Miracle-dz/UniFAR-FTUs huggingface dataset:
DAVIDSON SCHOOL OF CHEMICAL ENGINEERING

In order to simulate catalytic reactive distillation process for biodiesel production via transesterification accurately, the Antoine parameters of biodiesel and NRTL binary interaction coefficients were regressed using Aspen Plus Data Regression function according to the data in literatures. Then vapor pressure of biodiesel under different temperature and phase equilibrium conditions could be described with these parameters. Catalytic reactive distillation process for biodiesel production via transesterification was simulated with Aspen Plus software successfully. Reaction and separation was integrated in one catalytic reactive distillation column. As a result, although methanol-to-oil ratio was only 4:1, high purity (99.8 wt %) of biodiesel with high yield (99.7%) was obtained. The catalytic reactive distillation process for biodiesel production via transesterification would be adequately good to have a potential industrial relevance. Keywords—Simulation, Catalytic Reactive Distillation Process, Biodiesel Production, Transesterification, Aspen Plus
Inhibition of Streptococcus Mutans Growth Induced by the Extract of Citrus Aurantifolia Peel

The aim of this study was conducted to assess the in vitro antimicrobial potential and also determine the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of Citrus aurantifolia peel extracts. This study will analyze the antibacterial activity of C. aurantifolia peel. This test uses the disc diffusion and microdilution method. The extracts prepared from peel of C. aurantifolia were screened for in vitro antimicrobial activity against Streptococcus mutans (ATCC 25175). Results showed that the inhibition zone was obtained at a concentration of 50% in methanol extract, hexane, ethyl acetate, and water fractions were 22.1; 18.1; 28.7 and 20.8 mm, respectively. MIC and MBC values of hexane fractions were 0.19 and 0.39%. MIC and MBC values of ethyl acetate fractions were 0.78 and 1.56%. This data reinforce the statement that the hexane fraction is the most active fraction. This study shows that the extract of C. aurantifolia peel contain compounds with therapeutic potential has been verified. It has an effect as an inhibiting agent the formation of S. mutans. Experimental article(J Int Dent Med Res 2020; 13(1): 122-127)
Influences on health-related behaviours following first-ever stroke

Stroke is a health problem that causes high levels of mortality and morbidity. Healthy lifestyle choices to reduce stroke risk factors are an important component of reducing risk of secondary stroke, and include adherence to prescribed medications, smoking cessation, cessation of alcohol consumption, dietary control, and increased physical activity. Yet, uptake of health behaviours following stroke is low. Theories of health behaviour suggest various factors can influence health-related behaviours. While research has focused on different clinical populations, little is known about factors that might influence health-related behaviours in stroke populations. A literature review explored the factors that might influence health-related behaviour following a stroke. Qualitative and quantitative studies suggested that health-related behaviour following a stroke is a complex process. Health-related behaviours have been found to be influenced by a variety of factors, including physical factors, behavioural factors, and psychosocial factors. Two psychological factors identified in the literature as potentially influencing health behaviours, but where little definitive evidence was identified, were illness perceptions and satisfaction with stroke care. A mixed methods approach explored the factors that influence health-related behaviour following first-ever stroke in New Zealand. A quantitative study investigated whether an individual’s illness perceptions, or satisfaction with their stroke care, influenced their health-related behaviours following first-ever stroke. 386 participants completed questionnaire assessments at 28-days, six-months, and twelve-months post-stroke. In this group of participants, illness perceptions (measured using the Brief Illness Perception Questionnaire) were found to have two dimensions (emotional and practical). Emotional and practical illness perceptions were found to be independent predictors of health behaviours; however, the links were not consistent over time or across health behaviours. Age was the only sociodemographic factor that was significantly related to health behaviour. Satisfaction with stroke care was not significantly related to health behaviour at any time-point. The qualitative study used an interpretive descriptive approach to explore what influenced stroke survivor health-related behaviours following first-ever stroke. Nine
A versatile Generalized Inverted Kinematics implementation for collaborative working humanoid robots: The Stack Of Tasks

This paper present a framework called the Stack Of Tasks (SoT) implementing a Generalized Inverted Kinematics. This particular implementation provides a run-time graph of computational nodes. It can be modified through a specifically targeted scripting language. It allows hybrid control scheme necessary for complex robot applications such as a HRP-2 humanoid robot in a collaborative working environment. We also show through a case study that this framework allows an efficient integration in nowadays middleware such as CORBA.
Type 2 DiabetesWith Partial Lipodystrophy of the Limbs A new lipodystrophy phenotype

RESULTSdPatients with T2DM and PLL exhibited symmetrical loss of subcutaneous fat in forearms, or forearms plus calves, and acanthosis nigricans. Maximally stimulated glucose disposal rates were markedly reduced by 56% in the T2DM with PLL group compared with the control T2DM patients, whether normalized by body weight or surface area. Most PLL patients exhibited little or no insulin-mediated glucose uptake after subtraction of non-insulin–mediated glucose uptake. The T2DM with PLL group also had greater elevations in hepatic transaminases and triglycerides and earlier onset of diabetes compared with control T2DM.
In Vitro Antioxidant and Antimicrobial Activity of Polyherbal Formulation

Context: Antioxidants play a major role in protecting the body against oxidative stress that is associated with many chronic diseases and disorders including chronic wounds. Plants are the richest source for antioxidant and are effective in the management of oxidative stress, caused by free radical damage. Wound healing and antimicrobial potential are also attributed to the antioxidant potential of drugs. Aim: The aim of this study is to carry out the antioxidant and antimicrobial activity of given polyherbal formulation (PHF) to correlate with the wound healing potential of the formulation. Materials and Methods: Antioxidant potential of the PHF was evaluated by the 2, 2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging method. Agar well diffusion method was used to determine its antimicrobial activity against the Escherichia coli, Pseudomonas aeruginosa, Proteus vulgaris, Klebsiella aerogenes. Results: Results of the study demonstrated that PHF exhibited significant antioxidant activity. Antibacterial activity of polyherbal formula was evaluated against the four pathogenic microorganisms in which it showed mild-to-moderate antimicrobial activity against the E. coli and K. aerogenes, while mild antimicrobial activity against the P. aeruginosa and P. vulgaris. Conclusion: Results of this study suggested that PHF can be used for the treatment of wound infections due to its marked antioxidant and antimicrobial activity.
Neonatal sepsis

Neonatal sepsis continues to be a common and significant health care burden, especially in very-low-birth-weight infants (VLBW <1500 g). Though intrapartum antibiotic prophylaxis has decreased the incidence of early-onset group B streptococcal infection dramatically, it still remains a major cause of neonatal sepsis. Moreover, some studies among VLBW preterm infants have shown an increase in early-onset sepsis caused by Escherichia coli. As the signs and symptoms of neonatal sepsis are nonspecific, early diagnosis and prompt treatment remains a challenge. There have been a myriad of studies on various diagnostic markers like hematological indices, acute phase reactants, C-reactive protein, procalcitonin, cytokines, and cell surface markers among others. Nonetheless, further research is needed to identify a biomarker with high diagnostic accuracy and validity. Some of the newer markers like inter α inhibitor proteins have shown promising results thereby potentially aiding in early detection of neonates with sepsis. In order to decrease the widespread, prolonged use of unnecessary antibiotics and improve the outcome of the infants with sepsis, reliable identification of sepsis at an earlier stage is paramount.
Draft genome sequence of the pine fungal pathogen Diplodia sapinea

The draft nuclear genomes of Diplodia sapinea, Ceratocystis moniliformis s. str. , and C. manginecans are presented. Diplodia sapinea is an important shoot-blight and canker pathogen of Pinus spp. , C. moniliformis is a saprobe associated with wounds on a wide range of woody angiosperms and C. manginecans is a serious wilt pathogen of mango and Acacia mangium. The genome size of D. sapinea is estimated at 36.97 Mb and contains 13 020 predicted genes. Ceratocystis moniliformis includes 25.43 Mb and is predicted to encode at least 6 832 genes. This is smaller than that reported for the mango wilt pathogen C. manginecans which is 31.71 Mb and is predicted to encode at least 7 494 genes. The latter is thus more similar to C. fimbriata s.str. , the type species of the genus. The genome sequences presented here provide an important resource to resolve issues pertaining to the taxonomy, biology and evolution of these fungi. Article info: Submitted: 26 May 2014; Accepted: 6 June 2014; Published: 19 June 2014.
Bio-economic model of demersal fish resources in Banten Bay waters

The decline in fish production is a serious problem that threatens the world community lately. Therefore, optimality, efficiency, and sustainability of the fisheries resources management are important things to do. The objective of this research is to analyze the optimal utilization of demersal fish resources in Banten Bay waters. Economic parameters that used in this research are price and fishing cost. Biological parameters are estimated using the Schaefer model. The set gillnet, boat seine, and trammel net are the fishing gear for catching the demersal fish in this research. The result shows that the sustainable yield of demersal fish is 1,569.39 tons year; optimum effort is 3,316 units year; the utilization rate is 54% and the effort rate is 27%. The production rate of demersal fish from 2012 continued to increase until 2014, but then declined in 2015 and was continued to decrease until 2016. It decreases, allegedly due to decreasing operating boat seine. These results indicate that the use of boat seine, in the long run, will cause biological overfishing. The maximum production at maximum economic yield (MEY) level of 1,567.81 tons is reached before the MSY production level. Economic profit at MEY was IDR 14,714,684,821. The effort rate in MEY is more efficient that the effort rate in MSY. The utilization of demersal fish can still be optimized, but it should be done carefully and wisely so as not to cause damage to fish resources and the environment.
Metabolomic Profiling of Fatty Acid and Amino AcidMetabolism in YouthWith Obesity and Type 2 Diabetes Evidence for enhanced mitochondrial oxidation

RESULTSdLong-chain AcylCNs (C18:2-CN to C14:0-CN) were similar among the three groups. Mediumto short-chain AcylCNs (except C8 and C10) were significantly lower in type 2 diabetes compared with NW, andwhen comparedwithOB, C2-, C6-, and C10-CNwere lower. Amino acid concentrations were lower in type 2 diabetes compared with NW. Fasting lipolysis and FOXwere higher in OB and type 2 diabetes compared with NW, and the negative association of FOX to C10:1 disappeared after controlling for adiposity, Tanner stage, and sex. IS was lower in OB and type 2 diabetes with positive associations between IS and arginine, histidine, and serine after adjusting for adiposity, Tanner stage, and sex.
Learning collaborative manipulation tasks by demonstration using a haptic interface

This paper presents a method by which a robot can learn through observation to perform a collaborative manipulation task, namely lifting an object. The task is first demonstrated by a user controlling the robot's hand via a haptic interface. Learning extracts statistical redundancies in the examples provided during training by using Gaussian Mixture Regression and Hidden Markov Model. Haptic communication reflects more than pure dynamic information on the task, and includes communication patterns, which result from the two users constantly adapting their hand motion to coordinate in time and space their respective motions. We show that the proposed statistical model can efficiently encapsulate typical communication patterns across different dyads of users, that are stereotypical of collaborative behaviours between humans and robots. The proposed learning approach is generative and can be used to drive the robot's retrieval of the task by ensuring a faithful reproduction of the overall dynamics of the task, namely by reproducing the force patterns for both lift the object and adapt to the human user's hand motion. This work shows the potential that teleoperation holds for transmitting both dynamic and communicative information on the task, which classical methods for programming by demonstration have traditionally overlooked.
LABORATORY INVESTIGATION OF LIGHT WEIGHT CONCRETE WITH NATURAL PERLITE AGGREGATE AND PERLITE POWDER

1M.Tech, Surya World, Punjab, India 2Asst. Professor, Surya World, Punjab, India 3PhD, Research Scholar*, NIT Srinagar India Department of Civil Engineering Surya World Rajpura Patiala -------------------------------------------------------------------***---------------------------------------------------------------Abstract – In this study the structural lightweight concrete was designed by the inclusion of natural perlite aggregate, which provides the beneficiary advantage of reducing the dead weight and therefore we obtain an economical structural Lightweight concrete. Moreover perlite powder is also added as a replacement of the cement. In this process six mixes were made with different amount of cement with or without perlite powder added. Two groups were made of those six mixes.
Development and Implementation of a Reversible Variable Speed Heat Pump Model for Model Predictive Control Strategies

Flexibility in the energy demand of buildings equipped with Heat Pumps (HPs) may be a solution for the congestion and instability problems of the electrical energy system. However, this flexibility potential is difficult to quantify due to the lack of Variable Speed Heat Pump (VSHP) models in building simulation programs. The purpose of the present work is to present the development of an air-to-water reversible VSHP model in TRNSYS and its application in an energy flexibility scenario of Economic Model Predictive Control (EMPC) in a residential building. A simple but effective combination of TRNSYS Types is used to reproduce the behaviour of a VSHP, while its part load performance is modelled from manufacturer data. When compared with a fixed capacity HP, results showed that in the thermostatic control of the developed model both energy and monetary savings are achievable. These positive effects are even higher when the operation of the HP is managed by the EMPC, reaching a reduction of cost of 50% while maintaining the comfort of the occupants.
Short- Versus Long-Term Duration of Dual-Antiplatelet Therapy After Coronary Stenting

Background—The optimal duration of dual-antiplatelet therapy and the risk-benefit ratio for long-term dual-antiplatelet therapy after coronary stenting remain poorly defined. We evaluated the impact of up to 6 versus 24 months of dual-antiplatelet therapy in a broad all-comers patient population receiving a balanced proportion of Food and Drug Administration–approved drug-eluting or bare-metal stents. Methods and Results—We randomly assigned 2013 patients to receive bare-metal, zotarolimus-eluting, paclitaxel-eluting, or everolimus-eluting stent implantation. At 30 days, patients in each stent group were randomly allocated to receive up to 6 or 24 months of clopidogrel therapy in addition to aspirin. The primary end point was a composite of death of any cause, myocardial infarction, or cerebrovascular accident. The cumulative risk of the primary outcome at 2 years was 10.1% with 24-month dual-antiplatelet therapy compared with 10.0% with 6-month dual-antiplatelet therapy (hazard ratio, 0.98; 95% confidenc.
Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation

This work presents a broad study on the adaptation of neural network acoustic models by means of learning hidden unit contributions (LHUC) - a method that linearly re-combines hidden units in a speaker- or environment-dependent manner using small amounts of unsupervised adaptation data. We also extend LHUC to a speaker adaptive training (SAT) framework that leads to a more adaptable DNN acoustic model, working both in a speaker-dependent and a speaker-independent manner, without the requirements to maintain auxiliary speaker-dependent feature extractors or to introduce significant speaker-dependent changes to the DNN structure. Through a series of experiments on four different speech recognition benchmarks (TED talks, Switchboard, AMI meetings, and Aurora4) comprising 270 test speakers, we show that LHUC in both its test-only and SAT variants results in consistent word error rate reductions ranging from 5% to 23% relative depending on the task and the degree of mismatch between training and test data. In addition, we have investigated the effect of the amount of adaptation data per speaker, the quality of unsupervised adaptation targets, the complementarity to other adaptation techniques, one-shot adaptation, and an extension to adapting DNNs trained in a sequence discriminative manner.
Direct myosin-2 inhibition enhances cerebral perfusion resulting in functional improvement after ischemic stroke

Acute ischemic stroke treatment faces an unresolved obstacle as capillary reperfusion remains insufficient after thrombolysis and thrombectomy causing neuronal damage and poor prognosis. Hypoxia-induced capillary constriction is mediated by actomyosin contraction in precapillary smooth muscle cells (SMCs) therefore smooth muscle myosin-2 could be an ideal target with potentially high impact on reperfusion of capillaries. Methods: The myosin-2 inhibitor para-aminoblebbistatin (AmBleb) was tested on isolated human and rat arterioles to assess the effect of AmBleb on vasodilatation. Transient middle cerebral artery occlusion (MCAO) was performed on 38 male Wistar rats followed by local administration of AmBleb into the ischemic brain area. Development of brain edema and changes in cerebrovascular blood flow were assessed using MRI and SPECT. We also tested the neurological deficit scores and locomotor asymmetry of the animals for 3 weeks after the MCAO operation. Results: Our results demonstrate that AmBleb could achieve full relaxation of isolated cerebral arterioles. In living animals AmBleb recovered cerebral blood flow in 32 out of the 65 affected functional brain areas in MCAO operated rats, whereas only 8 out of the 67 affected areas were recovered in the control animals. Animals treated with AmBleb also showed significantly improved general and focal deficit scores in neurological functional tests and showed significantly ameliorated locomotor asymmetry. Conclusion: Direct inhibition of smooth muscle myosin by AmBleb in pre-capillary SMCs significantly contribute to the improvement of cerebral blood reperfusion and brain functions suggesting that smooth muscle myosin inhibition may have promising potential in stroke therapies as a follow-up treatment of physical or chemical removal of the occluding thrombus.
Objective Metrics for Evaluating Flight Training Simulators

The value of a dynamic motion platform to the flight simulator is a controversial issue within the flight training community. The motion of the flight simulator platform has been shown to affect pilot performance and behavior. Performance studies show that the operator’s performance is enhanced when introducing motion which might indicate that the operator experiences a sensation closer to real flight which should reflect positively on the pilot’s training. However, most transfer of training studies show no major benefit after being trained in a flight simulator with or without a motion system. Resolving these discrepancies and testing for flight simulator training effectiveness requires very time consuming and expensive testing of human performance, both in the aircraft and the simulator. This research aims to tackle this problem by developing a control theoretic approach with novel ideas that include; developing a novel structural model of a human-in-the-loop control system, developing an algorithm which accounts for the fusion of the information from the various sensory channels based on frequency domain prominence, developing an algorithm which incorporates the effects of learning and adaptation of a human operator, investigating and implementing new vestibular, neuromuscular and somatosensory system models based on assessment in the frequency and time domain analysis. This structural model approach permits the development of metrics for determining the training effectiveness of the simulator motion system by assessing pilot control behavior, imitating training studies and performance studies and allowing for fast designing and modification of motion systems and motion cueing algorithms objectively.
Detecting Fake News with NLP: Challenges and Possible Directions

: News plays a signiﬁcant role in shaping people’s beliefs and opinions. Fake news has always been a problem, which wasn’t exposed to the mass public until the past election cycle for the 45th President of the United States. While quite a few detection methods have been proposed to combat fake news since 2015, they focus mainly on linguistic aspects of an article without any fact checking. In this position paper, we argue that these models have the potential to misclassify fact-tampering fake news as well as under-written real news. Through experiments on Fakebox, a state-of-the-art fake news detector, we show that fact tampering attacks can be effective. To address these weaknesses, we argue that fact checking should be adopted in conjunction with linguistic characteristics analysis, so as to truly separate fake news from real news. A crowdsourced knowledge graph is proposed as a straw man solution to collecting timely facts about news events.