a non linear echo suppressor, has been proposed for mobile phones. This approach provides an efficient nonlinear echo suppressor with low computational complexity. In this method, the non linear echo is estimated in the frequency domain from the linear echo replica. A ratio of the non linear echo and the linear echo replica is called `Regression Coefficient' In this approach, it is very important how to estimate and how to update the regression coefficient by using the residual signal after the linear echo canceller, which includes the residual non linear echo and the near end signal, and the linear echo replica. In this paper, we propose a new adaptive control method for the regression coefficient. The ratio of the residual signal and the replica quickly changes along frame, which is an interval of FFT. Therefore, first the average of the ratio is estimated. Second, the average is amplified in order to suppress the residual non linear echo. In the proposed method, the regression coefficient is not updated in the double talk intervals, because effects of the near end signal is large. The double talk intervals are detected based on the correlation coefficient between the linear echo replica and the microphone input signal, which includes the linear and non linear echo components and the near end signal. Simulation results show the proposed method can improve echo reduction and the segmental SNR by 13 dB and 1.5 2.5 dB, respectively.
Primary Health Care Facility Preparedness for Outpatient Service Provision During the COVID 19 Pandemic in India: Cross Sectional Study
Venue: JMIR public health and surveillance
Year: 2020

Primary health centers (PHCs) represent the first tier of the Indian health care system, providing a range of essential outpatient services to people living in the rural, suburban, and hard to reach areas. Diversion of health care resources for containing the coronavirus disease (COVID 19) pandemic has significantly undermined the accessibility and availability of essential health services. Under these circumstances, the preparedness of PHCs in providing safe patient centered care and meeting the current health needs of the population while preventing further transmission of the severe acute respiratory syndrome coronavirus 2 infection is crucial.  The aim of this study was to determine the primary health care facility preparedness toward the provision of safe outpatient services during the COVID 19 pandemic in India.  We conducted a cross sectional study among supervisors and managers of primary health care facilities attached to medical colleges and institutions in India. A list of 60 faculties involved in the management and supervision of PHCs affiliated with the community medicine departments of medical colleges and institutes across India was compiled from an accessible private organization member database. We collected the data through a rapid survey from April 24 to 30, 2020, using a Google Forms online digital questionnaire that evaluated preparedness parameters based on self assessment by the participants. The preparedness domains assessed were infrastructure availability, health worker safety, and patient care.  A total of 51 faculties responded to the survey. Each medical college and institution had on average a total of 2.94 (SD 1.7) PHCs under its jurisdiction. Infrastructural and infection control deficits at the PHC were reported in terms of limited physical space and queuing capacity, lack of separate entry and exit gates (n=25, 49% inadequate ventilation (n=29, 57% and negligible airborne infection control measures (n=38, 75.5% N95 masks were available at 26 (50.9% sites. Infection prevention and control measures were also suboptimal with inadequate facilities for handwashing and hand hygiene reported in 23.5% (n=12) and 27.4% (n=14) of sites, respectively. The operation of outpatient services, particularly related to maternal and child health, was significantly disrupted (P<.001) during the COVID 19 pandemic.  Existing PHC facilities in India providing outpatient services are constrained in their functioning during the COVID 19 pandemic due to weak infrastructure contributing to suboptimal patient safety and infection control measures. Furthermore, there is a need for effective planning, communication, and coordination between the centralized health policy makers and health managers working at primary health care facilities to ensure overall preparedness during public health emergencies.
Antecedents and consequences of tourists' satisfaction in sport event: Mediating role of destination image
Year: 2020

In this study, we determined the causal relationship between some of the predictors and outcomes of sports tourists' satisfaction using structural equation modeling. Motivation and involvement as predictors and behavioral intentions (WOM and intention to revisit) were considered as outcomes. The results indicated the significant mediating role of destination image in the relationship between involvement and satisfaction. So, Event organizers need to pay special attention to the psychological characteristics of tourists, such as their motivations and involvement. As a result, they can take some benefits in behavioral outcomes, such as word of mouths and intention to revisit.
Un nouveau protocole simplifie d'anticoagulation regionale au citrate pour les techniques de dialyse intermittentes chez des patients a risques hemorragiques
Year: 2017

L'anticoagulation regionale citrate (ARC) est une alternative efficace a l'heparine pour les patients dialyses avec un risque hemorragique, mais son application clinique est lourde et difficile au cours des techniques intermittentes. Materiels et methodes Nous decrivons une nouvelle technique simplifiee d'ARC en soins intensifs nephrologique a l'aide d'un dialysat au citrate sans calcium (Citrasate(r) 485, Hemotech, Toulouse, France) pour la technique de dialyse intermittente. Ce nouveau protocole evite l'infusion de citrate dans la ligne arterielle du circuit extracorporel. La quantite de calcium a restitue en postdilution est adaptee en temps reel selon un modele cinetique a la mesure de la dialysance ionique par le moniteur de dialyse. L'objectif de cette etude etait de demontrer la faisabilite et l'efficacite de cette technique. Dix sept patients ayant une contre indication a l'heparine ont ete inclus dans l'etude. Resultats Nous avons effectue 29 seances de dialyse a l'aide de la nouvelle technique d'ARC dont l'objectif principal etait le taux de reussite des seances ayant atteint la duree de 240 min sans heparine. Vingt cinq seances ont ete conduites sans coagulation du circuit jusqu'a 240 min. Quatre seances ont ete stoppees prematurement en raison d'abords vasculaires dysfonctionnels. Le calcium ionise mesure apres la membrane etait en moyenne a 0,21 0,07 mmol/L a 30 min et 0,35 0,19 mmol/L a 240 min. Le calcium ionise systemique est reste dans la fourchette des valeurs normales, en moyenne 1,02 0,13 mmol/L avant seance et 1,24 0,13 mmol/L apres seance. Nous n'avons observe aucun effet indesirable lie au citrate et aucune accumulation de citrate.  A notre connaissance, nous decrivons pour la premiere fois une nouvelle methode d'ARC destinee aux techniques de dialyses intermittentes. Elle est simplifiee par l'utilisation d'un dialysat au citrate sans calcium avec une reinjection de calcium asservie a la dialysance ionique evitant la surveillance du calcium systemique. Elle ne necessite pas d'infusion de citrate ni d'heparine supplementaire dans la ligne arterielle. Notre protocole d'ARC est simple, sur, efficace et limite les effets indesirables lies au citrate.  Cette technique simplifiee d'ARC est facile a mettre en place en reanimation pour les patients a risques hemorragiques.
Real Time Hand Gesture Recognition its Applications in Assistive Technologies for Disabled
Venue: 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA)
Year: 2018

This paper discusses about the vision based hand gesture recognition in real time. Gesture have been the basic mode of communication since ancient times and is still used along with verbal communication. These gesture recognition systems mainly aims at empowering disabled and elderly people where they can carry out daily activities like conveying simple information or controlling machines in the form of simple hand gestures. Here a visual descriptor based system is used where skin color detection technique for hand segmentation using regular webcam is implemented. Morphological operations applied here alleviates the effects of noise. Further Haar based classifier for face detection is used to remove one of the skin colored largest contour besides hand. Then on this resultant contour, a convex hull is formed to identify the number of finger tips. As opposed to previous methods which makes use of only centroid and farthest distance calculated from centroid, fusion of convex hull algorithm and geometrical analysis proved to get a better recognition rate of 94% These finger tips are identified based on the geometrical analysis they make between the convexity defect points, centroid and the hull points. Based on the number of finger tips the gestures can be classified into various gestures. Mainly ten hand gestures based on fingertip detection has been recognized here which can be utilized by disabled people to convey these gestures in text and sound form.
Review of Microscopic Lane Changing Models and Future Research Opportunities
Venue: IEEE Transactions on Intelligent Transportation Systems
Year: 2013

Driver behaviors, particularly lane changing behaviors, have an important effect on the safety and throughput of the roadway vehicle based transportation system. Lane changing models are a vital component of various microscopic traffic simulation tools, which are extensively used and playing an increasingly important role in Intelligent Transportation Systems studies. The authors conducted a detailed review and systematic comparison of existing microscopic lane changing models that are related to roadway traffic simulation to provide a better understanding of respective properties, including strengths and weaknesses of the lane changing models, and to identify potential for model improvement using existing and emerging data collection technologies. Many models have been developed in the last few decades to capture the uncertainty in lane change modeling; however, lane changing behavior in the real world is very complex due to driver distraction (e.g. texting and cellphone or smartphone use) and environmental (e.g. pavement and lighting conditions) and geometric (e.g. horizontal and vertical curves) factors of the roadway, which have not been adequately considered in existing models. Therefore, large and detailed microscopic vehicle trajectory data sets are needed to develop new lane changing models that address these issues, and to calibrate and validate lane changing models for representing the real world reliably. Possible measures to improve the accuracy and reliability of lane changing models are also discussed in this paper.
One pot synthesis and microwave absorbing properties of ultrathin SrFe12O19 nanosheets
Venue: Journal of Alloys and Compounds
Year: 2019

Ultrathin SrFe12O19 nanosheets were successfully synthesized by modified hydrothermal method. The structure, morphology and properties were characterized and investigated by using X ray diffractometer (XRD) Fourier transform infrared spectroscopy (FTIR) Field emission scanning electron microscopy (FESEM) Transmission electron microscopy (TEM) Vibrating sample magnetometer (VSM) and Vector network analyzer (VNA) The results revealed that the temperature and diethylene glycol were responsible for ultrathin structure and good dispersity of SrFe12O19 nanosheets. The SrM nanosheets showed strong magnetocrystaline anisotropy and large coercive force, which enhanced microwave absorbing properties of SrFe12O19. The reflection loss (RL) of a composite absorber with thickness of 3.5 mm reached a maximum value of 28.6 dB and the effective absorption bandwidth (RL
Effort to Breathe with Various Spontaneous Breathing Trial Techniques. A Physiologic Meta analysis
Venue: American journal of respiratory and critical care medicine
Year: 2017

Spontaneous breathing trials (SBTs) are designed to simulate conditions after extubation, and it is essential to understand the physiologic impact of different methods.  We conducted a systematic review and pooled measures reflecting patient respiratory effort among studies comparing SBT methods in a meta analysis.  We searched Medline, Excerpta Medica Database, and Web of Science from inception to January 2016 to identify randomized and nonrandomized clinical trials reporting physiologic measurements of respiratory effort (pressure time product) or work of breathing during at least two SBT techniques. Secondary outcomes included the rapid shallow breathing index (RSBI) and effort measured before and after extubation. The quality of physiologic measurement and research design was appraised for each study. Outcomes were analyzed using ratio of means.  Among 4,138 citations, 16 studies (n 239) were included. Compared with T piece, pressure support ventilation significantly reduced work by 30% (ratio of means [RoM] 0.70; 95% confidence interval [CI] 0.57 0.86) effort by 30% (RoM, 0.70; 95% CI, 0.60 0.82) and RSBI by 20% (RoM, 0.80; 95% CI, 0.75 0.86) Continuous positive airway pressure had significantly lower pressure time product by 18% (RoM, 0.82; 95% CI, 0.68 0.999) compared with T piece, and reduced RSBI by 16% (RoM, 0.84; 95% CI, 0.74 0.95) Studies comparing SBTs with the postextubation period demonstrated that pressure support induced significantly lower effort and RSBI; T piece reduced effort, but not the work, compared with postextubation. Work, effort, and RSBI measured while intubated on the ventilator with continuous positive airway pressure of 0 cm H2O were no different than extubation.  Pressure support reduces respiratory effort compared with T piece. Continuous positive airway pressure of 0 cm H2O and T piece more accurately reflect the physiologic conditions after extubation.
Effect of moire superlattice reconstruction in the electronic excitation spectrum of graphene metal heterostructures
Year: 2017

We have studied the electronic excitation spectrum in periodically rippled graphene on Ru(0 0 0 1) and flat, commensurate graphene on Ni(1 1 1) by means of high resolution electron energy loss spectroscopy and a combination of density functional theory and tight binding approaches. We show that the periodic moire superlattice originated by the lattice mismatch in graphene/Ru(0 0 0 1) induces the emergence of an extra mode, which is not present in graphene/Ni(1 1 1) Contrary to the ordinary intra band plasmon of doped graphene, the extra mode is robust in charge neutral graphene/metal contacts, having its origin in electron hole inter band transitions between van Hove singularities that emerge in the reconstructed band structure, due to the moire pattern superlattice.
Screening of medium components by Plackett Burman design for carotenoid production using date (Phoenix dactylifera) wastes
Year: 2012

This work was conducted to use palm date wastes in the production of carotenoids. Three strains of Lactobacillus plantarum (QS1, QS2 and QS3) were isolated from food samples including bakery's yeast, olive fermentation and cheese. Strains were investigated for their structural recA gene by PCR. The recA gene was successfully amplified from all strains under study. The ability of isolated L. plantarum strains to produce carotenoids in MRS broth was investigated. QS3 isolate gave the highest ability for production of carotenoids. Statistical screening of media components for production of carotenoids by L. plantarum QS3 using date syrup as a source of sugar was carried out using Plackett Burman design. Date syrup at 5% sugar concentration produced 16.21 mg/kg dry cell of carotenoids when used alone. Increase in carotenoids production was recovered (54.89 mg/kg dry cell) with supplementation of MRS medium with salts and organic nitrogen after optimization of pH and temperature using date syrup as a carbon source. Plackett Burman design showed peptone, K 2 HPO 4 sodium acetate and date juice as main components affecting carotenoids production.
A Group Decision Making Model for Integrating Heterogeneous Information
Venue: IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2018

This paper proposes a group decision making (GDM) method for integrating heterogeneous information. To avoid information loss, instead of transforming heterogeneous information into a single form, the proposed method integrates heterogeneous information using a weighted power average operator. The consensus degree between the individual decision matrix and the group decision matrix is then calculated based on the deviation degree. In addition, the feedback mechanism with the iterative algorithm is used to adjust the individual decision matrix, which does not reach the consensus. Furthermore, a ranking formula with heterogeneous technique for order preference by similarity to an ideal solution is adopted to select the best alternative. A numerical example of supplier selection is introduced to validate the proposed model and compare it with other similar GDM models. The results illustrate that the proposed method cannot only avoid information loss, but also effectively integrate heterogeneous information in heterogeneous GDM environment.