bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnostic and Therapeutic Management of Ectopic Pregnancies
Authors: Hamad Fatimetou Abdelkader , Lamiri Nadia , Abidi Wajih , Trabelsi Dekhra , Hmid Rim Ben , Achour Radhouane 
Published: August 2021

Background :
Ectopic pregnancy is the most common cause of death among women during the first trimester of pregnancy despite the progress made with early diagnonsis. It occurs at a rate of 1 to 2 % that of live births. In Mauritania, EP is a public health issue mostly effecting young women.

Objective :
to evaluate the diagnosic abilities and the management of EP.

Methods:
This study is transverse descriptive and was carried out in the maternity of Nouakchott’s teaching hospital. The aim of this study was to provide data on the epidemiological profile, dignosis, management and prognosis of ectopic pregnancy. During the period from May 2013 to April 2014, 44 cases of ectopic pregnancies were collected. The collected data was analysed by means of SPSS version 20, Microsoft Excel 2007.

Result:
The incidence of EP was 0.99% coefficient to 1 EP per 100 live births. EP management represented 7.3% emergency surgery. The average patient age was 29.84 ± 5.988 years. The most affected age group was the 25-34 year olds (61.4%). Multigravida were more affected with a rate of 80%. Patients with an EP commonly presented with pelvic pain (91% of our patients), late in menstruation (86.3%) and vaginal bleeding (61.3%). Pelvic ultrasound was performed in 41 patient coefficient to 93%. The treatment was surgical by laparotomy in all of the cases. The surgical treatment was radical in 93.2% : Salpingectomy was performed in 86.4% of the cases, adnexectomy was performed in 6.8% of the cases.Conservative treatment was performed in 3 patients : 2 cases of salpingotomy and 1 case of tubal expression. In most cases, the postoperative evolution was simple.

Conclusion:
Until this day, ectopic pregnancy is a severe disease. despite the progress made with early diagnonsis in many cases the treatment is surgical with all its consequences and especially in the developing countries including mauritania. Improving the therapeutic management is above all improving the diagnostic procedure in a very early period. And for decades we keep saying that ectopic pregnancy: thinking about it often is not thinking enough.
Carbon Nanotubes based Composites for Electromagnetic Absorption - A Review
Authors: Singh Navdeep , Aul Gagan Deep 
Published: August 2021

:
Radar is a delicate detection device and since its evolution different techniques for reducing
electromagnetic reflections have been discovered. This paper provides a concise review on fundamentals
of absorption which reduce radar cross section from stealth target with which radar cross section
affects the survivability and mission capability. The reduction of radar cross section depends on dielectric
and magnetic properties of the material. The first section reviews the Radar Absorbing Material
(RAM) in order to provide a background on fundamentals, various stealth techniques for absorption
and its properties at microwave frequencies. The second section reviews the Multi-Walled Carbon
Nanotubes and their different composites by encapsulation of other metals, polymers or epoxies into it
and its microwave absorption properties were studies at microwave frequencies. Multi-Walled Carbon
Nanotubes based composites for microwave absorption are reviewed on the basis of various factors;
material composition, reflection loss performance, thickness, complex permittivity, complex permeability,
dielectric tangent loss, magnetic tangent loss, bandwidth, and frequency band.
A Smartphone-Based Decision Support Tool for Predicting Patients at Risk of Chemotherapy-Induced Nausea and Vomiting: Retrospective Study on App Development Using Decision Tree Induction
Authors: Mosa Abu Saleh Mohammad , Rana Md Kamruz Zaman , Islam Humayera , Hossain A K M Mosharraf , Yoo Illhoi 
Published: August 2021

Background
Chemotherapy-induced nausea and vomiting (CINV) are the two most frightful and unpleasant side effects of chemotherapy. CINV is accountable for poor treatment outcomes, treatment failure, or even death. It can affect patients' overall quality of life, leading to many social, economic, and clinical consequences.

Objective
This study compared the performances of different data mining models for predicting the risk of CINV among the patients and developed a smartphone app for clinical decision support to recommend the risk of CINV at the point of care.

Methods
Data were collected by retrospective record review from the electronic medical records used at the University of Missouri Ellis Fischel Cancer Center. Patients who received chemotherapy and standard antiemetics at the oncology outpatient service from June 1, 2010, to July 31, 2012, were included in the study. There were six independent data sets of patients based on emetogenicity (low, moderate, and high) and two phases of CINV (acute and delayed). A total of 14 risk factors of CINV were chosen for data mining. For our study, we used five popular data mining algorithms: (1) naive Bayes algorithm, (2) logistic regression classifier, (3) neural network, (4) support vector machine (using sequential minimal optimization), and (5) decision tree. Performance measures, such as accuracy, sensitivity, and specificity with 10-fold cross-validation, were used for model comparisons. A smartphone app called CINV Risk Prediction Application was developed using the ResearchKit in iOS utilizing the decision tree algorithm, which conforms to the criteria of explainable, usable, and actionable artificial intelligence. The app was created using both the bulk questionnaire approach and the adaptive approach.

Results
The decision tree performed well in both phases of high emetogenic chemotherapies, with a significant margin compared to the other algorithms. The accuracy measure for the six patient groups ranged from 79.3% to 94.8%. The app was developed using the results from the decision tree because of its consistent performance and simple, explainable nature. The bulk questionnaire approach asks 14 questions in the smartphone app, while the adaptive approach can determine questions based on the previous questions' answers. The adaptive approach saves time and can be beneficial when used at the point of care.

Conclusions
This study solved a real clinical problem, and the solution can be used for personalized and precise evidence-based CINV management, leading to a better life quality for patients and reduced health care costs.
The Psychological Experience of Frontline Perioperative Health Care Staff in Responding to COVID-19: Qualitative Study
Authors: Withiel Toni , Barson Elizabeth , Ng Irene , Segal Reny , Williams Daryl Lindsay Goulding , Krieser Roni Benjamin , Lee Keat , Mezzavia Paul Mario , Sindoni Teresa , Chen Yinwei , Fisher Caroline Anne 
Published: August 2021

Background
The rapid spread of the novel coronavirus (COVID-19) has presented immeasurable challenges to health care workers who remain at the frontline of the pandemic. A rapidly evolving body of literature has quantitatively demonstrated significant psychological impacts of the pandemic on health care workers. However, little is known about the lived experience of the pandemic for frontline medical staff.

Objective
This study aimed to explore the qualitative experience of perioperative staff from a large trauma hospital in Melbourne, Australia.

Methods
Inductive thematic analysis using a critical realist approach was used to analyze data from 9 semistructured interviews.

Results
Four key themes were identified. Hospital preparedness related to the perceived readiness of the hospital to respond to the pandemic and encompassed key subthemes around communication of policy changes, team leadership, and resource availability. Perceptions of readiness contributed to the perceived psychological impacts of the pandemic, which were highly varied and ranged from anger to anxiety. A number of coping strategies were identified in response to psychological impacts which incorporated both internal and external coping mechanisms. Finally, adaptation with time reflected change and growth over time, and encompassed all other themes.

Conclusions
While frontline staff and hospitals have rapidly marshalled a response to managing the virus, relatively less consideration was seen regarding staff mental health in our study. Findings highlight the vulnerability of health care workers in response to the pandemic and reinforce the need for a coordinated approach to managing mental health.
Forecasting COVID-19 Hospital Census: A Multivariate Time-Series Model Based on Local Infection Incidence
Authors: Nguyen Hieu M , Turk Philip J , McWilliams Andrew D 
Published: August 2021

Background
COVID-19 has been one of the most serious global health crises in world history. During the pandemic, health care systems require accurate forecasts for key resources to guide preparation for patient surges. Forecasting the COVID-19 hospital census is among the most important planning decisions to ensure adequate staffing, number of beds, intensive care units, and vital equipment.

Objective
The goal of this study was to explore the potential utility of local COVID-19 infection incidence data in developing a forecasting model for the COVID-19 hospital census.

Methods
The study data comprised aggregated daily COVID-19 hospital census data across 11 Atrium Health hospitals plus a virtual hospital in the greater Charlotte metropolitan area of North Carolina, as well as the total daily infection incidence across the same region during the May 15 to December 5, 2020, period. Cross-correlations between hospital census and local infection incidence lagging up to 21 days were computed. A multivariate time-series framework, called the vector error correction model (VECM), was used to simultaneously incorporate both time series and account for their possible long-run relationship. Hypothesis tests and model diagnostics were performed to test for the long-run relationship and examine model goodness of fit. The 7-days-ahead forecast performance was measured by mean absolute percentage error (MAPE), with time-series cross-validation. The forecast performance was also compared with an autoregressive integrated moving average (ARIMA) model in the same cross-validation time frame. Based on different scenarios of the pandemic, the fitted model was leveraged to produce 60-days-ahead forecasts.

Results
The cross-correlations were uniformly high, falling between 0.7 and 0.8. There was sufficient evidence that the two time series have a stable long-run relationship at the .01 significance level. The model had very good fit to the data. The out-of-sample MAPE had a median of 5.9% and a 95th percentile of 13.4%. In comparison, the MAPE of the ARIMA had a median of 6.6% and a 95th percentile of 14.3%. Scenario-based 60-days-ahead forecasts exhibited concave trajectories with peaks lagging 2 to 3 weeks later than the peak infection incidence. In the worst-case scenario, the COVID-19 hospital census can reach a peak over 3 times greater than the peak observed during the second wave.

Conclusions
When used in the VECM framework, the local COVID-19 infection incidence can be an effective leading indicator to predict the COVID-19 hospital census. The VECM model had a very good 7-days-ahead forecast performance and outperformed the traditional ARIMA model. Leveraging the relationship between the two time series, the model can produce realistic 60-days-ahead scenario-based projections, which can inform health care systems about the peak timing and volume of the hospital census for long-term planning purposes.
Examining the Public’s Most Frequently Asked Questions Regarding COVID-19 Vaccines Using Search Engine Analytics in the United States: Observational Study
Authors: Sajjadi Nicholas B , Shepard Samuel , Ottwell Ryan , Murray Kelly , Chronister Justin , Hartwell Micah , Vassar Matt 
Published: August 2021

Background
The emergency authorization of COVID-19 vaccines has offered the first means of long-term protection against COVID-19–related illness since the pandemic began. It is important for health care professionals to understand commonly held COVID-19 vaccine concerns and to be equipped with quality information that can be used to assist in medical decision-making.

Objective
Using Google’s RankBrain machine learning algorithm, we sought to characterize the content of the most frequently asked questions (FAQs) about COVID-19 vaccines evidenced by internet searches. Secondarily, we sought to examine the information transparency and quality of sources used by Google to answer FAQs on COVID-19 vaccines.

Methods
We searched COVID-19 vaccine terms on Google and used the “People also ask” box to obtain FAQs generated by Google’s machine learning algorithms. FAQs are assigned an “answer” source by Google. We extracted FAQs and answer sources related to COVID-19 vaccines. We used the Rothwell Classification of Questions to categorize questions on the basis of content. We classified answer sources as either academic, commercial, government, media outlet, or medical practice. We used the Journal of the American Medical Association’s (JAMA’s) benchmark criteria to assess information transparency and Brief DISCERN to assess information quality for answer sources. FAQ and answer source type frequencies were calculated. Chi-square tests were used to determine associations between information transparency by source type. One-way analysis of variance was used to assess differences in mean Brief DISCERN scores by source type.

Results
Our search yielded 28 unique FAQs about COVID-19 vaccines. Most COVID-19 vaccine–related FAQs were seeking factual information (22/28, 78.6%), specifically about safety and efficacy (9/22, 40.9%). The most common source type was media outlets (12/28, 42.9%), followed by government sources (11/28, 39.3%). Nineteen sources met 3 or more JAMA benchmark criteria with government sources as the majority (10/19, 52.6%). JAMA benchmark criteria performance did not significantly differ among source types (χ24=7.40; P=.12). One-way analysis of variance revealed a significant difference in mean Brief DISCERN scores by source type (F4,23=10.27; P<.001).

Conclusions
The most frequently asked COVID-19 vaccine–related questions pertained to vaccine safety and efficacy. We found that government sources provided the most transparent and highest-quality web-based COVID-19 vaccine–related information. Recognizing common questions and concerns about COVID-19 vaccines may assist in improving vaccination efforts.
Ecological Momentary Assessment of Depression in People With Advanced Dementia: Longitudinal Pilot Study
Authors: Niculescu Iulia , Quirt Hannah , Arora Twinkle , Borsook Terry , Green Robin , Ford Brett , Iaboni Andrea 
Published: August 2021

Background
Barriers to assessing depression in advanced dementia include the presence of informant and patient recall biases. Ecological momentary assessment provides an improved approach for mood assessment by collecting observations in intervals throughout the day, decreasing recall bias, and increasing ecological validity.

Objective
This study aims to evaluate the feasibility, reliability, and validity of the modified 4-item Cornell Scale for Depression in Dementia for Momentary Assessment (mCSDD4-MA) tool to assess depression in patients with advanced dementia.

Methods
A intensive longitudinal pilot study design was used. A total of 12 participants with advanced dementia were enrolled from an inpatient psychogeriatric unit. Participants were assessed using clinical depression assessments at admission and discharge. Research staff recorded observations four times a day for 6 weeks on phones with access to the mCSDD4-MA tool. Descriptive data related to feasibility were reported (ie, completion rates). Statistical models were used to examine the interrater reliability and construct and predictive validity of the data.

Results
Overall, 1923 observations were completed, representing 55.06% (1923/3496) of all rating opportunities with 2 raters and 66.01% (1923/2913) with at least one rater. Moderate interrater reliability was demonstrated for all items, except for lack of interest. Moderate correlations were observed between observers and patient-reported outcomes, where observers reported fewer symptoms relative to participants’ self-reports. Several items were associated with and able to predict depression.

Conclusions
The mCSDD4-MA tool was feasible to use, and most items in the tool showed moderate reliability and validity for assessing depression in dementia. Repeated and real-time depression assessment in advanced dementia holds promise for the identification of clinical depression and depressive symptoms.
ESTRATEGIAS DE AFRONTAMIENTO AL ESTRÉS EN UNA MUESTRA DE JÓVENES UNIVERSITARIOS URUGUAYOS
Authors: Scafarelli Tarabal Laura Mariana , García Pérez Reina Coral 
Published: August 2021

El estudiante universitario, especialmente en su primer año de formación, se enfrenta a diversos cambios, transiciones y dificultades distintas a las que vivió hasta el momento, y, generalmente, se debate entre afrontarlas como el adolescente que está dejando de ser o como el adulto que aún no es. El afrontamiento atraviesa toda su vida; no sólo en lo académico sino también en lo emocional, familiar, vincular y social. Este estudio tiene como objetivos determinar si el perfil de afrontamiento de los estudiantes universitarios de cinco carreras diferentes varía de acuerdo a la carrera que cursan, por un lado, y según el sexo por otro. La presente investigación, de tipo exploratoria, descriptiva y comparativa, se realizó mediante la administración de la escala ACS a 139 estudiantes de Derecho, Educación Inicial, Ingeniería, Odontología y Psicología de primer año de Universidad. Se hallaron diferencias significativas según carrera y sexo.
Direitos linguísticos e a promoção da diversidade linguística no Brasil
Authors: Castellain Mayworm Maria Clara 
Published: August 2021

O presente trabalho busca traçar um panorama histórico do Direito Linguístico na legislação internacional e no ordenamento interno, bem como um panorama geral do seu desenvolvimento enquanto disciplina e campo de estudo (ABREU, 2018, 2020). Apresentaremos uma revisão conceitual, considerando os marcos teóricos, os sujeitos e princípios dos Direitos Linguísticos com enfoque em dois pontos que vem ganhando força nos últimos anos em relação à proteção de comunidades em situação de vulnerabilidade: a cooficialização de línguas em nível municipal e a consideração das línguas como patrimônio imaterial do Estado (CASTELANO RODRIGUES, 2018). Nosso estudo parte de uma pesquisa interpretativa-qualitativa de cunho documental, que lida com um tema atual e com constante mudanças e atualizações, por esse motivo, combinamos uma pesquisa bibliográfica com uma revisão de legislação pertinente, além de dados extraídos de instituições governamentais. Nosso intuito é demostrar como o fortalecimento da disciplina Direito Linguístico no Brasil pode ser uma importante ferramenta para acolher demandas apresentadas pela sociedade civil em prol de um espaço linguisticamente mais plural e democrático.
Palavras-chave: Direitos Linguísticos. Diversidade Linguística. Línguas minorizadas.
ANALISIS KESALAHAN BERBAHASA INDONESIA PADA STATUS DAN KOMENTAR DI FACEBOOK
Authors: Setiawan Kodrat Eko Putro , Zyuliantina Wixke 
Published: August 2021

Kesalahan Berbahasa sering ditemukan dalam status dan komentar pada pengguna Facebook. Metode dalam penelitian ini adalah deskriptif kualitatif. Penelitian ini bertujuan untuk mendeskripsikan kesalahan berbahasa berupa ejaan dalam status dan komentar pada facebook. Teknik pengumpulan data dalam penelitian ini menggunakan simak dan catat. Analisis data dalam penelitian ini dengan cara mengklasifikasi dan mengelompokkan. Hasil penelitian ini ialah kesalahan berbahasa pada status dan komentar dalam Facebook meliputi pembuatan akronim, penggunaan huruf miring, penggunaan huruf kapital, penggunaan kosakata, pembuatan singkatan, penyusunan kalimat, penulisan istilah, penulisan tanda tanya, penggunaan tanda titik, penggunaan tanda seru, penggunaan tanda koma, penggunaan tanda petik dan penulisan harga. Selain itu, kesalahan berbahasa lainnya berupa variasi bahasa gaul meliputi: bahasa Indonesia gaul bercampur bahasa Inggris; bahasa Indonesia gaul, bahasa Inggris, dan bahasa Jawa; bahasa Indonesia gaul, bahasa Inggris dan bahasa Mandarin. Kata Kunci: Kesalahan Berbahasa, Status, Komentar, Facebook
SEMIOTIK ROLAND BARTHES PADA CERPEN TUNAS KARYA EKO TUNAS DAN IMPLIKASINYA DALAM PEMBELAJARAN BAHASA INDONESIA
Authors: Putri Nurul Panca 
Published: August 2021

Tujuan yang ingin dicapai dari tulisan ini adalah mengetahui tanda kode semiotik yang dikemukakan oleh Roland Barthes pada kumpulan cerpen karya Eko Tunas. Cerpen karya Eko Tunas sarat akan penggunaan kode-kode yang berupa kode teka-teki, kode konotasi, kode simbolik, kode aksian dan kode budaya. Teori mengenai semiotik dapat diimplikkasikan pada pembelajaran bahasa Indonesia kelas XI di SMA pada KD 3.8 dan 4.8. cerpen yang diteliti meliputi 21 judul. Keduapuluh satu cerpen dianalisis secara semiotik untuk dapat mengetahui kode. Metode yang digunakan dalam tulisan ini adalah deksriptif kualitatif yang memaparkan tulisan berdasarkan isi karya sastra, teknik pengumpulan data dengan metode membaca dan mencatat, teknik analisis data menggunakan metode deskriptif analisis. Hasil penelitian ini menunjukkan bahwa cerpen yang ditulis Eko Tunas mempunyai tanda semiotik yang meliputi 5 kode. Jumlah data mencapai 60 data.
Deiksis Pada Kumpulan Iklan Provider 2019
Authors: Syifa Faqih Muhammad 
Published: August 2021

Penelitian ini membahas tentang Deiksis Dalam Kumpulan Iklan Provider 2019 . Adapun tujuan yang ingin di capai adalah Untuk mendeskripsikan deiksis yang terdapat pada provider telkomsel, XL dan Smartfren. Pendekatan yang digunakan yaitu pendekatan kualitatif menggunakan metode analisis isi. Data yang digunakan dalam penelitian ini adalah kata-kata, kalimat atau ungkapan pada iklan 1) Taktik My Telkomsel Tragedi Ditengah Antri 2) Jadi Berasa Xtra dengan Paket XL Xtra Combo VIP 3) Kata Hati Eps. 1 XL Present 4) Jadi Menang Menang dan Dapat Uang Jutaan Rupiah XL Xtravaganza 5) Uji Jaringan Telkomsel di Tol Jakarta-Cikampek II Elevated 6) Telkomsel 5G for Industry 4.0: Advancing The Nation, Accelerating Innovation 7) Telkomsel OMG! – Menjangkau Jarak dengan Konektivitas Tanpa Batas 8) Bagusnya 4G telkomsel : Menangkal Berita Hoax 9) Mudahnya Pindah ke Bagusnya 4G telkomsel 10) Pemenang Hadiah RUMAH – Program Undian smartWOW Tahap 2 11) Pemenang Hadiah Grand Prize – Program Undian smartWOW Tahap 2 (Mobil Vespa) 12) Dear Future Indonesia Kuota Suaramu Kuotakan Maumu Harapan Kalian Untuk Indonesia. Teknik pengumpulan data yang digunakan adalah teknik studi dokumentasi atau kajian kepustakaan. Hasil penelitian menunjukkan bahwa peneliti menemukan 75 kata yang mengandung bentuk deiksis persona, 23 kata yang mengandung jenis deiksis tempat, dan 11 bentuk kata yang mengandung jenis deiksis waktu