Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecasting

Accurately forecasting solar power generation is crucial in the global progression towards sustainable energy systems. In this study, we conduct a meticulous comparison between Quantum Long Short-Term Memory (QLSTM) and classical Long Short-Term Memory (LSTM) models for solar power production forecasting. Our controlled experiments reveal promising advantages of QLSTMs, including accelerated training convergence and substantially reduced test loss within the initial epoch compared to classical LSTMs. These empirical findings demonstrate QLSTM's potential to swiftly assimilate complex time series relationships, enabled by quantum phenomena like superposition. However, realizing QLSTM's full capabilities necessitates further research into model validation across diverse conditions, systematic hyperparameter optimization, hardware noise resilience, and applications to correlated renewable forecasting problems. With continued progress, quantum machine learning can offer a paradigm shift in renewable energy time series prediction. This pioneering work provides initial evidence substantiating quantum advantages over classical LSTM, while acknowledging present limitations. Through rigorous benchmarking grounded in real-world data, our study elucidates a promising trajectory for quantum learning in renewable forecasting. Additional research and development can further actualize this potential to achieve unprecedented accuracy and reliability in predicting solar power generation worldwide.Comment: 17 pages, 8 figure

BIBLIOMETRIC ANALYSIS OF INNOVATIVE WORK BEHAVIOR IN INDONESIA

This research endeavors to achieve two primary objectives: first, to systematically map extant studies on innovative work behavior, and second, to elucidate emerging trends within these studies, emphasizing the Indonesian milieu. The researcher employed a bibliometric analysis, augmented by the PRISMA protocol, and conducted a comprehensive exploration of the Scopus database. The importance of this study is underscored by the distinctive innovative culture of Indonesia and its relative underrepresentation in global innovation indices. Our analysis of a curated set of 35 articles indicates a pronounced focus, predominantly spanning from 2017 to 2023, signaling an upswing in research interest or contributions during this period in Indonesia. The distribution of articles across diverse journals further corroborates the burgeoning relevance of the subject in the Indonesian context. Additionally, key terms such as "Innovative Work Behavior," accompanied by "Knowledge Sharing" and "Job Performance," dominate the discourse, underlining their pivotal role in the research landscape. Moreover, the prevailing inclination towards quantitative research methodologies, in the absence of qualitative ones, creates a methodological void. The disproportionate representation of public and business organizations in the dataset also signifies a population gap, highlighting the need for public administration research to address this gap promptly. Significantly, this study endeavors to bridge the gap in academic literature by referencing globally reputed works on innovative work behavior, with a particular emphasis on the Indonesian context, which has been largely underrepresented in scholarly discussions

The Coevolution of Platform Dominance and Governance Strategies: Effects on Complementor Performance Outcomes

Multisided platforms such as Apple’s App Store and Valve’s Steam become increasingly dominant when more end users and complement producers join their ecosystems. Despite their importance to a platform’s overall success, however, we know little about complement producers and how they are affected by a platform’s dominance trajectory: How does a platform’s increasingly dominant market position affect performance outcomes for complementors? We explore this question by conducting a multiple case study on four market leading platform ecosystems over several years. We discover that, as a platform becomes increasingly dominant, the platform sponsor’s governance strategies shift from being largely supportive of the wider complement population to becoming more selective and geared toward end users. These changes are associated with shifts in complementor performance outcomes. Although the value created at the overall ecosystem level increases as a platform gains dominance, average demand for individual complements decreases and becomes progressively concentrated. Furthermore, we find that prices for complements decline, whereas the costs complementors incur increase. These findings are particularly salient in the context of digital platform ecosystems, where platform sponsors can seamlessly alter their technological infrastructures and implement changes to extend and solidify their dominant positions.AMD Data Visualizatio

Excess Capacity in the Banking Sector and Its Effects on the Sub-Saharan Economy

The banking sector plays a critical role in driving economic growth and financial stability in any region. However, the issue of excess capacity within this sector can have a profound effect on the overall health of the economy. This study investigates the excess capacity in the banking sector within the context of the Sub-Saharan region and explores its implications on the economic performance of countries within this area. This research employed a mixed methods approach that combines both quantitative and qualitative analyses. Firstly, a review of existing literature on excess capacity in the banking sector and its impact on economies is conducted to provide a comprehensive background for the study. Next, quantitative data is collected from macroeconomic indicators, to assess the extent of excess capacity present in the Sub-Saharan banking sector

Resilience and adaptability of rice terrace social-ecological systems: A case study of a local community’s perception in Banaue, Philippines

© 2016 by the author(s). The social-ecological systems of rice terraces across Southeast Asia are the result of centuries of long-term interactions between human communities and their surrounding ecosystems. Processes and structures in these systems have evolved to provide a diversity of ecosystem services and benefits to human societies. However, as Southeast Asian countries experience rapid economic growth and related land-use changes, the remaining extensive rice cultivation systems are increasingly under pressure. We investigated the long-term development of ecosystem services and the adaptive capacity of the social-ecological system of rice terrace landscapes using a case study of Banaue (Ifugao Province, Northern-Luzon, Philippines). A set of indicators was used to describe and assess changes in the social-ecological state of the study system. The resilience of the rice terraces and the human communities that maintain them was examined by comparing the current state of the system with results from the literature. Our findings indicate that, although the social-ecological system has not yet shifted to an alternative state, pressures are increasing and some cultural ecosystem services have already been lost

Building the National Radio Recordings Database: A Big Data Approach to Documenting Audio Heritage

This paper traces strategies used by the Radio Preservation Task Force of the Library of Congress's National Recording Preservation Board to develop a publicly searchable database documenting extant radio materials held by collecting institutions throughout the country. Having aggregated metadata on 2,500 unique collections to date, the project has encountered a series of logistical challenges that are not only technical in nature but also institutional and social, raising critical issues involving organizational structure, political representation, and the ethics of data access. As the project continues to expand and evolve, lessons from its early development offer valuable reminders of the human judgment, hidden labor, and interpersonal relations required for successful big data work.Comment: 7 pages; accepted by 4th Computational Archival Science (CAS) workshop, IEEE Big Data 201

Faulty Metrics and the Future of Digital Journalism

This report explores the industry of Internet measurement and its impact on news organizations working online. It investigates this landscape through a combination of documentary research and interviews with measurement companies, trade groups, advertising agencies, media scholars, and journalists from national newspapers, regional papers, and online-only news ventures

Do principal preparation and teacher qualifications influence different types of school growth trajectories in Illinois?: A growth mixture model analysis

Purpose – The purpose of this paper is to examine the independent effects of principal background, training and experience as well as teacher academic qualifications on school proficiency growth through time. Design/methodology/approach – The authors analyzed the entire population of all elementary and middle schools in the state of Illinois, n=3,154 schools, from 2000 to 2001 through 2005-2006 using growth mixture modeling. The authors examined growth at the school level in the percentage of students meeting or exceeding standards on the Illinois Standard Achievement Test, analyzing separate models for Chicago and non-Chicago schools. Findings – The results suggest that there are two statistically significantly different latent school proficiency trajectory subgroups through the six-year time period, one high and one low, for both Chicago and non-Chicago schools. In addition, the models suggest that teacher academic qualifications, principal training, principal experience as a principal and an assistant principal, and experience of the principal as a teacher previously in their schools are significantly related to school proficiency growth over time, dependent upon school context. Practical implications – Recent studies on the independent effects of principal experience, training and teacher academic qualifications have shown inconsistent results on school achievement growth. The authors demonstrate that principal training and background may have an effect on school-level proficiency score growth. Originality/value – This study is one of the first to examine statistically different proficiency growth trajectories using an entire state-wide data set over a long-term, six-year timeframe