bluuebunny/crossref_metadata_2025_split huggingface dataset:
Phosphorus Balance in a Saline soil Cultivated with Sugar Beet (Beta vulgaris L. subsp. Vulgaris var. altissima Döll)
Authors: Valdivia Vega Sergio , Pinna Cabrejos Jorge , Valdivia Salazar Sergio 
Published: October 2022

En los valles irrigados de la costa árida peruana, en más del 30 % de su superficie, los suelos están afectados por la salinidad o mal drenaje y no permiten el desarrollo de la caña de azúcar por tener baja tolerancia a la salinidad. Para esta región, la remolacha azucarera puede ser una alternativa para la producción de azúcar, ya que tiene tolerancia a altas concentraciones de sales. Además, sus raíces pueden almacenar mayor concentración de sacarosa (superior a 18 % de su peso fresco) que la caña y puede producir más azúcar por hectárea/año. El objetivo de este trabajo fue cuantificar el balance del fósforo en el suelo, con el fin de encontrar si es necesaria su aplicación en la remolacha azucarera. Se evaluaron cinco cultivares monogermen, desarrollados en un suelo aluvial (Entisols) altamente salino (5,38-22,5 dS/m) de la Empresa Azucarera Casa Grande. El experimento se hizo en bloques completos al azar, con cinco tratamientos y seis repeticiones. El campo se regó con agua de pozo y se fertilizó con urea (180 kg/ha de N). Se encontró que en estos suelos marginales la remolacha azucarera produce altos rendimientos (81,73 t/ha) de raíces para la producción de azúcar o alcohol. Realizado el balance entre las ganancias y pérdidas de P, se encontró que se incorporan al suelo 94,4 kg/ha de P y que se pierden del mismo 63,52 kg/ha de P, habiendo superado las ganancias a las pérdidas en 30,88 kg/ha de P, lo que hace innecesaria la aplicación de este elemento en este tipo de suelos y en este cultivo.
The Use of Electronic Health Record Metadata to Identify Nurse-Patient Assignments in the Intensive Care Unit: Algorithm Development and Validation
Authors: Riman Kathryn A , Davis Billie S , Seaman Jennifer B , Kahn Jeremy M 
Published: October 2022

Background
Nursing care is a critical determinant of patient outcomes in the intensive care unit (ICU). Most studies of nursing care have focused on nursing characteristics aggregated across the ICU (eg, unit-wide nurse-to-patient ratios, education, and working environment). In contrast, relatively little work has focused on the influence of individual nurses and their characteristics on patient outcomes. Such research could provide granular information needed to create evidence-based nurse assignments, where a nurse’s unique skills are matched to each patient’s needs. To date, research in this area is hindered by an inability to link individual nurses to specific patients retrospectively and at scale.

Objective
This study aimed to determine the feasibility of using nurse metadata from the electronic health record (EHR) to retrospectively determine nurse-patient assignments in the ICU.

Methods
We used EHR data from 38 ICUs in 18 hospitals from 2018 to 2020. We abstracted data on the time and frequency of nurse charting of clinical assessments and medication administration; we then used those data to iteratively develop a deterministic algorithm to identify a single ICU nurse for each patient shift. We examined the accuracy and precision of the algorithm by performing manual chart review on a randomly selected subset of patient shifts.

Results
The analytic data set contained 5,479,034 unique nurse-patient charting times; 748,771 patient shifts; 87,466 hospitalizations; 70,002 patients; and 8,134 individual nurses. The final algorithm identified a single nurse for 97.3% (728,533/748,771) of patient shifts. In the remaining 2.7% (20,238/748,771) of patient shifts, the algorithm either identified multiple nurses (4,755/748,771, 0.6%), no nurse (14,689/748,771, 2%), or the same nurse as the prior shift (794/748,771, 0.1%). In 200 patient shifts selected for chart review, the algorithm had a 93% accuracy (ie, correctly identifying the primary nurse or correctly identifying that there was no primary nurse) and a 94.4% precision (ie, correctly identifying the primary nurse when a primary nurse was identified). Misclassification was most frequently due to patient transitions in care location, such as ICU transfers, discharges, and admissions.

Conclusions
Metadata from the EHR can accurately identify individual nurse-patient assignments in the ICU. This information enables novel studies of ICU nurse staffing at the individual nurse-patient level, which may provide further insights into how nurse staffing can be leveraged to improve patient outcomes.
COVID-19 Messaging on Social Media for American Indian and Alaska Native Communities: Thematic Analysis of Audience Reach and Web Behavior
Authors: Weeks Rose , White Sydney , Hartner Anna-Maria , Littlepage Shea , Wolf Jennifer , Masten Kristin , Tingey Lauren 
Published: October 2022

Background
During the COVID-19 pandemic, tribal and health organizations used social media to rapidly disseminate public health guidance highlighting protective behaviors such as masking and vaccination to mitigate the pandemic’s disproportionate burden on American Indian and Alaska Native (AI/AN) communities.

Objective
Seeking to provide guidance for future communication campaigns prioritizing AI/AN audiences, this study aimed to identify Twitter post characteristics associated with higher performance, measured by audience reach (impressions) and web behavior (engagement rate).

Methods
We analyzed Twitter posts published by a campaign by the Johns Hopkins Center for Indigenous Health from July 2020 to June 2021. Qualitative analysis was informed by in-depth interviews with members of a Tribal Advisory Board and thematically organized according to the Health Belief Model. A general linearized model was used to analyze associations between Twitter post themes, impressions, and engagement rates.

Results
The campaign published 162 Twitter messages, which organically generated 425,834 impressions and 6016 engagements. Iterative analysis of these Twitter posts identified 10 unique themes under theory- and culture-related categories of framing knowledge, cultural messaging, normalizing mitigation strategies, and interactive opportunities, which were corroborated by interviews with Tribal Advisory Board members. Statistical analysis of Twitter impressions and engagement rate by theme demonstrated that posts featuring culturally resonant community role models (P=.02), promoting web-based events (P=.002), and with messaging as part of Twitter Chats (P<.001) were likely to generate higher impressions. In the adjusted analysis controlling for the date of posting, only the promotion of web-based events (P=.003) and Twitter Chat messaging (P=.01) remained significant. Visual, explanatory posts promoting self-efficacy (P=.01; P=.01) and humorous posts (P=.02; P=.01) were the most likely to generate high–engagement rates in both the adjusted and unadjusted analysis.

Conclusions
Results from the 1-year Twitter campaign provide lessons to inform organizations designing social media messages to reach and engage AI/AN social media audiences. The use of interactive events, instructional graphics, and Indigenous humor are promising practices to engage community members, potentially opening audiences to receiving important and time-sensitive guidance.
The PharmNet Harm Reduction Intervention for Community Pharmacies: Protocol for a Pilot Randomized Controlled Trial
Authors: Eldridge Lori Ann , Agley Jon , Meyerson Beth E , Golzarri-Arroyo Lilian 
Published: October 2022

Background
The overdose epidemic in the United States has continued to worsen despite substantial efforts to mitigate its harms. The opioid antagonist naloxone has been identified as a key means of reducing the prevalence of fatal overdoses. An important evidence-based approach to optimizing naloxone’s impact is to seed it throughout the community, because bystanders are often able to reverse overdoses more quickly than first responders and sometimes are the only possible means of overdose reversal. As part of a multipronged approach to distributing naloxone nationwide, community pharmacies have been identified as ideal venues for naloxone dispensing, especially under standing orders. However, dispensing rates remain surprisingly low, and there is a need to understand how best to engage community pharmacies in naloxone-based harm reduction services.

Objective
The objective of this trial is to determine whether a tailored, pragmatic pharmacy intervention (PharmNet) results in greater naloxone dispensing relative to baseline (the prior 3 months) compared to a control condition. This pilot trial is intended to determine whether it is appropriate to invest the substantial resources that would be required to conduct a full-scale, randomized controlled study of PharmNet.

Methods
We will conduct a 3-month randomized controlled pilot trial consisting of 2 parallel groups with a 4:3 allocation ratio. A group of 7 independent pharmacies from rural areas in Indiana will be randomly assigned to either the PharmNet intervention arm (n=4) or the control arm (n=3). The primary outcome will be overall naloxone dispensing (both at cost and free), and secondary outcomes will include the distribution of referral cards and multiple variables at the level of individual staff members. Dispensing data will be collected for the 3 months prior to the intervention and the 3 months of the intervention, and all other data will be collected using a pretest-posttest design. The primary analysis will be a generalized linear mixed model with a Poisson distribution with fixed effects for group, time, and their interaction and a random effect for pharmacy ID to account for repeated measures within pharmacies.

Results
This study was approved by the Indiana University institutional review board in 2 phases (August 2, 2021, and April 26, 2022) and was funded by the Indiana University Grand Challenge: Responding to the Addictions Crisis.

Conclusions
If this study produces evidence that the PharmNet intervention results in increased naloxone dispensing relative to control pharmacies, it will be both appropriate and important to study it in a large, full-scale randomized controlled trial.

International Registered Report Identifier (IRRID)
PRR1-10.2196/42373
Construction of Cohorts of Similar Patients From Automatic Extraction of Medical Concepts: Phenotype Extraction Study
Authors: Gérardin Christel , Mageau Arthur , Mékinian Arsène , Tannier Xavier , Carrat Fabrice 
Published: October 2022

Background
Reliable and interpretable automatic extraction of clinical phenotypes from large electronic medical record databases remains a challenge, especially in a language other than English.

Objective
We aimed to provide an automated end-to-end extraction of cohorts of similar patients from electronic health records for systemic diseases.

Methods
Our multistep algorithm includes a named-entity recognition step, a multilabel classification using medical subject headings ontology, and the computation of patient similarity. A selection of cohorts of similar patients on a priori annotated phenotypes was performed. Six phenotypes were selected for their clinical significance: P1, osteoporosis; P2, nephritis in systemic erythematosus lupus; P3, interstitial lung disease in systemic sclerosis; P4, lung infection; P5, obstetric antiphospholipid syndrome; and P6, Takayasu arteritis. We used a training set of 151 clinical notes and an independent validation set of 256 clinical notes, with annotated phenotypes, both extracted from the Assistance Publique-Hôpitaux de Paris data warehouse. We evaluated the precision of the 3 patients closest to the index patient for each phenotype with precision-at-3 and recall and average precision.

Results
For P1-P4, the precision-at-3 ranged from 0.85 (95% CI 0.75-0.95) to 0.99 (95% CI 0.98-1), the recall ranged from 0.53 (95% CI 0.50-0.55) to 0.83 (95% CI 0.81-0.84), and the average precision ranged from 0.58 (95% CI 0.54-0.62) to 0.88 (95% CI 0.85-0.90). P5-P6 phenotypes could not be analyzed due to the limited number of phenotypes.

Conclusions
Using a method close to clinical reasoning, we built a scalable and interpretable end-to-end algorithm for extracting cohorts of similar patients.
Analysis Of Student Learning Difficulties On Number Pattern Material Reviewed From Student Learning Independence
Authors: Rusmawati Kintan Utari 
Published: October 2022

This study aims to analyze students' learning difficulties in the number pattern material based on their level of learning independence and to look for factors that cause students to have learning difficulties. The method used in this research is descriptive qualitative. The subjects of the study were students of class VIII D SMPIT Adzkia, totaling 3 people, selected based on their level of learning independence. The instruments in this study were a learning independence questionnaire and a test instrument consisting of 4 questions related to the number pattern material to analyze students' learning difficulties. The results showed that: 1) students with high learning independence did not experience learning difficulties, 2) students with learning independence were having learning difficulties in determining concepts, and relating concepts to material (principles), 3) students with low learning independence had learning difficulties. in determining concepts, linking concepts with material (principles), and converting verbal problems into mathematical language.
Keywords: learning difficulties, number patterns, independent learning
Reflection Strategies on Students' Thinking Structures in the Mathematical Problem Solving Steps
Authors: Susanti Elly 
Published: October 2022

Thinking is a process of understanding various things encountered in everyday life, finding certain opinions or ideas, making judgments, and solving problems. One of the tasks teachers must do in learning mathematics is to help students convey the cognitive processes experienced when solving issues. The thinking errors are and the algorithms that are not yet complete in solving student problems. But in reality, students still have difficulties that cause errors in solving mathematical problems. This study describes the reflection strategy on thinking to correct students' misconceptions in solving mathematical problems. This type of research is descriptive research with a qualitative approach. Research data consists of student answers, results think aloud, and the results of semi-structured interviews. The results showed that students with low problem-solving abilities experienced assimilation at the stage of understanding the problem only. In contrast, at the scene of developing strategies and implementing plans, accommodation occurred. The students will attack because students can decompose problems into simpler ones but require reflection to connect mathematical material to solve problems. In addition, students also need thinking to correct errors and complete incomplete algorithms when carrying out plans for solving mathematical problems.
Keywords: reflection strategy, thinking structure, mathematical problem solving
Statistical Simmulation of Definite Integral Based on Uppersum and Lowersum Random Partitions using Geogebra
Authors: Alam Sur Widiya Astuti 
Published: October 2022

The aim of this paper is to present the statistical model simmulation about the definite integral concept based on upersum and lowersum random partitions by using geogebra. The random partitions of the uppersum and lowersum in determine the value of definite integral is used to find out the statsitical distribution of its generated random variable. Based on Kolmogorov Smirnov Test, the random variable data of subinterval partitions on uppersum and lowersum by using goegebra followed the certain statistical distribution. The random partitions of uppersum and lowersums followed Burr 4 parameter, Log-Pearson 3, and Pearson 6 distributions.
Рroblems of PCR diagnostics OF COVID-19
Authors: Grigorieva T. D. , Belopolskaya M. А. 
Published: October 2022

To date, an adequate and timely assessment of the number of cases is the basis of effective measures aimed at preventing the spread of COVID-19 infection. Real-time reverse transcription polymerase chain reaction (RT-PCR) remains the gold standard for confirming COVID-19.The purpose of the work: to analyze the experience of the city virological center of the S.P. Botkin Clinical Infectious Diseases Hospital (Botkin Hospital) for the examination for the presence of SARS-CoV-2 coronavirus by PCR in the period from 2020 to 2022.Materials and methods. The systematization of PCR studies on COVID-19 for the period 2020-2022 was carried out. A total of 221,901 people were examined, positive results were obtained in 55,372 (24.95%). Among the contingents of the examined patients, patients who underwent inpatient treatment at the Botkin Hospital.Conclusions. This study analyzed the possible causes of false-positive and false-negative PCR results. The correlation of the number of positive results with the dynamics of detection of new cases of COVID-19 in St. Petersburg during the 2020-2022 pandemic is shown. It has been established that the proportion of patients examined more than 3 times during the period of hospitalization remains significant. This fact requires the closest attention, given the high cost and laboriousness of PCR studies.
Quantum Molinism
Authors: Harvey Thomas , Kroon Frederick , Svozil Karl , Calude Cristian 
Published: October 2022

In this paper we consider the possibility of a Quantum Molinism: such a view applies an analogue of the Molinistic account of free will‘s compatibility with God’s foreknowledge to God’s knowledge of (supposedly) indeterministic events at a quantum level. We ask how (and why) a providential God could care for and know about a world with this kind of indeterminacy. We consider various formulations of such a Quantum Molinism, and after rejecting a number of options arrive at one seemingly coherent formulation.
PERAN GURU PENDIDIKAN PANCASILA DAN KEWARGANEGARAAN DALAM PENGUATAN PROFIL PELAJAR PANCASILA DI SEKOLAH
Authors: Rudiawan Rofi , Asmaroini Ambiro Puji 
Published: October 2022

Profil Pelajar Pancasila adalah program yang dibuat Kemendikbud sebagai upaya memperkuat pendidikan karakter di Indonesia. Program ini dapat menjadi jalan untuk mewujudkan tujuan pendidikan nasional yakni membentuk generasi yang cerdas secara intelektual dan memiliki karakter yang sesuai dengan pancasila. Dalam proses penguatan Profil Pelajara Pancasila penting adanya peran dari seorang guru utamanya guru PPKn. Tujuan dari penelitian ini adalah untuk mengetahui peran guru PPKn dalam penguatan Profil Pelajar Pancasila. Penelitian ini menggunkan metode penelitian literatur review. Isi dan pembahasan dalam penelitia ini terkait peran guru PPKn dalam penguatan profil pelajar Pancasila di sekolah.. Dari hasil kajian yang dilakukan peran guru PPKn sangatlah penting karena guru PPKn bukan hanya sekedar mentransfer ilmu pengetahuan tapi juga motivasi dan karakter pada anak. Dalam upaya penguatan Profil Pelajar Pancasila guru harus memiliki kemampuan utama yaitu sebagai contoh/ tauladan bagi anak. Memiliki perencanaan pembelajaran yang fokus pada pembentukan nilai-nilai Pancasila. Membuat pembelajaran yang berbasis pendekatan kearifan lokal. Membangun kesadaran peserta didik melalui model pembelajaran berbasis proyek. membuat pembelajara yang menarik dan tidak terbatas pada ruang, tempat dan waktu. Model pembelajaran yang memanfaatkan perkembangan TI. Membuat evaluasi pembelajaran yang terpusat pada pendekatan saintifik.
PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK BERBASIS PROYEK PADA TEMA INDAHNYA KERAGAMAN DI NEGERIKU
Authors: Dinasti Dara , Sukmawarti Sukmawarti 
Published: October 2022

Penelitian ini bertujuan untuk: (1) menghasilkan lembar kerja peserta didik berbasis proyek pada tema indahnya keragaman di negeriku, (2) mengetahui kelayakan media pembelajaran yaitu lembar kerja peserta didik berbasis proyek pada tema indahnya keragaman di negeriku yang valid dari hasil validasi kelayakan oleh ahli materi, ahli media dan angket respon guru dan peserta didik. Penelitian dilakukan di UPT SD NEGERI 105292 Bandar Klippah dengan menggunakan objek 30 siswa/i kelas IV SD untuk menguji cobakan LKPD berbasis proyek pada tema indahnya keragaman di negeriku. Instrumen yang digunakan untuk mengumpulkan data adalah angket dan tes LKPD berbabasis proyek. Teknik analisis data yang digunakan adalah teknik analisis metode campuran yaitu kualitatif dan kuantitatif. Hasil penelitian menunjukkan Pengembangan Lembar Kerja Peserta Didik Berbasis Proyek dilakukan dengan melakukan prosedur pengembangan model ADDIE (Analysis, Design, Development, Implementation,and Evaluation). Berdasarkan hasil penilaian yang di validasi oleh ahli materi dan media bahwa LKPD berbasis proyek yang dikembangkan sangat valid atau dapat digunakan tanpa revisi untuk siswa kelas IV SD. Dari hasil angket kepraktisan guru dan peserta didik dikatakan cukup praktis, atau dapat digunakan namun perlu revisi kecil. Dan dari hasil uji coba keefektifan peserta didik banyaknya peserta didik mencapai ketuntasan minimal (KKM) 27 orang dengan 3 siswa yang tidak mencapai ketuntasan minimal (KKM) dengan jumlah 30 orang siswa. Berdasarkan hasil hitungan dari uji-coba keefektifan peserta didik dilihat dari analisis data maka mendaptkan hasil 90 dan dilihat dari tabel kriteria keefektifan setara 81% - 100% dikatakan sangat efektif atau dapat digunakan tanpa revisi. Kata Kunci : Project Based Learning, LKPD Berbasis Proyek, Pembelajaran Tematik
Bioinformatic Characterization of a Kappa-Carrageenase from Pseudomonas fluorescens
Authors: Bakli Mahfoud , Bouras Noureddine , Paşcalău Raul , Șmuleac Laura 
Published: October 2022

Abstract
Kappa-carrageenase (EC 3.2.1.83) is a glycoside hydrolase family 16 (GH16) member that could specifically hydrolyse kappa-carrageenans to kappa-carrageenan oligosaccharides. Kappa-carrageenase enzymes have attracted much interest due to their numerous potential applications in biomedical and physiological fields, bioethanol production, and textile industry. In the present study, physicochemical, secondary structure, structural properties including homology modeling, refinement, and model quality validation, and functional analyses of the kappacarrageenanse from Pseudomonas fluorescens using various bioinformatic tools were conducted. The protein was found to be stable and acidic in nature. Secondary structure prediction revealed that the presence of random coil is more dominated in the protein sequence followed by extended strand, α-helix, and β-turn. Protein-protein interaction prediction revealed ten potential functional partners. This bioinformatic characterization provides for the first time insights into fundamental characteristics of the predicted Kappa-carrageenase of P. fluorescens, which may be useful for elucidating its applications and for further expression and characterization studies.