Miracle-dz/UniFAR-FTUs huggingface dataset:
Importance of considering induction motor load for studying impact of photovoltaic generation on transient stability of power systems

In this study, we investigate the importance of modeling induction motor (IM) loads for studying the impact of photovoltaic power generation (PV) systems on the transient stability of power systems. First, the impact of modeling the IM load is investigated for a one-machine infinite-bus system. In a numerical example, the load is modeled by a static load or composite load that includes the IM. We evaluate the impact of the fault ride-through (FRT) capability of the PV system on the transient stability under each load condition using the equal area criterion. The impact of modeling the IM load is then investigated for a multi-machine power system by changing the ratio of the IM load to the total load. The numerical examples show that the advanced FRT capability of the PV system after a voltage sag has both desirable and undesirable effects on the transient stability, depending on the load condition.
Music Genre Classification with Paralleling Recurrent Convolutional Neural Network

Deep learning has been demonstrated its effectiveness and efficiency in music genre classification. However, the existing achievements still have several shortcomings which impair the performance of this classification task. In this paper, we propose a hybrid architecture which consists of the paralleling CNN and Bi-RNN blocks. They focus on spatial features and temporal frame orders extraction respectively. Then the two outputs are fused into one powerful representation of musical signals and fed into softmax function for classification. The paralleling network guarantees the extracting features robust enough to represent music. Moreover, the experiments prove our proposed architecture improve the music genre classification performance and the additional Bi-RNN block is a supplement for CNNs.
A Simplified Model Structure for an Activated Sludge System

Abstract Activated sludge system is the essential technology in use for municipal wastewater treatment plant. The system design for pollutants removal, safety analysis and experimentation relied upon an effective, straightforward and reliable model. However, most of the available models are too complex to use for control purposes either practically or via simulation. Therefore, vehement need for a simplistic and efficient model could not be avoided. This paper presents a simplified model structure for an activated sludge system using neuro-fuzzy system. Efficiency, ease of use, effectiveness and fast convergence are some of the alluring qualities of neuro-fuzzy technique. Building a reliable and flexible model requires validation with full scale or experimental data. Therefore, with the use of the full-scale data from the domestic wastewater treatment plant in Malaysia, the validation was achieved. For comparison, auto regressive with exogenous input (ARX) model was used. Simulation studies showed that the proposed method produced promising results, thus revealing the technique is effective and robust in modelling the activated sludge system.
Stochastic Models for Combined Security and Dependability Evaluation

Security is a topic of ever increasing interest. Today it is widely accepted that, due to the unavoidable presence of vulnerabilities, design faults and administrative errors, an ICT system will never be totally secure. Connecting a system to a network will necessarily introduce a risk of inappropriate access resulting in disclosure, corruption and/or loss of information. Therefore, the security of a system should ideally be interpreted in a probabilistic manner. More specifically, there is an urgent need for modelling methods that provide operational measures of the security. Dependability, on the other hand, is the ability of a computer system to deliver service that can justifiably be trusted. In a dependability context one distinguishes between accidental faults, which are modelled as random processes, and intentional faults, i.e., attacks, which in most cases are not considered at all. A major drawback of this approach is that attacks may in many cases be the dominating failure source for today’s networked systems. The classical way of dependability evaluation can therefore be very deceptive: highly dependable systems may in reality fail much more frequently than expected, due to the exploitation from attackers. To be considered trustworthy, a system must be both dependable and secure. However, these two aspects have so far tended to be treated separately. A unified modelling framework for security and dependability evaluation would be advantageous from both points of view. The security community can benefit from the mature dependability modelling techniques, which can provide the operational measures that are so desirable today. On the other hand, by adding hostile actions to the set of possible fault sources, the dependability community will be able to make more realistic models than the ones that are currently in use. This thesis proposes a stochastic modeling approach, which can be used to predict a system’s security and dependability behavior. As will be seen, the basic model has a number of possible applications. For example, it can be used as a tool for trade-off analysis of security countermeasures, or it can be used as a basis for real-time assessment of the system trustworthiness.
An area and phase noise improved 19-GHz down-converter VCO for 77-GHz automotive radar frontends in a SiGe Bipolar Production Technology

A down-converter including a voltage controlled oscillator (VCO), buffer, mixer, and prescaler is presented. The fully differential circuit configuration of the down-converter operates in a frequency range from 17.7 GHz to 19.4 GHz at a 5.5 V supply. The overall current consumption at room-temperature is 186 mA. The VCO has been improved in terms of area consumption and phase noise.
On the discrete logarithm in the divisor class group of curves

Let X be a curve which is defined over a finite field k of characteristic p. We show that one can evaluate the discrete logarithm in Pic 0 (X) p n by O(n 2 log p) operations in k. This generalizes a result of Semaev for elliptic curves to curves of arbitrary genus.
Research on ancient DNA in the Near East

In the early 1990s, when studies of ancient DNA became possible, new perspectives of analyzing archaeological data also developed. Nowadays, because the methodology related to ancient DNA research is well developed, it has been used to reveal several aspects of human history and interaction. Here we review the basic concepts, methodologies, and recent developments in the fi eld of ancient DNA studies with a special refe- rence to the Near East. Th is includes not only human but also animal and bacterial DNA.
Radiation therapy in the treatment of childhood astrocytic gliomas

Of 37 children irradiated for astrocytic gliomas, 15 with cerebral gliomas had a five‐year survival of 72%; this included a very favorable group with deep‐seated tumors. Fifteen patients with brainstem gliomas had a 5‐year survival of 20%. Of four children with cerebellar astrocytomas who received postoperative radiotherapy, three have survived. Three patients with unresectable intracranial optic gliomas were irradiated, and the two survivors have shown recent late symptoms of recurrence. Improved survival rates correlated with the more benign histologic picture. All patients received a tumor dose greater than 4900 rads, but in only one child has there been an apparent complication of radiation. Overall, 11 of 18 survivors lead normal lives. Radiation therapy has a useful place in the modern management of intracranial gliomas not amenable to surgical control.
Diabetic nephropathy: big and bad.

Diabetic nephropathy is the single biggest cause of renal failure in industrialized nations1. In its early stages diabetic nephropathy is typified by renal hypertrophy, increased glomerular filtration rate (GFR) (i.e., hyperfiltration), and increased urinary albumin excretion2,3. Later, as renal injury progresses, urinary albumin excretion further increases and GFR progressively declines, accompanied by pronounced mesangial expansion, glomerulosclerosis, tubular atrophy, and interstitial fibrosis2,3. It has been presumed that early hypertrophic changes in the mesangium, endothelium4, and podocytes are integral to the subsequent development of more severe renal histopathologic changes. Nevertheless, the mechanisms initiating and regulating the functional changes in these renal cells remain incompletely characterized, and whether cell hypertrophy is a necessary antecedant to the progression of diabetic nephropathy has not been conclusively demonstrated.
Intracranial fluids dynamics: a quantitative evaluation by means of phase-contrast magnetic resonance imaging

El volumen intracraneal lo integran el volumen de liquido cefalorraquideo (LCR), el de la sangre y el del parenquima cerebral. La entrada de sangre al craneo en la sistole incrementa el volumen intracraneal. Segun la ley de Monroe-Kellie debe ocurrir una descompensacion en los volumenes restantes para mantener constante el volumen total. Los desequilibrios que se producen en este proceso de la homeostasis cerebral se han asociado tanto a enfermedades neurodegenerativas como a cerebrovasculares. Por tanto, es necesario contar con metodologias adecuadas para analizar la dinamica de los fluidos intracraneales (LCR y sangre). Las secuencias dinamicas de resonancia magnetica en contraste de fase (RM-CF) con sincronismo cardiaco permiten cuantificar el flujo de LCR y de sangre durante un ciclo cardiaco. La medicion de flujo mediante secuencias de RM-CF es precisa y reproducible siempre que se use un protocolo de adquisicion adecuado. La reproducibilidad y exactitud de las medidas dependen tambien del uso de tecnicas adecuadas de posproceso que permitan segmentar las regiones de interes (ROI) independientemente del operador y admitan corregir los errores de fondo introducidos por la supresion imperfecta de las corrientes inducidas y la contribucion a la senal de los pequenos movimientos que presenta el mesencefalo por la transmision del pulso vascular asi como el submuestreo (aliasing), reflejado como un cambio abrupto y opuesto del sentido original del flujo. Estas tecnicas de analisis deben tambien tener en cuenta los errores relacionados con el efecto de volumen parcial (EVP), causado por la presencia de tejido estacionario y de flujo en el interior de los voxeles de la periferia de la region a estudiar El objetivo principal de esta tesis es desarrollar una metodologia reproducible para evaluar cuantitativamente la dinamica de los fluidos intracraneales dentro de espacios de LCR (acueducto de Silvio, cisterna prepontina y espacio perimedular C2C3) y principales va
Concurrent error detection in GF(2m) multiplication and its application in elliptic curve cryptography

A novel approach to achieve concurrent error detection in finite-field multiplication over GF(2 m ) that uses multiple-bit interlaced parity codes is presented. These codes are implemented as a generic parity checker, which means they can be used with any multiplier architecture. Relative to the number of parity bits used, much improved delay and error-detection performance are achieved compared to previously reported results, yet for the examples considered the area overhead did not exceed 12%. The proposed work is particularly important for cryptography implementations employing GF(2 m ) multipliers and requiring reliability and protection against adversarial attacks that use fault induction.
A computational framework for distinguishing direct versus indirect interactions in human functional protein-protein interaction networks.

Recognition of indirect interactions is instrumental to in silico reconstruction of signaling pathways and sheds light on the exploration of unknown physical paths between two indirectly interacting genes. However, very limited computational methods have explicitly exploited the indirect interactions with experimental evidence thus far. In this work, we attempt to distinguish direct versus indirect interactions in human functional protein-protein interaction (PPI) networks via a predictive l2-regularized logistic regression model built on the experimental data. The l2-regularized logistic regression method is adopted to counteract the potential homolog noise and reduce the computational complexity on large training data. Computational results show that the proposed model demonstrates promising performance even though the training data are highly skewed. From the 304 799 PPIs that are curated in several databases, the proposed method detects 23 131 indirect interactions, most of which have been verified by the breadth-first graph search algorithm to find dozens of physical paths between the interacting partners. Pathway enrichment analysis shows that most of the physical paths can be mapped onto more than one human signaling pathway, indicating that there do exist a series of biochemical signals between the two indirectly interacting genes. The interactome-scale computational results promise to provide useful cues to the following applications: (1) exploration of unknown physical PPIs or physical paths between two indirectly interacting genes; (2) amending or extending the existing signaling pathways; (3) recognition of the physical PPIs for druggable target discovery.
Nouveau modèle pour la datation automatique de photographies à partir de caractéristiques visuelles

Nous presentons, dans cet article, une methode de datation de photographies par l’usage du contenu visuel de celles-ci. Nous nous sommes inspires de travaux recents de la vision par ordinateur. Nous avons ameliore la methode de classification utilisee dans ces travaux en depassant une limite intrinseque de leur approche. En effet, ils considerent la datation d’images comme un probleme de classification multi-classes, pour lequel une classe represente un ensemble d’annees, mais ignorant l’ordre relatif sous-jacent a l’information temporelle. Dans leur approche soit une prediction est bonne (periode valide) soit elle est mauvaise (periode invalide) mais aucune difference n’est faite entre se tromper d’une decennie ou de plusieurs. Nos travaux, s’appuient sur des avancees recentes en classification ordinale. Nous considerons les dates comme des attributs a la fois ordonnes et relatifs et nous proposons un cadre specifique pour les manipuler.
Mirror treatment of lower limb phantom pain: A case study

Purpose: Phantom limb pain (PLP) can be an enduring and distressing experience for people with amputations. Previous research has shown that ‘mirror treatment’ can reduce PLP for some people who have an upper limb amputation, and that it can increase a sense of motor control over the phantom in people with lower limb amputations who are not reporting PLP. There has been no previous report of therapeutic ‘mirror treatment’ for lower-limb phantom pain. Method: We present the first case study of the use of ‘mirror treatment’ in a person with a lower limb amputation who was reporting PLP at the time of treatment. Results: During the intervention there was a significant reduction in his PLP, an increase in sense of motor control over the phantom and a change in aspects of the phantom limb that was experienced. Conclusion: This case study, conducted in a conventional clinical setting, supports the potential of ‘mirror treatment’ for PLP in people with a lower limb amputation.
Diffraction Field Reconstruction in Millimeter-Wave SIW Ten-Way Power Divider by Shape Optimization Technology

In this paper, a method to reconstruct the diffraction field in a millimeter-wave substrate integrated waveguide ten-way power divider by shape optimization technology is proposed. The diffraction field is reconstructed by changing the location of the metallized via hole array, which can be regarded as a continuous cylindrical reflector. The receiving diffraction field is optimized to a quasi-plane wave to be received by a transition array to achieve good magnitude and phase balance as a power dividing circuit. The proposed power divider is operated at the center frequency of 33 GHz, and over the entire Ka-band 26.5–40 GHz the return loss is less than −21 dB. The simulated insertion loss is about −12.6 dB corresponding to 54.7% power combining efficiency considering the dielectric loss, conductor loss, and radiation loss.
Does Intact Pair Status Matter in the Study of African American Twins? The Carolina African American Twin Study of Aging

In twin research, typically both members of a pair must participate. Survivorship of members of intact pairs compared to surviving members of nonintact twin pairs may reflect differences in psychosocial and health factors, and represent a potential selection bias relative to the general population. The purpose of the present study is to examine health, cognition, and well-being among members of African American intact twin pairs compared to individuals from nonintact twin pairs. Data from the Carolina African American Twin Study of Aging (CAATSA) were used for analyses. Subjects ranged in age from 25 to 89 years of age (mean=59.78 years, SD=12.84 years). CAATSA implements a 3-h protocol to collect data on demographics, health, cognition, and well-being. Data from one randomly selected member of each twin pair (N=78) was compared to data from surviving members of nonintact twin pairs (N=52). The results indicated significant differences on 11 of the 39 measures (i.e., age, education, forced expiratory volume, mean standing and sitting systolic and diastolic blood pressures, cognitive impairment score, alpha span, digit symbol, and logical memory). In each case, members of intact twin pairs performed better than surviving members of nonintact twin pairs. After controlling demographic variables, only blood pressures differed between the groups. It appears that using only pairs in research on older African American twins may represent a selection bias in estimating origins of individual variability in cognitive functioning and health but not psychological well-being.
Realization of computer supported cooperative work environments using the object deputy model

In conventional computer supported cooperative work (CSCW) systems, usually only one video-based environment is shared by all the users. In this paper, we show that multiple environments are required and they can be realized by utilizing object-oriented database technology. A cooperative work environment can be regarded as a room where users work together by sharing documents and equipment through available communication facilities. In one environment, users, documents and equipment are handled as objects, and these different types of objects have some attributes and methods in common, such as location attributes and layout methods. However, using the existing concepts of the conventional object-oriented model, such as classes, complex objects and collection objects, it is difficult to define one environment: namely, a set with different types of elements but having some attributes and methods in common. The object deputy model, introduced by the authors, can be extended to formulate such environments. Since the object deputy model can uniformly handle object views, roles, migration and multiple inheritance, we can realize flexible, dynamic and powerful environments based on object-oriented databases.
Decizii pe baza de costuri in conditii de incertitudine

La connaissance des couts est un element d'information pour la prise de la decision, y compris en conditions d'incertitude. Plus exactement, le choix d'un sisteme de comptabilite des couts doit etre adapte au specifique des decisions. Cependant, la decision depend des evenements qui sont significatifs pour l'evaluation des alternatives, de cout du systeme d'information de l'entreprise et aussi de conditon de l'optimum poursuivi par le decident. Le calcul de la valeur moyenne estimee ou l'utilisation des regles decisionnelles alternatifs est seulement une source d'information pour les decidents.
Familial sarcoma: challenging pedigrees

BACKGROUND. Partially due to the rare occurrence of soft tissue and osteogenic sarcomas in the general population, scant attention has been given to their hereditary etiology. Their overall poor prognosis might be ameliorated through an understanding of their environmental and hereditary causal factors, and/or their interactions, thereby contributing to earlier diagnosis and even the development of molecularly based targeted therapy. METHODS. The authors selected 10 sarcoma-prone families from their extensive hereditary cancer-prone family resource and focused on their challenging diagnostic, surveillance, and management features. The family study protocol included the compilation of a detailed family history of malignant disease of all anatomic sites and the collection of all available primary medical and pathology documents for verification. Genetic counseling was provided before DNA collection and at disclosure of results. RESULTS. These families displayed marked phenotypic and genotypic heterogeneity. In one of these families, 16 relatives had sarcomas, with 2 of the 16 each having 2 metachronous sarcomas; to our knowledge, this represents the greatest number of sarcomas reported in any family described to date. Two familial atypical multiple-mole melanoma syndrome kindreds with the CDKN2A mutation showed the association of sarcoma with malignant melanoma, whereas one family had several pancreatic carcinomas. Other families with sarcoma had hereditary nonpolyposis colorectal carcinoma with MSH2 mutation, hereditary breast carcinoma with BRCAI mutation, and p53 mutation in a Li-Fraumeni syndrome. CONCLUSIONS. Sarcoma-prone families reported in the current study were selected carefully to depict clinicopathology and compliance features, the understanding of which could elucidate the etiologic role of genetic factors in concert with the phenotypic and genotypic heterogeneity encountered in such families. The lack of a population-based data set for these families posed a limitation.
Significant Improvements of EEG and Clinical Findings With Oral Lacosamide in a Patient With Ring Chromosome 20

To the Editor, Lacosamide (LCM) was recently approved as an adjunctive therapy for partial-onset seizures with a different mechanism of action that may underly for its effectiveness in intractable epilepsy. In animal models, its utility to reduce the cumilative seizure time of self-sustaining status epilepticus and hippocampal neuronal damage was shown. In 3 randomized doubleblind, placebo-controlled, multicenter trials in more than 1200 patients, efficiency of LCM was studied and they reported a significant reduction in seizure frequency with doses of 200 to 600 mg/d. Additionally, as a result of new clinical studies on status epilepticus (SE), LCM remarked compared with other new antiepileptic drugs (AED). Here, we present a very rare patient with ring chromosome (R20) who was admitted for refractory epilepsy with frequent secondary generalized seizures (SGTCS) and nonconvulsive status epilepticus (NCSE) episodes. Interestingly, her frequent seizures and EEG findings with NCSE have been significantly improved with an add on treatment of oral lacosamide.