bluuebunny/crossref_metadata_2025_split huggingface dataset:
X-ray fluorescence analysis of three late medieval silver chalices associated with Ireland
Authors: Biolcati Veronica , McDonnell Richard Keyes , Hoffman Anna Grace , Ó Macháin Pádraig , Krasnodębska-D’Aughton Małgorzata , Iacopino Daniela 
Published: April 2024

Abstract
This paper presents the results of the first X-ray fluorescence (XRF) investigation conducted on three late medieval chalices associated with Ireland: the Ó Learghusa chalice, auctioned as medieval Irish in 2021, does not have a confirmed provenance; the de Burgo-O'Malley chalice, dated 1494, and the TP-IEP chalice, dated 1589, both of Irish provenance. This study effectively addressed the knowledge gap concerning Irish medieval silver chalices composition. The analysis revealed that both the Ó Learghusa and de Burgo-O'Malley chalices were crafted from a silver-copper alloy and adorned using a fire-gilding technique. The blue and green enamels on the de Burgo-O'Malley chalice were found to be constituted by cobalt and iron/copper glasses, respectively. In contrast, the TP-IEP chalice exhibited a more intricate structure, being a composite object with partial silver gilt and with the bowl and base possibly made of a ternary silver-copper-gold alloy. The TP-IEP chalice’s knop displayed glass, simulating gems with transparent, blue, and purple colorations. XRF analysis allowed identification of lead-potash glass, while the red glass displayed a rich iron content and was identified as soda-lime glass. The analysis allowed concluding that the de Burgo-O'Malley chalice had retained its original condition, including its original gilding and enamels, while the Ó Learghusa and TP-IEP chalices appeared to have undergone refurbishment. These significant discoveries contribute to a deeper understanding of the historical context and artistic craftsmanship behind these late medieval chalices, shedding light on their unique stories within Irish art and history.
11C-CFT PET brain imaging in Parkinson’s disease using a total-body PET/CT scanner
Authors: Sun Xiaolin , Tan Xiaoyue , Zhang Qing , He Shanzhen , Wang Siyun , Zhou Yongrong , Huang Qi , Jiang Lei 
Published: April 2024

Abstract
Purpose
This study aimed to evaluate the feasibility of 11C-CFT PET brain imaging in Parkinson’s Disease using a total-body PET/CT scanner and explore the optimal scan duration to guide the clinical practice.

Methods
Thirty-two patients with Parkinson’s disease (PD) performing 11C-CFT PET/CT brain imaging using a total-body PET/CT scanner were retrospectively enrolled. The PET data acquired over a period of 900 s were reconstructed into groups of different durations: 900-s, 720-s, 600-s, 480-s, 300-s, 180-s, 120-s, 60-s, and 30-s (G900 to G30). The subjective image quality analysis was performed using 5-point scales. Semi-quantitative measurements were analyzed by SUVmean and dopamine transporter (DAT) binding of key brain regions implicated in PD, including the caudate nucleus and putamen. The full-time images (G900) were served as reference.

Results
The overall G900, G720, and G600 image quality scores were 5.0 ± 0.0, 5.0 ± 0.0, and 4.9 ± 0.3 points, respectively, and there was no significant difference among these groups (P > 0.05). A significant decrease in these scores at durations shorter than 600 s was observed when compared to G900 images (P < 0.05). However, all G300 image quality was clinically acceptable (≥ 3 points). As the scan duration reduced, the SUVmean and DAT binding of caudate nucleus and putamen decreased progressively, while there were no statistically significant variations in the SUVmean of the background among the different groups. Moreover, the changes in the lesion DAT binding (ΔDAT-binding) between the full-time reference G900 image and other reconstructed group G720 to G30 images generally increased along with the reduced scan time.

Conclusion
Sufficient image quality and lesion conspicuity could be achieved at 600-s scan duration for 11C-CFT PET brain imaging in PD assessment using a total-body PET/CT scanner, while the image quality of G300 was acceptable to meet clinical diagnosis, contributing to improve patient compliance and throughput of PET brain imaging.
Integrating 5E Model with Planned-Incidental Grammar Teaching Approach to enhance grammar competency of eighth-grade Odia medium school students, in a time-sensitive manner
Authors: Behera Rashmi Ranjan , Rath Chirashree Srabani , Acharya Amulya Kumar , Subhrajyoti Trupti , Acharya Sujata , Kumar Rajesh 
Published: April 2024

AbstractPrompted by the challenges faced by teachers in balancing grammar and content in English classes, coupled with the poor English proficiency of rural Odia medium school students, the study aimed to devise an intervention that could balance content and grammar, thereby enhancing the grammar competency and content comprehension of eighth-grade students. Based on quasi-experimental research with a pretest-posttest nonequivalent group design, two groups were assigned treatment conditions: the 5E Model with Planned-Incidental Grammar Teaching Approach (experimental group) and the traditional Grammar Translation Method (control group) during class instructions. Data were collected from 100 school students, with 52 in the experimental group and 48 in the control group, using pretest and posttest assessments. The mixed ANOVA test results revealed significantly higher posttest scores in the experimental group compared to the control group, highlighting the positive impact of the intervention on students’ grammar proficiency. The t-test for the comprehension test suggested comparable levels of comprehension in both groups, indicating the efficiency of the new pedagogical strategy in seamlessly integrating grammar instruction into regular classroom teaching, optimizing instructional time and ensuring balance between content and grammar, making it particularly valuable for educators facing time constraints. This study underscores the need for professional development opportunities to enhance teachers’ pedagogical skills and knowledge. Further research is warranted to explore the intervention’s impact on various language skills and assess its applicability in diverse contexts, contributing to a broader understanding of its implications.
School absence of adolescents from single-parent families in Andalusia (Spain): exploring the mediating and moderating role of economic and social resources
Authors: Mejías-Leiva Manuel , Moreno Mínguez Almudena 
Published: April 2024

AbstractThis study examines the relationship between growing up in single-parent families and school absence in Andalusia (Spain), considering differences according to adolescents’ social background. Empirical analyses of data from theSocial Survey 2010: Education and Housingshow that adolescents growing up in single-parent families have, on average, a higher number of school absences than their peers in two-parent families. These disadvantages are greater for adolescents with low social backgrounds, regardless of whether this is measured by parental education or housing tenure. Both economic resources (lower household income) and social resources (poor relationship with absent parent) partially explain the differences in school absence rates amongst adolescents growing up in single-parent families. School environment (teacher–student relationship, atmosphere amongst students, experiences of school violence or ownership of educational institution) are not influential in explaining educational disadvantage amongst adolescents from different family structures, although they are strong predictors of school absence.
Add-on multiple submucosal injections of the RNA oligonucleotide GUT-1 to anti-TNF antibody treatment in patients with moderate-to-severe ulcerative colitis: an open-label, proof-of concept study
Authors: Suzuki Kenji , Sameshima Yukinori , Yokoyama Junji , Terai Shuji , Yoneyama Hiroyuki , Atreya Raja , Neurath Markus F. , Hibi Toshifumi , Asakura Hitoshi 
Published: April 2024

Abstract
Background
Carbohydrate sulfotransferase 15 (CHST15) is an enzyme biosynthesizing matrix glycosaminoglycan that modulates tissue remodeling. We evaluated the efficacy of add-on submucosal injections of GUT-1, the RNA oligonucleotide inhibitor of CHST15, to ongoing anti-tumor necrosis factor (TNF) antibody treatment in patients with moderate-to-severe ulcerative colitis (UC).

Methods
This was an open-label study of 250 nM of GUT-1 by endoscopic submucosal injections at weeks 0, 2, 4 in five UC patients who lost response during maintenance treatment to anti-TNF antibodies. The primary endpoint was the rate of endoscopic improvement at week 6 and secondary endpoints included the rates of clinical remission by modified Mayo Score (mMS). Patients received follow-up observation with continuous maintenance treatment by the same anti-TNF antibody till the time of clinical recurrence or for overall 52 weeks.

Results
At week 6, rates of endoscopic improvement and clinical remission were 80% (n = 4/5) and 60% (n = 3/5), respectively. The mean Endoscopy Subscore was reduced from 2.4 (95%CI: 1.7 to 3.1) at baseline, to 1.0 (95%CI: 0.1 to 1.9) at week 6. The mean mMS was reduced from 7.8 (95%CI: 6.2 to 9.4) to 1.3 (95%CI: 2.9 to 4.3). GUT-1 was well tolerated. Three patients did not show clinical recurrence for 52 weeks. All three corticosteroid-dependent patients showed no corticosteroid exposure for at least 24 weeks after achieving clinical remission. Multiple dosing was also well tolerated.

Conclusions
Add-on multiple injections of GUT-1 to ongoing anti-TNF antibody was able to induce rapid and durable clinical responses in UC patients who lost response to anti-TNF therapy.

Trial registration
Clinical trial Registration Number (Japan): UMIN000020900.
Construction of new energy consumption optimization model based on improved pathfinder algorithm
Authors: Pan Zhen , Huang Feipeng , Lin Xin , Yu Ming 
Published: April 2024

AbstractAs traditional energy reserves continue to decline, the importance of new energy sources increases. However, the current traditional power system often fails to consider new energy sources, particularly in power supply systems that integrate multiple new energy sources. The cost, efficiency, and environmental factors seriously affect the energy system’s efficiency. Therefore, this proposal presents a multi-objective optimization discrete assignment pathfinder algorithm. The algorithm can handle multi-objective optimization problems and adapt to various constraints, providing a more precise optimization scheme for new energy systems. The experimental results indicated that the proposed research method exhibits better performance compared to other algorithms of the same type. Compared with the multi-objective multivariate universe optimization algorithm and the multi-objective sparrow search algorithm, the research method was ahead in terms of fitness value by 9.54% and 14.67%, respectively. Meanwhile, in the grid simulation, the research method achieved an average efficiency of 96.16%, which is better than the comparative algorithms by 6.57–14.02%. The study not only improves the optimization efficiency of new energy consumption, but also provides a powerful decision support tool for the planning and operation of wind farms. It is of great significance for the improvement of power system efficiency and decarbonization, and helps to promote the large-scale integration and sustainable development of new energy.
Temporal and spatial characterization of a thermogenic, fault-controlled gas hydrate system, Woolsey Mound, Gulf of Mexico
Authors: Alam Saiful , Knapp Camelia C. , Knapp James H. , Simonetti Antonello 
Published: April 2024

Woolsey Mound, located at Mississippi Canyon Lease Block 118 (MC118), is the site of the Gulf of Mexico hydrate research consortium’s seafloor observatory, where gas hydrates outcrop at the seafloor. The presence of gas hydrates in the mound is confirmed directly by coring and indirectly by 3D seismic reflection data. Craters, pockmarks, chemosynthetic communities, and authigenic carbonates populate the seafloor at Woolsey Mound. Each crater is characterized by a network of shallow crestal faults that connect the hydrate mound to the underlying allochthonous salt body. We characterize the temporal and spatial evolution of gas hydrates at Woolsey Mound under natural perturbations using four collocated 3D seismic reflection data sets that span over 14 years. Data acquisition differences embedded in the data sets arising from variation in geometry, sample rate, and phase are minimized using the “cross-equalization” method. Our results indicate that hydrate formation and dissociation vary temporally and spatially in close connection to the shallow crestal faults. Evidence of gas hydrate dissociation is observed over a period of three years (2000–2003), where major dissociation occurred along the southern portion of the crestal fault in the southeast crater. The dissociation is less prominent in the southwest crater. Evidence of methane venting is observed between 2000 and 2010, which is mostly concentrated in the southeast crater. The residual amplitude anomalies observed between 2000 and 2014 in the mound are mostly positive, implying that the methane venting had increased significantly. The positive anomalies are correlated with the methane seepage recorded in 2011. Our results indicate the evolution of a fault-controlled gas hydrate system in the northern Gulf of Mexico, which would aid in assessing its impact on the seafloor.
Toward Equitable Precision Oncology: Monitoring Racial and Ethnic Inclusion in Genomics and Clinical Trials
Authors: García-Cárdenas Jennyfer M. , Indacochea Alberto , Pesantez-Coronel David , Terán-Navas Martín , Aleaga Ana , Armendáriz-Castillo Isaac , Peña Zúñiga Lizbeth , Morán-Erazo Carla , Chávez-Vélez Erik , Pérez-Villa Andy , López-Cortés Andrés , Guerrero Santiago 
Published: April 2024

PURPOSE Ethnic diversity in cancer research is crucial as race/ethnicity influences cancer incidence, survival, drug response, molecular pathways, and epigenetic phenomena. In 2018, we began a project to examine racial/ethnic diversity in cancer research, with a commitment to review these disparities every 4 years. This report is our second assessment, detailing the present state of racial/ethnic diversity in cancer genomics and clinical trials. METHODS To study racial/ethnic inclusion in cancer genomics, we extracted ethnic records from all data sets available at cBioPortal (n = 125,128 patients) and cancer-related genome-wide association studies (n = 28,011,282 patients) between 2018 and 2022. Concerning clinical trials, we selected studies related to breast cancer (n = 125,518 patients, 181 studies), lung cancer (n = 34,329 patients, 119 studies), and colorectal cancer (n = 40,808 patients, 105 studies). RESULTS In cancer genomics (N = 28,136,410), 3% of individuals lack racial/ethnic registries; tumor samples were collected predominantly from White patients (89.14%), followed by Asian (7%), African American (0.55%), and Hispanic (0.21%) patients and other populations (0.1%). In clinical trials (N = 200,655), data on race/ethnicity are missing for 60.14% of the participants; for individuals whose race/ethnicity was recorded, most were characterized as White (28.33%), followed by Asian (7.64%), African (1.79), other ethnicities (1.37), and Hispanic (0.73). Racial/ethnic representation significantly deviates from global ethnic proportions ( P ≤ .001) across all data sets, with White patients outnumbering other ethnic groups by a factor of approximately 4-6. CONCLUSION Our second update on racial/ethnic representation in cancer research highlights the persistent overrepresentation of White populations in cancer genomics and a notable absence of racial/ethnic information across clinical trials. To ensure more equitable and effective precision oncology, future efforts should address the reasons behind the insufficient representation of ethnically diverse populations in cancer research.
Selected nursing diagnoses and interventions in patients with COVID-19 hospitalized during pandemic
Authors: Araminowicz-Kierklo Elżbieta , Sierpińska Lidia 
Published: April 2024

Introduction. In March 2020, the WHO announced global pandemic due to the outbreak of coronavirus disease (COVID-19) caused by the SARS-CoV-2 virus. COVID-19 is considered as a highly infectious disease, with a considerable mortality rate, especially among older people with concomitant diseases (heart failure, pulmonary diseases, arterial hypertension, diabetes). The pathogen affects mainly the respiratory system, and may also lead to acute respiratory distress syndrome, sepsis. In a severe state of health of a patient nurses make many nursing diagnoses, based on which they plan and implement nursing interventions to limit the risk of complications/death.
Objective. The aim of the study was presentation of selected nursing diagnoses and interventions in patients hospitalized due to COVID-19 during the period of pandemic.
Materials and Method. Nursing diagnoses and nursing interventions associated with these diagnoses were analyzed among patients hospitalized due to COVID-19 during pandemic, based on practical experiences in Poland.
Results. The COVID-19 pandemic was a new challenge for nurses in inpatient health care to provide patients with attentive care in a severe health condition. The efforts of nurses had to be focused on solving many care problems in the bio-psycho-social sphere in order to limit the risk of complications/death. The implementation of nursing interventions had to proceed smoothly, with consideration of the provision of secure environment of patient care and personal protection.
Conclusions. The symptoms of COVID-19 are frequently multisystemic and are related with the risk of complications/death. The presented nursing diagnoses and interventions in patients ill with COVID-19 disease are an example of the provision of high quality care of patients infected with SARS-CoV-2 virus. Nursing care of a patient with COVID-19 should be characterized by the subjective approach to the patient in accordance with the holistic concept of solving health problems in the bio-psycho-social sphere.
Predicting the immunity landscape and prognosis with an NCLs signature in liver hepatocellular carcinoma
Authors: Ji Zhangxin , Zhang Chenxu , Yuan Jingjing , He Qing , Zhang Xinyu , Yang Dongmei , Xu Na , Chu Jun 
Published: April 2024

BackgroundActivated neutrophils release depolymerized chromatin and protein particles into the extracellular space, forming reticular Neutrophil Extracellular Traps (NETs). This process is accompanied by programmed inflammatory cell death of neutrophils, known as NETosis. Previous reports have demonstrated that NETosis plays a significant role in immune resistance and microenvironmental regulation in cancer. This study sought to characterize the function and molecular mechanism of NETosis-correlated long non-coding RNAs (NCLs) in the prognostic treatment of liver hepatocellular carcinoma (LIHC).MethodsWe obtained the transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and evaluated the expression of NCLs in LIHC. A prognostic signature of NCLs was constructed using Cox and Last Absolute Shrinkage and Selection Operator (Lasso) regression, while the accuracy of model was validated by the ROC curves and nomogram, etc. In addition, we analyzed the associations between NCLs and oncogenic mutation, immune infiltration and evasion. Finally, LIHC patients were classified into four subgroups based on consensus cluster analysis, and drug sensitivity was predicted.ResultsAfter screening, we established a risk model combining 5 hub-NCLs and demonstrated its reliability. Independence checks suggest that the model may serve as an independent predictor of LIHC prognosis. Enrichment analysis revealed a concentration of immune-related pathways in the high-risk group. Immune infiltration indicates that immunotherapy could be more effective in the low-risk group. Upon consistent cluster analysis, cluster subgroup 4 presented a better prognosis. Sensitivity tests showed the distinctions in therapeutic effectiveness among various drugs in different subgroups.ConclusionOverall, we have developed a prognostic signature that can discriminate different LIHC subgroups through the 5 selected NCLs, with the objective of providing LIHC patients a more precise, personalized treatment regimen.
Use of bio-information and communication technology shortens time to peak at a lower height of the epidemic curve: An alternative to flattening for countries with early COVID-19 outbreaks
Authors: Hong Song Hee , Jiang Xinying , Kwon HyeYoung 
Published: April 2024

Introduction
The traditional approach to epidemic control has been to slow down the rate of infection while building up healthcare capacity, resulting in a flattened epidemic curve. Advancements in bio-information-communication technology (BICT) have enabled the preemptive isolation of infected cases through efficient testing and contact tracing. This study aimed to conceptualize the BICT-enabled epidemic control (BICTEC) and to document its relationships with epidemic curve shaping and epidemic mitigation performance.

Methods
Daily COVID-19 incidences were collected from outbreak to Aug. 12, 2020, for nine countries reporting the first outbreak on or before Feb. 1, 2020. Key epidemic curve determinants–peak height (PH), time to peak (TTP), and area under the curve (AUC)–were estimated for each country, and their relationships were analyzed to test if epidemic curves peak quickly at a shorter height. CFR (Case Fatality Rate) and CI (Cumulative Incidence) were compared across the countries to identify relationships between epidemic curve shapes and epidemic mitigation performance.

Results
China and South Korea had the quickest TTPs (40.70 and 45.37 days since outbreak, respectively) and the shortest PHs (2.95 and 4.65 cases per day, respectively). Sweden, known for its laissez-faire approach, had the longest TTP (120.36) and the highest PH (279.74). Quicker TTPs were correlated with shorter PHs (ρ = 0·896, p = 0·0026) and lower AUCs (0.790, p = 0.0028), indicating that epidemic curves do not follow a flattened trajectory. During the study period, countries with quicker TTPs tended to have lower CIs (ρ = .855, P = .006) and CFRs (ρ = 0.684, P = .061). For example, South Korea, with the second-quickest TTP, reported the second lowest CI and the lowest CFR.

Conclusions
Countries that experienced early COVID-19 outbreaks demonstrated the epidemic curves that quickly peak at a shorter height, indicating a departure from the traditional flattened trajectory. South Korea’s BICTEC was found to be at least as effective as most lockdowns in reducing CI and CFR.