nils-herrmann/clean_scirepeval huggingface dataset:
A Theory of Cerebellar Function

A comprehensive theory of cerebellar function is presented, which ties together the known anatomy and physiology of the cerebellum into a pattern-recognition data processing system. The cerebellum is postulated to be functionally and structurally equivalent to a modification of the classical Perceptron pattern-classification device. I t i s suggested that the mossy fiber-+ granule c e l l-+ Golgi c e l l input network performs an expansion recoding that enhances the pattern-discrimination capacity and learning speed of the cerebellar Purkinje response cells. Parallel fiber synapses of the dendritic spines of Purkinje cells, basket cells, and stellate cells are all postulated to be specifically variable in response to climbing fiber activity. I t is argued that this variability i s the mechanism of pattern storage. I t i s demonstrated that, in order for the learning process to be stable, pattern storage must be accomplished principally by weakening synaptic weights rather than by strengthening them.
Opening Doors to Recovery: Recidivism and Recovery Among Persons With Serious Mental Illnesses and Repeated Hospitalizations.

Repeated hospitalizations and arrests or incarcerations diminish the ability of individuals with serious mental illnesses to pursue recovery. Community mental health systems need new models to address recidivism as well as service fragmentation, lack of engagement by local stakeholders, and poor communication between mental health providers and the police. This study examined the initial effects on institutional recidivism and measures of recovery among persons enrolled in Opening Doors to Recovery, an intensive, team-based community support program for persons with mental illness and a history of inpatient psychiatric recidivism. A randomized controlled trial of the model is underway.



The number of hospitalizations, days hospitalized, and arrests (all from state administrative sources) in the year before enrollment and during the first 12 months of enrollment in the program were compared. Longitudinal trajectories of recovery-using three self-report and five clinician-rated measures-were examined. Analyses accounted for baseline symptom severity and intensity of involvement in the program.



One hundred participants were enrolled, and 72 were included in the analyses. Hospitalizations decreased, from 1.9±1.6 to .6±.9 (p<.001), as did hospital days, from 27.6±36.4 to 14.9±41.3 (p<.001), although number of arrests (which are rare events) did not. Significant linear trends were observed for recovery measures, and trajectories of improvement were apparent across the entire follow-up period.



Opening Doors to Recovery holds promise as a new service approach for reducing hospital recidivism and promoting recovery in community mental health systems and is deserving of further controlled testing.
The IQ of Artificial Intelligence

All it takes to identify the computer programs which are Artificial Intelligence is to give them a test and award AI to those that pass the test. Let us say that the scores they earn at the test will be called IQ. We cannot pinpoint a minimum IQ threshold that a program has to cover in order to be AI, however, we will choose a certain value. Thus, our definition for AI will be any program the IQ of which is above the chosen value. While this idea has already been implemented in , here we will revisit this construct in order to introduce certain improvements.
Editorial: Impression Management and Faking in Job Interviews

Organizations place a great deal of emphasis on hiring individuals who are a good fit for the organization and the job. Among the many ways that individuals are screened for a job, the employment interview is particularly prevalent and nearly universally used (Macan, 2009; Huffcutt and Culbertson, 2011). This Research Topic is devoted to a construct that plays a critical role in our understanding of job interviews: impression management (IM). In the interview context, IM describes behaviors an individual uses to influence the impression that others have of them (Bozeman and Kacmar, 1997). For instance, a job applicant can flatter an interviewer to be seen as likable (i.e., ingratiation), play up their qualifications and abilities to be seen as competent (i.e., self-promotion), or utilize excuses or justifications to make up for a negative event or error (i.e., defensive IM; Ellis et al., 2002). IM has emerged as a central theme in the interview literature over the last several decades (for reviews, see Posthuma et al., 2002; Levashina et al., 2014). Despite some pioneering early work (e.g., Schlenker, 1980; Leary and Kowalski, 1990; Stevens and Kristof, 1995), there has been a resurgence of interest in the area over the last decade. While the literature to date has set up a solid foundational knowledge about interview IM, there are a number of emerging trends and directions. In the following, we lay out some critical areas of inquiry in interview IM, and highlight how the innovative set of papers in this Research Topic is illustrative of these new directions.
Pulley system in the fingers: normal anatomy and simulated lesions in cadavers at MR imaging, CT, and US with and without contrast material distention of the tendon sheath.

To describe the normal anatomy of the finger flexor tendon pulley system, with anatomic correlation, and to define criteria to diagnose pulley abnormalities with different imaging modalities.



Three groups of cadaveric fingers underwent computed tomography (CT), magnetic resonance (MR) imaging, and ultrasonography (US). The normal anatomy of the pulley system was studied at extension and flexion without and with MR tenography. Pulley lengths were measured, and anatomic correlation was performed. Pulley lesions were created and studied at flexion, extension, and forced flexion. Two radiologists reviewed the studies in blinded fashion.



MR imaging demonstrated A2 (proximal phalanx) and A4 (middle phalanx) pulleys in 12 (100%) of 12 cases, without and with tenography. MR tenography showed the A3 (proximal interphalangeal) and A5 (distal interphalangeal) pulleys in 10 (83%) and nine (75%) cases, respectively. US showed the A2 pulley in all cases and the A4 pulley in eight (67%). CT did not allow direct pulley visualization. No significant differences in pulley lengths were measured at MR, US, or pathologic examination (P: =.512). Direct lesion diagnosis was possible with MR imaging and US in 79%-100% of cases, depending on lesion type. Indirect diagnosis was successful with all methods with forced flexion.



MR imaging and US provide means of direct finger pulley system evaluation.
Director Overlap : Groupthink versus Teamwork

_____________________________________________________________________________ Corporate boards are comprised of individual directors but make decisions as a group. The quality of their decisions affects firm value. In this study, we focus on one aspect of board structure–– director overlap––the overlap in service for a given pair of directors in a given firm, averaged across all director pairs in the firm. Greater overlap among directors can lead to negative synergies through groupthink, a mode of thinking by highly cohesive groups where the desire for consensus potentially overrides critical evaluation of all possible alternatives. Alternatively, greater overlap can lead to positive synergies through a reduction in coordination and communication costs, resulting in more effective teamwork. We hypothesize that: (i) director overlap will have a more negative effect on firm value for dynamic firms, which value critical thinking and hence stand to lose more from groupthink; and (ii) director overlap will have a more positive effect on firm value in complex firms, which have higher coordination costs and hence benefit from better teamwork. We find results consistent with our predictions. Our results have implications for the term limits of directors because term limits impose a ceiling on director overlap. ______________________________________________________________________________ JEL Classifications: G32; G34; K22
A Low-Energy Crystal-Less Double-FSK Sensor Node Transceiver for Wireless Body-Area Network

An energy-efficient crystal-less double-FSK transceiver for wireless body-area-network (WBAN) sensor nodes is implemented in 0.18-μm CMOS technology with a 1-V supply. The injection-locking digitally controlled oscillator (IL-DCO) replaces the crystal oscillator (XO), which leads to significantly reduce the energy consumption and system cost. With the proposed calibration method using an injection-locking detector (IL-detector), the frequency drift of DCO can be calibrated within 100-kHz accuracy over 100° temperature variation. For the full satisfaction to the WBAN requirements, such as wide range of quality of service in terms of data rate, bit error rate, and network coexistence, we adopt a scalable double-FSK modulation scheme with divider-based transmitter by a power-efficient switching modulator. As a result, the fabricated crystal-less double-FSK WBAN compatible sensor node transceiver consumes 1 and 2 mW in calibrating and transmitting modes, respectively, at a data rate of up to 10 Mb/s, providing an 80 MHz reference source with 100-kHz accuracy by auto-calibrated DCO.
Chaos in the fractional order Cellular Neural Network and its sychronization

Chaos and its drive-response synchronization for a fractional-order cellular neural networks (CNN) are studied. It is found that chaos exists in the fractional-order system with six-cell. The phase synchronisation of drive and response chaotic trajectories is investigated after that. These works based on Lyapunov exponents (LE), Lyapunov stability theory and numerical solving fractional-order system in Matlab environment.
Experimental evidence of massive-scale emotional contagion through social networks.

Emotional states can be transferred to others via emotional contagion, leading people to experience the same emotions without their awareness. Emotional contagion is well established in laboratory experiments, with people transferring positive and negative emotions to others. Data from a large real-world social network, collected over a 20-y period suggests that longer-lasting moods (e.g., depression, happiness) can be transferred through networks [Fowler JH, Christakis NA (2008) BMJ 337:a2338], although the results are controversial. In an experiment with people who use Facebook, we test whether emotional contagion occurs outside of in-person interaction between individuals by reducing the amount of emotional content in the News Feed. When positive expressions were reduced, people produced fewer positive posts and more negative posts; when negative expressions were reduced, the opposite pattern occurred. These results indicate that emotions expressed by others on Facebook influence our own emotions, constituting experimental evidence for massive-scale contagion via social networks. This work also suggests that, in contrast to prevailing assumptions, in-person interaction and nonverbal cues are not strictly necessary for emotional contagion, and that the observation of others' positive experiences constitutes a positive experience for people.
The young and the clueless.

It's natural to promote your best and brightest, especially when you think they may leave for greener pastures if you don't continually offer them new challenges and rewards. But promoting smart, ambitious young managers too quickly often robs them of the chance to develop the emotional competencies that come with time and experience--competencies like the ability to negotiate with peers, regulate emotions in times of crisis, and win support for change. Indeed, at some point in a manager's career--usually at the vice president level--raw talent and ambition become less important than the ability to influence and persuade, and that's the point at which the emotionally immature manager will lose his effectiveness. This article argues that delaying a promotion can sometimes be the best thing a senior executive can do for a junior manager. The inexperienced manager who is given time to develop his emotional competencies may be better prepared for the interpersonal demands of top-level leadership. The authors recommend that senior executives employ these strategies to help boost their protégés' people skills: sharpen the 360-degree feedback process, give managers cross-functional assignments to improve their negotiation skills, make the development of emotional competencies mandatory, make emotional competencies a performance measure, and encourage managers to develop informal learning partnerships with peers and mentors. Delaying a promotion can be difficult given the steadfast ambitions of many junior executives and the hectic pace of organizational life. It may mean going against the norm of promoting people almost exclusively on smarts and business results. It may also mean contending with the disappointment of an esteemed subordinate. But taking the time to build people's emotional competencies isn't an extravagance; it's critical to developing effective leaders.
Text mining for market prediction: A systematic review

The quality of the interpretation of the sentiment in the online buzz in the social media and the online news can determine the predictability of financial markets and cause huge gains or losses. That is why a number of researchers have turned their full attention to the different aspects of this problem lately. However, there is no well-rounded theoretical and technical framework for approaching the problem to the best of our knowledge. We believe the existing lack of such clarity on the topic is due to its interdisciplinary nature that involves at its core both behavioral-economic topics as well as artificial intelligence. We dive deeper into the interdisciplinary nature and contribute to the formation of a clear frame of discussion. We review the related works that are about market prediction based on onlinetext-mining and produce a picture of the generic components that they all have. We, furthermore, compare each system with the rest and identify their main differentiating factors. Our comparative analysis of the systems expands onto the theoretical and technical foundations behind each. This work should help the research community to structure this emerging field and identify the exact aspects which require further research and are of special significance.
What are features? An ontology-based review of the literature

Feature-based product modeling is the leading approach for the integrated representation of engineering product data. On the one side, this approach has stimulated the development of formal models and vocabularies, data standards and computational ontologies. On the other side, the current ways to model features is considered problematic since it lacks a principled and uniform methodology for feature representation. This paper reviews the state of art of feature-based modeling approaches by concentrating on how features are conceptualised. It points out the drawbacks of current approaches and proposes an high-level ontology-based perspective to harmonize the definition of feature.
Neural systems for recognition of familiar faces

Immediate access to information about people that we encounter is an essential requirement for effective social interactions. In this manuscript we briefly review our work and work of others on familiar face recognition and propose a modified version of our model of neural systems for face perception with a special emphasis on processes associated with recognition of familiar faces. We argue that visual appearance is only one component of successful recognition of familiar individuals. Other fundamental aspects include the retrieval of "person knowledge" - the representation of the personal traits, intentions, and outlook of someone we know - and the emotional response we experience when seeing a familiar individual. Specifically, we hypothesize that the "theory of mind" areas, that have been implicated in social and cognitive functions other than face perception, play an essential role in the spontaneous activation of person knowledge associated with the recognition of familiar individuals. The amygdala and the insula, structures that are involved in the representation of emotion, also are part of the distributed network of areas that are modulated by familiarity, reflecting the role of emotion in face recognition.
Modular multi-ported SRAM-based memories

Multi-ported RAMs are essential for high-performance parallel computation systems. VLIW and vector processors, CGRAs, DSPs, CMPs and other processing systems often rely upon multi-ported memories for parallel access, hence higher performance. Although memories with a large number of read and write ports are important, their high implementation cost means they are used sparingly in designs. As a result, FPGA vendors only provide dual-ported block RAMs to handle the majority of usage patterns. In this paper, a novel and modular approach is proposed to construct multi-ported memories out of basic dual-ported RAM blocks. Like other multi-ported RAM designs, each write port uses a different RAM bank and each read port uses bank replication. The main contribution of this work is an optimization that merges the previous live-value-table (LVT) and XOR approaches into a common design that uses a generalized, simpler structure we call an invalidation-based live-value-table (I-LVT). Like a regular LVT, the I-LVT determines the correct bank to read from, but it differs in how updates to the table are made; the LVT approach requires multiple write ports, often leading to an area-intensive register-based implementation, while the XOR approach uses wider memories to accommodate the XOR-ed data and suffers from lower clock speeds. Two specific I-LVT implementations are proposed and evaluated, binary and one-hot coding. The I-LVT approach is especially suitable for larger multi-ported RAMs because the table is implemented only in SRAM cells. The I-LVT method gives higher performance while occupying less block RAMs than earlier approaches: for several configurations, the suggested method reduces the block RAM usage by over 44% and improves clock speed by over 76%. To assist others, we are releasing our fully parameterized Verilog implementation as an open source hardware library. The library has been extensively tested using ModelSim and Altera's Quartus tools.
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction

Reliable feature correspondence between frames is a critical step in visual odometry (VO) and visual simultaneous localization and mapping (V-SLAM) algorithms. In comparison with existing VO and V-SLAM algorithms, semi-direct visual odometry (SVO) has two main advantages that lead to stateof-the-art frame rate camera motion estimation: direct pixel correspondence and efficient implementation of probabilistic mapping method. This paper improves the SVO mapping by initializing the mean and the variance of the depth at a feature location according to the depth prediction from a singleimage depth prediction network. By significantly reducing the depth uncertainty of the initialized map point (i.e., small variance centred about the depth prediction), the benefits are twofold: reliable feature correspondence between views and fast convergence to the true depth in order to create new map points. We evaluate our method with two outdoor datasets: KITTI dataset and Oxford Robotcar dataset. The experimental results indicate that the improved SVO mapping results in increased robustness and camera tracking accuracy.
Solid State Transformer ( SST ) “ Review of Recent Developments ”

The transformer has been used throughout the twentieth century. Until now, it has consisted of a configuration of iron or steel cores and copper/aluminum coils, with mineral oil serving as both coolant and dielectric medium. Inherent in this type of construction are regulation, significant weight, losses, environmental concerns, and power quality issues. For the 21st century, a new kind of power electronics transformer is developed one that can be made self-regulating, coilfree, and able to correct power quality problems. The solid-state transformer allows add-on intelligence to enhance power quality compatibility between source and load. This new transformer is insensitive to harmonics, prevents harmonics from propagating (in either direction), has zero regulation, prevents load disruptions and faults from affecting the primary system, can supply loads with dc offsets, and does not utilize a liquid dielectric. The purpose of this paper is to give the idea about this developing power electronic transformer also known as Solid state transformer. The brief review of various developments in SST technology is given here.
An integrated hybrid power system based on renewable energy sources with electric wind MPPT

This paper presents the behaviour of a hybrid system based on renewable sources (wind and solar) with their stochastic behaviour and a pre-programmed timed load profile. The goal is the analysis of a small hybrid system in the context of new services that can be offered to the grids as a power generator. Both the sources have continuous maximum power extraction where the Maximum Power Point Tracking (MPPT) of the wind generator is based on its DC power output. The structure of the system is presented and the local and global control is developed. Simulation and conclusions about the behaviour of the system are presented.
Air separation with graphene mediated by nanowindow-rim concerted motion

Nanoscale windows in graphene (nanowindows) have the ability to switch between open and closed states, allowing them to become selective, fast, and energy-efficient membranes for molecular separations. These special pores, or nanowindows, are not electrically neutral due to passivation of the carbon edges under ambient conditions, becoming flexible atomic frameworks with functional groups along their rims. Through computer simulations of oxygen, nitrogen, and argon permeation, here we reveal the remarkable nanowindow behavior at the atomic scale: flexible nanowindows have a thousand times higher permeability than conventional membranes and at least twice their selectivity for oxygen/nitrogen separation. Also, weakly interacting functional groups open or close the nanowindow with their thermal vibrations to selectively control permeation. This selective fast permeation of oxygen, nitrogen, and argon in very restricted nanowindows suggests alternatives for future air separation membranes. Graphene with nanowindows can have 1000 times higher permeability and four times the selectivity for air separation than conventional membranes, Vallejos-Burgos et al. reveal by molecular simulation, due to flexibility at the nanoscale and thermal vibrations of the nanowindows' functional groups.