bluuebunny/crossref_metadata_2025_split huggingface dataset:
The 4-item family resilience scale: psychometric evaluation and measurement invariance of the malay version in adolescents and young adults
Authors: Hamzah Hazalizah , Tan Chee-Seng , Ramlee Fatanah , Zulkifli Syara Shazanna 
Published: November 2023

Abstract
Background
The original Family Resilience Scale (FRS) is a reliable tool to assess family resilience. However, the FRS is based on the United States and parental context. Thus, the usefulness of the FRS for the adolescent and young adult population in Asian countries, particularly Malaysia remains unknown. This study translated the FRS into the Malay language and validated it on Malaysian adolescents and young adults to identify its potential as a self-report tool to assess the resilience level of their family.

Methods
A total of 351 participants (Mage = 19.75, SDage = 3.29) were recruited in the study using purposive sampling. Confirmatory factor analysis was conducted to examine the factorial structure of the Family Resilience Scale-Malay (FRS-Malay) and measurement invariance between adolescents and young adults. Then, the scale’s reliability was investigated using Cronbach’s alpha, McDonald’s omega coefficients, and composite reliability index. Finally, we examined the discriminant validity of the FRS-Malay by correlating its score with individual resilience score and examined the incremental validity of the scale using hierarchical multiple regression analysis to test if family resilience can explain individual well-being levels beyond and above individual resilience.

Results
The findings of the confirmatory factor analysis suggest that a single-factor model is supported for both age groups. Furthermore, the scale exhibited scalar invariance between adolescents and young adults. The scale also exhibited good reliability, as the value of Cronbach’s alpha, McDonald omega coefficients, and composite reliability index were above 0.80. Additionally, the Pearson correlation analysis showed a positive correlation between the FRS-Malay and individual resilience scores, which supports the discriminant validity of the scale. Similarly, the incremental validity of the scale is also supported. Specifically, family resilience had a positive correlation with well-being, even after controlling for individual resilience in the regression analysis.

Conclusions
The FRS-Malay has demonstrated good reliability and validity. The scale measures the same construct of family resilience across adolescents and young adults, making it suitable for comparisons. Therefore, this unidimensional tool is appropriate for self-reporting their perceived level of family resilience. It is also useful for studying the development and fluctuation of family resilience in the Malaysian context.
Exploring the feasibility of using long-term stored newborn dried blood spots to identify metabolic features for congenital heart disease screening
Authors: Ceresnak Scott R. , Zhang Yaqi , Ling Xuefeng B. , Su Kuo Jung , Tang Qiming , Jin Bo , Schilling James , Chou C. James , Han Zhi , Floyd Brendan J. , Whitin John C. , Hwa Kuo Yuan , Sylvester Karl G , Chubb Henry , Luo Ruben Y. , Tian Lu , Cohen Harvey J. , McElhinney Doff B. 
Published: November 2023

AbstractCongenital heart disease (CHD) represents a significant contributor to both morbidity and mortality in neonates and children. There’s currently no analogous dried blood spot (DBS) screening for CHD immediately after birth. This study was set to assess the feasibility of using DBS to identify reliable metabolite biomarkers with clinical relevance, with the aim to screen and classify CHD utilizing the DBS. We assembled a cohort of DBS datasets from the California Department of Public Health (CDPH) Biobank, encompassing both normal controls and three pre-defined CHD categories. A DBS-based quantitative metabolomics method was developed using liquid chromatography with tandem mass spectrometry (LC-MS/MS). We conducted a correlation analysis comparing the absolute quantitated metabolite concentration in DBS against the CDPH NBS records to verify the reliability of metabolic profiling. For hydrophilic and hydrophobic metabolites, we executed significant pathway and metabolite analyses respectively. Logistic and LightGBM models were established to aid in CHD discrimination and classification. Consistent and reliable quantification of metabolites were demonstrated in DBS samples stored for up to 15 years. We discerned dysregulated metabolic pathways in CHD patients, including deviations in lipid and energy metabolism, as well as oxidative stress pathways. Furthermore, we identified three metabolites and twelve metabolites as potential biomarkers for CHD assessment and subtypes classifying. This study is the first to confirm the feasibility of validating metabolite profiling results using long-term stored DBS samples. Our findings highlight the potential clinical applications of our DBS-based methods for CHD screening and subtype classification.
Glass beads from a Scythian grave on the island of Khortytsia (Zaporizhzhia, Ukraine): insights into bead making through 3D imaging
Authors: Nykonenko Dmytro , Yatsuk Oleh , Guidorzi Laura , Lo Giudice Alessandro , Tansella Francesca , Cesareo Ludovica Pia , Sorrentino Giusi , Davit Patrizia , Gulmini Monica , Re Alessandro 
Published: November 2023

Abstract
Four glass beads from a Scythian burial on the island of Khortytsia (Southern Ukraine) were subjected to 3D imaging using micro-CT and photogrammetry. The aim was to reconstruct the process used to produce and decorate the beads by detecting and interpreting the traces left by the technological processes on the bead surface and in the glass body. It turned out that all the beads were obtained by winding hot glass around the mandrel. The distribution, size and shape of the bubbles in the glass matrix revealed by the micro-CT scans and the features observed during a thorough examination of the photogrammetric models allowed us to follow the movements of the bead maker during the formation of the bead body and its decoration, highlighting several details of the production processes such as the number of the superimposed layers and the direction of the rotation of the mandrel during both the formation of the body and the decoration of the bead. Some information about the tools also emerged, with particular reference to the shape of the mandrel, the possible use of a releasing agent and how tools were used to decorate the surface or to remove the beads from the mandrel. According to the archaeological classification, the beads considered here belong to three different types, that are considered chronological indicators of the fourth century BCE and are found in archaeological sites spread over an area extending for several thousand kilometers from the Black Sea coast to the Ural Mountains. This work enriches the knowledge of the micromorphology of beads found in Eastern Europe, which is rarely discussed in the scientific literature on the archaeological glass beads.
Behavioral patterns in collaborative problem solving: a latent profile analysis based on response times and actions in PISA 2015
Authors: Han Areum , Krieger Florian , Borgonovi Francesca , Greiff Samuel 
Published: November 2023

AbstractProcess data are becoming more and more popular in education research. In the field of computer-based assessments of collaborative problem solving (ColPS), process data have been used to identify students’ test-taking strategies while working on the assessment, and such data can be used to complement data collected on accuracy and overall performance. Such information can be used to understand, for example, whether students are able to use a range of styles and strategies to solve different problems, given evidence that such cognitive flexibility may be important in labor markets and societies. In addition, process information might help researchers better identify the determinants of poor performance and interventions that can help students succeed. However, this line of research, particularly research that uses these data to profile students, is still in its infancy and has mostly been centered on small- to medium-scale collaboration settings between people (i.e., the human-to-human approach). There are only a few studies involving large-scale assessments of ColPS between a respondent and computer agents (i.e., the human-to-agent approach), where problem spaces are more standardized and fewer biases and confounds exist. In this study, we investigated students’ ColPS behavioral patterns using latent profile analyses (LPA) based on two types of process data (i.e., response times and the number of actions) collected from the Program for International Student Assessment (PISA) 2015 ColPS assessment, a large-scale international assessment of the human-to-agent approach. Analyses were conducted on test-takers who: (a) were administered the assessment in English and (b) were assigned the Xandar unit at the beginning of the test. The total sample size was N = 2,520. Analyses revealed two profiles (i.e., Profile 1 [95%] vs. Profile 2 [5%]) showing different behavioral characteristics across the four parts of the assessment unit. Significant differences were also found in overall performance between the profiles.
Simple, sensitive, and label-free miRNA analysis through strand displacement reaction integrating with G-quadruplex-based signal generation
Authors: Zhang Hongmin , Li Jie , Huang Hong , Wang Hao , Qiu Sheng , Yang Gangyi 
Published: November 2023

AbstractMicroRNAs (miRNAs) play a significant role in the pathogenesis of various diseases throughout biological processes, and the accurate detection of miRNA biomarkers holds great potential for early stage disease diagnosis and treatment. In this study, a novel method is developed to detect miRNA-21, a biomarker for drug-induced liver injury, by combining target sequence recycling with G-quadruplex-based signal production. This approach is highly sensitive and does not require the use of labels. The target sequence facilitates the cyclic exposure of G-rich regions in the detection probe by toehold-mediated strand displacement processes, with the aid of the catalytic chain. The G-quadruplex sequences that have been produced subsequently interact with thioflavin T (ThT), resulting in a significant increase in its fluorescence intensity. This enhanced fluorescence is utilized for the purpose of detecting miRNA-21, with a remarkably low detection limit of 4.4 fM. The suggested technique also allows for the very specific identification of the target miRNA-21. Due to its non-label format, excellent selectivity, and sensitivity, this technology presents a straightforward and versatile approach for detecting a wide range of biomarkers in the early phases of illness detection.
Efficacy, safety, and pharmacokinetics of MR13A11A, a generic of remifentanil, for pain management of Japanese patients in the intensive care unit: a double-blinded, fentanyl-controlled, randomized, non-inferiority phase 3 study
Authors: Doi Matsuyuki , Takahashi Naoki , Nojiri Rumi , Hiraoka Takehiko , Kishimoto Yusuke , Inoue Shinichi , Oya Nobuyo 
Published: November 2023

Abstract
Background
The aims of this study were to evaluate the efficacy, safety, and pharmacokinetics (PK) of continuous intravenous administration of remifentanil in mechanically ventilated patients in the intensive care unit (ICU).

Methods
This was a multicenter, randomized, double-blinded, fentanyl-controlled, non-inferiority phase 3 study. Patients aged ≥ 20 years requiring 6 h to 10 days mechanical ventilation in an ICU and requiring pain relief were randomly assigned in a 1:1 ratio to receive either remifentanil (n = 98) or fentanyl (n = 98). Dose was titrated from an infusion rate of 1 mL/h (remifentanil: 0.025 µg/kg/min, fentanyl: 0.1 µg/kg/h) until the target level of analgesia (behavioral pain scale [BPS] ≤ 5 or numerical rating score [NRS] ≤ 3) was achieved by escalating the dose in 1 mL/h increasing. Administration was then adjusted to maintain the target level of analgesia until weaning from the ventilator. The primary endpoint was the proportion of patients who did not require rescue fentanyl. Safety was assessed according to standard procedures. PK of remifentanil in the arterial blood was assessed in 24 patients.

Results
The proportion of patients achieving the primary endpoint in the remifentanil and fentanyl groups was 100% (92/92) and 97.8% (88/90), respectively. The difference between the groups was 2.2% (95% confidence interval, − 0.8–5.3) and non-inferiority of remifentanil to fentanyl was verified (p < 0.0001). The incidences of any adverse events in the remifentanil and fentanyl groups was 34 of 92 patients (37.0%) and 34 of 90 patients (37.8%), respectively. Adverse drug reactions was 12 in 92 patients (13.0%) and 15 in 90 patients (16.7%), respectively. In the PK analysis, blood remifentanil concentration decreased within 10 min to almost 50% of the end of administration, suggesting rapid offset of action following discontinuation of remifentanil.

Conclusions
Remifentanil can be used safely for pain management in mechanically ventilated Japanese patients in the ICU.
Trial registration: Japan Registry of Clinical Trials, jRCT2080224954. Registered 20 November 2019, https://jrct.niph.go.jp/latest-detail/jRCT2080224954.
Statistical characterization of full-margin rupture recurrence for Cascadia subduction zone using event time resampling and Gaussian mixture model
Authors: Goda Katsuichiro 
Published: November 2023

AbstractEarthquake occurrence modeling of large subduction events involves significant uncertainty, stemming from the scarcity of geological data and inaccuracy of dating techniques. The previous research on statistical modeling of full-margin ruptures of the Cascadia subduction zone attempted to address these issues. However, the adopted resampling method to account for the uncertain marine turbidite age data from the Cascadia subduction zone was not sufficient in the sample size. This study presents a statistical approach based on the Gaussian mixture model applied to significantly larger resampled Cascadia age data. The results suggest that the 3-component Gaussian mixture model outperforms the 2-component Gaussian mixture model and the 1-component renewal models by capturing the long gap and short-term clustering. The developed Gaussian mixture model is well suited to apply to probabilistic seismic and tsunami hazard analysis and the calculation of long-term probability of the future full-margin Cascadia events by considering the elapsed time since the last event.
The gut microbiome mediates adaptation to scarce food in Coleoptera
Authors: Moldovan Oana Teodora , Carrell Alyssa A. , Bulzu Paul-Adrian , Levei Erika , Bucur Ruxandra , Sitar Cristian , Faur Luchiana , Mirea Ionuț Cornel , Șenilă Marin , Cadar Oana , Podar Mircea 
Published: November 2023

AbstractBeetles are ubiquitous cave invertebrates worldwide that adapted to scarce subterranean resources when they colonized caves. Here, we investigated the potential role of gut microbiota in the adaptation of beetles to caves from different climatic regions of the Carpathians. The beetles’ microbiota was host-specific, reflecting phylogenetic and nutritional adaptation. The microbial community structure further resolved conspecific beetles by caves suggesting microbiota-host coevolution and influences by local environmental factors. The detritivore species hosted a variety of bacteria known to decompose and ferment organic matter, suggesting turnover and host cooperative digestion of the sedimentary microbiota and allochthonous-derived nutrients. The cave Carabidae, with strong mandibula, adapted to predation and scavenging of animal and plant remains, had distinct microbiota dominated by symbiotic lineages Spiroplasma or Wolbachia. All beetles had relatively high levels of fermentative Carnobacterium and Vagococcus involved in lipid accumulation and a reduction of metabolic activity, and both features characterize adaptation to caves.
Beyond emergency remote teaching: did the pandemic lead to lasting change in university courses?
Authors: Broadbent J. , Ajjawi R. , Bearman M. , Boud D. , Dawson P. 
Published: November 2023

AbstractThe COVID-19 pandemic significantly disrupted traditional methods of teaching and learning within higher education. But what remained when the pandemic passed? While the majority of the literature explores the shiftsduringthe pandemic, with much speculation about post-pandemic futures, a clear understanding of lasting implications remains elusive. To illuminate this knowledge gap, our study contrasts pedagogical practices in matched courses from the pre-pandemic year (2019) to the post-pandemic phase (2022/2023). We also investigate the factors influencing these changes and the perceptions of academics on these shifts. Data were gathered from academics in a large comprehensive Australian university of varying disciplines through a mixed-methods approach, collecting 67 survey responses and conducting 21 interviews. Findings indicate a notable increase in online learning activities, authentic and scaffolded assessments, and online unsupervised exams post-pandemic. These changes were primarily driven by university-guided adaptations, time and workload pressures, continued COVID-19 challenges, local leadership, an individual desire to innovate, and concerns about academic integrity. While most changes were seen as favourable by academics, perceptions were less positive concerning online examinations. These findings illuminate the enduring effects of the pandemic on higher education, suggesting longer-term implications than previous studies conducted during the acute phase of the pandemic.
“Adaptive virtual synchronous generator control using optimized bang-bang for Islanded microgrid stability improvement”
Authors: Elwakil Mahmoud M. , Zoghaby Helmy M. El , Sharaf Soliman M. , Mosa Magdi A. 
Published: November 2023

AbstractIn this paper, a virtual synchronous generator (VSG) controller is applied to a hybrid energy storage system (HESS) containing a battery energy storage system and supercapacitor storage system for maintaining the frequency stability of an isolated microgrid. The microgrid contains a photovoltaic generation system and a diesel generator in addition to the HESS and two constant impedance loads that are fed through a medium voltage radial feeding system. The adaptive virtual inertia constant (H) with constant virtual damping coefficient (D) based on ‘ bang-bang’ control for the microgrid’s frequency stability enhancement is investigated and compared with the constant parameter VSG. In addition, the bang-bang control is modified to adapt the D beside the adaptive H, and the system response is investigated and compared with the conventional adaptive H technique. The VSG parameters are evaluated based on two different methods. The first is a computational method based on the simplified small signal stability analysis, while the other is based on an optimization method using two different objective functions and the particle swarm optimization technique. This paper also investigates the superiority of the proposed technique compared to other techniques in enhancing frequency stability, accelerating steady-state frequency restoration, and reducing the energy requirement of the HESS. The required power from the HESS is shared between the two energy storages using the low pass filter technique so as to reduce battery peak current.
Intraoperative ultrasonographic-guided surgery of intracerebral hemorrhage
Authors: Sultan Ahmed Elsayed , Elwany Amr , Madkour Amr , Agamy Mohmed 
Published: November 2023

Abstract
Background
The location of the cortical incision and maximum evacuations of parenchymal intracerebral hematoma are crucial points. Intraoperative ultrasonography is a real-time tool with great benefit at these points

Methods
A retrospective study of patients with parenchymal intracerebral hemorrhage that underwent evacuation using intraoperative ultrasound guidance was included. Preoperative clinical and radiological assessments were studied. The postoperative imaging and clinical outcome were assessed. A late follow-up after 6 months was done.

Results
The age of study patients ranged from 9 to 73 (mean 45.3 ± 20.4 years). There were 14 males (58.3%). The mean preoperative Glasgow Coma Scale (GCS) was 9.8 ± 2.9. The preoperative hematoma volume ranged from 32 to 135 cm3 with a mean of 68.5 ± 30.5 cm3. The rate of evacuation ranged from 90 to 100%. The mean postoperative GCS was 11.7 ± 2.5. None of the patients had a recurrent hemorrhage. There was a significant rate of evacuation of the hematomas (P value < 0.001*). Also, there was a marked improvement in postoperative GCS and the late modified Rankin Scale (P value < 0.001*).

Conclusion
Ultrasonography is a useful, efficient, real-time tool for the localization and evacuation of parenchymal intracerebral hemorrhage. It maximizes evacuation and decreases parenchymal insult. It is an important aid to the neurosurgeon.
Evaluation of ovarian reserve in unexplained ınfertile cases: a case-controlled study
Authors: Sahin Mustafa , Guven Suleyman , Sal Hidayet , Guvendag Guven Emine Seda 
Published: November 2023

Abstract
Background
The aim of this study was to evaluate the effectiveness of current ovarian reserve tests in unexplained infertile cases.

Material and methods
This case–control study was conducted on 70 unexplained infertile women who were included in a tertiary university hospital. Both groups of basal FSH, estradiol, antimullerian hormone (AMH), inhibin B, ovarian volume, total antral follicle count (AFC), ovarian volume, and ovarian stromal blood flow (peak systolic velocity (PSV), S/D (systole and diastole ratio), resistance index (RI), and pulsatility index (PI)) values were compared.

Results
The mean AMH, inhibin B, PSV, and stromal blood flow values of the control group patients were higher than those in the unexplained infertility group. However, the values of the means of RI and PI of the cases in the control group were lower than those in the infertility group. When PI’s value was ≥ 2.00, its sensitivity was 65.7%, and its specificity was 64.3%. In the case of the RI, its value was ≥ 0.745, its sensitivity was 65.7%, and its specificity was 62.9%. In order to show ovarian reserve in unexplained infertile cases, the sensitivity values can be sorted from high to low as follows: PI > RI > estradiol > FSH > ovarian volume > AFC > inhibin B > stromal blood flow > PSV > S/D.

Conclusion
In the unexplained infertile patient group with normal ovarian reserve test results, basal estradiol, decreased PI, and RI values may be used as good ovarian reserve predictors.