Miracle-dz/UniFAR-FTUs huggingface dataset:
Alimentary Canal of the Adult Blow Fly, Chrysomya megacephala (F.) (Diptera: Calliphoridae)—Part I: Ultrastructure of Salivary Glands

The salivary gland ultrastructure of the adult male blow fly, Chrysomya megacephala (F.) (Diptera: Calliphoridae), was investigated at the ultrastructural level using light microscopy (LM), scanning electron microscopy (SEM), and transmission electron microscopy (TEM). The salivary glands are paired structures composed of a single median deferent duct bifurcated into two long, narrow efferent ducts connected to the coiled tubular glands. The SEM image of the gland surface revealed that the basal lamina is relatively smooth in general, but the whole surface appeared as a trace of rough swollen insertion by intense tracheal ramification. Ultrastructurally, the salivary gland is enclosed within the basal lamina, and interdigitation cytoplasmic extensions were apparent between the adjacent gland cells. The basement membrane appeared infoldings that is similar to the complex of the labyrinth channel. The cytoplasm characteristic of the gland revealed high activity, based on the abundance of noticeable secretory granules, either singly or in an aggregated reservoir. In addition, mitochondria were found to intersperse among rich parallel of arrays rough endoplasmic reticulum. Thick cuticle, which was well-delineated and electron dense, apically lined the gland compartments, with discontinuity of the double-layer cuticle revealing a trace of secretion discharged into the lumen. Gross anatomy of the adult salivary gland was markedly different from that of the third instar of the same species, and structural dissimilarity is discussed briefly.
Absence of isolated nodes in inhomogeneous random key graphs

We introduce a new random key predistribution scheme for securing heterogeneous wireless sensor networks. Each of the n sensors in the network is classified into r classes according to some probability distribution μ = {μ1, . , μr}. Before deployment, a class i sensor is assigned Ki cryptographic keys that are selected uniformly at random from a common pool of P keys, for each i = 1, . , r. Once deployed, a pair of sensors can establish a secure communication channel if and only if they have a key in common. We model the topology of this network by an inhomogeneous random key graph. We establish scaling conditions on the parameters P and {K1, . , Kr} so that the this graph has no isolated nodes with high probability. The result is given in the form of a zero-one law with the number of sensors n growing unboundedly large. An analogous result is also conjectured for the property of graph connectivity.
Long-term Price Range Forecast Applied to Risk Management Using Regression Models

Long-term contractual decisions are the basis of an efficient risk management. However those types of decisions have to be supported with a robust price forecast methodology. This paper reports a different approach for long-term price forecast which tries to give answers to that need. Making use of regression models, the proposed methodology has as main objective to find the maximum and a minimum Market Clearing Price (MCP) for a specific programming period, and with a desired confidence level plusmn Due to the problem complexity, the meta-heuristic Particle Swarm Optimization (PSO) was used to find the best regression parameters and the results compared with the obtained by using a Genetic Algorithm (GA). To validate these models, results from realistic data are presented and discussed in detail.
A NEW SUPER RESOLUTION TECHNIQUE FOR RANGE DATA

Current Time-of-Flight matrix sensors allow for the acquisition of range maps, i.e. surface data, at video rate. This possibility is rather intriguing in light of its applications to 3D video and general motion capture. Unfortunately the resolution of the range maps acquired by such devices is quite limited specially if compared with standard color cameras. This makes highly desirable methods for improving the resolution of range maps. The characteristics of range data are completely different from those of images since geometry and light intensity are physically different quantities, therefore methods suited to image interpolation do not perform well with range data. This work presents an original interpolation technique that exploits side information from a standard color camera to increase the resolution of range maps and demonstrates its performance.
Empirical evaluation of signal-strength fingerprint positioning in wireless LANs

This paper proposes a novel localization technique based on a multivariate Gaussian modeling of the signal strength measurements collected from several access points (APs) at different locations. It considers a discretized grid-like form of the environment and computes a signature at each cell of the grid. At run time the system compares the signature at the unknown position with the signature of each cell using the Kullback-Leibler Divergence estimation (KLD) between their corresponding probability densities. The paper evaluates the performance of the proposed technique and compares it with other statistical fingerprint-based localization systems. The performance analysis studies were conducted at the premises of a research laboratory and an aquarium under various conditions. Furthermore, the paper evaluates the impact of the number of APs and the size of the measurement datasets.
Auto-spermatophore extrusion in male crickets

SUMMARY The reproductive cycle of the male cricket consists of the mating stage and the sexually refractory stage. The latter is further divided into the first refractory stage (RS1) from spermatophore extrusion in copulation to spermatophore preparation after copulation, and the second refractory stage (RS2) from spermatophore preparation to recommencement of a calling song. RS2 is time-fixed and unaffected by the female or by stress, hence RS2 is assumed to be controlled by the reproductive timer. Previously, we suggested that the timer is located in the terminal abdominal ganglion (TAG), because functional inactivation of the TAG by local cooling lengthened RS2 in proportion to cooling time. To obtain further evidence of timer localization and to examine the operation of the timer in dissected animals, we investigated the characteristics of auto-spermatophore extrusion, a phenomenon in which males eject the mature spermatophore themselves without any prior courtship. The occurrence of auto-spermatophore extrusion was 100% in dissected males with the TAG separated, compared to 1.7% in intact males. The time interval (SPaSE) between spermatophore preparation and auto-spermatophore extrusion was comparable to RS2 measured by the calling song. Spike recording from a genital motor neurone in the separated TAG indicated that burst discharge associated with auto-spermatophore extrusion occurred with a SPaSE comparable to RS2. Other efferent neurones, some of which were identified as dorsal unpaired median (DUM) neurones, showed a time-dependent spike frequency increase during SPaSE. These results strengthen our previous conclusion that the reproductive timer is located within the TAG, and demonstrate that the timer functions normally even when the TAG is separated from the central nervous system.
Design and implementation of an analog front-end circuit for semi-passive HF RFID tag

This paper presents an analog front-end circuit for semi-passive HF RFID tag compatible to ISO/IEC 14443 Type A. System architecture is constructed. The proposed AFE has realized much longer recognition distance than passive tags and can work normally when the magnetic field is 0.3 A/m. It was fabricated with HHNEC 0.13 μm 1P4M CMOS technology with its layout area of 416 μm×472 μm. Measurement results show that this AFE can successfully demodulate the 100% ASK modulated signal and the index of the subcarrier modulation can achieve as high as 16.4%. Its power consumption is as low as 129.6 μW. This chip met the demands of an HF semi-passive tag and made it possible to implant the temperature sensor in the tag.
Influence of Contextual Work Factors on Burnout and Job Satisfaction among Mental Health Social Workers in Myanmar

The purpose of this study was to examine the direct and indirect influence of six contextual work factors (workload, control, reward, community, fairness and value) on job satisfaction, mediated by three dimensions of burnout (emotional exhaustion, depersonalization, and negative personal accomplishment) among Myanmar mental health social workers. A national sample of 205 mental health social workers various local and international organizations across Myanmar participated. The results showed that for mental health social workers in Myanmar, the factors of workload, control over their work environment, and perceived fairness in how they are treated in their job have direct influences on their level of job satisfaction. Workload exerted both direct and indirect influences on job satisfaction, being mediated by depersonalization and negative personal accomplishment. Fairness indirectly influenced job satisfaction, being mediated by depersonalization. The results also revealed that workload was positively associated with emotional exhaustion. Emotional exhaustion, however, was not significantly associated with the participants’ level of job satisfaction. The results of the current study highlight the importance of workload and fairness in creating and maintaining healthy work environments that can prevent burnout and increase job satisfaction among mental health social workers in Myanmar.
A review of current imaging methods used in stroke research

Abstract Stroke is a serious healthcare problem with high mortality and long-term disability. However, to date, our ability to prevent and cure stroke remains limited. One important goal in stroke research is to identify the extent and location of lesion for treatment. In addition, accurately differentiating salvageable tissue from infarct and evaluating therapeutic efficacies are indispensible. These objectives could potentially be met with the assistance of modern neuroimaging techniques. This paper reviews current imaging methods commonly used in ischemic stroke research. These methods include positron emission tomography, computed tomography, T1 MRI, T2 MRI, diffusion and perfusion MRI, diffusion tensor imaging, blood–brain barrier permeability MRI, pH-weighted MRI, and functional MRI.
A historical geography of housing crisis in Australia

ABSTRACT Much of the current debate on Australian housing affordability suggests that it is a new ‘crisis’. Yet Australia’s housing history is littered with a series of housing crises, and since the early days of white settlement in Australia the availability of housing has been an ongoing governmental concern. The focus of this paper is on the 1940s housing crisis that contributed to housing becoming one of the cornerstones of the federal government’s post-war reconstruction agenda. This paper adopts a governmentality theory perspective to explore how Australia’s housing problems and solutions were constructed during this period, through an in-depth textual analysis of key documents produced at the time. The wider project of post-war reconstruction was understood to have important spatial dimensions. As a consequence, both the problematisation of housing and the design of housing policy as a solution to these challenges were distinctly spatial. While the present debate echoes many of the longer-run discourses characterising housing crises, the current axiom that markets are best placed to mediate housing affordability overlooks key lessons from the past: that affordable housing necessarily entails governmental interventions, and geographically imagined problematisations and solutions.
The Stock Market, Product Uniqueness, and Comovement of Peer Firms

Using text-based computational analysis, we examine whether rm stock market valuations reect product uniqueness and how rms covary with peers in the stock market. We nd that rms have higher stock market valuations than matched peer rms when their product portfolios are more unique relative to matched peer rms. We also nd that the returns of text-based peers better explain own-stock returns than traditional industry peers. These results hold for both conglomerate rms and single segment rms using best-matched single-segment peer rms. Overall, our ndings show that the stock market values product uniqueness and recognizes peer groups based on fundamental product characteristics that are not reected in standard peer groupings.
Effect of temperature and nutrients on the growth and development of seedlings of an invasive plant

Little is known about how alien plants that arrive in central Europe from climatically warmer regions cope with the temperature conditions at the early stage of population development. Using Ambrosia artemisiifolia (common ragweed), an invasive annual plant as a model, we found that the rate of seedling development decreased with decrease in temperature and nutrient supply. Our results thus highlight temperature as the main determinant of common ragweed's distribution and identify nutrient availability as a factor that results in the realized niche being smaller than the fundamental niche.
A case for conflict across multiple domains: Memory and language impairments following damage to ventrolateral prefrontal cortex

Patients with focal lesions to the left inferior frontal gyrus (LIFG; BA 44/45) exhibit difficulty with language production and comprehension tasks, although the nature of their impairments has been somewhat difficult to characterize. No reported cases suggest that these patients are Broca's aphasics in the classic agrammatic sense. Recent case studies, however, do reveal a consistent pattern of deficit regarding their general cognitive processes: They are reliably impaired on tasks in which conflicting representations must be resolved by implementing top-down cognitive control (e.g., Stroop; memory tasks involving proactive interference). In the present study, we ask whether the language production and comprehension impairments displayed by a patient with circumscribed LIFG damage can best be understood within a general conflict resolution deficit account. We focus on one patient in particular—patient I.G. —and discuss the implications for language processing abilities as a consequence of a general cognitive control disorder. We compared I.G. and other frontal patients to age-matched control participants across four experiments. Experiment 1 tested participants' general conflict resolution abilities within a modified working memory paradigm in an attempt to replicate prior case study findings. We then tested language production abilities on tasks of picture naming (Experiment 2) and verbal fluency (Experiment 3), tasks that generated conflict at the semantic and/or conceptual levels. Experiment 4 tested participants' sentence processing and comprehension abilities using both online (eye movement) and offline measures. In this task, participants carried out spoken instructions containing a syntactic ambiguity, in which early interpretation commitments had to be overridden in order to recover an alternative, intended analysis of sentence meaning. Comparisons of I.G. 's performance with frontal and healthy control participants supported the following claim: I.G. suffers from a general conflict resolution impairment, which affects his ability to produce and comprehend language under specific conditions—namely, when semantic, conceptual, and/or syntactic representations compete and must be resolved.
Early Changes in Protein Expression Detected by Mass Spectrometry Predict Tumor Response to Molecular Therapeutics

Biomarkers that predict therapeutic response are essential for the development of anticancer therapies. We have used matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) to directly analyze protein profiles in mouse mammary tumor virus/HER2 transgenic mouse frozen tumor sections after treatment with the erbB receptor inhibitors OSI-774 and Herceptin. Inhibition of tumor cell proliferation and induction of apoptosis and tumor reduction were predicted by a >80% reduction in thymosin β4 and ubiquitin levels that were detectable after 16 hours of a single drug dose before any evidence of in situ cellular activity. These effects were time- and dose-dependent, and their spatial distribution in the tumor correlated with that of the small-molecule inhibitor OSI-774. In addition, they predicted for therapeutic synergy of OSI-774 and Herceptin as well as for drug resistance. These results suggest that drug-induced early proteomic changes as measured by MALDI-MS can be used to predict the therapeutic response to established and novel therapies.
Shallow water Lagrangian floats as versatile sensing and imaging platforms

This paper presents results from recent work using a shallow water Lagrangian float for sea floor imaging and water column profiling. The float is a flexible platform that is able to carry a suite of sensors and position itself at any point in the water column using ballast control. The low cost of the float and minimal peripheral requirements for personnel and handling gear make it an attractive monitoring platform. Initial results are shown for a sea floor classification study using the float to collect detailed camera images close to the bottom and a routine phytoplankton study demonstrating flexible profiling and adaptive sampling in coastal waters. Introduction: The float (Fig. 1) is a low cost environmental monitoring tool designed to work near shore [1], [2]. It has a set of capabilities distinct from the more common open ocean float designs [3], and other small [4] and bottom stationing [5] shallow water platforms. It is optimized to operate on time scales of days rather than years, and depths to 100 meters rather than the 2000 meters typical of open ocean Argo floats. The float’s displacement is controlled by a fast acting 450mL piston type volume changing system. A motor, lead screw and piston change the float’s buoyancy to actively move it up and down in the water column. The control system is based on a feedback linearization approach which compensates for the quadratic velocity of the drag force acting on the float when in motion. Shaped inputs are also used to generate depth reference signals the float is capable of following. A 200 kHz Airmar acoustic altimeter is used to measure the distance to the bottom at all times and has a working range of approximately 100 meters. This allows the float to perform constant depth or altitude drifting, and several profiling functions while controllin g its vertical position in the water column. In regions of varying bathymetry the altimeter is required to keep the float from hitting the bottom and allows it to drift at a constant altitu de off the bottom even as the total water depth changes. At the completion of a mission the float can drop a one kilogram expendable weight to gain more buoyancy on the surface. The weight will also be dropped during a mission by a dead man timer should the microcontoller have a fault or an excessive internal humidity threshold is detected. A GPS and Iridium system is used to record GPS when the float is on the surface and then report that position back via a satellite phone data message. C. Roman is an Assistant Professor of Oceanography in the Grad uate School of Oceanography at the University of Rhode Island, Na rrag nsett, RI 02882 USAcnr@gso.uri. edu G. Inglis and C. Tennant are students in the Department of Ocean Engineering at the University of Rhode Island, Narrag nsett, RI 02882 USA gabrielle.inglis@gmail.com and ctennant@my.uri. edu 1 meter
A 7.5Gb/s transmitter with self-adaptive FIR

This paper presents a transmitter FIR filter and a coefficient adaptation method based on exploration of the receive eye at the far end receiver. This method does not require backchannel or coding overhead and does not involve any proprietary functionality in the far-end SerDes. The transmitter FIR and the proposed adaptation method were proven in a CMOS 65 n SerDes over a variety of copper media for data-rates up to 9.4 Gbps.
Understanding quality in conceptual modeling

With the increasing focus on early development as a major factor in determining overall quality, many researchers are trying to define what makes a good conceptual model. However, existing frameworks often do little more than list desirable properties. The authors examine attempts to define quality as it relates to conceptual models and propose their own framework, which includes a systematic approach to identifying quality-improvement goals and the means to achieve them. The framework has two unique features: it distinguishes between goals and means by separating what you are trying to achieve in conceptual modeling from how to achieve it (it has been made so that the goals are more realistic by introducing the notion of feasibility); and it is closely linked to linguistic concepts because modeling is essentially making statements in some language. <<ETX>>
Distributed Mini-Batch SDCA

We present an improved analysis of mini-batched stochastic dual coordinate ascent for regularized empirical loss minimization (i.e. SVM and SVM-type objectives). Our analysis allows for flexible sampling schemes, including where data is distribute across machines, and combines a dependence on the smoothness of the loss and/or the data spread (measured through the spectral norm).
Intra-Osseous Ganglion of the Proximal Humerus: A Case Report

We report a 72-year-old woman with a type-1 intra-osseous ganglion in the proximal humerus, extending to the bone surface. We conducted a systemic review of intra-osseous ganglion cases in Japan to identify clinical features and pathogenesis of this condition. The anatomical distribution between intra-osseous ganglia without a communicating soft tissue ganglion (type 1) and those with (type 2) is different. The origins of intra-osseous ganglia vary and depend on their anatomical location. They can arise from within the bone or in the adjacent soft tissue, and can progress to a type-2 lesion in either an outside-in or inside-out fashion.
Robust Face Recognition Using Multiple Self-Organized Gabor Features and Local Similarity Matching

Gabor-based face representation has achieved enormous success in face recognition. However, one drawback of Gabor-based face representation is the huge amount of data that must be stored. Due to the nonlinear structure of the data obtained from Gabor response, classical linear projection methods like principal component analysis fail to learn the distribution of the data. A nonlinear projection method based on a set of self-organizing maps is employed to capture this nonlinearity and to represent face in a new reduced feature space. The Multiple Self-Organized Gabor Features (MSOGF) algorithm is used to represent the input image using all winner indices from each SOM map. A new local matching algorithm based on the similarity between local features is also proposed to classify unlabeled data. Experimental results on FERET database prove that the proposed method is robust to expression variations.