bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Age on Patients’ Communication and Technology Preferences in the Era of Meaningful Use: Mixed Methods Study
Authors: Clarke Martina A , Fruhling Ann L , Sitorius Marilyn , Windle Thomas A , Bernard Tamara L , Windle John R 
Published: January 2020

Background
Identifying effective means of communication between patients and their health care providers has a positive impact on patients’ satisfaction, adherence, and health-related outcomes.

Objective
This study aimed to identify the impact of patients’ age on their communication and technology preferences when managing their health. We hypothesize that a patient’s age affects their communication and technology preferences when interacting with clinicians and managing their health.

Methods
A mixed methods study was conducted to identify the preferences of patients with cardiovascular diseases. Results were analyzed based on the patients’ age. Grounded theory was used to analyze the qualitative data. Patients were recruited based on age, gender, ethnicity, and zip code.

Results
A total of 104 patients were recruited: 34 young adults (19-39 years), 33 middle aged (40-64), and 37 senior citizens (>65). Young adults (mean 8.29, SD 1.66) reported higher computer self-efficacy than middle-aged participants (mean 5.56, SD 3.43; P<.05) and senior citizens (mean 47.55, SD 31.23; P<.05). Qualitative analysis identified the following three themes: (1) patient engagement (young adults favored mobile technologies and text messaging, middle-aged patients preferred phone calls, and senior citizens preferred direct interactions with the health care provider); (2) patient safety (young adults preferred electronic after-visit summaries [AVS] and medication reconciliation over the internet; middle-aged patients preferred paper-based or emailed AVS and medication reconciliation in person; senior citizens preferred paper-based summaries and in-person medication reconciliation); (3) technology (young adults preferred smartphones and middle-aged patients and senior citizens preferred tablets or PCs). Middle-aged patients were more concerned about computer security than any other group. A unique finding among senior citizens was the desire for caregivers to have access to their personal health record (PHR).

Conclusions
Patients of different ages have different communication and technology preferences and different preferences with respect to how they would like information presented to them and how they wish to interact with their provider. The PHR is one approach to improving patient engagement, but nontechnological options need to be sustained to support all patients.
Factors Related to User Ratings and User Downloads of Mobile Apps for Maternal and Infant Health: A Cross-Sectional Study
Authors: Biviji Rizwana , Vest Joshua R , Dixon Brian E , Cullen Theresa , Harle Christopher A 
Published: January 2020

BackgroundMobile health apps related to maternal and infant health (MIH) are prevalent and frequently used. Some of these apps are extremely popular and have been downloaded over 5 million times. However, the understanding of user behavior and user adoption of these apps based on consumer preferences for different app features and categories is limited.ObjectiveThis study aimed to examine the relationship between MIH app characteristics and users’ perceived satisfaction and intent to use.MethodsThe associations between app characteristics, ratings, and downloads were assessed in a sample of MIH apps designed to provide health education or decision-making support to pregnant women or parents and caregivers of infants. Multivariable linear regression was used to assess the relationship between app characteristics and user ratings, and ordinal logistic regression was used to assess the relationship between app characteristics and user downloads.ResultsThe analyses of user ratings and downloads included 421 and 213 apps, respectively. The average user rating was 3.79 out of 5. Compared with the Apple App Store, the Google Play Store was associated with high user ratings (beta=.33; P=.005). Apps with higher standardized user ratings (beta=.80; P<.001), in-app purchases (beta=1.12; P=.002), and in-app advertisements (beta=.64; P=.02) were more frequently downloaded. Having a health care organization developer as part of the development team was neither associated with user ratings (beta=−.20; P=.06) nor downloads (beta=−.14; P=.63).ConclusionsA majority of MIH apps are developed by non–health care organizations, which could raise concern about the accuracy and trustworthiness of in-app information. These findings could benefit app developers in designing better apps and could help inform marketing and development strategies. Further work is needed to evaluate the clinical accuracy of information provided within the apps.
Performance of Computer-Aided Diagnosis in Ultrasonography for Detection of Breast Lesions Less and More Than 2 cm: Prospective Comparative Study
Authors: Yongping Liang , Zhou Ping , Juan Zhang , Yongfeng Zhao , Liu Wengang , Shi Yifan 
Published: January 2020

Background
Computer-aided diagnosis (CAD) is used as an aid tool by radiologists on breast lesion diagnosis in ultrasonography. Previous studies demonstrated that CAD can improve the diagnosis performance of radiologists. However, the optimal use of CAD on breast lesions according to size (below or above 2 cm) has not been assessed.

Objective
The aim of this study was to compare the performance of different radiologists using CAD to detect breast tumors less and more than 2 cm in size.

Methods
We prospectively enrolled 261 consecutive patients (mean age 43 years; age range 17-70 years), including 398 lesions (148 lesions>2 cm, 79 malignant and 69 benign; 250 lesions≤2 cm, 71 malignant and 179 benign) with breast mass as the prominent symptom. One novice radiologist with 1 year of ultrasonography experience and one experienced radiologist with 5 years of ultrasonography experience were each assigned to read the ultrasonography images without CAD, and then again at a second reading while applying the CAD S-Detect. We then compared the diagnostic performance of the readers in the two readings (without and combined with CAD) with breast imaging. The McNemar test for paired data was used for statistical analysis.

Results
For the novice reader, the area under the receiver operating characteristic curve (AUC) improved from 0.74 (95% CI 0.67-0.82) from the without-CAD mode to 0.88 (95% CI 0.83-0.93; P<.001) at the combined-CAD mode in lesions≤2 cm. For the experienced reader, the AUC improved from 0.84 (95% CI 0.77-0.90) to 0.90 (95% CI 0.86-0.94; P=.002). In lesions>2 cm, the AUC moderately decreased from 0.81 to 0.80 (novice reader) and from 0.90 to 0.82 (experienced reader). The sensitivity of the novice and experienced reader in lesions≤2 cm improved from 61.97% and 73.23% at the without-CAD mode to 90.14% and 97.18% (both P<.001) at the combined-CAD mode, respectively.

Conclusions
S-Detect is a feasible diagnostic tool that can improve the sensitivity for both novice and experienced readers, while also improving the negative predictive value and AUC for lesions≤2 cm, demonstrating important application value in the clinical diagnosis of breast cancer.

Trial Registration
Chinese Clinical Trial Registry ChiCTR1800019649; http://www.chictr.org.cn/showprojen.aspx?proj=33094
Sexual Behaviors and Violence in Pornography: Systematic Review and Narrative Synthesis of Video Content Analyses
Authors: Carrotte Elise R , Davis Angela C , Lim Megan SC 
Published: January 2020

Background
Owing to increasing access to Web-based pornography and concerns about its impact on viewers, many researchers have attempted to systematically analyze the content of pornography.

Objective
We aimed to systematically review the results of quantitative content analyses of video-based pornography and identify the degree to which the following behaviors are depicted: (1) sexual behaviors and themes, (2) condom use during sexual behaviors, and (3) aggression and violence.

Methods
Inclusion criteria for article eligibility were (1) peer-reviewed publications, (2) articles in the English language, (3) articles describing a quantitative content analysis of video pornography, and (4) articles quantitatively examining at least one variable of interest.

Results
A total of 23 studies met the eligibility criteria. Studies varied in scope and definitions of behavioral variables. Condom use was rare, although more commonly depicted in gay male pornography (36%-64% videos) compared with heterosexual pornography (2%-3% videos). Normative sexual behaviors were most frequently depicted in pornography samples (eg, vaginal intercourse in 48%-90% and fellatio in 52%-90% of heterosexual videos; fellatio in 66%-100% and anal intercourse in 70%-80% of gay male videos). Extreme acts of violence (1%-3% videos) and rape (0%-6% videos) were relatively rare. However, more subtle forms of aggression, such as spanking (5%-75% videos), were more common, and unequal sexual relations (eg, domination) were also common. Although estimates varied by study, dominating and violent behaviors were nearly always directed toward women.

Conclusions
Condom nonuse and gender inequalities are common in pornography, which has implications for the development of healthy sexual relationships among pornography viewers. Higher quality research, including study replication and consistent methodological choices, is needed.
An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study
Authors: Ma Shu-Ching , Chou Willy , Chien Tsair-Wei , Chow Julie Chi , Yeh Yu-Tsen , Chou Po-Hsin , Lee Huan-Fang 
Published: January 2020

Background
Workplace bullying has been measured in many studies to investigate its effects on mental health issues. However, none have used web-based computerized adaptive testing (CAT) with bully classifications and convolutional neural networks (CNN) for reporting the extent of individual bullying in the workplace.

Objective
This study aims to build a model using CNN to develop an app for automatic detection and classification of nurse bullying-levels, incorporated with online Rasch computerized adaptive testing, to help assess nurse bullying at an earlier stage.

Methods
We recruited 960 nurses working in a Taiwan Ch-Mei hospital group to fill out the 22-item Negative Acts Questionnaire-Revised (NAQ-R) in August 2012. The k-mean and the CNN were used as unsupervised and supervised learnings, respectively, for: (1) dividing nurses into three classes (n=918, 29, and 13 with suspicious mild, moderate, and severe extent of being bullied, respectively); and (2) building a bully prediction model to estimate 69 different parameters. Finally, data were separated into training and testing sets in a proportion of 70:30, where the former was used to predict the latter. We calculated the sensitivity, specificity, and receiver operating characteristic curve (area under the curve [AUC]), along with the accuracy across studies for comparison. An app predicting the respondent bullying-level was developed, involving the model’s 69 estimated parameters and the online Rasch CAT module as a website assessment.

Results
We observed that: (1) the 22-item model yields higher accuracy rates for three categories, with an accuracy of 94% for the total 960 cases, and accuracies of 99% (AUC 0.99; 95% CI 0.99-1.00) and 83% (AUC 0.94; 95% CI 0.82-0.99) for the lower and upper groups (cutoff points at 49 and 66 points) based on the 947 cases and 42 cases, respectively; and (2) the 700-case training set, with 95% accuracy, predicts the 260-case testing set reaching an accuracy of 97. Thus, a NAQ-R app for nurses that predicts bullying-level was successfully developed and demonstrated in this study.

Conclusions
The 22-item CNN model, combined with the Rasch online CAT, is recommended for improving the accuracy of the nurse NAQ-R assessment. An app developed for helping nurses self-assess workplace bullying at an early stage is required for application in the future.
Follow-Up Investigation on the Promotional Practices of Electric Scooter Companies: Content Analysis of Posts on Instagram and Twitter
Authors: Dormanesh Allison , Majmundar Anuja , Allem Jon-Patrick 
Published: January 2020

Background
Electric scooters (e-scooters) have become a popular mode of transportation in both the United States and Europe. In the wake of this popularity, e-scooters have changed the commuting experience in many metropolitan areas. Although e-scooters offer an efficient and economical way to travel short distances in traffic-congested areas, recent studies have raised concerns over their safety. Bird and Tier Mobility are 2 popular e-scooter companies in the United States and Europe, respectively. Both companies maintain active social media accounts with hundreds of posts and tens of thousands of followers. Recent studies have shown that consumer behavior may be influenced by the content posted to popular social media platforms, such as Instagram and Twitter.

Objective
This study aimed to examine the official Instagram and Twitter accounts of Bird and Tier Mobility to determine whether these companies promote and demonstrate the use of safety gear in their posts to their consumers.

Methods
Posts to Bird’s (n=287) and Tier Mobility’s (n=190) official Instagram accounts, as well as Bird’s (n=313) and Tier Mobility’s (n=67) official Twitter accounts, were collected from November 9, 2018, to October 7, 2019. Rules for coding content of posts were informed by previous research.

Results
Among posts to Bird’s Instagram account, 69.3% (199/287) had a person visible with an e-scooter, 9.1% (26/287) contained persons wearing protective gear, and there were no mentions of protective gear in captions corresponding to the post. Among posts to Tier Mobility’s Instagram account, 84.7% (161/190) contained a person visible with an e-scooter, 36.3% (69/190) contained persons wearing protective gear, and 4.2% (8/190) of captions corresponding to posts mentioned protective gear. Among posts to Bird’s Twitter account, 71.9% (225/313) had an image, of which 44.0% (99/225) contained a person visible with an e-scooter and 15.1% (34/225) contained persons wearing protective gear. Among posts to Tier Mobility’s Twitter account, 78% (52/67) had an image, of which 52% (27/52) contained a person with an e-scooter and 21% (11/52) contained persons wearing protective gear.

Conclusions
Findings show that modeling and promoting safety is rare on Bird’s and Tier Mobility’s official social media accounts, which may contribute to the normalization of unsafe riding practices. Social media platforms may offer a potential avenue for public health officials to intervene with rider safety campaigns for public education.
KORELASI DAN ANALISIS LINTAS ANTARA PERCABANGAN DENGAN PRODUKSI CABAI MERAH (Capsicum annuumL.) HASIL IRADIASI SINAR GAMMA
Authors: Sa'diyah Nyimas , Fitri Anissa , Rugayah Rugayah , Karyanto Agus 
Published: January 2020

Produktivitas cabai merah di Indonesia masih sangat rendah jika dibandingkan dengan potensinya yang mencapai 22 ton per tahun, sedangkan produktivitas baru sekitar 8,35 ton per tahun. Peningkatan produksi cabai merah dapat dilakukan dengan memperbaiki bahan tanam melalui mutasi dengan iradiasi sinar gamma. Selanjutnya,untuk mempersingkat waktu seleksiperlu dilihat keeratan hubungan antarpeubah dengan analisis korelasi, untuk melihat pengaruh langsung dan tidak langsungnya dilakukan analisis lintas. Penelitian ini bertujuan untuk mengetahui hubungan antara percabangan cabai merah varietas Laris generasi M3 hasil iradiasi sinar gamma dengan produksi. Penelitian ini dilaksanakan pada bulan September 2018 sampai dengan Mei 2019 di Laboratorium Lapang Terpadu, Fakultas Pertanian, Universitas Lampung. Rancangan percobaan yang digunakan adalah metode single plant (seluruh tanaman ditanam dan diamati), keeratan hubungan dianalisisdengan korelasi, selanjutnya untuk melihat pengaruh langsung dan tidak langsung dilakukan analisis lintas. Hasil penelitian menunjukkan bahwa: jumlah cabang tambahan, panjang cabang tambahan, tingkat percabangan, tinggi akhir generatif, dan jumlah buah per tanaman berkorelasi positif denganbobot buah total per tanaman Pengaruh langsung jumlah buah per tanaman benar-benar mengukur keeratan hubungan dengan bobot buah per tanaman. Tinggi akhir generatif, jumlah cabang tambahan, panjang cabang tambahan, dan tingkat percabangan saling berpengaruh satu sama lain untuk mempengaruhi bobot buah per tanaman atau produksi.
Studi Etnobotani Tumbuhan Upacara Ritual Adat Kelahiran di Desa Banmati, Kecamatan Tawangsari, Kabupaten Sukoharjo
Authors: Fauziah Husna Ainun , Liina As Syaffa Al , Nurmiyati Nurmiyati 
Published: January 2020

Upacara ritual adat kelahiran merupan tindakan yang dilakukan sebelum maupun sesudah proses kelahiran yang dilakukan oleh masyarakat berdasarkan adat yang belaku di suatu daerah tertentu. Upacara ritual adat kelahiran dilakukan secara turun temurun oleh masyarakat setempat. Setiap kegiatan upacara adat yang dilakukan demi kesejahteraan keberlangsungan hidup bayi. Beragam tumbuhan digunakan dalam upacara adat kelahairan. Masyarakat Desa Banmati merupakan masyarakat yang masih menggunakan tumbuhan-tumbuhan sebagai bahan prosesi upacara ritual adat kelahiran. Penelitian ini bertujuan untuk mengetahui tumbuh-tumbuhan yang dimanfaatkan sebagai bahan upacara adat kelahiran, cara penggunaan tumbuhan dalam upacara adat kelahiran, dan cara memperoleh tumbuhan yang digunakan dalam adat kelahiran oleh masyarakat Banmati. Pengambilan sampel penelitian dilakukan dengan teknik Purposive Sampling. Pengumpulan data didapatkan melalui wawancara Semi-Stuctured. Hasil penelitian menunjukkan bahwa terdapat 14 spesies tumbuhan yang digunakan pada prosesi upacara adat oleh masyarakat Banmati kabupaten Sukoharjo.
MULTIPLE INTELLIGENCE BASED-EDUCATION Mewujudkan Indonesia sebagai Bangsa Para Juara
Authors: Husnah Ziadatul 
Published: January 2020

This article discusses on the urgence of multiple intelligences-based education. In education, the multiple intelligences approach is very relevant to the spirit of education as a process of humanizing human being. Everyone should be served individually because he/she has different potential. Therefore, indicator of achievement is depended on the individual uniqueness. There is no single indicator on achievement. The multiple intelligences highlightes there are nine kinds of intelligence, namely linguistic intelligence, logical-mathematical intelligence, rythmic-musical intelligence, visual-spatial intelligence, bodily-kinesthetic intelligence, intrapersonal intelligence, interpersonal intelligence, natural intelligence, and existential intelligence. Through this approach, the educational process should be able to produce many champions suitable of each potential
Morphological Aspects of Proximal Humerus Fractures in Different Age Groups
Authors: Gainullin V. V. , Minasov Т. B. , Bagautdinov M. M. , Akhmeldinova A. А. , Yakupova E. R. , Mukhametzyanova E. I. , Akhmeldinov D. R. , Kabirov R. D. 
Published: January 2020

Introduction. Fracture of the proximal humerus is a common injury that accounts for up to 12 % of all bone fractures and up to 65 % of humeral fractures. 13 % to 16 % of fractures in this segment are multi-fragment with bone impression. This significantly complicates the task of internal fixation. This study aims to analyze the gender and age group distribution of patients with proximal humerus fractures, and morphological aspects of these injuries.Materials and methods. This paper presents a retrospective analysis of the epidemiological and morphological parameters of patients treated surgically for proximal humerus injuries at the Department of Traumatology and Orthopedics of the State Regional Clinical Hospital of the Republic of Bashkortostan № 1 in the city of Oktyabrsky in 2010–2016. The total of 191 patients were included in the study, 121 (63.35 %) females and 70 (36.65 %) males.Results and discussions. A signifi cant increase (more than three times) in the number of proximal humerus fractures was recorded in women in the 50–65 age group and in men in the 55–60 age group. The increase in the incidence of this type of injury does not exceed 22.4 % in comparison to the younger age groups. The increase in the number of injuries in question is undoubtedly due to changes in the bone metabolism in women. The analysis of character and morphology of fractures in women of older age groups indicates a greater prevalence of unstable injury of type 1.1.B and 1.1.C according to AO/ASIF classifi cation, which, again, is due to the demineralization of the segment determined by systemic metabolic abnormalities. The fi ndings indicate the need for perioperative monitoring of the bone metabolism parameters.Conclusion.The morphology and types of fractures depend on a patient’s age and bone quality. A signifi cant increase in this pathology in women of perimenopausal age refl ects changes in bone metabolism.
Mantle Zone Cell Lymphomas. New Opportunities for Diagnosis and Treatment (Epidemiological Research)
Authors: Kankumasheva E. I. , Valiakhmetova Ch. Kh. 
Published: January 2020

Introduction. Mantle cell lymphoma is a rare type of B-cell non-Hodgkin lymphoma. According to statistics the incidence of this disorder amounts to 2-3 per 100,000 people; this is about 6% of all non-Hodgkin lymphomas. It has been established that various molecular genetic characteristics of mantle cell lymphoma patients may present opportunities for a patient-specific approach to the disease prognosis and treatment strategy.Materials and methods. The paper presents a retrospective analysis of 45 mantle cell lymphoma patients treated at the GAUZ RKOD of the Ministry of Healthcare from 2015 until now. The data used in the analysis included clinical examination, lab panels, PET CT, tumour and bone marrow biopsy specimen cytology, histology and immunohistochemistry. We analysed the epidemiological data, the patients’ clinical presentation characteristics, treatment approaches, immediate and long-term outcomes.Results and discussion. We have established that the pathological process most frequently involves bone marrow (44%) and spleen (41%). The MIPI scores distribution was as follows: high in 14 (30%), medium in 20 (45%), low in 11 (41%). Ki67 was recorded at under 30% in four cases, in others it amounted to over 30%. In 2015–2017 patients were treated with the R-CHOP protocol with the following support with rituximab. PFS averaged at 20 months, 8 (17%) of patients remain in lasting remission (since 2015). In 2017 the R-BAC (high dose cytarabine for SCT candidates) and R-B (for the elderly and comorbid patients) became protocols of first line. Since 2018 eight patients have undergone auto-SCT (at the first late recurrence) as a treatment consolidation stage. As of now 13 patients have been examined in federal centres for del17p and the TP53 mutation.Conclusion. We have demonstrated the need for and the option of treatment depending on the results of molecular genetic testing of mantle cell lymphomas.