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In this article, we introduce a new community-contributed command, xtnumfac, for estimating the number of common factors in time-series and panel datasets using the methods of Bai and Ng (2002, Econometrica 70: 191–221), Ahn and Horenstein (2013, Econometrica 81: 1203–1227), Onatski (2010, Review of Economics and Statistics 92: 1004–1016), and Gagliardini, Ossola, and Scaillet (2019, Journal of Ec
The global agri-food system accounts for about 37% of total annual greenhouse gas (GHG) emissions, and the agri-food Small and Medium Enterprises (SMEs) share is quite significant. Therefore, it has created an urgency for GHG reporting and management improvements. However, most tools available for GHG accounting are complex to utilize and expensive for SMEs to access. The methodology adopted in th
We present the application of two fibre-optic-coupled time-resolved spectrofluorometers and a compact steady-state diffuse reflected light/fluorescence spectrometer to in vivo and ex vivo studies of skin cancer and osteoarthritis. In a clinical study of skin cancer, 27 lesions on 25 patients were investigated in vivo before surgical excision of the region measured. Preliminary analysis reveals a s
Introduction: The ableist rhetoric around sexuality in disability services and beyond can hinder subjective sexual expression and have a powerful impact on health, self-esteem, and everyday life through internalized ableism, structural marginalization, and interpersonal discrimination. The aim of this study was to explore the ableist rhetoric of sexuality and its impact on sexual scripting for peo
The honeybee, Apis mellifera L. (Hymenoptera: Apidae), has recently become a model for studying brain asymmetry among invertebrates. A strong lateralization favouring the right antenna was discovered in odour learning and short-term memory recall experiments, and a lateral shift favouring the left antenna for long-term memory recall. Corresponding morphological asymmetries have been found in the d
Anthropogenically land cover modifications and human presence in natural environments are not without consequences to ecological processes. From a conservation perspective, these consequences are worrisome specially when considering the human domination of terrestrial ecosystems worldwide. The recent loss of wilderness areas has been described as catastrophic despite pro-active conservation scheme
Pituitary tumours, originating from endocrine cells of the anterior pituitary, are quite common, and in most cases well-controlled by surgery or medical treatment. However, a small subset of pituitary tumours presents with multiple local recurrences or tumour progression despite combined surgical, medical or radiotherapeutic treatment. These are known as aggressive pituitary tumours (APT); also ca
Artificial intelligence (AI) methods are powerful tools for biological image analysis and processing. High-quality annotated images are key to training and developing new algorithms, but access to such data is often hindered by the lack of standards for sharing datasets. We discuss the barriers to sharing annotated image datasets and suggest specific guidelines to improve the reuse of bioimages an
The intervention Balancing Everyday Life™ (BEL) helps service users achieve a balance among everyday activities and enhance personal recovery. BEL builds upon research for people with mental illness and on evidence from earlier activity-based interventions. This methodological paper presents the theoretical basis for BEL, which rests on five pillars of theories and models. Further, the BEL topics
Rare earth elements (lanthanides) are critical materials for many applications, particularly those involved in new energy. Extracting these elements economically from low-concentration sources may be challenging. This study investigates the interaction of Ce and Gd with microalgae that have been triggered to form phosphate-rich granules. Lanthanides usually occur in nature as phosphates, and there
The field of high energy physics (HEPs) has seen a marked increase in the use of machine learning (ML) techniques in recent years. The proliferation of applications has revolutionised many aspects of the data processing pipeline at collider experiments including the Large Hadron Collider (LHC). In this whitepaper, we discuss the increasingly crucial role that ML plays in real-time analysis (RTA) a
Background: Many children who have overweight or obesity before puberty can develop obesity in early adulthood, which is associated with increased morbidity and mortality. The preschool years (ages 0-5) represents a point of opportunity for children to be active, develop healthy eating habits, and maintain healthy growth. Surveillance of childhood overweight and obesity in this age group can help
Democracies face a crisis of public reason grounded in a disintegration of shared epistemic ground and amplified by digital polarisation and AI-mediated disinformation. Current pedagogy, focused on deconstructive critique or fact-checking skills, fails to address how algorithmic systems engineer plausibility at scale. Higher education must cultivate discerning judgement alongside critique. Drawing
Against the backdrop of the current geopolitical situation, logistics preparedness emerges as a pivotal area of focus for defence supply chains. Despite the critical role of commercial suppliers, research on utilising these in defence logistics and supply chains remains scarce. Adopting a supply chain governance lens, we have conducted a systematic literature review to provide an overview of exist
The aim of this chapter is to analyse and describe how teachers’ use of theoretical conjectures in instruction during a Learning Study (LeaS) process affected high-functioning autism spectrum disorder (HFASD) students’ learning outcomes when following the national curriculum. Participants were students in grades 7 to 9 (n = 11) and their teachers (n = 5). The 11 adolescents (4 females and 7 males)
