Miracle-dz/UniFAR-FTUs huggingface dataset:
Boosting Innovation Performance Through Innovation Strategy And Government Support In Manufacturing Smes

This study aims at examining the importance of innovation strategy and innovation performance to the growth of manufacturing SMEs in Malaysia to be ready for Industrial Revolution 4.0 adoption. It also aims to examine the role of government support on an innovation strategy that drives innovation performance. A total of 168 responses were obtained, and Smart-PLS was used for data analysis. The finding indicates that government support has a significant impact on innovation strategy. Besides, innovation strategy mediates the relationship between government support and innovation performance. This study makes both theoretical and practical contributions, especially in identifying the significant role of manufacturing SMEs in creating an innovation strategy. Besides, it explained government support as an essential role in strengthening the innovation strategy to improve innovation performance. The findings of the study will provide great help to entrepreneurs in formulating innovation strategy in manufacturing SMEs. Therefore, it is hoped that this study will generate interest among researchers to reach more conclusive evidence about the practice of innovation strategy among Malaysian SMEs.
Estimating the density of secretive, at-risk snake species on DoD installations using an innovative approach : IDEASS

The Department of Defense (DoD) expends considerable resources managing and conserving threatened, endangered, or at-risk snake species. Management for these species is often hampered by a lack of basic knowledge regarding their population size and trajectory. The low detectability of most snakes makes it difficult to determine their presence, or to employ traditional methods to estimate abundance. This work demonstrated a novel, simulation-based method, Innovative Density Estimation Approach for Secretive Snakes (IDEASS), for estimating snake density based on systematic road surveys, behavioral observations of snake movement, and spatial movement (radio telemetry) data. This method was used to generate meaningful density estimates for two rare and cryptic snakes of conservation concern, the Southern Hognose and Eastern Diamondback Rattlesnake, at Fort Stewart, Georgia. IDEASS was also applied to an existing dataset to retroactively estimate density of a more common species of management concern, the Western Ratsnake, at Fort Hood, Texas. In all three cases, traditional density estimation via visual surveys and capturemark-recapture (CMR) failed completely due to lack of captures and recaptures, despite extensive field effort. We conclude that IDEASS represents a powerful tool, and in some cases the only viable method, for estimating density of secretive snakes. DISCLAIMER: The contents of this report are not to be used for advertising, publication, or promotional purposes. Citation of trade names does not constitute an official endorsement or approval of the use of such commercial products. All product names and trademarks cited are the property of their respective owners. The findings of this report are not to be construed as an official Department of the Army position unless so designated by other authorized documents. DESTROY THIS REPORT WHEN NO LONGER NEEDED. DO NOT RETURN IT TO THE ORIGINATOR. ERDC/CERL TR-20-10 iii
Evaluation of Oxidative Stress in Patients with Fracture Admitted to Khatam Al-Anbia Hospital in Zahedan

Background: Caused by an imbalance in the body’s oxidant and antioxidant status, oxidative stress can give rise to tissue damage and exacerbation of many diseases. Objectives: This study investigated the oxidative stress markers in patients with fractures and healthy subjects. Methods: In a cross-sectional case-control study, 40 patients with fractures admitted to an orthopedic ward and 40 healthy, non-fractured patients were selected using convenience sampling. Serum was analyzed for oxidant and antioxidant activities based on standard methods. P < 0.05 was considered statistically significant. Results: There was a significant difference in mean TAC between the case (748.2 ± 302.83 μmol/L) and control (984.90 ± 207.02 μmol/L) groups (P = 0.003). The mean MDA was 16.61 ± 4.16 µmol/L in the case group and 18.45 ± 5.43 µmol/L in the control group (P = 0.09). The mean SOD was 63.41 ± 16.67 U/g Hb in the case group and 58.54 ± 21.83 U/g Hb in the control group (P = 0.2). There was no significant difference between the two groups in terms of BMI and other variables. Conclusions: A significant difference existed in TAC between the two groups, which indicated increased oxidative stress in patients. However, oxidative stress could occur before and after undergoing fractures. The results suggested a slight, but not significant, difference between the two groups in the SOD and MDA scores. More conclusive results are required to determine the enzymatic and non-enzymatic markers of oxidative stress in larger sample sizes and during different stages of treatment.
Dietary phosphorus requirement of juvenile Atlantic salmon

The objective of this study was to determine the dietary phosphorus (P) requirement of juvenile Atlantic salmon, Salmon salar L. Triplicate groups of fish (mean initial weight 1.4 g) were fed semipurified, casein-gelatine-based diets containing one of five levels of P (4, 8, 10, 15 and 25 g kg ‐1 ) from Ca(H2PO4)2zH2O, or a commercial feed (17 g kg ‐1 P) for 9 weeks. Weight gains did not differ significantly among treatment groups fed the experimental diets but were slightly less than gains in fish fed the commercial feed. Feed efficiency (wet weight gain/dry feed consumed) was similar in all groups, averaging 1.45. Availability of dietary P, estimated from apparent retention and apparent digestibility, was 86%. Whole-body P concentrations declined in fish fed diets containing less than 10 g kg ‐1 P. Fitting a logistic curve to dietary P vs. whole-body P concentrations indicated that a minimum of 11 gk g ‐1 dietary P (9 g kg ‐1 digestible P) was required by juvenile Atlantic salmon to maintain whole-body P concentrations at initial levels. Calculation of a dietary requirement using a simple factorial model which incorporated measurements of P availability, feed efficiency and normal whole-body P concentration indicated that the dietary requirement was approximately 10 gk g ‐1 . The dietary requirement established in this study (10‐11 gk g ‐1 ) is higher than previously reported for Atlantic salmon or other fishes. Possible reasons for the wide range of reported dietary P requirements in fishes are discussed.
The Impact of Climate Change on the River Jordan-Lake Kinneret (Israel) Ecosystem

The long-term record of River Jordan-Lake Kinneret ecosystem indicates some significant climate condition changes: water temperature increase, decline in rainfall, and diminishing river discharges and lake water inflows accompanied by a reduction in nitrogen and a slight increase in phosphorus in the Lake upper layers (Epilimnion). Lake Water level decreased, Prolongation of Residence Time was documented, nutrient inputs and dynamics modifications resulting water quality deterioration. As a result of temperature elevation and nitrogen deficiency, the biomass of Peridinium spp significantly reduced and was replaced by Cyanobacterial biomass enhancement. Dryness trend expressed as enhanced frequency of drought seasons initiated an elevation of lake water salinity. It has been suggested that these changes in the phytoplankton community structure are caused by regional climate change. This study evaluates a multi-annual respective approach although the summer is the most critical. The objective of this research is evaluate the background of the ecosystem structure modification aimed at define future potential management design.
Impact of introducing a herb pasture area into a New Zealand sheep and beef hill country farm system: a modeling analysis

New Zealand is well known for export of meat and dairy products from low cost pastoral systems. These farm systems are continually evolving for increased ef ﬁ ciency, in part through the use of metabolic energy modeling tools by farmers and farm consultants to explore alternative farm system con ﬁ gurations and identify new ef ﬁ ciencies. One recent innovation is the introduction of a herb pasture area, such as plantain. We used metabolic energy modeling to quantify seasonal feed ﬂ ows in two successive years in a New Zealand hill country farm system, and to analyze the impact of the introduction of an area of plantain. Models employed were a self-built Microsoft Excel spreadsheet and a commercial New Zealand farm systems modeling package, FARMAX. Herbage production, animal performance and ﬁ nancial results for a base farm scenario created from the average of survey data for hill farms in the southern North Island, and the same farm with 10 % and 20 % of the area in plantain for the years 2010 – 2011 and 2011 – 2012 were modeled. The self-built model performed similarly to the commercial model. The system con ﬁ guration of the base farm stock-piles surplus autumn feed for release to animals in winter and also incorporates ﬂ exibility that confers resilience to interannual weather variation through varying dates animals are purchased or sold. The introduction of an area of plantain was predicted to increase herbage production, animal performance and ﬁ nancial returns. The predicted bene ﬁ t was higher for the year 2010 – 2011 where a drought occurred in summer than for the following year with higher summer rainfall. This demonstrates the pro ﬁ tability of introducing a plantain area to New Zealand hill farm systems, and suggests plantain will assist to mitigate adverse effects of warmer and drier summer conditions associated with current climate change trends.
Genetic Diversity of Ambrosia trifida L. as Revealed by AFLP Markers

Aims: Invasion of alien species has become a global problem. Many invaders appear to thrive even with low levels of sequence-based genetic variation, and genetic patterns might congruent with the spatial arrangement of populations. Study Design: The genetic diversity of giant ragweed was investigated using amplified fragment length polymorphism (AFLP). There were 5 populations(100 samples), and the distance between the two populations was more than 20 kilometers along with the mainstream of Liaohe. Place and Duration of Study: Samples were collected from Liaohe Basin. Experiments were done in the College of Biological Science and Technology, between February 2016 and March 2017. Methodology: The distance between the two populations was more than 20 kilometers. We sampled five populations of Ambrosia trifida L. along Liaohe river in Liaoning province (north-east Short Research Article Shao et al.; BJI, 21(3): 1-9, 2018; Article no.BJI. 41343 2 of China). Leaves for AFLP experiment were stored in discoloration silica gel. Genomic DNA was extracted following the CTAB protocol. Results: The genetic distances varied with the geographic distances. However, with the influence of many different situations, and many modes of transmission, the discrepancy of genetic distance was reflected. There was low genetic diversity during earlier period of invasion diversity. After a period of invasion, genetic diversity gradually increased. Panshanzha number of polymorphic bands and percentage of polymorphic bands was 98 and 64.47% respectively. Manduhu was 93 and 61.16%, Juliuhe was 100 and 65.79%, Shifosi was 98 and 64.47%, Shuanganqiao was 127 and 83.55%. Shuanganqiao possessed the highest polymorphism. Conclusion: The source of genetic variation of giant ragweed in Liaohe was gene flow of population. Shuanganqiao might be the spread center.
Beyond Beer: Hop Shoot Production and Nutritional Composition under Mediterranean Climatic Conditions

For hop growers, surplus shoots are generally a useless by-product of cultivation. Conversely, they may represent a valuable resource due to rising interest towards healthy and traditional foods. A field trial was carried out in Central Italy to characterize shoot production (number of emerged shoots, shoot fresh weight, marketable shoot yield, and shoot diameter) of three commercial hop cultivars (Cascade, Challenger, and Hallertauer Magnum) and to survey shoot proximate composition (ash, ether extract, crude protein, and crude fiber). Green shoots were harvested when they were from 20 to 40 cm in length. The results from two years showed that there was significant difference among the varieties and between growing seasons, both for yield traits and for nutritional composition. H. Magnum showed the highest marketable shoot yield (152 g per plant, two-year mean), while Cascade had the best proximate composition. The number of emerged shoots per plant varied from 62.5 of Cascade to 84.3 of H. Magnum over a two-year average. Marketable shoot yield showed a positive relationship with number of shoots and average shoot fresh weight, while no significant correlation was found with shoot diameter. Hop shoots proved to be a low-fat food (ether extract from 2 to 6% dry matter (DM)) with high protein (from 22 to 30% DM) and fiber content (from 10 to 16% DM).
Developing a heat load index for lactating dairy cows

The temperature humidity index (THI) has been extensively used in the Australian dairy industry as an indicator of heat load conditions. However, there are limitations to the THI, where it does not account for solar radiation or wind speed. In addition, the THI has not been formulated in conjunction with physiological data. Thus, it is not apparent whether the THI provides the best prediction for impact of heat load on lactating dairy cattle. The aim of the present study was to develop a dairy heat load index (DHLI), based on the physiological responses of lactating dairy cows to environmental conditions. The study was undertaken at The University of Queensland, Gatton Campus, Australia, over three summers and two winters. Observations were conducted four times daily at 0800 hours, 1200 hours, 1400 hours and 1700 hours. Weather data were obtained every 10 min from an onsite, automated weather station. Panting score data were used to calculate a mean panting score of the herd. Developing the DHLI encompassed three different modelling techniques, including (1) linear regression, (2) broken stick regression and (3) non-linear logistic regression. Comparisons between the models indicated there was an increase in accuracy when using non-linear logistic regression (R2 = 0.542). The DHLI model developed was based on mean panting score, black globe temperature (°C) and relative humidity. By utilising the black globe temperature, the DHLI is able to incorporate the combined effects of ambient temperature, relative humidity, solar radiation and wind speed in a single unit measure. By combining climatic conditions and a physiological response, i.e. panting score, the DHLI model may become a more accurate prediction of heat load for lactating dairy cows. The DHLI produces a unit value between 0 and 100. When DHLI is 0, there would be no panting and, when DHLI is 100, all cows within the herd would be panting.
Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals

The categorization of sleep stages helps to diagnose different sleep-related ailments. In this paper, an entropy-based information–theoretic approach is introduced for the automated categorization of sleep stages using multi-channel electroencephalogram (EEG) signals. This approach comprises of three stages. First, the decomposition of multi-channel EEG signals into sub-band signals or modes is performed using a novel multivariate projection-based fixed boundary empirical wavelet transform (MPFBEWT) filter bank. Second, entropy features such as bubble and dispersion entropies are computed from the modes of multi-channel EEG signals. Third, a hybrid learning classifier based on class-specific residuals using sparse representation and distances from nearest neighbors is used to categorize sleep stages automatically using entropy-based features computed from MPFBEWT domain modes of multi-channel EEG signals. The proposed approach is evaluated using the multi-channel EEG signals obtained from the cyclic alternating pattern (CAP) sleep database. Our results reveal that the proposed sleep staging approach has obtained accuracies of 91.77%, 88.14%, 80.13%, and 73.88% for the automated categorization of wake vs. sleep, wake vs. rapid eye movement (REM) vs. Non-REM, wake vs. light sleep vs. deep sleep vs. REM sleep, and wake vs. S1-sleep vs. S2-sleep vs. S3-sleep vs. REM sleep schemes, respectively. The developed method has obtained the highest overall accuracy compared to the state-of-art approaches and is ready to be tested with more subjects before clinical application.
FLUORESCENCE DIAGNOSTICS AND PHOTODYNAMIC THERAPY 
IN CANCER

Recently, fluorescence diagnostics and photodynamic therapy (PDT) is increasingly gaining in popularity for clinical use. The purpose of this review was to describe the results of using laser and molecular techniques to develop targeted cancer therapy for improved drug delivery to cancer cells with regards to tissue visualization, single-cell localization, monitoring of treatment, and drug efficacy.
Toward a Self‐Consistent Characterization of Lithospheric Plates Using Full‐Spectrum Viscoelasticity

Determining the thickness of the lithosphere in any given setting combines uncertainty in both the observational method and laboratory‐derived understanding of mantle rheology. The many observational and modeling criteria across geophysical subfields for plate thickness lead to significant differences in plate thickness estimates depending on the process of interest, be it seismic wave propagation or relaxation in response to changes in loads—from earthquakes, ice sheets to volcanoes—or convection. This paper proposes a framework in which to model and interpret upper mantle mechanical structure smoothly across the full spectrum of geophysical timescales. We integrate viscous, elastic, and linear anelastic constitutive models and calculate the mechanical response from convective to seismic wave timescales (i.e., 0 to infinite frequency or, in practice, 10−15 to 1 Hz). We apply these calculations to 1‐D thermal structures and determine the normalized complex viscosity, a quantity that shows clearly the role of transient creep in weakening rock relative to the associated Maxwell rheology. Using various criteria for the lithosphere‐asthenosphere boundary, we show that the apparent plate thickness will be thicker at higher frequencies than at lower frequencies. Additional calculations for nonlinear Maxwell behavior (dislocation mechanisms) demonstrate significant changes in the apparent plate structure, decreasing the long‐term plate thickness, consistent with observations. Other effects such as dislocation damping (associated with a steady‐state dislocation structure), melt, water, major element composition, and grain size are not included here but, when incorporated into this framework, will significantly change the full‐spectrum plate thickness predictions.
Comparative Study on New lighting Technologies and Buildings Plans for High-performance Architecture

Daylighting has always been the central focus of designers. Today, due to economic, health, and environmental concerns, daylighting has taken on paramount importance. However, due to location and architectural restrictions, the use of natural light in all interior spaces is a challenge facing architects. Today, although the development of modern lighting systems has contributed to a solution to this problem, the provision of necessary conditions for more efficient daylighting necessitates a thorough understanding of all types of lighting systems and plans. This study aimed to further link technology and architecture to take the required steps to solve the shortage of interior daylight by comparing and selecting appropriate daylighting systems and plans. To this end, we first studied various modern lighting systems and analyzed their characteristics to prioritize and select their most efficient elements and factors. In this regard, the FGD method was used to identify criteria and sub-criteria. Then ANP was used to analyze and compared to identify the most optimal ones. In the next step, we studied different types of office plans to prioritize them based on the aforementioned elements. It is worth noting that to validate the results, we surveyed experts in the field. In the last step, we studied compared the compatibility of different plans and systems to achieve the most compatible ones.
Trajectory control of quadcopter by designing Second order SMC Controller

This paper studies the modelling and control of quadcopter . it models the quadcopter nonlinear dynamics using Lagrange formalism and design controller for attitude (pitch & roll), heading & altitude tracking of quadrotor. The mathematical modelling includes aerodynamic effects and gyroscopic moments. One Non-linear Control strategies, Second-Order Sliding Mode Control (SOSMC) based on super-twisting algorithm has been proposed. The Controller has been implemented on the quadrotor physical model using Matlab/Simulink software. Finally, the performance of the proposed controller demonstrated in simulation study. The simulation results show excellent modelling and control performance.
Modeling and Experimental Investigation of Electromagnetic Interference (EMI) for SiC-Based Motor Drive

The motor drive has been widely adopted in modern power applications. With the emergency of the next generation wide bandgap semiconductor device, such as silicon carbide (SiC) MOSFET, performance of the motor drive can be improved in terms of efficiency, power density, and reliability. However, the fast switching transient and serious switching ringing of the SiC MOSFET can cause unwanted high-frequency (HF) electromagnetic interference (EMI), which may significantly reduce the reliability of the motor drive in many aspects. In order to comprehensively reveal the mechanism of the EMI previously used in motor drives using SiC MOSFET, this paper plans to analyze the influences of both HF impedance of the motor and switching characteristics of the SiC MOSFET. A simulation model for motor drives has been proposed, which contains the HF circuit model of the motor as well as a semi-behavioral analytical model of the SiC MOSFET. Since the model shows a good agreement with the experimentally measured results on spectra of drain-source voltage of the SiC MOSFET (vds), phase to ground voltage of the motor (vphase), CM voltage (vcm), phase current of the motor (idm), and CM current (icm), it can be adopted to quantitatively investigate the influence of the motor impedance on EMI through frequency-domain analysis. Additionally, the impacts of switching characteristics of SiC MOSFET on EMI are also well studied according to relative experiment results in terms of switching speed, switching frequency, and switching ringing. Based on the analysis above, the relationship between motor impedance, switching characteristics of the SiC MOSFET, and HF EMI can be figured out, which is able to provide much helpful assistance for application of the motor drive.