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Relevant bibliographies by topics / Sleep mode

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Academic literature on the topic 'Sleep mode'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Sleep mode"

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Jayakumar, Hrishikesh, Arnab Raha, and Vijay Raghunathan. "Sleep-Mode Voltage Scaling." ACM Transactions on Embedded Computing Systems 16, no. 1 (2016): 1–25. http://dx.doi.org/10.1145/2950054.

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Igrec, Dalibor, Jože Hebar, and Amor Chowdhury. "ENERGY MANAGEMENT IN MICROPROCESSOR-DRIVEN CIRCUIT DESIGN USING SLEEP MODES." Journal of Energy Technology 17, no. 3 (2025): 11–25. https://doi.org/10.18690/jet.17.3.11-25.2024.

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The article explores the important significance of sleep mode in the design of microprocessorcentric electronic devices, emphasising energy efficiency, device longevity and environmental sustainability. Sleep mode enables devices to enter low-power states during periods of inactivity, conserving energy and extending battery life. Various levels of sleep modes are examined, ranging from light to deep sleep, each with unique power savings and system responsiveness advantages.1 The article also presents a case study involving an electronic circuit controlling sensors, actuators, LTE, WiFi and a g

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Indraganti, Madhavi, Farsana Kutty, Reem Ali, Lulwa Al Noaimi, Saaeda Al-Bader, and Maryam Adel Al Mulla. "OCCUPANT PERCEPTION OF THERMAL COMFORT IN SLEEP ENVIRONMENTS IN QATAR." Journal of Engineering Research [TJER] 18, no. 2 (2022): 137–45. http://dx.doi.org/10.53540/tjer.vol18iss2pp137-145.

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A thermal comfort field survey in sleep environments in winter and spring seasons in Qatar collected 833 sets of objective and subjective thermal and sleep quality responses before going to bed and after getting up. The subjects felt cooler sensations most of the time, preferred warmer sensations and the sleep environments are considered comfortable overall. Griffiths comfort temperature (Tc) was 24.3 ˚C and 20.2 ˚C in FR and AC modes respectively. Subjects used air-conditioner (AC)s adaptively in heating mode in winter. In 82.7% cases in air-conditioned (AC) mode, the comfort temperature was

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Xiao, Zhu, Shuangchun Li, Xiaochun Chen, Dong Wang, and Wenjie Chen. "A Load-Balancing Energy Consumption Minimization Scheme in 5G Heterogeneous Small Cell Wireless Networks Under Coverage Probability Analysis." International Journal of Pattern Recognition and Artificial Intelligence 31, no. 07 (2017): 1759013. http://dx.doi.org/10.1142/s0218001417590133.

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Heterogeneous small cell networks (HSCN), as a promising paradigm to increase end-user data rates and improve the overall capacity, is expected to be a key cellular architecture in 5G wireless networks. However, energy consumed in HSCN is considerable due to the massive use of small cells. In this paper, we investigate the energy consumption issue which stems from the enormous number of running small cell base stations (SBSs) deploying in the HSCN. We first propose power consumption models so as to characterize the active state and the idle state of SBSs, respectively. Then two sleep modes for

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Veerappan Kousik, Nalliyanna Goundar, Yuvaraj Natarajan, Kallam Suresh, Rizwan Patan, and Amir H. Gandomi. "Improving Power and Resource Management in Heterogeneous Downlink OFDMA Networks." Information 11, no. 4 (2020): 203. http://dx.doi.org/10.3390/info11040203.

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In the past decade, low power consumption schemes have undergone degraded communication performance, where they fail to maintain the trade-off between the resource and power consumption. In this paper, management of resource and power consumption on small cell orthogonal frequency-division multiple access (OFDMA) networks is enacted using the sleep mode selection method. The sleep mode selection method uses both power and resource management, where the former is responsible for a heterogeneous network, and the latter is managed using a deactivation algorithm. Further, to improve the communicat

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Indraganti, Madhavi. "Investigation of thermal comfort in bedrooms in Qatar." E3S Web of Conferences 396 (2023): 01070. http://dx.doi.org/10.1051/e3sconf/202339601070.

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Good quality sleep is essential for overall health and productivity of human beings. In a field survey in bedrooms in Qatar, 833 sets of occupant responses on thermal comfort and sleep quality before going to bed and after getting up were made together with the corresponding environmental measurements and occupant’s clothing and bedding information. Subject’s thermal sensation was on the cooler side with a preference for warmer environments mostly. People generally felt comfortable, with Griffiths comfort temperature (Tc) being 24.3 °C. and 20.2 °C in free-running (FR) and air-conditioned (AC)

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Vacca, Irene. "Vibrio enters 'sleep mode' to survive." Nature Reviews Microbiology 15, no. 9 (2017): 515. http://dx.doi.org/10.1038/nrmicro.2017.102.

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Farrahi, Amir H., Gustavo E. Téllez, and Majid Sarrafzadeh. "Exploiting Sleep Mode for Memory Partitioning and Other Applications." VLSI Design 7, no. 3 (1998): 271–87. http://dx.doi.org/10.1155/1998/50491.

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Sleep mode operation and exploiting it to minimize the average power consumption are of great importance in modern VLSI circuits. In general, sleep mode refers to the mode in which part(s) of the system are idle. In this paper, we study the problem of partitioning a circuit according to the activity patterns of its elements such that circuit elements with similar activity patterns are packed into the same partition. Then a partition can be placed in sleep mode during the time intervals all elements contained in that partition are idle. We formulate the partitioning problem to exploit sleep mod

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Kim, Taehwa, Seungjin Lee, Hyungwoo Choi, Hong-Shik Park, and Junkyun Choi. "An Energy-Efficient Multi-Level Sleep Strategy for Periodic Uplink Transmission in Industrial Private 5G Networks." Sensors 23, no. 22 (2023): 9070. http://dx.doi.org/10.3390/s23229070.

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This paper proposes an energy-efficient multi-level sleep mode control for periodic transmission (MSC-PUT) in private fifth-generation (5G) networks. In general, private 5G networks meet IIoT requirements but face rising energy consumption due to dense base station (BS) deployment, particularly impacting operating expenses (OPEX). An approach of BS sleep mode has been studied to reduce energy consumption, but there has been insufficient consideration for the periodic uplink transmission of industrial Internet of Things (IIoT) devices. Additionally, 5G New Reno’s synchronization signal interval

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Zheng, Xiangwei, Xiaochun Yin, Xuexiao Shao, Yalin Li, and Xiaomei Yu. "Collaborative Sleep Electroencephalogram Data Analysis Based on Improved Empirical Mode Decomposition and Clustering Algorithm." Complexity 2020 (June 13, 2020): 1–14. http://dx.doi.org/10.1155/2020/1496973.

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Sleep-related diseases seriously affect the life quality of patients. Sleep stage classification (or sleep staging), which studies the human sleep process and classifies the sleep stages, is an important reference to the diagnosis and study of sleep disorders. Many scholars have conducted a series of sleep staging studies, but the correlation between different sleep stages and the accuracy of classification still needs to be improved. Therefore, this paper proposes an automatic sleep stage classification based on EEG. By constructing an improved empirical mode decomposition and K-means experim

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Dissertations / Theses on the topic "Sleep mode"

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Baldini, Federico. "Ottimizzazione della scansione wifi: Sleep Mode." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5014/.

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Twayej, Wasan Adnan. "Network performance evaluation for M2M WSN and SDN based on IOT applications." Thesis, Brunel University, 2018. http://bura.brunel.ac.uk/handle/2438/17020.

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This thesis introduces different mechanisms for energy efficiency in Wireless Sensor Networks (WSNs) along with maintaining high levels of Network Performance (N.P) with reduced complexity. Firstly, a Machine-to-Machine (M2M) WSN is arranged hierarchically in a fixed infrastructure to support a routing protocol for energy-efficient data transmission among terminal nodes and sink nodes via cluster heads (CHs). A Multi-Level Clustering Multiple Sinks (MLCMS) routing protocol with the IPv6 protocol over Low Wireless Personal Area Networks (6LoWPAN) is proposed to prolong network lifetime. The sim

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Lin, Yu. "A Two-Mode Synchronous Buck Converter for Low-Power Devices with the Sleep Mode." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/72870.

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The power consumption of smart camera in car black box varies significantly between light load and heavy load. The high efficiency voltage regulator is necessary in prolong the life of smart camera battery. Since the smart camera only recording the video when car is driving, the most time of the smart camera works in the sleep mode. Hence the light load efficiency is important in this application, however, conventional buck converter usually have high efficiency at heavy load but poor efficiency at light load. To increase the light load efficiency of buck converter, this research continues Yea

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Fiammengo, Martina. "Sleep mode scheduling technique for energy saving in TDM-PONs." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-31062.

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Nowadays energy efficiency of telecommunication networks is receiving more attention than in the past for natural reasons. The situation is critical especially for access networks that typically include many end-user devices that consume a lot of energy. This thesis proposes a novel sleep mode technique for TDM-PONs that turns off the ONUs (placed at the customer premises) when certain traffic conditions are verified. The objective is to achieve an improved energy efficiency without impacting too much the Quality of Service perceived by end-users. The whole operation is managed at the OLT (pl

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ARAUJO, Ivanes Lian Costa. "Algoritmo de Sleep Mode para redes LTE em conectividade dual." Universidade Federal do Pará, 2015. http://repositorio.ufpa.br/jspui/handle/2011/7491.

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Submitted by camilla martins (camillasmmartins@gmail.com) on 2017-01-27T17:41:03Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertacao_AlgoritmoSleepMode.pdf: 1544032 bytes, checksum: f8b4ae8a434371d60fab4dac15eef84f (MD5)<br>Approved for entry into archive by Edisangela Bastos (edisangela@ufpa.br) on 2017-01-30T14:11:21Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertacao_AlgoritmoSleepMode.pdf: 1544032 bytes, checksum: f8b4ae8a434371d60fab4dac15eef84f (MD5)<br>Made available in D

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Peters, Henning [Verfasser]. "Default Mode Network Changes during NREM Sleep – a Combined EEG/fMRI Study / Henning Peters." München : Verlag Dr. Hut, 2011. http://d-nb.info/1018981756/34.

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van, Coppenhagen Robert Lindenberg, and robert vancoppenhagen@dsto defence gov au. "On the Coordinated Use of a Sleep Mode in Wireless Sensor Networks: Ripple Rendezvous." RMIT University. Electrical and Computer Engineering, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070122.145741.

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It is widely accepted that low energy consumption is the most important requirement when designing components and systems for a wireless sensor network (WSN). The greatest energy consumer of each node within a WSN is the radio transceiver and as such, it is important that this component be used in an extremely energy e±cient manner. One method of reducing the amount of energy consumed by the radio transceiver is to turn it off and allow nodes to enter a sleep mode. The algorithms that directly control the radio transceiver are traditionally grouped into the Medium Access Control

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Al-Baadani, Faris. "A novel location energy sleep mode saving algorithm (LESMS) based on clustering for WSN." Thesis, Anglia Ruskin University, 2017. http://arro.anglia.ac.uk/703767/.

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Due to sensors being distributed in an ad-hoc manner and their ability to sense different environmental conditions, Wireless Sensor Networks (WSNs) have become very popular in various real time applications and Internet of Things (IoT). The WSN is widely used in monitoring harsh environments and taking decisions on the basis of collected reports. Clustering in WSNs is a proven technique to avoid redundant transmissions to the sink. This allows for better utilisation of scarce network resources such as energy. Most of the clustering algorithms proposed in the literature involve a high number of

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Al-Baadani, Faris. "A novel location energy sleep mode saving algorithm (LESMS) based on clustering for WSN." Thesis, Anglia Ruskin University, 2017. https://arro.anglia.ac.uk/id/eprint/703767/1/Al-Baadani_2017.pdf.

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Due to sensors being distributed in an ad-hoc manner and their ability to sense different environmental conditions, Wireless Sensor Networks (WSNs) have become very popular in various real time applications and Internet of Things (IoT). The WSN is widely used in monitoring harsh environments and taking decisions on the basis of collected reports. Clustering in WSNs is a proven technique to avoid redundant transmissions to the sink. This allows for better utilisation of scarce network resources such as energy. Most of the clustering algorithms proposed in the literature involve a high number of

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Tully, Carolin [Verfasser]. "Effects of sleep deprivation on resting state networks: The integrity of the default mode network and its anticorrelated network following a night of partial sleep deprivation / Carolin Tully." München : Verlag Dr. Hut, 2011. http://d-nb.info/1014848393/34.

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Books on the topic "Sleep mode"

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Mirzoian, Silva, and Silva Mirzoian. Jump-start your life: 7 steps to waking up from "the sleep-walking mode". AnJak Communications, Inc., 2002.

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Kertesz, Rona S. Information processing in sleep-onset insomnia: A test of the neurocognitive model. Brock University, Dept. of Psychology, 2009.

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Robotastic! Sleep Mode. Sari Karplus, 2023.

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Robotastic! Sleep Mode. Sari Karplus, 2023.

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Robotastic! Sleep Mode. Sari Karplus, 2023.

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Entering Sleep Mode. Shoestring Press, 2007.

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Williams, Ian Patrick. The Big Sleep Mode. R. R. Bowker, 2019.

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Gutierrez, Karla. House Hunting Checklist Sleep Mode on Funny Nap Love Napping Sleeping. Independently Published, 2021.

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Gutierrez, Karla. Garden Planting Task Sleep Mode on Funny Nap Love Napping Sleeping. Independently Published, 2021.

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HURTADO, Carmella. Password Tracker Narrow: Sleep Mode on Funny Nap Love Napping Sleeping. Independently Published, 2021.

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Book chapters on the topic "Sleep mode"

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Weik, Martin H. "sleep mode." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17593.

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Diederichs, Frederik, Amina Hermanns, David Lerch, and Jutta Hild. "From Sleep Mode to Drive Mode: Take-Over after Sleep Takes Minutes not Seconds." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94159-7_35.

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Meng, Li, Su Han, Kang Yu, and Yun Chao. "Research on Sleep Mode in WANDAS." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27334-6_16.

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Jin, Shunfu, and Wuyi Yue. "Speed Switch and Multiple-Sleep Mode." In Resource Management and Performance Analysis of Wireless Communication Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7756-7_16.

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Sajidha, S. A., M. Sanjay, Pillaram Manoj, et al. "Human Stress Detection in Sleep Mode Compared with Non-sleep Mode Using Machine Learning Algorithms." In Springer Proceedings in Mathematics & Statistics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-51338-1_42.

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Kim, Beomjoon, Jaesung Park, and Yong-Hoon Choi. "Power Saving Mechanisms of IEEE 802.16e: Sleep Mode vs. Idle Mode." In Frontiers of High Performance Computing and Networking – ISPA 2006 Workshops. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11942634_35.

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Park, Jaesung, Beomjoon Kim, and Iksoon Hwang. "Handover-Specific Optimization for IEEE 802.16e Sleep Mode." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-69429-8_59.

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Jin, Shunfu, and Wuyi Yue. "Sleep Mode for Power Saving Class Type I." In Resource Management and Performance Analysis of Wireless Communication Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7756-7_2.

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Jin, Shunfu, and Wuyi Yue. "Sleep Mode for Power Saving Class Type III." In Resource Management and Performance Analysis of Wireless Communication Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7756-7_4.

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Jin, Shunfu, and Wuyi Yue. "Sleep Mode for Power Saving Class Type II." In Resource Management and Performance Analysis of Wireless Communication Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7756-7_3.

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Conference papers on the topic "Sleep mode"

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Nagele, Anna Nolda. "Sleep-Mode." In TEI '21: Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction. ACM, 2021. http://dx.doi.org/10.1145/3430524.3443689.

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Deger Wehr, M., S. More, C. Woodford, M. Arzt, C. Schoebel, and H. Woehrle. "Impact of mode of PAP therapy set-up on PAP-therapy outcomes." In Sleep and Breathing Conference 2025 abstracts. European Respiratory Society, 2025. https://doi.org/10.1183/23120541.sleepandbreathing-2025.69.

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Onireti, Oluwakayode, Abdelrahim Mohamed, Haris Pervaiz, and Muhammad Imran. "Analytical approach to base station sleep mode power consumption and sleep depth." In 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2017. http://dx.doi.org/10.1109/pimrc.2017.8292518.

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Farrahi, Amir H., Gustavo E. Téllez, and Majid Sarrafzadeh. "Memory segmentation to exploit sleep mode operation." In the 32nd ACM/IEEE conference. ACM Press, 1995. http://dx.doi.org/10.1145/217474.217503.

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Amir H. Farrahi. "Memory Segmentation to Exploit Sleep Mode Operation." In 32nd Design Automation Conference. ACM, 1995. http://dx.doi.org/10.1109/dac.1995.250060.

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Saifutdinova, E., V. Gerla, L. Lhotska, J. Koprivova, and P. Sos. "Sleep spindles detection using Empirical Mode Decomposition." In 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). IEEE, 2015. http://dx.doi.org/10.1109/iwcim.2015.7347063.

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Guo, Xiaoda, Guochu Shou, Qiaosheng Xiao, Yihong Hu, and Zhigang Guo. "Toward green PON with adaptive sleep mode." In 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC 2012). IEEE, 2012. http://dx.doi.org/10.1109/icnidc.2012.6418740.

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Woo Jin Jung, Hyung Joo Ki, Tae-Jin Lee, and Min Young Chung. "Adaptive sleep mode algorithm in IEEE 802.16e." In 2007 Asia-Pacific Conference on Communications. IEEE, 2007. http://dx.doi.org/10.1109/apcc.2007.4433476.

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Saker, Louai, and Salah Eddine Elayoubi. "Sleep mode implementation issues in green base stations." In 2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2010). IEEE, 2010. http://dx.doi.org/10.1109/pimrc.2010.5671926.

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Jin, Meihua, Ji-Young Jung, Dara Ron, Sengly Muy, and Jung-Ryun Lee. "Energy-Efficient Sleep Mode Adjustment Considering GoP Structure." In 2019 International Conference on Information Networking (ICOIN). IEEE, 2019. http://dx.doi.org/10.1109/icoin.2019.8718129.

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Reports on the topic "Sleep mode"

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Ramachandran, Srinivasan. Better workers don't need more hours, they need decent sleep. Edited by Piya Srinivasan and Chris Bartlett. Monash University, 2024. http://dx.doi.org/10.54377/b499-e5fa.

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Penman, Olivia, Andrew Sheridan, Nic Badcock, Georgia Horsburgh, and Carmela Pestell. Could local sleep explain the occurrence of attentional lapses in primary school-aged children? A scoping review protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.12.0074.

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Review question / Objective: The current review aims to describe the literature on the relationship between local sleep and attentional lapses in neurotypical children or children with ADHD and how this can be applied to inform our understanding of poor attention under conditions of low arousal and increased sleep pressure. The main/primary question is, what is known from the existing literature about the relationship between local sleep and attentional lapses in children? In answering this primary question, we also want to know under what conditions is local sleep occurring? For example, does

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O'Donnell, Christopher P. Sleep Resilience, Comorbid Anxiety, and Treatment in a Muring Model of PTSD. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada580131.

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O'Donnell, Christopher P. Sleep Resilience, Comorbid Anxiety, and Treatment in a Murine Model of PTSD. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada603152.

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Liu, Zhen, Zhizhen Lv, Jiao Shi, Shuangwei Hong, Huazhi Huang, and Lijiang Lv. Efficacy of traditional Chinese exercise in patients with chronic fatigue syndrome: a protocol for a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.9.0022.

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Review question / Objective: Chronic fatigue syndrome (CFS) is a disease in which fatigue strikes or lasts for more than 6 months, accompanied by pain, sleep disturbance, anxiety, and depression. Moreover, it brings a heavy economic burden to society. Traditional Chinese exercises (TCEs) are a traditional Chinese medical treatment and have good efficacy on CFS, therefore, this systematic evaluation is to accurately evaluate the efficacy of TCEs on CFS. P: Patients with chronic fatigue syndrome. I: Traditional Chinese exercises. C: conventional exercise, acupuncture, physiotherapy, and other ph

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Gunzelmann, Glenn, Kevin A. Gluck, Hans P. Van Dongen, Robert M. O'Connor, and David F. Dinges. Neurobehaviorally Inspired ACT-R Model of Sleep Deprivation: Decreased Performance in Psychomotor Vigilance. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada452655.

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Czerwaty, Katarzyna, Karolina Dżaman, Krystyna Maria Sobczyk, and Katarzyna Irmina Sikrorska. The Overlap Syndrome of Obstructive Sleep Apnea and Chronic Obstructive Pulmonary Disease: A Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.11.0077.

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Review question / Objective: To provide the essential findings in the field of overlap syndrome of chronic obstructive pulmonary disease and obstructive sleep apnea, including prevalence, possible predictors, association with clinical outcomes, and severity compared to both chronic obstructive pulmonary disease and obstructive sleep apnea patients. Condition being studied: OSA is characterized by complete cessation (apnea) or significant decrease (hy-popnea) in airflow during sleep and recurrent episodes of upper airway collapse cause it during sleep leading to nocturnal oxyhemoglobin desatura

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Haubrich, Julia, Sarah Benz, Ullrich Isermann, et al. Leq+X - Lärmexposition, Ereignishäufigkeiten und Belästigung: Re-Analyse von Daten zur Belästigung und Schlafstörung durch Fluglärm an deutschen und Schweizer Flughäfen. Universitätsbibliothek der Ruhr-Universität Bochum, 2020. http://dx.doi.org/10.46586/rub.164.139.

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In this study, part of the data sets from 4 large Swiss and German aircraft noise impact studies are re-analysed using logistic multi-level regression models. The aim is to investigate the assumptions that the prediction of a) the percentage of persons highly annoyed by aircraft noise or b) the percentage of persons highly sleep disturbed by aircraft noise can be improved if (i) instead of the energy-equivalent continuous noise level alone, either additional or alternative, more frequency-based aircraft noise metrics and (ii) also airport-specific characteristics are used as predictors. The re

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Sierra, Ricardo, and Inder J. Ruprah. Mothers Are Right: Eat Your Vegetables And Keep Away From The Girls (Boys): Bullying Victimization Profile in the Caribbean. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0008446.

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About 29 percent of teenagers are bullied at school in the Caribbean. Victims of bullying are more lonely, sleep less, and have fewer friends than do their nonbullied peers. Although victims of bullying eat more frequently at fast food restaurants, they also experience more periods of hunger than do nonbullied children. Acting out with the goal of being considered a "cool" teenager does not work; even if adolescents frequently smoke cigarettes, bullies may still intimidate and harass them. The opposite is true for virgins. Good parenting can, however, make a difference in preventing a child fr

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Kulshreshtha, Poorvi, Osama Neyaz, Shahina Begum, Raj Kumar Yadav, and Kishore Kumar Deepak. Assessment of the efficacy and safety of the hyperbaric oxygen therapy on pain in patients with fibromyalgia: A systematic review and meta-analysis protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.10.0001.

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Abstract:

Review question / Objective: A few studies have addressed the efficacy of hyperbaric oxygen therapy in patients with fibromyalgia. However, these studies have been inconclusive so far. There is no graded evidence in the form of a systematic review or meta-analysis concerning the administration of hyperbaric oxygen therapy to patients with fibromyalgia. The proposed study would be carried out to assess the efficacy and safety of hyperbaric oxygen therapy in reducing pain in patients with fibromyalgia. Primary Objective: To compare the efficacy of HBOT with the standard conventional therapy in p

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