Miracle-dz/UniFAR-FTUs huggingface dataset:
My psychosis and meds

ABSTRACT The purpose of this article is to provide, personal testimony that psychiatric medications are not scientifically necessitated as the primary means to treat psychosis. There are alternatives to psychiatric medication, and, particularly, the long-term use of these medications should not be assumed. Psychosis is nominally diagnosed as ‘severe mental illness’, ‘disease’, and ‘chronic’. These labels are toxic, too, and the system of diagnosis creates unintended stigma that hinders community inclusion, acceptance and recovery. The emphasis upon psychiatric medication treatment – and the system design – therefore, is debated. The medical-model of impersonal classifications of chronic diseases denies and/or slows recovery, and proper healing. The medical-model is a constructed (false) narrative, when looked at scientifically, lacks serious credibility and shows apparent unsustainability. An alternative approach is necessary to displace the outdated and, presently, conventionally utilized medical-model. New treatments and other approaches must address the reality that people can and do recovery, without medication. In conclusion, treatment for psychosis must give attention to understand one’s experiences in the context of life’s events and interpersonal narratives, to provide meaning, acceptance and purpose.
Variations of Bacterial Community Structure and Composition in Mangrove Sediment at Different Depths in Southeastern Brazil

Tropical mangroves are considered one of the most productive ecosystems of the world, being characterized as nurseries and food sources for fish and other animals. Microorganisms play important roles in these environments, and the study of bacterial communities is of paramount importance for a better comprehension of mangrove dynamics. This study focused on the structure and composition of bacterial communities in mangrove sediments at different depths and points, located in Southeastern Brazil. Terminal Restriction Fragment Length Polymorphism (T-RFLP) was used to determine the community structure, and 16S rRNA gene pyrosequencing was used to characterize the community composition. Redundancy analysis of T-RFLP patterns revealed differences in bacterial community structure according to soil attributes and depth. The parameters K and depth presented significant correlation with general community structure. Most sequences were classified into the phylum Proteobacteria (88%), which presented differences according to the depth, where the classes Betaproteobacteria (21%) and Deltaproteobacteria (16%) were abundant at 10 cm and Epsilonproteobacteria (35%) was abundant at 40 cm depth. Clear differences were observed in community composition as shown by the differential distribution of the phyla Firmicutes (1.13% and 3.8%, for 10 cm and 40 cm respectively), Chloroflexi (2.8% and 0.75%), and Acidobacteria (2.75% and 0.57%) according to the depth. Bacterial diversity measurements indicated higher diversity in shallow samples. Taken together, our findings indicate that mangrove holds a diverse bacterial community, which is shaped by the variations found in the ecosystem, such as sediment properties and depth.
Essential Hypertension: An Approach to Its Etiology and Neurogenic Pathophysiology

Essential hypertension, a rise in blood pressure of undetermined cause, includes 90% of all hypertensive cases and is a highly important public health challenge that remains, however, a major modifiable cause of morbidity and mortality. This review emphasizes that, from an evolutionary point of view, we are adapted to ingest and excrete <1 g of sodium (2.5 g of salt) per day and that essential hypertension develops when the kidneys become unable to excrete the amount of sodium ingested, unless blood pressure is increased. The renal-mean arterial pressure set-point model is briefly described to explain that a shift of the pressure natriuresis relationship toward abnormally high pressure levels is a pathophysiological characteristic of essential hypertension. Evidence indicating that this anomaly in the pressure natriuresis relationship arises from a sympathetic nervous system dysfunction is briefly formulated, and the most widely accepted pathophysiologic proposal to explain the development of this sympathetic dysfunction is described, with commentaries about novel action mechanisms of some drugs currently used in essential hypertension treatment.
Vaccine Mediates Superior Antitumor Factor Receptor-2 B Cell Epitope Peptide A Chimeric Multi-Human Epidermal Growth

E. Carson, Donn C. Young and Pravin T. P. KaumayaNaveen K. Dakappagari, John Pyles, Robin Parihar, Williamhttp://www.jimmunol.org/content/170/8/4242J Immunol€2003; 170:4242-4253; ;Referenceshttp://www.jimmunol.org/content/170/8/4242.full#ref-list-1This article cites 89 articles, 42 of which you can access for free at: Subscriptionshttp://jimmunol.org/subscriptionsInformation about subscribing to The Journal of Immunology is online at: Permissionshttp://www.aai. org/ji/copyright.htmlSubmit copyright permission requests at: Email Alertshttp://jimmunol.org/cgi/alerts/etocReceive free email-alerts when new articles cite this article. Sign up at:
On Implementation of the Preisach Model Identification and Inversion for Hysteresis Compensation

A challenge for precise positioning in nanopositioning using smart materials is hysteresis, limiting positioning accuracy. The Preisach model, based on the delayed relay operator for hysteresis modelling, is introduced. The model is identied from experimental data with an input function ensuring information for all input levels. This paper presents implementational issues with respect to hysteresis compensation using the Preisach model, showing the procedure to follow, avoiding pitfalls in both identication and inversion. Issues due to the discrete nature of the Preisach model are discussed, and a specic linear interpolation method is tested experimentally, showing eective avoidance of excitation of vibrational dynamics in the smart material. Experimental results of hysteresis compensation are presented, showing an approximate error of 5% between the reference and measured displacement. Consequences of an insucient discretization level and a high frequency reference signal are illustrated, showing signicant deterioration of the hysteresis compensation performance.
Investigation on the near-field computational model of frequency-scan antenna

Based on the structure and characteristics of the frequency-scan antenna, the near-field computational model is constructed. The array elementpsilas phases are presented firstly and the radiation power of each array element is speculated according to the antenna aperture distribution. On the basis of the phase and power, the equation of radiation fields of each array element is obtained. According to the superposition principle, the near-field radiation model of frequency-scan array antenna is achieved. By the near-field model the near field distributions, pattern, and beam width are computed, which are consistent with the test data and prove the modelpsilas correctness.
Driving Decision-Making Analysis of Car-Following for Autonomous Vehicle Under Complex Urban Environment

Car-following decision-making is critical to complete driving mission for autonomous vehicles under complex and dynamic urban environment. The complex and dynamic information have a great influence on the autonomous vehicle's car-following decision. This paper proposes to use the Rough Set theory to abstract the car-following rules to support the decision-making of autonomous vehicles under the complex and dynamic urban environment. Firstly, a virtual urban traffic environment is built by PreScan (a simulation environment for developing advanced driver assistant system). The vehicle dynamics is simulated using 6-DOF dynamic model and the experimental data were acquiring based on MATLAB/Simulink. Secondly, the Rough Set theory is proposed to reduce the influence of weak interdependency data, and extract the driver's decision rules. Finally, the result is that: the subject car will slow down or break when the relative distance between the subject vehicle and the leading vehicle D is less than 7.7m, drive at a constant speed when D is under 10.2-12.7m, and accelerate when D is beyond 12.7m. It shows that the Rough Set can extract the driver's decision rules from the combining multiple sensors data and related information providing a theoretical basis for the car-following decision-making under complex and dynamic environment.
A Methodology for Studying VANET Performance with Practical Vehicle Distribution in Urban Environment

In a Vehicular Ad-hoc Network (VANET), the amount of interference from neighboring nodes to a communication link is governed by the vehicle density dynamics in vicinity and transmission probabilities of terminals. It is obvious that vehicles are distributed non-homogeneously along a road segment due to traffic controls and speed limits at different portions of the road. The common assumption of homogeneous node distribution in the network in most of the previous work in mobile ad-hoc networks thus appears to be inappropriate in VANETs. In light of the inadequacy, we present in this paper an original methodology to study the performance of VANETs with practical vehicle distribution in urban environment. Specifically, we introduce the stochastic traffic model to characterize the general vehicular traffic flow as well as the randomness of individual vehicles, from which we can acquire the mean dynamics and the probability distribution of vehicular density. As illustrative examples, we demonstrate how the density knowledge from the stochastic traffic model can be utilized to derive the throughput and progress performance of three routing strategies in different channel access protocols. We confirm the accuracy of the analytical results through extensive simulations. Our results demonstrate the applicability of the proposed methodology on modeling protocol performance, and shed insight into the performance analysis of other transmission protocols and network configurations in vehicular networks. Furthermore, we illustrate that the optimal transmission probability for optimized network performance can be obtained as a function of the location space from our results. Such information can be computed by road-side nodes and then broadcasted to road users for optimized multi-hop packet transmission in the communication network.
Achieving the Diversion and Decarceration of Young Offenders in New Zealand

The diversion of young people from criminal proceedings and the decreased use of custody are key goals of the youth justice system introduced in the Children, Young Persons, and Their Families Act 1989. This paper uses data from studies of 1003 young people who had family group conferences in 1998 and 1794 young people dealt with by the police in 2000/01 to examine the extent to which these goals are being achieved. In addition, national statistics supplied by the Ministry of Justice are used to compare patterns of youth offending and responses to it from before the Act to 2001. The data show that young people are being diverted and custodial options are less common than before the Act. At the same time, more young people are being made accountable for their offending than in the past. Furthermore, the seriousness of offending has not increased. These findings indicate that even greater use could be made of diversionary options through the police and direct referrals for family group conferences without compromising the extent to which young people are made accountable. Such changes would decrease both the stigmatisation associated with criminal proceedings for young people and the costs of Youth Court proceedings. Savings could be used to provide more programmes for young offenders and better support for families.
Do Asset Prices in Transition Countries Contain Information About Future Economic Activity?

There is ample empirical evidence for developed economies that asset prices contain information about future economic developments. But is this also the case in transition economies? Using a panel of monthly data for the Czech Republic, Hungary, Poland, Russia, Slovakia, and Slovenia for the period 1994-1999 it is shown that historical values for interest rates, exchange rates, and stock prices signal future movements in real economic activity. This result has significant implications for policymakers, and a composite leading indicator based on the three asset prices is presented, which contains information about the future development of economic activity.
Bounds on Cohomology and Castelnuovo–Mumford Regularity

The Castelnuovo-Mumford regularity reg(X) of a projective scheme X was introduced by Mumford by generalizing ideas of Castelnuovo. The interest in this concept stems partly from the fact that X is m-regular if and only if for every p \geq 0 the minimal generators of the p-th syzygy module of the defining ideal I of X occur in degree \leq m + p. There are some bounds in the case that X is a locally Cohen-Macaulay scheme. The aim of this paper is to extend and improve these results for so-called (k,r)-Buchsbaum schemes. In order to prove our theorems, we need to apply a spectral sequence. We conclude by describing two sharp examples and open problems.
Corporate board gender diversity and corporate social responsibility reporting in Malaysia

Abstract This study aims to examine the impact of board gender diversity on Corporate Social Responsibility (CSR) reporting by public listed companies of Bursa Malaysia over the period 2008–2013. Content analysis was used to determine the extent of CSR reporting. A reporting level index consisting of 51 items was developed based on six themes: General, Community, Environment, Human Resources, Marketplace, and Other. An ordinary least square regression was employed to determine the association between both gender diversity and educational background, and CSR reporting. The results reveal that the proportion of female directors and directors’ educational background are not associated with CSR reporting levels. The findings are consistent with the critical mass theory which argues that a mass of three or more women can cause a fundamental change in boardroom dynamics. As representation of women on corporate boards in Malaysia is very limited at this moment, regulators and policymakers should be more stringent in monitoring board diversity. On the whole, this study proposes that a well-managed diversity contributes to an effective board, thus serving to safeguard all stakeholders’ interests. This study provides new insights and contributes to the literature on the practices of boardroom diversity and corporate social responsibility reporting in the context of a semi-developed country.
Probing the diversity of chloromethane-degrading bacteria by comparative genomics and isotopic fractionation

Chloromethane (CH3Cl) is produced on earth by a variety of abiotic and biological processes. It is the most important halogenated trace gas in the atmosphere, where it contributes to ozone destruction. Current estimates of the global CH3Cl budget are uncertain and suggest that microorganisms might play a more important role in degrading atmospheric CH3Cl than previously thought. Its degradation by bacteria has been demonstrated in marine, terrestrial, and phyllospheric environments. Improving our knowledge of these degradation processes and their magnitude is thus highly relevant for a better understanding of the global budget of CH3Cl. The cmu pathway, for chloromethane utilisation, is the only microbial pathway for CH3Cl degradation elucidated so far, and was characterized in detail in aerobic methylotrophic Alphaproteobacteria. Here, we reveal the potential of using a two-pronged approach involving a combination of comparative genomics and isotopic fractionation during CH3Cl degradation to newly address the question of the diversity of chloromethane-degrading bacteria in the environment. Analysis of available bacterial genome sequences reveals that several bacteria not yet known to degrade CH3Cl contain part or all of the complement of cmu genes required for CH3Cl degradation. These organisms, unlike bacteria shown to grow with CH3Cl using the cmu pathway, are obligate anaerobes. On the other hand, analysis of the complete genome of the chloromethane-degrading bacterium Leisingera methylohalidivorans MB2 showed that this bacterium does not contain cmu genes. Isotope fractionation experiments with L. methylohalidivorans MB2 suggest that the unknown pathway used by this bacterium for growth with CH3Cl can be differentiated from the cmu pathway. This result opens the prospect that contributions from bacteria with the cmu and Leisingera-type pathways to the atmospheric CH3Cl budget may be teased apart in the future.
Multihop Nonregenerative MIMO Relays— QoS Considerations

For nonregenerative multihop multiple-input multiple-output (MIMO) relay communication systems, the optimal source precoding matrix and the optimal relay amplifying matrices have been recently established for a broad class of objective functions subjecting to the transmission power constraint at each node. However, existing works do not consider any quality-of-service (QoS) constraints, which are important in practical communication systems. In this paper, we derive the optimal source and relay matrices of a multihop MIMO relay system that guarantee the predetermined QoS criteria be attained with the minimal total transmission power. In particular, we consider two types of receivers at the destination node: the linear minimal mean-squared error (MMSE) receiver and the nonlinear decision feedback equalizer (DFE) based on the MMSE criterion. We show that for both types of receivers, the solution to the original optimization problem can be upper-bounded by using a successive geometric programming (GP) approach and lower-bounded by utilizing a dual decomposition technique. Simulation results show that both bounds are tight, and to obtain the same QoS, the MIMO relay system using the nonlinear MMSE-DFE receiver requires substantially less total transmission power than the linear MMSE receiver-based system.
Development of novel robots with modular methodology

Modules have been widely used in the development of re-configurable robots and snake-like robots. Modular methodology can also be applied in design of other robots. To build robots flexibly and quickly with low costs, we have developed two basic joint modules and several functional modules including grippers, suckers and wheels/feet as end-effectors. In this paper, we introduce the development of these modules, and present several novel robots built using them. Specifically, we show how to use them to set up a manipulator, a 6-DoF biped walking robot, a wheeled mobile robot, a biped tree-climbing robot, and a biped wall-climbing robot. It has been shown that a few modules can easily spawn a variety of novel robots with modular methodology.
Users Mobility Models for Opportunistic Networks : the Role of Physical Locations

Opportunistic networks are pervasive networks built exclusively by users’ devices. With respect to legacy multi-hop ad hoc networks (MANETs), opportunistic networks are much more resilient to disconnections, long network partitions, and dynamic reconfigurations. Therefore, they are suitable for challenged scenarios, such as disaster areas, or rural environments. While in MANET nodes’ mobility is an issue, in opportunistic networks mobility is an opportunity for communication, therefore mobility models are a key component in opportunistic networks’ research. Improved (with respect to MANETs) users mobility models are rapidly becoming reference tools for studying opportunistic networks, thanks to their accuracy in matching statistical features observed in real traces. A very interesting approach is defining mobility patterns based on social relationships between users. In this paper we argue that, while being a fundamental building block, social relationships alone cannot be the only driver for the mobility process. Users movements are also driven by the attraction of physical locations (e.g., the house, the working place) on users. We analyse from this standpoint the Communitybased Mobility Model (CMM), which is the reference point for social-aware community models. We show in detail that CMM is not able to capture locations’ attractions on users. Therefore, we propose the Home-cell Community-based Mobility Model (HCMM), which retains the social-aware features of CMM and, in addition, permits to easily control the relationships between users and their preferred physical locations.
A constraint-led approach to sport and physical education pedagogy

ABSTRACT Background The Constraints-Led Approach (CLA) has emerged as a viable pedagogical option for teachers and coaches in the sport and physical education. The emergence of a CLA to teaching and coaching has paralleled a change in the current zeitgeist with many scientists embracing the ideas of complexity and a more ecologically driven agenda. The CLA articulates that through the interaction of different constraints – task, environment, and performer – a learner will self-organise in attempts to generate effective movement solutions [Renshaw, Ian, Keith Davids, Elissa Phillips, and Hugo Kerherve. 2011. “Developing Talent in Athletes as Complex Neurobiological Systems. ” In Talent Identification and Development in Sport: International Perspectives, edited by Joe Baker, Stephen Cobley, and Jorg Schorer. London: Routledge]. However, successful employment of a CLA requires an understanding of ecological dynamics as these underpinning concepts manifest themselves as guiding principles for the design of CLA practice environments. Findings While some practitioners are adopting the ideas of CLA in their work, there is some concern that the often dense academic language often associated with the approach is acting as a key barrier in the take up of CLA and resulting in a limited understanding of the key underpinning concepts and hence poor implementation. It is therefore incumbent on advocates of CLA to provide pedagogues with the knowledge and tools to base learning design on the key principles of CLA. Conclusions In this paper, we walk the reader through the key theoretical concepts in CLA. We introduce the key ideas underpinning a CLA to provide guidelines as to how practitioners can implement a CLA in their practice. Wherever possible, we provide ‘exemplars’ from sport and pedagogy settings in an attempt to de-mystify the potentially confronting language of the ecological dynamics landscape. We make clear that simply adopting a CLA should not be seen as a panacea for practitioners and conclude by emphasising that effective CLA teaching and coaching practice is therefore subject to the same pedagogical requirements when designing learning activities as when providing more traditional approaches.
The spatial effects of trade openness: a survey

This paper surveys the literature on the implications of trade liberalisation for intra-national economic geographies. Three results stand out. First, neither urban systems models nor new economic geography models imply a robust prediction for the impact of trade openness on spatial concentration. Whether trade promotes concentration or dispersion depends on subtle modelling choices among which it is impossible to adjudicate a priori. Second, empirical evidence mirrors the theoretical indeterminacy: a majority of cross-country studies find no significant effect of openness on urban concentration or regional inequality. Third, the available models predict that, other things equal, regions with inherently less costly access to foreign markets, such as border or port regions, stand to reap the largest gains from trade liberalisation. This prediction is confirmed by the available evidence. Whether trade liberalisation raises or lowers regional inequality therefore depends on each country’s specific geography.