Miracle-dz/UniFAR-FTUs huggingface dataset:
Smaller molluscs from a multi-taxon survey (2012–2014) of the shallow marine environments of the tropical Kimberley region, Western Australia

ABSTRACT – The marine environments of Western Australia’s Kimberley region (coast to continental edge) are rich in spatial diversity and vast in scale affording a broad range of habitats for marine fauna and flora. The macromolluscan (here defined as adult molluscs >10 mm) diversity of this large marine realm has been the subject of numerous surveys over the last 50 years. However, the smaller molluscs (here defined as adult molluscs <10 mm ) have, for the most part, been ignored due to challenges in the collection and study of this assemblage. To begin to redress this imbalance a pilot project specifically designed to target smaller molluscs was undertaken over the final three years (2012–2014) of the survey component of the Woodside Collection Project (Kimberley) 2009–2014. Seventy-seven stations (of 179 surveyed) were sampled yielding 1,883 identified specimen lots representing 505 micromollusc species from ≤5 mm adult size class (following Geiger et al. 2007), 43 species from >5–10 mm adult size class, 68 species from >10 mm adult size class, which are likely to be juveniles of macromolluscs, as well as 8 species whose adult size could not be determined. This diversity spans 102 family or superfamily level taxa. Twenty-one of these familial level taxa were new to the survey area (see Bryce et al. 2018 for a full description of the Kimberley survey area) and the number of taxa recorded from a further 18 families was doubled. A considerable degree of species rarity characterised this fauna with almost 52% of all species being singletons. Less than 22% of taxa were recorded from three or more stations. A total of at least 26 new species, not yet formally described, as well as an additional 23 new records, for the survey area and/or Australia were discovered, yielding 49 new species-level records. Two formal taxonomic revisions are undertaken in this paper due to the acquisition of new material and a review of type material. Firstly, Haplocochlias minutissumus Pilsbry, 1921 is synonymised under Liotina parvissima Hedley, 1899 [as Lophocochlias parvissimus (Hedley, 1899)]. Secondly, the synonymy of Condylocuna io (Bernard, 1915) and Condylocuna tricosa Middelfart, 2002, is revoked. Many putative species require further study to determine their taxonomic status; several are probably new to science.
Approximate query processing in a data warehouse using random sampling

Data analysis consumes a large volume of data on a routine basis. With the fast increase in both the volume of the data and the complexity of the analytic tasks, data processing becomes more complicated and expensive. The cost efficiency is a key factor in the design and deployment of data warehouse systems. Approximate query processing is a well-known approach to handle massive data among different methods to make big data processing more efficient, in which a small sample is used to answer the query. For many applications, a small error is justifiable for the saving of resources consumed to answer the query, as well as reducing the latency. We focus on the approximate query processing using random sampling in a data warehouse system, including algorithms to draw samples, methods to maintain sample quality, and effective usages of the sample for approximately answering different classes of queries. First, we study different methods of sampling, focusing on stratified sampling that is optimized for population aggregate query. Next as the query involves, we propose sampling algorithms for group-by aggregate queries. Finally, we introduce the sampling over the pipeline model of queries processing, where multiple queries and tables are involved in order to accomplish complicated tasks. Modern big data analyses routinely involve complex pipelines in which multiple tasks are choreographed to execute queries over their inputs and write the results into their outputs (which, in turn, may be used as inputs for other tasks) in a synchronized dance of gradual data refinement until the final insight is calculated. In a pipeline, approximate results are fed into downstream queries, unlike in a single query. Thus, we see both aggregate computations from sampled input and approximate input. We propose a sampling-based approximate pipeline processing algorithm that uses unbiased estimation and calculates the confidence interval for produced approximate results. The key insight of the algorithm calls for enriching the output of queries with additional information. This enables the algorithm to piggyback on the modular structure of the pipeline without having to perform any
Signal Amplification of a Gravimetric Glucose Biosensor Based on the Concanavalin A–Dextran Affinity Assay

The mass and viscoelastic properties associated with the binding of the Concanavalin A (Con A) – dextran (<inline-formula> <tex-math notation="LaTeX">${M}_{w} = 80$ </tex-math></inline-formula> kDa) affinity assay as a function of glucose concentration, was investigated using a quartz crystal microbalance (QCM). The Con A was immobilized on the gold-coated QCM surface using a thiol linker molecule, resulting in a densely packed layer monitored by cyclic voltammetry. The resulting mass change (<inline-formula> <tex-math notation="LaTeX">${\Delta {m}}$ </tex-math></inline-formula>) from the immobilization of Con A ranged from 0.35 to 0.45 ± 0.09 <inline-formula> <tex-math notation="LaTeX">$\mu \text{g}$ </tex-math></inline-formula> cm<sup>−2</sup> depending on the viscoelastic properties of the lectin layer. The subsequent mass change from the interaction with dextran (0.16 ± 0.04~\mu \text{g} cm<sup>−2</sup>) suggests that the polysaccharide also stacks in a well-packed layer, which dissociates in the presence of glucose (2 – 40 mM) due to competitive binding with the monosaccharide to Con A. A maximum frequency change of 10 ± 2 Hz observed in the presence of 40 mM glucose, suggests that the system has a resolution equivalent to the noise baseline of ± 0.4 mM. Cyclic tests demonstrated that the assay is reversible with time, exhibits a higher sensitivity at lower glucose concentrations, but with a relative signal magnitude that decreases for each cycle. The system was also sensitive for solution or temperature induced viscosity changes that requires compensation by an appropriate algorithm or an unmodified sensor acting as a reference.
Evaluation of ET models to study water requirement of Pomegranate (Punica granatumL.)for Satara district of Maharashtra

The study was carried out to select the best model for the estimation of reference crop evapotranspiration (ETr), develop crop coefficient (Kcp) and estimate pomegranate evapotranspiration (ETp) for Satara district (North latitude 17042’and East longitude 740 01’at 660.00 m amsl) in semi-arid region of Maharashtra. Six most commonly used reference crop evapotranspiration models were selected for estimating the ETr. Out of these six models, P-M model was consideredas the most appropriate as found from the literature and ETr of the other models were compared with ETr of P-M to select the best model from remaining five. The present study is based on analysis on long term (34 years) climatic data and measured shaded area at solar noon hour for 1st to 5th year pomegranate orchards. The values of ETr estimated by Radiation model were found higher followed by modified Penman, Blanney-Criddle, Pan Evaporation, Hargraeves-Samani and Penman-Monteith models. The different models were compared with P-M model on the basis of the least root mean square error (RMSE) and regression analysis. Out of five models, Hargreaves-Samani model gave the least value of root mean square error. The measured shaded area increased from new leaf initiation to maturity of crop ranging from 0.46 to 10.62 m2 and decreased from harvesting periods from 10.62 to 5.44 m2. The crop coefficient values ranged from 0.15 to 1.18 and pomegranate ET ranged from 0.37 to 3.26 mm from new leaf initiation to maturity period. The seasonal values of water to be applied ranged from 1015.0 to 1199.9, 2338.40 to 2808.10, 6430.10 to 7681.40, 9041.30 to 11850.80 and 11766.10 to 13991.10 Lyr−1tr−1 respectively, for 1st to 5th year pomegranate tree.
Examining the Value of a Summer Kindergarten Transitioning Program for Children, Families, and Schools.

The transition to more formal schooling in kindergarten can be difficult for young children and their families. However, preparing children for this transition can produce positive results. This article examines the qualitative results of a fourto six-week transition program for 715 children. Data include parent and school surveys as well as school personnel reports and discussions from two years of the program, involving two separate groups of children. This qualitative data suggested positive affects for children’s social/emotional readiness for school. Children who attended the program became leaders in the classroom and experienced less anxiety. Because the transitions in the start of the school year were easier, teachers had more instructional time with the children early in the school year. Children with special needs received more support, and families became connected with the schools on multiple levels. Parents developed friendships with other families and overall felt less anxious about their child
The complete chloroplast genome of the endangered species Oyama sinensis (Magnoliaceae)

Abstract Oyama sinensis is a large deciduous shrub endemic to Sichuan Province, China. Here, we assembled and characterized the complete chloroplast genome of O. sinensis using Illumina sequencing data. Our assembled chloroplast genome is 160,127 base pairs (bp) in length, containing a large single-copy (LSC) region of 88,206 bp, a small single-copy (SSC) region of 18,783 bp, and two inverted repeat (IR) regions of 26,569 bp. The chloroplast genome possesses total 131 genes, including 86 protein-coding genes, eight rRNA genes, and 37 tRNA genes. In addition, phylogenetic analyses show that O. sinensis is closely related to Yulania liliiflora.
Determinants of Firms’ Efficiency: Do Innovations and Finance Constraints Matter? The Case of European Smes

This paper aims at investigating the relationship between firms’ profit efficiency, access to finance and innovation activities. We enrich our understanding on firms’ performance by adopting the stochastic frontier approach (SFA), which allows us to estimate profit functions and to obtain efficiency scores for a large sample of European firms. We pioneer the use of a novel dataset that merges survey-based data derived from the ECB Survey on access to finance for enterprises (SAFE) with balance sheet information. Our evidence documents that credit constrained firms display an incentive to improve their efficiency in order to increase profitability. Among firms that have embarked in product innovation, those in the industry and high-tech sectors see their effort translated in higher profit efficiency. From a policy perspective, our results could help to better understand the link between innovation, financial constraints and efficiency, which goes beyond the idea that easier access to finance is the panacea to get higher profit efficiency. JEL Classification: D22, D24, L23, O31, C33
Utilización de dos soportes para la inmovilización de la papaína

Papain was immobilized on activated carbon (AC) and on alumina (AL), with the aim of preparing low cost dietarysupplements, using whey as hydrolysed protein source. The quantifi cation of the non-adsorbed enzyme, using Lowry’smethod was used to determine the immobilization rate. The effect of the contact time and the temperature was tested,and 30 min at 250C was considered the best condition for immobilizing papain in both supports. AC showed muchhigher immobilization rates (from 95% to 99%) than AL (from 4% to 13%). The reusability of papain was evaluated bymeasuring the residual activity of the enzyme after it has been used for up to 20 times. The quantifi cation of exposurerate of phenylalanine by second derivative spectrophotometry was used to determine the enzyme activity. In this case, ALshowed better results than AC, since the activity of papain remained unchanged after 15 and 5 times, respectively.
Letter on Alport Syndrome

Alport syndrome registries have been established in several countries. Two of the largest Alport syndrome registries are in USA. Registries have also been established in the Europe, United Kingdom, France, Italy, Australia, China and other countries. A registry is a special database that contains information about individuals with a specific disorder or group of conditions. The collection of data about rare disorders may enable researchers to increase the understanding of disorders, treatments, and accelerate clinical trials in specific treatment. Medical practitioners are encouraged to submit data to treat patients with Alport syndrome.
Marchenko focusing for target-oriented data processing and full-waveform inversion

Measuring wave motion on the surface of an unknown medium can help us infer the physical properties of the medium through which waves propagate without intrusion. In many applications, multiple scattering and high computational cost prevent state-of-the-art data processing techniques from delivering a high-quality image of the medium, especially when it is complex. The recently developed Marchenko focusing technique has potential to overcome these challenges by performing data processing and imaging in a target-oriented fashion. Superior to conventional redatuming methods, Marchenko focusing retrieves multiply-scattered waves from single-sided reflection data with minimal a priori knowledge of medium properties. By iteratively re-emitting a time-reversed and time-windowed wavefield from a single side of the unknown medium, we can focus the wavefield at a prescribed virtual source position inside the medium. The redatumed wavefields in response to the virtual source can be used for imaging free from artefacts related to multiple scattering and interference from the medium surrounding the target. In this thesis, I work on practical implementation and applications of the Marchenko focusing technique. I first review the theory and methodology of the standard Marchenko scheme using 1D and 2D acoustic numerical examples. Then, I investigate its potential application to the hDVS (heterodyne distributed vibration sensing) technology, which records wavefields semi-continuously in space using an optical fibre. The hDVS signal is focused by the Marchenko method in the optical frequency regime, based on an analytical hDVS model. With a hypothesis of strong scattering inside the fibre, the redatumed hDVS signal may contribute to improving strain estimation. Next, I implement Marchenko focusing in a dissipative medium by both numerical modelling and laboratory implementation. To accommodate dissipation which is not accounted for in the standard Marchenko scheme, double-sided reflection data are required to derive an effectual reflection response. Physical focusing of the sound wave is achieved in a 1D variable-diameter tube. Finally, I conduct target-oriented FWI (full-waveform inversion) by using Marchenko focusing to extrapolate the wavefields from the acquisition surface to the vicinity of the target. Based on the representation theorem of the convolution type, a local forward modelling operator couples the target and the surrounding medium acoustically. I invert for the optimal target model, whose seismic response to the Marchenko retrieved areal sources best matches the Marchenko retrieved observed data. Given a sufficiently accurate initial velocity model, local FWI saves computational
Haem iron content of Australian meats and fish

Although meat provides a major source of available iron in the Australian diet, the haem iron content of Australian meats and fish has not been established. Commonly consumed meats and fish purchased from different socioeconomic areas in Perth were analysed for total iron and non-haem iron content in both raw and cooked forms. Haem iron content was calculated by difference. Cooked beef, lamb, pork and chicken contained approximately 60-65% of total iron as haem iron, while sausages, liver and fish contained lower amounts of haem iron (20-40%). Using Apparent Food Consumption data to estimate the relative consumption of various meat sources, the haem iron content of the Australian diet was estimated at 60% of total dietary iron derived from meat, poultry and fish. This figure is higher than 40% as suggested by the Monsen model and continued use of this model in the Australian setting may significantly underestimate the contribution of meat to the available iron content of the diet.
A SUGGESTION FOR A DYNAMIC MULTIFACTOR MODEL (DMFM)

We provide a new way of deriving a number of dynamic unobserved factors from a set of variables. We show how standard principal components may be expressed in state space form and estimated using the Kalman filter. To illustrate our procedure, we perform two exercises. First, we use it to estimate a measure of the current account imbalances among northern and southern euro area countries that developed during the period leading up to the outbreak of the euro area crisis, before looking at adjustment in the post-crisis period. Second, we show how these dynamic factors can improve forecasting of the euro exchange rate.
TURP: Managing Trust for Regulating Privacy in Internet of Things

Internet of Things (IoT) applications, such as smart home or ambient-assisted living systems, promise useful services to end users. Most of these services rely heavily on sharing and aggregating information among devices, many times raising privacy concerns. Contrary to traditional systems, where privacy of each user is managed through well-defined policies, the scale, dynamism, and heterogeneity of the IoT systems make it impossible to specify privacy policies for all possible situations. Alternatively, this article argues that handling of privacy has to be reasoned by the IoT devices, depending on the norms, context, as well as the trust among entities. We present a technique, where an IoT device collects information from others, evaluates the trustworthiness of the information sources to decide the suitability of sharing information with others. We demonstrate the applicability of the technique over an IoT pilot study.
Map of the existing research on business innovation, funding, and policy framework

In the last decade, empirical studies focusing on business-related innovation, funding of innovation activities, and policy (implications) have continued to increase. However, not enough effort has been undertaken yet to investigate existing literature on the subject matter. To fill the gap, the present study seeks to synthesize and map out existing empirical studies on business innovation, financing, and policy framework published between 1990 and February 2019. Bibliographic analysis of relevant articles retrieved from the Web of Science Core Collection was performed using Vosviewer. The bibliometric results show the prominent publication outlets, authoritative scholars and items, dominant higher learning institutions, and countries. Still, selected articles were content analyzed, providing a summary of the publications, the methodology adopted, country and period covered. The papers were classified into different themes based on the study focus, thus pinpointing areas that have received more or less scholarly attention. The identified gaps from both bibliographic and content analysis offer future research opportunities in different aspects touching on business innovation, how its financed and related policy issues.
Novel organ-specific genetic factors for quantitative resistance to late blight in potato

Potato, Solanum tuberosum, is one of the highest consumed food in the world, being the basis of the diet of millions of people. The main limiting and destructive disease of potato is late blight, caused by Phytophtora infestans. Here, we present a multi-environmental analysis of the response to P. infestans using an association panel of 150 accessions of S. tuberosum Group Phureja, evaluated in two localities in Colombia. Disease resistance data were merged with a genotyping matrix of 83,862 SNPs obtained by 2b-restriction site–associated DNA and Genotyping by sequencing approaches into a Genome-wide association study. We are reporting 16 organ-specific QTL conferring resistance to late blight. These QTL explain from 13.7% to 50.9% of the phenotypic variance. Six and ten QTL were detected for resistance response in leaves and stem, respectively. In silico analysis revealed 15 candidate genes for resistance to late blight. Four of them have no functional genome annotation, while eleven candidate genes code for diverse proteins, including one leucine-rich repeat kinase.
Stabilization of Port-Hamiltonian Systems Based on Shifted Passivity via Feedback

In this article, stabilization of port-Hamiltonian (pH) systems is studied in the context of shifted passivity. The pH systems, in general, are not shifted passive with respect to the given Hamiltonian and output. Therefore, we consider enforcing the property of shifted passivity by designing a state feedback, namely, shifted passivity via feedback. This introduced concept brings more insight into the stabilization of pH systems, and a set of partial differential equations is derived such that its solution specifies a state feedback achieving shifted passivity via feedback. Based on the framework of shifted passivity via feedback, a group of sufficient conditions is given such that a proposed proportional control with respect to a designed power shaping output can achieve closed-loop asymptotic stability. Some extended control design is provided to relax the required conditions.
The Impact of Education on Child Abuse Prevention

This research investigates the impact of education on child abuse prevention in Vietnam by using Vietnamese government's reports (2012 – 2019) on child abuse. In order to analyze the impact of education on child abuse prevention, this study focuses on reviewing the previous policies in preventing child abuse, surveying three main determinants of parents, teachers and children and testing the data collected from the survey. The result shows that education plays an important role in improving the ability to take actions against child abuse. Some recommendations to parents, teachers, children and the government are also proposed for encouraging improvements in child abuse prevention education. Keywords: Child Abuse Prevention, Education, Vietnam DOI: 10.7176/EJBM/12-20-09 Publication date: July 31 st 2020