bluuebunny/crossref_metadata_2025_split huggingface dataset:
Repellency, Toxicity and Chemical Composition of Different Clove (Syzygium aromaticum) Parts Against Rice Weevil (Sitophilus oryzae)
Authors: Bandara Pramod , Senevirathne Mahinda 
Published: June 2022

Abstract
The post-harvest loss of rice during storage due to insect infestation, particularly by rice weevil (Sitophilus oryzae), and the utilization of synthetic insecticides for pest management are two major concerns in the current world. Therefore, this study aimed to evaluate the potential of clove (Syzygium aromaticum) part formulations as alternatives to S. oryzae management. The contact repellent activity of clove part essential oils was tested by the filter paper impregnated method. The fumigation mortality of essential oils was tested, and mortality percentage & LD50 values were computed. Further, the composition of essential oils was analyzed using Gas Chromatography–Mass Spectrometry. The yield of clove stem essential oil (5.52%) was significantly higher than leaf essential oil (3.92%). Among two essential oils, stem oil with a 100 µL dose showed the highest repellency (100.00±0.00%) and mortality (96.67±3.33%) while 50 and 75 µL doses caused similar mortality (83.30±3.33%) after 5 days. The lowest LD50 (28.06 µLL-1) was observed on day 5, indicating the higher toxicity of stem oil. Eugenol (73.73 & 82.56%), β-caryophyllene (24.84 & 16.67%), α.-humulene (0.82 & 0.33%) and 1S, CIS-calamenene (0.14 & 0.03%) were detected as the major components responsible for the repellent and insecticidal potential of stem and leaf essential oils. Hence, clove parts could be potential biopesticides, and clove stem essential oil could be the most effective alternative for rice weevil management.
Autapse-induced logical resonance in the FitzHugh–Nagumo neuron
Authors: Yao Yuangen , Yao Chenggui 
Published: June 2022

Abstract
It was demonstrated that the chaos-driven FitzHugh–Nagumo (FHN) neuron can be considered as a logic system to implement the reliable logic operation through logical resonance. Signal transmission between neurons is dependent on an essential component called synapse. Autapse (meaning the self-synapse) widely exists in various kinds of neurons, and it significantly affects the neuronal dynamics and functionalities. However, the effects of autapse on logical resonance have not been reported yet. Here, we explore the effects of autapse on the reliability of logical operation based on the autaptic FHN neuron with time-dependent coupling intensity. Our results demonstrate that there are the optimal ranges of autaptic time delay τ, the amplitude and frequency of coupling intensity, and phase fluctuation at which the reliability of logical operation can be maximized. That is, autapse-induced logical resonance can be realized in the autaptic FHN neuron. More interestingly, multiple logical resonance can be observed by regulating time delay, frequency ratio between oscillating coupling intensity and external input, and phase fluctuation. The results presented here provide the novel phenomena, and may have implications in understanding the logic gate-like functionalities in the nervous systems.
A novel machine learning approach on texture analysis for automatic breast microcalcification diagnosis classification of mammogram images
Authors: Sarvestani Zahra Maghsoodzadeh , Jamali Jasem , Taghizadeh Mehdi , Dindarloo Mohammad Hosein Fatehi 
Published: June 2022

Abstract
Screening programs use mammography as a diagnostic tool for the early detection of breast cancer. Mammogram enhancement is used to increase the local contrast of the mammogram so that the lesions are more visible in the advanced image. For accurate diagnosis in the early stage of breast cancer, the appearance of masses and microcalcification on the mammographic image are two important indicators. The objective of this study was to evaluate the feasibility of automatic separation of images of breast tissue microcalcifications and also to evaluate its accuracy by using two techniques of image enhancement and highlighting of breast tissue microcalcifications for the desired areas by regional ROI based on fuzzy system and also Gabor filtering method. After determining the clusters of breast tissue microcalcifications, the clusters are classified using the decision tree classification algorithm. Then, for segmentation, samples suspected of microcalcification are highlighted and masked, and in the last stage, tissue characteristics are extracted. Subsequently, with the help of artificial neural network (ANN), determining the benign and malignant types of segmented ROI clusters was accomplished. The proposed system is trained with a Digital Database for Screening Mammography (DDSM) developed by the University of South Florida, USA, and the simulations are performed under MATLAB software and the results are compared with previous work. The results of this training performed under this work show an accuracy of 93% and an improvement of sensitivity above 95%, which indicates that the proposed approach can be applied to ensure breast cancer diagnosis.
Coronary computed tomography angiography as a screening tool for moderate-high risk asymptomatic type 2 diabetes mellitus patients
Authors: Liu Qiaolu , Qiu Jianfeng , Sun Shuxin , Zhao Huihui 
Published: June 2022

Abstract
Background
There are few data on the clinical significance of coronary computed tomography angiography (CCTA) in asymptomatic type 2 diabetes mellitus (T2DM) patients. We performed a retrospective study to evaluate coronary heart disease screening in asymptomatic patients with T2DM using CCTA and coronary heart disease risk stratification prediction.
Methods
Data from 141 type 2 diabetes mellitus patients (58 ± 8 years, 57% males) without known symptoms suggestive of coronary heart disease who underwent CCTA were retrospectively analyzed. The patients were classified into three subgroups based on United Kingdom prospective diabetes study (UKPDS) coronary heart disease risk stratification prediction. Ninety-three patients without diabetes mellitus and coronary heart disease who underwent CCTA successively were chosen as the control group. The segment involvement score (SIS), segment stenosis score (SSS), stenosis coefficient (SC) and severe proximal plaque (SPP) positive ratio based on CCTA data were evaluated and compared among the groups.
Results
Compared with the patients in the control group, patients in the moderate-high risk DM groups had higher scores on the SIS, SSS and SC and a higher SPP positive ratio (all p values < 0.001), and no difference was observed between the low-risk group and the control group (p = 0.147, p = 0.116, p = 0.132, p = 0.663, respectively). Compared with patients in the control group, the patients in the moderate-high risk DM groups had increased odds of SIS > 3 (OR = 7.838, p < 0.001; OR = 5.325, p < 0.001, respectively), SSS > 5 (OR = 6.750, p < 0.001; OR = 6.027, p < 0.001, respectively) and obstructive stenosis (OR = 7.900, p < 0.001; OR = 6.320, p < 0.001, respectively).
Conclusions
The moderate-high coronary heart disease risk patients had increased odds of obstructive coronary artery stenosis, and the distribution of coronary artery stenosis was more extensive and more severe in that group compared to the patients without diabetes mellitus and coronary heart disease. Coronary heart disease can be effectively screened in moderate-high risk asymptomatic type 2 diabetes mellitus patients using CCTA.
Effects of Fluoxetine on gut Microbiota in Chronic Unpredictable Stress-Induced Depressive-Like Rats
Authors: Dong Hui , Tang Xiaowei , Ye Jie , Xiao Wenhuan 
Published: June 2022

Abstract
Objectives: Gut microbiota is relevant to the pathogenesis of mental disorders including depression. This study aimed to investigate the influence of fluoxetine (FLX) on gut microbiota in rats with chronic unpredictable mild stresses (CUMS)-induced depression. Results: We confirmed that the 28-day CUMS induced depression rat model. Chronic FLX administration weakly improved depressive-like behaviors in rats. Illumina 16S rRNA gene sequencing on rat feces showed CUMS increased the relative abundance of Firmicutes (60.31% vs. 48.09% in Control, p <0.05) and Lactobacillus genus (21.06% vs. 6.82% in control, p <0.05); FLX and CUMS increased Bacilli class (20.00% ~ 24.08% vs. 10.31% in control, p <0.05). Conclusions: Collectively, our study showed that both CUMS and FLX changed the compositions of gut microbiota in rats. FLX and CUMS distinctly regulated the gut microbiota in depressed rats.
Palbociclib induces the apoptosis of lung squamous cell carcinoma cells via Rb-independent STAT3 phosphorylation
Authors: Xiang Wenjing , Qi Wanchen , Li Huayu , Sun Jia , Dong Chao , Ou Haojie , Liu Bing 
Published: June 2022

Abstract
Lung squamous cell carcinoma (LUSC) treatment response is poor and treatment alternatives are limited. Palbociclib, a cyclin-dependent kinase (CDK) 4/6 inhibitor, has recently been approved for hormone receptor-positive breast cancer patients and applied in multiple preclinical models, but its use for LUSC therapy remains elusive. Here, we investigated whether palbociclib induced cell apoptosis and dissected the underlying mechanism in LUSC. We found that palbociclib induced LUSC cell apoptosis through inhibition of Src tyrosine kinase/signal transducers and activators of transcription 3 (STAT3). Interestingly, palbociclib reduced STAT3 signaling in LUSC cells interfered by retinoblastoma tumor suppressor gene (RB), suggesting that pro-apoptosis effect of palbociclib was independent of classic CDK4/6-RB signaling. Furthermore, palbociclib could suppress IL-1β and IL-6 expression, and therefore blocked Src/STAT3 signaling, which were rescued by either recombinant human IL-1β or IL-6. Moreover, Myc mediated the sensitivity of LUSC cells to palbociclib. Our findings that palbociclib induces apoptosis of LUSC cells through the Src/STAT3 axis in RB-independent manner, and provide options for clinical LUSC patients.
MR imaging characteristics of slow- and rapid-growing meningiomas: a cohort study of 165 cases
Authors: He Lei , Liang Yuchao , Fan Ziwen , Liu Yukun , Zhou Chunyao , Zhu Qiang , Zhang Hong , Li Tianshi , Yang Jianing , Zhou Yanpeng , Wang Jiaxiang , Wang Lei 
Published: June 2022

Abstract
Introduction: The growth rate of meningiomas varies greatly (0.01 to 2.58 cm3/year).An inappropriate ‘wait and see’ treatment strategy, such as a follow-up interval of MRI longer than 2 years, for rapid growing meningioma (RGM) may seriously increase the risk of subsequent surgery and may eliminate the opportunity for operation. Our purpose was to compare the MR imaging features of slow-growing meningiomas (SGMs) and RGMs and identify the factors that could predict RGM.Methods: We retrospectively collected SGM and RGM data between 2016 and 2021 in Beijing Tiantan Hospital and then used IBM SPSS software to analyze the clinical and MR imaging features between the two groups.Results: Eighty-seven SGM and 78 RGM were collected in our study. Male sex had a 2.896-fold risk of predicting RGM in multivariate analysis (P = 0.048). Patient age, tumor shape and location showed no significant difference between the two groups (P = 0.562, P = 0.514, P = 0.094, respectively). Meningiomas with diameters > 2.5 cm had a higher risk of growing rapidly (multivariate analysis, HR: 3.484, P = 0.006). The presence of peritumoral edema and absence of hypointensity on T2W-MRI were significantly associated with RGM (multivariate analysis; HR: 6.990, P < 0.001; HR: 3.753, P = 0.008;, respectively).Conclusions: Male sex, peritumoral edema, tumor size > 2.5 cm and absence of hypointensity on T2W-MRI may indicate the potential for rapid growth of meningiomas.
Narrative Visualizations Best Practices and Evaluation: A Systematic Mapping Study
Authors: Airaldi Andrea Lezcano , Irrazábal Emanuel , Diaz-Pace Jorge Andrés 
Published: June 2022

Abstract
In recent years, there has been a growing interest in integrating data visualizations into narrative stories to effectively convey information and knowledge. By leveraging the best practices established in the literature, narrative visualizations can reduce the cognitive workload associated with chart comprehension. However, since it is critical and challenging to assess the results, several methodologies have been proposed in this regard. In this article, we present a systematic mapping study of ninety-five data storytelling and information visualization studies. Our goal is to collect and summarize current definitions of “data storytelling” reported in the literature, the best practices for designing narrative visualizations, and evaluation criteria and methods to assess them. As main contributions, we derive a working definition of data storytelling, distinguishing among the concepts involved, and provide an overview of design guidelines to assist practitioners and researchers in creating narrative visualizations. In addition, we characterize the main evaluation criteria and methods. Our findings highlight the need for more out-of-the-box, ready-to-use evaluation tools that allow a rapid and iterative assessment of narrative visualizations.
Spectral Variability of the Uranyl Silicates Uranophane-alpha and Uranophane-beta: Polymorphism and Luminescence
Authors: Stark Martin , Noller Markus 
Published: June 2022

Abstract
The luminescence of the uranyl cation UO22+ depends on the local crystalline environment and is sensitive to structural influences. Luminescence spectra of the related uranyl silicates uranophane-α, uranophane-β, sklodowskite and haiweeite from various locations are presented and discussed in the light of structure-property relation. The four mineral species were chosen for their close relationships: uranophane-α and uranophane-β are polymorphs and share the underlaying topology with sklodowskite. Haiweeite, of different topology, shares the composing elements Ca, U, Si, O with uranophane, while in sklodowskite Mg replaces Ca. All species show some variability in their spectra, parameterized as variation of centroid wavelength. Importantly, a prominent – partly dominating – double peak-structure occurs in the case of uranophane-α only, while it is absent in the spectra of the other species. Considering a model of luminescent transitions in the uranyl-ion in more detail, this observation is discussed in the light of the polymorphism of uranophane. We show evidence that variable amounts of uranophane-β phase embedded in uranophane-α are possibly at the origin of this spectral signature. Growth of those uranophane-β clusters might be induced by defects in the uranophane-α lattice and further promoted by the polymorphism of uranophane.
Vitamin D receptor gene variants and serum vitamin D in Childhood Autism Spectrum Disorder
Authors: Zhang Zengyu , Liu Jun , Jiang Guojun , Yu Hong 
Published: June 2022

Abstract
OBJECTIVE: This study aimed to examine the correlation between polymorphisms in vitamin D receptor (VDR) gene and serum vitamin D, and to determine their role in predicting childhood Autism Spectrum Disorder (ASD). METHODS: A total of 269 children with ASD and 320 age- and gender- matched healthy controls were recruited from the Chinese Han population. Their serum 25(OH) vitamin D was measured using competitive chemiluminescent immunoassays. The TaqMan probe approach was applied to analyze the common VDR SNPs rs731236 (Taq1), rs11568820 (Cdx2), rs1544410 (BsmI), rs2228570 (FokI) and rs7975232 (API). Both linear and logistic regressions were applied in data analysis.RESULTS: Children with ASD had significantly lower levels of serum vitamin D and a significantly higher rate of vitamin D deficiency (< 20 ng/ml) compared to healthy controls (67.7% vs 34.1%). All these examined VDR SNPs were not correlated with serum vitamin D concentrations or vitamin D deficiency. Logistic regression analysis revealed that rs731236 and serum vitamin D were associated with childhood ASD. The area under the receiver operating characteristic (ROC) curve was 0.7285 for serum vitamin D. Children with both T/C genotype of rs731236 and vitamin D deficiency had a higher risk of being diagnosed with ASD. CONCLUSION: All examined common VDR SNPs are not correlated with serum vitamin D concentrations or vitamin D deficiency. The combination of T/C phenotype of rs731236 and vitamin D deficiency are associated with a higher risk of childhood ASD. Vitamin D is a promising target in the prevention and treatment of this disease.
Physical Properties, UV Stability, Biodegradability, and DFT Study of Chicken Feather Fiber Based Composites Crosslinked with Rosin Derivative
Authors: Gogoi Gitashree , Joarder Arpita , Bardhan Pritam , Dowerah Dikshita , Mandal Manabendra , Deka Ramesh C. , Maji Tarun K. 
Published: June 2022

Abstract
Composites due to its advantageous properties for different construction purposes and outdoor applications have gained significant popularity in recent years. Biocomposites had gained importance, mainly due to their eco-friendly and processibility profile. Chicken Feather Fiber (CFF) composite based on modified epoxidized soybean oil (ESO) and natural crosslinker was prepared via compression molding technique. Methacrylic anhydride epoxidized soybean oil (MAESO) as resin, chicken feather fiber flour as a reinforcing agent, and rosin derivative as crosslinker was used to develop the final bio-composite. The fiber/resin ratio was maintained at 30:70 and the percentage of rosin derivative was varied from 0–40 (wt%). The resulting bio-composites were characterized by Fourier transformed infrared (FT-IR) spectroscopy also supported by Density Functional Theory (DFT) calculations. Thermogravimetric analysis (TGA) was done to observe the thermal stability of the bio-composites. Scanning Electron Microscope (SEM) showed the morphology of the biocomposites. Hardness Test, limiting oxygen index (LOI), chemical resistance, water absorption behavior was checked for the prepared bio-composites. An enhanced UV resistance was observed for the composites loaded with rosin derivative as supported by lower weight loss, carbonyl index, and SEM analysis. Composite based on 30 wt% of TM revealed highest enhancement in all the properties.
Alteration in subclinical lesions of epidermal growth factor receptor-mutated non-small cell lung cancer transplanted tumors in nude mice suggest the delineation of clinical targets volume Changes of subclinical lesions after EGFR-TKI treatment
Authors: Liu Jie , Zhang Wei , Su Shengfa , Li Qingsong , Geng Yichao , Yang Wengang , Chen Xiaxia , Ouyang Weiwei , Ma Zu , Lu Bing 
Published: June 2022

Abstract
ObjectiveTo investigate the alteration of subclinical lesions of subcutaneous xenograft tumors in nude mice after EGFR-TKI treatment. MethodsHuman lung adenocarcinoma cell lines were subcutaneously transplanted on the right hind legs of the nude mice in control and treatment groups. Three-dimensional pathological section was taken to observe the subclinical lesion areas when the tumors’ long diameters in the control group grew to specified length. In the Gefitinib treatment group, the subclinical lesions were observed likewise after tumor shrinkage. The results were compared. ResultsThe long diameters of transplanted tumors in group C were 5, 10, 15, and 20mm, the smallest infiltration range of subclinical lesions was 0.23, 0.78, 1.24, and 2.98mm. The edge of transplanted tumor was extended 5.14mm, to include 95% of subclinical lesions. The long diameter of the transplanted tumor in the T group shrank to 15, 10, 5, and 0mm, the smallest infiltration range was 5.74, 2.13, 2.13, and 0.11mm, the edge of the transplanted tumor was extended 8.99mm to include 95% of subclinical lesions. The extended range in T group was significantly larger than group C (P=0.000). ConclusionThe subclinical lesion receded after gefitinib treatment, but was wider than that of tumor of subclinical lesion without treatment. Even if the complete imaging response was achieved, there were still small infiltrating lesions.
Midcortical-line is More Reliable than T-line in Predicting Stem Anteversion in Patients with Developmental Hip Dysplasia after Total Hip Arthroplasty
Authors: Jiang Ziang , Cheng Rongshan , Kernkamp Willem Alex , Xia Chunjie , Liang Junjie , Wang Liao , Tsai Tsung-Yuan 
Published: June 2022

Abstract
Background: Precise preoperative planning improves postoperative outcomes in total hip arthroplasty (THA), especially in developmental dysplasia of the hip (DDH) cases. Previous studies used the T-line and midcortical-line (at different femoral neck levels) as preoperative landmarks to predict postoperative stem anteversion (PSA). However, the most reliable landmark in predicting PSA in DDH patients remains unclear. This study aimed to investigate whether the midcortical-line or T-line is more reliable in predicting PSA, and to find the optimal femoral neck level for predicting PSA in DDH patients.Methods: Pre- and postoperative Computed Tomography (CT) scans of 28 hips in 21 DDH patients who received THA were obtained for three-dimensional femoral models. On the preoperative CT scan, the anteversion of the midcortical-line on the axial cross-sectional plane images (AM-CT), the anteversion of the midcortical-line from 3D models (AM-3D), and the T-line from 3D models (AT-3D) were measured at simulated osteotomy planes at 5 and 10 mm heights proximal to the base of the lesser trochanter. The correlation between the preoperative femoral anteversion (AM-CT, AM-3D, AT-3D) and the PSA was assessed to evaluate the prediction accuracy.Results: The correlations between the AM-CT and the PSA were 0.86 (mean difference (MD) = 1.9o) and 0.92 (MD = -3.0o) at 5 and 10 mm height, respectively. The correlation between the AM-3D and the PSA were 0.72 (MD = -8.0o) and 0.61 (MD = -9.3o) at 5 and 10 mm cutting height. The AT-3D was significantly greater (MD = 19.0o, 11.3o) than the PSA (p-value < 0.01 and p-value = 0.010) at both 5 mm and 10 mm cutting height.Conclusions: The AM-CT at 10 mm height had a strong correlation with the PSA and was more reliable in predicting the PSA when compared with the AM-3D and the AT-3D in DDH patients.