scholarly journals Change: Watch For The Right Time

2020 ◽  
Author(s):  
Caryl Ward ◽  
Jill E. Dixon
Keyword(s):  
Learning Curves ◽  
Collection Development ◽  
Department Heads ◽  
University Libraries ◽  
Budget Cuts ◽  
Revision Process ◽  
Library System ◽  
Internal Forces ◽  
The Right ◽  
Binghamton University

Collection budgets are an essential tool for building collections yet the amounts of allocations can ebb and flow over the years. Modifying the budget structure is an intimidating, exhausting exercise with administrative and political ramifications that affect the workload of collections librarians as well as the workflows in acquisitions departments. External and internal forces such as impending budget cuts and serials reviews, a new library system, new department heads, newly minted librarians’ learning curves, and the creation or demolition of big deals seem like roadblocks to a budget revision process. They can also be seized as opportunities to look at new models. Libraries get by with the allocations provided in any given year, but would it be better for the collections if the approach to allocations was more flexible from the beginning, more of a proactive allocation instead of reactive? At Binghamton University Libraries, the hiring of a new Head of Collection Development and migrating to a new library system necessitated collaborative conversations concerning structures and roles for the two departments. This paper presents scenarios and recommendations for determining when and how to collaboratively evaluate a legacy budget structure, redefine allocations, and review staff roles.

LATERAL VIBRATIONS OF BEAMS ON AN ELASTIC BASE AT CHANGING THE SUPPORTING CONDITIONS

2020 ◽  
Vol 91 (5) ◽  
pp. 70-76
Author(s):  
E.V. LEONTIEV ◽  
◽  
Keyword(s):  
Dynamic Behavior ◽  
Elastic Foundation ◽  
Dynamic Problem ◽  
Static Problem ◽  
Elastic Base ◽  
Design Model ◽  
Lateral Vibrations ◽  
Internal Forces ◽  
Vibration Loads ◽  
The Right

The paper considers the system "beam - elastic foundation", in which a beam with free edges was at first on a solid elastic foundation, but when a defect suddenly forms in the foundation under the right side of the beam, part of foundation was removed from design model. As a result of calculations performed by the method of initial parameters, the displacements and internal forces for the static problem are determined. The dynamic problem of determining the forces and displacements was solved, taking into account the three vibration loads F (t) = F sinγt applied at arbitrary points d when the conditions for supporting the right side of the beam on an elastic foundation were changed, the values of the dynamics coefficients were determined. Conditions are formulated that must be taken into account when analyzing the dynamic behavior of a structure under the influence of vibration loads in the case of a change in the conditions of bearing on an elastic foundation.

scholarly journals Learning Curves: A Novel Approach for Robustness Improvement of Load Forecasting

2021 ◽  
Vol 5 (1) ◽  
pp. 38
Author(s):  
Chiara Giola ◽  
Piero Danti ◽  
Sandro Magnani
Keyword(s):  
Load Forecasting ◽  
Learning Curves ◽  
Machine Learning Techniques ◽  
Essential Information ◽  
Set Size ◽  
Novel Approach ◽  
Learning Techniques ◽  
Energy Plant ◽  
Definition Of ◽  
The Right

In the age of AI, companies strive to extract benefits from data. In the first steps of data analysis, an arduous dilemma scientists have to cope with is the definition of the ’right’ quantity of data needed for a certain task. In particular, when dealing with energy management, one of the most thriving application of AI is the consumption’s optimization of energy plant generators. When designing a strategy to improve the generators’ schedule, a piece of essential information is the future energy load requested by the plant. This topic, in the literature it is referred to as load forecasting, has lately gained great popularity; in this paper authors underline the problem of estimating the correct size of data to train prediction algorithms and propose a suitable methodology. The main characters of this methodology are the Learning Curves, a powerful tool to track algorithms performance whilst data training-set size varies. At first, a brief review of the state of the art and a shallow analysis of eligible machine learning techniques are offered. Furthermore, the hypothesis and constraints of the work are explained, presenting the dataset and the goal of the analysis. Finally, the methodology is elucidated and the results are discussed.

Interviews with collection development managers

2015 ◽  
Vol 34 (4) ◽  
pp. 134-135
Author(s):  
Kay Ann Cassell
Keyword(s):  
Design Methodology ◽  
Collection Development ◽  
University Libraries ◽  
Yale University ◽  
Content Type ◽  
Princeton University ◽  
Development Officers

Purpose – The purpose of this paper is to present interviews of two collection development managers: David Magier, Princeton University and Daniel Dollar, Yale University. Design/methodology/approach – The approach was interviews. Findings – These interviews showed what goes into the thinking of collection development officers in large university libraries. There are probably more similarities than differences. Originality/value – This is the first of a series of interviews with collection development managers.

scholarly journals NON-RIGID KINEMATIC EXCITATION FOR MULTIPLY-SUPPORTED SYSTEM WITH HOMOGENEOUS DAMPING

2018 ◽  
Vol 14 (4) ◽  
pp. 152-157
Author(s):  
Alexander G. Tyapin
Keyword(s):  
Mass Matrix ◽  
Equations Of Motion ◽  
Linear Equations ◽  
Internal Damping ◽  
Static Response ◽  
Kinematic Excitation ◽  
Hand Part ◽  
Internal Forces ◽  
The Right ◽  
Damping Model

This paper continues the discussion of linear equations of motion. The author considers non-rigid kinematic excitation for multiply-supported system leading to the deformations in quasi-static response. It turns out that in the equation of motion written down for relative displacements (relative displacements are defined as absolute displacements minus quasi-static response) the contribution of the internal damping to the load in some cases may be zero (like it was for rigid kinematical excitation). For this effect the system under consideration must have homogeneous damping. It is the often case, though not always. Zero contribution of the internal damping to the load is different in origin for rigid and non-rigid kinematic excitation: in the former case nodal loads in the quasi-static response are zero for each element; in the latter case nodal loads in elements are non-zero, but in each node they are balanced giving zero resulting nodal loads. Thus, damping in the quasi-static response does not impact relative motion, but impacts the resulting internal forces. The implementation of the Rayleigh damping model for the right-hand part of the equation leads to the error (like for rigid kinematic excitation), as damping in the Rayleigh model is not really “internal”: due to the participation of mass matrix it works on rigid displacements, which is impossible for internal damping

CONTRIBUTIONS OF THE RIGHT AND LEFT MESIAL TEMPORAL LOBES TO MUSIC MEMORY: EVIDENCE FROM MELODIC LEARNING DIFFICULTIES

2008 ◽  
Vol 25 (4) ◽  
pp. 303-314 ◽  
Author(s):  
SARAH J. WILSON ◽  
MICHAEL M. SALING
Keyword(s):  
Learning Difficulties ◽  
Learning Task ◽  
Learning Curves ◽  
Memory Impairments ◽  
Temporal Lobes ◽  
Patient Groups ◽  
Left And Right ◽  
Mesial Temporal Lobe ◽  
The Right ◽  
Musical Context

THE AIM OF THIS STUDY WAS TO ASSESS the effects of left- and right-sided MTL damage on melodic memory using a newly developed arbitrary relational learning task. Participants included patients with MTL damage, patient controls,musicians, and musician controls. The learning curves of these groups showed striking differences, with right MTL patients failing to learn tonal (easy) melody pairs. Both patient groups had difficulty learning nontonal (hard) pairs. Performance was greatest for the musicians, particularly for the nontonal melody pairs. These differences were not primarily attributable to pitch discrimination or pitch working memory impairments. The findings point to differential contributions of the left and right mesial temporal lobes to melodic memory, with specificity of the right mesial temporal lobe emerging for melodic learning within a tonal musical context.

Factors influencing collection development process at the University of Nairobi Library

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Grace Wambui Kamau ◽  
Aggrey Luyiya Elegwa
Keyword(s):  
Development Policy ◽  
Development Process ◽  
Research Output ◽  
Background Information ◽  
Collection Development ◽  
University Libraries ◽  
Content Type ◽  
University Library ◽  
Factors Influencing ◽  
The University

PurposeThe purpose of this study was to investigate the factors influencing the collection development process at the University of Nairobi library and suggest ways for improvement.Design/methodology/approachA qualitative approach was employed to collect, analyze and interpret data from collection development librarians at the University of Nairobi purposively selected. Data were collected through structured interviews and documentary review. Data were analyzed using content analysis and descriptive statistics.FindingsThe study established that the library has a written collection development policy which was revised in 2014 and is strictly adhered to. However, the policy has a gap on the role of faculty as stakeholders in the selection process. In addition, the criteria for selection are not explicitly stated. Findings also indicate that budget allocation, collection development policy, user demands, quality of staff, library consortium and the Public Procurement and Asset Disposal Act of 2015 influence the collection development process at the University of Nairobi Library.Research limitations/implicationsThe study was conducted in one public university library in Kenya. However, the findings may be applicable in similar university libraries in the country.Practical implicationsThe findings of this study may benefit students and faculty in the University of Nairobi from improved collection development process that would ensure that their information needs are met in a timely manner. This would lead to improved research output by students and faculty and ultimately improved research output by the university. University library management may also benefit in improving the collection development process, thereby making it more economical. The findings may also be useful in decision-making and policy development on matters pertaining to collection development at the University of Nairobi and other universities. Furthermore, the findings may be used by researchers to provide context and background information for future research on collection development in public universities locally and regionally.Originality/valueThis paper fulfills the need to make the collection development process in university libraries more efficient by proposing ways of addressing the challenges experienced.

Collection Development Policy for E-resources in University Libraries: A Study

2018 ◽  
Vol 8 (1) ◽  
pp. 64-68
Author(s):  
Sajini Priya Natarajan
Keyword(s):  
Resource Sharing ◽  
Development Policy ◽  
Collection Development ◽  
University Libraries ◽  
Electronic Resources ◽  
Development Policies ◽  
Selection Of ◽  
Selection Tools ◽  
Library Collections

This article describes about the Collection Development Policies in University libraries. Collection Development Policy included for Electronic Resources in University libraries, Major Roles in the Selection of Library Collections and the important Selection Tools for Print and Electronic forms, Criteria for Selecting the Book suppliers and Order of Books and Details of the collections in the library for the preceding five years. The Inter library lending/ resource sharing facility for books with other and Subscribe to e-resources.

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