Unlocking the mysteries behind baby viral videos. by Chung, You Lun., Tan, Peck Lim., Sia, Shang Ying.

“…Online content that contains viral elements will effortlessly spread through the Internet as users share among their peers. Mysteriously, videos containing baby content are shared widely and received millions of views. …”
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‘Maturing out’ as dilemmatic: transitions towards relatively light drinking practices among UK University students by Conroy, Dom, Morton, Charlotte, Griffin, Christine

“…One dilemma was characterised by managing to drink less (or nothing) without cutting off social options with university friends/peers. A second dilemma concerned not wishing to fully abandon the pleasures and increased social confidence that alcohol consumption could afford. …”
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Alcohol Use and Its Relation with Demographic, Environmental, and Psychological Factors among Adolescents in Nabawan, Sabah by Jaimon, Selly, Deligannu, Pravina, Robinson, Fredie

“…Analysis revealed that older age adolescents 18 years and 19 years, respectively (adjusted odds ratio [aOR], 3.93; P=0.021; aOR, 5.38; P=0.003), having parents (aOR, 4.11; P=0.001) and peers (aOR, 11.57; P<0.001) who consume alcohol were significantly associated with alcohol use. …”
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Burnout in Cybersecurity Incident Responders: Exploring the Factors that Light the Fire by Nepal, Subigya, Hernandez, Javier, Lewis, Robert, Chaudhry, Ahad, Houck, Brian, Knudsen, Eric, Rojas, Raul, Tankus, Ben, Prafullchandra, Hemma, Czerwinski, Mary

“…Burned-out responders often work more than 40 hours per week, have poor sleep quality, and engage in more email activities, meetings, and after-hour collaborations. …”
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Intraday adaptation to extreme temperatures in outdoor activity by Fan, Yichun, Wang, Jianghao, Obradovich, Nick, Zheng, Siqi

“…Such within-day adaptation substantially reduces heat exposure, yet it also delays the active time at night by about half an hour, with potential side effect on sleep quality. Combining empirical estimates with outputs from downscaled climate models, we show that unmitigated climate change will generate sizable activity-depressing and activity-delaying effects in summer when projected on an hourly resolution. …”
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A low-cost, portable, active noise control unit : an optimal fixed-filter active noise control solution for construction noise sources by Wee, Ervin Liang Zheng

“…Noise pollution affects millions of people daily and can also cause high blood pressure, lack of sleep, heart disease, and stress. In Singapore, one of the most common form of noise pollution is construction noise. …”
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A fast wake-up circuit for internet-of-things regulator by Yee, Hern Yue

“…For IoT (Internet of Things) regulators, power consumption is a crucial concern, and they are mostly kept in sleep mode and turned on only when required. However, for applications like portable devices, automotive electronics, sensors, and control systems, a fast wake-up time is essential for reliable operation. …”
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A proposal for a technology-assisted approach to wildlife management in Singapore by Chen, Melvin, Tan, Alvin De Jun, Quek, Wei Liang, Chahed, Haroun

“…Among the results that will be discussed are the following: a significant decline in the number of macaque sightings at Student Residences over the weekend, a majority of the reported macaque sightings occurring in the early evening, no significant difference in the damage and proximity scores over time, and a trend in observed macaque activity at critical sleep-relevant time intervals and areas on campus. …”
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A high efficiency buck converter for IoT sensors by Mo, Mingwei

“…IoT sensors mostly operate in sleep mode, so the DC-DC converter's load current can drop to the microampere level. …”
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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. …”