Investigating heterogeneity across autism, ADHD, and typical development using measures of cortical thickness, surface area, cortical/subcortical volume, and structural covariance by Sadat-Nejad, Y, Vandewouw, MM, Cardy, R, Lerch, J, Taylor, MJ, Iaboni, A, Hammill, C, Syed, B, Brian, JA, Kelley, E, Ayub, M, Crosbie, J, Schachar, R, Georgiades, S, Nicolson, R, Anagnostou, E, Kushki, A

“…The clinical diagnoses of autism and ADHD are based on behavioural assessments and may not predict long-term outcomes or response to interventions and supports. …”

Adjustable wind selectivity in shearwaters implies knowledge of the foraging landscape by Harris, S, Bishop, C, Bond, S, Fernandes, P, Guilford, T, Lewin, P, Padget, O, Robins, P, Schneider, W, Waggitt, J, Wilmes, S, Cordes, L

“…Many seabirds, for example, are adapted to use winds to travel long distances at low energetic cost1,2,3 but also potentially benefit from targeting specific foraging hotspots.4,5,6 To investigate how an animal makes foraging decisions, given the inevitable trade-off between these factors, we tracked over 600 foraging trips of breeding Manx shearwaters (Puffinus puffinus; N = 218 individuals) using GPS accelerometers. …”

Territorial movements of African lions: can waterholes shape multiple central-place territories in a savanna ecosystem? by Dejeante, R, Loveridge, A, Macdonald, D, Madlamoto, D, Chamaille-James, S, Valeix, M

“…These findings illustrate a case where territorial animals specifically mark feeding sites, increasing the renewal of territorial cues at these key places, potentially using long-distance territorial cues (i.e., vocalizations) to mark uncovered areas, and thereby reducing the cost of patrolling large territories. …”

A feline model of spontaneously occurring autoimmune limbic encephalitis by Glantschnigg-Eisl, U, Klang, A, Kneissl, S, Lang, B, Waters, P, Irani, SR, Binks, SNM, Pakozdy, A

“…We delineate their clinical and paraclinical features as well as long-term outcomes up to 5 years. <br> Similar to human cases, most cats with LGI1-antibodies had a history of focal seizures (83%), clustering in the majority (88%), with interictal behavioural changes (73%). …”

Political championship: understanding African state effectiveness and Sino-African infrastructure development by Wang, Y

“…This research also challenges the conventional belief and shows that short-term electoral institutions can be as effective as long-term centralized ones in generating leadership commitment to developmental projects or policies. …”

Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization by Mökander, J, Schroeder, R

“…In this paper, we first frame the use of artificial intelligence (AI) systems in the public sector as a continuation and intensification of long-standing rationalization and bureaucratization processes. …”

Decentralised finance and automated market making by Monga, M

“…We do not specify a model for the stochastic processes observed by LPs, and use a long short-term memory (LSTM) neural network to approximate the optimal liquidity provision strategy.…”

Implications of contextual ambidexterity and digital platform capability on SME performance :the role of absorptive capacity as a moderator by Mohamad Rohieszan Ramdan, Nor Liza Abdullah, Nurul Ashykin Abd Aziz, Nursyazwani Mohd Fuzi, Sharon Yong Yee Ong, Nur Yuhainis Ab. Wahab

“…Contextual ambidexterity and digital platform capability can help SMEs achieve long-term success. However, achieving a balance between exploration and exploitation of contextual ambidexterity for integrating and reconfiguring organisations using digital platform capability is challenging to SMEs. …”
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Enhanced growth performance and steviol glycosides content in Stevia Rebaudiana under elevated carbon dioxide by A Abzar, Siti Zaharah Sakimin, Hawa ZE Jaafar, Nor Elliza Tajidin

“…Therefore, an experiment was conducted in a glasshouse using a randomized complete block design with four replications to investigate the effect of short and long-term elevated CO2 on growth performance and chemical markers of Stevia rebaudiana Bertoni. …”
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Outdoor education program: assessing student performance, mental health, and teacher well-being by Wei, Shasha, Yang, Xiaoming, Ismail, Mohd H. B., Farizan, Noor H., Samsudin, Shamsulariffin

“…By understanding the major effect of outdoor education initiatives, we seek to provide the groundwork for innovative educational practices and policies that empower students, support instructors, and have long-lasting consequences. Further research is needed to identify more factors that improve academic achievement and wellness among students…”
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Structural prowess in solar panel cleaning: a comparative study of robotic designs by Murshiduzzamana, ., As'Arry, A., Keong, L. W., Yussof, H., Wan Hasan, W. Z.

“…However, concerns persist regarding the potential long-term damage to panels and the efficiency of cleaning methods. …”
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Hong Kong’s media representations of China amid COVID-19: a corpus-assisted critical discourse analysis by Hu, Xiaolin, Kasimon, Diyana Nawar, Wan Abas, Wan Anita

“…The Sing Tao Daily was chosen for the study because it has been in existence for a long time and has readers all over the world. Its coverage of China COVID-19 will affect Hong Kong people's perception of their motherland. …”
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A hybrid Transformer-LSTM model apply to glucose prediction by Bian, QingXiang, As’arry, Azizan, Cong, XiangGuo, Md Rezali, Khairil Anas

“…This study addresses this critical issue by employing a hybrid Transformer-LSTM (Long Short-Term Memory) model designed to enhance the accuracy of future glucose level predictions based on data from Continuous Glucose Monitoring (CGM) systems. …”
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AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Several advanced deep learning models, including long short-term memory (LSTM), bidirectional LSTM, convolutional neural network (CNN), CNN-LSTM, multilayer perceptron, and recurrent neural network (RNN) models, were trained and evaluated. …”
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AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Several advanced deep learning models, including long short-term memory (LSTM), bidirectional LSTM, convolutional neural network (CNN), CNN-LSTM, multilayer perceptron, and recurrent neural network (RNN) models, were trained and evaluated. …”
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LoRa Microstrip Patch Antenna: A comprehensive review by S. Yahya, Muhammad, Soeung, Socheatra, Abdul Rahim, Sharul K, Musa, Umar, Ba Hashwan, Saeed S, Yunusa, Zainab, Hamzah, Shipun A

“…This review offers an extensive examination of the evolving landscape of Long Range (LoRa) Microstrip Patch Antennas (MPAs), highlighting their crucial role in optimizing LoRa systems within the Internet of Things (IoT). …”
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Improving water flux of UiO-66 immobilized on ceramic hollow fiber by Yusof, Noor Fadilah, Raffi, Amirul Afiat, Yahaya, Nur Zhatul Shima, Mohd. Pauzi, Mohamad Zahir, Othman, Mohd. Hafiz Dzarfan, Jaafar, Juhana, Abas, Khairul Hamimah, A. Rahman, Mukhlis

“…Moreover, the membrane powder maintained its crystallinity in seawater, demonstrating its long-term stability and substantial capabilities in terms of desalination.…”

Thin film nanocomposite forward osmosis membrane with exfoliated layered double hydroxide nanosheets embedded support for fouling-resistant microalgae dewatering by Vrasna, Dhita Karunia, Goh, Pei Sean, Ahmad, Nor Akalili, Gonzales, Ralph Rolly, Wong, Kar Chun, Lim, Jun Wei, Lau, Woei Jye, Othman, Mohd. Hafiz Dzarfan, Ismail, Ahmad Fauzi, Matsuyama, Hideto

“…The morphology, wettability, permeability, fouling resistance, and long-term stability of the membranes were improved by incorporating exfoliated LDH within the polyethersulfone (PES) support layer prior to the formation of polyamide selective layer. …”

Government Transformation Programme (GTP): Effects of 4S Approach in Malaysian Government Departments by Anuar, Herman Shah, Radzuan, Kamaruddin, Hassan, Mohamad Ghozali

“…Implementing McKinsey approach has long been practised by various organisations in adding value to delivery and improving performance. …”
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Control and operation of DC microgrids by Adhikari, Sujan

“…Choice of energy storage ranging from short term to long term is a key factor to address the compensation of load peaks, transients and to provide autonomy to the microgrids. …”
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