Is nitrogen present in Li3N·P2S5 solid electrolytes produced by ball milling? by Hartley, G, Jin, L, Bergner, B, Spencer Jolly, D, Rees, G, Zekoll, S, Ning, Z, Pateman, A, Holc, C, Adamson, P, Bruce, P

“…<p>Nitrogenous solid electrolytes such as lithium phosphorus oxynitride (LiPON) have effectual interfacial compatibility with lithium metal; in part, this has enabled the development of thin-film solid-state batteries with excellent long-term cycling performance. However, most known nitrogen-containing solid electrolytes lack the ionic conductivity required for high-power/high-capacity batteries; therefore, the development of new nitrogenous solid electrolytes with increased ionic conductivity is highly desirable. …”

Decision-making under flood predictions: a risk perception study of coastal real estate by Seenath, A, Mahadeo, SMR, Blackett, M

“…These results are robust under a repeated experimental survey using an open access long-term flood risk map. We, therefore, recommend getting flood models “right” but recognize that this is a contentious issue because it implies having an error-free model, which is practically impossible. …”

Divine assemblies in early Greek and Mesopotamian narrative poetry by Ballesteros Petrella, B

“…Because the shared elements are profoundly embedded in the Greek orally-derived poetic tradition, it is possible to envisage a long-term process of oral contact and communication fostered by common structures. …”

Macroevolutionary history of Neotropical vegetation during the Cenozoic: a palynological perspective from Colombia by De La Parra Bonilla, G

“…This system is not completely understood, and will continue being matter of study for a long time. Knowledge of the deep time patterns of diversity and diversification are central to testing hypothesised mechanisms. …”

Professional experiences on use of the mental health act in ethnically diverse populations: a photovoice study by Bhui, K, Mooney, R, Joseph, D, McCabe, R, Newbigging, K, McCrone, P, Raghavan, R, Keating, F, Husein, N, The Co-Pact Team

“…<p><strong>Background</strong> There are long-standing ethnic and racial inequalities in experiences and outcomes of severe mental illness, including compulsory admission and treatment (CAT).…”

Contextualising the contrafacta of trouvere song by Quinlan, M

“…<p>Scholarship on medieval contrafacture has long been engaged in the Kontrafakturjagd, the hunt for songs whose textual and structural similarities suggest they might also share melodies. …”

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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The association of physical activity against depression among Universiti Putra Malaysia undergraduate medical students-a cross sectional study by Lynncilla, Shakira, Koh, Eugene, Chong, Seng Choi

“…The study utilized the International Physical Activity Questionnaire-Long Form and Centre for Epidemiologic Studies Depression Scale. …”
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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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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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