Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying Expressions of Emotions and Their Stimuli in Text

Emotions are among the most pervasive aspects of human experience. They have long been of interest to social and behavioural sciences. Recently, emotions have attracted the attention of researchers in computer science and particularly in computational linguistics. Computational approaches to emotion analysis have also focused on various emotion modalities, but there is less effort in the direction of automatic recognition of the emotion expressed. Although some past work has addressed detecting emotions, detecting why an emotion arises is ignored. In this work, we explore the task of classifying texts automatically by the emotions expressed, as well as detecting the reason why a particular emotion is felt. We believe there is still a large gap between the theoretical research on emotions in psychology and emotion studies in computational linguistics. In our research, we try to fill this gap by considering both theoretical and computational aspects of emotions. Starting with a general explanation of emotion and emotion causes from the psychological and cognitive perspective, we clarify the definition that we base our work on. We explain what is feasible in the scope of text and what is practically doable based on the current NLP techniques and tools. This work is organized in two parts: first part on Emotion Expression and the second part on Emotion Stimulus. In emotion expression detection, we start with shallow methodologies, such as corpusbased and lexical-based, followed by deeper methods considering syntactic and semantic relations in text. First, we demonstrate the usefulness of external knowledge resources, such as polarity and emotion lexicons, in automatic emotion detection. Next, we provide a description of the more advanced features chosen for characterizing emotional content based on the syntactic structure of sentences, as well as the machine learning techniques adopted for emotion classification. The main novelty of our learning methodology is that it breaks down a problem into hierarchical steps. It starts from a simpler problem to solve, and uses what is learnt to extend the solution to solve harder problems. Here, we are learning emotion of sentences with one emotion word and we are extending the solution to sentences with more than one
Robust object tracking using kernalized correlation filters (KCF) and Kalman predictive estimates

Visual object tracking and detection is an advanced interdisciplinary research area which is crucial for many surveillance security applications. In this paper, we aim to track moving objects more accurately and significantly faster when compared to other approaches. This can be achieved through Kernalized Correlation Filters (KCF). The proposed work adopts a novel approach where the KCF filter is enhanced by integrating it with Kalman filter. The integrated Kalman based KCF (KKCF) tracker outperforms the traditional KCF by performing well for outlier or failure cases which is corrected through Kalman filter. Experimental results show the performance compared to KCF and other existing methods.
Integrated SCADA / DMS / OMS : Increasing Distribution Operations Efficiency

March-April 2009 Issue I SCADA SCADA systems are globally accepted as a means of real-time monitoring and control of electric power systems, particularly generation and transmission systems. RTUs (Remote Terminal Units) are used to collect analog and status telemetry data from field devices, as well as communicate control commands to the field devices. Installed at a centralized location, such as the utility control center, are front-end data acquisition equipment, SCADA software, operator GUI (graphical user interface), engineering applications that act on the data, historian software, and other components.
Trust, Truth, Status and Identity an Experimental Inquiry Trust, Truth, Status and Identity an Experimental Inquiry *

In an experiment involving a standard trust game and a costless signalling game, it is demonstrated that economically relevant norm-based behaviors (trust, reciprocity and truth-telling) vary with social identity. The experimental procedure induced two trivial social identities. In one version, a status difference was induced. The results permitted a succinct description of identity effects: subjects held own-group members to a higher standard; and high status subjects held everyone, including themselves, to a higher standard. To illustrate the " high status/high standards " phenomenon, subjects' " standards " were estimated from a simple identity model for a subset of the data.
Mesoporous magnetic hollow nanoparticles—protein carriers for lysosome escaping and cytosolic delivery

It is important for a controlled release system to determine whether nanoparticles can penetrate cell membranes and deliver protein into the nuclear or cytosolic compartments of cells, and thus function as carriers. Here, we prepared different functionalized mesoporous magnetic hollow nanoparticles (MMHs) and chose bovine serum albumin (BSA) as a model protein to detect the intracellular trafficking of MMHs. The results showed that MMHs modified with amino groups (AMMHs) were efficient in protein loading and that the loading was dependent on the pH, temperature and ionic strength. Furthermore, we found that the AMMHs not only transported BSA into the cells but also released the BSA carried into the nuclear or cytosolic compartments of the cells. In addition, the nanoparticles were biocompatible, and the encapsulation of BSA in AMMHs did not affect their bioactivity. Taken together, AMMHs are excellent carriers for releasing protein into the cytosol and nucleus, and they have the potential to be used in a controlled release system.
Semantic segmentation of urban scenes with a location prior map using lidar measurements

This paper proposes a method for jointly estimating road layout and segmenting urban scenes semantically by applying a relative location prior. The proposed method is based on the conjecture that some relevant elements in urban environments tend to be located in a predictable manner. This belief can be modeled as a location prior to help a segmentation algorithm infer latent labels in images more accurately. In order to apply these structural characteristics, a set of special coordinates, referred to as road-normal coordinates, are defined which are perpendicular to the road. These coordinates are determined by estimating the most fittable road layout based on a marginal probability obtained from an existing segmentation algorithm. All possible segments in an image are projected into the road-normal coordinates with the aid of depth information from sensor measurements, and the pre-trained location prior is applied to each segment as an additional potential of a conditional random field (CRF) model. The proposed method is evaluated on the publicly available KITTI dataset including images and corresponding 3D point clouds.
A Novel Compact Dual-Mode Filter Using Cross-Slotted Patch Resonator for Dual-Band Applications

A novel dual-mode BPF using cross-slotted patch resonator (CSPR) combined with a square etched slot to have dual-band performances is proposed and developed for hybrid and monolithic microwave and millimeter-wave integrated-circuit. Pair of unequal crossed slot is embedded in the center of lambda/4 patch resonator to generate a passband. When the widths of the crossed slots are different, the slots are as the perturbation element to generate two transmission zeros. Meanwhile, a square slot is introduced and tilted at the angle of 45deg within the center of the CSPR to tune the second resonant frequency over a wide frequency range for application in 2.4/5.2 GHz response. The measured result is in good agreement with the full-wave simulation result.
Quality of Work Life: A Dynamic Multidimensional Construct at Work Place - Part I

Quality of Work Life (QWL) has gained importance these days in every Organisation. Quality of Work Life is the degree to which members of a work organization are able to satisfy important personal need through their experiences in the organization.QWL has set into operation especially in terms of Employees perceptions of their physical and psychological well-being at work. It includes virtually every major issue that labor has fought for during the last two decades. The purpose of the present paper is to gain an insight into Quality of Work Life, its policies and practices in our present society and also attempted to describe a theoretical model of QWL in the Indian context. © 2013 Guru Journal Behavioral and Social sciences Work is an integral part of everyday life. Work is worship, work is hard working, and work is a challenge. For many, work is a necessary evil. On an average we spend around 10-12 hours daily in the work place. This should yield to a fulfillment of having done a task fruitfully, constructively and purposefully. At the end of the day it should give satisfaction and an eagerness to look forward to the next day. Organisation success is based on the highly motivated and committed team of Employees in the work place. Thus an attempt to integrate employee’s needs and well-being with an intention of improved productivity, greater work involvement, and higher levels of Job Satisfaction is Quality of Work Life. Quality of Work Life is philosophical which holds on a set of principles that people are the most important resource in the Organisation as they are trustworthy, responsible and capable of making contributions and that they should be treated with dignity and respect. Quality of Work Life is an umbrella term which includes many concepts. QWL means the sum total of values, both materials and non-materials, attained by the worker throughout his life. Robbins (1998), defined QWL as “a process by which an Organisation responds to Employees needs by developing mechanisms to allow them to share fully in making the decisions that design their QWL lives at work”. The intangibility, variability, and perish ability of the service process together with the volatility of customer expectations are some of the prominent dimensions that inhibit the delineation of the phenomenon of QWL. Interestingly, managers, commentators and social scientists have either avoided the task or have been unable to develop a contemporary service QWL criteria during the past three decades since the illumination of the enigma by Seashore (1975), who advanced a conceptualization of QWL should consider the ongoing changes of workers' aspirations as a result of their interactions with the wider socio cultural environment during their life courses. Further advice was given by Davis (1983), who has defined QWL as 'the quality of the relationship between Employees and the total working environment, with human dimensions
Modification of Host Lipid Raft Proteome upon Hepatitis C Virus Replication*S

Hepatitis C virus (HCV) replication complex resides in detergent-insoluble subcellular domains or lipid rafts. We used two proteomics approaches to characterize the protein content of lipid rafts isolated from Huh7 cells and its modification upon HCV replication. Using two-dimensional electrophoresis and mass spectrometry, we identified ∼100 protein spots in the isolated lipid rafts; among them, 39 were reproducibly modified in HCV replicon cell lines as compared with control cell lines. We also used stable isotope labeling by amino acids in cell culture (SILAC) combined with one-dimensional electrophoresis separation and mass spectrometry. Using this approach, we identified 1036 individual proteins based on peptides selected with at least 95% confidence; among them, 413 proteins were identified with at least two peptides. Quantification analysis identified 150 proteins modified by at least 2.5-fold (110 up-regulated and 40 down-regulated) in HCV-replicating cells compared with controls. Protein identifications and quantifications obtained by both proteomics approaches were largely concordant. Modulated proteins included a majority of proteins involved in vesicular and protein trafficking and in cell signaling. Remarkably for a large number of proteins, their up-regulation in lipid rafts of HCV replicon cells was due to their relocalization. By using small interfering RNAs directed to the modulated small GTPases Cdc42 and RhoA, we observed an increase in HCV replication, whereas reduction of syntaxin 7 expression resulted in decreased replication of HCV. Our findings indicate that protein subcellular relocalization occurs in HCV-containing cells that can directly affect HCV replication.
Negotiation as an Interaction Mechanism for Deciding App Permissions

On the Android platform, apps make use of personal data as part of their business model, trading location, contacts, photos and more for app use. Few people are particularly aware of the permission settings or make changes to them. We hypothesize that both the difficulty in checking permission settings for all apps on a device, along with the lack of flexibility in deciding what happens to one's data, makes the perceived cost to protect one's privacy too high. In this paper, we present the preliminary results of a study that explores what happens when permission settings are more discretional at install time. We present the results of a pilot experiment, in which we ask users to negotiate which data they are happy to share, and we show that this results in higher user satisfaction than the typical take-it-or-leave-it setting. Our preliminary findings suggest negotiating consent is a powerful interaction mechanism that engages users and can enable them to strike a balance between privacy and pricing concerns.
The Upregulation of Genomic Imprinted DLK1-Dio3 miRNAs in Murine Lupus Is Associated with Global DNA Hypomethylation

Epigenetic factors such as DNA methylation and microRNAs (miRNAs) are now increasingly recognized as vital contributors to lupus etiology. In this study, we investigated the potential interaction of these two epigenetic factors in lupus-prone MRL-lpr mice. We recently reported dysregulated expression of miRNAs in splenocytes of MRL-lpr mice. Here, we report that a majority of the upregulated miRNAs in MRL-lpr mice is located at the genomic imprinted DLK1-Dio3 domain. Further, we show a differential magnitude of upregulation of DLK1-Dio3 miRNA cluster in purified splenic CD4+ T, CD19+ B, and splenic CD4-CD19- cells from MRL-lpr lupus mice when compared to control MRL mice. MRL-lpr splenocytes (especially CD19+ and CD4-CD19- subsets) were hypomethylated compared to cells from control, MRL mice. We further show that deliberate demethylation of splenocytes from control MRL mice, but not from MRL-lpr lupus mice, with specific DNA methylation inhibitor 5-Aza-2’-deoxycytidine significantly augmented DLK1-Dio3 miRNAs expression. These findings strongly indicate that the upregulation of DLK1-Dio3 miRNAs in lupus splenic cell subsets is associated with reduced global DNA methylation levels in lupus cells. There was a differential upregulation of DLK-Dio3 miRNAs among various demethylated splenic cell subsets, which implies varied sensitivity of DLK1-Dio3 miRNA cluster in these cell subsets to DNA hypomethylation. Finally, inhibition of select DLK1-Dio3 miRNA such as miR-154, miR-379 and miR-300 with specific antagomirs significantly reduced the production of lupus-relevant IFNγ, IL-1β, IL-6, and IL-10 in lipopolysaccharide (LPS) activated splenocytes from MRL-lpr mice. Our study is the first to show that DNA methylation regulates genomic imprinted DLK1-Dio3 miRNAs in autoimmune lupus, which suggests a connection of DNA methylation, miRNA and genomic imprinting in lupus pathogenesis.
Using Class-Based Reasoning to Improve the Accuracy of Symbolic Rules in a Hybrid Possibilistic Approach

A common strategy used in rule inductive algorithms is to assign an unseen example, not covered by any rule, to a static default class fixed at the inductive time and not updated thereafter. This paper presents a rule-based system using a Hybrid Possibilistic Inference Mechanism, which combines a Possibilistic Rule-based with a Class-based Reasoning. The inference process gives pre-eminence to Possibilistic Rule-based Reasoning, which selects the most suitable rule used to reach a conclusion in response to input facts. The proposed approach encodes relationship dependencies existing between facts and rules through Possibilistic Networks and quantifies these relationships by means of two measures: possibility and necessity. If the Possibilistic Rule-based Reasoning is blocked due the lack of satisfied rules, the Hybrid Possibilistic Inference Mechanism favours the Possibilistic Class-based Reasoning, which is the main contribution of this paper as it dynamically assigns a default class to each specific fact base not covered by any rule. To do so, we use a possibilistic network which searches for the most plausible class by quantifying relationship between facts and classes through a distance measure. Experimentation results demonstrate that the hybrid approach leads to accuracy improvement of the system.
National culture dimensions: The perpetuation of cultural ignorance

The Hofstede and GLOBE national culture dimensions are commonly used by business and management educators, researchers and practitioners to understand cultural differences between countries. However, there are fundamental problems in using these dimensions to learn about cross-cultural differences. First, there is a lack of face validity in many of the items used to determine the culture scores. Second, national culture scores for similar dimensions across the two models for common countries are either unrelated or negatively related, and for dissimilar dimensions are often more strongly related than for the similar dimensions. A lack of face, convergent and discriminant validity seriously undermines the credibility of the dimension scores in representing the culture phenomena that they claim to represent. Hence, using these scores to infer the broader characteristics of societies, individuals and organizations is invalid and the managerial prescriptions based on such research are misleading. As cross-cultural learning in management is largely shaped by national culture models, the blind faith in these models is perpetuating cultural ignorance.
Telehealth Modalities for Group Therapy: Comparisons to In-Person Group Therapy

Major disparities in health across the globe are largely a function of varying access to services (Gonzales & Papadopoulos, 2010). Though there are countless individuals worldwide with psychological distress that may benefit from therapy, there likely will never be enough time or clinicians available to address the great need. For those who would potentially participate in mental health services but do not, there are many external barriers to successfully engaging in traditional in-person modalities. These include but are not limited to: insufficient funds, lack of transportation, mobility-reducing physical health issues, and shortages of clinicians or facilities in the region. Those who most often encounter these barriers and do not get adequate care, such as International Journal of Group Psychotherapy, 66: 145–150, 2016 Copyright © The American Group Psychotherapy Association, Inc. ISSN: 0020-7284 print/1943-2836 online DOI: 10.1080/00207284.2015. 1096109
In Vivo Transcriptional Activation Using CRISPR/Cas9 in Drosophila

A number of approaches for Cas9-mediated transcriptional activation have recently been developed, allowing target genes to be overexpressed from their endogenous genomic loci. However, these approaches have thus far been limited to cell culture, and this technique has not been demonstrated in vivo in any animal. The technique involving the fewest separate components, and therefore the most amenable to in vivo applications, is the dCas9-VPR system, where a nuclease-dead Cas9 is fused to a highly active chimeric activator domain. In this study, we characterize the dCas9-VPR system in Drosophila cells and in vivo. We show that this system can be used in cell culture to upregulate a range of target genes, singly and in multiplex, and that a single guide RNA upstream of the transcription start site can activate high levels of target transcription. We observe marked heterogeneity in guide RNA efficacy for any given gene, and we confirm that transcription is inhibited by guide RNAs binding downstream of the transcription start site. To demonstrate one application of this technique in cells, we used dCas9-VPR to identify target genes for Twist and Snail, two highly conserved transcription factors that cooperate during Drosophila mesoderm development. In addition, we simultaneously activated both Twist and Snail to identify synergistic responses to this physiologically relevant combination. Finally, we show that dCas9-VPR can activate target genes and cause dominant phenotypes in vivo, providing the first demonstration of dCas9 activation in a multicellular animal. Transcriptional activation using dCas9-VPR thus offers a simple and broadly applicable technique for a variety of overexpression studies.
Determining the Nonexistence of Evasive Trajectories for Collision Avoidance Systems

It is of utmost importance for automatic collision avoidance systems to correctly evaluate the risk of a current situation and constantly decide, if and what kind of evasive maneuver must be initiated. Most motion planning algorithms find such maneuver by searching a deterministic or random subset of the state space or input space. These approaches can be designed to be complete in the sense that they converge to a feasible solution as sampling is made denser. However, they are not suitable to determine whether a solution exists. In this paper, we present an approach which overapproximates the reachable set of the host vehicle considering workspace obstacles. Thus, it provides an upper bound of the solution set and it can report if no solution exists. Furthermore, the calculated set can be used for guiding the search of an underlying planning algorithm to find a solution as each trajectory of the host vehicle is ensured to be contained within this set.
New game, new goal posts: A recent history of timing closure

Timing closure is the most critical phase of modern system-on-chip implementation: without timing closure, there is no tapeout. Timing closure is the end result of (i) years of methodology development, script development, signoff recipe development, etc.; (ii) months of block- and top-level final physical implementation; and (iii) a last set of manual noise and DRC fixes, with a final signoff analysis and physical verification. Over the past decade, key aspects of the underlying process and device technologies, modeling standards, EDA tooling, design methodology, and signoff criteria have changed the nature of timing closure. This paper surveys such recent evolutions in timing closure and notes directions for near-term future evolutions.
Cell death‐inducing DFF45‐like effector b (Cideb) is present in pancreatic beta‐cells and involved in palmitate induced beta‐cell apoptosis

Excessive accumulation of long‐chain fatty acids in the pancreatic islets is associated with beta cell dysfunction and ultimately contributes to the pathogenesis of type 2 diabetes. It has been well proved that the cell death‐inducing DFF45‐like effector b (Cideb) is involved in cell apoptosis and lipid metabolism. However, the expression and function of Cideb in endocrine pancreas remain to be investigated.