Miracle-dz/UniFAR-FTUs huggingface dataset:
Associations of plasma soluble CD22 levels with brain amyloid burden and cognitive decline in Alzheimer’s disease

CD22 has been suggested to contribute to Alzheimer’s disease (AD) pathogenesis by inhibiting microglial amyloid β (Aβ) phagocytosis. Soluble CD22 (sCD22) generated by cleavage from cell membranes may be a marker of inflammation and microglial dysfunction; but alterations of sCD22 levels in AD and their correlation with AD biomarkers remain unclear. Plasma sCD22 levels were measured in cognitively normal non-AD participants and patients with preclinical AD and AD dementia from a Chinese cohort and the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing. Plasma sCD22 levels were elevated in patients with preclinical and dementia AD. Plasma sCD22 levels were negatively correlated with cerebrospinal fluid (CSF) Aβ42 levels and Aβ42/Aβ40, and positively correlated with CSF phosphorylated tau levels and brain Aβ burden, but negatively correlated with cognitive function. Moreover, higher plasma sCD22 levels were associated with faster cognitive decline during follow-up. These findings suggest that CD22 plays important roles in AD development, and that sCD22 is a potential biomarker for AD.
Exportin 1 modulates life span by regulating nucleolar dynamics via the autophagy protein LGG-1/GABARAP

Altered nucleolar and ribosomal dynamics are key hallmarks of aging, but their regulation remains unclear. Building on the knowledge that the conserved nuclear export receptor Exportin 1 (XPO-1/XPO1) modulates proteostasis and life span, we systematically analyzed the impact of nuclear export on protein metabolism. Using transcriptomic and subcellular proteomic analyses in nematodes, we demonstrate that XPO-1 modulates the nucleocytoplasmic distribution of key proteins involved in nucleolar dynamics and ribosome function, including fibrillarin (FIB-1/FBL) and RPL-11 (RPL11). Silencing xpo-1 led to marked reduction in global translation, which was accompanied by decreased nucleolar size and lower fibrillarin levels. A targeted screen of known proteostatic mediators revealed that the autophagy protein LGG-1/GABARAP modulates nucleolar size by regulating RPL-11 levels, linking specific protein degradation to ribosome metabolism. Together, our study reveals that nucleolar size and life span are regulated by LGG-1/GABARAP via ribosome protein surveillance.
Learning Higher-Order Transitional Probabilities in Nonhuman Primates

The extraction of cooccurrences between two events, A and B, is a central learning mechanism shared by all species capable of associative learning. Formally, the cooccurrence of events A and B appearing in a sequence is measured by the transitional probability (TP) between these events, and it corresponds to the probability of the second stimulus given the first (i.e., p(B|A)). In the present study, nonhuman primates (Guinea baboons, Papio papio) were exposed to a serial version of the XOR (i.e., exclusive-OR), in which they had to process sequences of three stimuli: A, B, and C. In this manipulation, first-order TPs (i.e., AB and BC) were uninformative due to their transitional probabilities being equal to . 5 (i.e., p(B|A) = p(C|B) = . 5), while second-order TPs were fully predictive of the upcoming stimulus (i.e., p(C|AB) = 1). In Experiment 1, we found that baboons were able to learn second-order TPs, while no learning occurred on first-order TPs. In Experiment 2, this pattern of results was replicated, and a final test ruled out an alternative interpretation in terms of proximity to the reward. These results indicate that a nonhuman primate species can learn a nonlinearly separable problem such as the XOR. They also provide fine-grained empirical data to test models of statistical learning on the interaction between the learning of different orders of TPs. Recent bioinspired models of associative learning are also introduced as promising alternatives to the modeling of statistical learning mechanisms.
Sleep Dysfunction in Adolescents With Prolonged Postconcussion Symptoms: A Reciprocal Coupling of Traumatic Brain Injury and Sleep-Related Problems.

CLINICAL SCENARIO Concussions are often neglected injuries that affect children and adolescents. Two physiological responses to a concussion are an ionic flux and an increased indiscriminate release of glutamate, which leads to an increase of intracellular calcium and extracellular potassium. This can ultimately result in sleep dysfunction, which often occurs after concussion and has long been thought of as simply another concussion symptom. FOCUSED CLINICAL QUESTION Does the likelihood of prolonged postconcussion symptoms increase with reported sleep-related problems (SRPs) in young athletes (8-18 y) compared to concussed young athletes without SRPs and healthy controls? SUMMARY OF KEY FINDINGS Four cohort studies with level 2/3 evidence measured subjective and objective sleep dysregulations in concussed and healthy populations. Overall, there was a difference in subjective SRPs between concussed and healthy patients. This correlated with other studies where worse sleep scores during the acute phase of concussion and increased SRPs led to worse ImPACT scores in patients 3 to 12 months postconcussion and longer overall recovery. Objective sleep dysfunction measures were significantly worse in concussed patients than in healthy controls, but no significant difference existed in melatonin measures. CLINICAL BOTTOM LINE There is strong evidence that sleep dysfunction is both a symptom of concussion as well as a causal factor of prolonged postconcussion symptoms. These studies show that sleep dysregulation is not always evident in objective measurements, leading to the strong possibility of a functional dysregulation of the sleep-wake cycle that is evident solely from subjective reports. STRENGTH OF RECOMMENDATION While there are strong cohort studies researching the role of sleep in those with postconcussion symptoms, the nature of sleep studies prevents the production of strong, high-level evidence studies such as randomized control trials. Thus, there is level B evidence that the likelihood of prolonged postconcussion symptoms is increased by a higher amount of SRPs.
Cholecystokinin promotes functional expression of the aquaglycerol channel aquaporin 7 in adipocytes

Cholecystokinin (CCK) promotes triglyceride storage and adiponectin production in white adipose tissue (WAT), suggesting that CCK modulates WAT homeostasis. Our goal was to investigate the role of CCK in regulating the expression and function of the aquaglycerol channel aquaporin 7 (AQP7), a protein that is pivotal for maintaining adipocyte homeostasis and preserving insulin responsiveness.
REDD-PAC Cohort Description: Researching Dual Diagnosis – Prognosis and Characteristics

Abstract Objective Evidence from real-world integrated dual diagnosis treatment programs is limited. In 2017 we decided to establish the REDD-PAC cohort with the aim to provide more in-depth information regarding the effect of integrated treatment. Methods The REDD-PAC cohort includes more than 2,500 patients with dual diagnosis that have been treated at an in-patient department specializing in the integrated treatment of both psychiatric illness and substance use disorder in Denmark in the period from 2002 to 2017. The collected data included information on diagnosis as well as patient-completed questionnaires regarding anxiety, depression, self-worth, and use of substances. Data regarding medications prescribed and administered, weight, height, and blood pressure were also included. Results The primary diagnosis was psychosis spectrum disorder (37.0%), followed by affective disorders (18.8%). More than two-thirds of the patients were male, and most patients had a weak connection to the labor market and basic schooling. Patients were generally very motivated for treatment. Conclusions Further linking the data to Danish national register data makes it possible to follow individual trajectories pre- and post-admission as well as to access complete follow-up data regarding long-term outcomes, e.g., use of health services, mortality, morbidity, crime, and social circumstances. This article describes both the overarching aims of the REDD-PAC cohort and the basic diagnostic and sociodemographic characteristics of the cohort.
Maximum longevity and juvenile mortality in zoo‐housed mangabeys

Abstract Little is known about the biology of grey‐cheeked and black crested mangabeys (Lophocebus albigena and Lophocebus aterrimus, respectively). As these primates face threats in the wild, well‐monitored zoo‐housed populations with up to date registries are becoming increasingly valuable to acquire species knowledge and to support conservation efforts. We used international studbooks to extract demographic and genetic information on 519 mangabeys to investigate how life history and parent‐related variables influence maximum longevity and juvenile mortality. Generalized linear mixed models, as well as survival analyses, were applied. Results showed that females lived significantly longer than males, which is not uncommon in primates. Furthermore, our results indicated that the maximum longevity is lower for individuals living in European zoos versus individuals from North American zoos, which may be due to a combination of environmental differences and potential founder effects. We also show that the maternal maximum longevity is positively related to the maximum longevity of the offspring, which may be explained by the inheritance of “good genes“. However, the age of the mother at the moment of birth was negatively related to the maximum longevity of the offspring, which contradicts literature that states that, in primates, more experienced and thus older mothers will raise their offspring better than less experienced mothers. Instead, it is more likely that an “optimal age range” exists for breeding mothers. Our study provides insights into the population biology of captive mangabeys and may be helpful for identifying future research priorities to optimize primate health and welfare directly ex situ, and indirectly in situ.
[Changes in the structure of intestinal mucosal flora in colorectal cancer patients].

OBJECTIVE To investigate the changes in bacterial flora in fecal samples, at the tumor loci and in adjacent mucosa in patients with colorectal cancer (CRC). METHODS We collected fecal samples from 13 patients with CRC and 20 healthy individuals and tumor and adjacent mucosa samples from 6 CRC patients. The differences in bacterial composition between the fecal and mucosa samples were analyzed with 16S rDNA sequencing and bioinformatics methods. We also detected the total number of bacteria in the feces using flow cytometry, isolated and identified the microorganisms in the fecal and mucosa samples using common bacterial culture media. We further tested the effects of 7 isolated bacterial strains on apoptosis of 3 CRC cell lines using lactate dehydrogenase detection kit. RESULTS The bacterial α-diversity in the feces of healthy individuals and in adjacent mucosa of CRC patients was significantly higher than that in the feces and tumor mucosa in CRC patients (P < 0.05). Lactobacillaceae is a specific bacteria in the feces, while Escherichia, Enterococcus, and Fusobacterium are specific bacteria in tumor mucosa of CRC patients as compared with healthy individuals. Cell experiment with3 CRC cell lines showed that Bacteroides fragilis isolated from the tumor mucosa of CRC patients produced significant inhibitory effects on cell proliferation (P < 0.0001), while the isolated strain Fusobacterium nucleatum obviously promoted the proliferation of the cell lines (P < 0.001). CONCLUSION The bacterial flora in the feces, tumor mucosa and adjacent mucosa of CRC patients is significantly different from that in the feces of healthy individuals, and the fecal flora of CRC patients can not represent the specific flora of the tumor mucosa. Inhibition of F. nucleatum colonization in the tumor mucosa and promoting B. fragilis colonization may prove beneficial for CRC treatment.
Protective role of chaperone-mediated autophagy against atherosclerosis

Significance Cardiovascular diseases remain the leading cause of death worldwide, with atherosclerosis being the most common source of clinical events. Metabolic changes with aging associate with concurrent increased risk of both type 2 diabetes and cardiovascular disease, with the former further raising the risk of the latter. The activity of a selective type of autophagy, chaperone-mediated autophagy (CMA), decreases with age or upon dietary excesses. Here we study whether reduced CMA activity increases risk of atherosclerosis in mouse models. We have identified that CMA is up-regulated early in response to proatherogenic challenges and demonstrate that reduced systemic CMA aggravates vascular pathology in these conditions. We also provide proof-of-concept support that CMA up-regulation is an effective intervention to reduce atherosclerosis severity and progression.
Finite-Sample Analysis of Deep CCA-Based Unsupervised Post-Nonlinear Multimodal Learning

Canonical correlation analysis (CCA) has been essential in unsupervised multimodal/multiview latent representation learning and data fusion. Classic CCA extracts shared information from multiple modalities of data using linear transformations. In recent years, deep neural networks-based nonlinear feature extractors were combined with CCA to come up with new variants, namely the “DeepCCA” line of work. These approaches were shown to have enhanced performance in many applications. However, theoretical supports of DeepCCA are often lacking. To address this challenge, the recent work of Lyu and Fu (2020) showed that, under a reasonable postnonlinear generative model, a carefully designed DeepCCA criterion provably removes unknown distortions in data generation and identifies the shared information across modalities. Nonetheless, a critical assumption used by Lyu and Fu (2020) for identifiability analysis was that unlimited data is available, which is unrealistic. This brief paper puts forth a finite-sample analysis of the DeepCCA method by Lyu and Fu (2020). The main result is that the finite-sample version of the method can still estimate the shared information with a guaranteed accuracy when the number of samples is sufficiently large. Our analytical approach is a nontrivial integration of statistical learning, numerical differentiation, and robust system identification, which may be of interest beyond the scope of DeepCCA and benefit other unsupervised learning paradigms.
Harmful electromagnetic environment near transmission tower

The penetrati on of RF and microwave elec tromagnetic field s into human body and its possible consequences are studied. Earli er observations are theoretically verified whi ch show that the radiation from high power transmission tower is more harmful to the people living nearby as compared to that from the low power tran smi ss ion tower. Absorp tio n of electric component of electromagnetic rad iation fall ing on the body, whi ch increases with frequency, may result into temperature ri se in the body. However, the magneti c induction, being very weak in co mpariso n to the earth 's magneti c fie ld. is ;;:xpected to have no effect on the human body.
Cancer risk and mortality after solid organ transplantation: A population‐based 30‐year cohort study in Finland

Cancer is a significant cause of morbidity and mortality after solid organ transplantation (SOT) and related to lifelong immunosuppression. This retrospective registry study assessed for the first time in Finland population‐based cancer risk and cancer mortality after all SOTs (lung and childhood transplantations included) as standardized incidence ratios (SIRs) and standardized mortality ratios (SMRs). Data from transplant registries were linked with the data of Finnish Cancer Registry and Statistics Finland. We followed 6548 consecutive first SOT recipients from 1 January 1987 to 31 December 2016 translating to 66 741 person‐years (median follow‐up time 8.9 years [interquartile range 4.0‐15.1]). In total, 2096 cancers were found in 1483 patients (23% of all patients). Majority of cancers (53%) were nonmelanoma skin cancers (NMSCs). The overall SIR was 3.6 (95% confidence interval [CI]: 3.5‐3.8) and the SIR excluding NMSCs was 2.2 (95% CI: 2.0‐2.3). SIR for all cancers was highest for heart (5.0) and lowest for liver (2.7) recipients. Most common cancer types after NMSCs were non‐Hodgkin lymphoma (NHL), SIR 9.9 (95% CI: 8.5‐11.4) and kidney cancer, SIR 7.3 (95% CI: 6.0‐8.8). Cancer‐related deaths were 17% (n = 408) of all deaths after first month post transplantation. SMR for all cancers was 2.5 (95% CI: 2.2‐2.7) and for NHL 13.6 (95% CI: 10.7‐16.8). Notably, overall SIR for cancer was lower in later period (2000‐2016), 3.0 (95% CI: 2.8‐3.2), than in earlier period (1987‐1999), 4.3 (95% CI: 4.0‐4.5), P < . 001. Decrease in cancer incidence was temporally associated with major changes in immunosuppression in the 2000s.
Special issue editorial on emerging trends in internet of things for e‐health and medical supply chain systems

E-health is an emerging topic — it includes ways to provide better patient diagnosis and smarter ways to analyse medical research through the use of the internet and digital technologies. E-health plays a crucial role during the current global pandemic, allowing online, mobile and social media consultations and data processing for population health surveillance, case identification and contact tracing. E-health has leveraged the billions of mobile and other connected devices, their apps and applications of AI, machine learning and natural language processing (Budd et al., 2020) for public health worldwide and even for pain control. For example, Pujol et al. (2019) report the use of Emotion Recognition software in Smart Cities to detect and control patients' pain when they are unable to express it.
Site response, soil-structure interaction and structure-soil-structure interaction for performance assessment of buildings and nuclear structures

During an earthquake, the flexibility of the near-surface soil affects the dynamic response of the supported structure. This dynamic interaction is termed soil-structure interaction (SSI). Soil-structure interaction is important for performance-based design, which has seen increasing use in earthquake engineering in the United States in the last decade. Soil-structure interaction analysis is preceded by siteresponse analysis, which is the process of calculating the response of a soil profile to rock motion at depth. Soil flexibility also results in the interaction of adjacent structures through intermediate soil. This interaction is termed structure-soil-structure interaction (SSSI), which can be important for the performance assessment of buildings, especially those constructed in dense, urban areas. The studies presented herein share the common goal of a better understanding of the phenomena of site response, SSI and SSSI, and advancing the numerical tools that simulate these phenomena. The state-of-the-art in site-response and SSI analysis of buildings and nuclear structures involves the use of linear or equivalent-linear numerical methods that function in the frequency domain. However, nonlinear time-domain methods may be more appropriate for cases involving intense earthquakes that result in highly nonlinear soil and foundation response. Such nonlinear methods are available but rarely used due to the higher computational requirements and lack of experience with analysts and regulators. This report assesses industry-standard equivalent linear and nonlinear site-response and SSI analysis programs, and provides practical guidelines on their usage. The assessment includes benchmarking the time-domain programs against frequency-domain programs for analyses involving almost linear soil response, and a comparison of the predictions of these programs for analyses involving highly nonlinear soil and foundation response. The assessment also identifies the various pitfalls that can be expected when using these programs and suggests workarounds. Structure-soil-structure interaction has been rarely studied, mainly due to the lack of experimental or field-based case-studies that demonstrate its effects on structural response. The US National Science Foundation funded a research project titled ‘Seismic Performance Assessment of Buildings in Dense Urban Environments’ to understand the significance of SSSI in buildings through a series of centrifuge experiments and numerical simulations. The experiments involve small-scale building models with commonly-found superstructure and foundation configurations. This report describes some of these centrifuge experiments, and their numerical simulations, which are comprehensive and performed using both equivalent-linear and nonlinear SSI analysis programs. The numerical and experimental results show that wave-based SSSI does not significantly affect the global response of the buildings considered in this study.
Checking Quality Criteria for ISO 15926-8 compliant Installation Descriptions

An implementation of ISO 15926-8 compliant Installation Descriptions must comply with a set of quality criteria to verify typing, literals, subclasses, part 8 adherence and be a conservative extension of ISO 15926-8. The first criteria can be checked with a combination of SPARQL and DL queries together with an Integrity Constraints Validator. A typical implementation was found to be a model conservative extension of ISO 15926-8, and limiting the allowed axioms is sufficient to ensure a model conservative extension. An extended model conservative extension with stricter requirements was found to limit concept unsatisfiability. Martin Giese is the supervisor for this thesis.
A wide–tuning range transfomer–based RF CMOS oscillator

This paper presents a method of producing a Voltage Controlled Oscillator (VCO) with a wide enough tuning range, such that the correct centre frequency can be ensured. This is achieved without compromising the power consumption of the circuit. The work is novel in that a transformer is preferred to an inductor to help maximize this tuning range. The design was fabricated in a CMOS 0. 18µm technology, and has a frequency tuning range between 2.35 and 2.95GHz, drawing 20mA from a 1.8V supply. A staggered-tuning range was employed to minimize the effect of noise on the analog control voltage, so the control process is a dual one, with both analog and digital controls. The oscillator produces quadrature outputs which are essential for many transceiver systems.
Optimal Power Flow considering intermittent Wind Power using Particle Swarm optimization

Inclusion of renewable generation in the existing network is necessary due to the increase in raw material cost for generating electricity and growing demand. Optimal power flow incorporating wind generation is solved using Particle swarm optimization (PSO) in this paper. Weibull distribution function is used for modelling the intermittent nature of wind farm and then it is incorporated in the existing power system network. A direct cost function of the wind power purchased is presented in the paper. Cases without and with wind power are solved using PSO due to its ability in solving the non linear problems. The analysis is carried out on IEEE 30 bus test system and the obtained results are compared with the few existing methods. From the results it can be inferred that this method provides enhanced results.
Rule Interpolation by Spatial Geometric Representation

In this article we will present a new multidimensional fuzzy interpolation method. This method, compared to the existing methods, does not require convex and normal fuzzy sets in the rules, but can be applied for arbitrary type of fuzzy sets. The new method gives an interpretable conclusion in every case, unlike the previously published methods. In the article we will also show a specialized, simplified version of the new method, which uses three of the most wide spread set types in practice: the crisp, the triangular, and the trapezoidal fuzzy sets. The difference between the new and the former methods will be pointed out.