bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using machine learning algorithms to identify chronic heart disease: National Health and Nutrition Examination Survey 2011–2018
Authors: Chen Xiaofei , Guo Dingjie , Wang Yashan , Qu Zihan , He Guangliang , Sui Chuanying , Lan Linwei , Zhang Xin , Duan Yuqing , Meng Hengyu , Wang Chunpeng , Liu Xin 
Published: May 2023

Objective
The number of heart disease patients is increasing. Establishing a risk assessment model for chronic heart disease (CHD) based on risk factors is beneficial for early diagnosis and timely treatment of high-risk populations.

Methods
Four machine learning models, including logistic regression, support vector machines (SVM), random forests, and extreme gradient boosting (XGBoost), were used to evaluate the CHD among 14 971 participants in the National Health and Nutrition Examination Survey from 2011 to 2018. The area under the receiver-operator curve (AUC) is the indicator that we evaluate the model.

Results
In four kinds of models, SVM has the best classification performance (AUC = 0.898), and the AUC value of logistic regression and random forest were 0.895 and 0.894, respectively. Although XGBoost performed the worst with an AUC value of 0.891. There was no significant difference among the four algorithms. In the importance analysis of variables, the three most important variables were taking low-dose aspirin, chest pain or discomfort, and total amount of dietary supplements taken.

Conclusion
All four machine learning classifiers can identify the occurrence of CHD based on population survey data. We also determined the contribution of variables in the prediction, which can further explore their effectiveness in actual clinical data.
Three-dimensional models of the equine larynx can be used to perform traditional measures of arytenoid abduction and permit the positioning of modeled implants to demonstrate the anatomic feasibility of placing a rigid implant across the cricoarytenoid joint
Authors: Roe Heather A. , Biedrzycki Adam H. , Davenport Paul W. , Freeman David E. , Porter Erin G. , McCarrel Taralyn M. 
Published: May 2023

Abstract

OBJECTIVE
To develop 3D models of larynges to compare arytenoid abduction measurements between specimens and models, and to investigate the anatomic feasibility of placing an implant across the cricoarytenoid joint (CAJ) with or without arthrotomy.

SAMPLES
Cadaveric equine larynges (n = 9).

PROCEDURES
Equine larynges underwent sequential CT scans in a neutral position and with 2 arytenoid treatments: bilateral arytenoid abduction (ABD) and bilateral arytenoid abduction after left cricoarytenoid joint arthrotomy (ARTH). Soft tissue, cartilage, and luminal volume 3-dimensional models were generated. Rima glottidis cross-sectional area (CSA) and left-to-right quotient (LRQ) angles were measured on laryngeal specimens and models. Arytenoid translation, articular contact area, and length of modeled implants placed across the CAJ were measured on models. Data were analyzed using paired t test or ANOVA and Tukey’s post hoc test or non-parametric equivalents (P < .05).

RESULTS
ARTH CSA was larger for laryngeal specimens than models (P = .0096). There was no difference in all other measures of CSA and LRQ angle between treatment groups or between specimens and models. There was no difference between ABD and ARTH groups for arytenoid cartilage translation, contact area, and implant length. The articular contact area was sufficient for modeled implant placement across the CAJ with a narrow range of implant lengths (17.59 mm to 23.87 mm) across larynges with or without arthrotomy.

CLINICAL RELEVANCE
These results support further investigation of a CT-guided, minimally invasive surgical procedure. Future studies will evaluate the outcomes of the new procedure for technical precision, biomechanical stability, and post-operative success rates for horses with recurrent laryngeal neuropathy (RLN).
Allocation of power in NOMA based 6G-enabled internet of things using multi-objective based genetic algorithm
Authors: Saraswat Shelesh Krishna , Deolia Vinay Kumar , Shukla Aasheesh 
Published: May 2023

Abstract
Sixth generation (6G)-enabled internet of things (IoT) requires significant spectrum resources to deliver spectrum availability for massive IoT’s nodes. But the existing orthogonal multiple access limits the full utilization of limited spectrum resources. The non-orthogonal multiple access (NOMA) exploits the potential of power domain to improve the connectivity for 6G-enabled IoT. An efficient quality of service (QoS) aware power allocation approach is required to enhance the spectral efficiency and energy of NOMA based 6G-enabled IoT nodes. The multi-objective genetic algorithm (MOGA) is used to resolve the non-convex problem by considering the successive interference cancellation (SIC), QoS, and transmission power. Extensive experiments are drawn by using the Monte Carlo simulation to evaluate the significant improvement of the proposed model. Experimental results indicate that the proposed power allocation model provides good performance of the NOMA based IoT network.
A novel data-driven technique to produce multi- sensor virtual responses for gas sensor array-based electronic noses
Authors: Srivastava Sumit , Chaudhri Shiv Nath , Rajput Navin Singh , Mishra Ashutosh 
Published: May 2023

Abstract
Accurate detection of gas/odor requires highly selective gas sensor. However, the high-performance classification of gases/odors can be achieved using partial-selective gas sensors. Since 1980s, an array of broadly tuned (partial-selective) gas sensors have been used in several fields of science and engineering, and the resulting gas sensing systems (GSS) are popularly known as electronic noses (e-Noses). The combination of similar or different sensors in the array indirectly compensates for the requirement of high selectivity in GSS. Further, e-Nose’s performance inevitably depends on the salient features drawn from the initial responses of the gas sensor array (GSA). So obtained features are referred to as the responses of virtual sensors (VS). In this paper, we have proposed the three-input and three-output (TITO) technique to derive efficient virtual sensor responses (VSRs) which outperform its well-published peer technique. A GSA consisting of four elements is used to demonstrate the proposed technique. Our proposed technique augments the VSRs by four times compared to its peer. The efficacy of our proposed technique has been tested using nine fundamental classifiers, viz., linear support vector machine (100%), decision tree (97.5%), multi-layer perceptron neural network (100%), K-nearest neighbor (85%), logistic regression (100%), Gaussian process with radial basis function (95%), linear discriminant analysis (97.5%), random forest (100%), and AdaBoost (95%). Ten-fold cross-validation has been used to minimize the biasing impact of the intra- and inter-class variance. With the result, four classifiers successfully provide an accuracy of 100 percent. Hence, we have proposed and vindicated an efficient technique.
Optimal design of brushless DC motor for electromobility propulsion applications using Taguchi method
Authors: Knypiński Lukasz , Reddy A.V. , Venkateswararao Bathina , Devarapalli Ramesh 
Published: May 2023

Abstract
This paper presents the optimal design of the permanent magnet brushless DC (BLDC) motor for electromobility propulsion applications. Two BLDC machines were analyzed: (a) – exterior rotor machine, and (b) – interior rotor machines The optimization of both motors structures was executed by the Taguchi method. The device structure was described by three design variables. The functional parameter (efficiency) and the economic parameter (total mass of the permanent magnets) were included in the objective function. The BLDC motors have been modelled using a finite element method (FEM). Finally, the functional parameters for both motor constructions were compared. The selected results of the calculations were presented and discussed.
Análisis de red de los dominios de la Inteligencia Emocional y dimensiones del Burnout en maestros peruanos
Authors: Ramos Vera Cristian Antony , Tineo Saavedra Geraldine , Huaranga Crisostomo Erica , Serpa Barrientos Antonio , Vallejos Saldarriaga José 
Published: May 2023

Introducción. La enseñanza es una profesión emocionalmente desafiante, que a veces resulta en altos niveles de estrés, agotamiento y desgaste de los maestros. A menudo se ha afirmado que ciertas competencias emocionales como la inteligencia emocional pueden reducir los sentimientos de agotamiento de los profesores.

Método. Se analiza, de forma descriptiva y correlacional las dimensiones de la inteligencia emocional (evaluación de las propias emociones, evaluación de las emociones de los demás, regulación de las emociones, uso de las emociones) y los factores del burnout (agotamiento emocional, despersonalización y baja realización personal). Se aplicó como técnica estadística el análisis de red que representa conjuntamente las correlaciones parciales de todas las variables. Se tuvo en cuenta una muestra de 244 maestros de Educación Primaria (51.6% mujeres) y (48.4% hombres) con edades entre 25 a 65 años (M = 45.68, DT = 8.43) que laboraban en trece instituciones educativas ubicadas en áreas urbanas y semi-urbanas de la ciudad metropolitana de Lima, Perú.
Resultados. Las mayores conexiones positivas de red se encontraron entre el agotamiento emocional, la despersonalización, y la baja realización personal, así como entre la comprensión de las emociones de los demás y el uso de las emociones, ambas medidas fueron más influyentes en los demás patrones asociativos de red. Mientras la mayor asociación negativa se registró entre la baja realización personal y la comprensión de las propias emociones. Asimismo, se demostró la estabilidad de las medidas de centralidad de fuerza y la precisión de los nodos o variables de la red.
Discusión y conclusiones. Se puede concluir en la presente investigación una mayor importancia de los componentes de evaluación de las emociones de los demás y uso de las emociones, que refuerzan directa e indirectamente las conexiones de la dinámica de la Inteligencia emocional y reducen los niveles del burnout, especialmente afianzan un menor grado de agotamiento emocional, el cual fue el factor de mayor puntuación. La consideración de tales competencias emocionales es determinante para una mejor eficacia en la intervención y prevención del burnout en el profesorado. Asimismo, la medida de despersonalización es la variable nexo que influye en la manifestación de mayores niveles de sentimientos de agotamiento emocional y baja realización personal.
Perfiles resilientes y su influencia en tecnoestrés entre el profesorado de secundaria
Authors: Suria Martinez Raquel 
Published: May 2023

Introducción. En este trabajo se identifica si existen perfiles diferenciados en función del peso que cobra cada factor resiliente en el profesorado de secundaria y si los grupos resilientes obtenidos difieren en tecnoestrés.
Método. La Escala de resiliencia (1993) y el Cuestionario de Recursos, Emociones/Experiencias y Demandas en usuarios de TIC (2004), fueron administrados a 232 profesores, de entre 27 y 60 años (M = 30.60; DT = 10.44) de Alicante (España).
Resultados. El análisis de conglomerados halló una solución de tres clústeres de resiliencia: un perfil de resiliencia generalizada, un segundo perfil de niveles bajos en las tres dimensiones resilientes y un grupo con un elevado nivel de autodisciplina y bajo en aceptación de uno mismo y de la vida y en competencia social, reflejándose menor tecnoestrés en el perfil de alta resiliencia generalizada.
Discusión y conclusiones. Estos resultados apuntan la necesidad de incidir en el desarrollo de la resiliencia para enfrentar el estrés derivado de las tecnologías.
Prevalence of hepatitis B virus infection and effects of service charges on notification among pregnant women attending antenatal care at General Hospital, Otukpo, Nigeria
Authors: Anejo-Okopi Joseph , Aju-Ameh Celina Onyawoibi , Agboola Oludare Oladipo , Edegbene Augustine Ovie , Ujoh John Adole , Audu Onyemocho , Ochejele Silas , Agbo Ediga , Odu Emmanuel , Abah Stephen , Shittu Oladapo , Okpokwu Hanna Solomon , Ujah Innocent Otoboh Achanya 
Published: May 2023

Objectives:
Hepatitis B virus (HBV) infection is a global public health problem, even though its prevalence is disproportionately high in resource-limited countries, it is still under-reported. Mother-to-child transmission is a major route of HBV transmission in an endemic region like sub-Saharan Africa. This study assessed the prevalence of HBV infection and the effect of service charge on hepatitis B surface antigen (HBsAg) disease notification among pregnant women who attended the antenatal clinic at General Hospital, Otukpo, Benue State, Nigeria.

Materials and Methods:
A retrospective cohort study with convenient sampling techniques were used for all pregnant women enrolled for antenatal care (ANC) within the reviewed period. Chi-square (χ2) test was used for the test of association between the independent variable and the main outcome of the study, with statistical significance set at P = 5%.

Results:
Of the total 1144 cases reviewed, 843 (73.7%) were tested for human immunodeficiency virus (HIV) and 301 (26.3%) were tested for HBsAg. The test for HIV was free while that of HBsAg was done out of pocket expenses. The majority of the women were between 25 and 30 years with a mean age of 25 ± 9.54 years. The seropositive rate for HIV was 2.4% (n = 20) while that of HBsAg was 5.6% (n = 17). The relationship between underreporting of positive and negative cases of HBsAg and service charges was statistically significant (P < 0.005).

Conclusion:
To achieve the global goal of elimination of HBV and, or reducing the prevalence of HBsAg in general population, the free opt-in screening just like in the case of HIV must be adopted for all pregnant women accessing ANC in public health facilities. This will inform both prevention, control, and antiviral management intervention strategies.
Penilaian saham secara fundamental menggunakan metode dividend discount model dan price earning ratio untuk keputusan investasi
Authors: Ganefi Hadi Satria , Prasetyono Agus , Amalia Mei Rani 
Published: May 2023

<p><span>Penilaian saham merupakan suatu hal penting yang perlu dilakukan bagi investor dalam melakukan kegiatan investasinya. Hal ini dilakukan dengan tujuan untuk meminimalisir risiko dan memaksimalkan keuntungan yang merupakan syarat dan karakteristik saham <em>hight risk</em> – <em>hight return</em>. Investor dapat melakukan penilaian saham secara fundamental yaitu dengan memperhatikan kondisi kinerja keuangan sebagai dasar untuk pengambilan keputusan. Penelitian ini dilakukan untuk mengetahui harga wajar suatu saham pada perusahaan subsektor perbankan pada periode 2021. Penilaian saham dilakukan berdasarkan dua pendekatan yaitu <em>Dividen Discount Model</em> dan <em>Price Earning Ratio</em>, dari 47 perusahaan subsekektor yang terdaftar sebanyak 12 perusahaan memenuhi kriteria dan dipilih sebagai sampel. Hasil penelitian menunjukkan bahwa dari 12 perusahaan terpilih, terdapat 10 perusahaan yang berada dalam kondisi undervalued dan 2 perusahaan yang berada dalam kondisi <em>overvalued</em>. Dalam kondis <em>undervalued</em> invetor dapat mengambil keputusan dengan membeli saham tersebut, sedangkan pada perusahaan yang berada pada <em>overvalued</em> invetor dapat menjual saham.</span></p><p><span><em>Stock valuation is an important thing that needs to be done for investors in carrying out their investment activities.</em><em> This is with the aim of minimizing risk and maximizing profits which are the terms and characteristics of hight risk – hight return. Investors can make stock valuation fundamentally by taking into account the condition of financial performance as a basis for decision making. This research was conducted to determine the fair price of shares in banking sub-sector companies in the 2021 period. Stock valuation was carried out based on two approaches, namely the dividend discounted model and the price earning ratio, of the 47 registered sub-sector companies, 12 companies met the criteria and were selected as samples. The results showed that of the 12 companies selected, there were 10 companies that were undervalued and 2 companies that were overvalued. In undervalued conditions, investors can make decisions by buying these shares, whereas in overvalued companies, investors can sell their shares.</em></span></p><p><span><br /></span></p>
Actividad antibacteriana de Myrcianthes myrsinoides y Clinopodium pulchellum procedentes del cerro “La Botica” región La Libertad
Authors: Polo-Vidal Milagros E. , Avila-Sauna Ann K. , Suárez-Rebaza Luz A. , Costilla-Sánchez Noé I. , Ganoza-Yupanqui Mayar L. 
Published: May 2023

Introducción: La creciente resistencia y la baja disponibilidad económica incentiva la búsqueda de nuevas alternativas terapéuticas en fuentes naturales para el tratamiento de enfermedades infecciosas. Objetivo: Evaluar la actividad antibacteriana de Myrcianthes myrsinoides y Clinopodium pulchellum procedentes del cerro “La Botica” en el distrito de Cachicadán, provincia de Santiago de Chuco, región La Libertad. Materiales y métodos: Se elaboraron extractos de Myrcianthes myrsinoides y Clinopodium pulchellum al 10% en etanol 45%. Se utilizaron las cepas Bacillus subtilis, Escherichia coli, Staphylococcus aureus y Staphylococcus aureus resistente a la meticilina (SARM). El efecto antibacteriano se evaluó mediante la concentración mínima inhibitoria (CMI) y la concentración mínima bactericida (CMB). Resultados: Se determinó que la CMI del extracto de etanol 45% para M. myrsinoides fue de 0,31 mg/mL y para C. pulchellum fue de 1,25 mg/mL para SARM y S. aureus respectivamente. Además, la CMB para M. myrsinoides fue de 0,63 mg/mL (S. aureus y SARM) y C. pulchellum fue de 1,25 mg/mL (S. aureus). Conclusión: Myrcianthes myrsinoides y Clinopodium pulchellum presentan actividad bactericida frente a cuatro cepas bacteriológicas, con mayor efecto contra S. aureus.
Pengaruh Media Promosi tentang Pengetahuan Imunitas Tubuh di Masa Pandemi Covid-19 pada Keluarga Binaan di Desa Uteunkot Kecamatan Muara Dua Kota Lhokseumawe
Authors: Novalia Vera , Utariningsih Wheny , Zara Noviana 
Published: May 2023

Virus Covid-19 telah menyebabkan kematian ribuan jiwa di seluruh dunia termasuk masyarakat Indonesia, perlu kesadaran meningkatkan daya tahan tubuh dengan mengonsumsi makanan sehat apalagi masyarakat merupakan kelompok rentan terinfeksi, sehingga diperlukan pembelajaran seperti promosi kesehatan mengenai pengetahuan tentang imunitas tubuh. Tujuan penelitian ini untuk mengetahui pengaruh penggunaan media promosi tentang pengetahuan imunitas tubuh di masa pandemik covid-19 pada keluarga binaan di desa uteunkot kecamatan muara dua kota lhokseumawe. Metode penelitian ini melibatkan 90 masyarakat dengan jenis penelitian quasi eksperimen rancangan one group pretest-posttest design. Data dikumpulkan dengan menggunakan lembar check list dan observasi. Hasil penelitian didapatkan distribusi kelompok umur responden terbanyak yaitu kategori perempuan (74,4%). Usia responden terbanyak yaitu kategori remaja akhir (23,3 %). Pekerjaan paling banyak yaitu IRT (36,7%). Pendidikan terakhir yaitu SMA (31,1%). Distribusi tingkat pengetahuan responden tentang pengetahuan imunitas tubuh sebelum diberikan penyuluhan yang terbanyak pada kategori kurang (22,2%). dan kategori cukup (78,2%). Distribusi tingkat pengetahuan responden tentang imunitas tubuh setelah diberikan edukasi yang terbanyak pada kategori cukup (91,1%). Responden yang tingkat pengetahuannya pada kategori kurang (4,4%) dan baik hampir sama sebanyak (4,4%). Kesimpulan penelitian ini adalah terdapat pengaruh tingkat pengetahuan imunitas tubuh sebelum edukasi dengan sesudah edukasi pada masyarakat keluarga binaan Desa Uteunkot.
PAPAN KOMPOSIT PENGGANTI PAPAN KONVENSIONAL UNTUK MEUBEL
Authors: Salman Salman Salman 
Published: May 2023

ABSTRAK Pengusaha pengolahan kayu perlu mensiasati dengan mencari bahan baku alternatif. Salah satunya adalah papan komposit. Papan komposit memanfaatkan serbuk kayu sebagai bahan utama komponen komposit. Menguntungkannya, di semua tempat pengolahan kayu, pengusaha menyisakan tumpukan serbuk kayu terutama dari hasil serutan dan gergajian.Karena itulah perlu dimanfaatkan limbah serbuk kayu menjadi bahan papan komposit melalui kegiatan pengabdian masyarakat. Kegiatan ini diadakan di Batu Ringgit, Kelurahan Karang Pule, Mataram, NTB.Langkah kegiatan yang dillakukan yaitu dengan membuat cetakan dari papan dan lis kayu seukuran 60cm x 20 cm x 2 cm. Bahan komposit terdiri dari resin, serbuk kayu, hardener dan fiber glass. Semua bahan dicampurkan dan dimasukkan ke dalam cetakan. Hasil cetakan berupa papan komposit yang siap digunakan sebagai papan pengganti papan konvensional dari bahan baku kayu seperti pada umumnya. Kata kunci: Papan Komposit, Serbuk Kayu, Cetakan, Resin ABSTRACT The producers in the wood processing strive to seek other alternative raw materials. One of them are composite boards. Composite board utilizes the wood straws as the main component of the board. Luckily, the wood straws are available in the wood processing.By this reason, it is needed to utilize the straw woods as the disposal from wood processing. The work is done in Batu Ringgit, District of Karang Pule, NTB.The work stapes were done by producing the molding from woods with size 60 cm x 20 cm x 2 cm. The composite components consist of polyester, wood straws, fiberglass and hardener. All components were mixed in order in the molding. The result was composite board tha is ready to use as the alternative from conventional board in a common. Keywords: Composite board, Wood Straws, Molding, Fiberglass.
Pendampingan Pemanfaatan Teknologi Informasi bagi Petani di Desa Morome
Authors: Gusnawaty H.S , Taufik M. , Tusuf D. N. , Rahayu M. 
Published: May 2023

Era industri 4,0 termasuk dunia pertanian mendorong semua pihak untuk mengupdate pengetahuan dan keterampilannya menghadapi perubahan yang sangat cepat. Bagi petani, penggunaan teknologi informasi dapat menjadi solusi terhadap permasalahan budidaya yang ditemukan di lapang. Teknologi informasi membantu petani menjadi lebih cerdas dan menjadi solusi ketika keterbatasan petugas lapang di lapangan. Oleh karena itu, tim pelaksana melakukan pengenalan dan penggunaan teknologi informasi cara budidaya atau pengendalian hama dan penyakit tanaman. Metode yang digunakan adalah dialog, ceramah, praktek, demplot penanaman dan penggunaan aplikasi budidaya tanaman.Respon petani mitra cukup baik terhadap pemanfaatan teknologi termasuk. Mereka sangat terbantu khususnya ketika petani menghadapi masalah dalam budidaya tanaman misalnya dosis pupuk yang tepat, cara pemupukan yang tepat dan jenis bahan aktif dan dosis yang tepat untuk mengendalian hama atau penyakit yang mengganggu tanaman. Aplikasi berbasis internet tersebut terbukti dapat menjadi sahabat petani bukan hanya di on farm tetapi juga di off farm.