Filetype
Code review is a well-established and valuable software development practice associated with code quality, interpersonal, and team benefits. However, it is also time-consuming, with developers spending 10–20% of their working time doing code reviews. With recent advances in AI capabilities, there are more and more initiatives aimed at fully automating code reviews to save time and streamline softw
The advancement of disease-modifying treatments (DMTs) for Alzheimer's disease (AD), along with the approval of three amyloid-targeting therapies in the US and several other countries, represents a significant development in the treatment landscape, offering new hope for addressing this once untreatable chronic progressive disease. However, significant challenges persist that could impede the succ
A central feature of internalizing mental disorders, such as obsessive-compulsive disorder (OCD) and anxiety disorders, is the avoidance of rewarding situations to prevent the risk of experiencing distressing emotions. Previous research has shown that obsessive and anxious individuals avoid situations where rewards come at the cost of aversive experiences, a phenomenon termed costly avoidance. Cos
We present an Unmanned Aerial Vehicle (UAV) human-robot interaction simulation environment to evaluate operator situational awareness (SA) during Beyond Visual Line of Sight (BVLOS) operations. We have developed a modular simulator that functions as a testbed for the design of custom scenarios and the study of human-robot interaction. This simulator facilitates data collection and allows for the c
This is the third of three chapters on diffusion MRI acquisition for tractography. Tractography is performed extensively in the in vivo adult brain, and sequences used for the in vivo adult brain have been covered in detail in Chapter 7. However, tractography is also performed in ex vivo human brain, in both the in vivo and ex vivo animal brain of various nonhuman species, in the human brain durin
Medical image segmentation is a critical component in a wide range of clinical applications, enabling the identification and delineation of anatomical structures. This study focuses on segmentation of anatomical structures for 3D printing, virtual surgery planning, and advanced visualization such as virtual or augmented reality. Manual segmentation methods are labor-intensive and can be subjective
Background and aim. In rural areas, economic and demographic shifts often leave buildings vacant due to functional and locational obsolescence. However, these buildings hold significant value in terms of embodied energy, natural resources, economic capital, and cultural heritage. The real estate sector urgently needs innovative space use strategies and business models to tackle rising vacancy rate
Predicting the evolution of complex systems governed by partial differential equations remains challenging, especially for nonlinear, chaotic behaviors. This study introduces Koopman-inspired Fourier neural operators and convolutional neural networks to learn solution advancement operators for flame front instabilities. By transforming data into a high-dimensional latent space, these models achiev
With global food supply chains becoming more complex, the credibility of the food sector is under threat due to the loss of public trust with rising food fraud cases such as the horsemeat scandal, Chinese milk scandal, etc. Therefore, it has become essential to promote transparency and real-time visibility of the food supply chain from farm to fork to address the demand of all the stakeholders inv
OBJECTIVE: Sarcopenia (loss of muscle strength/mass) reduces physical performance (walking, strength, mobility) and is common in Parkinson's disease (PD), but data on newly diagnosed, untreated patients ("de novo") are scarce. Fatigue is frequent in PD and linked to physical decline and malnutrition, key sarcopenia risk factors. We aimed to describe sarcopenia prevalence, malnutrition risk, and fa
With the advent of digitalization, the economy of the world is quickly changing itself and Indian Small and Medium Enterprises (SMEs) are the front runners. This study sheds light on how digital transformation is crucial to support the growth, competitiveness, and sustainability in the present business environment, and how digital transformation is important to the SMEs in India. To encourage SMEs
Background and aim: Circular economy (CE) practices in the built environment require integrating strategies such as life cycle assessment (LCA), cradle-to-cradle (C2C) principles, stakeholder collaboration, and the 10R framework to enhance resource efficiency and minimize environmental impacts across the entire building. However, existing research lacks a comprehensive framework that systematicall
The Swedish Research Council is a Swedish government agency and one of the major research financiers in Sweden. As such, its operations are governed by legislation and governmental instructions and policies, which prohibit discrimination and include equal treatment. Consequently, the Swedish Research Council has for a large number of years been working actively against gender bias in their reviews
Background: Nodal assessment in gallbladder cancer remains challenging, particularly in incidental gallbladder cancer. This understages the number of patients with node-positive disease, resulting in prognostic inaccuracy and insufficient adjuvant treatment. This study aimed to identify risk factors for positive nodes in gallbladder cancer and to compare prognostic discrimination of available noda
The development of treatment resistance remains universal for patients with metastatic prostate cancer, driven by androgen receptor alterations and lineage state transitions. Identifying the evolution of lineage transitions in treatment resistance has been limited by the challenges of collecting serial tissue biopsies on treatment, which can be overcome using blood-based liquid biopsies. Using a n
Recent years have seen a sharply rising interest in the scientific area dedicated to the study of the use of Artificial Intelligence (AI) for Cognitive Behavioral Therapy (CBT) research and applications (AI4CBT for brevity). Yet, little is known about how this interest is realized and hence the overall status, prospects, and possible challenges of AI4CBT as a field (e.g. breadth of the field, key
