Miracle-dz/UniFAR-FTUs huggingface dataset:
Size Controlled Synthesis of Fe3O4 Nanoparticles by Ascorbic Acid Mediated Reduction of Fe(acac)3 without Using Capping Agent

Magnetite (Fe3O4) nanoparticles were successfully synthesized by ascorbic acid mediated reduction of Fe (acac)3, without using any intentionally added capping agent. Fine tuning of synthesis parameters such as dropping rate of ascorbic acid solution, addition temperature, reflux temperature and time, and concentration of reactants have yielded nanoparticles of size 15±4 nm. Synthesis is observed to be highly reproducible. Possible mechanism for growth of Fe3O4 nanoparticles is suggested. Nanoparticles are characterized for their size, crystallinity and crystal structure, elemental analysis for impurities (if any), and presence of any additional oxide phases – by SEM and TEM, XRD, EDAX and XPS spectroscopy, respectively.
Screening for drought tolerance in cotton (Gossypium hirsutum L.) using in vitro technique

Drought is an important abiotic factor that is affecting crop production worldwide. Cotton (Gossypium hirsutum L.) is an important fibre affected by drought. Identifying cotton lines that are drought tolerant is crucial for breeding for drought tolerance in cotton, hence this experiment was undertaken to evaluate 12 lines of cotton for drought tolerance, viz: SAMCOT 8, SAMCOT 9, SAMCOT 10, SAMCOT 11, SAMCOT 12, SAMCOT 13, CL-07, LINE 17, LINE 18, LINE 30, MA-1 and MA-15 under in vitro condition using polyethylene glycol (PEG) 6000 at 0, 5, 10 and 15 g/L PEG concentrations. These were arranged in a 4 × 12 factorial experiment with three replications in a completely randomized design. Data were collected on shoot length (cm), shoot fresh weight (g), seedling fresh weight, root length (cm), root fresh weight (g) and number of roots. Results indicated that the PEG simulated drought stress adversely affected all the traits measured. Significant (P≤0.01) reduction was observed in all the traits as the PEG concentration increases from 0 to 15 g/L PEG. Result showed that CL-07, SAMCOT 8, SAMCOT 9 and LINE 30 recorded the maximum values for most of the shoot and root traits. Thus, these lines could be considered, having exhibited drought tolerance in vitro. Key words: Cotton, drought tolerance, in vitro, PEG 6000.
Reading Research Genre: The Impact of Thematic Progression

The research genre has specific communicative purposes which require students to understand the tone, generic and disciplinary conventions. The present study explored the potential of thematic progression (TP) to contribute to research argument readability. TP concerns how clauses encode information and how that information is carried forward. Three major types of TP include: (a) constant TP; (b) linear TP; and (c) derived TP. Overuse of constant TP often prevents a text from developing, while linear TP better contributes to cohesion. It was hypothesized that an effective TP pattern, if present, may help graduate students better grasp the gist in research arguments. Two groups of participants, native and non-native speakers of English, were recruited to read six Introductions of varying TP patterns and conceptualize their readability. The results revealed that the TP pattern may not have strong predictive power; rather, fewer information breaks better predict readability. Regardless of TP patterns, heavy themes and rhemes may impede understanding. Static and simple themes also do not facilitate readability. The use of metadiscursive devices may facilitate readability on condition that the themes are informative. Effective lexical chains and marked themes, which signal the ties between clauses, also ease processing.
Should It Stay or Should It Go? Developing an Enhanced SWOT Framework for Teaching Strategy Formulation

Strategy educators have employed SWOT analysis for decades as a means of teaching strategy formulation to students. Despite this well-established practice, many scholars and practitioners have called for discontinuing it as a pedagogical tool for several reasons, including that traditional undergraduate students may lack the practical experience to employ SWOT correctly, the framework presents “messy” strategic problems as overly rational, or it represents as an ambiguous and/or atheoretical classification system. We suggest possible remedies for SWOT analysis problems that may help improve its usefulness and promote its continued use. After briefly reviewing its original formulation, current textbook descriptions, and frequent criticisms, we present a refined and enhanced SWOT framework, anchored in extant strategy research and learning theory. We then demonstrate the efficacy of this enhanced framework with examples and preliminary data. Our fundamental conclusion is that SWOT analysis, when properly employed, remains a useful overarching framework that, among other advantages, helps bridge the “theory versus practice” pedagogical debate on how best to teach strategy formulation.
Two-Photon Excited Fluorescence and Second-Harmonic Generation of the DAST Organic Nanocrystals

The nonlinear optical properties of the size-controlled trans-4-[4-(dimethylamino)-N-methylstilbazolium] p-tosylate (DAST) organic nanocrystals (ONCs) have been investigated. The size and monoclinic crystal structure have been demonstrated by the scanning electron microscope, transmission electron microscope, and X-ray diffraction measurement. The DAST ONCs exhibited 6-fold enhanced fluorescence quantum yield and prolonged fluorescence lifetime compared to DAST molecular solution. The evaluations of two-photon excited fluorescence (TPEF) and second-harmonic generation (SHG) microscopes have been implemented for investigating the optical nonlinearities of DAST nanocrystals. The TPEF intensity of DAST ONCs was improved by a factor of 37.3 compared to DAST molecular solution. The extraordinary large two-photon absorption cross section up to 1.72 × 106 GM was observed. DAST ONC was demonstrated as a single crystal from the four-lobe polarization response in the SHG microscope. These results would provide DAST.
Exploring which aspects of a low‐intensity CBT intervention were found to contribute to a successful outcome from the service user point of view: A mixed methods study

The broad area of psychotherapy research is sometimes subdivided into that which focuses on outcome and that which focuses on process. Research into the active processes of psychotherapy can sometimes be occupied with debates around common versus specific factors. At the same time, within the process literature there has been increasing focus on the qualitative accounts of the service user in therapy and what they found to be significant or useful to them. The aim of this mixed methods study was twofold: first, to identify what elements of a relatively brief CBT intervention contributed to a successful outcome from the point of view of the service user. Participants were recruited at a low- intensity Improving Access to Psychological Therapy (IAPT)
Ultra-Sensitive LC-MS/MS Method for the Trace Level Quantification of Six Potential Genotoxic Nitrosamine Impurities in Telmisartan

Nitrosamine impurities are potentially genotoxic which are considered under cohort of concern as per ICH M7 guidelines and need to be controlled at trace levels during quantification in drug substances and drug products for safe human consumption. Recent regulatory requirements also suggest the need to have highly sensitive analytical methods for the accurate quantification of Nitrosamine impurities. In this paper we have presented simple, rapid and ultra-sensitive LC-MS/MS method for six potential genotoxic nitrosamine impurities: N-Nitroso dimethyl amine (NDMA), N-Nitroso diethyl amine (NDEA), N-Nitroso Ethyl Iso propylamine (NEIPA), N-Nitroso-N-methyl-4-aminobutyric acid (NMBA) N-Nitroso diisopropylamino (NDIPA) and N-Nitroso dibutyl amine (NDBA) with a LOQ of 0.004 ppm. Chromatographic separation is achieved using Zorbax SB C18 150 × 3.0 mm, 3.5 μ column with 0.1% formic acid in water as mobile phase A and 0.1% formic acid in methanol as mobile phase B at a flow rate of 0.3 ml/min using gradient mode of elution at a total run time of 18 minutes. Six nitrosamine impurities are successfully ionized and quantified in positive mode of atmospheric pressure chemical ionization (APCI) using multiple reaction monitoring (MRM). Method validation is performed as per ICH guidelines evaluating the limit of quantification and detection and found to give good S/N ratios with good linearity range of 0.002 - 2 ppm with regression coefficient >0.99 for all the six nitrosamine impurities. Method recoveries are established using three-step sample preparation protocol and are found to be satisfactory within 80% - 120%. The method can be used routinely applied for the detection of Nitrosamines in Telmisartan at a concentration of 1.5 ng/ml (0.03 ppm with respect to telmisartan concentration of 50 mg/ml).
Probabilistic Design of Retaining Wall Using Machine Learning Methods

Retaining walls are geostructures providing permanent lateral support to vertical slopes of soil, and it is essential to analyze the failure probability of such a structure. To keep the importance of geotechnics on par with the advancement in technology, the implementation of artificial intelligence techniques is done for the reliability analysis of the structure. Designing the structure based on the probability of failure leads to an economical design. Machine learning models used for predicting the factor of safety of the wall are Emotional Neural Network, Multivariate Adaptive Regression Spline, and SOS–LSSVM. The First-Order Second Moment Method is used for calculating the reliability index of the wall. In addition, these models are assessed based on the results they produce, and the best model among these is concluded for extensive field study in the future. The overall performance evaluation through various accuracy quantification determined SOS–LSSVM as the best model. The obtained results show that the reliability index calculated by the AI methods differs from the reference values by less than 2%. These methodologies have made the problems facile by increasing the precision of the result. Artificial intelligence has removed the cumbersome calculations in almost all the acquainted fields and disciplines. The techniques used in this study are evolved versions of some older algorithms. This work aims to clarify the probabilistic approach toward designing the structures, using the artificial intelligence to simplify the practical evaluations.
Modulation of morpho-physiological and biochemical attributes of Solanum melongena L. (brinjal) by exogenous application of thiuorea under salinity

Salinity is a major stress that lowers the plant production globally. The main purpose of present study was to overcome the adverse effects of salinity stress by foliar application of Thiourea. In this experiment Thiourea (0, 500, 1000 mM) was applied on four varieties (Bemissal, Verab, Black Round and Purple Pearl Long) of Brinjal as foliar spray to alleviate the inhibitory effects of salt stress (0mM, 200 mM). There were three replicates for each treatment. Completely Randomized Desig (CRD) was used for this experiment.The morphological and biochemical attributes of Brinjal were noted. The salinity stress caused reduction in plants fresh and dry biomass, photosynthetic pigments, total free amino acids. However, foliar spray of thiourea impoved these growth attributes and activities of antioxidant enzymes i.e POD, SOD& CAT under salt stress.
Anthropometric Characteristics of Polycystic Ovary Syndrome and Their Associations with Insulin Resistance and Lipid Profile

This study evaluates whether women with PCOS have a different body composition than non-PCOS women (controls), estimated by anthropometric methods, and whether body composition and PCOS condition could be predictors of insulin resistance (IR) and lipid profile (LP) in an independent manner. A case-control study was conducted in which women (126) were diagnosed with PCOS by the Rotterdam criteria and controls (159) were women without PCOS attending the gynecological clinic for routine examinations. Women with PCOS had higher body mass index, percentage of fat mass, and testosterone than controls. A higher fat mass predicted higher levels of triglycerides, LDL-c, and lower levels of HDL-c independently of PCOS condition. HOMA-IR was related to fat mass and was more significant in patients with PCOS. A higher bone mass was associated with lower total cholesterol and LDL-c independent of PCOS condition. Lower HOMA-IR remained associated with PCOS regardless of bone mass. Lean mass percentages predicted a better metabolic profile (lower triglycerides and higher HDL-c), and was also modulated by PCOS condition. Our results highlight the importance of body composition as an anthropometrical characteristic of PCOS, and the relationship of fat mass with a worse metabolic profile. In addition, PCOS condition was associated with worse HOMA-IR independent of body composition.
Investigating Sequential Vapor Infiltration Synthesis on Block-Copolymer-Templated Titania Nanoarrays

Sequential vapor infiltration synthesis (SVIS) within block-copolymer templates has emerged as an attractive means for the controlled formation of metal oxide nanoarrays on arbitrary substrates. This approach takes advantage of the molecular-level controls that are inherent in the production of the template and the exposure tools that are available for the vapor-phase growth of materials. To take adequate advantage of these controls and their dependencies on any environmental factors, it is essential to understand the mechanisms that govern nanostructure morphology at different stages of the growth process. To this end, this work correlates the evolution of the internal structure with the chemical functionality of block-copolymer templates in response to different conditions of exposure to volatile titania precursors. The evolution is followed by mapping structural and functional information at lateral and vertical resolutions down to a few nanometers through a combination of electron microscopies [scanni.
Phylogenetic and diversity analyses of Garlic common latent virus based on the TGB and CP gene sequence

Garlic common latent virus (GarCLV, Carlavirus), in co-infection, often worsens the severity of other Allium viruses on the garlic (Allium sativum Linnaeus). The nucleotide (nt) and amino acid (aa) sequences of the TGB and CP genes were analysed to get the first deep insight into the genomic variations and population structure of GarCLV. Global recombinant-free isolates were clustered into three clades in both the nt-based phylogenetic trees of TGB and CP. The clade 3 isolates shared low similarity percentages among themselves, as well as to the clade 1 and 2 isolates. Most major aa changes in the CP were observed on its 5' and 3' ends. Clade 2 obtained the lowest S, η, k, and π values for both the TGB and CP, which indicated low variations among its isolates. Both TGB and CP have undergone a negative selection, with CP being under stronger negative pressure than TGB. Neutrality tests estimated the non-significant negative values to all clades for TGB and CP, except Tajima's D for clade 2 of the TGB. The results of the Ks*, Kst*, Z*, and Snn tests suggested that all three phylogroups were divergent to each other for both TGB and CP. The high Fst on all the clade comparisons for both TGB and CP showed a large gene flow among three clades.
Molecular characterization, pathogenicity and copper sensitivity of Xanthomonas citri pv mangiferaeindicae, the causal agent of mango bacterial black spot disease in Ghana

Abstract Recent outbreak of the mango bacterial black spot disease has resulted in massive damages to the Ghanaian mango industry. Research was carried out to confirm the etiology of the disease. Diseased mango fruits and leaves were collected from Greater Accra (Asutuare and Dodowa), Eastern (Akuse, Somanya) and Volta (Juapong) regions, and the suspected causal bacterium was isolated. The pathogen was identified as Xanthomonas citri pv mangiferaeindicae based on cultural and morphological characteristics and sequence analysis of the cpn60 gene. The pathogenicity of the bacterial pathogen on mango and cashew was determined and its sensitivity to some selected copper based fungicides available in Ghana was evaluated by the agar diffusion bio-assay. All strains of the pathogen were able to cause disease symptoms on artificially inoculated mango and cashew leaves. The pathogen was highly sensitive to Copper oxychloride, Copper hydroxide and Coprous oxide at very low concentrations.
QTL mapping of five forage quality traits in sorghum × sudangrass

The quantitative trait locus (QTL) mapping for quality traits will improve the breeding of sorghum-sudangrass. In this research, we characterized the phenotype of 126 RILs and their parents –Tx623A (sorghum) and Sa(Sudangrass) for two successive years ( 2018 and 2019). The phenotypes included five forage quality traits which were crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL) and the content of hemicellulose (HC). We also mapped 19 QTLs controlling these traits in a RIL population between sorghum Tx623A and sudangrass Sa. A high density genetic map was constructed by RAD-seq. There were 1065 markers and the total length was 1191.7 cM in the genetic map. Consequently, a total of 19 QTLs were detected for the five traits, which included one QTL for CP, five QTLs for NDF, three QTLs for ADF, two QTLs for ADL and eight QTLs for HC. Four overlapping QTLs were detected for NDF, ADF, ADL and HC. The research results will supply very meaningful information to make better the forage quality breeding in sorghum-sudangrass hybrids.
Perceived Barriers to Pediatric Clinical Trials Implementation: A Survey of Health Care Staff

Introduction Clinical trials are the gold standard for assessing the effectiveness and safety of treatments. The objective of this study was to assess provider opinions regarding implementing pediatric clinical trials in various practice settings across Kansas. Methods The study was completed within the Sunflower Pediatric Clinical Trials Research Extension (SPeCTRE), an affiliate of the IDeA States Pediatric Clinical Trials Network (ISPCTN). A cross-sectional, 36-item survey was administered to a state-wide convenience sample targeting health care providers and clinic staff. Results A total of 115 health care providers and clinic staff completed surveys; 31% were physicians. Physicians were more likely than other clinic staff to have experience with clinical trials (correlation coefficient [CC] = 0.270, p = 0.004). When compared to urban respondents, rural providers were less supportive of recruitment for clinical trials in their practices (CC = −0.251, p = 0.008) and more likely to feel comfortable referring patients for clinical trials involving treatments that their insurance did not cover (CC = 0.302, p = 0.001). Conclusions A range of rural and urban health care professionals supported conducting pediatric clinical trials but identified several barriers as well. These results will support future pediatric clinical trials across the country including Kansas.
Academic track mismatch and the temporal development of well-being and competences in German secondary education

Formal education is one of the most influential predictors of professional success. As parents in Germany are aware of the importance of education, they often try to enable their children to enrol in the prestigious academic schooling track (Gymnasium). This explains why the transition recommendation made by the teacher after the fourth grade is sometimes ignored if the desired track was not recommended for a particular student. How the mismatch between the teacher’s recommendation and the parents’ choice of schooling for their child affects the child’s development is not sufficiently known. It is very likely that such a mismatch can have consequences for the child’s well-being, competences and overall academic success. Based on five consecutive panel waves of German National Educational Panel Study (NEPS) data (waves 1 to 5, collected between 2010 and 2016) (n = 2;790 in wave 1), our analyses demonstrate that social background and the probability of ignoring a teacher’s recommendation are associated, and that highly educated parents are more likely to overrule the teacher’s recommendation. Panel regression models show that pupils who pursued the academic track (Gymnasium) despite the absence of a teacher’s recommendation were more likely to drop out of the academic schooling track, and were not able to catch up with their peers with respect to both objective and subjective academic competences over the entire observation window. However, the models also show that academic track mismatch did not seem to negatively influence the health and well-being of these pupils.
The Effectiveness Of A Persuasive Mobile App To Influence Habit Change

Failure in changing bad eating habit as well as constant practice of poor lifestyle lead to major health issues among Malaysia citizens. As a result, the number of overweight citizens keeps raising at an alarming rate. Malaysian government has launches several campaigns urging Malaysian to conduct healthier lifestyle as well as taking healthier diets but to little or no avail. Apparently, bad habit is difficult to be changed. Even if some measures were taken to form a new and better habit, unfortunately, new habit is difficult to sustain. This study attempts to investigate the possibility of influencing habit change using a persuasive mobile application that monitors the users when adopting new habit. For this purpose, a mobile application prototype with recommended healthy habits and diets was develop and tested with six volunteers. The participants installed and used the mobile app daily for a week, and their interactions with the app were tracked and monitored. On the last day of the testing period, a semi-structured interview was conducted to record their experiences and opinions about the mobile app. The result of the study indicates the potential of monitored mobile application in inducing changes in daily habit, specifically in exercising and taking healthier diet.
Miscibility, Microstructure, and Thermal and Dielectric Properties of Reactive Blends of Dicyanate Ester and Diamine-Based Benzoxazine

This study discusses the miscibility, microstructure, and the thermal and dielectric properties of the reactive blends of dicyanate ester of bisphenol A and diamine-based benzoxazine. DSC and IR were applied to monitor the curing reactions of the reactive blends. Three reactions were observed in the curing reactions: the first is the cyclotrimerization of cyanate ester, producing the triazine structure; the second is the coreaction between the triazine structure and benzoxazine, forming alkyl isocyanurate and diphenyl ether linkages, followed by the further reaction of the isocyanurate linkage; and the third is the ring-opening of benzoxazine. The coreaction decomposes the polycyanurate structures and brings parts of the polycyanurate structures into the polybenzoxazine matrix. Thus, a miscible blend can be achieved in all compositions, as judged by the single composition-dependent Tg in the dynamic mechanical and thermal mechanical analyses. The experimental data also show that the dimensional stability .