Miracle-dz/UniFAR-FTUs huggingface dataset:
Gene Expression of Trehalase during Post-dormant Development of the Brine Shrimp, Artemia: Comparison of the Two Species

:Bascd on a homolo.ay screening approach, two dcgenerate oligonucleotidcs wcre employed as primers in a polymerasc chain rcaction to amplify a f'ragment of DNA cncoding trehalasc with a tcrnplate of cDNA dcrivcd from cmbryos ofAmerican Artenzia. Sequence analysis revealed that the fragment was composed ol' 228 bp comprising 76 amino acids, and highly homologous to trehalases of 71enebrio molitor rabbit, egagans, Bomojx mori and coli treA and order of description). This firagmcnt was uscd as a A Northern blot analysis on American ,Artemia showcd and , and the two larg.cr transcripts were also Southern both homo]ogous the their genome,
CONTINUING EDUCATION, TRAINING, AND LIFE CHANCES: A LINEAR STRUCTURAL RELATIONS ANALYSIS

Tbis study investigates the contribution of continuing education and job training in complementing and mediating the effects of initial (formal) education on the life chances of a group of Swedish men born around 1928 and followed up from 1938 (age 10) to 1988 (age 60). The findings indicate that the level of formal education attained early in life, i.e., before entering the labor market, influences the chance of participation in adult education and training programs. With respect to earned income, the effects of initial education increase sharply from age 25 to 40 and diminish gradually thereafter. The effects of ~ntinuing education on job status increase over time. The regression of earnings on indicators of participation in continuing education programs is not significant at any stage in careers. However, since job status has a large effect on earnings, and because the effect of continuing education on job status is highly significant, particularly in late career, the correlation between earnings and continuing education is significant and positive. Thus, the economic pay-off to the individual of pa~i~pation in continuing education depends on whether or not the individual gets a new job for which a higher skill level is required and a higher wage paid.
IJOMS Vol 18-4_23.indd

Introduction Guided bone regeneration(GBR)has recently become an essential therapeutic procedure for bone and peri implant defects, and it is also used for bone augmentation procedures prior to implant placement (1, 2). GBR requires a barrier membrane to prevent the invasion of soft tissue and to create a space for guiding new bone growth into the bone defect (3). GBR membranes are necessary for the success of GBR and must be biocompatible, flexible, and have sufficient mechanical strength. GBR membranes are grouped into two categories—non -resorbable membranes and resorbable membranes—according to their degradation characteristics (4). The non -resorbable membranes, such as polytetrafluoroethylene membrane and titanium membrane, have exCorrespondence to: Daisuke Isaji E-mail : mada16004@g.nihon-u.ac. jp Article History Abstract
Robust and resilient control design and performance analysis for uncertain systems with finite energy disturbances

ROBUST AND RESILIENT CONTROL DESIGN AND PERFORMANCE ANALYSIS FOR UNCERTAIN SYSTEMS WITH FINITE ENERGY DISTURBANCES Fan Feng Marquette University, 2016 This dissertation addresses the problem of robust and resilient control design with additional performance analysis for uncertain systems with finite energy disturbances. The control design is robust and resilient in the sense of maintaining certain performance criteria in the presence of perturbations in both system parameters and feedback gains. The performance analysis evaluates resilience properties of state feedback and dynamic (state estimate) feedback controllers. A resilient and robust state feedback controller is designed using linear matrix inequality (LMI) techniques for the characterization of solutions to the analysis and design problems posed in this work. Uncertainties are allowed in the linear and nonlinear parts of the system model and also in the feedback gain so that the designed controller is robust in addition to being resilient. The design of controllers for various performance criteria including asymptotic stability, H2, H, input strict passivity, output strict passivity and very strict passivity are presented. In addition to the design problem, an approach is presented for performance analysis of the resilience property of perturbed controller and observer gains. The resilience property is defined in terms of both multiplicative and additive perturbations on the gains so that the closed loop eigenvalues do not leave a specified region in the complex plane, such as a vertical strip, disk, sector region, etc. The method presented allows maximum gain perturbation bounds to be obtained based on the designer’s choices of controller eigenvalue region. The LMI technique is used also for the analysis process. Both design and analysis problems are treated using Lyapunov functions. All work is conducted for both continuousand discrete-time cases. Several illustrative simulation examples are included to show the effectiveness of the proposed design and analysis approaches.
Biomass energy with carbon capture and storage (BECCS): a review.

This is a review paper intended to provide an overview of debates relating to BECCS or bio-CCS, which are alternative terms for the coupling of bioenergy with carbon capture and storage (CCS). The paper follows from a workshop held in December 2009, hosted by the Scottish Centre for Carbon Capture and Storage at the University of Edinburgh, organised by Tyndall Manchester at the University of Manchester and funded by the Tyndall Centre. The principal rationale for BECCS is that whereas the current atmospheric concentration of CO2 is more than 380ppmv and rising, achieving the European policy aspiration of not exceeding a global temperature rise of 2? C is likely to require atmospheric concentrations of below 350ppmv CO2e. In theory, BECCS has the potential to help to bring the atmospheric CO2 concentration to below present levels, or at least to contribute to its reduction by delivering ? negative emissions? By capturing and storing the CO2 absorbed from the atmosphere by bioenergy feedstocks, BECCS can, in theory, deliver power and heat production with net negative emissions. Yet, while BECCS enthusiasts have drawn support from scenarios of large scale global bioenergy supply and its co-option into BECCS systems, the assumptions of sufficient accessible CCS capture, pipeline and storage infrastructure and that large scale bioenergy supply can be reconciled with competing uses of land (and water) are both uncertain. While biomass co-firing with coal offers an early route to BECCS, a quite substantial (>20%) biomass component may be necessary to achieve negative emissions in a co-fired BECCS system (a percentage that is dependent, of course, on system assumptions). Financially, significant incentives will be necessary to establish either BECCS or CCS; neither are currently competitive in Europe, given carbon prices within the EU ETS which is also not currently designed to credit negative emissions. Nonetheless, in cost terms, bioenergy compares well with other carbon abatement options, particularly if wastes or residues are used as fuel, and modelling suggests that BECCS would be an important component of energy systems intended to reach 350pmv CO2e. We judge that BECCS can and likely will play a role in carbon reduction, but that care needs to be taken to minimise the risks of disincentivising inherently low carbon energy systems via lock-in of fossil CCS. Care also needs to be taken not to exaggerate the potential of BECCS, given that (a) there are few studies of the cost of connecting bio-processing (combustion, gasification or other) infrastructure with CO2 storage sites; and (b) that scenarios of global bioenergy potential remain contentious.
Disney Shanghai Park: A Cultural and Psychographic Assessment

Amusement parks occurred in Europe and North American as early as in 19 century (Clave and Clarke, 2007). Theme park in China is relatively new. Not until 1989, first attraction development, the Splendid China, was established in Shenzhen (Ap, 2008). However, witnessed the rapid economic development in China in the past decades, Chinese consumers rapidly and significantly raised their leisure expenditure, one of key growth area is to attend theme park (Martin, et al., 2018). The theme park collects recreational entertainment, leisure activities, and seeking excitement into one entity, often preferred by visitors as one stop vacation-taking place. More important, theme park is often a center for cultural manifestation, responsiveness, and appreciation, and these attributes are often associated with the place where it is built. The purpose of this manuscript was to understand the cultural and psychological demands for the Disney Shanghai Park in China. A Triangulation method of Critical Analysis, Word Cloud, and Thematic Content Analysis was used. Two data points were analyzed: Hotel Comments and Park Remarks. The common thread through the Shanghai data was group processes and decisions that relate to the development of the group.
Extension of the publication paradigm: the textiles composites archive

The multi-scale structure of textile composites causes significant complexity in numerical models, the predictions, and the phenomena observed during experiments. Only a small fraction of the details can be included in the framework of a scientific publication. The proposed Textile Composites Archive extends the publication paradigm by providing a mechanism for sharing all of the essential details.
Fabrication and performance of 40-60 MHz annular arrays

The fabrication and performance of miniature high frequency (40-60 MHz) annular arrays is described. The arrays were fabricated using photolithography to define the electrode pattern, and ultrasonic wire bonding to make electrical contacts. The transducers were 2 mm in diameter with seven equal area elements and a centre frequency of 50 MHz. A -6 dB two-way beam width of 75 microns was found at f/2. The radiation pattern decreased smoothly to less than -60 dB at a distance of 550 microns.
Assessment of the Applicability of Combining the General Standardization Procedure with Principal Component Analysis in Classifying the Structure of Species Composition in Forest Stand

: This study assesses the applicability of combining the general standardization procedure (GSP) with principal component analysis (PCA) in ecological data analysis. For this purpose, we conducted a comparison of the performance of combined GSP and PCA with detrended correspondence analysis (DCA) in classifying the structure of species composition in natural forest stands at the Kwangneung Experimental Forest. Prior to analyzing the data using PCA, it was standardized using GSP to avoid the tendency of involutions accompanying PCA. Results showed that both approaches were successful in classifying stand species composition and provided ordination surfaces showing three separate groups-coniferous, deciduous and mixed forests. In terms of total explained variance, GSP-PCA seemed to demonstrate better performance than DCA. However, in classifying species composition structures by visual inspection of the ordination graphs, the ordination plots obtained using DCA were more eﬀective than those generated using GSP-PCA.
A Strategy for Optimal Operation of Hybrid AC/DC Microgrid under Different Connection Failure Scenarios

This paper proposes an operation strategy to optimize the day-ahead scheduling of hybrid AC/DC microgrid (MG). The strategy schedules its resources, such as distributed generators, AC/DC battery energy storage systems to minimize the operation cost while increasing the system reliability. Moreover, an energy management system (EMS) is developed based on centralized optimization framework, which is used to optimize the MG operation in grid-connected mode. On the other hand, the EMS aims to minimize the load shedding amount in both AC and DC sides in islanded mode. In this study, the operation of hybrid MG under different connection failure scenarios is also represented. The results illustrate the effectiveness of the strategy for different operation modes of hybrid AC/DC MG.
An innovative technique for megavoltage distribution improvement in cone-beam CT acquired simultaneously with spiral scans

Purpose: Acquisition of cone-pillar CT (CBCT) simultaneous with VMAT brings about disperse of the megavoltage (MV) bar onto the kilovoltage (kV) locator falling apart CBCT picture quality. The point of this paper is to build up a strategy to assess and adjust for MV diffuse achieving the kV board. Material and strategies: The revision technique depends on a rotating beat succession to such an extent that the kV source is empowered in just every other casing. MV scramble, clamor and antiquities in the kV-unexposed outlines are isolated in light of their spatial and worldly recurrence qualities and accordingly subtracted from the uncovered casings. The strategy was tried on a ghost and one lung growth tolerant checked on an Elekta Synergy framework concurrent with a 9 Gy VMAT conveyance. Results: Without adjustment, obtaining amid VMAT prompts huge measuring and loss of bone con-trast. The novel strategy evacuates the flag because of MV scramble. Contrasted with procurement without MV shaft, the reproduction quality is indistinguishable aside from some unavoidable clamor because of the scattered MV radiation in the uncovered edges. Rectification is performed in-accordance with procurement without presenting delays. Determinations: A novel, productive and compelling strategy was created to revise for MV disperse in CBCT checks obtained simultaneous with rotational radiotherapy.
Jet characteristics of CO2–O2 mixed injection using a dual-parameter oxygen lance nozzle for different smelting periods

Abstract The jet performance of an oxygen lance nozzle influences the smelting rhythm, smelting index, and energy consumption of a converter. Due to the complexity of the process of converter smelting, the changing temperature and gas composition in the converter significantly impact the jet characteristics of the oxygen lance nozzle in the smelting process; however, research on the change law of jet characteristics in different smelting periods is limited. In this study, we used Ansys Fluent 17.0, which is commercially available fluid simulation software, to simulate the variation of jet characteristics of a mixed injection comprising 6% CO2 and 94% O2; the mixed injection was tested using a dual-parameter oxygen lance nozzle in the early, middle, and late stages of smelting. The results show that the increase of CO concentration and ambient temperature in the converter lead to a decrease in the attenuation rate of jet velocity, improved independence of multiple jets, and an increase in the impact area of jets on the molten pool. Thus, when designing and employing oxygen lance nozzles, the influence of ambient temperature and furnace gas composition on jet characteristics must be considered.
Necrotizing Pancreatitis with Mediastinal Abscess Formation

Stephen N Fung1*, Sascha Vaghiri1, Johannes G Bode2, Lino M Sawicki3, Andreas Krieg1, Alexander Rehders1 and Wolfram T Knoefel1 1Department of Surgery (A), Heinrich-Heine-University and University Hospital Duesseldorf, Moorenstrasse 5, 40225 Duesseldorf, Germany 2Department of Gastroenterology, Infectiology and Hepatology, Heinrich-Heine-University and University Hospital Duesseldorf, Moorenstrasse 5, 40225 Duesseldorf, Germany
Data‐Driven Modelling of Quality and Performance Indices in Sintermaking

In developing data‐driven models of complex real‐world systems, a common problem is how to select relevant inputs from a large set of measurements. If the observations of the outputs to be predicted by the model are scarce, which may be the case if the outputs are indices determined in toilsome laboratory tests, strict constraints have to be imposed on the number of model parameters. In neural network modelling, this limitation in practice also restricts the number of hidden nodes as well as the number of input variables, since the dimension of the weight vector strongly depends on these. This paper presents a systematic method for data‐driven modelling with feedforward layered neural networks, including a method for the selection of input variables. The method is illustrated on a problem from ironmaking industry, where sinter quality indices are predicted on the basis of raw material properties. Furthermore, an inversion technique of the resulting network models is proposed, where an optimization problem is solved to maximize the performance of the sintering operation by manipulating the inputs.
The Adaptation of Math and Science Engagement Scales in the Context of Science Course: A Validation and Reliability Study

In this study, The Math and Science Engagement Scales developed by Wang et al. (2016) was adapted to Turkish in the context of science course and, the validity and reliability studies were conducted. The original version of the scale consists of 4 dimensions and 33 items. These dimensions are; cognitive engagement, behavioral engagement, emotional engagement, and social engagement. During the adaptation phase, the items were translated into Turkish by three experts. The Turkish forms were examined and the draft form of the scale was obtained by the researchers. Then, the two experts of the two languages were examined through the language equivalence expert form for word usage and cultural suitability. The participants of the study consisted of 519 students in 6. , 7. , and 8. grades studied at two secondary schools in a small scale city in the south east of Turkey during the 2019–2020 academic year. The convenience sampling method was used to determine the participants. Confirmatory factor analysis (CFA) was applied to the data obtained after the implementation. The fit index values obtained as a result of CFA (χ2 / df = 1.75; RMSEA = 0.038; SRMR = 0.049; RMR = 0.072; CFI = 0.98; NFI = 0.96) show that the 4-factor structure of the scale is acceptable. As a result of the reliability analysis, the Cronbach alpha reliability coefficient of the Turkish form of the scale was 0.90 and the Guttman Split-half coefficient was 0.81. Finally, it can be said that the validity and reliability of the 33-item and 4-dimensional Turkish form of the scale adapted with this study can be used to determine student engagement in science classes. Add your abstract here.
Estimation of Highway Project Cost using Probabilistic Technique

Accurate assessment of effort, time and resources for estimation of project cost is a challenging task for project managers. Several methodologies are commonly practiced around the globe for project cost estimation based on the project’s scope, type, and availability of resources. In developing countries like Pakistan most of the construction projects face delay and cost overrun, and construction industry continues to use traditional methodologies for preparation of project cost estimates. Present study developed a probabilistic framework for project cost estimation using Monte Carlo Simulation. A probabilistic model is proposed for estimation of total project cost using data on key risk factors that included (1) labour efficiencies, (2) machine efficiencies, (3) construction material wastages, and (4) construction items’ prices. Using data from completed highway projects, model validation results revealed that developed model has the ability to predict reliable future project cost.
Immunohistochemical pattern– a prognostic factor for synchronous gastrointestinal cancer

Recent advancements in medical genetics and molecular biology are reflected in the modern understanding and approach to colorectal carcinoma (CRC). Understanding the cellular mechanisms and mutational patterns that promote carcinogenesis could enhance the predictive accuracy of the TNM classification. Furthermore, this will allow for a much more documented stratification and tailored oncological treatment. This paper presents an illustrative case of a relatively young patient (50 years old) with no family history of cancer who was diagnosed with four synchronous gastrointestinal (GI) adenocarcinomas displaying a wild type P53, negative BRAF testing, and mutated MLH1 and PMS2 proteins. This case report contributes to the relevant literature with a concise review of the role of micro-satellite instability (MSI), chromosomal instability (CIN), and CpG island methylator phenotype (CIMP) in carcinogenesis, hereditary and sporadic gastrointestinal cancers, a discussion over the importance of molecular sub-typing in predicting long term outcomes and choosing the most suitable adjuvant treatment regimen.
Spectroscopy of 34,35 Si by b decay: sd - fp shell gap and single-particle states

The 34,35 Al b decays have been studied at the CERN online mass separator ISOLDE by b - g , b - g - g , and b - n - g measurements in order to corroborate the low-level description of 34 Si and to obtain the ﬁrst information on the level structure of the N 5 21 isotope 35 Si. Earlier observed g lines in 34 Al decay were conﬁrmed and new g transitions following both b decay and b -delayed neutron emission have been established. The ﬁrst level scheme of 35 Si includes three excited states at 910, 974, and 2168 keV. Indication is found for J p 5 (3/2) 2 and (3/2) 1 for the ﬁrst two excited states, respectively. Beta-decay half-life of T 1/2 5 38.6(4) ms and b -delayed neutron branching value P n 5 41(13)% were measured unambiguously. The signiﬁcance of the single-particle energy determination at N 5 21, Z 5 14 for assessing the effective interaction in sd - fp shell-model calculations is discussed and illustrated by predictions for different neutron-rich isotopes.
Open Access Journal of Bioequivalence & Bioavailability Artesunate Loaded Self Nanoemulsified Drug Delivery System: A Preliminary Study for Improved Efficacy in the Treatment of Malaria: Formulation, Characterization and Bio-Distribution Study

The current study focused on formulation and evaluation of Artesunate loaded Self Nanoemulsified Drug Delivery System (SNEDDS). The research oriented towards the establishment of the pharmacokinetic parameters and biodistribution of Artesunate for SNEDDS. Artesunate nanoemulsion were developed using lipid, surfactant and Co Surfactant respectively (Capryol 90, Cremophor EL and Ethanol) by Spontaneous emulsification method. The investigation includes various characterization studies viz., particle size distribution, poly dispersibility index, zeta potential, viscosity, refractive index, % transmission and conductivity. The results were found to be 110.4 nm, 0.386, -36.6 mV, 19.54 cps, 1.287, 100, 367.2 μS/cm respectively with the optimized formulation 5. The in vitro drug release of Artesunate from SNEDDS formulation for was extremely significant when compared to pure drug suspension and the marketed formulation. The maximum release of drug from SNEDDS, marketed formulation and pure drug suspension was 98.78%, 62.78% and 20.88% respectively. The pharmacokinetic parameters of C max , AUC (0- 2 h) , AUC (0-∞) , Kel, T max and MRT were found to be 2467 ± 11.98 ng/ml, 1278 ± 0.18 h.ng/ml, 3278 ± 0.78 h.ng/ml, 1.04 ± 0.07 h-1, 1.0 h and 1.87 ± 0.01 h, respectively. From biodistribution studies the concentration of dihydroartemisinin (metabolite of Artesunate) was found to be maximum in the order of liver>lung>kidney>spleen>brain>heart. The highest concentration of 1951.8 ng/g was found to be in the liver.
Parallel Connection of Silicon Carbide MOSFETs for Multichip Power Modules

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