bluuebunny/crossref_metadata_2025_split huggingface dataset:
On Improving Physicians’ Trust in AI: Qualitative Inquiry with Imaging Experts in the Oncological Domain
Authors: Verma Himanshu , Schaer Roger , Reichenbach Julien , Mario Jreige , Prior John O. , Evéquoz Florian , Depeursinge Adrien Raphaël 
Published: May 2021

Abstract
BackgroundAlthough the role of image-based AI in cancer research has been substantial, its impact on the clinical side has been limited so far. Physicians’ trust in AI, and its wider acceptability, has been significantly lower owing to its “black-box” nature, which raises liability questions concerning its use in the clinical context. MethodsTo comprehend the barriers in AI’s adoption, and to inform the future discourses in the human-centric and ethical design of AI, we designed and conducted semi-structured interviews with 7 imaging experts in the oncological domain. ResultsData saturation was achieved despite the small sample size, gathering concordant emerging needs and recommendations. Our findings demonstrate the divergent nature and focus of clinical and research practices, with differing AI needs. AI is afforded a peripheral, and yet a crucial role of a “decision help”, which can enable oncologists and related imaging specialists (i.e. radiologists, radiation-oncologists and nuclear medicine physicians) to push the boundaries of biological reasoning in treating cancers. Furthermore, our interviewees emphasized the need to embody ethics and liability in designing AI systems, and the development of educational opportunities for AI and cancer experts to enable an integrative vision of image-based AI. To this end, specific design guidelines are provided to inform both the Human-Centered Design and AI researchers in order to meaningfully address the contextually-sensitive concerns and challenges around the adoption of intelligent interactive technologies in cancer care. ConclusionsThe existing impact of AI in the clinical practices is limited as compared to the clinical research. In the future, AI is afforded a peripheral role of a ‘decision helper’ which might enable doctors to better understand the peculiarities and subtleties of cancers, and support them in developing novel treatment methods. Finally, in order to develop physicians’ trust in AI and its wider acceptability in clinical oncology, designers would have to address the ethical and liability concerns in relation to the use of AI systems.
Swimming improves memory and antioxidant defense in an animal model of duchenne muscular dystrophy
Authors: Nocetti Priscila Mantovani , Alberti Adriano , Freiberger Viviane , Ventura Letícia , Grigollo Leoberto Ricardo , Andreau Cristina Salar , Junior Rudy José Nodari , Martins Daniel Fernandes , Comim Clarissa Martinelli 
Published: May 2021

Abstract
Duchenne muscular dystrophy (DMD) is a genetic disease, which is associated to progressive skeletal muscle degeneration. In humans, DMD has early onset, causes developmental delays, and is a devastating disease that drastically diminishes the quality of life of the young individuals affected. The objective of this study was to evaluate the effects of a swimming protocol on memory and oxidative stress in an animal model of Duchenne muscular dystrophy. Male mdx and wild type mice within 28 days were used in this study. The animals were trained in a stepped swimming protocol for four consecutive weeks. It was verified that swimming was able to reduce significantly the levels of lipid peroxidation and protein carbonilation in gastrocnemius and hippocampus and striatum in exercised animals. Swimming has also prevented lipid peroxidation in diaphragm. Besides, this swimming protocol was able to increase free thiols in gastrocnemius, diaphragm and in all central nervous system structures. These results showed that a protocol of swimming as an aerobic exercise of low intensity, for four weeks, prevented aversive memory and habituation in mdx mice.
Double-barrel Free Fibula for Segmental Defect of Ulna and Radius: Case Report
Authors: Tripathy Satyaswarup , John Jerry R , Mangal Mayank 
Published: May 2021

Abstract
Introduction - Post traumatic complex defects of the forearm require multiple operations and prolonged rehabilitation. Segmental bony defects of the radius and ulna are occasionally seen as part of these complex wounds. There are a few options in bridging the skeletal defect. These include corticocancellous bone grafting, creation of a one bone forearm and vascularised fibula. Vascularised bone grafting is superior in an ischemic and fibrosed area as it enhances local blood supply. The fibula is usually used to bridge the defect in one bone i.e. the radius. Case presentation – A young male presented with an open comminuted fracture of radius and ulna following a crush injury to the left upper limb. The reconstruction was done in two stages – first a pedicled thoracoumbilical flap for soft tissue and in later stage a double barrel free fibula flap for segmental bone loss. Conclusion – The above approach offered the best chance of skeletal healing in a complex defect. The patient was able to gain reasonably good upper extremity function with the described technique.
Prevalence Low Back Pain in Security Personnel in Vidarbha region of Maharashtra, India : A cross-sectional study.
Authors: Bhure Vishnu , Lalwani Lajwanti , Bhagia Mohit 
Published: May 2021

Abstract
Introduction Low back pain (LBP) is a frequent complaint among security personnel. It is a multifaceted and dynamic phenomenon. Up to 80% of the people will experience low back pain at any point during their productive lives. Low back pain causes some weakness in those who are symptomatic.Purpose LBP is linked to injury and the inability to work. It is most active disability now a days. The population of low back pain patients is increasing day by day leading to economic and physical imbalance. In the Vidarbha region of Maharashtra, where the large population is disabled because of low back pain.Methods The sample involved 66 security staff who met the following criteria: they were between the ages of 18 and 60, had worked as a guard for more than 5 years, worked at least 8 hours per day, and had suffered from low back pain for at least 1–3 months. Questionnaire based 10 questions were asked related to body posture and work-related questions and daily activity related question were asked and the evaluation were made using scale. Intensity of discomfort, personal treatment, standing, sleeping, sex life, work life, social life, and travel were among the questions asked. These questions were based on intensity of pain.Result 66 security personnel were assessed. Out of which 20 patient had minimal disability which is 30.77% of total population. 31 participant had moderate disability which is 47.69%. whereas 12 security personnel i.e., 18.46% had severe disability and 2 security personnel had crippled disability which is 3.08% of total participants.Conclusion It is concluded that, working for 6–10 hours is more productive and less harmful for body. It is also concluded that this population of security guards has moderate and minimal low back pain disability.
Covid-19, Anxiety, and Hopelessness: Quality of Life among Healthcare Workers in Turkey
Authors: MERT Selda , KARATOPRAK Ayfer PEKER , DEMİRHAN Yeliz , BAYDEMİR Canan , ÇETİNARSLAN Berrin , CANTÜRK Zeynep , SELEK Alev , AYDIN Levent , SÖZEN Mehmet , GEZER Emre 
Published: May 2021

Abstract
Object: To investigate the effect of anxiety and hopelessness on the quality of life of healthcare workers.Methods: This cross-sectional, online questionnaire-based study was conducted between August 31 - September 30, 2020, with 729 healthcare workers in Turkey. The Sociodemographic Information Form, the Turkish version of the Shorter Version of the World Health Organization Quality of Life Instrument (WHOQOL-BREF-TR), the State-Trait Anxiety Inventory (STAI-I) and the Beck Hopelessness Scale (BHS) were used for data collection.Results: The study showed that hopelessness, the weekly working time, fatigue, and the workload experienced by healthcare workers negatively affected their quality of life, and those who needed knowledge on various issues to improve their skills had lower quality of life and higher anxiety and hopelessness levels. Conclusion: Protective measures should be taken for the health of healthcare workers against the adverse effects of the intense anxiety, hopelessness, and workload during the pandemic period. To achieve sustainable success in the provision of health services, healthcare workers must be psychologically healthy. Therefore, taking protective measures to improve the resilience of healthcare workers in all health-related areas should be a priority.
Perceived Discrimination and Psychological Distress: A Survey of Filipinx Americans in Massachusetts during the COVID-19 Pandemic
Authors: Maglalang MA PhD Dale Dagar , Condor BS Jose L. , Bañada MSW Ronna , Nuestro Erin , Katigbak  
Published: May 2021

Abstract
The onset of the COVID-19 pandemic has led to an upsurge of discrimination against Asian American populations, and Filipinx Americans (FA) have reported high cases of perceived discrimination. Prior studies have shown a relationship between experiences of discrimination and poor mental health. The purpose of this study was to examine the association of perceived discrimination and psychological distress among FA living in Massachusetts from a survey collected during the COVID-19 pandemic (N = 133). Multiple regression analysis revealed that experiences of perceived discrimination were associated with psychological distress. Older participants were less likely to report psychological distress. Compared to men, womxn were more likely to report psychological distress. Our findings highlight the potential mental health consequences of perceived discrimination experienced by FA, which may have been exacerbated during the COVID-19 pandemic.
Comparative evaluation of gel column agglutination and erythrocyte magnetized technology for red blood cell alloantibody titration
Authors: Dubey A. , Sonker A. , Chaudhary R.K. 
Published: May 2021

Abstract
Antibody titration is traditionally performed using a conventional test tube (CTT) method, which is subjected to interlaboratory variations because of a lack of standardization and reproducibility. The aim of this study is to compare newer methods such as gel column technology (GCT) and erythrocyte magnetized technology (EMT) for antibody titration in terms of accuracy and precision. Patient serum samples that contained immunoglobulin G (IgG) red blood cell (RBC) alloantibodies of a single specificity for Rh or K antigens were identified during routine transfusion service testing and stored. Titration and scoring were performed separately by different laboratory personnel on CTT, GCT, and EMT. Testing was performed a total of three times on each sample. Results were analyzed for accuracy and precision. A total of 50 samples were tested. Only 20 percent of samples tested with GCT showed titers identical to CTT, whereas 48 percent of samples tested with EMT showed titers identical to CTT. Overall, the mean of the titer difference from CTT was higher using GCT (+0.31) compared with that using EMT (+0.13). Precision shown by CTT was 30 percent, EMT was 76 percent, and GCT was 92 percent on repeat testing. GCT showed higher titer values in comparison with CTT but was found to be the most precise. EMT titers were comparable to CTT, and its precision was intermediate. Further studies to validate this method are required.
Immunohematology

2015;31:1–6.
Performance enhancement of an automotive silencer using acoustic metamaterial baffles
Authors: Deery Daniel , Kennedy John 
Published: May 2021

The potential for acoustic metamaterials to provide a breakthrough in sound attenuation has been unlocked in recent times due to advancements in additive manufacturing techniques. These materials allow the targeting of specific frequencies for sound attenuation. To date acoustic metamaterials have not been experimentally tested in an automotive silencer for performance enhancement. This study investigates the effect of acoustic metamaterials within a representative automotive silencer. These results are then compared with commonly used techniques in the silencer industry to gauge the effectiveness of the acoustic metamaterials. COMSOL simulations were used to validate the developed test rig and were compared to experimental results which were obtained using the two-load transmission loss test method. Through this testing method, the implementation of the acoustic labyrinthine DENORMS cylinder proved to be the most significant improvement in transmission loss within the silencer, with an increase in transmission loss of 40 dB at 1500 Hz. It was also found that the traditional hard wall internal baffle silencer performance can be improved by replacing it with a DENORMS internal baffle. Acoustic metamaterials have potential as a novel method for automotive companies to attenuate sound of specific frequencies.
Thermal efficiency improvement of a solar desalination process by parabolic trough collector
Authors: Bellatreche Randha , Ouali Maamar , Balistrou Mourad , Tassalit Djilali 
Published: May 2021

Abstract
Nexus water/energy security is one of the main global challenges for the future generation. Solar distillation (thermal process) represents a sustainable solution to water shortages and energy crisis in the world especially in the Middle East and North Africa region. The technique is based on a evaporation–condensation process via heat delivery through a cylindrical parabolic collector to a thermal energy storage, in the form of sand integrated into the solar still, to maximize water production efficiencies. It is a technically feasible and operational method. Results suggest that the additional solar collector flux has a direct impact on the increase in average sand and seawater temperature particularly over the period between 12 p.m. and 4 p.m. Seawater temperature increases by &gt;26.6%. The energy stored quantity delivered for the distiller basin grows proportionality with the sand temperature, which is depending directly for the solar collector absorber temperature. The difference between the both temperatures defines a decreasing rate of −19%. The daily water production by the hybrid solar distiller is 6.5 l/day, it represents an increase of +91% compared to the traditional concrete solar still production (3.4 l/day), for the same geometry and meteorological conditions.
Selective oxidation and direct decolorization of cationic dyes by persulfate without activation
Authors: Yang Bing , Luo Qiuping , Li Qinman , Meng Yuan , Lingli Li , Liu Yucheng 
Published: May 2021

Abstract
The aim of this work was to investigate the selective oxidation and direct decolorization of selected organic dyes (Methylene Blue (MB), Rhodamine B (RhB) and Orange II (OrgII)) by persulfate (PDS) without activation. Results show that the decolorization rate of MB was up to 58.0% within 10 minutes, while those of RhB and OrgII were only about 29.6% and 3.0% after 80 minutes, respectively. In comparison with the negligible impacts of pH from 2.0 to 9.0 on MB and OrgII decolorization, RhB decolorization rate obviously varied with the pH changes, and acid pH condition was beneficial for RhB decolorization. Quenching tests implied that the decolorization of dyes by PDS without activation was a nonradical oxidation process rather than sulfate radical oxidation. A plausible mechanism is that the decolorization process is attributed to the charged states of the dyes at different pH conditions, and thus direct electron transfer from dyes to PDS may occur, which is responsible for the bleaching of dyes. This study points out the potential bleaching capability of PDS without activation on cationic dyes, which may have important implications for selective oxidation treatment of dye wastewater.
Analytical modelling of continuous fibre-reinforced thermoplastics’ thermomechanical properties and implementation into a failure model
Authors: Schramm Norbert , Teltschik Jan Xaver , Kroll Lothar 
Published: May 2021

Mechanical properties of fibre-reinforced thermoplastics show a remarkable temperature dependence within application temperatures of automotive and aerospace lightweight structures. To take this dependence into account when designing components, the strengths (, , , , ) and stiffnesses (, , , , ) of continuous carbon and glass fibre-reinforced polyamide 6 and glass fibre-reinforced polypropylene are modelled analytically based on experiments. Data from temperature-controlled tests on flat samples in the range from -20 °C to +80 °C are therefore approximated using an extended hyperbolic approach. The models obtained are then evaluated based on their deviation from the experimental values. The main criterion of this evaluation is the reliable prediction of the temperature-dependent material properties while minimising the effort for generating test data and determining model parameters. Furthermore, the failure behaviour of the investigated materials under multiaxial mechanical and thermal stress is examined by implementing the determined strength curves into Cuntze’s physically based failure criterion.
Measuring the Healthiness of Ready-to-Eat Child-Targeted Cereals: Evaluation of the FoodSwitch Platform in Sweden
Authors: Mottas Antoine , Lappi Veli-Matti , Sundström Johan , Neal Bruce , Mhurchu Cliona Ni , Löf Marie , Rådholm Karin 
Published: May 2021

Background
Childhood obesity is a major public health issue. The increase in the consumption of foods with poor nutritional value, such as processed foods, contributes to this. Breakfast cereals are often advertised as a healthy way to start the day, but the healthiness of these products varies greatly.

Objective
Our main objective was to gather information about the nutritional characteristics of ready-to-eat breakfast cereals in Sweden and to investigate the healthiness of products targeted at children compared to other cereals by use of the FoodSwitch platform. A secondary objective was to evaluate the alignment between the Keyhole symbol and the Health Star Rating.

Methods
The FoodSwitch app is a mobile health (mHealth) tool used to present nutrition data and healthier alternative products to consumers. Ready-to-eat breakfast cereals from the largest Swedish grocery retailers were collected using the FoodSwitch platform. Products were defined as targeting children if they presented features addressing children on the package.

Results
Overall, information on 261 ready-to-eat cereals was examined. Of this total, 8% (n=21) were targeted at children. Child-targeted cereals were higher in sugar (22.3 g/100 g vs 12.8 g/100 g, P<.001) and lower in fiber (6.2 g/100 g vs 9.8 g/100 g, P<.001) and protein (8.1 g/100 g vs 10.5 g/100 g, P<.001). Total fat (3 g/100 g vs 10.5 g/100 g, P<.001) and saturated fat (0.8 g/100 g vs 2.6 g/100 g, P<.001) were also lower. No difference was found in salt content (P=.61). Fewer child-targeted breakfast cereals displayed an on-pack Keyhole label (n=1, 5% vs n=53, 22%; P=.06), and the mean Health Star Rating value was 3.5 for child-targeted cereals compared to others (mean 3.8, P=.07). A correlation was found between the Keyhole symbol and the Health Star Rating.

Conclusions
Ready-to-eat breakfast cereals targeted at children were less healthy in terms of sugar and fiber content compared to products not targeted at children. There is a need to improve the nutritional quality of child-targeted cereals.
Automation of Article Selection Process in Systematic Reviews Through Artificial Neural Network Modeling and Machine Learning: Protocol for an Article Selection Model
Authors: Ferreira Gabriel Ferraz , Quiles Marcos Gonçalves , Nazaré Tiago Santana , Rezende Solange Oliveira , Demarzo Marcelo 
Published: May 2021

Background
A systematic review can be defined as a summary of the evidence found in the literature via a systematic search in the available scientific databases. One of the steps involved is article selection, which is typically a laborious task. Machine learning and artificial intelligence can be important tools in automating this step, thus aiding researchers.

Objective
The aim of this study is to create models based on an artificial neural network system to automate the article selection process in systematic reviews related to “Mindfulness and Health Promotion.”

Methods
The study will be performed using Python programming software. The system will consist of six main steps: (1) data import, (2) exclusion of duplicates, (3) exclusion of non-articles, (4) article reading and model creation using artificial neural network, (5) comparison of the models, and (6) system sharing. We will choose the 10 most relevant systematic reviews published in the fields of “Mindfulness and Health Promotion” and “Orthopedics” (control group) to serve as a test of the effectiveness of the article selection.

Results
Data collection will begin in July 2021, with completion scheduled for December 2021, and final publication available in March 2022.

Conclusions
An automated system with a modifiable sensitivity will be created to select scientific articles in systematic review that can be expanded to various fields. We will disseminate our results and models through the “Observatory of Evidence” in public health, an open and online platform that will assist researchers in systematic reviews.

International Registered Report Identifier (IRRID)
PRR1-10.2196/26448