Miracle-dz/UniFAR-FTUs huggingface dataset:
Voxel-Based Morphometry in Women with Borderline Personality Disorder with and without Comorbid Posttraumatic Stress Disorder

Patients with Borderline Personality Disorder (BPD) showed reduced volume of amygdala and hippocampus, but similar findings are evident in Posttraumatic Stress Disorder (PTSD). Applying voxel-based morphometry (VBM) in a larger cohort of patients with BPD, we sought to extend earlier findings of volume abnormalities in limbic regions and to evaluate the influence of co-occurring PTSD in BPD patients. We used voxel-based morphometry to study gray matter volume (GMV) in 60 healthy controls (HC) and 60 patients with BPD. Subgroup analyses on 53 patients concerning the role of co-occurring PTSD were conducted. Additionally, regression analyses were calculated to assess the relation between borderline symptom severity as well as dissociative experiences and GMV. Differences in local GMV between patients with BPD and HC were observed in the amygdale and hippocampus as well as in the fusiform and cingulate gyrus. Co-occurring PTSD was accompanied by increased GMV in the superior temporal gyrus and dorsolateral prefrontal cortex. Independent of co-occurring PTSD, severity of BPD symptoms predicted smaller GMV in the amygdala and dorsal ACC. Dissociation was positively related to GMV in the middle temporal gyrus. We could replicate earlier findings of diminished limbic GMV in patients with BPD and additionally show that patients with co-morbid PTSD feature increased GMV in prefrontal regions associated with cognitive control.
The Identity of Psychology

Background: Today, psychology benefits from widespread acknowledgement, being taken into account and used in a growing number of spheres of society. Nonetheless, not always does this profession follow such acknowledgment, which becomes a real employabilityproblem for psychologists who are looking for a job in Portugal. Moreover, in an ever more specialized and flexible world in what concerns professional identities and careers, the development of psychology as a profession demands the establishment of guidelinesand limits, besides an introspective attitude about the current psychological practice. Otherwise, psychology as a profession risks losing its identity, shrinking with the pressure that is imposed on it by its different specialties and areas of action.Goals: We characterized the perceptions of Portuguese psychologists about the exclusive goal of psychological intervention, the tasks that are exclusively performed by psychologists and, also, the tasks that are performed by psychologists but which may also be performedby other professionals who are not psychologists. This analysis aimed to reveal if psychologists share a common and clear standing on this matter.Methods: We used a three open-answer question questionnaire, which was specifically designed for this study. Data analysis was performed using thematic categorical content analysis.Results: Our results stress that psychologists lack agreement concerning the three questions under study, which created a significant number of subcategories. Furthermore, we found answers that are clearly incorrect regarding these three issues, as well as a lack ofresponse from a few participants.Discussion: We discuss the potential implications of the results for psychologists’ professional practice, as well as for the construction of a solid identity that may promote the general public’s trust in psychologists. Also, we reflect on the need to define a single andexclusive goal for psychological intervention, one that is able to integrate the diversity of interventions in the field of psychology.
An ontology-based method for quality assessment of spatial data bases

We propose an ontological approach for the quality assessment of spatial databases. This process is carried out at two levels. At the ontological level, the internal consistency of the specifications is considered. At the data level, real objects and their relations are studied with respect to the specifications. For this purpose, the national topographic database of Canada is selected as the case study. The ontology of the spatial database is translated into a knowledge base coded in Prolog. Then rules that define inconsistencies were defined. The querying of the knowledge base to determine the existence of such inconsistencies was carried out on a very large fact base. By this process, spatial relation between each pair of objects is analyzed with respect to the permitted relation between such objects in the ontology. The results obtained from various experimentations indicate the presence of several inconsistencies in the analyzed data set. These problems were attributed firstly to the control system that oversees the production process and secondly to the incomplete ontology. The overall approach appeared to be justified. The results obtained from several experimentation illustrated the potential of the proposed method for the quality assessment of spatial data bases in both ontological and data levels.
Caption detection and removal from video images with complicated background using intelligent inpainting scheme

Effectively finding and removing the captions embedded in video images and restoring the covered background have great significance on video reuse. In this paper, considering the captions color and edge features, we first present a method of caption extraction based on the color edge detector and connected domain features analysis, which can reduce the false detection rate when the gray scale of text is close to background. Meanwhile, the proposed algorithm has stronger robustness and adaptability for captions of different types and countries. Next, after caption detection, we improve a method based on Criminisi algorithm for repairing the text in video image with complex background. We put forward three improvements about this algorithm. First, the fixed size of the template blocks will be changed into the variable ones. Second, we use addition instead of multiplication in computing the priority of repairing blocks. Third, we combine the Euclidean distance between the blocks with the sum of squared differences (SSD) matching criterion. Experimental results demonstrate that our method leads to good results in both detecting the captions and maintaining the video image texture and structure information at the same time.
Potentiation of a Voltage-Gated Proton Current in Acidosis-Induced Swelling of Rat Microglia

Microglia are equipped with a strong proton (H+) extrusion pathway, a voltage-gated H+ channel, probably to compensate for the large amount of H+generated during phagocytosis; however, little is known about how this channel is regulated in pathological states. Because neural damage is often associated with intracellular and extracellular acidosis, we examined the regulatory mechanisms of the H+ current of rat spinal microglia in acidic environments. More than 90% of round/amoeboid microglia expressed the H+ current, which was characterized by slow activation kinetics, dependencies on both intracellular and extracellular pH, and blockage by Zn2+. Extracellular lactoacidosis, pH 6.8, induced intracellular acidification and cell swelling. Cell swelling was also induced by intracellular dialysis with acidic pipette solutions, pH 5.5–6.8, at normal extracellular pH 7.3 in the presence of Na+. The H+ currents were increased in association with cell swelling as shown by shifts of the half-activation voltage to more negative potentials and by acceleration of the activation kinetics. The acidosis-induced cell swelling and the accompanying potentiation of the H+ current required nonhydrolytic actions of intracellular ATP and were inhibited by agents affecting actin filaments (phalloidin and cytochalasin D). The H+ current was also potentiated by swelling caused by hypotonic stress. These findings suggest that the H+ channel of microglia can be potentiated via cell swelling induced by intracellular acidification. This potentiation might operate as a negative feedback mechanism to protect microglia from cytotoxic acidification and hence acidosis-induced swelling in pathological states of the CNS.
Behavioral Responses to Combinations of Timed Light, Food Availability, and Ultradian Rhythms in the Common Vole (Microtus arvalis)

Light is the main entraining signal of the central circadian clock, which drives circadian organization of activity. When food is made available during only certain parts of the day, it can entrain the clock in the liver without changing the phase of the central circadian clock. Although a hallmark of food entrainment is a behavioral anticipation of food availability, the extent of behavioral alterations in response to food availability has not been fully characterized. The authors have investigated interactions between light and temporal food availability in the timing of activity in the common vole. Temporally restricted food availability enhanced or attenuated re-entrainment to a phase advance in light entrainment when it was shifted together with the light or remained at the same time of day, respectively. When light-entrained behavior was challenged with temporal food availability cycles with a different period, two distinct activity components were observed. More so, the present data indicate that in the presence of cycles of different period length of food and light, an activity component emerged that appeared to be driven by a free-running (light-entrainable) clock. Because the authors have previously shown that in the common vole altering activity through running-wheel availability can alter the effectiveness of food availability to entrain the clock in the liver, the authors included running-wheel availability as a parameter that alters the circadian/ultradian balance in activity. In the current protocols, running-wheel availability enhanced the entraining potential of both light and food availability in a differential way. The data presented here show that in the vole activity is a complex of individually driven components and that this activity is, itself, an important modulator of the effectiveness of entraining signals such as light and food. (Author correspondence: vanderveen@nd.edu)
Automatic Recognition of Intonation Patterns

This paper is a progress report on a project in linguistically based automatic speech recognition, The domain of this project is English intonation. The system I will describe analyzes fundamental frequency contours (F0 contours) of speech in terms of the theory of melody laid out in Pierrehumbert (1980). Experiments discussed in Liberman and Pierrehumbert (1983) support the assumptions made about intonational phonetics, and an F0 synthesis program based on a precursor to the present theory is described in Pierrehumbert (1981).
Customer-Centric Business Modeling: Setting a Research Agenda

Enterprises based on a traditional, internally oriented business model consider their available resources as a starting point for determining their service offerings. However, in a world of changing customer behavior, emerging online service providers and ongoing technological advances an internal focus is no longer sufficient. The idea that customer needs should be the starting-point for designing business models becomes increaseingly accepted. This paradigm shift towards a customer-centric perspective opens up a highly relevant field of research. In this paper we present a research agenda which contributes to the development of approaches for the identification of customer needs and for the setup of customer-centric business models. The agenda is structured along three major research questions in this field. For each of these we develop first directions of multi-disciplinary research.
Hydrolysis of Glycosidic Flavonoids during the Preparation of Danggui Buxue Tang: An Outcome of Moderate Boiling of Chinese Herbal Mixture

Chemical change during boiling of herbal mixture is a puzzle. By using Danggui Buxue Tang (DBT), a herbal decoction that contains Astragali Radix (AR) and Angelicae Sinensis Radix (ASR), we developed a model in analyzing the hydrolysis of flavonoid glycosides during the boiling of herbal mixture in water. A proper preparation of DBT is of great benefit to the complete extraction of bioactive ingredients. Boiling of DBT in water increased the solubility of AR-derived astragaloside IV, calycosin, formononetin, calycosin-7-O-β-D-glucoside, and ononin in a time- and temperature-dependent manner: the amounts of these chemicals reached a peak at 2 h. The glycosidic resides of AR, calycosin-7-O-β-D-glucoside, and ononin could be hydrolyzed during the moderate boiling process to form calycosin and formononetin, respectively. The hydrolysis efficiency was strongly affected by pH, temperature, and amount of herbs. Interestingly, the preheated herbs were not able to show this hydrolytic activity. The current results supported the rationality of ancient preparation of DBT in boiling water by moderate heat.
Support vector machines with continued fraction kernel

Based on the proof of a series of Theorems, this paper presents a new continued fraction Mercer kernel, which can be used in SVC algorithm and other SVM algorithm. Experimental results show the SVC algorithm with continued fraction kernel works successfully on real data, and is competitive to the other existing simple kernels. Moreover, this kernel can be used to combine relatively complex kernels such as RBF applying kernel tricks easily.
A self-correcting iteration schema for argumentation networks

Given an argumentation network with initial values to the arguments, we look for a numerical algorithm yielding extensions compatible with such initial values. We offer an iteration schema that takes the initial values of the nodes and follows the attack relation producing a sequence of intermediate values that eventually becomes stable leading to an extension in the limit. The schema can be used in abstract as well as in abstract dialectical frameworks (ADFs).
SIMULATION OF POOL FIRE FOLLOWING THE LEAKAGE OF A DIATHERMIC OIL USED IN THE PACKAGING INDUSTRY

a Università degli Studi di Napoli Federico II, Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, Napoli, Italy almerinda.dibenedetto@unina.it b Consiglio Nazionale delle Ricerche (CNR), Istituto di Ricerche sulla Combustione, Napoli, Italy valeria.disarli@irc.cnr. it c Icimendue srl, Marcianise, Italy francesco.berardini@mensitieri.com, mario.mensitieri@mensitieri.com
NUMERICAL ANALYSIS OF SLOW STEADY AND UNSTEADY VISCOUS FLOW BY MEANS OF R-FUNCTIONS METHOD

Context. This article is devoted to the linear problem of the steady and unsteady flows of a viscous incompressible fluid. Objective. The purpose of this paper is to compare the previously developed methods of numerical analysis of the steady and unsteady flows of a viscous incompressible fluid. Method. The flow of a viscous incompressible fluid can be described by the system of nonlinear Navier-Stokes equations. The variables of this system are velocity, pressure, density, volume forces, and fluid viscosity. Using the stream function, the Navier-Stokes equations can be transformed to the initial-boundary problem with the differential equation of the fourth order. To solve the problem the structural variational method of R-functions and Ritz method (steady problem) or Galerkin method (unsteady problem) are used. The R-functions method allows satisfying the boundary conditions accurately and transforming them to the homogeneous, which are the prerequisite for application of Ritz or Galerkin method. The problem transforms to the solving the system of linear algebraic equations or the system of ordinary differential equations for steady and unsteady flows respectively. The matrices elements are the scalar products in the norms of the corresponding differential operators. Numerical integration was made by means of Gaussian quadratures with 16 points. Solutions of the system of linear algebraic equations and the system of ordinary differential equations were found with the help of the Gauss method and the Runge-Kutta method with an automatic step-size control respectively. The existence of a unique solution of the problems is proved. Results. The computational experiments for the problem of flows of a viscous incompressible fluid for the different rectangular domains carried out. Conclusions. The conducted experiments have confirmed that the stream function, the flow velocity, and other flow characteristics are converging to the steady state when the time is increasing. This allows us to say that the obtained methods work as expected. The further research may be devoted to the comparison of the solution methods for the non-linear problems.
Simple LCD Transmitter Camera Receiver Data Link

We demonstrate a freespace optical system using a consumer camera and projector in indoor environments using available devices for visual computing. Through design, prototype and experimentation with this commodity hardware, we analyze a practical optical solution as well as the drawbacks for current wireless challenges unmet by classic RF wireless communication. We summarize and introduce some new applications enabled by such similar setups.
Myrinet express (MX): Is your interconnect smart ?

Ever since the first prototypes more than ten years ago, the high-performance interconnect Myrinet has been designed around a revolutionizing concept: scalability lives on the edges. In other words, the switching element of the fabric must be kept very simple and the processing power moved to the network interfaces (NICs). Myrinet NICs are built around a programmable RISC processor that operates directly in the data path. Myrinet express (MX), a new communication layer, was specifically designed to harness this capacity of customizing the behavior of the hardware in order to improve the performance of common software interfaces such as MPI and Ethernet emulation. MX embeds functions into the NIC to assist and improve the communication protocols on the host, while providing a very short critical path. MX opportunistically runs part of the host protocol closest to the data path, decoupling the progression of the protocol from the execution of the host application. The results show not only an impressive low-level point-to-point performance, but also a sharp improvement of higher-level metrics such as overlapping of communication, computation, and collective communication for MPI. Similar results are seen for high-throughput, low-overhead IP communication. We present the overall design of MX, along with the key technical choices we made and the problems we encountered. We also present various results to show the impact on benchmarks and real world HPC applications.
A Feature Point Matching Algorithm for Complex Background Image

Aming at the problem that the match algorithms of feature points under complex background have low reliability and weak robustness, a match the feature points algorithm is based on Speed Up Robust Features, namely determine the main direction by calculating the gradient information around feature points using Haar wavelet, generate 64-dimensional descriptors by Gaussian weighted in the sub-region, fast index match by Hessian matrix trace, and then match again by the sum of square of match points distance difference (one of similarity measure methods). Finally, using multiple real-time image to analysis and compare the experimental results of SIFT and SURF algorithms, concluded that SIFT and SURF algorithm is effective for change of rotation, scaling, noise and light and impact of a variety of integrated factors. Synthesis results show that, SURF matching algorithm is better than SIFT matching algorithm. SURF matching algorithm can be fast, robust and accurate.
Automatic fitting of cochlear implants with evolutionary algorithms

This paper presents an optimisation algorithm designed to perform in-situ automatic fitting of cochlear implants.All patients are different, which means that cochlear parametrisation is a difficult and long task, with results ranging from perfect blind speech recognition to patients who cannot make anything out of their implant and just turn it off.The proposed method combines evolutionary algorithms and medical expertise to achieve autonomous interactive fitting through a Personal Digital Assistant (PDA).
Masquerade detection based on SVM and sequence-based user commands profile

Masqueraders, despite widespread use of security products such as firewalls and intrusion detection systems, are serious threats to organizations. Although anomaly detection techniques have been considered as an effective approach to complement existing security solutions, they are not widely used in practice due to poor accuracy and relatively high degree of false alarms. In this paper, we performed an empirical study investigating the effectiveness of SVM and sequence-based kernel methods. Sequence-based kernel methods showed slightly better performance than generic RBF kernel with same frequency of false alarms. In addition, the composition of two kernel methods showed that frequency of false alarms could be further reduced.
Opinion Dynamics with Local Interactions

We study convergence properties of opinion dynamics with local interactions and limited information exchange. We adopt a general model where the agents update their opinions in rounds to a weighted average of the opinions in their neighborhoods. For fixed neighborhoods, we present a simple randomized protocol that converges in expectation to the stable state of the Friedkin-Johnsen model. For opinion-dependent neighborhoods, we show that the Hegselmann-Krause model converges to a stable state if each agent's neighborhood is restricted either to a subset of her acquaintances or to a small random subset of agents. Our experimental findings indicate that for a wide range of parameters, the convergence time and the number of opinion clusters of the neighborhood-restricted variants are comparable to those of the standard Hegselmann-Krause model.
Critical Success Factors for ERP Implementations

Enterprise resource planning software integrates the administration of all parts of a business into one system that provides process efficiencies and real time visibility of business activities. ERP projects are complex and require a review of critical success factors before implementation. Determining the key critical success factors and their application is critical for all project stakeholders. This study focuses on these elements and provides relevant information for project managers, project teams, steering committees, and project sponsors. Critical Success Factors in ERP 4 | P a g e Table of
Optimal and suboptimal resource allocation for two-hop OFDM-based multi-relay cognitive networks

We consider a cognitive relay network with multi-relay nodes where the cognitive network transmits over the unused spectrum bands originally allocated to the primary system. This paper presents an optimal and suboptimal schemes that optimize the subcarrier pairs, relay selection and power allocation so that the total system capacity is maximized while guaranteeing that the interference introduced to the primary system is not harmful. The optimal scheme adopts the dual decomposition technique to allocate the different resources. In order to reduce the computational complexity of the optimal scheme, a greedy suboptimal algorithm is proposed. The suboptimal algorithm jointly allocates the different resources by considering channels quality, interference to the primary system and relaying strategy. The performance of the different scheme is discussed through the numerical simulations.