Diffusivities bounds in the presence of Weyl corrections

In this paper, we investigate the behavior of the thermoelectric DC conductivities in the presence of Weyl corrections with momentum dissipation in the incoherent limit. Moreover, we compute the butterfly velocity and study the charge and energy diffusion with broken translational symmetry. Our results show that the Weyl coupling $\gamma$, violates the bounds on the charge and energy diffusivity. It is also shown that the Weyl corrections violate the bound on the DC electrical conductivity in the incoherent limit.Comment: v4: The appendix D and E were adde

Classic Papers in Critical Care: A Bibliometric Analysis

Purpose- This study aimed to identify and analyze the bibliometric characteristics of the classic papers in the field of critical care. Design/methodology/approach- In this bibliometric overview, Google Scholar, Scopus and Web of Science were used for data collection. Study sample consisted of the classic papers in the field of critical care, introduced in Google scholar. SPSS were used for data analyses. Findings- Critical Care ranked the first journal in having critical care classic papers. All critical care classic papers were multi-authored. The most highly-cited paper was a paper titled Intensive insulin therapy in the medical ICU , with 3796 received citations in Google Scholar. The United States was the top contributing country. There was a significantly positive correlation between the citations of critical care classic papers in Google Scholar, Scopus, and Web of Science (r= .988, p\u3c.001). Practical implications- The bibliometric overview of critical care classic papers can be beneficial to the researchers and specialists in the field as well as to the editorial teams of its related journals. Bibliometricians and library and information specialist can use the findings of the study. Originality/value- This study is the first to analyze the classic papers in critical care field from a bibliometric perspective

Integrating sustainability into production scheduling in hybrid flow-shop environments

Global energy consumption is projected to grow by nearly 50% as of 2018, reaching a peak of 910.7 quadrillion BTU in 2050. The industrial sector accounts for the largest share of the energy consumed, making energy awareness on the shop foors imperative for promoting industrial sustainable development. Considering a growing awareness of the importance of sustainability, production planning and control require the incorporation of time-of-use electricity pricing models into scheduling problems for well-informed energy-saving decisions. Besides, modern manufacturing emphasizes the role of human factors in production processes. This study proposes a new approach for optimizing the hybrid fow-shop scheduling problems (HFSP) considering time-of-use electricity pricing, workers’ fexibility, and sequence-dependent setup time (SDST). Novelties of this study are twofold: to extend a new mathematical formulation and to develop an improved multi-objective optimization algorithm. Extensive numerical experiments are conducted to evaluate the performance of the developed solution method, the adjusted multi-objective genetic algorithm (AMOGA), comparing it with the state-of-the-art, i.e., strength Pareto evolutionary algorithm (SPEA2), and Pareto envelop-based selection algorithm (PESA2). It is shown that AMOGA performs better than the benchmarks considering the mean ideal distance, inverted generational distance, diversifcation, and quality metrics, providing more versatile and better solutions for production and energy efciency

Classic Papers in Critical Care: A Bibliometric Analysis

Purpose- This study aimed to identify and analyze the bibliometric characteristics of the classic papers in the field of critical care. Design/methodology/approach- In this bibliometric overview, Google Scholar, Scopus and Web of Science were used for data collection. Study sample consisted of the classic papers in the field of critical care, introduced in Google scholar. SPSS were used for data analyses. Findings- Critical Care ranked the first journal in having critical care classic papers. All critical care classic papers were multi-authored. The most highly-cited paper was a paper titled Intensive insulin therapy in the medical ICU , with 3796 received citations in Google Scholar. The United States was the top contributing country. There was a significantly positive correlation between the citations of critical care classic papers in Google Scholar, Scopus, and Web of Science (r= .988, p\u3c.001). Practical implications- The bibliometric overview of critical care classic papers can be beneficial to the researchers and specialists in the field as well as to the editorial teams of its related journals. Bibliometricians and library and information specialist can use the findings of the study. Originality/value- This study is the first to analyze the classic papers in critical care field from a bibliometric perspective

The Impact of Twitter Sentiments on Stock Market Trends

The Web is a vast virtual space where people can share their opinions, impacting all aspects of life and having implications for marketing and communication. The most up-to-date and comprehensive information can be found on social media because of how widespread and straightforward it is to post a message. Proportionately, they are regarded as a valuable resource for making precise market predictions. In particular, Twitter has developed into a potent tool for understanding user sentiment. This article examines how well tweets can influence stock symbol trends. We analyze the volume, sentiment, and mentions of the top five stock symbols in the S&P 500 index on Twitter over three months. Long Short-Term Memory, Bernoulli Na\"ive Bayes, and Random Forest were the three algorithms implemented in this process. Our study revealed a significant correlation between stock prices and Twitter sentiment