Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Local Power Balance and Link Reliability on Blackout Risk in Heterogeneous Power Transmission Grids

Many critical infrastructures such as the power transmission grid are heterogeneous both in their basic structure and in some of their underlying characteristics, This heterogeneity can be good for system robustness if it reduces the spread of failures or bad if it adds risk or vulnerability to the system. In this paper we investigate the effect of heterogeneity in the strength of the links between parts of the system network structures, as well as the balance of local generation and demand, on the robustness of the power transmission grid using the OPA complex system model of the power transmission system. It is found that increasing or decreasing the reliability of the links between parts of the grid changes the likelihood of different size failures with neither being optimal for all sizes. Furthermore, imbalances between load and generation in the local regions further degrades the system reliability.
Power, influence and intranet implementation: A safari of South African organizations

Intranets hold great promise as “organizational Internets” to allow information sharing and collaboration across departments, functions and different information systems within an organization. Yet not much is known about how to implement intranets. We adapt a taxonomy based on institutional theory and distinguish six broad diffusion drivers that might be considered to sustain the implementation process. An exploratory field study of four intranet implementations was conducted to analyze which drivers were used and the results that were yielded. We draw several conclusions. First, all six drivers were deployed in the analyzed cases. Second, the choice of drivers varied with the level of the intranet (corporate or unit), the implementation stage, and existing organizational practices and contingencies. Third, it seems that the critical drivers are knowledge building, subsidy and mobilization in the early stages of implementation. In the later stages knowledge deployment, subsidy and innovation directives were most commonly used.
Tissue Turnover Rates and Isotopic Trophic Discrimination Factors in the Endothermic Teleost, Pacific Bluefin Tuna (Thunnus orientalis)

Stable isotope analysis (SIA) of highly migratory marine pelagic animals can improve understanding of their migratory patterns and trophic ecology. However, accurate interpretation of isotopic analyses relies on knowledge of isotope turnover rates and tissue-diet isotope discrimination factors. Laboratory-derived turnover rates and discrimination factors have been difficult to obtain due to the challenges of maintaining these species in captivity. We conducted a study to determine tissue- (white muscle and liver) and isotope- (nitrogen and carbon) specific turnover rates and trophic discrimination factors (TDFs) using archived tissues from captive Pacific bluefin tuna (PBFT), Thunnus orientalis, 1–2914 days after a diet shift in captivity. Half-life values for 15N turnover in white muscle and liver were 167 and 86 days, and for 13C were 255 and 162 days, respectively. TDFs for white muscle and liver were 1.9 and 1.1‰ for δ 15N and 1.8 and 1.2‰ for δ 13C, respectively. Our results demonstrate that turnover of 15N and 13C in bluefin tuna tissues is well described by a single compartment first-order kinetics model. We report variability in turnover rates between tissue types and their isotope dynamics, and hypothesize that metabolic processes play a large role in turnover of nitrogen and carbon in PBFT white muscle and liver tissues. 15N in white muscle tissue showed the most predictable change with diet over time, suggesting that white muscle δ 15N data may provide the most reliable inferences for diet and migration studies using stable isotopes in wild fish. These results allow more accurate interpretation of field data and dramatically improve our ability to use stable isotope data from wild tunas to better understand their migration patterns and trophic ecology.
Order in two-dimensional binary random arrays

Abstract Translational and orientational order in randomly packed planar arrays of hard spheres of two different sizes is investigated. For an appropriate size ratio, we find a dilute phase without translational order, but with very-long-range correlations in the orientations of local hexagonal axes. The phase appears to be a quenched analogue of the equilibrium hexatic phase, which appears in two-dimensional melting theories. The peculiar properties of this hexatic glass are attributed to the tendency of a dilute array of large spheres imbedded in a medium of smaller spheres to trap dislocations. Significant orientational correlations also appear in more concentrated mixtures, giving rise to a six-fold modulation of the structure function in large, but finite, samples.
Motivational Interviewing: Addressing Ambivalence to Improve Medication Adherence in Patients with Bipolar Disorder

Poor adherence to psychotropic medication is a significant issue for patients with bipolar disorder. The effectiveness of medication treatment is limited by high rates of medication non-adherence among this population. Motivational Interviewing is an evidence-based intervention that has been efficacious in promoting behavioral health regimens and treatment recommendations, including medication adherence. By using a patient-centered approach, Motivational Interviewing has been shown to enhance patients’ insight and attitudes toward treatment. This article aims to describe to mental health nurses how to use Motivational Interviewing with bipolar patients to address ambivalence and improve adherence to psychotropic medication regimens.
Curvature-based adaptive remeshing for wavelet-based multiresolution 3D meshes

Most of the meshes coming from a variety of source are over sampled and exhibit highly irregular connectivity that prevent efficient wavelet analysis. Remeshing comes as a solution to sampling and connectivity optimization with respect to the geometry. The main drawback of existing subdivision remeshing approaches is the lack of control either on the number of triangles or on the geometrical error. We propose a new remeshing scheme that directly produces wavelet-based multiresolution meshes which does not suffer from the previous limitations. We provide a finer control on the resulting number of triangles by using an adaptive subdivision scheme. We also show a lowering of the local resulting geometrical error by using a new curvature-based subdivision criterion.
Pancreatic mucinous cystic neoplasm in a male patient.

CONTEXT Mucinous cystic neoplasm (MCN) of the pancreas usually affects female patients and is characterized by an ovarian-type stroma. From literature review, only 9 cases of MCNs have been reported in male patients. CASE REPORT We describe the 10th case of a MCN in a 65-year-old male patient who underwent a distal pancreatectomy with spleen resection and standard lymphadenectomy. CONCLUSIONS MCN may rarely regard male patients, probably for embryological abnormalities.
Numerical Propagation Algorithms and Phase Retrieval Techniques

Both Digital Holography (DH) and Phase Retrieval (PR) are techniques for estimating the complex amplitude of an optical wavefield. This information is useful and can be used for example to measure the deformation of rough surfaces or to examine the distribution of particles over a 3D volume. Free-space PR techniques use a propagation algorithm and at least two known intensity distributions (located in different optical planes) in an iterative procedure to estimate the phase. Since the PR problem is under-determined, there is generally not a unique solution and so the DH approach is considered more accurate. In this contribution we first examine how the choice of propagation algorithm affects the PR performance theoretically using numerical simulations. Then experiments are performed where the results from our PR algorithms are directly compared to the phase distribution estimated using DH. Our findings are discussed in a short conclusion section.
Protecting Primary Users in Cognitive Radio Networks: Peak or Average Interference Power Constraint?

This paper considers spectrum sharing between a cognitive radio (CR) and a primary radio (PR) where the CR protects the PR transmission by regulating the resultant interference power level at the PR receiver to be below some predefined threshold. The interference-power constraint at the PR receiver is usually one of the following two types: average interference power (AIP) constraint that regulates the average power level over different fading states and peak interference power (PIP) constraint that limits the peak power level at each fading state. From CR's perspective, AIP constraint is more favorable than PIP constraint because of its more flexibility for dynamic power allocations. On the contrary, from the perspective of protecting the PR, the more restrictive PIP constraint appears at a first glance to be a better option. Some surprisingly, this paper shows that in terms of various forms of capacity limits achievable for the PR fading channel, namely, ergodic and outage capacities, AIP constraint is also superior over PIP constraint. This result is based upon an interesting interference diversity phenomenon, i.e., variable interference power levels at the PR receiver in the AIP case are more advantageous over constant ones in the PIP case for minimizing the resulted PR capacity losses. Therefore, AIP constraint leads to larger fading channel capacities over PIP constraint for both CR and PR transmissions.
Improving Weakly-Supervised Object Localization By Micro-Annotation

Weakly-supervised object localization methods tend to fail for object classes that consistently co-occur with the same background elements, e.g. trains on tracks. We propose a method to overcome these failures by adding a very small amount of model-specific additional annotation. The main idea is to cluster a deep network's mid-level representations and assign object or distractor labels to each cluster. Experiments show substantially improved localization results on the challenging ILSVC2014 dataset for bounding box detection and the PASCAL VOC2012 dataset for semantic segmentation.
Editorial: From Genes to Species: Novel Insights from Metagenomics

The majority of microbes in many environments are considered “as yet uncultured” and were traditionally considered inaccessible for study through the microbiological gold standard of pure culture. The emergence of metagenomic approaches has allowed researchers to access and study these microbes in a culture-independent manner through DNA sequencing and functional expression of metagenomic DNA in a heterologous host. Metagenomics has revealed an extraordinary degree of diversity and novelty, not only among microbial communities themselves, but also within the genomes of these microbes. Metagenomic analysis can involve sequence-based or functional approaches (or a combination of both). The continuous improvements to DNA sequencing technologies coupled with dramatic reductions in cost have allowed the field of metagenomics to grow at a rapid rate. Many novel insights on microbial community composition, structure, and functional capacity have been gained from sequence-based metagenomics. Functional metagenomics has been utilized, with much success, to identify many novel genes, proteins, and secondary metabolites such as antibiotics with industrial, biotechnological, pharmaceutical, and medical relevance. Future improvements and developments in sequencing technologies, expression vectors, alternative host systems, and novel screening assays will help advance the field further by revealing novel taxonomic and genetic diversity. This Research Topic aims to showcase the utility of metagenomics to gain insights on the microbial and genomic diversity in different environments by revealing the breadth of novelty that was in the past, largely untapped. This Research Topic comprises 19 submissions from experts in the field and covers a broad range of themes and article types (Review, Methods, Perspective, Opinion, and Original Research articles). We have broadly grouped the articles under four themes; functional metagenomics, targeted metagenomics, sequence-based metagenomics, and host-associated.
Scalable Local-Recoding Anonymization using Locality Sensitive Hashing for Big Data Privacy Preservation

While cloud computing has become an attractive platform for supporting data intensive applications, a major obstacle to the adoption of cloud computing in sectors such as health and defense is the privacy risk associated with releasing datasets to third-parties in the cloud for analysis. A widely-adopted technique for data privacy preservation is to anonymize data via local recoding. However, most existing local-recoding techniques are either serial or distributed without directly optimizing scalability, thus rendering them unsuitable for big data applications. In this paper, we propose a highly scalable approach to local-recoding anonymization in cloud computing, based on Locality Sensitive Hashing (LSH). Specifically, a novel semantic distance metric is presented for use with LSH to measure the similarity between two data records. Then, LSH with the MinHash function family can be employed to divide datasets into multiple partitions for use with MapReduce to parallelize computation while preserving similarity. By using our efficient LSH-based scheme, we can anonymize each partition through the use of a recursive agglomerative $k$-member clustering algorithm. Extensive experiments on real-life datasets show that our approach significantly improves the scalability and time-efficiency of local-recoding anonymization by orders of magnitude over existing approaches.
Cervical Cancer Prevention in Low- and Middle-Income Countries: Feasible, Affordable, Essential

The annual worldwide burden of the preventable disease cervical cancer is more than 530,000 new cases and 275,000 deaths, with the majority occurring in low- and middle-income countries (LMIC), where cervical cancer screening and early treatment are uncommon. Widely used in high-income countries, Pap smear (cytology based) screening is expensive and challenging for implementation in LMICs, where lower-cost, effective alternatives such as visual inspection with acetic acid (VIA) and rapid human papillomavirus (HPV)-based screening tests offer promise for scaling up prevention services. Integrating HPV screening with VIA in “screen-and-treat-or-refer” programs offers the dual benefits of HPV screening to maximize detection and using VIA to triage for advanced lesions/cancer, as well as a pelvic exam to address other gynecologic issues. A major issue in LMICs is coinfection with human immunodeficiency virus (HIV) and HPV, which further increases the risk for cervical cancer and marks a population with perhaps the greatest need of cervical cancer prevention. Public–private partnerships to enhance the availability of cervical cancer prevention services within HIV/AIDS care delivery platforms through initiatives such as Pink Ribbon Red Ribbon present an historic opportunity to expand cervical cancer screening in LMICs. Cancer Prev Res; 5(1); 11–17. ©2011 AACR.
A numerical simulation of the residual stresses in laser‐peened friction stir‐welded aluminum 2195 joints

Purpose – The purpose of this paper is to present an analytical framework for predicting the residual stresses that result from the laser shock peening of a friction stir‐welded 2195 aluminum alloy sample, using the finite element software LS‐DYNA.Design/methodology/approach – The pressures resulting from the laser peening are directly applied in an explicit transient analysis as forces. At the completion of the transient analysis, an implicit springback analysis is performed to determine the final residual stresses. This cycle is repeated for the appropriate number of peen applications, including the appropriate overlap of application areas. To validate the analytical framework, a comparison of residual stresses between analysis and a test specimen is made using laser‐peened base material which was not friction stir‐welded. Friction stir welding (FSW) causes residual stresses and material property variations. In this work, the varying material properties regions are simplified and defined as discrete, se.
High-performance NAND and PRAM hybrid storage design for consumer electronics

Recently PRAM (Phase-change RAM) is emerging as a promising next generation non-volatile memory device, because it supports fast byte-level access capability and in-place update (no erase-before-program constraint) unlike traditional NAND Flash. Although this PRAM technology is not matured yet, in terms of capacity and write performance, we expect that using this PRAM with traditional NAND Flash enables us to design high-performance and low cost storage for consumer electronics. So in this paper, we introduce a PRAM and NAND hybrid storage design as a practical approach. To this end, we first define a hybrid storage architecture, and then design a hybrid FTL (Flash Translation Layer) and a hybrid FAT filesystem. Finally, we demonstrate that our proposed hybrid storage solution enhances the storage performance 6 times faster and lifetime 6.4 times longer, on the average.
Dynamic Trading with Reference Point Adaptation and Loss Aversion

We formalize the reference point adaptation process by relating it to a way people perceive prior gains and losses. We then develop a dynamic trading model with reference point adaptation and loss aversion, and derive its semi-analytical solution. The derived optimal stock holding has an asymmetric V-shaped form with respect to prior outcomes, and the related sensitivities are directly determined by the sensitivities of reference point shifts with respect to the outcomes. We also find that the effects of reference point adaptation can be used to shed light on some well documented trading patterns, e.g., house money, break even, and disposition effects.
The ATCOSIM Corpus of Non-Prompted Clean Air Traffic Control Speech

Air traffic control (ATC) is based on voice communication between pilots and controllers and uses a highly task and domain specific language. Due to this very reason, spoken language technologies for ATC require domain-specific corpora, of which only few exist to this day. The ATCOSIM Air Traffic Control Simulation Speech corpus is a speech database of non-prompted and clean ATC operator speech. It consists of ten hours of speech data, which were recorded in typical ATC control room conditions during ATC real-time simulations. The database includes orthographic transcriptions and additional information on speakers and recording sessions. The ATCOSIM corpus is publicly available and provided online free of charge. In this paper, we first give an overview of ATC related corpora and their shortcomings. We then show the difficulties in obtaining operational ATC speech recordings and propose the use of existing ATC real-time simulations. We describe the recording, transcription, production and validation process of the ATCOSIM corpus, and outline an application example for automatic speech recognition in the ATC domain.
Generic and Real-Time Structure from Motion

We introduce a generic and incremental Structure from Motion method. By generic, we mean that the proposed method is independent of any specific camera model. During the incremental 3D reconstruction, parameters of 3D points and camera poses are refined simultaneously by a generic local bundle adjustment that minimizes an angular error between rays. This method has three main advantages: it is generic, fast and accurate. The proposed method is evaluated by experiments on real data with three kinds of calibrated cameras: stereo rig, perspective and catadioptric cameras.
A LC quadrature VCO with wide tuning range for TRPC-UWB application in 0.13-µm CMOS

This paper presents a wideband LC quadrature voltage controlled oscillator (VCO) for novel TRPC-UWB transceiver in 0.13 μm CMOS technology. Based on series coupling structure, and through combining the advanced switched capacitor and MOS varactor techniques, this QVCO's continuous frequency tuning range covers from 5.05 to 5.84 GHz. The measured phase noise at 1 MHz offset from a 5.1 GHz carrier achieves -116.46 dBc/Hz, corresponding to a state of art figure of merit (FoM) at 180.2 dB/Hz. The maximum measured phase error for QVCO over the entire tuning range is below 1.8°.
Comprehensive Reactive Receiver Modeling for Diffusive Molecular Communication Systems: Reversible Binding, Molecule Degradation, and Finite Number of Receptors

This paper studies the problem of receiver modeling in molecular communication systems. We consider the diffusive molecular communication channel between a transmitter nano-machine and a receiver nano-machine in a fluid environment. The information molecules released by the transmitter nano-machine into the environment can degrade in the channel via a first-order degradation reaction and those that reach the receiver nano-machine can participate in a reversible bimolecular reaction with receiver receptor proteins. Thereby, we distinguish between two scenarios. In the first scenario, we assume that the entire surface of the receiver is covered by receptor molecules. We derive a closed-form analytical expression for the expected received signal at the receiver, i.e., the expected number of activated receptors on the surface of the receiver. Then, in the second scenario, we consider the case where the number of receptor molecules is finite and the uniformly distributed receptor molecules cover the receiver surface only partially. We show that the expected received signal for this scenario can be accurately approximated by the expected received signal for the first scenario after appropriately modifying the forward reaction rate constant. The accuracy of the derived analytical results is verified by Brownian motion particle-based simulations of the considered environment, where we also show the impact of the effect of receptor occupancy on the derived analytical results.
The Determinants of Success in Venture Capital Finance

The influence of portfolio size on venture capitalists’ success rates is examined in this manuscript. I demonstrate that venture capitalists exhibit a tendency to increase the number of portfolio investments following periods of growth in commitments from limited partners. Subsequently, I find that the increase in portfolio size is negatively related to venture capitalists’ rates of success across a sample of 1247 venture funds spanning a twenty-year time period.
Microsystem technology for adaptive intracellular sensing and manipulation

Hybrid integration of radiofrequency microswitches into planar microchambers with microfluidics channels for adaptive biosensing applications was recently demonstrated. This paper advocates for an even higher level of integration where the switches are directly embedded into the planar microchamber electrodes to direct its operation between different sensing and probing modes, and for application to biological cells. It is demonstrated that such integration enhances the achievable detection sensitivity with moderate technological complexity.
The dysequilibrium syndrome: a study of the etiology and pathogenesis

The optimality of prenatal and perinatal conditions, serum levels of radioreceptor‐assayable somatomedins and activity of catechol‐O‐methyltransferase in erythrocytes were examined in 13 dysequilibrium (DES) patients. No differences from normal controls were found. As a group, the DES patients were not more exposed to non‐optimal prenatal and perinatal events than healthy controls. No association between DES and somatomedin levels or between DES and catechol‐O‐methyltransferase activity was demonstrated.