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Parallel processing of regional anesthesia may improve operating room (OR) efficiency in patients undergoes upper extremity surgical procedures. The purpose of this paper is to evaluate whether performing regional anesthesia outside the OR in parallel increases total cases per day, improve efficiency and productivity.

Data from all adult patients who underwent regional anesthesia as their primary anesthetic for upper extremity surgery over a one-year period were used to develop a simulation model. The model evaluated pure operating modes of regional anesthesia performed within and outside the OR in a parallel manner. The scenarios were used to evaluate how many surgeries could be completed in a standard work day (555 minutes) and assuming a standard three cases per day, what was the predicted end-of-day time overtime.

Modeling results show that parallel processing of regional anesthesia increases the average cases per day for all surgeons included in the study. The average increase was 0.42 surgeries per day. Where it was assumed that three cases per day would be performed by all surgeons, the days going to overtime was reduced by 43 percent with parallel block. The overtime with parallel anesthesia was also projected to be 40 minutes less per day per surgeon.

Key limitations include the assumption that all cases used regional anesthesia in the comparisons. Many days may have both regional and general anesthesia. Also, as a case study, single-center research may limit generalizability.

Perioperative care providers should consider parallel administration of regional anesthesia where there is a desire to increase daily upper extremity surgical case capacity. Where there are sufficient resources to do parallel anesthesia processing, efficiency and productivity can be significantly improved.

Simulation modeling can be an effective tool to show practice change effects at a system-wide level.

This paper aims to present the mixing and decay characteristics of Mach 0.8 elliptic jet manipulated by air tabs, through numerical simulation.

The Air Tabs are secondary jets injected through two 1-mm diameter tubes, which are placed at the exit plane of the elliptic primary nozzle. Two air tab configurations are considered for the present study; in the first case, they are placed along the major axis, and in the second case along the minor axis of the elliptic nozzle exit. The air tab Mach numbers considered are 0.8, 0.9 and 1.0. The numerical simulations have been performed in ANSYS-CFX software using the k-e turbulence model.

The jet centerline (X) total pressure decay reveals that air tabs placed along the minor axis promote jet mixing more efficiently than those placed along the major axis. It is also observed that the air tabs along the minor axis provoke the jet to split into two parts thus resulting in faster spread in the perpendicular direction (Z). When compared against the uncontrolled jet, air tabs at Mach 1.0 placed along the minor axis produce 80% reduction in the potential core, whereas that along the major axis brings down the axis-switching location to 0.95 Deq from 3.7 Deq.

In aerospace applications, enhancing the mixing between fuel and air would result in better combustion efficiency, faster exhaust jet mixing with ambient, which in turn result in reduced jet acoustics as well as infrared signature, thereby promotes environmental sustainability.

To the best of the authors’ knowledge, there has not been a thorough analysis of the effects of air tabs on the mixing and decay characteristics of elliptic Mach 0.8 jet.

This study investigates the caste-based disparities in employment probabilities and wage earnings within India’s rapidly growing IT industry, using insights from the labour market segmentation theory. Our theoretical conceptualization attempts to pin down the inaccessibility of marginalised sections of the population to the high productivity job market.

We rely on the National Sample Survey rounds of 2011–2012 and 2020–2021 to estimate employment probabilities and wage differentials using linear and logic regression models, controlling for educational attainments and other important determinants of individual’s job market outcomes.

The results indicate a significant −1.24 odds differential, even after considering education and other control variables. Notably, this disparity has increased since 2011–2012, with lower caste graduate pass-outs facing a mere 13% probability of IT sector employment compared to their upper caste counterparts at 41%. Further, our findings expose gender and rural-urban differentials, highlighting the vulnerability faced by females and individuals from rural areas. The wage analysis shows a 24% and a 22% earning gap for SCs and OBCs, respectively, which remain statistically significant even after controlling for educational attainments and employment arrangements.

This is first micro-level study that counters Indian IT sector’s claim of “castelessness” and “pro-merit”, identifying significant presence of labour market segmentation in the sector. The caste-based labour market segmentation has far-reaching consequences as it can perpetuate income inequalities and hurt industrial efficiency, stifling economic growth in the long-run. Concerted policy responses are imperative to eliminate structural barriers, ensuring equitable access to quality education and employment opportunities for marginalized sections of the society.

In online social network analysis, the problem of identification and ranking of influential nodes based on their prominence has attracted immense attention from researchers and practitioners. Identification and ranking of influential nodes is a challenging problem using Twitter, as data contains heterogeneous features such as tweets, likes, mentions and retweets. The purpose of this paper is to perform correlation between various features, evaluation metrics, approaches and results to validate selection of features as well as results. In addition, the paper uses well-known techniques to find topical authority and sentiments of influential nodes that help smart city governance and to make importance decisions while understanding the various perceptions of relevant influential nodes.

The tweets fetched using Twitter API are stored in Neo4j to generate graph-based relationships between various features of Twitter data such as followers, mentions and retweets. In this paper, consensus approach based on Twitter data using heterogeneous features has been proposed based on various features such as like, mentions and retweets to generate individual list of top-k influential nodes based on each features.

The heterogeneous features are meant for integrating to accomplish identification and ranking tasks with low computational complexity, i.e. O(n), which is suitable for large-scale online social network with better accuracy than baselines.

Identified influential nodes can act as source in making public decisions and their opinion give insights to urban governance bodies such as municipal corporation as well as similar organization responsible for smart urban governance and smart city development.

This paper presents a systematic review of 94 research articles in the domain of gender and firm innovation to map the area and infer future research avenues. The literature captured in this review includes seven theoretical, 16 qualitative and 71 quantitative studies from over 50 journals, examining the role of gender in firm innovation in over 100 countries.

This research utilises a reproducible systematic literature review process to identify prominent theoretical and empirical studies.

The findings suggest that the area is growing and presents interesting opportunities. However, it is observed that empirical investigations are primarily influenced by literature from the Anglo-Saxon areas and give little attention to contextual intricacies of emerging market countries. Among quantitative studies, three main themes of gender are addressed unevenly. They are Top Management Team (TMT) diversity level, R&D team diversity level and individual entrepreneur level studies. Six interesting research avenues are proposed as a major outcome of the review.

This review is one of the first of its kind to extensively review the literature of gender and firm-level innovation. The review consolidates and widens the understanding of the relationship between gender variables and firm innovation-related variables to advance the discussion in the domain by presenting research gaps and questions gleaned from the articles. To this end, the review presents six promising research avenues in the area of gender and firm innovation.

Optimal placement of static VAR compensator (SVC) devices not only improves the voltage profile (VP) but also reduces the active power loss (APL) and enhances the voltage stability (VS) through injecting appropriate VARs at optimal buses. The traditional mathematical methods may not provide global best solution and pose difficulties in handling multi-objective SVC placement (SVCP) problem with complex constraints and forcefully place all the given number of SVCs in the system without assessing their real requirements in enhancing the chosen performances. The purpose of this paper is to formulate the SVCP as a multi-objective optimization problem and solve it using a metaheuristic algorithm for global best solution.

The proposed SVCP method uses improved harmony search optimization (IHSO) with dissonance-avoiding mechanism for obtaining the global best solution through driving away the solution from the sub-optimal traps. In addition, the method uses a self-adaptive technique for optimally tuning the IHSO parameters and places only the required number of SVCs from the given number of SVCs.

This paper presents the results of the proposed method for 14, 30 and 57 bus systems and exhibits that the proposed method outperforms the existing SVCP methods in achieving the desired performances.

This paper proposes a new self-adaptive IHSO based SVCP method for optimally placing only the required number of SVCs with a goal of attaining the global best performances.

Milling is a flexible creation process for the manufacturing of dies and aeronautical parts. While machining thin-walled parts, heat generation during machining essentially affects the accuracy. The workpiece temperature (WT), as well as the responses like material removal rate (MRR) and surface roughness (SR) for input parameters like cutting speed (CS), feed rate (F), depth-of-cut (DOC), step over (SO) and tool diameter (TD), becomes critical for sustaining the accuracy of the thin walls.

Response surface methodology was used to make 46 tests. To convert the multi-character problem into a single-character problem, the weightage was assessed using the entropy approach and the grey relational coefficient (GRC) was determined. To investigate the connection among input parameters and single-objective (GRC), a fuzzy mathematical modelling technique was used. The optimal performance of process parameters was estimated by grey relational entropy grade (GREG)-fuzzy and genetic algorithm (GA) optimization.

SR was found to be a significant process parameter, with CS, feed and DOC, respectively. Similarly, F, DOC and TD were found to be significant process parameters with MRR, respectively, and F, DOC, SO and TD were found to be significant process parameters with WT, respectively. GREG-fuzzy-GA found more suitable for minimizing the WT with the constraint s of SR and MRR and provide maximum desirability of 0.665. The projected and experimental values have a good agreement, with a standard error of 5.85%, and so the responses predicted by the suggested method are better optimized.

The GREG-fuzzy-GA is a new hybrid technique for analysing Inconel625 behaviour during machining in a 2.5D milling process.

This study aims to investigate the effect of slanted perforation diameter in tabs for the control of Mach 1.4 underexpanded supersonic jet flow characteristics.

Numerical investigation was carried out for NPR 5 to analyze the effect of slanted perforation diameter in tabs to control the Mach 1.4 jet. Four sets of tabs with slanted circular perforation geometries (Φ_p = 1, 1.5, 2 and 2.5 mm) were considered in this study. The inclination angle of 20° (α_P) with reference to the jet axis was maintained constant for all the four tabs considered.

Determined value indicates there is a 68%, 71%, 73% and 75% drop in supersonic core for the Φ_p = 1, 1.5, 2.0 and 2.5 mm, respectively. The results show that the tabs with 2.5 mm perforation diameter were found to be efficient in reducing the supersonic jet core in comparison with other tab cases. The reduction in supersonic core length is due to the extent of miniscule vortices exuviating from slanted small and large diameter perforation in the tabs.

The concept of slanted perforation can be applied in scramjet combustion, which finds its best application in hypersonic vehicles and in noise suppression in fighter aircraft.

Slanted perforation and circular shapes with different diameters have not been studied in the supersonic regime. Examining the effect of circular diameter in slanted perforation is an innovation in this research paper.

The purpose of the present paper is to provide a systematic overview of dimensions that need to be enfolded or considered in microfinance policies and strategies designs as well as impact studies aiming to empower or assess the empowerment of a specific category of women, namely women entrepreneurs. Afterward, the study aims to suggest some directions for future studies.

To meet its purpose, the paper applies the systematic review approach. The applied methodology follows guidelines for systematic reviews of social and economic interventions as set out by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). More specifically, the authors examine 87 empirical papers from 6 databases investigating the impact of microfinance institutions on the empowerment of women entrepreneurs.

Overall, findings of the study suggest that dimensions of the empowerment of women entrepreneurs are formed and conditioned by normative, cognitive and regulative institutional logics. Additionally, the systematic review suggests key research avenues and calls for more inclusive empirical studies in terms of geographical coverage, microfinance services/products assessed and method designs applied.

Findings of the current review provide clear theoretical contribution and useful practical implications in the field of microfinance and the empowerment of women entrepreneurs. On the one hand, the study suggests to scholars key avenues for future studies likely to bring new insights in terms of theory, context and methods. On the other hand, this study extents the understanding of microfinance practitioners on the concept of women empowerment as the field of female entrepreneurship is concerned. This implication is likely to enable the design of appropriate microfinance strategies and policies, allowing women entrepreneurs to achieve an overall empowerment.

The present paper contributes to the debate around the multidimensionality of the concept, “women empowerment.” The multidimensional nature of the addressed concept is well established in the existing literature. However, to the best of the authors’ knowledge, no study has provided a conceptual analysis of empowerment dimensions of a particular category of women, namely women entrepreneurs. Unlike most of the studies assuming that all women face identical challenges, the present paper brings new insights on the topic as it is built on a different assumption. The paper takes ground from the institutional theory and applies it to the specific case of female entrepreneurship.

Despite numerous positive aspects of digital contact tracing, the implied nature of contact tracing is still viewed with skepticism. Those in favor of contact tracing often undermine various risks involved with it, while those against it often undermine its positive benefits. However, unless the government and the app makers can convince a significant section of the population to use digital contact apps, desired results cannot be achieved. This study aims to focus on analyzing the perception of citizens belonging to developing countries about digital contact tracing.

For this study, data were collected from Twitter. Tweets containing hashtag and the word “contact tracing” were crawled using Python library Tweepy. Tweets across the top five developing countries (India, Brazil, South Africa, Argentina and Columbia) with high COVID-19 cases were collected for this study. After eliminating tweets of other languages, we selected 50,000 unique English tweets for this study. Using the machine learning algorithm, we have detected the sentiment of all the tweets belonging to each country. Structural topic modeling was performed for the tweets to understand the concerns shared by citizens of the developing countries about digital contact tracing.

The study was conducted in two parts. Study 1 results show that Indians and Brazilians citizens record more negative sentiments toward “digital contact tracing” than other major developing countries. Surprisingly, the citizens of India and Brazil also records more positive sentiments about contact tracing. This shows the polarized nature of the population of both countries while dealing with digital contact tracing. Overall, only 33.3% of total tweets were positively related to contact tracing, while 53.7% of the total tweets were neutral. Study 2 results show that factors such as the reliability of the contact tracing apps, contact tracing may lead to unnecessary panic, invasion of privacy and data misuse as the prominent reasons why the citizens of the five countries feel pessimistic about contact tracing.

After the COVID-19 strikes, numerous studies were conducted to analyze and suggest the best possible way of implementing digital contact tracing to curb COVID. However, only a handful of studies were conducted examining how the general public perceives the concept of digital contact tracing, especially pertaining to developing countries. This study fills that gap.