(R1882) Effects of Viscosity, Oblateness, and Finite Straight Segment on the Stability of the Equilibrium Points in the RR3BP

Associating the influences of viscosity and oblateness in the finite straight segment model of the Robe’s problem, the linear stability of the collinear and non-collinear equilibrium points for a small solid sphere m3 of density \rho3 are analyzed. This small solid sphere is moving inside the first primary m1 whose hydrostatic equilibrium figure is an oblate spheroid and it consists of an incompressible homogeneous fluid of density \rho1. The second primary m2 is a finite straight segment of length 2l. The existence of the equilibrium points is discussed after deriving the pertinent equations of motion of the small solid sphere. It is found that viscosity does not affect the location and number of equilibrium points but affects the stability as it converts the marginal stability to asymptotic stability. However, oblateness affects the locations of the equilibrium points. Applicability of the results of this study to an astrophysical problem is discussed and we have calculated a lower bound on ratio of orbital radius R and total mass M of primaries m1 and m2 of an astrophysical problem to which the results obtained may be applied. This ratio denoted by s is called as scaling factor

Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems

Sharing ideas through communication with peers is the primary mode of human interaction. Consequently, extensive research has been conducted in the area of conversational AI, leading to an increase in the availability and diversity of conversational tasks, datasets, and methods. However, with numerous tasks being explored simultaneously, the current landscape of conversational AI becomes fragmented. Therefore, initiating a well-thought-out model for a dialogue agent can pose significant challenges for a practitioner. Towards highlighting the critical ingredients needed for a practitioner to design a dialogue agent from scratch, the current study provides a comprehensive overview of the primary characteristics of a dialogue agent, the supporting tasks, their corresponding open-domain datasets, and the methods used to benchmark these datasets. We observe that different methods have been used to tackle distinct dialogue tasks. However, building separate models for each task is costly and does not leverage the correlation among the several tasks of a dialogue agent. As a result, recent trends suggest a shift towards building unified foundation models. To this end, we propose UNIT, a UNified dIalogue dataseT constructed from conversations of existing datasets for different dialogue tasks capturing the nuances for each of them. We also examine the evaluation strategies used to measure the performance of dialogue agents and highlight the scope for future research in the area of conversational AI.Comment: 21 pages, 3 figures, 3 table

Desmoid tumour: a rare etiology of intestinal obstruction

Intestinal obstruction is a frequently encountered entity in surgical practice. The signs & symptoms, many a times, are suggestive of the level of obstruction, making the diagnosis of obstruction evident. There are  various causes of intestinal obstruction which diversify to an enormous extent, stamping on the famous  paradigm for the mysterious nature of the abdomen being referred to as the Pandora's Box. In accordance with the above saying, we report a rare case of a desmoid tumour, presenting as intestinal obstruction, which entices us to strongly believe the same.Key words: Intestinal obstruction, pandora´s box, desmoid tumou

Review of Blood Transfusion Strategies among Trauma Patients

Introduction: Trauma is the third most common cause of mortality worldwide and leading cause of death in the age group 1 to 44 years. Among those trauma patients, major hemorrhage is responsible for 30 to 40% of mortality, despite the fact that it could be preventable and reversible. The ideal resuscitation strategy for trauma patients remains a topic of ongoing debate. Transfusion services stress trauma centers with demands for strict accountability for individual blood component units and adherence to indications in a clinical field where research has been difficult and guidance opinion-based. New data suggest that the most severely injured patients arrive at the trauma center already coagulopathic and these patients benefit from prompt specific and corrective treatment. At present, no consensus has been reached on ideal fluid for early resuscitation and on the threshold for blood product transfusions. This review article provides a brief overview of recent advances in trauma induced hematological complications, role of pathologist in managing them and subsequent complicating issues. Thereby, covering the widest possible body of literature. Aims and objectives: In this review we address ongoing resuscitation strategies along with potential complications in management of the trauma patients. This review also assesses the still ongoing, controversial debate of the best fit treatment options. This research is clarifying trauma system requirements for new blood products and blood-product usage patterns, but the inability to obtain informed consent from severely injured patients remains an obstacle to further research. Methods: We considered systematic reviews identified through searches of Cochrane databases from inception to April 2015 and PubMed up to April 2015. Results and Conclusions: Polytrauma patients with severe shock from haemorrhage and massive tissue injury present major challenges for management and resuscitation. Many of the current recommendations for damage control resuscitation remain controversial. A lack of large, randomized, control trials leaves most recommendations at the level of consensus and expert opinion. Ongoing trials and improvements in monitoring and resuscitation technologies will further influence how we manage these complex and challenging patients

A comparative study between flipped classroom and traditional lecture-based classroom in first year medical students

Introduction: Flipped classroom is a new pedagogical model in which students are provided with study resource material to develop a basic understanding of the topic before class, and in-class precious time is used for learner-centric activities. Accordingly the study objectives were to compare the effect of flipped and traditional classroom teaching method and to determine the student’s perception of flipped and traditional teaching method.Method: This was a non-randomized experimental study. A detailed multiple choice question based test was used to assess the knowledge gain. Another structured questionnaire on students’ perception on flipped classroom teaching and traditional teaching technique was used for both the groups.Results: A total of 112 students participated in this study. The mean assessment scores in the flipped and traditional classroom were not statistically significant. We observed in the current study that the qualitative response was better as compared to quantitative response.Conclusion: As per our qualitative observation, a hybrid of both traditional and flipped classroom teaching method can be used in the transition period until the acceptance for new innovative methods increase. Long term learning gain may be attained by improving motivation and engagement of students in learning process

Wind Power Forecasting

The wind power generation depends on wind speed and its derivatives like: wind speed and direction. With consideration of stochastic nature of wind power, this work addresses three main issues: first, it discusses the state of art of energy forecasting with emphasis on wind power forecasting. It provides an overview of different variables on which wind power generation depends and explains various key features regarding the design framework of forecasting models. Second, it performs an assessment, detailed comparison and evaluation of the forecasting performance of various types of models; and third, evaluates the uncertainty of expected outcomes with the help of probabilistic measures

Analysis of string-searching algorithms on biological sequence databases

String-searching algorithms are used to find the occurrences of a search string in a given text. The advent of digital computers has stimulated the development of string-searching algorithms for various applications. Here, we report the performance of all string-searching algorithms on widely used biological sequence databases containing the building blocks of nucleotides (in the case of nucleic acid sequence database) and amino acids (in the case of protein sequence database). The biological sequence databases used in the present study are Protein Information Resource (PIR), SWISSPROT, and amino acid and nucleotide sequences of all genomes available in the genome database. The average time taken for different search-string lengths considered for study has been taken as an indicator of performance for comparison between various methods

Beneficial Remedies of Ayurvedic Medicines Against Allopathic Drugs In Peptic Ulcer

Ayurveda has long been regarded as the most dependable and secure medical system. The effectiveness of Ayurvedic Remedies becomes evident after a certain period of time. These remedies operate by enhancing the immune response or eliciting antagonistic reactions. Ayurvedic treatments utilize substances derived from plants, marine sources, and minerals. These remedies tend to have minimal to no observed side effects due to their natural origin. Here, we compared the Allopathic therapies with Ayurvedic remedies for Peptic Ulcer disease

A qualitative analysis of perspectives of district level frontline managers in Karnataka during first wave of COVID 19

With the emergence of pandemic, health sector has been facing innumerable challenges right from prevention to management of COVID-19. This study attempts to understand these factors from a local perspective that will help in better planning and management of situation for the future. Karnataka was one of the 8 states selected as part of a multisectoral qualitative study. Perspectives of frontline managers regarding the management of COVID 19 pandemic situation were taken by in depth interviews. Deductive thematic analysis from the audio recordings and transcripts showed public apprehensions, gaps in decentralized approach and specific guidelines, monitoring difficulties and workforce related issues as factors of concern

Exfoliated MoS2 Nanosheet/Cellulose Nanocrystal Flexible Composite Films as Electrodes for Zinc Batteries

The study presents a more efficient way of exfoliating MoS2 in water and the exfoliated MoS2 was used in an electrode. The electrodes were prepared from exfoliated MoS2 (active material)-nanocrystalline cellulose (binder) with carbon nanotubes (electron-conducting support) and demonstrated in a zinc battery half-cell that showed a Coulombic efficiency of 90%. Successful exfoliation of MoS2 was done by sonication of bulk MoS2 with sulfated cellulose nanocrystals (CNC) for 4 h. The exfoliation was confirmed by Raman and transmission electron microscopy; interestingly, the Raman signals for exfoliated MoS2 show a blue shift for both A1g and E2g1 bands, which may be an indication of an induced lattice strain effect from the CNC on MoS2. The resulting stable water suspension showed no tendency of precipitation after 2 months of standing. The zeta potential, ζ, for sodium sulfated CNC (CNC-OSO3Na)-MoS2 in water suspension was −45 mV, whereas sulfated CNC (CNC-OSO3H)-MoS2 in water suspension had a zeta potential of −35 mV. The sodium form of sulfated CNCs displayed micelle characteristics, similar to sodium dodecyl sulfate (SDS), with a critical aggregation concentration (CAC) of 1.1 wt %. At CAC, the CNCs efficiently exfoliated MoS2, which is at a much lower concentration than has been reported for synthetic surfactants like SDS and cetyl trimethyl ammonium bromide