bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design Form and Function Prediction From a Single Image
Authors: Edwards Kristen M. , Addala Vaishnavi L. , Ahmed Faez 
Published: November 2021

Abstract
Estimating the form and functional performance of a design in the early stages can be crucial for a designer for effective ideation Humans have an innate ability to guess the size, shape, and type of a design from a single view. The brain fills in the unknowns in a fraction of a second. However, humans may struggle with estimating the performance of designs in the early stages of the design process without making prototypes or doing back-of-the-envelope calculations. In contrast, machines need information about the full 3D model of a design to understand its structure. Machines can estimate the performance using pre-defined rules, expensive numerical simulations, or machine learning models. In this paper, we show how information about the form and functional performance of a design can be estimated from a single image using machine learning methods. Specifically, we leverage the image-to-image translation method to predict multiple projections of an image-based design. We then train deep neural network models on the predicted projections to provide estimates of design performance. We demonstrate the effectiveness of our method by predicting the aerodynamic performance from images of aircraft models. To estimate ground truth aero-dynamic performance, we run CFD simulations for 4045 3D aircraft models from the ShapeNet dataset and use their lift-to-drag ratio as the performance metric. Our results show that single images do carry information for both form and functional performance. From a single image, we are able to produce six additional images of a design in different orientations, with an average Structural Similarity Index score of 0.872. We also find image-translation methods provide a promising direction in estimating the performance of design. Using multiple images of a design (gathered through image-translation) to predict design performance yields a recall value of 47%, which is 14% higher than a base guess, and 3% higher than using a single image. Our work identifies the potential and provides a framework for using a single image to predict the form and functional performance of a design during the early-stage design process. Our code and additional information about our work are available at http://decode.mit.edu/projects/formfunction/.
Geometry Enhanced Generative Adversarial Networks for Random Heterogeneous Material Representation
Authors: Chen Hongrui , Liu Xingchen 
Published: November 2021

Abstract
The representation of material structure geometry is essential to the reconstruction, physical simulation, and the multiscale structure design with Random Heterogeneous Material (RHM). Traditional approaches to material structure representation often need to balance the trade-off between efficacy and accuracy. Recently, deep learning-based techniques have been adopted to reduce the computational time of RHM reconstruction. However, existing approaches generally lack guarantees over key RHM characteristics, including Minkowski functionals and correlation functions.
We propose a novel approach to geometrically enhancing the deep learning-based RHM representation by introducing Minkowski functionals, a set of topological and geometrical characteristics of material structure, into the training of conditional Generative Adversarial Networks (cGAN). This hybrid approach combines the feature learning capability of deep learning with the well-established material structure characteristics, greatly improving the accuracy of the RHM representation while maintaining its efficiency. The effectiveness of the proposed hybrid approach is validated through the reconstruction of a wide range of natural and manmade materials, including Voronoi foam structures, femur, and sandstone. Through computational experiments, we demonstrate that geometrically enhancing the training of cGAN for RHM representation not only significantly decreases the representation error in Minkowski functionals between input sample materials and reconstructed results, but also improves the performance of other material structure characteristics, such as two-point correlation functions.
A Tripolar Electromyography Device With Active Electrode-Skin Impedance Imbalance Compensation
Authors: Towse Alexander J. , Fortune Benjamin C. , Pretty Chistopher G. , Hayes Michael P. 
Published: November 2021

Abstract
This paper discusses the development of a tripolar EMG device featuring electrode impedance compensation circuitry. The device also includes circuitry to test the effectiveness of these features at improving EMG signal quality. Due to various factors, the electrode-skin impedance of different electrodes is typically imbalanced. This imbalance increases EMG susceptibility to electrical noise. These issues can be mitigated by applying impedance compensation. This was done for a tripolar configuration specifically to also reduce interference due to crosstalk.
The development process and design choices behind the device features are discussed, with particular focus on the impedance compensation circuit. This includes key components used, and the justification behind their selection.
Testing found the tripolar electrode configuration had limited effect on crosstalk interference. Fortunately, the impedance compensation circuit could successfully correct for impedance imbalance. This led to a marked reduction in noise due to electrical interference, such as from 50Hz mains hum.
Task Space Planning With Complementarity Constraint-Based Obstacle Avoidance
Authors: Sinha Anirban , Sarker Anik , Chakraborty Nilanjan 
Published: November 2021

Abstract
In this paper, we present a task space-based local motion planner that incorporates collision avoidance and constraints on end-effector motion during the execution of a task. Our key technical contribution is the development of a novel kinematic state evolution model of the robot where the collision avoidance is encoded as a complementarity constraint. We show that the kinematic state evolution with collision avoidance can be represented as a Linear Complementarity Problem (LCP). Using the LCP model along with Screw Linear Interpolation (ScLERP) in SE(3), we show that it may be possible to compute a path between two given task space poses by directly moving from the start to the goal pose, even if there are potential collisions with obstacles. Scalability of the planner is demonstrated with experiments using a physical robot. We present simulation and experimental results with both collision avoidance and task constraints to show the efficacy of our approach.
Neurocognitive Effects of Incentivizing Students to Improve Performance Through Repeat Attempts in Design Settings
Authors: Shah Devanshi , Kames Elisabeth , Morkos Beshoy 
Published: November 2021

Abstract
The goal of the study is to examine the effectiveness of using an incentivized “test/retest” scenario to improve participants’ performance during stressful situations. The study makes use of an electroencephalography (EEG) machine to detect participants’ stress levels during a one-minute typing test. The typing test administered was a standard, “story-typing” test. A total of 23 student participants were randomly divided into two cohorts: the control cohort and the experimental cohort. Participants were asked to complete a preliminary questionnaire self-assessing their ability to handle stressful situations. Both cohorts were then asked to complete the typing test (hereafter referred to as T1) and fill out an Emotional Stress Reaction Questionnaire (ESRQ), indicating their emotions during the typing test. The participants were then asked to complete the typing test and accompanying ESRQ a second time (hereafter referred to as T2). However, prior to the second test, the participants in the experimental cohort were told that the participant that shows the most improvement in their typing speed (measured in words per minute) will receive a $100 gift card.
This stimulus is used to increase the already stressful situation for the experimental cohort and examine whether participants’ brain activity changes when the “retest” is incentivized. Each participant’s EEG data and heartrate were measured through the duration of the experiment and t-tests and regression analyses were used to determine if a statistically significant difference existed between cohorts (control vs. experimental) or within cohorts (T1 vs. T2).
The results show that there were no significant changes in brain activity, emotions, or typing performance for the control group of participants (no reward offered). However, the experimental group showed an increase in EEG sensor activity; specifically, the sensors that control vision and emotion. Interestingly, the participant’s performance was found to be correlated to their emotional responses, rather than their EEG sensor data. Additionally, the experimental groups’ positive emotions were increased for the second typing test, which is incentivized. The findings lay a foundation for design settings scenarios where preparatory practices can be incorporated.
Design Embedding: Representation Learning of Design Thinking to Cluster Design Behaviors
Authors: Hafizur Rahman Molla , Xie Charles , Sha Zhenghui 
Published: November 2021

Abstract
Design thinking is essential to the success of a design process as it helps achieve the design goal by guiding design decision-making. Therefore, fundamentally understanding design thinking is vital for improving design methods, tools and theories. However, interpreting design thinking is challenging because it is a cognitive process that is hidden and intangible. In this paper, we represent design thinking as an intermediate layer between human designers’ thought processes and their design behaviors. To do so, this paper first identifies five design behaviors based on the current design theories. These behaviors include design action preference, one-step sequential behavior, contextual behavior, long-term sequential behavior, and reflective thinking behavior. Next, we develop computational methods to characterize each of the design behaviors. Particularly, we use design action distribution, first-order Markov chain, Doc2Vec, bi-directional LSTM autoencoder, and time gap distribution to characterize the five design behaviors. The characterization of the design behaviors through embedding techniques is essentially a latent representation of the design thinking, and we refer to it as design embeddings. After obtaining the embedding, an X-mean clustering algorithm is adopted to each of the embeddings to cluster designers. The approach is applied to data collected from a high school solar system design challenge. The clustering results show that designers follow several design patterns according to the corresponding behavior, which corroborates the effectiveness of using design embedding for design behavior clustering. The extraction of design embedding based on the proposed approach can be useful in other design research, such as inferring design decisions, predicting design performance, and identifying design actions identification.
Nonlinear Spectral Properties of Elastic Waves Propagating Along a Pantographic Metamaterial With Local Inertia Amplifiers
Authors: Settimi Valeria , Lepidi Marco , Bacigalupo Andrea 
Published: November 2021

Abstract
Pantographic mechanisms can be introduced in the cellular periodic microstructure of architected metamaterials to achieve functional effects of local inertia amplification. The paper presents a one-dimensional pantographic metamaterial, characterized by an inertially amplified tetra-atomic cell. An internally constrained two-degrees-of-freedom model is formulated to describe the undamped free propagation of harmonic waves in the weakly nonlinear regime. A general asymptotic approach is employed to analytically determine the linear and nonlinear dispersion properties. Analytical, although asymptotically approximate, functions are obtained for the nonlinear wavefrequencies and waveforms, which show significant nonlinear effects including softening/hardening bending of the backbone curves and synclastic/anticlastic curvatures of the invariant manifolds.
Prescribing and Self-Regulating Heated Water-Based Exercise by Rating of Perceived Exertion in Older Individuals With Hypertension
Authors: Marçal Isabela Roque , Fernandes Bianca , do Amaral Vanessa Teixeira , Pelaquim Renato Lopes , Ciolac Emmanuel Gomes 
Published: November 2021

We aimed to analyze the usefulness of the 6–20 rating of perceived exertion (RPE) scale for prescribing and self-regulating high-intensity interval (HIIE) and moderate-intensity continuous (MICE) aerobic exercise performed in a heated swimming pool (32 °C). Fifteen older individuals (65 ± 3 years) treated for hypertension underwent a symptom-limited maximal graded exercise test to determine their heart rate at anaerobic threshold, and respiratory compensation point. On different days, participants were randomized to HIIE (walking/jogging between 11 and 17 of RPE; 25 min) and MICE (walking at 11–13 of RPE; 30 min). Heart rate during the low-intensity intervals of HIIE and MICE remained below the graded exercise test’s heart rate at anaerobic threshold (−7 ± 18 bpm/−16 ± 15 bpm) and respiratory compensation point (−18 ± 18 bpm/−30 ± 16 bpm), respectively, and maintained in the aerobic training zone during the high-intensity intervals of HIIE (+8 ± 18 bpm/−4 ± 19 bpm). The RPE scale at 15–17 is a useful tool for prescribing and self-regulating heated water-based HIIE and may have important implications for water-based exercise in older individuals with hypertension.
On the Program of Russian Research in the Field of Controlled Thermonuclear Fusion and Plasma Technologies
Authors: Ilgisonis V. I. , Ilyin K. I. , Novikov S. G. , Olenin Yu. A. 
Published: November 2021

Abstract
The main scientific problems solved within the “Development of controlled fusion technologies and innovative plasma technologies” federal project, part of the comprehensive program “Development of equipment, technologies, and scientific research in the field of atomic energy use in the Russian Federation for the period up to 2024” are described. A brief history of development of the project is given, and the description of its main components, participants, anticipated results, and possibilities for the future is p-resented. This paper is a foreword to the materials of the journal issue entirely devoted to the Tokamak with Reactor Technologies (TRT) project, which is to be developed within the federal project.
The Improving Risk Informed HPV Screening (IRIS) Study: Design and Baseline Characteristics
Authors: Gage Julia C. , Raine-Bennett Tina , Schiffman Mark , Clarke Megan A. , Cheung Li C. , Poitras Nancy E. , Varnado Nicole E. , Katki Hormuzd A. , Castle Philip E. , Befano Brian , Chandra Malini , Rydzak Greg , Lorey Thomas , Wentzensen Nicolas 
Published: November 2021

Abstract

Background:
Cervical cancer screening with high-risk human papillomavirus (HrHPV) testing is being introduced. Most HrHPV infections are transient, requiring triage tests to identify individuals at highest risk for progression to cervical cancer. Head-to-head comparisons of available strategies for screening and triage are needed. Endometrial and ovarian cancers could be amenable to similar testing.

Methods:
Between 2016 and 2020, discarded cervical cancer screening specimens from women ages 25 to 65 undergoing screening at Kaiser Permanente Northern California were collected. Specimens were aliquoted, stabilized, and stored frozen. Human papillomavirus (HPV), cytology, and histopathology results as well as demographic and cofactor information were obtained from electronic medical records (EMR). Follow-up collection of specimens was conducted for 2 years, and EMR-based data collection was planned for 5 years.

Results:
Collection of enrollment and follow-up specimens is complete, and EMR-based follow-up data collection is ongoing. At baseline, specimens were collected from 54,957 HPV-positive, 10,215 HPV-negative/Pap-positive, and 12,748 HPV-negative/Pap-negative women. Clinical history prior to baseline was available for 72.6% of individuals, of which 53.9% were undergoing routine screening, 8.6% recently had an abnormal screen, 30.3% had previous colposcopy, and 7.2% had previous treatment. As of February 2021, 55.7% had one or more colposcopies, yielding 5,563 cervical intraepithelial neoplasia grade 2 (CIN2), 2,756 cervical intraepithelial neoplasia grade 3 (CIN3), and 146 cancer histopathology diagnoses.

Conclusions:
This robust population-based cohort study represents all stages of cervical cancer screening, management, and posttreatment follow-up.

Impact:
The IRIS study is a unique and highly relevant resource allowing for natural history studies and rigorous evaluation of candidate HrHPV screening and triage markers, while permitting studies of biomarkers associated with other gynecologic cancers.
High Prediagnosis Inflammation-Related Risk Score Associated with Decreased Ovarian Cancer Survival
Authors: Brieger Katharine K. , Phung Minh Tung , Mukherjee Bhramar , Bakulski Kelly M. , Anton-Culver Hoda , Bandera Elisa V. , Bowtell David D.L. , Cramer Daniel W. , DeFazio Anna , Doherty Jennifer A. , Fereday Sian , Fortner Renée Turzanski , Gentry-Maharaj Aleksandra , Goode Ellen L. , Goodman Marc T. , Harris Holly R. , Matsuo Keitaro , Menon Usha , Modugno Francesmary , Moysich Kirsten B. , Qin Bo , Ramus Susan J. , Risch Harvey A. , Rossing Mary Anne , Schildkraut Joellen M. , Trabert Britton , Vierkant Robert A. , Winham Stacey J. , Wentzensen Nicolas , Wu Anna H. , Ziogas Argyrios , Khoja Lilah , Cho Kathleen R. , McLean Karen , Richardson Jean , Grout Bronwyn , Chase Anne , Deurloo Cindy McKinnon , Odunsi Kunle , Nelson Brad H. , Brenton James D. , Terry Kathryn L. , Pharoah Paul D.P. , Berchuck Andrew , Hanley Gillian E. , Webb Penelope M. , Pike Malcolm C. , Pearce Celeste Leigh 
Published: November 2021

Abstract

Background:
There is suggestive evidence that inflammation is related to ovarian cancer survival. However, more research is needed to identify inflammation-related factors that are associated with ovarian cancer survival and to determine their combined effects.

Methods:
This analysis used pooled data on 8,147 women with invasive epithelial ovarian cancer from the Ovarian Cancer Association Consortium. The prediagnosis inflammation-related exposures of interest included alcohol use; aspirin use; other nonsteroidal anti-inflammatory drug use; body mass index; environmental tobacco smoke exposure; history of pelvic inflammatory disease, polycystic ovarian syndrome, and endometriosis; menopausal hormone therapy use; physical inactivity; smoking status; and talc use. Using Cox proportional hazards models, the relationship between each exposure and survival was assessed in 50% of the data. A weighted inflammation-related risk score (IRRS) was developed, and its association with survival was assessed using Cox proportional hazards models in the remaining 50% of the data.

Results:
There was a statistically significant trend of increasing risk of death per quartile of the IRRS [HR = 1.09; 95% confidence interval (CI), 1.03–1.14]. Women in the upper quartile of the IRRS had a 31% higher death rate compared with the lowest quartile (95% CI, 1.11–1.54).

Conclusions:
A higher prediagnosis IRRS was associated with an increased mortality risk after an ovarian cancer diagnosis. Further investigation is warranted to evaluate whether postdiagnosis exposures are also associated with survival.

Impact:
Given that pre- and postdiagnosis exposures are often correlated and many are modifiable, our study results can ultimately motivate the development of behavioral recommendations to enhance survival among patients with ovarian cancer.
Religious Conscience or Religious Freedom? The Difference between Official Constitutional Norms and Actual Legal Restrictions in Morocco, Algeria, and Tunisia
Authors: Idrissi Amal 
Published: November 2021

Abstract
This paper will consider the extent to which two competing norms—freedom of religion, on the one hand, and Islam as the religion of the state, on the other—are in tension with each other as seen through the lens of three Muslim-majority countries in the Maghreb. I examine this potential tension in four steps: first, the transformation of meaning of the Arabic word “hurriyya” (freedom) during and after the 19th century; second, the articulation of Islam as the religion of the state in the constitutions of Morocco, Algeria, and Tunisia; third, the articulation of freedom of religion (whether freedom of worship or conscience) in the constitutional texts of these three countries, and finally, the question whether the laws and practices that implement these two constitutional norms are compatible or whether they in fact give priority to Islam as the state religion over the norm of freedom of religion. In Morocco, Algeria, and Tunisia, Islam plays an important role in the legal system, especially in family codes: the Moroccan Family Code (2004), the Algerian Family Code (2016), and the Tunisian Personal Status Code (1957). These are the remaining citadels most implicated with references to Islamic law, the interpretation of which has placed women in an unequal position.
Tolstoy’s War and Peace: Philosophy of History Defamiliarized
Authors: Kellner Hans 
Published: November 2021

Abstract
Tolstoy’s War and Peace asserts an opposition to the discourse of philosophy of history and of any theorizing of human life because of the complexity of events, the possibilities not realized, and the insignificance of our moment in time and space. Without that sort of consideration of the possibility that human events cannot be theorized, explained, correctly narrated, or anticipated, we may miss our chance to cast off the burden of philosophy of history (in the interest of life), or at least to perceive that it is a burden.