bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy Screening of Prospective Anti-allergic Drug Candidates: An
In silico Study
Authors: Bandopadhyay Rajib , Laha Anubhab , Sarkar Aniket , Chakraborty Priyanka , Panja Anindya Sundar 
Published: October 2022

Background:
Due to the rapid rise of allergies, anti-allergy medications are commonly being
utilised to reduce inflammation; however, allergen-specific inhibitors may also be utilised.

Objective:
Our in silico study is aimed at finding out a promising anti-allergic compound that can act
against a wide range of allergens.

Methods:
The inhibitory efficacies of potential anti-allergic compounds were investigated by ADMET
studies and were followed by high throughput molecular docking. Binding energy was calculated
by AUTODOCK, which led to the identification of binding sites between the allergens and antiallergic
compounds. Each of the five anti-allergic compounds interacted with allergens at various
levels. The docked poses showing significant binding energy were subjected to molecular docking
simulation.

Results:
Marrubiin exhibits higher binding affinities to the catalytic pocket against allergens from
chicken, European white birch plant, bacteria, fungus, and numerous food allergens.

Conclusions:
We propose Marrubiin, which appears to be a promising anti-allergic candidate and antiinflammatory
agent against a wide spectrum of allergens. The future directions of this research are to
analyze the effects of anti-allergic mechanisms in vivo.
Mechanistic Features and Therapeutic Implications Related to the MiRNAs
and Wnt Signaling Regulatory in Breast Cancer
Authors: Talebi Marjan , Farkhondeh Tahereh , Harifi-Mood Mohammad Sadra , Talebi Mohsen , Samarghandian Saeed 
Published: October 2022

Abstract:
Breast cancer (BC) is accountable for a large number of female-related malignancies
that lead to lethality worldwide. Various factors are considered in the occurrence of BC, including
the deregulation of cancer stem cells (CSCs) and epithelial-mesenchymal transition (EMT).
Genetic factors such as microRNAs (miRs) are crucially responsible for BC progression and aggressiveness.
Hence, the association of miRs and EMT regulators (e.g., Wnt signaling pathway) is
of importance. In the present review, we accurately discussed this interplay (interaction between
Wnt and miRs) concerning cell - invasion, -migration, -differentiation, -chemoresistance, survival,
and-proliferation, and BC prognosis. The putative therapeutic agents, multidrug resistance (MDR)
evade, and possible molecular targets are described as well.
Development, Characterization and In vivo Pharmacokinetic Studies of
Olmesartan Medoxomil Nanosuspension for the Effective Treatment of
Hypertension
Authors: Bhargav E  , Singh Udit Narayan , Haranath C  , Sekhar C Chitra , Charitha B  , Jyothi MV 
Published: October 2022

Introduction:
The present work aims to increase the saturation solubility and the bioavailability of Olmesartan medoxomil (OM) via an acid-base neutralization-based nanosuspension technique.

Method:
The initial screening studies revealed that changes in the concentration of HPMC E15 (100-200
mg), mechanical stirring speed (SS) (900-1200 rpm) and stirring time (ST) (60-120 min) affected the
responses. Effects produced by the factors (HPMC E15, SS, and ST) on responses (particle size, PDI, and
cumulative % drug release (%CDR)) were investigated using a 2!!!
!!!fractional factorial design with replicates and four midpoints. For the development of Olmesartan medoxomil nanosuspension, an acid-base
neutralization technique was employed.

Result:
Pareto chart, perturbation plots and ANOVA were used to identify significant factors. The p-value
<0.05 indicated the factors to be considered significant. The Particle size and PDI of all formulations
ranged from 286.7 nm - 718.1 nm and 0.146 – 0.415, respectively. Drug release from all formulations
ranged from74.0-103.7%. Pure drug solubility and optimized formula solubility were reported to be 108.6
g/ml and 1650.72 g/ml, respectively. Contour and 3D surface plots led to the identification of design
space in which HPMC E15, SS and ST can be oriented at 148.8-151 mg, 959-1000 rpm and 106-120 min,
respectively, to get particle size <500 nm, PDI <0.5 and % CDR >95%.SEM results indicated that the
particles were nearly spherical.

Conclusion:
In vivo pharmacokinetic studies conducted in Wistar rats exhibited ∼4.7 folds enhancement
in optimized OM nanosuspension oral bioavailability compared to pure drug. It can be concluded that the
selected method and application of the design of the experimentation technique enhanced the saturation
solubility and bioavailability of OM.
“Stunning and creepy…I gotta learn this”: Exploring Concepts of Information Ethics in Deepfake Creation Tutorials on YouTube
Authors: Vera Alexander 
Published: October 2022

Deepfakes combine artificial intelligence with machine deep learning to produce manipulated images and are made to appear hyperrealistic to viewers (Westerlund, 2019), complicating, if not, preventing viewers from separating fact from fiction and eroding trust in video footage or images from reputable mainstream news sources. Previous literature has articulated the dangers of deepfakes and their dissemination. This ongoing project explores the creation of deepfakes by seeking to understand who makes deepfakes through analyzing deepfake tutorials on YouTube. A thematic analysis of the content and production features of YouTube deepfake creation videos provides a critical perspective of how and why individuals instruct others to do so. Findings of 73 YouTube videos indicate higher proportions non-western participation in deepfake creation. While still ongoing, these early findings impact how LIS professionals frame deepfakes around mis/disinformation and suggest that in order to overcome deepfakes we must understand them in relation to larger socio-technical discourses.
Health, Libraries, Research and Education
Authors: Sullivan Zimmerman Margaret , Lenstra Noah , Ma Jinxuan , Rubenstein Ellen , Vardell Emily 
Published: October 2022

Researchers in LIS have been working on projects related to health and wellness in various environments, whether related to medical libraries, public libraries, health information behavior, or health information-related community interventions. At the same time, researchers have explored new methods to educate students on both research and on health and wellness as it relates to LIS. It is our goal to bring together the two and create a collaborative panel in which both the panelists and audience participate in a dialog that highlights our research and our engagement with our students over the past couple of years examining health information and practices in our libraries, communities, and classrooms.
This non-traditional panel focuses on health and wellness research and its impact on student education and engagement in research activities. The session aims to provide an opportunity for both the organizers and the audience to share their research and/or research agendas and engage in conversations and feedback that can contribute to a cohesive understanding as to what researchers are doing in the area of health and wellness. Our objective is also to discuss current pedagogical practices or student engagement opportunities related to these topical areas. Some examples will be physical and mental health programs and services in public libraries, health literacy courses taught by LIS students in public libraries, health insurance education, using the OCLC Call to Action Opioid toolkit with public libraries, public library staff as health information facilitators, and much more.
The session will begin with the Health SIG members presenting their research through five-minute lightning talks. While the panelists describe their research, they will begin creating a visualization on Google Jamboard that represents the research being discussed. After these first presentations, the audience will be invited to share their own research, which will also be added to the collaborative board. Throughout this process, participants will be invited to offer constructive feedback on each contributor’s ideas. Through this process, we hope to create an exciting, interactive session in which the SIG members and the audience will have the opportunity to share research and teaching strategies and potentially find new collaborators.
Connecting Talent Management to LIS Course Design
Authors: Crumpton Michael , Bird Nora 
Published: October 2022

Today's libraries are faced with many of the employment and labor issues prevalent in the country today related to economic changes within the workforce, personal preferences, and workplace freedoms in the "what about me" economy. Employment needs of libraries are also undergoing tremendous change and the need for specific skills, or the management of the talent being hired becomes critical.
Each individual curriculum element in LIS course offerings can be critical to the future employment of LIS graduates. Program offerings should reflect expected success in applying an earned degree to the job market and individual courses can produce the learning and experience needed by new graduates seeking positions in a wide variety of situations and circumstances.
This poster will offer a schematic or infographic of employment talent needs and skills desired in libraries and connect these needs to course content. Skill requirements were derived from a qualitative study of ALA Joblist Data from 2006 through 2018 (used by permission of the ALA). We will encourage interactivity with viewers by encouraging them to help us make the connections between curricular development and the identified skills.
The learning outcome is to expand the awareness of course design to talent needs for successful employment of graduating students in a changing and dynamic employment market.
Open Education Resources: Storing and Accessing Computable Biomedical Knowledge in Libraries
Authors: Swain Deborah , Brown Nijee , Cunningham Christopher 
Published: October 2022

Can library science move forward as gatekeepers, creators, and consumers of computable biomedical knowledge or CBK (Williams, et al., 2020)? Yes. This research goes back to library skills to help information scientists and knowledge managers “get it.” Reviewing a pilot class for LIS professionals, we are developing online, sustainable open educational resource (OER) materials for global users. A community of practice will efficiently deliver biomedical applications for researchers, LIS professionals, healthcare providers, and patients. Our brave goal grew from an Institute of Museum and Library Services (IMLS) grant to put library and information professionals in the fore-front designing and maintaining effective medical repositories while collaborating with authors. Access to data is essential to establishing effective Learning Health Systems (LHSs). The vision is to improve healthcare where underutilization of appropriate and overutilization of inappropriate care lead to rising costs, less safety, and health disparities (Friedman, et al., 2017). The “mobilizing CBK” movement from Michigan’s Medical School LHS department is providing infrastructure, metadata, and networks to writing developers worldwide so access to research knowledge supports health-related decisions.

Pre- and post-assessments of pilot training by medical providers, health library directors, and LIS educators provided quantitative and qualitative data to design the OER. Fearlessly applying “open pedagogy,” we will support copyright laws but create and share practices that sidestep proprietary entanglements as librarians in Arizona researched (Casey & Daly, 2021). We are developing an “open textbook” with learning modules like publish in open access, avoid bias, review systematically, redefine librarian’s role, and NLM tools.
Recovering and Reusing Scientific Data
Authors: Sorensen Amanda H. , Fenlon Katrina , Escobar-Vredevoogd Camila , Wagner Travis L. 
Published: October 2022

Legacy scientific data relevant to current and future scientific research exist scattered across memory institutions. This data remains unexplored and often faces the potential to be destroyed. This poster focuses on data rescue initiatives within the sciences, exploring how these efforts suggest the need for greater focus on scientific thinking and collaboration between the sciences and LIS.
This research explores the efforts of digital curators and scientists to recover library and archival records housed on obsolete formats (both physical and digital) and data within unpublished documents. The ongoing "Recovering and Reusing Archival Data for Science" project (RRAD-S) draws on semi-structured interviews with scientists from atmospheric sciences to ornithology and data curators, including metadata librarians and archivists. These interviews document the catalysts, priorities, and challenges of participants' data reuse/recovery efforts. This poster reports on initial findings regarding how scientific data rescue entails a degree of digital curation expertise and planning on the part of scientific research teams, meaning that scientists thinking proactively about data preservation or reuse might collaborate with information professionals to develop data conservation plans.
Historically, LIS education dedicates limited attention to understanding scientific thinking, which usually emphasizes generating new data over reuse. This poster asserts that LIS education can support long-term scientific scholarship by consciously educating students to participate in scientific data preservation initiatives. Additionally, educators can utilize scientific data practices to inform LIS pedagogy by prioritizing and centering proactive data creation within scientific endeavors.
Examining the influence of amicus briefs and patents on information policymaking
Authors: McGowan Catherine 
Published: October 2022

This study traces a network of strategic power relations between a Google amicus curiae brief and patent to reveal how elite organizations influence information policymaking. The lens of actor-network theory is applied to the selected cases to trace the complex sociotechnical network of heterogeneous relations (Latour, 1993). A microanalysis reveals how information policymaking is influenced by persuasive information presented in amicus briefs and the technical disclosures described in patent claims of black box technologies (Collins, 2018; Frohmann, 1995). This study is part of a larger, mixed methods research project that analyzes over 4,000 geospatial technology patents to reveal the growing trend of inferred geospatial data production where artificial intelligence is leveraged, to demonstrate that constitutional protections for digital privacy rights must incorporate a privacy model that recognizes anonymous data production and not merely user agency to grant consent.
Presently, information policy and data privacy laws are interpreted through a lens of inescapability (Tokson, 2020). This lens situates digital privacy rights within a fallible dichotomic premise that assumes clear, perpetual agency to grant or deny consent to access data. Moreover, the implications of Fourth Amendment rights are exemplified in geofence warrants—an investigative technique that searches location history to identify suspects in a geofenced region and time series in the absence of evidence. Geofence warrants have been utilized to conduct sweeping searches that collect user data of innocent people such as protesters, cyclists, and other passersby. This study offers the potential to improve policymaking to protect the rights of datafied citizens.
Examining Chinese Users’ Feedback Comments on HIV Self-testing Kits From e-Commerce Platforms: Thematic and Content Analysis
Authors: Liu Miao , Zhu Yi , Gao Haiqing , Li Jialing 
Published: October 2022

Background
HIV self-testing is preferred by many Chinese people for its convenience and confidentiality. However, most studies on HIV self-testing (HIVST) uptake in China overfocused on men who have sex with men and overrelied on obtrusive methods such as surveys and interviews to collect data.

Objective
We aimed to explore Chinese HIVST kit users’ authentic experience via their feedback comments posted on e-commerce platforms using an unobtrusive approach.

Methods
In total, 21,018 feedback comments about buying and using HIVST kits posted on Chinese e-commerce platforms (Tmall and Pinduoduo) were collected. An inductive thematic analysis based on a random sample of 367 comments yielded several thematic features. These thematic features were developed into coding categories for a quantitative content analysis of another random sample of 1857 comments.

Results
Four themes were identified in the first study, including the expression of positive and negative emotions after and before getting the test, respectively, calling for living a clean and moral life in the future, comments on the sellers and HIVST kits, and the reasons for buying HIVST kits. The results from the second study suggested that there were significant associations between different platforms and several thematic features. Nearly 50% of the comments were related to the product itself and the disclosures of HIV-negative test results. More than 25% of the comments showed users’ feelings of gratefulness after receiving negative test results such as “thank heavens for sparing my life.”

Conclusions
The results suggested that Chinese users relied on HIVST kits to reduce and prevent HIV infection, while they also considered HIV infection a punishment related to moral violation such as being sexually promiscuous. The traditional Chinese health belief that health is influenced by one’s morality still persists among some Chinese users. Many users also lacked appropriate knowledge about HIV transmission and self-testing kits.
Investigating Patients' Continuance Intention Toward Conversational Agents in Outpatient Departments: Cross-sectional Field Survey
Authors: Li Xingyi , Xie Shirong , Ye Zhengqiang , Ma Shishi , Yu Guangjun 
Published: October 2022

Background
Conversational agents (CAs) have been developed in outpatient departments to improve physician-patient communication efficiency. As end users, patients’ continuance intention is essential for the sustainable development of CAs.

Objective
The aim of this study was to facilitate the successful usage of CAs by identifying key factors influencing patients’ continuance intention and proposing corresponding managerial implications.

Methods
This study proposed an extended expectation-confirmation model and empirically tested the model via a cross-sectional field survey. The questionnaire included demographic characteristics, multiple-item scales, and an optional open-ended question on patients’ specific expectations for CAs. Partial least squares structural equation modeling was applied to assess the model and hypotheses. The qualitative data were analyzed via thematic analysis.

Results
A total of 172 completed questionaries were received, with a 100% (172/172) response rate. The proposed model explained 75.5% of the variance in continuance intention. Both satisfaction (β=.68; P<.001) and perceived usefulness (β=.221; P=.004) were significant predictors of continuance intention. Patients' extent of confirmation significantly and positively affected both perceived usefulness (β=.817; P<.001) and satisfaction (β=.61; P<.001). Contrary to expectations, perceived ease of use had no significant impact on perceived usefulness (β=.048; P=.37), satisfaction (β=−.004; P=.63), and continuance intention (β=.026; P=.91). The following three themes were extracted from the 74 answers to the open-ended question: personalized interaction, effective utilization, and clear illustrations.

Conclusions
This study identified key factors influencing patients’ continuance intention toward CAs. Satisfaction and perceived usefulness were significant predictors of continuance intention (P<.001 and P<.004, respectively) and were significantly affected by patients’ extent of confirmation (P<.001 and P<.001, respectively). Developing a better understanding of patients’ continuance intention can help administrators figure out how to facilitate the effective implementation of CAs. Efforts should be made toward improving the aspects that patients reasonably expect CAs to have, which include personalized interactions, effective utilization, and clear illustrations.
Optimizing Outcomes in Psychotherapy for Anxiety Disorders Using Smartphone-Based and Passive Sensing Features: Protocol for a Randomized Controlled Trial
Authors: Müller-Bardorff Miriam , Schulz Ava , Paersch Christina , Recher Dominique , Schlup Barbara , Seifritz Erich , Kolassa Iris Tatjana , Kowatsch Tobias , Fisher Aaron , Galatzer-Levy Isaac , Kleim Birgit 
Published: October 2022

Background
Psychotherapies, such as cognitive behavioral therapy (CBT), currently have the strongest evidence of durable symptom changes for most psychological disorders, such as anxiety disorders. Nevertheless, only about half of individuals treated with CBT benefit from it. Predictive algorithms, including digital assessments and passive sensing features, could better identify patients who would benefit from CBT, and thus, improve treatment choices.

Objective
This study aims to establish predictive features that forecast responses to transdiagnostic CBT in anxiety disorders and to investigate key mechanisms underlying treatment responses.

Methods
This study is a 2-armed randomized controlled clinical trial. We include patients with anxiety disorders who are randomized to either a transdiagnostic CBT group or a waitlist (referred to as WAIT). We index key features to predict responses prior to starting treatment using subjective self-report questionnaires, experimental tasks, biological samples, ecological momentary assessments, activity tracking, and smartphone-based passive sensing to derive a multimodal feature set for predictive modeling. Additional assessments take place weekly at mid- and posttreatment and at 6- and 12-month follow-ups to index anxiety and depression symptom severity. We aim to include 150 patients, randomized to CBT versus WAIT at a 3:1 ratio. The data set will be subject to full feature and important features selected by minimal redundancy and maximal relevance feature selection and then fed into machine leaning models, including eXtreme gradient boosting, pattern recognition network, and k-nearest neighbors to forecast treatment response. The performance of the developed models will be evaluated. In addition to predictive modeling, we will test specific mechanistic hypotheses (eg, association between self-efficacy, daily symptoms obtained using ecological momentary assessments, and treatment response) to elucidate mechanisms underlying treatment response.

Results
The trial is now completed. It was approved by the Cantonal Ethics Committee, Zurich. The results will be disseminated through publications in scientific peer-reviewed journals and conference presentations.

Conclusions
The aim of this trial is to improve current CBT treatment by precise forecasting of treatment response and by understanding and potentially augmenting underpinning mechanisms and personalizing treatment.

Trial Registration
ClinicalTrials.gov NCT03945617; https://clinicaltrials.gov/ct2/show/results/NCT03945617

International Registered Report Identifier (IRRID)
DERR1-10.2196/42547