bluuebunny/crossref_metadata_2025_split huggingface dataset:
Photocatalytic degradation of hydroxychloroquine using ZnO supported on clinoptilolite zeolite
Authors: da Silva Patricia Lacchi , Nippes Ramiro Picoli , Macruz Paula Derksen , Hegeto Fábio Luís , Scaliante Mara Heloísa Neves Olsen 
Published: July 2021

Abstract
The objective of this work was to evaluate the photocatalytic activity of zinc oxide catalysts supported on natural zeolite clinoptilolite for photocatalytic degradation of the drug hydroxychloroquine, used in the treatment of malaria and which has been tested in the treatment of COVID-19. To synthesize 10%ZnOCP and 15%ZnOCP catalysts, the wet impregnation methodology was used. The raw and synthesized catalysts were characterized by XRD, SEM, XRF, BET, DRS, PCZ, FT-IR and PL. The degradation of hydroxychloroquine was calculated using UV-vis absorption from the samples before and after the photocatalytic process. The maximum percentage of degradation (96%) was obtained with the operational parameters of C0 = 10 mg L−1; Ccat = 2 g L−1 of 15%ZnOCP; pH = 7.5; UV-A radiation. Ecotoxicological tests against the bioindicators Lactuca sativa and Artemia salina confirmed the reduction of effluent toxicity after treatment.
GAG Multivalent Systems to Interact with Langerin
Authors: Rojo Javier , Nieto Pedro M. , de Paz José L. 
Published: July 2021

:
Langerin is a C-type Lectin expressed at the surface of Langerhans cells, which play a pivotal
role protecting organisms against pathogen infections. To address this aim, Langerin presents at least
two recognition sites, one Ca2+-dependent and another one independent, which are capable to recognize
a variety of carbohydrate ligands. In contrast to other lectins, Langerin recognizes sulfated glycosaminoglycans
(GAGs), a family of complex and heterogeneous polysaccharides present in the cell membrane
and the extracellular matrix, at the interphase generated in the trimeric form of Langerin but absent
in the monomeric form. The complexity of these oligosaccharides has impeded the development of
well-defined monodisperse structures to study these interaction processes. However, in the last few
decades, an improvement of synthetic developments to achieve the preparation of carbohydrate multivalent
systems mimicking the GAGs has been described. Despite all these contributions, very few examples
are reported where the GAG multivalent structures are used to evaluate the interaction with
Langerin. These molecules should pave the way to explore these GAG-Langerin interactions.
The Role of SIRT1 in Neuropathic Pain from the Viewpoint of Neuroimmunity
Authors: Fan Youjia , Dong Rong , Zhang Honghai , Yu Buwei , Lu Han 
Published: July 2021

:
The current clinical first-line treatment of neuropathic pain still considers only the nervous system as
the target, and its therapeutic effect is limited. An increasing number of studies support the opinion that neuropathic
pain is a result of the combined action of the sensory nervous system and the related immune system.
Under physiological conditions, both the nervous system and the immune system can maintain homeostasis by
adjusting the mitochondrial function when sensing noxious stimulation. However, in the case of neuropathic
pain, mitochondrial regulatory dysfunction occurs, which may result from the decreased expression of SIRT1.
In this study, we review the role of SIRT1 in neuropathic pain from the viewpoint of neuroimmunity.
Progress and Prospects of Developing Climate Resilient Wheat in South Asia Using Modern Pre-Breeding Methods
Authors: Sukumaran Sivakumar , Krishna Hari , Singh Kuldeep , Mottaleb Khondoker Abdul , Reynolds Matthew 
Published: July 2021

:
Developing climate-resilient wheat is a priority for South Asia since the effect of climate
change will be pronounced on the major crops that are staple to the region. South Asia must
produce >400 million metric tons (MMT) of wheat by 2050 to meet the demand. However, the current
average yield <3 t/ha is not sufficient to meet the requirement. In this review, we are addressing
how pre-breeding methods in wheat can address the gap in grain yield as well as reduce the
bottleneck of genetic diversity. Physiological pre-breeding which incorporates screening of diverse
germplasm from gene banks for physiological and agronomic traits, the strategic crossing of complementary
traits, high throughput phenotyping, molecular markers-based generation advancement,
genomic prediction, and validation of high-value heat and drought tolerant lines to South Asia can
help to alleviate the drastic effect of climate change on wheat production. There are several gene
banks, if utilized well, can play a major role in breeding for climate-resilient wheat. CIMMYT’s
wheat physiological pre-breeding has delivered several hundred lines via the Stress Adapted Trait
Yield Nursery (SATYN) to the NARS in many South Asian countries; India, Pakistan, Nepal,
Bangladesh, Afghanistan, and Iran. Some of these improved germplasms have resulted in varieties
for farmer's field. We conclude the review by pointing out the importance of collaborative interdisciplinary
translational research to alleviate the effects of climate change on wheat production in
South Asia.
New Pharmacological Targets for the Treatment of Schizophrenia: A Literature Review
Authors: Ventriglio Antonio , Bellomo Antonello , Ricci Fabiana , Magnifico Giuseppe , Rinaldi Angelo , Borraccino Luisa , Piccininni Carla , Cuoco Federica , Gianfelice Giulia , Fornaro Michele , Delle Monache Sonia , De Berardis Domenico 
Published: July 2021

Background:
The pharmacological treatment of schizophrenia is currently based on the
employment of antipsychotic medications showing an antagonism of dopaminergic and serotoninergic
inhibitors. 20-40% of patients are drug-resistant or residually symptomatic in the long-term antipsychotic
treatment, and new strategies are needed for improving their functional and cognitive
impairment.

Methods:
This systematic review has summarized evidences from the literature regarding the newer
pharmacological targets proposed for the treatment of psychosis. We included 128 peer-reviewed
articles and 5 other relevant sources published from 2002 to 2020 on PubMed EMBASE,
The Cochrane Library, and Google Scholar.

Results:
The possible role of glutamate and its receptors as targets of the antipsychotic mechanism
of action has been described. Glutamatergic neurotransmission and NMDA receptors hypofunction
are involved in the neurobiological explanatory model of psychosis and possibly targeted for the
successful treatment of cognitive and residual symptoms. Results show an efficacy of D-cycloserine
(antagonist at the Glycine site of the NMDA-R) in the treatment of negative symptoms of
schizophrenia as well as Memantine (NMDA- Receptor antagonist) for cognition and psychopathology.
The putative antipsychotic effect of cannabidiol on positive symptoms and cognition will also
be discussed. The action on serotoninergic and GABAergic receptors will be considered as a new
pharmacological target, with a possible efficacy of Vabicaserin on symptoms of psychosis. Mynocicline
has shown to induce improvements in cognitive symptoms in schizophrenia, as well as Erythropoietin.
Oxytocin has been reported to have an antipsychotic-like effect; moreover, COX-2 inhibitors
lead to a reduction in positive symptoms of psychosis, specifically in the first episode of illness.

Conclusion:
This narrative report suggests a promising role of new agents in the treatment of Schizophrenia;
however, more research is needed to approve their clinical employment.
Development and Evaluation of a Decision Aid to Support Patients’ Participatory Decision-Making for Tumor-Specific and Palliative Therapy for Advanced Cancer: Protocol for a Pre-Post Study
Authors: Laryionava Katsiaryna , Schildmann Jan , Wensing Michael , Wedding Ullrich , Surmann Bastian , Woydack Lena , Krug Katja , Winkler Eva 
Published: July 2021

BackgroundTo support advanced cancer patients and their oncologists in therapeutic decisions, we aim to develop a decision aid (DA) in a multiphased, bicentric study. The DA aims to help patients to better understand risks and benefits of the available treatment options including the options of standard palliative care or cancer-specific treatment (ie, off-label drug use within an individual treatment plan).ObjectiveThis study protocol outlines the development and testing of the DA in a pre-post study targeting a heterogeneous population of advanced cancer patients.MethodsIn the first step, we will assess patients’ information and decisional needs as well as the views of the health care providers regarding the content and implementation of the DA. Through a scoping review, we aim to analyze specific characteristics of the decision-making process and to specify the treatment options, outcomes, and probabilities. An interdisciplinary research group of experts will develop and review the DA. In the second step, testing of the DA (design and field testing) with patients and oncologists will be conducted. As a last step, we will run a pre-post design study with 70 doctor-patient encounters to assess improvements on the primary study outcome: patients’ level of decisional conflict. In addition, the user acceptance of all involved parties will be tested.ResultsInterviews with cancer patients, oncologists, and health care providers (ie, nurses, nutritionists) as well as a literature review from phase I have been completed. The field testing is scheduled for April 2021 to August 2021, with the final revision scheduled for September 2021. The pre-post study of the DA and acceptance testing are scheduled to start in October 2021 and shall be finished in September 2022.ConclusionsA unique feature of this study is the development of a DA for patients with different types of advanced cancer, which covers a wide range of topics relevant for patients near the end of life such as forgoing cancer-specific therapy and switching to best supportive care.Trial RegistrationClinicalTrials.gov NCT04606238; https://clinicaltrials.gov/ct2/show/NCT04606238.International Registered Report Identifier (IRRID)DERR1-10.2196/24954
Examination of a Canada-Wide Collaboration Platform for Order Sets: Retrospective Analysis
Authors: Javidan Arshia Pedram , Brand Allan , Cameron Andrew , D'Ovidio Tommaso , Persaud Martin , Lewis Kirsten , O'Connor Chris 
Published: July 2021

Background
Knowledge translation and dissemination are some of the main challenges that affect evidence-based medicine. Web 2.0 platforms promote the sharing and collaborative development of content. Executable knowledge tools, such as order sets, are a knowledge translation tool whose localization is critical to its effectiveness but a challenge for organizations to develop independently.

Objective
This paper describes a Web 2.0 resource, referred to as the collaborative network (TCN), for order set development designed to share executable knowledge (order sets). This paper also analyzes the scope of its use, describes its use through network analysis, and examines the provision and use of order sets in the platform by organizational size.

Methods
Data were collected from Think Research’s TxConnect platform. We measured interorganization sharing across Canadian hospitals using descriptive statistics. A weighted chi-square analysis was used to evaluate institutional size to share volumes based on institution size, with post hoc Cramer V score to measure the strength of association.

Results
TCN consisted of 12,495 order sets across 683 diagnoses or processes. Between January 2010 and March 2015, a total of 131 health care organizations representing 360 hospitals in Canada downloaded order sets 105,496 times. Order sets related to acute coronary syndrome, analgesia, and venous thromboembolism were most commonly shared. COVID-19 order sets were among the most actively shared, adjusting for order set lifetime. A weighted chi-square analysis showed nonrandom downloading behavior (P<.001), with medium-sized institutions downloading content from larger institutions acting as the most significant driver of this variance (chi-gram=124.70).

Conclusions
In this paper, we have described and analyzed a Web 2.0 platform for the sharing of order set content with significant network activity. The robust use of TCN to access customized order sets reflects its value as a resource for health care organizations when they develop or update their own order sets.
Hospital Productivity After Data Breaches: Difference-in-Differences Analysis
Authors: Lee Jinhyung , Choi Sung J 
Published: July 2021

Background
Data breaches are an inevitable risk to hospitals operating with information technology. The financial costs associated with data breaches are also growing. The costs associated with a data breach may divert resources away from patient care, thus negatively affecting hospital productivity.

Objective
After a data breach, the resulting regulatory enforcement and remediation are a shock to a hospital’s patient care delivery. Exploiting this shock, this study aimed to investigate the association between hospital data breaches and productivity by using a generalized difference-in-differences model with multiple prebreach and postbreach periods.

Methods
The study analyzed the hospital financial data of the California Office of Statewide Health Planning and Development from 2012 to 2016. The study sample was an unbalanced panel of hospitals with 2610 unique hospital-year observations, including general acute care hospitals. California hospital data were merged with breach data published by the US Department of Health and Human Services. The dependent variable was hospital productivity measured as value added. The difference-in-differences model was estimated using fixed effects regression.

Results
Hospital productivity did not significantly differ from the baseline for 3 years after a breach. Data breaches were not significantly associated with a reduction in hospital productivity. Before a breach, the productivity of hospitals that experienced a data breach maintained a parallel trend with control hospitals.

Conclusions
Hospital productivity was resilient against the shocks from a data breach. Nonetheless, data breaches continue to threaten hospitals; therefore, health care workers should be trained in cybersecurity to mitigate disruptions.
Exploring the Associations Between Self-reported Tendencies Toward Smartphone Use Disorder and Objective Recordings of Smartphone, Instant Messaging, and Social Networking App Usage: Correlational Study
Authors: Marengo Davide , Sariyska Rayna , Schmitt Helena Sophia , Messner Eva-Maria , Baumeister Harald , Brand Matthias , Kannen Christopher , Montag Christian 
Published: July 2021

Background
Social communication via instant messaging (IM) and social networking (SN) apps makes up a large part of the time that smartphone users spend on their devices. Previous research has indicated that the excessive use of these apps is positively associated with problematic smartphone use behaviors. In particular, image-based SN apps, such as Instagram (Facebook Inc) and Snapchat (Snap Inc), have been shown to exert stronger detrimental effects than those exerted by traditional apps, such as Facebook (Facebook Inc) and Twitter (Twitter Inc).

Objective
In this study, we investigated the correlation between individuals’ tendencies toward smartphone use disorder (SmUD) and objective measures of the frequency of smartphone usage. Additionally, we put to test the hypothesis that the pathway linking the frequency of actual smartphone usage to self-reported tendencies toward SmUD was mediated by the increased frequency of IM and SN app usage.

Methods
We recruited a sample of 124 adult smartphone users (females: 78/124, 62.9%; age: mean 23.84 years, SD 8.29 years) and collected objective information about the frequency of smartphone and SN app usage over 1 week. Participants also filled in a self-report measure for assessing the multiple components of tendencies toward SmUD. Bivariate associations were investigated by using Spearman correlation analyses. A parallel mediation analysis was conducted via multiple regression analysis.

Results
The frequency of smartphone usage, as well as the use of IM apps (Messenger, Telegram, and WhatsApp [Facebook Inc]), Facebook, and image-based apps (Instagram and Snapchat), had significant positive associations with at least 1 component of SmUD, and the cyberspace-oriented relationships factor exhibited the strongest associations overall. We found support for an indirect effect that linked actual smartphone usage to SmUD tendencies via the frequency of the use of image-based SN apps.

Conclusions
Our novel results shed light on the factors that promote SmUD tendencies and essentially indicate that image-based SN apps seem to be more strongly associated with problematic smartphone behaviors compared to IM apps and traditional SN apps, such as Facebook.
Real-Time Respiratory Tumor Motion Prediction Based on a Temporal Convolutional Neural Network: Prediction Model Development Study
Authors: Chang Panchun , Dang Jun , Dai Jianrong , Sun Wenzheng 
Published: July 2021

Background
The dynamic tracking of tumors with radiation beams in radiation therapy requires the prediction of real-time target locations prior to beam delivery, as treatment involving radiation beams and gating tracking results in time latency.

Objective
In this study, a deep learning model that was based on a temporal convolutional neural network was developed to predict internal target locations by using multiple external markers.

Methods
Respiratory signals from 69 treatment fractions of 21 patients with cancer who were treated with the CyberKnife Synchrony device (Accuray Incorporated) were used to train and test the model. The reported model’s performance was evaluated by comparing the model to a long short-term memory model in terms of the root mean square errors (RMSEs) of real and predicted respiratory signals. The effect of the number of external markers was also investigated.

Results
The average RMSEs of predicted (ahead time=400 ms) respiratory motion in the superior-inferior, anterior-posterior, and left-right directions and in 3D space were 0.49 mm, 0.28 mm, 0.25 mm, and 0.67 mm, respectively.

Conclusions
The experiment results demonstrated that the temporal convolutional neural network–based respiratory prediction model could predict respiratory signals with submillimeter accuracy.
The Associations Between Mental Health Problems and Attitudes Toward Web-Based Health and Social Care Services: Evidence From a Finnish Population-Based Study
Authors: Rantanen Teemu , Gluschkoff Kia , Silvennoinen Piia , Heponiemi Tarja 
Published: July 2021

Background
The significance of web-based health and social care services has been highlighted in recent years. There is a risk that the digitalization of public services will reinforce the digital and social exclusion of vulnerable groups, such as individuals with mental health problems.

Objective
This study aims to examine the associations between mental health problems and attitudes toward web-based health and social care services in the general population. The attitudes measured include lack of interest, perceived need for face-to-face encounters, and concern for safety. The study also evaluates whether sociodemographic characteristics (age, gender, education level, and poverty) modify these associations.

Methods
Cross-sectional population-based data were collected from 4495 Finnish adults in 2017. Linear regression was used to examine the main effects and interactions of poor mental health and sociodemographic characteristics on attitudes toward web-based health and social care services.

Results
The results show that mental health was associated with attitudes toward web-based health and social care services. Individuals with mental health problems were especially concerned about the safety of web-based services. Poor mental health was independently associated with negative attitudes toward web-based services over the effects of sociodemographic factors. Some of the associations between poor mental health and negative attitudes toward web-based services were stronger among older people and men. With regard to sociodemographic characteristics, particularly higher age, low education, and poverty were associated with negative attitudes toward web-based health and social care services.

Conclusions
Poor mental health is associated with negative attitudes toward web-based health and social care services and thus indirectly with exclusion. It seems that being older and being male both reinforce the link between poor mental health and exclusion. In supporting the digital inclusion of people with mental health problems, attention should be paid to guidance and counseling, reliability, and the user-friendliness of web-based services as well as to the prevention of poverty. In addition, it is essential to see web-based services as complementary to, and not a substitute for, face-to-face services.
The Influence of Gamification and Information Technology Identity on Postadoption Behaviors of Health and Fitness App Users: Empirical Study in the United States
Authors: Esmaeilzadeh Pouyan 
Published: July 2021

Background
The use of health and fitness apps has been on the rise to monitor personal fitness and health parameters. However, recent research discovered that many users discontinue using these apps after only a few months. Gamification has been suggested as a technique to increase users’ interactions with apps. Nevertheless, it is still not clear how gamification mechanisms encourage continued use and inspire user self-management.

Objective
The main objective of this study was to articulate how gamification mechanisms in studies of designing and using health and fitness apps can contribute to the realization of information technology (IT) identity and positive behavioral outcomes. The broader goal was to shed light on how gamification mechanisms will translate into positive use behaviors in the context of mobile health apps.

Methods
Data were collected from 364 users of health and fitness apps through an online survey to empirically examine the proposed model.

Results
Based on identity theories, this study suggests the fully mediating role of IT identity to describe how gamification elements can lead to continued intention to use health and fitness apps, and increase users’ tendency for information sharing through the apps. The findings indicate that perceived gamification can increase users’ IT identity. In turn, a higher IT identity would encourage users to continue using the apps and share more personal health information with others through the apps.

Conclusions
The results of this study can have practical implications for app designers to use gamification elements to increase users’ dependency, relatedness, and emotional energy associated with health apps. Moreover, the findings can have theoretical contributions for researchers to help better articulate the process in which gamification can be translated into positive use behaviors.