LLukas22/scidocs huggingface dataset:
Improving Ship Stability in Automated Stowage Planning for Large Containerships

Stowage planning for container vessels concerns the core competence of the shipping lines. As such, automated stowage planning has attracted much research in the past two decades, but with few documented successes. In an ongoing project, we are developing a prototype stowage planning system aiming for large containerships. The system consists of three modules: the stowage plan generator, the stability adjustment module, and the optimization engine. This paper mainly focuses on the stability adjustment module. The objective of the stability adjustment module is to check the global ship stability of the stowage plan produced by the stowage plan generator and resolve the stability issues by applying a heuristic algorithm to search for alternative feasible locations for containers that violate some of the stability criteria. We demonstrate that the procedure proposed is capable of solving the stability problems for a large containership with more than 5000 TEUs. Keywords— Automation, Stowage Planning, Local Search, Heuristic algorithm, Stability Optimization
A Survey of Current YouTube Video Characteristics

Given the impact of YouTube on Internet services and social networks, a healthy quantity of research has been conducted over the past few years. The majority of studies on traffic capture and evaluation were carried out prior to Google's acquisition of YouTube in 2007. Since then, there have been some changes made to the user policy and service infrastructure, including limits placed on video duration, file size, and resolution. This article depicts the latest YouTube traffic profiles and delivers updated and valuable information for future researchers. To obtain a detailed understanding of YouTube video characteristics, a customized Web spider was employed to crawl over a million YouTube videos. The study demonstrates consistency with previous research for major video streams while revealing that new categories of features have emerged within the YouTube service provision. Compared with traditional video repositories, YouTube exhibits many unique characteristics that could introduce novel challenges and opportunities for optimizing the performance of short video-sharing services.
Smallest control invariant set and error boundaries of FCS-MPC for PMSM

This paper studies the steady-state behavior of Finite Control Set (FCS) Model Predictive Control (MPC) for permanent-magnet synchronous machine (PMSM). The control actuation is formulated as a trajectory tracking problem in the αβ stator flux space. The concept of set stability and Control Invariant Set (CIS) is used to determine the smallest possible current, i.e. flux ripple. The best achievable steady state region of the control error is proposed and validated, revealing the maximum switching performance of FCS-MPC. The upper bound of the control error is achieved by constructing a CIS with respect to any reference defined on the equilibrium operating points. The proposed analysis has direct applications since it can be used to predict and optimize the current ripple in real time. Another application is the variation of the sampling frequency to achieve maximum ripple requirements at minimum switching losses.
Harmonic and reactive power compensation with shunt active power filter under non-ideal mains voltage

This paper presents a new control algorithm for an active power filter (APF) to compensate harmonic and reactive power of a 3-phase thyristor bridge rectifier under non-ideal mains voltage scenarios. Sensing load current, dc bus voltage and source voltages compute reference currents of the APF. APF driving signals are produced with these signals via a hysteresis band current controller. Matlab/simulink power system toolbox is used to simulate the proposed system. The proposed method’s performance is compared with conventional instantaneous p proposed a e increased p onstrated. ©
Evaluation of a Practice-Based Intervention to Improve the Management of Pediatric Asthma

Pediatric asthma remains a significant burden upon patients, families, and the healthcare system. Despite the availability of evidence-based best practice asthma management guidelines for over a decade, published studies suggest that many primary care physicians do not follow them. This article describes the Provider Quality Improvement (PQI) intervention with six diverse community-based practices. A pediatrician and a nurse practitioner conducted the yearlong intervention, which was part of a larger CDC-funded project, using problem-based learning within an academic detailing model. Process and outcome assessments included (1) pre- and post-intervention chart reviews to assess eight indicators of quality care, (2) post-intervention staff questionnaires to assess contact with the intervention team and awareness of practice changes, and (3) individual semi-structured interviews with physician and nurse champions in five of the six practices. The chart review indicated that all six practices met predefined performance improvement criteria for at least four of eight indicators of quality care, with two practices meeting improvement criteria for all eight indicators. The response rate for the staff questionnaires was high (72%) and generally consistent across practices, demonstrating high staff awareness of the intervention team, the practice “asthma champions,” and changes in practice patterns. In the semi-structured interviews, several respondents attributed the intervention’s acceptability and success to the expertise of the PQI team and expressed the belief that sustaining changes would be critically dependent on continued contact with the team. Despite significant limitations, this study demonstrated that interventions that are responsive to individual practice cultures can successfully change practice patterns.
Quantifying the Bullwhip Effect in a Simple Supply Chain : The Impact of Forecasting , Lead Times , and Information

Frank Chen • Zvi Drezner • Jennifer K. Ryan • David Simchi-Levi Decision Sciences Department, National University of Singapore, 119260 Singapore Department of MS & IS, California State University, Fullerton, California 92834 School of Industrial Engineering, Purdue University, West Lafayette, Indiana 47907 Department of IE & MS, Northwestern University, Evanston, Illinois 60208 fbachen@nus.edu.sg • drezner@exchange.fullerton.edu • jkryan@ecn.purdue.edu • levi@iems.nwu.edu
Small-group problem-based learning as a complex adaptive system

Small-group problem-based learning (PBL) is widely embraced as a method of study in health professions schools and at many different levels of education. Complexity science provides a differe t lens with which to view and understand the application of this method. It presents new concepts and vocabulary that may be unfamiliar to practitioners of small-group PBL and other educational methods. This article looks at small-group PBL from the perspective of complex adaptive systems (CAS). It begins with a brief review of the current understanding and practice of PBL. Next some of the characteristics of CAS are reviewed using examples from small-group PBL to illustrate how these characteristics are expressed in that context. The principles and the educational theory in which small-group PBL are embedded are related to CAS. Implications for health professions education are discussed. r 2006 Elsevier Ltd. All rights reserved.
LCL DC/DC Converter for DC Grids

This paper proposes an LCL dc-dc converter concept which is capable of achieving very high stepping ratios with megawatt-level power transfers. The converter can find potential application in connecting high-power dc sources to high-voltage dc transmission including future dc transmission networks. This converter is based on two ac/dc insulated-gate bipolar transistor-based converters and an internal passive LCL circuit without internal ac transformers. The LCL circuit is designed to enable voltage stepping without any reactive power circulation and with potentially soft switching operation which minimizes the switching losses. The designed converter has the ability to achieve current regulation even under extreme external dc faults and, therefore, the converter can operate through dc faults. The switch utilization is better than similar topologies and losses are reasonably low. A dual-active-bridge transformer-based converter design is presented to compare with the proposed LCL converter. A detailed PSCAD model confirms conclusions using a 100-MW 20-kV/300 kV test system. An LCL 200-W 20-V/100-V dc/dc prototype converter is built to validate the proposed topology.
Fine-Grained Product Class Recognition for Assisted Shopping

Assistive solutions for a better shopping experience can improve the quality of life of people, in particular also of visually impaired shoppers. We present a system that visually recognizes the fine-grained product classes of items on a shopping list, in shelves images taken with a smartphone in a grocery store. Our system consists of three components: (a) We automatically recognize useful text on product packaging, e.g., product name and brand, and build a mapping of words to product classes based on the large-scale GroceryProducts dataset. When the user populates the shopping list, we automatically infer the product class of each entered word. (b) We perform fine-grained product class recognition when the user is facing a shelf. We discover discriminative patches on product packaging to differentiate between visually similar product classes and to increase the robustness against continuous changes in product design. (c) We continuously improve the recognition accuracy through active learning. Our experiments show the robustness of the proposed method against cross-domain challenges, and the scalability to an increasing number of products with minimal re-training.
On the Origins of Adaptive Behavioral Complexity : Developmental Channeling of Structural Trade-offs

1. Developmental Perspective on the Evolution of Behavioral Strategies: Approach 1 2. Evidence of Ontogenetic Behavioral Linkages and Dependencies 3 2.1 Early Developmental Origins of Behavioral Variation 3 2.2 Trade-offs in Neural Processes and Personality 5 2.3 Maintenance of Variation in Behavioral Expression Along Trade-off Axes 8 3. Developmental Origins of Behavioral Variation 10 3.1 Design Principles of the Brain and Mechanisms Underlying Neural Tradeoffs 10 3.2 Developmental Channeling: Mechanism for Separating Individuals Along Trade-off Axes 12 4. Applying the Concept of Developmental Channeling: Dispersal Strategies as an Example 17 4.1 Evolution of Dispersal Strategies 17 4.2 Maternally Induced Dispersal Behavior 21 5. Conclusion and Future Directions 25 Acknowledgments 27 References 27
Psychopathic predators? Getting specific about the relation between psychopathy and violence.

OBJECTIVE
The psychopathy checklist-revised (PCL-R; Hare, 1991, 2003) is often used to assess risk of violence, perhaps based on the assumption that it captures emotionally detached individuals who are driven to prey upon others. This study is designed to assess the relation between (a) core interpersonal and affective traits of psychopathy and impulsive antisociality on the one hand and (b) the risk of future violence and patterns of motivation for past violence on the other.


METHOD
A research team reliably assessed a sample of 158 male offenders for psychopathy, using both the interview-based PCL-R and the self-report psychopathic personality inventory (PPI: Lilienfeld & Andrews, 1996). Then, a second independent research team assessed offenders' lifetime patterns of violence and their motivation. After these baseline assessments, offenders were followed in prison or the community for up to 1 year to assess their involvement in 3 different forms of violence. Baseline and follow-up assessments included both interviews and reviews of official records.


RESULTS
First, the PPI manifested incremental validity in predicting future violence over the PCL-R (but not vice versa)-and most of its predictive power derived solely from impulsive antisociality. Second, impulsive antisociality-not interpersonal and affective traits specific to psychopathy-were uniquely associated with instrumental lifetime patterns of past violence. The latter psychopathic traits are narrowly associated with deficits in motivation for violence (e.g., lack of fear or lack of provocation).


CONCLUSIONS
These findings and their consistency with some past research led us to advise against making broad generalizations about the relation between psychopathy and violence.
An ontology-based approach to Chinese semantic advertising

In the web advertising domain, contextual advertising and sponsored search are two of the main advertising channels used to display related advertisements on web pages. A major challenge for contextual advertising is to match advertisements and web pages based on their semantics. When a web page and its semantically related advertisements contain many different words, the performance of the traditional methods can be very poor. In particular, there are few studies presented for Chinese contextual advertising that are based on semantics. To address these issues, we propose an ontology-based approach to Chinese semantic advertising. We utilize an ontology called the Taobao Ontology and populate it by automatically adding related phrases as instances. The ontology is used to match web pages and advertisements on a conceptual level. Based on the Taobao Ontology, the proposed method exploits seven distance functions to measure the similarities between concepts and web pages or advertisements. Then, the similarities between web pages and advertisements are calculated by considering the ontology-based similarities as well as term-based similarities. The empirical experiments indicate that our method is able to match Chinese web pages and advertisements with a relatively high accuracy. Among the seven distance functions, Cosine distance and Tanimoto distance show the best performance in terms of precision, recall, and F-measure. In addition, our method outperforms two contextual advertising methods, i.e., the impedance coupling method and the SVMbased method. 2012 Elsevier Inc. All rights reserved.
Human Gait Recognition and Classification Using Time Series Shapelets

Human gait is the main activity of daily life. Gait can be used for applications like human identification (in medical field etc). Since gait can be perceived from a distance it can be used for human identification. Gait recognition means identifying the person with his/her gait. Human identification using gait can be used in surveillance. A method is proposed for gait recognition using a technique which uses time series shapelets. First, for a gait video a preprocessing is done to extract the silhouette images from the video. From these silhouette images features like joint angle and swing distance are extracted which can be represented as the time series data. From this time series data, time series shapelets are extracted. Shapelets are subsequence of time series data which can discriminate between classes. Shapelets are maximally representative of the class. These time series shapelets can be used to identify human by their gait. Shapelets can also be used for classification. After extracting the shapelets, the prediction is done using the decision tree. In that it can be used for classifying normal and abnormal human gait.
Watch Their Moves: Applying Probabilistic Multiple Object Tracking to Autonomous Robot Soccer

In many autonomous robot applications robots must be capable of estimating the positions and motions of moving objects in their environments. In this paper, we apply probabilistic multiple object tracking to estimating the positions of opponent players in autonomous robot soccer. We extend an existing tracking algorithm to handle multiple mobile sensors with uncertain positions, discuss the specification of probabilistic models needed by the algorithm, and describe the required vision-interpretation algorithms. The multiple object tracking has been successfully applied throughout the RoboCup 2001 world championship.
Early alliance, alliance ruptures, and symptom change in a nonrandomized trial of cognitive therapy for avoidant and obsessive-compulsive personality disorders.

Participants were 30 adult outpatients diagnosed with avoidant personality disorder or obsessive-compulsive personality disorder who enrolled in an open trial of cognitive therapy for personality disorders. Treatment consisted of up to 52 weekly sessions. Symptom evaluations were conducted at intake, at Sessions 17 and 34, and at the last session. Alliance variables were patients' first alliance rating and "rupture-repair" episodes, which are disruptions in the therapeutic relationship that can provide corrective experiences and facilitate change. Stronger early alliances and rupture-repair episodes predicted more improvement in symptoms of personality disorder and depression. This work points to potentially important areas to target in treatment development for these personality disorders.
Code and data files for "Owning Capital or being Shareholders: an equivalence result with Incomplete Markets"

Many recent papers in macroeconomics have studied the implications of models with household heterogeneity and incomplete financial markets under the assumption that households own the stock of physical capital and undertake the intertemporal investment decisions. In these models, production exhibits constant returns to scale, households maximize expected discounted utility, and firms rent capital and labor from households to maximize period by period profits. This paper considers the case in which infinitely lived firms, rather than households, make the intertemporal investment decisions. Under this assumption, it shows that there exists an objective function for firms that results in the same equilibrium allocation as in the standard setting with one period lived firms. The objective requires that firms maximize their asset value, which is defined as the discounted value of future cash flows using present value processes that do not allow for arbitrage opportunities. (Copyright: Elsevier)
Feasibility and efficacy of simultaneous integrated boost intensity-modulated radiation therapy in patients with limited-disease small cell lung cancer

PURPOSE
To evaluate the feasibility and efficacy of simultaneous integrated boost intensity-modulated radiation therapy (SIB-IMRT) in patients with limited-disease small-cell lung cancer (LD-SCLC).


METHODS
Patients with LD-SCLC were treated with SIB-IMRT within 1 week after completion of 2 cycles of induction chemotherapy. Then 2-4 cycles of adjuvant chemotherapy were administered within 1 week after SIB-IMRT. Irradiation was given accelerated hyper-fractionated with the prescribed dose 57Gy at 1.9Gy twice daily to the gross tumor volume (GTV) , 51Gy at 1.7Gy twice daily to the clinical tumor volume (CTV) and 45Gy at 1.5Gy twice daily to the planning target volume (PTV). The chemotherapy regimen consisted of platinum plus etoposide. Prophylactic cranial radiation (25Gy in 10 fractions) was administered to patients who got complete response (CR) or near complete response (nCR). The primary endpoint of this study was the frequency of grade 3 or higher acute non-hematologic treatment-related toxicities. Secondary end points included objective response, overall survival (OS), progression-free survival (PFS), locoregional recurrence-free survival (LRFS).


RESULTS
A cohort of 35 patients were enrolled in the study, the biological equivalent dose (BED) of the GTV in the SIB-IMRT was 59.16Gy. Grade 1, 2, and 3 esophagitis were observed in 11 (31%), 12 (34%), and 6 (17%) patients, respectively; Grade 1 and 2 pneumonitis were observed in 8 (23%) and 4 (11%) patients, respectively. The median OS and PFS of the whole group were 37.7 months and 29.3 months, respectively. The 1- and 2-year OS was 94.1% and 68.5%, respectively. The 1- and 2-year PFS was 76.8% and 40.7%, respectively. The 1- and 2-year LRFS was 87.7% and 73.8%, respectively.


CONCLUSIONS
SIB-IMRT was feasible and well-tolerated in patients with LD-SCLC, and worth further evaluating in a large prospective clinical trial.
A review of recent advances in risk analysis for wildfire management

Risk analysis evolved out of the need tomake decisions concerning highly stochastic events, and is well suited to analyse the timing, location and potential effects of wildfires. Over the past 10 years, the application of risk analysis to wildland firemanagement has seen steady growthwith new risk-based analytical tools that support a wide range of fire and fuels management planning scales from individual incidents to national, strategic interagency programs. After a brief review of the three components of fire risk – likelihood, intensity and effects – this paper reviews recent advances in quantifying and integrating these individual components of fire risk. We also review recent advances in addressing temporal dynamics of fire risk and spatial optimisation of fuels management activities. Risk analysis approaches have become increasingly quantitative and sophisticated but remain quite disparate. We suggest several necessary and fruitful directions for future research and development in wildfire risk analysis. Additional keywords: burn probability, fire likelihood, hazard, risk assessment, risk science. Received 11 August 2011, accepted 29 June 2012, published online 14 September 2012
Circulating adiponectin and resistin levels in relation to metabolic factors, inflammatory markers, and vascular reactivity in diabetic patients and subjects at risk for diabetes.

OBJECTIVE
Adiponectin and resistin, two recently discovered adipocyte-secreted hormones, may link obesity with insulin resistance and/or metabolic and cardiovascular risk factors. We performed a cross-sectional study to investigate the association of adiponectin and resistin with inflammatory markers, hyperlipidemia, and vascular reactivity and an interventional study to investigate whether atorvastatin mediates its beneficial effects by altering adiponectin or resistin levels.


RESEARCH DESIGN AND METHODS
Associations among vascular reactivity, inflammatory markers, resistin, and adiponectin were assessed cross-sectionally using fasting blood samples obtained from 77 subjects who had diabetes or were at high risk to develop diabetes. The effect of atorvastatin on adiponectin and resistin levels was investigated in a 12-week-long randomized, double-blind, placebo-controlled study.


RESULTS
In the cross-sectional study, we confirm prior positive correlations of adiponectin with HDL and negative correlations with BMI, triglycerides, C-reactive protein (CRP), and plasma activator inhibitor (PAI)-1 and report a negative correlation with tissue plasminogen activator. The positive association with HDL and the negative association with PAI-1 remained significant after adjusting for sex and BMI. We also confirm prior findings of a negative correlation of resistin with HDL and report for the first time a positive correlation with CRP. All of these associations remained significant after adjusting for sex and BMI. No associations of adiponectin or resistin with any aspects of vascular reactivity were detected. In the interventional study, atorvastatin decreased lipid and CRP levels, but adiponectin and resistin were not specifically altered.


CONCLUSIONS
We conclude that adiponectin is significantly associated with inflammatory markers, in part, through an underlying association with obesity, whereas resistin's associations with inflammatory markers appear to be independent of BMI. Lipid profile and inflammatory marker changes produced by atorvastatin cannot be attributed to changes of either adiponectin or resistin.