bluuebunny/crossref_metadata_2025 huggingface dataset:
Economic implications of FDA platelet bacterial guidance compliance options: Comparison of single‐step strategies
Authors: Prioli Katherine M. , Abersone Ilze , Kopko Patricia M. , Herman Jay H. , Custer Brian , Pizzi Laura T.
Published: January 2022

BACKGROUND

Bloodborne pathogens pose a major safety risk in transfusion medicine. To mitigate the risk of bacterial contamination in platelet units, FDA issues updated guidance materials on various bacterial risk control strategies (BRCS). This analysis presents results of a budget impact model updated to include 5‐ and 7‐day pathogen reduced (PR) and large volumed delayed sampling (LVDS) BRCS.

STUDY DESIGN AND METHODS

Model base‐case parameter inputs were based on scientific literature, a survey distributed to 27 US hospitals, and transfusion experts' opinion. The outputs include hospital budget and shelf‐life impacts for 5‐ and 7‐day LVDS, and 5‐ and 7‐day PR units under three different scenarios: (1) 100% LVDS, (2) 100% PR, and (3) mix of 50% LVDS ‐ and 50% PR.

RESULTS

Total annual costs from the hospital perspective were highest for 100% LVDS platelets (US$2.325M) and lowest for 100% PR‐7 units (US$2.170M). Net budget impact after offsetting annual costs by outpatient reimbursements was 5.5% lower for 5‐day PR platelets as compared to 5‐day LVDS (US$1.663 vs. US$1.760M). A mix of 7‐day LVDS and 5‐day PR platelets had net annual costs that were 1.3% lower than for 100% 7‐day LVDS, but 1.3% higher than for 100% 5‐day PR. 7‐day PR platelets had the longest shelf life (4.63 days), while 5‐day LVDS had the shortest (2.00 days).

DISCUSSION

The model identifies opportunities to minimize transfusion center costs for 5‐ and 7‐day platelets. Budget impact models such as this are important for understanding the financial implications of evolving FDA guidance and new platelet technologies.
Impact of Engaging the Nonthrowing Arm on Maximal Ball Velocity From an Overhand Throw With Both the Dominant and Nondominant Arms: A Pilot Study
Authors: Weisberg Alanna , Suk Lee Hyun , Fung Tak , Katz Larry
Published: January 2022

The overhand throw is a complex whole-body motor skill that is fundamental to many sports and activities. When throwing properly, the momentum generated to complete the movement begins in the lower body and transfers through the trunk to the throwing arm. This proof-of-concept study’s primary purpose was to evaluate the impact of the nonthrowing arm on the ball speed during an overhand throw with both the dominant and nondominant arms. Eighteen participants (age: 20.20 ± 2.90 years, nine women) were divided into two intervention groups: a pulling group taught to engage the nonthrowing arm through a pull toward the body and a nonpulling group taught the overhand throw using a component-based physical education curriculum. Each participant completed 12 total throws, six for each side (dominant and nondominant arm). Ball speed and kinematic data were collected using an eight-camera motion analysis system and were assessed using a pre–post study design. The two groups showed significant improvements pre–post when throwing with both the dominant and nondominant arms. Based on effect size comparisons, engaging the nonthrowing arm makes a meaningful difference in maximal ball velocity.
Maternal Physical Activity at Term and Spontaneous Labor: A Case-Crossover Study
Authors: Nulty Alison K. , Bovbjerg Marit L. , Savitz David A. , Herring Amy H. , Bradley Chyrise B. , Evenson Kelly R.
Published: January 2022

Background: This study assessed associations between antenatal physical activity and the onset of spontaneous labor (SL). Methods: Data were taken from 541 participants in the third pregnancy, infection, and nutrition study who had no contraindications to antenatal physical activity. An interviewer-administered questionnaire assessed labor triggers, gestational age at birth, and physical activity within the week (24 h to 7 d) and the 24-hour period (0–24 h) prior to SL. A case-crossover design examined the association between physical activity (recreational, occupational, or any) and the risk of onset of SL within the subsequent 24 hours. Results: Overall, 21% (any), 26% (recreational), and 14% (occupational) of participants reported physical activity during the week; whereas 5% (any), 7% (recreational), and 3% (occupational) reported physical activity during the 24-hour period, prior to SL onset. Participants who reported any or occupational physical activity during the 24-hour period had a decreased likelihood of SL within the subsequent 24 hours, while participants who reported at least 30 minutes of recreational physical activity had an increased likelihood. Results remained consistent among early, full, or postterm participants. Conclusion: Recreational, but not occupational, physical activity at term may increase the likelihood of SL; however, the authors cannot rule out reverse causality.
Kinesiology’s Social Justice Imperative
Authors: Cardinal Bradley J.
Published: January 2022

Kinesiology is a field focused on physical activity and its impact on health, society, and quality of life. But do all people have equal opportunities to access and experience physical activity? Do physical activity settings allow people to freely express themselves? Are the benefits of physical activity universally shared by all people? If the answer to any of these questions is “no,” then these questions demand not only our immediate attention, but also our collective action. During the National Academy of Kinesiology’s 90th anniversary meeting, September 22–24, 2021, these questions and others were explored through presentations devoted to the theme “Kinesiology’s Social Justice Imperative.” This essay overviews the meeting, its purpose, and the organizers and introduces the 11 thematic papers in the “Proceedings of the National Academy of Kinesiology’s 2021 Meeting: Kinesiology’s Social Justice Imperative” issue, plus a 12th essay commemorating the National Academy of Kinesiology’s 90th anniversary meeting.
Nesting in close quarters: causes and benefits of high-density nesting behaviour in Painted Turtles (Chrysemys picta)
Authors: Kell S.J. , Rollinson N. , Brooks R.J. , Litzgus J.D.
Published: January 2022

Many oviparous reptiles nest in aggregations and with temporal synchrony. We hypothesized that these traits reflect attraction by conspecifics rather than limiting suitable habitat. We quantified whether Painted Turtles (Chrysemys picta (Schneider, 1783)) in Algonquin Park, Ontario, Canada, were nesting communally, identified cues females used to select nest sites, and tested whether hatching success was higher in spatially clustered nests. We found that nests were closer to one another than expected by chance (i.e., were clustered), but that individual nest-site selection was only weakly influenced by microhabitat characteristics. Survival of clustered nests (49%) was not significantly higher than that of solitary nests (39%). When turtle models were placed on the nesting embankment, females nested most often with the highest density of models. Given that reproductive lifespan is the major axis of fitness and that there was little benefit to nest survival in clustered nests, we suggest that clustering is related to females cueing to conspecific nests to expedite the nesting process and gain a good-quality nest site (chosen by the first nesting female in the cluster) while investing little energy in nest-site selection. This strategy may reduce time spent on land, thereby minimizing chances of dehydration, temperature stress, and adult depredation.
The first results of PandaX-4T
Authors: Liu Jianglai
Published: January 2022

Dark matter, an invisible substance which constitutes 85% of the matter in the observable universe, is one of the greatest puzzles in physics and astronomy today. Dark matter can be made of a new type of fundamental particle, not yet observed due to its feeble interactions with visible matter. In this talk, we present the first results of PandaX-4T, a 4-ton-scale liquid xenon dark matter observatory, searching for these dark matter particles from deep underground. We will briefly summarize the performance of PandaX-4T, introduces details in the data analysis, and present the latest search results on dark matter-nucleon interactions.
Generalized tachyonic dark energy
Authors: Nouri Elham , Motavalli Hossein , Akbarieh Amin Rezaei
Published: January 2022

In this paper, a generalized tachyonic dark energy scenario is presented in the framework of a homogeneous and isotropic Friedmann–Lemaître–Robertson–Walker (FLRW) flat universe, in which a noncanonical scalar field is coupled to gravity nonminimally. By utilizing the Noether symmetry method, we found the explicit form of both potential density and coupling function, as a function of the scalar field. It is found that the tachyon field acts as the source of inflation and accelerates the evolution of the universe in the early times considerably. While, in the late times, gravitational sources are a pressureless matter field together with the tachyon field, which is the nature of dark energy and plays an essential role in the deceleration-acceleration phase transition of the universe. Further, the role of the coefficient function of tachyon potential, alongside the potential, is considered in the evolution of the universe. It is shown that this model involves a cosmological degeneracy in the sense that different coupling parameters and tachyonic potentials may be equivalent to the same cosmological standards such as the cosmic acceleration, age, equation of state and mean Hubble of the FLRW universe. The physical characteristics of the main cosmological observables are studied in detail, which suggests that the generalized tachyon field is a remarkable dark energy candidate.
MODELING AND MULTI-RESPONSE OPTIMIZATION OF ABRASIVE WATER JET MACHINING USING ANN COUPLED WITH NSGA-II
Authors: CHANDGUDE ABHIMANYU K. , BARVE SHIVPRAKASH B.
Published: January 2022

This paper aims to develop a predictive model and optimize the performance of the abrasive water jet machining (AWJM) during machining of carbon fiber-reinforced plastic (CFRP) epoxy laminates composite through a unique approach of artificial neural network (ANN) linked with the nondominated sorting genetic algorithm-II (NSGA-II). Initially, 80 AWJM experimental runs were carried out to generate the data set to train and test the ANN model. During the experimentation, the stand-off distance (SOD), water pressure, traverse speed and abrasive mass flow rate (AMFR) were selected as input AWJM variables and the average surface roughness and kerf width were considered as response variables. The established ANN model predicted the response variable with mean square error of 0.0027. Finally, the ANN coupled NSGA-II algorithm was applied to determine the optimum AWJM input parameters combinations based on multiple objectives.
Nonlinear optical single crystals for terahertz generation and detection
Authors: Yadav Sudha , Kumari Manju , Nayak Debabrata , Moona Girija , Sharma Rina , Vijayan N. , Jewariya Mukesh
Published: January 2022

Nonlinear optical (NLO) single crystals with high quality are the pillars for the development of new devices that fulfil the demands of society. Nowadays, NLO single crystals are very attractive for the photonic applications particularly for terahertz (THz) photonics. The reason for their popularity is that these crystals can produce very powerful and ultra wideband THz waves due to their high nonlinear susceptibility. In this review paper, we deal with the challenges and progresses in the evolution of NLO single crystals for THz wave generation and detection. Here, we review the single crystal growth that how and by which method single crystal is grown. We summarize the structures, intermolecular and intramolecular interactions, their properties and how they generate and detect the THz waves. Widely used single crystals at present are DAST, BNA, OH1, amino acid-based single crystals, etc.
Hybrid Approach Based on Machine Learning for Hand Shape and Key Point’s Estimation
Authors: Chen Zhongshan , Feng Xinning , Martínez Oscar Sanjuán , Crespo Rubén González
Published: January 2022

In human-computer interaction and virtual truth, hand pose estimation is essential. Public dataset experimental analysis Different biometric shows that a particular system creates low manual estimation errors and has a more significant opportunity for new hand pose estimation activity. Due to the fluctuations, self-occlusion, and specific modulations, the structure of hand photographs is quite tricky. Hence, this paper proposes a Hybrid approach based on machine learning (HABoML) to enhance the current competitiveness, performance experience, experimental hand shape, and key point estimation analysis. In terms of strengthening the ability to make better self-occlusion adjustments and special handshake and poses estimations, the machine learning algorithm is combined with a hybrid approach. The experiment results helped define a set of follow-up experiments for the proposed systems in this field, which had a high efficiency and performance level. The HABoML strategy decreased analysis precision by 9.33% and is a better solution.
Research on Art Appreciation System Based on Web Application
Authors: Zhang Haijun
Published: January 2022

The appreciation system of art works is a system that combines art with computer. It can realize the appreciation and appreciation of art works through computer, so that more people can come into contact with art works and improve people’s appreciation ability and spiritual and cultural life level of art works. The system is an application system based on Web application program and running under Windows system. The whole project development framework is a popular web framework. It is an application-oriented system constructed by using java development language, Oracle database as data storage support in persistence layer, Tomcat as application server and JSP technology. The function of the system is mainly divided into two parts. The administrator part only realizes the operation of adding, modifying and deleting the relevant information of the art works, including the detailed information of the works, the relevant information of the painter, the background art management and comment management of the art works, and the user information management; In the user part, it mainly realizes the functions of browsing, understanding and learning art works, and increases the functions of attention and comment on works. After development and debugging, the system runs normally, all functions of the administrator side are basically realized, and relevant operations can be carried out; The functions of the client are basically all realized. Users can choose some functions of the system according to their preferences.
Visually Improved Digital Media Communication Using Virtual Reality Technology and Digital Twin
Authors: Zhang Qian , Guo Xiaoying , Sun Maojun , Samuel R. Dinesh Jackson , Kumar Priyan Malarvizhi
Published: January 2022

Virtual reality (VR) has advanced as a collaborative, realistic, and creative computation technique in recent decades. With organizations becoming digitally more focused and employees’ experience changed by technology, manager’s face and continue to confront several obstacles in the digital transformation process. Recent advances in information integration have been made possible by implementing the improved digital twin (DT) paradigm and its use in the workspace. To solve these problems, simulated convergence, realistic dynamic computational decision-making, and other tools are effective. This helps to complete activities with physical models and records. Thereby, this paper presents a Visually Improved Digital Media Communication Framework (VIDMCF) using VR technology and DT. Incorporating all information, displaying the whole procedure, avoiding challenges, closing loops, optimizing repetitive processes, and making complex decisions in real-time can be aided by reproducing physical systems in the virtual design and adding VR and digital mirror twin to the output of digital media. The proposed model can achieve connectivity and convergence among the realistic atmosphere and the digital environment’s virtual system in cyber-real-space harmony over the life cycle.
Energy-Saving Methods for Urban Travel and Public Transportation in Smart Cities
Authors: Li Shan , Gao Ying , Ba Tao , Zhao Wei
Published: January 2022

In many countries, energy-saving and emissions mitigation for urban travel and public transportation are important for smart city developments. It is essential to understand the impact of smart transportation (ST) in public transportation in the context of energy savings in smart cities. The general strategy and significant ideas in developing ST for smart cities, focusing on deep learning technologies, simulation experiments, and simultaneous formulation, are in progress. This study hence presents simultaneous transportation monitoring and management frameworks (STMF ). STMF has the potential to be extended to the next generation of smart transportation infrastructure. The proposed framework consists of community signal and community traffic, ST platforms and applications, agent-based traffic control, and transportation expertise augmentation. Experimental outcomes exhibit better quality metrics of the proposed STMF technique in energy saving and emissions mitigation for urban travel and public transportation than other conventional approaches. The deployed system improves the accuracy, consistency, and F-1 measure by 27.50%, 28.81%, and 31.12%. It minimizes the error rate by 75.35%.
Sustainable Energy Management in Intelligent Transportation
Authors: Gao Ying , Ren Tong , Zhao Xia , Li Wentao
Published: January 2022

Intelligent transportation systems (ITS) are a collection of technologies that can enhance transport networks and public transit and individual decision-making about various elements of travel. ITS technologies comprise cutting-edge wireless, electronic and automated technology intending to improve safety, efficiency and convenience in surface transit. In certain cases, reducing energy usage has proven to be an ITS advantage. In this report, the primary energy advantages of a range of ITS systems established through models, pilot projects/field tests and extensive use are examined and summarized. In worldwide driving, the Internet of Things (IoT) solutions play a vital role. A new age of communication leading to ITS will be the communication between cars via IoT. IoT is a mixture of data and data analysis data storage and processing to manage the traffic system efficiently. Energy management, which is seen as an efficient, innovative approach to highly efficient energy generation plants. It simultaneously takes care of optimizing traditional sources of the IoT based intelligent transport system, helps to automate railways, roads, airways and shipways, which improve customer experience in the process. Following an evaluation of the situation, a proposal named energy management in intelligent transportation (EMIT) improves energy efficiency and economic efficiency in transportation. It improves energy management to reduce economic and ecological waste by decreasing global transport energy consumption. The sustainable development ratio is 85.7%, accidents detection ratio is 85.3%, electric vehicle infrastructure ratio is 83.6%, intelligent vehicle parking system acceptance ratio is 82.15%, and reduction ratio of energy consumption is 91.4%.
Design of Distance Education System for Ideological and Political Courses of Electronic Engineering Specialty Based on Big Data
Authors: Li Sun , Han Weixia
Published: January 2022

According to the existing literature, the existing engineering ideological and political curriculum distance education system has the problems of long response time and few concurrent users, which cannot meet the development needs of the professional talents of electronic engineering. Therefore, the design and research of the long-distance education system of the ideological and political course of electronic engineering specialty dependent on big data is proposed. Based on the analysis of the demand of distance education system, the overall structure of the distance education system is designed. The design of the system business functions mainly includes login verification module design, instant communication module design, online classroom module design, video answer module design and video back-view module design, and design the server cluster load balancing strategy according to big data technology, so as to realize the operation of the remote education system of the ideological and political courses of electronic engineering. The design system is shorter than response time while compared with existing system. and the number of users is more. It is fully proved that the design system has better application performance.
Finite 𝒟C-groups
Authors: Zhang Dandan , Qu Haipeng , Luo Yanfeng
Published: January 2022

Let G be a group and [Formula: see text]. G is said to be a [Formula: see text]-group if [Formula: see text] is a chain under set inclusion. In this paper, we prove that a finite [Formula: see text]-group is a semidirect product of a Sylow p-subgroup and an abelian [Formula: see text]-subgroup. For the case of G being a finite p-group, we obtain an optimal upper bound of [Formula: see text] for a [Formula: see text] p-group G. We also prove that a [Formula: see text] p-group is metabelian when [Formula: see text] and provide an example showing that a non-abelian [Formula: see text] p-group is not necessarily metabelian when [Formula: see text]. In particular, [Formula: see text] 2-groups are characterized.
Factorization invariants of the additive structure of exponential Puiseux semirings
Authors: Polo Harold
Published: January 2022

Exponential Puiseux semirings are additive submonoids of [Formula: see text] generated by almost all of the nonnegative powers of a positive rational number, and they are natural generalizations of rational cyclic semirings. In this paper, we investigate some of the factorization invariants of exponential Puiseux semirings and briefly explore the connections of these properties with semigroup-theoretical invariants. Specifically, we provide exact formulas to compute the catenary degrees of these monoids and show that minima and maxima of their sets of distances are always attained at Betti elements. Additionally, we prove that sets of lengths of atomic exponential Puiseux semirings are almost arithmetic progressions with a common bound, while unions of sets of lengths are arithmetic progressions. We conclude by providing various characterizations of the atomic exponential Puiseux semirings with finite omega functions; in particular, we completely describe them in terms of their presentations.
Research on the Coupled Water–Soil SPH Algorithm Improvement and Application Based on Two-phase Mixture Theory
Authors: Zhang Jiahe , Wang Jian , Wang Tian
Published: January 2022

An improved water–soil coupling algorithm was proposed based on the two-phase mixture theory within the framework of smoothed particle hydrodynamics (SPH). In this algorithm, the buoyant density was considered in saturated soil and the stress of two phases was completely exfoliated with the Terzaghi’s effective stress principle. Then the interaction between water and soil was only constituted by viscous drag force. The proposed algorithm was validated by several numerical tests to effectively solve a series of numerical problems caused by the truncation of the kernel approximation on the interface between submerged soil and water, and it can also be a feasible measure to simulate underwater soil excavation problems without drainage and underwater landside problems. Meanwhile, combined with frictional sliding contact algorithm, the interaction between water/soil and structure which was considered as rigid can be effectively modeled, and the calculated contact forces acting on the structure are more accurate. Furthermore, this improved algorithm can be applied to deal with large deformation problems involving complex water–soil–structure interaction in hydraulic and geotechnical engineering such as underwater excavation, shield dig, caisson sinking and other practical engineering problems. It is also significant to engineering design and the improvement of construction level.
Efficient Reusable Gold-Mesoporous Silica Nanocatalysts for Aromatic Nitro Reduction: Role of Phenolic Chelating Ligands on Immobilizing Gold Nanoparticles and Catalytic Activity
Authors: Pannipara Mehboobali , Al-Sehemi Abdullah G.
Published: January 2022

Developing heterogeneous metal nanocatalysts is highly desirable since the catalyst can be easily separated and reused for several times. In this manuscript, we have immobilized gold nanoparticles (AuNPs) on the surface of mesoporous silica (SiO[Formula: see text] using simple amino acid-based phenolic chelating molecules and utilized as highly reusable catalyst for nitroarene reduction. The synthesized nanocomposites (Au@SiO2-1 and Au@SiO2-2) have been unambiguously confirmed using powder X-ray diffraction (PXRD), Fourier transform infrared (FT-IR), high resolution-transmission electron microscopy (HR-TEM) and X-ray photoelectron spectroscopy (XPS). Interestingly, Au@SiO2-1 exhibited highly enhanced 4-nitrophenol reduction that was studied using absorption spectroscopy. Further catalytic activity of Au@SiO2-1 was also explored for 2-nitroaninline and 4-nitroaniline. The reusable studies demonstrated that the catalyst did not show significant change in the activity up to ten cycles. After catalytic reactions studies confirmed the strong attachment of AuNPs on the SiO2 matrix.
On the double Roman bondage numbers of graphs
Authors: Rad N. Jafari , Maimani H. R. , Momeni M. , Mahid F. Rahimi
Published: January 2022

For a graph [Formula: see text], a double Roman dominating function (DRDF) is a function [Formula: see text] having the property that if [Formula: see text] for some vertex [Formula: see text], then [Formula: see text] has at least two neighbors assigned [Formula: see text] under [Formula: see text] or one neighbor [Formula: see text] with [Formula: see text], and if [Formula: see text] then [Formula: see text] has at least one neighbor [Formula: see text] with [Formula: see text]. The weight of a DRDF [Formula: see text] is the sum [Formula: see text]. The minimum weight of a DRDF on a graph [Formula: see text] is the double Roman domination number of [Formula: see text] and is denoted by [Formula: see text]. The double Roman bondage number of [Formula: see text], denoted by [Formula: see text], is the minimum cardinality among all edge subsets [Formula: see text] such that [Formula: see text]. In this paper, we study the double Roman bondage number in graphs. We determine the double Roman bondage number in several families of graphs, and present several bounds for the double Roman bondage number. We also study the complexity issue of the double Roman bondage number and prove that the decision problem for the double Roman bondage number is NP-hard even when restricted to bipartite graphs.
Erbium upconversion luminescence from sol-gel derived multilayer porous inorganic perovskite film
Authors: Rudenko M. V. , Gaponenko N. V. , Chubenko E. B. , Lashkovskaya E. I. , Shustsikava K. V. , Radyush Yu. V. , Zhivulko V. D. , Mudryi A. V. , Wang M. , Monaico E. V. , Stepikhova M. V. , Yablonskiy A. N.
Published: January 2022

Erbium-doped barium titanate (BaTiO3:Er) xerogel film with a thickness of about 500 nm was formed on the porous strontium titanate ([Formula: see text] xerogel film on Si substrate after annealing at 800[Formula: see text]C or 900[Formula: see text]C. The elaborated structures show room temperature upconversion luminescence under 980 nm excitation with the photoluminescence (PL) bands at 523, 546, 658, 800 and 830 nm corresponding to 2[Formula: see text]4[Formula: see text], 4[Formula: see text][Formula: see text], 4[Formula: see text][Formula: see text] and 4[Formula: see text]4[Formula: see text] transitions of trivalent erbium. Raman and X-ray diffraction (XRD) analysis of BaTiO3:Er\porous SrTiO3\Si structure showed the presence of perovskite phases. Its excellent up-conversion optical performance will greatly broaden its applications in perovskite solar cells and high-end anti-counterfeiting technologies.
Compression of Deep Learning Models for Text: A Survey
Authors: Gupta Manish , Agrawal Puneet
Published: January 2022

In recent years, the fields of natural language processing (NLP) and information retrieval (IR) have made tremendous progress thanks to deep learning models like Recurrent Neural Networks (RNNs), Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTMs) networks, and Transformer [
121
] based models like Bidirectional Encoder Representations from Transformers (BERT) [
24
], Generative Pre-training Transformer (GPT-2) [
95
], Multi-task Deep Neural Network (MT-DNN) [
74
], Extra-Long Network (XLNet) [
135
], Text-to-text transfer transformer (T5) [
96
], T-NLG [
99
], and GShard [
64
]. But these models are humongous in size. On the other hand, real-world applications demand small model size, low response times, and low computational power wattage. In this survey, we discuss six different types of methods (Pruning, Quantization, Knowledge Distillation (KD), Parameter Sharing, Tensor Decomposition, and Sub-quadratic Transformer-based methods) for compression of such models to enable their deployment in real industry NLP projects. Given the critical need of building applications with efficient and small models, and the large amount of recently published work in this area, we believe that this survey organizes the plethora of work done by the “deep learning for NLP” community in the past few years and presents it as a coherent story.
ABLE: Meta-Path Prediction in Heterogeneous Information Networks
Authors: Huang Chenji , Fang Yixiang , Lin Xuemin , Cao Xin , Zhang Wenjie
Published: January 2022

Given a heterogeneous information network (HIN) H, a head node
h
, a meta-path P, and a tail node
t
, the meta-path prediction aims at predicting whether
h
can be linked to
t
by an instance of P. Most existing solutions either require predefined meta-paths, which limits their scalability to schema-rich HINs and long meta-paths, or do not aim at predicting the existence of an instance of P. To address these issues, in this article, we propose a novel prediction model, called ABLE, by exploiting the
A
ttention mechanism and
B
i
L
STM for
E
mbedding. Particularly, we present a concatenation node embedding method by considering the node types and a dynamic meta-path embedding method that carefully considers the importance and positions of edge types in the meta-paths by the Attention mechanism and BiLSTM model, respectively. A triplet embedding is then derived to complete the prediction. We conduct extensive experiments on four real datasets. The empirical results show that ABLE outperforms the state-of-the-art methods by up to 20% and 22% of improvement of AUC and AP scores, respectively.
When Less Is More: Systematic Analysis of Cascade-Based Community Detection
Authors: Prokhorenkova Liudmila , Tikhonov Alexey , Litvak Nelly
Published: January 2022

Information diffusion, spreading of infectious diseases, and spreading of rumors are fundamental processes occurring in real-life networks. In many practical cases, one can observe when nodes become infected, but the underlying network, over which a contagion or information propagates, is hidden. Inferring properties of the underlying network is important since these properties can be used for constraining infections, forecasting, viral marketing, and so on. Moreover, for many applications, it is sufficient to recover only coarse high-level properties of this network rather than all its edges. This article conducts a systematic and extensive analysis of the following problem: Given only the infection times, find communities of highly interconnected nodes. This task significantly differs from the well-studied community detection problem since we do not observe a graph to be clustered. We carry out a thorough comparison between existing and new approaches on several large datasets and cover methodological challenges specific to this problem. One of the main conclusions is that the most stable performance and the most significant improvement on the current state-of-the-art are achieved by our proposed simple heuristic approaches agnostic to a particular graph structure and epidemic model. We also show that some well-known community detection algorithms can be enhanced by including edge weights based on the cascade data.
sGrapp: Butterfly Approximation in Streaming Graphs
Authors: Sheshbolouki Aida , Özsu M. Tamer
Published: January 2022

We study the fundamental problem of butterfly (i.e., (2,2)-bicliques) counting in bipartite streaming graphs. Similar to triangles in unipartite graphs, enumerating butterflies is crucial in understanding the structure of bipartite graphs. This benefits many applications where studying the cohesion in a graph shaped data is of particular interest. Examples include investigating the structure of computational graphs or input graphs to the algorithms, as well as dynamic phenomena and analytic tasks over complex real graphs. Butterfly counting is computationally expensive, and known techniques do not scale to large graphs; the problem is even harder in streaming graphs. In this article, following a data-driven methodology, we first conduct an empirical analysis to uncover temporal organizing principles of butterflies in real streaming graphs and then we introduce an approximate adaptive window-based algorithm, sGrapp, for counting butterflies as well as its optimized version sGrapp-x. sGrapp is designed to operate efficiently and effectively over any graph stream with any temporal behavior. Experimental studies of sGrapp and sGrapp-x show superior performance in terms of both accuracy and efficiency.
Value Proposition for Enabling Construction Project Innovation by Applying Building Information Modeling
Authors: Liu Hui , Ju Qianqian , Zhao Na , Li Hujun , Skibniewski Miroslaw J.
Published: January 2022

Building information modeling (BIM) is evolving as a digital infrastructure model for innovation in the construction field. The innovation-enabling potential of BIM has been highly neglected in the literature. This study explores the innovative potential of BIM, specifically its value in enabling construction innovation (CI). Through reflective research and a literature review, the relationship between BIM and CI is redefined, BIM-CI’s value spectrum and underlying mechanisms are mapped and their required resources and activities are illustrated. The results indicate that different BIM applications provide various proinnovation environments wherein CI may flourish. Extra attention should be paid to BIM-enabled systematic collaborative innovation and digital innovation ecosystems with BIM as the core infrastructure that integrates the physical space with cyberspace to accelerate radical innovation. This study extends BIM management research by considering digital innovation and providing a new perspective for CI management theory and practice. The results will provide academics with a solid point of departure for developing relevant research and serve as a reference for practitioners who intend to utilize BIM for efficient innovation in construction projects.
An Unusual Presentation of COVID-19 Associated Multisystem Inflammatory Syndrome in Adults (MIS-A) in a Pregnant Woman
Authors: Rishard Mohamed , Perera Suren , Jayasinghe Kushan , Rubasinghe Amila , Athapaththu Sanjaya , Edirisinghe Malindu , Ranaweera Prabhodana , Ranawaka Tushani , Kaluarachchi Athula , Jayawardana Priyankara , Haniffa Zacky
Published: January 2022

Based on available literature, pregnant women are at an increased risk of severe illness from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, compared to nonpregnant women. Consequences of coronavirus disease 2019 (COVID-19) in pregnancy have many implications in women’s lives other than unfavorable obstetric outcomes. In addition to managing acute respiratory illness and symptoms, caregivers should be equipped to detect and manage the short-term, intermediate, and long-term consequences of SARS-CoV-2 infection as well. Many pregnant women can remain asymptomatic and continue their pregnancy without being diagnosed. Pregnancy outcomes and consequences of SARS-CoV-2 infected yet asymptomatic mothers have not been very well explained. Reports of a new multisystem inflammatory syndrome in children (MIS-C) and multisystem inflammatory syndrome in adults (MIS-A) following COVID-19 have been described. However, MIS-A in pregnancy is an extremely rare presentation that can cause a huge diagnostic dilemma to caregivers. We describe the successful management of a pregnant woman with MIS-A following SARS-CoV-2 infection.
Thyroid Hormone Changes in the Northern Area of Tianjin during the COVID-19 Pandemic
Authors: Weiwei Dong , Bei Wu , Hong Wang , Cailan Wu , Hailin Shao , Donghong Xu , Xiaolai Wang , Zhaohu Hao , Shijun Li , Jian Tan , Qiang Jia
Published: January 2022

Purpose. This study aimed to determine whether and how stress-induced thyroid hormone changes occur during the COVID-19 pandemic in the northern area of Tianjin. Methods. This study comprised two groups of study subjects in Tianjin: before (2019) and during (2020) the COVID-19 outbreak. Subjects were included if they had FT3, FT4, and TSH concentrations and thyroid TPOAb or TgAb information available. People who were pregnant, were lactating, or had mental illness were excluded. We used propensity score matching to form a cohort in which patients had similar baseline characteristics, and their anxiety level was measured by the Hamilton Anxiety Rating Scale (HAMA). Results. Among the 1395 eligible people, 224 in Group A and 224 in Group B had similar propensity scores and were included in the analyses. The detection rate of abnormal thyroid function was decreased in pandemic Group B (69.2% vs. 93.3%, χ2 = 42.725,

p
<
0.01

), especially for hypothyroidism (14.29% vs. 35.71%, χ2 = 27.429,

p
<
0.01

) and isolated thyroid-related antibodies (25.89% vs. 38.39%, χ2 = 8.023,

p
<
0.01

). The level of FT4 (z = −2.821,

p
<
0.01

) and HAMA score (7.63 ± 2.07 vs. 5.40 ± 1.65, t = 16.873,

p
<
0.01

) went up in Group B; however, TSH (z = −5.238,

p
<
0.01

), FT3 (z = −3.089,

p
=
0.002

), TgAb (z = −11.814,

p
<
0.01

), and TPOAb (z = −9.299,

p
<
0.01

) were lower, and HAMA was positive with FT3 (r = 0.208,

p
<
0.01

) and FT4 (r = 0.247,

p
<
0.01

). Conclusion. People in the northern area of Tianjin during the COVID-19 outbreak were at an increased risk of higher FT4, lower FT3, and lower TSH. The HAMA scores increased in emergency situations and were positively correlated with the levels of FT3 and FT4.
“Ganhar as coisas na maciota”: argumentação e retórica nas conversações online sobre as cotas raciais nas universidades
Authors: Belin Luciane Leopoldo , Rizzotto Carla Candida , Hoshino Camilla de Azevedo Pinheiro , Marioto Djiovanni Jonas França , Liebel Vitor Adriano
Published: January 2022

Este artigo apresenta uma reflexão sobre a discussão acerca da política de cotas raciais no Brasil. Com o objetivo de verificar de que forma os argumentos em torno da ação afirmativa se relacionam com as estratégias retóricas mobilizadas para sua expressão, a pesquisa é orientada pelo seguinte questionamento: sob quais condições comunicativas as opiniões dos indivíduos contrários e favoráveis às cotas raciais nas universidades se formam e se expressam nas conversações online? O corpus é composto por 4.333 comentários postados nas redes sociais YouTube, Facebook e Twitter, analisados com base em um livro de códigos, cujas variáveis (tema da conversação, posicionamento do comentário, argumentos e estratégias retóricas) são traçadas a partir da perspectiva da retórica e da deliberação.
Uma crítica sobre os processos midiáticos de exclusão
Authors: Leite Andrea Limberto
Published: January 2022

Resenha do livro SOARES, R. L. Sutileza e grosseria da exclusão nas mídias. São Paulo: Alameda, 2020.
Comunicação libertadora no século XXI
Authors: Lima Venício A. de
Published: January 2022

Paulo Freire tem alguma contribuição a oferecer ao campo de estudos da comunicação nos nossos dias? Neste artigo, fazemos uma exaustiva leitura da obra de Freire, desde a sua visão da natureza humana, que inclui a comunicação como realidade existencial e ontológica, passando pela comunicação nas suas dimensões relacional e política. Fazemos também um levantamento das manifestações de Freire sobre comunicação após a publicação dos textos fundadores; da posição crítica de estudiosos da comunicação no Brasil e no exterior e, finalmente, oferecemos uma avaliação da contribuição de Freire na perspectiva de sua prática da liberdade alongada para a pesquisa da comunicação no século XXI.
sala de aula invertida e o lúdico no ensino remoto de italiano: atividades propostas
Authors: Borraz Cleide Giacomelli , Anastacio Silva Mellina , Ambrosini Telmo , Bunn Daniela
Published: January 2022

Este artigo tem como objetivo apresentar as propostas de atividades que possibilitaram a interação dos alunos inscritos no projeto de extensão Italiano per Tutti, realizado em modalidade remota, durante dois semestres. O curso ofertado foi dividido entre aulas síncronas, via plataforma Zoom, e aulas assíncronas, construídas e disponibilizadas no Ambiente Virtual Moodle. As aulas abordaram, além de noções básicas da língua italiana, temáticas (inter)culturais. Os princípios norteadores basearam-se nas Metodologias Ativas (VALENTE, 2014), com ênfase na Sala de Aula Invertida (BERGMANN, 2016; LACERDA, 2018) e na utilização do lúdico (PESSOLANO, 2018) a fim de que as atividades propostas pudessem instigar os alunos a participarem de maneira mais ativa do processo de aprendizagem (SILVA, 2004). Buscou-se evidenciar tais atividades visando a elaboração e a utilização na prática, bem como a reflexão sobre a importância do lúdico no ensino remoto.
A tradução de referências culturais
Authors: Asensio Roberto Mayoral
Published: January 2022

Este trabalho apresenta uma reflexão de conjunto sobre as numerosas contribuições elaboradas para o estudo da tradução das referência culturais, desde Fiódorov (1953) até os últimos trabalhos publicados (Leppihalme 1997; Mayoral e Muñoz 1997; Cartagena 1998; Katan 1999). As diferentes contribuições têm origem em disciplinas e perspectivas diversas (estruturalismo, estilística diferencial, funcionalismo em tradução, pragmática, estudos comunicativos, cognitivismo, estudos literários...), o que torna bastante difícil unificá-las num panorama global: as diferenças conceituais e de denominação são muito acentuadas, mesmo quando o que está sendo estudado é o mesmo fenômeno. Quando o foco são as possíveis soluções de tradução — procedimentos expressivos e estratégias de solução —, o problema se complica ainda mais.
Reflexões sobre o papel do Outro nos estudos da tradução no Brasil
Authors: Stein Timur
Published: January 2022

A alteridade está intimamente ligada à atividade tradutória que inevitavelmente entra em contato com línguas, culturas e visões da realidade alheias. Portanto, não surpreende que a relação que se estabelece entre as culturas por via de tradução seja uma matéria de discussão dos estudos da tradução. O que motiva o presente trabalho é a constatação de que ela seja particularmente frutífera no Brasil. O seu objetivo consiste em examinar diferentes conceitos teóricos que poderiam sugerir uma noção da alteridade como elemento enriquecedor. Para isso, nos aproximaremos da tradução antropofágica de Haroldo de Campos, a abordagem psicanalítica de Maria Paula Frota e Rosemary Arrojo, assim como de uma proposta de Mauricio Mendonça Cardozo que entende a tradução como espaço liminar no qual ocorre o encontro com o Outro.
A versão encantada da pós-modernidade
Authors: Leonel Mauro de Mello , Mesquita Maira
Published: January 2022

O livro em epígrafe tem como objetivo principal relatar com rigor cronológico as origens das versões de pós-modernidade ("não como idéia, mas como fenômeno"), remontando ao modernismo. Numa abordagem incomum o autor percorre, no tempo e nas circunstâncias, as dimensões estéticas, históricas e políticas da express.
Os horários fora de lugar – ritmos biológicos e literatura
Authors: Figueiredo Muara Kizzy
Published: January 2022

Este trabalho analisa a relação existente entre personagens e ambiente e objetiva investigar como, supostamente, se deu a implantação no Brasil do século XIX dos ritmos sociais europeus, tendo em vista os ritmos biológicos da população brasileira (em termos coletivos) – adaptada ao ambiente tropical. Para tal estudo, foram analisados alguns textos literários do período (em especial a obra de Machado de Assis e Eça de Queirós) - visando identificar menções aos horários de sono, refeições, atividades sociais e aspectos do sono; bem como a leitura de autores contemporâneos que discutem a construção de identidades nacionais – em especial no Brasil – e ainda; autores que investigam a temática do tempo – seja em termos cronológicos, psicológicos e biológicos.
Time and well¬being
Authors: Levine Robert
Published: January 2022

This paper examines the impact of temporal experience—time use, conceptions of time and temporal norms—on happiness and well-being and suggests public policies to enhance these experiences. First, it reviews literature concerning the interrelationships of time, money and happiness. Second, it reviews data and issues concerning the use of work and non-work hours around the world. Third, it describes a broader range of temporal issues to be considered in policymaking decisions, e.g. clock versus event time-keeping, monochronic versus polychronic approaches, the definition of wasted time, the pace of life, and temporal orientation. Finally, suggestions are of ered for the formulation of time-use policies intended to increase individual and collective happiness. It is a virtual truism that the way we use our time is the way we live our lives. Our time is our most valuable possession. Much of this time, however, is controlled by others, ranging from our employers to our closest family members. It is also clear that there are profound dif erences-- individual, socio-economic, cultural and national--in the degree to which people hold control over their own time (e.g., LEVINE, 1997; LEE, et al., 2007). It may be argued that public policies are needed to protect the “temporal rights” of individuals, particularly those who are most vulnerable to exploitation. This paper was sparked by an ambitious large-scale project in which I had the opportunity to participate. The project was initiated in the Spring of 2012 following a United Nations resolution, adopted unanimously by the General Assembly, placing “happiness” on the global agenda. The nation of Bhutan was asked to convene an interdisciplinary group of international “experts” to craft recommendations for policies to raise worldwide happiness; more specifically, to develop a “new paradigm for world development.” Bhutan, a small, landlocked, relatively poor Himalayan nation, was chosen for this task because of its pioneering Gross National Happiness (GNH) project. “Progress,” the GNH designers declared, “should be viewed not only through the lens of economics but also from spiritual, social, cultural and ecological perspectives.” Happiness and development, in other words, depend on more than growth and the accumulation of money. England, Canada and other countries and country-level organizations have subsequently followed Bhutan’s lead and established GNH measures of their own (LEVINE, 2013). One of the nine core domains of Bhutan’s GNH index is “time use,” which comprised my section of the report. The present paper draws heavily on that report and the insights that research of ered me. I will address four major sets of issues: I. The inter-relationships of time, money and happiness. Most importantly, what is the relevance of time use to well-being and happiness? II. Time Use: Work hour issues and policies. III. Other temporal factors that need to be considered when formulating policies to increase happiness. IV. Suggestions for policymaking: The call for a “Temporal Bill of Rights.”