Logistic business continuity in termos od information efficiency

W artykule zamierza się dokonać swego rodzaju retrospekcji związanej z osobistymi, wieloletnimi doświadczeniami autora w projektowaniu i wdrażaniu wielu systemów informatycznych wspomagających procesy logistyczne w SZ RP oraz w gospodarce narodowej. Retrospekcja wzbogacona wieloma nowoczesnymi rozwiązaniami technologicznymi wyznacza kilka strategii informacyjnych, których ramy pozwalają na zapewnianie ciągłości działania systemów logistyki w organizacjach złożonych i w odniesieniu do indywidualnych interesariuszy. Stąd akcentuje się tzw. „info-preformizm” odnoszący się do uniwersalnych atrybutów systemu informacyjnego logistyki oraz oczekiwań odbiorcy końcowego, ale z silną weryfikacją ich trafności w określonym czasie i miejscu poprzez wykorzystanie zasobów informacyjnych własnych i gromadzonych w cyberprzestrzeni oraz stosowanie zaawansowanych modeli ich eksploracji dla generowania wiedzy, zapewniającej bezpieczeństwo i ciągłość działania całego łańcucha dostaw. W artykule podjęto więc problem badawczy związany z możliwością zapewniania ciągłości działania logistyki poprzez szerokie wykorzystanie współczesnych rozwiązań teleinformatycznych usprawniających procesy informacyjne. Przyjęto zatem hipotezę o silnym wpływie tej klasy rozwiązań na sposób funkcjonowania całego systemu logistyki dowolnego podmiotu. Cel badań związany jest bezpośrednio z weryfikacją przyjętej hipotezy, co zostało zilustrowane przez wykorzystanie metody analizy systemowej oraz modelowania uniwersalnych rozwiązań. Zaprezentowane strategie informacyjne stanowią logiczny ciąg rozwojowy systemów informacyjnych i określają etapy tworzenia kompleksowych narzędzi wspierających różne obszary i fazy funkcjonowania logistyki. Prezentowane narzędzia informatyczne stanowią ważny komponent współczesnych systemów logistyki wzmacniający ich efektywność oraz użyteczność, funkcjonalność i niezawodność.

Information encoded in volumes and areas of dendritic spines is nearly maximal across mammalian brains

Long-term information associated with neuronal memory resides in dendritic spines. However, spines can have a limited size due to metabolic and neuroanatomical constraints, which should effectively limit the amount of encoded information in excitatory synapses. This study investigates how much information can be stored in the sizes of dendritic spines, and whether is it optimal in any sense? It is shown here, using empirical data for several mammalian brains across different regions and physiological conditions, that dendritic spines nearly maximize entropy contained in their volumes and surface areas for a given mean size. This result is essentially independent of the type of a fitting distribution to size data, as both short- and heavy-tailed distributions yield similar nearly 100 % information efficiency in the majority of cases, although heavy-tailed distributions slightly better fit the data. On average, the highest information is contained in spine volume, and the lowest in spine length or spine head diameter. Depending on a species and brain region, a typical spine can encode between 6.1 and 10.8 bits of information in its volume, and 3.1-8.1 bits in its surface area. Our results suggest a universality of entropy maximization in spine volumes and areas, which can be a new principle of memory storing in synapses.

Information Efficiency of the European CO2 Trading Market in the Period 2008-2021

This work examined the information efficiency of the European CO2 trading market for the period 2008-2021. The analysis is based on the singular value decomposition (SVD) approach and the task is to test whether the dynamics of logarithmic price differences are consistent with a random process. The results showed that the information efficiency changes over time and scales, which is in line with adaptive market hypothesis notions. High market efficiency was exhibited in Phase II (2008-2012), but large deviations from efficiency, especially for quarterly scale, were exhibited in Phase III. However, Phase IV has shown a behavior that is consistent with the information efficiency. The findings in the present study suggest that the European carbon market is gradually attaining a state of financial maturity.

Using Machine Learning to Compare the Information Needs and Interactions of Facebook: Taking Six Retail Brands as an Example

This study explores the interactive characteristics of the public, referencing existing data mining methods. This research attempts to develop a community data mining and integration technology to investigate the trends of global retail chain brands. Using social media mining and ensemble learning, it examines key image cues to highlight the various reasons motivating participation by fans. Further, it expands the discussion on image and marketing cues to explore how various social brands induce public participation and the evaluation of information efficiency. This study integrates random decision forests, extreme gradient boost, and adaboost for statistical verification. From 1 January 2011 to 31 December 2019, the studied brands published a total of 25,538 posts. The study combines community information and participation in its research framework. The samples are divided into three categories: retail food brand, retail home improvement brand, and retail warehouse club brand. This research draws on brand image and information cue theory to design the theoretical framework, and then uses behavior response factors for the theoretical integration. This study contributes a model that classifies brand community posts and mines related data to analyze public needs and preferences. More specifically, it proposes a framework with supervised and ensemble learning to classify information users′ behavioral characteristics.

XBRL Adoption and Capital Market Information Efficiency

As a common standard for global business reporting, eXtensible Business Reporting Language (XBRL) can make up for the deficiencies of traditional financial reports in terms of standardized disclosure and information use costs, and provide firm-specific information to report users, reduce the level of corporate stock price synchronicity, and then improve capital market information allocation efficiency. Based on the financial data of Chinese listed companies from 2005 to 2011, this paper mainly focuses on the impact of XBRL adoption on stock price synchronicity.

XBRL Adoption and Capital Market Information Efficiency

As a common standard for global business reporting, eXtensible Business Reporting Language (XBRL) can make up for the deficiencies of traditional financial reports in terms of standardized disclosure and information use costs, and provide firm-specific information to report users, reduce the level of corporate stock price synchronicity, and then improve capital market information allocation efficiency. Based on the financial data of Chinese listed companies from 2005 to 2011, this paper mainly focuses on the impact of XBRL adoption on stock price synchronicity.

Fast Tomography: A greedy, heuristic, mesh size–independent methodology for local velocity reconstruction for AE waves in distance decaying environment in semi real-time

Tomographic reconstruction is an important step toward visualization, identification and quantification of local damage through of structural elements. We have developed mathematical guiding principles for passive wave tomography. We have then utilized these guiding principles to develop a novel technique: Fast Tomography for computational and information efficiency in tomographic reconstruction with passive stress waves in a distance decaying (sensing) environment. In fast tomography, (i) a node-independent travel path is developed for computational efficiency and (ii) Apriori ranking of AE events using power spectral entropy (PSE) of the AE waveform to distinguish waveforms with high information content for tomographic reconstruction for information efficiency are proposed. Fast Tomography was studied theoretically and experimentally to benchmark the proposed method in terms of computational and information efficiency. Our algorithm provides a significant (>100x) improvement of computational efficiency over an existing approach. And a PSE-based ranking system for AE events enhances information efficiency by 50% as compared to a non-ranked system. Finally, we have validated the application of our method with intractably generated AE events in an accelerated damage test of a steel fiber–reinforced concrete beam.