Knowledge organization

Since Svenonius analyzed the research base in bibliographic control in 1990, the intervening years have seen major shifts in the focus of information organization in academic libraries. New technologies continue to reshape the nature and content of catalogs, stretch the boundaries of classification research, and provide new alternatives for the organization of information. Research studies have rigorously analyzed the structure of the Anglo- American Cataloguing Rules using entity-relationship modeling and expanded on the bibliographic and authority relationship research to develop new data models (Functional Requirements for Bibliographic Records [FRBR] and Functional Requirements and Numbering of Authority Records [FRANAR]). Applied research into the information organization process has led to the development of cataloguing tools and harvesting ap- plications for bibliographic data collection and automatic record creation. A growing international perspective focused research on multilingual subject access, transliteration problems in surrogate records, and user studies to improve Online Public Access Catalog (OPAC) displays for large retrieval sets resulting from federated searches. The need to organize local and remote electronic resources led to metadata research that developed general and domain-specific metadata schemes. Ongoing research in this area focuses on record structures and architectural models to enable interoperability among the various schemes and differing application platforms. Research in the area of subject access and classification is strong, covering areas such as vocabulary mapping, automatic facet construction and deconstruction for Web resources, development of expert systems for automatic classifica- tion, dynamically altered classificatory structures linked to domain-specific thesauri, crosscultural conceptual structures in classification, identification of semantic relationships for vocabulary mapped to classification systems, and the expanded use of traditional classification systems as switching languages in the global Web environment. Finally, descriptive research into library and information science (LIS) education and curricula for knowl- edge organization continues. All of this research is applicable to knowledge organization in academic and research libraries. This chapter examines this body of research in depth, describes the research methodologies employed, and identifies areas of lacunae in need of further research

Linking to Our Future: Cataloging & Metadata in Transition

This slide presentation gives a very brief overview of the development of the Web from its inception as ARPANET to the Semantic Web. The presentation then discusses Linked Data and its uses on the Web. It also gives a scenario of how linked data would work in libraries and its potential to expand access to library resources by making them discoverable through Web search engines such as Google. The presentation focuses on the metadata transition necessary to accomplish this type of global access

Research Data and Linked Data: A New Future for Technical Services?

This book chapter examines two futures for academic librarians working in access (technical) services: deeper collaboration on data management with faculty and student researchers and expanded access to library resources on the Semantic Web. Both are concerned with data organization, discovery, access, and support of shared data beyond the library. The chapter examines many aspects of research data from the perspectives of researchers and librarians. It briefly examines events prior to the library\u27s greater involvement with research data, looks at how librarians gained fundamental knowledge and skills to assist with the tasks involved with research data curation, and discusses why researchers began to place more emphasis on data management. It then examines the stages of the data life cycle, the components of a data management plan, the purpose of application profiles, and the usefulness of standardized vocabularies and ontologies. The chapter then discusses the connection between the Semantic Web and linked data and how this integrates with research data, standards, the library catalog and its future for the shared library. Metadata is a common factor among all these topics. The chapter concludes with a discussion of options for librarians to expand their data expertise or retool for a new future

The Metadata Education and Research Information Commons (MERIC): A Collaborative Teaching and Research Initiative

The networked environment forced a sea change in Library and Information Science (LIS) education. Most LIS programs offer a mixed-mode of instruction that integrates online learning materials with more traditional classroom pedagogical methods and faculty are now responsible for developing content and digital learning objects. The teaching commons in a networked environment is one way to share, modify and repurpose learning objects while reducing the costs to educational institutions of developing course materials totally inhouse. It also provides a venue for sharing ideas, practices, and expertise in order to provide the best learning experience for students. Because metadata education has been impacted by rapid changes and metadata research is interdisciplinary and diffuse, the Metadata Education and Research Information Commons (MERIC) initiative aims to provide a virtual environment for sharing and collaboration within the extensive metadata community. This paper describes the development of MERIC from its origin as a simple clearinghouse proof-of-concept project to a service-oriented teaching and research commons prototype. The problems of enablers and barriers to participation and collaboration are discussed and the need for specific community building research is cited as critical for the success of MERIC within a broad metadata community

A need for speed: Objectively identifying full-body kinematic and neuromuscular features associated with faster sprint velocities

Sprinting is multifactorial and dependent on a variety of kinematic, kinetic, and neuromuscular features. A key objective in sprinting is covering a set amount of distance in the shortest amount of time. To achieve this, sprinters are required to coordinate their entire body to achieve a fast sprint velocity. This suggests that a whole-body kinematic and neuromuscular coordinative strategy exists which is associated with improved sprint performance. The purpose of this study was to leverage inertial measurement units (IMUs) and wireless surface electromyography (sEMG) to find coordinative strategies associated with peak over-ground sprint velocity using machine learning. We recruited 40 healthy university age sprint-based athletes from a variety of athletic backgrounds. IMU and sEMG data were used as inputs into a principal components analysis (PCA) to observe major modes of variation (i.e., PC scores). PC scores were then used as inputs into a stepwise multivariate linear regression model to derive associations of each mode of variation with peak sprint velocity. Both the kinematic (R2 = 0.795) and sEMG data (R2 = 0.586) produced significant multivariate linear regression models. The PCs that were selected as inputs into the multivariate linear regression model were reconstructed using multi-component reconstruction to produce a representation of the whole-body movement pattern and changes in the sEMG waveform associated with faster sprint velocities. The findings of this work suggest that distinct features are associated with faster sprint velocity. These include the timing of the contralateral arm and leg swing, stance leg kinematics, dynamic trunk extension at toe-off, asymmetry between the right and left swing side leg and a phase shift feature of the posterior chain musculature. These results demonstrate the utility of data-driven frameworks in identifying different coordinative features that are associated with a movement outcome. Using our framework, coaches and biomechanists can make decisions based on objective movement information, which can ultimately improve an athlete’s performance.Natural Sciences and Engineering Research Council (NSERC) of Canada & Brock Library Open Access Publishing Fun

An evaluation of the Goddard Space Flight Center Library

The character and degree of coincidence between the current and future missions, programs, and projects of the Goddard Space Flight Center and the current and future collection, services, and facilities of its library were determined from structured interviews and discussions with various classes of facility personnel. In addition to the tabulation and interpretation of the data from the structured interview survey, five types of statistical analyses were performed to corroborate (or contradict) the survey results and to produce useful information not readily attainable through survey material. Conclusions reached regarding compatability between needs and holdings, services and buildings, library hours of operation, methods of early detection and anticipation of changing holdings requirements, and the impact of near future programs are presented along with a list of statistics needing collection, organization, and interpretation on a continuing or longitudinal basis

Increase of dissolved inorganic carbon and decrease in pH in near-surface waters in the Mediterranean Sea during the past two decades

Two 3-year time series of hourly measurements of the fugacity of CO2 (fCO2) in the upper 10 m of the surface layer of the northwestern Mediterranean Sea have been recorded by CARIOCA sensors almost two decades apart, in 1995–1997 and 2013–2015. By combining them with the alkalinity derived from measured temperature and salinity, we calculate changes in pH and dissolved inorganic carbon (DIC). DIC increased in surface seawater by ∼25 µmol kg−1 and fCO2 by 40 µatm, whereas seawater pH decreased by ∼0.04 (0.0022 yr−1). The DIC increase is about 15 % larger than expected from the equilibrium with atmospheric CO2. This could result from natural variability, e.g. the increase between the two periods in the frequency and intensity of winter convection events. Likewise, it could be the signature of the contribution of the Atlantic Ocean as a source of anthropogenic carbon to the Mediterranean Sea through the Strait of Gibraltar. We then estimate that the part of DIC accumulated over the last 18 years represents ∼30 % of the total inventory of anthropogenic carbon in the Mediterranean Sea

Prevalence and prenatal ultrasound detection of clubfoot in a non-selected population: an analysis of 549 931 births in Tuscany

Objective: To evaluate the prevalence and prenatal ultrasound detection of clubfoot in Tuscany during a period of 20 years. Methods: This is a descriptive analysis on data from the Tuscan register of congenital defects, covering a 20-year period from 1992 to 2011. The Tuscan registry of congenital defects is a population-based register for the epidemiologic surveillance of congenital anomalies. The study included all cases of pre- or postnatally diagnosed clubfoot (isolated clubfoot and cases associated with other congenital defects). Overall prevalence and pre-natal detection rates were calculated. Results: Among the 549 931 deliveries recorded in Tuscany between 1992 and 2011, 858 cases of clubfoot were registered, with a prevalence of 1.56/1000. Seventy-eight percent of cases were isolated. The detection rate was higher when the defect was associated with other anomalies compared to isolated forms. Over the study period, there was a substantial improvement in the prenatal detection of clubfoot (from 11 to 31% overall). For isolated forms, detection rate improved from 4 to 16%, and for cases associated with other congenital defects, it increased from 43 to 73%. Conclusion: Prevalence of clubfoot in Tuscany is 1.56 per 1000 births, in agreement with the incidence reported in epidemiological studies in Europe. Prenatal detection of clubfoot improved over time. The detection rate was higher in cases associated with other anomalies

Guselkumab for treatment of moderate-to-severe plaque psoriasis: real-life effectiveness and drug-survival for up to 148 weeks

Background: Real-world data are useful to guide the management of psoriasis. Here, we present data on the effectiveness and survival of guselkumab in moderate-to-severe chronic plaque psoriasis for up to 148 weeks. Research design and methods: Cross-sectional study of 122 patients receiving guselkumab (100 mg at weeks 0 and 4, and then every 8 weeks thereafter) for>12 weeks, from November 2018 to April 2022. Main outcome measures: Clinical features and drug survival were analyzed up to 148 weeks. Results: Obese patients (32.8%) and those receiving prior biologics (64.8%) were included. Guselkumab treatment was associated with a rapid decrease in PASI, from 16.2 to 3.2 at week 12, and long-term improvements in all subgroups (97.6%, 82.9%, and 63.4% of patients, respectively, achieved PASI 75, 90, and 100 after 148 weeks). More non-obese than obese patients achieved PASI 100 at week 148 (86.4% vs 38.9%), as did bio-naïve vs bio-experienced patients (86.7% vs 50.0%). Previous biologic therapy was a negative prognostic factor for achieving PASI 100 over the long-term by multivariate analysis (p = 0.005). Overall, 96% of patients were on treatment after 2 years. Conclusions: Real-world data confirm the long-term effectiveness of guselkumab in patients with psoriasis

Glycine Signaling in the Framework of Dopamine-Glutamate Interaction and Postsynaptic Density. Implications for Treatment-Resistant Schizophrenia

Treatment-resistant schizophrenia (TRS) or suboptimal response to antipsychotics affects almost 30% of schizophrenia (SCZ) patients, and it is a relevant clinical issue with significant impact on the functional outcome and on the global burden of disease. Among putative novel treatments, glycine-centered therapeutics (i.e. sarcosine, glycine itself, D-Serine, and bitopertin) have been proposed, based on a strong preclinical rationale with, however, mixed clinical results. Therefore, a better appraisal of glycine interaction with the other major players of SCZ pathophysiology and specifically in the framework of dopamine – glutamate interactions is warranted. New methodological approaches at cutting edge of technology and drug discovery have been applied to study the role of glycine in glutamate signaling, both at presynaptic and post-synaptic level and have been instrumental for unveiling the role of glycine in dopamine-glutamate interaction. Glycine is a non-essential amino acid that plays a critical role in both inhibitory and excitatory neurotransmission. In caudal areas of central nervous system (CNS), such as spinal cord and brainstem, glycine acts as a powerful inhibitory neurotransmitter through binding to its receptor, i.e. the Glycine Receptor (GlyR). However, glycine also works as a co-agonist of the N-Methyl-D-Aspartate receptor (NMDAR) in excitatory glutamatergic neurotransmission. Glycine concentration in the synaptic cleft is finely tuned by glycine transporters, i.e. GlyT1 and GlyT2, that regulate the neurotransmitter's reuptake, with the first considered a highly potential target for psychosis therapy. Reciprocal regulation of dopamine and glycine in forebrain, glycine modulation of glutamate, glycine signaling interaction with postsynaptic density proteins at glutamatergic synapse, and human genetics of glycinergic pathways in SCZ are tackled in order to highlight the exploitation of this neurotransmitters and related molecules in SCZ and TRS