Miracle-dz/UniFAR-FTUs huggingface dataset:
Model Analysis of Mixing Time Correlation in an Agitated Vessel with Paddle Impeller

From a new model obtained by combining the circulation model with the eddy diffusion model two dimensionless parameters were derived to correlate the mixing time with the power number and the discharge flow rate number for an agitated vessel with paddle impeller. The parameter which contained the mixing time was Y = (ntM)(Nqd)(d/D)3(D/H) and the one which contained the pumping efficiency number was X = {(D/d)4Np/Nqd3}1/4(H/D)1/2. These parameters Y and X were used to correlate the mixing time measured by several researchers, who measured the mixing time, the power number and the discharge flow rate number at the same time. The mixing time correlation obtained was expressed by Y = 6.7X-1, which was rewritten by the following expression. ntM = 6.7(D/d)2(Np·Nqd)-1/4(H/D)1/2 The mixing time estimated from the correlation well agreed with those from the empirical correlations reported before within the experimental error. The simulated result of the mixing time for a pitched blade paddle impeller by Patwardhan and Joshi (1999) was also correlated well with the obtained mixing time correlation.
An End to End Learning Approach for Distance Estimation Trained with Artificially Generated Stereo Images

: This paper proposes a solution for distance estimation using stereo images. The solution is a convolutional neural network that takes two images as an input, and outputs the distance estimate, without the need for prior camera calibration or disparity map calculation. The dataset used for training consists of images generated from an artificially constructed 3D scene. The training algorithm used was stochastic gradient descent. Evaluation of the solution was conducted on a separate dataset. Mean absolute error after the evaluation was 1.59 m, while the median value of the absolute error was 1.2 m. These results show that the proposed solution is a valid proof of concept for the usage of convolutional neural networks for the distance estimation of objects in stereo images in a single step.
The B7 family molecules in oral squamous cell carcinoma: a systematic review. Part II: B7-1, B7-2, B7-H2, B7-H3, B7-H4, B7-H5 (VISTA), B7-H6 and B7-H7

Introduction: The most common malignant neoplasm of the oral cavity is squamous cell carcinoma. It accounts for over 95% of malignant lesions in this area and is characterised by rapid spread and distant metastases. Aim: To collect and review the data on B7 family proteins as prognostic factors in oral squamous cell carcinoma and to describe their role in aggressive disease progression. Material and methods: A systematic review of the literature about B7-1, B7-2, B7-H2, B7-H3, B7-H4, B7-H5 (VISTA), B7-H6 and B7-H7, was carried out, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. 9 articles published before 22 May 2020 were included in the systematic review. Results: The biggest study group consisted of 201 patients and the smallest – 40 patients. B7-1, B7-H3, B7-H4, B7-H5, B7-H6 and B7-H7 protein expressions were prognostic factors. Overall survival was significantly associated with B7-H3, B7-H5, B7-H6 and B7-H7. Immunohistochemistry was the diagnostic method used in all the studies. Conclusions: The data presented indicate the complexity of cellular and molecular processes related to the forma-tion, development and invasion of oral cancer. Mutations in genes encoding the B7 family and changes in the B7 protein pathway may affect the prognosis of survival in patients with oral squamous cell carcinoma. -1722C/T, -1661A/G, -1661G/G, -1661A/A and -318C/T the promoter region, 49A/G in exon 1, and CT60A/G in the 3’untrans-lated Genotypes:
Design of Purebred Dog Recommendation System Using MCDM Approach

A R T I C L E I N F O A B S T R A C T Article history: Received: 15 May, 2020 Accepted: 18 August, 2020 Online: 09 September, 2020 The dog is one of the first animals domesticated by human, and for thousands of years, it has been artificially bred into hundreds of types in order to provide certain traits that humans want. Nowadays, the selection of dogs by potential adopters has become a problem due to the availability of different type of breeds with their physical and mental characteristics. This study aims to design a decision support system through an analytical model that uses variety of data on the characteristics of purebred dogs obtained from different sources. Data from official sources is obtained from international purebred dog organizations that set the standards for each breed type, while data from unofficial sources is obtained from the dog lovers community, experts, and kennel owners. The result of the study provides appropriate recommendations to potential adopters in selecting a breed that suits their preferences and needs.
Factors Determining Brand Equity for Retail Stores: A Market Segmentation Approach

The present study aims to analyze factors of brand equity in the retail stores in Vietnam; to recognize sub-dimensions connected with the forms of brand equity and thereby study the extent of the relationship among bases of market segmentation and brand equity. The present research made a collection of data by conducting a preliminary study. Responses were collected from the customers through a structured questionnaire to buy goods and services from the retail store in Vietnam. The sample size selected for the study was 196. The study applied various statistical tools, namely, Cronbach’s Alpha for reliability checking, correlation and regression statistics with the support of SPSS Software. The brand association is treated as a vital determinant of brand equity that significantly influences the bases of market segmentation. Further, the study also recognized the fact that the majority of consumers who prefer to buy from retail stores are young and in the age-group of 18-24 years. The present study made an initial attempt to study the relationship among bases of market segmentation with the factors related to brand equity; thereby to offer a novel conceptual framework designed for retail stores in Vietnam for brand positioning.
Convergent evolution of sexually dimorphic glands in an amphi-Pacific harvestman family

Abstract. Sexually dimorphic traits are widespread in animals, and include sex-specific weapons, ornamentation and, although less noticed, glands and associated structures. In arachnids, certain lineages of the order Opiliones exhibit diverse forms of dimorphism in the armature and length of appendages (common in Laniatores), as well as in the presence of sexually dimorphic glands (mostly investigated in Cyphophthalmi), positing harvestmen as promising models to study sexual dimorphism. Whereas the evolution and ecological significance of armature have been the focus of recent attention, sexually dimorphic glands remain understudied in groups other than Cyphophthalmi, despite being widespread in Opiliones. We therefore selected the amphi-Pacific family Zalmoxidae as an ideal taxon to investigate the evolutionary dynamics of this trait. We first describe four new species of Palaeotropical Zalmoxis, including a species with sexually dimorphic glands, and describe the morphology of zalmoxid species with sexually dimorphic glands using scanning electron microscopy. Using a previously assembled six-locus dataset supplemented with new terminals, and applying stochastic character mapping, we infer that sexually dimorphic glands evolved once in the Neotropics and at least four times in the Palaeotropic zalmoxids, revealing the evolutionary lability of this trait.
Study of pH/temperature dual stimuli‐responsive nanogels with interpenetrating polymer network structure

Nanogels with interpenetrating polymer network (IPN) structure based on poly(N-isopropylacrylamide) (PNIPAM) and poly(acrylic acid) (PAA) were synthesized by in situ polymerization of acrylic acid and N, N′-methylenebisacrylamide within the PNIPAM nanogels. Their IPN structure was confirmed using transmission electron microscopy after staining by uranyl acetate. The temperature- or pH-dependent hydrodynamic diameters measured using dynamic laser light scattering show that the IPN nanogels have pH and temperature dual stimuli-responsive properties. As compared to previously reported pH/temperature dual stimuli-responsive nanogels, these IPN nanogels have the advantage of less mutual interference between the temperature-responsive and pH-responsive components, which is beneficial for their applications in controlled drug release and sensors. The temperature- and pH-triggered volume phase transition mechanisms of the IPN nanogels were tested by probing the microenvironment change of their PNIPAM and PAA chains upon phase transition using infrared (IR) absorption spectra measured at different pH values and IR difference spectra obtained by subtracting the IR spectrum obtained before temperature-induced phase transition from that obtained after phase transition. Copyright © 2012 Society of Chemical Industry
The Effect of User Experience from Teksologi

A R T I C L E I N F O A B S T R A C T Article history: Received: 07 June, 2020 Accepted: 19 September, 2020 Online: 12 October, 2020 A meaningful User Experience can indicate successful of the application, so it is important to provide positive experience which aims to maximize the usability of an application. The purpose of this current study is to evaluate the user experience of an application called Teksologi: Gamification interactive typing for visually impaired children in Indonesia. User Experience Questionnaire (UEQ) were applied to measure several aspects include attractiveness, dependability, efficiency, perspicuity, novelty, and stimulation. A total of 22 visually impaired participants had been involved for this study. Besides, Alpha Cronbach test and directly check the means of each items inside the scales to draw the conclusions were conducted to examine the consistency of each aspect, then comparison to UEQ benchmark also applied. The result show that all the quality aspect is positive. At the same time, stimulation had the highest value, but perspicuity had the smallest value that enhancement will be needed to make user feel easy to get familiar with the application, easy to learn to use the application.
Analysis of multiplets in two‐dimensional NMR spectra by topological classification: Applications to vinblastine and cyclosporin A

A recently develpoed approach for the analysis of cross‐peak multiplets has been applied to two‐dimensional correlation spectra of the binary alkaloid vinblastine and the cyclic undecapeptide cyclosporin A. The experimental multiplet patterns are encoded in a manner that depends on the topology of the coupling network but not on the values of the coupling constants. Multiplets that are expected to occur for various possible coupling networks are similarly encoded in a library to allow comparison with experimental multiplets. The program is called MARCO POLO (Multiplet Analysis by Reduction of Cross peaks and Ordering of Patterns in an Overdetermined Library Organization). The outcome of this type of automated analysis is discussed in detail, with particular emphasis on remaining ambiguities.
Nonplanar Nanographenes Based on Tribenzotriquinacene or Fenestrindane Core

Our recent research efforts on the synthesis of nonplanar nanographenes bearing tribenzotriquinacene or fenestrindane skeleton are summarized. Wizard hat-shaped or saddle-shaped nanographenes could be prepared using a non-classical Scholl-type cycloheptatriene formation or 19-membered ring macrocyclization. The key to the success of these transformation relies on the proper installation of the electron rich aryl functional groups in the bay areas of these molecular motifs. The three-dimensional structures of some of the nanographenes were determined by X-ray crystallography. Furthermore, these carbon-rich π-conjugated molecules are also showed to have interesting photophysical, self-assoication and host-guest complexation properties.
Deep eutectic solvents and glycerol: a simple, environmentally benign and efficient catalyst/reaction media for synthesis of N-aryl phthalimide derivatives

Abstract Deep eutectic solvents (DES) and glycerol have been successfully employed as efficient catalysts/reaction media in the synthesis of N-aryl phthalimide derivatives from phthalic anhydride and primary aromatic amines. The DES prepared from choline chloride and malonic acid proved to be an efficient catalyst whereas glycerol and the DES of choline chloride and urea played a dual role of catalyst and solvent. These mixtures are biodegradable, nontoxic, and cost-effective thereby providing a good industrial alternative to conventional methods. These methods gave products in moderate to high yields with good recyclability of catalyst/solvent at least up to five consecutive runs.
DVIO: An Optimization-Based Tightly Coupled Direct Visual-Inertial Odometry

In this article, we propose a novel optimization-based tightly coupled Direct Visual-Inertial Odometry (DVIO), which fuses the visual and inertial measurements to provide real-time full state estimation. Different from existing frameworks, the key novelty of the proposed method is to integrate the data association, state estimation, and outlier detection into a nonlinear optimization framework in a tightly coupled way. Specifically, by jointly minimizing the preintegration error of the inertial measurement unit and the photometric error of the camera, the data association is tightly coupled with the process of state estimation. Then, an iterative selection strategy is design to reject outliers during the data association and establish more visual constraints in the optimization. In addition, a hybrid weighting method is proposed to tightly integrate the iterative selection into the optimization by dynamically weighting residual terms. As a consequence, the proposed method aligns the image patches, estimates the motion and removes the outliers synchronously. Comparative experiments on the public dataset and extensive real-world experiments show that DVIO outperforms state-of-the-art visual-inertial odometries in terms of both the accuracy and the robustness. Thus, DVIO is highly applicable to the navigation or the simultaneous localization and mapping of mobile devices or agile robots like micro air vehicles.
Functional connectivity and neuronal dynamics: insights from computational methods

Brain functions rely on flexible communication between microcircuits in distinct cortical regions. The mechanisms underlying flexible information routing are still, however, largely unknown. Here, we hypothesize that the emergence of a multiplicity of possible information routing patterns is due to the richness of the complex dynamics that can be supported by an underlying structural network. Analyses of circuit computational models of interacting brain areas suggest that different dynamical states associated with a given connectome mechanistically implement different information routing patterns between system's components. As a result, a fast, network-wide and self-organized reconfiguration of information routing patterns-and Functional Connectivity networks, seen as their proxy-can be achieved by inducing a transition between the available intrinsic dynamical states. We present here a survey of theoretical and modelling results, as well as of sophisticated metrics of Functional Connectivity which are compliant with the daunting task of characterizing dynamic routing from neural data. Theory: Function follows dynamics, rather than structure Neuronal activity conveys information, but which target should this information be-pushed‖ to, or which source should new information be-pulled‖ from? The problem of dynamic information routing is ubiquitous in a distributed information processing system as the brain. Brain functions in general require the control of distributed networks of interregional communication on fast timescales compliant with behavior, but incompatible with plastic modifications of connectivity tracts (Bressler & Kelso, 2001; Varela et al., 2001). This argument led to notions of connectivity based on information exchange-or more generically, an-interaction‖-between brain regions or neuronal populations, rather than based on the underlying STRUCTURAL CONNECTIVITY (SC, i.e. anatomic). An entire zoo of data-driven metrics has been introduced in the literature and this chapter will review some of them. Notwithstanding, they track simple correlation, or directed causal influence (Friston, 2011) or information transfer (Wibral et al., 2014) between time-series of activity. These
Status of BSIT Program in Region 4B SUCs: Basis for Regional Qualification Framework towards ASEAN Connectivity

This paper aimed to determine the status of Bachelor of Science in Information Technology (BSIT) program among State Universities and Colleges (SUCs) in Mindoro, Marinduque, Romblon and Palawan (MIMAROPA) Region 4B, Philippines in terms of administration qualification, teacher competency, infrastructure, and student competency basis for regional qualification framework towards ASEAN connectivity. Thirty-seven (37) BSIT program heads/directors and teachers and 244 4th year BSIT students were participants of the study. Findings revealed that administration qualification among teachers was low which indicates that the teacher qualifications needs to be improved and strengthened. Findings also revealed that teacher competency is on the high extent which shows that teachers are competent to teach the assigned subjects. The infrastructures were proved as on the high extent which indicates that SUCs in MIMAROPA provides good services to the needs of the BSIT students. Lastly, the student competency revealed as high which shows that student acquire the basic knowledge and skills. However, there are some areas or skills that need to be enhanced to be eligible to ASEAN member countries. But as for local and national level, the BSIT program among SUCs in MIMAROPA are complaint with the basic standards. Based on the result, the proposed regional qualification framework to improve the teachers and students competencies is recommended to be eligible and skilled in the ASEAN Economic Community.
Assessment of whole-body vibration exposure of mining truck drivers

Whole-body vibration (WBV) exposure measurements taken from 105 truck drivers employed in 19 mines and other workplaces were evaluated with the criteria prescribed in EU 2002/44/EC directive, BS 6841 (1987), ISO 2631-1 (1997). and ISO 2631-5 (2004) standards. The highest vibration acceleration was measured on the vertical Z-axis. The highest WBV exposure occurred in the RETURN, HAUL, and SPOT phases while the lowest exposure took place in the LOAD and WAIT phases. Crest factors on all axes were generally greater than nine, yet strong correlation coefficients were achieved in VDV–eVDV analyses. Driver seats generally dampened the vibration along the Z-axis but exacerbated it along X and Y axes. The dominant frequency for the X and Y-axes rose up to 40 Hz while it ranged between 1 Hz and 2.5 Hz along the Z-axis. While the probability of an adverse health effect was higher with BS 6841 (1987) and ISO 2631-1 (1997) standards, it was low according to EU 2002/44/EC and ISO 2631-5 (2004). The 91 t, 100 t, and 170 t capacity trucks produced lower vibration magnitudes. Drivers were exposed to approximately equivalent levels of WBV acceleration and dose in contractor-type trucks and mining trucks. Rear-dump trucks exposed their drivers to a slightly higher level of vibration than bottom-dump trucks. Underground trucks exposed their drivers to a significantly higher level of vibration than mining trucks. Both driver age and driver experience were inversely proportional to vibration acceleration and dose. Conversely, there was a positive relationship between the truck service years and the WBV acceleration and dose to which drivers were exposed to. Loads of blocky material exposed drivers to higher vibration acceleration and dose levels than non-blocky material.
The role of bank analysts and scores in the prediction of financial distress: Evidence from French farms

The purpose of this paper is to explore the role of bank analysts and scores in the prediction of financial distress. For regulatory and economic reasons, banks are in the frontline for assessing financial distress through â€œhardâ€ and â€œsoftâ€ criteria. While a large literature already exists on this topic, the agricultural sector has not been investigated. However, farms are risky businesses which mainly rely on bank loans for their development. Our analysis relies on a unique dataset of 1,045 farms which are customers of a French bank. Predictors of financial distress are based on risk scores and bank analysts' opinion. Zero-inflated negative binomial and logit regressions are used to assess their explanatory power of financial distress. Results show that scores, especially the one measuring the counterparty risk, are better predictors than analysts of the occurrence of an incident and its duration. Surprisingly, the duration of the customer-bank relationship does not allow us to predict future incidents. The analysis may be extended to other sectors such as small and medium-sized enterprises.
YOUNG PEOPLE’S ATTITUDES AND FINANCIAL BEHAVIOUR. EVIDENCE FROM ROMANIA

Nowadays, it is well known that money, through the means of obtaining and saving, has a major influence on the good functioning of the economy in society and implicitly in the process of its development. This influence has an impact on every individual in our society, on our decisions, choices, plans and preferences. At the same time, however, each participant in the economy of a state, whether it be individuals, companies, corporations or business partners, competes in the evolution of the economy through the type of management of the finances it adopts. In this regard, the present research aims to establish what is the young peoples' behavior (aged between 18 and 40) in terms of how to save money as well as the peoples' inclination to call a financial advisor for making decisions regarding the management of personal income and expenses. Therefore, with the help of survey type research, based on a questionnaire, the results of the study reveal an increased interest of Romanian young people in terms of the tendency to save money. It also highlights the awareness of the importance of financial knowledge in the process of saving money, as well as the tendency of respondents to constantly update this information, with the help of financial experts
Properties of PT/P(VDF-TrFE) Pyroelectric Sensor Based on Plastic Film Substrate

Nanosized lead titanate (PT) powder obtained by a sol-gel method was homogeneously mixed with vinylidene fluoride-trifluoroethylene [P(VDF-TrFE)] to form a nanocomposite with 0.12 volume fraction of PT. The PT/P(VDF-TrFE) nanocomposite film was used as the sensing element of pyroelectric sensors, whose detectivity was about 20% higher than that of sensors using pure P(VDF-TrFE). A 35 nm indium tin oxide (ITO) film was deposited as the bottom electrode on a poly(ethylene terephthalate) (PET) plastic film substrate, and a Ni-Cr film was deposited as the top electrode and absorption layer. The PET plastic substrate could effectively decrease the thermal conductivity of the element, consequently the thermal fluctuation noise of the pyroelectric element was decreased significantly and the voltage responsivity was increased. The experimental results indicated that the specific detectivity of PT/P(VDF-TrFE) pyroelectric sensors based on PET film substrate reached 1.3E7 cmHz 1/2 W m 1 , which is more than one order of magnitude higher than that the sensor fabricated under the same condition on bulk silicon.