Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Management of Uncomplicated Community-Acquired Pneumonia: A Retrospective Assessment

Background Community-acquired pneumonia (CAP) remains a leading cause of hospitalization and mortality in the United States. Studies have shown that interventions such as shorter antibiotic therapy and early intravenous (IV) to oral conversion can be safely performed. We evaluated areas of improvement at our institutions that could help optimize patient management while reducing collateral damage associated with excessive antibiotic usage. Methods In this retrospective analysis, all patients aged 18 years and older with a primary International Classification of Diseases, Ninth Revision code for CAP admitted from March 1, 2014, to October 31, 2014, were analyzed. The primary outcome was duration of antibiotic therapy for uncomplicated CAP (appropriate treatment duration defined as 7 days or less). Secondary objectives included duration of IV antibiotic therapy, duration of inpatient length of stay, and 30-day readmission rate related to CAP. Results Of the 141 patients evaluated, 98 (69.5%) met inclusion criteria. The mean total duration of antibiotic therapy was 10.1 ± 3.4 days, and the mean duration of IV therapy was 4.9 ± 3.3 days. Only 26.5% of patients received 7 days or less of antibiotic therapy, whereas 38.8% received greater than 10 days of therapy. Conclusions Our findings are concerning given the available data demonstrating that short-course therapy with 5 to 7 days is clinically as effective as long-course therapy and associated with fewer adverse events. The management of uncomplicated CAP represents a significant opportunity for antimicrobial stewardship intervention.
CoWriting Kazakh: Learning a New Script with a Robot

In the Republic of Kazakhstan, the transition from Cyrillic to Latin alphabet raises challenges to training an entire population in writing the new script. This paper presents a CoWriting Kazakh system, an extension of the existing CoWriter system, aiming to implement an autonomous social robot that would assist children in transition from the old Cyrillic alphabet to a new Latin alphabet. With the aim to investigate which learning strategy yields better learning gains, we conducted an experiment with 67 children, aged 8-11 years old, who interacted with a robot in a CoWriting Kazakh learning scenario. Participants were asked to teach a humanoid NAO robot how to write Kazakh words using one of the scripts, Latin or Cyrillic. We hypothesized that a scenario in which the child is asked to mentally convert the word to Latin would be more effective than having the robot perform conversion itself. Results show that the CoWriter was successfully applied to this new script-switching task. The findings also suggest interesting gender differences in the preferred method of learning with the robot. CCS CONCEPTS •Human-centered computing → Human computer interaction (HCI); •Social and professional topics → Children; • Applied computing → Education; •Computer systems organization → Robotics. Acm Reference Format: Anara Sandygulova, Wafa Johal, Zhanel Zhexenova, Bolat Tleubayev, Aida Zhanatkyzy, Aizada Turarova, Zhansaule Telisheva, Anna CohenMiller, Thibault Asselborn, and Pierre Dillenbourg. 2020. CoWriting Kazakh: Learning a New Script with a Robot. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’20), March 23–26, 2020, Cambridge, United Kingdom. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3319502.3374813
PRE-EMPTIVE ORAL PREGABALIN VERSUS CLONIDINE FOR IMMEDIATE POST OPERATIVE PAIN IN SURGERIES UNDER SUB ARACHNOID BLOCK

Introduction: One of the most important and pressuring issue in the field of anesthesia and surgery is effective control of postoperative pain. It has significant impact on our health care system. Millions of people worldwide who undergo operations each year experience postoperative pain of varying intensity. Aims and Objectives: To evaluate postoperative analgesic benefit in patients administered pregabalin or clonidine or placebo as oral premedication for below umbilical surgeries performed under SAB. Material and Methods: The study was carried out in 90 patients scheduled for Elective below Umbilical Surgeries, with estimated duration of surgery 90-120 minutes, to be performed under SAB. Patients in treatment group were given Tab. Pregabalin 300mg or Tab. Clonidine 150mcg or placebo one hour before commencement of surgery. Statistical analysis was done and compared among groups. Results: The age in our study was 18-65 years. The comparison of total duration of analgesia in three groups was statistically significant. The mean duration in control group was 264.83 ± 13.67 minutes, mean duration of total analgesia in clonidine group was 492.66 ±78.29 and duration of total analgesia in pregabalin group was 632.83 ±103.95 minutes. Total dose of analgesic required in 24 hours in all the three groups was significant; p-value is 0.00 which was highly significant if compared with control group, else amongst CL & PG group it was also significant (p-value 0.016). The lowest VAS score was in pregabalin group at 30 minutes postoperatively and maximum seen at 12 hrs postoperatively followed by clonidine group and maximum was seen in control group. Conclusion: Clonidine hydrochloride 150 μg and pregabalin 300mg was found to be effective in reducing postoperative pain when given 1 hour preoperatively. Pregabalin proved to have a better analgesic effect than clonidine, reducing the total consumption of rescue analgesic and prolonging first rescue dose. Both the drugs are good alternative to each other and can be used safely as preemptive analgesia under SAB.
Massively Scalable Image Processing on the HPCC Systems Big Data Platform

Today's fast-moving world sees an abundance of image data in everyday life. From messages to insurance claims to even judicial systems, image data plays a pivotal role in facilitating several critical Big Data applications. Some of these applications such as automatic license plate recognition (ALPR) use CCTV cameras to capture snapshots of traffic from real-time video, inadvertently resulting in the generation vast amounts of image data on a daily basis. This brings with it the herculean task of processing these images to extract the essential information as efficiently as possible. The conventional method of processing images in a sequential manner can be very time consuming on account of the vast multitude of images and the intensive computation involved in order to process these. Distributed image processing seeks to provide a solution to this problem by splitting the computations involved across multiple nodes. This paper presents a novel framework to implement distributed image processing via OpenCV on HPCC Systems distributed node architecture*, a set of high-performance computing clusters. The proposed approach when tested on the Indian License Plates Dataset was found to be 85 percent accurate. Additionally, a 30 percent decrease in computation time was observed when executed on a multi-node setup without any impact to accuracy.
Comparative Analysis of Different Converter Topologies Employed for Transformer-less Photovoltaic System-A Review

In grid connected photovoltaic (PV) generation systems transformer-less inverters are widely used which induce leakage current due to the absence of galvanic isolation and unstable common mode voltage. However, transformer-less inverter topologies have a lot of advantages, such as low cost, light weight, small size and high efficiency, but their semiconductor devices are still on hard-switching state at present, which normally has low efficiency, since the power losses across the switching devices are high. In this paper different topologies of transformer-less inverters are compared to highlight their differences. The analysis considers the efficiency, the leakage current, and the quality of the output current when different modulation techniques are adopted.
Examining Profiles for Robotic Risk Assessment: Does a Robot’s Approach to Risk Affect User Trust?

As autonomous robots move towards ubiquity, the need for robots to make decisions under risk that are trustworthy becomes increasingly significant; both to aid acceptance and to fully utilise their autonomous capabilities. We propose that incorporating a human approach to risk assessment into a robot’s decision making process will increase user trust. This work investigates four robotic approaches to risk and, through a user study, explores the levels of trust placed in each. These approaches are: risk averse, risk seeking, risk neutral and a human approach to risk. Risk is artificially stimulated through performance-based compensation, in line with previous studies. The study was conducted in a virtual nuclear environment created using the Unity games engine. Forty participants were asked to complete a robot supervision task, in which they observed a robot making risk based decisions and were able to question the robot, question the robot further and ultimately accept or alter the robot’s decision. It is shown that a robot that is risk seeking is significantly less trusted than a risk averse robot, a risk neutral robot and a robot utilising human approach to risk. There was found to be no significant difference between the levels of trust placed in the risk averse, risk neutral and human approach to risk. It is also found that the level to which participants question a robot’s decisions does not form an accurate measure of trust. The results suggest that when designing a robot that must make risk based decisions during teleoperation in a hazardous environment, an engineer should avoid a risk seeking robot. However, that same engineer may choose whichever of the remaining risk profiles best suits the implementation, with knowledge that the trust in their system is unlikely to be significantly affected. ACM Reference Format: Tom Bridgwater, Manuel Giuliani, Anouk van Maris, Greg Baker, Alan Winfield, and Tony Pipe. 2020. Examining Profiles for Robotic Risk Assessment: Does a Robot’s Approach to Risk Affect User Trust? In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI’20), March 23–26, 2020, Cambridge, United Kingdom. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3319502.3374804
Risk Factors in Early Life for Preschool Children in Korea that are Associated with Being Overweight or Obese

Objectives The present study addressed the risk factors in early life for Korean preschool children that are associated with being overweight or obese. Methods A descriptive cross-sectional design was used to conduct this study, which included 507 mothers with preschool children aged 3–5 years, who attended daycare centers. Data were acquired via a self-administered questionnaire completed by the mothers. Of the 650 questionnaires that were distributed, 507 (78%) were completed and sent back. Multivariate logistic regression analyses were used to identify risk factors in early life, which may contribute to being overweight or obese in preschool children. Results Fifty-eight (11.4%) preschool children were overweight and 41 (8.1%) were obese. Multivariate logistic regression analysis with adjustment for covariates, revealed a significant association with the introduction of solid foods before 4 months of age [adjusted odds ratio (aOR) = 9.49, p = 0.029] and a nonresponsive feeding style (aOR = 2.80, p = 0.043) with being overweight or obese in preschool children. Conclusion The findings of this study highlighted the need for parenting education programs on feeding practices to increase their understanding of hunger and satiety cues in infants, and appropriate timing for the introduction of solid foods.
Towards a Pediatric Approach in Adults with Acute Lymphoblastic Leukemia (ALL): The GRAALL-2003 Study.

Introduction: In a recent French FRALLE versus LALA comparison, we have demonstrated a large benefit in outcome when adolescents and young adults were treated in a pediatric rather than an adult ALL protocol (Boissel JCO 2003). Similar provocative results have been observed in three other pediatric versus adult ALL studies (Stock ASH 2000, de Bont Leukemia 2004, Testi ASH 2004). One explanation may be the larger amounts of steroids, vincristine (VCR), and L-asparaginase (L-aspa) administered in pediatric patients. The GRAALL-2003 study was thus designed to offer a pediatric approach in adults with Ph-negative ALL until 60 years of age. Methods: Treatment included a 5-drug induction, high dose-intensity consolidation blocks, delayed intensification, and 2-year maintenance. The comparison with the former LALA-94 protocol showed a 8.6-fold, 3.7-fold, and 16-fold increase in cumulative doses of prednisone, VCR, and L-aspa, respectively. One difference with childhood ALL therapy remained indication of allogeneic SCT in first CR which was offered to all patients with high-risk factor and a donor. In addition, induction was reinforced with a hyper-cyclophosphamide sequence (HyperC) in case of poor early response (cortico- and/or chemoresistant ALL). In the present report, 212 GRAALL-2003 patients with Philadelphia-negative ALL aged 15–55 years with a median follow-up of 18 months were compared to 712 patients previously treated in the LALA-94 trial. Results: Cohorts were comparable in terms of prognostic factors. CR rate was significantly higher in GRAALL patients (93 vs 88%, P=0.02) due to a reduction in resistant disease (0.5 vs 8%, P Conclusion: In conclusion, a pediatric approach benefits to younger adults with ALL.
Do Humans Imitate Robots? An Investigation of Strategic Social Learning in Human-Robot Interaction

Theories on social learning indicate that imitative choices are usually performed whenever copying the others’ behaviour has no additional cost. Here, we extended such investigations of social learning to Human-Robot Interaction (HRI). Participants played the Economic Investment Game with a robot banker while observing another robot player also investing in the robot banker. By manipulating the robot banker payoff, three conditions of unfairness were created: (1) unfair payoff for the participants, (2) unfair payoff for the robot player and (3) unfair payoff for both. Results showed that when the payoff was low for the participants and high for the robot player, participants invested more money in the robot banker than when both parties received a low return. Also, for this specific condition, participants’ investments increased further with a more interactive robot player (defined as demonstrating increased attention, congruent movements and speech) This suggests that social and cognitive human competencies can be used and transposed to non-human agents. Further, imitation can potentially be extended to HRI, with interactivity likely having a key role in increasing this effect. CCS CONCEPTS • Human-centered computing → Empirical studies in HCI; • Applied computing→Psychology. ACM Reference Format: Debora Zanatto, Massimiliano Patacchiola, Jeremy Goslin, Serge Thill, and Angelo Cangelosi. 2020. Do Humans Imitate Robots? An Investigation of Strategic Social Learning in Human-Robot Interaction. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI’20), March 23-26, 2020, Cambridge, United Kingdom. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3319502.3374776
Simulation and Experimental Analysis of Common Mode Voltage and Bearing Voltage in Multiple Motors Fed by Single PWM Inverter for Long Cable Applications 2385

2380 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: A1916058119/19©BEIESP  Abstract: This paper presents the influence of the motor cable length on the occurrence of over voltage at the motor terminals in multiple induction motors fed by single PWM inverter for long cable applications. Further, paper also discusses the effect of overvoltage at the motor terminals on the magnitude of the common mode voltage and the bearing voltage. Two 1/2-HP, 3-Ø induction motors (M1 and M2) and two 3HP induction motors (M3 and M4). These motors are installed at distance of 30m, 60m, 90m and 120 m respectively from inverter terminals in daisy chain configuration. As the motor cable length increases, the motor terminal voltage , common mode voltage and bearing voltage increases due to voltage reflection phenomenon and interaction between the individual motors. To suppress the over-voltage at all the motor terminals, thereby reducing the common mode voltage and bearing voltage, the RC passive filter have been installed at the motor terminals M4 to match with the cable surge impedance. The simulation results are compared with the experimental results. According to these results, the over-voltages at the motor terminal, common mode voltage and bearing voltage reduced more than 70 % in all the motors with long cables.
Impact of climate change (heat stress) on livestock: adaptation and mitigation strategies for sustainable production

It is reported sporadically in different countries of the world including India that climate change has adverse effect on livestock productivity, particularly on milk production and growth which is reflected in meat production indirectly. Climate Change poses formidable challenge to the development of livestock sector in India. The rise in temperature between 2 to 3 °C over the entire country together with increased humidity resulting from climate change is likely to aggravate the heat stress in dairy animals resulting in reduced growth and milk production. Quantification of these potential impacts of climate on livestock production allows producers to gain a better understanding of the magnitude of the changes in production levels and potential indicators of livestock response, on which managemental actions depend. Economic losses resulting from temperature-induced reductions in production may justify adaptation and mitigation of adverse impact of climate change on animal. So in this paper impact of climate change on feed intake, production, reproduction, physiology, disease occurrence in livestock, poultry etc were discussed. Moreover different adaptive and mitigation measures were discussed to reduce adverse negative effect of climate change for sustainable livestock production.
A Flipped Classroom Experiment: The implementation of Semi-Synchronous Learning

With semi-synchronous learning, students are provided with online learning material, and allowed a window of time within which they study the material. This allows the students to employ mastery-based progression and just-in-time learning approaches. Furthermore, this also frees lecturers' time, allowing them to focus on helping students lagging behind. This article describes the process of converting a ten-week university course to a semi-synchronous teaching format. Student grades and video viewing statistics were used to evaluate the new approach. Results show that some students had an initial resistance to the new format and leaned towards traditional teaching methods. However, video viewing statistics show that students remained engaged in learning the theory throughout the course duration. The new approach did not result in a significant difference in student grades.
Support Physically Interactive Multimedia Design with an Authoring Tool

— Physically interactive multimedia is in the emerging field of human-computer interactive (HCI) design in which the applications allow users to operate by means of body movements. Developing these applications often involves a wide range of skills, such as computer science, art and design. Thereby, this is often thought to be very challenging and laborious for students when undertaking the related courses. This paper proposes a teaching strategy to allow students to reduce the demands of programming skills and technical know-how, and to rapidly get the design results and amend where applicable with ease. As part of the strategy, an XML editing environment (XEE) is developed for university students to design physically interactive multimedia applications. Within the XEE, students set up, run and display their designs, and edit multimedia components intuitively with an XML-based template.
Therapeutic Unit for Heart Failure: From Concept to Realization

DOI: 10.21276/sjmcr.2018. 6.4. 9 Abstract: Chronic heart failure is a serious and common disease burdened with a heavy morbidity and mortality the concept of therapeutic unity of heart failure (UTIC) was developed, to improving the quality of life and decrease the number of rehospitalization in patients suffering from chronic heart failure. The therapeutic unit for heart failure (UTIC) is based on a multidisciplinary team and structure for patient education, to ensure adequate support. The experience of Cardiology service, in University Hospital med VI, was started in 2014, with the establishment of a specialized consultation, allowing the recruitment of 430 patients suffering from chronic heart failure. The creation of this type of consulting unit has allowed a better management of disease by a regular followed.
SIMULTANEOUS QUANTIFICATION OF KAEMPFEROL AND QUERCETIN IN MEDICINAL PLANTS USING HPTLC

Kaempferol and quercetin are the flavonoids which are widespread in fruits and vegetables exhibiting important biological activities. A simple and precise HPTLC method was developed and validated for simultaneous determination of kaempferol and quercetin in herbal drug extracts of Podphyllum hexandrum and Cassia angustifolia. The HPTLC of flavonoids was performed with toluene: acetone: formic acid (7:3:0.25) as mobile phases on RP-18 F254 TLC plates. Densitometric determination of flavonoids was performed at λ = 254 nm in reflectance/ absorbance mode. The results obtained indicated that the developed method was precise and accurate. Good resolution of kaempferol and quercetin was obtained from other constituents present in methanolic and hydrolysed extracts of P. hexandrum and C. angustifolia using proposed HPTLC method. Kaempferol was quantified in free (8.01and 2.42 μg/mg) as well as bound (17.54 and 8.13 μg/mg) forms and quercetin in free (4.5 and 0.93 μg/mg) as well as bound form (6.17and 4.8 μg/mg) in P. Hexandrum and C. angustifolia. Kaempferol was found to be present in high concentration and quercetin was in low concentration in these plants. Statistical data showed that method is sensitive and selective for simultaneous determination of flavonoids. INTRODUCTION: Flavonoids are important bioactive polyphenolic compounds in kingdom Plantae. They are the largest groups of plant secondary metabolites which exist in the free aglycones and the glycoside forms with a diverse structure 1 . Amongst them kaempferol and quercetin are flavonols widely distributed in vegetables, fruits, beverages and reported to have important biological activities. P. hexandrum Royle syn. P. Emodi (berberidaceae) also known as Indian Podophyllum or Laghupatra. It is native to the foothills of Himalayas as well as the rain forests of Nepal and Kashmir. QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.7(6). 2379-84 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.7 (6). 2379-84 It is widely used for the treatment of cancer, biliary fever, septic wounds, constipation, cold, inflammation, burning sensation, mental disorder, and genital warts 2, 3 . The Podophyllum rhizome chemically contains lignans such as podophyllotoxin, flavonoids such as kaempferol and quercetin (Fig.1) both in free and glycoside form. C. angustifolia Vahl. (Fabaceae) is an important medicinal shrub, commonly known as Senna cultivated in Somalia, Arabian peninsula, Punjab and in South India and recorded in many pharmacopoeias of the world 4, 5 . As it shows powerful cathartic properties, it is used for treatment of constipation. It is used as an anthelmintic and as a mild liver stimulant, febrifuge 6, 7 . The leaves and pods contain sennosides A, B, C, D, kaempferol and its glucosides, kaempferin,