A roadmap for improving data quality through standards for collaborative intelligence in human-robot applications by Shakra Mehak, Shakra Mehak, Inês F. Ramos, Keerthi Sagar, Aswin Ramasubramanian, John D. Kelleher, Michael Guilfoyle, Gabriele Gianini, Ernesto Damiani, Maria Chiara Leva

“…This study presents the challenges of data quality in CI applications within industrial environments, with two use cases that focus on the collection of data in Human-Robot Interaction (HRI). …”
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MBLSTM is a contextual interaction refined method for time series prediction by Weihan Qiu, Fangjie Zhu, Tianyong Hao, Maojie Wang, Runyue Huang

“…However, the adequacy of the existing methods for contextual information interaction is still insufficient when dealing with a longer memory need in clinical data modelling. …”
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Spatial data infrastructures and Geography learning by Javier Álvarez Otero, María Luisa de Lázaro y Torres

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Spatial data infrastructures and Geography learning by Javier Álvarez Otero, María Luisa de Lázaro y Torres

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Predictive Modeling of Climate-Driven Crop Yield Variability Using DSSAT Towards Sustainable Agriculture by Safa E. El-Mahroug, Ayman A. Suleiman, Mutaz M. Zoubi, Saif Al-Omari, Qusay Y. Abu-Afifeh, Heba F. Al-Jawaldeh, Yazan A. Alta’any, Tariq M. F. Al-Nawaiseh, Nisreen Obeidat, Shahed H. Alsoud, Areen M. Alshoshan, Fayha M. Al-Shibli, Rakad Ta’any

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Learning Innovations Through Exploration and Exploitation in Russian Regions: A Nonlinear Panel Data Interaction Model by Yegor Leonidovich Domnich

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Identification of potential insect ecological interactions using a metabarcoding approach by Nicole D. Borsato, Katherine Lunn, Nina R. Garrett, Alejandro José Biganzoli-Rangel, Daniel Marquina, Dirk Steinke, Robin Floyd, Elizabeth L. Clare

“…Our data reveals hundreds of potential ecological interactions and establishes generalized methods which can be applied across arthropod host taxa with recommendations on the appropriate markers in different systems. …”
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Prediction of Human Papillomavirus-Host Oncoprotein Interactions Using Deep Learning by Sheila Santa, Samuel Kojo Kwofie, Kwasi Agyenkwa-Mawuli, Osbourne Quaye, Charles A Brown, Emmanuel A Tagoe

“…This study aimed to develop a deep learning model to predict interactions between HPV and host proteins. Method: To achieve this, available HPV and host protein interaction data was retrieved from the protocol of Eckhardt et al and used to train a Recurrent Neural Network algorithm. …”
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Use of innovative digital technologies in the sphere of remote interaction of industrial structures by E. S. Belyaeva, A. Yu. Ershov

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Developing Preservice Teachers' Design Thinking Mindset Using Interactive Technology by Areej ElSayary

“…This study aims to pilot the use of interactive technology in developing preservice teachers' design thinking mindsets. …”
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Protein-protein interaction prediction using bidirectional GRUs with explicit ensemble. by Qiuhong Lan, Zhongtuan Zheng, Zhen Tang, Xuehua Qiu, Zhixiang Yin

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Possibilities of using econometrical methods in studying of interregional interactions of migration in transportation by A. A. Bychkova

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Mapping Hsp104 interactions using cross‐linking mass spectrometry by Kinga Westphal, Karolina Michalska, Andrzej Joachimiak, Lukasz A. Joachimiak

“…Here, we explore how cross‐linking mass spectrometry (XL‐MS) can be used to interpret changes in conformation induced by ATP in Hsp104 and how a substrate may interact with Hsp104. …”
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A Framework for Improving Accessibility of Serious Games in Handheld Augmented Reality Based on User Interaction Data by Matea Žilak, Željka Car

“…An experiment was conducted with people with disabilities and people of different ages using the established framework. The focus of the experiment results analysis in this paper is on the evaluation of interaction mechanisms adapted to users based on their interaction data and preferences. …”
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An Efficient Communication Protocol for Real-Time Body Sensor Data Acquisition and Feedback in Interactive Wearable Systems by Armands Ancans, Modris Greitans, Sandis Kagis

“…We developed a prototype interactive jacket with nine sensor/actuator nodes connected via three wires for power supply and data transmission to a wireless gateway. …”
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Analysis of metabolomics and transcriptomics data to assess interactions in microalgal co-culture of Skeletonema marinoi and Prymnesium parvum. by Mahnoor Zulfiqar, Anne-Susann Abel, Emanuel Barth, Kristy Syhapanha, Remington Xavier Poulin, Sassrika Nethmini Costa Warnakulasuriya Dehiwalage, Georg Pohnert, Christoph Steinbeck, Kristian Peters, Maria Sorokina

“…As a growth indicator, the photosynthetic potential, measured via fluorescence, suggested chemical interaction between S. marinoi and P. parvum. Using Liquid Chromatography-Mass Spectrometry (LC-MS) data, we identified 346 and 521 differentially produced features in the endo- and exometabolome of S. marinoi and P. parvum, respectively. …”
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An Interpretable Machine Learning Framework for Analyzing the Interaction Between Cardiorespiratory Diseases and Meteo-Pollutant Sensor Data by Vito Telesca, Maríca Rondinone

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Genome-wide association data reveal a global map of genetic interactions among protein complexes. by Gregory Hannum, Rohith Srivas, Aude Guénolé, Haico van Attikum, Nevan J Krogan, Richard M Karp, Trey Ideker

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Data-driven thermal safety threshold analysis of friction component based on macro-micro interaction model by Jianpeng Wu, Ao Ding, Chengbing Yang, Hanshu Zhang, Liyong Wang, Heyan Li

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Estimating contrasting soil moisture-precipitation feedbacks across global landmass using data from the Soil Moisture Active Passive satellite mission by Joshua Taylor, Guido Salvucci

“…Our methodology statistically measures the interaction between morning soil moisture and subsequent probability of precipitation using the Granger Causality approach, with global data from remotely sensed estimates of soil moisture from the Soil Moisture Active Passive (SMAP) and Advanced Microwave Scanning Radiometer 2 (AMSR2) instruments. …”
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