Ultra low-power UWB-RFID system for precise location-aware applications by Zhou, Yuan, Law, Choi Look, Xia, Jingjing

“…Power saving and precision localization is achieved by optimization of the circuit design for ultra short pulses as well as system architecture and operation. When 1 s sleep mode is incorporated with 0.72 ms active mode, the tag consumes on average 6.8 uA when pulsing at 3.3 MHz rate with 15.5 dBm peak transmit power. …”
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A cellular basis for mapping behavioural structure by El-Gaby, M, Harris, AL, Whittington, JCR, Dorrell, W, Bhomick, A, Walton, ME, Akam, T, Behrens, TEJ

“…These dynamics mirrored the abstract task structure both on-task and during offline sleep. Our findings suggest that schemata of complex behavioural structures can be generated by sculpting progress-to-goal tuning into task-structured buffers of individual behavioural steps.…”

Effect of residual soil depth on soil-water characteristic curve and unsaturated shear strength by Tikno, Nickanor

“…The percentage of fines plots clearly show the transition region between two layers which is denoted with steep gradient. Based on observation, convergence between upper and lower limits found in the percentage of fines plots of residual soils from Sedimentary Jurong Formation (SJF) and Bukit Timah Granite (BTG) is also observed in the AEV plots of respective soils. …”
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New techniques for searching differential trails in Keccak by Liu, Guozhen, Qiu, Weidong, Tu, Yi

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Three essays on corporate finance by Fu, Kangkang

“…Moreover, from the principal customers’ perspective, a higher level of environmental risk lowers a supplier firm’s probability of being selected relative to its industry peers by its potential customer. Conditional on an ongoing relationship with principal customers, supplier firms with high environmental risk have lower sales to principal customers and shorter relationship durations. …”
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Social network structure in autistic individuals: a systematic review by Lei, J, Qian, X, Kim, KM

“…Results indicate that autistic children experience greater isolation with more peripheral status and lower peer acceptance compared with their neurotypical peers. …”

From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models by Englhardt, Zachary, Ma, Chengqian, Morris, Margaret E., Chang, Chun-Cheng, Xu, Xuhai "Orson", Qin, Lianhui, McDuff, Daniel, Liu, Xin, Patel, Shwetak, Iyer, Vikram

“…We develop chain-of-thought prompting methods to generate LLM reasoning on how data pertaining to activity, sleep and social interaction relate to conditions such as depression and anxiety. …”
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Examining discrimination in home improvement financing (Home Mortgage Disclosure Act 2012–2016) and neighborhood health in the United States by Davis, Brigette A., Arcaya, Mariana C., Williams, David R., Metzger, Molly, Krieger, Nancy

“…Additionally, at the census tract level, home improvement loan denial rates are associated with usually getting less than 7 hours of sleep, which is associated with adverse health outcomes. …”
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Probabilistic Programming with Programmable Variational Inference by Becker, McCoy R., Lew, Alexander K., Wang, Xiaoyan, Ghavami, Matin, Huot, Mathieu, Rinard, Martin C., Mansinghka, Vikash K.

“…This makes it possible to concisely express many models, variational families, objectives, and gradient estimators from the machine learning literature, including importance-weighted autoencoders (IWAE), hierarchical variational inference (HVI), and reweighted wake-sleep (RWS). We implement our approach in an extension to the Gen probabilistic programming system (genjax.vi, implemented in JAX), and evaluate our automation on several deep generative modeling tasks, showing minimal performance overhead vs. hand-coded implementations and performance competitive to well-established open-source PPLs.…”
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Sound based snore signal processing by Ang, Shouchen

“…Snoring can be commonly found in up to 40% of the adult population [1] and it is a symptom that can be used as an indication to justify the existence of obstructive sleep apnoea syndrome(OSA). Over the years, studies have proven that the acoustic characteristics of the snoring sound may differ between a simple/normal snorer and an OSA patient. …”
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Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease by Walmsley, R, Chan, S, Smith-Byrne, K, Ramakrishnan, R, Woodward, M, Rahimi, K, Dwyer, T, Bennett, D, Doherty, A

“…</p> <p><strong>Methods</strong> Using free-living data from 152 participants, we developed a machine-learning model to classify movement behaviours (moderate-to-vigorous physical activity behaviours (MVPA), light physical activity behaviours, sedentary behaviour, sleep) in wrist-worn accelerometer data. Participants in UK Biobank, a prospective cohort, were asked to wear an accelerometer for 7 days, and we applied our machine-learning model to classify their movement behaviours. …”

RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer’s disease by Lentzen, M, Vairavan, S, Muurling, M, Alepopoulos, V, Atreya, A, Boada, M, de Boer, C, Conde, P, Curcic, J, Frisoni, G, Galluzzi, S, Gjestsen, MT, Gkioka, M, Grammatikopoulou, M, Hausner, L, Hinds, C, Lazarou, I, de Mendonça, A, Nikolopoulos, S, Religa, D, Scebba, G, Jelle Visser, P, Wittenberg, G, Narayan, V

“…Results: The ANCOVA results indicated significant differences between healthy and AD subjects regarding reduced physical activity, less REM sleep, altered gait patterns, and decreased cognitive functioning. …”

Effects of electromagnetic field on proliferation, differentiation, and mineralization of MC3T3 cells by Teoh, Swee-Hin, Suryani, Luvita, Too, Jian Hui, Hassanbhai, Ammar Mansoor, Wen, Feng, Lin, Daryl Jimian, Yu, Na

“…The steep increasing incidence of bone diseases and fractures provides a commanding impetus and growing demands for bone tissue engineering research. …”
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Enhancement of morlet mother wavelet in time–frequency domain in electroencephalogram (EEG) signals for driver fatigue classification by Rafiuddin, Abdubrani, Mahfuzah, Mustafa, Zarith Liyana, Zahari

“…Fatigued driving is a key factor in car accidents worldwide because of sleep disorders and driving durations. An EEG signal is used to determine changes in brain activity for diagnosing driver fatigue states. …”
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Melatonin and health: an umbrella review of health outcomes and biological mechanisms of action by Posadzki, Pawel Przemyslaw, Bajpai, Ram, Kyaw, Bhone Myint, Roberts, Nicola J., Brzezinski, Amnon, Christopoulos, George I, Divakar, Ushashree, Bajpai, Shweta, Soljak, Michael, Dunleavy, Gerard, Jarbrink, Krister, Nang, Ei Ei Khaing, Soh, Chee Kiong, Car, Josip

“…Seven meta-analyses were significant with P values less than 0.001 under the random-effects model. These pertained to sleep latency, pre-operative anxiety, prevention of agitation and risk of breast cancer. …”
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Phonological and semantic influences on auditory word perception in children with and without reading impairments using magnetoencephalography (MEG) and electroencephalography (EEG... by Wehner, Daniel T

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15.665B Power and Negotiation, Fall 2002 by Williams, Michele

“…You will learn and practice the technical skills and analytic frameworks that are necessary to negotiate successfully with peers from other top business schools, and you will learn methods for developing the powerful social capital you will need to rise in the executive ranks of any organization. …”
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Health economic aspects of childhood excess weight by Onyimadu, O

“…My analyses of CPRD-HES data revealed that children living with overweight and obesity incurred significantly higher direct healthcare costs than their peers with a healthy weight. In comparison to children with healthy weight, those living with overweight generated additional costs of £133.93 and £66.32, on average, in the year preceding and following a BMI measurement, respectively, while children with obesity incurred additional costs of £115.47 and £154.51, on average, during the same periods. …”

MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences by Nepal, Subigya, Pillai, Arvind, Campbell, William, Massachi, Talie, Heinz, Michael, Kunwar, Ashmita, Choi, Eunsol Soul, Xu, Xuhai "Orson", Kuc, Joanna, Huckins, Jeremy, Holden, Jason, Preum, Sarah M., Depp, Colin, Jacobson, Nicholas, Czerwinski, Mary, Granholm, Eric, Campbell, Andrew

“…MindScape pioneers a novel approach to AI-powered journaling by integrating passively collected behavioral patterns such as conversational engagement, sleep, and location with Large Language Models (LLMs). …”
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Development of an application to improve mental health (A) by Khor, Chin Yi

“…It is crucial to implement peer support in tackling mental health issues, as information provided by peers is usually seen as more credible and up-to-date than that offered by professionals. …”
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