Miracle-dz/UniFAR-FTUs huggingface dataset:
Production, Manufacturing and Logistics Modelling and computing (R n ,S n ) policies for inventory systems with non-stationary stochastic demand

This paper addresses the single-item, non-stationary stochastic demand inventory control problem under the nonstationary (R, S) policy. In non-stationary (R, S) policies two sets of control parameters—the review intervals, which are not necessarily equal, and the order-up-to-levels for replenishment periods—are fixed at the beginning of the planning horizon to minimize the expected total cost. It is assumed that the total cost is comprised of fixed ordering costs and proportional direct item, inventory holding and shortage costs. With the common assumption that the actual demand per period is a normally distributed random variable about some forecast value, a certainty equivalent mixed integer linear programming model is developed for computing policy parameters. The model is obtained by means of a piecewise linear approximation to the non-linear terms in the cost function. Numerical examples are provided. � 2005 Elsevier B.V. All rights reserved.
From Data to Human Behaviour

The main goal of the paper is to present how the data-driven approach to social network analysis enables various applications of knowledge about human behaviour. Three main illustrative application domains are pointed out and briefly analysed: social recommender systems in online multimedia publishing services, assessment of organisational structures in companies and social group evolution in blogosphere. Selected relevant models and methods like multi-layered (multidimensional) social networks, structural measures aggregation or change detection in groups are exposed as useful research approaches.
Comparative Advantage Volume 2 @bullet Issue 1 Stanford's Undergraduate Economics Journal 2

The purpose of this paper is to outline potential reasons why the 2013 election vote into the Baseball Hall of Game failed to elect a new player. The paper compares various voting rules, and analyzes specific statistics of players. Natalie Weinberg University of Pennsylvania nweinb@sas.upenn. edu 2013 Baseball Hall of Fame
Learning Objects in Different Pedagogical Paradigms.

Based on the review of several pedagogical paradigms, this paper attempts to (i) clarify the concepts of learning resources and learning objects, (ii) propose a way forward in the use of learning resources in different pedagogical paradigms in a large scale collaborative environment, and (iii) expose characteristics required in different learning objects to match the requirements of different pedagogical paradigms.
The Digital Divide and Its Impact on Academic Performance

The purpose of this article is to explore issues of the digital divide and its impact on academic performance. Research shows that proper use of technology by students increases their academic performance outcomes. In the literature review section, the authors review articles and theories based on Bennett’s (2001) societal equity framework. The findings show that students’ academic performance is a function of many complex and interrelating factors. Although technology use is linked to socio-economic status and academic performance, educators should try to identify whether the cause of low or high academic achievement directly results from technology use, and how technology usage interacts with and affects other factors. In addition, socio-economic status may affect one’s future career opportunities. Implications for future research and practice are also discussed in this article.
Meet me in the library

This paper discusses the topic of social interaction in the field of information-seeking. With our design of the “search tokens”, we suggest a new hardware setting and a novel tangible and multi-touch based user interface to support users in their informationseeking process and enabling co-located, collaborative knowledge work. We showcase our design with a scenario of a media library, presenting movies as information objects on a zoomable information
A Novel Thylakoid Ascorbate Peroxidase from Jatrophacurcas Enhances Salt Tolerance in Transgenic Tobacco

Ascorbate peroxidase (APX) plays an important role in the metabolism of hydrogen peroxide in higher plants. In the present study, a novel APX gene (JctAPX) was cloned from Jatropha curcas L. The deduced amino acid sequence was similar to that of APX of some other plant species. JctAPX has a chloroplast transit peptide and was localized to the chloroplasts by analysis with a JctAPX-green fluorescent protein (GFP) fusion protein. Quantitative polymerase chain reaction (qPCR) analysis showed that JctAPX was constitutively expressed in different tissues from J. curcas and was upregulated by NaCl stress. To characterize its function in salt tolerance, the construct p35S: JctAPX was created and successfully introduced into tobacco by Agrobacterium-mediated transformation. Compared with wild type (WT), the transgenic plants exhibited no morphological abnormalities in the no-stress condition. However, under 200 mM NaCl treatment, JctAPX over-expressing plants showed increased tolerance to salt during seedling establishment and growth. In addition, the transgenic lines showed higher chlorophyll content and APX activity, which resulted in lower H2O2 content than WT when subjected to 400 mM NaCl stress. These results suggest that the increased APX activity in the chloroplasts from transformed plants increased salt tolerance by enhancing reactive oxygen species (ROS)-scavenging capacity under short-term NaCl stress conditions.
A three-dimensional displaced phase center antenna condition for clutter cancellation

In moving radar, e.g. airborne radar, the clutter from land and sea needs to be suppressed in order to detect the target. One approach to total cancellation of the clutter is Displaced Phase Center Antenna (DPCA). DPCA assumes that the antenna elements are positioned on a line parallel to the velocity vector of the radar platform so that the elements can take each others positions at different points of times. This paper theoretically investigates if it is possible with other antenna element positions, e.g. in three dimensions, for a total cancellation of the clutter. We arrive at a condition which conforms to the principle that the elements should take each others positions at different times but allows other antennas than the single line parallel to the velocity vector. Our condition could be used as constraints in an optimization problem where the target signal performance is optimized. The multipulse DPCA condition is one solution to our condition.We also give two examples of non-linear antennas fulfilling our condition.
Label-Free Fluorescent Detection of Trypsin Activity Based on DNA-Stabilized Silver Nanocluster-Peptide Conjugates

Trypsin is important during the regulation of pancreatic exocrine function. The detection of trypsin activity is currently limited because of the need for the substrate to be labeled with a fluorescent tag. A label-free fluorescent method has been developed to monitor trypsin activity. The designed peptide probe consists of six arginine molecules and a cysteine terminus and can be conjugated to DNA-stabilized silver nanoclusters (DNA-AgNCs) by Ag-S bonding to enhance fluorescence. The peptide probe can also be adsorbed to the surface of graphene oxide (GO), thus resulting in the fluorescence quenching of DNA-AgNCs-peptide conjugate because of Förster resonance energy transfer. Once trypsin had degraded the peptide probe into amino acid residues, the DNA-AgNCs were released from the surface of GO, and the enhanced fluorescence of DNA-AgNCs was restored. Trypsin can be determined with a linear range of 0.0–50.0 ng/mL with a concentration as low as 1 ng/mL. This label-free method is simple and sensitive and has been successfully used for the determination of trypsin in serum. The method can also be modified to detect other proteases.
A theoretically optimal probabilistic classifier using class-specific features

We present a new approach to the design of probabilistic classifiers. Rather than working with a common high-dimensional feature vector the classifier is written in terms of separate feature vectors chosen specifically for each class and their low-dimensional PDFs. While sufficiency is not a requirement, if the feature vectors are sufficient to distinguish the corresponding class from a common (null) hypothesis, the method is equivalent to the maximum a posteriori probability classifier. The method has applications to speech, image, and general pattern recognition problems.
Clinical Factors Associated with Long-Term Complete Remission versus Poor Response to Chemotherapy in HIV-Infected Children and Adolescents with Kaposi Sarcoma Receiving Bleomycin and Vincristine: A Retrospective Observational Study

Kaposi sarcoma (KS) is the most common HIV-associated malignancy in children and adolescents in Africa. Pediatric KS is distinct from adult disease. We evaluated the clinical characteristics associated with long-term outcomes. We performed a retrospective observational analysis of 70 HIV-infected children and adolescents with KS less than 18 years of age diagnosed between 8/2010 and 6/2013 in Lilongwe, Malawi. Local first-line treatment included bleomycin and vincristine plus nevirapine-based highly active anti-retroviral therapy (HAART). Median age was 8.6 years (range 1.7–17.9); there were 35 females (50%). Most common sites of presentation were: lymph node (74%), skin (59%), subcutaneous nodules (33%), oral (27%), woody edema (24%), and visceral (16%). Eighteen (26%) presented with lymphadenopathy only. Severe CD4 suppression occurred in 28%. At time of KS diagnosis, 49% were already on HAART. Overall, 28% presented with a platelet count < 100 x 109/L and 37% with hemoglobin < 8 g/dL. The 2-year event-free (EFS) and overall survival (OS) were 46% and 58% respectively (median follow-up 29 months, range 15–50). Multivariable analysis of risk of death and failure to achieve EFS demonstrated that visceral disease (odds ratios [OR] 19.08 and 11.61, 95% CI 2.22–163.90 and 1.60–83.95 respectively) and presenting with more than 20 skin/oral lesions (OR 9.57 and 22.90, 95% CI 1.01–90.99 and 1.00–524.13 respectively) were independent risk factors for both. Woody edema was associated with failure to achieve EFS (OR 7.80, 95% CI 1.84–33.08) but not death. Univariable analysis revealed that lymph node involvement was favorable for EFS (OR 0.28, 95% CI 0.08–0.99), while T1 TIS staging criteria, presence of cytopenias, and severe immune suppression were not associated with increased mortality. Long-term complete remission is achievable in pediatric KS, however outcomes vary according to clinical presentation. Based on clinical heterogeneity, treatment according to risk-stratification is necessary to improve overall outcomes.
The Effect of Preprocessing to the Complexity of List Sphere Detector Algorithms

A list sphere detector (LSD) is an enhancement of a sphere detector (SD) that can be used to approximate the soft output MAP detector used in the detection of the multiple-input multiple-output (MIMO) signals. The LSD algorithm executes a tree search on the given lattice and returns a candidate list. The LSD algorithm complexity, i.e., the number of visited nodes in the search tree, can be decreased by applying proper ordering of the transmitted spatial streams in the detection. In this paper, we study the effect of two sophisticated preprocessing methods, the channel matrix column ordering based on Euclidean norm and the sorted QR decomposition (SQRD), to the performance and complexity of the LSD algorithms and compare them to the traditional QR decomposition (QRD). We show that the SQRD preprocessing is a simple way to decrease complexity of the LSD and it decreases the number of visited nodes approximately 20 i 30% compared to the QRD which results in significant number of saved arithmetic operations in the LSD. We also show that the plain channel matrix column ordering is not feasible preprocessing method to be used with LSD in highly correlated channel realization.
A Software Infrastructure for Wearable Sensor Networks

In ubiquitous computing environments, context-awareness is one of the most important research topics. Computers embedded in our surrounding can extract information about a user, and the information makes it possible to offer personalized services according to the user's preference. To extract a large amount of context information, wearable sensor devices become more important in the near future. However, it is not easy to develop context-aware services that use context information from wearable sensor devices because of the gap between low-level sensor information and high-level context that the services require. In this paper, we propose a software infrastructure for wearable sensor networks. We first discuss the requirements to retrieve context information from wearable sensor networks. Then, we introduce our software infrastructure named Cinnamon that extracts high-level context from low-level context information retrieved from wearable sensor networks. The software infrastructure makes it dramatically easy to develop context-aware services for wearable sensor networks. We present the design and implementation of Cinnamon, and discuss our current prototype implementation
The role of and connection between systematization and representation when young children work on a combinatorial task

ABSTRACT This article is about the systematization and representation young children spontaneously use when they are working on a combinatorial task. In this article, documentations from 123 children working on the same task are analysed. The question asked is if there are any connections between the systematizations and representations used in the documentations and how the children solve the task. The results indicate that there are some connections between systematization and representations and that both prepossess children’s solutions. In this paper, we provide some possible reasons; however, we also state that more studies are needed to give deeper insights on these issues.
Routing Optimization Model in Multihop Wireless Access Networks for Disaster Recovery

On-the-fly establishment of multihop wireless access networks (OEMAN) is a new wireless communication approach to quickly establish temporary Internet connectivity in a disaster region. OEMAN creates virtual access points on mobile devices of disaster victims to reach still-alive access points of the Internet so that rescuers can be informed about their status and position. The simple routing strategy in OEMAN is based on a tree like topology raising some traffic load balancing issues at nodes closed to the root. In this paper, we propose a linear program for overload-aware routing. Moreover, we consider wireless interference and integrate it into our routing optimization model. Our evaluations implemented in Matlab show that the overload-aware routing improves load balancing among available virtual access points in OEMAN. By avoiding nodes with heavy load in the network, our solution improves network throughput compared to overload-unaware routing.
Narrative stability in interview accounts

ABSTRACT We identify and discuss the phenomenon of narrative stability, in the context of current methodological literature on interviewing. It derives from two independent studies, undertaken fifteen years apart, of members of the same genetics research group who were interviewed by different researchers. The first (‘Discovery’) interviews were collected very soon after the breakthrough was first published. The second (‘Legacy’) interviews were based on informants looking back at those events. Some strikingly similar narrative episodes across those accounts suggest strong narrative stability. In the course of interviews, informants reproduce biographical stories that are well sedimented. Not all interview materials, therefore, should be thought of exclusively in terms of co-production between interviewer and informant.
LigPlot+: Multiple Ligand-Protein Interaction Diagrams for Drug Discovery

We describe a graphical system for automatically generating multiple 2D diagrams of ligand-protein interactions from 3D coordinates. The diagrams portray the hydrogen-bond interaction patterns and hydrophobic contacts between the ligand(s) and the main-chain or side-chain elements of the protein. The system is able to plot, in the same orientation, related sets of ligand-protein interactions. This facilitates popular research tasks, such as analyzing a series of small molecules binding to the same protein target, a single ligand binding to homologous proteins, or the completely general case where both protein and ligand change.
Modeling Internet Traffic: Performance Limits

Traffic modeling is an important tool for performance evaluation of networks. Over the last decade traffic characterization studies revealed the presence of different types of correlations in Internet traffic. In this paper we present traffic modeling methodology by aggregates of bytes using the M/G/infin process for capturing traffic correlations. We use recent traffic traces to construct M/G/infin traffic models, and we evaluate the generated traffic both statistically and by simulation in network environment. We show limitations of bytes aggregates models, and we conclude by propositions to obtain more accurate models
Crowdsourcing micro-level multimedia annotations: the challenges of evaluation and interface

This paper presents a new evaluation procedure and tool for crowdsourcing micro-level multimedia annotations and shows that such annotations can achieve a quality comparable to that of expert annotations. We propose a new evaluation procedure, called MM-Eval (Micro-level Multimedia Evaluation), which compares fine time-aligned annotations using Krippendorff's alpha metric and introduce two new metrics to evaluate the types of disagreement between coders. We also introduce OCTAB (Online Crowdsourcing Tool for Annotations of Behaviors), a web-based annotation tool that allows precise and convenient multimedia behavior annotations, directly from Amazon Mechanical Turk interface. With an experiment using the above tool and evaluation procedure, we show that a majority vote among annotations from 3 crowdsource workers leads to a quality comparable to that of local expert annotations.
Algorithm for JPEG artifact reduction via local edge regeneration

Abstract. Transform coding using the discrete cosine transform is one of the most popular techniques for image and video compression. However, at low bit rates, the coded images suffer from severe visual distortions. An innovative approach is proposed that deals with artifacts in JPEG compressed images. Our algorithm addresses all three types of artifacts which are prevalent in JPEG images: blocking, and for edges blurring, and aliasing. We enhance the quality of the image via two stages. First, we remove blocking artifacts via boundary smoothing and guided filtering. Then, we reduce blurring and aliasing around the edges via a local edge-regeneration stage. We compared the proposed algorithm with other modern JPEG artifact-removal algorithms. The results demonstrate that the proposed approach is competitive, and can in many cases outperform, competing algorithms.
An online learning algorithm with adaptive forgetting factors for feedforward neural networks in financial time series forecasting

In this study, an online learning algorithm for feedforward neural networks (FNN) based on the optimized learning rate and adaptive forgetting factor is proposed for online financial time series prediction. The new learning algorithm is developed for online predictions in terms of the gradient descent technique, and can speed up the FNN learning process substantially relative to the standard FNN algorithm, with simultaneous preservation of stability of the learning process. In order to verify the effectiveness and efficiency of the proposed online learning algorithm, two typical financial time series are chosen as testing targets for illustration purposes.
When sistahs support sistahs: A process of supportive communication about racial microaggressions among Black women

ABSTRACT This study extends a rich line of research on racial microaggressions (Sue, 2010) by examining the way friendship networks of Black women communicate support to a targeted individual. Groups of Black women friends (n = 52) engaged in supportive discussions about racial microaggressions by white women perpetrators, and a research team of Black women inductively analyzed the supportive encounters. The findings indicated that groups engaged in a two-phase process of supportive communication that began with Individual Orientation, which describes person-centered messages that solely supported a target, and continued to Collective Orientation, which describes group-centered discussions about the prevalence and effects of racial injustice on all Black women. Three co-occurring sub-themes emerged in Collective Orientation: Hostile Differentiation, Socio-political Contextualization, and Collective Uplift. Humor and Laughter were important in both phases. Generational dynamics were also considered in this study, but few differences emerged. Implications and directions for future research are discussed.
Induced Pluripotent Stem Cells Derived from Alzheimer’s Disease Patients: The Promise, the Hope and the Path Ahead

The future hope of generated induced pluripotent stem cells (iPS cells) from Alzheimer’s disease patients is multifold. Firstly, they may help to uncover novel mechanisms of the disease, which could lead to the development of new and unprecedented drugs for patients and secondly, they could also be directly used for screening and testing of potential new compounds for drug discovery. In addition, in the case of familial known mutations, these cells could be targeted by use of advanced gene-editing techniques to correct the mutation and be used for future cell transplantation therapies. This review summarizes the work so far in regards to production and characterization of iPS cell lines from both sporadic and familial Alzheimer’s patients and from other iPS cell lines that may help to model the disease. It provides a detailed comparison between published reports and states the present hurdles we face with this new technology. The promise of new gene-editing techniques and accelerated aging models also aim to move this field further by providing better control cell lines for comparisons and potentially better phenotypes, respectively.