bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of Social Influence on the Intention to Use Physician Rating Websites: Moderated Mediation Analysis Using a Mixed Methods Approach
Authors: Guetz Bernhard , Bidmon Sonja 
Published: November 2022

Background
Physician rating websites (PRWs) have become increasingly important in the cross-section between health and digitalization. Social influence plays a crucial role in human behavior in many domains of life, as can be demonstrated by the increase in high-profile influential individuals such as social media influencers (SMIs). Particularly in the health-specific environment, the opinion of family and friends has a significant influence on health-related decisions. However, so far, there has been little discussion about the role of social influence as an antecedent of behavioral intention to use PRWs.

Objective
On the basis of theories of social psychology and technology acceptance and theories from the economic perspective, this study aimed to evaluate the impact of social influence on the behavioral intention to use PRWs.

Methods
We conducted 2 studies by applying a mixed methods approach including a total of 712 participants from the Austrian population. The impact of social influence on the behavioral intention to use PRWs was investigated through linear regression and mediation and moderated mediation analysis using the PROCESS macro 4.0 in SPSS 27 (IBM Corp).

Results
The 2 studies show similar results. In study 1, an experiment, no direct effect of social influence on the behavioral intention to use PRWs could be detected. However, an indirect effect of social influence on the behavioral intention to use PRWs via credibility (b=0.572; P=.005) and performance expectancy (b=0.340; P<.001) could be confirmed. The results of study 2, a cross-sectional study, demonstrate that social influence seems to have a direct impact on the behavioral intention to use PRWs (b=0.410; P<.001). However, when calculating the proposed mediation model, it becomes clear that this impact may partly be explained through the 2 mediator variables—credibility (b=0.208; P<.001) and performance expectancy (b=0.312; P<.001). In contrast to the observed direct and indirect effect, neither demographic nor psychographic variables have a significant moderating impact on the influencing chain in study 2.

Conclusions
This study provides an indication that social influence has at least an indirect impact on the behavioral intention to use PRWs. It was observed that this impact is exerted through credibility and performance expectancy. According to the findings of both studies, social influence has the potential to boost the use of PRWs. As a result, these web-based networks might be a promising future interface between health care and digitalization, allowing health care practitioners to gain a beneficial external impact while also learning from feedback. Social influence nowadays is not just limited to friends and family but can also be exerted by SMIs in the domain of PRW use. Thus, from a marketing perspective, PRW providers could think of collaborating with SMIs, and our results could contribute to stimulating discussion in this vein.
Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study
Authors: Okiyama Sho , Fukuda Memori , Sode Masashi , Takahashi Wataru , Ikeda Masahiro , Kato Hiroaki , Tsugawa Yusuke , Iwagami Masao 
Published: November 2022

Background
The global burden of influenza is substantial. It is a major disease that causes annual epidemics and occasionally, pandemics. Given that influenza primarily infects the upper respiratory system, it may be possible to diagnose influenza infection by applying deep learning to pharyngeal images.

Objective
We aimed to develop a deep learning model to diagnose influenza infection using pharyngeal images and clinical information.

Methods
We recruited patients who visited clinics and hospitals because of influenza-like symptoms. In the training stage, we developed a diagnostic prediction artificial intelligence (AI) model based on deep learning to predict polymerase chain reaction (PCR)–confirmed influenza from pharyngeal images and clinical information. In the validation stage, we assessed the diagnostic performance of the AI model. In additional analysis, we compared the diagnostic performance of the AI model with that of 3 physicians and interpreted the AI model using importance heat maps.

Results
We enrolled a total of 7831 patients at 64 hospitals between November 1, 2019, and January 21, 2020, in the training stage and 659 patients (including 196 patients with PCR-confirmed influenza) at 11 hospitals between January 25, 2020, and March 13, 2020, in the validation stage. The area under the receiver operating characteristic curve for the AI model was 0.90 (95% CI 0.87-0.93), and its sensitivity and specificity were 76% (70%-82%) and 88% (85%-91%), respectively, outperforming 3 physicians. In the importance heat maps, the AI model often focused on follicles on the posterior pharyngeal wall.

Conclusions
We developed the first AI model that can accurately diagnose influenza from pharyngeal images, which has the potential to help physicians to make a timely diagnosis.
Effect of Mobile Phone App–Based Interventions on Quality of Life and Psychological Symptoms Among Adult Cancer Survivors: Systematic Review and Meta-analysis of Randomized Controlled Trials
Authors: Qin Minghui , Chen Bo , Sun Shaohua , Liu Xiaodong 
Published: November 2022

Background
Most patients with cancer experience psychological or physical distress, which can adversely affect their quality of life (QOL). Smartphone app interventions are increasingly being used to improve QOL and psychological outcomes in patients with cancer. However, there is insufficient evidence regarding the effect of this type of intervention, with conflicting results in the literature.

Objective
In this systematic review and meta-analysis, we investigated the effectiveness of mobile phone app interventions on QOL and psychological outcomes in adult patients with cancer, with a special focus on intervention duration, type of cancer, intervention theory, treatment strategy, and intervention delivery format.

Methods
We conducted a literature search of PubMed, Web of Science, the Cochrane Library, Embase, Scopus, China National Knowledge Infrastructure, and WanFang to identify studies involving apps that focused on cancer survivors and QOL or psychological symptoms published from inception to October 30, 2022. We selected only randomized controlled trials that met the inclusion criteria and performed systematic review and meta-analysis. The standardized mean difference (SMD) with a 95% CI was pooled when needed. Sensitivity and subgroup analyses were also conducted.

Results
In total, 30 randomized controlled trials with a total of 5353 participants were included in this meta-analysis. Compared with routine care, app interventions might improve QOL (SMD=0.39, 95% CI 0.27-0.51; P<.001); enhance self-efficacy (SMD=0.15, 95% CI 0.02-0.29; P=.03); and alleviate anxiety (SMD=−0.64, 95% CI −0.73 to −0.56; P<.001), depression (SMD=−0.33, 95% CI −0.58 to −0.08; P=.009), and distress (SMD=−0.34, 95% CI −0.61 to −0.08; P=.01). Short-term (duration of ≤3 months), physician-patient interaction (2-way communication using a smartphone app), and cognitive behavioral therapy interventions might be the most effective for improving QOL and alleviating adverse psychological effects.

Conclusions
Our study showed that interventions using mobile health apps might improve QOL and self-efficacy as well as alleviate anxiety, depression, and distress in adult cancer survivors. However, these results should be interpreted with caution because of the heterogeneity of the interventions and the study design. More rigorous trials are warranted to confirm the suitable duration and validate the different intervention theories as well as address methodological flaws in previous studies.

Trial Registration
PROSPERO CRD42022370599; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=370599
EVALUATE ANTIOXIDANT ACTIVITY, PHENOLIC CONTENT AND COLOUR OF INDONESIAN STINGLESS BEE HONEY AND STING BEE HONEY CULTIVATED IN INDONESIA
Authors: Mahani  , MOHAMMED AHMED AYAT OMER , NURHADI BAMBANG 
Published: November 2022

ABSTRACT
Objective: This study's objective was to evaluate the antioxidant activity, phenolic content, and colour of Indonesian stingless and sting bee honey and to assess the correlation between antioxidant, phenolic content, and colour.
Methods: The Indonesian bee honey sample's antioxidant activity was measured using d 2,2-diphenyl-1- picrylhydrazyl (DPPH). Folin-Ciocalteu (FC) was used to determine the phenolic content. The colour was determined using a colourimeter.
Results: The values of antioxidant activity (IC50) ranged between 3.58 ± 0.03 µg/ml - 64.27 ± 0.13 µg /ml .H.itama sample from South Sumatra has the highest antioxidant activity, followed by A.dorsata from Bangka Belitung , A. cerana from North Sumatra, T. fuscobalteata from West Nusa Tenggara, and T. biroi South Sulawesi. The total phenolic content of samples ranged from 0.0543 ± 0.003 to 0.1760 ± 0.002 mg GAE/g of honey. The samples A. cerana from North Sumatra, T. biroi from South Sulawesi, A.dorsata from Bangka Belitung, and T. fuscobalteata from West Nusa Tenggara presented the highest quantities of total phenolic contents. The L⁎, a⁎ and b⁎ values ranged (3.08 ± 0.1- 56.19 ± 1.2, 0.845 ± 0.03 - 28.57 ± 0.42 and 1.19 ± 0.22 - 56.51 ± 0.9) respectively. Significant correlation between antioxidant activity, colour, and phenolic content, and of Indonesian bee honey.
Conclusion: Indonesian bee honey has a different value of antioxidant activity and phenolic content. Differences between Indonesian bee honey samples in terms of type and regions. The dark honey has higher antioxidant activity than light honey.
Keywords: Antioxidant, Stingless Bee Honey, Sting Bee Honey, Phenolic, Colour.
Using Consumer Tweets to Improve Revenue Risk Assessments in Consumer-Oriented Industries
Authors: Rozario Andrea M. , Vasarhelyi Miklos V. , Wang Tawei 
Published: November 2022

SUMMARY
This article summarizes the study of Rozario, Vasarhelyi, and Wang (2022), which examines the use of consumer tweets in improving the prediction and error detection performance of preliminary analytical procedures for the revenue account for firms that belong to consumer-oriented industries. They find that consumer tweets about product or brand interest increase the prediction and error detection ability of analytical procedures compared to analytical procedures that do not include it. These results suggest that this new source of external nonfinancial information is incrementally informative to auditors in developing assessments for the risk of misstated revenue in the planning stage of the audit. The findings of this study have important implications that may be relevant to the audits of other financial statement accounts.
Engels, Trotsky and the Natural Sciences: A case study in cosmology
Authors: Steinberg Alex 
Published: November 2022

The topic of this essay is Trotsky’s attitude to dialectical philosophy and the natural sciences. We will first summarize the tradition whose mantle Trotsky inherited as it was developed by Engels. We will then consider Trotsky’s relationship to the natural sciences. Trotsky, echoing Engels proclamations decades earlier, maintained that a dialectical philosophy is an essential guide to the work of the scientist while at the same time granting the autonomy and freedom of scientists to pursue their research. Trotsky had a lifelong interest in following the developments in the natural sciences. He also had an intuitive grasp of some important developments in the natural sciences that would only come to fruition decades after his death. We will then present a case study of how a dialectical approach to nature can assist in overcoming a crisis that is plaguing contemporary physics. Specifically we will discuss how a dialectical approach to nature can inform cosmology in the 21st century and avoid the philosophical pitfalls and dead-ends that mark the contemporary crisis in physics.
Oil-based compounding flavors more accepted by feline patients
Authors: Nichelason Amy E. , Schultz Kelly K. , Bernard Alyssa J. , Caviness Juliet E. , Alvarez Elizabeth E. 
Published: November 2022

Abstract

OBJECTIVE
To evaluate the voluntary acceptance of 10 commercially available compounding flavors in cats.

ANIMALS
46 healthy cats between 1 and 12 years of age.

PROCEDURES
Each cat underwent a 14-day study period consisting of a 4-day acclimation period followed by a 10-day trial period in which each cat was randomly offered 10 different compounding flavors. Owners completed a presurvey along with a daily observation logbook. Kits, including residual amounts of flavors, were returned and weighed to determine residual weight and calculate the amount ingested.

RESULTS
Overall, cats did not voluntarily accept most of the compounding flavors; 58.8% (124/211) and 84.5% (267/311) of offered samples of oil-based and water-based compounding flavors, respectively, were rejected or minimally accepted. Cats were significantly (P < .001) more likely to accept oil-based flavors, compared to water-based flavors. The sweet water-based flavors were least accepted, compared to water-based control and water-based savory flavors (P = .040 and P < .001, respectively). Owner-perceived acceptance was moderately correlated with residual flavor weights (Kendall tau [τ] = –0.466; P < .001). Owners were not able to accurately predict which flavors their cats would accept.

CLINICAL RELEVANCE
Cats should be offered oil-based compounding flavorings when available, whereas water-based sweet flavorings should be avoided. Owner perception of acceptance is a valid metric to assess flavor acceptance, which can be used in future studies evaluating flavor acceptance. Owners may not accurately predict their cats’ flavor preferences, limiting their ability to guide optimal flavor selection.
Dairy production sustainability through a one-health lens
Authors: Nguyen Blake T. , Briggs Kaitlyn R. , Nydam Daryl V. 
Published: November 2022

Abstract
Dairy production provides high-quality, healthful nutrients to people on a planet soon to be inhabited by over 9 billion people. In doing so, it is ever more important to continuously improve the care of dairy animals, safeguard the environment we all share, and reliably produce nutritious food while maintaining the economic viability of the people working in dairy agriculture. In this paper, we review some associations between dairy consumption and human health along with the many interconnections between people, dairy animals, plants, and our shared environment. Understanding these relationships is an example of one health at work. In the US, total dairy consumption is at its highest point in the last 50 years, while many objective measures of cow health (eg, subclinical mastitis) have never been better since they have been recorded. Further, indications of food safety such as violative antibiotic residues in milk have never been lower. Dairy foods provide essential nutrients such as protein, vitamin B12, and calcium, while there is also evidence that they are protective against chronic conditions such as cardiovascular disease. Finally, the environmental footprint of dairy production in the US, as measured by metrics such as carbon dioxide–equivalent emissions intensity per unit of dairy nutrient, is the lowest it has ever been. The companion Currents in One Health by Nguyen et al, AJVR, January 2023, discusses some additional animal welfare and environmental impact implications of modern dairy production management in detail.
Implementation of Learning of Vocal Processing Techniques Using The NHT Model in SD Negeri 10 Lut Tawar Aceh Central
Authors: Fitri Aida , Fitriani Suci 
Published: November 2022

The learning model is a plan or pattern that can be used to desaign learning, materials, and guide learning the classroom. This study aims to describe the implementation of vocal technique learning using the NHT model fourth grade of SD Negeri 10 central Aceh. This research approach is qualitative with descriptive type. Data collection techniques by observation, interviews. Data analysis technique is done by data reduction, data presentation, data verification. Based on research data that the implementation of learning technique using the NHT model has been going well. The use of the NHT model when learning motivates students in learning vocals processing techniques. Students are divided in to several groups and given assignments as ccording to initials or number. Each groups completes its task and presents the result of the task. They can also demonstrate in the form of singing practise by applying the corect vocal techniques. Keywords: Learning, NHT Model, Vocal Processing
A Single Layer of Chromium Oxide Nanoparticles Films Coated with Carbon by Applying Exploding Wire Technique for Efficient Solar Selective Absorber
Authors: Abdullah Sawsan H. , Humud Hammad R. , Mustafa Falah. I. 
Published: November 2022

The efficiency of solar energy absorption in solar heaters is increased by the use of selective absorption coating that possesses high absorption of solar radiation in the UV-visible spectrum as well as low emission at the operating temperature in the infrared region. In this work, novel selective coatings were synthesized by improving the selectivity of chromium oxide (Cr2O3) nanoparticles by doping with carbon nanoparticles using the exploding wire technique for carbon rods by high current in suspended Cr2O3 particles. The structural properties and surface topography were studied by XRD and FE-SEM, which illustrate the carbon-coated Cr2O3 nanoparticles. The prepared nanoparticles were mixed with a support material, Polyvinyl pyrrolidone (PVP) as a matrix, for use as a selective coating for three metals, namely copper, aluminium and stainless steel (SST). Reflectivity measurements were performed within the UV-Visible spectrum to calculate the absorption of solar radiation using numerical integration. The reflectivity was also measured in the range from 2.5 to 25 μm to calculate the thermal emission of the solar heater within the proposed operating temperature of 373 K. The measurements showed good efficiency of using the produced material as a selective coating which was prepared in a simple way compared to conventional methods. The best sample with efficient absorptance (α) for solar spectrum and of lowest emittance (ε) in IR region was for Al substrate coated by Cr2O3:C:PVP of α =0.886 and ε= 0.260.
Ensemble Approach for Detecting COVID-19 Propaganda on Online Social Networks
Authors: Khanday Akib Mohi Ud Din , Khan Qamar Rayees , Rabani Syed Tanzeel 
Published: November 2022

COVID-19 affected the entire world due to the unavailability of the vaccine. The social distancing was a contributing factor that gave rise to the usage of Online Social Networks. It has been seen that people share the information that comes to them without verifying its source . One of the common forms of information that is disseminated that have a radical purpose is propaganda. Propaganda is organized and conscious method of molding conclusions and impacting an individual's contemplations to accomplish the ideal aim of proselytizer. For this paper, different propagandistic tweets were shared in the COVID-19 Era. Data regarding COVID-19 propaganda was extracted from Twitter. Labelling of data was performed manually using different propaganda identification techniques and Hybrid feature engineering was used to select the essential features. Ensemble machine learning classifiers were used for performing the binary classification. Adaboost shows an accuracy of 98.7%, which learns from a weak learning algorithm by updating the weights.
Proposed Hybrid Technique in Cryptanalysis of Cryptosystem Based on PSO and SA
Authors: Jawad Riyam Noori 
Published: November 2022

Modern ciphers are one of the more difficult to break cipher systems because these ciphers high security, high speed, non - propagation error and difficulty in breaking it. One of the most important weaknesses of stream cipher is a matching or correlation between the output key-stream and the output of shift registers.
This work considers new investigation methods for cryptanalysis stream cipher using ciphertext only attack depending on Particle Swarm Optimization (PSO) for the automatic extraction for the key. It also introduces a cryptanalysis system based on PSO with suggestion for enhancement of the performance of PSO, by using Simulated Annealing (SA). Additionally, it presents a comparison for the cryptanalysis system results that were obtained by the proposed technique, which is called Modified PSO (MPSO) with classical PSO and GA. These algorithms can be used for reducing the number of attempts or trials of key space, which are needed to reach to the optimal solution (the exact initial setting of Linear Feedback Shift Register (LFSR)),and increase the speed of the search process to find the best solution. Based on the obtained results, these algorithms were shown to be effective at finding the optimal solution and the MPSO method operates better compared with PSO in the term of time and accuracy. Well known stream cipher systems were attacked by the two soft computing methods as the cases of study, which are Geffe , Brȕer and Shrinking stream cipher systems.
The Effects of Combined toxicity of Silver and Silicon Nanoparticles on Hematological and Biochemical Parameters in Male Albino Mice
Authors: Falah Zahraa , Rabee Adel M. 
Published: November 2022

In this study, the potential combined effects of silver (AgNPs) and silicon dioxide nanoparticles (SiO2NPs) on male albino mice which were exposed intraperitoneally to the 50 mg/kg and 100 mg/kg and mixed concentrations of nanoparticles (NPs) for periods of 2 and 4 weeks, were evaluated. The evaluation was performed by examining the haematological and biochemical parameters, in addition to the bioaccumulation of NPs in the liver and kidney. The results showed that the platelets count significantly increased in all exposed groups, while red blood cell count (RBCs) decreased in most exposed groups. White blood cells (WBCs) and haemoglobin (Hb) showed different levels in the exposed groups. Serum aspartate aminotransferase (AST) and serum alanine aminotransferase (ALT) levels also showed a significant increase in the exposed groups, except in the groups exposed to 100 mg/kg of NPs for 2 weeks. Whereas blood urea nitrogen) BUN) serum level showed a significant decrease in all exposed groups. However, the alkaline phosphatase (ALP), uric acid (UA) and creatinine (CR) levels did not show any significant alternations in the exposed groups. Significant increase was also noted in thyroid-stimulating hormone (TSH) levels among the exposed groups. An accumulation of AgNPs and SiO2NPs was observed both in livers and kidneys in the exposed groups. The results showed that SiO2NPs have a synergistic effect on AgNPs accumulation in the groups exposed to mixed nanoparticles.