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A Conceptual Framework and Recommendations for Open Data and Artifacts in Empirical Software Engineering

Open science aims to improve research accessibility, replicability, and consequently its quality. Empirical software engineering entails both data and artifacts, which may be shared more or less openly, to support transparency. However, the trade-offs involved in balancing the openness against integrity and secrecy concerns need methodological guidance. Aim. We aim to derive such advice, based on

A theory of factors affecting continuous experimentation (FACE)

Context: Continuous experimentation (CE) is used by many companies with internet-facing products to improve their business models and software solutions based on user data. Some companies deliberately adopt a systematic experiment-driven approach to software development while some companies use CE in a more ad-hoc fashion. Objective: The goal of this study is to identify factors for success in CE

Artificial intelligence in the information ecosystem: affordances for everyday information seeking

In this conceptual article, we argue that artificial intelligence (AI) systems are contributing to the generation of an environment of affordances for everyday information practices through which they exert influence on people and the planet in ways that often are left unrecognised. We illustrate our insights by focusing on the practices of information seeking in everyday life, suggesting that the

Optimal Inverse Design Based on Memetic Algorithms - Part II : Examples and Properties

Optimal inverse design, including topology optimization and evaluation of fundamental bounds on performance, which was introduced in Part 1, is applied to various antenna design problems. A memetic scheme for topology optimization combines local and global techniques to accelerate convergence and maintain robustness. Method-of-moments (MoMs) matrices are used to evaluate objective functions and al

A language of movements : grammar learning in a serial reaction time test

Implicit sequence learning (ISL) has been studied using a variety of tasks two of which have been particularly influential: the serial reaction time task (SRTT) and the artificial grammar learning (AGL) task, stemming from the motor learning domain and psycholinguistics, respectively. SRTTs measure the difference in response times between a repeatedly presented and random sequences of keyboard pre

Machine learning prediction of tau-PET in Alzheimer's disease using plasma, MRI, and clinical data

INTRODUCTION: Tau positron emission tomography (PET) is a reliable neuroimaging technique for assessing regional load of tau pathology in the brain, but its routine clinical use is limited by cost and accessibility barriers. METHODS: We thoroughly investigated the ability of various machine learning models to predict clinically useful tau-PET composites (load and laterality index) from low-cost an

Guiding organizations in the digital era : Tools and metrics for success

This study develops a strategic framework to guide the adoption of Industry 4.0 technologies across various business sectors. Using a mixed-methods approach, the research combines an extensive literature review with empirical investigations, including case studies and surveys with industry practitioners. The framework integrates advanced digital technologies, such as artificial intelligence and im

Stabilized scattering matrix formulation for 2D periodic multilayer dielectrics

This paper proposes an alternative semi-analytical Fourier modal method adapted for general periodic anisotropic gratings made of dielectrics with moderate to low index profiles corresponding to materials ranging from conventional dielectric 3D printing materials to ceramic materials. The proposed method is closely related to classical Rigorous Coupled-Wave Analysis built on scattering matrices, h

Outdoor environments at three nursing homes – Focus group interviews with staff.

This study investigated how the outdoor environments at nursing homes for older persons were experienced and used to gain knowledge with implications for design. Focus group methodology was used to explore staff's view of how the residents experienced and used the outdoors. Two main themes and ten sub-themes were the result when the focus group interviews were analyzed. Theme one, being comfortabl

The new songs of praise: Text, music and performance from a Swedish perspective

In our contemporary age, the name praise song has got a special meaning, roughly defined as: a song consisting of a rather short text that is sung over and over again, set to music in some contemporary popular style, directed by a worship leader, and accompanied by a team with instruments that may be unusual in church, as el-guitars and drums. The phenomenon is described and critically evaluated.

Viral vector-mediated overexpression of α-synuclein as a progressive model of Parkinson's disease

The discovery of the role of α-synuclein in the pathogenesis of Parkinson's disease (PD) has opened new possibilities for the development of more authentic models of Parkinson's disease. Recombinant adeno-associated virus (AAV) and lentivirus (LV) vectors are efficient tools for expression of genes locally in subsets of neurons in the brain and can be used to express human wild-type or mutated α-s

The A9 dopamine neuron component in grafts of ventral mesencephalon is an important determinant for recovery of motor function in a rat model of Parkinson's disease

Grafts of foetal ventral mesencephalon, used in cell replacement therapy for Parkinson's disease, are known to contain a mix of dopamine neuronal subtypes including the A9 neurons of the substantia nigra and the A10 neurons of the ventral tegmental area. However, the relative importance of these subtypes for functional repair of the brain affected by Parkinson's disease has not been studied thorou

Children's Subjective Ratings and Opinions of Typical and Dysphonic Voice After Performing a Language Comprehension Task in Background Noise.

Objective Previous studies suggest that dysphonic voices are perceived more negatively than typical voices, and it is possible that vocal perception influences academic achievement and comprehension. This study assessed children's subjective ratings and opinions of a typical and dysphonic voice after performing a language comprehension task in background noise. It also explored if subjective rati

A General Chemical Method to Regulate Protein Stability in the Mammalian Central Nervous System

The ability to make specific perturbations to biological molecules in a cell or organism is a central experimental strategy in modern research biology. We have developed a general technique in which the stability of a specific protein is regulated by a cell-permeable small molecule. Mutants of the Escherichia coil dihydrofolate reductase (ecDHFR) were engineered to be degraded, and, when this dest

Differential Transduction Following Basal Ganglia Administration of Distinct Pseudotyped AAV Capsid Serotypes in Nonhuman Primates

We examined the transduction efficiency of different adeno-associated virus (AAV) capsid serotypes encoding for green fluorescent protein (GFP) flanked by AAV2 inverted terminal repeats in the nonhuman primate basal ganglia as a prelude to translational studies, as well as clinical trials in patients with Parkinson's disease (PD). Six intact young adult cynomolgus monkeys received a single 10 mu l

Matching Parton Showers and Matrix Elements

We compare different procedures for combining fixed-order tree-level matrix element generators with parton showers. We use the case of W-production at the Tevatron and the LHC to compare different implementations of the so-called CKKW scheme and one based on the so-called MLM scheme using different matrix element generators and different parton cascades. We find that although similar results are o

Velocities of a spatial-temporal stochastic field with embedded dynamics

The paper investigates further an approach to modeling dynamically changing Gaussian spatio-temporal fields. In that approach, the dynamics are introduced by embedding deterministic velocities into a stochastic spatio-temporal Gaussian model. In this way, a dynamically inactive stochastic field with given spatial and temporal covariance structure gains dynamics that in general follow a determinist

GDNF fails to exert neuroprotection in a rat {alpha}-synuclein model of Parkinson's disease.

The neuroprotective effect of the glial cell line-derived neurotrophic factor has been extensively studied in various toxic models of Parkinson's disease. However, it remains unclear whether this neurotrophic factor can protect against the toxicity induced by the aggregation-prone protein α-synuclein. Targeted overexpression of human wild-type α-synuclein in the nigrostriatal system, using adeno

Motivating factors towards willingness to contribute in collaborative tasks: A crisis cooperation perspective

The interaction among various stakeholder organizations in modern crisis response is very similar to negotiation where each organization has its own goal in addition to a common goal. Decision makers in stakeholder organizations most often have to settle for win-win situations to attain higher joint benefit. In such cases willingness to contribute in joint tasks becomes a prerequisite. In our pres