bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Novel Asymmetric Multilevel Inverter with Reduced Number of Switches
for Grid-tied Solar PV System
Authors: Siva Asapu , Rajendran Vanitha 
Published: May 2022

Background & Objective:
In single-phase solar PV applications, the module voltage level is limited; therefore, a coupled step up transformer is mandatory portion to interconnect into the grid. However, due to presence of transformer, the overall cost and size of the single-phase grid tied solar PV system is higher. Multilevel inverter is an alternative solution to solve these issues, but it requires more number of switches.

Methods:
In order to overcome this drawback, this particular paper proposes a novel asymmetric multilevel inverter (AMLI) with reduced number of switches for solar PV grid-tied system. The operational details of the proposed converter are explained in this paper. In addition, the MPPT control has been implemented in the proposed novel AMLI and presented in this paper. The hysteresis current control mechanism is applied to the proposed converter and corresponding control blocks are reported in this paper.

Results:
Finally, to validate the proposed system, the simulation results are performed and correlated with theoretical approach Furthermore, to verify the feasibility of proposed converter for solar PV grid-tied system, the experimental setup was made and experimental results have been measured and presented in this paper.

Conclusion:
From the measured results, it is concluded that the proposed asymmetric MLI can be most promising converter for solar PV grid connected system.
Physician-Authored Feedback in a Type 2 Diabetes Self-management App: Acceptability Study
Authors: Potter Eden , Burstein Frada , Flynn Daphne , Hwang In Dae , Dinh Tina , Goh Tian Yu , Mohammad Ebrahim Mina , Gilfillan Christopher 
Published: May 2022

Background
Type 2 diabetes (T2D) is increasingly prevalent in society, in part because of behavioral issues, with sedentary behavior, reduced exercise, and the consumption of foods with a high glycemic index being major contributors. There is evidence for the efficacy of mobile apps in promoting behavior change and lifestyle improvements in people with T2D. Many mobile phone apps help to monitor the condition of people with T2D and inform them about their health. Some of these digital interventions involve patients using apps on their own or in conjunction with health care professionals.

Objective
This study aimed to test the acceptability of receiving app-based, daily physician feedback for patients with T2D that is informed by the continuous monitoring of their activity, food choices, and glucose profiles, with the aim of encouraging healthier behavior. The GLOOK! app was designed and developed by an academic research team and pilot-tested at an Australian public hospital.

Methods
A total of 15 patients diagnosed with T2D wore a glucose monitor and an Apple Watch for 12 days. The uploaded data were integrated into the GLOOK! app on the patients’ smartphones, which also enabled the recording of activity and consumed food. A physician provided daily feedback to each individual through the app based on their data from each of the 12 days. At the beginning and end of the study, data were collected on vital signs, anthropometry, hemoglobin A1c level, fructosamine level, and fasting lipids level. Participants were also interviewed at the beginning and end of the study to assess the acceptability of the intervention and its potential impact on promoting positive behavior change.

Results
Over the 12 days of the study, there was a significant reduction of 0.22% (P=.004) in hemoglobin A1c level. There were favorable changes in fructosamine and lipid fractions; however, none reached significance. There was also a fall of 0.65 kg in body weight and falls in blood pressure and pulse rate that did not reach significance. Patient feedback on the GLOOK! system was positive. Of the 15 participants, 13 (87%) were enthusiastic about continuing to use the app system if some usability and reliability aspects were improved. All participants regarded the personalized physician feedback as supportive and helpful in understanding their own health behavior. Of the 15 participants, 4 (27%) felt that using the system encouraged long-term behavior changes.

Conclusions
A mobile app system that provides people with T2D daily, physician-generated, personalized feedback can produce favorable changes in glycemic and cardiovascular risk parameters—even in the short term—and encourage better self-management of their condition. Study participants found the experience of using the mobile app system acceptable and were motivated to establish longer-term lifestyle improvements through behavior changes.
Investigating the Impact of the New York State Flavor Ban on e-Cigarette–Related Discussions on Twitter: Observational Study
Authors: Gao Yankun , Xie Zidian , Li Dongmei 
Published: May 2022

Background
On May 18, 2020, the New York State Department of Health implemented a statewide flavor ban to prohibit the sales of all flavored vapor products, except for tobacco or any other authorized flavor.

Objective
This study aims to investigate the discussion changes in e-cigarette–related tweets over time with the implementation of the New York State flavor ban.

Methods
Through the Twitter streaming application programming interface, 59,883 e-cigarette–related tweets were collected within the New York State from February 6, 2020, to May 17, 2020 (period 1, before the implementation of the flavor ban), May 18, 2020-June 30, 2020 (period 2, between the implementation of the flavor ban and the online sales ban), July 1, 2020-September 15, 2020 (period 3, the short term after the online sales ban), and September 16, 2020-November 30, 2020 (period 4, the long term after the online sales ban). Sentiment analysis and topic modeling were conducted to investigate the changes in public attitudes and discussions in e-cigarette–related tweets. The popularity of different e-cigarette flavor categories was compared before and after the implementation of the New York State flavor ban.

Results
Our results showed that the proportion of e-cigarette–related tweets with negative sentiment significantly decreased (4305/13,246, 32.5% vs 3855/14,455, 26.67%, P<.001), and tweets with positive sentiment significantly increased (5246/13,246, 39.6% vs 7038/14,455, 48.69%, P<.001) in period 4 compared to period 3. “Teens and nicotine products” was the most frequently discussed e-cigarette–related topic in the negative tweets. In contrast, “nicotine products and quitting” was more prevalent in positive tweets. The proportion of tweets mentioning mint and menthol flavors significantly increased right after the flavor ban and decreased to lower levels over time. The proportions of fruit and sweet flavors were most frequently mentioned in period 1, decreased in period 2, and dominated again in period 4.

Conclusions
The proportion of e-cigarette–related tweets with different attitudes and frequently discussed flavor categories changed over time after the implementation of the New York State ban of flavored vaping products. This change indicated a potential impact of the flavor ban on public discussions of flavored e-cigarettes.
A Model for Estimating Biological Age From Physiological Biomarkers of Healthy Aging: Cross-sectional Study
Authors: Husted Karina Louise Skov , Brink-Kjær Andreas , Fogelstrøm Mathilde , Hulst Pernille , Bleibach Akita , Henneberg Kaj-Åge , Sørensen Helge Bjarup Dissing , Dela Flemming , Jacobsen Jens Christian Brings , Helge Jørn Wulff 
Published: May 2022

Background
Individual differences in the rate of aging and susceptibility to disease are not accounted for by chronological age alone. These individual differences are better explained by biological age, which may be estimated by biomarker prediction models. In the light of the aging demographics of the global population and the increase in lifestyle-related morbidities, it is interesting to invent a new biological age model to be used for health promotion.

Objective
This study aims to develop a model that estimates biological age based on physiological biomarkers of healthy aging.

Methods
Carefully selected physiological variables from a healthy study population of 100 women and men were used as biomarkers to establish an estimate of biological age. Principal component analysis was applied to the biomarkers and the first principal component was used to define the algorithm estimating biological age.

Results
The first principal component accounted for 31% in women and 25% in men of the total variance in the biological age model combining mean arterial pressure, glycated hemoglobin, waist circumference, forced expiratory volume in 1 second, maximal oxygen consumption, adiponectin, high-density lipoprotein, total cholesterol, and soluble urokinase-type plasminogen activator receptor. The correlation between the corrected biological age and chronological age was r=0.86 (P<.001) and r=0.81 (P<.001) for women and men, respectively, and the agreement was high and unbiased. No difference was found between mean chronological age and mean biological age, and the slope of the regression line was near 1 for both sexes.

Conclusions
Estimating biological age from these 9 biomarkers of aging can be used to assess general health compared with the healthy aging trajectory. This may be useful to evaluate health interventions and as an aid to enhance awareness of individual health risks and behavior when deviating from this trajectory.

Trial Registration
ClinicalTrials.gov NCT03680768; https://clinicaltrials.gov/ct2/show/NCT03680768

International Registered Report Identifier (IRRID)
RR2-10.2196/19209
Social Media and Online Digital Technology Use Among Muslim Young People and Parents: Qualitative Focus Group Study
Authors: Douglass Caitlin H , Borthwick Aidan , Lim Megan S C , Erbas Bircan , Eren Senem , Higgs Peter 
Published: May 2022

Background
Digital technology and social media use are common among young people in Australia and worldwide. Research suggests that young people have both positive and negative experiences online, but we know little about the experiences of Muslim communities.

Objective
This study aims to explore the positive and negative experiences of digital technology and social media use among young people and parents from Muslim backgrounds in Melbourne, Victoria, Australia.

Methods
This study involved a partnership between researchers and a not-for-profit organization that work with culturally and linguistically diverse communities. We adopted a participatory and qualitative approach and designed the research in consultation with young people from Muslim backgrounds. Data were collected through in-person and online focus groups with 33 young people aged 16-22 years and 15 parents aged 40-57 years. Data were thematically analyzed.

Results
We generated 3 themes: (1) maintaining local and global connections, (2) a paradoxical space: identity, belonging and discrimination, and (3) the digital divide between young Muslims and parents. Results highlighted that social media was an important extension of social and cultural connections, particularly during COVID-19, when people were unable to connect through school or places of worship. Young participants perceived social media as a space where they could establish their identity and feel a sense of belonging. However, participants were also at risk of being exposed to discrimination and unrealistic standards of beauty and success. Although parents and young people shared some similar concerns, there was a large digital divide in online experiences. Both groups implemented strategies to reduce social media use, with young people believing that having short technology-free breaks during prayer and quality family time was beneficial for their mental well-being.

Conclusions
Programs that address technology-related harms must acknowledge the benefits of social media for young Muslims across identity, belonging, representation, and social connection. Further research is required to understand how parents and young people can create environments that foster technology-free breaks to support mental well-being.
Predicting Postoperative Mortality With Deep Neural Networks and Natural Language Processing: Model Development and Validation
Authors: Chen Pei-Fu , Chen Lichin , Lin Yow-Kuan , Li Guo-Hung , Lai Feipei , Lu Cheng-Wei , Yang Chi-Yu , Chen Kuan-Chih , Lin Tzu-Yu 
Published: May 2022

Background
Machine learning (ML) achieves better predictions of postoperative mortality than previous prediction tools. Free-text descriptions of the preoperative diagnosis and the planned procedure are available preoperatively. Because reading these descriptions helps anesthesiologists evaluate the risk of the surgery, we hypothesized that deep learning (DL) models with unstructured text could improve postoperative mortality prediction. However, it is challenging to extract meaningful concept embeddings from this unstructured clinical text.

Objective
This study aims to develop a fusion DL model containing structured and unstructured features to predict the in-hospital 30-day postoperative mortality before surgery. ML models for predicting postoperative mortality using preoperative data with or without free clinical text were assessed.

Methods
We retrospectively collected preoperative anesthesia assessments, surgical information, and discharge summaries of patients undergoing general and neuraxial anesthesia from electronic health records (EHRs) from 2016 to 2020. We first compared the deep neural network (DNN) with other models using the same input features to demonstrate effectiveness. Then, we combined the DNN model with bidirectional encoder representations from transformers (BERT) to extract information from clinical texts. The effects of adding text information on the model performance were compared using the area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC). Statistical significance was evaluated using P<.05.

Results
The final cohort contained 121,313 patients who underwent surgeries. A total of 1562 (1.29%) patients died within 30 days of surgery. Our BERT-DNN model achieved the highest AUROC (0.964, 95% CI 0.961-0.967) and AUPRC (0.336, 95% CI 0.276-0.402). The AUROC of the BERT-DNN was significantly higher compared to logistic regression (AUROC=0.952, 95% CI 0.949-0.955) and the American Society of Anesthesiologist Physical Status (ASAPS AUROC=0.892, 95% CI 0.887-0.896) but not significantly higher compared to the DNN (AUROC=0.959, 95% CI 0.956-0.962) and the random forest (AUROC=0.961, 95% CI 0.958-0.964). The AUPRC of the BERT-DNN was significantly higher compared to the DNN (AUPRC=0.319, 95% CI 0.260-0.384), the random forest (AUPRC=0.296, 95% CI 0.239-0.360), logistic regression (AUPRC=0.276, 95% CI 0.220-0.339), and the ASAPS (AUPRC=0.149, 95% CI 0.107-0.203).

Conclusions
Our BERT-DNN model has an AUPRC significantly higher compared to previously proposed models using no text and an AUROC significantly higher compared to logistic regression and the ASAPS. This technique helps identify patients with higher risk from the surgical description text in EHRs.
Pengembangan Daerah Wisata dalam Bingkai Politik Pariwisata
Authors: Oka Prasiasa Dewa Putu 
Published: May 2022

This study aims to discuss tourism development within the framework of tourism politics, especially how tourism can change the power structure and values ​​in a Tourist Destination Area (DTW). This study is a literature review with qualitative descriptive analysis. This study finds that tourism development patterns and processes answer conflicting values ​​and interests; tourism can change the composition of power and values ​​in a tourist destination in the form of domination as the exercise of power. Tourism grows and develops during political changes strongly influenced by space and time. The study of tourism politics has shown three key players in tourism development, namely the state, society, and market. Then capitalization and commodification arise as a result of the globalization of the tourism market or the internationalization of tourism. The placement of tourism in the capitalist space due to tourism politics will talk about who gets what, where it is obtained, and how to get it.
Abstrak
Artikel ini bertujuan untuk membahas pembangunan pariwisata dalam kerangka politik pariwisata, khususnya bagaimana pariwisata dapat mengubah struktur kekuasaan dan nilai-nilai di suatu Daerah Tujuan Wisata (DTW). Penelitian ini merupakan studi literatur dengan analisis deskriptif kualitatif. Studi ini menemukan bahwa pola dan proses pengembangan pariwisata menjawab konflik nilai dan kepentingan; pariwisata dapat mengubah komposisi kekuasaan dan nilai-nilai dalam suatu daerah tujuan wisata berupa dominasi sebagai pelaksanaan kekuasaan. Pariwisata tumbuh dan berkembang pada masa perubahan politik yang sangat dipengaruhi oleh ruang dan waktu. Kajian politik pariwisata telah menunjukkan tiga pemain kunci dalam pembangunan pariwisata, yaitu negara, masyarakat, dan pasar. Kemudian kapitalisasi dan komodifikasi muncul sebagai akibat dari globalisasi pasar pariwisata atau internasionalisasi pariwisata. Penempatan pariwisata dalam ruang kapitalis karena politik pariwisata akan berbicara tentang siapa mendapat apa, dari mana diperoleh, dan bagaimana mendapatkannya.
Faktor-Faktor yang Mempengaruhi Pendapatan Rumah tangga Miskin di Sekitar Taman Nasional Bukit Dua Belas (Studi Kasus Desa-Desa Penyangga TNBD di Kecamatan Maro Sebo Ulu, Kabupaten Batang Hari)
Authors: Syaf Rudi , Hidayat M. Syurya , Achmad Erni 
Published: May 2022

Poverty and forestry has inter-connected one another. Most of the poor people live in the urban area are closely interacted with forest. This fact has been showed in some studies which are clearly stated that poor people are mostly found nearby forest area. Bukit Dua Belas national park as one of national park in Jambi province had experienced drastical forest degradation for the last 20 years. Based on the data alalysis from Citra Satelite, the total of degraded forest area is approximately 69,825 ha or in average is 3,492 ha per year. It happens because of massive encroachment which is done by the local people in a purpose to open communities’ farming. The primary objective of this research is to analyze which factors has contributed to communities’ impovorishment around TNBD. The result of this study shows that the distance of farming, size of land, the management and the status of land are the potential factor affecting the communities’ income significantly. Keywords: national park, forestry, forest degradation, poor people
Deteksi Ilusi Fiskal Kabupaten/Kota di Provinsi Jambi (Pengujian Perilaku Asimetris Pemerintah Daerah dalam Merespon Dana Perimbangan)
Authors: Bhakti Adi 
Published: May 2022

Penelitian bertujuan untuk: (1). Menganalisis perkembangan pendapatan asli daerah dan dana perimbangan kabupaten/kota dalam Provinsi Jambi; (2) Menganalisis dan mengidentifikasi fenomena ilusi fiskal yang terjadi dalam keuangan kabupaten/kota di Provinsi Jambi. Penelitian menggunakan data panel kabupaten/kota di Provinsi Jambi dalam rentang waktu tahun 2001 – 2012. Data yang diperoleh akan dianalisis dengan menggunakan regresi data panel. Variabel-variabel yang digunakan adalah belanja daerah, PDRB, Pajak Daerah, Herfindahl Concentration Taxes (HCT), Dana Alokasi Umum, dan Dana Bagi Hasil. Hasil penelitian mendapatkan: (1) Meskipun tingkat ketergantungan pemerintah kabupaten/kota di Provinsi Jambi selama periode Tahun 2007 – 2011 sudah mulai menunjukan tetapi tingkat ketergantunnya masih terkagoteri tinggi: (2) PDRB, DAU, dan DBH memiliki hubungan yang positif dan signifikan dengan pengeluaran pemerintah. Sedangkan pajak daerah (TAX) memiliki hubungan yang negatif dan signifikan secara statistik. Hasil penelitian tersebut menunjukkan terjadi ilusi fiskal setelah diberlakukannya otonomi daerah. Karena terdapat variabel pendapatan yang memiliki korelasi negatif dengan pengeluaran pemerintah, dengan nilai yang signifikan; (3) Terdapatnya fenomena ilusi fiskal di dalam kinerja anggaran pemerintah kabupaten/kota di Provinsi Jambi, disebabkan karena tingginya ketergantungan daerah transfer pemerintah pusat. Dengan kata lain, meskipun pajak daerah turun, pemerintah daerah tetap menganggarkan belanja daerah lebih besar dari tahun sebelumnya, karena harapan untuk mendapatkan dana transfer dari pusat tersebut. Keywords: Ilusi Fiskal, Dana Perimbangan, Data Panel, Belanja Daerah
Analisis Retribusi Pelayanan Parkir di Kota Jambi
Authors: Warni Eka , Firmansyah Firmansyah , Zulgani Zulgani 
Published: May 2022

This research have purpose, 1 ) to know development acceptance for service parking area retribution in Jambi city and the contribution for retribution in region, PAD and acceptance region in Jambi city, 2) to know effectiveness degree acceptance for service Parking area retribution ini Jambi City about acceptance resources for 2006 until 2011 period,3) to know factors which is influence acceptance for service parking area retribution in Jambi city. Research method which is used for this research that is Analysis from primary data is got through dissemination quetiosn list and live interview with Skilled worker parking area in Jambi city. For secondary data is time series during calculation era. Result of research to show that: 1) on the average during 2006 until 2011 period, the total of acceptance region in Jambi City has growing about 11,88%. In the same period, PAD in Jambi City has growing about 18.44%, during 2006 until 2011 period, rapid of region retribution acceptance growing in Jambi City is About 4,45% and rapid of parking area retribution growing in Jambi City has increased about 13,62%. On the Average during 2006 until 2011 period contribution of parking area retribution to the total of acceptance region is about 0,29%. In the same period contribution of parking area retribution to PAD in Jambi city is about 3,48% and contribution of parking area retribution to region retribution is about 11,44%. 2) The efficiency coefficient of acceptance for parking area retribution in Jambi City can not be calculated because there is no cost of collecting for parking area retribution so the effeciency can not be calculated. While the efficiency coefficient of acceptance for parking area retribution fo 2006 until 2011 period is very effective with value of mean contribution per year about 89,79%. 3) Among five factors which is influence acceptance for service parking area retribution, apparently, the most significant which is influence its increasing is value of parking area retribution while the othe factors do not influence for increasing and reduction of acceptance parking area retribution. Keywords: Retribution, contribution, effectiveness