Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Survival Times for Dogs with Pituitary‐Dependent Hyperadrenocorticism in a Primary‐Care Hospital: Treated with Trilostane versus Untreated

Background Although pituitary‐dependent hyperadrenocorticism (PDH) is one of the most common endocrinopathies in dogs, the effects of withholding treatment on survival time in dogs with PDH remain unclear. Hypothesis/Objectives The purpose of this study was to clarify the effects of treatment in dogs with PDH by comparing survival times between dogs treated with trilostane and untreated dogs. Animals Forty‐three dogs diagnosed with PDH at a primary‐care hospital in Japan between June 2009 and January 2014. Methods Retrospective cohort study. The medical records of dogs with PDH treated with trilostane (n = 17) or left untreated (n = 26) were reviewed retrospectively. Survival analysis at 2 years after diagnosis of PDH was performed. Results Median survival time for the trilostane group was not reached (95% confidence interval [CI], 443 days–not applicable) and was significantly longer than the 506 days (95% CI, 292–564 days; P = .016) for the untreated group. Multivariate Cox proportional hazards analysis (including age at diagnosis, basal cortisol concentration at diagnosis, and treatment group) only identified assignment to the untreated group (hazard ratio, 5.01; 95% CI, 1.63–15.44) as associated with increased mortality. Conclusions and Clinical Importance The results of this retrospective cohort study suggest that withholding treatment for dogs with PDH might be associated with a higher risk of death. This represents the largest study to date to report survival times of untreated dogs with PDH.
Stereo width control using interpolation and extrapolation of time-frequency representation

This paper presents a method to control the stereo stage width to provide additional functionality to a stereophonic sound-field recording/reproduction system that uses two microphones and two loudspeakers. The proposed method interpolates or extrapolates the time-frequency representations of the left and right stereo signals according to the desired scaling magnification. A mathematical analysis is introduced that clarifies the scaling ability of the proposed method. Listening tests using a stereo signal consisting of a mixture of two speech signals with different time-lags are performed. The results indicate that the two stereo signals yield almost the same aural impression when the scaling magnification is under two and the following two requirements are satisfied. 1) The time-lags in the stereo signal are scaled strictly before mixing. 2) The time-lags are scaled approximately by the proposed method after mixing. The listening tests also clarified the superiority of the proposed method in terms of the sound quality with respect to conventional methods
Moment inference from tomograms

Time‐lapse geophysical tomography can provide valuable qualitative insights into hydrologic transport phenomena associated with aquifer dynamics, tracer experiments, and engineered remediation. Increasingly, tomograms are used to infer the spatial and/or temporal moments of solute plumes; these moments provide quantitative information about transport processes (e.g., advection, dispersion, and rate‐limited mass transfer) and controlling parameters (e.g., permeability, dispersivity, and rate coefficients). The reliability of moments calculated from tomograms is, however, poorly understood because classic approaches to image appraisal (e.g., the model resolution matrix) are not directly applicable to moment inference. Here, we present a semi‐analytical approach to construct a moment resolution matrix based on (1) the classic model resolution matrix and (2) image reconstruction from orthogonal moments. Numerical results for radar and electrical‐resistivity imaging of solute plumes demonstrate that moment values calculated from tomograms depend strongly on plume location within the tomogram, survey geometry, regularization criteria, and measurement error.
Interpersonal trust and social stress-induced cortisol elevation

A neuroendocrine correlate of interpersonal trust is relatively unknown. We investigated the relationship between an interpersonal trust-related personality (General Trust Scale) and cortisol elevation induced by social stress in 20 men. Spearman's rank order correlation analysis revealed a significant negative correlation between social stress-induced cortisol elevation and General Trust Scale. The present results indicate subjects with higher degrees of interpersonal trust have lower levels of neuroendocrine response to social stress.
Nash strategies for pursuit-evasion differential games involving limited observations

A linear-quadratic N-pursuer single-evader differential game is considered. The evader can observe all the pursuers but pursuers have limited observations of themselves and the evader. The evader implements the conventional feedback Nash strategy and the pursuers implement Nash strategies based on a novel concept of best achievable performance indices. This problem has potential applications in situations where a well-equipped unmanned vehicle is evading several weakly equipped pursuing vehicles. An illustrative example is solved, and several scenarios are presented.
Experimental study on mechanical properties of pumpkin tissue

Purpose: The purpose of this study was to calculate mechanical properties of tough skinned vegetables as a part of Finite Element Modelling (FEM) and simulation of tissue damage during mechanical peeling of tough skinned vegetables. Design/methodology: There are some previous studies on mechanical properties of fruits and vegetables however, behaviour of tissue under different processing operations will be different. In this study indentation test was performed on Peel, Flesh and Unpeeled samples of pumpkin as a tough skinned vegetable. Additionally, the test performed in three different loading rates for peel: 1.25, 10, 20 mm/min and 20 mm/min for flesh and unpeeled samples respectively. The spherical end indenter with 8mm diameter used for the experimental tests. Samples prepare from defect free and ripped pumpkin purchased from local shops in Brisbane, Australia. Humidity and temperature were 20-55% and 20-250C respectively. Findings: Consequently, force deformation and stress and strain of samples were calculated and shown in presented figures. Relative contribution (%) of skin to different mechanical properties is computed and compared with data available from literature. According the results, peel samples had the highest value of rupture force (291N) and as well as highest value of firmness (1411Nm-1). Research limitations/implications: The proposed study focused on one type of tough skinned vegetables and one variety of pumpkin however, more tests will give better understandings of behaviours of tissue. Additionally, the behaviours of peel, unpeeled and flesh samples in different speed of loading will provide more details of tissue damages during mechanical loading. Originality/value: Mechanical properties of pumpkin tissue calculated using the results of indentation test, specifically the behaviours of peel, flesh and unpeeled samples were explored which is a new approach in Finite Element Modelling (FEM) of food processes. Keywords: Finite Element Modelling (FEM), relative contribution, firmness, toughness and rupture force.
CRL's TREC-8 Systems Cross-Lingual IR, and Q&A

This paper describes the systems used by CRL in the Cross-lingual IR and Q&A tracks. The cross-language experiment was unique in that it was run interactively with a mono-lingual user simulating how a true cross-language system might be used. The methods used in the Q&A system are based on language processing technology developed at CRL for machine translation and information extraction.
Fast Gradient Descent for Drifting Least Squares Regression, with Application to Bandits

Online learning algorithms require to often recompute least squares regression estimates of parameters. We study improving the computational complexity of such algorithms by using stochastic gradient descent (SGD) type schemes in place of classic regression solvers. We show that SGD schemes efficiently track the true solutions of the regression problems, even in the presence of a drift. This finding coupled with an $O(d)$ improvement in complexity, where $d$ is the dimension of the data, make them attractive for implementation in the \textit{big data} settings. In the case when strong convexity in the regression problem is guaranteed, we provide bounds on the error both in expectation and high probability (the latter is often needed to provide theoretical guarantees for higher level algorithms), despite the drifting least squares solution. As an example of this case we prove that the regret performance of an SGD version of the PEGE linear bandit algorithm is worse than that of PEGE itself only by a factor of $O(\log^4 n)$. When strong convexity of the regression problem cannot be guaranteed, we investigate using an adaptive regularisation. We make an empirical study of an adaptively regularised, SGD version of LinUCB in a news article recommendation application, which uses the large scale news recommendation dataset from Yahoo! front page. These experiments show a large gain in computational complexity and a consistently low tracking error.
Evading Anti-debugging Techniques with Binary Substitution

Anti-debugging technology refers to various ways of preventing binary files from being analyzed in debuggers or other virtual machine environments. If binary files conceal or modify themself using anti-debugging techniques, analyzing these binary files becomes harder. There are some anti-anti-debugging techniques proposed so far, but malware developers make dynamic analysis difficult using various ways, such as execution time delay, debugger detection techniques and so on. In this paper, we propose a Evading Antidebugging techniques method that can avoid anti-debugging techniques in binary files, and showed several samples of anti-debugging applications and how to detect and patch antidebugging techniques in common utilities or malicious code effectively.
Nigral proteasome inhibition in mice leads to motor and non-motor deficits and increased expression of Ser129 phosphorylated α-synuclein

Parkinson's disease is a neurodegenerative disorder characterized by motor and non-motor disturbances. Various pathogenic pathways drive disease progression including oxidative stress, mitochondrial dysfunction, α-synuclein aggregation and impairment of protein degradation systems. Dysfunction of the ubiquitin-proteasome system in the substantia nigra of Parkinson's disease patients is believed to be one of the causes of protein aggregation and cell death associated with this disorder. Lactacystin, a potent inhibitor of the proteasome, was previously delivered to the nigrostriatal pathway of rodents to model nigrostriatal degeneration. Although lactacystin-treated animals develop parkinsonian motor impairment, it is currently unknown whether they also develop non-motor symptoms characteristic of this disorder. In order to further describe the proteasome inhibition model of Parkinson's disease, we characterized the unilateral lactacystin model, performed by stereotaxic injection of the toxin in the substantia nigra of mice. We studied the degree of neurodegeneration and the behavioral phenotype 1 and 3 weeks after lactacystin lesion both in terms of motor impairment, as well as non-motor symptoms. We report that unilateral administration of 3 μg lactacystin to the substantia nigra of mice leads to partial (~40%) dopaminergic cell loss and concurrent striatal dopamine depletion, accompanied by increased expression of Ser129-phosphorylated α-synuclein. Behavioral characterization of the model revealed parkinsonian motor impairment, as well as signs of non-motor disturbances resembling early stage Parkinson's disease including sensitive and somatosensory deficits, anxiety-like behavior, and perseverative behavior. The consistent finding of good face validity, together with relevant construct validity, warrant a further evaluation of proteasome inhibition models of Parkinson's disease in pre-clinical research and validation of therapeutic targets.
Chopper

3D printing technology is rapidly maturing and becoming ubiquitous. One of the remaining obstacles to wide-scale adoption is that the object to be printed must fit into the working volume of the 3D printer. We propose a framework, called Chopper, to decompose a large 3D object into smaller parts so that each part fits into the printing volume. These parts can then be assembled to form the original object. We formulate a number of desirable criteria for the partition, including assemblability, having few components, unobtrusiveness of the seams, and structural soundness. Chopper optimizes these criteria and generates a partition either automatically or with user guidance. Our prototype outputs the final decomposed parts with customized connectors on the interfaces. We demonstrate the effectiveness of Chopper on a variety of non-trivial real-world objects.
Histologic and Immunohistochemical Characteristics of Failed Articular Cartilage Resurfacing Procedures for Osteochondritis of the Knee

Background The histologic appearance of the repair tissue after articular cartilage resurfacing procedures in humans is not well documented. Hypothesis The histologic and immunohistochemical appearance of the repair tissues in failed articular cartilage resurfacing procedures will be similar, regardless of the procedure that was done, and will not resemble normal articular cartilage. Study Design Case series; Level of evidence, 4. Methods Graft tissue from 10 patients who underwent an autologous chondrocyte implantation (n = 6), microfracture (n = 3), or periosteal transplantation (n = 1) procedure to treat symptomatic osteochondritis dissecans of the medial femoral condyle was processed for histologic examination after failure of the articular cartilage resurfacing procedure. Serial sections from all slabs were stained with hematoxylin and eosin and toluidine blue and were immunostained using antibodies directed against types I, II, and X collagen. Results Specimens from all 3 types of repair procedures were composed primarily of fibrous connective tissue and fibrocartilage. None of the sections stained positively for type X collagen. All 10 cases stained positively for type I collagen (range, 7%–97% of tissue area). Staining for type II collagen was positive in 4 of 6 autologous chondrocyte implantation cases, 3 of 3 microfracture cases, and the periosteal transplant case (range, 2%–65% of tissue area). In 8 of 10 cases, the percentage of the section area exhibiting positive staining for type I collagen was higher than for type II collagen (6 of 6 autologous chondrocyte implantation; 1 of 3 microfracture; 1 periosteal transplant). Conclusion The histologic appearance of the repair tissue of 3 different failed articular cartilage resurfacing procedures was similar and did not resemble normal articular cartilage.
Mesohabitat indicator species in a coastal stream of the Atlantic rainforest, Rio de Janeiro-Brazil.

The Mato Grosso is a typical Atlantic Forest stream located on the East coast of Brazil, approximately 70 km from Rio de Janeiro city. From its source at about 800m a.s. l, the stream drains a 30km2 area of the Northwestern part of the municipality of Saquarema, state of Rio de Janeiro and flows into the Saquarema Lagoon system. We hypothesized that fish species occupy distinct mesohabitats, with the prediction that their occurrences and densities differ among the microhabitats of riffles, runs and pools. A 250m-long stretch of the stream located in its uppermost part was selected for this study, where it becomes second-order. Mesohabitat description and their fish characterization were undertaken. Fish sampling was conducted by electroshocking and after their identification and counting, they were returned to the stream. For mesohabitat characterization, a Discriminant Function Analysis (DA) was applied. The total number of samples was estimated by the Zippin method and the recorded densities were used as an Indicator Species Analysis (ISA), followed by a Monte Carlo test for 1 000 permutations. The DA significantly separated the three predetermined mesohabitats (pool, riffle and run) (WL = 0.13, F = 187.70, p = 0.001). We found five species of fishes, belonging to four families and three orders. The fishes Rhamdia quelen, Phalloceros harpagos, Pimelodella lateristriga and Astyanax taeniatus are indicators of the pool environment in the Mato Grosso stream, whereas Characidium cf. vidali is an indicator of the riffle environment. The Monte Carlo test detected non-random mesohabitat use only for P. lateristriga and A. taeniatus in the pools and for Characidium cf. vidali in the riffles. We concluded that the Mato Grosso stream contains three well-defined mesohabitats, with indicator species present in two of these mesohabitats.
From Information Security Awareness to Reasoned Compliant Action

Despite the importance of information security, far too many organizations, in particular banks, are facing behavioral information security incidents. In the context given by the headquarters of a large European banking organization, this single case study investigates whether individual behavioral compliance with the information security policy is influenced by accumulated security information and information security awareness embedded within the theory of reasoned action in an extended norms approach. We collected empirical data through a three-staged process in which we conducted semi-structured interviews, implemented a survey to test the developed research hypotheses, and engaged in interactive presentations to discuss the results. In particular, the qualitative interviews strengthened internal validity of survey constructs related to neutralization techniques and internal channel use for information acquisition. We found that the attitude toward information security policy compliance, and not only social norms but also personal norms related to neutralization techniques, are all significant variables potentially mitigating the knowing-doing gap reported in related information security research. Besides emphasizing the importance of extended norms, which should be accounted for in information security awareness programs, we also highlight the use of internal and external channels to acquire information as initial drivers of awareness. The empirical findings provide implications to practice and advance theoretical development by generally supporting the developed model that accounts for compliant information security behavior at an international bank.
Hazardous chemicals produced by laser materials processing

Despite evidence to the contrary, until recently many laser operators believed, or at least stated, that the only chemical by‐products of laser processing of any consequence were water and CO2. During the last eight years, especially, several investigations have shown that hazardous materials are produced when cutting or welding nearly all substrates. In the following paper, the major chemical hazards associated with processing metals, inorganics, biomaterials, and polymers are outlined.
A Thin-Client Approach for Porting OpenGL Applications to Pocket PC ’ s

The display of a mobile device such as the pocket PC is usually small, which inspired us to explore image-based rendering as an alternative for 3D graphics on mobile devices. However, developing 3D graphics applications on mobile devices could be a very different experience from programming on personal computers, let alone using image-based rendering. Therefore we developed an application interface (API) for porting 3D graphics applications that are already written in OpenGL [6] to the Pocket PC platform. It is based on a client-server framework where the original program still runs on the PC server, and the Pocket PC acts as a thin client to interact with the end users. Image-based rendering is implemented in the client to improve the frame rates and to cope with the network delay.
Calibration and Validation of Microscopic Traffic Flow Models

Microscopic simulation models are becoming increasingly important tools in modeling transport systems. A large number of models are used in many countries. The most difficult stage in the development and use of such models is the calibration and validation of the microscopic submodels such as the car-following and gap acceptance models. This difficulty results from the lack of suitable methods for adapting models to empirical data. Recent progress has been made in calibrating a number of microscopic traffic flow models. Ten very different models have been tested with data collected via Differential Global Positioning System-equipped cars on a test track in Japan. To calibrate the models, the data of the leading car are fed into the model under consideration, and the model is used to compute the headway time series of the following car. The deviations between the measured and the simulated headways are then used to calibrate and validate the models. The calibration results agree with earlier studies as there are errors of 12% to 17% for all models, and no model can be denoted to be the best. The differences between individual drivers are larger than the differences between different models. The validation process gives acceptable errors from 17% to 22%. But for special data sets with validation errors up to 60%, the calibration process has reached what is known as "overfitting": because of the adaptation to a particular situation, the models are not capable of generalizing to other situations.
Election Verifiability: Cryptographic Definitions and an Analysis of Helios and JCJ

Abstract : Definitions of election verifiability in the computational model of cryptography are proposed. The definitions formalize notions of voters verifying their own votes, auditors verifying the tally of votes, and auditors verifying that only eligible voters vote. The Helios (Adida et al., 2009) and JCJ (Juels et al., 2010) election schemes are analyzed using these definitions. Helios 4.0 satisfies the definitions, but Helios 2.0 does not because of previously known attacks. JCJ does not satisfy the definitions because of a trust assumption it makes, but it does satisfy a weakened definition. Two previous definitions of verifiability (Juels et al., 2010; Cortier et al., 2014) are shown to permit election schemes vulnerable to attacks, whereas the new definitions prohibit those schemes.
Comparing the Iowa and Soochow Gambling Tasks in Opiate Users

The Iowa Gambling Task (IGT) is in many respects the gold standard for demonstrating decision making in drug using groups. However, it is not clear how basic task properties such as the frequency and magnitude of rewards and losses affect choice behavior in drug users and even in healthy players. In this study, we used a variant of the IGT, the Soochow Gambling Task (SGT), to observe choice behavior in opiate users and healthy decision makers in a task where reward frequency is not confounded with the long-term outcome of each alternative. In both opiate users (n = 26) and healthy controls (n = 27), we show that reward frequency strongly influences choice behavior in the IGT and SGT. Neither group showed a consistent preference across tasks for alternatives with good long-term outcomes, but rather, subjects appeared to prefer alternatives that win most frequently. We interpret this as evidence to suggest that healthy players perform better than opiate users on the IGT because they are able to utilize gain–loss frequencies to guide their choice behavior on the task. This challenges the previous notion that poorer performance on the IGT in drug users is due to an inability to be guided by future consequences.