Miracle-dz/UniFAR-FTUs huggingface dataset:
Salmonella importanceand current statusofdetectionand surveillancemethods

doi:10.1111/j.1757-837X.2009. 00032.x Abstract Salmonella, a genus within Enterobacteriaceae, remains as an important human pathogen and it has been reported to be the most common food-borne bacterial disease in the world. Although majority of the Salmonella cases are sporadic, outbreaks occur frequently. Salmonella can be associated with many kinds of foods and the presence of Salmonella in ready-to-eat foods is considered significant regardless of the level of the contamination. Therefore isolation is carried out by enrichment culture of a defined weight or volume of the food (normally 25 g). The traditional and time-consuming detection and isolation of Salmonella spp. from food and feed utilizes a multistep protocol with nonselective pre-enrichment, followed by a selective enrichment step, isolation on selective agar media and a preliminary biochemical and serological confirmation. Several rapid methods have been developed to speed up the detection of Salmonella. This paper aims to give an overview of the occurrence and current status of Salmonella detection and surveillance methods.
CYTOPLASMIC OCCURRENCE OF FODRIN IN THE PRINCIPAL CELL OF THE RENAL COLLECTING TUBULE, THE EPIDERMAL KERATINOCYTE AND THE ADRENAL CHROMAFFIN CELL

Location of fodrin in the renal tubular epithelium, the epidermal keratinocyte, and the adrenal chromaffin cell was examined by immunofluorescence and immunoelectron microscopy of frozen sections. In most of the renal epithelia, fodrin was confined to the plasma membrane and the terminal web, but in the principal cell of the collecting tubule, it was seen diffusely in the cytoplasm except for the Golgi region. In the epidermis in vivo, fodrin was observed in the cell periphery in the spinous layer, but in the cytoplasm in the basal layer. In a transformed keratinocyte cell line (PAM212), the protein was seen only in the cell surface cultured in standard Ca2+, but in low Ca2+, it was found in the cytoplasm. In the adrenal chromaffin cell in vivo, fodrin was observed only in the plasma membrane, but when massive secretion was induced by insulin, it came to be seen in newly-formed vesicles and vacuoles; a secretory granule membrane protein, cytochrome b561, was also localized in the vesicle, but not in the vacuole. The coexistence of the two proteins in the vesicle was confirmed by the positive labeling of cytochrome b561 in subcellular particles adsorbed to polyacrylamide beads coated with anti-fodrin antibody. The present study showed that fodrin is not always a plasma membrane component and that it could be distributed in the cytoplasm when cells are exposed to various stimuli.
Serum MiRNA-122 as a Diagnostic Marker in HCV Related Liver Cirrhosis

Background and study aim: MicroRNAs were evaluated as biomarkers for liver injury in various liver diseases. This study aimed to evaluate the serum miRNA-122 as a potential biomarker for diagnosis and monitoring different stages of disease in chronic hepatitis C patients. Patients and Methods: A case-control study included 45 subjects, divided into three groups: control group, compensated, and decompensated cirrhotic patients groups. All participants were subjected to full history taking, clinical assessment, routine lab investigations, hepatitis B surface antigen, HCV antibodies, HCV-RNA using PCR, and determination of serum expression of miRNA-122 using real-time PCR. Results: The miRNA-122 expression levels among the two groups with liver disease were significantly higher than the control group. Among cirrhotic patients, the expression levels were significantly higher in the compensated subjects compared to the decompensated group. The miRNA-122 levels decreased with the progression of liver disease (from Child-Pugh class A to C) but without significant difference. Patients with ascites had a significantly lower expression of miR-122 compared to those without ascites. Patients with gastrointestinal bleeding and hepatic encephalopathy had statistically insignificant lower expression of miRNA 122 compared to subjects without these complications. As regards all patients groups there were significant positive correlations between miRNA-122 expression and (AST, ALT, albumin, and viral load) and a significant negative correlation as regard INR. Conclusion: Serum miRNA-122 expression levels decreased with the progression of liver disease and at a cut-off value ≤ 2.74 fold change could predict the occurrence of hepatic decompensation. So Serum miRNA-122 seems to be a useful new diagnostic marker in hepatitis C patients with different stages of the disease.
Ocean acidification affects productivity but not the severity of thermal bleaching in some tropical corals

We thank the communities at Upa Upasina, Esa'Ala, and Dobu for their ongoing support of this project. Thanks also go to S. Uthicke, F. Flores, C. Schmidt, and J. Doyle for assistance in running the laboratory experiment, to J. Strahl for comments on the manuscript, and to Qantas and Qantas Link for continued support. This project was funded by the National Environmental Research Program (NERP 5.2) of the Australian Commonwealth Government's Department of the Environment, and AIMS.
Continual Learning on Incremental Simulations for Real-World Robotic Manipulation Tasks

—Current state-of-the-art approaches for transferring deep-learning models trained in simulation either rely on highly realistic simulations or employ randomization techniques to bridge the reality gap. However, such strategies do not scale well for complex robotic tasks; highly-realistic simulations are computationally expensive and hard to implement, while randomization techniques become sample-inefﬁcient as the complexity of the task increases. In this paper, we propose a procedure for training on incremental simulations in a continual learning setup. We analyze whether such setup can help to reduce the training time for complex tasks and improve the sim2real transfer. For the experimental analysis, we develop a simulation platform that can serve as a training environment and as a benchmark for continual and reinforcement learning sim2real approaches.
Theloderma licin McLeod and Ahmad, 2007 (Lissamphibia: Anura: Rhacophoridae), a New Frog Record for Borneo: Theloderma licin McLeod and Ahmad, 2007 (Lissamphibia: Anura: Rhacophoridae), a New Frog Record for Borneo

Theloderma licin was described by McLeod and Ahmad (2007), based on specimens from southern Thailand and Peninsular Malaysia. On 13 May 2013, at 23:20 h, a subadult T. licin (UNIMAS 9420; Figures 1–3) was collected from the base of Gunung Serambu in the Bau region of Kuching Division, Sarawak, East Malaysia (01o25'00" N, 110o13'01" E; Timbalai 1948; Figure 4). This species was first photographed in life, euthanized, and fixed in formalin after the removal of a tissue sample for future molecular work and preserved in 70% ethanol, and accessioned with the collection of UNIMAS, Kota Samarahan, Sarawak, Malaysia. Abbreviations and conventions include: BW = body width (width at midbody); ED = eye diameter (greatest diameter of orbit of eye); HL = head length (distance between snout-tip and angle of jaws); HW = head width (across gape); SVL = snout-vent length; TBL = tibia length; TYD = tympanum diameter (greatest diameter of tympanum); UNIMAS = Universiti Malaysia Sarawak, museum of the Institute of Biodiversity and Environmental Conservation, Kota Samarahan, Sarawak, Malaysia. We allocated this specimen to T. licin following the Theloderma licin McLeod and Ahmad, 2007 (Lissamphibia: Anura: Rhacophoridae), a New Frog Record for Borneo
The impact of instructional leadership on Indonesian elementary teacher efficacy

This study was conducted with two purposes: firstly, to investigate the relationship between instructional leadership and teacher efficacy as perceived by teachers in Indonesian private elementary schools and, secondly, to examine which instructional practices affect teacher efficacy. It employed a quantitative survey design by incorporating Instructional leadership scale, teacher efficacy on group skill scale, and teacher self-efficacy scale for data collection. The sample included 339 teachers from 20 private elementary schools in ten provinces in Indonesia. Descriptive, correlation, and structural equation modeling (SEM) analyses were used to analyze the data. Findings showed that instructional leadership practices, as perceived by teachers, were positively related to teacher self-efficacy as well as teacher efficacy on group skills. Moreover, in the Indonesian private school context, instructional leadership practices, especially on the component of encouraging school climate, tended to be more influential on teacher efficacy group skills, while the components of establishing goals and ensuring the teaching and learning process determined teacher self-efficacy.
Context Based Spell Checking using Document Semantic

: Context Based errors are those errors which are wrongly used in sentences, though it seems valid. These errors would turn sentences into meaningless, which in turned to invalid documents. These words would not rectify in context or would do an automatic spelling checking. This paper explores the idea of Document Semantic called Latent Semantic analysis which can correct the context from this minor difference. This paper also reflects the importance of using this terminology.
A Global Quasigeostrophic Diagnosis of Extratropical Extreme Precipitation

This paper presents a global picture of the dynamic processes and synoptic characteristics of extratropical extreme precipitation events (EPEs), defined as annual maximum daily precipitation averaged over 7.5° × 7.5° regional boxes. Based on the quasigeostrophic omega equation, extreme precipitation can be decomposed into components forced by large-scale adiabatic disturbances and amplified by diabatic heating feedback. The spatial distribution of the diabatic feedback parameter is largely controlled by atmospheric precipitable water and captured by a simple model. Most spatial heterogeneities of EPEs in the middle and high latitudes are due to the spatial variations of large-scale adiabatic forcing. The adiabatic component includes the processes of vorticity advection, in which the synoptic vorticity advection by background wind dominates; temperature advection, in which the total meridional temperature advection by synoptic wind dominates; and boundary forcing. The synoptic patterns of EPEs in all extratropical regions can be classified into six clusters using the self-organizing map method: two clusters in low latitudes and four clusters in middle and high latitudes. Synoptic disturbances are characterized by strong pressure anomalies throughout the troposphere over the coastal regions and oceans and feature upper-level shortwave disturbances and a large westward tilt with height over land. Synoptic configurations favor moisture transport from ocean to land over coastal regions.
Cyber Security Concerns in Social Networking Service

Today’s world is unimaginable without online social networks. Nowadays, millions of people connect with their friends and families by sharing their personal information with the help of different forms of social media. Sometimes, individuals face different types of issues while maintaining the multimedia contents like, audios, videos, photos because it is difficult to maintain the security and privacy of these multimedia contents uploaded on a daily basis. In fact, sometimes personal or sensitive information could get viral if that leaks out even unintentionally. Any leaked out content can be shared and made a topic of popular talk all over the world within few seconds with the help of the social networking sites. In the setting of Internet of Things (IoT) that would connect millions of devices, such contents could be shared from anywhere anytime. Considering such a setting, in this work, we investigate the key security and privacy concerns faced by individuals who use different social networking sites differently for different reasons. We also discuss the current state-of-the-art defense mechanisms that can bring somewhat long-term solutions to tackling these threats.
Structural Optimization of Ship Lock Heads during Construction Period considering Concrete Creep

Traditional structural optimization is mainly based on the assumption that the materials are elastic, which cannot represent real stress fields in structures. In this study, the genetic algorithm, big bang-big crunch algorithm, and hybrid big bang-big crunch algorithm were employed to optimize the design factors of ship lock heads during concrete construction. The optimization goal was to determine the minimum volume of concrete. The factors considered included the hydration heat, the early-stage creep, and the transient deformation under external loads. In the finite element analysis, three types of boundary conditions were considered. The whole construction process was simulated, and the maximum tensile and compressive stresses, the stability, and the overturning of the lock head were examined. Based on the finite element analysis, to reduce the consumption of memory, a set of implicit recursive equations were used to calculate the thermal creep stress. Thirty-four design variables were distinguished for optimization. A case study on the optimization of a ship lock head was used to demonstrate the optimization process. The optimization results showed that the hybrid big bang-big crunch algorithm was more effective, and some conclusions were derived.
Comparison of Machine Learning Techniques for the Automatic Recognition of Soundscapes

Summary Rather than recognising single environmental sound sources, research on soundscape recognition aims at identifying general unstructured auditory scenes composed of multiple simultaneous sound sources. Nowadays, soundscape recognition has multiple applications, such as: i) context-awareness for mobile robots and portable devices, so as to provide information about the surrounding acoustic environment, enabling the automatic reaction of the device without human intervention; ii) background noise identification for speech recognition systems, so as to improve the robustness of such systems by facilitating their adaptability to any indoor or outdoor environment; iii) support tool in urban planning and noise annoyance assessment. In this paper, pattern recognition techniques specially designed to automatically recognise soundscapes are implemented. Specifically, the study focuses on finding the most appropriated learning paradigm. A set of machine learning techniques, commonly employed in similar sound recognition tasks, are considered: decision trees, K-Nearest Neighbours algorithm, Gaussian Mixture Models and Neural Networks. Extensive experiments are carried out so as to empirically test and compare the performance attained by the different learning techniques. The experiments are performed employing an audio data corpus composed of 15 different soundscenes, such as park , traffic street , restaurant or stadium .
Modelling of beer membrane filtration

The scope of this study is the modeling of beer membrane filtration, focusing on fouling mechanisms. Standardized lager beer was produced for the crossflow microfiltration investigations. Pall Membralox T1–70 tubular ceramic membrane with 0.5 μm pore size was used for filtrations. 2p full factorial experimental design was applied, the three factors were the following: silica gel concentration (SGC): 0, 40, 80 g hL–1; transmembrane pressure (TMP): 0.4, 0.8, and 1.2 bar, and retentate flow rate (Q): 50, 125, and 200 L h–1. Steady-state fouling layer resistance (Rf ss) was considered as the response. Analytical parameters of the rough beer and the dynamic viscosity values of the permeate samples were measured. The hydrodynamic parameters of the filtrations were determined. The parameters of the objective function were estimated, and the effect sizes were calculated. The global minimum of the objective function was found. The effect sizes of the significant parameters were the following: Q: –0.48; TMP: 0.81. The optimal values of the factors amounted to, respectively, TMP = 0.4 bar, Q = 200 L h–1. The predicted Rf ss under the above condition was 1.925677776404 × 1012 m–1. The detailed method in this study can be implemented by membrane researchers and breweries.
Deep Learning for Face Veriﬁcation

Face recognition has been studied extensively over the past decade. But much of that work has been done with database created by research labs under controlled conditions. Recently large scale datasets collected from the internet are used as more challenging benchmarks for face recognition. As datasets increase in difﬁculty, more complicated techniques are required to achieve high accuracy for face recognition. Generally these more complicated techniques share common attributes: they use increasingly complicated hand-crafted features, complicated kernel methods that make use of many features, make use of outside data, or some combination of the above. For this project, we will apply a technique called Deep Learning on face recognition problem.
Does Job Satisfaction Mediate the Effect of Perceived Organization Support to Employee Commitment?

Employees’ commitment is an important issue in organization, especially in business, since employees who commit to the organization show better performance, lower in intention to leave and increase productivity. There are some model explaining the process of organizational commitment (OC): A Dual Process Model and Relational Cohesion Model, which explain the involvement of job satisfaction (JS) and perceived organizational support (POS) in determining employees’ commitment. This study tries to investigate those kind of models and examining the mediation effect of JS toward POSEmployees’ commitment, since many studies found different research findings. By doing survey toward 107 employees of Gas Station in Blitar region with simple random sampling technique, only 89 returned the questionnaires. The collected data then analysed with descriptive and path analysis technique. The results showed that the study support the dual process model of OC and relational cohesion model. In addition, job satisfaction is fully mediate the effect of POS to employees’ commitment. Furthermore, this study found that the mediation effect of JS in POS-Employee commitment relationship should not to be omitted, because it includes as indirect-only mediation based on Zhao et al. Therefore, it is important for the organization to maintain job satisfaction condition of their employees and also organizational support programs, because those factors found to be direct or indirect influenced employees’ commitment to the organization. Keywords—dual process model of OC, relational cohesion model, POS, job satisfaction, employee commitment, full mediation, indirect-only mediation, Blitar
Exploring the relationship between digital social responsibility, corporate image and brand loyalty in Thailand

Since firms have continuously transformed initiatives of social responsibility into digital platforms, Digital Social Responsibility (DSR) has been realized as one of the important strategic undertakes for businesses. The purpose of this study is to investigate the impact of DSR on corporate image and brand loyalty. The results showed that perceived DSR has significantly positively influence on corporate image and brand loyalty. Moreover, a mediating effect of corporate image on the relationship between perceived DSR and brand loyalty was found
The role of human replicative DNA polymerases in DNA repair and replication

The maintenance of integrity of the genome is essential for a cell. DNA repair and faithful DNA replication ensure the stability of the genome. DNA polymerases (pols) are the enzymes that synthesise DNA, a process important both in DNA replication and repair. In DNA replication DNA polymerases duplicate the genome during S phase prior to cell division. Pols α, δ, and e are implicated in chromosomal DNA replication, but their exact function in replication is not yet completely clear. The mechanisms of different repair pathways and proteins involved are not yet completely characterised either. The deeper understanding of DNA repair and replication mechanisms is crucial for our understanding on the function of the cell. The mechanism of repair of DNA double strand breaks (DSBs) by non-homologous end joining (NHEJ) was studied with an in vitro assay. DNA polymerase activity was found to be involved in NHEJ and important in stabilising DNA ends. Antibodies against pol α, but not pol β or e, decreased NHEJ significantly, which indicates the involvement of pol α in NHEJ. In addition, the removal of proliferating cell nuclear antigen (PCNA) slightly decreased NHEJ activity. The division of labour between pols α, δ, and e during DNA replication was studied. Results from UV-crosslinking, chromatin association, replication in isolated nuclei, and immunoelectron microscopy (IEM) studies showed that there are temporal differences between the activities and localisations of the pols during S phase. Pol α was active throughout S phase, pol e was more active at early S phase, whereas the activity of pol δ increased as S phase advanced. These results suggest that pols δ and e function independently during DNA replication. Pol e could be crosslinked to nascent RNA, and this labelling was not linked to DNA replication, but rather to transcription. Immunoprecipitation studies indicated that pol e, but not pols α and δ, associated with RNA polymerase II (RNA pol II). Only the hyperphosphorylated, transcriptionally active RNA pol II was found to associate with pol e. A large proportion of pol e and RNA pol II colocalised in cells as determined with immunoelectron microscopy. The interaction between pol e and RNA pol II suggests that they are involved in a global regulation of transcription and DNA replication.
3617P HYONA-13-26 cg

In two experiments, during reading, 33 ms. flickers occurred to the left or the right of the point of gaze at random intervals. We documented a decrease in saccadic frequency following the onset of this taskirrelevant flicker. This effect was referred to as saccadic inhibition. It was found that the saccadic inhibition effect differed depending on whether the flickers were congruent or incongruent with the direction of the next saccade. Specifically, a large flicker produced a stronger inhibition in the congruent than the incongruent condition, whereas the reverse was true for a small flicker. The implications of these findings for models of saccadic control in reading are discussed.
Raman Spectroscopic Study of Valuable Idols from UNESCO World Heritage Sites in Kathmandu, Nepal

As an important step towards the conservation of valuable world heritage assets in Kathmandu, we performed Raman spectral studies on several valuable idols located in UNESCO World Heritage Sites for internal identification purposes. A spectrum of a stone idol in the Mohankali Chowk has a major band at 1093.5 cm -1 which may be identified as a C-O stretching vibration within the carbonate groups of CaCO3. The Raman spectra of a bull situated in the same Chowk has two major bands at the wavenumbers of 1812.7 and 3552.4 cm -1 which are assigned as combined vibrational modes of CO3 and hydroxyl stretching band, respectively. Similarly, the spectrum of a Shivalinga located at Pashupati Bankali has a major band at 467.7 cm -1 . This band is formed by the movement of the oxygen atom in Si-O-Si, which is a symmetric stretching mode indicating the presence of crystalline silica (SiO2) in the Shivalinga. The Raman spectrum of Lord Changunarayan in Garuda located in the Changunarayan temple premises has a strong band at the wavenumber 462.6 cm -1 , denoting the presence of quartz (SiO2).