Multidimensional cut-off technique, odd-dimensional Epstein zeta functions and Casimir energy of massless scalar fields

Quantum fluctuations of massless scalar fields represented by quantum fluctuations of the quasiparticle vacuum in a zero-temperature dilute Bose-Einstein condensate may well provide the first experimental arena for measuring the Casimir force of a field other than the electromagnetic field. This would constitute a real Casimir force measurement - due to quantum fluctuations - in contrast to thermal fluctuation effects. We develop a multidimensional cut-off technique for calculating the Casimir energy of massless scalar fields in $d$-dimensional rectangular spaces with $q$ large dimensions and $d-q$ dimensions of length $L$ and generalize the technique to arbitrary lengths. We explicitly evaluate the multidimensional remainder and express it in a form that converges exponentially fast. Together with the compact analytical formulas we derive, the numerical results are exact and easy to obtain. Most importantly, we show that the division between analytical and remainder is not arbitrary but has a natural physical interpretation. The analytical part can be viewed as the sum of individual parallel plate energies and the remainder as an interaction energy. In a separate procedure, via results from number theory, we express some odd-dimensional homogeneous Epstein zeta functions as products of one-dimensional sums plus a tiny remainder and calculate from them the Casimir energy via zeta function regularization.Comment: 42 pages, 3 figures. v.2: typos corrected to match published versio

Paleoclimate Implications for Human-Made Climate Change

Paleoclimate data help us assess climate sensitivity and potential human-made climate effects. We conclude that Earth in the warmest interglacial periods of the past million years was less than 1{\deg}C warmer than in the Holocene. Polar warmth in these interglacials and in the Pliocene does not imply that a substantial cushion remains between today's climate and dangerous warming, but rather that Earth is poised to experience strong amplifying polar feedbacks in response to moderate global warming. Thus goals to limit human-made warming to 2{\deg}C are not sufficient - they are prescriptions for disaster. Ice sheet disintegration is nonlinear, spurred by amplifying feedbacks. We suggest that ice sheet mass loss, if warming continues unabated, will be characterized better by a doubling time for mass loss rate than by a linear trend. Satellite gravity data, though too brief to be conclusive, are consistent with a doubling time of 10 years or less, implying the possibility of multi-meter sea level rise this century. Observed accelerating ice sheet mass loss supports our conclusion that Earth's temperature now exceeds the mean Holocene value. Rapid reduction of fossil fuel emissions is required for humanity to succeed in preserving a planet resembling the one on which civilization developed.Comment: 32 pages, 9 figures; final version accepted for publication in "Climate Change at the Eve of the Second Decade of the Century: Inferences from Paleoclimate and Regional Aspects: Proceedings of Milutin Milankovitch 130th Anniversary Symposium" (eds. Berger, Mesinger and Sijaci

Integrated Economic and Climate Modeling

This survey examines the history and current practice in integrated assessment models (IAMs) of the economics of climate change. It begins with a review of the emerging problem of climate change. The next section provides a brief sketch of the rise of IAMs in the 1970s and beyond. The subsequent section is an extended exposition of one IAM, the DICE/RICE family of models. The purpose of this description is to provide readers an example of how such a model is developed and what the major components are. The final section discusses major important open questions that continue to occupy IAM modelers. These involve issues such as the discount rate, uncertainty, the social cost of carbon, the potential for catastrophic climate change, algorithms, and fat-tailed distributions. These issues are ones that pose both deep intellectual challenges as well as important policy implications for climate change and climate-change policy

Analyzing SME's Data Visualization, Business Challenges, and Solutions: A Seven Stars Review

This comprehensive report encapsulates a thorough analysis conducted on the extensive Seven Stars dataset. Leveraging advanced data visualization techniques, the analysis has been meticulously executed to extract meaningful insights and elucidate intricate patterns within the dataset. By delving deep into the data, the report identifies a spectrum of potential business challenges that the organization may encounter, both in the present and future landscapes. These challenges encompass diverse realms such as market fluctuations, resource allocation, and operational inefficiencies. In response to the identified challenges, a robust set of solutions is proposed, tailored to address each issue methodically. Drawing upon best practices and industry expertise, these solutions aim to bolster the organization's resilience and competitiveness in the dynamic business environment. Moreover, to facilitate seamless data management and decision-making processes, a bespoke dashboard has been meticulously crafted. This intuitive dashboard serves as a centralized platform, enabling stakeholders to effortlessly manipulate and analyze data from disparate sources, thereby fostering informed decision-making and strategic planning. In essence, this paper serves as a comprehensive roadmap for the organization's data-driven journey, guiding it towards sustainable growth and success in an ever-evolving business landscape. Through diligent analysis, strategic foresight, and proactive problem-solving, the organization can chart a course towards long-term prosperity and resilience

Türkiyede İslam İnqilabı Mümkün Deyil

Belgium Herbarium image of Meise Botanic Garden

Hadoop Ecosystem Enhances Data Analytics for Music Streaming: A Case Study of User Behavior in the Last FM Dataset

This paper proposed a big data pipeline to analyze user behavior on Last.fm which aims to make data-driven recommendations for improving user engagement and attracting new users. The comprehensive analysis of user behavior in the music streaming industry using the Hadoop ecosystem and data analytics techniques. Specifically, the study focuses on Last.fm, a popular music streaming platform that collects large amounts of user activity data. The article proposes a new data pipeline utilizing Hadoop Distributed File System (HDFS) for data storage and Apache Pig for data transformation, leading to improved data preprocessing and analysis. Various analyses are conducted, including identifying the most listened to artists, top users based on song consumption and social connections, artist popularity by tags, and the most recently tagged artists. The findings provide valuable insights into user preferences, current trends, and opportunities for enhancing the recommendation algorithm and user engagement. The article concludes by offering recommendations for personalized marketing strategies and curated playlists to increase user satisfaction and revenue

Psicología organizacional: aplicación en la vida profesional

This article attempts to provide insights into the importance of organizational psychology in the workplace and also how it can help resolve conflicts in the organization and supplemented with different professional fields The authors, not psychologists, who enrolled in the final half of the Masters with a specialization in Organizational Psychology at UNMSM, expose the utility gives Organizational Psychology in their professional duties applied in the organization where they perform.El presente artículo pretende brindar luces acerca de la importancia de la Psicología Organizacional en el ámbito laboral y ayudarnos a comprender cómo ésta puede resolver conflictos en la organización complementándose con diferentes ámbitos profesionales. Los autores, no psicólogos, que cursan el último semestre de la Maestría con mención en Psicología Organizacional de la UNMSM, expondrán la utilidad que la Psicología Organizacional les brinda en su quehacer profesional aplicado en las organizaciones donde ellos se desempeñan

Flexible, but not enough: How an omnivorous ant copes with macronutrient imbalances

Omnivores may have high flexibility in adjusting their ingestion rates and degree of food selectivity to regulate the nutrient uptake and maintain homeostasis. However, if resources are limited, their ability to regulate the nutrient balance may be constrained, affecting their performance and ecological functions. Here, we studied how an omnivorous ant species, Dorymyrmex tener, deals with a nutritionally unbalanced diet, which in turn may affect population dynamics. We first, determined the elemental composition of D. tener under natural scenarios of resource variability. Then, to test how different fixed diets (in terms of C:N ratio) influence pre- and post-ingestive regulating mechanisms, we exposed colonies to two diets with different C:N ratios (18:1 and 15:1). We measured food consumption as a proxy of pre-ingestive mechanism, and phenotypic and behavioral plasticity as a proxy of post-ingestive mechanisms (i.e., body weight and C:N ratio, and activity level, predator behavior, and interspecific aggression, respectively). Finally, to determine the colony performance we assessed worker and juvenile’s mortality. We found that field colonies of D. tener maintained their homeostasis (measured as C:N ratio) despite seasonal variations in resource availability. Furthermore, experimental colonies fed a 15:1 C:N ratio diet showed a higher per capita food consumption and had marginally heavier workers compared to those fed the 18:1 diet. However, these dietary differences did not lead to detectable changes in behavioral traits such as activity levels, predation, or aggression, nor did they impact overall colony performance. Our findings suggest that this omnivorous ant possesses a well-developed regulatory mechanism for maintaining macronutrient balance, primarily through pre-ingestive strategies. However, its ability to compensate for nutritional imbalances may be constrained in environments with limited food diversity, potentially affecting its ecological performance and resilience.Fil: Alma, Andrea Marina. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina.Fil: Alma, Andrea Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.Fil: Lescano, María Natalia. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina.Fil: Lescano, María Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.Fil: Pirk, Gabriela. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina.Fil: Pirk, Gabriela. Universidad Nacional del Comahue. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.Fil: Elizalde, Luciana. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina.Fil: Elizalde, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina