Library Impact Research Report: Understanding and Communicating Research Impact: The Needs of STEM and Health Sciences Faculty and Postdoctoral Researchers

2021 ◽  
Author(s):  
Negeen Aghassibake ◽  
Lynly Beard ◽  
Jackie Belanger ◽  
Diana Louden ◽  
Robin Chin Roemer ◽  
...  
Keyword(s):  
Research Impact ◽  
Health Sciences ◽  
Future Research ◽  
Research Report ◽  
Library Impact ◽  
The University ◽  
Postdoctoral Researchers ◽  
Impact Framework ◽  
The Impact

As part of ARL’s Research Library Impact Framework initiative, the University of Washington (UW) Libraries explored UW faculty and postdoctoral researcher needs for understanding and communicating the impact of their work, with a focus on researchers in science, technology, engineering, and math (STEM) and health sciences fields. The project was designed to understand the challenges researchers face in this area, identify how participants in these fields define and measure impact, and explore their priorities for research-impact support. The project team conducted a survey and follow-up interviews to investigate these questions. This research report presents the project team’s methodology, findings, and recommendations for future research.

Using Deep Learning to Understand Travel Demands in Different Urban Districts

2021 ◽  
pp. 036119812199458
Author(s):  
Shunhua Bai ◽  
Junfeng Jiao
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Prediction Accuracy ◽  
Travel Demand ◽  
Short Term Memory ◽  
Future Research ◽  
Demand Forecast ◽  
Time And Space ◽  
The University ◽  
The Impact

Travel demand forecast plays an important role in transportation planning. Classic models often predict people’s travel behavior based on the physical built environment in a linear fashion. Many scholars have tried to understand built environments’ predictive power on people’s travel behavior using big-data methods. However, few empirical studies have discussed how the impact might vary across time and space. To fill this research gap, this study used 2019 anonymous smartphone GPS data and built a long short-term memory (LSTM) recurrent neural network (RNN) to predict the daily travel demand to six destinations in Austin, Texas: downtown, the university, the airport, an inner-ring point-of-interest (POI) cluster, a suburban POI cluster, and an urban-fringe POI cluster. By comparing the prediction results, we found that: the model underestimated the traffic surge for the university in the fall semester and overestimated the demand for downtown on non-working days; the prediction accuracy for POI clusters was negatively related to their adjacency to downtown; and different POI clusters had cases of under- or overestimation on different occasions. This study reveals that the impact of destination attributes on people’s travel demand can vary across time and space because of their heterogeneous nature. Future research on travel behavior and built environment modeling should incorporate the temporal inconsistency to achieve better prediction accuracy.

Library Impact Practice Brief: Freshman Fellows: Implementing and Assessing a First-Year Primary-Source Research Program

2021 ◽  
Author(s):  
Margaret Burri ◽  
Joshua Everett ◽  
Heidi Herr ◽  
Jessica Keyes
Keyword(s):  
Primary Source ◽  
Structured Interview ◽  
First Year ◽  
Special Collections ◽  
Johns Hopkins University ◽  
College Career ◽  
Library Impact ◽  
Teaching Learning ◽  
The University ◽  
Impact Framework

This practice brief describes the assessment project undertaken by the Sheridan Libraries at Johns Hopkins University as part of the library’s participation in ARL’s Research Library Impact Framework initiative to address the question “(How) do the library’s special collections specifically support and promote teaching, learning, and research?” The research team investigated how the Freshman Fellows experience impacted the fellows’ studies and co-curricular activities at the university. Freshmen Fellows, established in 2016, is a signature opportunity to expose students to primary-source collections early in their college career by pairing four fellows with four curators on individual research projects. The program graduated its first cohort of fellows in spring 2020. The brief includes a semi-structured interview guide, program guidelines, and a primary research rubric.

Post-occupancy evaluation of outdoor spaces on the campus of the Federal University of Juiz de Fora, Brazil

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ana Clara Carvalho Tourinho ◽  
Sabrina Andrade Barbosa ◽  
Özgür Göçer ◽  
Klaus Chaves Alberto
Keyword(s):  
Critical Role ◽  
Future Research ◽  
Content Type ◽  
University Campuses ◽  
Post Occupancy Evaluation ◽  
Outdoor Spaces ◽  
The University ◽  
The Impact ◽  
Practical Implications

PurposeUsing the campus of a Brazilian university as case study, this research aims to identify which aspects of the outdoor spaces are the most significant in attracting people.Design/methodology/approachThis research relies on the application of different post-occupancy evaluation (POE) methods, including user tracking, behavioural mapping and questionnaires, on one plateau of the campus.FindingsThree group of aspects (socialization, proximity and infrastructure) were identified as key elements in explaining the impact of the campus physical characteristics on users’ behaviour. The results indicate that having characteristics of at least one group of aspects in those spaces can guarantee their vitality and, if there is presence of attributes of more than one group, liveliness can be increased.Research limitations/implicationsFurther studies should be conducted on an entire campus to identify other spatial elements in the three groups.Practical implicationsThis research contributes to the planning of future campuses and to solutions to the existed ones, indicating the most relevant spatial characteristics to be considered. Additionally, the combination of different methods may be useful to future research.Originality/valueMost of the investigations on the university campuses focus on the buildings, and little research has investigated the outdoor spaces, although they play a critical role in learning and academic life, where people establish social, cultural and personal relationships. In addition, studies using several POE allowed a consistent and complete diagnostic about the aspects of the campus, giving recommendations for future projects.

scholarly journals Library Impact Practice Brief: Supporting Bibliometric Data Needs at Academic Institutions

2020 ◽  
Author(s):  
Shannon Gordon ◽  
Alison Hitchens
Keyword(s):  
Service Providers ◽  
Lessons Learned ◽  
Data Sources ◽  
Campus Community ◽  
Bibliometric Data ◽  
Institutional Level ◽  
Research Libraries ◽  
Library Impact ◽  
The University ◽  
Impact Framework

This practice brief presents research conducted by staff at the University of Waterloo Library as part of the library’s participation in ARL’s Research Library Impact Framework initiative. The research addressed the question, “How can research libraries support their campus community in accessing needed bibliometric data for institutional-level purposes?” The brief explores: service background, partners, service providers and users, how bibliometric data are used, data sources, key lessons learned, and recommended resources.

scholarly journals The Evolution of Data Sharing Practices in the Psychological Literature

2021 ◽  
Author(s):  
Judith Neve ◽  
Guillaume A Rousselet
Keyword(s):  
Data Sharing ◽  
Linear Models ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Future Research ◽  
Science Data ◽  
Editorial Policies ◽  
Psychological Science ◽  
The Impact

Sharing data has many benefits. However, data sharing rates remain low, for the most part well below 50%. A variety of interventions encouraging data sharing have been proposed. We focus here on editorial policies. Kidwell et al. (2016) assessed the impact of the introduction of badges in Psychological Science; Hardwicke et al. (2018) assessed the impact of Cognition’s mandatory data sharing policy. Both studies found policies to improve data sharing practices, but only assessed the impact of the policy for up to 25 months after its implementation. We examined the effect of these policies over a longer term by reusing their data and collecting a follow-up sample including articles published up until December 31st, 2019. We fit generalized additive models as these allow for a flexible assessment of the effect of time, in particular to identify non-linear changes in the trend. These models were compared to generalized linear models to examine whether the non-linearity is needed. Descriptive results and the outputs from generalized additive and linear models were coherent with previous findings: following the policies in Cognition and Psychological Science, data sharing statement rates increased immediately and continued to increase beyond the timeframes examined previously, until reaching close to 100%. In Clinical Psychological Science, data sharing statement rates started to increase only two years following the implementation of badges. Reusability rates jumped from close to 0% to around 50% but did not show changes within the pre-policy nor the post-policy timeframes. Journals that did not implement a policy showed no change in data sharing rates or reusability over time. There was variability across journals in the levels of increase, so we suggest future research should examine a larger number of policies to draw conclusions about their efficacy. We also encourage future research to investigate the barriers to data sharing specific to psychology subfields to identify the best interventions to tackle them.

Improvement of Acupuncture Therapy on Relapse of P atients with G outy A rthritis: A Pairwise and Bayesian Network Meta analysis

2021 ◽  
Author(s):  
Zhihui Li ◽  
Min Chen ◽  
Chunzhi Tang
Keyword(s):  
Acupuncture Therapy ◽  
Bayesian Network ◽  
Meta Analysis ◽  
Gouty Arthritis ◽  
Serum Urate ◽  
Cochrane Library ◽  
Future Research ◽  
Fire Needle ◽  
The Impact

Objective: The aim of this study is to investigate the impact of acupuncturetherapy on relapse of patients with gouty arthritis (GA). Methods: “gout ORgouty arthritis” AND “a cupuncture therapy OR acupuncture OR moxibustionOR electroacupuncture OR fire needle OR acupotomology OR blood lettingpuncture OR plum blossom needle” were used as search strategies forsearching related studies. Twenty two studies involving 2394 patient s wereenrolled in this research through the analysis of databases of CNKI, Wanfang,VIP, PubMed, Embase and Cochrane Library. Results: The results of pairwise metaanalysis and network meta analysis (NMA) indicated that patients withacupuncture therapy had a significantly lower relapse rate (RR) compared withthose without acupuncture therapy (OR = 0.21, 95% CI: 0.16 0.26, P <0.00001); the follow up time (TFU) and serum urate concentration (SUA)before treatment had no significant effect on the reductio n of RR caused byacupuncture therapy (P > 0.05); and patients treated with acupuncture plusWestern medicine (WM) had the lowest RR (surface under the cumulativeranking [SUCRA] = 85.0%), followed by acupuncture plus traditional Chinesemedicine (TCM, SUC RA = 73.5%), acupuncture only (SUCRA = 72.8%),fourthly acupuncture plus TCM and WM (SUCRA = 33.0%), then TCM(SUCRA = 28.7%), finally WM (SUCRA = 7.0%). Conclusion: Our findingmay facilitate the application of acupuncture therapy in patients with GA. Ourresearch also offered some information for the future research.

Analysis of cell signaling during floral abscission in arabidopsis

2017 ◽  
Author(s):  
◽  
Isaiah Taylor
Keyword(s):  
Protein Degradation ◽  
Future Research ◽  
Loss Of Function ◽  
Kinase Gene ◽  
University Of Missouri ◽  
Gene Map ◽  
Map Kinase Phosphatase ◽  
Floral Abscission ◽  
The University ◽  
The Impact

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The shedding of plant organs is known as abscission. Floral abscission in Arabidopsis is regulated by two related receptor[negation symbol]-like protein kinases (RLKs), HAESA and HAESA[negation symbol-like 2 (HAE/HSL2). Double mutants of HAE/HSL2 are completely defective in abscission and retain sepals, petals, and stamen indefinitely. We have utilized genetic suppressor screens of hae hsl2 mutant to identify additional regulatory mechanisms of floral abscission. We have uncovered a series of gain-of-function alleles of the receptor-like protein kinase gene SERK1, as well as loss of function alleles of the gene MAP-KINASE-PHOSPHATASE-1/MKP1. We further show that mutation of two components of the endoplasmic reticulum-associated protein degradation system can suppress a weak hae hsl2 mutant, suggesting that the weak hae hsl2 mutant receptor proteins undergo ER-associated protein degradation. We further perform a number of experiments to examine the impact of phosphorylation on the activity of HAE. These results provide a number of important mechanistic details to our understanding of floral abscission, and suggest many lines of inquiry for future research.

The Impact of Culture on University–Industry Knowledge Interaction in the Chinese MNC Context

2010 ◽  
pp. 295-320
Author(s):  
Jianzhong Hong ◽  
Johanna Heikkinen ◽  
Mia Salila
Keyword(s):  
Future Research ◽  
Transfer Of Knowledge ◽  
Global Competitiveness ◽  
Work In Process ◽  
Industry Collaboration ◽  
The University ◽  
Different Cultures ◽  
The Impact ◽  
Collaborative Knowledge ◽  
University Industry

Recent studies on university–industry collaboration have paid a growing attention to complementary knowledge interaction, which is of crucial importance for networked learning and knowledge co-creation needed in today’s rapidly changing markets and for gaining global competitiveness. The existent studies concentrate on the transfer of knowledge from the university to the company, and the impact of culture is examined with a focus on fundamentally different cultures between two types of organizations (i.e., between universities and firms). The studies, however, remain highly fragmented in cultural exploration on one level, and are primarily concerned with one-way technology and knowledge transfer. Research on more interactive knowledge interaction (e.g., collaborative knowledge creation) and especially in the Chinese context is seriously lacking. This chapter explores university–industry knowledge interaction in a broad sense, focusing on the development of a conceptual view on the understanding and analysis of the cultural impact in the Chinese MNC context. The chapter is an early work in process and it is theoretical in nature. It clarifies and elaborates key concepts and perspectives, and suggests implications for future research and practice regarding effective knowledge co-creation involving dissimilar cultures.

215 Laser Thermal Ablation for Mesiotemporal Epilepsy: Relation of Ablation Cavities to Seizure and Neurocognitive Outcomes

Neurosurgery ◽  
2017 ◽  
Vol 64 (CN_suppl_1) ◽  
pp. 258-258
Author(s):  
Walter J Jermakowicz ◽  
Samir Sur ◽  
Iahn Cajigas ◽  
Pierre D’Haese ◽  
Jonathan R Jagid
Keyword(s):  
Seizure Freedom ◽  
Neurocognitive Deficits ◽  
Common Reference ◽  
Ablation Volume ◽  
Contrast Enhanced ◽  
The University ◽  
The Impact ◽  
Radiographic Data ◽  
Fine Tune

Abstract INTRODUCTION Laser interstitial thermal therapy (LiTT) has dramatically changed the management of mesiotemporal epilepsy (mTLE) in recent years. The goal of this study was to identify features of ablations and trajectories that correlate with optimal seizure control and minimize the risk of neurocognitive deficits in patients undergoing LiTT for mTLE. METHODS Clinical and radiographic data were reviewed from a prospectively maintained database of patients undergoing LiTT for epilepsy at the University of Miami. Standard preoperative and postoperative evaluations, including contrast-enhanced MRI and neurocognitive testing, were performed in all patients. Laser trajectory and ablation volumes were computed both by manual tracing of mesiotemporal structures and by nonrigid registration of ablation cavities to a common reference system based on 7T MRI data. RESULTS >Of the 28 patients with at least 1-year follow-up, sparing of the mesial hippocampal head was significantly correlated with persistent disabling seizures (P = 0.01). Projecting all ablation cavities onto a common reference frame showed a clear tendency towards lateral placement of the laser with inadequate mesial hippocampal head ablation in these patients compared to those free of seizures. Patients that suffered deficits in memory, on the other hand, tended to have larger ablations with greater insult to entorrhinal and perirhinal cortex than those free of memory deficits. CONCLUSION Better understanding of the impact of ablation volume and location through the use of image normalization tools could potentially fine-tune this novel technique to improve seizure-freedom rates and associated neurocognitive deficits.

P6544A real world study of high frequency atrial anti-tachycardia pacing in new algorithm for atrial arrhythmia

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Fukunaga ◽  
T Morinaga ◽  
K Yamaji ◽  
M Nagashima ◽  
K Ando
Keyword(s):  
Real World ◽  
Atrial Arrhythmia ◽  
Independent Effect ◽  
Future Research ◽  
Time Interval ◽  
Single Episode ◽  
Preventive Pacing ◽  
Cardiac Devices ◽  
The Impact

Abstract Background Advanced pacemakers feature atrial antitachycardia pacing (aATP) therapies for terminating atrial arrhythmia. Previous studies showed the efficacy of combined atrial preventive pacing and aATP in patients with pacemakers. The independent effect of aATP and the impact for patients outside the clinical trials has not been well elucidated. Methods In a single center, prospective, all-comers trial, we enrolled 567 patients implanted cardiac devices with Reactive ATP function. History of permanent atrial fibrillation (AF) was not included. After device interrogation of the AF burden and the longest AF duration in the last 6 months, aATP was programmed as a bit more aggressive setting than MINERVA trial (time interval was set as every 2 hours). As for newly implanted devices, aATP was activated after at least 3 months run-in period. Primary and secondary outcomes were the longest AF duration and cumulative percentage of progression into permanent AF, respectively. Results Of 541 eligible patients, aged 75.3±10.7 years, 356 pacemaker, 82 ICD and 103 CRT patients, the longest single episode of AF lasted ≤6 min in 439 patients (81.1%), >6 min to 6 h in 43 (8.0%), >6–24 h in 33 (6.1%), and >24 h in 26 (4.8%) at the enrollment. During mean follow-up of 1.9 years, the longest AF episode lasted >24 h in 49 patients (9.1%) and 14 patients (2.6%) progressed into permanent AF. According with baseline longest single episode of AF, patients with AF ≤6 min developed an episode >24 h in 0.8% at 1 year and 3.2% at 2 years follow up; patients with AF >6 min to 6 h developed an episode >24 h in none at 1 year and 7% at 2 years follow up; and patients with AF >6–24 h developed an episode >24 h in 19% at 1 year and 42% at 2 years follow up, respectively. In a subgroup analysis of in 192 patients with at least 1 aATP, 46 patients with high efficacy (>44%) did not developed an episode >24 h. Only one patient developed into permanent AF without aATP therapy. On multivariate analysis, neither ICD nor CRT was independent risk factor for developing the longest AF episode >24 h. Conclusions The independent use of aATP without atrial preventive pacing was effective for preventing AF progression in a real world cohort. Even without the previous AF episodes, aATP could prevent AF development, especially in patients showing high aATP efficacy. Future research is required to enhance the aATP success rate.

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