Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationships Between Market Orientation, Customer Engagement, and Innovation Performance Of Manufacturing Smes

The purpose of this study is to develop innovation performance modes based on the market orientation and customer engagement influence. The market orientation through customer engagement enable companies to achieve innovative performance of Small, medium enterprises (SME) manufacturing in Bali. The conceptual model was developed to analyze the mediating role of customer engagement in market orientation relationships and innovation performance. The research design was cross-sectional with 242 responses. Data collection was based on the questionnaires conducted on managers or owners of manufacturing SMEs in Bali. The model was tested using Partial Least Square (PLS). This study establised that strong market orientation practices and high customer engagement significantly influence innovation performance. The tresearch indicates the practical benefits that organizations may obtain by building and managing market-oriented behavior and customer engagement. Therefore, understanding market orientation practices and customer engagement is important in creating better innovation performance.
THE SOUND‐CONDUCTING SYSTEMS OF LIZARDS WITHOUT TYMPANIC MEMBRANES

The possible reconstruction of the captorinomorph and Pelycosaur middle ear can be approached from a comparative anatomical point of view. If there were no tympanic membrane in these forms, as had been supposed (Watson, 1953), its absence must have had an effect on the structure of the sound-conducting parts of the internal ear. In another group of reptiles, the lizards, a tympanic membrane is frequently absent and the detailed structure of the internal ears of these forms can be studied with relative ease. The purpose of the present investigation is therefore to study the structure of the internal ear of lizards and to note particularly the modifications that can be associated with the absence of a tympanic membrane or middle ear cavity.
Seismic Hazard Harmonization in Europe Project Acronym : SHARE

This document describes the structure and the main characteristics of the Seismic Hazard Engine (SHE) primarily developed in cooperation by the hazard team of the Global Earthquake Model (GEM, www.globalearthquakemodel.org) initiative and, by members of the USGS hazard team. The SHARE team cooperated to the development of the engine by providing input models together with extensive insights and suggestions with specific regard to the European context as specified in the following part of this document. The SHE, created on top of OpenSHA (www.opensha.org) and fully integrated with it, accepts a set of standardized source typologies characterized by a time-independent occurrence model. Through the SHARE-GEM cooperation we ensure full compatibility with the developments to assess risk on a Euro-Mediterranean scale through the risk assessment engine of GEM. The SHE calculates hazard following the procedure proposed by Field et al. (2003). It accepts PSHA input models accounting for epistemic uncertainties in the definition of the Earthquake Rupture Forecast (ERF, in some cases also called the seismicity occurrence model) and epistemic uncertainties related to the definition of the Intensity Measure Relationships (IMR) more widely known as Ground Motion Prediction Equations (GMPEs). The engine can generate a set of stochastic event sets representative of a given time span (just by sampling an ERF) and associate to each generated event a scenario shake map, with the possibility of accounting for the spatial correlation of ground motion. This feature will be of particular interest for future risk applications. The current version of the engine was successfully tested using diverse PSHA input models in the GEM1-pilot project phase, including the computation of a re-engineered EuropeanMediterranean model, a derivative of the outcomes from the SESAME-project. In the present version this document focuses on the description of the standard procedure adopted for hazard calculation. Up front, we would like to thank: Ned Field (USGS) and his team for support, the code base and continued efforts to improve OpenSHA.
Silicon carbide monolayer with alkali and alkaline earth metal adatoms for H2 storage: a computational study

Given their great surface-to-volume ratio, bidimensional monolayers are ideal for hydrogen storage in fuel cell systems. It has been demonstrated that the silicon carbide (SiC) monolayer has a sp hybridization which makes it an alternative to graphene. In this work, the hydrogen adsorption properties of a silicon carbide monolayer decorated with alkali and alkaline earth metal atoms are analysed by means of first-principles calculations. The results suggest that the adatoms cause little distortion to the monolayer, and they tend to be adsorbed on sites above Si atoms. The adatoms act as adsorption sites for H2 molecules: up to seven molecules can be adsorbed by K, Mg and Ca. The adsorption energies suggest that H2 molecules are physisorbed over the decorated SiC monolayer, which means that no chemical bonds are created between H2 and the adatoms. This is beneficial because the breaking of chemical bonds, which would be needed to make use of the stored H2, is energetically expensive. These results add to a continuing effort to develop efficient means of reversible hydrogen storage.
HTSanalyzeR: a R/Bioconductor package for integrated network analysis of high-throughput RNAi screens

Motivation: High-throughput screens (HTS) by RNAi or small molecules are among the most promising tools in functional genomics. They enable researchers to observe detailed reactions to experimental perturbations on a genome-wide scale. While there is a core set of computational approaches used in many publications to analyze these data, a specialized software combining them and making them easily accessible has so far been missing. Results: Here we describe HTSanalyzeR , an integrated analysis pipeline for HTS data that contains over-representation analysis, gene set enrichment analysis, comparative gene set analysis and rich sub-network identification. HTSanalyzeR directly builds on commonly used pre-processing packages for HTS data and presents its statistical results as HTML pages and network plots. Availability: Our software is written in the R language and freely available via the Bioconductor project at http://www.bioconductor. org. Contact: florian.markowetz@cancer.org. uk
When predictors of outcomes are necessary: guidelines for the combined use of PLS-SEM and NCA

PurposeThis research introduces the combined use of partial least squares–structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) that enables researchers to explore and validate hypotheses following a sufficiency logic, as well as hypotheses drawing on a necessity logic. The authors’ objective is to encourage the practice of combining PLS-SEM and NCA as complementary views of causality and data analysis.Design/methodology/approachThe authors present guidelines describing how to combine PLS-SEM and NCA. These relate to the specification of the research objective and the theoretical background, the preparation and evaluation of the data set, running the analyses, the evaluation of measurements, the evaluation of the (structural) model and relationships and the interpretation of findings. In addition, the authors present an empirical illustration in the field of technology acceptance.FindingsThe use of PLS-SEM and NCA enables researchers to identify the must-have factors required for an outcome in accordance with the necessity logic. At the same time, this approach shows the should-have factors following the additive sufficiency logic. The combination of both logics enables researchers to support their theoretical considerations and offers new avenues to test theoretical alternatives for established models.Originality/valueThe authors provide insights into the logic, assessment, challenges and benefits of NCA for researchers familiar with PLS-SEM. This novel approach enables researchers to substantiate and improve their theories and helps practitioners disclose the must-have and should-have factors relevant to their decision-making.
Studies on the Effect of Carbon and Nitrogen Sources for the Decolourization of Reactive Textile Dyes by Bacterial Isolates

Colour removal, in particular, has recently become a major scientific interest. Microbial decolourization and degradation is an environmentally friendly and cost-competitive alternative to chemical decomposition processes.In the present study, the effect of carbon and nitrogen sources on bacterial decolourization of Reactive Textile Dyes was investigated. The dye house effluent was collected from a dyeing unit in Theco Silks, Thirubhuvanam region, Kumbakonam district, Tamil Nadu, India. It was refrigerated at 4 °C and used without any preliminary treatment.Six different bacterial isolates were isolated and identified from the textile dye effluent. The isolated bacterial isolates were identified and characterized as Bacillus odyssey, Bacillus thuringiensis, Bacillus subtilis, Bacillus cereus, Alcaligenes sp. and Nocardiopsis alba.The effect of different carbon sources viz., starch, glucose, sucrose, lactose and maltose on decolourization of Reactive dyes were investigated in the present study. Next to sucrose, maximum bacterial decolourization of reactive dyes was observed in the medium supplemented with glucose, starch, lactose and maltose.The effect of different nitrogen sources viz., yeast extract, ammonium chloride, peptone and ammonium sulphate on decolourization of Reactive dyes were analyzed in the present research. Next to peptone, maximum bacterial decolourization of Reactive dyes were observed in the medium supplemented with ammonium chloride, yeast extract and ammonium sulphate.
Breast meat characteristics of broilers fed fermented mixture of cassava pulp and Moringa oleifera leaf meal

The present study aimed to investigate the effect of feeding fermented mixture of cassava pulp and M. oleifera leaf meal (FCPMO) on the breast meat characteristics of broiler chickens. From day 8 onward, 400 Lohmann broiler chicks were allotted to four dietary groups included CONT (maize-soybean-based feed with no additive), BACI (maize-soybean-based feed supplemented with 0.1% zinc bacitracin), FERM (feed containing 20% of FCPMO) and FERB (feed containing 20% of FCPMO and 0.1% probiotic Bacillus subtilis ). At day 35, one male chick from each replicate (10 chicks per treatment group) was taken and slaughtered. After being eviscerated and de-feathered, sample of breast meat was obtained for the assessment of meat characteristics. Results showed that feeding FCPMO had no effect (P>0.05) on pH and water holding capacity (WHC) of breast meats. Compared to other groups, FERB meat had higher (P<0.05) cooking loss. FERM and FERB meats had lower (P<0.05) moisture content than that of CONT and BACI meats. Feeding FCPMO with or without B. subtilis increased (P<0.05) crude protein content of breast meats. Feeding FCPMO resulted in lower (P<0.05) fat content in the breast meat. Compared to other meats, breast meats from BACI had higher (P<0.05) ash content. Cholesterol was lower (P=0.08) in FERB than in BACI and FERM meats. The 2,2-diphenylpicrylhydrazyl (DPPH) IC 50 values were higher (P<0.05) in meat of CONT than that in other groups. Feeding FCPMO resulted in higher (P<0.05) polyunsaturated fatty acids (PUFA), lower (P<0.05) monounsaturated fatty acids (MUFA) and had no effect on saturated fatty acids (SFA) contents of broiler breast meats. In conclusion, feeding FCPMO produced healthy broiler meat as reflected by the higher contents of protein, PUFA and antioxidants, and lower fat in meats.
Relationship among Frailty, Muscle Volume, Protein Intake in Patients with Chronic Kidney Disease (CKD)

Maintenance of muscle mass and protein intake are closely related. Insufficient protein intake in each meal or a total of three meals causes a decrease in muscle mass. For the elderly, protein intake has been insufficient at breakfast and then a large amount of protein is necessary for stimulating muscle protein synthesis. Consequently, there is a need to more actively and consciously take protein in older age. There have been conflicting results concerning the effect of protein restriction diet on glomerular filtration rate (GFR) in patients with chronic kidney disease (CKD) from the data of various meta-analyses. A beneficial effect and also no significant effect was found. One of the perspectives suggested that protein restriction diet may make slower CKD progression in T1DM and non-DM subjects, but not for T2DM patients. However, further studies will be necessary in the future.
Distributed beamforming for wireless power transfer

With the technology progress, the amount of energy which is necessary to power supply the connected devices will decrease continuously. Providing the energy for such objects by the means of electromagnetic waves (wireless power transfer) becomes a feasible option. This paper tackles a particular method of wireless power transfer, which is the distributed beamforming. By simulation results, the paper highlights the impact on the received power level of the phase coherence and of frequency synthesis mismatch. Then, we present an experimental setup able to test wireless power transfer scenarios through distributed beamforming.
Sentiment and Moral Narratives during COVID-19

The COVID-19 pandemic radically changed the lives of millions with unprecedented economic, societal, but also psychological consequences. Containing the pandemic urged for rapid measures, the success of which hugely rely on mass cooperation. Here, we employed a sentiment (DepechMood++) and a morality (MoralStrenght) dictionary, to analyse user-generated text on the Twitter platform. Quantifying cooperation and competitive attitudes from the linguistic cues during the pandemic, we depict the moral profiles associated with each position. Moreover, we discuss the moral and emotional profiles of individuals who tweeted about conspiracy theories, and the evolution of moral values throughout the pandemic period for four casestudy countries. Our findings show the evolution of moral values during the pandemic for Italy, United States, New Zealand and China. Comparing the moral profiles of cooperative versus competitive attitudes, we find that high loyalty and consideration of the group members is positively correlated to the sentiment of inspiration and negatively correlated to fear.
Rainfall intensification increases the contribution of rewetting pulses to soil heterotrophic respiration

Abstract. Soil drying and wetting cycles promote carbon (C) release through large heterotrophic respiration pulses at rewetting, known as the “Birch” effect. Empirical evidence shows that drier conditions before rewetting and larger changes in soil moisture at rewetting cause larger respiration pulses. Because soil moisture varies in response to rainfall, these respiration pulses also depend on the random timing and intensity of precipitation. In addition to rewetting pulses, heterotrophic respiration continues during soil drying, eventually ceasing when soils are too dry to sustain microbial activity. The importance of respiration pulses in contributing to the overall soil heterotrophic respiration flux has been demonstrated empirically, but no theoretical investigation has so far evaluated how the relative contribution of these pulses may change along climatic gradients or as precipitation regimes shift in a given location. To fill this gap, we start by assuming that heterotrophic respiration rates during soil drying and pulses at rewetting can be treated as random variables dependent on soil moisture fluctuations, and we develop a stochastic model for soil heterotrophic respiration rates that analytically links the statistical properties of respiration to those of precipitation. Model results show that both the mean rewetting pulse respiration and the mean respiration during drying increase with increasing mean precipitation. However, the contribution of respiration pulses to the total heterotrophic respiration increases with decreasing precipitation frequency and to a lesser degree with decreasing precipitation depth, leading to an overall higher contribution of respiration pulses under future more intermittent and intense precipitation. Specifically, higher rainfall intermittency at constant total rainfall can increase the contribution of respiration pulses up to ∼10 % or 20 % of the total heterotrophic respiration in mineral and organic soils, respectively. Moreover, the variability of both components of soil heterotrophic respiration is also predicted to increase under these conditions. Therefore, with future more intermittent precipitation, respiration pulses and the associated nutrient release will intensify and become more variable, contributing more to soil biogeochemical cycling.
Developmental changes in infants’ and children’s attention to faces and salient regions vary across and within video stimuli

Visual attention in complex, dynamic scenes is attracted to locations that contain sociallyrelevant features, such as faces, and to areas that are visually salient. Previous work suggests that there is a global shift over development such that observers increasingly attend to faces with age. However, no prior work has tested whether this shift is truly global, that is, consistent across and within stimuli despite variations in content. To test the global shift hypothesis, we recorded eye movements of 89 children (6 months to 10 years) and adults while they viewed seven video clips. We measured the extent to which each participant attended to faces and to salient areas for each video. There was no evidence of global age-related changes in attention: Neither feature showed consistent increases or decreases with age. Moreover, windowed analyses within each stimulus video revealed significant moment-to-moment variations in the relation between age and each visual feature (via a bootstrapping analysis). For some time windows, adults looked more often at both feature types compared to infants and children. However, for other time windows the pattern was reversed—younger participants looked more at faces and salient locations. Lack of consistent directional effects provides strong evidence against the global shift hypothesis. We suggest an alternative explanation: Over development, observers increasingly prioritize when and where to look by learning to track which features are relevant within a scene. Implications for the development of visual attention and children’s understanding of screen-based media are discussed.
Joint genetic analysis for dairy cattle performance across countries in sub-Saharan Africa

This study assessed the feasibility of across-country genetic evaluation of dairy cattle in sub-Saharan Africa where data on livestock production are scarce. Genetic parameters were estimated for the 305-day milk yield in the first lactation and across five lactations, for age at first calving and for interval between first and second calving. Estimated breeding values of individual animals for these traits were calculated. There were records from 2 333, 25 208, and 5 929 Holstein cows in Kenya, South Africa, and Zimbabwe, and 898 and 65134 Jersey cows from Kenya and South Africa. Genetic gain from sire selection within and across countries. was predicted Genetic links between countries were determined from sires with daughters that had records in two or more countries, and from common ancestral sires across seven generations on both the maternal and paternal sides of the pedigree. Each country was treated as a trait in the across-country evaluation. The results showed that genetic variance and heritability were not always estimable within country, but were significantly different from zero in the across-country evaluation. In all three countries, there was greater genetic gain in all traits from an across-country genetic evaluation owing to greater accuracy of selection compared with within country. Kenya stood to benefit most from an across-country evaluation, followed by Zimbabwe, then South Africa. An across-country breeding programme using joint genetic evaluation would be feasible, provided that there were genetic links across countries, and would provide a platform for accelerated genetic progress through selection and germplasm exchange between sub-Saharan African countries.Keywords: across-country genetic evaluation, genetic connectedness, genetic progress
Structural and electrical properties of La3+ doped BiFeO3 multiferroics

In the present work, BFO doped with Lanthanum has been synthesized by the Sol-Gel method. The wet chemical method is found suitable for the BFO synthesis as it is a low-temperature synthesis method and avoids evaporation of Bismuth from the BFO. The synthesized Bi1-xLaxFeO3 (x = 0.0, 0.10, 0.15, 0.20, 0.25, 0.30) samples have been characterized by X-ray diffraction for structural analysis. The electrical properties of samples have been observed by measuring the room temperature and temperature-dependent dc electrical resistivity, and activation energy. The XRD patterns reveal almost a single crystalline phase of all the samples with only a few traces of an additional phase of Bi2Fe4O9. The Lanthanum doped BFO is found to have a pseudo-cubic rhombohedral perovskite-type structure having space group R3c. The grain size calculated using the Scherrer formula is 27 nm for un-doped BFO and is found La-concentration dependent. The dc resistivity measurements reveal the semiconducting behavior of samples; resistivity increases on increasing the Laconcentration in BFO while decreases on increasing temperature. The La3+ ion which replaces Bi3+ in BFO stabilizes the perovskite structure by preventing Bi3+ loss due to volatilization and removes charge vacancies; thus improving the electrical properties of BFO.
Assessment of post-fire land degradation risk in Lebanon’s 2019 fire affected areas using remote sensing and GIS

Assessment of potential risk of land degradation, especially after fire events, is essential for identifying and prioritizing sites for post-fire management. This study aimed to model potential post-fire land degradation risk in Lebanon in order to plan and prioritize post-fire management actions. The specific objectives were to 1) map “burn severity” of the year 2019 using Landsat 8 and Sentinel 2-A imagery and 2) model post-fire land degradation risk using a Geographic ObjectBased Image Analysis (GEOBIA) approach. Initially, mapping burned areas of the 2019 fire season involved the use of a differenced Normalized Burn Ratio (dNBR) of Sentinel 2-A imagery. Another dNBR image was produced with the use of Landsat 8 imagery. Mapping overall burn severity was conducted based on cross-mapping between the two dNBR images which involved data sources of different spatial and spectral characteristics. Potential post-fire degradation risk was modelled in GEOBIA with the combined use of burn severity and topographic data (i.e., slope gradients). In addition, field data was collected to produce a Composite Burn Index (CBI) of fire-affected sites. The correlation between field data (i.e., CBI scores) and imagery analysis (i.e., dNBR data from Sentinel 2-A and Landsat 8) was assessed using a Spearman correlation test. The combined use of satellite remote sensing images (i.e., polygons of postfire degradation risk) and their corresponding ancillary data (i.e., CBI and soil texture) allowed the prioritization of fire affected sites for implementing post-fire restoration measures.