Miracle-dz/UniFAR-FTUs huggingface dataset:
Bimodal recognition of affective states with the features inspired from human visual and auditory perception system

In this article, attention‐based mechanism with the enhancement on biologically inspired network for emotion recognition is proposed. Existing bio‐inspired models use multiscale and multiorientation architecture to gain discriminative power and to extract meticulous visual features. Prevailing HMAX model represents S2 layers by randomly selected prototype patches from training samples that increase the computational complexity and degrade the discerning ability. As eyes and mouth regions are the most powerful and reliable cues in determining facial emotions, they serve as the prototype patches for S2 layer in HMAX model. Audio code 4 book is constructed from mel‐frequency cepstral coefficients, temporal and spectral features processed by principal component analysis. Audio and video data features are fused to train support vector machine classifier. The attained results on eNTERFACE, surrey audio‐visual expressed emotion and acted facial expressions in the wild database datasets ascertain the efficiency of the proposed architecture for emotion recognition.
Evolving geospatial applications: from silos and desktops to Microservices and DevOps

The evolution of software applications from single desktops to sophisticated cloud-based systems is challenging. In particular, applications that involve massive data sets, such as geospatial applications and data science applications are challenging for domain experts who are suddenly constructing these sophisticated code bases. Relatively new software practices, such as Microservice infrastructure and DevOps, give us an opportunity to improve development, maintenance and efficiency for the entire software lifecycle. Microservices and DevOps have become adopted by software developers in the past few years, as they have relieved many of the burdens associated with software evolution. Microservices is an architectural style that structures an application as a collection of services. DevOps is a set of practices that automates the processes between software development and IT teams, in order to build, test, and release software faster and increase reliability. Combined with lightweight virtualization solutions, such as containers, this technology will not only improve response rates in cloud-based solutions but also drastically improve the efficiency of software development. This thesis studies two applications that apply Microservices and DevOps within a domain-specific application. The advantages and disadvantages of Microservices architecture and DevOps are evaluated through the design and development on two different platforms – a batch-based cloud system, and a general purpose cloud environment.
Labour Market Returns to Graduates’ International Experience: Exploring Cross-Country Variation in Europe

The potential benefits of increased international experience abound, ranging from enriching cultural understanding to an improvement of language skills and intercultural competence. At the same time, empirical evidence is mixed, particularly with regards to how well international experience translates into individual returns on the labour market. This article examines the association between studying abroad and early labour market outcomes in a comparative perspective aiming to shed light on why labour market returns differ across countries. We expect labour market returns to vary with specific country characteristics such as demand for international experience and competition among graduates at labour market entry. In our empirical analyses, we use data from 13 European countries that provide information on graduates’ early labour market outcomes. We find a large variation in the impact of studying abroad on both wages and attaining a higher service class position. Generally, the labour market returns to international experience are larger in countries in Eastern and Southern Europe with poorer university quality, higher graduate unemployment, and fewer students abroad.
Dilated Cardiomyopathy Metabolomics Data Classification Based on DAE-SVM Algorithm

A novel deep auto-encoder network combined with support vector machine (DAE-SVM) are prepared for the arrangement of metabolomics data. Because of their small sample size, high-dimensional, nonlinear and noisy parameters, traditional feature abstraction and classifications are very difficult to achieve satisfactory results. DAE performs non-linear transformations with hidden layers, which can learn complex relationships. It has a solid capability to show high-order appearance and can excerpt more complicated characteristics of metabolomic data. This manuscript considers Boltzmann Machine to complete the pre-training of DAE, the conjugate gradient was adopted to complete the fine-tuning, and SVM completes the classification. Empirical results on actual metabolomics data of expound cardiomyopathy concluded the proposed model has attained best accomplishment compared to other extant algorithms.
Personality traits and performance in online labour markets

ABSTRACT We investigate the impact of non-cognitive skills on the quality of task-specific outcomes by conducting a quasi-experiment on a well-known online crowdsourcing platform. We show that worker’s performance varies with personality traits, gender, human capital, crowdsourcing experience and work effort. Regarding the effects of non-cognitive skills, we find that worker’s performance in online microtasks is positively related to extraversion and agreeableness. The positive impact of extroverts is also revealed when performance is adjusted for task completion time. These findings provide implications regarding the integration of selection mechanisms in online labour matching platforms aiming in uncovering micro-workers’ soft skills to improve performance and consequently the allocation of resources in online microtasks.
Nine decades of glacier change in the Canadian Rocky Mountains.

Glaciers adjust their physical properties to changes in climate, but long records of glacier change needed to examine this relation are spatially and temporally limited. I determined changes in glacier area in the central and southern Canadian Rocky Mountains and changes in length, area, elevation, and volume of the Columbia Icefield over the past nine decades. I used Interprovincial Boundary Commission Survey (IBCS) maps of the Alberta-British Columbia (BC) border (1903-1924), aerial photographs (1948-1993), BC Terrain Resource Information Management (TRIM) data (1982-1987), and satellite imagery (1999-2009) in my analysis. From 1919-2006, total glacierized area in the Canadian Rocky Mountains decreased by 590 ± 100 km² (40 ± 7%); glaciers smaller than 1.0 km² experienced the greatest percentage loss. Slope and minimum elevation are negatively correlated with absolute area loss, and mean and median elevations are negatively correlated with relative area loss. From 1919-2009, glaciers of the Columbia Icefield retreated 1149.9 ± 34.1 m, decreased 59.60 ± 1.19 km² (22.5 ± 5.0%), thinned 49.4 ± 25.2 m w.e. , and lost 14.30 ± 2.02 km³ w.e. Debris-covered ice thinned 30-60% less than bare ice. Changes in temperature and precipitation explain some of the observed changes. I detected a lag of two to ten years between climate and glacier response.
Cognitive Behavior Therapy for Heart Failure Patients with Depression

The purpose of this systematic review was to examine the effectiveness of cognitive behavior therapy (CBT) in minimizing the depressive symptoms and improving quality of life in heart failure (HF) patients with depression. This systematic review was conducted in accordance with the Joanna Briggs Institute methodology for systematic reviews of effectiveness evidence. This review only considered randomized controlled trial, assessing the effectiveness of CBT as a treatment for depression in adults (aged above 18) with HF, compared with usual care, which may include medications. This systematic review includes five RCTs involving 379 HF patients with depression (CBT = 192; Control = 187). Two RCTs compared CBT versus usual care using BDI, and no statistically significant differences were observed in reduction of depression after three months of the intervention (MD ? 0.92, 95% CI ? 1.89 to ? 0.05) (p = 0.06). However, a significant difference of depression level was identified between CBT and control groups in a meta-analysis of two RCTs after 6-months of intervention measured by Hamilton Depression Scale (HAM-D) (MD ? 3.34, 95% CI ? 5.00 to ? 1.68) (p = 0.0001) with moderate heterogeneity (I2 = 43%). Quality of life was assessed at three months between intervening groups undergoing CBT and the control group with usual care in two RCTs. A statistically significant improvement was observed in the Minnesota Living with Heart Failure Questionnaire (MLHFQ) in the CBT group compared with usual care (MD ? 9.44, 95% CI ? 13.02 to ? 5.87) (p < 0.0001). The key finding of this review is that CBT is likely to be helpful in improving the depressive symptoms and quality of life in HF patients with depression. Moreover, long-term continued CBT sessions may help in minimizing the depression level and improving the QoL.
A framework for characterizing business models applied by forestry service contractors

ABSTRACT Forestry service contractors’ performance have been found related to how they organize their business. For benchmarking purposes, it is thus of vital importance to have a tool that can capture the relevant characteristics of a firm’s business model and structure the information in a useful way. The Business Model Canvas (BMC) is a well-established tool that has frequently been used to describe business models in other industries than forestry. Thus, the aim of this paper was to identify which of the BMC components are the most relevant when comparing business models applied by forestry service contractors and provide a framework for characterizing their business models in a structured and comparable manner. The research process also identified which questions are critical to capturing the relevant content of the included business model components. The adapted framework was tested by interviewing forestry service market experts in Sweden, Finland, Scotland and Ireland about the business model characteristics in their respective countries. The result was a seven-component BMC framework with a number of key questions associated to each component. The paper concludes that the proposed canvas framework is a structured and practical approach for characterizing business models applied by forestry service contractors.
PII: S1010-7940(02)00063-5

Introduction: The Fontan circulation is a direct connection between the systemic veins and the pulmonary artery (PA). Consequently, the pulmonary flow is passive due to the gradient between the right and left atrial pressure. In patients with increased pulmonary vascular resistance, the surgical procedure of atrio-pulmonary connection is therefore prone to failure. The goal of this experiment was to increase the pulmonary flow in an experimental model of a Fontan circulation by performing a right atrial cardiomyoplasty (ACMP). Methods: In 19 Foxhounds the left m. latissimus dorsi (LD) was mobilised and transferred as a pedicle into the chest. After sternotomy a ‘Fontan circulation’ was created under cardiopulmonary bypass (CPB) by connecting the right atrium (RA) with the PA by a valveless conduit. The tricuspid valve was closed with a patch. In 11 dogs (group 1) a valve was implanted in the inferior vena cava (IVC) and pulmonary inflow impedance was increased by partial occlusion of the conduit to a gradient of 10 mmHg between RA and PA. In the other eight dogs (group 2) no valve was implanted, but flowmeters were placed in the IVC and the superior vena cava (SVC). In all dogs the RA was enlarged by a fascia lata patch before the LD was wrapped over the RA and stimulated synchronously to the R-wave with burst impulses. Results: After coming off CPB, relatively high central venous pressures (22.5 ^ 5.8 mmHg) were necessary to maintain haemodynamic stability. With LD-stimulation in a 1:3 mode in group 1, RA pressure (P) increased from 23.1 ^ 7.7 to 45 ^ 10.5 mmHg ðP , 0:001Þ, pulmonary atrial pressure (PAP) from 15.5 ^ 4.3 to 25.5 ^ 7.6 mmHg ðP , 0:001Þ and central venous pressure increased to 33.1 ^ 11.3 mmHg ðP , 0:05Þ. Stroke volume increase from 11.4 ^ 4.7 to 17.2 ^ 4.3 ml and peak conduit-flow from 1286.3 ^ 880.3 to 2329 ^ 1173 ml/min (all P , 0:001). In a 1:1 stimulation mode a pulsatile pressure/flow profile was obtained in the PA-conduit. Furthermore, at higher frequencies of about 120 beats/min muscle relaxation was still fast enough as not to interfere with the RA filling. In group 2 caval flow without stimulation occurred mainly during diastole. However, with LD-stimulation, a strong backflow into IVC and SVC was observed resulting in a less pronounced pressure/ flow increase in the PA. Conclusions: Our experimental model demonstrates the possibility of a ‘ventricularisation’ of the RA by using the force of the LD. However, the haemodynamic benefit of ACMP was achieved only, when a valve was implanted in the ICV. q 2002 Published by Elsevier Science B.V.
A Probabilistic Energy Efficient Routing Protocol for Asymmetric Sensor Networks

Wireless sensor networks have got significant applications in military surveillance, health care, weather monitoring and in various civilian applications. The fundamental problem in wireless networks is the occurrence of unidirectional links which makes most of the existing protocols fail or operate with high overhead. The main objective of our paper is to devise a new energy aware routing protocol which works well on asymmetric links as well. The proposed algorithm is a cluster based protocol which groups the nodes into different clusters. The cluster head is elected based on the remaining energy of the nodes and the delivery probability. The reverse path for unidirectional links is determined using reverse path algorithm. The performance of the network can be improved with minimized energy consumption and reduced overhead. Simulation results show that the proposed system has got high delivery probability and improved performance compared to existing system.
Extracting T Cell Function and Differentiation Characteristics from the Biomedical Literature

The role of many cytokines and transcription factors in the function and development of human T cells has been the subject of extensive research, however much of this work only demonstrates experimental findings for a relatively small portion of the molecular signaling network that enables the plasticity inherent to these cells. We apply recent advancements in methods for weak supervision and transfer learning for natural language models to aid in extracting these individual findings as 283k cell type, cytokine, and transcription factor relations from 64k relevant documents (53k full-text PMC articles and 11k PubMed abstracts). All data, results and source code available at https://github.com/hammerlab/t-cell-relation-extraction.
The syntax of temporal and conditional adverbial clauses in Najdi Arabic

iii Declaration and Statement of copyright . iv Dedication . v Acknowledgements . vi Abbreviations . vii List of tables . xii Chapter ONE: Introduction . 1 1.1 The scope and significance of the thesis . 1 1.2 Najdi Arabic (NA): An introduction . 2 1.3 Descriptive facts of NA . 3 1.3. 1 Word Orders in NA . 3 1.3. 2 Subject-verb Agreement in NA . 6 1.3. 3 The morphological form of the verb in NA . 9 1.3. 4 Tense and aspect in NA . 12 1.3. 4.1 Past tense . 12 1.3. 4.2 Present tense . 13 1.3. 4.3 Future tense. 13 1.3. 5 NA as a null subject language . 14 1.4 Adverbial clauses in NA. 15 1.5 The organization of the thesis . 21 Chapter TWO: Peripheral vs. central adverbial clauses: An overview . 25 2.
Antiparallel exchange biased multilayers for low magnetic noise magnetic field sensors

High sensitivity magnetoelectric (ME) thin film composite sensors, which enable the detection of picotesla magnetic fields, are improved in terms of magnetic noise performance by the elimination of magnetic domain (MD) activity. Using an antiparallel (AP) exchange biasing scheme, suppression of magnetic noise is obtained. Postsetting of AP biased ferromagnetic/antiferromagnetic multilayers is accomplished by magnetic field free annealing with in-situ MD control. Overcoming the shape and demagnetization effects, stable single MD configurations in the magnetic sensing layers of magnetic multilayers are formed. Magnetic noise contributions are undetectable. The achieved single domain field stability opens the path to ultralow noise ME sensor applications. The demonstrated AP biasing scheme is applicable to other magnetic layer-based field sensing devices.High sensitivity magnetoelectric (ME) thin film composite sensors, which enable the detection of picotesla magnetic fields, are improved in terms of magnetic noise performance by the elimination of magnetic domain (MD) activity. Using an antiparallel (AP) exchange biasing scheme, suppression of magnetic noise is obtained. Postsetting of AP biased ferromagnetic/antiferromagnetic multilayers is accomplished by magnetic field free annealing with in-situ MD control. Overcoming the shape and demagnetization effects, stable single MD configurations in the magnetic sensing layers of magnetic multilayers are formed. Magnetic noise contributions are undetectable. The achieved single domain field stability opens the path to ultralow noise ME sensor applications. The demonstrated AP biasing scheme is applicable to other magnetic layer-based field sensing devices.
Optimum Design of a Beam-Forming Array of S-Shaped DRA Elements With a Superstrate on an SIW Feed for 5G Mobile Systems

In this letter, an array of dielectric resonator antennas (DRAs) is proposed for the fifth-generation mobile network. A novel S-shaped DRA is presented as array elements. The proposed configuration is achieved by making two symmetrical segments on a conventional rectangular DRA. The results show that in this configuration the higher order modes of antenna are excited, and therefore, the 3 dB gain bandwidth and impedance bandwidth of antenna are increased. The volume of the proposed DRA without ground plane is $0.38\,\lambda _{{\rm{g}}}^{3}$. The proposed DRA provides maximum bandwidth and gain per unit volume compared to similar designs in the literature. Furthermore, the benefit of a mutual coupling (MC) compensation approach in a linear DRA array is investigated. The results show that the accuracy of a computed MC matrix is better at the resonance frequency relative to other frequencies. Also, the performance of a beam-forming algorithm is improved by using this matrix for compensating the MC effects. The proposed array is fabricated and its characteristics are measured. A very good agreement between the numerical and measured results is obtained.
Biosynthesis of an Anti-Addiction Agent from the Iboga Plant

(−)-Ibogaine and (−)-voacangine are plant derived psychoactives that show promise as effective treatments for opioid addiction. However, these compounds are produced by hard to source plants making these chemicals difficult for broad-scale use. Here we report the complete biosynthesis of (−)-voacangine, and de-esterified voacangine, which is converted to (−)-ibogaine by heating. This discovery will enable production of these compounds by synthetic biology methods. Notably, (−)-ibogaine and (−)-voacangine are of the opposite enantiomeric configuration compared to the other major alkaloids found in this natural product class. Discovery of these biosynthetic enzymes therefore demonstrates how nature generates both enantiomeric series of this medically important alkaloid scaffold using closely related enzymes, including those that catalyze enantioselective formal Diels-Alder reactions. One Sentence Summary Biosynthesis of iboga alkaloids with anti-addiction promise reveals enantioselectivity of enzymatic Diels-Alder reactions.
Remote Chlorophyll-a and SST to Determination of Fish Potential Area in Makassar Strait Waters Using MODIS Satellite Data

The objective of this research was to analyze integrated geospatial data using MODIS Satellite data and field data observation to the determination of potential fish area. This study applied in Makassar Strait 118° 0’ 0” E-119° 37’ 0” E, 3°0’0” S – 4°45’0” S. The methods of this research was conducted using MODIS combine the depth of map waters survey direct interviews and people who participate in fishing activities monthly in January, February, March, April, May, and June. Data were analyzed by using software: Statistics, SeaDas, ENVI, and GIS. The result showed that the horizontal distribution of sea surface temperature (SST) spread evenly or divergent. The distribution of sea temperature in the coastal area was relatively warm in the sea around Barru and Pangkep was ranged 31 to 32 °C. Sea surface temperature dominates in the range of 30 - 31°C. SST correlation coefficient was 0.79 between MODIS and value of observation field data.
A general result on complete convergence for weighted sums of linear processes and its statistical applications

ABSTRACT Consider the linear process , where is a sequence of identically distributed, negatively associated random variables with , and is a sequence of real numbers with . Under some mild conditions, we first establish a general result on complete convergence for weighted sums of such linear process, and then describe its statistical properties and interpretations in both semiparametric and nonparametric regression models. We also prove the complete consistency for the parameter estimators. In addition, we have conducted comprehensive simulation studies to demonstrate the validity of obtained theoretical results.
Using Submerge Fermentation Method to Production of Extracellular Lipase by Aspergillus niger

 Abstract — In this study, lipase production has been investigated using submerge fermentation by Aspergillus niger in Kilka fish oil as main substrate. The Taguchi method with an L9 orthogonal array design was used to investigate the effect of parameters and their levels on lipase productivity. The optimum conditions for Kilka fish oil concentration, incubation temperature and pH were obtained 3 gr. /ml 35°C and 7, respectively. The amount of lipase activity in optimum condition was obtained 4.59IU/ml. By comparing this amount with the amount of productivity in the olive oil medium based on the cost of each medium, it was that using Kilka fish oil is 84% economical. Therefore Kilka fish oil can be used as an economical and suitable substrate in the lipase production and industrial usages.