Diffusion of internet - a double-edged sword? Preliminary findings in Malaysia by Yusof, Arfah., Rahmah Hashim.

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The 'Clisurean' finds from Climente II cave, Iron Gates, Romania by Bonsall, C, Boroneanţ, A, Evatt, A, Soficaru, A, Nica, C, Bartosiewicz, L, Cook, G, Higham, TFG, Pickard, C

“…This article presents a re-evaluation of the archaeological finds from Climente II. Osteological analysis of the human remains confirms at least three individuals: a robust, young adult male aged between 18 and 28 years, a second (older) adult, and a neonate. …”

Finding nemo: deformable object class modelling using curve matching by Prasad, M, Fitzzibbon, A, Zisserman, A, Van Gool, L

Towards a consensus on dyslexia: findings from a Delphi study by Carroll, JM, Holden, C, Kirby, P, Thompson, PA, Snowling, MJ, Dyslexia Delphi Panel

Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network by Kauf, Carina, Tuckute, Greta, Levy, Roger, Andreas, Jacob, Fedorenko, Evelina

“…Representations from artificial neural network (ANN) language models have been shown to predict human brain activity in the language network. …”
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The impact of Ming and Qing dynasty maritime bans on trade ceramics recovered from coastal settlements in northern Sumatra, Indonesia by Tai, Yew Seng, Daly, Patrick, Mckinnon, E. Edwards, Parnell, Andrew, Feener, R. Michael, Majewski, Jedrzej, Nazli Ismail, Sieh, Kerry

“…We review published literature and historical texts to propose that three periods of official Chinese maritime bans impacted the composition and circulation of trade ceramics along Asian trade routes: Ming Ban 1 (1371 – 1509), Ming Ban 2 (1521 – 1529), and Qing Ban (1654 – 1684). …”
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HVAC energy consumption evaluation based prediction of indoor thermal comfort in buildings under artificial neural network (ANN) by Keow, Chin Lun

“…A Levenberg-Marquardt training algorithm based Artificial Neural Network (ANN) approach was adopted to predict Fanger’s Predicted Mean Vote (PMV) value that indicates thermal comfort level. …”
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Sympathising with the monster by subverting the human-monster dichotomy in fantastic beasts and where to find them by Jahafar, Mohammed

“…Rowling’s Fantastic Beasts and Where to Find Them (Fantastic Beasts). By appropriating two conventional monster narrative tropes, the Obscurial becomes an instrument to decipher our apprehensions, pathologies and fixations. …”
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A combined numerical and experimental approach to investigations of body-freedom flutter on flying wings by Ang, Elijah Hao Wei

“…Two control strategies are implemented for gust load alleviation of lightweight flying wings undergoing body-freedom oscillations, namely a genetic linear quadratic Gaussian controller (LQG) and an artificial neural network (ANN) controller. …”
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Search for gravitational waves from Scorpius X-1 with a hidden Markov model in O3 LIGO data

“…In the frequency range searched, from 60 to 500 Hz, we find no evidence of gravitational radiation. This is the most sensitive search for Scorpius X-1 using a HMM to date. …”
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Experimental and numerical studies of pin-ended S960 ultra-high strength steel press-braked channel section columns by Ong, Shao Quan

“…The structural testing programme were performed on two nonslender plain channel sections and comprised detailed measurements of initial global and local geometric imperfections, as well as a total of 10 flexural buckling tests on pin-ended columns buckling about their minor axes. …”
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Comparison and validation of sensors for 3D and 2D motion capture to measure 10-pin bowling specific kinematics by Lim, Matthew Jing Long

“…Ten pin bowling is a competitive sport that requires athletes to score as many pins possible using a bowling ball. …”
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Jokowi After the First Term – Indonesia’s KPK : Clipping Its Anti-Corruption Wings? by Ng, Jefferson Jin Chuan

“…The Indonesian Parliament (DPR) and the President have discussed and approved an amendment clipping the wings of Indonesia’s independent anti-corruption agency. …”
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Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks by Kayacan, Erdal, Khanesar, Mojtaba Ahmadieh, Rubio-Hervas, Jaime, Reyhanoglu, Mahmut

“…A learning control strategy is preferred for the control and guidance of a fixed-wing unmanned aerial vehicle to deal with lack of modeling and flight uncertainties. …”
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Preliminary study on laser texturing of glass: Techniques, process parameters, and initial findings by Rai, Rahool, Mahadzir, Ishak, Aiman, Mohd Halil, Quazi, Moinuddin Mohammed

“…Various laser parameters such as power, scanning speed, and repetition rate were studied for trial to understand their impact on surface morphology and functionality. Initial findings reveal that laser texturing can effectively improve glass surface properties, creating superhydrophobic surfaces while maintaining optimal transparency. …”
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A study of the information needs and uses of the informal sector in Uganda : preliminary findings by Ikoja-Odongo, Robert

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Narrowband Searches for Continuous and Long-duration Transient Gravitational Waves from Known Pulsars in the LIGO-Virgo Third Observing Run by Sudhir, Vivishek

“…We report two marginal outliers from this search, but find no clear evidence for such emission either. …”
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Search of the early O3 LIGO data for continuous gravitational waves from the Cassiopeia A and Vela Jr. supernova remnants by Sudhir, Vivishek

“…We carry out the searches in the LIGO data from the first six months of the third Advanced LIGO and Virgo observing run, using the Weave semi-coherent method, which sums matched-filter detection-statistic values over many time segments spanning the observation period. …”
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Developing a system that uses ultrawide-band inertial measurement units to quantify selected 10-Pin skills in real-time by Wee, Joel Jiewei

“…Ten-pin bowling is a unique abstract sport that requires bowlers to deliver a 11-to-16-pound ball in a five-step approach for the ball to travel down the oiled lane to knock down 10 pins. …”
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Investigating the role of psychological needs in predicting the educational sustainability of Metaverse using a deep learning-based hybrid SEM-ANN technique by Arpaci, Ibrahim, Bahari, Mahadi

“…Further, deep ANN models indicated that hedonic motivation was the most important input factor, followed by autonomy, affiliation, dominance, and achievement. …”