Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploratory Correlation of The Human Structural Connectome with Non-MRI Variables in Alzheimer’s Disease

INTRODUCTION Discovery of the associations between brain structural connectivity and clinical and demographic variables can help to better understand the vulnerability and resilience of the brain architecture to neurodegenerative diseases and to discover biomarkers. METHODS We used four diffusion-MRI databases, three related to Alzheimer’s disease, to exploratorily correlate structural connections between 85 brain regions with non-MRI variables, while stringently correcting the significance values for multiple testing and ruling out spurious correlations via careful visual inspection. We repeated the analysis with brain connectivity augmented with multi-synaptic neural pathways. RESULTS We found 85 and 101 significant relationships with direct and augmented connectivity, respectively, which were generally stronger for the latter. Age was consistently linked to decreased connectivity, and healthier clinical scores were generally linked to increased connectivity. DISCUSSION Our findings help to elucidate which structural brain networks are affected in Alzheimer’s disease and aging and highlight the importance of including indirect connections.
Connecting, Care and Agency: The Nature of Environmental Education at an Outdoor Education Centre

This thesis reports on a study designed to investigate the nature of environmental education (EE) at one well-established school board operated outdoor education centre called Faraway Dale located in Ontario, Canada. The specific research questions that guided the study were: (a) What are the structures that characterize environmental education for educators at the outdoor education centre? (b) What are the main understandings of environment and education that guide outdoor educators work with environmental education? (c) What are the tensions and contradictions of providing environmental education through an outdoor centre? The primary data sources for this study were the nine outdoor educators who work at the facility. A variety of data collecting strategies were used, over a period of five months, to re-present their experiences of providing EE. Analysis of the data revealed that the nature of EE at the outdoor centre is significantly different from what occurs in mainstream, indoor settings. The overall goal for environmental education at the outdoor centre is to foster a culture that leads to healthy people and healthy environments by encouraging a more equitable interplay among people and nature. This overall goal can be divided into three structures that characterize EE at the centre. These are: connecting people to the environment, encouraging a care-based relational orientation iii towards the environment, and building agency for living low consumption low impact lifestyles. The findings also confirm that the nature of EE which educators espouse and practice is directly linked to their understandings of the terms ‘environment’ and ‘education’. The major tensions and contradictions of providing EE in an outdoor context are also illuminated. The discussion focuses on the implications of the findings for theory, practice and research in EE and the work of outdoor educators in the field.
Intravenous administration of human chorionic membrane mesenchymal stem cells promotes functional recovery in a rat traumatic brain injury model

Human chorionic membrane mesenchymal stem cells (hCM-MSCs) have increasingly emerged as an excellent source of transplanted cells for regenerative therapy as they can be isolated via a non-invasive and simple method with high proliferative capabilities. However, the roles and mechanisms of hCM-MSCs on traumatic brain injury (TBI) animal models have not been investigated yet. The aim of this study was to investigate the therapeutic potential and mechanism of hCM-MSCs transplantation in a rat model of TBI. Adult male Sprague–Dawley rats were subjected to moderate lateral fluid percussion-induced TBI. At 2 h after TBI, hCM-MSCs, or PBS were administered intravenously via the tail vein. Neurological function, brain water content, Evans blue dye extravasation, immunofluorescence staining, and enzyme-linked immunosorbent were evaluated. The results showed that transplanted hCM-MSCs were observed in the injured brain. Compared with the PBS group, hCM-MSCs treatment significantly decreased the numbers of M1 macrophages/microglia, MPO+ neutrophils and caspase-3+ cells (P < 0.01). Meanwhile, hCM-MSCs treatment significantly reduced the expression levels of the pro-inflammatory cytokines (TNF-α, interleukin-(IL)6 and IL-1β) while increasing the numbers of M2 macrophages/microglia and the expression of the anti-inflammatory cytokines IL-10 (P < 0.01). In addition, hCM-MSCs treatment significantly reduced brain water content and Evans blue extravasation. Lastly, hCM-MSCs treatment significantly promoted neurogenesis and angiogenesis, and attenuated neurological deficits. Collectively, these findings indicate that hCM-MSCs exhibited effective therapeutic efficacy in a rat TBI model, and its mechanism may be by reducing inflammation, apoptosis and the blood-brain barrier disruption, promoting angiogenesis and neurogenesis.
Characteristics and Correlates of Perceived Physical and Psychological Health Among Family Caregivers Living With Persons With Advanced Dementia

Background: Various factors drive a care setting shift from institutional to home settings for dementia care until the latest stage of the disease, suggesting the critical role of family caregivers living with persons with dementia. Objectives: This study explored the characteristics and correlates of self-reported overall physical and psychological (ie, depressive symptoms and stress) health among family caregivers living with persons with dementia in Sweden. Methods: This cross-sectional, descriptive study used baseline data from an existing music-based intervention study of persons with dementia and their family caregivers (N = 76). Multivariable linear regression analyses were performed. Results: On average, caregivers (n = 38; mean age: 74.8 years) were slightly younger than persons with dementia (n = 38; mean age: 78.6 years). Most caregivers were female (n = 24; 63.2%) and spouses or partners of persons with dementia (n = 37; 97.4%). Caregivers’ perceived relationship with their family members with dementia was the only factor associated with caregivers’ self-reported overall physical health (b = −0.655, p = .046). This suggests caregivers’ more frequent feeling of a good relationship with the persons with dementia was linked to better self-rated physical health among family caregivers living with persons with dementia. Conclusions: This study highlights the importance of family caregivers’ perceived relationship with persons with dementia in the context of caregivers’ self-reported physical health. Future research is needed to explore the perceived relationship from the perspectives of persons with dementia and the determinants of caregiving dyads’ (persons with dementia and family caregivers) perceived relationship with each other.
Melatonin supplementation does not alter vascular function or oxidative stress in healthy normotensive adults on a high sodium diet

High sodium diets (HSD) can cause vascular dysfunction, in part due to increases in reactive oxygen species (ROS). Melatonin reduces ROS in healthy and clinical populations and may improve vascular function. The purpose was to determine the effect of melatonin supplementation on vascular function and ROS during 10 days of a HSD. We hypothesized that melatonin supplementation during a HSD would improve vascular function and decrease ROS levels compared to HSD alone. Twenty‐seven participants (13 M/14 W, 26.7 ± 2.9 years, BMI: 23.6 ± 2.0 kg/m2, BP: 110 ± 9/67 ± 7 mmHg) were randomized to a 10‐day HSD (6900 mg sodium/d) supplemented with either 10 mg of melatonin (HSD + MEL) or a placebo (HSD + PL) daily. Brachial artery flow‐mediated dilation, a measure of macrovascular function, (HSD + PL: 7.1 ± 3.8%; HSD + MEL: 6.7 ± 3.4%; p = 0.59) and tissue oxygenation index (TSI) reperfusion rate, a measure of microvascular reactivity, (HSD + PL: 0.21 ± 0.06%/s; HSD + MEL: 0.21 ± 0.08%/s; p = 0.97) and TSI area under the curve (HSD + PL: 199899 ± 10,863 a.u.; HSD + MEL: 20315 ± 11,348 a.u.; p = 0.17) were similar at the end of each condition. Neither nitroxide molarity (HSD + PL: 7.8 × 10−5 ± 4.1 × 10−5 mol/L; HSD + MEL: 8.7 × 10−5 ± 5.1 × 10−5 mol/L; p = 0.55) nor free radical number (HSD + PL: 8.0 × 1015 ± 4.4 × 1015; HSD + MEL: 9.0 × 1015 ± 4.9 × 1015; p = 0.51) were different between conditions. Melatonin supplementation did not alter vascular function or ROS levels while on a HSD in this sample of young healthy normotensive adults.
Patients with Type 2 Diabetes and a GCK variant are still at risk for T2D-related secondary complications

Natural HbA1c levels in GCK-MODY patients often sit above the diagnostic threshold for type 2 diabetes (T2D). Standard treatments to lower HbA1c levels are ineffective in these individuals, yet in case studies to date, GCK-MODY patients often evade secondary T2D complications. Given these deviations from a more typical T2D disease course, genetic screening of GCK may be clinically useful, but population studies are needed to more precisely quantify T2D-related outcomes in GCK variant carriers. Using a state-of-the-art variant interpretation strategy based on glucose elevations, we genotyped all individuals in two real-world cohorts (n~535,000) for GCK risk variants and examined rates of T2D and T2D-complications from seven disease categories. We identified 439 individuals with GCK variants predicted to increase glucose (~1/1200). Aligning with their glucose elevations, GCK-MODY variant carriers were 12x as likely, and all other GCK risk carriers 4x as likely, to receive a T2D diagnosis, compared to non-GCK carriers. Surprisingly, GCK risk carriers with T2D develop a range of T2D-related complications at rates comparable to non-GCK T2D patients. Although the penetrance for secondary complications is lower than that for glucose elevations, GCK risk carriers remain at elevated risk of T2D and secondary complications.
Smooth approximation of feedback laws for infinite horizon control problems with non-smooth value functions

In this work the synthesis of approximate optimal and smooth feedback laws for infinite horizon optimal control problems is addressed. In this regards, $L^{p}$ type error bounds of the approximating smooth feedback laws are derived, depending on either the $C^1$ norm of the value function or its semi-concavity. These error bounds combined with the existence of a Lyapunov type function are used to prove the existence of an approximate optimal sequence of smooth feedback laws. Moreover, we extend this result to the H\"older continuous case by a diagonalization argument combined with the Moreau envelope. It is foreseen that these error bounds could be applied to study the convergence of synthesis of feedback laws via data driven machine learning methods. Additionally, we provide an example of an infinite horizon optimal control problem for which the value functions is non-differentiable but Lipschitz continuous. We point out that in this example no restrictions on either the controls or the trajectories are assumed.
Golden Ratio Nets and Sequences

In this paper we introduce and study nets and sequences constructed in an irrational base, focusing on the case of a base given by the golden ratio $\phi$. We provide a complete framework to study equidistribution properties of nets in base $\phi$, which among other things requires the introduction of a new concept of prime elementary intervals which differ from the standard definition used for integer bases. We define the one-dimensional van der Corput sequence in base $\phi$ and two-dimensional Hammersley point sets in base $\phi$ and we prove some properties for $(0,1)-$sequences and $(0,m,2)-$nets in base $\phi$ respectively. We also include numerical studies of the discrepancy of point sets and sequences in base $\phi$ showing an improvement in distribution properties over traditional integer based Hammersley constructions. As motivation for future research, we show how the equidistribution notions that are introduced for base $\phi$ can be generalized to other irrational bases.
Synergy of SMC and Topoisomerase Creates a Universal Pathway to Simplify Genome Topology

Topological entanglements severely interfere with important biological processes. For this reason, genomes must be kept unknotted and unlinked during most of a cell cycle. Type 2 Topoisomerase (TopoII) enzymes play an important role in this process but the precise mechanisms yielding systematic disentanglement of DNA in vivo are not clear. Here we report computational evidence that Structural Maintenance of Chromosomes (SMC) proteins – such as cohesins and condensins – can cooperate with TopoII to establish a synergistic mechanism to resolve topological entanglements: SMC-driven loop extrusion (or diffusion) induces the spatial localisation of entanglements in turn increasing the topological pressure within knotted or linked regions. As a consequence, knots, links and ensuing entanglements may be readily simplified by Topoisomerase enzymes even in crowded and confined conditions. The mechanism we uncover is universal in that it does not qualitatively depend on the specific substrate, whether DNA or chromatin, or on the processivity of the SMC proteins; we thus argue that this synergy may be at work across organisms and throughout the cell cycle.
Nondefectivity of invariant secant varieties

We show that a large class of secant varieties is nondefective. In particular, we positively resolve most cases of the Baur-Draisma-de Graaf conjecture on Grassmannian secants in large dimensions. Our result improves the known bounds on nondefectivity for various other secant varieties, including Chow varieties, Segre-Veronese varieties and Gaussian moment varieties. We also give bounds for identifiability and the generic ranks.
Pseudo-fermion functional renormalization group with magnetic fields

The pseudo-fermion functional renormalization group is generalized to treat spin Hamiltonians with finite magnetic fields, enabling its application to arbitrary spin lattice models with linear and bilinear terms in the spin operators. We discuss in detail an efficient numerical implementation of this approach making use of the system's symmetries. Particularly, we demonstrate that the inclusion of small symmetry breaking magnetic seed fields regularizes divergences of the susceptibility at magnetic phase transitions. This allows the investigation of spin models within magnetically ordered phases at $T=0$ in the physical limit of vanishing renormalization group parameter $\Lambda$. We explore the capabilities and limitations of this method extension for Heisenberg models on the square, honeycomb and triangular lattices. While the zero-field magnetizations of these systems are systematically overestimated, the types of magnetic orders are correctly captured, even if the local orientations of the seed field are chosen differently than the spin orientations of the realized magnetic order. Furthermore, the magnetization curve of the square lattice Heisenberg antiferromagnet shows good agreement with error controlled methods. In the future, the inclusion of magnetic fields in the pseudo-fermion functional renormalization group, which is also possible in three dimensional spin systems, will enable a variety of additional interesting applications such as the investigation of magnetization plateaus.
On Alternating-time Temporal Logic, Hyperproperties, and Strategy Sharing

Alternating-time temporal logic (ATL*) is a well-established framework for formal reasoning about multi-agent systems. However, while ATL* can reason about the strategic ability of agents (e.g., some coalition A can ensure that a goal is reached eventually), we cannot compare multiple strategic interactions, nor can we require multiple agents to follow the same strategy. For example, we cannot state that coalition A can reach a goal sooner (or more often) than some other coalition A'. In this paper, we propose HyperATL*_S, an extension of ATL* in which we can (1) compare the outcome of multiple strategic interactions w.r. t. a hyperproperty, i.e., a property that refers to multiple paths at the same time, and (2) enforce that some agents share the same strategy. We show that HyperATL*_S is a rich specification language that captures important AI-related properties that were out of reach of existing logics. We prove that model checking of HyperATL*_S on concurrent game structures is decidable. We implement our model-checking algorithm in a tool we call HyMASMC and evaluate it on a range of benchmarks.
LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Large language models (LLMs) are central to modern natural language processing, delivering exceptional performance in various tasks. However, their substantial computational and memory requirements present challenges, especially for devices with limited DRAM capacity. This paper tackles the challenge of efficiently running LLMs that exceed the available DRAM capacity by storing the model parameters in flash memory, but bringing them on demand to DRAM. Our method involves constructing an inference cost model that takes into account the characteristics of flash memory, guiding us to optimize in two critical areas: reducing the volume of data transferred from flash and reading data in larger, more contiguous chunks. Within this hardware-informed framework, we introduce two principal techniques. First,"windowing"strategically reduces data transfer by reusing previously activated neurons, and second,"row-column bundling", tailored to the sequential data access strengths of flash memory, increases the size of data chunks read from flash memory. These methods collectively enable running models up to twice the size of the available DRAM, with a 4-5x and 20-25x increase in inference speed compared to naive loading approaches in CPU and GPU, respectively. Our integration of sparsity awareness, context-adaptive loading, and a hardware-oriented design paves the way for effective inference of LLMs on devices with limited memory.
Automated Speech Audiometry: Can It Work Using Open-Source Pre-Trained Kaldi-NL Automatic Speech Recognition?

A practical speech audiometry tool is the digits-in-noise (DIN) test for hearing screening of populations of varying ages and hearing status. The test is usually conducted by a human supervisor (e.g., clinician), who scores the responses spoken by the listener, or online, where software scores the responses entered by the listener. The test has 24-digit triplets presented in an adaptive staircase procedure, resulting in a speech reception threshold (SRT). We propose an alternative automated DIN test setup that can evaluate spoken responses whilst conducted without a human supervisor, using the open-source automatic speech recognition toolkit, Kaldi-NL. Thirty self-reported normal-hearing Dutch adults (19–64 years) completed one DIN + Kaldi-NL test. Their spoken responses were recorded and used for evaluating the transcript of decoded responses by Kaldi-NL. Study 1 evaluated the Kaldi-NL performance through its word error rate (WER), percentage of summed decoding errors regarding only digits found in the transcript compared to the total number of digits present in the spoken responses. Average WER across participants was 5.0% (range 0–48%, SD = 8.8%), with average decoding errors in three triplets per participant. Study 2 analyzed the effect that triplets with decoding errors from Kaldi-NL had on the DIN test output (SRT), using bootstrapping simulations. Previous research indicated 0.70 dB as the typical within-subject SRT variability for normal-hearing adults. Study 2 showed that up to four triplets with decoding errors produce SRT variations within this range, suggesting that our proposed setup could be feasible for clinical applications.
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos

The behaviour of multi agent learning in competitive network games is often studied within the context of zero sum games, in which convergence guarantees may be obtained. However, outside of this class the behaviour of learning is known to display complex behaviours and convergence cannot be always guaranteed. Nonetheless, in order to develop a complete picture of the behaviour of multi agent learning in competitive settings, the zero sum assumption must be lifted. Motivated by this we study the Q Learning dynamics, a popular model of exploration and exploitation in multi agent learning, in competitive network games. We determine how the degree of competition, exploration rate and network connectivity impact the convergence of Q Learning. To study generic competitive games, we parameterise network games in terms of correlations between agent payoffs and study the average behaviour of the Q Learning dynamics across all games drawn from a choice of this parameter. This statistical approach establishes choices of parameters for which Q Learning dynamics converge to a stable fixed point. Differently to previous works, we find that the stability of Q Learning is explicitly dependent only on the network connectivity rather than the total number of agents. Our experiments validate these findings and show that, under certain network structures, the total number of agents can be increased without increasing the likelihood of unstable or chaotic behaviours.
Beyond Prototypes: Drivers of Market Categorization in Functional Foods and Nanotechnology

We develop a nuanced understanding of what drives producers’ and audiences’ categorization activities throughout market category development. Prior research on market categories assumes prototypical similarity to be the main or even only driver of categorization. Drawing on a comparative, longitudinal case study of the market categories ‘functional foods’ and ‘nanotechnology’ in Finland, we find that evolving perceptions, knowledge, and goals also impact categorization. Furthermore, our analysis uncovers that goal‐based categorization is characteristic for vital market categories, and the lack thereof may mark a waning interest and category decline. Overall, while previous research stresses the role of clear boundaries and knowledge bases for a viable category, we find that overly strict boundaries may constrain category vitality and renewal.
A continuous cold rubidium atomic beam with enhanced flux and tunable velocity

We present a cold atomic beam source based on a two-dimensional (2D)+ magneto-optical trap (MOT), capable of generating a continuous cold beam of 87Rb atoms with a flux up to 4.3*10^9 atoms/s, a mean velocity of 10.96(2.20) m/s, and a transverse temperature of 16.90(1.56) uK. Investigating the influence of high cooling laser intensity, we observe a significant population loss of atoms to hyperfine-level dark states. To account for this, we employ a multiple hyperfine level model to calculate the cooling efficiency associated with the population in dark states, subsequently modifying the scattering force. Simulations of beam flux at different cooling and repumping laser intensities using the modified scattering force are in agreement with experimental results. Optimizing repumping and cooling intensities enhances the flux by 50%. The influence of phase modulation on both the pushing and cooling lasers is experimentally studied, revealing that the mean velocity of cold atoms can be tuned from 9.5 m/s to 14.6 m/s with a phase-modulated pushing laser. The versatility of this continuous beam source, featuring high flux, controlled velocity, and narrow transverse temperature, renders it valuable for applications in atom interferometers and clocks, ultimately enhancing bandwidth, sensitivity, and signal contrast in these devices.