Miracle-dz/UniFAR-FTUs huggingface dataset:
Running head : ADVERSE CHILDHOOD EXPERIENCES AND CRIMINALITY 1 Effects of Adverse Childhood Experiences on High Risk Inpatient ’ s Criminal Behavior

Adverse childhood experiences (ACEs) play a role in the development of chronic mental and physical diseases in adulthood. These experiences include adversities such as: emotional/verbal abuse, sexual abuse, physical abuse, and household dysfunction. In this study, we hypothesize that forensic mental health offenders will have higher ACE scores than community participants. Secondly, we hypothesize that these participants will show higher rates of and earlier incidences of offending, arrest, incarceration, and hospitalization as a result of their ACE scores. Further, we hypothesize that males and females will be affected by ACEs differently. Using archival data from a secure forensic psychiatric facility in the Midwestern US, data were collected from 211 participants, of which 80% were males and 18% females. The ages of the participants ranged from 23 to 72 with a median age of 43. Using SPSS software, we were able to determine frequency of the ten categories of abuse, maltreatment, and familial dysfunction as included in the original ACE research. Correlations were run to determine the relationship between ACEs and criminal behavior. Statistical comparisons were also run to examine the differences between males and females. ACE score significantly correlated with age at first psychiatric admission. Males and females were significantly different with regard to ACE score. However, other variables were not significant and suggest that future research need to more deeply examine these differences, and additional variables that may determine criminal outcomes in high-risk samples. ADVERSE CHILDHOOD EXPERIENCES AND CRIMINALITY 3 Effects of Adverse Childhood Experiences on High Risk Inpatient’s Criminal Behavior
Color bands: visualizing dynamic eye movement patterns

We introduce a visualization technique called color bands for showing the time-varying eye movement behavior of eye-tracked people. Our contribution is the clutter-free representation of time-varying x- and y-positions of gaze data. We map these coordinates to vertical positions from left to right as in traditional line plots. On top, we display the differences between the x- and y-coordinates by the thickness of the band. Fixation durations are visually encoded as circles of varying diameters. Color coding is used to additionally enhance the distance values and the durations in order to perceptually beneﬁt from pattern recognition for an individual participant but also to compare the eye movement behavior of several participants. We illustrate the usefulness of our technique in a case study investigating eye movements from a formerly conducted eye tracking study on the readability of node-link tree diagrams
Doubling the dose of budesonide versus maintenance treatment in asthma exacerbations

Background: Previous guidelines recommend doubling the daily dose of maintenance inhaled corticosteroid to treat or prevent progression of exacerbations of asthma. Methods: Over a 6 month period a cohort of patients were evaluated prospectively and randomised in a double blind controlled trial to treatment with either a continued maintenance dose (MD) of inhaled corticosteroid or doubling the dose (DD) at the time of an exacerbation. Results: A total of 290 patients were randomised (33% male) and 98 (DD, n = 46) experienced evaluable asthma exacerbations during the study period. Mean (SD) baseline characteristics at randomisation (age 33.5 (14.0) years; forced expiratory volume in 1 second (FEV1) 2.8 (0.7) l; peak expiratory flow (PEF) 422.9 (110.5) l/min) were similar in both groups. In the DD group 41% of patients were considered treatment failures because they either required systemic steroids (n = 12), had an unscheduled visit to a physician (n = 1), or their asthma did not return to baseline (n = 6). This did not differ from the MD group in which 40% were treatment failures (n = 9, 0, and 12, respectively; p = 0.94). Conclusions: In patients who regularly take an inhaled corticosteroid, doubling the maintenance dose may not affect the pattern of the exacerbation.
Context-based Profiling for Anomaly Intrusion Detection with Diagnosis

Anomaly detection approaches are generally efficient in detecting new attacks. However, they fail in providing any further information regarding the nature of attacks. The first contribution of this paper is to equip an anomaly detection approach with a diagnosis module that classifies anomaly approach outputs in one among well known attack categories. The second contribution concerns a context-based definition of normal network traffic profiles. We provide experimental studies showing for instance that considering normal profile for each service provides better results than considering a unique global normal profile.
Reasoning about Explanations for Negative Query Answers in DL-Lite

In order to meet usability requirements, most logic-based applications provide explanation facilities for reasoning services. This holds also for Description Logics, where research has focused on the explanation of both TBox reasoning and, more recently, query answering. Besides explaining the presence of a tuple in a query answer, it is important to explain also why a given tuple is missing. We address the latter problem for instance and conjunctive query answering over DL-Lite ontologies by adopting abductive reasoning; that is, we look for additions to the ABox that force a given tuple to be in the result. As reasoning tasks we consider existence and recognition of an explanation, and relevance and necessity of a given assertion for an explanation. We characterize the computational complexity of these problems for arbitrary, subset minimal, and cardinality minimal explanations.
Ultra-low power RFIC design using moderately inverted MOSFETs: an analytical/experimental study

This paper studies the use of moderately inverted MOS transistors in ultra-low power (ULP) RFIC design. We introduce a new figure of merit for a MOS transistor, i.e., the gmfT-to-current ratio, (gmfT/ID) which accounts for both the unity-gain frequency and current consumption during the optimization process of the transistor's performance. Using this figure of merit while taking into account the velocity saturation of short-channel MOS devices, it is shown both experimentally and analytically that the gmfT/ID reaches its maximum value in moderate inversion region. Moreover, we analytically investigate the noise behavior of the MOS transistor during the transition from weak inversion to strong inversion region. The measurement results have been obtained for an NMOS transistor fabricated in Jazz Semiconductor's CMOS process
The "Small-World" Characteristic of Author Co-Words Network

The co-words network of the author key words is a knowledge network mapped according to the co-occurrence phenomenon of key words in a number of papers. It reflects the relation among multiple vocabulary conceptions and also represents the structure of scientific research. With the social network analysis technology, the structural analysis of co-words network shows that the average distance is 2.814 and the clustering coefficient is 0.735, demonstrating the obvious existence of small-world characteristic.
An Electromagnetic Tracking System for Surgical Navigation with registration of fiducial markers using the iterative closest point algorithm

During a minimal invasive neurosurgery it is necessary to know precisely the 3D position of the surgical instruments and their relationship and interaction with the anatomy of the human brain. Today, on developing countries many surgeons still operate without 3D visual aids, managing instruments in the blind. With this idea we developed a new technique of Computer Assisted Surgery (CAS). We developed a new neuronavigator called Neuropanacea. It consists of our image processing software, the electromagnetic tracker for the localization of each one of the surgical instruments in the surgical room, and a personal computer (PC). The procedure for registration of these points captured using an electromagnetic tracker with the 3D space coordinates of the volume might be too complex. The main problem consists on finding the geometrical homogeneous transform to apply it to the acquired points with the electromagnetic tracker, and the registration of the fiducial markers visualized on the 3D volume. If we have the sorted correspondence of each one of the points in both systems, it is always possible to find a homogeneous transform into another system. However, in most of these cases we do not have this orderly set. One method to solve this problem is the iterative closest point (ICP). This work refers to the original algorithm of ICP. From this implementation we proposed two improvements for its correct convergence. The mean square error using the original algorithm was reduced from 2.1 ± 0.5 mm, to less than 0.5 mm.
Systematic characterization of lncRNAs' cell-to-cell expression heterogeneity in glioblastoma cells

Glioblastoma (GBM) is the most common malignant adult brain tumor generally associated with high level of cellular heterogeneity and a dismal prognosis. Long noncoding RNAs (lncRNAs) are emerging as novel mediators of tumorigenesis. Recently developed single-cell RNA-seq provides an unprecedented way for analysis of the cell-to-cell variability in lncRNA expression profiles. Here we comprehensively examined the expression patterns of 2,003 lncRNAs in 380 cells from five primary GBMs and two glioblastoma stem-like cell (GSC) lines. Employing the self-organizing maps, we displayed the landscape of the lncRNA expression dynamics for individual cells. Further analyses revealed heterogeneous nature of lncRNA in abundance and splicing patterns. Moreover, lncRNA expression variation is also ubiquitously present in the established GSC lines composed of seemingly identical cells. Through comparative analysis of GSC and corresponding differentiated cell cultures, we defined a stemness signature by the set of 31 differentially expressed lncRNAs, which can disclose stemness gradients in five tumors. Additionally, based on known classifier lncRNAs for molecular subtypes, each tumor was found to comprise individual cells representing four subtypes. Our systematic characterization of lncRNA expression heterogeneity lays the foundation for future efforts to further understand the function of lncRNA, develop valuable biomarkers, and enhance knowledge of GBM biology.
The Analytic Bilinear Discrimination of Single-Trial EEG Signals in Rapid Image Triage

The linear discriminant analysis (LDA) method is a classical and commonly utilized technique for dimensionality reduction and classification in brain-computer interface (BCI) systems. Being a first-order discriminator, LDA is usually preceded by the feature extraction of electroencephalogram (EEG) signals, as multi-density EEG data are of second order. In this study, an analytic bilinear classification method which inherits and extends LDA is proposed. This method considers 2-dimentional EEG signals as the feature input and performs classification using the optimized complex-valued bilinear projections. Without being transformed into frequency domain, the complex-valued bilinear projections essentially spatially and temporally modulate the phases and magnitudes of slow event-related potentials (ERPs) elicited by distinct brain states in the sense that they become more separable. The results show that the proposed method has demonstrated its discriminating capability in the development of a rapid image triage (RIT) system, which is a challenging variant of BCIs due to the fast presentation speed and consequently overlapping of ERPs.
Achievable and Crystallized Rate Regions of the Interference Channel with Interference as Noise

The interference channel achievable rate region is presented when the interference is treated as noise. The formulation starts with the 2-user channel, and then extends the results to the n-user case. The rate region is found to be the convex hull of the union of n power control rate regions, where each power control rate region is upperbounded by a (n-1)-dimensional hyper-surface characterized by having one of the transmitters transmitting at full power. The convex hull operation lends itself to a time-sharing operation depending on the convexity behavior of those hyper-surfaces. In order to know when to use time-sharing rather than power control, the paper studies the hyper-surfaces convexity behavior in details for the 2-user channel with specific results pertaining to the symmetric channel. It is observed that most of the achievable rate region can be covered by using simple On/Off binary power control in conjunction with time-sharing. The binary power control creates several corner points in the n-dimensional space. The crystallized rate region, named after its resulting crystal shape, is hence presented as the time-sharing convex hull imposed onto those corner points; thereby offering a viable new perspective of looking at the achievable rate region of the interference channel.
The Phase Transition for Random Subgraphs of the ncube

We describe recent results, obtained in collaborations with C. Borgs, J.T. Chayes, R. van der Hofstad and J. Spencer, which provide a detailed description of the phase transition for random subgraphs of the n-cube. Résumé. Nous présentons des résultats récents qui donnent une description détaillée de la transition de phase des sous-graphes aléatoires du n-cube. Ces résultats sont obtenus en collaboration avec C. Borgs, J.T. Chayes, R. van der Hofstad et J. Spencer.
Virus strategies for passing the nuclear envelope barrier

Viruses that replicate in the nucleus need to pass the nuclear envelope barrier during infection. Research in recent years indicates that the nuclear envelope is a major hurdle for many viruses. This review describes strategies to overcome this obstacle developed by seven virus families: herpesviridae, adenoviridae, orthomyxoviridae, lentiviruses (which are part of retroviridae), Hepadnaviridae, parvoviridae and polyomaviridae. Most viruses use the canonical nuclear pore complex (NPC) in order to get their genome into the nucleus. Viral capsids that are larger than the nuclear pore disassemble before or during passing through the NPC, thus allowing genome nuclear entry. Surprisingly, increasing evidence suggest that parvoviruses and polyomaviruses may bypass the nuclear pore by trafficking directly through the nuclear membrane. Additional studies are required for better understanding these processes. Since nuclear entry emerges as the limiting step in infection for many viruses, it may serve as an ideal target for antiviral drug development.
Effects of saffron (Crocus sativus) petal ethanolic extract on hematology, antibody response, and spleen histology in rats

Objective: Saffron petal is a by-product that contains flavonoids and anthocyanins. In order to study the effects of saffron petal extract (SPE) on blood parameters, immune system, and spleen histology, five treatments (n=6) were used in a completely randomized design. Materials and Methods: The treatments were 0, 75, 150, 225, and 450 mg/kg body weight of SPE. The SPE was injected intraperitoneally to 30 rats (10-week old, weighing 225±15 g) for 14 days. Immunization was performed using 1×108 sheep red blood cells (SRBC) on days 0 and 7 subcutaneously in all treatment groups. On day 15, blood was collected from the heart of rats after anesthesia. One part of samples were poured in heparinized tubes for counting whole blood cells (CBC) and different white blood cells (WBC) and the other part was used to measure IgG using ELISA technique. The spleen was stained by hematoxylin- eosin for histological study. The data were statistically analyzed using ANOVA program and the means evaluation was done using Tukey’s test. Results are presented as mean±SD. Results: Results showed no significant difference between treatments and control group regarding the amount of RBC, HGB, HCT, and PLT. The level of IgG at 75 mg/kg was significantly increased in comparison with other groups. No changes were observed in spleen histology. Conclusion: The results indicate that use of SPE at dose of 75 mg/kg causes an increase in antibody response without any change in hematological parameters and spleen histology.
Generalised space-time model for Rayleigh fading channels with non-isotropic scatterer distribution

A generalised space-time model based on Clarkes/Jakes model is extended to the case of a non-isotropic distribution of scatterers. The respective space-time correlation function and space-frequency cross spectrum around the receiver are derived. A 3-D space-time plot of the correlation function is shown for a specific scatterer distribution based on a typical mobile radio scenario.
POVERTY , HUMAN DEVELOPMENT AND ENTREPRENEURSHIP

Please do not cite without permission of the authors. When I was running about this town a very poor fellow, I was a great arguer for the advantages of poverty; but I was, at the same time, very sorry to be poor. Sir, all the arguments which are brought to represent poverty as no evil, shew it to be evidently a great evil. You never find people labouring to convince you that you may live very happily upon a plentiful fortune. – So you hear people talking how miserable a King must be; and yet they all wish to be in his place.
Capture and diversity in Ricean-faded mobile radio channels

In this paper the capture probabilities, C/sub n/, defined as the probability that any of n contending packets is correctly received, are found, with reference to a random access mobile radio communications system in the presence of fading, shadowing, and near/far effect. A Ricean model for fading, which is more general than the well-studied Rayleigh fading, is then considered. The capture probabilities are computed and their dependence on the system parameters, and in particular on the Rice factor, K, is investigated. The use of antenna diversity to combat fading is also considered. As an example of application, a slotted ALOHA system is considered and the performance of a simple control strategy is studied. Also some analytical results are given as to the value of C/sub /spl infin//=lim/sub n/spl rarr//spl infin//C/sub n/, which is relevant to the study of the system stability.
On the Applicability of Brain Reading for Predictive Human-Machine Interfaces in Robotics

The ability of today's robots to autonomously support humans in their daily activities is still limited. To improve this, predictive human-machine interfaces (HMIs) can be applied to better support future interaction between human and machine. To infer upcoming context-based behavior relevant brain states of the human have to be detected. This is achieved by brain reading (BR), a passive approach for single trial EEG analysis that makes use of supervised machine learning (ML) methods. In this work we propose that BR is able to detect concrete states of the interacting human. To support this, we show that BR detects patterns in the electroencephalogram (EEG) that can be related to event-related activity in the EEG like the P300, which are indicators of concrete states or brain processes like target recognition processes. Further, we improve the robustness and applicability of BR in application-oriented scenarios by identifying and combining most relevant training data for single trial classification and by applying classifier transfer. We show that training and testing, i.e., application of the classifier, can be carried out on different classes, if the samples of both classes miss a relevant pattern. Classifier transfer is important for the usage of BR in application scenarios, where only small amounts of training examples are available. Finally, we demonstrate a dual BR application in an experimental setup that requires similar behavior as performed during the teleoperation of a robotic arm. Here, target recognition processes and movement preparation processes are detected simultaneously. In summary, our findings contribute to the development of robust and stable predictive HMIs that enable the simultaneous support of different interaction behaviors.
Being Fat and Friendly is Not Enough

We show that there is no $(1+\eps)$-approximation algorithm for the problem of covering points in the plane by minimum number of fat triangles of similar size (with the minimum angle of the triangles being close to 45 degrees). Here, the available triangles are prespecified in advance. Since a constant factor approximation algorithm is known for this problem \cite{cv-iaags-07}, this settles the approximability of this problem. We also investigate some related problems, including cover by friendly fat shapes, and independent set of triangles in three dimensions.
Signal Localization, Decomposition and Dictionary Learning on Graphs

Motivated by the need to extract meaning from large amounts of complex data that can be best modeled by graphs, we consider three critical problems in graph signal processing: localization, decomposition and dictionary learning. We are particularly interested in piecewise-constant graph signals that efficiently model local information in the vertex-domain; for such signals, we show that decomposition and dictionary learning are natural extensions of localization. For each of the three problems, we propose a specific graph signal model, an optimization problem and a computationally efficient solver. We then conduct an extensive empirical study to validate the proposed methods on both simulated and real data including the analysis of a large volume of spatio-temporal Manhattan urban data. Using our methods, we are able to detect both everyday and special events and distinguish weekdays from weekends from taxi-pickup activities. The findings validate the effectiveness of our approach and suggest that graph signal processing tools may aid in urban planning and traffic forecasting.
Understanding the impact of VCR operations in P 2 P VoD systems

One of the main challenges faced by peer-topeer (P2P) video-on-demand (VoD) systems is their ability, or lack thereof, to provide VCR functionality (e.g. random jump operations). Such jump operations can have special impact in the server load during flash crowd events, since the server is the only node in the system with a full copy of the video. Currently, there is little knowledge of the impact that such VCR operations can have in the swarm efficiency (and therefore in the playout rate and start-up delay), as well as in the server’s load under different jumping and arrival patterns. In fact, existing state-of-the-art approaches rely mostly on highly over-provisioned peers and servers to absorb such jumping operations. In this paper, we provide the first evaluation of the impact that VCR operations can have on P2P VoD systems for various arrival and viewing patterns. We provide both analytical evidence and experimental results. To better evaluate the impact of these patterns, we have built a system called Kangaroo, which provides advanced DVD-like features, namely arbitrary forward/backward jumps, using an entirely mesh-based network. The system achieves its goals through a combination of carefully designed mechanisms, including proper block scheduling algorithms and peerneighborhood topology management. We also study how viewing patterns affect the performance of the system and use traces captured from a live VoD system, to characterize the performance of the system under realistic workloads.