Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of the Oedipus Complex on the Perceived Romantic Security of Males

In Freudian psychoanalysis, Oedipus complex refers to the attachment, usually to the extent of sexual desire, of a son to his mother. It typically occurs during the son's age of three to five years old and is said to be a precursor of future romantic attachment styles. If left unresolved, the Oedipus complex will lead to social interaction defects. With the above premise, this research determined the role of Oedipus complex on the perceived romantic security of male students. Data for this mixed explanatory methodology research were obtained through purposive homogenous sampling design with 51 male students engaged in a romantic relationship as the main respondents of the study. Using descriptive and multiple linear regression analysis, the researchers established the impact of Oedipus complex on perceived romantic security. It was revealed that there existed an adverse effect of Oedipus complex on perceived romantic security such that as they become more attached to their mothers, the more is the tendency for them to develop anxiety concerning their relationship status. The study concluded that the Oedipus complex is one of the factors that affect the perceived romantic insecurity of males. The authors recommend further investigations on the aspect of unresolved Oedipus complex since their data regarding it is limited.
A Dynamic Voting Wiki Model

Defining a problem and understanding it syntactically as well as semantically enhances the decision process because the written agenda and solutions are understood on a token level. Consensus in groups can be challenging in present web based environments given the dynamics of types of interactions and needs. Larger virtual communities are beginning to use wiki based decision support systems for time critical interactions where the quality of the information is high and a near real time feedback system is necessary. Understanding the meaning of the problem and group consensus can be improved exploiting a voting enhanced wiki structure implemented into select parts of the decision making process. A decision support model integrating a wiki structure and a social decision support system (voting) is presented. Findings from a pilot study describe differences of idea generation between groups. Other issues are identified requiring further research.
Prevention of ischemic acute renal failure with impermeant solutes.

Studies were performed to evaluate the effect of solute permeability and extracellular osmolality in protecting against ischemic acute renal failure. The functional protective effect of a 1-min intrarenal perfusion (prior to intrarenal norepinephrine 0.75 micrograms . kg-1 . min-1) of a hypertonic permeant solute (hypertonic saline, 1,400 mosmol/kg H2O) and an isotonic impermeant solute (isotonic mannitol, 280 mosmol/kg H2O or isotonic polyethylene glycol, IPEG, 300 mosmol/kg H2O) was evaluated. Three hours after ischemia, the glomerular filtration rate was significantly lower in hypertonic saline group vs. either the isotonic mannitol- or IPEG-treated animals (2.4 vs. 8.9 and 10.4 ml/min, respectively; both P less than 0.05). Mean renal blood flow was similar in all three groups. The effects of hypertonic saline and IPEG on glomerular filtration pressure and tubular obstruction were also evaluated. Stop-flow pressure, as an index of glomerular filtration pressure, was higher in the IPEG- vs. the hypertonic saline-treated animals (40 vs. 35 mmHg, P less than 0.001). Although proximal tubular pressure was increased in both groups, transglomerular hydrostatic pressure was higher in the IPEG vs. the hypertonic saline group (13 vs. 6 mmHg, P less than 0.01). Tubular microperfusion studies demonstrated increases in proximal tubular pressure in the hypertonic saline but not the IPEG studies. The present results indicate that isotonic, impermeant solutes provide functional protection against ischemic acute renal failure. The beneficial effect of impermeant solute is mediated, at least in part, by better maintenance of transglomerular hydrostatic pressure and prevention of secondary tubular obstruction.
Bounded stabilisation of stochastic port-Hamiltonian systems

This paper proposes a stochastic bounded stabilisation method for a class of stochastic port-Hamiltonian systems. Both full-actuated and underactuated mechanical systems in the presence of noise are considered in this class. The proposed method gives conditions for the controller gain and design parameters under which the state remains bounded in probability. The bounded region and achieving probability are both assignable, and a stochastic Lyapunov function is explicitly provided based on a Hamiltonian structure. Although many conventional stabilisation methods assume that the noise vanishes at the origin, the proposed method is applicable to systems under persistent disturbances.
Genome-scale strain designs based on regulatory minimal cut sets

MOTIVATION Stoichiometric and constraint-based methods of computational strain design have become an important tool for rational metabolic engineering. One of those relies on the concept of constrained minimal cut sets (cMCSs). However, as most other techniques, cMCSs may consider only reaction (or gene) knockouts to achieve a desired phenotype. RESULTS We generalize the cMCSs approach to constrained regulatory MCSs (cRegMCSs), where up/downregulation of reaction rates can be combined along with reaction deletions. We show that flux up/downregulations can virtually be treated as cuts allowing their direct integration into the algorithmic framework of cMCSs. Because of vastly enlarged search spaces in genome-scale networks, we developed strategies to (optionally) preselect suitable candidates for flux regulation and novel algorithmic techniques to further enhance efficiency and speed of cMCSs calculation. We illustrate the cRegMCSs approach by a simple example network and apply it then by identifying strain designs for ethanol production in a genome-scale metabolic model of Escherichia coli. The results clearly show that cRegMCSs combining reaction deletions and flux regulations provide a much larger number of suitable strain designs, many of which are significantly smaller relative to cMCSs involving only knockouts. Furthermore, with cRegMCSs, one may also enable the fine tuning of desired behaviours in a narrower range. The new cRegMCSs approach may thus accelerate the implementation of model-based strain designs for the bio-based production of fuels and chemicals. AVAILABILITY AND IMPLEMENTATION MATLAB code and the examples can be downloaded at http://www.mpi-magdeburg.mpg. de/projects/cna/etcdownloads.html. CONTACT krishna.mahadevan@utoronto.ca or klamt@mpi-magdeburg.mpg. de SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
The Excel Format of the Carcinogenic Potency Database

The Excel format is derived from the Carcinogenic Potency Database (CPDB) of Gold et al. that has been published in several earlier papers. This Excel format includes the same information as the plot version, and therefore the methods and guide to the plot provide details on what is summarized here. The CPDB is a single standardized resource of the results of 45 years of chronic, long-term carcinogenesis bioassays. The experiments vary widely in design, histopathological examination and nomenclature, and in the published authors’ choices of what information to publish in their papers. Data are included from 6153 experiments reported in the general literature and in the in Technical Reports of the National Cancer Institute/National Toxicology Program (NCI/NTP). Information is given in the CPDB on strain, sex, route of compound administration, target organ, histopathology, author’s opinion about carcinogenicity, and reference to the published paper, as well as quantitative data on statistical significance, tumor incidence, dose-response curve shape, length of experiment, duration of dosing, and dose-rate. The files on this Web site for the Excel format include (A) documentation of methods, field descriptions, and linking instructions; (B) Excel files; and (C) ancillary files of appendices.
Evaluation and design of wavelet packet cepstral coefficient (WPCC) for a noisy Indonesian vowels signal

Wavelet feature,Wavelet Packet Cepstral Coefficient (WPCC),is widely used both in speaker and speech recognition systems. WPCC is designed to replace the role of MFCC. Unfortunately, WPCC still needs to be developed primarily in the process of extracting a noisy signal.Since the possibility of noise mapped into nodes as a result of wavelet decomposition and being a feature coefficient is very high. Therefore, this study aims to analyze the raw design of WPCC filters which extracted from a noisy signal.Mean Best Basis (MBB)algorithm with wavelet function db44 and db45 is applied to obtain it. The results show, based on the average SNR value, all data used in this study categorized as noisy signals. The implementation of MBB with db44 and db45 wavelet function able to generate the raw design of WPCC filter. Only two types of raw design created. Both have a different number of nodes, each with 59 nodes and 37 nodes. The noise does not influence this difference,but the effect of the entropy usage, the spectral properties of Indonesian vowel signals, and the wavelet function applied.
Therapeutic strategy to rescue mutation‐induced exon skipping in rhodopsin by adaptation of U1 snRNA

Retinitis pigmentosa (RP) is a degenerative retinopathy leading to visual impairment in more than 1.5 million patients worldwide. Splice site (SS) mutations cause various diseases including RP. Most exonic donor splice‐site (DS) mutations are reported at the last nucleotide of an exon and over 95% of them are predicted to result in missplicing. A novel human mutation at the last nucleotide of exon 4 in rhodopsin (RHO, c.936G>A) is shown to generate two misspliced transcripts in COS 7 cells and retinal explants. One of these transcripts skips exon 4 whereas the other activates a cryptic DS. Both are predicted to result in truncated RHO, explaining the pathogenic mechanism underlying the patient's RP phenotype. U1 snRNA‐mediated DS recognition is a key step in the splicing process. As a therapeutic strategy, U1 snRNAs were adapted to the novel RHO mutation and tested for its potential to reverse missplicing. The rescue efficiency for misspliced transcripts of RHO was examined by quantitative RT‐PCR. Using mutation‐adapted U1 snRNA, we observed significantly reduced exon skipping that reached wild‐type levels. Nevertheless, activation of the cryptic splice site (CS) was still detected. To test the feasibility of the strategy for mutations that only cause exon skipping, we inactivated the CS. Indeed, adapted U1 snRNA was able to rescue almost 90% of misspliced transcripts. This study shows that modified U1 snRNAs constitute a promising therapeutic strategy to treat DS mutations. Our findings have implications for various diseases caused by similar mutations. Hum Mutat 0, 1–10, 2008, © 2008 Wiley‐Liss, Inc.
An Exact Decomposition Approach for the Real-Time Train Dispatching Problem

Trains' movements on a railway network are regulated by official timetables. Deviations and delays occur quite often in practice, demanding fast rescheduling and rerouting decisions in order to avoid conflicts and minimize overall delay. This is the real-time train dispatching problem. In contrast with the classic "holistic" approach, we show how to decompose the problem into smaller subproblems associated with the line and the stations. This decomposition is the basis for a master-slave solution algorithm, in which the master problem is associated with the line and the slave problem is associated with the stations. The two subproblems are modeled as mixed integer linear programs, with specific sets of variables and constraints. Similarly to the classical Benders' decomposition approach, slave and master communicate through suitable feasibility cuts in the variables of the master. Extensive tests on real-life instances from single and double-track lines in Italy showed significant improvements over current dispatching performances. A decision support system based on this exact approach has been in operation in Norway since February 2014 and represents one of the first operative applications of mathematical optimization to train dispatching.
A coupled nonlinear spacecraft attitude controller and observer with an unknown constant gyro bias and gyro noise

We propose a new algorithm for estimating constant biases in gyro measurements of angular velocity, and demonstrate that the resulting estimates converge to the true bias values exponentially fast. The new observer is then combined with a nonlinear attitude tracking control strategy in a certainty equivalence fashion, and the combination shown via Lyapunov analysis to produce globally stable closed-loop dynamics, with asymptotically perfect tracking of any commanded attitude sequence. The analysis is then extended to consider the effects of stochastic measurement noise in the gyro in addition to the bias. A simulation is given for a rigid spacecraft tracking a specified, time-varying attitude sequence to illustrate the theoretical claims.
Compilation of Language Resources and On-Line Dissemination of Knowledge about Endangered Languages and Linguistic Heritage

This paper presents selected results of two projects concerning compilation of language resources and dissemination of knowledge about endangered languages and language documentation primarily among nonacademic target groups. Both projects include data from one of the Baltic languages, Latgalian. The aim of the paper is to discuss the main features of the resources as well as to show the interest of these projects from a Baltic perspective and their usefulness for further research and development.
Proactive Desk II: Development of a New Multi-object Haptic Display Using a Linear Induction Motor

The Proactive Desk is a force feedback system using a two-degree of freedom linear induction motor (LIM) designed for ordinary desktop operations. The system provides two-dimensional force feedback on a desktop surface, but only for a single object. This means that when several users operate this system together, only one user at a time can acquire force feedback from the system. In this paper, we propose a new-generation haptic display, Proactive Desk II, which uses an advanced LIM for multi-object driving, and develop a prototype system based on our approach. The system employs a cluster of coils for producing magnetic fluxes individually underneath the desktop, and those synthesize several traveling magnetic fields as a result. These magnetic fields simulate a local region of the field generated by our first-generation system, being able to drive multiple objects separately.
Knowledge lost in translation: the role of knowledge brokers in knowledge transfer

In this paper, we propose to interpret the circulation of knowledge in organisations as a process of translation: knowledge is not only transferred between two entities but transformed during that process. We examine a case of knowledge transfer in a multinational company. The absence of a 'neutral translator' inside the network of actors creates conflicts of meanings between the sender and the receiver of knowledge. The examination of the chain of transformation helps us to analyse the role of brokers during this process.
Aplicación de criterios botánicos para a proposta de modelos de xestión sustentable das masas arborizadas autóctonas do subsector galaico-asturiano septentrional

En esta Memoria Doctoral se realiza una actualizacion de los conocimientos sobre la cubierta vegetal arbolada existente en el Subsector Galaico-Asturiano Septentrional (NW Iberico), como paso previo para la evaluacion de su estado de conservacion y de su importancia para el mantenimiento de la biodiversidad vegetal dentro del contexto cantabro-atlantico iberico, asi como para la propuesta de las actuaciones que, desde la perspectiva de la Gestion Forestal Sostenible auspiciada por la UE, es necesario poner en practica para garantizar el uso multiple e indefinido en el tiempo de este recurso. La aplicacion de los analisis estadisticos a los 702 inventarios floristicos que constituyen la base de datos sobre la que se ha elaborado este trabajo, junto con su interpretacion a traves de la metodologia fitosociologica sigmatista, permitieron describir y caracterizar dentro del area de estudio un total de 21 asociaciones vegetales de porte arboreo, de las que 8 se consideran nuevas para la ciencia. A su vez, dentro de este conjunto de comunidades se establecen 22 subasociaciones, 30 variantes y 30 facies. A la vista del esquema sintaxonomico vigente, dentro del area de estudio existen bosques pertenecientes a cinco clases fitosociologicas, siete ordenes y once alianzas. Se consideran como novedades remarcables para el territorio estudiado los bosques incluidos en las alianzas Tilio-Acerion y los soutos pertenecientes a la alianza (provicional) Blechno spicant-Castanion sativae. La observacion de las relaciones floristicas, dinamicas y catenales existentes entre los diferentes tipos de bosques reconocidos han permitido precisar el numero y distribucion de las de vegetacion existentes dentro del Subsector Galaico-Asturiano Septentrional, en el que reconocen un total de 10 sigmeta. El analisis del reparto espacial de dichas series de vegetacion se ha utilizado para redefinir geograficamente la unidad biogeografica en
Local Interaction Simulation Approach for Fault Detection in Medical Ultrasonic Transducers

A new approach is proposed for modelling medical ultrasonic transducers operating in air. The method is based on finite elements and the local interaction simulation approach. The latter leads to significant reductions of computational costs. Transmission and reception properties of the transducer are analysed using in-air reverberation patterns. The proposed approach can help to provide earlier detection of transducer faults and their identification, reducing the risk of misdiagnosis due to poor image quality.
Design and simulation of a 1.3 GHz input klystron cavity

This paper presents a sequence of steps to begin the project of a cylindrical reentrant klystron cavity for 1.3 GHz. One analytical method and different CAD tools such as SUPERFISH and 3D eigenmode solver have been used for designing the cavity. The external coupling problem of the cavity is also discussed and is proposed a technique to get the critical coupling.
How do we assess microsurgical skill?

How does one demonstrate competence in microsurgery? This will become an increasingly more important question as further reforms in surgical training and revalidation are implemented. Any assessment of competence should include an assessment of technical skill, but there is presently no validated objective assessment technique to do this. We examine the ideal characteristics of an assessment technique and review the methods currently being validated and which could be applicable to microsurgical skills. © 2005 Wiley‐Liss, Inc. Microsurgery 25:25–29, 2005.
Modelling Cancer Chemotherapy with Side-effects

Modelling and Analyzing chemotherapy treatment for cancer using mathematical framework is a complex optimization problem with huge number of constraints and variables. Previous researches have shown that several approaches can be applied to the cancer chemotherapy problem with various degree of success. In our previous work, we proposed a set of controlled stochastic differential equations to model the drug scheduling with quadratic cost criteria in cancer chemotherapy process. We developed a fast and efficient algorithm to solve such complex optimization problem. However, the obtained results did not take into account the toxicity or side-effects of the treatment. In this work, we present an extended version of the previous model, a parsimonious tradeoff between drug dose and toxic side effects is carefully implemented. The ultimate goal here being optimizing drug scheduling to finding appropriate treatment design from many possibilities, we applied a novel version of Adapted Genetic Algorithm to reach optimal solution to the problem. Here we will present and discuss these new findings.
Study on performance of multi-secondary movable loosely coupled transformer for contactless power transfer system

Contactless power transfer (CPT) system is widely used in high power recently. The characteristics of contactless transformer in CPT system have powerful influences to the performance of whole system. This paper studies the performance on movable loosely coupled transformer (MLCT) for CPT system, which can be used in rail transit system. Making use of 3D finite element methods, this paper investigates the factors influencing on the output voltage stability, including the longitudinal displacement, the air gap and the rotation angle around different axis. The results of such studies verify that a reasonable structural design of multi-secondary partly contributes to improve voltage stability.
Rethinking Nature: Phenomenology and a Non-reductionist Cognitive Science

Abstract Resistance to the idea that phenomenology can be relevant to cognitive scientific explanation has faced two objections advanced, respectively, from both sides of the issue: from the scientific perspective it has been suggested that phenomenology, understood as an account of first-person experience, is ultimately reducible to cognitive neuroscientific explanation; and from a phenomenological perspective it has been argued that phenomenology cannot be naturalized. In this context it makes sense to consider that the notion of scientific reduction is linked to a classic scientific conception of nature. I argue that if properly understood, the proposal to rethink the concept of nature itself, in enactivist phenomenological approaches, undermines the reductionist program and redefines what it means for phenomenology to be naturalized.
Effective Vision‐based Classification for Separating Sugar Beets and Weeds for Precision Farming

The use of robots in precision farming has the potential to reduce the reliance on herbicides and pesticides through selectively spraying individual plants or through manual weed removal. A prerequisite for that is the ability of the robot to separate and identify the value crops and the weeds in the field. Based on the output of the robot's perception system, it can trigger the actuators for spraying or removal. In this paper, we address the problem of detecting sugar beet plants as well as weeds using a camera installed on a mobile field robot. We propose a system that performs vegetation detection, local as well as object‐based feature extraction, random forest classification, and smoothing through a Markov random field to obtain an accurate estimate of crops and weeds. We implemented and thoroughly evaluated our system using a real farm robot in different sugar beet fields, and we illustrate that our approach allows for accurately identifying weeds in a field.