LLukas22/scidocs huggingface dataset:
A Scan-Based Side Channel Attack on the NTRUEncrypt Cryptosystem

Scan-based Design-for-Test (DFT) is a widely deployed technique for testing hardware chips. Using this approach, all flip-flops in the design under test are connected to a scan chain where their states can be scanned out through this chain during the testing phase. Scan-based side channel attacks exploit the information obtained by analyzing the scanned data in order to retrieve secret information from cryptographic hardware devices that are designed with this testability feature. The NTRU encryption algorithm (NTRUEncrypt) is a parameterized family of lattice-based public key cryptosystems which has recently been accepted to the IEEE P1363 standards under the specifications for lattice-based public-key cryptography. In this paper, we present a scan-based side channel attack on NTRUEncrypt hardware implementations that employ scan based DFT techniques. Our attack determines the scan chain structure of the polynomial multiplication circuits used in the decryption algorithm which allows the cryptanalyst to efficiently retrieve the secret key.
On motion control design and tuning techniques

The conventional proportional, integral, derivative (PID) controller/and some common linear variations to PID, are evaluated along with recently introduced parameterized loop shaping and active disturbance rejection control (ADRC). The evaluation is made using a simulation of a nonlinear DC servomotor driven "pick & place" positioning system that includes control input saturation, power amplifier saturation, motor current limit, viscous and coulomb friction, and gear backlash. The effects of adding torque disturbance, sensor noise, mechanical resonance, and load changes are examined for the various control methods. The relative merits of these control techniques in regards ease of controller design and tuning versus performance are summarized.
Protecting the Earth is the Historical Mission of Mankind

The present state that man's subsistence environment is becoming increasingly worse,in the paper, is summarily discussed, according to the atmospheric pollution, water resources pollution and loss of water and erosion of soil et al' and appeal that people of thewhole word work hard for protection the ecrth, beautifying the environment and create theenvironment of happy living.
A guide to creative group programming in the psychiatric day hospital

Contents The Groups In Alphabetical Order * How To Use This Book * A Note About Creativity * Standard Activities * Modalities * Therapeutic Themes * Homework * Theory and Technique: The Context for Creative Groups * Theoretical Orientations * Applying Theories to Group Work: An Example * About Movie Groups * Exercises * Beginning the Day * Relapse Prevention * What Is Relapse Prevention? * Creating the Support Team * Hospitalization Review * What's in A Hospital? * Crisis Game * A Note About Skits * Crisis Skit * Goal Setting and Support * Five Day Project Creation/Review * The Mountain Exercise * Cognitive Restructuring * Shades of Gray... and More: Exploding Dichotomous Thinking * The Blue Car Syndrome * Singing in the Rain: From Adversity to Advantage * Murphy's Law Revisited * Activities of Daily Living * Cooking and Nutrition * Simulation for Activities of Daily Living * The Balancing Act * Social Skills * Soothing the Savage Beast * Impromptu Speaking * Stating Your Case * The Party * Group Artistry * Conflict Resolution Skits * What's Wrong with This Picture? * Socialization * Close Encounters * Relationship and Risk * Blind Picture * The Size of the World * The Wall * Self-Esteem * Cinderella: Journey Toward Self-Esteem * Driving Miss Daisy: Accepting Support * Rewriting Your Life * Motivation * Beyond Survival: Creating a Life Worth Living * The Perils of Oz * Portraits of Courage * I'm Looking for Yoda * Against All Odds * The Captain of the Ship * Gratitude: The Healing Ground * Awakening To Joy * Affective Issues * Nothing More Than Feelings * Mania and Joy * Self Expression Game * About Exercise * Versatility * Old Maid with a Twist * Games Made Therapeutic * Balloon Frantic: Adapting Therapeutic Games * Birthday Wall: Adapting Therapeutic Games * Making Sense of Our Senses * Ending the Day * Bibliography * Index
Improved estimates of tree-shade effects on residential energy use

Tree-shade alters building cooling and heating loads by reducing incident solar radiation. Estimates of the magnitude of this effect, and how it is in¯uenced by urban forest structure (e.g. tree size and location), are dif®cult due to the complexity inherent in tree±sun±building interactions. The objective of this paper is to present a simpli®ed method for making these estimates appropriate for neighborhood and larger scales. The method uses tabulated energy use changes for a range of tree types (e.g. size, shape) and locations around buildings (lookup tables), combined with frequency of occurrence of trees at those locations. The results are average change in energy use for each tree type that are not explicitly dependent on tree location. The method was tested by comparison to detailed simulations of 178 residences and their associated trees in Sacramento, California. Energy use changes calculated using lookup tables matched those from detailed simulations within AE10%. The method lends itself to practical evaluation of these shading effects at neighborhood or larger scales, which is important for regional assessments of tree effects on energy use, and for development of tree selection and siting recommendations for proposed energy conserving planting programs.
Requirements Engineering as a Success Factor in Software Projects

Most RE research is conceptual and concentrates on methods or techniques, primarily supporting a single activity. Moreover, the rare field studies we actually have do not establish a link between RE practices and performance. We therefore conducted this study to identify the RE practices that clearly contribute to software project success. Stakeholders and teams Stakeholders are individuals and organizations that are actively involved in a software project or whose interests the project affects. Stakeholders of any computer system can include customers, users, project managers, analysts , developers, senior management, and quality assurance staff. Table 1 illustrates the wide range of expertise and motivations that stakeholders typically exhibit. 2 A typical software project team consists of a project manager, analysts, developers, and quality assurance personnel. Often it includes users or their representatives. In the case of commercial off-the-shelf (COTS) software, marketers such as sales representatives and account managers tend to substitute for users and customers. Field study Seven field studies have reported on RE in practice. 3–9 Unfortunately, these rare studies have not established a clear link to performance and tend to focus on a narrow set of variables. Our study provides a more integrated view of RE by investigating team knowledge, allocated resources, and deployed RE processes (see Figure 1) and their contribution to project success. In addition, we incorporate the observations of previous field studies. Fifteen RE teams, including six COTS and nine customized application develop-Based on their field study of 15 requirements engineering teams, the authors identify the RE practices that clearly contribute to project success, particularly in terms of team knowledge, resource allocation, and process. D eficient requirements are the single biggest cause of software project failure. From studying several hundred organizations, Capers Jones discovered that RE is deficient in more than 75 percent of all enterprises. 1 In other words, getting requirements right might be the single most important and difficult part of a software project. Despite its importance, we know surprisingly little about the actual process of specifying software. " The RE Process " sidebar provides a basic description.
Risk versus Uncertainty in Deep Learning : Bayes , Bootstrap and the Dangers of Dropout

The “Big Data” revolution is spawning systems designed to make decisions from data. In particular, deep learning methods have emerged as the state of the art method in many important breakthroughs [18, 20, 28]. This is due to the statistical flexibility and computational scalability of large and deep neural networks which allows them to harness the information of large and rich datasets. At the same time, elementary decision theory shows that the only admissible decision rules are Bayesian [5, 30]. Colloquially, this means that any decision rule which is not Bayesian can be strictly improved (or even exploited) by some Bayesian alternative [6]. The implication of these results is clear: combine deep learning with Bayesian inference for the best decisions from data.
Data mining for customer service support

In traditional customer service support of a manufacturing environment, a customer service database usually stores two types of service information: (1) unstructured customer service reports record machine problems and its remedial actions and (2) structured data on sales, employees, and customers for day-to-day management operations. This paper investigates how to apply data mining techniques to extract knowledge from the database to support two kinds of customer service activities: decision support and machine fault diagnosis. A data mining process, based on the data mining tool DBMiner, was investigated to provide structured management data for decision support. In addition, a data mining technique that integrates neural network, case-based reasoning, and rule-based reasoning is proposed; it would search the unstructured customer service records for machine fault diagnosis. The proposed technique has been implemented to support intelligent fault diagnosis over the World Wide Web. # 2000 Elsevier Science B.V. All rights reserved.
External validation of the UKPDS risk engine in incident type 2 diabetes: a need for new type 2 diabetes-specific risk equations.

OBJECTIVE
To evaluate the performance of the UK Prospective Diabetes Study Risk Engine (UKPDS-RE) for predicting the 10-year risk of cardiovascular disease end points in an independent cohort of U.K. patients newly diagnosed with type 2 diabetes.


RESEARCH DESIGN AND METHODS
This was a retrospective cohort study using routine health care data collected between April 1998 and October 2011 from ∼350 U.K. primary care practices contributing to the Clinical Practice Research Datalink (CPRD). Participants comprised 79,966 patients aged between 35 and 85 years (388,269 person-years) with 4,984 cardiovascular events. Four outcomes were evaluated: first diagnosis of coronary heart disease (CHD), stroke, fatal CHD, and fatal stroke.


RESULTS
Accounting for censoring, the observed versus predicted 10-year event rates were as follows: CHD 6.1 vs. 16.5%, fatal CHD 1.9 vs. 10.1%, stroke 7.0 vs. 10.1%, and fatal stroke 1.7 vs. 1.6%, respectively. The UKPDS-RE showed moderate discrimination for all four outcomes, with the concordance index values ranging from 0.65 to 0.78.


CONCLUSIONS
The UKPDS stroke equations showed calibration ranging from poor to moderate; however, the CHD equations showed poor calibration and considerably overestimated CHD risk. There is a need for revised risk equations in type 2 diabetes.
On the "cracking" scheme in the paper "A directional coupler attack against the Kish key distribution system" by Gunn, Allison and Abbott

The Kish key distribution system has been proposed as a classical alternative to quantum key distribution. The idealized Kish scheme elegantly promises secure key distribution by exploiting thermal noise in a transmission line. However, it is vulnerable to nonidealities in its components, such as the finite resistance of the transmission line connecting its endpoints. We introduce a novel attack against this nonideality using a directional coupler, and experimentally demonstrate its efficacy.
Smell identification test as a treatment response marker in patients with Alzheimer disease receiving donepezil.

BACKGROUND
Olfactory dysfunction, impaired odor identification in particular, is known to occur in Alzheimer disease (AD). The entorhinal cortex and the olfactory bulb, critical areas for olfactory function, are rich in acetylcholine, the neurotransmitter implicated in AD pathology and treatment. In view of the common anatomical substrate, we aimed to determine whether performance on an olfaction test can be used as a clinical marker for monitoring the efficacy of donepezil in elderly people with AD.


METHODS
Twenty-five participants with mild to moderate AD, planned for donepezil treatment, were recruited from mental health services for older adults in this open-labeled study. Assessments before commencing donepezil included Mini-Mental State Examination, Neuropsychiatric Inventory, Bristol Activities of Daily Living, and the University of Pennsylvania Smell Identification Test. After 3 months of treatment, the primary outcome measure, the Clinician Interview Based Impression of Change plus caregiver input (CIBIC-plus), was completed, and the baseline assessments were repeated.


RESULTS
Eighteen patients continued to receive donepezil at follow-up. The CIBIC-plus outcome correlated with changes in University of Pennsylvania Smell Identification Test and Bristol Activities of Daily Living scores from the baseline (r = 0.7, P < 0.01). In addition, it was the change in smell identification function after treatment that best predicted CIBIC-plus outcome (P < 0.05) on ordinal regression analysis.


CONCLUSIONS
Smell identification function could be useful as a clinical measure to assess treatment response with donepezil in AD. This is a nonblind uncontrolled study, and the outcome indicates the need for a controlled study.
Wind Power Forecasts Using Gaussian Processes and Numerical Weather Prediction

Since wind at the earth's surface has an intrinsically complex and stochastic nature, accurate wind power forecasts are necessary for the safe and economic use of wind energy. In this paper, we investigated a combination of numeric and probabilistic models: a Gaussian process (GP) combined with a numerical weather prediction (NWP) model was applied to wind-power forecasting up to one day ahead. First, the wind-speed data from NWP was corrected by a GP, then, as there is always a defined limit on power generated in a wind turbine due to the turbine controlling strategy, wind power forecasts were realized by modeling the relationship between the corrected wind speed and power output using a censored GP. To validate the proposed approach, three real-world datasets were used for model training and testing. The empirical results were compared with several classical wind forecast models, and based on the mean absolute error (MAE), the proposed model provides around 9% to 14% improvement in forecasting accuracy compared to an artificial neural network (ANN) model, and nearly 17% improvement on a third dataset which is from a newly-built wind farm for which there is a limited amount of training data.
Development and Validation of Intracranial Thrombus Segmentation on CT Angiography in Patients with Acute Ischemic Stroke

BACKGROUND AND PURPOSE
Thrombus characterization is increasingly considered important in predicting treatment success for patients with acute ischemic stroke. The lack of intensity contrast between thrombus and surrounding tissue in CT images makes manual delineation a difficult and time consuming task. Our aim was to develop an automated method for thrombus measurement on CT angiography and validate it against manual delineation.


MATERIALS AND METHODS
Automated thrombus segmentation was achieved using image intensity and a vascular shape prior derived from the segmentation of the contralateral artery. In 53 patients with acute ischemic stroke due to proximal intracranial arterial occlusion, automated length and volume measurements were performed. Accuracy was assessed by comparison with inter-observer variation of manual delineations using intraclass correlation coefficients and Bland-Altman analyses.


RESULTS
The automated method successfully segmented the thrombus for all 53 patients. The intraclass correlation of automated and manual length and volume measurements were 0.89 and 0.84. Bland-Altman analyses yielded a bias (limits of agreement) of -0.4 (-8.8, 7.7) mm and 8 (-126, 141) mm3 for length and volume, respectively. This was comparable to the best interobserver agreement, with an intraclass correlation coefficients of 0.90 and 0.85 and a bias (limits of agreement) of -0.1 (-11.2, 10.9) mm and -17 (-216, 185) mm3.


CONCLUSIONS
The method facilitates automated thrombus segmentation for accurate length and volume measurements, is relatively fast and requires minimal user input, while being insensitive to high hematocrit levels and vascular calcifications. Furthermore, it has the potential to assess thrombus characteristics of low-density thrombi.
Research on reconfigurable robot technology for cable maintenance of cable-stayed bridges in-service

In this paper, according to the technical characteristics of the maintenance of cable of cable-stayed bridges, a new robot for cable maintenance is developed. The climbing equipment, the surface inspection equipment and the internal defects inspection equipment, the cleaning equipment, the spraying equipment for cable maintenance are all designed as reconfigurable module. According to different cable diameters, different numbers of robot modules are reconstructed to form corresponding maintenance robot. The magnetic mechanisms that are used in the climbing equipment of robot keep the robot cling to the cable. The robot can climb cable along by wheels which installed on it. The robot has many advantages, such as simple structure, easy manipulative, fast moving, the less damage to the cable and the good adaptability to the shape of the cable.
Nondystrophic myotonia: Challenges and future directions

Non-dystrophic myotonias are rare diseases caused by mutations in skeletal muscle chloride and sodium ion channels with considerable phenotypic overlap between diseases. Common symptoms include muscle stiffness, transitory weakness, fatigue, and pain. Although seldom life-shortening, these myotonias cause life-time disability and affected individuals cannot perform many daily activities. A notable feature of the recessive form of chloride channelopathies is the presence of transient weakness. While there has been considerable progress in skeletal muscle channelopathies with regards to identifying biophysical abnormalities, the mechanism of transient weakness remains unclear. A recent study published in Experimental Neurology (Desaphy et al., 2013) explored this question further by comparing the biophysical properties of 3 chloride channel mutations associated with recessive myotonia congenita, with varying susceptibility to transient weakness. The authors identified a variety of functional defects in channel behavior among the 3 mutations, suggesting that this variability contributes to the differing phenotypes among chloride channelopathies. This commentary discusses nondystrophic myotonias, the results of Desaphy et al., and the treatment challenges in this rare disease.
Reduction of ischemic sequelae following spontaneous subarachnoid hemorrhage: a double-blind, randomized comparison of enoxaparin versus placebo

BACKGROUND
Cerebral vasospasm, including its ischemic sequelae, remains a leading cause of death and disability following subarachnoid hemorrhage (SAH). This study was designed to evaluate whether the low-molecular-weight heparin (LMWH) enoxaparin reduces the occurrence of cerebral vasospasm and ischemia following spontaneous SAH.


METHODS
A prospective, double-blind, randomized study was conducted in 120 consecutive patients with SAH (Hunt Hess Scale (HHS) I-III). Patients received one subcutaneous injection per day of either 20mg enoxaparin or placebo for 3 weeks following SAH. Efficacy endpoints were the occurrence of cerebral vasospasm, delayed ischemic deficit (DID), cerebral infarction, and overall outcome at 1 year following SAH.


RESULTS
At 1-year follow-up, enoxaparin significantly reduced DID and cerebral infarction. Delayed ischemic deficit occurred in 8.8% of the enoxaparin group versus 66.7% of the placebo group (P<0.001), while 3.5% of vasospasm-related cerebral infarctions occurred in enoxaparin-treated patients and 28.3% in placebo-treated patients (P<0.001). Severe shunt-dependent hydrocephalus was significantly lower in the enoxaparin group (1.8% versus 16.7%; P=0.019). Compared with the placebo group, the enoxaparin group had fewer intracranial bleeding events and better overall outcomes at 1-year follow-up. Although there was potential bias as a result of patients in the placebo group being more severely affected (in terms of HHS), treatment with enoxaparin for 3 weeks improved long-term outcome following SAH.


CONCLUSIONS
Enoxaparin is safe and effective in reducing cerebral vasospasm and ischemia following SAH (Hunt Hess grades I-III), resulting in a better long-term outcome for the patient.
Blood pressure goal achievement with olmesartan medoxomil-based treatment: additional analysis of the OLMEBEST study

AIMS
Guidelines recommend blood pressure (BP) in hypertensive patients should be <140 systolic BP (SBP) and <90 diastolic BP (DBP) mmHg. This analysis assessed goal rate achievement in hypertensive patients receiving olmesartan-based treatment in the OLMEBEST study.


METHODS
Patients with essential hypertension (DBP > or = 90 mmHg and <110 mmHg) received open-label olmesartan medoxomil 20 mg/day (n = 2306). After 8 weeks, patients with DBP > or = 90 mmHg (n = 627) were randomized to 4 weeks' double-blind treatment with olmesartan 40 mg/day monotherapy or olmesartan 20 mg/day plus hydrochlorothiazide (HCTZ) 12.5 mg/day. For this analysis, the numbers and proportions of patients who achieved SBP < 140 mmHg and/or DBP < 90 mmHg at the end of the 4 weeks were calculated.


RESULTS
In patients who achieved DBP normalization (<90 mmHg) at week 8 (n = 1546) and continued open-label olmesartan 20 mg/day, 66.7% achieved SBP/DBP < 140/90 mmHg at Week 12. In patients who did not achieve DBP normalization at Week 8, 26.8% of those randomized to olmesartan 40 mg/day and 42.5% of those randomized to olmesartan 20 mg/day plus HCTZ 12.5 mg/day achieved a SBP/DBP < 140/90 mmHg at Week 12.


CONCLUSION
Olmesartan 40 mg/day and olmesartan 20 mg/day plus HCTZ 12.5 mg/day allow substantial proportions of patients to achieve BP goals.
d-Separation: From Theorems to Algorithms

An efficient algorithm is developed that identifies all independencies implied by the topology of a Baye­ sian network. Its correctness and maximality stems from the soundness and completeness of d­ separation with respect to probability theory. The al­ gorithm runs in time 0 (IE I ) where E is the number of edges in the network.