bluuebunny/crossref_metadata_2025_split huggingface dataset:
ÖĞRENME GÜÇLÜĞÜ OLAN OKUL ÖNCESİ DÖNEMİ ÇOCUKLARINA YÖNELİK BİR DERLEME ÇALIŞMASI
Authors: ÇAKMAK Selin , ERKOÇ YILDIZ Cansın , KIZILDAĞ Melek 
Published: July 2023

Genel özellikleri açısından bakıldığında öğrenme güçlüğü, “bilişsel yetenekleri normal sınırlar içinde veya üstünde olmakla birlikte, öğrenme sorunları yaşanması” olarak tanımlanmaktadır. Bu tanımı açarsak; bireyde dinleme, konuşma, okuma, yazma, akıl yürütme ve matematik yeteneklerinin kazanılmasında ve kullanılmasında önemli güçlükler görülmesidir. Bu bozukluğun tanılanmasında ayırıcı özelliğin, zeka düzeyi normal ya da normal üstü bireylerde görülüyor olması, okul öncesi dönemde bu sıkıntıların göz ardı edilmesi ya da fark edilememesi sonuçlarını beraberinde getirmektedir. Ayrıca öğrenme güçlüğü tanımlanırken okuma, yazma ve matematik alanlarında yaşıtlarından belirgin düzeyde gerilik özelliğinin vurgulanması da bireylerin genel olarak ilköğretim 2. ve 3. sınıflarda sorunlarla yüzleşmelerine neden olmaktadır. Ancak öğrenme güçlüğü sadece okuma, yazma ve matematik alanlarındaki geriliğin dışında bireyin yaşamıyla ilgili tüm alanları etkileyen bir durumdur. Aileler çocuklarında bir farklılık olduğunu çoğu zaman fark ederler. Ancak tam olarak adlandıramadıkları için ileriki yaşlarda bu sorunların geçeceği düşüncesi ile ertelerler. İyi bir gözlem ve yetkin uzman danışmanlığıyla çocukta fark edilen davranışlar, bize bu bozuklukla ilgili çocuğun risk altında olup olmadığını açıklayabilir. Özellikle erken farkındalık için okul öncesi dönemde öğrenme güçlüğü olan çocuklara yönelik çalışmaların yürütülmesi kritik bir öneme sahiptir. Buradan yola çıkarak bu çalışmanın amacı; okul öncesi dönemindeki çocuklarda öğrenme güçlüğünün sebeplerini, belirtilerini ve erken tanılamanın önemini ortaya koyarak aileler ve diğer tüm eğitim paydaşlarında farkındalık oluşturmaya yönelik bir araştırma ortaya koymaktır. Bu amaç doğrultusunda okul öncesi dönemde öğrenme güçlüğü hakkında yapılmış çalışmalardan yola çıkarak bie derleme yapılmış ve çalışma sonunda önerilerde bulunulmuştur.
Active Labyrinthine Transmissive Ultrasonic Metamaterial
Authors: Choi Christabel , BANSAL SHUBHI , Hardwick James , Münzenrieder Niko , Tiwari Manish , Subramanian Sriram 
Published: July 2023

Abstract
It is highly desirable to engineer multiple operational states in a single metamaterial device. Here, we present a powerful approach to transform a conventionally passive metamaterial into an actively reconfigurable metamaterial, using dynamic standalone unit cells, called dynamic meta-bricks. These 3D-printed meta-bricks comprise an actuatable internal magnetorheological elastomeric flap, designed for active ultrasonic (40 kHz) transmission and modulation. Computational assembly of dynamic and static meta-bricks generates controllable hybrid metamaterial stacks, within a composite metasurface. We demonstrate for the first time, dynamic acoustic levitation with a transmissive metasurface, showcasing that partial peripherally localised actuation, can enable full array operational dynamicity. Without re-assembly, actuating the dynamic meta-bricks shifts an acoustically trapped bead in mid-air in real-time, while maintaining acoustic levitation. This work uncovers the potential for strategic synergy between active and passive reconfigurability, opening novel possibilities to develop versatile, integrated, multifunctional metamaterials with enhanced degrees of freedom in design and control.
Prediction of Mechanical Properties of FDM Printed PLA Parts using Response Surface Methodology.
Authors: Thakur Ayushi , Vates Umesh Kumar , Mishra Sanjay 
Published: July 2023

Abstract
Purpose: In the present work significant process parameters (nozzle temperature, layer thickness, and printing speed) are optimized for enhancing the mechanical properties of fused deposited PLA specimens. The selected parameters in this study critically impact the desired mechanical properties of printed PLA parts.
Design/ Methodology/ Approach: The three selected critical process parameters are simultaneously studied in a systematic manner using a hybrid statistical tool central composite design (CCD) for Response surface methodology. The selected printing parameters are layer thickness, nozzle temperature, and printing speed.
Findings: The best composition of the tensile strength (50.5479 MPa) & flexural strength (95.0163 MPa) has been produced with an RSM predicted model having process parameters layer thickness 0.2313mm, nozzle temperature 208 °C, and printing speed 55.5 mm sec-1 Based on the results of the validating method, by producing an optimal sample in accordance with optimal parameters and their mechanical properties measurements, it was found that the optimal values of parameters are giving the maximum mechanical properties and the RSM Method has a high ability to optimize the parameters.
Research Implications: Tensile Strength and Flexural strength are the two important features that need a stent to withstand the forces exerted on it by the surrounding tissues and blood flow and to be able to bend and conform to the shape of the artery during insertion and deployment. This study focuses on nozzle temperature, printing speed, and layer thickness in the experimental estimation of the ideal PLA polymer FDM part characteristics. Results show that Layer thickness and Nozzle Temperature are the dominating contributors to the mechanical responses (tensile strength & Flexural strength).
The therapeutic effect of Loranthus parasiticus lignans derivatives on collagen-induced arthritis in rats through SHBG/NFκB pathway
Authors: Bai Jiali , Zhang Cong , Liu Yulin , Kuang Nanzhen , Xu Liangquan , Xu Zhengang , Wang Haiwei , Liu Renping 
Published: July 2023

Abstract
Lignan-rich beans, nuts, and various seeds are the main protective food with antioxidative and hormones modulating activity. However, although the role of lignans in mediating hormone-dependent cancers, and cardiovascular disease is well characterized, the function of lignans in anti-arthritic activity and its actual mechanisms remain unknown. A set of three new lignan derivatives named (-)-nortrachelogenin, trachelogenin, and matairesinol were extracted from Loranthus parasiticus. After the establishment of collagen-induced arthritis (CIA) model by intradermal injection of collagen, rats were treated with the mixed three new lignan derivatives ((-)-nortrachelogenin: 37%; trachelogenin: 27%; matairesinol: 25.7%) at a concentration of 50 mg/kg and 100 mg/kg, or methotrexate of 0.3 mg/kg. The mixed lignan derivatives significantly attenuated the immune responses in the joints of CIA rats, resulting in decreased levels of pro-inflammatory cytokine (IL-6, TNF-α) and boosted free androgen in serum compared to the CIA model. The results of molecular docking via the AutoDock Vina showed that lignan derivative (-)-nortrachelogenin is the most effective compound for binding to SHBG, then leading to inhibiting the activity of NFκB in LPS-stimulated macrophages. In this study, (-)-nortrachelogenin was identified as the previously unrecognized anti-inflammatory activity of natural lignan new derivative, and its molecular mechanism is related to the regulating NFκB/SHBG pathway. Our findings suggest further application of sex hormone-like compounds in treating rheumatoid arthritis and potential clinical applications of (-)-nortrachelogenin.
The effect of childhood trauma on social networking websites addiction among Chinese college students: A moderated mediation model of insecure attachment and basic psychological need satisfaction
Authors: Wang Lingli , Chen Yunli , Zhang Wanzhu , Cai Yixi 
Published: July 2023

Abstract
People who experience childhood trauma are prone to developing psychiatric disorders and addictive behaviors. However, the relationship between childhood trauma and specific types of internet use (e.g., social media) has not been exactly proven. This study aims to explain the relationship between childhood trauma and social networking websites addiction by testing the possible mediating role of insecure attachment and the moderating role of basic psychological need satisfaction. A sample of 1281 Chinese college students was tested by using a series of self-report questionnaires on childhood trauma, attachment, basic psychological need satisfaction, and social networking websites addiction. The results showed that the relationship between childhood trauma and social networking websites addiction showed positively, furthermore, attachment anxiety and attachment avoidance mediated this relationship; Moderated mediation analyses showed that the pathway between childhood trauma and social networking websites addiction was moderated by basic psychological need satisfaction. Results suggest college students with Childhood trauma experience and insecure attachment styles may be at higher risk for social networking websites addiction and support intervention efforts for fostering attachment and basic psychological need satisfaction relationship to attenuate the association between childhood trauma experience and social networking websites addiction.
Genetically determined cheese intake and risk of arterial diseases, frailty, and oral disease: a Mendelian randomized study
Authors: Zhang Zhan , Li Jianfeng , Angwen Chenglinlongzhu , Li Xinghui , Wang Bowen , Li Yanling , Wang Rong , Li Ruizhen , Xie Ping 
Published: July 2023

Abstract
Background Observational studies suggest a possible correlation between cheese intake and certain arterial diseases, frailty, and oral disease. However, the causal relationship between them is unclear.Objective The aim of this study was to investigate the possible causal effects of genetic prediction of cheese intake with certain arterial diseases, frailty, and oral disease.Methods This study explored possible causal effects of exposure and outcome based on data from genome-wide association studies in a two-sample Mendelian randomization (MR) study.Results The findings showed that genetically predicted cheese intake was associated with coronary atherosclerosis (odds ratio (OR) = 0.986; 95% confifidence interval (CI): 0.976–0.996; P = 0.0048), peripheral atherosclerosis (OR = 0.558; 95% CI: 0.369–0.843; P = 0.0056), atherosclerosis (excluding cerebral, coronary, and peripheral arteries) (OR = 0.803; 95% CI: 0.741–0.871; P = 0.0427), frailty index (OR = 0.803; 95%CI: 0.746–0.865; P = 9.36E-08), chronic periodontitis (OR = 0.558; 95% CI: 0.349–0.890; P = 0.0145 ) and acute periodontitis(OR = 0.235; 95% CI: 0.062–0.893; P = 0.0335) were negatively associated. Also, no association was observed between cheese intake and cerebral atherosclerosis (OR = 0.909; 95% CI: 0.073–11.288; P = 0.9408) and dental caries (OR = 1.018; 95% CI: 0.676–1.533; P = 0.9337).Conclusion This MR study found a negative association between cheese intake and coronary atherosclerosis, peripheral atherosclerosis, atherosclerosis (excluding cerebral, coronary, and peripheral arteries), frailty, and periodontitis.
Atomic-scale manipulation of buried graphene – SiC interface by local electric field
Authors: Kolmer Marek , Hall Joseph , Chen Shen , Han Yong , Tringides Michael 
Published: July 2023

Abstract
Unprecedent precision of scanning tunneling microscopy (STM) enables control of matter at scales of single atoms. However, transition from atomic-scale manipulation strategies to practical devices encounters fundamental problems in protection of the designer structures formed atop the surface. In this context, STM manipulation of subsurface defects on technologically relevant materials is encouraging. Here, we propose a material platform and experimental protocols for ultimately precise manipulation of a buried interface. We show that an electric field from the STM-tip reversibly controls local coupling between the graphene buffer layer and the SiC substrate under epitaxial bilayer graphene (BLG). This process is vertically defined by the atomically sharp interface, located ~1 nm below the top graphene layer, and laterally by single sites from its (6×6)SiC moiré lattice. Local and reversible electric-field-induced patterning of BLG heterostructure on SiC from its bottom interface creates a novel architecture concept for epitaxial graphene applications.
Multivariate statistical methods for analysis of physicochemical and microbiological parameters of well water from the village M’Pody
Authors: N’Dri Aubin Yao , Assohoun Stanislas Egomli , Okou Cyrille Guei , Gbagbo Georges Aubin Tchapé , Meless Renaud Franck Djedjro , Amin Christophe N’Cho 
Published: July 2023

Abstract

The aim of this article is to analyze well water from the village M’Pody using multivariate statistical analysis methods. Sixteen physicochemical and micro-biological parameters from four well water sampling campaigns in 2020 were analyzed. A descriptive statistical analysis was used to study the non-potability of these waters. Next, a combination of principal component analysis (ACP), facto-rial correspondence analysis (AFC) and Kohonen’s self-organizing map is used to highlight the different well profiles in the study area. Finally, analysis of variance (ANOVA) was used to prove the contribution of these wells on microbiological parameters.
Identification and Analysis of Pivotal Genes in Type 2 Diabetes Mellitus Combined With Non-Alcoholic Fatty Liver Disease
Authors: Xiao Shan , Yang Ye , Wang Qin 
Published: July 2023

Abstract
Objective
Type 2 diabetes combined with non-alcoholic fatty liver disease (NAFLD) rapidly increases the risk of developing cirrhosis or even liver failure in type 2 diabetes, and no drugs have yet emerged to specifically treat this disease. Therefore, it is urgent to find the precise targets for the pathogenesis of type 2 diabetes combined with NAFLD. Thus, this paper uses bioinformatics to analyze the candidate genes involved in diabetes combined with NAFLD and their potential mechanisms.
Methods
GSE49541 was downloaded from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) associated with NAFLD.The DEGs were intersected with the three major metabolism-related genes, and the co-expressed DEGs were subjected to functional enrichment analysis and WGCNA (Weighted Gene Co-Expression Network Analysis) analysis to construct modules closely related to NAFLD in T2DM, thereby screening the target modules for genes and lncRNAs that were significantly enriched,and constructing lncRNA and mRNA co-expression networks related to the metabolism of the three substances. In the Comparative Toxicogenomics Database (CTD), we obtained genes and pathways directly related to NAFLD and T2DM, constructed disease pathways involved in NAFLD and T2DM disease genes, and combined with GSEA analysis to screen out core genes, related lncRNAs and key pathways.
Results
A total of 641 DERs were obtained by differential analysis, and 251 overlapping gene DEGs were obtained by taking intersections in the three major metabolisms, which were analyzed by GO and KEGG enrichment, and these overlapping DEGs were involved in 666 GO analysis and 44 KEGG enrichment analysis results. They were mainly associated with metabolic processes such as lipid metabolism, fatty acid metabolism and amino acid metabolism, PPAR signalling pathway, ketone body synthesis and degradation. The 25 hub genes in the brown module and the 96 hub genes in the turquois module were obtained by WGCNA analysis, respectively. Finally, by constructing a lncRNA-mRNA-KEGG co-expression network, four disease genes (AHCY, PEMT,CYP2E1, GNMT) were obtained as possible candidate biomarkers for type 2 diabetes combined with NAFLD. Six lncRNAs associated with disease genes were also obtained: RAB11B-AS1, LINC01018, LINC01806, LINC00844, NNT-AS1, LINC01128.
Conclusion
The pathogenesis and progression of type 2 diabetes mellitus combined with non-alcoholic fatty liver disease is caused by multiple pathways, which also provides clinicians with potential therapeutic tools for its treatment.
Effect of SARS-CoV-2 infection on IVF/ICSI-ET outcomes: A propensity score-matched cohort study
Authors: Li Yanhui , Ding Xiaofang , Luo Dan , Li Tao , Liu Lin , Li Bingjie , Chen Chunyan , Liu Yi , Ding Hui 
Published: July 2023

Abstract
Background: The SARS-CoV-2 virus is continually evolving, and the worldwide epidemic is still ongoing. There is conflicting evidence regarding how SAS-CoV-2 infection affects the outcomes of assisted reproductive technology (ART). The aim of the current study was to investigate whether the outcomes of in vitro fertilization (IVF) treatment were affected during the acute period of SARS-CoV-2 infection or immediately after recovery from COVID-19.
Methods: In this retrospective cohort study, SARS-CoV-2-infected couples who underwent IVF treatment at Wuhan Union Hospital within the first three months following the lifting of the pandemic policy in mainland China were propensity-score matched (PSM) to uninfected couples who received IVF during the dynamic COVID-zero policy. Following matching, 358 and 698 patients were assigned to the SARS-CoV-2-infected and uninfected groups, respectively. The laboratory and clinical outcomes of the two groups were compared.
Results: The average number of oocytes retrieved, mature oocyte rates, normal fertilization rates, abnormal fertilization rates, and cleavage rates did not differ significantly between the two groups. The blastocyst formation rates were considerably lower in the infected group than in the uninfected group. Stratification by time from SARS-CoV-2 infection to oocyte retrieval (≤ 30, 31-60, 61-90 and ≥90 days) revealed that both blastocyst formation and available blastocyst rates were significantly decreased when oocyte retrieval was performed 31-60 days after SARS-CoV-2 infection. However, after the first embryo transfer cycle, there were no significant differences in the rates of embryo implantation, biochemical pregnancy, clinical pregnancy or early abortion between the two matched cohorts.
Conclusion: SARS-CoV-2 infection had no effect on clinical outcomes after the first embryo transfer cycle; however, the blastocyst formation rate was significantly lower in couples who underwent IVF treatment 31-60 days after SARS-CoV-2 infection, indicating that SARS-CoV-2 infection may still impair embryo developmental potential.
Analysis of nighttime aerosols and relation to covariates over a highly polluted sub- Saharan site using wavelet coherence approach
Authors: Tariq Salman 
Published: July 2023

Abstract
High emissions of aerosols and trace gases during nighttime can cause serious air quality, climate, and health issues, particularly in extremely polluted cities. In this paper, an effort has been made to examine the variations in aerosols and trace gases over a sub-Saharan city of Ilorin (Nigeria) during nighttime. We have used Aerosol Robotik Network data of aerosol optical depth at 500 nm (AOD), Angstrom Exponent (440/870) (AE) and precipitable water (WVC). We also analyzed nighttime data of CO, CH4 and O3 from Atmospheric Infrared Sounder (AIRS), and aerosol subtypes from CALIPSO. AOD, AE, and WVC average values are found to be 0.64 ± 0.33, 0.74 ± 0.24, and 3.40 ± 0.97, respectively. As a result of northeasterly winds carrying Saharan dust during the dry season, the greatest value of AOD was discovered in February. Desert dust aerosols (37.63%) were the most prevalent type, followed by mixed aerosols (44.15%). Winds at a height of 1500 m AGL were likely transporting Saharan dust to Ilorin. CALIPSO images revealed that Ilorin's atmosphere contained dust, polluted continental, clean maritime, and polluted dust on high AOD days. The NOAA's vertical sounding profiles showed that the presence of high AOD values were caused by the inversion layer trapping aerosol pollution. Average nighttime concentrations of CO, O3 and CH4 were measured to be 12718 ppbv, 29.72.1 ppbv, and 1822.612.7 ppbv, respectively. The wavelet coherence spectra exhibited significant quasi-biannual, and quasi-annual oscillations at statistically significant level.
Association between dietary carotenoid intakes and abdominal aortic calcification in adults: National Health and Nutrition Examination Survey 2013 – 2014
Authors: Chen Weidong , Li Yuanqing , Li Min , Li Hai , Chen Caifang , Lin Yanzhao 
Published: July 2023

Abstract
Objective: Abdominal aortic calcification (AAC) is an important marker of subclinical atherosclerosis and a predictor of cardiovascular disease. This study aims to explore the association between carotenoid intakes and AAC.
Methods: We included 2889 participants from the National Health and Nutrition Examination Survey (NHANES). Dietary carotenoid intakes were obtained through 24-h dietary recall interviews. Severe AAC was defined as a Kauppila score > 5. The main analysis utilizes logistic and restricted cubic spline models.
Result: Severe AAC was detected in 378 (13.08%) participants. In fully adjusted models, the odds ratios (OR) with 95% confidence intervals (CI) of α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein with zeaxanthin, and total carotenoid intakes for individuals with severe AAC were 0.53 (0.23 to 0.77), 0.39 (0.19 to 0.80), 0.18 (0.05 to 0.62), 0.40 (0.20 to 0.78), 0.53 (0.32 to 0.88) and 0.38 (0.18 to 0.77) in the highest versus lowest quartile intake, respectively. Dose-response analyses revealed that all of the carotenoids were associated with decreased risk of severe AAC in a nonlinear trend. Total carotenoid intakes of at least 100ug/kg/day was associated with decreased odds for severe AAC.
Conclusion: α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein with zeaxanthin, and total carotenoids were inversely associated with the risk of severe AAC in adults.
Variable Importance Measures for Variable Selection and Statistical Inference in Multivariate Random Forests
Authors: Sikdar Sharmistha , Hooker Giles , Kadiyali Vrinda 
Published: July 2023

Abstract
Multivariate random forests (or MVRFs) are an extension of tree-based ensembles to examine multivariate responses. MVRF can be particularly helpful where some of the responses exhibit sparse (i.e., zero-inflated) distributions, making borrowing strength from correlated features attractive. Tree-based algorithms select features using variable importance measures (VIMs) that score each covariate based on the strength of dependence of the model on that variable. In this paper, we develop and propose new VIMs for MVRFs. Specifically, we focus on the variable’s ability to achieve split improvement, i.e., the difference in the responses between the left and right nodes obtained after splitting the parent node, for a multivariate response. Our proposed VIMs are an improvement over the default VIM in existing software that are based on naïve measures like frequency of variable usage in an MVRF and allow us to investigate the strength of dependence both globally and on a per-response basis. Our simulation studies show that our proposed VIM recovers the true predictors better than naïve measures. We demonstrate usage of the proposed VIMs for variable selection in two empirical applications; the first is on Amazon Marketplace data to predict Buy Box prices of multiple brands in a category, and the second is on ecology data to predict co-occurrence of multiple, rare bird species. A feature of both data sets is that some outcomes are sparse – exhibiting a substantial proportion of zero values. In both cases the proposed VIMs when used for variable screening give superior predictive accuracy over naïve measures.