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Background: Sepsis management in the Intensive Care Unit (ICU) presents a significant challenge within contemporary healthcare. The primary challenge lies in ensuring the timely and appropriate utilization of antibiotics. Inappropriate antibiotic use in sepsis management can result in a multitude of adverse outcomes.

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A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor robustness of target path tracking for robotic control during maneuver. RS-DDPG algorithm is based on deep reinforcement learning (DRL) and designs a reward function to optimize the parameters of DDPG to achieve the required tracking accuracy and stability. A visual SLAM algorithm based on semantic segmentation and geometric information is proposed to address the issues of poor robustness and susceptibility to interference from dynamic objects in dynamic scenes for SLAM based on visual sensors.

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Stable Operation of Copper-Protected La(FeMnSi)H Regenerators in a Magnetic Cooling Unit.

ACS Appl Eng Mater

January 2025

Magnotherm Solutions GmbH, Pfungstädter Straße 102, 64297 Darmstadt, Germany.

Magnetic refrigeration leads the current commercialization efforts of ambient caloric cooling technologies, is considered among its peers most promising in terms of anticipated energy efficiency gain, and allows for complete elimination of harmful coolants. By now, functional magnetocaloric components (so-called regenerators) based on Mn-substituted and hydrogenated LaFeSi alloys are commercially available. However, this alloy system exhibits magnetostriction, is susceptible to fracture, oxidation, and does not passivate well, rendering it prone to failure and corrosion, particularly when using water as favorable heat exchange medium.

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Background: Recent research in the field of "Arts and Health" has demonstrated the beneficial impact of arts-based interventions on health and well-being across diverse populations. Recognizing their potential, especially in cases where conventional healthcare cannot address the multifaceted impact of conditions such as in Parkinson's disease (PD), our study advocates for an integrative approach in medical practice and neuroscience. We recommend incorporating learning environments from the design phase through long-term care.

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A case series on the basic concept and design of removable partial dentures: support and bracing considerations.

BMC Oral Health

January 2025

Department of Removable Prosthodontics, School of Dentistry, Aichi Gakuin University, 2-11 Suemori- dori, Chikusa-ku, Nagoya, Aichi, 464-8651, Japan.

Background: When designing removable partial dentures, maximizing the effectiveness of support and bracing is necessary to minimize denture movement. Therefore, it is essential to emphasize the importance of providing patients with appropriate, safe, and secure removable partial dentures and have clinicians rerecognize the concept and importance of support and bracing. This study aimed to present extension-base removable partial dentures through six specific clinical case series and describe the effect of support and bracing action on denture design, which is essential for denture movement minimization.

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