Miracle-dz/UniFAR-FTUs huggingface dataset:
A Perspective Study on Speech Emotion Recognition: Databases, Features and Classification Models

Automatic Speech Recognition (ASR) is a popular research area with many variations in human behaviour functionalities and interactions. Human beings want speech for communication and Conversations. When the conversation is going on, the information or message of the speech utterances is transferred. It also consists of message which includes speaker’s traits like emotion, his or her physiological characteristics and environmental statistics. There is a tremendous number of signals or records that are complex and encoded, but these can be decoded quickly because of human intelligence. Many academics in the domain of Human Computer Interaction (HCI) are working to automate speech generation and the extraction of speech attributes and meaning. For example, ASR can regulate the usage of voice command and maintain dictation discipline while also recognizing and verifying the speech of the speaker. As a result of accent and nativity traits, the speaker's emotional state can be discerned from the speech. In this Paper, we discussed Speech Production System of Human, Research Problems in Speech Processing, SER system Motivation, Challenges and Objectives of Speech Emotion Recognition, so far the work done on Telugu Speech Emotion Databases and their role thoroughly explained. In this Paper, our own Created Database i.e., (DETL) Database for Emotions in Telugu Language and the software Audacity for creating that database is discussed clearly.
Anterior Shoulder Dislocation Reduction Managed Either with Midazolam or Propofol in Combination with Fentanyl

Objective Procedural Sedation and Analgesia is used in managing emergency painful procedures. The aim of this study is to compare the effects of propofol and midazolam on haemodynamic parameters when used in combination with fentanyl in isolated anterior shoulder dislocations and to measure the patient and physician satisfactions. Methods The study is a randomised single blind prospective trial. All procedural sedations were performed by emergency medicine specialists and the shoulder reductions were performed by orthopaedic surgeons. Two groups were defined. Group A received intravenous fentanyl and midazolam and Group B received intravenous fentanyl and propofol. The orthopaedic surgeons were not informed about the drugs. The emergency medicine specialist observed the patients. The patients and the orthopaedic surgeons were asked for a satisfaction scoring. Results Midazolam group consisted of 37 patients and propofol group consisted of 38 patients. Both groups were similar in demographic characteristics and pre-procedural vital signs. There was only one statistically significant difference at one time and it was the 5th minutes SpO2 levels between groups. There were statistically significant changes in the measurements of vital parameters in both groups when compared with the baseline levels. However none of them was clinically important. In midazolam and propofol group, 10.8% and 10.5% respectively had respiratory compromise. Patient and physician satisfactions were similar in both groups. Conclusions Midazolam and propofol are both relatively safe drugs using in combination with fentanyl in anterior shoulder dislocations. Patients and physicians can be highly satisfied with the two groups of drugs. (Hong Kong j.emerg.med. 2014;21:346-353)
Analysis of aggregate imaging system (AIMS) measurements and their relationship to asphalt pavement skid resistance

Analysis of Aggregate Imaging System (AIMS) Measurements and Their Relationship to Asphalt Pavement Skid Resistance. (December 2006) Anthony David Luce, B.S., Texas A&M University Chair of Advisory Committee: Dr. Eyad Masad This thesis consists of two parts. The first part includes analyses of the correlation between the results of two Aggregate Imaging System (AIMS) units. These analyses have led to refinements of the AIMS analysis methods of angularity and texture, which resulted in reduced variability in the results and better correlation between the two AIMS units. The refined analysis methods were used to establish a database of the shape characteristics of about 100 aggregate samples from the state of Texas and to propose a new method for the classification of aggregates based on their shape characteristics. This new method of classification is for use in the Texas Department of Transportation (TxDOT) wet weather accident reduction program (WWARP). The use of AIMS texture index and variability in texture within an aggregate source is proposed instead of the British Polish Value (BPV) for classifying aggregates used in pavement surfaces. The second part of the thesis investigates the relationship between shape characteristics and asphalt pavement skid resistance. Many states have implemented wet weather accident reduction programs aimed at maintaining acceptable levels of
Evaluating the legibility of urban parks based on neuroscience and the FVFL model

PurposeThe purpose of the study is to quantitatively evaluate the role of landscape values and factors in urban parks experimentally based on neuroscience.Design/methodology/approachIn the first step, ten major parks were selected out of 59 regional and trans-regional parks in Tehran for field study analysis. Next, considering the diversity and abundance of landscape elements in the selected parks, Mellat Park was chosen for the case study.FindingsThe fixation duration of the factors has an average correlation coefficient of 0.5865, −0.5035 and −0.5125 for the overall sketch map, quality and accuracy, respectively. The results indicated that the “quality of people's cognitive maps” has a direct relation to fixation duration on “human-made factors” and an inverse relation to fixation duration on “natural factors” and “human activities and behavioral factors” in the park.Practical implicationsThe results can pave the way for further research in the interdisciplinary fields of landscape architecture and neuroscience.Originality/valueLegibility is a superior quality of urban spaces that profoundly affect how people perceive and behave.
L’Union européenne et sa politique énergétique

Energy has always been a central issue for the European construction. The current international development forces the Union to redefine its energy policy according to another logic : accept global interdependence and the creation of structures favoring the development, the reactivity, and the competitiveness of the European energy industry, with an open approach based on markets. Energy will thus be again at the heart of the European dynamics.
USING STRUCTURAL EQUATION MODELING IN CLARIFYING THE IMPACT OF INTER-ORGANIZATIONAL RELATIONSHIP STRATEGY ON EMPLOYEES' JOB SATISFACTION IN SMES

Present paper aims at studying the impact of inter-organizational relationship strategy on employees’ job satisfaction in SMEs. Its population consists of managers and employees in Kerman SMEs. Sample size is 171 for manager and 310 for employees. Simple sampling method by Kokran formula is used to achieve sample size. Fata collection tool is a standard questionnaire and Cronbach's alpha value is used for its reliability. Library and field studies were used to collect needed information. In terms of aim, this is an applied study while it is a descriptive and correlation survey in terms of gathering needed data. To analyze obtained data in deductive section, Kolmogorov – Smirnov test and confirmatory factor analysis in SPSS and LISREL software packages are used. The findings indicate that inter – organizational relationship strategy impacts on employees’ job satisfaction significantly while the impact of symbiotic strategy on job satisfaction is more than pyramid strategy.
Evaluation metrics and dimensional reduction for binary classification algorithms: a case study on bankruptcy prediction

Abstract This paper presents a methodology that permits to automate binary classification using the minimum possible number of attributes. In this methodology, the success of the binary prediction does not lie in the accuracy of an algorithm but in the evaluation metrics, which give information about the goodness of fit; which is an important factor when the data batch is unbalanced. The proposed methodology assesses the possible biases in identifying one algorithm as the best performer when considering the goodness of fit of an algorithm through evaluation metrics. The dimension of data has been reduced through the cumulative explained variance. Then, the performance of six machine learning classification models has been compared through Matthew correlation coefficient (MCC), area under curve – receiver operating characteristic (ROC-AUC), and area under curve – precision-recall (AUC-PR). The results show graphically and numerically how the evaluation metrics interfere with the most optimal outcome of an algorithm. The algorithms with the best performance in terms of evaluation metrics have been random forest and gradient boosting. In the imbalanced datasets, MCC has provided better prediction results than ROC-AUC or AUC-PR. The proposed methodology is adapted to the case of bankruptcy prediction.
Employee Engagement and its Dynamics: An Empirical Study of an Information Technology Company Sri Lanka

Engaged employee is the most important asset of any organization since they are the drivers of business activities. Aim of this empirical study is to analyze the relationship between the variable of employee engagement and its antecedents. The selected dynamics of employee engagement are organizational culture, leadership, high performance work practices and rewards. Dynamics of employee engagement identified through a thorough desk research. Sampling method is non-probability convenience sampling. Total of four hypothesis tested. In order to test the hypothesis, data were gathered from 169 executives from an Information Technology Company located in Colombo, Sri Lanka. Implications of the research findings have been discussed.
The Effects of Depth-Related Environmental Factors on Traits in Acropora cervicornis Raised in Nurseries

Populations of Acropora cervicornis, one of the most important reef-building corals in the Caribbean, have been declining due to human activities and global climate change. This has prompted the development of strategies such as coral farms, aimed at improving the long-term viability of this coral across its geographical range. This study focuses on comprehending how seawater temperature (ST), and light levels (LL) affect the survival and growth of A. cervicornis fragments collected from three reefs in Culebra, Puerto Rico. These individuals were fragmented into three pieces of the similar sizes and placed in farms at 5, 8, and 12 m depth. The fragments, ST and LL were monitored for 11 months. Results show that fragments from shallow farms exhibit significantly higher mortalities when compared to the other two depths. Yet, growth at shallow farms was nearly 24% higher than at the other two depths. Corals grew fastest during winter, when temperature and LL were lowest, regardless of the water depth. Fragment mortality and growth origin were also influenced by reef origin. We conclude that under the current conditions, shallow farms may offer a slight advantage over deep ones provided the higher growth rate at shallow farms and the high fragment survival at all depths.
Adaptive hysteresis and fuzzy logic controlled-based shunt active power filter resistant to shoot-through phenomenon

This study proposes a novel adaptive hysteresis and fuzzy logic controlled based 3-phase 4-wire full bridge interleaved buck active power filter (FB IB-APF) which eliminates current harmonics without shoot-through phenomenon. Besides mitigating current harmonics, special attention has been given to improve the reliability of the APF by eliminating shoot-through current occurred in the converter circuit. The proposed APF topology consists of three single phase full bridge interleaved buck converter and therefore can be used for high voltage, medium-to-high power application. id –iq control strategy along with fuzzy logic controller (FLC) have been used for reference current generation. The results with PI controller have also been shown to prove the superiority of FLC. The adaptive hysteresis band current controller is being implemented to obtain optimised switching frequency. The performance of the proposed FB IB-APF is evaluated under sinusoidal, unbalanced and non-sinusoidal voltage source condition. Exhaustive simulation results are presented and finally verified with a real time digital simulator. The performance shows that FB IB-APF brings the total harmonic distortion of the source current well below 5% adhering to IEEE-519 standard. A comparison has also been made, based on switch device power between the IB-APFs using for low power and high power application.
Ways of coping among women with infertility undergoing assisted reproductive technologies in Ghana

Introduction infertility remains a public health challenge, especially among women in low- and middle-income countries. Assisted reproductive technologies (ART) provide effective remedies to infertility problems. Despite the use of these technologies in many countries, not much empirical studies have examined the coping strategies infertile women accessing ART adopt. We sought to explore various coping mechanisms used by women with infertility. Methods a cross-sectional survey was conducted in five selected fertility centers in Accra. Overall, 150 women undergoing ARTs were consecutively sampled. The ways of coping questionnaire was used. Chi-square test and binary logistic regression model were used in testing for association between sociodemographic characteristics of women receiving ART and the use of coping strategies at 5% significance level. Results the mean age of the respondents was 38.2 ± 6.1 years with 56% having completed tertiary education and 40% had been experiencing infertility for less than five years. All 46.7% of the respondents were in phase two of the treatment process. The most widely used coping strategy was positive reappraisal, with confrontational being the least form of coping strategy used. Age and educational level significantly associated with problem solving and positive reappraisal, respectively. Conclusion the study concludes that women use various coping strategies whiles seeking ARTs. Women who were advanced in age and had attained higher level of education coped better whiles seeking ARTs. Those who had experienced infertility for a long period were able to cope through avoidance of difficulty situations and accepting the reality of the challenges. It can therefore be recommended that the coping strategy used among different subgroups of individuals that are seeking ARTs needs to be identified and women educated on whiles seeking ARTs.
Implementation of Art Pictures Style Conversion with GAN

Image conversion refers to converting an image from one style to another and ensuring that the content of the image remains unchanged. Using Generative Adversarial Networks (GAN) for image conversion can achieve good results. However, if there are enough samples, any image in the target domain can be mapped to the same set of inputs. On this basis, the Cycle Consistency Generative Adversarial Network (CycleGAN) was developed. This article verifies and discusses the advantages and disadvantages of the CycleGAN model in image style conversion. CycleGAN uses two generator networks and two discriminator networks. The purpose is to learn the mapping relationship and inverse mapping relationship between the source domain and the target domain. It can reduce the mapping and improve the quality of the generated image. Through the idea of loop, the loss of information in image style conversion is reduced. When evaluating the results of the experiment, the degree of retention of the input image content will be judged. Through the experimental results, CycleGAN can understand the artist’s overall artistic style and successfully convert real landscape paintings. The advantage is that most of the content of the original picture can be retained, and only the texture line of the picture is changed to a level similar to the artist’s style.
Stacked Transformer: Influence of the Geometrical and Technological Parameters

In this work, we study the effect of the geometrical and technological parameters on the performance of stacked transformer in crystal metal oxide silicon (CMOS). It also presents the equivalent electrical model of on-chip stacked transformer based on the “2-p” architecture and contains the equations to evaluate its components values. These equations depend on both technological and geometric characteristics of the transformer. The inductance (primary or secondary) and the quality factor (primary or secondary) of on chip stacked transformer depend on the geometrical and technological parameters. We study the effect of the geometrical and technological parameters of on chip transformer, so to establish a methodology of its dimensioning and consequently its integration in a chip. The various geometrical and technological parameters that influence the performance of the transformer: capacitance between primary and secondary coils, oxide capacitance between the (primary coil, secondary coil) and substrate, substrate ohmic loss, and substrate capacitance.
Verbatim++: verified, optimized, and semantically rich lexing with derivatives

Lexers and parsers are attractive targets for attackers because they often sit at the boundary between a software system's internals and the outside world. Formally verified lexers can reduce the attack surface of these systems, thus making them more secure. One recent step in this direction is the development of Verbatim, a verified lexer based on the concept of Brzozowski derivatives. Two limitations restrict the tool's usefulness. First, its running time is quadratic in the length of its input string. Second, the lexer produces tokens with a simple "tag and string" representation, which limits the tool's ability to integrate with parsers that operate on more expressive token representations. In this work, we present a suite of extensions to Verbatim that overcomes these limitations while preserving the tool's original correctness guarantees. The lexer achieves effectively linear performance on a JSON benchmark through a combination of optimizations that, to our knowledge, has not been previously verified. The enhanced version of Verbatim also enables users to augment their lexical specifications with custom semantic actions, and it uses these actions to produce semantically rich tokens---i.e., tokens that carry values with arbitrary, user-defined types. All extensions were implemented and verified with the Coq Proof Assistant.
An M protein coiled coil unfurls and exposes its hydrophobic core to capture LL-37

Surface-associated, coiled-coil M proteins of Streptococcus pyogenes (Strep A) disable human immunity through interaction with select proteins. However, coiled coils lack features typical of protein-protein interaction sites, and it is therefore challenging to understand how M proteins achieve specific binding, for example, with the human antimicrobial peptide LL-37, leading to its neutralization. The crystal structure of a complex of LL-37 with M87 protein, an antigenic M protein variant from a strain that is an emerging threat, revealed a novel interaction mode. The M87 coiled coil unfurled and asymmetrically exposed its hydrophobic core to capture LL-37. A single LL-37 molecule bound M87 in the crystal, but in solution recruited additional LL-37 molecules, consistent with a ‘protein trap’ neutralization mechanism. The interaction mode visualized crystallographically was verified to contribute significantly to LL-37 resistance in an M87 Strep A strain, and was identified to be conserved in a number of other M protein types that are prevalent in human populations. Our results provide specific detail for therapeutic inhibition of LL-37 neutralization by M proteins.
Launching an Online Business Program at Scale: A Retrospective Case Study of Disruptive Innovation Before the Pandemic

How does an online graduate business program become the fastest growing program in a short span of 5 years, in a category that has been showing constant decline in the last decade? This article takes a retrospective look at the journey from conception to launch and early implementation of an innovative online program at a large public university about half a decade before the pandemic. Extant research about online learning focuses on educational strategies, the changing roles of faculty in a new environment, or students’ satisfaction and performance in online learning programs or courses. This article takes a broad-based view to discuss details on the strategy, design, and development of a disruptive online graduate program built for scale. Given the accelerated transition into remote learning during the COVID-19 pandemic, our journey also has important implications from the forward-looking approach of half a decade ago for how higher education should navigate the digital future.
CDK5RAP3, a New BRCA2 Partner That Regulates DNA Repair, Is Associated with Breast Cancer Survival

Simple Summary BRCA2 is an essential gene for DNA repair by homologous recombination and is often mutated in families at risk of breast and ovarian cancer. In this study we identified CDK5RAP3 tumor suppressor as a new BRCA2-interacting protein. CDK5RAP3 negatively regulates DNA repair of double-strand breaks, providing a new mechanism of DNA damage resistance. Consistently, gene expression data analysis showed CDK5RAP3 overexpression in breast cancer is associated with poorer survival. Finally, we identified common genetic variations in the CDK5RAP3 locus as potentially associated with breast and ovarian cancer risk in a large cohort of BRCA1 and BRCA2 mutation carriers. Abstract BRCA2 is essential for homologous recombination DNA repair. BRCA2 mutations lead to genome instability and increased risk of breast and ovarian cancer. Similarly, mutations in BRCA2-interacting proteins are also known to modulate sensitivity to DNA damage agents and are established cancer risk factors. Here we identify the tumor suppressor CDK5RAP3 as a novel BRCA2 helical domain-interacting protein. CDK5RAP3 depletion induced DNA damage resistance, homologous recombination and single-strand annealing upregulation, and reduced spontaneous and DNA damage-induced genomic instability, suggesting that CDK5RAP3 negatively regulates double-strand break repair in the S-phase. Consistent with this cellular phenotype, analysis of transcriptomic data revealed an association between low CDK5RAP3 tumor expression and poor survival of breast cancer patients. Finally, we identified common genetic variations in the CDK5RAP3 locus as potentially associated with breast and ovarian cancer risk in BRCA1 and BRCA2 mutation carriers. Our results uncover CDK5RAP3 as a critical player in DNA repair and breast cancer outcomes.