bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of factors affecting the mental condition of patients with chronic myeloid leukemia treated with tyrosine kinase inhibitors
Authors: Gibek Katarzyna , Sacha Tomasz 
Published: May 2022

Cel pracyCelem pracy było dokonanie ogólnej oceny zdrowia psychicznego, w tym: objawów somatyzacji, depresyjności, lęku i zaburzeń funkcjonowania u chorych na przewlekłą białaczkę szpikową (PBSz), leczonych inhibitorami kinaz tyrozynowych (IKT) oraz ocena wpływu czynników jak długość trwania choroby, skutki uboczne terapii, wiek i płeć na występowanie powyższych zaburzeń. Kolejnym celem była identyfikacja pacjentów zagrożonych rozwojem zaburzeń psychicznych.MetodaBadaniem zostało 91 chorych. Do oceny zdrowia psychicznego zastosowano ankietę własną, Kwestionariusz Davida Goldberga GHQ-28 oraz czterowymiarowy Kwestionariusz 4DSQ, mierzący cztery wymiary sfery psychicznej.WynikiWykazano średni poziom kondycji psychicznej badanej grupy, zidentyfikowano 29 osób z zaburzeniami sfery psychicznej. Kobiety oraz osoby mieszkające samotnie uzyskały gorsze wyniki w niemal wszystkich wymiarach kwestionariuszy. Wiek, liczba skutków ubocznych oraz płeć okazały się istotnie wpływać na zaburzenia stanu psychicznego. Wysoką korelację zanotowano pomiędzy liczbą skutków ubocznych a objawami somatyzacji. Przeciętne korelacje wystąpiły pomiędzy wiekiem a występowaniem zaburzeń psychicznych i wszystkimi wymiarami Kwestionariusza GHQ-28.WnioskiPraca wskazuje, że należy podejmować próby zmniejszania skutków ubocznych, pracę z psychologiem nad akceptacją choroby, psychoedukację, terapie behawioralne, ewentualnie nawiązywać kontakty z psychiatrą w celu rozważenia włączenia farmakoterapii jako sposoby, których wdrożenie w proces leczenia może poprawy jakość życia chorych.
An Optimized SWCSP Technique for Feature Extraction in EEG-based BCI System
Authors: Ghumman Navtej S. , Jindal Balkrishan 
Published: May 2022

Brain-computer interface (BCI) is an evolving technology having huge potential for rehabilitation of patients suffering from disorders of the nervous system, besides many other nonmedical applications. Multichannel electroencephalography (EEG) is widely used to provide input signals to a BCI system. Significant research in methodology employed to implement different stages of BCI system, has led to discovery of new issues and challenges. The raw EEG data includes artifacts from environmental and physiological sources, which is eliminated in preprocessing phase of BCI system. It is then followed by a feature extraction stage to isolate a few relevant features for further classification to a particular motor imagery (MI) activity. A feature extraction approach based on spectrally weighted common spatial pattern (SWCSP) is proposed in this paper to improve overall accuracy of a BCI system. The reported literature uses SWCSP for feature extraction, as it has outperformed other techniques. The proposed approach enhances its performance by optimizing its parameters. The independent component analysis (ICA) method is used for detection and removal of irrelevant data, while linear discriminant analysis (LDA) is used as a classifier. The proposed approach is executed on benchmark data-set 2a of BCI competition IV. It yielded classification accuracy of 70.6% across nine subjects, which is higher than all the reported approaches.
Variasi Konsentrasi Kitosan Dan Lama Pengadukan Terhadap Efektivitas Penyerapan Amoniak
Authors: Oktavia Nadya , Supriyantini Endang , Ridlo Ali 
Published: May 2022

Tumpahan minyak mentah di laut akan menimbulkan pencemaran karena memiliki kadar pencemar, salah satunya adalah amoniak. Kitosan merupakan biopolimer alami yang memiliki gugus aktif amina dan hidroksil yang dapat dibentuk sebagai adsorben amonia. Tujuan dari penelitian ini adalah untuk mengetahui efektivitas kitosan dalam menyerap amoniak dengan air tercemar minyak mentah di sungai Karawang. Cairan kitosan yang digunakan terdiri dari (kontrol, 0%); (A) 0,3%; (B) 0,6%; (C) 0,9%; (D) 1,2%. Variasi waktu pengadukan yang digunakan adalah 30 menit dan 60 menit dengan kecepatan pengadukan 200 rpm dengan 3 kali pengulangan. Hasil penelitian menunjukkan bahwa perlakuan dengan variasi konsentrasi kitosan tersebut dapat meningkatkan daya serap kadar amoniak. Penyerapan tertinggi pada waktu pengadukan 30 menit terdapat pada konsentrasi kitosan 0,3% yaitu sebesar 8,709 mg/L dengan daya serap 92, 293 %, dan penyerapan tertinggi pada waktu pengadukan 60 menit terdapat pada konsentrasi kitosan 0,3% yaitu sebesar 8,735 mg/L dengan daya serap 92,566%. Konsentrasi kitosan dan variasi waktu pengadukan yang digunakan dalam penelitian ini berpengaruh nyata terhadap kapasitas dan daya serap terhadap amoniak. The spills of crude oil on the ocean will cause pollution because it has pollutant levels, one of them is ammonia. Chitosan is a natural biopolymer which has got active group of amine and hydroxyl , they can be formed as ammonia adsorbents. The purpose of this research is to find out the effectiveness of chitosan in absorbing the ammonia with crude oil contamined water in Karawang river. The liquid of chitosan which is used consists of (Control, 0%); (A) 0.3%; (B) 0.6%; (C) 0.9%; (D) 1.2%. The variation of Stirring time that is used was 30 minutes and 60 minutes with a stirring speed of 200 rpm with 3 repetitions. The results showed that the treatment with those variation in the concentration of chitosan can increase the absorption capacity of ammonia levels. The highest absorption at the stirring time of 30 minutes was found at the concentration of 0,3 %,which was 8,709 mg/L with an absorption capacity of 92,293 %, while the highest absorption at the stirring time of 60 minutes was found at the concentration of 0.3% chitosan which was 8,735 mg/L with 92,566 % absorption. The concentration of chitosan and the variation of stirring time used in this study significantly affected the capacity and absorption of ammonia.
Analisis Tinggi Gelombang Signifikan Berdasarkan Model Wavewatch-III di Pantai Alau-Alau, Kalianda, Lampung Selatan
Authors: Putri Annisa Agustina Kurnia , Diansyah Gusti , Putri Wike Ayu Eka 
Published: May 2022

Perairan Pantai Alau-Alau merupakan daerah pesisir yang dimanfaatkan sebagai kegiatan pariwisata dan juga kegiatan perikanan seperti bagan perahu. Peramalan tinggi gelombang sangat berguna untuk menghindari kejadian kecelakaan kapal ataupun hantaman ombak besar di sekitar kawasan pantai. Tujuan dari penelitian ini adalah untuk menganalisis tinggi gelombang signifikan di wilayah Pantai Alau-Alau, Kalianda, Lampung Selatan dan menganalisis tingkat akurasi model Wavewatch-III BMKG (Badan Meteorologi Klimatologi dan Geofisika) dengan data lapangan. Data dari Model Wavewatch-III divisualisasi menggunakan software GrADS, lalu dibandingkan dengan data pengukuran lapangan yang dilaksanakan selama 7 hari (20-26 November 2019). RMSE (Root Mean Square Error) digunakan untuk melihat akurasi dari model tersebut. Hasil penelitian pengukuran lapangan menunjukkan tinggi gelombang signifikan di Pantai Alau-Alau berkisar 0,082-0,405 meter. Hasil tinggi gelombang signifikan hasil model Wavewatch-III berkisar 0,027–0,118 meter. Hasil nilai RMSE model Wavewatch-III terhadap data lapangan sebesar 0,28. Alau-Alau Beach is a coastal area that used for tourism and fishery such as boat lift net. The forecast of wave height is very useful to avoid hitting big waves around coastal areas. The aims of this study are to analyze the significant wave height in the Alau-Alau Beach area, Kalianda, South Lampung and to analyze the accuracy of the Wavewatch-III BMKG (Climatology and Geophysics Meteorological Agency) with field data. Data of Wavewatch-III Model was visualized by using GrADS software, then compared it with field measurement data that was carried out for 7 days (20-26 November 2019). RMSE (Root Mean Square Error) was used in seing the accuracy of the model. The results from the field measurement showed that significant wave heights at Alau-Alau Beach ranged from 0.082 to 0.405 meters. The significant wave height from the Wavewatch-III model ranged from 0.027 to 0.118 meters. The results from the RMSE Wavewatch-III model on field data was 0.28.
Status Cemaran Logam Berat di Sedimen Muara Sungai Musi Sumatera Selatan
Authors: Putri Wike Ayu Eka , Susanti Mei Ida , Rozirwan Rozirwan , Hendri M. , Agustriani Fitri 
Published: May 2022

Muara Sungai Musi merupakan perairan yang dipengaruhi oleh berbagai macam aktivitas manusia yang terdapat di sepanjang aliran Sungai Musi dan Sungai Telang serta kawasan muara itu sendiri. Ragam aktivitas ini berpotensi menimbulkan pencemaran di lingkungan perairan salah satunya adalah pencemaran logam berat. Tujuan penelitian ini adalah menganalis tingkat pencemaran logam berat Pb, Cu dan Zn di sekitar Muara Sungai Musi. Penelitian ini dilakukan pada bulan Agustus 2020, pengambilan sampel sedimen dilakukan pada enam titik stasiun dengan menggunakan metode purposive sampling. Konsentrasi logam berat dianalisis menggunakan Atomic Absorption Spectroscopy (AAS) merujuk pada SNI No. 06-6992.5-2004 untuk logam Cu, SNI No. 06-6992.3-2004 untuk logam Pb dan SNI No. 06-6992.8-2004 untuk logam Zn. Hasil penelitian menunjukkan bahwa konsentrasi rata-rata logam berat di sedimen Muara Sungai Musi berkisar antara 2,673 - 12,517 µg/g Pb, 1,927 - 5,9 µg/g Cu, 25,257 - 54,43 µg/g Zn. Kualitas sedimen dalam kategori baik dan aman bagi kehidupan biota di ingkungan Muara Sungai Musi karena rendahnya kontaminasi logam berat (Pb, Cu, Zn). Tingkat pencemaran logam berat Pb, Cu dan Zn di Perairan Muara Sungai Musi dalam kategori rendah dan tidak tercemar (I_geo<0), terkontaminasi rendah sampai sedang (Cf<1 sampai 1<Cf<3), serta tidak tercemar (PLI<1). Musi River Estuary is waters that are influenced by various kinds of human activities originating from settlements, Musi River, Telang River and Bangka Strait causing pollution in the aquatic environment including heavy metal pollution. The purpose of this study was to analyze the level of heavy metal pollution Pb, Cu and Zn around the mouth of the Musi River. This research was conducted in August 2020 and sediment sampling was carried out at six stations using a purposive sampling method. Heavy metal concentrations were analyzed using Atomic Absorption Spectroscopy (AAS) refer to SNI No. 06-6992.5-2004 for Cu, SNI No. 06-6992.3-2004 for Pb and SNI No. 06-6992.8-2004 for Zn.. The results showed that the average concentration of heavy metals ranged from 2,873 – 12,51 µg/g Pb, 1,927 - 5,9 µg/g Cu, 25,257 - 54,43 µg/g Zn. The quality of the sediment is in the good and safe category because of the low contamination of heavy metals (Pb, Cu, Zn) for the life of biota in the Musi River Estuary Environment. The level of heavy metal pollution Pb, Cu and Zn in the Musi River Estuary is in the low category and not polluted (I_geo<0), low to moderate contamination (Cf<1 to 1<Cf<3), and not polluted (PLI<1).
Die Kund*innen im Mittelpunkt
Authors: Büchel Claudia 
Published: May 2022

Zusammenfassung
Eine Gruppe Öffentlicher Bibliotheken in Nordrhein-Westfalen tat sich 2001 unter Leitung der Staatlichen Fachstellen zusammen, um sich intensiv mit dem Thema Qualitätsmanagement zu beschäftigen. 2006 erfolgte die Erstzertifizierung durch den TÜV-Süd nach ISO 9001. Der Verbund ist zwar deutlich geschrumpft, doch zwei der Erstgründerbibliotheken sind weiterhin aktiv und ISO-zertifiziert und können sich einen Alltag ohne ein Qualitätsmanagement-System nicht mehr vorstellen.
„Nicht nur Bücher haben ihre Schicksale, sondern auch ihre Leser“
Authors: Kummer Stephan 
Published: May 2022

Zusammenfassung
Der Aufsatz skizziert das Provenienzforschungsprojekt in den judaistischen Altbeständen der Universitätsbibliothek der Freien Universität Berlin, das im November 2021 begonnen hat. Ziel des Projekts ist es, die Provenienzspuren zu identifizieren, zu dokumentieren, die Wege der Bücher und das Schicksal ihrer Leserschaft zu erforschen. Neben einer Genese über die Gründung und Etablierung des Instituts für Judaistik widmet sich der Hauptteil des Beitrages dem Workflow. Für die Präsentation des Arbeitsalltages dienen zwei ausgewählte und abgeschlossene Fallbeispiele aus der Projektarbeit.
Retrokonversionsprojekt von 35.000 Zettelkarten der Musikbibliothek der Leipziger Städtischen Bibliotheken
Authors: Aring Annalena , Müller Jane , Wallwitz Sebastian 
Published: May 2022

Zusammenfassung
Im Rahmen der Erfassung des Kunst- und Kulturguts der Stadt Leipzig wurden im Jahr 2021 insgesamt 35.000 Zettelkarten der Leipziger Städtischen Bibliotheken digitalisiert und im Metadatenformat MARC-XML in das Bibliotheksmanagementsystem importiert. Das Retrokonversionsprojekt startete mit einer umfangreichen Testphase und anschließender effizienter Projektarbeit, um das Ziel zu erreichen, die musikspezifischen historischen Bestände der Bibliothek online zu verzeichnen. In dem Projekt wirkten die Sachgebiete Musikbibliothek/Sondersammlungen, Katalogisierung sowie Digitales und IT zusammen mit Dienstleistern aus Leipzig und Vietnam.
The effect of advocacy education of nursing students on attitudes towards disability: a quasi-experimental study
Authors: Demirören Nesime , Su Serpil , Basit Gülden 
Published: May 2022

Abstract

Objectives
To determine the effect of advocacy education on the attitude of nursing students towards persons with disabilities.

Methods
This study is a one-group pretest-posttest design: a quasi-experimental study. The study population consisted of 38 students who were enrolled in the advocacy course in the final year of nursing school in a public university. A ten-week Disability Advocacy Education Program was implemented. Data was collected using the Data Sheet and Multidimensional Attitudes Scale Toward Persons with Disabilities.

Results
Male students were found to have higher mean scores after the education; there was no statistically significant difference for other variables such as family structure, place of residence, and whether they have received education on disabilities.

Conclusions
Nursing students have a positive attitude towards people with disabilities, and that male students’ attitudes improved after education.

Implications for International Audience
Advocacy education provided to students help them develop a positive attitude towards people with disabilities.
Crystal structure of the double salt bis(5-amino-1,2,4-triazol-4-ium-3-yl)methane hydrogen oxalate hemioxalate, C8H11N8O6
Authors: Zhang Guo-tao , Wang Hua , Li Hong-ya , Yan Biao 
Published: May 2022

Abstract
C8H11N8O6, monoclinic, P21/n (no. 14), a = 5.6348(8) Å, b = 19.485(3) Å, c = 11.5316(17) Å, β = 101.013(2)°, V = 1242.8(3) Å3, Z = 4, R
gt(F) = 0.0396, wR
ref(F
2) = 0.1039, T = 296(2) K.
Dynamic characterization of the magnetomechanical properties of off axis anisotropic magnetorheological elastomer
Authors: Walid Bendjeddou , Salah Aguib , Noureddine Chikh , Abdelkader Nour , Toufik Djedid , Lallia Kobzili , Mounir Meloussi 
Published: May 2022

Abstract
The use of magnetorheological elastomers in the mechanical and acoustic fields, by the automotive, aeronautical, and building industries, is currently developing strongly and rapidly. The perfect understanding of the capacity of smart insulation based on the absorption of the vibratory waves by magnetorheological elastomers materials passes by the knowledge of their dynamic mechanical behavior. In this present work, we have characterized the dynamic mechanical properties of the magnetorheological elastomer off axes anisotropy by the inclination, of different angles (15°, 30°, and 45°), of the pseudo-fibers of the iron particles formed by the application of a magnetic field at different intensities using an optimal loading rate of 30%. The rubber specimens were prepared by mixing micron-sized iron particles dispersed in room temperature vulcanized (RTV) silicone rubber by solution mixing. The experimental results obtained show a clear dependence of the effect of inclusion of ferromagnetic chains on the magnetomechanical properties. It is observed that the mechanical properties are better when applying a magnetic field of 0.6 T with an angle of inclination of 45°. The improvements added in this work could be useful in several industrial applications, such as automotive, aeronautic through adaptive control of damping and vibration level.
Asymptotic behavior of solutions to the three-dimensional stochastic Leray-α model
Authors: Thanh Nguyen Van , Tuan Tran Quoc 
Published: May 2022

Abstract
We consider the three-dimensional stochastic Leray-α model with homogeneous Dirichlet boundary conditions and infinite-dimensional Wiener process. We first study the mean square and pathwise exponential stability of a stationary solution to the model. Then we show that one can stabilize an unstable stationary solution by using a multiplicative Itô noise of sufficient intensity or a linear internal feedback control with support large enough.
Bayesian Switching Volatility Models for Analysing Stock Returns in Ghana
Authors: Akurugu Edward , Angbing Irene Dekomwine , Nasiru Suleman , Abubakari Abdul Ghaniyyu 
Published: May 2022

Abstract
The goal of this research was to use Bayesian switching volatility models to model the stock returns of the GCB, bank in Ghana. Monthly stock prices of GCB bank for the period of 138 months were used for the study. The two-state Markov-Switching GARCH models were used in the study to determine the best model for modelling and forecasting the stock returns. The Deviance Information Criteria was considered when selecting the best model. Based on the Deviance Information Criteria, E-GARCH variance specification with skewed student-t innovation was shown to be appropriate for modelling the stock returns. The estimates of the best model showed the first regime to exhibit the features of “turbulent market conditions” while the second regime exhibits “tranquil market conditions”. The risk analysis finds the best model to generally perform better in estimating both Value-at-Risk and Expected Shortfall at 1% rather than 5%. The study advises investors to invest in GCB bank because of the high returns connected with the stock and the fact that when “turbulent market conditions” arise, the recovery rate for these stocks is faster.
Interfacial catalytic materials; challenge for inorganic synthetic chemistry
Authors: Schlögl Robert 
Published: May 2022

Abstract
Interfacial catalysts are indispensable functional materials in the energy transformation. The traditional empirical search strategies reach their potential. Knowledge-based approaches have not been able to deliver innovative and scalable solutions. Following a short analysis of the origin of these shortcomings a fresh attempt on the material challenge of catalysis is proposed. The approach combines functional understanding of material dynamics derived from operando analysis with digital catalysis science guiding the exploration of non-linear interactions of material genes to catalytic functions. This critically requires the ingenuity of the synthetic inorganic chemist to let us understand the reactivity of well-defined materials under the specific conditions of catalytic operation. It is the understanding of how the kinetics of phase changes brings about and destroys active sites in catalytic materials that forms the basis of realistic material concepts. A rigorous prediction and engineering of these processes may not be possible due to the complexity of options involved.
Machine Learning Approach to Predicting Absence of Serious Bacterial Infection at PICU Admission
Authors: Martin Blake , DeWitt Peter E. , Scott Halden F. , Parker Sarah , Bennett Tellen D. 
Published: May 2022

BACKGROUND AND OBJECTIVES
Serious bacterial infection (SBI) is common in the PICU. Antibiotics can mitigate associated morbidity and mortality but have associated adverse effects. Our objective is to develop machine learning models able to identify SBI-negative children and reduce unnecessary antibiotics.

METHODS
We developed models to predict SBI-negative status at PICU admission using vital sign, laboratory, and demographic variables. Children 3-months to 18-years-old admitted to our PICU, between 2011 and 2020, were included if evaluated for infection within 24-hours, stratified by documented antibiotic exposure in the 48-hours prior. Area under the receiver operating characteristic curve (AUROC) was the primary model accuracy measure; secondarily, we calculated the number of SBI-negative children subsequently provided antibiotics in the PICU identified as low-risk by each model.

RESULTS
A total of 15 074 children met inclusion criteria; 4788 (32%) received antibiotics before PICU admission. Of these antibiotic-exposed patients, 2325 of 4788 (49%) had an SBI. Of the 10 286 antibiotic-unexposed patients, 2356 of 10 286 (23%) had an SBI. In antibiotic-exposed children, a radial support vector machine model had the highest AUROC (0.80) for evaluating SBI, identifying 48 of 442 (11%) SBI-negative children provided antibiotics in the PICU who could have been spared a median 3.7 (interquartile range 0.9–9.0) antibiotic-days per patient. In antibiotic-unexposed children, a random forest model performed best, but was less accurate overall (AUROC 0.76), identifying 33 of 469 (7%) SBI-negative children provided antibiotics in the PICU who could have been spared 1.1 (interquartile range 0.9–3.7) antibiotic-days per patient.

CONCLUSIONS
Among children who received antibiotics before PICU admission, machine learning models can identify children at low risk of SBI and potentially reduce antibiotic exposure.
Safe Sleep Behaviors and Factors Associated With Infant Second Sleep Practices
Authors: Bryan Mersine A. , Florence Alexis , Gower Aubrey D. , Evans Yolanda N. , Moreno Megan A. 
Published: May 2022

OBJECTIVES
To examine the prevalence and safety of infant second-sleep practices.

METHODS
A cross-sectional online survey of parents with infants ≤12 months assessed parent-reported sleep practices: position, use of a separate sleep surface, and sleep location at 2 time points (sleep onset and after nighttime waking). A composite score examined if all 3 safe sleep practices were used at each time point. Safe sleep was defined as: supine position, sleeping in a separate space, and in a crib, bassinet, cradle, or playard. Wilcoxon sign rank test was used to examine changes between the time points. Poisson regression models compared parents who reported a second-sleep location with those who did not.

RESULTS
Of participants (n = 1500), 74% were female, 65% were White, 12% were Black, and 17% were of Hispanic ethnicity. Thirty-nine percent (n = 581) reported a second-sleep practice. Of parents who reported a second-sleep practice, 28% (n = 137) met all 3 safe sleep criteria at sleep onset; 9% (n = 42) met all 3 safe sleep criteria at both time points. A higher proportion of changes in sleep practices were to less-safe practices (P &lt;.001). Factors associated with a second-sleep practice were parental age &lt;25 years, parental race and ethnicity, first-time parents, homes with smoke exposure, and infants born at &lt;37 weeks.

CONCLUSIONS
Less than 10% of infants met all 3 safe sleep criteria at sleep onset and after nighttime waking. Interventions focused on safe sleep should highlight the importance of safe sleep practices after nighttime waking.