Miracle-dz/UniFAR-FTUs huggingface dataset:
A Cross-Docking Framework for Supply Chain Logistics in Production Scheduling

Synchronization of all partners along a supply chain logistics system is one of the challenges in most of the business operations. In this paper, we present a brief literature review of cross-docking approaches for supply chain logistics problem. On describing the problem, we formulate the supply chain logistics problem as a truck sequencing problem to minimize the discrepancies of operation times of inbound and outbound trucks. The problem is decomposed in two sub-problems as inbound and outbound parts as a solution strategy. Journal of Institute of Science and Technology, 2014, 19(1): 39-44
Eight weeks of high intensity interval training improve the expression of interleukin-17 and interleukin-18 genes in the heart tissue of cadmium-poisoned rats

Introduction: lL-17 and IL-18 are pro-inflammatory cytokines. The aim of present study is to evaluate the effect of endurance training on IL-17 and IL-18 in heart tissue of rats which have been poisoned by cadmium. Material & Methods: Twenty Wistar rats were randomly divided into four groups: 1) control, 2) sham, 3) cadmium and 4) high intensity interval training (HIIT training) with cadmium. HIIT training was performed 8 weeks and 3 days a week (80 to 110% of their VO2max). Cadmium groups received 2mg/kg cadmium intraperitoneally everyday. At the end of protocol, the rats were sacrificed and their heart tissues were prepared to measure gene expression of IL-17 and IL-18. The data was analyzed by independent sample t-test and one-way ANOVA (P≥ 0.05). Results: The HIIT training led to significantly reducing IL-17 and IL-18 gene expression in heart issue of rats (P= 0.001). Conclusion: The 8 weeks of HIIT training will improve the levels of pro-inflammatory cytokines in rats which have been poisoned by cadmium.
Helium ion microscope: A new tool for nanoscale microscopy and metrology

ALIS Corporation has developed a new helium ion microscope which has many advantages over both traditional scanning electron microscopes (SEMs) and focused ion beams (FIBs). This new technology is expected to produce an ultimate focused spot size of 0.25nm. This high resolution is attributed to the high source brightness (B>4×109A∕cm2sr), low energy spread (ΔE∕E∼2×10−5), and small diffraction effects (λ∼80fm). The interaction of helium ions with matter offers several valuable contrast mechanisms and a surface interaction volume which is much smaller than a SEM or conventional FIB.
Performance measurement and management: a system of systems perspective

Despite changes in tools and practices, the conceptual foundations of performance measurement and management (PMM) are still predominantly rooted in control systems research. While PMM approaches have delivered significant organisational benefits, including creating alignment, supporting monitoring and control, and enabling prediction and optimisation of resource allocation, this paper argues that this paradigm is not capable of responding to increasingly complex and highly uncertain organisational environments. Drawing on ideas emerging in the literature on systems engineering and complex systems, we propose a novel perspective that considers PMM from a ‘system of systems’ (SoS) point of view, whose essential characteristics are autonomy, belonging, connectivity, diversity and emergence. After identifying the assumptions underpinning existing PMM approaches, we outline a SoS-based paradigm to PMM and conclude by articulating the main implications for the practice of PMM and setting out a research agenda.
STUDENT REVISING FOR A TEST USING SMS

In this paper an experiment involving mLearning using Short Message Service (SMS) is described. The experiment was designed after a study of the readiness of the participants in terms of mobile device ownership, mobile technology preferences, and learning styles. Qualitative data was gathered and analysed using an activity theory framework. The SMS scenario developed for the experiment is contentspecific and was provided as a commercial service in ‘pull’ mode. The study allowed to conclude that mobility support, information density, and information relevance were the factors which contribute most to creating mLearning value while cost was a major detractor.
The curriculum question in doctoral education

The landscape of doctoral education has changed immensely during the last decades. Different transnational policies, different publics, different purposes and different academic careers all contribute to the need for a new understanding of this underresearched field. Our focus is on explicit curriculum analysis to undertake intentional and meaningful change, especially in terms of the processes and outcomes of doctoral education. We draw on research on doctoral education, as well as the emerging literature on early career researchers (ECRs) and on professional learning, and consider how the concept of curriculum can help us think differently about doctoral education, particularly in relation to processes and outcomes. Finally, we suggest a research agenda for developing the curricula of doctoral education.
Alien invasion in Wallace's Dreamponds: records of the hybridogenic "flowerhorn" cichlid in Lake Matano, with an annotated checklist of fish species introduced to the Malili Lakes system in Sulawesi

Invasive fish species can have major impacts on freshwater faunas, particularly in isolated systems harbouring adaptive animal radiations. Here, we report on the occurrence and recent rapid expansion of the hybridogenic “flowerhorn” cichlid in ancient Lake Matano, the hydrological head of the Malili Lakes system in Central Sulawesi, Indonesia. We show that flowerhorns rapidly dispersed along the lake’s shoreline, inhabited most of the southern inshore habitats in 2010, and were present all around the lake in mid-2012. In addition, we present stomach content and observational data supporting the hypothesis that this cichlid threatens the local fauna through both predation and competition. We discuss 13 additional alien fish species recorded in the Malili Lakes drainage since 2000, including the recent, first record of the invasive sailfin catfish Pterygoplichthys pardalis for Sulawesi, highlighting the multitude of artificial introductions of foreign fish species into these unique and highly isolated freshwater systems. We conclude that alien fish species pose both serious and diverse threats to the fauna of the Malili Lakes system – an ecosystem of high socio-economic importance and an exceptional natural laboratory for study of evolution, referred to as “Wallace’s Dreamponds”. Finally, we provide recommendations for minimizing future alien species introductions.
Symbolism and the Adoption of Fuel-Cell Vehicles

Since car buyers have limited practical experience with FCVs, direct study of FCV adoption is not feasible. However, consumer behavior toward other types of advanced-technology vehicles may offer clues about how the market for FCVs will develop. Research of hybrid-electric vehicles (HEVs) indicates that consumers adopt these vehicles partly because of the vehicles' symbolism. Any vehicle can serve as a symbol; it can represent larger ideas, meanings that frequently relate to the identity of the vehicle’s owner. This qualitative research study examines early buyers of HEVs to understand the symbolic meanings they perceived in their vehicles and the role symbolism played in their vehicle purchases. Findings from these buyers are then prospectively applied to the future market for FCVs. The study includes four specific recommendations to increase the possibility that FCV buyers can access and communicate relevant symbolic meanings with their vehicles.
Incentives to Work or Incentives to Quit?

Employees often learn about their ability while working, and the resulting beliefs interact with pay incentives to shape employment outcomes. This paper investigates the issue within a model that incorporates learning about ability, effort, turnover, and variation in pay incentives. The empirical analysis is based on unique data from a US call center. The results show that turnover, due to selective attrition and experimentation, is a major channel through which incentives affect performance, profits, and individual welfare. Simulating the estimated model reveals that neglecting the impact of beliefs and incentives on separation decisions makes estimates of the effect of incentives on effort twice as big as they should be.
A novel method of enhancing grounded theory memos with voice recording

In this article the authors present the recent discovery of a novel method of supplementing written grounded theory memos with voice recording, the combination of which may provide significant analytical advantages over solely the traditional written method. Memo writing is an essential component of a grounded theory study, however it is often difficult to capture thoughts, feelings, and emerging theorising using written methods after a research interview. I found that many of these potentially valuable ideas were lost or misunderstood upon reading my subsequent written memo, and the feelings and context which influenced the emerging theory were not always clear. I turned to voice recording to enhance my grounded theory memos and soon discovered substantial additional benefits upon listening back. This novel method, the cognitively different ways in which human brains process verbal and written information, and the ultimate benefits I have enjoyed by combining writing and voice recording memos are presented. Keywords: Grounded Theory, Memos, Voice Recording, Memory, Cognition, Research Context, Interpretivism In this article the authors present research insights on extending the use of voice recording grounded theory based interviews, to supplement written memos with voice recording, and the additional layers of understanding and reflection that this method can provide. Grounded theory (GT; Glaser & Strauss, 1967) provides a framework for structuring
Message Spreading Model over Online Social Network with Multiple Channels and Multiple Groups

Understanding the characteristics of message spreading over online social network is important for estimating the influence of message initiated from arbitrary users. Past researches present some models, such as independent cascade model and linear threshold model, to explain the message spreading. Recent studies show many variations of previous models focused on different issues. In this paper, we focus on multiple channels that are used for communicating with each other, and multiple groups that react differently to the message coming from each channel, in order to observe a more detailed aspect of message spreading, such as spreading speed or chances to accept the message. Considering these properties, we propose a new message spreading model that has multiple member groups and multiple channels. We examine the impact of channel and group preference in message spreading by conducting extensive simulations of our suggested model. Through the simulations, we observed that considering multiple channels and multiple groups explains the speed and the coverage of message spreading in more detail.
Response‐dependent two‐phase sampling designs for biomarker studies

Two‐phase sampling designs are developed and investigated for use in the context of a rheumatology study where interest lies in the association between a biomarker with an expensive assay and disease progression. We derive optimal phase‐II stratum‐specific sampling probabilities for analyses from parametric maximum likelihood (ML), mean score (MS), inverse probability weighted (IPW) and augmented inverse probability weighted estimating equations (AIPW). The easy‐to‐implement optimally efficient design for the MS estimator is found to be asymptotically optimal for the IPW and AIPW estimators we consider, and is shown to result in efficiency gains over balanced and simple random sampling even when analyses are likelihood‐based. We further demonstrate the robustness of this optimal design and show that it results in very efficient estimation even when the model or parameters used in its derivation are misspecified. The Canadian Journal of Statistics 42: 268–284; 2014 © 2014 Statistical Society of Canada
High Efficient Algorithm for Colored Image Enhancement Based Upon Dynamic Histogram Stretching

— Contrast enhancement is an effective approach for image processing and pattern recognition under conditions of improper illumination. Generally for improving contrast in digital images, Histogram Equalization, HE, based techniques are the methods that commonly used, but they give unnatural artifacts like intensity saturation and noise amplification. In addition, the complexity of these techniques calculation, make them difficult to use in hardware implementation. In this paper, we propose a new mathematical model for improving the contrast of colored images while reducing the complexity of calculation. Our strategy is based upon dynamic histogram stretching. The algorithm first partition the image histogram, for each color channel, into segments, then different transformation function was applied on each partition, according to its contrast value. This mapping operation is based upon the Min-Max linear contrast stretch function. The technique does not require the calculation of the histogram of each partition as the Dynamic Histogram Equalization, DHE, and the Adaptive Histogram Equalization, AHE, methods. Also, there is no need to apply a smoothing filter as the resultant image has less impulsive noise. The performance of our technique is compared against the HE, the DHE, and the AHE methods. The performance is evaluated with metrics such as Entropy, and Contrast. Experimental results demonstrate that the proposed technique provides better contrast image than the conventional enhancement methods in terms of visual looks and image details, and yet it allows low cost hardware realization.
Prospective study of icotinib concurrent IMRT in patients with inoperable stage non III -small cell lung cancer

To evaluate the safety profile and efficacy of icotinib concurrent with intensity modulated conformal radiotherapy (IMRT) in previously untreated patients with inoperable Stage non III -small cell lung cancer (NSCLC). 90 patients were enrolled in this prospective study. All patients were assessed for toxicity, and 78 patients were available for efficacy. 24 patients were treated with icotinib concurrent IMRT with curative intent. The primary endpoints were overall survival (OS). The secondary endpoints included progression free survival (PFS), local control rate and acute toxicity. Loss of appetite, leucopenia, rash, pulmonary toxicities were acceptable and manageable. Severe adverse events included pain (Grade 4, 12.5%) and leucopenia (Grade 4, 4.17%), rash (Grade 4, 4.17%). With a median follow-up of 321 days, a local control rate of 95.8% was achieved for thoracic tumor. Overall survival and median PFS were 377 days, 289 days. The current experimental data suggested that icotinib concomitant IMRT was effective and safe for patients with advanced NSCLC as first-line regimen.
A study and Performance Comparison of MapReduce and Apache Spark on Twitter Data on Hadoop Cluster

We explore Apache Spark, the newest tool to analyze big data, which lets programmers perform inmemory computation on large data sets in a fault tolerant manner. MapReduce is a high-performance distributed BigData programming framework which is highly preferred by most big data analysts and is out there for a long time with a very good documentation. The purpose of this project was to compare the scalability of opensource distributed data management systems like Apache Hadoop for small and medium data sets and to compare it’s performance against the Apache Spark, which is a scalable distributed in-memory data processing engine. To do this comparison some experiments were executed on data sets of size ranging from 5GB to 43GB, on both single machine and on a Hadoop cluster. The results show that the cluster outperforms the computation of a single machine by a huge range. Apache Spark outperforms MapReduce by a dramatic margin, and as the data grows Spark becomes more reliable and fault tolerant. We also got an interesting result that, with the increase of the number of blocks on the Hadoop Distributed File System, also increases the run-time of both the MapReduce and Spark programs and even in this case, Spark performs far more better than MapReduce. This demonstrates Spark as a possible replacement of MapReduce in the near future.
AN OVERVIEW OF POLYAMIDOAMINE DENDRIMERS: STRUCTURE, PHYSICAL PROPERTIES, AND BIOMEDICAL APPLICATIONS

Polyamidoamine (PAMAM) dendrimers are the primary complete dendrimer family to be orchestrated, described and marketed. Dendrimers are hyper branched, monodispersed macromolecules with multivalent useful end bunches. Dendrimers have been investigated as nanocarrier for many drugs like anticancer, antiviral, antimalarial, antiprotozoal, anti-tubercular drugs. In spite of the fact that a number of various sorts of dendrimers containing distinctive center atoms, fanning monomers and surface practical gatherings, so they have been planned till date for medication conveyance applications, yet PAMAM dendrimers have been the most investigated dendrimers in such manner. In this review, we have focuses on relative information on PAMAM dendrimers especially significant to their properties, synthesis, lethality, biomedical applications and drug delivery characteristics.
A CONCEPTUAL TOOL FOR ASSESSING CLIENT PERFORMANCE IN THE CONSTRUCTION PROJECT COALITION

Due to the significant impact of client performance on overall project performance and the interdependence of participant%5C%27s performance in the construction project coalition %28i.e. clients%2C designers and constructors%29%2C there is a need to establish client performance measures. Based on data collected from in-depth interviews with nineteen UK architects and nine UK contractors%2C a generic tool for the on-going formal assessment of client performance is presented. It was found that this approach to performance assessment %28i.e. from the view point of other%2C non-client coalition participants%29 should lead to improved project relationships. Data analysis showed that in addition to %5C%27harder%5C%27 measures such as understanding of project requirements and finance%2C other%2C %5C%27softer%5C%27 measures of client performance %28e.g. attitude%29 were worthy of consideration since they determine the quality of participant relationships. It is recommended that the tool be used to promote more effective client performance and thus enhance coalition relationships%2C enabling continuous improvement. The ultimate aim is to develop similar tools for the assessment of all coalition participants based on a culture of openness and trust. Abstract in Bahasa Indonesia : assessment+tool%2C+coalition+participants%2C+client+performance%2C+perceptions%2C+performance+measures%2C+satisfaction.
Visual Analytics of Gaze Data with Standard Multimedia Players

With the increasing number of studies, where participants' eye movements are tracked while watching videos, the volume of gaze data records is growing tremendously. Unfortunately, in most cases, such data are collected in separate files in custom-made or proprietary data formats. These data are difficult to access even for experts and effectively inaccessible for non-experts. Normally expensive or custom-made software is necessary for their analysis. We address this problem by using existing multimedia container formats for distributing and archiving eye-tracking and gaze data bundled with the stimuli data. We define an exchange format that can be interpreted by standard multimedia players and can be streamed via the Internet. We convert several gaze data sets into our format, demonstrating the feasibility of our approach and allowing to visualize these data with standard multimedia players. We also introduce two VLC player add-ons, allowing for further visual analytics. We discuss the benefit of gaze data in a multimedia container and explain possible visual analytics approaches based on our implementations, converted datasets, and first user interviews.
A one-way wave equation for modelling seismic waveform variations due to elastic heterogeneity

The application of a new one-way narrow-angle elastic wave equation to isotropic heterogeneous media is described. This narrow-angle finite-difference propagator should provide an efficient and accurate method of simulating primary body wave(s) passing through smoothly varying heterogeneous media. Although computationally slower than ray theory, the narrow-angle propagator can model frequency-dependent forward diffraction and scattering as well as the averaging effects due to smooth variations in medium parameters that vary on the sub-Fresnel zone level. Example waveforms are presented for the propagation of body waves in deterministic as well as stochastic heterogeneous 3-D Earth models. Extrapolation within deterministic media will highlight various familiar wave-diffraction and pulse-distortion effects associated with large-scale inhomogeneities, such as geometrical spreading, wavefront folding and creeping-wave diffraction by a compact object. Simulation within stochastic media will examine the effects of varying the correlation lengths of random heterogeneities on wave propagation. In particular, wave phenomena such as frequency-dependent forward scattering, the appearance of random caustics and the generation of seismic coda will be shown.
Anaerobic membrane bioreactor for high-strength wastewater treatment: batch and continuous operation comparison

The anaerobic membrane bioreactor (AnMBR) is a recent development in high-rate anaerobic bioreactors. This study assessed the treatment of high-strength wastewater by an AnMBR using batch and continuous feeding operation. The results showed that the AnMBR could establish a biomass concentration of 6–8 g/L in approximately 20 days due to retention of micro-organisms by the membrane, resulting in 86% chemical oxygen demand (COD) removal efficiency in the treatment of high-strength brewery wastewater. Batch operation was proven to be effective for an organic loading rate (OLR) up to 2 gCOD/L/day and was beneficial to the membrane filtration. However, the treatment capacity of the AnMBR with batch feeding was limited by the high instantaneous OLR during the feeding period. Compared to batch operation, continuous feeding can achieve improved stability and better effluent quality, but prolonged continuous permeation may make the membrane more susceptible to fouling. Although a critical flux of 22 L/m2/h was determined for the membrane filtration in the AnMBR tested, a decrease in the membrane permeability was still observed in the long-term filtration at a flux of approximately 10 L/m2/h.
Population ageing, income growth and CO2 emission: Empirical evidence from high income OECD countries

Purpose - – The purpose of this paper is to attempts to explore the relationship between population ageing, income growth and CO Design/methodology/approach - – Following Zagheni (2011) and using a relatively new cointegration technique and fully modified ordinary least square in a panel data over 1980-2009 the empirical results find evidence of inverted-U shaped EKC in these OECD countries. Findings - – The empirical results demonstrate that per capita CO Originality/value - – This is one of the first studies that examine the effect of population ageing on CO