bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study
Authors: Lee Hyun Woo , Yang Hyun Jun , Kim Hyungjin , Kim Ue-Hwan , Kim Dong Hyun , Yoon Soon Ho , Ham Soo-Youn , Nam Bo Da , Chae Kum Ju , Lee Dabee , Yoo Jin Young , Bak So Hyeon , Kim Jin Young , Kim Jin Hwan , Kim Ki Beom , Jung Jung Im , Lim Jae-Kwang , Lee Jong Eun , Chung Myung Jin , Lee Young Kyung , Kim Young Seon , Lee Sang Min , Kwon Woocheol , Park Chang Min , Kim Yun-Hyeon , Jeong Yeon Joo , Jin Kwang Nam , Goo Jin Mo 
Published: February 2023

Background
An artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19.

Objective
We aimed to develop and validate a prediction model using CXR based on an AI model and clinical variables to predict clinical outcomes in patients with COVID-19.

Methods
This retrospective longitudinal study included patients hospitalized for COVID-19 at multiple COVID-19 medical centers between February 2020 and October 2020. Patients at Boramae Medical Center were randomly classified into training, validation, and internal testing sets (at a ratio of 8:1:1, respectively). An AI model using initial CXR images as input, a logistic regression model using clinical information, and a combined model using the output of the AI model (as CXR score) and clinical information were developed and trained to predict hospital length of stay (LOS) ≤2 weeks, need for oxygen supplementation, and acute respiratory distress syndrome (ARDS). The models were externally validated in the Korean Imaging Cohort of COVID-19 data set for discrimination and calibration.

Results
The AI model using CXR and the logistic regression model using clinical variables were suboptimal to predict hospital LOS ≤2 weeks or the need for oxygen supplementation but performed acceptably in the prediction of ARDS (AI model area under the curve [AUC] 0.782, 95% CI 0.720-0.845; logistic regression model AUC 0.878, 95% CI 0.838-0.919). The combined model performed better in predicting the need for oxygen supplementation (AUC 0.704, 95% CI 0.646-0.762) and ARDS (AUC 0.890, 95% CI 0.853-0.928) compared to the CXR score alone. Both the AI and combined models showed good calibration for predicting ARDS (P=.079 and P=.859).

Conclusions
The combined prediction model, comprising the CXR score and clinical information, was externally validated as having acceptable performance in predicting severe illness and excellent performance in predicting ARDS in patients with COVID-19.
Development of a capital expenditure model in the context of construction digitalization
Authors: Larionov Arkadij N. , Solovev Vyacheslav V. , Morozov Alexander A. 
Published: February 2023

Introduction. The purpose of this research project is to study the development of construction digitalization methods and means. Substantial discrepancies between the state digitalization policy and the practice of mastering digital instruments in the course of construction and investment activities hinder the high-quality implementation of certain tasks. Of particular interest is the problem of calculating capital expenditures at various stages of implementation of an investment project.
Materials and methods. Methodological approaches to digitalization problems are based on the pricing subsystem extracted from the information model of a project. This subsystem is used to address the main pricing tasks pursued by the government authorities and construction industry contractors implementing their own digitalization options. Conflicting interests of different participants in construction and investment projects, as well as the variance in the informatisation stra­tegy, implemented at the previous stages, substantially complicate the search for a solution that equally satisfies the state and the business community.
Results. The authors have identified the need to devise consistent state-level methodological approaches to developing information modelling architecture, taking into account the current practice of construction cost budgeting in the course of project management. Towards this end, the logical structure of the “Pricing” subsystem was developed using the information modelling technologies. Design companies, technical clients, project managers, and construction contractors must have equal rights to access and handle construction cost data.
Conclusions. The authors have found a discrepancy between state approaches to construction project budgeting and cost management practices at the stages of construction project implementation. No large-scale transition to information mode­lling is feasible without the adoption of unified methodological solutions in terms of cost calculations.
ANALISIS POSTUR KERJA DENGAN METODE RULA DAN REBA PADA OPERATOR PENGIRIMAN PT. DJARUM GLT KALIWUNGU
Authors: Rangga Primadasa Amrina Rosada, Akh. Sokhibi, 
Published: February 2023

Postur tubuh pekerja yang kurang baik saat bekerja dapat menimbulkan terjadinya gangguan pada rangka tubuh atau Musculoskeletal disorders (MSDs).
Pada PT. Djarum GLT Kaliwungu terdapat proses pengiriman tembakau yang melibatkan seorang operator untuk melakukan pendataan dan pencatatan. Namun, aktivitas yang dilakukan oleh operator pengiriman tersebut belum menerapkan prinsip ergonomis dan memerlukan analisis lebih lanjut untuk mengetahui tingkat resiko yang dialami oleh operator pengiriman. Penelitian ini dilakukan dengan menggabungkan metode RULA dan REBA. Dimana hasil penelitian menggunakan metode RULA pada saat duduk memiliki skor 7 yang artinya Diperlukan investigasi lebih lanjut serta dilakukan perubahan segera, sedangkan pada pisi berdiri memiliki skor 7 yang artinya Diperlukan investigasi lebih lanjut serta dilakukan perubahan segera Serta nilai REBA yang dihasilkan pada posisi duduk memiliki skor 5 yang artinya Resiko sedang, investigasi lebih lanjut, melakukan perbaikan secepatnya, sedangkan pada posisi berdiri hasil penelitian metode REBA memiliki skor 9 yang artinya Resiko cidera sangat tinggi serta perubahan sangat diperlukan sesegera mungkin.
The Adam Mickiewicz University Nature Collections IT system (AMUNATCOLL): metadata structure, database and operational procedures
Authors: Lawenda Marcin , Wiland-Szymańska Justyna , Nowak Maciej M. , Jędrasiak Damian , Jackowiak Bogdan 
Published: February 2023

Abstract
This paper describes the procedures and operational aspects related to the proper storage and handling of taxonomic, biogeographic and ecological data of biological specimens digitised under the AMUNATCOLL project. In the introductory phase of this process, the definition of the metadata is carried out, which is the formal handler of the structure, based upon the analysis of existing standards. The set of parameters derived from the standard is extended by data that is important according to the point of view of the specificity and functionality of the developed system. Subsequently, the database, as a key element in many IT systems, must be set up for data storage along with the suitable structure that reinforces efficiency. The process of preparing and casting a large amount of data requires automated procedures with dedicated tools attached. These approaches address a variety of processes starting from data preparation, where occasionally conversion must occur, aggregation and finally validation, which guarantees that data apply defined rules. Above all, dedicated operational procedures must be defined and applied to enable proper handling of the entire process.
Artificial Intelligence Based Flood Forecasting for River Hunza at Danyor Station in Pakistan
Authors: Yaseen Muhammad Waseem , Awais Muhammad , Riaz Khuram , Rasheed Muhammad Babar , Waqar Muhammad , Rasheed Sajid 
Published: February 2023

Abstract
Floods can cause significant problems for humans and can damage the economy. Implementing a reliable flood monitoring warning system in risk areas can help to reduce the negative impacts of these natural disasters. Artificial intelligence algorithms and statistical approaches are employed by researchers to enhance flood forecasting. In this study, a dataset was created using unique features measured by sensors along the Hunza River in Pakistan over the past 31 years. The dataset was used for classification and regression problems. Two types of machine learning algorithms were tested for classification: classical algorithms (Random Forest, RF and Support Vector Classifier, SVC) and deep learning algorithms (Multi-Layer Perceptron, MLP). For the regression problem, the result of MLP and Support Vector Regression (SVR) algorithms were compared based on their mean square, root mean square and mean absolute errors. The results obtained show that the accuracy of the RF classifier is 0.99, while the accuracies of the SVC and MLP methods are 0.98; moreover, in the case of flood prediction, the SVR algorithm outperforms the MLP approach.
Comparison of CalliSpheres® microspheres drug-eluting beads and conventional transarterial chemoembolization in hepatocellular carcinoma patients: a randomized controlled trial
Authors: Shi Zhongxing , Wang Dongqing , Kang Tanrong , Yi Ru , Cui Liming , Jiang Huijie 
Published: February 2023

Abstract

Background
This trial aimed to compare the outcomes of drug-eluting beads transarterial chemoembolization (DEB-TACE) with CalliSpheres® microspheres (CSM) and conventional transarterial chemoembolization cTACE in the treatment of patients with unresectable hepatocellular carcinoma (HCC).

Patients and methods
A total of 90 patients were divided into DEB-TACE group (n = 45) and cTACE group (n = 45). The treatment response, overall survival (OS), progression-free survival (PFS), and the safety were compared between the two groups.

Results
The objective response rate (ORR) in the DEB-TACE group was significantly higher than that in cTACE group at 1, 3, and 6 months of follow-up (P = 0.031, P = 0.003, P = 0.002). The complete response (CR) in DEB-TACE group was significantly higher than that in cTACE group at 3 months (P = 0.036). Survival analysis revealed that, DEB-TACE group had better survival benefits than cTACE group (median OS: 534 days vs. 367 days, P = 0.027; median PFS: 352 days vs. 278 days P = 0.004). The degree of liver function injury was more serious in DEB-TACE group at 1 week, but was similar between the two groups at 1 month. DEB-TACE with CSM caused a high incidence of fever and a severe abdominal pain (P = 0.031, P = 0.037).

Conclusions
DEB-TACE with CSM showed better treatment response and survival benefits than cTACE group. Although a transient more severe liver damage, high incidence of fever and a severe abdominal pain occurred in the DEB-TACE group, it could be resolved through symptomatic treatment.
Transjugular intrahepatic portosystemic shunt reduction for refractory hepatic encephalopathy: a case series
Authors: Healey Marcus Allen , Duong Nikki , Patel Kunal , Strife Brian , Sterling Richard K. 
Published: February 2023

Background:
Transjugular intrahepatic portosystemic shunt (TIPS) is a therapeutic intervention for refractory ascites and variceal bleeding. However, the development of hepatic encephalopathy (HE) is a known complication. TIPS diameter can be reduced to decrease further HE episodes when refractory to pharmacotherapy. However, TIPS reduction for refractory hepatic encephalopathy (rHE) is poorly described. This case series identifies various characteristics and outcomes among this unique patient cohort.

Case Presentation:
In this cohort of 8 patients, 63% were male, 75% were Caucasian, and 38% had alcohol-associated cirrhosis. Following TIPS reduction, the number of HE-related admissions (mean, median) decreased from 2.1 and 2 to 1.6 and 0.5 while the number of non-HE admissions following TIPS reduction increased from 0.6 and 0 to 1 and 0.5.

Conclusion:
TIPS reduction reduced the number of hospitalizations for rHE but the total number of hospitalizations for all causes increased, demonstrating the high resource utilization for those with rHE following TIPS. Therefore, careful selection for initial TIPS placement remains a priority.
Validation of the quality of sleep data generated by Xiaomi Mi Band 5
Authors: Rivas Vázquez Estefanía , Alvarez Estévez Diego , Concheiro-Moscoso Patricia , Pereira Javier 
Published: February 2023

The wristbands are very popular among the population due to factors such as their low cost, ease of use, designs and the feedback they provide to the consumer. These wearables track activity, heart rate and sleep-wake patterns. However, few studies have analysed the reliability of the data collected by these activity devices.The validation of sleep data should be carried out by comparing it with Polysomnog- raphy (PSG), which is the standard test for measuring sleep parameters in the clinical setting. Thus, the aim of this project is the validation of the data quality of the Xiaomi Mi Band 5 wristband, when compared with the data by the hospital sleep unit devices during the performance of the polysomnography test.In order to achieve this objective, an Epoch by Epoch (EBE) analysis will be performed to analyse how similar the results obtained by the two methods are. This analysis will use data from 45 people who underwent a PSG test and wore a Xiaomi Mi Band 5 bracelet for one night in a sleep unit of a hospital in A Corun ̃a. For this analysis, raw data from the PSG device and data from the Xiaomi Mi Band 5 wristband were used. In addition, different sleep variables were determined with the data extracted from both devices and following the guidelines of the American Academy of Sleep Medicine (AASM) manual.
Mixed Reality in Surgery – a Delphi study
Authors: Veloso Rita , Magalhães Renato , Lima Ana , Veloso Gomes Paulo , Marques Antonio , Pereira Javier 
Published: February 2023

Virtual Reality, Augmented Reality and Mixed Reality all have useful applications in the field of medicine, but Mixed reality has great potential because it allows for interaction with both real and digital Objects.Based on a previous literature review, a preliminary Delphi study was performed to obtain the opinion of a panel of 22 experts from several hospitals on the use of Mixed Reality tools, such as the HoLoLens 2, in surgeries.After data collection, a consensus letter was signed. According to experts, the most useful areas are medical education and surgical planning.
Strategy for data Cybersecurity in European Health Data Ecosystem
Authors: Curado Henrique , Veloso Gomes Paulo , Jacquinet Marc , Marques Antonio , Pereira Javier 
Published: February 2023

This study aims to analyze the Strategy for Data Cybersecurity in the European Health Data Ecosystem, to be implemented in 2025. The document analysis was carried out to map the different proposals for a regulation of the European Parliament and of the Council, regarding the sharing of the Electronic Health Record in the European space, and the General Data Protection Regulation implemented in the European Union.After an exhaustive documentary analysis, inconsistencies or flaws were detected that could compromise the rights of citizens enshrined in the General Data Protection Regulation.
Component for the visualization of a spatio-temporal data warehouse in a Geographic Information System
Authors: Lamas Sardiña Victor Juan , Cortiñas Álvarez Alejandro , Rodríguez Luaces Miguel , Pedreira Óscar 
Published: February 2023

In the Database Laboratory of the University of A Corun ̃a, we have a software product line for the creation of Geographic Information Systems (GIS) on the web. In the case that the data is available in a data warehouse, the current functionality of the product line is not enough. Therefore, it is necessary to create a component in charge of connecting the data warehouse with the user interface providing the usual functionality (filters and aggregations in the different dimensions of the data warehouse).Given that integrating the functionality and variability of the exploration of a data warehouse in a software product line is complicated, we have opted for a first approximation to define an exploration component in a GIS of any data warehouse. The component receives, utilizing a domain-specific language, a description of the data model (i.e. the facts and the hierarchy of dimensions, how each of them is related, and the way to retrieve their values) and makes the user interface components independent from the management of the communication with the data warehouse.
Meningkatkan Hasil Belajar Matematika Bilangan Berpangkat dan Bentuk Akar Melalui Model Pembelajaran Cooperative Learning Tipe Team Assisted Individualization (TAI) Siswa Kelas IX.2 SMP Negeri 1 Tanete Riaja Kabupaten Barru
Authors: Arifuddin Arifuddin 
Published: February 2023

Berdasarkan pengamatan hasil analisis ulangan harian siswa kelas IX2 di SMP Negeri 1 Tanete Riaja kabupaten Barru, semester dua tahun pelajaran 2013-2014. Mata pelajaran Matematika kompetensi dasar bilangan berpangkat dan bentuk akar dengan mengacu kepada kurikulum KTSP 2006, skor ketuntasan adalah 77. Masih terdapat 12 siswa yang mendapatkan nilai kurang dari 77, dari 39% siswa kelas IX.2 berada pada kriteria belum tuntas dari rata-rata ulangan harian adalah 72,6, dengan 31 orang siswa yang hadir tes. Sehingga guru matematika merasa berkewajiban memecahkan masalah melalui wadah penelitian tindakan kelas, dengan tujuan meningkatkan hasil belajar matematika bilangan berpangkat dan bentuk akar melalui model pembelajaran Cooperative Learning Tipe Team Assisted Individualization (TAI) siswa kelas IX.2 SMP Negeri 1 Tanete Riaja Kabupaten Barru. Penelitian ini dilaksanakan tiga siklus setiap siklus merupakan rangkaian yang saling berkaitan. Setiap siklus terdiri dari empat tahap kegiatan yang meliputi: Tahap perencanaan, tindakan, observasi dan refleksi. Subyek penelitian ini adalah siswa kelas IX.2 terdiri 31 orang, 15 orang jenis kelamin laki-laki, 16 orang jenis kelamin peremupan. Data kualitatif dikumpul melalui lembar observasi aktivitas siswa dan kemampuan guru, sedang data kuantitatif dikumpul melalui tes hasil belajar tiap akhir siklus. Hasil penelitian menunjukkan hasil belajar pada pokok bahasan Matematika bilangan berpangkat dan bentuk akar, mencapai rata-rata 61,94 siklus 1, mengalami penurunan sebesar 10,67% dari pembelajaran prasiklus. Siklus 2 mencapai rata-rata 66,71, mengalami peningkatan sebesar 4,77% dari pembelajaran siklus 1, tetapi kategori tetap yaitu kurang. Siklus 3 mencapai rata-rata 79,39, mengalami peningkatan sebesar 12,68% dari siklus 2, meningkat kategori kurang menjadi cukup.
Komunikasi Antara Kognitif dan Kemampuan Berbahasa
Authors: Anas Nirwana , Sapri Sapri 
Published: February 2023

<p><strong>Keterampilan komunikasi adalah salah satu keterampilan yang harus dimiliki seseorang sebagai keterampilan penunjang abad ke-21. Keterampilan komunikasi merupakan keterampilan untuk mengungkapkan pemikiran, gagasan, pengetahuan, ataupun informasi baru, baik secara tertulis ataupun lisan. Keterampilan komunikasi tidak terlepas dari kemampuan secara kognitif dan kemampuan berbahasa. Kemampuan kognitif bertugas untuk menata pengetahuan, pemikiran, ide dan informasi yang akan disampaikan melalui kemampuan berbahasa. Melalui kemampuan berbahasa yang baik akan dihasilkan kemampuan komunikasi yang berkualitas. Sebagai wujud akhir dari keterampilan komunikasi seseorang dapat dinilai melalui empat aspek, yakni: ekspresi, evaluasi, respon dan negosiasi. </strong></p><strong>Kata kunci</strong>: Kognitif; Komunikasi; Kemmapuan Berbahasa.
Phytosterol Profile in Iraqi Lactuca serriola after Purification and Isolation by Combiflash and HPLC (Conference Paper )#
Authors: Murtadha Saleh Hussien  , Ayad A. Al-Hamashi  
Published: February 2023

One of these plants utilized in traditional medicine is Lactuca seriolla Linn., which belongs to the Asteraceae family. It goes by a variety of common names in the world, including prickly lettuce, wild lettuce, jagged lettuce, and Kahu and khas. The work aimed to isolate and characterize some bioactive constituent(s) from the aerial part of Lactuca serriola utilizing Combiflash NEXTGEN and high-performance liquid chromatography (HPLC). Lactuca serriola (aerial part) was extracted with 80% ethanol, then fractionated with hexane. Then 250 mg of hexane extract was mixed with 4 g of silica gel and loaded in cartilage, then bounded to the gold column of combi flash using a solvent system comprised of ethyl acetate: n-hexane (10% ethyl acetate 90% hexane v/v) to elute the column. The fractions resulting were analyzed by thin layer chromatography and high-performance liquid chromatography (HPLC). white needle-like crystalline substances were isolated via combi flash column chromatography. The isolated product was analyzed by thin layer chromatography and high-performance liquid chromatography (HPLC). β-sitosterol (11 mg) and stigmasterol (7 mg) were obtained from 250 mg of hexane fraction.
Pentapeptide WN5 targets the gut microbiota in alleviating Alzheimer’s disease pathologies
Authors: Amakye William Kwame , Ren Zhengyu , Wang Min , Yao Maojin , Ren Jiaoyan 
Published: February 2023

BACKGROUND: Antioxidant peptides have gained attention as potential therapeutic agents for Alzheimer’s disease (AD). The gut microbiota is also increasingly being recognized as central to AD progression and a potential therapeutic target for the disease. OBJECTIVE: Using a recently-identified antioxidant pentapeptide (Trp-Pro-Pro-Lys-Asn, WN5), we sort to test the hypothesis that dietary components could target the microbiota to inhibit Aβ aggregation and relieve AD-related cognitive impairments. METHOD: An Aβ42 aggregation cell model was employed to predict the ability of WN5 to inhibit Aβ aggregation. APP/PS1 mice were then used to explore the learning and memory-improving capacity of WN5 by targeting the gut microbiota. RESULTS: WN5 dose-dependently attenuated cellular Aβ-aggregation. Oral administration of WN5 (WN5_G) was associated with decreased microbial diversity and tended to impact the abundance of several major bacterial species associated with AD. The observed microbiota changes were significantly associated with reduced hippocampal Aβ aggregation (17.6±0.71 for WN5_G and 25.4±1.7 for the control group; p < 0.009) and improved cognitive performance. However, these observations were absent when WN5 was administered intraperitoneally (WN5_Ip). CONCLUSION: The results from this preliminary study suggested that WN5 could be useful in ameliorating AD-related symptoms via the gut-brain-axis and further emphasize the significance of the gut microbiota in AD.