bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kemampuan Komunikasi Matematis Ditinjau dari Self Regulated Learning pada Materi Sistem Persamaan Linear Dua Variabel
Authors: Sulastri Ega , Sofyan Deddy 
Published: June 2024

Kemampuan komunikasi matematis masih rendah. Perlu analisis untuk mendeskripsikan kemampuan komunikasi matematis, diantaranya ditinjau dari self-regulated learning siswa pada materi sistem persamaan linear dua variabel. Penelitian dilakukan secara kualitatif dengan metode deskriptif. Subjek penelitian yaitu tiga siswa kelas VIII SMP di Cimuncang, dipilih secara purposive. Teknik pengumpulan data menggunakan tes kemampuan komunikasi matematis, angket self-regulated learning siswa, dan wawancara. Teknik analisis data dilakukan dengan reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa dua subjek dengan kategori self-regulated learning tinggi, salah satunya belum memenuhi keempat indikator yang diaplikasikan dalam tes kemampuan komunikasi matematis. Sedangkan satu lainnya mampu memenuhi dua indikator. Satu siswa dengan self-regulated learning sedang belum memenuhi satupun indikator kemampuan komunikasi matematis. Self-regulated learning menjadi faktor yang perlu diperhatikan terkait dengan kemampuan komunikasi matematis siswa.
Mathematical communication skills are still low. An analysis is needed to describe mathematical communication skills, including in terms of students' self-regulated learning of the material of a two-variable linear equation system. The research was conducted qualitatively with a descriptive method. The research subjects were three grade VIII junior high school students in Cimuncang, selected purposively. Data collection techniques used mathematical communication skills tests, student self-regulated learning questionnaires, and interviews. The data analysis technique was carried out by data reduction, data presentation, and conclusion. The results showed that in two subjects with a high self-regulated learning category, one of them did not meet the four indicators applied in the mathematical communication ability test. While the other one can meet two indicators. One student with moderate self-regulated learning has not met any of the indicators of mathematical communication skills. Self-regulated learning is a factor that needs to be considered related to students' mathematical communication skills.
The effects of diabetes self-management programs on clinical and patient reported outcomes in older adults: a systematic review and meta-analysis
Authors: Alliston Paige , Jovkovic Milos , Khalid Saira , Fitzpatrick-Lewis Donna , Ali Muhammad Usman , Sherifali Diana 
Published: June 2024

ObjectivesWith diabetes self-management continuing to become more complex for older adults, self-management programs have been shown to support this population in meeting their multifaceted medical needs. Building on our previous systematic review and meta-analysis, we aimed to update the literature on the effectiveness of diabetes self-management programs and investigate the impact of specific self-management interventions on clinical and patient-reported outcomes.MethodsWe updated our literature search in the following databases: Medline, EMBASE, PsychINFO, CINAHL and Cochrane Database of Randomized Controlled Trials from November 2013 to July 2023 for studies that may fit our inclusion criteria. Two independent reviewers screened and extracted data from the included group of studies.ResultsA total of 17 studies with 21 comparison arms met the inclusion criteria, totalling 5976 older adults (3510 individuals randomized to self-management programming and 2466 to usual care). The pooled effectiveness of diabetes self-management programs in older adults on glycemic control (hemoglobin A1C) was a reduction of -0.32 (95% CI -0.44, -0.19). Specifically, the most effective approach on glycemic control (A1C) was the use of feedback (-0.52%; 95% CI -0.68, -0.36). Overall, self-management programs improved behaviour change outcomes, with feedback interventions being most effective (standardized mean difference [SMD] 0.91; 95% CI 0.39, 1.43). The effect of self-management programs on body mass index, weight and lipids were statistically and clinically significant.ConclusionsThe evidence for diabetes self-management programs for older adults demonstrates a small but clinically meaningful reduction in A1C, improvement in patient-reported outcomes (behaviour, self-efficacy, knowledge), and other clinical outcomes (BMI, weight and lipids). The specific strategy used in diabetes self-management programs for older adults should be considered to achieve optimal results on outcomes.
Exploring global research trends in Chinese medicine for atherosclerosis: a bibliometric study 2012–2023
Authors: Tan Moye , Wang Jiuyuan , Chen Zhengxin , Xie Xuejiao 
Published: June 2024

BackgroundWhile Traditional Chinese Medicine (TCM) boasts an extensive historical lineage and abundant clinical expertise in addressing atherosclerosis, this field is yet to be penetrated adequately by bibliometric studies. This study is envisaged to evaluate the contemporary scenario of TCM in conjunction with atherosclerosis over the preceding decade while also identifying forthcoming research trends and emerging topics via the lens of bibliometric analysis.MethodsLiterature pertaining to TCM and atherosclerosis, circulated between January 1, 2012 and November 14, 2023, was garnered for the purpose of this research. The examination embraced annual publications, primary countries/regions, engaged institutions and authors, scholarly journals, references, and keywords, utilizing analytical tools like Bibliometrix, CiteSpace, ScimagoGraphica, and VOSviewer present in the R package.ResultThis field boasts a total of 1,623 scholarly articles, the majority of which have been contributed by China in this field, with significant contributions stemming from the China Academy of Traditional Chinese Medicine and the Beijing University of Traditional Chinese Medicine. Moreover, this field has received financial support from both the National Natural Science Foundation of China and the National Key Basic Research Development Program. Wang Yong tops the list in terms of publication count, while Xu Hao's articles take the lead for the total number of citations, positioning them at the core of the authors’ collaborative network. The Journal of Ethnopharmacology leads with the most publications and boasts the greatest total number of citations. Principal research foci within the intersection of Chinese Medicine and Atherosclerosis encompass disease characteristics and pathogenic mechanisms, theoretical underpinnings and syndrome-specific treatments in Chinese medicine, potentialities of herbal interventions, and modulation exerted by Chinese medicines on gut microbiota.ConclusionThis analysis offers a sweeping survey of the contemporary condition, principal foci, and progressive trends in worldwide research related to Traditional Chinese Medicine (TCM) and atherosclerosis. It further delves into an in-depth dissection of prominent countries, research institutions, and scholars that have made noteworthy strides in this discipline. Additionally, the report analyzes the most cited articles, research developments, and hotspots in the field, providing a reference for future research directions for clinical researchers and practitioners.
Organizational resilience and transformational leadership for managing complex school systems
Authors: Zadok Ayala , Benoliel Pascale , Schechter Chen 
Published: June 2024

IntroductionIn the context of global challenges facing educational institutions, this study explores the dynamics between transformational leadership, collective teacher efficacy, and organizational resilience in school systems. Specifically, it examines the mediating role of collective teacher efficacy in the relationship between middle leaders’ transformational leadership and organizational resilience.MethodsThe study involved data collection from 103 middle-leaders and 506 randomly selected secondary school teachers across Israel. Structural equation modeling was used to analyze the data, focusing on the mediating role of collective teacher efficacy in the relationship between transformational leadership and organizational resilience.ResultsThe analysis revealed that collective teacher efficacy fully mediates the relationship between middle-leaders’ transformational leadership and organizational resilience. Middle-leaders’ transformational leadership positively impacts collective teacher efficacy, which in turn enhances organizational resilience. The study’s findings suggest that educational institutions can significantly increase their organizational resilience by fostering transformational leadership and strengthening collective teacher efficacy.DiscussionThe implications of these findings are both theoretical and practical. Theoretically, the study expands the understanding of the interplay between leadership styles and organizational resilience in educational settings. Practically, it provides insights for educational policymakers and practitioners aiming to enhance the resilience of schools by promoting transformational leadership and collective teacher efficacy.
Molecular dynamics simulation of carbon dioxide flow in kaolinite pores
Authors: Sun Zhigang , Yang Tianfang , Jiang Wenyin 
Published: June 2024

In order to estimate the effective storage capacity of carbon dioxide in geological storage, it makes great significance to understand the seepage mechanism of flowing carbon dioxide fluid and its influence on the occurrence state in micropore. In this paper, the molecular simulation method was used to obtain the optimal configuration of kaolinite micropore and carbon dioxide molecules. The molecular dynamics method was used to simulate the flow characteristics of carbon dioxide fluid in kaolinite pores in differential depth of burial under constant pressure drop. The results show that the adsorption capacity of carbon dioxide fluid on the wall of kaolinite decreases with the increase of burial depth, the fluid density in the center of the micropore increases with the increase of burial depth, the diffusion capacity of the fluid changes significantly when the burial depth is greater than 2 km; when a constant differential pressure is applied, the flow of carbon dioxide fluid in the pore conforms to the classical poiseulle flow, the diffusion ability of the fluid increases with the increase of burial depth, nearly doubling, and the slip length also increases with the increase of burial depth; the flow behavior significantly reduces the total amount of carbon dioxide in kaolinite micropore, where the density of the first adsorption layer near the wall decreases by at least 20%, and its effect on fluid is greater than that caused by the increase of burial depth. Therefore, when estimating the effective storage capacity of carbon dioxide in geological storage, the influence of pressure drop and burial depth on the total reduction of geological sequestration should be considered at the same time. The purpose is to provide more detailed theoretical basis for carbon dioxide geological sequestration.
Modeling seasonal ice and its impact on the thermal regime of a shallow boreal lake using the Canadian small Lake model
Authors: Kallel Habiba , Nadeau Daniel F. , Bouchard Benjamin , Thiboult Antoine , Mackay Murray D. , Anctil François 
Published: June 2024

At high latitudes, lake-atmosphere interactions are disrupted for several months of the year by the presence of an ice cover. By isolating the water column from the atmosphere, ice, typically topped by snow, drastically alters albedo, surface roughness, and heat exchanges relative to the open water period, with major climatic, ecological, and hydrological implications. Lake models used to simulate the appearance and disappearance of the ice cover have rarely been validated with detailed in situ observations of snow and ice. In this study, we investigate the ability of the physically-based 1D Canadian Small Lake Model (CSLM) to simulate the freeze-up, ice-cover growth, and breakup of a small boreal lake. The model, driven offline by local weather observations, is run on Lake Piché, 0.15 km2 and 4 m deep (47.32°N; 71.15°W) from 25 October 2019 to 20 July 2021, and compared to observations of the temperature profile and ice and snow cover properties. Our results show that the CSLM is able to reproduce the total ice thickness (average error of 15 cm) but not the ice type-specific thickness, underestimating clear ice and overestimating snow ice. CSLM manages to reproduce snow depth (errors less than 10 cm). However, it has an average cold bias of 2°C and an underestimation of average snow density of 34 kg m−3. Observed and model freeze-up and break-up dates are very similar, as the model is able to predict the longevity of the ice cover to within 2 weeks. CSLM successfully reproduces seasonal stratification, the mixed layer depth, and surface water temperatures, while it shows discrepancies in simulating bottom waters especially during the open water period.
Multiple sclerosis in Central America and Caribbean countries: frequency and clinical characterization of an emergent disease
Authors: Gracia Fernando , Ramírez Navarro Deyanira A. , Ramírez Sánchez Nicia E. , Weiser Roberto , Parajeles-Vindas Alexander , Portillo Rivera Ligia I. , Torres Ericka López , García Valle Luis A. , Sanabria-Castro Alfredo , Abdón López César , Araujo Pahola , Ayerdis Zamora Maria J. , Balmaceda-Meza Andrea , Benzadon Cohen Aron , Candelario Cueto Awilda , Castillo Diego , Castro-Escobar Romy , Corea Urbina Karla Z. , de Peña Rivas Anyeri , Sotelo Octavio Duarte , Enamorado Claros Temís , Giroud Benítez José L. , Gracia Karla , Larreategui Mario , Martínez Cerrato Jorge A. , Medina Báez Josmarlin P. , Menjivar Samayoa Carlos E. , Miranda-Loria Gustavo , Monterrey-Alvarez Priscilla , Morales Arguello Lilliam A. , Ortiz Michelle , Pérez Baldioceda Carlos D. , Pinilla Aguilar Lizeth , Salinas Luis C. Rodríguez , Rodríguez-Moreno Virginia , Rojas-Chaves Sebastián , Román-Garita Norbel , Santos Pujols Biany , Valderrama Carlos , Van Sijtveld Ivonne , Zabala Angeles Indhira , Rivera Victor M. , Armien Blas 
Published: June 2024

BackgroundMultiple Sclerosis (MS) is a common neurological disease among white populations of European origin. Frequencies among Latin Americans continue to be studied, however, epidemiologic, and clinical characterization studies lack from Central American and Caribbean countries. Ethnicity in these countries is uniformly similar with a prevalent Mestizo population.Methods and resultsData from January 2014 to December 2019 from Guatemala, El Salvador, Honduras, Nicaragua, Costa Rica, Panama, Dominican Republic, and Aruba on demographic, clinical, MRI and phenotypic traits were determined in coordinated studies: ENHANCE, a population-based, retrospective, observational study on incidence and clinical characteristics, and from the subgroup with MS national registries (Aruba, Dominican Republic, Honduras, and Panama), data on prevalence, phenotypes and demographics. Expanded Disability Status Scale (EDSS), and therapeutic schemes were included. ENHANCE data from 758 patients disclosed 79.8% of Mestizo ethnicity; 72.4% female; median age at onset 31.0 years and 33.2 at diagnosis. The highest incidence rate was from Aruba, 2.3–3.5 × 100,000 inhabitants, and the lowest, 0.07–0.15 × 100,000, from Honduras. Crude prevalence rates per 100,000 inhabitants fluctuated from 27.3 (Aruba) to 1.0 (Honduras). Relapsing MS accounted for 87.4% of cases; EDSS &lt;3.0 determined in 66.6% (mean disease duration: 9.1 years, SD ± 5.0); CSF oligoclonal bands 85.7%, and 87% of subjects hydroxyvitamin D deficient. Common initial therapies were interferon and fingolimod. Switching from interferon to fingolimod was the most common escalation step. The COVID-19 pandemic affected follow-up aspects of these studies.ConclusionThis is the first study providing data on frequencies and clinical characteristics from 8 countries from the Central American and Caribbean region, addressing MS as an emergent epidemiologic disorder. More studies from these areas are encouraged.
Identification of DNA motif pairs on paired sequences based on composite heterogeneous graph
Authors: Wu Qiuqin , Li Yang , Wang Qi , Zhao Xiaoyu , Sun Duanchen , Liu Bingqiang 
Published: June 2024

MotivationThe interaction between DNA motifs (DNA motif pairs) influences gene expression through partnership or competition in the process of gene regulation. Potential chromatin interactions between different DNA motifs have been implicated in various diseases. However, current methods for identifying DNA motif pairs rely on the recognition of single DNA motifs or probabilities, which may result in local optimal solutions and can be sensitive to the choice of initial values. A method for precisely identifying DNA motif pairs is still lacking.ResultsHere, we propose a novel computational method for predicting DNA Motif Pairs based on Composite Heterogeneous Graph (MPCHG). This approach leverages a composite heterogeneous graph model to identify DNA motif pairs on paired sequences. Compared with the existing methods, MPCHG has greatly improved the accuracy of motifs prediction. Furthermore, the predicted DNA motifs demonstrate heightened DNase accessibility than the background sequences. Notably, the two DNA motifs forming a pair exhibit functional consistency. Importantly, the interacting TF pairs obtained by predicted DNA motif pairs were significantly enriched with known interacting TF pairs, suggesting their potential contribution to chromatin interactions. Collectively, we believe that these identified DNA motif pairs held substantial implications for revealing gene transcriptional regulation under long-range chromatin interactions.
Broadening anticancer spectrum by preprocessing and treatment of T- lymphocytes expressed FcγRI and monoclonal antibodies for refractory cancers
Authors: Tang Lei , Sun Qinyi , Li Mengyuan , Yu Xiaoxiao , Meng Jinguo , Zhang Yun , Ma Yuxiao , Zeng Aizhong , Li Zhuolan , Liu Yuanyuan , Xu Xinyu , Guo Wei 
Published: June 2024

BackgroundChimeric antigen receptor T (CAR-T) cell therapies have achieved remarkable success in the treatment of hematological tumors. However, given the distinct features of solid tumors, particularly heterogeneity, metabolic aggressiveness, and fewer immune cells in tumor microenvironment (TME), the practical utility of CAR-T cells for solid tumors remains as a challenging issue. Meanwhile, although anti-PD-1 monoclonal antibody (mAb) has shown clinical efficacy, most mAbs also show limited clinical benefits for solid tumors due mainly to the issues associated with the lack of immune cells in TME. Thus, the infiltration of targeted immunological active cells into TME could generate synergistic efficacy for mAbs.MethodsWe present a combinational strategy for solid tumor treatment, which combines armored-T cells to express Fc-gamma receptor I (FcγRI) fragment on the surfaces for targeting various tumors with therapeutically useful mAbs. Choosing CD20 and HER-2 as the targets, we characterized the in vitro and in vivo efficacy and latent mechanism of the combination drug by using flow cytometry, ELISA and other methods.ResultsThe combination and preprocessing of armored T-cells with corresponding antibody of Rituximab and Pertuzumab exerted profound anti-tumor effects, which is demonstrated to be mediated by synergistically produced antibody-dependent cellular cytotoxicity (ADCC) effects. Meanwhile, mAb was able to carry armored-T cell by preprocessing for the infiltration to TME in cell derived xenograft (CDX) model.ConclusionsThis combination strategy showed a significant increase of safety profiles from the reduction of antibody doses. More importantly, the present strategy could be a versatile tool for a broad spectrum of cancer treatment, with a simple pairing of engineered T cells and a conventional antibody.
Causal role of immune cells in thyroid cancer: a bidirectional Mendelian randomization study
Authors: Fang Xianliu , Huang Xiaoxiao , Lu Jianhua , Su Danke 
Published: June 2024

BackgroundThe immune system plays an important role in the development and treatment of thyroid cancer(THCA).However, the correlation between immune cells and THCA has not been systematically studied.MethodsThis study used a two-sample Mendelian randomization (MR) study to determine the causal relationship between immune cell characteristics and THCA. Based on a large sample of publicly available genetic data, we explored the causal relationship between 731 immune cell characteristics and THCA risk. The 731 immunophenotypes were divided into 7 groups, including B cell panel(n=190),cDC panel(n=64),Maturation stages of T cell panel(n=79),Monocyte panel(n=43),Myeloid cell panel(n=64),TBNK panel(n=124),and Treg panel(n=167). The sensitivity of the results was analyzed, and heterogeneity and horizontal pleiotropy were excluded.ResultsAfter FDR correction, the effect of immunophenotype on THCA was not statistically significant. It is worth mentioning, however, that there are some unadjusted low P-values phenotypes. The odds ratio (OR) of CD62L on monocyte on THCA risk was estimated to be 0.953 (95% CI=0.930~0.976, P=1.005×10−4),and which was estimated to be 0.975(95% CI=0.961–0.989, P=7.984×10−4) for Resting Treg%CD4 on THCA risk. Furthermore, THCA was associated with a reduced risk of 5 immunophenotype:CD25 on CD39+ CD4 on Treg (OR=0.871, 95% CI=0.812~0.935, P=1.274×10−4), activated Treg AC (OR=0.884, 95% CI=0.820~0.953, P=0.001), activated &amp; resting Treg % CD4 Treg (OR=0.872, 95%CI=0.811~0.937,P=2.109×10−4),CD28- CD25++ CD8br AC(OR=0.867,95% CI=0.809~0.930,P=6.09×10−5),CD28-CD127-CD25++CD8brAC(OR=0.875,95%CI=0.814~0.942,P=3.619×10−4).THCA was associated with an increased risk of Secreting Treg % CD4 Treg (OR=1.143, 95% CI=1.064~1.229, P=2.779×10−4) and CD19 on IgD+ CD24+ (OR=1.118, 95% CI=1.041~1.120, P=0.002).ConclusionsThese findings suggest the causal associations between immune cells and THCA by genetic means. Our results may have the potential to provide guidance for future clinical research.