Miracle-dz/UniFAR-FTUs huggingface dataset:
What Do Machines Tell us About Dementia? Machine Learning Applied to Aging, Dementia and Traumatic Brain Injury Study

Dementia, a syndrome characterized by the progressive deterioration of memory and cognition, arises from different pathologies, with Alzheimer's Disease (AD) its most common cause. Patterns of gene expression during dementia of different etiologies may function as generalist biomarkers of the condition. We used RNA-Seq data from the Allen Dementia and Traumatic Brain Injury Study (ADTBI) to identify differentially expressed genes in brains with dementia. Machine Learning algorithms Decision Trees (DT) and Random Forest (RF) were used to create models to identify dementia samples based on their gene expression profile. Importance analyses were conducted to identify the most relevant genes in each classification model. A total of 1629 differentially expressed (DE) genes were found in brains with the condition. Gene PAN3-AS1 was the only DE gene across more than three brain regions. The artificial intelligence models were capable of identifying correctly up to 92.85% of dementia samples. Our analyses provide interesting insights regarding using brain-specific gene expression profiles as biomarkers of dementia, identifying genes possibly involved with dementia, and guiding future studies in prediction and early identification of the syndrome.
A nonlinear optimal control approach for underactuated power-line inspection robots

Abstract The article proposes a nonlinear optimal (H-infinity) control approach for a type of underactuated power-line inspection robots. To implement this control scheme, the state-space model of the power-line inspection robots undergoes first approximate linearization around a temporary operating point, through first-order Taylor series expansion and through the computation of the associated Jacobian matrices. To select the feedback gains of the controller an algebraic Riccati equation is solved at each time step of the control method. The global stability properties of the control loop are proven through Lyapunov analysis. The significance of the article’s results is outlined in the following: (i) the proposed control method is suitable for treating underactuated robotic systems and in general nonlinear dynamical systems with control inputs gain matrices which are in a nonquadratic form, (ii) by achieving stabilization of the power-line inspection robots in underactuation conditions the proposed control method ensures the reliable functioning of these robotic systems in the case of actuators’ failures or enables the complete removal of certain actuators and the reduction of the weight of these robotic systems, (iii) the proposed control method offers a solution to the nonlinear optimal control problem which is of proven global stability while also remaining computationally tractable, (iv) the proposed nonlinear optimal control method retains the advantages of linear optimal control that is fast and accurate tracking of reference setpoints under moderate variations of the control inputs, and (v) by minimizing the amount of energy that is dispersed by the actuators of the power-line inspection robots the proposed control method improves the autonomy and operational capacity of such robotic systems.
The Relationship Between Insulin Resistance and Obesity and Serum Anti-mullerian Hormone Level in Chinese Women With Polycystic Ovary Syndrome: A Case-control Study.

BackgroundAnti-Mullerian Hormone (AMH) has an important role in the pathophysiological process of polycystic ovary syndrome (PCOS) by regulating follicular development and is closely related to the severity of PCOS. Previous studies have suggested that AMH levels in PCOS is related to hyperandrogenemia levels and are affected by obesity and insulin resistance. however, the exact relationship between AMH levels and obesity and insulin resistance remains unclear. We aimed to elucidate the relationship between insulin resistance and obesity and serum AMH levels in women with PCOS. MethodsWe conducted a retrospective study of 220 women with PCOS who had undergone an assortment of physical, endocrine, and metabolic assessments. AMH levels and various other indicators of PCOS in patients with different body mass indices (BMI) and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) levels were compared. Independent sample t-tests were performed to compare two groups. Pearson correlation analysis was performed to study the correlation between AMH and age, obesity, IR, and other indicators of PCOS, and multiple linear regression analysis was performed to determine the factors influencing AMH. Bilateral tests were performed for all statistical tests. The data were analysed using SPSS v25.0. Statistical significance was defined as a two-sided P-value of less than 0.05. ResultsWe found that >50% of patients with PCOS had insulin resistance, obesity, hyperandrogenemia, and abnormal glucose tolerance. AMH, testosterone (T), and HOMA-IR levels were affected by age, and older participants had lower AMH, HOMA-IR, and androgen levels (P < 0.05). Glycated hemoglobin levels were higher and AMH, luteinizing hormone (LH)/follicle-stimulating hormone (FSH), and LH levels were lower in non-obese individuals than in obese individuals (both P < 0.05). Participants in the non-insulin resistant (IR; NIR) group were older than those in the IR group (P < 0.05). AMH, LH, LH/FSH, and T levels in the IR group were significantly higher than those in the NIR group (P < 0.05). AMH levels were positively correlated with LH, LH/FSH, T, fasting insulin (FINS), and HOMA-IR levels as well as the free androgen index and negatively correlated with age, BMI, and sex hormone binding globulin levels (P < 0.05). Through multiple linear regression, we found that AMH levels could be explained by T, LH/FSH, FINS, sex hormone binding globulin, LH levels, and BMI.ConclusionsSerum AMH levels were closely related to metabolic abnormalities in PCOS. In patients with PCOS, AMH levels were positively correlated with HOMA-IR levels and negatively correlated with BMI. Thus, AMH combined with BMI and HOMA-IR levels could help determine the severity of PCOS.
Manejo clínico y radiológico para la detección temprana en la displasia del desarrollo de la cadera

La displasia del desarrollo de cadera se logra sospechar, al realizar una examinación física completa e historia clínica, donde se pueden obtener signos e historia familiar importante que me indiquen algunos factores de riesgo. Una vez obtenidos estos resultados, se inicia el protocolo de la DDC. Entre más temprano se detecte esta patología, más rápido se inicia el tratamiento y menos secuelas a largo plazo presentan los niños. El método radiológico más efectivo hasta el momento, para el diagnostico de la DDC, es el ultrasonido en <3 meses y radiografías en >3 meses de edad.
Micromechanics of Anisotropic Cross-Linked Enzyme Crystals

Catalytic activity of protein crystals correlates with their particle size due to diffusion limitations. However, because the particles need to be restrained during, e.g., a filtration process, keeping a minimum particle size is required. Thus, knowledge of mechanical properties of enzyme crystals is needed for downstream process design in the biopharmaceutical industry to avoid particle breakage. In this study, hardness and Young’s modulus of cross-linked lysozyme crystals and cross-linked halohydrin dehalogenase from Ilumatobacter coccineus (HheG) crystals are evaluated using atomic force microscopy. The results show that hardness of lysozyme and HheG crystals is in the range of 2–22 MPa. For Young’s modulus of lysozyme crystals, values between 40 and 1820 MPa are measured, while HheG crystals ranging between 40 and 1200 MPa, respectively. The results for lysozyme crystals are comparable to those published in the current literature on native protein crystals. Hence, the cross-linking seems not to signif.
Poly (Ether Ether Ketone) Based Anion Exchange Membrane for Solid Alkaline Fuel Cell: A Review

Solid alkaline fuel cell is employed by polymer anion exchange membrane (AEM) that is permeable to hydroxide ion. A number of polymers have been proposed for AEM which include polysulfone (PSF), poly (phenylene oxide) (PPO), and poly (ether ether ketone) (PEEK). The purpose of this paper was to conduct a critical review on the development of PEEK polymer as AEM, particularly in terms of the fabrication methods, cationic functionalized group reagent, and the eﬀect of fller addition on membrane properties. PEEK is a thermoplastics polymer that possesses superior mechanical, thermal, and chemical stability. The basic development of PEEK-based AEM involves the process of attaching the cationic functionalized group, namely quaternary ammonium (QA), quaternary phosphonium (QP), and imidazolium (Im) groups onto the PEEK backbone. Up to the recent time, the chloromethylation-functionalization and acid-base blending methods are among the commonly used fabrication methods in developing PEEK-based AEM. The increase in the degree of functionalization (DF) caused the basic PEEK-AEM, namely QA-PEEK, QP-PEEK, and Im-PEEK to exhibit high hydroxide conductivity apart from the degradation in alkaline stability, mechanical property, and dimensional stability. The modifcation of the membranes performed through the addition of fller or ionic-crosslink between acid and base may improve the anion conduction pathway, alkaline stability, mechanical property and water retention property of the membrane due to the increase of the DF.
Effect of Viscosity on Solvent-Free Extrusion Emulsification: Varying System Temperature

Solvent-free extrusion emulsification (SFEE) is a new continuous approach for producing nanoparticles from high viscosity molten polymers using a twin-screw extruder. In a previous study, the influence of melt viscosity on lamellae development in the phase-inversion mechanism was investigated for an otherwise fixed system of variables including temperature, mixing intensity, and surfactant content. Varying system temperature in the current study to produce the same melt viscosities as those previously examined did not produce the same linear effect on particle size. The investigation to understand the influence of system temperature on the SFEE mechanism was done by using an inline rheometer and different screw/barrel configurations to simulate different zones of SFEE. Characterizations of the emulsified polyester included colorimetric titrations, particle size analysis, parallel plate rheometry, and gel permeation chromatography (GPC). Raising system temperature has a negative effect on the mechanism for.
Ventilation Systems and Their Impact on Nanoparticle Concentrations in Office Buildings

Nanoparticles (NPs) can infiltrate indoor environments and have a large impact on human health when inhaled. Thus, indoor air quality is highly dependent on the outdoor air and on the filters used in the ventilation systems. In the NanoOffice study, the concentrations and the size distribution of NPs were measured with a five-minute time resolution in twelve office buildings in Umeå. Measurements were taken with an SMPS 3938 during a one-week period in the heating and nonheating seasons. Large differences in ventilation between buildings appeared, despite the fact that similar MVHR ventilation systems were used, and most of them were equipped with F7 filters. The NP concentrations and the simultaneous ventilation flows were measured in buildings with a variable and a more constant ventilation flow. In some cases, an increase in NP concentration could be seen after ventilation turn-on or after an increase in the ventilation flow. There was also one case where the NP concentrations increased in connection with the ventilation being switched off or reducing its flow. However, variable NP concentrations were also shown in buildings with a fairly constant ventilation flow, which was prominent for the two buildings located closest to busy streets. The correlation coefficients between the ventilation flow and particles in different size classes were in general smallest for particles in the smallest size classes, indicating higher filtration efficiency.
ENDOSCOPIC VERSUS HISTOPATHOLOGICAL DIAGNOSIS OF PAN-GASTRITIS IN PATIENTS WITH CHRONIC GASTRIC DYSPEPSIA

Background: Dyspepsia is a clinical syndrome including manifestations related to the upper gastrointestinal tract. Options for evaluating dyspeptic patients include therapeutic trials, testing for Helicobacter pylori, upper gastrointestinal (UGI) radiography, and endoscopy. Objective: To compare the endoscopic and histopathologic diagnosis of gastritis in patients presented with chronic gastric dyspepsia to evaluate the relative frequency and pattern of different types of gastritis in patients presented with chronic gastric dyspepsia. Patient and method: Prospective cross-sectional study on 120 patients with chronic dyspepsia more than 8 weeks. All patients underwent gastroscopy. The findings of gastric inspection were recorded for all patients. Biopsy specimens were taken. Two from the anterior and posterior antrum, two from the anterior and posterior body, and two from any additional area of abnormality. Diagnostic criteria were applied to histological features and each histopathological parameter (chronic inflammation, activity, atrophy, intestinal metaplasia and H. pylori density) were graded for assessment of their severity as 0= absent, 1= mild, 2=moderate or 3= severe in the corpus and antrum. Results: Endoscope revealed normal gastric mucosa in 33 patients (27.5%), gastritis in 64 patients (53.3%) and other lesions in 23 patients (19.2%). As regard gastritis, there was edema in 61 patients (95.3%), erythema in 45 patients (70.3%), atrophy in 10 patients (15.6%) and mucosal nodularity in 10 patients (15.6%). As regard location of gastritis, it was pan-gastritis in 44 patients (68.8%), Antrum predominant gastritis in 10 patients (15.6%) & corpus predominant gastritis in 10 patients (15.6%). As regard other lesions, there was Duodenal ulcer in 7 patients (30.4%), peptic ulcer in 3 patients (13%), esophagitis in 2 patients (8.7%), erosive gastritis in 4 patients (17.4%), upper GIT suspecting malignancy in 2 patients (8.7%) and hiatal hernia in 5 patients (21.7%). Histopathology results were Normal in 18 (18.6%), Chronic inflammation in 79 (81.4%), Neutrophilic infiltration in 60 (61.7%), Glandular atrophy in 10 (10.3%), Intestinal metaplasia in 3 (3.1%) and H. pylori density in 47 (48.5%). Gastritis was detected by Endoscopy in 64 (53.3%) and in 79 (81.4%) by histopathology. This difference was statistically significant (p-value: 0.014). Conclusion: The prevalence of gastritis among the dyspeptic patients is very high since we observed endoscopically gastritis in 64 patients (53.3%) and other lesions in 23 patients (19.2%). The concordance between endoscopic findings and histopathological diagnosis of gastritis was (81%). High prevalence of H.Pylori among the dyspeptic patients (48.5%). Gastritis was better detected by histopathology.
Adaptive Robust Motion Control of Quadrotor Systems Using Artificial Neural Networks and Particle Swarm Optimization

Most of the mechanical dynamic systems are subjected to parametric uncertainty, unmodeled dynamics, and undesired external vibrating disturbances while are motion controlled. In this regard, new adaptive and robust, advanced control theories have been developed to efficiently regulate the motion trajectories of these dynamic systems while dealing with several kinds of variable disturbances. In this work, a novel adaptive robust neural control design approach for efficient motion trajectory tracking control tasks for a considerably disturbed non-linear under-actuated quadrotor system is introduced. Self-adaptive disturbance signal modeling based on Taylor-series expansions to handle dynamic uncertainty is adopted. Dynamic compensators of planned motion tracking errors are then used for designing a baseline controller with adaptive capabilities provided by three layers B-spline artificial neural networks (Bs-ANN). In the presented adaptive robust control scheme, measurements of position signals are only required. Moreover, real-time accurate estimation of time-varying disturbances and time derivatives of error signals are unnecessary. Integral reconstructors of velocity error signals are properly integrated in the output error signal feedback control scheme. In addition, the appropriate combination of several mathematical tools, such as particle swarm optimization (PSO), Bézier polynomials, artificial neural networks, and Taylor-series expansions, are advantageously exploited in the proposed control design perspective. In this fashion, the present contribution introduces a new adaptive desired motion tracking control solution based on B-spline neural networks, along with dynamic tracking error compensators for quadrotor non-linear systems. Several numeric experiments were performed to assess and highlight the effectiveness of the adaptive robust motion tracking control for a quadrotor unmanned aerial vehicle while subjected to undesired vibrating disturbances. Experiments include important scenarios that commonly face the quadrotors as path and trajectory tracking, take-off and landing, variations of the quadrotor nominal mass and basic navigation. Obtained results evidence a satisfactory quadrotor motion control while acceptable attenuation levels of vibrating disturbances are exhibited.
High-throughput screened small molecule targeting glycoprotein 130 prevents articular cartilage degeneration and promotes repair in osteoarthritis

51 OA is the most common form of arthritis affecting hundreds of millions of people worldwide. It results from the progressive breakdown of AC and underlying bone, which ultimately leads to the functional failure of synovial joints. The pathogenesis of OA often begins from an injury to AC, which establishes chronic, low‐grade inflammation mediated by interleukin‐6/ glycoprotein 130 (IL‐6/gp130) and other factors that promote hypertrophy, matrix degradation, and eventual destruction of cartilage. [1,3]
Controlled Self-Assembly and Tuning of Large PbS Nanoparticle Supercrystals

Self-assembly of colloidal nanocrystals (NCs) into ordered superlattices (SLs) and supercrystals (SCs) enables new artificial NC solids for nanoelectronic and nanophotonic applications, which requires critical control of nucleation and growth conditions. Herein large SCs of PbS NCs up to ∼100 μm size were synthesized by two controlled self-assembly methods from NC solutions. Both translational symmetry and orientational ordering of the nanocrystals in the SCs were readily tuned by excess oleic acid ligands and antisolvents. Slow evaporation and the counterdiffusion method of solvents resulted in the formation of single SCs with two different SLs from the same PbS NCs: a face-centered cubic SL with weak yet complex orientational order or a body-centered cubic SL with strong and uniform particle orientation, respectively. The translational ordering was mainly determined by the effective shape of the NCs while the difference in orientational order was a result of the balance between ligand–ligand attraction .
Intra-generational inequalities in young people’s political participation in Europe: The impact of social class on youth political engagement

The declining political engagement of youth is a concern in many European democracies. However, young people are also spearheading protest movements cross-nationally. While there has been research on political inequalities between generations or inter-generational differences, research looking at differences within youth itself, or inequalities between young people from different social backgrounds, particularly from a cross-national perspective, is rare. In this article, we aim to fill this gap in the literature. Using survey data from 2018 on young people aged 18–34 years, we analyse how social class background differentiates groups of young people in their political engagement and activism across nine European countries. We look at social differentiation by social class background for both political participation in a wide variety of political activities including conventional, unconventional, community and online forms of political participation, and at attitudes linked to broader political engagement, to paint a detailed picture of extant inequalities amongst young people from a cross-national perspective. The results clearly show that major class inequalities exist in political participation and broader political engagement among young people across Europe today.
Highly boron-doped germanium layers on Si(001) grown by carbon-mediated epitaxy

Smooth and fully relaxed highly boron-doped germanium layers were grown directly on Si(001) substrates using carbon-mediated epitaxy. A doping level of N A ≈ 1.1 × 10 20 cm − 3 was measured by several methods. Using high-resolution x-ray diffraction we observed different lattice parameters for intrinsic and highly boron-doped samples. A lattice parameter of aGe:B = 5.653 Å was calculated using the results obtained by reciprocal space mapping around the (113) reflection and the model of tetragonal distortion. The observed lattice contraction was adapted and brought in accordance with a theoretical model developed for ultra-highly boron-doped silicon. Raman spectroscopy was performed on the intrinsic and doped samples. A shift in the first order phonon scattering peak was observed and attributed to the high doping level. A doping level of ( 1.28 ± 0.19 ) × 10 20 cm − 3 was calculated by comparison with literature. We also observed a difference between the intrinsic and doped sample in the range of second order phonon scattering. Here, an intense peak is visible at 544.8 cm − 1 for the doped samples. This peak was attributed to the bond between germanium and the boron isotope 11B.
The Clinical Use of Antipsychotic Plasma Levels

Clinicians recognize that monitoring psychotropic levels provides invaluable information to optimize therapy and track treatment adherence, but they lack formal training specifically focused on the use of plasma antipsychotic levels for these purposes. As new technologies emerge to rapidly provide these results, the opportunity to integrate this information into clinical care will grow. This practical handbook clarifies confusing concepts in the literature on use of antipsychotic levels, providing clear explanations for the logic underlying clinically relevant concepts such as the therapeutic threshold and the point of futility, and how these apply to individual antipsychotics. It offers accessible information on the expected correlation between dosages and trough levels, and also provides a clear explanation of how to use antipsychotic levels for monitoring oral antipsychotic adherence, and methods to help clinicians differentiate between poor adherence and variations in drug metabolism. An essential resource for psychiatrists, psychiatric nurse practitioners, and mental health professionals worldwide.