bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling of Nonlinear Load Electric Energy Measurement and Evaluation
System Based on Artificial Intelligence Algorithm
Authors: Shah Mohd Asif , Yang Xiaokun , Liu Yan , Yuan Ruiming , Zheng Sida , Lu Xin 
Published: May 2022

Background:
To improve the modeling efficiency of nonlinear load electric energy metering evaluation system, a method based on artificial intelligence algorithm was proposed.

Methods:
First introduces the artificial glowworm swarm optimization extreme learning machine, a powerful ability of global optimization using artificial firefly algorithm. Then, find the hours of training error, extreme learning machine model, input weighting matrix, and hidden layer offset matrix. Moreover, there is a certain period in a given area in our country, power load simulation through the experiment, verifying the validity and superiority of the model.

Results:
The experimental results show that the traditional BP neural network has the largest prediction relative error, and the stability of BP neural network is poor, and the relative error time is large, which is related to the defect of the neural network itself. The prediction effect of SVM method is better than that of BP neural network, because SVM has a strict theoretical and mathematical basis, so its generalization ability is better than that of BP neural network, and the algorithm has global optimality.

Conclusion:
As can be seen from the chart analysis, GSO-ELM algorithm performs better than both in terms of stability and test error. It is proved that the modeling of nonlinear load electrical energy measurement and evaluation system based on artificial intelligence algorithm is superior and effective. The proposed algorithm outperforms very well over the existing literature.
The Relationship Between Body Image, Demographics, and Medication
Adherence Among Women with Psychiatric Conditions
Authors: Galarneau David , Yoon Isabel A. , Conn Rosemary Busch 
Published: May 2022

Background:
Given the side effect of weight gain in many psychiatric medications, a patient’s body image concerns may influence medication compliance, which can be critical in the psychiatric population.

Objective:
The aim of this study was to investigate whether demographic factors including age, race, and BMI have specific associations with body image satisfaction and medication adherence among women with severe psychiatric disorders. Clinical factors such as diagnosis and type of current psychiatric medications were also examined.

Method:
Study participants included 112 women aged 18 to 88 who were admitted to a psychiatric inpatient unit in New Orleans, Louisiana. Participants completed a brief questionnaire on body image and medication adherence, specifically developed for this study. Collected data were analyzed using T-tests, analysis of variance, correlations, and multivariable regression analysis to compare differences in body image score and medication adherence score by demographic and clinical factors.

Results:
Age was associated with significant differences in body image score (F(2, 109) = 5.736, p = 0.004). African American race was associated with higher average BMI (t(39.99) = 3.375, p = 0.002) and self-esteem subscore (t(106) = 2.254, p = 0.026) but not associated with differences in body image score or medication adherence. Regression analysis showed that body image score significantly predicted medication adherence ( = 0.208, p = 0.037).

Conclusion:
Assessing how a patient feels about their weight while considering the potential differences in demographic groups may facilitate optimal medication selections and communication of treatment plans with psychiatric patients, which has implications on treatment adherence, disease course, and prognosis.
Integrated Health Record Viewers and Reduction in Duplicate Medical Imaging: Retrospective Observational Analysis
Authors: Yuan Yingzhe , Price Megan , Schmidt David F , Ward Merry , Nebeker Jonathan , Pizer Steven 
Published: May 2022

Background
Health information exchange and multiplatform health record viewers support more informed medical decisions, improve quality of care, and reduce the risk of adverse outcomes due to fragmentation and discontinuity in care during transition of care. An example of a multiplatform health record viewer is the VA/DoD Joint Longitudinal Viewer (JLV), which supports the Department of Veterans Affairs (VA) and Department of Defense (DoD) health care providers with read-only access to patient medical records integrated from multiple sources. JLV is intended to support more informed medical decisions such as reducing duplicate medical imaging when previous image study results may meet current clinical needs.

Objective
We estimated the impact of provider usage of JLV on duplicate imaging for service members transitioning from the DoD to the VA health care system.

Methods
We conducted a retrospective cross-sectional study in fiscal year 2018 to examine the relationship between providers’ use of JLV and the likelihood of ordering duplicate images. Our sample included recently separated service members who had a VA primary care visit in fiscal year 2018 within 90 days of a DoD imaging study. Patients who received at least one imaging study at VA within 90 days of a DoD imaging study of the same imaging mode and on the same body part are considered to have received potentially duplicate imaging studies. We use a logistic regression model with “JLV provider” (providers with 1 or more JLV audits in the prior 6 months) as the independent variable to estimate the relationship between JLV use and ordering of duplicate images. Control variables included provider image ordering rates in the prior 6 months, provider type, patient demographics (age, race, gender), and clinical characteristics (Elixhauser comorbidity score).

Results
Providers known to utilize JLV in the prior 6 months order fewer duplicate images relative to providers not utilizing JLV for similar visits over time (odds ratio 0.44, 95% CI 0.24-0.78; P=.005). This effect is robust across multiple specifications of linear and logistic regression models. The provider’s practice pattern of ordering image studies and the patient’s health status are powerful confounders.

Conclusions
This study provides evidence that adoption of a longitudinal viewer of health records from multiple electronic health record systems is associated with a reduced likelihood of ordering duplicate images. Investments in health information exchange systems may be effective ways to improve the quality of care and reduce adverse outcomes for patients experiencing fragmentation and discontinuity of care.
Improving Well-being With a Mobile Artificial Intelligence–Powered Acceptance Commitment Therapy Tool: Pragmatic Retrospective Study
Authors: Naor Navot , Frenkel Alex , Winsberg Mirène 
Published: May 2022

Background
Research and dissemination of smartphone apps to deliver coaching and psychological driven intervention had seen a great surge in recent years. Notably, Acceptance Commitment Therapy (ACT) protocols were shown to be uniquely effective in treating symptoms for both depression and anxiety when delivered through smartphone apps. The aim of this study is to expand on that work and test the suitability of artificial intelligence–driven interventions delivered directly through popular texting apps.

Objective
This study evaluated our hypothesis that using Kai.ai will result in improved well-being.

Methods
We performed a pragmatic retrospective analysis of 2909 users who used Kai.ai on one of the top messaging apps (iMessage, WhatsApp, Discord, Telegram, etc). Users’ well-being levels were tracked using the World Health Organization-Five Well-Being Index throughout the engagement with service. A 1-tailed paired samples t test was used to assess well-being levels before and after usage, and hierarchical linear modeling was used to examine the change in symptoms over time.

Results
The median well-being score at the last measurement was higher (median 52) than that at the start of the intervention (median 40), indicating a significant improvement (W=2682927; P<.001). Furthermore, HLM results showed that the improvement in well-being was linearly related to the number of daily messages a user sent (β=.029; t81.36=4; P<.001), as well as the interaction between the number of messages and unique number of days (β=–.0003; t81.36=–2.2; P=.03).

Conclusions
Mobile-based ACT interventions are effective means to improve individuals’ well-being. Our findings further demonstrate Kai.ai’s great promise in helping individuals improve and maintain high levels of well-being and thus improve their daily lives.
Dose-Response Relationship of a Blended In-Person and Online Family-Based Childhood Obesity Management Program: Secondary Analysis of a Behavior Intervention
Authors: Liu Sam , Smith Nicholas , Nuss Kayla , Perdew Megan , Adiputranto Dimas , Naylor Patti-Jean 
Published: May 2022

Background
The Early Intervention Program (EIP) was a 10-week, blended, in-person and online lifestyle intervention for families with children who were off the healthy weight trajectory. The engagement pattern and the dose response of EIP have not been examined.

Objective
The aims of this paper are to examine families’ engagement patterns with the EIP and to evaluate the dose-response relationship between EIP engagement patterns and physical activity and healthy eating–related outcomes at 10 weeks.

Methods
Families with children (8-12 years old) who are off the healthy weight trajectory (child BMI ≥85th percentile for age and sex) were recruited. Pre- and postintervention questionnaires assessed child lifestyle behaviors, parental support behaviors, family lifestyle habits, as well as parental physical activity and healthy-eating identity. Hierarchical cluster analysis of both in-person and online components was used to classify engagement patterns. Regression analysis assessed differences in outcomes by engagement groups.

Results
Two distinct clusters of engagement groups were identified (N=66), which were in-person (IP; n=40, 61%) and in-person + online (IP+; n=26, 39%) engagement. Relative to the IP group at week 10, IP+ showed a greater child moderate-to-vigorous physical activity level (1.53, SD 0.56; P=.008), child physical activity confidence (1.04, SD 0.37; P=.007), parental support for child physical activity (5.54, SD 2.57; P=.04) and healthy eating (2.43, SD 1.16; P=.04), family habits for physical activity (3.02, SD 1.50; P=.049) and healthy eating (3.95, SD 1.84; P=.04), and parental identity for physical activity (2.82, SD 1.19; P=.02).

Conclusions
The online EIP portal complemented the in-person sessions. Additional engagement with the portal was associated with greater improvements in child physical activity and parental support behaviors, habits, and identity for physical activity.
The Logistics of Medication and Patient Flow in Video-Based Virtual Clinics During a Sudden COVID-19 Outbreak in Taiwan: Observational Study
Authors: Chen Ying-Hsien , Wu Hui-Wen , Huang Ching-Chang , Lee Jen-Kuang , Yang Li-Tan , Hsu Tse-Pin , Hung Chi-Sheng , Ho Yi-Lwun 
Published: May 2022

Background
The COVID-19 pandemic was well controlled in Taiwan until an outbreak in May 2021. Telemedicine was rapidly implemented to avoid further patient exposure and to unload the already burdened medical system.

Objective
To understand the effect of COVID-19 on the implementation of video-based virtual clinic visits during this outbreak, we analyzed the logistics of prescribing medications and patient flow for such virtual visits at a tertiary medical center.

Methods
We retrospectively collected information on video-based virtual clinic visits and face-to-face outpatient visits from May 1 to August 31, 2021, from the administrative database at National Taiwan University Hospital. The number of daily new confirmed COVID-19 cases in Taiwan was obtained from an open resource.

Results
There were 782 virtual clinic visits during these 3 months, mostly for the departments of internal medicine, neurology, and surgery. The 3 most common categories of medications prescribed were cardiovascular, diabetic, and gastrointestinal, of which cardiovascular medications comprised around one-third of all medications prescribed during virtual clinic visits. The number of virtual clinic visits was significantly correlated with the number of daily new confirmed COVID-19 cases, with approximately a 20-day delay (correlation coefficient 0.735; P<.001). The patient waiting time for video-based virtual clinic visits was significantly shorter compared with face-to-face clinic visits during the same period (median 3, IQR 2-6 min vs median 20, IQR 9-42 min; rank sum P<.001). Although the time saved was appreciated by the patients, online payment with direct delivery of medications without the need to visit a hospital was still their major concern.

Conclusions
Our data showed that video-based virtual clinics can be implemented rapidly after a COVID-19 outbreak. The virtual clinics were efficient, as demonstrated by the significantly reduced waiting time. However, there are still some barriers to the large-scale implementation of video-based virtual clinics. Better preparation is required to improve performance in possible future large outbreaks.
Distribution features of the weather conditions in Nha Trang Bay (The South China Sea)
Authors: Le Mau Dinh , Vlasova Galina , Nguyen Dung Thi Thuy , Pham Hoan Sy , Nguyen Tuan Van 
Published: May 2022

Nha Trang Bay is a semi-envelop coastal basin. It is located on the west coast of the South China Sea as well as in the south of the central part of the Vietnamese coast. The climate of the bay belongs to the sub-equatorial zone or to the zone of equatorial-tropical monsoons. Determination of the meteorological characteristics of an ocean region, especially for nearshore bay waters, plays a very important role in the sustainable development of the social-economical system of Vietnam. This paper presents a spatial and temporal long-term analysis of several meteorological characteristics in Nha Trang Bay, such as wind, tropical cyclones, air temperature, air humidity, and rainfall. The meteorological data were collected from the Nha Trang meteorological station during 1977–2015 (wind data until 2020).
The data for typhoons were extracted from the National Weather Service (USA) and the Japan Meteorological Agency during 1945–2015. Statistical methods for collecting and analyzing data to estimate the statistical parameters of meteorological characteristics were used in the study.
A study of results shows that the meteorological characteristics in the Nha Trang Bay are a seasonal variation of the East Asian monsoon (northeastern-NE and southwestern-SW monsoons).
The winds in Nha Trang Bay are the seasonal change, influenced by the NE monsoon from October to April and the SW monsoon from June to August. May and September are the transition periods.
Nha Trang Bay has a temperate tropical climate because the temperature regime of the bay ranges from less than 25°C in the winter and more than 28°C in the summer.
Extreme conditions, including typhoon activity and heavy rainfall (coinciding with high humidity), occurred in October, November, and December.
British Illustrated Editions of “Uncle Tom's Cabin”: Race, Working-Class Literacy, and Transatlantic Reprinting in the 1850s
Authors: HOLOHAN MARIANNE 
Published: May 2022

Abstract
Many cheap illustrated editions of Harriet Beecher Stowe's Uncle Tom's Cabin were brought out by reprint publishers in Britain in 1852 and 1853. While much scholarship about the novel's publication focuses on America, more copies of Uncle Tom's Cabin were sold in Britain, thanks to a laissez-faire publishing atmosphere that allowed reprinting to flourish and an expanded reading public that included the working classes. Most British editions of the novel were cheap editions intended for a mass readership, and many of these contained illustrations that conveyed varying ideas about race. This article investigates the publishing milieu that made cheap illustrated editions of Uncle Tom's Cabin bestsellers, interrogates the implications of race being illustrated for a white working-class readership, and uses one reprint publisher's illustrated edition as a case study to show why British illustrated editions of the novel deserve more scholarly attention.
Owen Wister: A Primary Bibliography
Authors: SCHARNHORST GARY 
Published: May 2022

Abstract
Best known today for his writings about the American West, which he visited over twenty-five times between 1885 and 1920, Owen Wister was remarkably versatile, a poet, dramatist, essayist, novelist of manners, journalist, book critic, biographer and historian, satirist, and author of children's books. This bibliography of his writings increases by over half, to over 250, the number of items Wister is known to have published, including several schoolboy exercises contributed to his prep school newspaper and the Harvard Crimson, many prefaces or introductions to books by his friends, and memoirs of his lifelong friend and Harvard classmate Theodore Roosevelt.
The Unknown Van Vechten and His Impact on His Times
Authors: SCRUGGS CHARLES 
Published: May 2022

Abstract
Edward White's study of Carl Van Vechten is both a biography and a critical study of his multifaceted career—as novelist, essayist, photographer, and patron of the Harlem Renaissance. White also argues that Van Vechten anticipates the present-day interest in gay studies, for he focuses on a little-known side of Van Vechten's life, his homosexuality and his collection of gay erotica. Although White talks intelligently about Van Vechten's essays on the blues and his friendship with and advocacy of Gertrude Stein, he merely skims the surface when discussing Van Vechten's fiction, especially his most important and controversial novel, Nigger Heaven (1926). Although White is right to call Van Vechten a modernist, he exaggerates when he calls him a “tastemaker.” H. L. Mencken had a far greater influence on his generation, as Walter Lippman noted in 1926.
The Letters of a Man of Letters
Authors: DONALDSON SCOTT 
Published: May 2022

Abstract
This review-essay presents an overview of Malcolm Cowley's life as a professional man of letters. A poet at the beginning, Cowley became best known for books about twentieth-century literary history, enlivened by incisive personal portraits of its practitioners. As a writer and editor, he played a crucial role in establishing and advancing the careers of contemporaries Hemingway, Faulkner, and Fitzgerald, and of younger writers Cheever and Kerouac. During the 1930s and stretching into the next decade, Cowley was involved in the political wars as a fervent left-winger supporting communist causes, a passion he came to regret. These subjects emerge vividly in Hans Bak's edition of Cowley's letters, sent to a wide array of well-known poets and prose writers. The book, with a first-rate introduction by son Robert Cowley and periodic commentaries by Bak, reads like a biography in the making of this important and undervalued figure in American literary history.
“The Herald of Glory and Adopted Citizen's Journal” of August 13, 1834: Early Advocacy for the Abolition of Slavery in an Urban Northeast Comic Newspaper
Authors: SLOANE DAVID E. E. 
Published: May 2022

Abstract
At a time of civic unrest in Boston and other major cities over issues of African American slavery and native American standing, a short-lived Boston humor newspaper, The Herald of Glory and Adopted Citizen's Journal, in its second issue (August 14, 1834) satirized the predominant Southern defenses of slavery in an article making fun of seven prominent contentions of slavery advocates. The text of the article is accompanied by historical background, as well as commentary, including by William L. Garrison and Charles Sumner.
Perancangan dan Pembuatan Aplikasi Manajemen Peminjaman Kendaraan Berbasis Web dengan Framework Codeigniter
Authors: Kurniawan Dwi Wahyu , Al Irsyadi Fatah Yasin 
Published: May 2022

PT. Surveyor Indonesia yang berada di Jakarta Selatan memerlukan sebuah aplikasi berbasis Web yang dapat mengatur peminjaman kendaraan operasional agar bisa terpantau seluruh aktivitas peminjamannya. Sistem peminjaman sebelumnya masih dilakukan secara manual dengan pengisian kertas sehingga proses menjadi lama dan informasi data masih belum akurat. Untuk itu diperlukan aplikasi yang dapat saling terintegrasi dalam proses peminjaman, maka aplikasi ini di buat dengan metode waterfall dan dengan bahasa pemrograman HTML, PHP, javascript, framework codeigniter serta database MySQL. Aplikasi ini diuji dengan metode blackbox untuk melihat fungsionalitas sistem, serta diimplementasika di PT Surveyor Indonesia sebagai jawaban atas kendala yang terjadi. Gambaran umun sistem yaitu terbagi menjadi 3 (tiga) level pengguna, meliputi: Staff, Kepala Bagian dan Admin Kendaraan. Dimana sistem ini dapat memantau kendaraan yang tersedia, sopir yang tersedia dan e-card atau kumpulan kartu e-money yang dapat digunakan dengan output akhir adalah laporan peminjaman kendaraan.
Rancang Bangun Data Logger Multi Kanal Terhubung IoT (Internet Of Things) Sebagai Pengukur Temperatur dengan Sensor Thermocouple
Authors: WIBOWO PRASETYO , Prasetya Dedi Ary 
Published: May 2022

Instrumentasi pengukur suatu besaran semakin banyak dikembangkan seiring dengan pesatnya perkembangan teknologi pada saat ini. Sistem instrumentasi pengukur besaran biasa digunakan untuk memonitoring besaran tersebut. Salah satu besaran yang dapat dimonitoring adalah suhu. Memonitoring suatu besaran memerlukan data logger untuk mencatat hasil pengukuran suatu objek. Data logger ini akan mencatat sesuai waktu yang ditentukan kemudian akan menyimpan data hasil pengukuran yang dilakukan. Data logger ini dirancang terhubung IoT yang mana dapat diakses dari jarak jauh menggunakan komputer ataupun smartphone. Perangkat mikrokontroler yang digunakan adalah Arduino MEGA 2560 dan perangkat IoT yang digunakan adalah Ethernet Shield W5100. Sensor yang akan mengukur suhu adalah sensor Thermocouple MAX6675 Type-K. Metode pengujian yang dilakukan dalam penelitian ini adalah pengujian kalibrasi sensor, first-order-system untuk mengetahui time constant yang diperlohen dari ­step response, dan laju perpindahan kalor. Hasil dari pengujian diperoleh rata-rata selisih antara antara sensor dengan termometer air raksa adalah kurangdari 1 ℃. Time constant saat suhu naik dan suhu turun cenderung sama besarnya. Harapannya kedepan dari hasil penelitian ini adalah dapat memudahkan user dalam memonitoring suhu yang ada pada suatu lokasi atau suhu pada suatu objek dengan tingkat selisih pengukuran kurangdari 1 ℃.