Miracle-dz/UniFAR-FTUs huggingface dataset:
Car talk: Gender-specific observer communication at the Kansas state fair nostalgic car show

The Kansas State Fair (KSF) Nostalgic Car Show provides an environment where both male and female observers can showcase their communication style. The focus of this research was designed to address the research question: "What are the gender differences or similarities in communication among observers at the Nostalgic Car Show? " Grounded theory (2) and Boyatzis' method of thematic analysis (3) were used to yield insights into the similarities or differences in communication among male and female observers at the car show. Findings indicated that male initiated communication is more technical and female initiated communication is more aesthetically based. The data implies that context is not an important factor in influencing gender and communication style. However, females and males at the KSF Nostalgic Car Show communicated in stereotypical manners consistent with research on general
Research on Rule Extraction Technology Based on Genetic Algorithm in Intrusion Detection

It is necessary to establish the rule base before intrusion detection. An adaptive method based on genetic algorithms was presented for learning the intrusion detection rules in order to realize the automation of attack rule generation. The genetic algorithm is employed to derive a set of classification rules from network audit data, and the support-confidence framework is utilized as fitness function to judge the quality of each rule. The generated rules are then used to detect or classify network intrusions in a real-time environment.
Application of chloroplast genome to resolve the taxonomy and phylogenetic relationships of invasive dioecious weeds in Amaranthus (Amaranthaceae)

Backgroud: Amaranthus palmeri, A. tuberculatus and A. arenicola are alien invasive dioecious amaranths originated from North America which have similar morphology and complex taxonomic relationship with their relatives. To search for effective molecular methods and accurate species boundary for detecting the alien invasive species, we sequenced whole chloroplast genome of 6 amaranths species, of which A. palmeri , A. arenicola , A. retroflexus and A. dubius are the first reports.Results: The complete chloroplast genome of 6 species has a circular molecular structure of 150,454 to 150,939 bp in length with 36.6% of GC content and contains a total of 134 genes, including 89 protein-coding genes, 37 tRNA genes, and 8 rRNA genes. There are a total of 802 parsimony-informative (PI) sites within genes and intergenic spacers. The rpl22-rps19 , ndhG-I , rpl 32- trnLUAG , trnPUGG-psaJ and ccsA - ndhD are the hotspots in the genus. And the 1,601 bp fragment from rpl32 to psaC has contained maximum variants with 82 PI sites. A. arenicola differs from A. tuberculatus with 19 PI sites located in 14 genes and spacers separately. The regions for differentiate A. dubius , A. hypochondriacus and A. caudatus of the Hybrid complex only fasten on 2 coding genes and 5 intergenic spacers. The patristic distances (0.00001-0.00005) among the three species are approximate to the distance (0.00005) between individuals of A. tuberculatus . Conformed to dioecious and monoecious distinctions but different with previous phylogenetic studies, A. palmeri clustered with A. arenicola and A. tuberculatus and formed a stable clade of subgen. Acnida . Conclusion: The chloroplast genome has played a role in offering enough information for discrimination and phylogenetic relationship among the Amaranthus subgen. Acnida . The most valuable regions of chloroplast genome in Amaranthus are intergenic spacers and could differentiate A. arenicola from A. tuberculatus better. Subsequently, much more Amaranthus species should be sequenced and analyzed complementally in the future.
Performance analysis of metallic carbon nanotubes as nanotechnology circuit interconnects

Carbon nanotubes (CNTs) have emerged as a potential nanoelectronic material that can replace traditional copper as the material for very large scale integrated circuits (VLSI) interconnects.In this article, we have quantified the performance expected out of CNTs‐based interconnect systems based on realistic characterization of their Tomonaga Luttinger theory‐based transmission line model. We have presented performance estimates for bus systems consisted of single‐walled nanotubes and crystalline bundles of CNTs. Results indicate that the bundles offer at leasta 10 times performance advantage over isolated nanotubes. However, this is at the expense of larger signal damping associated with them. Published 2011 Wiley Periodicals, Inc. Microwave Opt Technol Lett 53:2505–2508, 2011; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26314
ANALYSIS OF CURVED FOLDED PLATE STRUCTURES

A finite strip method of analysis is presented which can be used to analyze curved folded plate structures simply supported at the two ends and composed of elements that may in general be segments of conical frustra. The method is based on a harmonic analysis in the circumferential direction, with the loadings expressed by Fourier series, and on a finite element stiffness analysis in the transverse direction. The direct stiffness method is used to assemble the structure stiffness matrix and to determine displacements and element stresses. A description of a general computer program developed for the analysis and the results of several examples are also given.
Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications

From the Publisher: "If you are looking for a complete treatment of business intelligence, then go no further than this book. Larissa T. Moss and Shaku Atre have covered all the bases in a cohesive and logical order, making it easy for the reader to follow their line of thought. From early design to ETL to physical database design, the book ties together all the components of business intelligence. " --Bill Inmon, Inmon Enterprises Business Intelligence Roadmap is a visual guide to developing an effective business intelligence (BI) decision-support application. This book outlines a methodology that takes into account the complexity of developing applications in an integrated BI environment. The authors walk readers through every step of the process--from strategic planning to the selection of new technologies and the evaluation of application releases. The book also serves as a single-source guide to the best practices of BI projects. Part I steers readers through the six stages of a BI project: justification, planning, business analysis, design, construction, and deployment. Each chapter describes one of sixteen development steps and the major activities, deliverables, roles, and responsibilities. All technical material is clearly expressed in tables, graphs, and diagrams. Part II provides five matrices that serve as references for the development process charted in Part I. Management tools, such as graphs illustrating the timing and coordination of activities, are included throughout the book. The authors conclude by crystallizing their many years of experience in a list of dos, don'ts, tips, and rules of thumb. The accompanying CD-ROMincludes a complete, customizable work breakdown structure. Both the book and the methodology it describes are designed to adapt to the specific needs of individual stakeholders and organizations. The book directs business representatives, business sponsors, project managers, and technicians to the chapters that address their distinct responsibilities. The framework of the book allows organizations to begin at any step and enables projects to be scheduled and managed in a variety of ways. Business Intelligence Roadmap is a clear and comprehensive guide to negotiating the complexities inherent in the development of valuable business intelligence decision-support applications. 0201784203B02112003
Tajik Depression and Greater Pamir Neotectonics From InSAR Rate Maps

Using E‐W and vertical deformation‐rate maps derived from radar interferometric time‐series, we analyze the deformation field of an entire orogenic segment, that is, the Tajik depression and its adjoining mountain belts, Tian Shan, Pamir, and Hindu Kush. The data‐base consists of 900+ radar scenes acquired over 2.0–4.5 years and global navigation satellite system measurements. The recent, supra‐regional kinematics is visualized in an unprecedented spatio‐temporal resolution. We confirm the westward collapse of the Pamir‐Plateau crust, inverting the Tajik basin into a fold‐thrust belt (FTB) with shortening rates decaying westward from ∼15 to 2 mm/yr. Vertical rates in the Hindu Kush likely record slab‐dynamic effects, that is, the progressive break‐off of the Hindu Kush slab. At least 10 mm/yr of each, uplift and westward motion occur along the western edge of the Pamir Plateau, outlining the crustal‐scale ramp along which the Pamir Plateau overrides the Tajik depression. The latter shows a combination of basin‐scale tectonics, halokinesis, and seasonal/weather‐driven near‐surface effects. Abrupt ∼6 mm/yr horizontal‐rate changes occur across the kinematically linked dextral Ilyak strike‐slip fault, bounding the Tajik FTB to the north, and the Babatag backthrust, the major thrust of the FTB, located far west in the belt. The sharp rate decay across the Ilyak fault indicates a locking depth of ≤1 km. The Hoja Mumin salt fountain is spreading laterally at ≤350 mm/yr. On the first‐order, the modern 20–5 and fossil (since ∼12 Ma) 12–8 mm/yr shortening rates across the FTB correspond.
Effects of the aging-related loss in lower extremity strength on the feasible region for balance recovery

approved: __________________________________________________________________ Michael J. Pavol A backward fall is a major cause of hip fractures. Hip fractures have the potential to increase the mortality rate of older adults. Thus, the prevention of backward falls by older adults is a critical subject to be studied. Specifically, it remains unknown what effect aging-related losses in muscle strength have on the ability to recover balance by stepping following a backward loss of balance. There were two specific aims in this study. The first aim was to develop two-dimensional musculoskeletal models of young and older adults. The second aim was to quantify the effects of the normal aging-related loss in lower extremity strength on the ability to recover balance following a backward step from a backward balance loss by describing the feasible regions of balance recovery. Two-dimensional musculotendon models of young and older adults were developed and used in a six-link model to simulate backward balance recovery of young and older adults. The feasible regions for young and older adults were described for two combinations of initial backward and downward velocities: 15% body height/s (Bh/s) (condition 1) and 30% Bh/s (condition 2). For condition 1, older adults showed a 25% foot length (fl) more posterior forward boundary at a hip height of 50% Bh and a 12.2% fl more anterior rear boundary at 47.5% Bh than young adults. For condition 2, older adults showed a 6.4% fl more posterior forward boundary at 48.5% Bh and a 12.8% fl more anterior rear boundary at 47.5% Bh than young adults. The feasible regions for young and older adults showed similar ranges of hip height in conditions 1 and 2. The results suggest that older adults are less able than young adults to regain balance after a very short or very long backward step from a backward loss of balance. Thus, the aging-related loss in muscle strength could impair the ability to recover balance during the stance phase after a backward recovery step. However, if a medium step is taken, older adults can show the same ability to recover balance as young adults. ©Copyright by Norio Kadono June 3, 2009 All Rights Reserved Effects of the Aging-Related Loss in Lower Extremity Strength on the Feasible Region for Balance Recovery
A dopant-free spirobi[cyclopenta[2,1-b:3,4-b′]dithiophene] based hole-transport material for efficient perovskite solar cells

We present the design and synthesis of a promising hole transporting material (HTM) using the 4,4′-spirobi[cyclopenta[2,1-b:3,4-b′]dithiophene] derivative (spiro-CPDT) as the core and triarylamines as terminal units. The implementation of the new HTM in CH3NH3PbI3-based perovskite solar cells exhibited an excellent overall power conversion efficiency (PCE) of 13.4% without the use of any dopants and additives which is comparable to 15.0% obtained using p-doped spiro-MeOTAD-based devices. Furthermore, the device based on the new HTM generated a slightly higher open circuit voltage (VOC) of 971 mV compared to a spiro-MeOTAD (VOC = 951 mV) based device. The present results demonstrate that spiro-CPDT could be an excellent building block to prepare dopant-free HTMs for perovskite solar cells and holds promise to replace the p-doped spiro-OMeTAD, which is important for the fabrication of cost-effective devices in the future.
Cancer Risk Estimation Combining Lung Screening CT with Clinical Data Elements.

Purpose To develop a model to estimate lung cancer risk using lung cancer screening CT and clinical data elements (CDEs) without manual reading efforts. Materials and Methods Two screening cohorts were retrospectively studied: the National Lung Screening Trial (NLST; participants enrolled between August 2002 and April 2004) and the Vanderbilt Lung Screening Program (VLSP; participants enrolled between 2015 and 2018). Fivefold cross-validation using the NLST dataset was used for initial development and assessment of the co-learning model using whole CT scans and CDEs. The VLSP dataset was used for external testing of the developed model. Area under the receiver operating characteristic curve (AUC) and area under the precision-recall curve were used to measure the performance of the model. The developed model was compared with published risk-prediction models that used only CDEs or imaging data alone. The Brock model was also included for comparison by imputing missing values for patients without a dominant pulmonary nodule. Results A total of 23 505 patients from the NLST (mean age, 62 years ± 5 [standard deviation]; 13 838 men, 9667 women) and 147 patients from the VLSP (mean age, 65 years ± 5; 82 men, 65 women) were included. Using cross-validation on the NLST dataset, the AUC of the proposed co-learning model (AUC, 0.88) was higher than the published models predicted with CDEs only (AUC, 0.69; P < .05) and with images only (AUC, 0.86; P < .05). Additionally, using the external VLSP test dataset, the co-learning model had a higher performance than each of the published individual models (AUC, 0.91 [co-learning] vs 0.59 [CDE-only] and 0.88 [image-only]; P < .05 for both comparisons). Conclusion The proposed co-learning predictive model combining chest CT images and CDEs had a higher performance for lung cancer risk prediction than models that contained only CDE or only image data; the proposed model also had a higher performance than the Brock model.Keywords: Computer-aided Diagnosis (CAD), CT, Lung, Thorax Supplemental material is available for this article. © RSNA, 2021.
Warrior Ethos: Analysis of the Concept and Initial Development of Applications

Abstract : This research refines and operationalizes the 2003 definition of Warrior Ethos and examines a means for its inculcation into the Army. Specifically, the research considered Initial Entry Training (IET) of enlisted Soldiers as an initial opportunity for the application of potential solutions, although the concepts apply to officer initial military training as well. The U.S. Army Infantry School Task Force Soldier's 2003 definition of Warrior Ethos (Mission First, Never Quit, Never Accept Defeat, Never Leave a Fallen Comrade) was examined, and further broken down into the values- based attributes exemplified by a Soldier who demonstrates Warrior Ethos. Using a theoretical framework, these attributes were linked to specific behavior, the execution of which represented an operationalization of Warrior Ethos as a complex concept. The desirable behaviors, captured in nine Warrior battle drills, were also considered from the standpoint of barriers or friction to their execution. A tentative methodology for training was then postulated.
Novel Approach against Reverse Bandwagon Profile Inject Attack in Recommender Systems

Due to the simplicity and high recommending quality, collaborative filtering algorithms are the most successful recommender techniques and wildly used in e-commerce recommender systems. However, such systems are vulnerable to profile inject attack which is employed by inserting biased profiles into systems in order to influence the recommendations. In this paper, we propose a novel method against reverse bandwagon profile inject attack model. Our method is basing the standard collaborative filtering algorithms. Experiment results show that our method has better performance against reverse bandwagon attack model.
Do parents’ flexible working hours affect fathers’ contribution to domestic work? Evidence from a factorial survey

This paper investigates the impact of fathers’ flexible working hours on their willingness to contribute to domestic work. We first hypothesize that fathers will contribute more if they have the possibility to work flexible hours. Second, fathers are assumed to contribute less if their female partners have the possibility to work flexible hours. We test our hypotheses using data from a vignette study, where fathers evaluate hypothetical job offers to their non-employed partner with regard to the contribution to domestic work they are willing to offer if their partner accepts the job. We find that fathers’ flexible hours increase their willingness to contribute to childcare but not to household work, partially supporting hypothesis one. Regarding hypothesis two, we find no effects of the female partner’s flexible working hours on fathers’ contribution to childcare or household work. We conclude our paper with some policy implications.
An experimental analysis of the p-median problem under uncertainty: an evolutionary algorithm approach

Facility location under uncertain environments is an important and challenging problem. The problem deals with the optimal placement of facilities that serve a set of spatially distributed nodes. One way to deal with this problem is to model uncertainty by means of scenarios and to optimise some robustness criteria such as the average and maximum regrets over these scenarios. We propose to model the robust design as a bi-objective optimisation problem and to use a well-known multi-objective evolutionary algorithm, the NSGA-II, to solve it. We also propose to use the bi-objective optimisation framework to analyse the effects of variations in the number of facilities to install, and of nodes to be served, on the quality of the Pareto solutions. Computational experiments show that the proposal can be used to design robust solutions and to study the effects of changes in the system parameters on the quality of the generated solutions. [Received 23 June 2012; Revised 15 November 2012; Revised 23 January 2013; Accepted 28 February 2013]
Research and Design of Web-Based Autonomous and Collaborative Teaching Mode under Blended Learning

Blended learning is a continuously developing and extending concept, which has been the hot topic of educational technology. With the development of information technology, the network environment has become one of the important environments for learners to study. Autonomous learning and collaborative learning, which are based on network environment, will become indispensable ways of future learning. This paper analyzes the basic theory of blended learning, discusses the meaning and relationship of autonomous learning and collaborative learning, and analyzes the advantages of autonomous and collaborative learning brought by network. Then with teaching practice, this paper builds a web-based autonomous and collaborative teaching model under blended learning. Finally, the paper gives a detailed description in designing teaching process, module structure, functions and system architecture of web-based autonomous and collaborative teaching model. The analysis shows that applying this model to course teaching has some influence and practical significance to enrich and improve the teaching pattern.
Implementation of speed-sensor-less field-oriented vector control using adaptive sliding observers

The authors describe the design method for a robust adaptive sliding observer which realizes speed-sensorless field-oriented vector control of AC motor drives. The speed-sensorless field oriented vector control system using the adaptive sliding observer was implemented. The basic characteristics of the proposed system and the design method against parameter deviation were studied experimentally. In the present system, the steady state error of the speed control was about 0.3% and the settling time was about 100 ms. The proposed system had good characteristics of speed control even in a low-speed region. The pole assignment, considering H/sub infinity / norm of the transfer function from disturbances, realized good characteristics of the speed-sensorless field-oriented vector control even with parameter deviations. <<ETX>>
Responsive Space Situation Awareness in 2020

Abstract : The U.S. strategy to assure freedom of access in space hinges on Space Situation Awareness (SSA): the ability to find and track space objects and determine their capability and intent. As a result, AFSPC is investing much to overhaul the aging sensors, network the sensors to enable data sharing and dissemination timeliness, and improve the tactics, techniques, and procedures required to integrate space surveillance into the command and control operations at the Joint Space Operations Center. Regardless, AFSPC is projecting a shortfall in deep space characterization and SSA responsiveness at the end of the mid-term planning cycle in 2020. The goal of this research paper is to recommend a few strategy refinements and a key technology investment necessary to erase these shortfalls. The recommended strategy refinements include: seeking out more contributing sensors, establishing a layered network to free up dedicated sensors to monitor high interest objects and respond to events, using all means to erase the "lost"? object list, and switching some SSA missions from persistent to routine for the sake of reducing cost and complexity. Though the added sensors and planned net centricity greatly improve coverage and shared situation awareness, the complexity of the network in 2020 and timeliness required to respond to tactical events suggest the need for shared division of labor between humans and machines. Humans must transform from looking at the network as a data provider and instead look at the network as a teammate capable of sharing in the decisionmaking. This paper recommends investment in artificial cognition technology and outlines the training program required to transform the network from the new kid on the block to the seasoned grey beard capable of sharing cognition in some instances and taking over cognition and directing responsive operations when complexity and timelines necessitate it.
Harmonic domain modeling of laminated iron core

The steady-state modeling of a laminated saturating iron core is discussed. The modeling is in the harmonic domain, i.e. in terms of phasors for the different harmonics due to the nonlinear magnetization characteristic. The procedure is based on a polynomial approximation of the magnetization characteristic. In the harmonic domain the computations can then be performed by simply replacing time-domain multiplications by convolutions. The lamination is discretized, and Maxwell's equations are written in terms of discrete local field quantities, B, H, and E. The end result is a matrix equation solved by linearization, which it yields harmonic-domain components of B and H over the cross-section of the lamination. The method can be used in practical problems, such as ferroresonance, for obtaining more accurate results than with presently available simple procedures. >