Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of histamine H1 and H2 receptor antagonists, microinjected into cerebellar vermis, on emotional memory consolidation in mice

This study investigated the effects of histamine H1 or H2 receptor antagonists on emotional memory consolidation in mice submitted to the elevated plus maze (EPM). The cerebellar vermis of male mice (Swiss albino) was implanted using a cannula guide. Three days after recovery, behavioral tests were performed in the EPM on 2 consecutive days (T1 and T2). Immediately after exposure to the EPM (T1), animals received a microinjection of saline (SAL) or the H1 antagonist chlorpheniramine (CPA; 0.016, 0.052, or 0.16 nmol/0.1 µL) in Experiment 1, and SAL or the H2 antagonist ranitidine (RA; 0.57, 2.85, or 5.7 nmol/0.1 µL) in Experiment 2. Twenty-four hours later, mice were reexposed to the EPM (T2) under the same experimental conditions but they did not receive any injection. Data were analyzed using one-way ANOVA and the Duncan test. In Experiment 1, mice microinjected with SAL and with CPA entered the open arms less often (%OAE) and spent less time in the open arms (%OAT) in T2, and there was no difference among groups. The results of Experiment 2 demonstrated that the values of %OAE and %OAT in T2 were lower compared to T1 for the groups that were microinjected with SAL and 2.85 nmol/0.1 µL RA. However, when animals were microinjected with 5.7 nmol/0.1 µL RA, they did not show a reduction in %OAE and %OAT. These results demonstrate that CPA did not affect behavior at the doses used in this study, while 5.7 nmol/0.1 µL RA induced impairment of memory consolidation in the EPM.
Methods for decreasing the number of objective evaluations for independent computationally expensive objective problems

In this paper, three new methods for pushing solutions toward a desired region of the objective space more quickly are explored; hypercube distance scaling, dynamic objective thresholding, and hypercube distance objective ordering. These methods are applicable for problems that do not require the entire Pareto front and that require an independent computationally expensive computation for each objective. The performance of these methods is evaluated with the multiple objective 0/1 knapsack problem.
DIRECT: DNA-mutation Inventory to Refine and Enhance Cancer Treatment-A catalogue of clinically relevant somatic mutations in lung cancer.

7575 Background: The treatment of patients with NSCLC in the 21st century has evolved into a complicated algorithm, requiring knowledge of an individual patient's mutation status prior to initiating therapy. Making mastery of knowledge even more complicated, alterations within a single gene, such as that encoded by the epidermal growth factor receptor (EGFR), can be associated with primary drug sensitivity or resistance, or secondary resistance. Other rarer EGFR mutations are of less clear significance. METHODS We conducted a systematic review of the literature and identified all papers reporting on patients with EGFR mutations. No restrictions were placed on the papers identified provided individual patient data were presented. We recorded demographic data including age, ethnicity, smoking status, EGFR mutation, therapy administered (chemo, TKI), response and survival. General linear modeling was used to assess association between mutation, therapy and response. RESULTS We reviewed > 1,000 papers and identified 115 papers containing data on 1152individual patients. 91% adenocarcinoma, 62% never smokers, 92% stage IV. 154 different mutations identified: 48% exon 19 deletion, 27% L858R, 3% G719X, 1% L861Q and 21% other. 74% patients had first line EGFR TKI. Compared to patients with del19, patients there was no significant difference in response to EGFR TKI for patients with L858R or L861Q mutation while patients with G719X and other mutations had a significantly worse outcome when treated with EGFR TKIs. CONCLUSIONS This DIRECT database is the start of a larger catalogue of clinically relevant somatic mutations in lung cancer that we are creating to aid physicians within the clinic in their selection of therapies for patients with various mutations and lung cancer. While this project has started with patients with known EGFR mutations, we are expanding the program to incorporate all known mutations with potential clinical significance. We encourage others to contribute data as they emerge. We plan to make this database amenable to query to further enable a genetically-informed approach in the treatment of lung cancer.
Authority and Anarchy in a Museum Exhibition

Who does not know Turner's picture of the Golden Bough? The scene, suffused with the golden glow of the imagination in which the divine mmd of Turner steeped and transfigured even the fairest natural landscape, is a dreamlike vision of the little woodland lake of Nemi—Diana's Mirror, as it was called by the ancients. (Frazer, 1957: 1)
Rumpole: An Introspective Break-Glass Access Control Language

Access control policies define what resources can be accessed by which subjects and under which conditions. It is, however, often not possible to anticipate all subjects that should be permitted access and the conditions under which they should be permitted. For example, predicting and correctly encoding all emergency and exceptional situations is impractical. Traditional access control models simply deny all requests that are not permitted, and in doing so may cause unpredictable and unacceptable consequences. To overcome this issue, break-glass access control models permit a subject to override an access control denial if he accepts a set of obligatory actions and certain override conditions are met. Existing break-glass models are limited in how the override decision is specified. They either grant overrides for a predefined set of exceptional situations, or they grant unlimited overrides to selected subjects, and as such, they suffer from the difficulty of correctly encoding and predicting all override situations and permissions. To address this, we develop Rumpole, a novel break-glass language that explicitly represents and infers knowledge gaps and knowledge conflicts about the subject's attributes and the contextual conditions, such as emergencies. For example, a Rumpole policy can distinguish whether or not it is known that an emergency holds. This leads to a more informed decision for an override request, whereas current break-glass languages simply assume that there is no emergency if the evidence for it is missing. To formally define Rumpole, we construct a novel many-valued logic programming language called Beagle. It has a simple syntax similar to that of Datalog, and its semantics is an extension of Fitting's bilattice-based semantics for logic programs. Beagle is a knowledge non-monotonic langauge, and as such, is strictly more expressive than current many-valued logic programming languages.
Antioxidative and Antimutagenic Activities of 70% Ethanolic Extracts from Four Fungal Mycelia-Fermented Specialty Rices

The health-promoting potential of 70% ethanolic extracts of 4 rice varieties fermented with Monascus ruber, Phellinus linteus, Cordyceps sinensis and Agaricus blazei was evaluated mainly focusing on their antioxidative and antimutagenic capacities based on the following parameters: phenolic compound and phytic acid content; inhibitory activity on lipid peroxidation; scavenging activity on DPPH radical; suppressing ability on mitomycin C-induced mutagenesis in E. coli cells; and protective effect on 4-nitroquinoline oxide-triggered DNA lesion in V79 hamster cells. The fermented rice extracts were superior in overall health-promoting parameters compared to the source material. The higher antimutagenic activity of the fermented rice extracts might be in part caused by a larger amount of antioxidant constituents such as phenolic compounds or phytic acid. Of the fungal species, Monascus ruber was found to impart a marked increase in both the antioxidative and antimutagenic abilities to the source material. The current study suggests a possibility that such fermented rice may contribute to the prevention of lifestyle-related diseases such as cancer through a daily intake of rice-based diets.
The Transition between Stochastic and Deterministic Behavior in an Excitable Gene Circuit

We explore the connection between a stochastic simulation model and an ordinary differential equations (ODEs) model of the dynamics of an excitable gene circuit that exhibits noise-induced oscillations. Near a bifurcation point in the ODE model, the stochastic simulation model yields behavior dramatically different from that predicted by the ODE model. We analyze how that behavior depends on the gene copy number and find very slow convergence to the large number limit near the bifurcation point. The implications for understanding the dynamics of gene circuits and other birth-death dynamical systems with small numbers of constituents are discussed.
How to Design Patterns in IS Research – A State-of-the-Art Analysis

Patterns are becoming increasingly prominent in the field of Information Systems (IS). They contain good practice solutions to recurring problems and are therefore especially valuable for systems development. Although a huge amount of patterns for nearly every problem in systems development (and even in many fields of IS such as enterprise information management or security) exist, literature still misses a systemized overview on how such patterns are developed. Approaches in practice exist but are either methodologically imprecise or lack a scientific foundation. This contribution is devoted to review the state-of-the-art on how patterns are designed. The findings of our systematic literature review reveal approaches for pattern development which we consolidate, structure and critically reflect. Since we argue that patterns can be considered design artifacts, we apply a design science research (DSR) lens to these approaches, highlight potential gaps and show needs for future development in theory and practice.
The Weight of the Sword of Damocles: A Reconviction Analysis of Suspended Sentences in Tasmania

Abstract Suspended sentences are a widely used but controversial sentencing disposition. This article presents reconviction rates for all sentences imposed over a 2-year period in the Tasmanian Supreme Court, as well as examining different outcomes on the basis of key sentencing variables, including offence type and prior record. The results demonstrate that suspended sentences have comparatively low reconviction rates. The study examines the relative frequency and seriousness of offending, thereby overcoming a common criticism of reconviction studies that they are an ‘all-or-nothing’ measure, which does not take into account changes in offending patterns. The study also avoids the common error of misattributing reconviction rates to incidences of offending that occurred prior to the imposition of the relevant sentence by excluding pseudoreconvictions, and the findings indicate the extent to which pseudoreconvictions can skew reconviction results. In addition, the use of suspended sentences in combination with other orders, and the reconviction outcomes of such sentences, is analysed. The article concludes with a discussion of the implications of my findings for the further use of suspended sentences, and for future research.
GraphCache: A Caching System for Graph Queries

Graph datasets and NoSQL graph databases are becoming increasingly popular for a large variety of applications, de- pendent on modelling entities and their relationships and interactions. In such systems, graph queries are essential for graph analytics. However, they can be very time-consuming, as graph query processing entails the subgraph isomorphism problem, which is NP-Complete. In general, caching sys- tems constitute a key component in software systems, in- cluding database systems, where they play a key role in ex- pediting query processing. In this context, we put forth GraphCache, the �rst caching system for graph query pro- cessing. We report on the design issues and goals that GraphCache must meet, its overall system architecture and implementation, coupled with novel cache replacement and admission control policies. We also report on results from extensive performance evaluations which showcase and quan- tify its bene�ts and overheads, highlighting lessons learned. GraphCache can be used as a front end, complementing any graph query processing method, which is viewed as a pluggable component. The design and implementation of GraphCache started in mid 2014 and in its current imple- mentation it can signi�cantly improve the performance of methods from di�erent categories of graph-query processing research { including �lter-then-verify (FTV) methods and direct subgraph-isomorphism (SI) algorithms, and across workloads and datasets of di�erent characteristics. Cur- rently, GraphCache comprises more than 6,000 lines of Java code, excluding the pluggable FTV/SI query-processing al- gorithms. It is available bundled with 3 top-performing FTV methods and 3 top-performing SI algorithms.
Digital Control of Single-Inductor Multiple-Output Step-Down DC–DC Converters in CCM

This paper investigates the application of digital control for non-isolated single-inductor multiple-output step-down dc-dc converters operating in continuous-conduction mode. The accurate and independent control of each output requires a sophisticated digital control architecture so as to minimize the cross-regulation problem. The adopted control includes a separate regulation for common-mode and differential-mode output voltages. Due to the differential-mode control loop dependence on the load current, a variable-gain functional block has been investigated; this provision keeps the differential-mode loop gain constant under different load conditions. Moreover, a nonlinear evaluation of the common-mode voltage has been investigated in order to improve the system dynamic response to asymmetrical load changes. Even if aimed at an integrated solution, experimental verifications have been performed using discrete components, implementing the digital control in a field-programmable gate array. Simulation results on a three-output converter and experimental results on dual-output converter (Vin = 2.5 4divide5 V, Vo1 = Vo2 = 0.9divide1.5 V, and Ioperp = Io2 = 0 4divide0.6 A) confirm the proposed analysis.
Improved Bounds for the Union of Locally Fat Objects in the Plane

We show that, for any $\gamma > 0$, the combinatorial complexity of the union of $n$ locally $\gamma$-fat objects of constant complexity in the plane is $\frac{n}{\gamma^4} 2^{O(\log^*n)}$. For the special case of $\gamma$-fat triangles, the bound improves to $O(n \log^*{n} + \frac{n}{\gamma}\log^2{\frac{1}{\gamma}})$.
Elective delivery in diabetic pregnant women.

BACKGROUND In pregnancies complicated by diabetes the major concerns during the third trimester are fetal distress and the potential for birth trauma associated with fetal macrosomia. OBJECTIVES The objective of this review was to assess the effect of a policy of elective delivery, as compared to expectant management, in term diabetic pregnant women, on maternal and perinatal mortality and morbidity. SEARCH STRATEGY We searched the Cochrane Pregnancy and Childbirth Group trials register and the Cochrane Controlled Trials Register (last searched February 2001). SELECTION CRITERIA All available randomized controlled trials of elective delivery, either by induction of labour or by elective caesarean section, compared to expectant management in diabetic pregnant women at term. DATA COLLECTION AND ANALYSIS The reports of the only available trial were analysed independently by the three co-reviewers to retrieve data on maternal and perinatal outcomes. Results are expressed as relative risks (RR) and 95% confidence intervals (CI). MAIN RESULTS The participants in the one trial included in this review were 200 insulin-requiring diabetic women. Most had gestational diabetes, except 13 women with type 2 pre-existing diabetes (class B). The trial compared a policy of active induction of labour at 38 completed weeks of pregnancy, to expectant management until 42 weeks. The risk of caesarean section was not statistically different between groups (relative risk (RR) 0.81, 95% confidence interval (CI) 0.52 - 1.26). The risk of macrosomia was reduced in the active induction group (RR 0.56, 95% CI 0.32 - 0.98) and three cases of mild shoulder dystocia were reported in the expectant management group. No other perinatal morbidity was reported. REVIEWER'S CONCLUSIONS There is very little evidence to support either elective delivery or expectant management at term in pregnant women with insulin-requiring diabetes. Limited data from a single randomized controlled trial suggest that induction of labour in women with gestational diabetes treated with insulin reduces the risk of macrosomia. Although the small sample size does not permit one to draw conclusions, the risk of maternal or neonatal morbidity was not modified. Women's views on elective delivery and on prolonged surveillance and treatment with insulin should be assessed in future trials.
Power Supply Droop and Its Impacts on Structural At-Speed Testing

Scan based at-speed testing has become mandatory in industry to detect delay defects today in order to maintain test quality and reduce test cost. However, the effects of power supply droop during test application often introduce timing uncertainty, such as clock stretch and additional gate delay. It leads to false failure and test escape during test and makes the application of the at-speed scan testing become a challenge task to screen out delay defects successfully. In this paper, we review existing studies about the power supply droop and the methods to reduce its impact on at-speed scan testing.
LDPC block and convolutional codes based on circulant matrices

A class of algebraically structured quasi-cyclic (QC) low-density parity-check (LDPC) codes and their convolutional counterparts is presented. The QC codes are described by sparse parity-check matrices comprised of blocks of circulant matrices. The sparse parity-check representation allows for practical graph-based iterative message-passing decoding. Based on the algebraic structure, bounds on the girth and minimum distance of the codes are found, and several possible encoding techniques are described. The performance of the QC LDPC block codes compares favorably with that of randomly constructed LDPC codes for short to moderate block lengths. The performance of the LDPC convolutional codes is superior to that of the QC codes on which they are based; this performance is the limiting performance obtained by increasing the circulant size of the base QC code. Finally, a continuous decoding procedure for the LDPC convolutional codes is described.
Enhanced traceability in model-based CASE tools using ontologies and information retrieval

Model-based CASE tools provide mechanisms to capture and store heterogeneous artifacts produced during the software development process. These tools incorporate a meta-model describing artifact types and traceability links. Although model-based CASE tools provide required means to create and link different artifact types, still the process of linking artifacts is primarily manual resulting in missing or broken traceability links. This paper proposes a novel approach to create and utilize a project-specific ontology derived from the textual and structural information available in the development artifacts to assist the traceability link creation process. We discuss the benefits and challenges of incorporating the proposed approach in a model-based CASE tool.
Tapprints: your finger taps have fingerprints

This paper shows that the location of screen taps on modern smartphones and tablets can be identified from accelerometer and gyroscope readings. Our findings have serious implications, as we demonstrate that an attacker can launch a background process on commodity smartphones and tablets, and silently monitor the user's inputs, such as keyboard presses and icon taps. While precise tap detection is nontrivial, requiring machine learning algorithms to identify fingerprints of closely spaced keys, sensitive sensors on modern devices aid the process. We present TapPrints, a framework for inferring the location of taps on mobile device touch-screens using motion sensor data combined with machine learning analysis. By running tests on two different off-the-shelf smartphones and a tablet computer we show that identifying tap locations on the screen and inferring English letters could be done with up to 90% and 80% accuracy, respectively. By optimizing the core tap detection capability with additional information, such as contextual priors, we are able to further magnify the core threat.
Structured Streaming Skeleton -- A New Feature for Online Human Gesture Recognition

Online human gesture recognition has a wide range of applications in computer vision, especially in human-computer interaction applications. The recent introduction of cost-effective depth cameras brings a new trend of research on body-movement gesture recognition. However, there are two major challenges: (i) how to continuously detect gestures from unsegmented streams, and (ii) how to differentiate different styles of the same gesture from other types of gestures. In this article, we solve these two problems with a new effective and efficient feature extraction method—Structured Streaming Skeleton (SSS)—which uses a dynamic matching approach to construct a feature vector for each frame. Our comprehensive experiments on MSRC-12 Kinect Gesture, Huawei/3DLife-2013, and MSR-Action3D datasets have demonstrated superior performances than the state-of-the-art approaches. We also demonstrate model selection based on the proposed SSS feature, where the classifier of squared loss regression with l2,1 norm regularization is a recommended classifier for best performance.
Stability of CSF β-Amyloid1–42 and Tau Levels by APOE Genotype in Alzheimer Patients

Background: Cerebrospinal fluid (CSF) measures of β-amyloid1–42 and tau differ between patients with Alzheimer’s Disease (AD) and elderly normal controls. The effect of time and APOE genotype on these biomarkers continues to be elucidated. Methods: We assessed CSF β-amyloid1–42 and tau in 20 mild-to-moderate AD patients, 11 APOE Ε4+ and 9 APOE Ε4–, over a mean time of 3.8 years (range 1–11.1 years). Results: Over the period measured, CSF β-amyloid1–42 levels were lower in APOE Ε4+ compared to APOE Ε4– patients, and the levels decreased over time. Tau levels were stable over time and did not show an effect of APOE allele. Conclusions: While this is a limited clinical sample, the further decrease in CSF β-amyloid1–42 (i.e., more abnormal) combined with the CSF tau stability over a mean period of almost 4 years suggests that β-amyloid1–42 and tau maintain their potential usefulness as diagnostic biomarkers over time. These findings should be taken into account if CSF β-amyloid1–42 and tau are used as measures of treatment response.
Primary structures of the wild-type and mutant alleles encoding the phosphatidylglycerophosphate synthase of Escherichia coli

The nucleotide sequence of the Escherichia coli pgsA gene, encoding phosphatidylglycerophosphate synthase, is revised to code for an enzyme of 182 amino acid residues, instead of the 216 of a previous work (A. S. Gopalakrishnan, Y.-C. Chen, M. Temkin, and W. Dowhan, J. Biol. Chem. 261:1329-1338, 1986). The revised structure now explains the properties of the enzyme. Three pgsA mutants of different phenotypes were also analyzed: pgsA3, pgsA36, and pgsA10 have single-base replacements in codons 60 (Thr-->Pro), 1 (ATG-->ATA), and 92 (Thr-->Ile), respectively.