Objective: To assess the short-term efficacy and effectiveness of a six-week energy conservation course on fatigue impact, quality of life and self-efficacy for persons with multiple sclerosis (MS).
Methods: In this randomized controlled trial, we randomly assigned 169 persons with MS to an immediate intervention group or a delayed control group using a crossover design. The outcome measures: Fatigue Impact Scale, SF-36 Health Survey and Self-Efficacy for Performing Energy Conservation Strategies were measured before and after courses and no intervention control periods. We performed intent-to-treat analysis and compliers-only analyses using mixed effects analysis of variance models.
Results: Taking the energy conservation course had significant effects on reducing the physical and social subscales of Fatigue Impact Scale and on increasing the Vitality subscale of the SF-36 scores compared with not taking the course. Additional subscales were significant depending on methods of analyses. Self-Efficacy for Performing Energy Conservation Strategies Assessment increased significantly (P <0.05) postcourse compared to precourse.
Conclusions: Results support the efficacy and effectiveness of the energy conservation course to decrease fatigue impact, and to increase self-efficacy and some aspects of quality of life.
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http://dx.doi.org/10.1191/1352458505ms1198oa | DOI Listing |
Sensors (Basel)
December 2024
Hubei Province Engineering Technology Research Center for Construction Quality Testing Equipments, College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China.
With the widespread use of autonomous guided vehicles (AGVs), avoiding collisions has become a challenging problem. Addressing the issue is not straightforward since production efficiency, collision avoidance, and energy consumption are conflicting factors. This paper proposes a novel edge computing method based on vehicle edge intelligence to solve the energy-efficient collision-free machine/AGV scheduling problem.
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December 2024
College of AI/SW Convergence, Kyungnam University, 7 Gyeongnamdaehak-ro, Masanhappo-gu, Changwon 51767, Republic of Korea.
The proliferation of 5G networks has revolutionized wireless communication by delivering enhanced speeds, ultra-low latency, and widespread connectivity. However, in heterogeneous cloud radio access networks (H-CRAN), efficiently managing inter-cell interference while ensuring energy conservation remains a critical challenge. This paper presents a novel energy-efficient, dynamic enhanced inter-cell interference coordination (eICIC) scheme based on deep reinforcement learning (DRL).
View Article and Find Full Text PDFToxics
November 2024
The Dean's Office, Defense and Security University "Dr. Franjo Tuđman", 10000 Zagreb, Croatia.
Pollution can be broadly defined as the presence of contaminants or energy sources detrimental to ecosystems and human health. The human organism serves as a valuable indicator of ecosystem contamination. However, understanding physiological disorders and correlating specific contaminants with disease development is a complex and arduous task, necessitating extensive scientific research spanning years or even decades.
View Article and Find Full Text PDFMicroorganisms
November 2024
State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China.
Maize ( L.) is an important cereal crop species for food, feedstock and industrial material. Maize seeds host a suitable ecosystem for endophytic bacteria, facilitating seed germination and seedling growth.
View Article and Find Full Text PDFBiomedicines
December 2024
Third Department of Obstetrics and Gynecology, Attikon Hospital, Medical School, National and Kapodistrian University of Athens, 1 Rimini, 124 62 Athens, Greece.
: Endometriosis is characterized by the presence of endometrial tissue outside the uterus. Beyond medical treatment, surgical intervention is also a viable consideration. However, current guidelines do not clearly indicate whether laparoscopic cystectomy, ablative methods (CO laser vaporization, plasma energy), or sclerotherapy is the preferred option.
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