Miracle-dz/UniFAR-FTUs huggingface dataset:
Area Spectral Efficiency Analysis and Energy Consumption Minimization in Multiantenna Poisson Distributed Networks

We obtain the expression and a lower-bound for area spectral efficiency (ASE) of single-tier Poisson distributed networks considering multiuser MIMO (MU-MIMO) transmission. With the help of the lower-bound, we observe some interesting results. These results are validated via numerical results for the original expression. We find that ASE can be viewed as a concave function with respect to the number of antennas and active users. For the purpose of maximizing ASE, we demonstrate that the optimal number of active users is a fixed portion of the number of antennas. With the optimal number of active users, we observe that ASE increases linearly with the number of antennas. Another contribution of this paper is joint optimization of the base station (BS) density, the number of antennas, and active users to minimize the network energy consumption. We demonstrate that the optimal combination of the number of antennas and active users is the solution that maximizes the energy-efficiency. Besides the optimal algorithm, we propose a suboptimal algorithm to reduce the computational complexity, which can achieve near-optimal performance.
SemVersion: RDF-based ontology versioning system

Knowledge domains and their formal representations via ontologies are typically subject to change in practical applications. Additionally, engineering of ontologies often takes place in distributed settings where multiple independent users interact. Therefore, change management for ontologies becomes a crucial aspect for any kind of ontology management environment. This paper introduces a new RDF-centric versioning approach and an implementation called SemVersion. SemVersion provides structural and semantic versioning for RDF models and RDF-based ontology languages like RDFS. KEYWORDS Knowledge management, Ontology versioning, Triple store, RDF.
Subcutaneous tri‐block copolymer produces recovery from spinal cord injury

We have studied the ability of nonionic detergents and hydrophilic polymers to seal permeabilized membranes of damaged cells, rescuing them from progressive dissolution, degeneration, and death. We report that a single subcutaneous injection of the tri‐block copolymer, Poloxamer 188 (P188) 6 hr after a severe compression of the adult guinea pig spinal cord is able to: (1) preserve the anatomic integrity of the cord; (2) produce a rapid recovery of nerve impulse conduction through the lesion; and (3) produce a behavioral recovery of a spinal cord dependent long tract spinal cord reflex. These observations stood out against a control group in blinded evaluation. Conduction through the lesion was monitored by stimulating the tibial nerve of the hind limb, and measuring the arrival of evoked potentials at the contralateral sensory cortex of the brain (somatosensory evoked potentials; SSEP). Behavioral recovery was determined by a return of sensitivity of formerly areflexic receptive fields of the cutaneous trunchi muscle (CTM) reflex. This contraction of back skin in response to tactile stimulation is totally dependent on the integrity of an identified bilateral column of ascending long tract axons. A statistically significant recovery of both SSEP conduction through the lesion and the CTM reflex occurred in P188‐treated animals compared to vehicle‐treated controls. Quantitative 3D computer reconstruction of the lesioned vertebral segment of spinal cord revealed a statistically significant sparing of spinal cord parenchyma and a significant reduction in cavitation of the spinal cord compared to control animals We determined that the proportion of P188‐treated animals that recovered evoked potentials were nearly identical to that produced by a subcutaneous injection of polyethylene glycol (PEG). In contrast, P188 was not as effective as PEG in producing a recovery of CTM functioning. We discuss the likely differences in the mechanisms of action of these two polymers, and the possibilities inherent in a combined treatment. © 2004 Wiley‐Liss, Inc.
Antimetabolite Treatment for Pancreatic Cancer

Pancreatic cancer is a deadly and aggressive disease. Less than 1% of diagnosed patients survive 5 years with an average survival time of only 4–8 months. The only option for metastatic pancreatic cancer is chemotherapy where only the antimetabolites gemcitabine and 5-fluorouracil are used clinically. Unfortunately, efforts to improve chemotherapy regimens by combining, 5-fluorouracil or gemcitabine with other drugs, such as cisplatin or oxaliplatin, have not increased cell killing or improved patient survival. The novel antimetabolite zebularine shows promise, inducing apoptosis and arresting cellular growth in various pancreatic cancer cell lines. However, resistance to these antimetabolites remains a problem highlighting the need to discover and develop new antimetabolites that will improve a patient’s overall survival.
Logically reconfigurable PUFs: memory-based secure key storage

The security of hardware is essential to the prevention of cloning, theft of service and tampering, and therefore to revenue preservation. An important component of hardware security is secure key storage. The level of security provided by a key is dependent upon the effort required from an attacker to compromise the key. Since the sophistication of tools used to carry out such attacks has increased significantly, protection of traditional key storage approaches, like storing a key in non-volatile memory (NVM), decreases. To fight these attacks Hardware Intrinsic Security (HIS) can be used. An example of HIS are Physically Unclonable Functions (PUFs). In this paper we introduce a new logically reconfigurable PUF (LR-PUF), based on a memory-based PUF. This LR-PUF uses the physical properties of a PUF combined with state information that is stored in NVM. Even though this implementation requires NVM, we will prove that the LR-PUF provides significantly more security than simply storing a key in NVM. The reason for this is that reading the information in NVM will not allow an attacker to derive any information on the key
Postpartum Depression in the Intergenerational Transmission of Child Maltreatment: Longitudinal Evidence from Global Settings

Postpartum Depression in the Intergenerational Transmission of Child Maltreatment: Longitudinal Evidence from Global Settings by Karmel W. Choi Department of Psychology & Neuroscience Duke University Date:_______________________ Approved ___________________________ Kathleen J. Sikkema, Chair ___________________________ Kenneth A. Dodge ___________________________ Terrie E. Moffitt ___________________________ Melissa H. Watt An abstract of a dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Psychology & Neuroscience in the Graduate School of Duke University 2016 Copyright by Karmel W. Choi 2016
Differences in Dopaminergic Modulation to Motor Cortical Plasticity between Parkinson's Disease and Multiple System Atrophy

Dopamine modulates the synaptic plasticity in the primary motor cortex (M1). To evaluate whether the functioning of the cortico-striatal circuit is necessary for this modulation, we applied a paired associative stimulation (PAS) protocol that comprised an electric stimulus to the right median nerve at the wrist and subsequent transcranial magnetic stimulation of the left M1, to 10 patients with Parkinson's disease (PD) and 10 with multiple system atrophy of the parkinsonian type (MSA-P) with and without dopamine replacement therapy (-on/off). To investigate the M1 function, motor-evoked potentials (MEPs) were measured before and after the PAS. In both patient groups without medication, the PAS protocol failed to increase the averaged amplitude of MEPs. The dopamine replacement therapy in PD, but not in MSA-P effectively restored the PAS-induced MEP increase. This suggests that not the existence of dopamine itself but the activation of cortico-striatal circuit might play an important role for cortical plasticity in the human M1.
Does the One-Dimensional Assumption Hold for Site Response Analysis? A Study of Seismic Site Responses and Implication for Ground Motion Assessment Using KiK-Net Strong-Motion Data

The one-dimensional (1-D) approach is still the dominant method to incorporate site effects in engineering applications. To bridge the 1-D to multidimensional site response analysis, we develop quantitative criteria and a reproducible method to identify KiK-net sites with significant deviations from 1-D behavior. We found that 158 out of 354 show two-dimensional (2-D) and three-dimensional (3-D) effects, extending the resonance toward shorter periods at which 2-D or 3-D site effects exceed those of the classic 1-D configurations and imposing an additional amplification to that caused by the impedance contrast alone. Such 2-D and 3-D effects go along with a large within-station ground motion variability. Remarkably, these effects are found to be more pronounced for small impedance contrasts. While it is hardly possible to identify common features in ground motion behavior for stations with similar topography typologies, it is not over-conservative to apply a safety factor to account for 2-D and 3-D site effects in ground motion modeling.
Searching for the scale of homogeneity

ABSTRA C T We introduce a statistical quantity, known as the K function, related to the integral of the twopoint correlation function. It gives us straightforward information about the scale where clustering dominates and the scale at which homogeneity is reached. We evaluate the correlation dimension, D2, as the local slope of the log‐log plot of the K function. We apply this statistic to several stochastic point fields, to three numerical simulations describing the distribution of clusters and finally to real galaxy redshift surveys. Four different galaxy catalogues have been analysed using this technique: the Center for Astrophysics I, the Perseus‐Pisces redshift surveys (these two lying in our local neighbourhood), the Stromlo‐ APM and the 1.2-Jy IRAS redshift surveys (these two encompassing a larger volume). In all cases, this cumulant quantity shows the fingerprint of the transition to homogeneity. The reliability of the estimates is clearly demonstrated by the results from controllable point sets, such as the segment Cox processes. In the cluster distribution models, as well as in the real galaxy catalogues, we never see long plateaus when plotting D2 as a function of the scale, leaving no hope for unbounded fractal distributions.
Further Assessment of Monkeypox Virus Infection in Gambian Pouched Rats (Cricetomys gambianus) Using In Vivo Bioluminescent Imaging

Monkeypox is a zoonosis clinically similar to smallpox in humans. Recent evidence has shown a potential risk of increased incidence in central Africa. Despite attempts to isolate the virus from wild rodents and other small mammals, no reservoir host has been identified. In 2003, Monkeypox virus (MPXV) was accidentally introduced into the U.S. via the pet trade and was associated with the Gambian pouched rat (Cricetomys gambianus). Therefore, we investigated the potential reservoir competence of the Gambian pouched rat for MPXV by utilizing a combination of in vivo and in vitro methods. We inoculated three animals by the intradermal route and three animals by the intranasal route, with one mock-infected control for each route. Bioluminescent imaging (BLI) was used to track replicating virus in infected animals and virological assays (e.g. real time PCR, cell culture) were used to determine viral load in blood, urine, ocular, nasal, oral, and rectal swabs. Intradermal inoculation resulted in clinical signs of monkeypox infection in two of three animals. One severely ill animal was euthanized and the other affected animal recovered. In contrast, intranasal inoculation resulted in subclinical infection in all three animals. All animals, regardless of apparent or inapparent infection, shed virus in oral and nasal secretions. Additionally, BLI identified viral replication in the skin without grossly visible lesions. These results suggest that Gambian pouched rats may play an important role in transmission of the virus to humans, as they are hunted for consumption and it is possible for MPXV-infected pouched rats to shed infectious virus without displaying overt clinical signs.
The Effect of Job Autonomy on Psychological Well-Being: The Mediating Role of Personal Initiative

Employees’ psychological well-being is an important factor affecting organizational performance. Thus, through empirical study, the present article investigates the influence of employees’ job autonomy on their psychological well-being. Specifically, personal initiative will mediate this relationship. To examine a series of hypotheses we developed, online survey was used to collect data. Finally, 380 respondents were accepted. Empirical data showed that employees’ job autonomy is positively related to psychological well-being. Namely, the psychological well-being of employees will gain dramatic improvement when they possess high job autonomy. In addition, through the way of path analysis, we revealed that personal initiative plays a role of intermediary mechanism in the relationship between job autonomy and psychological well-being. In last part, we discussed the contribution, limitations, and the directions of future research.
A Significant Improvement to Clever Algorithm in Hyperlinked Environment

This article addresses a problem with the existing approach by Clever Algorithm on studies of Web hyperlink structure: It does not take into consideration of user behavior when following multiple consecutive hyperlinks. We present an improved algorithm and show that any connected hyperlink graph has a unique hyper-weight (authority weight and hub weight) distribution. Our formulation has connections to the probability following each hyperlink, allows any norm in normalization, and does not require technical assumptions.
Convergence of the groups posterior distribution in latent or stochastic block models

We propose a unified framework for studying both latent and stochastic block models, which are used to cluster simultaneously rows and columns of a data matrix. In this new framework, we study the behaviour of the groups posterior distribution, given the data. We characterize whether it is possible to asymptotically recover the actual groups on the rows and columns of the matrix, relying on a consistent estimate of the parameter. In other words, we establish sufficient conditions for the groups posterior distribution to converge (as the size of the data increases) to a Dirac mass located at the actual (random) groups configuration. In particular, we highlight some cases where the model assumes symmetries in the matrix of connection probabilities that prevents recovering the original groups. We also discuss the validity of these results when the proportion of non-null entries in the data matrix converges to zero.
Electrospray Ionization Mass Spectrometry: A Major Tool to Investigate Reaction Mechanisms in Both Solution and the Gas Phase

Electrospray ionization mass spectrometry (ESI-MS), in conjunction with its tandem version ESI-MS/MS, is now established as a major tool to study reaction mechanisms in solution. This suitability results mainly from the ability of ESI to “fish” ions directly from solution to the gas phase environment of mass spectrometers. In this review, we summarize recent studies from our laboratory on the use of on-line monitoring by ESI-MS ion fishing of several types of reactions that permitted us to follow how these reactions progress as a function of both time and conditions using the ultra-high sensitivity and speed of ESI-MS to detect and even characterize transient reaction intermediates. We also show that the intrinsic reactivity of each key gaseous species fished by ESI can be further investigated via ESI-tandem mass spectrometry experiments, searching for the most active species via gas-phase ion/molecule reactions. In the gas-phase, solvent and counter-ion effects are absent. These studies often permit a detailed overview of major steps via the interception, characterization and reactivity investigation of key reaction players.
Design of a switchable high impedance surface based on single-layer doped graphene for THz application

A new switchable high impedance surface (HIS) is proposed and simulated for THz application using a singlelayer doped graphene in this paper. The effect of gate voltage on the conductivity of graphene is utilized and a proper charged impurity density is selected to provide enough variation range of the surface conductivity. The configuration of the proposed graphene-based HIS is presented and the potential fabrication procedure is also conceived in detail. Since the doped graphene shows a voltage-controlled electrical property varied from a dielectric-like material to a conductorlike one, the switchable reflection characteristic of the surface is observed from simulations.
Expatriates’ success in Ethiopia: Empirical evidence on the overlooked impact of cultural value alignment

The present study assessed the impact on the work engagement of expatriates’ personal value orientation alignment with the host country’s national culture. Participants were 231 expatriates from seven countries who are working in Ethiopia (females = 17%; mean age = 36 years, SD = 2.72 years). The expatriates completed measures of personal value orientation, cross-culture adjustment, and work engagement levels. Structural equation modelling analysis indicated expatriates with personal value orientations that align with the host country’s national culture to have a higher work engagement level. Cross-cultural adjustment mediated the relationship between personal value orientation and work engagement. Expatriates’ personal value orientation fit with the host country’s national culture is a resource to accomplish their work successfully.
Effectiveness of antiviral treatment in human influenza A(H5N1) infections: analysis of a Global Patient Registry.

BACKGROUND Influenza A(H5N1) continues to cause infections and possesses pandemic potential. METHODS Data sources were primarily clinical records, published case series, and governmental agency reports. Cox proportional hazards regression was used to estimate the effect of treatment on survival, with adjustment using propensity scores (a composite measure of baseline variables predicting use of treatment). RESULTS In total, 308 cases were identified from 12 countries: 41 from Azerbaijan, Hong Kong SAR, Nigeria, Pakistan, and Turkey (from clinical records); 175 from Egypt and Indonesia (from various sources); and 92 from Bangladesh, Cambodia, China, Thailand, and Vietnam (from various publications). Overall crude survival was 43.5%; 60% of patients who received ≥1 dose of oseltamivir alone (OS(+)) survived versus 24% of patients who had no evidence of anti-influenza antiviral treatment (OS(-)) (P <.001). Survival rates of OS(+) groups were significantly higher than those of OS(-) groups; benefit persisted with oseltamivir treatment initiation <or=6-8 days after symptom onset. Multivariate modeling showed 49% mortality reduction from oseltamivir treatment. CONCLUSIONS H5N1 causes high mortality, especially when untreated. Oseltamivir significantly reduces mortality when started up to 6-8 days after symptom onset and appears to benefit all age groups. Prompt diagnosis and early therapeutic intervention should be considered for H5N1 disease.
The Barriers to the Use of ICT in Teaching in Saudi Arabia: A Review of Literature.

The paper reports some of the reasons behind the low use of Information and Communication Technology (ICT) by teachers. The paper has reviewed a number or studies from different parts of the world and paid greater attention to Saudi Arabia. The literature reveals a number of factors that hinder teachers' use of ICT. This paper will focus on lack of access to technology, lack of training and lack of time.
On the Sensitivity of Shape Fitting Problems

In this article, we study shape fitting problems, $\epsilon$-coresets, and total sensitivity. We focus on the $(j,k)$-projective clustering problems, including $k$-median/$k$-means, $k$-line clustering, $j$-subspace approximation, and the integer $(j,k)$-projective clustering problem. We derive upper bounds of total sensitivities for these problems, and obtain $\epsilon$-coresets using these upper bounds. Using a dimension-reduction type argument, we are able to greatly simplify earlier results on total sensitivity for the $k$-median/$k$-means clustering problems, and obtain positively-weighted $\epsilon$-coresets for several variants of the $(j,k)$-projective clustering problem. We also extend an earlier result on $\epsilon$-coresets for the integer $(j,k)$-projective clustering problem in fixed dimension to the case of high dimension.
On the Belyi degree(s) of a curve defined over a number field

Belyi's theorem asserts that a smooth projective curve $X$ defined over a number field can be realized as a cover of the projective line unramified outside three points. In this short paper we investigate the bejaviour of the minimal degree of such a cover. More precisely, we start by defining the absolute Belyi degree of X, which only depends on the $\bar{\bold Q}$-isomorphism class of $X$. We then give a lower bound of this invariant, only depending on the stable primes of bad reduction (as defined in the paper) and we show that this bound is sharp. In the second part of the paper, we introduce the relative Belyi degree of a curve X defined over a fixed number field $K$. We first prove that there exist finitely many $K$-isomorphism classes of curves of bounded (relative) Belyi degree and we then obtain a lower bound, only depending on the primes of bad reduction of the minimal regular model of $X$ over (the ring of integers of) $K$.
Understanding Blind Deconvolution Algorithms

Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of the problem remain challenging and hard to understand. The goal of this paper is to analyze and evaluate recent blind deconvolution algorithms both theoretically and experimentally. We explain the previously reported failure of the naive MAP approach by demonstrating that it mostly favors no-blur explanations. We show that, using reasonable image priors, a naive simulations MAP estimation of both latent image and blur kernel is guaranteed to fail even with infinitely large images sampled from the prior. On the other hand, we show that since the kernel size is often smaller than the image size, a MAP estimation of the kernel alone is well constrained and is guaranteed to succeed to recover the true blur. The plethora of recent deconvolution techniques makes an experimental evaluation on ground-truth data important. As a first step toward this experimental evaluation, we have collected blur data with ground truth and compared recent algorithms under equal settings. Additionally, our data demonstrate that the shift-invariant blur assumption made by most algorithms is often violated.