bluuebunny/crossref_metadata_2025 huggingface dataset:
Hydrochemical features of the Tuzlov River as an indicator of the consequences of industrial and agricultural activities in Eastern Donbass (Rostov-on-Don Region, Russia)
Authors: Sazonov A. D. , Zakrutkin V. E.
Published: July 2024

The spatial and temporal variability of solute transport, chemical composition and water quality in the Tuzlov River basin for the period 2003–2019 has been considered. The purpose of this study was to consider the Tuzlov basin as an indicator of the consequences of economic activity in the territory of Eastern Donbass. The results obtained on the transport of dissolved substances in the upper part of the basin showed an increase in the transport of major ions, on the contrary, a decreasing trend in the transport of copper, zinc and phosphorus phosphate compounds. Further, the variability of water chemistry in the middle section of the basin, as well as at the observation sites above and below Novocherkassk was considered. In the middle reaches, the increase in the content of major ions continued, and a sharp increase in the concentration of phosphorus phosphate was recorded. The tendency to reduction of copper and zinc compounds remained the same. Below Novocherkassk — at the closing site of hydrochemical observations — the content of phosphorus phosphates, copper and zinc compounds increased to the greatest extent. Water quality during the period under consideration remained at the level of class 4 (“dirty”), its spatial and temporal variability was insignificant. Based on the results obtained, conclusions were made about the leading role of the consequences of coal mining in the increase in the content of major ions (primarily due to sulfate ions) and total iron compounds in water. At the same time, agricultural activities in the catchment lead to a decrease in the content of copper, zinc and phosphorus phosphate compounds in water. However, at the most urbanized Tuzlov River site in the city of Novocherkassk, the content of these components in water increased significantly. The results of the study may be useful in planning conservation measures in the studied area.
Estimative engineering geological zoning for allocation of municipal solid waste landfills (by the example of Vladimir Region, Russia)
Authors: Osipov V. I. , Eremina O. N. , Kozliakova I. V. , Mamaev Yu. A. , Kozhevnikova I. A. , Anisimova N. G.
Published: July 2024

The paper describes the scientific and methodological fundamentals for the assessment of engineering geological conditions at platform areas for selection of environmentally friendly sites for allocating municipal solid waste landfills. By the example of Central Federal region of Russia and its part, Vladimir area, the algorithm of assessing the geoenvironment suitability is shown proceeding from the comprehensive consideration of geological structure, lithology of ground massifs, hydrogeology, and geohazards. The typological zoning of geoenvironment is performed in three stages: the first stage includes the small-scale zoning for the preliminary estimation of ground conditions of large regions at the federal level; the second stage comprises the medium-scale zoning for the comprehensive assessment of the territory according to the complex of natural conditions in order to distinguish favorable areas at a regional level; the third stage stands for the large-scale zoning for outlining and comparison of particular plots for MSW disposal proceeding from the score assessment of factors. For each distinguished type of ground conditions, the additional eningeering protective measures for landfill arrangement are assigned.
Assessment of the combinational ability of inbred winter rye lines in plant height
Authors: Goncharenko A. A. , Makarov A. V. , Semenova T. V. , Tochilin V. N. , Clochko N. A. , Tsygankova N. V. , Goncharenko M. S. , Plotnikov P. A.
Published: July 2024

The aim of the research is to evaluate the general and specific combinational ability of inbred winter rye lines in plant height and identify relatively short-stemmed combinations. The starting material for the crossing was 22 homozygous rye lines carrying sterile cytoplasm of the Pampa type. The male fertile homozygous lines mf H-1423, mf H-1247, m fH-732 and mf H-842 were used as testers, in which the plant height was 122 cm, 120 cm, 102 cm and 100 cm, respectively. Test crosses were carried out in isolated plots according to the topcross scheme. A total of 88 simple F1 hybrids were produced. They were tested on plots of 8.0 m2 in 3 repetitions. The average height of plants in F1 hybrids was 129 cm and ranged from 114 cm to 145 cm. The hybrids with the participation of the mf H-732 and mf H-842 tester turned out to be the shortest-stemmed, and the tallest ones with the participation of the mf H-1423 tester. Both general (GCA) and specific (SCA) combinational abilities made a significant contribution to the variance of the plant height trait. The genotypes ms H-422 and ms H-1179 had a significantly higher GCA compared to other lines, and ms H-700 and ms H-1058 had a lower one. Among the testers, the high-stemmed mf H-1423 and mf H-1247 lines had a reliably high GCA, and the short-stemmed mf H-732 and mf H-842 testers had a reliably low GCA. Combinations involving short-stemmed testers made up a group of the shortest-stemmed hybrids, in which plant height varied from 114 to 120 cm. It is shown that lines with low effects are of great value for practical breeding not only for GCA, but also for SCA. The ms H-700 line is of interest, which simultaneously combines low grades in GCA and SCA.
Secondary metabolites of soybean seeds variety locus and their spatial arrangement, represented by laser microscopy
Authors: Razgonova M. P. , Cherevach E. I. , Butovets E. S. , Lukyanchuk L. M. , Vasina E. A. , Shepel O. L. , Golokhvast K. S.
Published: July 2024

The purpose of this study is a detailed metabolomic analysis using tandem mass spectrometry of the soybean variety Locus, selected from the collection of the Federal Scientific Center for Agrobiotechnologies of the Far East named after A. K. Chaika», to identify both the polyphenolic composition of seeds and the determination of other chemical groups in the composition of the seed. Tandem mass spectrometry studies were further supported by visual data obtained for the first time using laser microscopy. The object of the study is the seeds of the soybean variety Locus, grown in 2022 at the field site of the soybean breeding laboratory of the Federal Scientific Center for Agrobiotechnologies of the Far East named after A. K. Chaika», located in the village of Timiryazevsky (near the city of Ussuriysk). Experiments were carried out on a CLSM-800 laser confocal microscope and mass spectrometry of biologically active substances on an amaZon SL ion trap. Laser microscopy made it possible to clarify in detail the spatial distribution of the content of phenolic acids, flavonols and anthocyanins in soybean seeds. The studies were able to convincingly show that soybean polyphenolic substances and, in particular, anthocyanins are spatially localized mainly in the soybean seed coat. High-performance liquid chromatography coupled with ion trap (tandem mass spectrometry) was used to identify target analytes in soybean seed extracts. Using tandem mass spectrometry, the presence of 59 compounds was identified, of which 35 compounds represent the group of polyphenolic compounds. 15 compounds were identified for the first time in soybean extracts of the Locus variety. These are flavones: apigenin, acacetin, cirsimaritin; tetrahydroxyflavone aromadendrin 7-O-rhamnoside; lignan medioresinol; coumarin tomentin and other polyphenolic compounds. The data obtained will help intensify future research on the development and production of new drugs, dietary supplements, food additives and various functional and specialized products containing targeted soybean extracts.
PENGELOLAAN PERBAIKAN BERKELANJUTAN INVENTARIS UNTUK REDUCE COST DI PT XYZ KOTA BANDUNG, INDONESIA
Authors: Pratiwi Dian Mega , Dora Yenny Maya
Published: July 2024

Tujuan dari penelitian ini adalah untuk mempelajari masalah yang terkait dengan kelebihan persediaan garmen pada unit perlengkapan tekstil, serta masalah waktu pemesanan yang dibutuhkan oleh perusahaan untuk mencegah kelebihan barang di gudang. Untuk menghitung stock garmen, model inventaris klasifikasi ABC dan kebijakan pemantauan berkelanjutan digunakan untuk membandingkan nilai aktual dan tingkat inventaris rata-rata ideal (AIL). Klasifikasi analisis Activity Based Costing (ABC) juga membantu perusahaan menemukan barang yang layak untuk dikurangi dari persediaan sehingga dapat melakukan reduce cost. Dengan menerapkan kebijakan peninjauan berkelanjutan di dalam sistem perhitungan pengendalian persediaan garmen, maka suatu perusahaan dapat mengurangi tingkat kelebihan persediaan yang dalam ini sebesar Rp 12.979 milliar atau (8,51%), angka tersebut cukup besar sehingga menurut analisis tingkat persediaan berlebih perlu peninjauan berkelanjutan sebagai dasar sistem perhitungan pengendalian persediaan.
ANALISIS STRATEGI BERSAING HOTEL HARIS DALAM MENINGKATKAN PRODUKTIVITAS INDUSTRI PERHOTELAN DI KOTA SEMARANG
Authors: Laia Iwan Hendra , Maria TH Aletta Dewi
Published: July 2024

Industri perhotelan di Kota Semarang terus berkembang pesat, menciptakan kebutuhan akan strategi bersaing yang lebih inovatif untuk mempertahankan daya saingnya. Penelitian ini difokuskan pada analisis dampak konkret dari strategi bersaing yang diterapkan oleh Hotel Haris terhadap produktivitas keseluruhan industri perhotelan di Semarang. Metode kualitatif digunakan dengan menggabungkan wawancara mendalam dengan manajemen, staf, dan tamu hotel, serta analisis dokumen yang relevan.
Hasil penelitian menunjukkan bahwa strategi diferensiasi Hotel Haris, pemasaran digital yang terarah, dan kemitraan strategis telah memberikan kontribusi yang nyata. Peningkatan reservasi yang signifikan, visibilitas yang lebih baik di media sosial, dan tingkat kepuasan tamu yang meningkat adalah bukti langsung dari keberhasilan strategi ini. Ini tidak hanya menguntungkan Hotel Haris secara langsung tetapi juga memberikan dampak positif bagi produktivitas dan reputasi industri perhotelan di kota ini secara keseluruhan.
Dengan demikian, strategi bersaing yang diterapkan oleh Hotel Haris telah membuka peluang baru dan memberikan manfaat yang signifikan bagi industri perhotelan Kota Semarang, memperkuat posisinya sebagai destinasi unggulan dalam industri perhotelan di wilayah tersebut.
PENGARUH MEDIASI KINERJA KEUANGAN ANTARA PEMANFAATAN ASET DAN PROFIT MARGIN TERHADAP NILAI PASAR PERUSAHAAN DI INDONESIA
Authors: Jamaludin Jamaludin , Leon Farah Margaretha , Chandra Kristian
Published: July 2024

Penelitian ini bertujuan untuk menganalisis pengaruh mediasi Kinerja Keuangan  antara Pemanfaatan Aset dan Marjin Keuntungan dengan Nilai Pasar Perusahaan. Data yang digunakan dalam penelitian ini merupakan data sekunder yang bersumber dari laporan tahunan perusahaan berbagai sektor yang tercatat di Bursa Efek Indonesia  dan pernah masuk ke dalam daftar index lq-45 selama periode 2018 - 2022. Sampel penelitian dipilih menggunakan metode purposive sampling sehingga diperoleh 49 perusahaan yang masuk kriteria untuk menjadi sampel. Analisis data yang digunakan untuk uji hipotesis yaitu analisis regresi berganda dengan menggunakan program Eviews.
Hasil penelitian menunjukkan bahwa variabel Pemanfaatan aset dan variabel marjin keuntungan sebagai variabel independen memiliki pengaruh positif dan signifikan terhadap Nilai Pasar Perusahaan sebagai variabel dependennya. Selain itu, variabel Kinerja Keuangan terbukti dapat memediasi dengan arah hubungan positif antara pemanfaatan aset dan nilai pasar perusahaan. Hasil penelitian ini memberikan pandangan bahwa dengan pemanfaatan aset perusahaan yang efektif dan efisien akan meningkatkan kinerja keuangan perusahaan yang pada akhirnya dapat meningkatkan pula nilai perusahaan di pasar. Selain itu, konsistensi pencapaian marjin keuntungan dalam trend positif, secara nyata juga dapat meningkatkan nilai perusahaan, yang dibuktikan dengan peningkatan keuntungan dari pendapatan perusahaan. Dengan meningkatnya nilai perusahaan, tentu akan menarik bagi investor untuk melakukan penanaman modalnya di perusahaan.
Pengaruh Ukuran Perusahaan Dan Kinerja Lingkungan Terhadap Nilai Perusahaan Dengan Pengungkapan CSR Sebagai Variabel Moderasi Pada Perusahaan Manufaktur Sektor Makanan Dan Minuman Yang Terdaftar Di BEI
Authors: Tatik Amani  , Vindy Abdatul ‘Asyiiroh  , Vidiyastutik Elok Dwi
Published: July 2024

Dalam dunia perbankan masih dalam kondisi persaingan yang ketat sehingga membuat perusahaan harus efektif dan efisien untuk menjalankan usahanya. Adanya pengendalian internal diharapkan kegiatan operasional dalam perusahaan sesuai dengan tujuan perusahaan. Dari sisi keuangan perusahaan juga harus dipantau lagi agar tidak terjadi penyelewengan, kecurangan, pemborosan, dan pencurian. Tujuan dari penulisan artikel ini adalah untuk mengevaluasi pengendalian internal sistem informasi akuntansi penerimaan kas pada BTPN KCP Probolinggo. Jenis penilitian ini adalah kualitatif deskriptif. Metode pengumpulan data yang digunakan yaitu berupa wawancara, observasi, dan studi dokumen. Hasil penelitian ini adalah pengendalian internal sistem informasi akuntansi penerimaan kas pada BTPN KCP Probolinggo telah sesuai dengan lima komponen yang terdapat dalam sistem pengendalian internal penerimaan kas. Hal tersebut ditunjukkan dengan adanya pemisahaan tugas, tanggung jawab, dan batasan wewenang yang jelas disetiap unit kerja pada BTPN KCP Probolinggo serta terdapat pemeriksaan internal yang dilakukan 3 bulan sekali oleh auditor internal perusahaan.
Kebutuhan akan Kognisi dan Efikasi Diri Matematis terhadap Kecenderungan Berpikir Reflektif
Authors: Dwiyanti Widya , Sholihat M. Nuur’aini
Published: July 2024

Penelitian ini bertujuan untuk mengeksplorasi pengaruh kebutuhan akan kognisi dan efikasi diri matematis, baik secara parsial maupun simultan, terhadap kecenderungan berpikir reflektif. Dilakukan pada 74 responden mahasiswa program studi Teknik Informatika Universitas Sebelas April. Penelitian ini menggunakan metode deskriptif dengan pendekatan kuantitatif melalui teknik korelasional dan regresi. Temuan menunjukkan bahwa terdapat pengaruh signifikan dari kebutuhan akan kognisi dan efikasi diri matematis, baik secara parsial maupun simultan, terhadap kecenderungan berpikir reflektif. Hasil ini menekankan pentingnya integrasi aspek kebutuhan akan kognitif dan efikasi diri matematis dalam pengajaran matematika untuk membentuk kecenderungan berpikir reflektif.
This research aims to explore the influence of the need for cognition and mathematical self-efficacy, both partially and simultaneously, on the tendency to think reflectively. Conducted on 74 respondents from the Informatics Engineering study program at Sebelas April University. This research uses a descriptive method with a quantitative approach through correlational and regression techniques. The findings show that there is a significant influence of the need for cognition and mathematical self-efficacy, both partially and simultaneously, on the tendency to think reflectively. These results emphasize the importance of integrating aspects of cognitive need and mathematical self-efficacy in mathematics teaching to form reflective thinking tendencies.
Content Material of Vector Space for Development of Elementary Linear Algebra Module Integrated to Prezi
Authors: Siahaan Meiva Marthaulina Lestari , Fitriani
Published: July 2024

Penelitian bertujuan untuk menganalisis materi muatan vektor yang kemudian digunakan untuk mengembangkan bahan ajar mata kuliah aljabar linier dasar materi muatan ruang vektor sehingga menghasilkan bahan ajar materi ruang vektor yang valid, praktis dan efektif. Metode penelitian yang digunakan adalah penelitian pengembangan Alessi dan Trollip dengan tiga tahap; perencanaan, desain dan pengembangan. Hasil penelitian ini adalah materi ruang vektor yang digunakan untuk mengembangkan bahan ajar adalah vektor pada R2, R3, dan Rn, persamaan parameter garis dan bidang, perkalian titik dan perkalian silang, serta persamaan koordinat garis dan bidang pada R3. Penilaian modul dari kedua ahli materi sebesar 3,33 artinya sangat layak, sedangkan dari kedua ahli media sebesar 3,9625 dengan kriteria sangat layak. Keunggulan produk ini adalah pertama, komposisi materi disusun berdasarkan analisis mendalam terhadap buku teks yang digunakan, sumber relevan, dan hasil ujian siswa masing-masing 3 tahun sebelumnya. Kedua, untuk memudahkan siswa dalam memahami materi ruang vektor karena disajikan gambar-gambar yang relevan dengan penjelasan dalam modul. Ketiga, materi dalam modul disajikan dengan media Prezi terintegrasi berupa PowerPoint sehingga dapat menarik perhatian siswa dan membuat siswa fokus pada materi.
The research has purpose to analyze vector content material which is then used to develop teaching materials for elementary linear algebra courses on vector space content material so as to produce teaching materials on vector space material that are valid, practical and effective. The research method used is Alessi and Trollip development research with three stages; planning, design and development. The results of this research are the vector space materials used for developing teaching materials are vectors in R2, R3, and Rn, line and plane parameter equations, dot products and cross products, yet line and plane coordinate equations in R3. The module assessment from the two material experts was 3.33, which means very feasible, while from the two media experts it was 3.9625 with very feasible criteria. The benefits of this product are first, the composition of the material is prepared based on in-depth analysis of the textbooks used, relevant sources, and student test results in the previous 3 years respectively. Second, to make it easier for students to understand vector space material because images are presented that are relevant to the explanation in the module. Third, the material in the module is presented with integrated Prezi media in the form of PowerPoint so that it can attract students' attention and make students focus on the material.
Problem Based Learning Berbantuan Geogebra untuk Meningkatkan Hasil Belajar Geometri Analitik
Authors: Suwanto Fevi Rahmawati , Hasratuddin  , Fauzi Kms. Muhammad Amin , Napitupulu E. Elvis
Published: July 2024

Geometri Analitik sebagai salah satu mata kuliah wajib program studi Pendidikan Matematika. Penelitian tindakan kelas yang dilaksanakan selama dua siklus ini bertujuan untuk memperbaiki proses dan hasil belajar Geometri Analitik mahasiswa program studi Pendidikan Matematika Universitas Negeri Medan. Penelitian melibatkan 36 mahasiswa yang dilaksanakan pada semester ganjil tahun akademik 2023/2024. Data penelitian diperoleh melalui tes hasil belajar Geometri Analitik dan pengamatan langsung berupa catatan lapangan. Hasil penelitian menunjukkan bahwa pembelajaran yang dilakukan dengan menerapkan Problem Based Learning berbantuan GeoGebra dapat memperbaiki proses dan hasil belajar Geometri Analitik mahasiswa program studi Pendidikan Matematika Universitas Negeri Medan.
Analytical Geometry is one of the mandatory subjects in the Mathematics Education study program. Classroom action research carried out over two cycles aims to improve the Analytical Geometry learning process and outcomes of students in the Mathematics Education study program at Medan State University. The research involved 36 students which was carried out in the odd semester of the 2023/2024 academic year. Research data was obtained through Analytical Geometry learning results tests and direct observations in the form of field notes. The results of the research show that learning carried out by applying Problem-Based Learning with the help of GeoGebra can improve the Analytical Geometry learning process and outcomes of students in the Mathematics Education study program at Medan State University.
Pengembangan Lembar Kerja Siswa Berbasis Model Cooperative Script terhadap Kemampuan Pemahaman Konsep Matematis
Authors: Nasution Eline Yanty Putri , Erita Selvia , Mandalena Henil
Published: July 2024

Penelitian ini bertujuan untuk menghasilkan LKS berbasis Model Pembelajaran Cooperative Script yang valid, praktis, dan efektif terhadap kemampuan pemahaman konsep matematis siswa pada materi SPLDV. Penelitian ini menggunakan model ADDIE. Penelitian dilaksanakan di SMP Negeri 10 Kerinci. Instrumen menggunakan angket dan tes kemampuan pemahaman konsep matematis. LKS berbasis Model Pembelajaran Cooperative Script dari ahli media dinyatakan valid dengan tingkat persentase 75,33% dan dari ahli materi dinyatakan sangat valid dengan tingkat persentase 89%, LKS dinyatakan sangat praktis dengan tingkat persentase 87,90%, dan LKS dinyatakan efektif dengan perolehan nilai rata-rata 82,81%. Ini menunjukkan bahwa LKS tersebut telah valid, praktis, dan efektif.
This research aims to produce worksheets based on the Cooperative Script Learning Model that are valid, practical, and effective on students' ability to understand mathematical concepts in SPLDV material. This research uses the ADDIE model. The research was carried out at SMP Negeri 10 Kerinci. The instrument uses a questionnaire and tests the ability to understand mathematical concepts. The LKS based on the Cooperative Script Learning Model from media experts was declared valid with a percentage level of 75.33% and from material experts it was declared very valid with a percentage level of 89%, the LKS was declared very practical with a percentage level of 87.90%, and the LKS was declared effective with a score obtained. average 82.81%. This shows that the worksheet is valid, practical, and effective.
Wykluczenie bonum coniugum w doktrynie i orzecznictwie Roty Rzymskiej
Authors: Góralski Wojciech
Published: July 2024

Wprowadzenie w kan. 1055 § 1 Kodeksu Prawa Kanonicznego z 1983 r. wzmianki o ukierunkowaniu małżeństwa ku dobru małżonków stanowi uwieńczenie długiego procesu, w którym znaczącą rolę odegrał Sobór Watykański II, przede wszystkim konstytucja duszpasterska Gaudium et spes. W dokumencie tym podkreślono, że małżeństwo skierowane jest ku bonum coniugum ze swojej natury, a więc z zamysłu Stwórcy wobec owej wspólnoty życia i miłości mężczyzny i kobiety. Pozwoliło to przyjąć, że istotą tego dobra jest wzajemne obdarowanie się sobą przez małżonków. W odkryciu tym nie bez znaczenia pozostaje również wkład doktryny i orzecznictwa Roty Rzymskiej, gdzie dostrzeżono, iż jednym z istotnych elementów instytucji małżeństwa (zawartym w pojęciu ius ad commmunionem vitae) jest skierowanie tego związku ku dobru małżonków.
Treść prawną pojęcia bonum coniugum należy upatrywać w tym, co Bóg zamierzył w stosunku do mężczyzny i kobiety związanych małżeństwem. Przedmiotem wykluczenia dobra małżonków jest skierowanie małżeństwa ku temu dobru.
Wykluczenie pozytywnym aktem woli bonum coniugum in principio suo (jako istotnego elementu małżeństwa) skutkuje nieważnością tego związku (kan. 1101 § 2).
W dowodzeniu wykluczenia dobra małżonków (in principio suo) stosuje się trzy „klasyczne” dowody, jak w stosunku do każdej formy symulacji.
Machine Learning in Electronic Health Records: Identifying High-Risk Obstetric Patients Pre and During Labor
Authors: Lipschuetz Michal , Guedalia Joshua , Cohen Sarah M. , Unger Ron , Yagel Simcha , Sompolinsky Yishai
Published: July 2024

Our goal is to apply artificial intelligence (AI) and statistical analysis to understand the relationship between various factors and outcomes during pregnancy and labor and delivery, in order to personalize birth management and reduce complications for both mothers and newborns. We use a structured electronic health records database with data from approximately 130,000 births to train, test and validate our models. We apply machine learning (ML) methods to predict various obstetrical outcomes before and during labor, with the aim of improving patient care management in the delivery ward. Using a large cohort of data (∼180 million data points), we then demonstrated that ML models can predict successful vaginal delivery, in the general population as well as a sub-cohort of women attempting trial of labor after a cesarean delivery. The real-time dynamic model showed increasing rates of accuracy as the delivery process progressed and more data became available for analysis. Additionally, we developed a cross-facilities application of an AI model that predicts the need for an unplanned cesarean delivery, illuminating the challenges associated with inter-facility variation in reporting practices. Overall, these studies combine novel technologies with currently available data to predict and assist safe deliveries for mothers and babies, both locally and globally.
Barriers and Enablers of Nurses’ Adoption of Digital Health Technology to Facilitate Healthcare Delivery in Resource-Limited Settings
Authors: Bimerew Million
Published: July 2024

The study investigated barriers and enablers of nurse’s adoption of digital health technology to facilitate the delivery of healthcare in resource-limited settings. Using a self-administered questionnaire, data were collected from ninety-three nurses. Descriptive statistics were conducted to analyse and summarise the data. The study found that barriers to digital technology use included workload, time constraints, limited access to computers and a lack of skills in searching for information, while positive attitudes and confidence were enabling factors. Providing access to technology and skills training will improve the adoption of technology in healthcare delivery by nurses.
A User-Centered Data Visualization of Atherosclerotic Heart Disease Risk Factors
Authors: Rivas Sandra , Powell-Fontenot Tonita , Adegunlehin Abayomi , Gong Yang
Published: July 2024

High cholesterol levels significantly contribute to the risk of atherosclerotic cardiovascular disease (ACVD), with a notable portion of ischemic heart disease cases linked to elevated cholesterol levels. Effective graphical displays of lipid panel tests and other cardiac risk factors are crucial for quick and accurate data interpretation, enabling early intervention for individuals with hyperlipidemia. Applying design theories such as Gestalt and distributed cognitive theories is essential for creating user-centered graphical data displays in the context of cardiovascular (CV) risk factors. The proposed dashboard informed by these theories is expected to help healthcare providers better address cardiovascular disease (CVD), enhancing diagnosis, treatment, and prevention. Moreover, this approach may help alleviate clinical provider burnout, improve patient outcomes, and reduce provider stress, thus contributing to safer and more effective healthcare systems.
Complexities of a Provincial CIS Implementation: Thinking Beyond Scale
Authors: Kennedy Margaret Ann
Published: July 2024

CIS implementations are complex processes involving numerous teams, planning changes to both business and technical processes, and extensive change management. The complexity of implementation increases exponentially when dealing with implementation across an entire province rather than just a single site implementation. This paper addresses the One Person One Record Program in Nova Scotia, Canada where a single CIS will be implemented across the entire province involving 47 acute care facilities and 1400 individual ambulatory clinics. Developing and delivering localized role-specific training to end users is directly affected by the extensive arrange of unique user roles and is part of the complexity in this transformation program. Challenges arising from the additional complexity will be shared as well as lessons learned to support the implementations of future leaders with plans to lead such transformations in their own regions.
Information in Healthcare – From Data to Knowledge: Improving Data Literacy Competencies
Authors: Egbert Nicole , Haukkakallio Tiina , Hüsers Jens , Phipps Laura , Tietze Mari F. , Vieira-Marques Pedro , Hübner Ursula H.
Published: July 2024

Digitalization in healthcare and the increasing availability of data demand data literacy competences of nurses and other healthcare professionals including technical, ethical and communication skills. The international Spring School 2023 “Information in Healthcare – From Date to Knowledge” aimed at these competences covering interoperability, data protection and security, data analytics and ethical issues. These topics were embedded in the overall case of data-driven quality improvement for diabetes patients in a region. The curriculum includes an online preparation-phase and a five-days attendance week, incorporating problem-based and group work approaches. According to the studentt’s evaluation, the awareness of the importance of the topics was raised and theoretical as well as practical application skills were improved. The Spring School enhanced data literacy competences, critical thinking, problem-solving, interprofessional und intercultural skills among healthcare professionals. Such course offering can contribute to meeting the increasing challenges of digitalization in healthcare.
Evaluating and Incorporating Generative AI in Nursing Informatics and Data Science Graduate Courses
Authors: Reeder Blaine , Lee Knoo
Published: July 2024

The disruptive effect and lasting implications of generative artificial intelligence (“Gen AI”) tools for higher education are yet unknown. ChatGPT 3.5 was released in November 2022 and soon had over 100 million users. This public software release triggered a global Gen AI race among technology industry giants. Educators in higher education were unprepared for this seismic shift. For the Fall 2023 term, we revised two graduate courses in nursing informatics and data science using generative AI to anticipate broad student awareness of these tools. The aim of this report is to present two different examples of course component evaluation using publicly available Gen AI tools to inform course component revisions. This effort was undertaken to “proof” assignments against inappropriate use of Gen AI, revise assignments to incorporate use of Gen AI tools, and inform course policies about appropriate use of Gen AI for course work.
Association Between Visit to Visit Blood Pressure Variability and Cardiovascular Outcome: A Meta-Analysis
Authors: Lukitasari Mifetika , Jonnagaddala Jitendra , Liaw Siaw-Teng , Jalaludin Bin
Published: July 2024

Visit-to-visit (VVV) blood pressure variability (BPV) is associated with cardiovascular disease. However, in practice, BPV at sequential clinic visits is often regarded as mere random fluctuations and frequently under-appreciated by the clinicians. Therefore, this meta-analysis aims to compare the effect size of VVV BPV on cardiovascular outcome, by comparing studies that have used the electronic health record (EHR) and non-EHR data. The pooled hazard ratio for VVV BPV is comparable between studies using EHR and non-EHR data. Studies using EHR reported a pooled hazard ratio (HR) for VVV systolic BPV of 1.22 (95% CI: 1.07-1.38), while non-EHR studies had a HR of 1.16 (95% CI: 1.10-1.22). The pooled HR for VVV diastolic BPV in EHR studies was 1.09 (95% CI: 0.86-1.39), whereas non-EHR studies showed a HR of 1.10 (95% CI: 1.04-1.17). EHR data is a reliable source for assessing BPV, which in turn can predict the CVD outcomes.
Black-White Differences in Chronic Stress Exposures to Predict Preterm Birth: Interpretable, Race/Ethnicity-Specific Machine Learning Models
Authors: Kim Sangmi , Higgins Melinda K. , Brennan Patricia , Slavich George M. , Xiong Li , Hertzberg Vicki , Kelly Ursula , Dunlop Anne L.
Published: July 2024

We developed Multivariate Adaptive Regression Splines (MARS) machine learning models of chronic stressors using the Pregnancy Risk Assessment Monitoring System data (2012-2017) to predict preterm birth (PTB) more accurately and identify chronic stressors driving PTB among non-Hispanic (N-H) Black and N-H White pregnant women in the U.S. We trained the MARS models using 5-fold cross-validation, whose performance was evaluated with AUC. We computed variable importance for PTB prediction. Our models showed high accuracy (AUC: 0.754-0.765). The number of prenatal care visits, premature rupture of membrane, and medical conditions were the most important variables in predicting PTB across the populations. Chronic stressors (e.g., low maternal education and violence) and their correlates were pivotal for PTB prediction only for N-H Black women. Interpretable, race/ethnicity-specific MARS models can predict PTB accurately and explain the most impactful life stressors and their magnitude of effect on PTB risk among N-H Black and N-H White women.
Intersectionality in Developing a Virtual Community of Practice Platform on Abortion
Authors: Abdulai Abdul-Fatawu , Czerniak Efrat , Duong Cam , Mehta Aashay , Chiu Rachel , Stroulia Eleni , Norman Wendy V.
Published: July 2024

Abortion is an essential healthcare service in many countries including Canada. The number of people who seek abortion is disproportionately higher among equity-deserving populations. Yet the knowledge needed to provide evidence-based, culturally safe, and gender-affirming abortion services remain limited among healthcare professionals. Using an intersectional lens, we conducted focus group discussions with 14 healthcare professionals to understand how an abortion web-based platform, which is currently under development, can be adapted to meet the needs of equity deserving populations. The findings revealed the need for multi-lingual resources on abortion, information on funding coverage for undocumented migrants, educational resources on Indigenous cultural safety and gender-affirming practices, and a mapping tool to locate providers or pharmacists. Beyond presenting clinical guidelines on web platforms, this study revealed important considerations for the design of web platforms that can help advance access to abortion for equity-deserving populations.
Effectiveness of Online Mindfulness Platform in Improving Anxiety, Depression, and Stress in Adults During the COVID-19 Pandemic: A Randomized Control Trial
Authors: Lee Tso-Ying , Hsieh Cha-Jung , Lee Pi-Hsia
Published: July 2024

COVID-19 epidemic bring a great threat to human physical and mental health. This study aimed to investigate the effectiveness of an online mindfulness platform in improving mental status. Patients from a regional hospital were randomly divided into the experimental and control groups. The experimental group received online mindfulness interventions, and control group received general health education. There were no significant differences in the stress or depression scores between the two groups (P > 0.05). Intervention group had significantly lower anxiety scores than control group at fourth and eighth weeks (P<0.001). There was no significant difference in the emotion change over time in control group (P > 0.05). The anxiety in the intervention group was significantly improved at the 4th and 8th weeks (P<0.05). Moreover, the stress and depression in the intervention group were significantly improved at the 8th week (P<0.05). Online mindfulness intervention can effectively improve emotional status.
Brazilian-Portuguese Version of My Strengths My Health System: A Methodological Study
Authors: Gonçalves Luciana Schleder , Dipp Helana Martins , da Silva Caroline Santos , Picanço Gabrielle Stella
Published: July 2024

My Strengths My Health (MSMH) is a simplified version of the Omaha System developed for the use of patients and their caregivers. Its main objective is to enable a whole-person assessment with the participation of the patients in understanding the concepts that comprise their care plan. Since 2021, we joined a worldwide initiative to translate MSMH to other languages and this paper reports the Brazilian experience in 3 stages, developed from January 2022 to December 2023: translation and back translation of terms, its validation by freshman nursing students and its adoption by patients at an outpatient facility. Among the results, we highlight the patients’ comments on the perceived ease of use of the system. MSMH adoption by caregivers and populations of different cultures and languages can amplify the comprehension of biological, psychological, social, spiritual and environmental determinants of health worldwide specially if issues on digital health literacy are considered.
Dissemination of Strategies for Reducing Excessive Documentation Burden: 25x5 Task Force Activities Relevant to Nursing
Authors: Rossetti Sarah , Withall Jennifer , Kendle Kathleen , Corley Sarah , Mishuris Rebecca G. , Aboagyewah Mayfair Afiah , Abdul Shawna , Rosenbloom S. Trent , Tiase Victoria , Sloss Elizabeth
Published: July 2024

Burnout and workforce shortages are having a negative impact on nurses globally, particularly after the COVID-19 pandemic. Within the United States, excessive documentation burden (DocBurden) has been linked to nurse burnout. The experience of a system or system-imposed process inhibiting patient care is a core focus area of nursing informatics research. The American Medical Informatics Association (AMIA) 25x5 Task Force to Reduce DocBurden was created in 2022 to decrease U.S. health professionals’ excessive DocBurden to 25% of current state within five years through impactful solutions across health systems that decrease non-value-added documentation, and leverage public/private partnerships and advocacy. This case study will describe the work of the 25x5 Task Force that is relevant to nursing practice. Specifically, we will describe three projects: A) Toolkit for Reducing Excessive DocBurden, B) Development of Pulse Survey for Health Professionals Perceived DocBurden, and C) HIT Roadmap to Promote Interoperability.
A Prospective Observational Study of EHR-Based Versus Virtual Desktop-Based Access to Pediatric Anesthesia Emergency Algorithms
Authors: Marks Allyson M. , Johnson Greg , Gidaro Umberto , Sloberman Larry , Drake Francesca M. , Weintraub Ari Y. , Nelson Olivia , Tran Kha M. , Simpao Allan F.
Published: July 2024

When pediatric anesthesia emergencies occur, situations can deteriorate rapidly. At our hospital, the Society for Pediatric Anesthesia’s (SPA) emergency algorithms are used as cognitive aids during crises, and nurses are tasked with accessing the algorithms. Operating room nurses’ typical workflow includes continuous display of the of the electronic health record (EHR) intraoperative navigator, which can delay navigating to the virtual desktop window and the algorithms’ icon. Thus, we implemented a button in the intraoperative navigator’s toolbar to access the algorithms with one click. We conducted an observational study of the time required to access and display overhead an algorithm using the new button and old method. We surveyed participants on usability.
The Effect of Establishing a Discharge Satisfaction Questionnaire System
Authors: Chen Hsiao-Ning , Chen Hsin-Ling
Published: July 2024

People’s requirements for the quality of medical services have increased. It has become a trend to introduce digital technology into nursing work, which can improve the quality of nursing care, and patient satisfaction at discharge is an important indicator of quality control. In the past, nurses in our unit would distribute paper questionnaires on discharge satisfaction to discharged patients every day and collect and archive the data. They had to work overtime for up to 4.06 hours every month to process 150 questionnaires. This article establishes an electronic discharge satisfaction questionnaire system and puts forward the concept of cloud-based service integration in line with the characteristics of Chinese people. The concept integrates existing software platforms and services and can be reused for other target applications. It can effectively realize the function of rapid management. This convenient model improves the satisfaction of both nurses and patients.
A Survey of Nurse Informatics Competencies of Professional Nurses in Clinical Practice Public Hospitals in South Africa
Authors: le Roux Loretta , Bimerew Million , Chipps Jennifer
Published: July 2024

Competence in Nursing Informatics (NI), is vital for efficient nursing care in today’s technologically-enabled healthcare environment. In South Africa, little is known on the competence of professional nurses in clinical practice in nursing informatics. Methods: This study used a cross-sectional descriptive survey to examine self-rated competence in nursing informatics among 205 nurses in clinical practice across two hospitals in the Western Cape. The TANIC© scale was used to rate the skills of participants in computer literacy, clinical information management, and information literacy. Results: The highest rating was received for computer literacy, approaching a ‘comfortable’ competency level. Lower scores were received for clinical information management and information literacy, indicating ‘novice’ to ‘advanced beginner’ levels. Conclusion: The study showed that practicing nurses have a limited level of nursing informatics competence, especially in the domains of clinical information management and information literacy. These findings support the need for educational programmes to extend beyond basic computer skills and prioritize continuous professional development in nursing informatics.
Enhancing the Autonomy of Establishing Indicator Informatization
Authors: Lai Hsiang-Fen , Liu Ya-Ting
Published: July 2024

Quality indicators are essential for hospital management, clinical decision-making, and patient care. In today’s technologically advanced era, it is increasingly critical to derive effective statistical data analysis from intricate datasets. However, the administrative department within our hospital often fails to prioritize information needs due to limited resources. Consequently, the collection of indicator data continues to rely on paper-based operations.To tackle common issues in collecting indicator data, such as incomplete or inaccurate data, time-consuming aggregation and statistical analysis, and a lack of timeliness, we have implemented appropriate Business Intelligence (BI) tools. We provide educational training to empower users to create visual templates for indicators that are tailored to their specific requirements. This approach saves time, reduces data duplication, and minimizes writing errors. It enhances supervisors’ understanding of the current situation and future prospects in terms of data analysis and timeliness. Ultimately, this initiative improves healthcare quality and management effectiveness.
Improved Nursing Workload by Introducing a Traceability System to Manage Medical Materials
Authors: Nishi Ryota , Tajiri Hiroshi , Miyo Kengo
Published: July 2024

This paper reports a case study in which an improvement in nursing work was achieved through the introduction of a traceability system compatible with radio-frequency identification (RFID) and bar codes for the management of medical materials. In verifying the RFID-based system in an operating room, the work time was reduced to approximately one-tenth of that of barcode reading. In the catheterization laboratory, a system consisting of a cartel management system utilizing bar codes and an RFID-compatible inventory management cabinet was introduced. The system eliminates the need to cut and paste packages onto vouchers after the cases are completed and digitizes the data sent to the medical affairs department for secure billing. We are implementing this system at many facilities, and, in addition to improving the work of nurses, we are taking new steps to improve hospital management through data linkage.
Nurse Involvement in Health Information Technology Design for Computerized Nursing Practice: A Scoping Review
Authors: Kobekyaa Francis K. , Haase Kristen R. , Currie Leanne M.
Published: July 2024

This scoping review assesses evidence regarding nurse involvement in health information technology (health IT) design, focusing on the method(s), frequency, capacity, and levels of involvement. The JBI methodology for scoping reviews was used to search seven multidisciplinary databases, yielding 2948 articles. After screening, 98 articles were included for data abstraction. Textual data summary is ongoing. Preliminary findings highlight that nurses are often involved in the late stages of health IT design, with less frequency in the early and pre-programming design phases. Most studies used a user-centered design approach to elicit nurses’ views about health IT tools after the tools had been developed, with nearly half being point of care nurses. Increasing nurse involvement in health IT design may help to improve nurses’ perceptions of health IT that nurses use.
Development of an Online Training System on Pulmonary Aspiration for Clinical Nurses
Authors: Gao Xueli , Tong Ling , Fu Shuojin , Wang Yanling , Xiao Qian
Published: July 2024

Pulmonary aspiration is a particularly problematic condition in patients in hospitals and nursing home. To promote patient safety and prevent serious complications, the nurse’s role in preventing and caring for patient at high risk of pulmonary aspiration is crucial. Our team has developed an online training system on pulmonary aspiration for nurses to improve their ability to identify early risk factors, scientifically assess the risk of aspiration, and effectively intervene and manage when pulmonary aspiration occurs. This system was developed via WeChat app, the most popular social media application in China. It has four main functions, such as online training, online assessment, announcement interaction, and learning record. This online training systems offer the benefits of flexible learning time with anytime access, rich resources that are easy to update, and greater cost-effectiveness. This paper presents and discusses the development process of this system.
Enhancing Roles: Teaching the Teachers Through EHR Documentation and Associated Quality of Care Analysis
Authors: Tietze Mari , Thomas Patricia E.
Published: July 2024

Electronic health records (EHR) are designed to promote patient safety, workflow efficiency, and communication (HealthIT.gov). Competency in the use of an EHR is essential for both undergraduate and graduate nursing students. Masters prepared nurse educator students may become clinical faculty in schools of nursing or clinical nurse educators in hospitals or out-patient settings after graduation. A gap exists in preparing future nurse educators to teach EHR-specific skills to their future nursing student populations and in promoting patient safety through quality improvement initiatives. The purpose of this observational study is to evaluate experiential learning activities for Master of Science in Nursing (MSN) nurse educator students aimed at preparing them to teach EHR-specific skills to undergraduate nursing students and in utilizing an EHR query activity to develop quality improvement plans.
An Examination of the Usefulness of a Human Resource Development Tool of New Visiting Nurses
Authors: Somaki Sachiko , Majima Yukie , Masuda Seiko , Nakamura Yumiko
Published: July 2024

Japan’s aging rate is among the highest in the world these days. Consequently, home-visiting nursing stations (“stations”) are increasing rapidly, but visiting nurses do not remain working at them for long. We developed a human resource promotional tool using spreadsheet software (Excel®; Microsoft Corp.) to support the education of newly appointed nurses working at the stations. Through this research we report findings of an examination concerning the usefulness of this tool on a trial basis. The results show that use of the tool led to increased motivation and decreased educational needs, a visualization of the skills acquired by newcomer nurses had an impact on their motivation to learn along with learning effectiveness.