bluuebunny/crossref_metadata_2025_split huggingface dataset:
L. F. Carrillo Pozo. Responsabilidad parental: un estudio de Derecho procesal civil internacional
Authors: Calvo Caravaca Alfonso-Luis 
Published: March 2023

Este artículo reseña: L. F. Carrillo Pozo. Responsabilidad parental: un estudio de Derecho procesal civil internacional, Valencia, Tirant lo Blanch, 2021, 376 p. ISBN: 9788413973371
Development of measures for metrological support of Raman spectroscopy
Authors: Yushina A. A. , Aseev V. A. , Levin A. D. 
Published: March 2023

The method of Raman spectroscopy (RS) is widely used for timely metrological support of technological lines of the industrial sector in the chemical, medical and pharmaceutical, food, as well as criminalistics and forensic examinations. The wide application of the Raman spectroscopy method requires the use of specific metrological support tools, namely, measures for calibrating Raman spectrometers and microscopes according to the spectrum shape (i. e. relative spectral sensitivity).The purpose of the research was to develop prototype measures designed to calibrate Raman spectrometers and microscopes on a scale of relative intensities provided with metrological traceability to the SI base units.Prototype measures were made from inorganic glasses based on an oxide matrix, each of the glasses was activated with metal ions selected to excite a broad fluorescence line with radiation at a given wavelength: 532 nm (manganese ions), 633 nm (bismuth ions) and 785 nm (chromium ions). Metrological characteristics were established for prototype measures, where the certified characteristic is the relative intensity of the reproduced fluorescence radiation. The maximum expanded measurement uncertainty of the relative fluorescence intensity at a coverage factor k = 2 was determined, which is 9.4 %, 5.2 % and 2.8 % for prototype measures designed to reproduce the relative fluorescence intensity when excited at wavelengths of 532 nm, 633 nm and 785 nm, respectively.Certification of measures performed on the laser Raman confocal microscope Confotec NR500, which is part of the GET 196-2015 standard, allows establishing metrological traceability through the scale of relative intensities of the GET 8 6-2017 microscope, providing traceability to SI units of the “(light) energy flux” value. Thus, it is possible to find the spectral correction function for determining the Raman spectra traceable to the State Primary Standard GET 196-2015 for calibrated devices using certified measures.The practical significance of the results of the research makes it possible to expand the possibility of establishing and monitoring the stability of the calibration characteristics of microscopes and Raman spectrometers, namely, it allows calibration on a scale of relative intensities.
FEMINIST STANDPOINT THEORY : an Analysis of Muslims Women Interaction in SHAFINA Ummida Jogokariyan
Authors: Kusuma Dwi Kartika , Asror Fuad Mafatichul 
Published: March 2023

<p><em>This </em><em>article</em><em> aims to analyze how the interaction of Muslim women in SHAFINA Ummida</em><em>. </em><em>This study uses Standpoint Feminist Theory by Nancy CM Hartsock and Julia T. Wood</em><em> In a</em><em> descriptive qualitative research</em><em>. This research concludes that Th</em><em>e SHAFINA contributes to</em><em> enhace knowledge for</em><em> Muslim women </em><em>at </em><em>Jogokariyan</em><em> village</em><em>. </em><em> Muslim womens learn about </em><em> Islamic </em><em>values</em><em> life during adolescence and married life. Ummida Jogokariyan Mosque </em><em>gives </em><em>Muslim women </em><em>wider participation </em><em>and </em><em>enhaces </em><em>the role of Muslim women in the Jogokariyan environment</em>.</p><em><span>. </span></em>
A bug prediction method for mobile app versioning using Gradient Descent Algorithm
Authors: Pandey Mamta , Litoriya Ratnesh , Pandey Prateek 
Published: March 2023

Abstract
Mobile software (apps) is increasing day by day and human being is mostly dependent on these apps. New methodologies, tools, and technologies have continuously made the lifecycle for the mobile apps development more technology dependent. Very few research in the field of mobile app bug targets on bug evaluation, bug recognition, and bug prediction. Prediction of a bug in software field is almost contemporary research area that includes adopting numerous approaches such as fuzzy logic, artificial intelligence, data mining etc. Nevertheless, bug prediction of mobile apps is the very latest area of research and existing literature shows that there are very superficial work has done in this area. Bug detection and correction is complex phenomena for mobile apps. There are various advantages to measuring the mobile app such as accuracy of estimation, mobile app cost to boost the quality of apps. The purpose of this study is to provide a model that predicts the number of bugs in a future version of a mobile app compared to an earlier version of the app, and we used a gradient descent algorithm to accomplish this task. The latest version of the app may have advance feature, new content, modified design etc. The aim of our study is to anticipate the new bugs recognized in the latest version of the app by evaluating the category of modifications in an objective and recognizing various types of bugs. Mobile app developer and project manager both can get help from bug predictor’s model. The bug predictor model helps to improve the quality codes and minimize the test time.
Energy-efficient Design of Cognitive Radio Sensor Network With Channel Bonding Using Software Defined Radio
Authors: J BALA VISHNU , Palanivel Suresh , A Bhagyaveni M 
Published: March 2023

Abstract
Underutilization of some licensed bands and increasing demand for large bandwidth allocation in unlicensed bands lead to the development of channel bonding in Cognitive Radio Sensor Networks (CRSN). Since Sensor Networks usually consists of power constraint devices, we need to acquire channel bonding in CRSN without sacrificing its energy efficiency. In this paper, we proposed an energy-efficient channel bonding with adaptive channel selection for CRSN to enable the unlicensed users to access the licensed user’s spectrum with enhanced performance in their absence. The channel bonding can significantly increase the spectral efficiency of CRSN. The adaptive channel selection based on minimum occupancy criteria proposed increases the energy efficiency of the CRSN. Simulation and hardware testbed results show that the proposed method has a considerably better throughput of 27% and an energy efficiency of 21% compared to the existing methods.
Red blood cell distribution width is associated with short-term mortality in critically ill patients with type 2 diabetes mellitus
Authors: Shi Jincun , Chen Fujin , Wang Xiaobo , Ni Bukao , Wu Jianhua , Zheng Kaihui 
Published: March 2023

AbstractRed blood cell distribution width (RDW) is associated with increased mortality in several diseases. However, the relationship between RDW fluctuations and the prognosis of critically ill patients with type 2 diabetes mellitus (T2DM) has not been reported. This study investigated the association between baseline RDW levels and dynamic changes and short-term mortality in critically ill patients with T2DM.All critically ill patients meeting the diagnostic criteria for T2DM in the Medical Information Mart for Intensive Care IV database were retrospectively analyzed. Logistic and Cox regression, Kaplan–Meier survival, and subgroup analyses were used to determine the association between baseline RDW and short-term mortality in critically ill patients with T2DM. Generalized additive mixed models were then used to compare trends in RDW over time between survivors and non-survivors.This study enrolled 6,299 patients with a 28-day mortality rate of 18.4%. Kaplan–Meier analysis showed higher 28-day and 60-day mortality (P<0.001) in the high baseline RDW group. High baseline RDW was revealed by multivariate logistic and Cox regression models as an independent risk factor for in-hospital, 28-day, and 60-day mortality in critically ill patients with T2DM. An association between elevated baseline RDW and 28-day mortality was observed in all subgroup analyses. The generalized summation mixed-effects model results showed a significant difference in RDW between the surviving and non-surviving groups within 48 h of admission to the intensive care unit (ICU). Moreover, this difference increased with time (β=0.034,P=0.003).Elevated baseline RDW at ICU admission was associated with high short-term mortality in critically ill patients with T2DM, an association that remained significant within 48 h of patient admission to the ICU. Moreover, dynamic monitoring of RDW may help predict short-term mortality in critically ill patients with T2DM. However, this finding requires further validation in prospective studies.
A study on two-sided matching game of virtual business partners based on heterogeneous multi-attribute preferences and subject's psychological behavior
Authors: xiao hanjie 
Published: March 2023

Abstract
Partner selection and matching is a key part of virtual enterprise formation, which directly affects the growth and development of virtual enterprises. The selection and matching of virtual enterprise partners can be regarded as Multi-attribute Two-sided Matching (MATSM) problem. This paper considers the current situation of attribute preferences in the mutual evaluation process of virtual partner selection, introduces a heterogeneous multi-attribute preference evaluation language system, analyzes the psychological behavior characteristics of both subjects in the decision-making process of selection and matching, gives the strategies and conditions of bilateral matching of virtual enterprise partners, and realizes an effective matching with balanced satisfaction of both virtual enterprise partners.
Identification of asthma-related genes using asthmatic blood eQTLs of Korean patients
Authors: Kim Dong Jun , Lim Ji Eun , Jung Hae-Un , Chung Ju Yeon , Baek Eun Ju , Jung Hyein , Kwon Shin Young , Kim Han Kyul , Kang Ji-One , Park Kyungtaek , Won Sungho , Kim Tae-Bum , Oh Bermseok 
Published: March 2023

Abstract
Background
More than 200 asthma-associated genetic variants have been identified in genome-wide association studies (GWASs). Expression quantitative trait loci (eQTL) data resources can help identify causal genes of the GWAS signals, but it can be difficult to find an eQTL that reflects the disease state because most eQTL data are obtained from normal healthy subjects.
Methods
We performed a blood eQTL analysis using transcriptomic and genotypic data from 436 Korean asthma patients. To identify asthma-related genes, we carried out colocalization and Summary-based Mendelian Randomization (SMR) analysis using the results of asthma GWASs and eQTL data. In addition, we compared the results of disease eQTL data and asthma-related genes with two normal blood eQTL data from Genotype-Tissue Expression (GTEx) project and a Japanese study.
Results
We identified 342,054 cis-eQTL and 2,931 eGenes from asthmatic eQTL analysis. We compared the disease eQTL results with GTEx and a Japanese study and found that 63.2% of the 2,931 eGenes overlapped with the GTEx eGenes and 38.5% with the Japanese eGenes. Following the integrated analysis of the asthmatic eQTL data with asthma GWASs, using colocalization and SMR methods, we identified 13 asthma-related genes specific to the Korean asthmatic eQTL data.
Conclusions
We provided Korean asthmatic cis-eQTL data and identified asthma-related genes by integrating them with GWAS data. In addition, we suggested these asthma-related genes as therapeutic targets for asthma. We envisage that our findings will contribute to understanding the etiological mechanisms of asthma and provide novel therapeutic targets.
Maternal Mosaicism in SSBP1 Causing Optic Atrophy with Retinal Degeneration: Implications for Genetic Counseling
Authors: Chang Yin-Hsi , Kang Eugene Yu-Chuan , Liu Laura , Jenny Laura A. , Khang Rin , Seo Go Hun , Lee Hane , Chen Kuan-Jen , Wu We-Chi , Hsiao Meng-Chang , Wang Nan-Kai 
Published: March 2023

Abstract
Background: Optic atrophy-13 with retinal and foveal abnormalities (OPA13) (MIM #165510) is a mitochondrial disease in which apparent bilateral optic atrophy is present and sometimes followed by retinal pigmentary changes or photoreceptors degeneration. OPA13 is caused by heterozygous mutation in the SSBP1 gene, associated with variable mitochondrial dysfunctions.
Results: We have previously reported a 16-year-old Taiwanese male diagnosed with OPA13 and SSBP1 variant c.320G>A (p.Arg107Gln) was identified by whole exon sequence (WES). This variant was assumed to be de novo since his parents were clinically unaffected. However, WES and Sanger sequencing further revealed the proband’s unaffected mother carrying the same SSBP1 variant with a 13% variant allele frequency (VAF) in her peripheral blood. That finding strongly indicates the maternal gonosomal mosaicism contributing to OPA13, which has not been reported before.
Conclusions: In summary, we described the first case of OPA13 caused by maternal gonosomal mosaicism in SSBP1. Parental mosaicism could be a serious issue in OPA13 diagnosis, and appropriate genetic counseling should be considered.
Experience of using the Virtual Reality Neurologic Examination Teaching tool (Version 2.0) to educate medical students
Authors: Yang Siyong , Beom Jin Ho , Han Eun Ah , Cho Junho 
Published: March 2023

Abstract
Background
Neurologic examination is a basic procedure that medical students must be competent in. However, there are limitations in the methods used for educating students about neurologic symptoms because light reflexes, nystagmus, facial palsies, corneal reactions, or doll reflexes cannot be expressed by standardized patients (SPs) at will. Therefore, we developed the Virtual Reality Neurologic Examination Teaching tool Version 2.0 (VRNET 2.0) to educate emergency medicine students in this regard. This study aimed to introduce VRNET 2.0 and report the experience of applying it for student education. Using VRNET 2.0, instructors can apply neurologic findings to virtual patients. This would help students understand neurologic examination by selecting various commands and interacting with a virtual patient.
Methods
This retrospective study analyzed the responses to a questionnaire administered to fourth-year medical students after the completion of a practice run.
Results
Compared to the training method using SPs + VRNET in 2019, training using VRNET 2.0 in 2021 was found to be superior in terms of satisfaction (8.18 [SP + VRNET] vs 8.81 [VRNET 2.0], p = 0.011) and difficulty (7.95 [SP + VRNET] vs 7.25 [VRNET 2.0], p = 0.040).
Conclusion
Neurologic examination training using VRNET 2.0 for medical students showed higher satisfaction and lower difficulty than the training program combining SP and VRNET.
Direct generation of time-energy-entangled W triphotons in atomic vapor
Authors: Wen Jianming , Zhang Yanpeng , Cai Yin , Li Kangkang , Li Changbiao , Li Feng , Zhang Zhaoyang , Xiao Min , Ghamsari Saeid 
Published: March 2023

Abstract
Sources of entangled multiphotons are not only essential for fundamental tests of quantum foundations, but are also the cornerstone of a variety of optical quantum technologies today. Over past three decades, tremendous efforts have been devoted to creating multiphoton entanglement by multiplexing existing biphoton sources with linear optics and postselections. Different from all previous protocols, here we report, for the first time, the observation of continuous-mode time-energy-entangled W-class triphotons with an unprecedented generation rate directly through the process of spontaneous six-wave mixing (SSWM) in a four-level triple-Λ atomic vapor cell. Facilitated by electromagnetically induced transparency and coherence control, our SSWM scheme enables versatile narrowband triphoton generation with many intriguing properties including long temporal coherence and controllable waveforms, ideal for implementing long-distance quantum communications, networking, and information processing by interfacing photons and atoms. Most importantly, our work paves a way for the development of a reliable and efficient genuine triphoton source, thus making the research on multiphoton entanglement within easy reach.
Using DIALOG+ in primary care to improve quality of life and mental distress of patients with long-term physical conditions: an exploratory non-controlled study in Bosnia and Herzegovina, Colombia and Uganda
Authors: Loggerenberg Francois van , Akena Dikens , Alinaitwe Racheal , Birabwa-Oketcho Harriet , Méndez Camilo Andrés Cabarique , Gómez-Restrepo Carlos , Kulenović Alma Džubur , Selak Nejra , Kiseljaković Meliha , Musisi Seggane , Nakasujja Noeline , Sewankambo Nelson K. , Priebe Stefan 
Published: March 2023

Abstract
Introduction: The management of long-term physical conditions is a challenge worldwide, absorbing a majority resources despite the importance of acute care. The management of these conditions is done largely in primary care and so interventions to improve primary care could have an enormous impact. However, very little data exist on how to do this. Mental distress is frequently comorbid with long term physical conditions, and can impact on health behaviour and adherence, leading to poorer outcomes. DIALOG+ is a low-cost, patient-centred and solution-focused intervention, which is used in routine patient-clinician meetings and has been shown to improve outcomes in mental health care. The question arises as to whether it could also be used in primary care to improve the quality of life and mental health of patients with long-term physical conditions. This is particularly important for low- and middle-income countries with limited health care resources.
Methods: An exploratory non-controlled multi-site trial was conducted in Bosnia and Herzegovina, Colombia, and Uganda. Feasibility was determined by recruitment, retention, and session completion. Patient outcomes (quality of life, anxiety and depression symptoms, objective social situation) were assessed at baseline and after three approximately monthly DIALOG+ sessions.
Results: A total of 117 patients were enrolled in the study, 25 in Bosnia and Herzegovina, 32 in Colombia, and 60 in Uganda. In each country, more than 75% of anticipated participants were recruited, with retention rates over 90% and completion of the intervention exceeding 92%. Patients had significantly higher quality of life and fewer anxiety and depression symptoms at post-intervention follow-up, with moderate to large effect sizes. There were no significant improvements in objective social situation.
Conclusion: The findings from this exploratory trial suggest that DIALOG+ is feasible in primary care settings for patients with long-term physical conditions and may substantially improve patient outcomes. Future research may test implementation and effectiveness of DIALOG+ in randomized controlled trials in wider primary care settings in low- and middle-income countries.
Trial registration: All studies were registered prospectively within the ISRCTN Registry. ISRCTN17003451, 02/12/2020 (Bosnia and Herzegovina), ISRCTN14018729, 01/12/2020 (Colombia) and ISRCTN50335796, 02/12/2020 (Uganda).
Predictive effect of TCED-HFV grading and imaging biomarkers on anti-VEGF therapy in diabetic macular edema
Authors: Yu Lu , Hao Xiaolin , Cheng Jie , Ling Yu , Ren Hong , Mo Bin , Liu Wu 
Published: March 2023

Abstract
Background
To evaluate the predictive effect of TCED-HFV grading and imaging biomarkers on anti-vascular endothelial growth factor (anti-VEGF) treatment in diabetic macular edema (DME).
Methods
81 eyes of 81 DME patients who were treated with anti-VEGF were included in this retrospective cohort study. All patients underwent a comprehensive ophthalmic examination at baseline and follow-up, including best-corrected visual acuity (BCVA), fundus photography, and spectral domain–optical coherence tomography (SD-OCT). Baseline imaging biomarkers were qualitatively and quantitatively graded according to the TCED-HFV classification protocol, and DME was divided into early stage, advanced stage, severe stage, and atrophy stage.
Results
Six months post treatment, central subfield thickness (CST) in 49 eyes (60.5%) had decreased by 10% from baseline, 30 eyes (37.0%) had achieved CST < 300 µm, and 45 eyes (55.6%) had BCVA improved by more than five letters. Multivariate regression analysis revealed that eyes with baseline CST ≥ 390 µm had a higher probability of ≥ 10% reduction in CST from baseline, and eyes with abundant hyperreflective dots (HRD) had a lower probability of 10% reduction in CST (all P < 0.05). Eyes with vitreomacular traction (VMT) or epiretinal membrane (ERM) at baseline were less likely to reach the end point of CST < 300 µm (P < 0.05). BCVA increases of more than five letters were less likely in eyes with baseline BCVA ≥ 69 letters, complete or partial destruction of ellipsoid zone (EZ) at baseline (all P < 0.05). TCED-HFV staging was negatively correlated with BCVA at both baseline and 6 months (Kendall’s tau-b=-0.39 and − 0.55, all P < 0.01). TCED-HFV staging was positively correlated with CST at 6 months (Kendall’s tau-b = 0.19, P = 0.049) and negatively correlated with the reduction of CST (Kendall’s tau-b=-0.32, P < 0.01).
Conclusion
The TCED-HFV grading protocol facilitates a comprehensive assessment of DME severity, standardizes the grading of multiple imaging biomarkers, and predicts the anatomical and functional outcomes of anti-VEGF treatment.
Neuro Fuzzy Framework for EEG Signal Classification to improve Supply Chain efficiency
Authors: Duy Linh Bui , Le Luan Thanh , Minh Ngoc Vu-Thi , Huong Giang Hoang , Van Bao Duong 
Published: March 2023

Abstract

The Electroencephalogram (EEG), which is used in the diagnosis of brain related disease, which reflects the physiological processes of the human brain. Any human expert must take their time visually examining a large amount of EEG data, and there is a chance that their assessments will differ or be inconsistent across doctors. So, using deep learning techniques, a process of automated identification and diagnosis is started. The Neuro Fuzzy Framework (NFF) classifier is discovered to be the superior classifier when the results are studied and contrasted based on the different factors. This work might make the categorization process stronger in practise, advancing medical diagnosis. The diagnosed information can be further utilized by the supply chain management system for providing the medicines and other needed materials to the user on appropriate time. The enrichment of supply chain management system is analysed in this article.
Checkpoint inhibitor mediated conduction abnormalities reversed with early intravenous steroid administration: a case report
Authors: Baird Andrew , Drakos Stavros , Groh Christopher , Wang Libo 
Published: March 2023

Abstract
A man receiving nivolumab and ipilimumab presented post-syncopal episode with troponin elevation before rapidly developing progressive conduction abnormalities requiring pacing from checkpoint inhibitor mediated myocarditis. His arrhythmia resolved with prompt steroids. There is a paucity of literature supporting treatment strategies for heart block related to immune checkpoint inhibitor mediated myocarditis. Most cases have not been treated promptly with aggressive steroid therapy, and rarely have patients been liberated from pacemaker requirement following treatment. This case demonstrates the potentially devastating adverse effects of checkpoint inhibition and emphasizes the necessity of using a Bayesian approach to timely diagnosis and treatment.