Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic generation of lexica for sentiment polarity shifters

Abstract Alleviating pain is good and abandoning hope is bad. We instinctively understand how words like alleviate and abandon affect the polarity of a phrase, inverting or weakening it. When these words are content words, such as verbs, nouns, and adjectives, we refer to them as polarity shifters. Shifters are a frequent occurrence in human language and an important part of successfully modeling negation in sentiment analysis; yet research on negation modeling has focused almost exclusively on a small handful of closed-class negation words, such as not, no, and without. A major reason for this is that shifters are far more lexically diverse than negation words, but no resources exist to help identify them. We seek to remedy this lack of shifter resources by introducing a large lexicon of polarity shifters that covers English verbs, nouns, and adjectives. Creating the lexicon entirely by hand would be prohibitively expensive. Instead, we develop a bootstrapping approach that combines automatic classification with human verification to ensure the high quality of our lexicon while reducing annotation costs by over 70%. Our approach leverages a number of linguistic insights; while some features are based on textual patterns, others use semantic resources or syntactic relatedness. The created lexicon is evaluated both on a polarity shifter gold standard and on a polarity classification task.
Perceived Social Disconnectedness, Low Frustration Tolerance and Coping with Uncertainty in Mothers of Children Diagnosed with Cerebral Palsy

The present study was conducted to investigate the relationship among perceived social disconnectedness, low frustration tolerance and coping with uncertainty in mothers of children diagnosed with cerebral palsy. The current study used correlational research design. Hundred participants were collected through non-probability purposive sampling technique. Data was drawn from both government and private special education centers of Lahore within six months. Perceived social disconnectedness scale, low frustration tolerance checklist and coping with uncertainty scale were used to measure variables under study. Correlational analysis showed highly significant negative association of social disconnectedness and low frustration tolerance with coping with uncertainty. Findings also showed significant predicting role of social disconnectedness and low frustration tolerance on coping with uncertainty in mothers of children diagnosed with cerebral palsy. Keywords: Perceived Social Disconnectedness, Low Frustration Tolerance and Coping with Uncertainty, CP Child’s Mothers
Efficiency of Plant Growth Promoting Rhizobacteria (PGPR) consortia for modulation of phytohormone and better nutrient acquisition

Mogal Chaitanya S. , Jha Sanjay, Suthar Harish, Parekh Vipulkumar and Rajkumar B. K. 1. Department of Plant Molecular Biology and Biotechnology, N. A. University, Navsari 396450, Gujarat, India. 2. ASPEE Shakilam Biotechnology Institute, Surat, N. A. University, Navsari -395 007, Gujarat, India. 3. Centre of Excellence on Post-Harvest Technology, N. A. University, Navsari, Gujarat, India. 4. Department of Basic Science and Humanities, ACHF. , N. A. University, Navsari – 396456, Gujarat, India. 5. Main Cotton Research station, NAU, Surat, Gujarat – 395 007, India.
Tracking Power System State Evolution with Maximum-correntropy-based Extended Kalman Filter

This paper develops a novel approach to track power system state evolution based on the maximum correntropy criterion, due to its robustness against non-Gaussian errors. It includes the temporal aspects on the estimation process within a maximum-correntropy-based extended Kalman filter (MCEKF), which is able to deal with both nonlinear supervisory control and data acquisition (SCADA) and phasor measurement unit (PMU) measurement models. By representing the behavior of the state variables with a nonparametric model within the kernel density estimation, it is possible to include abrupt state transitions as part of the process noise with non-Gaussian characteristics. Also, a novel strategy to update the size of Parzen windows in the kernel estimation is proposed to suppress the effects of suspect samples. By properly adjusting the kernel bandwidth, the proposed MCEKF keeps its accuracy during sudden load changes and contingencies, or in the presence of bad data. Simulations with IEEE test systems and the Brazilian interconnected system are carried out. The results show that the method deals with non-Gaussian noises in both the process and measurement, and provides accurate estimates of the system state under normal and abnormal conditions.
Modélisation de la distribution potentielle de Cedrus atlantica Manetti au Maroc et impacts du changement climatique

Climate change is a major challenge for public policies and the management of natural areas. Understanding its impacts on forest ecosystems is essential to undertake any policy-making for their conservation and preservation of their ecosystem services. This study focused on modelling the potential distribution of Cedrus atlantica Manetti, by identifying the environmental variables governing its distribution and defining the geographical extent of areas favourable to its presence in past, present and future climatic conditions. The study was based on the Maximum Entropy Principle. Mapping of the potential areas of distribution showed the sensitivity of this cedar species to past climate changes and suggests that bioclimatically suitable zones for the development of this species under current climatic conditions cover a large area (four times the current area of occurrence of the species). However, the potential future distribution of the species seems to be dependent on certain specific sites and is liable to be negatively affected by future climatic conditions. Our results show the scale of the projected shrinking of areas suitable for this cedar species in the future, which could have a considerable impact on the functions and services provided by this ecosystem and worsen the risks of local extinction. They also make up a useful decision-support tool for the management of this valuable forest ecosystem to ensure its conservation and avoid the risk of extinction of this locus of biodiversity in Morocco.
Modeling In-Vehicle VOCs Distribution from Cabin Interior Surfaces under Solar Radiation

In-vehicle air pollution has become a public health priority worldwide, especially for volatile organic compounds (VOCs) emitted from the vehicle interiors. Although existing literature shows VOCs emission is temperature-dependent, the impact of solar radiation on VOCs distribution in enclosed cabin space is not well understood. Here we made an early effort to investigate the VOCs levels in vehicle microenvironments using numerical modeling. We evaluated the model performance using a number of turbulence and radiation model combinations to predict heat transfer coupled with natural convection, heat conduction and radiation with a laboratory airship. The Shear–Stress Transport (SST) k-ω model, Surface-to-surface (S2S) model and solar load model were employed to investigate the thermal environment of a closed automobile cabin under solar radiation in the summer. A VOCs emission model was employed to simulate the spatial distribution of VOCs. Our finding shows that solar radiation plays a critical role in determining the temperature distribution in the cabin, which can increase by 30 °C for directly exposed cabin surfaces and 10 °C for shaded ones, respectively. Ignoring the thermal radiation reduced the accuracy of temperature and airflow prediction. Due to the strong temperature dependence, the hotter interiors such as the dashboard and rear board released more VOCs per unit time and area. A VOC plume rose from the interior sources as a result of the thermal buoyancy flow. A total of 19 mg of VOCs was released from the interiors within two simulated hours from 10:00 am to noon. The findings, such as modeled spatial distributions of VOCs, provide a key reference to automakers, who are paying increasing attention to cabin environment and the health of drivers and passengers.
Utility of stabilized nitrogen fertilizers to reduce nitrate leaching under optimal management practices

Background: The inadequate application of nitrogen (N) to crops has increased the reactive N in the atmosphere and in the surface and ground waters. Stabilized N-fertilizers with nitrification (NI) and urease (UI) inhibitors have been proposed to reduce these environmental problems without affecting or even increasing crop productivity. Aim: The objective of this study was to evaluate, in a maize–maize–wheat rotation, if the use of the NI 3,4-dimethylpyrazole phosphate (DMPP) and the UIs N-(n-butyl) thiophosphoric triamide (NBPT) and monocarbamide dihydrogen sulfate (MCDHS) reduces N leaching without compromising yield under optimal management of N and water. Methods: The experiment was conducted in 24 drainage lysimeters with two soil types with contrasting water holding capacity under Mediterranean irrigated conditions. The fertilizer treatments were urea, urea with DMPP, urea with NBPT, and urea with MCDHS. For the maize crop, conventional fertilizer application was split into 6-and 13-leaf stages, whereas stabilized fertilizers were applied as a single application at the 6-leaf stage. All fertilizer treatments were applied at late tillering in the wheat crop. Results: The soil mineral N was measured at the beginning and the end of each crop season, but no differences were found among fertilizer treatments. Differences in the volume of water drained or the cumulative mass of nitrate depending on the fertilizer were not significant (three-year treatment average of 200 L m –2 and 22 kg N ha –1 in the Deep soil, and 334 L m –2 and 40 kg N ha –1 in the Shallow type, respectively). No consistent significant differences were found in agronomic parameters (chlorophyll measurements, yield, and total N uptake) between the fertilizer treatments. Conclusion: Based on the results, the use of stabilized N-fertilizer could be recommended to reduce the number of N applications in maize without compromising grain yield but with no advantages to reduce nitrate-leaching losses if N rates are managed properly under efficient irrigation management practices.
The Impact of Entrepreneurial Orientation of Social Entrepreneurship Towards Social Capital and Organization Performance: A Case Study Of Precious One

Social enterprise which empowers disabilities is growing in Indonesia. Precious One (“P-One”) is one of them. Started as a non-profit organization, P-One has been successfully converting itself into a profitable social enterprise. This study is fully focused on P-One because there’s concern from the founder on the organization performance, where even though they are growing and profitable, it’s not as fast as they are expected. Also, there is lack of literature on the relationship between social entrepreneurship, social capital, and organization performance. Therefore, this study aims to investigate the impact of social entrepreneurship and social capital on the organizational performance and to provide recommendation to the founder. The study employed mixed-method sequential explanatory strategy. This approach is performed by exercising quantitative method and followed by qualitative method. The data were gathered through questionnaires and interviews, and were then examined to see the causal relationship between defined variables by using Structural Equation Model (SEM). The research found that social entrepreneurship has significant influence on social capital and organizational performance, and social capital has significant impact on organization performance. This study provides an understanding on the correlation between social entrepreneurship, social capital, and organization performance, especially for social enterprise which empowers disability. Social entrepreneurs, especially P-One founder will have better understanding of the key factors which will impact on their performance. Further study shall expand the sampling size and add more variables in the research to generate more precise result. Including financial measurement as an indication of organization’s success would also be beneficial to give more accurate result.
Novel Perspective Coatings for the Optoelectronic Elements: Features of the Carbon Nanotubes to Modify the Surface Relief of BaF2 Materials

It is well known that the optimization of the basic properties of materials is related not only to changes of the substance of the material itself, but can also predict the change of their surface. In this regards, the search for, and study of, new nanostructured coatings based on the laser deposition method becomes extremely promising. Here, we used a laser-oriented deposition technique in order to place carbon nanotubes in a vertical position on the BaF2 surface to modify it. Such modification affected the increasing material transparency, connected with a decrease of the reflection via change the Fresnel losses; hydrophobicity and microhardness as well. Characteristics of the obtained material were studied via spectral analysis, AFM-method, wetting-angle measurements, microhardness estimations to support the possible covalent bonding between the carbon atoms and the interface materials atoms. Moreover, the quantum–chemical calculations completely confirmed the experimental results of the changes of electronic properties of BaF2 substrate after deposition of the CNTs. As the results novel optimized structure based on BaF2 is presented to be used in general optoelectronics, cosmos and laser technique as well.
“From Standing Rock to Palestine we are United”: diaspora politics, decolonization and the intersectionality of struggles

ABSTRACT This article analyses a form of diasporic activism that breaks the seeming duality between diasporic imaginaries and colonial realities, diasporas and refugees. By focusing on the Palestinian Youth Movement (PYM) it analyses a diasporic standpoint which is not confined to identity politics, nor to the Palestinian nationalist struggle of territorial liberation, but conceives of Palestine as one of the most visible, present-day materialisations of Western colonial modernity. The condition of this diasporic political subjectivity lies in what we call here an “intersectional ‘space of appearance’”: an affective multi-sited political space that exposes and makes visible the continuum of systems of subjugation and expropriation across liberal democracies and settler-colonial regimes, and the whiteness of mainstream activist spaces. This space encompasses key sites of Black, Indigenous, Arab and Muslim mobilization: from Ferguson to Standing Rock, from the Mexico-US border to Palestine and Palestinian camps, from Tunis to Paris.
Studies of photoionization dynamics of methylidyne, imidogen, and hydroxyl radicals at near-threshold photoelectron kinetic energies

We discuss results of theoretical studies of rotationally resolved photoelectron spectra of the CH, NH, and OH radicals, including predictions of zero-kinetic-energy (ZEKE) spectra for molecular ions produced via resonance enhanced multiphoton ionization. The influence of dynamical features such as Cooper minima, orbital evolution, and 1 mixing are examined for photoionization of the 3σ Rydberg orbital in these radicals. We also make specific predictions for the photoelectron spectra for each molecule within the context of current experimental capabilities.
Sustainable HRM as a Driver for Innovative Work Behaviour: Do Respect, Openness, and Continuity Matter? The Case of Lithuania

There is a widespread consensus in prior literature that innovative work behaviour is a crucial factor in enabling organisations to adapt to rapid changes, to gain a competitive advantage, and create a sustainable organisation. Despite its importance, knowledge about potential drivers of this behaviour is fragmented and inconsistent. As such, organisations may be restricted in their ability to innovate because they do not know how to induce the employees in a way that will encourage them to explore, generate, champion, and finally implement the ideas. Recently, human resource management (HRM) has been explored among potential drivers, considering it as primary means by which organisations can influence and shape the behaviours of employees. Despite the notion that HRM predicts innovative work behaviour, there is a lack in the literature of insights into the ways the organisations can stimulate behaviour by offering sustainability-focused HRM. Sustainable HRM refers to a new approach to people management with the focus on external business environment (openness), respect for the employee (respect), and balanced interests of employer and employee (continuity). Relying on the notion that organisations are gradually introducing sustainable HRM and trying to close the gap in the literature, the paper is designed to link a new approach to people management with innovative work behaviour. The aim of the paper is an initial assessment of whether sustainable HRM is a driver for innovative work behaviour. Disentangling four dimensions of innovative work behaviour makes it possible to determine whether sustainable HRM can stimulate different behaviour types linked to idea exploration, idea generation, idea championing, and idea implementation. The results of a preparatory survey of 306 employees working in Lithuanian companies showed that respect-oriented HRM and continuity-oriented HRM were positively related to innovative work behaviour and the appropriate dimensions (except for idea exploration in case of continuity-oriented HRM); meanwhile, there was no support for the relationship between openness-oriented HRM and innovative work behaviour. Overall, sustainable HRM was found to be a driver for enhancing innovative work behaviour and its dimensions.
Size distribution and lung deposition of particle mass generated by indoor activities

Particle inhalation is associated with adverse respiratory outcomes including death. Particle deposition in the respiratory tract and therefore the type and severity of health outcomes depend on size that varies by type and source. The size distribution of particle mass generated by indoor activities such as cooking, cleaning, visitors, smoking and candle/incense burning was monitored in this study using a real-time cascade impactor system was measured. Particle mass measurements allow for the direct estimation of dose. The KDEP lung deposition model was used to determine the fractional deposition of particle mass in lung regions in adult males and females for each indoor activity. The average dose rate was higher for cleaning, cooking and having visitors than that computed for hookah smoking, candle and incense burning. The deposition rates for females were higher than those measured for males during cleaning, cooking and visitors, while the male deposition rates were higher than those estimated for females during smoking and candle, incense burning. The majority of particles settled in the alveolar region of lungs in males, as compared to the extrathoracic region in females. Overall, this study demonstrated that exposures to different particle size distribution vary by sex, which may have implications for different health outcomes for males and females.
Uncertainty avoidance culture, cash holdings and financial crisis

This paper aims to investigate how the global financial crisis affects the relationship between uncertainty avoidance culture and corporate cash holdings. ,This study develops a research model in which cash holdings ratio is a function of post-crisis period dummy, Hofstede’s cultural dimension of uncertainty avoidance, their interactive term and control variables. The research sample includes 188,264 observations from 26,509 firms incorporated in 44 countries between 2003 and 2016. ,This study finds that the effect of uncertainty avoidance culture on firm cash holdings is stronger in the post-crisis period from 2008 to 2016. This effect is stronger for financially constrained firms. In addition, the research findings show that uncertainty avoidance culture is more effective in cash–cash flow sensitivity over the post-crisis period. ,Prior studies show that uncertainty avoidance culture positively affects corporate cash reserves. However, the authors only examine the effect of uncertainty avoidance culture on cash holdings in a static environment. This paper investigates this effect under the impact of the global financial crisis – an exogenous shock.
Leukocyte Sub Type Identification using Spline Interpolation and Graphical Analysis

T he automatic and computer assisted techniques for the categorisation of sub types of WBC’s in the medical field is highly essential for the accurate and faster disease diagnosis. This work involves the segmentation of the nucleus of the leukocyte from the cytoplasm using K-Means clustering algorithm followed by morphological operations which is further interpolated using Cubic spline technique based on a heuristic on the change of edge values. Through interpolation the new data points within the range of a known data limit is estimated. There are different techniques for interpolation which varies in accuracy and computational performance. The variation of graphs based on computed values of the norm of difference of derivative of two vectors is computed in this work. This provides the information for the categorisation of sub types of WBCs such as Eosinophils, Lymphocytes, Monocytes and Neutrophils.
Significance Of Epochs On Training A Neural Network

: Deep neural network (DNN), has shown an incredible success in the field of computer vision and in tasks such as classification, facial detection etc. But, accuracy of a model depends on a large number of parameters such as weights, bias, number of hidden layers, different kinds of activation function and hyperparameters. Epochs is a form of hyperparameter which plays an integral part in the training process of a model. The total number of epochs to be used help us decide whether the data is over trained or not. Recently, the performance of deep neural networks, have been improved by making use of pre-trained network architectures, and by the introduction of GPU-based computation and now recently we are even on the verge of training the models on TPU chips. However, there are many problems in the field of Deep Neural Network which concerns the training, back propagation, and customizing of the hyperparameters.
Distributed sliding mode control for leader‐follower formation flight of fixed‐wing unmanned aerial vehicles subject to velocity constraints

This paper considers the leader‐follower formation flight of fixed‐wing unmanned aerial vehicles (UAVs) subject to velocity constraints. A novel distributed sliding mode control law is proposed for each UAV, whose kinematics is described by a unicycle model with a saturated angular velocity and a bounded linear velocity within an interval. The designed control law of each follower UAV only uses its own information and the information of its leader UAV. Driven by the designed control law, the desired formation is achieved with rigorous proof, while the follower UAVs' constraints of both the linear and angular velocities are satisfied. Moreover, the follower's speed adjustment range is relaxed and not required to be strictly larger than their leaders'. Finally, numerical simulations are presented to verify the results.