bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-Core Optical Fiber with Stepped Single-Mode Cores. Part 1. Insulation with Solid Clads
Authors: Bylina M. , Gultyaeva L. 
Published: January 2023

An optical fiber with several unrelated cores inside a common clad (multi-core fiber) is used to increase the capacity of linear paths of communication systems. The number of cores in one fiber is limited by mutual influences between them, to reduce which various design solutions are used. The aim of the work is to compare various multicore fibers and identify structures that allow placing the largest number of cores in a common shell with a standard diameter of 125 microns. In the first part of this paper, modeling of single-mode fibers with cores isolated by additional solid shells is carried out. As a result of modeling, the characteristics of the fundamental modes of the cores of each fiber are calculated – the distribution of the electric field strength, chromatic dispersion and the diameter of the field of the fundamental mode, a technique is proposed and an assessment of mutual influences is carried out, the maximum possible number of cores is determined. It is shown that the insulating clad reduces mutual influences and allows increasing the number of cores by reducing the distance between them.
Impact of sociodemographic characteristics and drug-related side effects on quality of life of patients with hepatocellular carcinoma receiving sorafenib treatment in Iraqi hospitals
Authors: H. Qasim Tuqa , J. Ibraheem Mazin , Jabarah Mohammed Abdul- Hassan 
Published: January 2023

Background: Sorafenib is an oral multikinase inhibitor which has been given approval by the United States Food and Drug Administration for the treatment of patients diagnosed with hepatocellular carcinoma and advanced renal cell carcinoma . However, measuring quality of life and patient-reported symptoms may provide further information for evaluating and comparing treatment efficacy and toxicity profiles during cancer treatment. Despite the critical importance of patients' quality of life while receiving anticancer treatment, neither Iraqi patients undergoing anti-cancer medications in general nor those receiving Sorafenib in particular had any published data evaluating this important parameter.
Objectives: The study aimed to assess the quality of life of Sorafenib-treated Iraqi patients diagnosed with hepatocellular carcinoma.
Methods: A prospective, cross-sectional study was performed at the oncology clinic of (Oncology Teaching Hospital, Al-Amal Hospital and Al -Imamein Al- Kadhimein Medical City in Baghdad, Iraq) during the period from November 2021 to July 2022. Patients were enrolled in current study by using a convenient sampling method. Assessment of quality of life was performed using a questionnaire from the “European Organization for Research and Treatment of Cancer”. Statistical analyses were performed using statistical package for Social Sciences. Student’s t-test and ANOVA test were used to compare categorical data. P value of <0.05 was considered statistically significant.
Results: The present study included 52 patients in total. Of the latter, 90.4% experienced fatigue, making it the most frequent adverse event, followed by anorexia, anemia, nausea, diarrhea and vomiting (71.2%, 67.3%, 65.4%, 59.6%, 26.9%, respectively). In spite of that, some participants had a good quality of life while others did not.
Conclusion: Patients with hepatocellular carcinoma on sorafenib treatment have variable quality of the life. The latter is significantly affected by patients’ sociodemographic characteristics and treatment-related adverse events.
Deep Learning Algorithm of 12-Lead Electrocardiogram for Parkinson Disease Screening
Authors: Yoo Hakje , Chung Se Hwa , Lee Chan-Nyoung , Joo Hyung Joon 
Published: January 2023

Background: Although idiopathic Parkinson’s disease (IPD) is increasing with the aging population, there is no adequate screening test for early diagnosis of IPD. Cardiac autonomic dysfunction begins in the early stages of IPD, and an electrocardiogram (ECG) contains precise information on the heart. Objective: This study is to develop an ECG deep learning algorithm that can efficiently screen for IPD. Methods: Data were collected from 751 IPD patients (2,138 ECGs), 751 age and sex-matched non-IPD patients (2,673 ECGs) as a control group, and 297 drug-induced Parkinsonism (DPD) patients (875 ECGs) as a disease control group. ECG data were randomly divided into training set, validation set, and test set at a ratio of 6:2:2. We developed a deep-convolutional neural network (CNN) consisting of 16 layers with Bayesian optimization that classified IPD patients by ECG data. The robustness of the deep learning model was verified through 5-fold cross-validation. Results: The AUROC of the model for detection of IPD was 0.924 (95% CI, 0.913–0.936) in the test set. That for detecting DPD was 0.473 (95% CI, 0.453–0.504). The sensitivities of the model according to Unified Parkinson’s Disease Rating Scale III and Hoehn & Yahr scale were also similar. Conclusion: In conclusion, the CNN-based deep learning model using ECG data showed quite good performance in identifying IPD patients. Standardized 12-lead ECG test could be one of the clinically feasible candidate methods for early screening of IPD in the future.
Comparative Evaluation of Antimicrobial Efficacy of Aloe Barbadensis Miller, Curcuma Longa and Azadirachta Indica with Sodium Hypochlorite: An Invitro Study
Authors: James Dr. Vandana , Balagopal Dr.Sundaresan. , Charanya Dr.C. , .L Marshal , S Nandhini. 
Published: January 2023

Context: The thorough removal of microflora, debris, and irritants from the root canal system is necessary for root canal treatment to be effective. Herbal or natural products are becoming more popular recently as a result of their strong antibacterial activity, biocompatibility, anti-inflammatory, and anti-oxidant properties
Aims: To compare and evaluate antimicrobial efficacy of herbal extracts Aloe barbadensis miller, Curcuma longa and Azadirachta indica with 2.5% sodium hypochlorite against the Enterococcus faecalis .
Settings and Design: Forty muller Hinton agar plates were taken as sample and were grouped into 4 groups as Group I: 2.5% NaOCl ,Group II: Curcuma longa extract ,Group III: Azadirachta indica extract, Group IV: Aloe barbadensis miller.
Methods and Material: The agar plates were inoculated with strains of E.faecalis (ATCC29212) and test solutions were placed in agar wells in group 1-4. The agar plates were incubated at 37 0C for 72 hours. After incubating, the agar plates were examined for zone of inhibition for assessing the degree of susceptible or resistance of test organism.
Statistical analysis used: Statistical analysis was performed using Oneway Anova test with statistical significance at P < 0.05.
Results: It was shown that Curcuma longa was highly efficient similar to 2.5%NaOCl
Conclusions: Curcuma longa extract has a significant antimicrobial efficacy against Enterococcus faecalis similar to 2.5% sodium hypochlorite
Key Messages: Herbal irrigants are best alternative to gold standard chemical endodontic irrigants. With their increase in antimicrobial properties, they aid in complete removal of endodontic microorganisms.
PENINGKATAN HASIL BELAJAR SISWA IPS MATERI KETERGANTUNGAN ANTAR RUANG DI LIHAT DARI KONSEP EKONOMI DAN PENGARUHNYA TERHADAP KESEJAHTRAAN MASYARAKAT MELALUI MODEL QUANTUM TEACHING DI KELAS IX SMP NEGERI 2 MUARA TEWEH TAHUN PELAJARAN 2021/2022
Authors: Rusdiana Rusdiana 
Published: January 2023

Dalam hasil pengamatan, pada mapel IPS khususnya materi ketergantungan antar ruang di lihat dari konsep ekonomi dan pengaruhnya terhadap kesejahtraan masyarakat, siswa Kelas IX SMP Negeri 2 Muara Teweh menunjukkan hasil belajar yang rendah, hal ini di tunjukkan adanya nilai harian yang rendah atau tidak mencapai KKM. Oleh karenanya disini, guru berinisiatif menggunakan model pembelajaran yang tidak biasa di pakai di kelas, yakni menggunakan Model Quantum Teaching.
Penelitian tindakan kelas ini dilakukan di SMP Negeri 2 Muara Teweh, Pendekatan Penelitian ini menggunakan pendekatan kualitatif kuantitatif. Rancangan penelitian metode campuran. sedangkan sampel penelitian ini adalah siswa Kelas IX SMP Negeri 2 Muara Teweh. Teknik Pengumpulan data terdiri dari teknik tes dan non tes.
Pada Pra siklus jumlah siswa tuntas belajar hanya mencapai 9 siswa dan skor hasil observasi hanya mencapai 48 Aktifitas siswa di dalam kelas kurang baik. Pada siklus I Jumlah Siswa Tuntas Belajar mencapai 21 siswa, nilai rata-rata mencapai 77,22 Artinya Model Quantum Teaching efektif di gunakan untuk meningkatkan hasil belajar siswa.
Hasil observasi menunjukkan skor 111 Artinya Aktifitas siswa di dalam kelas cukup baik. Akan tetapi agar lebih kondusif lagi, maka peneliti hendak melaksanakan siklus II. Pada siklus II Jumlah Siswa Tuntas Belajar mencapai 32 siswa, nilai rata-rata mencapai 82,5. Artinya Model Quantum Teaching efektif di gunakan untuk meningkatkan hasil belajar siswa pada materi Ketergantungan antar ruang di lihat dari konsep ekonomi dan pengaruhnya terhadap kesejahtraan masyarakat. Hasil observasi menunjukkan skor 144 Artinya Aktifitas siswa di dalam kelas sangat baik.
ANALISIS PELAKSANAAN PEMBELAJARAN BERBASIS BLENDED LEARNING PADA MATA PELAJARAN IPS
Authors: Jailani Muhammad , Fauziah Siti 
Published: January 2023

Penelitian ini bertujuan untuk mengetahui pelaksanaan pembelajaran berbasis blended learning pada mata pelajaran IPS dikelas VIII di SMP Mhammadiyah Palangka Raya. Penelitian ini terdiri tas dua subfokus yaitu pelaksanaan pembelajaran berbasis blended learning dan penerapan blended learning tersebut pada mata pelajaran IPS.
Penelitian ini menggunakan pendekatan kualitatif dengan menggunakan metode deskriptif kualitatif. Teknik pengumpulan data yang digunakan adalah teknik observasi, wawancara dan dokumentasi. Informan dalam penelitian ini berjumlah 11 orang terdiri dari 1 orang guru mata pelajaran IPS, dan 10 peserta didik.
Hasil penelitian menunjukan bahwa: (1) pelaksanaan pembelajaran pada masa pandemi seperti ini sudah diterapkan oleh sekolah dan dinilai efektif oleh guru dan juga peserta didik. (2) peserta didik lebih tertarik dengan pembelajaran blended learning dibandingkan dengan pembelajaran E-learning. (3) banyak manfaat yang didapatkan peserta didik pada saat pelaksanaan pembelajaran blended learning.
Rethinking the Basic Police Training Policy in Bosnia and Herzegovina
Authors: Sikimić Milica 
Published: January 2023

Abstract
Several terrorist attacks have occurred in Bosnia and Herzegovina in the 21st century, and all the security agencies in the country are dealing with the prevention and counteraction of terrorism. Training of police officers is conducted in three different training centres, and law enforcement officers have an average of 25 working weeks of basic police training. The main goal of this paper is to examine the representation of the topics of prevention and counterterrorism in the curricula of basic/entry police training conducted in Bosnia and Herzegovina (BIH). The results obtained revealed that it is possible for a police officer (policeman) or criminal inspector to not have had a single lesson on the topic of terrorism during their training.
Revistas ‘Open Access’ sobre comunicación. Un mapa mundial
Authors: López del Castillo Wilderbeek Francisco Leslie 
Published: January 2023

La publicación en acceso abierto ha demostrado ser un espacio muy beneficioso para todos los actores involucrados en el mundo académico. Sin embargo, persisten opiniones encontradas sobre si en la práctica hay diferencias sobre su posición con respecto las revistas en que se paga por la consulta. Esta investigación se ha propuesto analizar la configuración de las revistas académicas sobre comunicación observando los datos del índice Scimago Journal Rank (SJR) sobre la base de datos Scopus . Concretamente se han intentado encontrar diferencias o similitudes entre las revistas que son de acceso abierto y aquellas que no lo son. Los resultados obtenidos señalan que las revistas de acceso abierto sobre comunicación obtienen una citación y resultados inferiores en los indicadores de calidad. Por otro lado, han permitido relativizar la máxima según la cual los países con menores ingresos económicos apuestan en mayor medida por el modelo de publicación en acceso abierto.
Simposio de la Viruela del Mono (Mpox)
Authors: Maguiña-Vargas Ciro 
Published: January 2023

Agradezco al Comité Editorial de la Revista “Diagnóstico” por la invitación a desarrollar un importante simposio sobre una nueva enfermedad infecciosa, la viruela del mono (VM), que en pocos meses desde su aparición, en mayo 2022, ya ha sido declarada por la Organización Mundial de la Salud (OMS) como una emergencia sanitaria mundial.
Towards commercialization of fluorinated cation-disordered rock-salt Li-ion cathodes
Authors: Lee Gi-Hyeok , Lim Jungwoo , Shin Jeongyim , Hardwick Laurence J. , Yang Wanli 
Published: January 2023

Cation-disordered rock-salt cathodes (DRX) are promising materials that could deliver high capacities (&gt;250 mAh g−1) with Earth abundant elements and materials. However, their electrochemical performances, other than the capacity, should be improved to be competitive cathodes, and many strategies have been introduced to enhance DRXs. Fluorination has been shown to inhibit oxygen loss and increase power density. Nevertheless, fluorinated cation-disordered rock-salts still suffer from rapid material deterioration and low scalability which limit their practical applications. This mini-review highlights the key challenges for the commercialization of fluorinated cation-disordered rock-salts, discusses the underlying reasons behind material failure and proposes future development directions.
Effects of Qi-Fu-Yin on aging of APP/PS1 transgenic mice by regulating the intestinal microbiome
Authors: Xiao Qiu-yue , Ye Tian-yuan , Wang Xiao-long , Qi Dong-mei , Cheng Xiao-rui 
Published: January 2023

IntroductionAlzheimer’s disease is the most common form of dementia and closely related to aging. Qi-Fu-Yin is widely used to treat dementia, but its anti-aging effects is unknown.MethodsWe used 11-month-old APP/PS1 transgenic mice for behavioral tests to observe the changes in cognitive function and age-related symptoms after Qi-Fu-Yin treatment. Fecal samples were collected for 16sRNA sequencing and metagenomic sequencing. Differences among the groups of intestinal microbiota and the associations with aging and intestinal microbiota were analyzed based on the results.ResultsHere we found that Qi-Fu-Yin improved the ability of motor coordination, raised survival rate and prolonged the survival days under cold stress stimulation in aged APP/ PS1 transgenic mice. Our data from 16sRNA and metagenomic sequencing showed that at the Family level, the intestinal microbiota was significantly different among wild-type mice, APP/PS1 transgenic mice and the Qi-Fu-Yin group by PCA analysis. Importantly, Qi-Fu-Yin improved the functional diversity of the major KEGG pathways, carbohydrate-active enzymes, and major virulence factors in the intestinal flora of APP/PS1 transgenic mice. Among them, the functions of eight carbohydrate-active enzymes (GT2_Glycos_transf_2, GT4, GT41, GH2, CE1, CE10, CE3, and GH24) and the functions of top three virulence factors (defensive virulence factors, offensive virulence factors and nonspecific virulence factors) were significantly and positively correlated with the level of grasping ability. We further indicated that the Qi-Fu-Yin significantly reduced the plasma levels of IL-6.ConclusionOur results indicated that the effects of Qi-Fu-Yin anti-aging of APP/PS1 transgenic mice might be through the regulation of intestinal flora diversity, species richness and the function of major active enzymes.
Estimating the tropical cyclone wind structure using physics-incorporated networks
Authors: Yuan Shijin , You Qianhu , Mu Bin , Qin Bo , Xu Jing 
Published: January 2023

Satellite-based remote sensing technology plays a significant role in identifying tropical cyclones (TCs), and most of the current research focuses on intensity estimation. However, analyzing the wind structure of TCs, which is directly related to the danger they bring, remains a challenge. By adding prior knowledge of TCs into the model, we propose a physics-incorporated network based on multi-task learning to estimate wind radii and intensity, whose layers can automatically extract rotation-invariant features related to the TC core from multichannel satellite imageries. In addition, we build a more comprehensive dataset, including global Statistical Hurricane Intensity Prediction Scheme (SHIPS) predictors, to tackle the structure task. We compare our model with existing methods, and it shows that our model gets better results in estimating 50-knot and 64-knot wind radii and achieves a 4.87-knot root-mean-squared error (RMSE) of intensity. By predicting probability density functions, our model quantifies the uncertainty of the result. The experimental results show that the incorporation of rotation equivariance into the layers can enhance TC structure estimation. By considering the feature importance of multi-source predictors, we find that our model pays attention to key predictors related to the TC structure. Specifically, the tangential wind speed at 500 km from the TC center and the radius of the 5-knot wind both greatly reduce the error of the estimated parameters. Finally, two case studies show that the proposed model performs well most of the time during TCs’ rapid intensification. However, when TCs’ system is not well organized, estimating the wind structure is challenging.
Dynamic optimization of open-pit coal mine production scheduling based on ARIMA and fuzzy structured element
Authors: Liu Guangwei , Guo Weiqiang , Fu Ensan , Yang Chuanda , Li Jiaming 
Published: January 2023

A dynamic optimization method was created to address the production schedule issue in an open-pit coal mine while taking into account the characteristics of the fuzzy structured element. The fuzzy mining capacities of all “geologically optimal push-back bodies” were then examined using the moving cove method. One of the most crucial elements in the process of open-pit coal mine production scheduling optimization is coal pricing. As a result, this work also presents a dynamic optimization technique for production scheduling that incorporates the prediction of economic time series and the generation of dynamic economic indices. An appropriate time series model is created to forecast the future coal price based on previous data on coal prices. The prediction results are used in the calculation of optimal mining body generation to dynamically obtain the optimal production scheduling model. The Baorixile Open-pit Coal Mine in China’s Inner Mongolia Autonomous Region is using this method. The Autoregressive Integrated Moving Average Model ARIMA is constructed to anticipate the coal price in the future 23 years by evaluating and processing the coal price from 2009 to 2022, and the ideal production scheduling scheme of the mine economics is afterwards identified. The ideal fuzzy coal mining volume, the potential production life, and the fuzzy total net present value (NPV) of the annual production scheduling are all provided at the same time. The optimization findings can better give fundamental support for mine design and future production since the fuzzy problem is accurately expressed by correct formulations.
Late Paleozoic tectonics of Southern Central Asian orogenic belt: Evidence from magmatic rocks in the northern Alxa, Northwest China
Authors: Wang Er-Teng , Zhai Xin-Wei , Chen Wan-Feng , Ma Zhen , Wu Lei , Guo Zhi-Ang , Wang Yun , Song Gao-Rui , Wang Jin-Rong 
Published: January 2023

Late Paleozoic magmatic rock outcrops are common in the Northern Alxa, Southern Central Asian Orogenic Belt (CAOB), which is a key area for understanding tectonic processes and defining the final closure time of the Paleo-Asian Ocean (PAO). We present zircon U‒Pb chronology and whole-rock geochemistry data for late Paleozoic magmatic rocks from the Yagan area of northern Alxa. This paper reveals two periods of magmatism: syenogranite (374.8 Ma) and bimodal intrusive rocks, which consist of gabbro (261.4 Ma), diabase (262.9 Ma) and biotite monzogranite (263.4 Ma). The syenogranite is high-K calc-alkaline and shows enrichments in Th, Zr, Hf and LREEs; depletions in Sr, Nb, Ta, and Ti; and low Mg# values (6.9–13.2); the syenogranite was derived from partial melting of the crust and has volcanic arc characteristics. The gabbro and diabase have similar geochemical characteristics, such as enrichments in Pb, Rb, Sr, Zr, and Hf and depletions in Nb, Ta, and Ti, with positive εHf(t) values (+0.9–+2.7 and +2.6–+3.6, respectively), indicating that they originated from partial melting of depleted mantle and experienced crustal contamination during magma emplacement. The biotite monzogranite shows depletions in Nb, Ta, and Ti and εNd(t) values of -2.6 to −2.4 and resulted from partial melting of the lower crust caused by asthenospheric underplating. The bimodal intrusive rocks formed in a postcollision extensional setting. Combined with previous data, we conclude that northern Alxa was an active continental margin during the late Devonian and that the final closure of the Yagan branch ocean of the PAO occurred prior to the middle Permian.