cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Query Processing in the Cloud for Big Data Applications Benefits and Risks
Creators: name: Fisher, Addison
name: Fisher, Addison
name: Ward, William
Publisher: name: Humanities Commons
Year: 2022
Subjects: subject: Big data
subject: Cloud computing

description: The advent of cloud computing has transformed the landscape of big data processing, offering numerous benefits and presenting certain risks. This paper explores the domain of query processing in the cloud for big data applications, elucidating the advantages and challenges associated with this paradigm shift. Benefits: Scalability: Cloud platforms provide elastic resources, allowing big data applications to scale up or down based on demand. This scalability enables organizations to process vast amounts of data without significant upfront investments in hardware. Accessibility: Cloud-based query processing offers accessibility from anywhere, promoting remote work and collaboration, and facilitating data sharing and analysis among global teams. Risks: Data Security and Privacy: Storing and processing sensitive data in the cloud can pose security and privacy risks if not properly managed. Data breaches and unauthorized access are potential concerns. Data Transfer Costs: Transferring large volumes of data to and from the cloud can result in significant costs, particularly when dealing with extensive datasets. Vendor Lock-In: Adopting cloud services can lead to vendor lock-in, making it challenging to migrate to another provider or back to on-premises infrastructure. This paper delves into these benefits and risks in detail, providing insights into strategies for mitigating the associated challenges and making informed decisions when considering query processing in the cloud for big data applications. The balance between reaping the benefits of cloud scalability and managing the associated risks is crucial in the ever-evolving landscape of big data processing.
Parental sex-dependent effects of either maternal or paternal eNOS deficiency on the offspring’s phenotype without transmission of the parental eNOS deficiency to the offspring
Creators: name: Zhang, Xiaoli
name: Reichetzeder, Christoph
name: Liu, Yvonne
name: Hocher, Johann-Georg
name: Hasan, Ahmed A.
name: Lin, Ge
name: Kleuser, Burkhard
name: Hu, Liang
name: Hocher, Berthold
Publisher: name: Freie Universität Berlin
Year: 2023
Subjects: subject: maternal and paternal programming
subject: eNOS
subject: metabolomics
subject: sex-dependent effects
subject: offspring
subject: 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie

description: Background: Preclinical animal studies and clinical studies indicate that both maternal as well as paternal genetic alterations/gene defects might affect the phenotype of the next-generation without transmissions of the affected gene. Currently, the question of whether the same genetic defect present in the mother or father leads to a similar phenotype in the offspring remains insufficiently elucidated. Methods: In this head-to-head study, we crossbred female and male mice with heterozygous endothelial eNOS knockout (eNOS+/−) with male and female wild-type (wt) mice, respectively. Subsequently, we compared the phenotype of the resulting wt offspring with that of wt offspring born to parents with no eNOS deficiency. Results: Wt female offspring of mothers with heterozygous eNOS showed elevated liver fat accumulation, while wt male offspring of fathers with heterozygous eNOS exhibited increased fasting insulin, heightened insulin levels after a glucose load, and elevated liver glycogen content. By quantitative mass-spectrometry it was shown that concentrations of six serum metabolites (lysoPhosphatidylcholine acyl C20:3, phosphatidylcholine diacyl C36:2, phosphatidylcholine diacyl C38:1, phosphatidylcholine acyl-alkyl C34:1, phosphatidylcholine acyl-alkyl C36:3, and phosphatidylcholine acyl-alkyl C42:5 (PC ae C42:5) as well as four liver carbon metabolites (fructose 6-phosphate, fructose 1,6-bisphosphate, glucose 6-phosphate and fumarate) were different between wt offspring with eNOS+/− mothers and wt offspring with eNOS+/− fathers. Importantly, fumarate was inversely correlated with the liver fat accumulation in female offspring with eNOS+/− mothers and increased liver glycogen in offspring of both sexes with eNOS+/− fathers. The qRT-PCR results revealed that the gene expression patterns were different between wt offspring with eNOS+/− mothers and those offspring with eNOS+/− fathers. Different gene expression patterns were correlated with different observed phenotypic changes in male/female offspring born to mothers or fathers with a heterozygous eNOS genotype. Conclusion: The identical parental genetic alteration (heterozygous eNOS deficiency), without being passed on to the offspring, results in distinct metabolic, liver phenotype, and gene expression pattern variations depending on whether the genetic alteration originated from the father or the mother.
General Synthesis of Alkyl Amines via Borrowing Hydrogen and Reductive Amination
Creators: name: Elfinger, Matthias
name: Bauer, Christof
name: Schmauch, Jörg
name: Moritz, Michael
name: Wichmann, Christoph
name: Papp, Christian
name: Kempe, Rhett
Publisher: name: Freie Universität Berlin
Year: 2023
Subjects: subject: amines
subject: borrowing hydrogen
subject: cobalt
subject: reductive amination
subject: scandium
subject: 500 Naturwissenschaften und Mathematik::540 Chemie::540 Chemie und zugeordnete Wissenschaften

description: Amines are a very important class of compounds and the selective synthesis of differently substituted primary, secondary and tertiary alkyl amines is challenging. Here we present the synthesis of primary, secondary, and tertiary alkyl amines from ammonia and alcohols, aldehydes, ketones and hydrogen by combining borrowing hydrogen or hydrogen autotransfer and reductive amination with hydrogen. The key is a nanostructured, bimetallic Co/Sc catalyst able to mediate both reactions or concepts efficiently. We observe a broad product scope, a very good functional group tolerance, upscaling is easily accomplished and our catalyst is reusable.
CA-SBA-1084: Archaeological Site Record for CA-SBA-1084
Creators: name: Kekich, Jessica
Year: 2002
Subjects: subject: Santa Barbara (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3486/santa-barbara-county
subject: Vandenberg Air Force Base (VAFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85469/vandenberg-air-force-base-vafb
subject: Vandenberg Space Force Base (VSFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85584/vandenberg-space-force-base-vsfb
subject: United States of America (Country)
valueUri: https://core.tdar.org/browse/geographic-keyword/384/united-states-of-america-country
subject: North America (Continent)
valueUri: https://core.tdar.org/browse/geographic-keyword/2890/north-america-continent
subject: California (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1484/california-state-territory

description: This document is the archaeological site record for CA-SBA-1084.
CA-SBA-1110: Archaeological Site Record for CA-SBA-1110
Creators: name: Kekich, Jessica
Year: 2009
Subjects: subject: Santa Barbara (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3486/santa-barbara-county
subject: Vandenberg Air Force Base (VAFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85469/vandenberg-air-force-base-vafb
subject: Vandenberg Space Force Base (VSFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85584/vandenberg-space-force-base-vsfb
subject: United States of America (Country)
valueUri: https://core.tdar.org/browse/geographic-keyword/384/united-states-of-america-country
subject: North America (Continent)
valueUri: https://core.tdar.org/browse/geographic-keyword/2890/north-america-continent
subject: California (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1484/california-state-territory

description: This document is the archaeological site record for CA-SBA-1110.
CA-SBA-1087: Archaeological Site Record for CA-SBA-1087
Creators: name: Kekich, Jessica
Year: 1998
Subjects: subject: Santa Barbara (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3486/santa-barbara-county
subject: Vandenberg Air Force Base (VAFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85469/vandenberg-air-force-base-vafb
subject: Vandenberg Space Force Base (VSFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85584/vandenberg-space-force-base-vsfb
subject: United States of America (Country)
valueUri: https://core.tdar.org/browse/geographic-keyword/384/united-states-of-america-country
subject: North America (Continent)
valueUri: https://core.tdar.org/browse/geographic-keyword/2890/north-america-continent
subject: California (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1484/california-state-territory

description: This document is the archaeological site record for CA-SBA-1087.
The Role of Big Data in Improving Artificial Intelligence Algorithms
Creators: name: Foster, Victoria
name: Foster, Victoria
name: Turner, David
Publisher: name: Humanities Commons
Year: 2022
Subjects: subject: Artificial intelligence
subject: Big data

description: In the dynamic landscape of artificial intelligence (AI), the integration of big data has emerged as a pivotal force in driving advancements and enhancing the capabilities of AI algorithms. This research paper delves into the fundamental role that big data plays in improving AI algorithms. By leveraging vast datasets, AI algorithms can be refined and optimized, resulting in more accurate predictions, deeper insights, and heightened overall performance. The paper begins by exploring the symbiotic relationship between big data and AI, emphasizing how the availability of massive datasets has become a catalyst for innovation in machine learning and deep learning. Through comprehensive data analysis, AI models can learn and adapt to complex patterns, leading to more intelligent decision-making. This research paper explores "The Role of Big Data in Improving Artificial Intelligence Algorithms" by delving into the pivotal influence that large datasets have on the development and enhancement of AI algorithms.
Additional file 3 of estimateR: an R package to estimate and monitor the effective reproductive number
Creators: name: Scire, Jérémie
name: Huisman, Jana S.
name: Grosu, Ana
name: Angst, Daniel C.
name: Lison, Adrian
name: Li, Jinzhou
name: Maathuis, Marloes H.
name: Bonhoeffer, Sebastian
name: Stadler, Tanja
Publisher: name: figshare
Year: 2024
Subjects: subject: Statistics
subject: FOS: Mathematics

description: Additional file 3: Fig. S3. Coverage and Root Mean Squared Error of Re estimates using estimateR, epidemia and EpiNow2. The rows show five scenarios of Re variations through time. A: Coverage values (fraction of replicates for which the ground truth is inside the confidence intervals). B: Root Mean Squared Error (RMSE) values.
СОВЕРШЕНСТВОВАНИЕ ХИРУРГИЧЕСКОЙ ТАКТИКИ И ЛЕЧЕНИЯ СОЧЕТАННЫХ ТРАВМ У ДЕТЕЙ
Creators: name: Шамсиев, А.М.
name: Шамсиев, Ж.З.
name: Шамсиев, Ж.А.
Publisher: name: Zenodo
Year: 2024

description: Сочетанные травмы у детей представляют собой значительную проблему в педиатрической хирургии из-за их высокой частоты и сложности. Эти травмы требуют особого подхода в диагностике и лечении, учитывая анатомо-физиологические особенности детского организма. Несмотря на достижения в медицинских технологиях и методах лечения, комбинированные травмы у детей остаются одной из ведущих причин детской заболеваемости и смертности. Важность разработки и внедрения усовершенствованных методов хирургической тактики для улучшения исходов лечения обуславливает актуальность данного исследования.
title: Firm Pay and Worker Search
Creators: name: Caldwell, Sydnee
name: Haegele, Ingrid
name: Heining, Jörg
Publisher: name: Institut für Arbeitsmarkt und Berufsforschung
publisherIdentifier: https://ror.org/02qcqwf93
publisherIdentifierScheme: ROR
Year: 2025
Subjects: subject: Beliefs
subject: Search
subject: Switching Costs
subject: Wage-Setting
subject: J00 General
subject: J3 Wages, Compensation, and Labor Costs
subject: J30 General
subject: J31 Wage Level and Structure - Wage Differentials
subject: J32 Nonwage Labor Costs and Benefits - Retirement Plans - Private Pensions

description: Whether and how workers search on the job depends on their beliefs about pay and working conditions in other firms. Yet little is known about workers’ knowledge of outside pay. We use a large-scale survey of full-time German workers, linked to their Social Security records, to elicit pay expectations and preferences over specific outside firms. Workers believe that they face considerable heterogeneity in their outside pay options, and direct their search toward firms they believe would pay them more.Workers’ expected firm-specific pay premia are highly correlated with pay policies observed in administrative records and with workers’ valuations of firm-specific amenities.Most workers are unwilling to search for a new job—or leave their current firm—even for substantial pay increases. Switching costs are equivalent to 7 to 18 percent of a worker’s annual pay. Attachment varies across firms, and cannot be explained by either differences in firm-specific amenities or switching costs.
description: Ob und wie Arbeitnehmer am Arbeitsplatz suchen, hängt von ihren Vorstellungen über die Bezahlung und die Arbeitsbedingungen in anderen Unternehmen ab. Dennoch ist wenig darüber bekannt, wie viel Arbeitnehmer tatsächlich über die Arbeitsentgelte außerhalb ihrer aktuellen Beschäftigung Bescheid wissen. Wir nutzen eine groß angelegte Umfrage unter deutschen Vollzeitbeschäftigten, welche mit Sozialversicherungsdaten verknüpft wurde, um Gehaltserwartungen und Präferenzen gegenüber bestimmten externen Unternehmen zu ermitteln. Arbeitnehmer glauben, dass sie mit erheblicher Heterogenität hinsichtlich der Vergütung bei anderen Unternehmen konfrontiert sind und richten ihre Suche nach einem neuen Arbeitsplatz auf Unternehmen aus, von denen sie ausgehen, dass diese mehr bezahlen. Die von den Arbeitnehmern erwarteten unternehmensspezifischen Lohnaufschläge korrelieren sowohl stark mit den Vergütungsschemata, die sich anhand von administrativen Daten zeigen, als auch mit der Würdigung von firmenspezifischer Annehmlichkeiten. Die meisten Arbeiter sind auch bei einer erheblichen Erhöhung des Gehalts nicht bereit, sich einen neuen Job zu suchen – oder ihr derzeitiges Unternehmen zu verlassen. Die Kosten eines Jobwechsel betragen zwischen 7 und 18 Prozent des Jahreslohns eines Arbeitnehmers. Die Zugehörigkeit zu einem Arbeitgeber variiert je nach Arbeitgeber und kann nicht anhand von Unterschieden in firmenspezifischen Annehmlichkeiten oder den Kosten des Jobwechsels erklärt werden
description: IAB-Discussion Paper, 2025-04
DIASTOLIC DYSFUNCTION OF THE RIGHT VENTRICLE IN PATIENTS WITH CHRONIC PULMONARY HEART DISEASE IN THE CONTEXT OF COMPREHENSIVE TREATMENT (EMPHASIS ON THE VASOREGULATORY FUNCTION OF THE ENDOTHELIUM)
Creators: name: Normatova, K.Sh.
name: Karimov, M.Sh.
name: Tukhtaeva, N.Kh.
name: Azimova, M.М.
Publisher: name: Zenodo
Year: 2025

description: In recent years, Uzbekistan has observed an increase in the prevalence and mortality of lung diseases complicated by pulmonary arterial hypertension (PAH) and chronic pulmonary heart disease (CPHD). For the early diagnosis, adequate prevention, and treatment of CPHD, it is essential to clarify the factors that lead to its development and exacerbate its course
HKB-Zeitung. Wo publizieren?
Creators: name: Pauli, Christian
name: Schück, Tina Daniela
name: Allenbach, Daniel
name: Wohlfender, Bettina
name: Renken, Arno
name: Bottinelli, Colin
name: Tauriainen, Riikka
name: Horst, Maria
name: Bader, Eva
name: Buder, Andreas
name: Et Al.
Publisher: name: Berner Fachhochschule BFH, Hochschule der Künste Bern
Year: 2025

description: Fand unter Ausschluss der Öffentlichkeit statt: So werden Kunstprojekte verspottet, die kein Publikum finden. Kunst produzieren heisst demnach: für ein Publikum aufbereiten. Kunst publizieren heisst auch: eine eigene Öffentlichkeit schaffen. Eine Kunstkarriere beginnt mit dem Showcase. Die dafür bereitstehenden Medien – von Ausstellungsräumen über Zeitschriften bis hin zu Spotify und Instagram – unterliegen steter Veränderung. Junge Künstler*innen müssen immer mehr Medien bedienen. Vor lauter medialer Agili- tät droht der Inhalt zu kurz zu kommen. Was heisst das für Kunststudierende? Welche medialen Plattformen passen? Welche sind nicht erreichbar? Was heisst Independent Art Publishing? Was heisst überhaupt publizieren – vom künstlerischen Erzeugnis über die Verlagsfindung und schliesslich die Promotion ist mitunter ein langer Weg. Wo und was publizieren Kunstforschende? Wie schaut es auf der Gegenseite aus, bei der Kulturberichterstattung? Das klassische Feuilleton ist tot. Im rasanten Medienwandel gehen marginale Themen wie Kunst unter. Kunst und Wissenschaft sind vom Sparhammer bedroht. Wer stopft diese Lücken? Welche Rolle kann eine Zeitung einer Hochschule spielen? Die HKB-Zeitung geht Fragen im Dunstkreis von Kunst und Medien nach, aus Sicht der Hochschule der Künste Bern und mit Blick auf deren Umfeld, wirft einen kunst- und medienkritischen Blick auf den Raum Bern. Uns nimmt wunder, wie jüngere Akteur*innen publizieren. Wir lassen aber auch erfahrenere Publizist*innen zu Wort kommen. Brüche tun sich auf, aber auch Kontinuitäten werden erkennbar. In diesem Sinne: Spass beim Lesen dieser Publikation. (Editorial)
Adaptive Query Processing in Big Data Workloads: Learning from Data
Creators: name: Lewis, Elijah
name: Martinez, Harper
name: Martinez, Harper
Publisher: name: Humanities Commons
Year: 2021
Subjects: subject: Big data

description: In the era of big data, the efficient processing of complex and resource-intensive queries has become a critical challenge. Traditional query optimization techniques often fall short of providing satisfactory performance when dealing with massive datasets and complex query workloads. To address these issues, this paper explores the concept of adaptive query processing, wherein query optimization strategies are dynamically adjusted based on insights gained from the data itself. We present a comprehensive study of adaptive query processing techniques tailored to big data workloads. Through the analysis of real-world big data scenarios, we examine the limitations of conventional query optimization methods and highlight the need for more flexible and data-driven approaches. Our research focuses on leveraging machine learning and statistical analysis to adapt query optimization strategies on the fly. This paper also discusses practical implementations of adaptive query processing within popular big data platforms and databases, showcasing real-world performance improvements achieved through these adaptive strategies. This abstract outlines the key points and objectives of a hypothetical research paper on adaptive query processing in the context of big data workloads, emphasizing the importance of learning from data to optimize query performance. The actual content and findings of the paper will be elaborated upon in the full paper.
Additional file 1 of estimateR: an R package to estimate and monitor the effective reproductive number
Creators: name: Scire, Jérémie
name: Huisman, Jana S.
name: Grosu, Ana
name: Angst, Daniel C.
name: Lison, Adrian
name: Li, Jinzhou
name: Maathuis, Marloes H.
name: Bonhoeffer, Sebastian
name: Stadler, Tanja
Publisher: name: figshare
Year: 2024
Subjects: subject: Statistics
subject: FOS: Mathematics

description: Additional file 1: Fig. S1. Summary of Re inference on simulated data without added observation noise, obtained with and without an initial smoothing step. Each row corresponds to a different scenario of Re changes through time. The first column shows the ground truth as a black line, and the median (lines) and lower and upper bounds of the 95% confidence interval (ribbons) of Re estimates obtained over 100 replicates, with (purple) and without (blue) an initial smoothing step, respectively. The second column shows corresponding coverage values (fraction of replicates for which the ground truth is inside the confidence intervals) and the third column shows root mean squared error (RMSE) values for each scenario.
Efficient Query Processing Techniques for Big Data Analytics
Creators: name: Hall, Grace
name: King, Benjamin
name: King, Benjamin
Publisher: name: Humanities Commons
Year: 2021
Subjects: subject: Big data

description: In the era of big data, organizations are inundated with vast volumes of data from diverse sources. To extract meaningful insights and drive informed decisions, efficient query processing techniques are essential. This abstract provides an overview of the challenges associated with big data analytics and introduces various techniques that have been developed to address them. Big data analytics necessitates the processing of massive datasets, often characterized by three Vs: volume, velocity, and variety. Traditional database management systems are ill-equipped to handle such data due to their limited scalability and processing capabilities. As a result, novel approaches are required to enable efficient query processing in the context of big data. This abstract discusses the key challenges faced in big data analytics, including data storage, data retrieval, and data processing. To address these challenges, several techniques have been developed. These techniques encompass distributed data storage, parallel processing, and data indexing. The utilization of distributed storage systems like Hadoop Distributed File System (HDFS) and NoSQL databases allows for efficient storage of large datasets. Parallel processing frameworks, such as Apache Spark, enable the simultaneous execution of queries across distributed clusters, significantly improving query performance. Data indexing, whether using traditional B-tree indexes or specialized index structures like columnar databases, enhances query retrieval speed by minimizing data scanning. The abstract also highlights the importance of machine learning and artificial intelligence techniques in big data analytics. Machine learning algorithms, such as deep learning and natural language processing, facilitate predictive analytics and sentiment analysis on big data, enabling organizations to gain valuable insights from unstructured data sources.
Social Entrepreneurship and Broader Theories: A Critical Reassessment and Future Agenda
Creators: name: Zeyen, Anica
name: Beckmann, Markus
name: Mueller, Susan
Publisher: name: Taylor & Francis
Year: 2025
Subjects: Social Entrepreneurship
Social Entrepreneurship Theory
Social Entrepreneurship Practice
Social Entrepreneurship Education
Social Entrepreneurship Performance
Critical Appraisal

description: In 2013, following an AOM workshop on “Social Entrepreneurship and Broader Theories,” we published essays challenging dominant economic, business, and entrepreneurship concepts. We revisit them to reflect on the field’s evolution and remaining gaps. Two essays take a macro perspective, exploring adaptive societies and the tragedy of the commons. Two examine the managerial level, discussing limited practical impact and the need for stronger blended performance metrics. Two focus on entrepreneurship, examining a shift toward community-venture paradigms and critiquing traditional business model tools. Together, they invite a rethinking of the when, why, what, and how of social entrepreneurship research and practice.
CA-SBA-1109: Archaeological Site Record for CA-SBA-1109
Creators: name: Kekich, Jessica
Year: 1974
Subjects: subject: Santa Barbara (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3486/santa-barbara-county
subject: Vandenberg Air Force Base (VAFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85469/vandenberg-air-force-base-vafb
subject: Vandenberg Space Force Base (VSFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85584/vandenberg-space-force-base-vsfb
subject: United States of America (Country)
valueUri: https://core.tdar.org/browse/geographic-keyword/384/united-states-of-america-country
subject: North America (Continent)
valueUri: https://core.tdar.org/browse/geographic-keyword/2890/north-america-continent
subject: California (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1484/california-state-territory

description: This document is the archaeological site record for CA-SBA-1109.
CA-SBA-1117: Archaeological Site Record for CA-SBA-1117
Creators: name: Kekich, Jessica
Year: 2009
Subjects: subject: Santa Barbara (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3486/santa-barbara-county
subject: Vandenberg Air Force Base (VAFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85469/vandenberg-air-force-base-vafb
subject: Vandenberg Space Force Base (VSFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85584/vandenberg-space-force-base-vsfb
subject: United States of America (Country)
valueUri: https://core.tdar.org/browse/geographic-keyword/384/united-states-of-america-country
subject: North America (Continent)
valueUri: https://core.tdar.org/browse/geographic-keyword/2890/north-america-continent
subject: California (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1484/california-state-territory

description: This document is the archaeological site record for CA-SBA-1117.
Unleashing the Power of Big Data: A Catalyst for Advancements in Artificial Intelligence
Creators: name: Mitchell, Aria
name: Murphy, Samuel
name: Murphy, Samuel
Publisher: name: Humanities Commons
Year: 2022
Subjects: subject: Big data
subject: Artificial intelligence

description: In an era marked by the rapid accumulation of digital information, the interplay between big data and artificial intelligence (AI) has become a catalyst for transformative advancements. This abstract provides an overview of our comprehensive exploration into the profound impact of big data on the evolution of AI. This paper investigates how the volume, variety, and velocity of big data are empowering AI to reach unprecedented levels of sophistication. Big data-driven innovations, including deep learning, natural language processing, and predictive analytics, are redefining industries and driving efficiency, personalization, and data-driven decision-making. By understanding the intricacies of this relationship, this research aims to serve as a compass for AI practitioners, researchers, and policymakers. The synergistic journey of big data and AI holds the key to a future of unprecedented innovation and societal transformation, provided it is navigated with a commitment to responsible, ethical, and transparent development. The fusion of big data and artificial intelligence (AI) represents a transformative synergy that is reshaping industries and research alike. This abstract provides an overview of a comprehensive study that explores the pivotal role big data plays as a catalyst for advancements in AI. By analyzing how large-scale data is harnessed, processed, and integrated into AI systems, this research showcases the profound impact of this collaboration.
CA-SBA-1082: Archaeological Site Record for CA-SBA-1082
Creators: name: Kekich, Jessica
Year: 2023
Subjects: subject: Santa Barbara (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3486/santa-barbara-county
subject: Vandenberg Air Force Base (VAFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85469/vandenberg-air-force-base-vafb
subject: Vandenberg Space Force Base (VSFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85584/vandenberg-space-force-base-vsfb
subject: United States of America (Country)
valueUri: https://core.tdar.org/browse/geographic-keyword/384/united-states-of-america-country
subject: North America (Continent)
valueUri: https://core.tdar.org/browse/geographic-keyword/2890/north-america-continent
subject: California (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1484/california-state-territory

description: This document is the archaeological site record for CA-SBA-1082.
CA-SBA-1105: Archaeological Site Record for CA-SBA-1105
Creators: name: Kekich, Jessica
Year: 2009
Subjects: subject: Santa Barbara (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3486/santa-barbara-county
subject: Vandenberg Air Force Base (VAFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85469/vandenberg-air-force-base-vafb
subject: Vandenberg Space Force Base (VSFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85584/vandenberg-space-force-base-vsfb
subject: United States of America (Country)
valueUri: https://core.tdar.org/browse/geographic-keyword/384/united-states-of-america-country
subject: North America (Continent)
valueUri: https://core.tdar.org/browse/geographic-keyword/2890/north-america-continent
subject: California (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1484/california-state-territory

description: This document is the archaeological site record for CA-SBA-1105.
CA-SBA-1112: Archaeological Site Record for CA-SBA-1112
Creators: name: Kekich, Jessica
Year: 1974
Subjects: subject: Santa Barbara (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3486/santa-barbara-county
subject: Vandenberg Air Force Base (VAFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85469/vandenberg-air-force-base-vafb
subject: Vandenberg Space Force Base (VSFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85584/vandenberg-space-force-base-vsfb
subject: United States of America (Country)
valueUri: https://core.tdar.org/browse/geographic-keyword/384/united-states-of-america-country
subject: North America (Continent)
valueUri: https://core.tdar.org/browse/geographic-keyword/2890/north-america-continent
subject: California (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1484/california-state-territory

description: This document is the archaeological site record for CA-SBA-1112.
The Relationship Between Diet Quality, Nutrition Self-Efficacy and Sources of Nutrition Information in Australian Pregnant Women: A Cross-Sectional Analysis
Creators: name: Phillips, Akela
name: Bucher, Tamara
name: Pristijono, Penta
name: Fenton, Sasha
Publisher: name: Sage
Year: 2025
Subjects: Observational cross-sectional study. Setting: Online survey Australian Eating Survey measured diet quality
Ralf Schwarzer and Britta Renner nutrition self-efficacy scale measured nutrition self-efficacy pregnant women
pregnancy
diet quality
dietary intake
self-efficacy
nutrition information pregnancy
diet
nutrition

description: Purpose To assess diet quality and nutrition self-efficacy in pregnant women, the relationship between diet quality and nutrition self-efficacy, and differences in diet quality and self-efficacy when information obtained from health and non-health professionals. Design Observational cross-sectional study. Setting Online survey. Sample Australian pregnant women. Measures Australian Eating Survey measured diet quality, Ralf Schwarzer and Britta Renner nutrition self-efficacy scale measured nutrition self-efficacy. Analysis Spearman’s correlation measured the association between diet quality and nutrition self-efficacy. Linear regression examined the influence of nutrition self-efficacy on diet quality. T-tests examined differences in diet quality and nutrition self-efficacy scores in groups who did/did not obtain nutrition information from health professionals. Results Participants (n = 171) (mean (SD) age 32.5 (3.9) years, 81.9% born in Australia) reported a mean diet quality score of 33.9 (8.7) out of 73 and mean nutrition self-efficacy score of 14.7 (3.7) out of 20. A moderate positive linear relationship was observed between diet quality and nutrition self-efficacy (rs = 0.27, P < .001). Nutrition information was obtained by 88%, most commonly via the internet. Diet quality scores were not significantly different when nutrition information was obtained from health professionals (t(24) = −0.823, P = .32), however, nutrition self-efficacy scores were significantly higher (U = 856, z = 2.18, P = .03). Conclusion Pregnant women report poor diet quality. Improving nutrition self-efficacy may be effective for improving diet quality. Evidence-based nutrition information should be accessible via the internet and promoted by health authorities.
Transforming Industries with Big Data-Powered AI: Case Studies and Insights
Creators: name: Nelson, Ava
name: Nelson, Ava
name: White, Andrew
Publisher: name: Humanities Commons
Year: 2022
Subjects: subject: Big data
subject: Artificial intelligence

description: This research paper explores the pivotal role of Big Data in advancing the field of Artificial Intelligence (AI) and delves into the opportunities, challenges, and wider implications associated with this intersection. As AI continues to evolve, the demand for massive datasets and sophisticated algorithms has grown exponentially. Big Data, characterized by its volume, velocity, variety, and veracity, provides a rich source of information to enhance AI capabilities. The paper begins by elucidating the fundamental connection between Big Data and AI, highlighting how large-scale datasets are essential for training, validating, and improving AI models. It underscores the significance of structured and unstructured data from diverse sources, including social media, IoT devices, and healthcare records, in shaping AI's learning and decision-making processes. The paper also explores the potential for AI to revolutionize data analysis, enabling the discovery of hidden insights, patterns, and correlations that were previously unattainable.
title: Narkosefühung bei Glaukompatienten
Creators: name: Frese, Friederike
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: 610 Medical sciences; Medicine

description: Das Glaukom muss in der Narkoseplanung Beachtung finden um Maßnahmen und Medikamente, die den intraoculären Druck (IOD) steigern, zu vermeiden. IOD-Steigerung ist z.B. durch Ketamin, Succinylcholin, Hyperkapnie, Hypoxie, Husten und Pressen zu erwarten[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 30. Internationaler Kongress der Deutschen Ophthalmochirurgen
Additional file 1 of Chromosome-level genome assembly of Oncomelania hupensis: the intermediate snail host of Schistosoma japonicum
Creators: name: Liu, Qin
name: Duan, Lei
name: Guo, Yun-Hai
name: Yang, Li-Min
name: Zhang, Yi
name: Li, Shi-Zhu
name: Lv, Shan
name: Hu, Wei
name: Chen, Nan-Sheng
name: Zhou, Xiao-Nong
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Evolutionary Biology
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 1: Table S1. General statistics for O. hupensis by Hi-C assisted assembly. Table S2. Hi-C assisted assembly for O. hupensis genome. Table S3. Information statistics for O. hupensis genome assembly. Table S4. BUSCO results for O. hupensis genome. Table S5. Summary of mapping statistics. Table S6. General statistics of gene prediction. Table S7. Statistics of repeat sequence annotated by different software. Table S8. Statistics of repeat sequence classification. Table S9. Statistics of non-coding RNA annotation. Table S10. Gene family clustering. Table S11. Significantly expanded gene family (P < 0.05) GO enrichment of O. hupensis. Table S12. Protein-coding genes under KEGG positive selection in O. hupensis (FDR < 0.05) (partly). Table S13. Gene number of the positive selection in O. hupensis and other species.
Adhesive joint formation between porous wood adherends with one-component polyurethane part 1
Creators: name: Wick, Adrian Willi
name: Lehmann, Martin
name: Volkmer, Thomas
Publisher: name: Taylor & Francis Group
Year: 2025
Subjects: Adhesive joint formation
1C-PUR
pressing pressure distribution
surface geometry
surface processing
wood bonding

description: Modern timber engineering is based on homogenised, strength-graded timber elements, mainly bonded with different types of adhesives. The actual development and increasing meaning of the wood construction would not have been possible without the adhesive technology. The following paper presents some of the results of a comprehensive study of the impact of a number of selected process parameters on the formation, quality and performance of glue lines. To ensure consistent production quality, the bonding geometry (glue line thickness) should be kept constant. The tested adhesive joint quality based on tensile shear tests according to EN 302–1, supported by microscopic analyses, shows that the pressing pressure leads to the overpressing of unevenness, compaction of the adhesive and suppression of blistering in one-component polyurethane adhesives. The penetration depth of the adhesive is not affected by the variation of the pressure. Delamination tests according to EN 302–2 to assess durability in combination with the prevailing pressure distribution show no obvious correlation. However, it does provide an indication that the surface preparation and treatment exert a crucial influence on the bond geometry and therefore on durability.
title: Ganz ohne Komplikationsmanagement geht es auch in der Kontaktologie nicht!
Creators: name: Kuhn, Dorothea
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: 610 Medical sciences; Medicine

description: Obwohl wir in der modernen Kontaktologie höchstwertige Materialien mit extrem hoher Sauerstoffdurchlässigkeit verwenden und durch hochpräzise Vermessung der Hornhaut ideale Linsengeometrien herstellbar sind, treten immer noch zu viele und zu schwere Kontaktlinsenkomplikationen auf. Complianceprobleme[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 30. Internationaler Kongress der Deutschen Ophthalmochirurgen
CA-SBA-1083: Archaeological Site Record for CA-SBA-1083
Creators: name: Kekich, Jessica
Year: 1973
Subjects: subject: Santa Barbara (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3486/santa-barbara-county
subject: Vandenberg Air Force Base (VAFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85469/vandenberg-air-force-base-vafb
subject: Vandenberg Space Force Base (VSFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85584/vandenberg-space-force-base-vsfb
subject: United States of America (Country)
valueUri: https://core.tdar.org/browse/geographic-keyword/384/united-states-of-america-country
subject: North America (Continent)
valueUri: https://core.tdar.org/browse/geographic-keyword/2890/north-america-continent
subject: California (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1484/california-state-territory

description: This document is the archaeological site record for CA-SBA-1083.
title: Licht, geänderte optische Korrekturen – neue Strategien zur Myopiehemmung
Creators: name: Schaeffel, Frank
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: 610 Medical sciences; Medicine

description: Zielsetzung: Analyse neuer nicht invasiver Möglichkeiten, den Beginn und die Progression einer jugendlichen Myopie hinaus zu zögern.    Methoden:      Licht: Untersuchungen des Einflusses von Licht unterschiedlicher Helligkeit und spektraler Zusammensetzung auf die Entwicklung experimentell[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 30. Internationaler Kongress der Deutschen Ophthalmochirurgen
Data from: Analysis of chloroplast genomes of ten Central Asian Fritillaria species and their phylogenetic relationships
Creators: name: Karimov, Bobur
name: Asatulloev, Temur
name: Buxorov, G'iyos
name: Turginov, Orzimat
name: Naralieva, Nasibakhon
name: Azimova, Dilnoza
name: Tojibaev, Komiljon
name: Yusupov, Ziyoviddin
Publisher: name: Zenodo
Year: 2024
Subjects: Protein-coding genes
Fritillaria

description: Fritillaria is a taxonomically complex genus of Liliaceae that contains many important ornamental and medicinal species. In this study, we sequenced the chloroplast genomes of ten Fritillaria species distributed in Central Asia and compared them to previously sequenced Fritillaria cp genomes. Comparison of 36  Fritillaria species' cp genomes identified as useful potential molecular markers due to their high level of divergence three coding regions and 11 intergenic spacers. Effective single sequence repeats (SSRs) for population genetic studies of Fritillaria were also identified. Phylogenetic analysis showed that two recently described species, F. baisunensis and F. rugillosa belong to subg. Rhinopetalum, and that the membership of F. ussuriensis and F. meleagroides in subg. Fritillaria should be revised. These two species and F. camschatsencese currently assigned to subg. Liliorhiza, should be members of the same taxonomic unit. Subg. Liliorhiza, although a small group, is more complicated that it was previously thought, and apparently comprises species too distant to be in one subgenus. F. maximowischii, currently assigned to subg. Liliorhiza should be treated as a new subgenus.
description: Funding provided by: Academy of Sciences Republic of UzbekistanROR ID: https://ror.org/01xgfaw76Award Number:
title: Notfalltelefon und Dringlichkeit
Creators: name: Papadopoulos, Gudrun
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: 610 Medical sciences; Medicine

description: Eine notfallmäßige telefonische Vorstellung des Patienten schnell und sicher einzuordnen und entsprechende Maßnahmen einzuleiten, ist notwendig für eine adäquate Patientenversorgung. Wie dringlich die Beschwerden eines Patienten am Telefon sind ist nicht immer leicht zu differenzieren.[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 30. Internationaler Kongress der Deutschen Ophthalmochirurgen
CA-SBA-1094: Archaeological Site Record for CA-SBA-1094
Creators: name: Kekich, Jessica
Year: 1967
Subjects: subject: Santa Barbara (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3486/santa-barbara-county
subject: Vandenberg Air Force Base (VAFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85469/vandenberg-air-force-base-vafb
subject: Vandenberg Space Force Base (VSFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85584/vandenberg-space-force-base-vsfb
subject: United States of America (Country)
valueUri: https://core.tdar.org/browse/geographic-keyword/384/united-states-of-america-country
subject: North America (Continent)
valueUri: https://core.tdar.org/browse/geographic-keyword/2890/north-america-continent
subject: California (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1484/california-state-territory

description: This document is the archaeological site record for CA-SBA-1094.
Elastic Query Processing for Big Data Analytics: Auto-scaling Solutions
Creators: name: Adams, Samuel
name: Adams, Samuel
name: Wright, Amelia
Publisher: name: Humanities Commons
Year: 2022
Subjects: subject: Big data

description: The advent of big data has revolutionized the field of data analytics, enabling organizations to extract valuable insights from vast and diverse datasets. However, the dynamic nature of big data workloads poses a significant challenge for traditional data processing systems, which often struggle to efficiently handle fluctuating query loads. To address this issue, the concept of elastic query processing has emerged as a crucial solution. This paper provides an in-depth exploration of auto-scaling solutions for big data analytics, highlighting the principles, techniques, and technologies that enable elastic query processing. Elastic query processing involves the automatic adjustment of computing resources to match the specific demands of incoming queries. This adaptation ensures optimal performance, resource utilization, and cost efficiency, making it a pivotal capability in today's data-driven world. The paper investigates various aspects of elastic query processing, including the following key points: Challenges in Big Data Analytics, Auto-Scaling Strategies, Architectural Considerations, Key Technologies and Tools, Security and Data Governance, and Future Directions, This comprehensive examination of elastic query processing serves as a valuable resource for data engineers, architects, and decision-makers seeking to enhance their organization's data processing capabilities. By understanding the principles and technologies underpinning auto-scaling solutions, businesses can adapt to the ever-evolving landscape of big data analytics, ensuring they harness the full potential of their data assets.
CA-SBA-1108: Archaeological Site Record for CA-SBA-1108
Creators: name: Kekich, Jessica
Year: 2009
Subjects: subject: Santa Barbara (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3486/santa-barbara-county
subject: Vandenberg Air Force Base (VAFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85469/vandenberg-air-force-base-vafb
subject: Vandenberg Space Force Base (VSFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85584/vandenberg-space-force-base-vsfb
subject: United States of America (Country)
valueUri: https://core.tdar.org/browse/geographic-keyword/384/united-states-of-america-country
subject: North America (Continent)
valueUri: https://core.tdar.org/browse/geographic-keyword/2890/north-america-continent
subject: California (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1484/california-state-territory

description: This document is the archaeological site record for CA-SBA-1108.
Five iron spear sockets, with wood remains
Creators: name: Hamerow, Helena
Publisher: name: University of Oxford
Year: 2021
Subjects: Archaeology

description: 5 fragmentary spear sockets, broken off from spears but not joinable to any of the existing spearheads.Sp.U.67 - sandy, and almost certainly Gilton.Sp.U.68 - a piece of middle socket, with v. well preserved wood in situ - sandy, Gilton?Sp.U.69-71 - same wood, all probably from chalk sites.
title: Individualisierte Patientenversorgung. Vergleich verschiedener Blended-Vision-Implantationsvarianten mit rotationsasymmetrischen multifokalen Intraokularlinsen (P, B)
Creators: name: Breyer, Detlev
name: Kaymak, Hakan
name: Klabe, Karsten
name: Hagen, Philipp
name: Kretz, Florian
name: Auffarth, Gerd
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: 610 Medical sciences; Medicine

description: Zielsetzung: Ziel dieser Studie war der Vergeich der binokularen Visusergebnisse nach bilateraler Implantation verschiedener segmentaler MIOL (Oculentis). Dabei wurde die emmetrope Varianten mit einem Überblendvisus verglichen.    Methode: Es wurde immer die Comfort mit 1,5 dpt Addition und Zielrefraktion[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 30. Internationaler Kongress der Deutschen Ophthalmochirurgen
A Comprehensive Study of Big Data's Impact on AI Advancements
Creators: name: Thompson, Lily
name: Turner, Lucas
Publisher: name: Humanities Commons
Year: 2022
Subjects: subject: Big data
subject: Artificial intelligence

description: In the era of big data, the interplay between data analytics and artificial intelligence has ushered in a new paradigm of technological innovation and scientific discovery. This comprehensive study delves into the multifaceted relationship between big data and AI, aiming to illuminate the profound impact of large-scale data on the evolution and advancement of artificial intelligence technologies. The study delves into the challenges and opportunities posed by the growing volume, velocity, and variety of data, highlighting the methods and strategies used to harness this resource effectively. This study concludes by synthesizing findings and offering insights into the future trajectory of big data's influence on AI.