Miracle-dz/UniFAR-FTUs huggingface dataset:
Strategy for Sustained Growth with Enhancing Facility Experts’ Knowledge-Sharing Intention with Purchasing Decision-Makers

This research focuses on the knowledge-sharing intention of an expert with the purchasing decision-maker in a company as a marketing point for business-to-business transactions, where a company’s facilities expert connects the company’s purchasing decision-maker with the supplier. By providing information about the supplier’s products and companies to this decision-maker, the expert plays an important role in the purchasing decision-maker’s knowledge on suppliers. Therefore, this study aims to improve expert word-of-mouth (WOM) intentions and examines the strategies that influence them. Statistical verification is employed by considering the answers of 103 engineering experts, and a hierarchical multiple-regression analysis is used to test this study’s hypotheses. As a strategy for influencing expert WOM intentions, both the supplier’s and purchasing decision-maker’s expertise and the tie strength with the supplier are examined; the tie strength with the purchasing decision-maker is considered as the moderating variable. Three of the four hypotheses are supported. This paper gives advices to the facility suppliers who want sustained growth. they should not only appeal their expertise to the facility experts who visit their exhibition booth, but also specify who the visitors are and manage the relations with them personally with a long term perspective.
Study on the single-event upset sensitivity of 65-nm CMOS sequential logic circuit

This study uses a pulsed laser to investigate the sensitivity of a sequential logic circuit to a Single-Event-Upset (SEU) under diﬀerent supply voltages, clock frequencies, and circuit architectures. The experi- mented sequential logic circuit is a D ﬂip-ﬂop chainmanufactured in 65-nm bulk CMOS technology. The results indicate that as the voltage decreases, the SEU sensibility of the circuit increases, and in particular at low voltage ranges, it increases signiﬁcantly. Additionally, the eﬀect of clock fre- quency on the sensitivity of the sequential logic circuit is mainly related to the propagation of Single-Event-Transients (SETs) that are generated in combinational logic circuits. It was also found that, the Set-architecture circuit is more sensitive to SEUs during the data “0” test, while the Reset- architecture circuit is more sensitive to SEUs during the data “1” test. In addition, the failure mechanisms of SEU induced by Set-structure and Reset-structure are revealed using SPICE simulations.
Biological Aspects of Date Palm Dust Mite, Oligonychus afrasiaticus (McGregor) (Acari: Tetranychidae) on Fronds of Three Date Palm Cultivars

For several years the palm dust mite, Oligonychus afrasiaticus (McGregor) has been an economically important pest of date palm. Biology and life table parameters of the date dust mite, O. afrasiaticus were studied on fronds of three date palm cultivars: Bartamoda (dry), Sewi (semi dry) and Zaghlol (soft) at laboratory conditions of 30 and 35°C & 60 ±5% R.H. and 16L. The results revealed that, the longest and shortest oviposition period and total longevity of O. afrasiaticus females were recorded at 30°C (22.5 & 26.90 days) on Sewi and 35°C (6.9 & 10.0 days) on Zaghlol variety, respectively. The fecundity increased as temperature decreased from 30.5, 37.45 and 25.5 eggs at 30°C to 27.8, 29.15 and 15.94 eggs at 35°C on Bartamoda, Sewi and Zaghlol varieties, respectively. The lowest and highest values of the intrinsic rate of increase (rm) were 0.107 and 0.229 individuals/female/day that obtained at 30 and 35°C on Zaghlol and Sewi varieties, respectively. The mean generation time (T) significantly decreased from 23.6, 22.4 and 22.76 days to 13.08, 11.90 and 12.26 days with increasing temperature from 30°C to 35°C, on Bartamoda, Sewi and Zaghlol varieties, respectively. The results of this study indicate that O. afrasiaticus could increase rapidly when Sewi and Bartamoda fronds serve as a food source more than Zaghlol date palm variety.
Flow and heat transfer characteristics of blooming jets impinging upon wall using DNS

A single impinging jet exhibits high heat transfer performance around an impingement point on a wall. However, the heat transfer performance deteriorates as it moves away from the impingement point. Consequently, multiple impinging jets are commonly introduced to overcome the shortcomings of a single jet: inhomogeneous heat distribution on the wall and a narrow heating area. However, inhomogeneous heat transfers still occur. Therefore, a new jet control is required to improve the uniformity of heat transfer. Meanwhile, blooming jets are produced by appropriate combinations of axial and helical excitations at the nozzle exit. Using appropriately selected excitations, a jet can split into two separate jets (bifurcating jet) or spread into a shower of toroidal vortex rings. Blooming jets exhibit good performances of mixing and diffusion, suggesting possible applications in flow control. However, studies regarding the heat transfer performance of blooming jets are non-existent. In this study, we conducted direct numerical simulations of blooming jets impinging upon a wall and investigated their flow characteristics and heat transfer performances. As control parameters, the impingement distance (the distance from the nozzle to the wall) and frequency ratio (the axial excitation frequency to the helical frequency) are varied. The vortex structures and velocity magnitude reveals flow modulations due to blooming control. With the time-averaged local Nusselt number, the heat transfer performance of the blooming jets is evaluated quantitatively. Compared with uncontrolled jets, the uniformity of heat transfer of blooming jets is better, suggesting their potential application for leveling the heat transfer of impinging jets.
Accelerated sampling schemes for high dimensional systems

In this thesis we discuss accelerated sampling schemes for high dimensional systems, for example molecular dynamics (MD). The development of these methods is fundamental to the effective study of a large class of problems, for which traditional methods converge slowly to the system’s underlying invariant probability distribution. Due to the complexity of the landscape defined by an energy function (or, in statistical models, the log likelihood of the target probability density), the exploration of the probability distribution is severely restricted. This can have detrimental effects on the conclusions drawn from numerical experiments when potentially important states and solutions are absent in the examination of the results as a consequence of poor sampling. The aim of accelerated sampling schemes is to enhance the exploration of the invariant measure by improving the rate of convergence to it. In this work, we first focus our attention on numerical methods based on canonical sampling by studying Langevin dynamics, for which the convergence is accelerated by extending the phase-space. We introduce a scheme based on simulated tempering which makes temperature into a dynamical variable and allows switching the temperature up or down during the exploration in such a way that the target probability distribution can be easily obtained from the extended distribution. We show that this scheme is optimal when operated in the infinite switch limit. We discuss the limitations of this method and demonstrate the excellent exploratory properties of it for a moderately complicated biomolecule, alanine-12. Next, we derive a novel approach to constant pressure simulation that forms the basis for a family of pure Langevin barostats. We demonstrate the excellent numerical performance of Lie-Trotter splitting schemes for these systems and the superior accuracy and precision of the simultaneous temperature and pressure control in comparison to currently available schemes. The scientific importance of this method lies in the ability to control the simulation and to make better predictions for applications in both materials modelling and drug design. We demonstrate this method in simulations of state transitions in crystalline materials using the “Mercedes Benz” potential. In a final contribution, we extend the infinite switch schemes to incorporate a general class of collective variables. In particular this allows for tempering in both temperature and pressure when combined with our new barostat. We conclude this thesis by presenting a numerical study of the computational prospects of these methods.
A study of caesarean section at full cervical dilatation

The increasing trend of caesarean section at second stage is of major concern in modern obstetrics. According to a data from 150 countries, collected from 1990 to 2014, 18.6% of all births were done under knife, ranging from 6% to 27.2% in the least and most developed regions, respectively. Based on the data from 121 countries, the trend analysis showed that between 1990 and 2014, the global average caesarean section rate increased 12.4% (from 6.7% to 19.1%) with an average annual rate of increase of 4.4%1. Incidence of second stage caesarean section has increased from 0.9 to 2.2%. This increasing trend of caesarean section in second stage of labour is multifactorial, probably a combination of lack of training for junior staff in second stage decision making, lack of expertise in assisted vaginal delivery. Caesarean section at full dilation is technically more challenging procedure than caesarean section in early labour. Maternal morbidity in second stage caesarean section may be in form of extension of uterine angels, post postpartum hemorrhage and prolonged surgical time.
Learning orientation and innovation performance: the mediating role of operations strategy and supply chain integration

Purpose The purpose of this study is to explore the effect of operations strategy (cost, quality, flexibility and delivery) and supply chain integration on innovation performance under influence of learning orientation. Design/methodology/approach Taking a quantitative and deductive approach, a conceptual framework was developed and tested by analyzing data gathered through survey questionnaire from 243 UK manufacturing firms using structural equation modeling. Findings The findings show that learning orientation influences operations strategy and supply chain integration, but it does not have a direct impact on innovation performance. Additionally, quality and flexibility strategies affect innovation performance and supply chain integration positively, while cost and delivery strategies do not have a significant effect on these variables. Research limitations/implications Operations strategy types (cost, quality, flexibility and delivery) were studied as distinct variables, whereas supply chain integration also has several dimensions but that has not been investigated separately in the present research. The findings are also based on limited 243 responses from UK manufacturing firms. Practical implications Innovation performance of manufacturing firms can be improved through a more integrated supply chain if managers embody flexibility and quality capabilities in their operations and become learning oriented. Originality/value The effect of supply chain integration on innovation performance and learning orientation on supply chain integration and operations strategy types have not been fully explored in literature. Also, having all four operations strategy types in a direct relation to supply chain integration and innovation performance is another original aspect of the current study.
Diversity and Antimicrobial Activity of Cultivable Halophilic Archaea from Three Algerian Sites

Hypersaline environments are colonized by communities of microorganisms, which developed adaptations from halotolerant to extreme halophilic lifestyles. Twenty-four halophilic archaeal strains were isolated from three Algerian hypersaline sites, including the solar salterns in Ichekaben and two natural salt lakes at Ouargla and Oran. Almost full-length 16S rRNA genes were amplified using archaeal-specific primers, sequenced and phylogenetically analyzed. Three isolates from the salt lake of Ouargla were affiliated to Halorubrum sp. , while six isolates from Ichekaben were Natrinema sp. The remaining strains belonged to the genus Haloarcula, which was identified in the three Algerian sites. A phylogenetic tree of Haloarcula sp. including the two copies of the 16S rRNA gene, showed that two strains group with Haloarcula hispanica, while the other 13 cluster with OHF-1/OHF-2 isolated from French commercial salt. Both Natrinema sp. and Haloarcula sp. were persistent at Ichekaben. For the six Natrinema sp. isolates, this observation correlates with their capacity to produce antimicrobial compounds, and a DNA fragment closely related to the halocin C8 gene was amplified for five strains.
Huriella flakusii (Teloschistaceae, lichenized Ascomycota), a new species from the Colca Canyon region in Peru

Abstract A new species, Huriella flakusii, is described from the arid region of the Colca Canyon in southern Peru, and is characterized by squamulose, orange thalli and abundant, crowded and aggregated, usually flexuous when compressed, reddish apothecia. The thalline cortex, proper margin and hypothecium are paraplectenchymatous. The ascospores are broadly ellipsoid, 10‒15 × 5.0‒9.5 µm, with rather thin septa, 2‒4 µm. Phylogenetic analyses of the DNA sequences of ITS, nuLSU and mrSSU rDNA markers revealed that the new species is nested within the Amundsenia-Squamulea subclade in the subfamily Xanthorioideae, and has a sister group relationship to Huriella loekoesiana from South Korea.
Dual-Path Siamese CNN for Hyperspectral Image Classification With Limited Training Samples

In recent years, deep convolutional neural networks (CNNs) have been widely used for hyperspectral image (HSI) classification. The powerful feature extraction capability and high classification performance of CNN highly depend on sufficient training samples. Unfortunately, it is not a common situation because collecting training samples is time-consuming and expensive. In this letter, in order to make the most of deep CNN with limited training samples, dual-path siamese CNN (Dual-SCNN) is proposed for HSI classification. Specifically, the proposed classification framework is a combination of extended morphological profiles, CNN, siamese network, and spectral–spatial feature fusion. In order to solve the problem of insufficiency in hard negative pairs during the training of a siamese network, adversarial training is combined with Dual-SCNN (Dual-SCNN-AT) for HSI classification. Moreover, a data augmentation method titled mixup is combined with Dual-SCNN and Dual-SCNN-AT to further improve the classification performance of HSI. The obtained results on widely used hyperspectral data sets reveal that the proposed methods provide the competitive results in terms of classification accuracy, especially with limited training samples.
FuSENet: fused squeeze-and-excitation network for spectral-spatial hyperspectral image classification

Deep learning-based approaches have become very prominent in recent years due to its outstanding performance as compared to the hand-extracted feature-based methods. Convolutional neural network (CNN) is a type of deep learning architecture to deal with the image/video data. Residual network and squeeze and excitation network (SENet) are among recent developments in CNN for image classification. However, the performance of SENet depends on the squeeze operation done by global pooling, which sometimes may lead to poor performance. In this study, the authors propose a bilinear fusion mechanism over different types of squeeze operation such as global pooling and max pooling. The excitation operation is performed using the fused output of squeeze operation. They used to model the proposed fused SENet with the residual unit and name it as FuSENet. Here the classification experiments are performed over benchmark hyperspectral image datasets. The experimental results confirm the superiority of the proposed FuSENet method with respect to the state-of-the-art methods. The source code of the complete system is made publicly available at https://github.com/swalpa/FuSENet.
SALE: Smartly Allocating Low-Cost Many-Bit ECC for Mitigating Read and Write Errors in STT-RAM Caches

Spin-transfer torque RAM (STT-RAM) is a future technology for ON-chip caches. However, it suffers from high read and write error rates. Concurrently dealing with these errors is quite challenging and incurs large performance overhead. This article proposes a smartly allocating low-cost many-bit ECC (SALE) scheme, which makes use of the low-cost many-bit error correction coding (ECC) to overcome this performance overhead. The low-cost many-bit ECC can fix many errors with low logic complexity and latency overheads. However, it requires a large number of parity bits. Therefore, SALE smartly uses low-cost many-bit ECC for only a certain type of cache lines and manages the corresponding large number of parity bits in the data array. SALE also introduces an ECC-free partition to reduce the ECC storage requirement for the STT-RAM caches. The cache lines belonging to an ECC-free partition do not have dedicated storage space for the ECC parity bits, thereby reducing the ECC storage requirement for the STT-RAM caches. Our experimental results demonstrate that SALE achieves performance close to that of an error-free cache by improving performance by 13% (16%) over the baseline scheme in single-core (quad-core) systems while requiring 50% less storage space for the ECC parity bits.
Silicon-on-insulator, free-spectral-range-free devices for wavelength-division multiplexing applications

Silicon-on-insulator (SOI) microring resonator (MRR)-based modulators and filters have been researched extensively for use in wavelength-division multiplexing (WDM) systems due to their attractive spectral characteristics and small device footprints. However, an inherent drawback of using MRRs in WDM systems is their free-spectral-ranges (FSR). The FSR limits the aggregate data rate of the system, as it limits the number of channels that can be selectively modulated in a WDM transmitter, or simultaneously de-multiplexed in a WDM receiver. The goal of this thesis is to present and demonstrate SOI, MRR-based modulators and filters with FSR-free responses. We first experimentally demonstrate an SOI, FSR-free, MRR-based filter with a reconfigurable bandwidth. The device uses a grating-assisted coupler integrated into the MRR cavity to achieve an FSR-free response. Here, we demonstrate a nonadjacent channel isolation, for 400-GHz WDM, greater than 26.7 dB. A thermally tunable coupling scheme is utilized to compensate for fabrication variations and to demonstrate the reconfigurable filter bandwidth. We then demonstrate how lithography effects affect the performance of SOI devices, which include grating-based components. Using lithography models developed for deep ultraviolet lithography processes, we analyze the effects of lithography on the performance of an MRR with an integrated, grating-assisted coupler. We show that, if the effects of lithography are not taken in account during device design flow, large discrepancies result between the predicted “as-fabricated” and “as-designed” device performance. We also demonstrate how to use the lithography models to compensate for lithographic-effects in future device designs. Lastly, we experimentally demonstrate an FSR-free, MRR-based, coupling modulator. We demonstrate open eye
Differing marine animal biomass shifts under 21st century climate change between Canada’s three oceans

Under climate change, species composition and abundances in high-latitude waters are expected to substantially reconfigure with consequences for trophic relationships and ecosystem services. Outcomes are challenging to project at national scales, despite their importance for management decisions. Using an ensemble of six global marine ecosystem models we analyzed marine ecosystem responses to climate change from 1971 to 2099 in Canada’s Exclusive Economic Zone (EEZ) under four standardized emissions scenarios. By 2099, under business-as-usual emissions (RCP8.5) projected marine animal biomass declined by an average of −7.7% (±29.5%) within the Canadian EEZ, dominated by declines in the Pacific (−24% ± 24.5%) and Atlantic (−25.5% ± 9.5%) areas; these were partially compensated by increases in the Canadian Arctic (+26.2% ± 38.4%). Lower emissions scenarios projected successively smaller biomass changes, highlighting the benefits of stronger mitigation targets. Individual model projections were most consistent in the Atlantic and Pacific, but highly variable in the Arctic due to model uncertainties in polar regions. Different trajectories of future marine biomass changes will require regional-specific responses in conservation and management strategies, such as adaptive planning of marine protected areas and species-specific management plans, to enhance resilience and rebuilding of Canada’s marine ecosystems and commercial fish stocks.
Metabolism of nucleotides, nucleosides and nucleobases in microorganisms

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The Quantum-Mechanical Sensitive Na/K Pump Is a Key Mechanism for the Metabolic Control of Neuronal Membrane Function

At present, there are relevant scientific materials on the cellular and molecular mechanisms of electrogenic Na/K pump function and structure, as well as on the potential- and ligand-activated ionic channels in the membrane. However, the role of electrogenic Na/K pump in regulation of semipermeable properties of cell membrane has not been elucidated yet, which is due to the fact that our knowledge about the biophysical properties of cell membrane is based on the conductive membrane theory of Hodgkin-Huxley-Katz, which is developed on internally perfused squid axon and lacks intracellular metabolism. Thus, the accumulated abundance of data on the role of G-proteins-dependent intracellular signaling system in regulation of Na/K pump activity and biophysical properties of cell membrane presumes fundamental revision of some statements of membrane theory. The aim of the present review is to briefly demonstrate our and literature data on cell hydration-induced auto-regulation of Na/K pump as well as on its role in metabolic control of semipermeable properties and excitability of neuronal membrane, which are omitted in the study of internally perfused squid axon.