IS Values Research Articles

Genetic diversity, population structure, and phylogenetic relationships of a widespread East Asia herb, Cryptotaenia japonica Hassk. (Apiaceae) based on genomic SNP data generated by dd-RAD sequencing.

Single-nucleotide polymorphisms (SNPs) represent the most prevalent form of genomic polymorphism and are extensively used in population genetics research. Using dd-RAD sequencing, a high-throughput sequencing method, we investigated the genome-level diversity, population structure, and phylogenetic relationships among three morphological forms of the widely distributed taxon Cryptotaenia japonica Hassk., which is native to East Asia. Our study aimed to assess the species status of C. japonica according to its genetic structure and genetic diversity patterns among 66 naturally distributed populations, comprising 26C. japonica f. japonica, 36C. japonica f. dissecta (Y. Yabe) Hara and 4C. japonica f. pinnatisecta S. L. Liou accessions. Based on genomic SNP data generated by dd-RAD sequencing, we conducted genetic diversity, principal component, neighbor-joining (NJ) phylogenetic, admixture clustering, and population differentiation analyses. The findings revealed the following: (1) 5,39,946 unlinked, high-quality SNPs, with mean π, H O, H E and F IS values of 0.062, 0.066, 0.043 and -0.014, respectively, were generated; (2) population divergence was unaffected by isolation through distance; (3) six main distinct regions corresponding to geographic locations and exhibiting various levels of genetic diversity were identified; (4) pairwise F ST analysis showed significant (P < 0.05) population differentiation in 0%-14% of populations among the six regions after sequential Bonferroni correction; and (5) three migration events (historical gene flow) indicated east‒west directionality. Moreover, contemporary gene flow analysis using Jost's D, Nei's G ST, and Nm values highlighted the middle latitude area of East Asia as a significant contributor to genetic structuring in C. japonica. Overall, our study elucidates the relatively low genetic differentiation and population structure of C. japonica across East Asia, further enhancing our understanding of plant lineage diversification in the Sino-Japanese Floristic Region.

Quantitative BCR::ABL1 Assay Using Digital Real-Time PCR System: Clinical Applications and Insights

Background: Accurate quantification of BCR::ABL1 transcripts is paramount for the management of chronic myeloid leukemia (CML) and Philadelphia-positive acute lymphoblastic leukemia (Ph+ ALL). Despite advancements in real-time reverse transcription PCR (RT-qPCR), the need for more sensitive and precise assays remains. This study evaluated the diagnostic utility of digital reverse transcription PCR (dRT-PCR) for BCR::ABL1 quantification in assessing minimal residual disease (MRD). Material and methods. Twelve patients with CML or Ph+ ALL were included. Peripheral blood or bone marrow samples, collected in PaxGene RNA preservation tubes, were extracted with the automated QIASymphony SP instrument. dRT-PCR conducted on the LOAA analyzer, utilized the Dr. PCR BCR-ABL1 Detection Kit CE_IVD (OPTOLANE Technologies, South Korea). By employing a dual-labeled hydrolysis probe and target-specific primers, this protocol enabled the simultaneous amplification and detection of BCR::ABL1 transcripts e13a2 and e14a2 and ABL1. The resulting copy numbers/reactions were used to calculate the International Scale percentage (%IS) and the molecular reduction (MR) value and analyzed for clinical correlations. Results. Digital RT-PCR demonstrated high precision in quantifying BCR::ABL1 transcripts, the lowest %IS value being 0.02%. A consistent quality RNA sample totalizing 110 ng/reaction was crucial for successful reactions. This assay proved faster and easier than conventional RT-PCR and did not require standards or calibrators. Conclusion. This study supports the feasibility of digital RT-PCR for quantitative analysis. Future objectives for our laboratory include expanding our diagnostic repertoire using this platform, for enhancing patient care.

Empowering nursing council implementation science: An appeal to action

In most hospitals, nursing councils are responsible for EBP implementation and evaluation. To enhance the perceived value of council participation by frontline nurses, administrators must promote the impact of council projects on healthcare outcomes. The purposes of this appeal to action are to describe the role of nursing councils in promoting IS and EBP, and to provide recommendations that enhance the value of IS and/or EBP councils to frontline nurses, thereby incentivizing participation on these councils. Nurse researchers from three metropolitan hospitals partnered with a medical librarian to recommend six strategies aimed at enhancing the perceived value of council participation. An argumentative review was conducted to support these strategies. Recommendations are inclusion of methods experts on councils; support from nursing administrators in the development, implementation, and evaluation of projects; formation of partnerships with nursing academic departments; expansion of publication opportunities and availability; and connection of projects to measurable quality indicators. Enhancing the perceived value of nursing councils by providing tools that optimize time and resource management can result in greater council participation and broader dissemination of IS evidence.

Development and validation of a GT-seq panel for genetic monitoring in a threatened species using minimally invasive sampling.

Minimally invasive samples are often the best option for collecting genetic material from species of conservation concern, but they perform poorly in many genomic sequencing methods due to their tendency to yield low DNA quality and quantity. Genotyping-in-thousands by sequencing (GT-seq) is a powerful amplicon sequencing method that can genotype large numbers of variable-quality samples at a standardized set of single nucleotide polymorphism (SNP) loci. Here, we develop, optimize, and validate a GT-seq panel for the federally threatened northern Idaho ground squirrel (Urocitellus brunneus) to provide a standardized approach for future genetic monitoring and assessment of recovery goals using minimally invasive samples. The optimized panel consists of 224 neutral and 81 putatively adaptive SNPs. DNA collected from buccal swabs from 2016 to 2020 had 73% genotyping success, while samples collected from hair from 2002 to 2006 had little to no DNA remaining and did not genotype successfully. We evaluated our GT-seq panel by measuring genotype discordance rates compared to RADseq and whole-genome sequencing. GT-seq and other sequencing methods had similar population diversity and F ST estimates, but GT-seq consistently called more heterozygotes than expected, resulting in negative F IS values at the population level. Genetic ancestry assignment was consistent when estimated with different sequencing methods and numbers of loci. Our GT-seq panel is an effective and efficient genotyping tool that will aid in the monitoring and recovery of this threatened species, and our results provide insights for applying GT-seq for minimally invasive DNA sampling techniques in other rare animals.

MODEL ALOMETRIK PENDUGA ABOVEGROUND BIOMASS Gigantochloa atter DI DESA ALU, KABUPATEN POLEWALI MANDAR

Biomass allometric models are needed to determine the carbon content absorbed by bamboo plants. There are still many bamboo plants that do not have a local allometric model to estimate their biomass, one of which is Gigantochloa atter bamboo. This research aims to produce an allometric model for estimating the biomass of Gigantochloa atter bamboo found in Alu Village, Polewali Mandar Regency, West Sulawesi Province. Dustructive sampling method of 30 bamboo plants, to obtain wet weight and water content, starting with measuring the diameter and total height. Water content to determine biomass. Biomass, diameter and height values were analyzed by regression to develop allometric models according to predetermined equations. Substitution of measurement values into the allometric equation and data analysis using the coefficient of determination (R2), bias, error index and Mean Square Error Prediction variable scoring method. The scoring results of six models for estimating the biomass of Gigantochloa atter bamboo plants in Alu Village, Polewali Mandar Regency were selected as the best model Y = 0.785+0.011(D2H) with the highest score values including R2 value (0.982), Bias value (0.124), IE value (25.086) and MSEP (1.435).

Fast and Lightweight Image Cryptosystem for IoMT Applications

This paper presents a fast and lightweight image encryption technique founded on a new concept of progressive and selective diffusion. We make use of modified chaotic systems like the sine-logistic system, sine-tangent system, and tent-logistic system to generate key blocks for diffusion. The encryption procedure comprises three stages: column diffusion, permutation, and row diffusion, which collectively contribute to the overall encryption mechanism. In the first stage, progressive and selective column substitution of the input image is conducted employing key-blocks D1 and D2, in a manner that each substituted column data is a function of previously diffused data. In the second stage, the column-substituted image goes through an adaptive permutation operation realized using an improved sin-logistic system. The last stage incorporates two distinct mappings based on key arrays and key blocks to ensure selective and progressive inter-row substitution/diffusion. The experimental results suggest that the proposed image system exhibits rapid performance as it reports an average encryption time of 0.03 seconds for an image of the size 256×256. Besides, the use of 1-D chaotic maps together with simple yet effective confusion and diffusion processes make it lightweight. Furthermore, it provides better security performance shown by various parameters like Information Entropy Analysis (IE), Correlation Coefficient analysis (CC), Histogram analysis, Differential Attacks Analysis (NPCR and UACI), key sensitivity assessment, and fidelity analysis. The suggested system has the capability to meet the cryptographic objectives as it reports average values of IE = 7.9974, CC =0.0035, NPCR =99.61%, UACI = 33.48%, and an enormously large key space compared to the state-of-art. The proposed technique offers enhanced data security, preserving patient privacy and preventing unauthorized access, while ensuring efficient encryption performance to assure the security and immediate transmission and storage of medical images. The better security performance together with computational efficiency and lightweight nature makes it an ideal candidate to be used in IoMT systems.

Assessment of microelement ecotoxicity in fen for ecological state monitoring

Wetlands, including bogs, fens, and swamps, play a crucial role in maintaining ecological balance by absorbing pollutants. They also conserve biodiversity and serve as breeding and migration sites for living organisms whose treated by pollutants entering to the wetland ecosystems. Pollutants entering wetland ecosystems can have detrimental effects on these important functions. The article introduces the method of toxicity assessment of microelements used in the environmental condition monitoring of the Ob River's floodplain fen (Tomsk Oblast, Russia). The impact of freshwater species (PAF m3day/kgemitted) is evaluated by calculating the Life Cycle Assessment Impact score for Be, V, Cr, Mn, Fe, Cu, Zn, As, Sr, Mo, Pb, Cd, Sb, Ba, and Tl at distances of 40, 100, and 160 m from the wastewater discharge site. The study considers the elemental composition and total volume of water from various areas within the research site for assessing freshwater ecotoxicity. 12 out of 15 investigated trace elements have the greatest impact on the freshwater system in the zone of 160 m from the site of anthropogenic impact on the water body. The sampling areas can be ranked based on their ∑IS value, with IS160 = 1.3E+11, followed by IS100 = 7.5E+10, and IS40 = 1.5E+10 [PAF m3day/kgemitted].

Research on AIGC-driven Innovation Path and Smart Creative Workflow Optimization in Design Field

Abstract AIGC has attracted much attention in the application of art and design professional fields and has gradually become an important auxiliary tool for art and design professionals creation. This paper utilizes AIGC as a starting point for design creativity and develops a text-guided image generation model based on AIGC, which employs a semantically consistent generative adversarial network. We compare different model indexes across different datasets to evaluate the image generation effect of the constructed model. Subsequently, we summarize and optimize the intelligent, creative workflow. Based on this workflow and the image generation model, we generate a series of images as an example of a cosmetic package. We then analyze the audience’s acceptance of these intelligently generated images through a questionnaire survey, thereby exploring the impact of AIGC-driven design and innovation. The GAN-SC model outperforms the comparison algorithms in various datasets, achieving an IS value higher than AttnGAN and DFGAN by 17.7% and 2.7%, respectively, and reducing the FID metrics by 29.43% and 19.6%, respectively. The acceptance rate of the AIGC-based design solution surpasses that of the traditional solution by 4.9%, and it excels across all design dimensions, showcasing the effectiveness of AIGC-driven design innovation.

Research on Sustainable Innovation and Cultural Integration of Textile Apparel Supported by Information Technology

Abstract In the field of apparel design, the traditional manual work method can no longer meet the requirements of production and market, and the application of information technology in textile and apparel design has become increasingly important. The article outlines the significance and value of integrating cultural elements in textile apparel design and evaluates the significance and applications of information technology in textile apparel design. From the perspective of cultural genes, the article explores the cultural design factors in textile apparel design and establishes a cultural gene pool for textile apparel design. Based on the DCGAN model, the DCGAN model is improved by optimizing the loss function and residual module to construct the textile clothing style migration model. In order to verify the effectiveness of the above model in the sustainable design of textile apparel, the style migration of textile apparel and visual similarity were verified, and the attributes of sustainable design needs, importance, and satisfaction of textile apparel were evaluated. The IS values of the improved DCGAN model for textile apparel design were 0.428 and 0.439, and the visual similarity scores of the sample and migrated apparel ranged from 6.21 to 7.03. The coefficient of incorporating cultural themes reached a maximum of 75.19%, and the subjects’ satisfaction score with the culture of the textile dresses was the highest at 6.23 points. Relying on information technology can explore the connotations of cultural elements and provide a diversity of textile apparel design development.

Electrochemical, spectroscopic, kinetic and surface analysis of the inhibitory performance of Alcian blue dye for copper corrosion in sulfuric acid solution

The use of corrosion inhibitors is considered as the supreme dominant approach to control the damage of metallic corrosion. Organic dyes are extensively employed as inhibitors for the corrosion of various metals and alloys in diverse media. Herewith, Alcian blue dye (ABD) was selected to investigate its inhibitive characteristics against the corrosion of copper in 1.0 M H2SO4 solution at 298 K. This investigation was monitored by various chemical, electrochemical, and spectroscopic techniques. The results indicated that the examined dye is a proficient inhibitor for the corrosion of copper in 1.0 M H2SO4 solution and its inhibition efficiency (% IE) was increased with augmenting its concentration and diminished with rising medium temperature. The high anti-corrosive ability of the selected dye was attributed to its adherent adsorption of such dye on the Cu surface and follows Langmuir isotherm. Thermodynamics and kinetics of corrosion of copper and its inhibition by the examined dye were inspected. The mechanisms of copper corrosion in H2SO4 solution and its inhibition by ABD were proposed. The obtained results illuminated that the examined dye acts as a mixed-type inhibitor with cathodic precedence. Finally, all gained results with respect to % IE values of the dye were compared and designated a good harmony between all applied techniques.

Associations of 24‐h rest‐activity patterns with plasma markers of neurodegeneration and Alzheimer’s disease pathology in cognitively unimpaired individuals

AbstractBackgroundAltered 24‐h rest‐activity rhythms have been previously associated with higher burden of Alzheimer’s disease (AD) pathological hallmarks, as measured with positron emission tomography or cerebrospinal fluid collection. Recent developments in fluid biomarkers now allow to non‐invasively measure levels of AD‐related pathology in the plasma. Here, we examined whether actigraphy‐derived 24‐h rest‐activity patterns could be linked to plasma markers of neurodegeneration and AD pathology in a sample of cognitively unimpaired participants.MethodNinety‐three asymptomatic individuals (mean age = 59.73 ± 13.74 y., range = 30 – 85 y., 48 females, Table 1) underwent 10 days of actigraphic recordings, and blood drawing. Standard non‐parametric indices of 24‐h rest‐activity rhythm fragmentation (intradaily variability, IV) and stability (interdaily stability, IS) were extracted using the GGIR package (v2.8‐2) in R. Plasma concentrations of neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), 40 and 42 amino acid‐long amyloid‐β (Aβ40 and Aβ42, respectively), total tau, and phosphorylated tau at threonine 181 (pTau181) or threonine 231 (pTau231) were measured using Single molecule array technology.ResultMultiple linear regression models adjusted for age, sex, education, and body mass index, showed that worse rest‐activity rhythm fragmentation, as indicated by higher IV values, was strongly associated with elevated levels of plasma NfL (t = 4.53, p &lt; .0001, Figure 1), but also with higher levels of plasma GFAP (t = 2.44, p = .02, Figure 2) and lower plasma Aβ42/40 ratio (t = ‐2.23, p = .03, Figure 2). Similarly, increased day‐to‐day rest‐activity rhythm stability, as indicated by higher IS values, was associated with lower levels of plasma NfL (t = ‐2.37, p = .02, Figure 1). By contrast, no significant relationships were found between IV or IS values and total tau or phosphorylated tau plasma biomarkers (all p &gt; .27).ConclusionThese findings provide further evidence that disrupted rest‐activity patterns, in particular fragmentation of rest‐activity rhythms, may constitute a sensitive marker of incipient AD pathology and neurodegeneration in cognitively unimpaired individuals. Our study therefore highlights the clinical utility of monitoring rest‐activity patterns for improved detection of individuals at‐risk for neurodegenerative diseases, including AD.

Highly Sensitive Chip-Based Digital PCR Platform for Quantitative Detection of BCR::ABL1 Transcripts throughout CML Treatment

Introduction: With various BCR::ABL1 tyrosine kinase inhibitors (TKIs), chronic myeloid leukemia (CML) has become a manageable disease and current therapeutic goal is treatment-free remission (TFR). To achieve a successful TFR in more patients, a precise assessment of minimal residual disease (MRD) is one of the prerequisite requirements. Since undetectable BCR::ABL1 fusion transcripts by conventional Taqman™-based quantitative polymerase chain reaction (qPCR) is not an indicator for complete eradication of the CML clone, it requires the development of more sensitive technologies. Currently, to overcome some limitations of conventional qPCR, such as rigorous standardization process and variations in sensitivity between laboratories, digital quantitative-PCR (dqPCR) methods have been developed for accurate and precise detection and its use in the routine clinical practice is gradually expanding. However, current dqPCR methods require the inclusion of one or more negative partitions to calculate the concentration using Poisson distribution. Consequently, this leads to a more than a 10-fold decrease in the maximum detectable concentration in a single test compared to conventional qPCR. Therefore, we have developed a novel technology, High Dynamic Range Digital Real-time PCR (so called HDR-drPCR) to achieve wider dynamic range, which allows more stable, accurate and sensitive monitoring of BCR::ABL1 in a timely manner. Methods: For linearity assessment, we used BCR::ABL1 positive (e14a2) K562 cell line diluted to 7 points by 10-fold serial dilutions from 25 to 2.5x10 -5 %IS with BCR::ABL1 negative HL60 cells. In HDR-drPCR, the GUSB gene was employed as a control gene to determine %IS values. For this purpose, the 1 st WHO international genetic reference panel was utilized to calculate the correction factor (CF). With the results from cell lines, we also evaluated equivalence between conventional qPCR and HDR-drPCR using 219 clinical specimens. Among them, 100 samples were determined as DMR (&amp;lt;0.01%IS) based on the qPCR test results In detail, conventional qPCR was performed using Transcriptor First Strand cDNA Synthesis Kit (Roche, USA) for cDNA synthesis and Real-Q BCR-ABL Quantification Kit (Biosewoom, South Korea) for qPCR. For HDR-drPCR (1-step reverse transcriptase PCR), 10 6 to 10 7 copies per reaction of GUSB gene were applied to disposable cartridges of Genotizer™ HDR BCR::ABL1 Major IS detection kit (Optolane Technologies, South Korea) with LOAA platform (Optolane Technologies, Korea). Based on the results, correlation analysis between qPCR and HDR-drPCR was performed using correlation graphs and Blend-Altman plots. Results: Linearity was assessed by the dilution of RNA of K562 with RNA of HL60 using 10-fold serial dilution of up to - 7 log. The result showed accurate linearity (R 2 = 0.9972) at the range of BCR::ABL1/GUSB ratio of 10 1 to 10 -5(%). Notably, HDR-drPCR technology allowed to detect the level of BCR::ABL1 transcript of MR 6.34 (0.00005 %IS) (Figure 1A). The correlation analysis for 209 clinical samples showed that measured values from both qPCR and HDR-drPCR were closely correlated with the R 2 of 0.973 1 (Figure 1B) . The Bland-Altman plot showed a mean bias of 0.159, and the limit of agreement at the 95% confidence interval (LOA95) was calculated as -0.387 to 0.705. Furthermore, the concordance rate between the two methods was 96.17%, as measured by the proportion of samples in which the difference between the two methods was within a factor of 5. This indicates a strong concordance between the two methods. HDR-drPCR reliably detected BCR::ABL1 transcripts in all 90 clinical specimens measured below 0.01%IS (DMR) using qPCR. Additionally, HDR-drPCR detected trace amounts of BCR::ABL1 transcripts in 6 out of 10 specimens that were not detected by qPCR, showcasing its improved sensitivity compared to the conventional qPCR method. Conclusion: Taken together, we believe our high dynamic range real-time digital PCR(HDR-drPCR) may minimize false positive results and maximize the analytical sensitivity of detecting BCR::ABL1 fusion transcripts and thus, would be useful for accurately assessing treatment in routine clinical practice and facilitating the application of treatment-free remission (TFR). We will include these results in further intensive studies focusing on DMR clinical specimens Study support: Funded by Korea Research Foundation

A comparative study of pyridine and pyrimidine derivatives based formamidine for copper corrosion inhibition in nitric acid: Experimental and computational exploration

This paper investigates the performances of two synthesized formamidine derivatives, namely: N,N-dimethyl-N’-(pyridin-2-yl) formamidine (A) and N,N-dimethyl-N’-(pyrimidin-2-yl) formamidine (B) to inhibit the corrosion of copper in 1.0 M HNO3 solution at fixed temperatures. Different tools, viz. electrochemical, chemical, and microscopic techniques were utilized in this paper. The evaluated inhibition efficiencies (% IEs) of the tested formamidine derivatives increased with their concentrations. Results indicated that the tested compounds acted as mixed-kind inhibitors with anodic seniority. The acquired great% IEs of such compounds were mainly attributed to the strong adsorption of the compounds’ molecules on the copper surface. The mode of adsorption was agreed with Langmuir isotherm. The results acquired from all utilized tools agreed with each other which disclosed that the %IE values of inhibitor A were somewhat lesser than those of inhibitor B under analogous circumstances. The influence of temperature was investigated and revealed that the %IE values decreased with rising temperature. Also, thermodynamic parameters were evaluated and discussed herein. The kinetics and mechanisms of the copper corrosion and its inhibition by the tested compounds were investigated. Molecular modeling provided strong evidence for the preference of the molecules A and B for their adsorption on the copper surface, while DFT investigations underlined the importance of N heteroatom as a relevant local site for molecular adsorption.

Performance Effect of Adjusting Insulin Sensitivity for Model-Based Automated Insulin Delivery Systems.

Model predictive control (MPC) has become one of the most popular control strategies for automated insulin delivery (AID) in type 1 diabetes (T1D). These algorithms rely on a prediction model to determine the best insulin dosing every sampling time. Although these algorithms have been shown to be safe and effective for glucose management through clinical trials, managing the ever-fluctuating relationship between insulin delivery and resulting glucose uptake (aka insulin sensitivity, IS) remains a challenge. We aim to evaluate the effect of informing an AID system with IS on the performance of the system. The University of Virginia (UVA) MPC control-based hybrid closed-loop (HCL) and fully closed-loop (FCL) system was used. One-day simulations at varying levels of IS were run with the UVA/Padova T1D Simulator. The AID system was informed with an estimated value of IS obtained through a mixed meal glucose tolerance test. Relevant controller parameters are updated to inform insulin dosing of IS. Performance of the HCL/FCL system with and without information of the changing IS was assessed using a novel performance metric penalizing the time outside the target glucose range. Feedback in AID systems provides a certain degree tolerance to changes in IS. However, IS-informed bolus and basal dosing improve glycemic outcomes, providing increased protection against hyperglycemia and hypoglycemia according to the individual's physiological state. The proof-of-concept analysis presented here shows the potentially beneficial effects on system performance of informing the AID system with accurate estimates of IS. In particular, when considering reduced IS, the informed controller provides increased protection against hyperglycemia compared with the naïve controller. Similarly, reduced hypoglycemia is obtained for situations with increased IS. Further tailoring of the adaptation schemes proposed in this work is needed to overcome the increased hypoglycemia observed in the more resistant cases and to optimize the performance of the adaptation method.

The application of big data technology in the art of visual communication design with information technology

Abstract Based on big data technology, this paper firstly proposes that visual image generation design based on the improved adversarial generative network becomes one of the ideas to solve the current dilemma of visual communication design, which is not only a convenient, creative means but also changes the traditional way of visual communication design. Secondly, in the extension of visual image samples, in addition to using some operations such as rotation, translation and scale transformation of visual images, an improved DCGAN adversarial generative network algorithm is also used. The improved DCGAN network is then used to augment the number of visual images while maintaining the quality of visual image generation. Finally, intelligent generation models based on visual communication design processes and thinking are investigated, focusing on intelligent data sets and retrieval, image generation techniques, and intelligent solution recommendations. The results show that DCGAN has a lower value of IS = 1.5, FID = 249.39, IS and a higher value of FID, indicating that it generates better quality visual images and greatly improves the efficiency and accuracy of visual communication design. This study can extract effective information and generate visual images more accurately and efficiently, and provide technical support for visual communication designers.

Synthesis, structural, impedance, optical, Mössbauer characterizations and magnetic studies of Pb-containing germanate compounds

The orthorhombic antiferromagnetic germanate minerals Pb2Fe2Ge2O9 and Pb2Mn2Ge2O9 have been prepared via solid state reaction procedure. An extensive study of structural, dielectric, optical and magnetic properties of both the germanates have been investigated by employing different measurements such as X-ray diffraction, FTIR, SEM, impedance, UV–Vis–NIR & Mössbauer spectroscopic and magnetometary. Rietveld refinement of room temperature XRD patterns revealed that both the compounds crystallize in the orthorhombic space group Pbcn. FTIR spectrum exhibits the presence of M−O & Ge–O bonds which confirms strong chemical bonding. Morphological analysis through SEM showed good crystallinity of both the samples. The variation of dielectric constant, loss tangent and impedance with frequency have been studied and it has been established that both the germanates are semiconducting at 300K (RT) which may be attributed to the stacking of ions at grain boundaries. The optical band gaps estimated by UV–Vis–NIR spectroscopic measurements further confirms the semiconducting nature of the prepared germanates. 57Fe Mössbauer spectroscopic measurement on synthesized Pb2Fe2Ge2O9 sample was carried out at RT. The obtained values of IS and QS showed that iron is in Fe3+ high spin state (t2g3eg2,s=5/2) and occupy two different sites, Fe1 and Fe2. The field dependent magnetization measurements show that both the compounds display dominant paramagnetic nature at 300K. The temperature dependent magnetization data reveal very sharp first order type AFM to PM transition at TN ∼50K and TN ∼8K for Pb2Fe2Ge2O9 and Pb2Mn2Ge2O9, respectively, and weak FM nature below Neel temperature. The field dependent properties of both the compounds have been analyzed by drawing the M versus H plots at low and room temperatures. The values of calculated effective magnetic moment 6.07μB and 3.95μB for Fe3+ and Mn3+ ions are in the high spin states (t2g3eg2,s=5/2 and )t2g3eg1,s=2.

Evaluation of protection performances of novel synthesized bis-oxindole-based derivatives for the corrosion of aluminum in acidic environment

Three bis(3-schiff base-indoline-2-one) derivatives, 3(a-c), and two bis-spirotriazole-indole derivatives, 5(a,b), were synthesized and were evaluated as inhibitors for the corrosion of Al in 1.0 M HCl at 303 K. Weight loss (WL) method was applied for evaluation of the inhibition efficiencies (% IEs) of all synthesized compounds while WL in addition to potentodynamic polarization (PDP) and electrochemical impedance spectroscopy (EIS) were employed in case of the compound that has the highest% IE values. The collected results illuminated that the synthesized compounds were discovered to be efficient inhibitors and their% IEs were set to vary with their concentrations, structures, and the corrosive medium concentration. WL outcomes revealed that, the order of% IEs of the synthesized compounds was: 5a ≈ 5b > 3a > 3b ≥ 3c. The acquired high% IEs of such compounds were attributed to their potent adsorption on the Al surface and production of a protective film, and this adsorption was agreed with Langmuir adsorption isotherm. The kinetics of corrosion inhibition by the synthesized compounds appeared a negative-first order process confirming the gained higher values of% IEs of such compounds. PDP results indicated that the compound 5a behaves as a mixed inhibitor with a cathodic majority. The results acquired from the three utilized tools were set to be in a good agreement with each other's confirming the validity of the obtained results.

Empirical relationship between TEM-derived myelin volume fraction and MRI-R2 values in aging ex vivo rat corpus callosum

Ex vivo ratiometric measurements of short- and long-T2 components using the multiple spin echo sequence of MRI are often employed to evaluate alterations in myelin content in the white matter (WM) of the brain. However, the relationship between absolute MRI-T2 values (long-T2 component) and myelin volumetric information in aged ex vivo rodent WM appears to be influenced by factors such as animal species, field strength, and fixation durations/washing. Here, multiple spin echo sequence-based MRI-R2 (the reciprocal of T2) values were measured in the corpus callosum (CC) region in the post-mortem rat brains (n = 9) of different age groups with common fixation techniques without washing at 7 T. Transmission electron microscopy (TEM)-based quantification of myelin volume fraction (MVF) and corresponding Monte-Carlo simulation to estimate relaxation rates (R2,IE) due to diffusion in the presence of inhomogeneous magnetic field perturbation in intra- and extra-cellular (IE) spaces were respectively performed. To determine whether the short-T2 components originating from myelin water were mixed with long-T2 components from IE water or were undetectable, the MVF values obtained from TEM results were respectively compared with MRI-R2 and R2,IE values. A significant correlation (Pearson's correlation coefficient r = 0.8763; p < 0.01) of average MRI-R2 and MVF values was observed. Estimated R2,IE values from Monte-Carlo simulations in IE water signals were also positively correlated (r = 0.8281; p < 0.01) with MVF values. However, the magnitudes of R2,IE values were much smaller than those observed for MRI-R2 values, indicating that changes in R2 related MVF are likely dominated by myelin water components. Such comparisons between independent parameters from MRI, TEM, and simulations support the suggestion that myelin water signals were indistinguishably mixed to exhibit mono-exponential T2 relaxation, and multiple spin echo sequence-based MRI-R2 values in aging ex vivo rat CC without prolonged washing still reflect the volumetric information of myelin, likely due to enhanced water exchange across the myelin.

The study of the rheological characteristics of pasta dough based on poly-cereal flour raw

The article presents the results of studies of indicators of rheological characteristics of dough for the production of non-traditional pasta based on whole-ground poly-cereal raw materials. The main purpose of the research is to study the indicators of the rheological characteristics of dough based on flour produced from nontraditional poly-cereal raw materials. Modern technologies make it possible to obtain pasta enriched with targeted food additives. Such pasta has a number of advantages and will be in high demand among consumers. Experimental studies have shown that the rheological properties of flour dough obtained from wholemeal flour have poor characteristics. Therefore, in order to improve the rheological characteristics of the dough, it is possible to introduce a biologically active additive in the form of dry wheat gluten (DWG) in an amount sufficient to achieve standard values of flour strength indicators. In terms of the total mass of the test sample, DWG was introduced in the ratio of 5, 10, 15 and 20 %. In the course of experimental studies, the quantitative values of the coefficients of elasticity (Ie, %) of the prototypes were determined, characterizing the tensile strength of the dough during deformation along two axes. With the addition of 5 % dry wheat gluten, the numerical value of Ie was 14.6 % for a dough based on wholeground barley flour. A further increase in the content of DWG in the dough recipe led to an increase in the values of Ie. The analysis of experimental data showed that the rheological characteristics of the dough obtained from flour based on whole grains of cereals and legumes are significantly improved with the addition of DWG (10 % DWG – to 29.2 %, 15 % DWG – 43.8 %, 20 % DWG – 58.4 %). This confirms that the main goal of the article has been achieved.

Experimental Exploration, RSM Modeling, and DFT/MD Simulations of the Anticorrosion Performance of Naturally Occurring Amygdalin and Raffinose for Aluminum in NaOH Solution

This paper underlined how the naturally occurring amygdalin (Amy) and raffinose (Raf) can inhibit the corrosion of aluminum in 0.1 M sodium hydroxide utilizing various tools at fixed temperatures. The obtained outcomes designated that the rate of corrosion of Al was set to rise with the rising alkali. The evaluated greater values of inhibition efficiencies (%IEs) of Amy and Raf (reaching 89% and 92%, respectively, at doses of 500 ppm) indicated that such compounds were efficient inhibitors against aluminum corrosion. Such %IE values depended on the concentrations and the structures of the inhibitors. The examined compounds played as mixed-kind inhibitors with a trivial cathodic priority. At similar concentrations, the average %IE values of raffinose were discovered to be faintly greater than those of amygdalin. The %IE values were reduced with the rising temperature. The acquired high values of %IEs were understood to be a result of the effective adsorption of the molecules of the examined compounds on the aluminum surface and the construction of a defensive film, and this adsorption was in agreement with the Langmuir adsorption isotherm. The thermodynamic and kinetic parameters were evaluated and debated. The kinetics of inhibition by the tested compounds were also investigated. The mechanisms of Al corrosion and its inhibition were discussed. The results acquired from the three utilized tools with respect to the values of %IEs were set to be in a good agreement with each other, confirming the validity of the obtained results of the existing study. Computational studies for the interactions between Amy and Raf molecules at the Al (1 1 1) surface were found to be consistent with the experimental results. The quadratic model of response surface methodology (RSM) modeling was used to expertly evaluate the relationships between the input parameters and the expected response (output).