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My Caregiver the Cobot: Comparing Visualization Techniques to Effectively Communicate Cobot Perception to People with Physical Impairments

Max Pascher, Kirill Kronhardt, Til Franzen, Uwe Gruenefeld et al. • Sensors (2022)

Nowadays, robots are found in a growing number of areas where they collaborate closely with humans. Enabled by lightweight materials and safety sensors, these cobots are gaining increasing popularity in domestic care, where they support peo...

DOAJ Open Access (DOAJ) DOI: 10.3390/s22030755

Parental Birth-Related PTSD Symptoms and Bonding in the Early Postpartum Period: A Prospective Population-Based Cohort Study

Suzannah Stuijfzand, Susan Garthus-Niegel, Susan Garthus-Niegel, Susan Garthus-Niegel et al. • Frontiers in Psychiatry (2020)

The parent-infant bond following childbirth is an important facilitator of optimal infant development. So far, research has mainly focused on mother-infant bonding. Data on fathers are still sparse. Parental mental health, such as posttraum...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyt.2020.570727

Effect of companion and midwife presence during mother-infant skin-to-skin contact on breastfeeding and postpartum pain: A clinical trail

Seyedeh Saeedeh Mousavi, Shima Haghani, Fatemeh Harati Kabir, Maryam Keshavarz • Majallah-i Zanān, Māmā̓ī va Nāzā̓ī-i Īrān (2025)

Introduction: Skin-to-skin contact between mother and baby is very important in the first minutes after birth. Despite the great emphasis on its implementation, due to the lack of manpower and the numerous responsibilities of midwives, it i...

DOAJ Open Access (DOAJ) DOI: 10.22038/ijogi.2025.83361.6263

Data describing the poor outcome associated with a breast cancer diagnosis in the post-weaning period

Hanne Lefrère, Giuseppe Floris, Marjanka K. Schmidt, Patrick Neven et al. • Data in Brief (2021)

Postpartum breast cancer (PPBC) - which according to new data, can extend to 5–10 years after the birth - are estimated to represent 35–55% of all cases of breast cancer in women younger than 45 years. Increasing clinical evidence indicates...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.107354

Lifestyle interventions to maternal weight loss after birth: a systematic review

Pernille Kjaergaard Christiansen, Mette Maria Skjøth, Mette Juel Rothmann, Christina Anne Vinter et al. • Systematic Reviews (2019)

Abstract Background Over the past decades, there has been an increase in overweight and obesity in women of childbearing age, as well as the general population. Overweight and obesity are related to a later, increased risk of type 2 diabete...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13643-019-1186-2

Non-supersymmetric AdS from string theory

Zihni Kaan Baykara, Daniel Robbins, Savdeep Sethi • SciPost Physics (2023)

We construct non-supersymmetric $AdS_3$ solutions of the $\mathrm O(16)× \mathrm O(16)$ heterotic string. Most of the backgrounds have a classical worldsheet definition but are quantum string vacua in the sense that string loop corrections ...

DOAJ Open Access (DOAJ) DOI: 10.21468/SciPostPhys.15.6.224

Video-Based Deep Learning Approach for 3D Human Movement Analysis in Institutional Hallways: A Smart Hallway

Connor J. C. McGuirk, Natalie Baddour, Edward D. Lemaire • Computation (2021)

New artificial intelligence- (AI) based marker-less motion capture models provide a basis for quantitative movement analysis within healthcare and eldercare institutions, increasing clinician access to quantitative movement data and improvi...

DOAJ Open Access (DOAJ) DOI: 10.3390/computation9120130

A Space-Time Partial Differential Equation Based Physics-Guided Neural Network for Sea Surface Temperature Prediction

Taikang Yuan, Junxing Zhu, Wuxin Wang, Jingze Lu et al. • Remote Sensing (2023)

Sea surface temperature (SST) prediction has attracted increasing attention, due to its crucial role in understanding the Earth’s climate and ocean system. Existing SST prediction methods are typically based on either physics-based numerica...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs15143498

Development and validation of a predictive model for diabetic peripheral neuropathy with type 2 diabetes mellitus in Xinjiang, China

Asiguli Adili, Maihesumu Aikemu, Karanvir Singh Rana, Yihan Wei et al. • Scientific Reports (2025)

Abstract This study aims to identify risk factors associated with diabetic peripheral neuropathy (DPN) in patients with type 2 diabetesmellitus (T2DM) and to develop a predictive model to support clinical decision-making. A total of 1,001 p...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-19922-7

Memristor Synapse—A Device-Level Critical Review

Sridhar Chandrasekaran, Yao-Feng Chang, Firman Mangasa Simanjuntak • Nanomaterials (2026)

The memristor has long been known as a nonvolatile memory technology alternative and has recently been explored for neuromorphic computing, owing to its capability to mimic the synaptic plasticity of the human brain. The architecture of a m...

DOAJ Open Access (DOAJ) DOI: 10.3390/nano16030179