Miracle-dz/UniFAR-FTUs huggingface dataset:
Innovation and its Importance for Competitiveness in Mexico

The integration between innovation and business is a key factor in competitiveness between organizations. That is, innovation applied to a business makes no sense if not considered as an integral tool for the processes of the organization. Companies should therefore adopt a policy where innovation plays a strategic role in the design of business models to become lean, effective and competitive entities (Moraleda, 2004). The objective of this paper is to show the importance of innovation within companies, identifying the concept, the various models that different entities might adopt in order to develop better processes of innovation, as well as indicators that represent innovation at global and national levels in order to develop strategies that lead to an increase in competitiveness. For this work the method used was a bibliographical review of relevant articles from a range of authors was conducted.
Numerical experiments on unsupervised manifold learning applied to mechanical modeling of materials and structures

The present work aims at analyzing issues related to the data manifold dimensionality. The interest of the study is twofold: (i) ﬁrst, when too many measurable variables are considered, manifold learning is expectedtoextractuselessvariables;(ii)second,andmoreimportant,thesametechnique,manifoldlearning, could be utilized for identifying the necessity of employing latent extra variables able to recover single-valued outputs. Both aspects are discussed in the modeling of materials and structural systems by using unsupervised manifold learning strategies.
Atomic Layer Deposition of Al-doped ZnO Films: Effect of Grain Orientation on Conductivity

Al-doped ZnO (AZO) films were deposited by atomic layer deposition (ALD) on borosilicate glass and sapphire(0001) substrates. The Al composition of the films was varied from 1% to 4% by controlling the ratio of Zn:Al pulses. Film resistivity was measured as a function of Al content and the substrate temperature used for ALD deposition. X-ray diffraction (XRD) was performed on the films, showing a reduction in lattice parameter, as a function of Al concentration, indicating that Al3+ ions occupy substitutional sites in the ZnO lattice. The resistivity of films deposited on sapphire substrates (7.7 × 10−4 Ω cm) was lower than that on glass (3.0 × 10−3 Ω cm), because of the formation of textured grains with the c-axis aligned with respect to the sapphire surface, as confirmed by XRD. The surface morphology of the films on glass and sapphire was compared using scanning tunneling microscopy (STM) and scanning electron microscopy (SEM), which showed similar grain sizes on each substrate, suggesting that the dif.
Always available via WhatsApp: Mapping everyday boundary work practices and privacy negotiations

Messaging apps such as WhatsApp collapse temporal and spatial distances and enable continuous interactions. At the same time, messaging apps blur boundaries by default and contribute to the blending of different relational contexts as well as the collapsing of absence and presence. Whereas existing studies have mainly focused on the blurring of boundaries between work and private life, this study expands beyond the personal/professional binary and considers boundary work in more nuanced relational contexts. In order to provide a better understanding of boundary work within messaging practices, we conducted interviews and focus groups with employees from a variety of Dutch workplaces, and with participants of WhatsApp neighborhood crime prevention groups. Our findings highlight two forms of boundary work strategies. First, respondents purposefully tinker with WhatsApp features to manage the boundaries between absence and presence. Second, they use smartphone and WhatsApp functionalities to carefully construct segmentations between different contexts. The meaning of particular contexts, the materiality of messaging apps, and technical know-how play a crucial role in these boundary-sculpting practices. The importance of our study is in noting how the ongoing contradictions of messaging practices—being always available but always negotiating that availability—affect everyday experiences of freedom, privacy, and autonomy in significant ways.
Possible Power Quality Ancillary Services in Low-Voltage Grids Provided by the Three-Phase Damping Control Strategy

The share of renewable energy is increasing because of environmental concerns and favorable economic conditions. The majority of the distributed energy resources, connected to the low-voltage grid, are inverter-connected units. These inverters are controlled by using specially developed control strategies to determine the power injection between the primary source and the grid. In the past, the connection of distributed energy resources was based on the connect-and-forget principle, but this approach leads to severe power quality problems. Nowadays, more sophisticated control strategies need to be developed, so that ancillary services can be provided to the distribution system operator, which will allow further increase of renewable share in the distribution grids. This article examines the technical capabilities of the three-phase damping control strategy to provide ancillary services to the distribution system operator. Besides the three-phase damping control strategy, the article also compares the classical positive-sequence control strategy. Active power drooping and reactive power exchange are combined with these control strategies and the effect on the annual energy production, power quality, and grid performance is assessed. The simulations are conducted on a Matlab/OpenDSS platform in a time series simulations.
Benchmarking operational performance of buildings by text mining tenant surveys

Facility managers of large commercial and institutional buildings periodically collect text-based survey data from their tenants. While these large and amorphous datasets contain valuable information to benchmark operational performance and identify anomalies, it is time and resource-intensive to hire employees to read and analyze the datasets and extract insightful information from them. This paper presents a natural language processing-based methodology to extract operational insights from tenant survey databases. It also incorporates the verification of extracted complaint patterns using computerized maintenance management systems (CMMS) on a smaller scale. Tenant survey databases are comprised of free-text responses from tenants regarding annual/bi-annual survey responses that building managers request as a source of solicited feedback. CMMS databases consist of unsolicited complaints that are logged by tenants who are under discomfort/dissatisfaction with no additional prompt from a building operator/manager. The effectiveness of this methodology is demonstrated by gaining operational insights from tenant feedback gathered using survey data from a large office building in Ottawa, Canada. Different algorithms for sentiment analysis, association rule mining, and topic modeling are employed in the analysis to consolidate the textual data into common thermal and maintenance complaint categories. The accuracy of different text analytics algorithms is compared, and their effectiveness in analyzing tenant survey responses is discussed. Patterns of unsolicited tenant work order requests are contrasted to those observed in the survey responses. The results indicate that the floors that frequently submit work order requests are also likely to submit a large number of negative survey responses.
Thiocyanate and thiol self-assembling process on platinum investigated by means of sum-frequency generation

In the field of self-assembled monolayers (SAMs), recent works have shown that thiocyanate functions seem to be a good alternative to the use of thiols groups for adsorption on gold surfaces. In order to check if this is also valid for platinum substrates, we use Sum-Frequency Generation spectroscopy (SFG) to study two similar SAMs: decanethiol (DT) and decyl thiocyanate (DTCN) adsorbed on platinum surfaces. By comparing the intensities of the methyl/methylene vibration modes, we can conclude that the DTCN SAMs are less ordered than the DT ones. These effects are related to the SAMs quality which depends on the molecular packing. In order to confirm these assumptions, we use other techniques of surface characterisation like Scanning Tunneling Microscopy (STM) and X-Ray Photoelectron Spectroscopy (XPS). This last one shows that DTCN SAMs are partially composed of cyanide free groups lying on the surface. Finally, we propose an adsorption mechanism for thiocyanate-based monolayers.
Técnicas in situ de baixo custo em eletroquímica: a microbalança a cristal de quartzo

Among in situ techniques, the electrochemical quartz crystal microbalance (EQCM) is a powerful tool for the study of electrochemical reactions that produce mass changes in the electrode/solution interface. This review present some systems in which the EQCM combined with classical electrochemical techniques, gives relevant information for understanding the charge transport process at a molecular level. The aim of this review is to do a brief description of experimental arrangements, with emphasis on some special cares that must be considered by the users. Secondly, some chosen electrochemical systems where the technique was successfully applied are discussed. Finally, a brief analysis of electroacoustic impedance experiments was done in order to show when the Sauerbrey equation can be used.
Impact of Physiological State on Surface Thermodynamics and Adhesion of Pseudomonas aeruginosa

A quantitative understanding of microorganism migration in geological formations is critical to predict the dissemination of microorganisms in the environ ment and to evaluate the efficacy of microbially mediated in situ pollutant degradation. The key event that retards the movement of microorganisms in the saturated zone with respect to the convective water flow is the interaction between microorganisms and the matrix surfaces. This interaction may result in adhesion and concomitant retardation. Interactions are determined by the surface thermodynamics of the microorganism and the matrix. Whereas the nature of the matrix substratum surface may be considered temporally invariant, the nature of bacterial cell surfaces is a function of its physiological state. The work presented here explored quantitatively the impact of the physiological state of Pseudomonas aeruginosa Olin on its surface thermodynamic characteristics and its adhesion to dolomite. Lewis acid/base (hydrophobic), Lifshitz−van der Waals (elec.
Queering postcolonial travel writing

ABSTRACT Beginning with contemporary calls to decolonise travel writing, this article considers the intersection of race and sexuality in the genre. Why is the analysis of postcolonial travel writing so straight? Why is the analysis of queer travel writing so white? By answering these questions simultaneously, the article argues for the creation of a space from which we can understand how single-issue approaches to identity politics fail to take account of structural forms of homophobia and racism. Acknowledging their structural manifestations through the history of colonialism should advance an understanding of how and why some of the most historically queer-inclusive and diverse places in the world have come to be represented as the most hostile to queers in travel writing.
Effect of Sitagliptin and Glimepiride on Pancreatic Beta-Cells during the Treatment of Type-2 Diabetic Mellitus by Statistical Analysis

Aim: The study aimed to analyze the effect of Sitagliptin with Glimepiride during the treatment to improve pancreatic beta-cells in T2DM patients. Beta cells are type of cell found in pancreatic islet and also synthesize, secrete the insulin and amylin. Sitagliptin is found to be maintaining the betacells function and glycaemic control in T2DM patients. Place and Duration of Study: Sample: This study open label randomized T2DM patients, study was conducted at the, Felix multi-specialty hospital, Noida U.P with enrolled patients from 1 st Oct, 2017 to 30 st Sept, 2019. Methodology: Randomly diabetes mellitus type-2 (T2DM) patients’ data is collected (110patients) for statistical analysis. For this study T2DM patients enrolled with age of 30-60 years, treated with Original Research Article Joshi et al.; JPRI, 32(29): 76-83, 2020; Article no.JPRI. 63003 77 Sitagliptin and Glimepiride once a day. The baseline of HbA1c >7.0% to <10.5% thus, the performed student t-test is to find out the significance role. Results: The 110 patients are distributed in two groups: one Sitagliptin user group (n=62) and second Glimepiride user group (n=43). The sitagliptin treatments may also protect also beta cells as pancreas may not able to regenerate beta cell. Conclusion: The sitagliptin treatments may also protect beta cells as pancreas may not able to regenerate beta cell.
ASSESSMENT OF THE PRECISION OF A SMART-PHONE POLE PHOTOGRAMMETRY FOR A SECOND-ORDER CLIFF SURFACE DEFORMATION STUDIES

Abstract. Coastal cliff is almost a vertical elongated structure with a wave-cut notch and a landslip. Cliffs are geological formations with an almost unpredictable and unstoppable detachment between constitutes formations. Due to health, safety, environmental, and military restrictions, there are more regulations and restrictions on the use of drones. There are also the issues of portability and high cost for the purchase of hybrid drones and Terrestrial Laser Scanners (TLS). These negate the regular monitoring of the coastal cliff. This research develops a rapid, low-cost, and precise digital photogrammetry methodology for the continuous monitoring of the cliff by using the pole as the platform and a mobile phone as a sensor. The most practical vertical camera angle, image overlaps, survey distance to the cliff, and realistic time range for surveys are all determined from the basic surveying principles. Precise geometrically related point clouds generated are with or without the Global Navigation Satellite Systems (GNSS). The standard deviation for “alignment and surface deviation” at every point on each point cloud is ± 0.05 m in the Northing and ± 0.12 m on the Easting’s for the self-calibrated digital camera and without the use of GNSS control points. With the GNSS controls, the maximum deviation in the XYZ coordinates is ± 5 cm. Change analysis performed identifies areas of cut, fill, and the segment of threats in all point clouds. The photogrammetric technique developed is very cheap, simple, and reliable with minimum labor. The results obtained indicate the applicability of this methodology for second-order cliff Deformation study.
Hindrance to Benefit from the Potential Sources of Finance to Enhance the Growth of Small and Medium Size Enterprises in South Africa

: Small and Medium Size Enterprises are increasing playing an important role in economic development of most countries all over the world nowadays. For these small businesses to grow and be sustainable, they require sufficient capital in the form of financial resources to go operational because the lack of funding or access to finance could hamper their growth. The lack of access to finance has been reported to be one of the major causes of small business failure and discontinuity in South Africa. The purpose of this study is to identify the available sources of financial support for the growth of SMEs in South Africa. The study anticipates to find out why despite government’s effort to offer financial support for the growth of the SME sector, the rate of small business failure and discontinuity in South Africa is still one of the highest in the world. A qualitative methodological approach was utilized and interviews were conducted on SME managers on the subject under investigation. It was found that most SME managers in South Africa are ignorant about available sources of finance offered by government to boost the sector. It is imperative for the relevant authorities to revise and improve on the means and mechanisms used to support SMEs such that all small business managers are aware of the availability of this assistance and where and how to access it. In this regard, the government need to set up education and training facilities in different communities where intending and existing small business managers would be educated on the available sources of finance and how to access this funding to start up and grow their businesses.
PHOSPHORUS CHEMISTRY IN THE SHOCKED REGION L1157 B1

We study the evolution of phosphorus-bearing species in one-dimensional C-shock models. We find that the abundances of P-bearing species depend sensitively on the elemental abundance of P in the gas phase and on the abundance of N atoms in the pre-shock gas. The observed abundance of PN and the non-detection of PO toward L1157 B1 are reproduced in C-shock models with shock velocity v = 20 km s−1 and pre-shock density n(H2) = 104–105 cm−3, if the elemental abundance of P in the gas phase is ∼10−9 and the N-atom abundance is n(N)/nH ∼10−5 in the pre-shock gas. We also find that P-chemistry is sensitive to O- and N-chemistry because N atoms are destroyed mainly by OH and NO. We identify the reactions of O-bearing and N-bearing species that significantly affect P-chemistry.
Taxing Informality: Compliance and Policy Preferences in Urban Zambia

Abstract What drives tax compliance among informal workers, and how does compliance affect their policy preferences? Informal workers in developing countries encounter multiple taxes levied by government authorities and non-state actors. Using an original survey of approximately 800 informal workers in Lusaka, Zambia, this paper shows that compliance is tied to the governance setting where workers operate. In cooperative markets, compliance is higher where services are better and where trust in market leaders is stronger. Yet, in markets overseen by the city council, revenue collection capacity is more relevant. This suggests that the drivers of compliance can vary depending on the routes of accountability between tax payers, revenue collectors, and service providers. A vote choice experiment further reveals that regardless of market type, those who pay taxes are more likely to favour a politician interested in improving market services rather than one campaigning to improve the city’s schools and health clinics. The results suggest that even within the informal sector, the process of paying taxes affects policy preferences and shapes citizens’ preferences for elected leaders who espouse a platform most congruent with their own priorities.
A METHOD FOR FINDING CRITICAL PATH WITH SYMMETRIC OCTAGONAL INTUITIONISTIC FUZZY NUMBERS

The concept of this paper represents finding fuzzy critical path using octagonal fuzzy number. In project scheduling, a new method has been approached to identify the critical path by using Symmetric Octagonal Intuitionistic Fuzzy Number (SYMOCINTFN). For getting a better solution, we use the fuzzy octagonal number rather than other fuzzy numbers. The membership functions of the earliest and latest times of events are by calculating lower and upper bounds of the earliest and latest times considering octagonal fuzzy duration. The resulting conditions omit the negative and infeasible solution. The membership function takes up an essential role in finding a new solution. Based on membership function, fuzzy number can be identified in different categories such as Triangular, Trapezoidal, pentagonal, hexagonal, octagonal, decagonal, hexa decagonal fuzzy numbers etc.
Mitigation of N2O emissions from grassland by nitrification inhibitor and Actilith F2 applied with fertilizer and cattle slurry

Abstract. Nitrous oxide (N2O) is involved in both ozone destruction and global warming. In agricultural soils it is produced by nitrification and denitrification mainly after fertilization. Nitrification inhibitors have been proposed as one of the management tools for the reduction of the potential hazards of fertilizer‐derived N2O. Addition of nitrification inhibitors to fertilizers maintains soil N in ammonium form, thereby gaseous N losses by nitrification and denitrification are less likely to occur and there is increased N utilization by the sward. We present a study aimed to evaluate the effectiveness of the nitrification inhibitor dicyandiamide (DCD) and of the slurry additive Actilith F2 on N2O emissions following application of calcium ammonium nitrate or cattle slurry to a mixed clover/ryegrass sward in the Basque Country. The results indicate that large differences in N2O emission occur depending on fertilizer type and the presence or absence of a nitrification inhibitor. There is considerable scope for immediate reduction of emissions by applying DCD with calcium ammonium nitrate or cattle slurry. DCD, applied at 25 kg ha–1, reduced the amount of N lost as N2O by 60% and 42% when applied with cattle slurry and calcium ammonium nitrate, respectively. Actilith F2 did not reduce N2O emissions and it produced a long lasting mineralization of previously immobilized added N.
Multi-Class Imbalance in Text Classification: A Feature Engineering Approach to Detect Cyberbullying in Twitter

Twitter enables millions of active users to send and read concise messages on the internet every day. Yet some people use Twitter to propagate violent and threatening messages resulting in cyberbullying. Previous research has focused on whether cyberbullying behavior exists or not in a tweet (binary classification). In this research, we developed a model for detecting the severity of cyberbullying in a tweet. The developed model is a feature-based model that uses features from the content of a tweet, to develop a machine learning classifier for classifying the tweets as non-cyberbullied, and low, medium, or high-level cyberbullied tweets. In this study, we introduced pointwise semantic orientation as a new input feature along with utilizing predicted features (gender, age, and personality type) and Twitter API features. Results from experiments with our proposed framework in a multi-class setting are promising both with respect to Kappa (84%), classifier accuracy (93%), and F-measure (92%) metric. Overall, 40% of the classifiers increased performance in comparison with baseline approaches. Our analysis shows that features with the highest odd ratio: for detecting low-level severity include: age group between 19–22 years and users with <1 year of Twitter account activation; for medium-level severity: neuroticism, age group between 23–29 years, and being a Twitter user between one to two years; and for high-level severity: neuroticism and extraversion, and the number of times tweet has been favorited by other users. We believe that this research using a multi-class classification approach provides a step forward in identifying severity at different levels (low, medium, high) when the content of a tweet is classified as cyberbullied. Lastly, the current study only focused on the Twitter platform; other social network platforms can be investigated using the same approach to detect cyberbullying severity patterns.