Miracle-dz/UniFAR-FTUs huggingface dataset:
The Crime Preventers Scheme: A Community Policing Initiative for Regime Security in Uganda

ABSTRACT For decades, Uganda has received substantial support from development partners to implement Security Sector Reforms (SSR). Using the crime preventers’ scheme that has been implemented by Uganda Police as an element of community policing, I argue that SSR achievements in the country seem unclear and limited. Based on an ethnographic study I illustrate that the widespread crime preventers’ scheme has had contrasting effects on the Ugandan security architecture. The scheme seems to have reduced the police-citizens social distance and augmented police presence while simultaneously cased operational excesses and is routinely used in regime security strategies. To provide a better conceptualization I ask and answer a number of questions; how and why has the crime preventers’ scheme been initiated? How is the scheme related to community policing as we know it? What is the political role of the crime preventers? What motivates people to become active members of the crime preventers’ scheme? How does the scheme empirically operate?
A proposal for a common nomenclature for viral clades that form the species varicella-zoster virus: summary of VZV Nomenclature Meeting 2008, Barts and the London School of Medicine and Dentistry, 24–25 July 2008

Varicella-zoster virus (VZV), the cause of chickenpox and zoster, was the first human herpesvirus to be sequenced fully and the first for which vaccines have been licensed and widely used. Three groups have published genotyping schemes based on single nucleotide polymorphisms (SNPs) and, between them, have identified five distinct phylogenetic clades, with an additional two putative clades. Sequencing of over 23 whole VZV genomes from around the world further refined the phylogenetic distinctions between SNP genotypes. Widespread surveillance in countries in which the varicella vaccine is now in use and the difficulties posed by three unique genotyping approaches prompted an international meeting, at which a common nomenclature based on phylogenetic clades was agreed upon. In this paper, we review the original genotyping schemes and discuss the basis for a novel common nomenclature for VZV strains. We propose a minimum set of SNPs that we recommend should be used to genotype these viruses. Finally, we suggest criteria by which novel clades can be recognized.
Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glaucomatous eyes.

PURPOSE To determine whether combining structural (optical coherence tomography, OCT) and functional (standard automated perimetry, SAP) measurements as input for machine learning classifiers (MLCs; relevance vector machine, RVM; and subspace mixture of Gaussians, SSMoG) improves diagnostic accuracy for detecting glaucomatous eyes compared with using each measurement method alone. METHODS Sixty-nine eyes of 69 healthy control subjects (average age, 62.0, SD 9.7 years; visual field mean deviation [MD], -0.70, SD 1.41 dB) and 156 eyes of 156 patients with glaucoma (average age, 66.4, SD 10.2 years; visual field MD, -3.12, SD 3.43 dB) were imaged with OCT (Stratus OCT, Carl Zeiss Meditec, Inc., Dublin, CA) and tested with SAP (Humphrey Field Analyzer II with Swedish Interactive Thresholding Algorithm, SITA; Carl Zeiss Meditec, Inc.) within 3 months of each other. RVM and SSMoG MLCs were trained and tested on OCT-determined RNFL thickness measurements from 32 sectors ( approximately 11.25 degrees each) obtained in the circumpapillary area under the instrument-defined measurement ellipse and SAP pattern deviation values from 52 points from the 24-2 grid, independently and in combination. Tenfold cross-validation was used to train and test classifiers on unique subsets of the full 225-eye data set, and areas under the receiver operating characteristic curve (AUROC) for the classification of eyes in the test set were generated. AUROC results from classifiers trained on OCT and SAP alone and those trained on OCT and SAP in combination were compared. In addition, these results were compared to currently available OCT measurements (mean retinal nerve fiber layer [RNFL] thickness, inferior RNFL thickness, and superior RNFL thickness) and SAP indices (MD and pattern standard deviation [PSD]). RESULTS The AUROCs for RVM trained on OCT parameters alone, SAP parameters alone and OCT and SAP parameters combined were 0.809, 0.815, and 0.845, respectively. The AUROCs for SSMoG trained on OCT parameters alone, SAP parameters alone, and OCT and SAP parameters combined were 0.817, 0.841, and 0.869, respectively. Combining techniques using both RVM and SSMoG significantly improved on MLC analysis of OCT, but not SAP, measurements alone. Classification performance using RVM and SSMoG was statistically similar. CONCLUSIONS RVM and SSMoG Bayesian MLCs trained on OCT and SAP data can successfully discriminate between healthy and early glaucomatous eyes. Combining OCT and SAP measurements using RVM and SSMoG increased diagnostic performance marginally compared with MLC analysis of data obtained using each technology alone.
Computed tomography and magnetic resonance imaging observations of rhabdomyosarcoma in the head and neck

Head and neck (HN) rhabdomyosarcoma (RMS) is an aggressive malignancy, which is rarely encountered and is commonly misdiagnosed as another type of tumor. The aim of the present study was to investigate the computed tomography (CT) and magnetic resonance imaging (MRI) features of HNRMS and analyze the correlations between the imaging observations and the pathological subtypes. A total of 10 HNRMS patients (three males and seven females; median age, 16 years) were reviewed retrospectively by only CT (n=1), only MRI (n=2), as well as CT and MRI (n=7). In addition, the clinical data, imaging observations and pathological results were recorded and analyzed. The origins of the 10 HNRMSs (eight embryonal and two alveolar subtypes) included the ethmoid sinus (n=4), maxillary sinus (n=1), orbit (n=3), nasopharynx (n=1) and frontotemporal subcutaneous area (n=1). On the CT and MRI images, the soft-tissue masses exhibited ill-defined borders (n=9), bony destruction (n=10), multi-cavity growth (n=7) and cervical lymph node metastasis (n=2), whereas calcification and hemorrhaging were not identified. On CT, eight of the HNRMSs appeared slightly hypodense (2/8) or isodense (6/8) with homogeneous enhancement (4/4). On T1-weighted images (WI), nine tumors exhibited isointensity (9/9) and on T2WI, six tumors demonstrated homogeneous hyperintensity with homogeneous enhancement on contrast-enhanced (CE)-T1WI. In addition, three embryonal RMSs, which originated from the ethmoid sinus, exhibited heterogeneous hyperintensity on T2WI and nodule-shaped enhancement patterns on CE-T1WI. The results of the present study indicated that MRI may accurately demonstrate the location and extent of HNRMS and that the imaging features of HNRMS may be similar to those of other tumors. However, a tumor exhibiting heterogeneous hyperintensity on T2WI and a nodule-shaped enhancement pattern on CE-T1WI in the ethmoid sinus may present specific MRI features, which clearly indicates the botryoid subtype of embryonal RMS.
Holding the severed finger: Korean students’ understanding of historical significance

ABSTRACT This study investigated students’ ideas about historical significance in Korea. Using qualitative, task-based interviews, I interviewed 28 secondary students who had taken Korean and world history courses. In response to various historical contexts, these Korean students relied primarily on a schematic narrative template consisting of ‘tragedy,’ ‘struggle,’ and ‘freedom and equality’ to judge historical significance. This schematic narrative template reflected the national identity which Korea established in the postcolonial context after independence in 1945. By applying this template to world history, moreover, students showed strong sympathy towards the oppressed, and this reflected their resistance to colonial and class hegemony. However, imposing this template resulted in significant omissions and distortions that might hinder the development of critical historical thinking. These findings suggest that a variety of cultural tools are necessary for Korean students to develop more complete and nuanced historical understanding.
Sub-optimal Power Allocation for MIMO Channels

We consider t-input r-output Rayleigh fading channels with transmit-sided correlation, where the receiver knows the channel realizations, and the transmitter only knows the channel statistics. Using Lagrange duality, we develop an easily computable, tight upper bound on the loss in information rate due to the use of any given input covariance for this channel. This bound is applied to two simple transmission strategies. The first strategy is a reduced-rank uniform allocation, in which independent, equal power Gaussian symbols are transmitted on the at strongest eigenvectors of the transmit covariance matrix, where 0 les alpha les 1 is chosen to optimize the resulting information rate. The second strategy is water-filling on the eigenvalues of the transmit covariance matrix. The upper bound on loss shows these strategies are nearly optimal for a wide range of signal to noise ratios and correlation scenarios
A method for authentication and key exchange for seamless inter-domain handovers

With the rapid growth of the Internet and mobile wireless technologies, an ever-increasing requirement on securing services between mobile users and access networks has become especially important. When a user roams into a foreign network, in addition to data confidentiality, mutual authentication between the user and the provider is also a vital issue. These concerns and the desire to stay seamlessly connected lead to the demand of fast authentication and key establishment mechanisms, which are particularly difficult in inter-domain handover scenarios. In this paper, we introduce a novel mechanism to provide a simple but effective method, which forwards the key from the previous access router to the new access router that the mobile node attaches to. With this mechanism, trust relationship can be re-established even if the access routers do not trust each other in such an inter-domain scenario. Compared with the classical authentication method used in GSM and a recently proposed EAP-based secure key exchange protocol, our approach shows advantages of faster key exchange and authentication with only minimal message exchange in the wireless link.
Development of efficient threshold strategies for frequency doubling technology perimetry using computer simulation.

PURPOSE To develop new test procedures for frequency-doubling technology (FDT) perimetry that improve performance beyond those currently used. METHODS Two novel threshold estimation procedures were evaluated: a rapid, efficient binary search technique (REBS) and a maximum-likelihood estimation (ZEST) procedure. A computerized visual field simulation model was developed to determine the accuracy and efficiency of these procedures. This model was constructed using previously derived characteristics of FDT perimetry from both normal observers (n = 506) and those with glaucomatous visual field loss (n = 352). The computer simulation program was used to determine the best parameters for the two new procedures and the effect of variability and response errors on algorithm performance. Comparisons were made to the performance of the modified binary search (MOBS) procedure used in the current commercial implementation of the FDT perimeter. RESULTS Both the optimized REBS and ZEST procedures approximately halved the time required for FDT threshold testing without loss of accuracy or reproducibility. CONCLUSIONS With suitable parameter choices, comparable performance was achieved using either ZEST or REBS. Simulation results indicate that accurate thresholds can be measured with an optimized ZEST or REBS procedure in approximately half the time required by traditional estimation methods.
A Variational Formulation of Symplectic Noncommutative Mechanics

The standard lore in noncommutative physics is the use of first order variational description of a dynamical system to probe the space noncommutativity and its consequences in the dynamics in phase space. As the ultimate goal is to understand the inherent space noncommutativity we propose a variational principle for noncommutative dynamical systems in configuration space, based on results of our previous work [14]. We hope that this variational formulation in configuration space can be of help to elucidate the definition of some global and dynamical properties of classical and quantum noncommutative space.
Differential Expression of the Glutamate Transporter GLT-1 in Pancreas

The glutamate uptake transporter GLT-1 is best understood for its critical role in preventing brain seizures. Increasing evidence argues that GLT-1 also modulates, and is modulated by, metabolic processes that influence glucose homeostasis. To investigate further the potential role of GLT-1 in these regards, the authors examined GLT-1 expression in pancreas and found that mature multimeric GLT-1 protein is stably expressed in the pancreas of wild-type, but not GLT-1 knockout, mice. There are three primary functional carboxyl-terminus GLT-1 splice variants, called GLT-1a, b, and c. Brain and liver express all three variants; however, the pancreas expresses GLT-1a and GLT-1b but not GLT-1c. Quantitative real time-PCR further revealed that while GLT-1a is the predominant GLT-1 splice variant in brain and liver, GLT-1b is the most abundant splice variant expressed in pancreas. Confocal microscopy and immunohistochemistry showed that GLT-1a and GLT-1b are expressed in both islet β- and α-cells. GLT-1b was also expressed in exocrine ductal domains. Finally, glutamine synthetase was coexpressed with GLT-1 in islets, which suggests that, as with liver and brain, one possible role of GLT-1 in the pancreas is to support glutamine synthesis.
A Unified Architecture for a Dual Field ECC Processor Applicable to AES

This paper presents a unified architecture for a dual field Elliptical curve cryptographic (ECC) Processor that can support the operations of both fields, Galois field GF(P) and GF(2m). In this work ECC performance is increased by proper selection of coordinates and arithmetic unit. ECC Arithmetic unit provides the function of Dual field multiplication and addition. Using Elliptical curve cryptography (ECC) key exchange algorithm, two symmetric keys are generated, which can be applied to any symmetric encryption algorithm like AES. Then, the encrypted plaintext is decrypted to get the original plaintext. Simulation is done using Xilinx 13.4 ISE simulator. The proposed Dual field ECC processor design shows that it can reach up to 124.347 MHz, consumes 1.091W power and Occupies 3,066 slices, which is implemented on Xilinx 13.4 Virtex 5 FPGA(Field Programmable Gate array) as a target device.
Current knowledge of US metal and nonmetal miner health: Current and potential data sources for analysis of miner health status

ABSTRACT Little is known about the current health status of US metal and nonmetal (MNM) miners, in part because no health surveillance systems exist for this population. The National Institute for Occupational Safety and Health (NIOSH) is developing a program to characterize burden of disease among MNM miners. This report discusses current knowledge and potential data sources of MNM miner health. Recent national surveys were analyzed, and literature specific to MNM miner health status was reviewed. No robust estimates of disease prevalence were identified, and national surveys did not provide information specific to MNM miners. Because substantial gaps exist in the understanding of MNM miners' current health status, NIOSH plans to develop a health surveillance program for this population to guide intervention efforts to reduce occupational and personal risks for chronic illness.
Negative incorporation, the next generation and involvement in transnational organizations

ABSTRACT Can the negative aspects of incorporation – discrimination, marginalization, and frustration with life in a country of settlement – help us to understand next generation transnationalism? This question is applied to a small, non-representative sample of next generation individuals involved in Mexican and Salvadoran transnational political and philanthropic organizations operating in California and Washington, DC. The findings suggest that negative incorporation had some explanatory potential for the transnational mobilization of some respondents. However, the study also suggests the multiple trajectories and contexts that give rise to next generation transnationalism. Involvement in cross-border organizations appears not only to be a refuge for those who perceive the country of settlement negatively or a means through which individuals can respond to negative experiences; it can also be pursued by individuals that positively identify with the country of settlement and perceive its values favourably, indicating the need for a more synthetic understanding of this phenomenon.
The Structure of Consensus: Network Ties, Legitimation, and Exit Rates of U.S. Feature Film Producer Organizations

Recent research emphasizes that legitimacy depends on consensus among agents (audiences) about the features and activities of organizations (candidates) that become taken-for-granted elements in a social domain. This study examines how consensus is affected by the structure of interaction in the network connecting social audiences to candidate organizations. It analyzes how audience members reach, reinforce, and preserve consensus about candidates' features and behavior, affecting a crucial organizational outcome, survival. The findings show that survival is enhanced by the degree of connectivity and the repeated interactions between audience members and candidate organizations and is reduced by the degree of turnover of audience members. We situate our analysis in the U.S. motion picture industry, where we trace the interorganizational network between feature film producer organizations (candidates) and distributor organizations (the audience) and its influence on producer organizations' exit rates over the period 1912–1970. We find strong support for the claim that the legitimation process has a relational foundation that involves ties between organizational entities and the external others with whom they interact. The results contribute to the dialogue between ecological and network theories of organizations and support the claim that legitimation has a relational foundation involving ties between organizations and audiences.
The role of the interaction of the vinculin proline-rich linker region with vinexin &agr; in sensing the stiffness of the extracellular matrix

ABSTRACT Although extracellular matrix (ECM) stiffness is an important aspect of the extracellular microenvironment and is known to direct the lineage specification of stem cells and affect cancer progression, the molecular mechanisms that sense ECM stiffness have not yet been elucidated. In this study, we show that the proline-rich linker (PRL) region of vinculin and the PRL-region-binding protein vinexin are involved in sensing the stiffness of ECM substrates. A rigid substrate increases the level of cytoskeleton-associated vinculin, and the fraction of vinculin stably localizing at focal adhesions (FAs) is larger on rigid ECM than on soft ECM. Mutations in the PRL region or the depletion of vinexin expression impair these responses to ECM stiffness. Furthermore, vinexin depletion impairs the stiffness-dependent regulation of cell migration. These results suggest that the interaction of the PRL region of vinculin with vinexin &agr; plays a crucial role in sensing ECM stiffness and in mechanotransduction.
Cerebrospinal Nematodiasis in 20 Camelids

Background Information about the clinical and clinicopathologic aspects of cerebrospinal nematodiasis (CN) in camelids is limited. Hypothesis Clinical and therapeutic variables will be identified as factors predictive of survival. Animals Client‐owned camelids suspected of having CN admitted to Purdue University between 1995 and 2015. Methods A retrospective study was performed. A diagnosis of CN was based on cerebrospinal fluid (CSF) eosinophilic pleocytosis or postmortem findings. Results Eleven alpacas and 9 llamas met the inclusion criteria. Seventy‐five percent of the camelids were male (27% castrated and 73% intact). Common clinical abnormalities included proprioceptive deficits (100% of animals), recumbency (55%), tachypnea (55%), and ataxia (40%). Among the 85% of treated animals, 100% received PO fenbendazole, and 88% received a nonsteroidal anti‐inflammatory drug. The survival rate to discharge was 45%. Plasma fibrinogen concentration, creatine kinase activity, and serum creatinine concentration were significantly higher in nonsurvivors. Blood eosinophil count, platelet count, and total CO 2 were significantly lower in nonsurvivors. Factors associated with survival were species, sex, absence of treatment with corticosteroids, and clinical improvement. There was no association between recumbency at admission and survival. A plasma fibrinogen concentration above >266 mg/dL was an excellent diagnostic test to predict survival in the presence of neurological signs or CSF eosinophilia. Conclusions Although prognosis for CN in camelids is guarded, presence of recumbency at admission is not predictive of nonsurvival. Male camelids and llamas appear more likely to die from CN. Corticosteroid treatment is contraindicated in animals diagnosed with CN.
Integration of traditional imaging, expert systems, and neural network techniques for enhanced recognition of handwritten information

This paper examines the interrelationship between traditional imaging techniques, expert systems, and neural networks. It begins with a discussion of neural network concepts. Then, a new taxonomy based on the quality and the complexity of a document is presented. Next, this paper analyzes the impact of neural networks in the context of reading handwritten material, using several examples. Finally, an architecture that utilizes contemporary neural network and expert system techniques, in conjunction with classical image processing, statistical and syntactic techniques, is described.
Might over Morality : Social Values and the Perception of Other Players in Experimental Games

Previous research on social values indicates that individuals' own choices as well as their expectations of others' choices in outcome-interdependent situations varies as a function of the weight they typically assign to their own and others' outcomes. The present study extends this research in that it investigates differences in individuals' interpretations of others' behavior as a function of their social values. Toward this end, subjects classified a priori as cooperative (N = 63), border line (N = 27), or individualistic (N = 41) in value orientation, first played a series of decomposed games with either an altruistic, cooperative, individualistic, or a competitive other. Next the subjects rated the behavior of the other person on the dimensions of evaluation and potency. On the basis of prior research findings, it was expected that cooperators attach more significance to the evaluative dimension, and individualists attach more significance to the potency dimension. The analyses strongly confirmed both hypotheses. An analysis of subjects' allocations of outcomes to self also revealed that only cooperators and border liners behaviorally assimilated to the others' behavior. Hence the subjects who tended to perceive the situation more as one in which "stroeg" or "weak" actions could be taken persisted in their choice behavior, whereas those who defined the situation more in terms of "good" and "bad" assimilated to individualistic choice behavior. © 1986 Academic Press, Inc.