intermediate stage
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2022 ◽  
Vol 210 ◽  
pp. 114481
Author(s):  
I. Gordeev ◽  
L. Kolotova ◽  
S. Starikov
Keyword(s):  

Nanomaterials ◽  
2022 ◽  
Vol 12 (2) ◽  
pp. 253
Author(s):  
Vladimir G. Dubrovskii

Selective area growth (SAG) of III-V nanowires (NWs) by molecular beam epitaxy (MBE) and related epitaxy techniques offer several advantages over growth on unpatterned substrates. Here, an analytic model for the total flux of group III atoms impinging NWs is presented, which accounts for specular re-emission from the mask surface and the shadowing effect in the absence of surface diffusion from the substrate. An expression is given for the shadowing length of NWs corresponding to the full shadowing of the mask. Axial and radial NW growths are considered in different stages, including the stage of purely axial growth, intermediate stage with radial growth, and asymptotic stage, where the NWs receive the maximum flux determined by the array pitch. The model provides good fits with the data obtained for different vapor–liquid–solid and catalyst-free III-V NWs.


2022 ◽  
Author(s):  
Melek Tassoker ◽  
Muhammet Usame Ozic ◽  
Fatma Yuce

Abstract Objective: The aim of the present study was to predict osteoporosis on panoramic radiographs of women over 50 years of age through deep learning algorithms.Method: Panoramic radiographs of 744 female patients over 50 years of age were labeled as C1, C2, and C3 depending on mandibular cortical index (MCI). According to this index; C1: presence of a smooth and sharp mandibular cortex (normal); C2: resorption cavities at endosteal margin and 1 to 3-layer stratification (osteopenia); C3: completely porotic cortex (osteoporosis). The data of the present study were reviewed in different categories including C1-C2-C3, C1-C2, C1-C3 and C1-(C2+C3) as two-class and three-class prediction. The data were separated as 20% random test data; and the remaining data were used for training and validation with 5-fold cross-validation. AlexNET, GoogleNET, ResNET-50, SqueezeNET, and ShuffleNET deep learning models are trained through the transfer learning method. The results were evaluated by performance criteria including accuracy, sensitivity, specificity, F1-score, AUC and training duration. Findings: The dataset C1-C2-C3 has an accuracy rate of 81.14% with AlexNET; the dataset C1-C2 has an accuracy rate of 88.94% with GoogleNET; the dataset C1-C3 has an accuracy rate of 98.56% with AlexNET; and the dataset C1-(C2+C3) has an accuracy rate of 92.79% with GoogleNET. Conclusion: The highest accuracy was obtained in differentiation of C3 and C1 where osseous structure characteristics change significantly. Since the C2 score represent the intermediate stage (osteopenia), structural characteristics of the bone present behaviors closer to C1 and C3 scores. Therefore, the data set including the C2 score provided relatively lower accuracy results.


Haematologica ◽  
2022 ◽  
Author(s):  
Joanne Lacey ◽  
Simon J. Webster ◽  
Paul R. Heath ◽  
Chris J. Hill ◽  
Lucinda Nicholson-Goult ◽  
...  

Germline defects affecting the DNA-binding domain of the transcription factor FLI1 are associated with a bleeding disorder that is characterised by the presence of large, fused α-granules in platelets. We investigated whether the genes showing abnormal expression in FLI1-deficient platelets could be involved in platelet α-granule biogenesis by undertaking transcriptome analysis of control platelets and platelets harbouring a DNA-binding variant of FLI1. Our analysis identified 2276 transcripts that were differentially expressed in FLI1- deficient platelets. Functional annotation clustering of the coding transcripts revealed significant enrichment for gene annotations relating to protein transport, and identified Sorting nexin 24 (SNX24) as a candidate for further investigation. Using an iPSC-derived megakaryocyte model, SNX24 expression was found to be increased during the early stages of megakaryocyte differentiation and downregulated during proplatelet formation, indicating tight regulatory control during megakaryopoiesis. CRISPR-Cas9 mediated knockout (KO) of SNX24 led to decreased expression of immature megakaryocyte markers, CD41 and CD61, and increased expression of the mature megakaryocyte marker CD42b (p=0.0001), without affecting megakaryocyte polyploidisation, or proplatelet formation. Electron microscopic analysis revealed an increase in empty membrane-bound organelles in SNX24 KO megakaryocytes, a reduction in α-granules and an absence of immature and mature multivesicular bodies, consistent with a defect in the intermediate stage of α-granule maturation. Co-localisation studies showed that SNX24 associates with each compartment of α-granule maturation. Reduced expression of CD62P and VWF was observed in SNX24 KO megakaryocytes. We conclude that SNX24 is required for α-granule biogenesis and intracellular trafficking of α-granule cargo within megakaryocytes.


2022 ◽  
Vol 12 (1) ◽  
pp. 1-15
Author(s):  
Sahar Mohammed Yousef Ezzeldin

This study aimed for using flipped classroom to develop scientific communication and the attitude towards technology acceptance in science learning among intermediate school students. For this purpose, the quasi-experimental design with the experimental and the control group method was used. The sample involved (49) third intermediate stage students from two different schools in Wadi Al-Dawasir Governorate, Riyadh, Saudi Arabia. A list of written scientific communication levels suitable for intermediate school students and a procedural model for learning with flipped classes were presented. The study applied the scientific communication test and the technology acceptance in the science learning scale. The statistical analyses revealed that there were statistically significant differences between the means of the scores of the experimental and control group students in the scientific communication scale and the technology acceptance in the science learning scale in favor of the experimental group. Recommendations and suggestions were presented.


2021 ◽  
Vol LXXVII (77) ◽  
pp. 227-243
Author(s):  
DOROTA ROJSZCZAK-ROBIŃSKA

W polszczyźnie średniowiecznej widoczny jest pewien etap pośredni w procesie kształtowania się mowy zależnej. W tekstach pojawiają się konstrukcje mieszane, w których spójnik że (iż/iże) wyrażający relację podrzędną, typowy dla wprowadzania mowy zależnej, wprowadza mowę niezależną. W artykule analizuję relację tych konstrukcji do źródeł łacińskich na przykładzie staropolskich apokryfów. Pojawiają się często tam, gdzie w danym miejscu w tekście źródłowych obecne były konstrukcje obce językowi polskiemu, jak ACI, a także gdy przytoczenie w źródle było wprowadzone przez quia, które mogło wprowadzać mowę zależną i niezależną lub być częścią samego przytoczenia jako partykuła. Konstrukcje mieszane pojawiają się też tam, gdzie granica kompilacji przebiegała właśnie w miejscu wprowadzania przytoczenia. Problemem dla staropolskich autorów było też przenikanie się poziomów fabuły i rzeczywistości pozafabularnej. Direct speech introduced by iże in Old Polish apocrypha. A source perspective Summary: An intermediate stage of the formation of reported speech can be observed in the Old Polish period. Polish medieval texts include mixed constructions in which the conjunction że (iż/iże), expressing a subordinate relation and typically introducing reported speech, introduces direct speech. Using Old Polish ROBIŃSKAapocrypha as the source of data, the paper examines the relation between these constructions and Latin sources. The analysed constructions often appear in places where in the source text there were constructions unknown to the Polish language, such as Accusativus cum infinitivo, or where the quotation in the source text was introduced by a quia that could introduce indirect and indirect speech or be, as a particle, part of the quotation itself. Mixed constructs also appear in places where the compilation boundary coincides with the introduction of a quotation. Another problem for Old Polish authors was the overlapping of the levels of the plot and the nonfiction reality.


Catalysts ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 39
Author(s):  
Hassan H. Hammud ◽  
Hassan Traboulsi ◽  
Ranjith Kumar Karnati ◽  
Syed Ghazanfar Hussain ◽  
Esam M. Bakir

Cobalt hierarchical graphitic carbon nanoparticles (Co@HGC) (1), (2), and (3) were prepared by simple pyrolysis of a cobalt phenanthroline complex in the presence of anthracene at different temperatures and heating times, under a nitrogen atmosphere. The samples were used for the catalytic hydrogenation of 2,4-dinitrophenol. Samples (1) and (3) were prepared by heating at 600 °C and 800 °C respectively, while (2) was prepared by heating at 600 °C with an additional intermediate stage at 300 °C. This work revealed that graphitization was catalyzed by cobalt nanoparticles and occurred readily at temperatures of 600 °C and above. The nanocatalysts were characterized by Scanning Electron Microscopy SEM, energy dispersive X-ray analysis EDX, Raman, Xrd, and XPS. The analysis revealed the presence of cobalt and cobalt oxide species as well as graphitized carbon, while TEM analysis indicated that the nanocatalyst contains mainly cobalt nanoparticles of 3–20 nm in size embedded in a lighter graphitic web. Some bamboo-like multiwall carbon nanotubes and graphitic onion-like nanostructures were observed in (3). The structures and chemical properties of the three catalysts were correlated with their catalytic activities. The apparent rate constants kapp (min−1) of the 2,4-dinitrophenol reductions were 0.34 for (2), 0.17 for (3), 0.04 for (1), 0.005 (no catalyst). Among the three studied catalysts, the highest rate constant was obtained for (2), while the highest conversion yield was achieved by (3). Our data show that an increase in agglomeration of the cobalt species reduces the catalytic activity, while an increase in pyrolysis temperature improves the conversion yield. The nanocatalyst enhances hydrogen generation in the presence of sodium borohydride and reduces 2,4-dinitrophenol to p-diamino phenol. The best nanocatalyst (3) was prepared at 800 °C. It consisted of uniformly distributed cobalt nanoparticles sheltered by hierarchical graphitic carbon. The nanocatalyst is easily separated and recycled from the reaction system and proved to be degradation resistant, to have robust stability, and high activity towards the reduction reaction of nitrophenols.


2021 ◽  
Vol 22 (2) ◽  
pp. 252-263
Author(s):  
Abdul Karim Shah ◽  
Ghulam Abbas Kandhro ◽  
Aqeel Ahmed Shah ◽  
Syed Nizam Uddin Shah Bukhari ◽  
Arshad Iqbal ◽  
...  

The cyclisation of citronellal to isopulegol is a significant intermediate stage in the production of menthols. In this research work, the effects of acid treatment on montmorillonite clay have been investigated and used in citronellal cyclisation reactions. Furthermore, the effects of acid treatment and hetero-poly acid impregnation have been determined on the textural and catalytic properties of montmorillonite clay. The designed catalysts were characterized by XRD, N2 sorption, and NH3- TPD techniques. Acid treatment of montmorillonite resulted in the enhancement of surface area and pore volume. The catalytic activity and selectivity parameters were lessened due to the severe leaching of Al ions from tetrahedral crystalline structures (e.g., weakened structure and loss of acidity). Among all prepared materials, the heteropoly acid supported HCl treated montmorillonite catalyst was observed as a more active, stable, and selective catalyst that showed the highest catalytic performance in citronellal cyclisation under optimized process parameters. The catalytic activity and selectivity were enhanced with rising mesoporosity and acidity parameters due to HCl acid treatment and HPA impregnation.


2021 ◽  
Vol 15 ◽  
Author(s):  
Jarrod Hollis ◽  
Glyn W. Humphreys ◽  
Peter M. Allen

Evidence is presented for intermediate, wholistic visual representations of objects and non-objects that are computed online and independent of visual attention. Short-term visual priming was examined between visually similar shapes, with targets either falling at the (valid) location cued by primes or at another (invalid) location. Object decision latencies were facilitated when the overall shapes of the stimuli were similar irrespective of whether the location of the prime was valid or invalid, with the effects being equally large for object and non-object targets. In addition, the effects were based on the overall outlines of the stimuli and low spatial frequency components, not on local parts. In conclusion, wholistic shape representations based on outline form, are rapidly computed online during object recognition. Moreover, activation of common wholistic shape representations prime the processing of subsequent objects and non-objects irrespective of whether they appear at attended or unattended locations. Rapid derivation of wholistic form provides a key intermediate stage of object recognition.


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