bluuebunny/crossref_metadata_2025_split huggingface dataset:
High Frequency Return and Risk Patterns in U.S. Sector ETFs during COVID-19
Authors: Gurrib Ikhlaas , Kamalov Firuz , Alshareif Elgilani E. 
Published: October 2022

This study investigates intraday patterns in the eleven sectors of the United States (U.S.). Key contributions are (i) risk and return patterns at specific trading periods on the New York Stock Exchange (NYSE), (ii) whether a specific day return model can predict the next 15-minute positive return, and (iii) the impact of the first vaccination rollout in the U.S. on intraday Exchange-Traded-Funds (ETF) returns. Time-dependent regressions capture risk and return relationships, decision trees in machine learning compare return models, and impulse responses capture the effect of the 2019 coronavirus (COVID-19) vaccine rollout in U.S. 15-minute Standard & Poor’s Depository Receipts (SPDR) Select Sector ETF data is used over 12th March 2020-23rd February 2021. Findings support sector ETF returns fluctuate the most in the first and last 15 minutes. Average returns in the first 15 minutes are the highest, converging to near zero as the trading session continues. Overnight returns contribute the most to volatility. U-shaped patterns into both return and risk exist, especially on Mondays. Mondays and Fridays have the most significant positive returns 15 minutes after the open. Prediction scores using an all-return model were superior to any specific day return model. The first vaccination rollout has a positive effect only in energy, technology, and financial sector ETFs, however with a short-lasting effect on ETFs returns.
NURSE READINESS TO PERFORM CARDIOPULMONARY RESUSCITATION DURING COVID 19 PANDEMIC
Authors: Kombong Rita , Hatala Tri  Nurmaningsih 
Published: October 2022

Coronavirus Disease 2019 (Covid 19) has become a global pandemic with rapid spread, resulting in an increase in the number of cases of illness and death, which is the responsibility of health workers, particularly nurses on the front lines. Nurses, on the other hand, are extremely vulnerable to transmission despite wearing personal protective equipment. This treatment necessitates planning, including the readiness of nurses to provide services, especially for critical patients (cardiac arrest) requiring cardiopulmonary resuscitation (CPR). Preparedness can reduce transmission to nurses by paying attention to standard cardiopulmonary resuscitation procedures in the pandemic era.
The purpose of this study was to determine the preparedness of nurses to perform cardiopulmonary resuscitation based on their knowledge, attitudes, and skills during the Covid 19 pandemic era at dr. M Haulussy Hospital Ambon. A quantitative analytical study approach was used in this study, with a cross-sectional study design. The total number of samples in this study was 33, and the sampling technique used was Total Sampling.
The results showed there was readiness with a p-value < (0.05), knowledge with a value of 0.660, attitude with a value of 0.559, and CPR skills of 1.000.
The conclusion is that a nurse is well-prepared in terms of knowledge, attitudes, and skills. It is hoped that it will be useful to the hospital in developing plans and nursing interventions in overcoming this pandemic.

Keywords: readiness, cardiopulmonary resuscitation, COVID 19, nurse.
INTERVENSI KEPERAWATAN UNTUK MENURUNKAN KECEMASAN ANGGOTA KELUARGA PASIEN SELAMA PERIODE INTRAOPERATIVE
Authors: Sulaksono Haura Labibah Salsabil , Utami Reni Sulung 
Published: October 2022

Background: Surgery can cause anxiety of family member because uncertainty during awaiting surgery. Nursing intervention is needed to reduce anxiety of family member during intraoperative period. Objective: To identify strategies or nursing intervention in alleviating anxiety of family member of patient during intraoperative period. Method: This is literature review. Authors search article in electronic database such as SpringerLink, Scopus, EBSCOhost, Semantic Scholar, Portal Garuda and web search engine Google Scholar. The inclusion criteria of article are full text, quantitative research, in English or Indonesian language, year of publication was 2010 – 2020, and article’s topic in accordance with the research problem area. Results: Thirty – four articles were obtained and only nine articles were eligible to be included in this review. The review shows that anxiety level of family member during intraoperative decline after being given an intervention. The nursing intervention are providing information cards, providing information and visiting hours, watching TV, audiovisual orientation, and sending text messages. Conclusion: There are several nursing interventions that can be implemented by nurses to reduce family members’ anxiety during intraoperative period. Providing information to the family is very important and beneficial during intraoperative period. Latar Belakang: Tindakan pembedahan dapat mengakibatkan kecemasan pada keluarga pasien karena ketidakpastian selama menunggu operasi. Intervensi keperawatan diperlukan untuk menurunkan kecemasan keluarga pasien selama periode intraoperative. Objektif: Untuk mengidentifikasi strategi atau intervensi keperawatan dalam menurunkan kecemasan keluarga pasien selama periode intraoperative. Metode: Studi ini merupakan literature review. Peneliti melakukan penelusuran artikel secara elektronik melalui SpringerLink, Scopus, EBSCOhost, Semantic Scholar, Portal Garuda dan mesin pencari Google Scholar. Pemilihan artikel ditetapkan berdasarkan kriteria inklusi, yaitu full teks, design penelitian kuantitatif, berbahasa Inggris atau Indonesia, tahun publikasi 2010 – 2020, dan artikel sesuai dengan topik masalah penelitian. Hasil: Sebanyak 34 artikel didapatkan dan 9 artikel yang memenuhi kriteria inklusi. Hasil review menunjukkan rata – rata tingkat kecemasan keluarga pasien mengalami penurunan setelah mendapatkan intervensi keperawatan. Intervensi keperawatan yang dapat menurunkan kecemasan keluarga pasien selama menunggu operasi meliputi pemberian kartu informasi, pemberian informasi dan kunjungan, menonton TV, orientasi audiovisual, dan pengiriman pesan teks. Kesimpulan: Perawat dapat memberikan beberapa bentuk intervensi keperawatan untuk menurunkan kecemasan keluarga pasien selama periode intraoperative. Pemberian informasi kepada keluarga sangat penting dan bermanfaat selama fase intraoperative.
Diagnostics of Cognitive Development in Children by Assessing Shared Intentionality in a Biotechnical System
Authors: Danilov I. V. , Kurakina N. I. , Mihailova S. 
Published: October 2022

Introduction. Recent research shows that up to 17 % of children are diagnosed with cognitive developmental disorders. Early identification of developmental delay in children allows an earlier onset of treatment with greater efficiency. However, the modern diagnostic approach has limitations associated with the problem of correctly assessing behavioral markers of children. This classical assessing approach depends on specialists’ professionalism of and parents' competence in reporting the issue timely and informatively.Aim. Developing a computerized methodology and algorithm for estimating shared intentionality in mother-child dyads; designing a biotechnical system for the early diagnosis of a lag in children's cognitive development.Materials and methods. We analyze our own previous research, in which: 1) the goal was to measure the intellectual activity of a group while stimulating their shared intentionality; 2) the independent variable was the intellectual task; 3) the stimuli of shared intentionality were described. The method employs the mathematical apparatus of measurement theory, systems theory, and statistical methods of analysis.Results. The developed biotechnical system uses specific software for diagnosing cognitive delay in children during a 15-minute test. Two factors of the biotechnical system impact the object of assessment: an electromagnetic field for stimulating shared intentionality and an intellectual test. The system's software instantly provides the assessment results to the user (specialist or parents) in the form of recommendations understandable even to a non-specialist – it saves this database in a convenient form for further storage and processing.Conclusion. The advantage of the method is its unbiased computerized assessment, which can also diagnose subjects online, conversely to the classical approach based on behavioral markers. Another advantage of the assessment method is the possibility of diagnosing a lag in children's cognitive development at an earlier age, which does not yet imply verbal communication.
Machine Learning System for Predicting Cardiovascular Disorders in Diabetic Patients
Authors: Mayya A. , Solieman H. 
Published: October 2022

Introduction. Patients with diabetes are exposed to various cardiovascular risk factors, which lead to an increased risk of cardiac complications. Therefore, the development of a diagnostic system for diabetes and cardiovascular disease (CVD) is a relevant research task. In addition, the identification of the most significant indicators of both diseases may help physicians improve treatment, speed the diagnosis, and decrease its computational costs.Aim. To classify subjects with different diabetes types, predict the risk of cardiovascular diseases in diabetic patients using machine learning methods by finding the correlational indicators.Materials and methods. The NHANES database was used following preprocessing and balancing its data. Machine learning methods were used to classify diabetes based on physical examination data and laboratory data. Feature selection methods were used to derive the most significant indicators for predicting CVD risk in diabetic patients. Performance optimization of the developed classification and prediction models was carried out based on different evaluation metrics.Results. The developed model (Random Forest) achieved the accuracy of 93.1 % (based on laboratory data) and 88 % (based on pysicical examination plus laboratory data). The top five most common predictors in diabetes and prediabetes were found to be glycohemoglobin, basophil count, triglyceride level, waist size, and body mass index (BMI). These results seem logical, since glycohemoglobin is commonly used to check the amount of glucose (sugar) bound to the hemoglobin in the red blood cells. For CVD patients, the most common predictors inlcude eosinophil count (indicative of blood diseases), gamma-glutamyl transferase (GGT), glycohemoglobin, overall oral health, and hand stiffness.Conclusion. Balancing the dataset and deleting NaN values improved the performance of the developed models. The RFC and XGBoost models achieved higher accuracy using gradient descending order to minimize the loss function. The final prediction is made using a weighted majority vote of all the decisions. The result was an automated system for predicting CVD risk in diabetic patients.
Mathematical Model of an Antenna-Waveguide Path with Separation of Signals by Frequency–Polarization
Authors: Gabriel’ean D. D. , Korovkin A. E. , Boychuk S. I. , Dvornikov S. V. , Bibarsov M. R. , Bibarsova G. Sh. 
Published: October 2022

Introduction. The creation of antenna-waveguide paths of multi-band mirror antennas (AWP MMA) is a significant task in the development of antenna-feeder devices for satellite communication systems (SSS). This task involves the construction of an adequate mathematical model of AWP MMA both without and with the implementation of an auto-tracking function built using the "frequency separation – polarization separation" method. However, the existing mathematical models have been developed only for specific AWP MMA types, thus making them unsuitable for the development of new AWP MMA. The model proposed in this paper can be used for an arbitrary number of combined frequency ranges and types of polarization.Aim. Development of a mathematical model of the AWP MMA of SSS both without and with the implementation of an auto-tracking function built using the "frequency separation – polarization separation" method.Materials and methods. The mathematical model under consideration assumes a description of the AWP MMA using block matrices. Each of these matrices describes the complex amplitudes of signals arising in each of the AWP MMA devices. This, in turn, makes it possible to analyze the influence of the parameters of each device on the characteristics of the AWP MMA of SSS as a whole with an arbitrary number of combined frequency ranges and types of polarization.Results. Two options for the construction of AWP MMA of SSS are proposed. The first option can be used in communication system antennas with software support, while the second option is applicable when a monopulse tracking method is implemented. To construct an AWP MMA model, it is proposed to use a matrix description of the characteristics of AWP MMA devices. This allows the structure of the considered AWP MMA to be varied within a wide range.Conclusion. The developed mathematical model makes it possible to describe the characteristics of each of the devices in the AWP MMA system using a certain multipole. The proposed model provides ample opportunities for controlling, at the stages of development, production and debugging, not only the characteristics of each device in the AWP MMA, but also the transmission coefficient and polarization isolation in each frequency range of the entire AWP MMA. The presented dependencies can be used to assess the relationship between parameter tolerances and the limits of changes in the characteristics of the motor vehicle.
Penerapan Metode Clustering K-Means dan Metode Six Sigma untuk Mengetahui Tingkat Minat Baca Mahasiswa (Studi Kasus : STMIK â€“ AMIK Riau)
Authors: Agustin Wirta 
Published: October 2022

Mahasiswa merupakan orang yang belajar di perguruan tinggi, baik di universitas, institut atau akademi. Mahasiswa sebagai penerus generasi bangsa dan sumber daya manusia Indonesia sangat dibutuhkan ide dan pendapatnya untuk membangun dan melakukan perubahan pada negeri ini. Mahasiswa harus bisa berpartisipasi dan mengembangkan ilmunya ke masyarakat dan lingkungannya. Mahasiswa juga diharapkan sebagai pencetus ide sekaligus eksekutor dari idenya, yang kemudian akan berpengaruh pada perubahan budaya, keadaan, atau sistem. Kualitas mahasiswa ini sangat terkait dengan minat baca yang dimilikinya. Selama ini STMIK-AMIK Riau belum memiliki sebuah metode yang dapat digunakan untuk mengetahui tingkat minat baca mahasiswa, sehingga tidak dapat diketahui bagaimana tingkat minat baca mahasiswa. Penelitian ini akan menggabungkan dua metode yaitu metode Clustering K-Means yangÂ digunakan untuk mengelompokkan data-data dan metode Six Sigma (6Ïƒ) yangÂ digunakan untuk melakukan analisis data dari hasil pengelompokan data dengan metode Clustering K-Means, sehingga dapat mengetahui tingkat minat baca pada mahasiswa dan upaya yang harus dilakukan untuk meningkatkan prestasi mahasiswa dan pemanfaatan perpustakaan kampus lebih optimal
Strategi Keuangan Menggunakan Metode Monte Carlo ( Studi Kasus Yayasan Komputasi Riau )
Authors: - Hamdani 
Published: October 2022

Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK RIAU) dan Akademi Manajemen Informatika Komputer (AMIK RIAU) adalah Perguruan Tinggi Komputer pertama di Riau. Perguruan Tinggi ini di bina oleh Yayasan Komputasi Riau. Dalam menjalankan operasional dari pengaturan keuangan Yayasan Komputasi Riau (YKR)Â belum menggunakan metode monte carlo. Simulasi monte carlo dikenal juga dengan istilah sampling simulation. Sampling simulation ini menggambarkan kemungkinan penggunaan data sampel yang sudah diketahui atau diperkirakan distribusinya. Simulasi monte carlo mengikut sertakan random dan sampling dengan distribusi probabilitas yang dapatÂ diketahui dan ditentukan. Dalam keuangan, Monte Carlo metode yang digunakan untuk mensimulasikan berbagai sumber ketidak pastian yang mempengaruhi nilai instrumen, portofolio atau investasi tersebut, dan kemudian menghitung wakil nilai yang diberikan nilai-nilai yang mungkin dari input yang mendasari. Dengan ada simulasi Monte Carlo ini Yayasan Komputasi Riau dapat optimalkan antara pendapatan dan pengeluaran, sehingga tidak terjadi minus anggaran di setiap item yang telah direncanakanÂ atau yang telahÂ dianggarkan pada saat sebelumnya
Sistem Informasi Administrasi Kemahasiswaan pada STMIK-AMIK Riau
Authors: - Rahmiati , - Torkis Nasution 
Published: October 2022

Dalam Penyelenggaraan Perguruan Tinggi, porsi layanan terhadap mahasiswa sangat dominan dan menentukan. Wujud formal hubungan antara mahasiswa dan perguruan tinggi terlihat dalam layan administrasi kemahasiswaan. STMIK-AMIK Riau yang menaungi dua program studi, layanan administrasi kemahasiswaan sampai saat ini barulah pada sistem keuangan dan nilai mahasiswa yang berjalan secara optimal. Sementara itu layan administrasi surat menyurat mahasiswa belum ada aplikasi khusus yang digunakan. Permasalahan yang diutarakan diperlukan usaha untuk mengatasinya melalui pendekatan penerapan teknologi informasi. Untuk meningkatkan layanan yang baik terhadap mahasiswa, diperlukan suatu sistem yang berbasis komputer untuk mengatasi hal tersebut, informasi pengolah data proses pembuatan surat menyurat yang tertata dengan baikÂ Tahapan penelitian dimulai dengan tahap analisa, perancangan sistem, konstruksi aplikasi dan implementasi sistem. Sistem yang dibuat dapat membantu BAAK dalam meningkatkan pelayanan administrasi surat menyurat yang lebih baik dan lebih cepat, sehingga mahasiswa dapat menerima pelayanan yang lebih baik
Analisis dan Perancangan Sistem Informasi Pembelian dan Penjualan Mesin Fotokopi Pada CV. Jaya Mitra Abadi Dengan Metode PIECES
Authors: - Zulhendri , - Karpen 
Published: October 2022

CV. Jaya Mitra Abadi adalah perusahaan yang bergerak di bidang penjualan mesin fotokopi dan importir resmi mesin fotokopi. Kendala Â yang dihadapi selama ini adalah pengolahan data yang masih dilakukan secara manual. Penanganan transaksi pembelian dan penjualan dilakukan dengan mencatat data transaksi pada sebuah buku besar dan pemanfaatan komputer masih sebatas penggunaan aplikasi Microsoft Office. Berdasarkan hal tersebut maka penelitian ini dilakukan dengan tujuan untuk menganalisa dan merancang suatu sistem informasi pembelian dan penjualan yang dapat menunjang kinerja dalam pengolahan data, penyajian informasi, serta mengurangi kendala-kendala yang muncul pada kegiatan pembelian dan penjualan mesin fotokopi. Metode yang digunakan dalam menganalisa sistem adalah metode PIECES (Performance, Information, Economy, Control, Efficiency, Service). Dengan metode ini, sistem dianalisa dari segi kinerja (performance), informasi (information), ekonomis (economy), pengendalian (control), efisiensi (efficiency) dan pelayanan (service). Sistem yang dihasilkan diharapkan dapat membantu penyajian berbagai laporan dengan cepat karena memiliki penyimpanan data yang terintegrasi (sudah adanya database yang dibuat khusus) sehingga dapat menambah, menghapus, mengedit serta mengambil data yang diperlukan.
TIPOLOGI SINTAKSIS BAHASA SABU
Authors: Kale Maneie Bangngu 
Published: October 2022

Penelitian ini adalah penelitaian deskriptiv yang dilakakn dengan maksud untuk mencari tahu tata urutan kata dalam klausa verbal Bahasa Sabu. Teory yang digunakan adalah Peneliti menggunakan dua teori dalam penelitian ini yakni teori Lexical-Functional Grammar (LFG) atau dalam bahasa Indonesia dikenal dengan Tata Bahasa Leksikal-Fungsional (TLF) sebagai teori formal dan teori tipologi. Pada Bahasa Sabu (BS) ditemukan struktur dasar klausa intransitif yakni klausa yang hanya memiliki satu argumen inti yaitu SUBJ dengan pola tata urut kata VS dengan alternasi struktur yaitu SV; klausa verbal monotransitif yakni klausa dengan predikat verba yang dapat mengikat dua argumen inti, yang secara sintaktis dapat mengisi fungsi gramatikal SUBJ dan OBJ dengan pola VSO, dengan kecendrungan alternasi struktur SVO; dan klausa verbal dwitransitif yaitu klausa yang verbanya menuntut dua argumen inti yang secara sintaksis berfungsi sebagai SUBJ, OBJ1, dan OBJ2. Klausa dwitransitif adalah klausa yang meminta kehadiran tiga argumen inti.
The impact of coronary microvascular dysfunction on the discordance between fractional flow reserve and resting full-cycle ratio in patients with chronic coronary syndromes
Authors: Legutko Jacek , Niewiara Lukasz , Guzik Bartlomiej , Szolc Piotr , Podolec Jakub , Nosal Marcin , Diachyshyn Marta , Zmudka Krzysztof , Kleczynski Paweł 
Published: October 2022

BackgroundResting full-cycle ratio (RFR) is an alternative to fractional flow reserve (FFR) for the evaluation of borderline coronary artery lesions. Although FFR and RFR results are discordant in some cases, factors associated with the discordance remain unclear. The role of coronary microvascular dysfunction (CMD) is discussed as a potential mechanism to explain these discrepancies.AimThe study aimed to assess concordance between RFR and FFR in a real-life cohort from a high-volume center regarding the role of CMD.MethodsConsecutive patients with borderline coronary lesions undergoing coronary functional testing for chronic coronary syndromes were included in the study. Measurements of RFR and FFR were performed alongside additional coronary flow reserve (CFR), resistance reserve ratio (RRR), and an index of microcirculatory resistance (IMR) measurements. CMD was defined according to the current guideline by either IMR ≥25 or CFR ≤2.0 in vessels with no significant stenosis.ResultsMeasurements were performed in 157 coronary arteries, in 101 patients, with a median age of 66 y., 74% male, with prior history of arterial hypertension (96%), dyslipidaemia (91%), and diabetes (40%). The median value of vessel diameter stenosis was 45% according to QCA.Overall, FFR and RFR values were significantly correlated (r = 0.66, p &lt; 0.001), where positive FFR/negative RFR and negative FFR/positive RFR were observed in 6 (3.8%) and 38 (24.2%) of 157 vessels. The RFR/FFR discrepancy was present in 44 (28%) of measurements. CMD was confirmed in 28 (64%) of vessels with discrepant RFR/FFR and in 46 (41%) of vessels with concordant results (p = 0.01). In discordant RFR/FFR vessels, as compared to concordant ones, significantly lower values of CFR [median 1.95 (IQR: 1.37, 2.30) vs. 2.10 (IQR: 1.50, 3.00), p = 0.030] and RRR [median 2.50 (IQR: 1.60, 3.10) vs. 2.90 IQR (1.90, 3.90), p = 0.048] were observed.Main predictors of RFR/FFR discrepancy in a univariate regression analysis were: higher age of patients [OR = 1.06 (1.01; 1.10), p = 0.010], presence of CMD [OR = 2.51 (1.23; 5.25), p = 0.012], lower CFR [OR = 1.64 (1.12; 2.56), p = 0.018], and lower RRR values [OR = 1.35 (95% CI: 1.03; 1.83), p = 0.038].ConclusionIn discrepant RFR/FFR vessels, CMD is more prevalent than in concordant RFR/FFR measurements, which can be driven by lower CFR or RRR values. Further research is needed to confirm this observation.