Miracle-dz/UniFAR-FTUs huggingface dataset:
A systematic review of research on counselling and psychotherapy for lesbian, gay, bisexual & transgender people

Counselling and psychotherapy services for lesbian, gay and bisexual (LGB) people have developed against a historical background of medical and psychological pathologisation of homosexuality over the past 130 years. Prejudice against homosexuality amongst therapists and the rest of society is similar to prejudice against transgenderism, as, in contrast to discrimination against characteristics such as race or sex, both have been regarded as unnatural and morally perverse. Although a lesbian-, gay-, bisexual- and transgender(LGBT)- affirmative strand of mental health services provision has developed over the last 20–30 years, particular areas of need for knowledge and understanding remain to be addressed. These are: homosexuality as one of a range of acceptable sexual identities; LGBT people’s lifestyle, social networks and support systems; how sexuality and gender are understood and responded to within families and cultures; the difficulties of growing up LGBT, and how information and disclosure about LGBT identity is managed; the coming-out process; the expertise and sensitivity of therapists to these issues; therapist sexual orientation and its relevance to the process and outcome of therapy; and the particular mental health vulnerabilities and needs of LGBT people. Although there is evidence for effectiveness of psychotherapy, we know little about how talking therapies are provided for LGBT people, or the effectiveness of such therapies within this group.
Safe physical human-robot interaction with industrial dual-arm robots

This paper presents methodologies and tests for the safe physical human-robot interaction in conventional position controlled and non-back driveable industrial robotic systems. The developed algorithms are based on a simplified sensor-less estimation of external forces and saturation of joint control torques to keep the effective external forces under safety level. To cope with non-linear saturation phenomena, position control compensators and path error governor have been implemented and designed to ensure smooth behaviour and preserved control performance. Being able to stop the robot arm motion when applying risky forces, as recommended by ISO 10218, the human feels subjective safe in the robot vicinity. Experiments with the PISA Workerbot dual-arm robot system illustrate feasibility and robustness of the developed algorithms.
Staffing of Time-Varying Queues to Achieve Time-Stable Performance

This paper develops methods to determine appropriate staffing levels in call centers and other many-server queueing systems with time-varying arrival rates. The goal is to achieve targeted time-stable performance, even in the presence of significant time variation in the arrival rates. The main contribution is a flexible simulation-based iterative-staffing algorithm (ISA) for the Mt/G/st + G model---with nonhomogeneous Poisson arrival process (the Mt) and customer abandonment (the + G). For Markovian Mt/M/st + M special cases, the ISA is shown to converge. For that Mt/M/st + M model, simulation experiments show that the ISA yields time-stable delay probabilities across a wide range of target delay probabilities. With ISA, other performance measures---such as agent utilizations, abandonment probabilities, and average waiting times---are stable as well. The ISA staffing and performance agree closely with the modified-offered-load approximation, which was previously shown to be an effective staffing algorithm without customer abandonment. Although the ISA algorithm so far has only been extensively tested for Mt/M/st + M models, it can be applied much more generally---to Mt/G/st + G models and beyond.
Analysis and comparison of methods for the preparation of domestic hot water from district heating system, selected renewable and non-renewable sources in low-energy buildings

The article presents an economic analysis and comparison of selected (district heating, natural gas, heat pump with renewable energy sources) methods for the preparation of domestic hot water in a building with low energy demand. In buildings of this type increased demand of energy for domestic hot water preparation in relation to the total energy demand can be observed. As a result, the proposed solutions allow to further lower energy demand by using the renewable energy sources. This article presents the results of numerical analysis and calculations performed mainly in MATLAB software, based on typical meteorological years. The results showed that system with heat pump and renewable energy sources Is comparable with district heating system.
Group Analysis in MNE-Python of Evoked Responses from a Tactile Stimulation Paradigm: A Pipeline for Reproducibility at Every Step of Processing, Going from Individual Sensor Space Representations to an across-Group Source Space Representation

An important aim of an analysis pipeline for magnetoencephalographic data is that it allows for the researcher spending maximal effort on making the statistical comparisons that will answer the questions of the researcher, while in turn spending minimal effort on the intricacies and machinery of the pipeline. I here present a set of functions and scripts that allow for setting up a clear, reproducible structure for separating raw and processed data into folders and files such that minimal effort can be spend on: (1) double-checking that the right input goes into the right functions; (2) making sure that output and intermediate steps can be accessed meaningfully; (3) applying operations efficiently across groups of subjects; (4) re-processing data if changes to any intermediate step are desirable. Applying the scripts requires only general knowledge about the Python language. The data analyses are neural responses to tactile stimulations of the right index finger in a group of 20 healthy participants acquired from an Elekta Neuromag System. Two analyses are presented: going from individual sensor space representations to, respectively, an across-group sensor space representation and an across-group source space representation. The processing steps covered for the first analysis are filtering the raw data, finding events of interest in the data, epoching data, finding and removing independent components related to eye blinks and heart beats, calculating participants' individual evoked responses by averaging over epoched data and calculating a grand average sensor space representation over participants. The second analysis starts from the participants' individual evoked responses and covers: estimating noise covariance, creating a forward model, creating an inverse operator, estimating distributed source activity on the cortical surface using a minimum norm procedure, morphing those estimates onto a common cortical template and calculating the patterns of activity that are statistically different from baseline. To estimate source activity, processing of the anatomy of subjects based on magnetic resonance imaging is necessary. The necessary steps are covered here: importing magnetic resonance images, segmenting the brain, estimating boundaries between different tissue layers, making fine-resolution scalp surfaces for facilitating co-registration, creating source spaces and creating volume conductors for each subject.
Approximately fair and secure protocols for multiple interdependent issues negotiation

Multi-issue negotiation has been studied widely. Our work focuses on the important special case of negotiation with multiple interdependent issues, in which agent utility functions are nonlinear. In this paper, we propose a Distributed Mediator Protocol (DMP) for securely finding Pareto optimal agreements. We also propose a measure for selecting final agreements from the set of Pareto-optimal contracts, based on "approximated fairness" and the "rate of Nash bargaining solution". We demonstrate that the DMP finds the Nash bargaining solution better than previous work in this area.
Cerebral amyloid angiopathy. A critical review.

Historical Perspective The clinicopathologic entity of cerebral congophilic or amyloid angiopathy (CAA) has been recognized since die early part of this century, though it has attained the 'limelight' over the past decade primarily for two reasons: 1) the observation that CAA is the probable cause of nontraumatic primary cerebral hemorrhage producing stroke in a significant proportion of patients, in particular those who are normotensive and elderly; and 2) its close association with the other microscopic hallmarks of Alzheimer's disease (AD), or senile dementia of the Alzheimer type (SDAT). Nevertheless, as with many other conditions that have been recently 'rediscovered,' elegant accounts and illustrations of the pathology of CAA appeared between 1900 and 1970'-" though interpretations of its significance and etiology were largely speculative in the absence of the modern molecular tools that have provided insights into its pathogenesis and reasonable hypotheses about its relation to brain aging. Unfortunately, it remains a puzzling entity, and CAA-related cerebral bleeding is likely to continue as a major clinical problem because of one simple fact: the single identifiable risk factor for the development of CAA—aging—is not as amenable to direct therapeutic intervention as other risk factors (e.g., hypertension) for various forms of stroke. The earlier terms used to describe CAA, "driisige Entartung der Arterien und Kapillaren," "angiopathie dyshorique," and congophilic angiopathy, nomenclature implying a specific etiology for the observed microangiopathy, now seem archaic though they retain descriptive value. Dyshoric angiopathy refers to amyloid in capillary walls often adjacent to senile plaques, whereas congophilic angiopathy describes amyloid in arterioles and small arteries. CAA or cerebrovascular amyloidosis (CVA) are synonyms currently used to describe all aspects of the microvascular change. The former will be used throughout this article, the purpose of which is to review the clinicopathologic features of CAA, emphasizing theories of pathogenesis and its importance as a cause of brain hemorrhage.
Calcium signalling through L‐type calcium channels: role in pathophysiology of spinal nociceptive transmission

L‐type voltage‐gated calcium channels are ubiquitous channels in the CNS. L‐type calcium channels (LTCs) are mostly post‐synaptic channels regulating neuronal firing and gene expression. They play a role in important physio‐pathological processes such as learning and memory, Parkinson's disease, autism and, as recognized more recently, in the pathophysiology of pain processes. Classically, the fundamental role of these channels in cardiovascular functions has limited the use of classical molecules to treat LTC‐dependent disorders. However, when applied locally in the dorsal horn of the spinal cord, the three families of LTC pharmacological blockers – dihydropyridines (nifedipine), phenylalkylamines (verapamil) and benzothiazepines (diltiazem) – proved effective in altering short‐term sensitization to pain, inflammation‐induced hyperexcitability and neuropathy‐induced allodynia. Two subtypes of LTCs, Cav1.2 and Cav1.3, are expressed in the dorsal horn of the spinal cord, where Cav1.2 channels are localized mostly in the soma and proximal dendritic shafts, and Cav1.3 channels are more distally located in the somato‐dendritic compartment. Together with their different kinetics and pharmacological properties, this spatial distribution contributes to their separate roles in shaping short‐ and long‐term sensitization to pain. Cav1.3 channels sustain the expression of plateau potentials, an input/output amplification phenomenon that contributes to short‐term sensitization to pain such as prolonged after‐discharges, dynamic receptive fields and windup. The Cav1.2 channels support calcium influx that is crucial for the excitation‐transcription coupling underlying nerve injury‐induced dorsal horn hyperexcitability. These subtype‐specific cellular mechanisms may have different consequences in the development and/or the maintenance of pathological pain. Recent progress in developing more specific compounds for each subunit will offer new opportunities to modulate LTCs for the treatment of pathological pain with reduced side‐effects.
A Strategy for Computing V

For any vertex algebra V and any subalgebra A ⊂ V , there is a new subalgebra of V known as the commutant of A in V . This construction was introduced by Frenkel-Zhu, and is a generalization of an earlier construction due to Kac-Peterson and Goddard-Kent-Olive known as the coset construction. In this paper, we interpret the commutant as a vertex algebra notion of invariant theory. We present an approach to describing commutant algebras in an appropriate category of vertex algebras by reducing the problem to a question in commutative algebra. We give an interesting example of a Howe pair (ie, a pair of mutual commutants) in the vertex algebra setting.
A Common Exocytotic Mechanism Mediates Axonal and Dendritic Outgrowth

Outgrowth of the dendrites and the axon is the basis of the establishment of the neuronal shape, and it requires addition of new membrane to both growing processes. It is not yet clear whether one or two exocytotic pathways are responsible for the respective outgrowth of axons and dendrites. We have previously shown that tetanus neurotoxin-insensitive vesicle-associated membrane protein (TI-VAMP) defines a novel network of tubulovesicular structures present both at the leading edge of elongating dendrites and axons of immature hippocampal neurons developing in primary culture and that TI-VAMP is an essential protein for neurite outgrowth in PC12 cells. Here we show that the expression of the N-terminal domain of TI-VAMP inhibits the outgrowth of both dendrites and axons in neurons in primary culture. This effect is more prominent at the earliest stages of the development of neurons in vitro. Expression of the N-terminal domain deleted form of TI-VAMP has the opposite effect. This constitutively active form of TI-VAMP localizes as the endogenous protein, particularly concentrating at the leading edge of growing axons. Our results suggest that a common exocytotic mechanism that relies on TI-VAMP mediates both axonal and dendritic outgrowth in developing neurons.
Early Formation of Dust in the Ejecta of Type Ib SN 2006jc and Temperature and Mass of the Dust

SN 2006jc is a peculiar supernova (SN), in which the formation of dust has been confirmed at an early epoch of ~50 days after the explosion. We investigate the possibility of such an early formation of dust grains in the expanding ejecta of SN 2006jc, applying the Type Ib SN model that is developed to reproduce the observed light curve. We find that the rapid decrease of the gas temperature in SN 2006jc enables the condensation of C grains in the C-rich layer at 40-60 days after the explosion, which is followed by the condensation of silicate and oxide grains until ~200 days. The average radius of each grain species is confined to be less than 0.01 μ m due to the low gas density at the condensation time. The calculated total dust mass reaches ≃1.5 M☉, of which C dust shares 0.7 M☉. On the other hand, based on the calculated dust temperature, we show that the dust species and mass evaluated to reproduce the spectral energy distribution observed by AKARI and MAGNUM at day 200 are different from those obtained by the dust formation calculations; the dust species contributing to the observed flux are hot C and FeS grains with masses of 5.6 × 10−4 and 2.0 × 10−3 M☉, respectively, although we cannot defy the presence of a large amount of cold dust such as silicate and oxide grains up to 0.5 M☉. One of the physical processes responsible for the difference between calculated and evaluated masses of C and FeS grains could be considered to be the destruction of small-sized clusters by energetic photons and electrons prevailing within the ejecta at the earlier epoch.
Energy Profiling and Analysis of the HPC Challenge Benchmarks

Future high performance systems must use energy efficiently to achieve petaFLOPS computational speeds and beyond. To address this challenge, we must first understand the power and energy characteristics of high performance computing applications. In this paper, we use a power-performance profiling framework called Power-Pack to study the power and energy profiles of the HPC Challenge benchmarks. We present detailed experimental results along with in-depth analysis of how each benchmark's workload characteristics affect power consumption and energy efficiency. This paper summarizes various findings using the HPC Challenge benchmarks, including but not limited to: 1) identifying application power profiles by function and component in a high performance cluster; 2) correlating applications' memory access patterns to power consumption for these benchmarks; and 3) exploring how energy consumption scales with system size and workload.
Expendable Countermeasure Effectiveness against Imaging Infrared Guided Threats

The following investigation evaluated the effectiveness of expendable infrared countermeasures (flares) in the protection of a fast jet against imaging infrared seekers. The report presents an effectiveness evaluation process and analyzes the results of Monte Carlo simulation runs. The goal of the investigation was to determine if expendable countermeasures (specifically spatially distributed flares) could be effective against imaging IR-guided threats.
Affective negotiation support systems

Negotiation is a process in which two or more parties aim to reach a joint agreement. As such negotiation involves rational decision making about options and issues. However, negotiation also involves social interaction and dilemmas as well as personal preferences and opinions. Negotiation is a multifaceted process in which affect plays a critical role, a role confirmed in recent empirical studies. In this position paper we first argue that affect is an important issue to consider when developing a negotiation support system. We do so by giving a strategic overview of some of the most important findings in the affect-cognition and affect-negotiation literature. Second, we show in a structured manner during which phases in the negotiation process what emotion-related concepts play a major role, as well as discuss more concrete affect-related support functions an affective negotiation support system could offer. Third, we analyze the feasibility of these functions by reviewing currently available affective computing technologies, such as affect measurement, emotion modeling, emotion expression, emotional reasoning, and emotional agents.
A Study on the Estimation Method of Impact Position Using the Frequency Analysis

In this paper, we proposed a new algorithm that can be detected impact position on LPMS using the characteristic of RMS (root mean square) values and analysis of frequency. The proposed estimation algorithm of impact position uses the arriving difference time method using the analysis of frequency and the RMS value. The LPMS (loose parts monitoring system) are used for detecting and evaluating metallic loose parts in reactor systems. On experiment, we use the modeling steel drum instead of real reactor and 4 accelerometer sensors for acquiring the impact signal. And the computer is connected the accelerometer sensor input and used for monitoring and analyzing of impact signal with Lab-view and Matlab programs. It is efficiently used for reducing processing time and estimated impact position.
Ecologically-Relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning

Key to understanding the implications of climate and land use change on biodiversity and natural resources is to incorporate the physiographic platform on which changes in ecological systems unfold. Here, we advance a detailed classification and high-resolution map of physiography, built by combining landforms and lithology (soil parent material) at multiple spatial scales. We used only relatively static abiotic variables (i.e., excluded climatic and biotic factors) to prevent confounding current ecological patterns and processes with enduring landscape features, and to make the physiographic classification more interpretable for climate adaptation planning. We generated novel spatial databases for 15 landform and 269 physiographic types across the conterminous United States of America. We examined their potential use by natural resource managers by placing them within a contemporary climate change adaptation framework, and found our physiographic databases could play key roles in four of seven general adaptation strategies. We also calculated correlations with common empirical measures of biodiversity to examine the degree to which the physiographic setting explains various aspects of current biodiversity patterns. Additionally, we evaluated the relationship between landform diversity and measures of climate change to explore how changes may unfold across a geophysical template. We found landform types are particularly sensitive to spatial scale, and so we recommend using high-resolution datasets when possible, as well as generating metrics using multiple neighborhood sizes to both minimize and characterize potential unknown biases. We illustrate how our work can inform current strategies for climate change adaptation. The analytical framework and classification of landforms and parent material are easily extendable to other geographies and may be used to promote climate change adaptation in other settings.
Combining Mobile and Fog Computing: Using CoAP to Link Mobile Device Clouds with Fog Computing

This paper focuses on the use of CoAP as a means of connecting clouds of sensors & smart devices via mobile devices with users. We present an alternative to the hierarchical view on fog-computing by enabling device clouds to interact in a P2P fashion with smart device/sensor clouds. Using the IoT protocol CoAP we expose smart device/sensors and resources in the mobile cloud in a uniform manner as RESful services. The paper presents an evaluation of an Erlang CoAP server and an evaluations of using BLE 4.1 for submitting CoAP messages that span between 1 -- 7 BLE packets.