Miracle-dz/UniFAR-FTUs huggingface dataset:
Pdro, a Protein Associated with Late Endosomes and Lysosomes and Implicated in Cellular Cholesterol Homeostasis

Background Cellular cholesterol is a vital component of the cell membrane. Its concentration is tightly controlled by mechanisms that remain only partially characterized. In this study, we describe a late endosome/lysosomes–associated protein whose expression level affects cellular free cholesterol content. Methodology/Principal Findings Using a restricted proteomic analysis of detergent-resistant membranes (DRMs), we have identified a protein encoded by gene C11orf59. It is mainly localized to late endosome/lysosome (LE/LY) compartment through N-terminal myristoylation and palmitoylation. We named it Pdro for protein associated with DRMs and endosomes. Very recently, three studies have reported on the same protein under two other names: the human p27RF-Rho that regulates RhoA activation and actin dynamics, and its rodent orthologue p18 that controls both LE/LY dynamics through the MERK-ERK pathway and the lysosomal activation of mammalian target of rapamycin complex 1 by amino acids. We found that, consistent with the presence of sterol-responsive element consensus sequences in the promoter region of C11orf59, Pdro mRNA and protein expression levels are regulated positively by cellular cholesterol depletion and negatively by cellular cholesterol loading. Conversely, Pdro is involved in the regulation of cholesterol homeostasis, since its depletion by siRNA increases cellular free cholesterol content that is accompanied by an increased cholesterol efflux from cells. On the other hand, cells stably overexpressing Pdro display reduced cellular free cholesterol content. Pdro depletion-mediated excess cholesterol results, at least in part, from a stimulated low-density lipoprotein (LDL) uptake and an increased cholesterol egress from LE/LY. Conclusions/Significance LDL-derived cholesterol release involves LE/LY motility that is linked to actin dynamics. Because Pdro regulates these two processes, we propose that modulation of Pdro expression in response to sterol levels regulates LDL-derived cholesterol through both LDL uptake and LE/LY dynamics, to ultimately control free cholesterol homeostasis.
Physicochemical Properties of Oil of Polygala multiflora Poir. Grown in Burkina Faso

Polygala multiflora is an important source of oil that needs to be valorized. This study aimed to investigate the potential of P. multiflora as an oleaginous plant. The physical and chemical properties of oil extracted from P. multiflora seeds were analyzed according to standard methods. The main physical parameters were yield of oil (43.25 ± 2.3%), relative density (0.912 ± 0.031), melting point (2.42±0.6°C), and refraction index (1.45±0.02), yellow light color. Chemical characteristics were: free fatty acids (1.97±0.2 % ac. Oleic), acidity index (6.93±0.14 mg KOH/g), saponification index (186.3±9.31mg KOH/g), iodine index (40.37±0.5 gI 2 /100g), and peroxide index (1.58±0.05 Meq O 2 /kg). Overall, P. multiflora seed oil has shown properties in line with standards for food, cosmetic and pharmaceutical use.
Molecular differences between cerebral blood volume and vessel size in glioblastoma multiforme

The purpose of this study was to investigate the molecular background of cerebral blood volume (CBV) and vessel size (VS) of capillaries in glioblastoma multiforme (GBM). Both parameters are derived from extended perfusion MR imaging. A prospective case study including 21 patients (median age 66 years, 10 females) was performed. Before operation, CBV and VS of contrast enhancing tumor were assessed. Tissue was sampled from the assessed areas under neuronavigation control. After RNA extraction, transcriptional data was analyzed by Weighted Gene Co-Expression Network Analysis (WGCNA) and split into modules based on its network affiliations. Gene Set Enrichment Analysis (GSEA) identified biological functions or pathways of the genetic modules. These were applied on 484 GBM samples of the TCGA database. Ten modules were highly correlated to CBV and VS. One module was exclusively associated to VS and highly correlated to hypoxia, another one exclusively to CBV showing strong enrichments in the Epithelial Growth Factor (EGF) pathway and Epithelial-to-Mesenchymal-Transition (EMT). Moreover, patients with increased CBV and VS predominantly showed a mesenchymal gene-expression, a finding that could be corroborated by TCGA data. In conclusion, CBV and VS mirror different genetic pathways and reflect certain molecular subclasses of GBM.
Teachers' Perceptions of Differentiated Learning in Merdeka Curriculum in Elementary Schools

The curriculum is dynamic, meaning it can continue to change according to the times. The Merdeka Curriculum is a curriculum that aims to optimize the talents and interests of students with character and competence. This study aimed to analyze teachers' perceptions of differentiated learning in the independent curriculum, especially at the elementary school level. This type of research is qualitative. The method used is a mixed method using questionnaires and interviews with 30 teachers. The instrument used in collecting data is a questionnaire. Research data were analyzed using data triangulation analysis. The study results show that the teacher's enthusiasm for learning the new curriculum is very high, and the participation of teachers in the independent curriculum training is also relatively high. However, this is not directly proportional to the teacher's understanding of differentiated learning. Only a few teachers already understand differentiated learning, and most must implement it in their classes. It was concluded that teachers understand the need for curriculum changes that follow community developments, so teachers are not burdened with curriculum changes.
Chapter 19 The Sagaing Fault, Myanmar

The Sagaing Fault is amongst the longest and most active strike-slip faults in the world (e.g. Molnar & Dayem 2010; Robinson et al. 2010; Searle & Morley 2011). It accommodates more than half of the right-lateral motion between Sundaland and India within the diffuse plate boundary along the eastern margin of India, which occupies much of Myanmar (e.g. Vigny et al. 2003; Nielsen et al. 2004; Socquet et al. 2006) (Fig. 19.1). Acting as a ridge-subduction transform (Le Dain et al. 1984; Guzman-Speziale & Ni 1996; Yeats et al. 1997), the 1500 km long Sagaing Fault links major thrust systems in the north such as the Naga, Lohit and Main Central thrust zones near the eastern Himalayan syntaxis to the Andaman Sea spreading centre in the south (e.g. Win Swe 1970; Le Dain et al. 1984; Guzman-Speziale & Ni 1993; Curray 2005). Acting as a sliver-bounding lithospheric strike-slip partition inboard of a 3700 km long section of oblique subduction at the Sunda Trench, it links to the dextral West Andaman and Sumatran faults in the south (e.g. Curray et al. 1979; Nielsen et al. 2004; Curray 2005; Searle & Morley 2011). Fig. 19.1. Tectonic setting of the Sagaing Fault. Modified after Morley et al. (2011), Soe Thura Tun & Maung Thein (2012), Wang et al. (2014) and Morley & Alvey (2015). Topographic scarps, lineaments, earthquake clusters and gravity anomalies along the trace of the Sagaing Fault have long been recognized as indicating the presence of an important north–south-trending structure west of the Shan Plateau (e.g. La Touche 1913; Coggin Brown & Leicester 1933; Chhibber 1934; Dey 1968; Aung Khin et al. 1970) (Fig. 19.2a). Large parts of the fault were first …
Shade netting reduces sunburn damage and soil moisture depletion in ‘Granny Smith’ apples

Acta Hortic. 1228. ISHS 2018. DOI 10.17660/ActaHortic.2018. 1228.11 Proc. XI Int. Symp. on Integrating Canopy, Rootstock and Environmental Physiology in Orchard Systems Ed.: L. Corelli Grappadelli 85 Shade netting reduces sunburn damage and soil moisture depletion in ‘Granny Smith’ apples L. Kalcsits1,2, L. Asteggiano1,2, T. Schmidt3, S. Musacchi1,2, S. Serra1,2, D.R. Layne2 and G. Mupambi1 1Tree Fruit Research and Extension Center, Washington State University, Wenatchee, WA, USA; 2Department of Horticulture, Washington State University, Pullman, WA, USA; 3Washington Tree Fruit Research Commission, Wenatchee, WA, USA.
NTTCS Textual Entailment Recognition System for NTCIR-9 RITE

This paper describes initial Japanese Textual Entailment Recognition (RTE) systems that participated Japanese Binary- class (BC) and Multi-class (MC) subtasks of NTCIR-9 RITE. Our approaches are based on supervised learning techniques: Decision Tree (DT) and Support Vector Machine (SVM) learners. The employed features for the learners include text fragment based features such as lexical, syntactic, and semantic ones and new surface/deep case structure based features. These features are designed so as to assign entail- ment directions to a text pair in MC subtask. The authors submitted three runs to each of BC and MC subtasks. The best performance in the three runs achieves an accuracy of 0.548 in BC subtask and 0.452 in MC subtask, which were better than the averaged accuracy of all team submissions.
Formation of Stable Complexes Between Urokinase and a Human Urinary Component

Summary Human urine was found to contain multiple species of urokinase (UK)-like plasminogen activator (PA) activity when subjected to concentration and/or dialysis and analyzed by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and zymography. Untreated, freshly voided urine contained only Mr = 52,000 and 35,000 UK while dialyzed or undialyzed urine concentrates contained additional PA activity at Mr = 80,000 and 95.000. SDS-PAGE of incubation mixtures of radioiodinated UK (Mr = 52,000 or 35,000) and urine concentrates revealed the presence of radiolabeled complexes with MrS of 80,000 and 95.000. The bond(s) involved in complex formation was also relatively resistant to heat and reduction. Treatment of radioiodinated UK with the serine proteinase inhibitor, p-nitrophenyl guanidinobenzoate, prior to incubation with dialyzed, concentrated urine prevented formation of the complexes. In addition, the enzymatic activity of the Mr = 80,000 and 95,000 species was unaffected by diisopropyl fluorophosphate. These results indicate that UK forms SDS-stable complexes with a urinary component that has a Mr of approximately 40,000. The results further suggest that these complexes express PA activity when analyzed by SDS- PAGE and zymography.
Inspiring creative constructivist play

Inline with the BSCS 5E instructional model, we are using constructivist learning to teach physics in a heavily modified Minecraft game server. However, not all players like to be creative or are good at it. Because of this, we are creating three inspiration interventions to study their impact on learning and creative outcomes. Our model of inspiration incorporates three of the creativity resources defined by Investment Theory: knowledge, motivation and environment. We report on our current protocol, piloting of the protocol and our evolving methods of intervention creation.
Multiclass Text Classification A Decision Tree based SVM Approach

This paper discusses about combining Support Vector Machine and decision trees for multi class text classification. Support Vector Machines are trained on each class at each level of the tree and the SVM which is more successful in predicting a class at that level is selected as the decision in that node. Thus a tree is constructed with different SVM in each node. And the tree constructed is used for classifying the multiclass text. Results had shown that this method works comparably better than the other classifiers like simple SVM and Naïve Bayes.
A Low-power, High-gain and Excellent Noise Figure GaN-on-SiC LNA Monolithic Microwave Integrated Circuit (MMIC) operating at Ka-band for 5G/6G Application

A 25-40 GHz monolithic low-noise amplifier (LNA) is designed and fabricated with the 100 nm gallium nitride on silicon carbide (GaN-on-SiC) technology. This four-stage-cascade monolithic LNA performs a low DC power consumption of 150 mW and noise figure of 1.6-2.2 dB. Moreover, the gain of 34-37 dB with the continuous wave of more than 2 W over 24 hours can be achieved covering the operating bandwidth. Hence, this state-of-art LNA possesses a great potential to be directly integrated with GaN power amplifiers and other microwave components to realize the high-integration, high-reliability, and high-power RF front-end.
PAT family proteins pervade lipid droplet cores Published, JLR Papers in Press, March 1, 2005. DOI 10.1194/jlr.M400323-JLR200

The PAT family proteins, named after perilipin, adipophilin, and the tail-interacting protein of 47 kDa (TIP47), are implicated in intracellular lipid metabolism. They associate with lipid droplets, but how is completely unclear. From immunofluorescence studies, they are reported to be restricted to the outer membrane monolayer enveloping the lipid droplet and not to enter the core. Recently, we found another kind of lipid droplet-associated protein, caveolin-1, inside lipid droplets. Using freeze-fracture immunocytochemistry and electron microscopy, we now describe the distributions of perilipin and caveolin-1 and of adipophilin and TIP47 in lipid droplets of adipocytes and macrophages. All of these lipid droplet-associated proteins pervade the lipid droplet core and hence are not restricted to the droplet surface. Moreover, lipid droplets are surprisingly heterogeneous with respect to their complements and their distribution of lipid droplet-associated proteins. Whereas caveolin-1 is synthesized in the endoplasmic reticulum and is transferred to the lipid droplet core by inundating lipids during droplet budding, the PAT proteins, which are synthesized on free ribosomes in the cytoplasm, evidently target to the lipid droplet after it has formed. How the polar lipid droplet-associated proteins are accommodated among the essentially hydrophobic neutral lipids of the lipid droplet core remains to be determined.
Navigation system with real-time finite element analysis for minimally invasive surgery

This paper presents a navigation system for minimally invasive surgery, especially laparoscopic surgery in which operates in abdomen. Conventional navigation systems show virtual images by superimposing models of target tissues on real endoscopic images. Since soft tissues within the abdomen are deformed during the surgery, the navigation system needs to provide surgeons reliable information by deforming the models according to their biomechanical behavior. However, conventional navigation systems don't consider the tissue deformation during the surgery. We have been developing a new real-time FEM-based simulation for deforming a soft tissue model by using neural network[1]. The network is called the neuroFEM. The incorporation of the neuroFEM into the navigation leads to improve the accuracy of the navigation system. In this paper, we propose a new navigation system with a framework of the neuroFEM.
Robust Truncated Hinge Loss Support Vector Machines

The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its popularity, however, SVM has some drawbacks in certain situations. In particular, the SVM classifier can be very sensitive to outliers in the training sample. Moreover, the number of support vectors (SVs) can be very large in many applications. To circumvent these drawbacks, we propose the robust truncated hinge loss SVM (RSVM), which uses a truncated hinge loss. The RSVM is shown to be more robust to outliers and to deliver more accurate classifiers using a smaller set of SVs than the standard SVM. Our theoretical results show that the RSVM is Fisher-consistent, even when there is no dominating class, a scenario that is particularly challenging for multicategory classification. Similar results are obtained for a class of margin-based classifiers.
Electrogenic Steps Associated with Substrate Binding to the Neuronal Glutamate Transporter EAAC1*

Glutamate transporters actively take up glutamate into the cell, driven by the co-transport of sodium ions down their transmembrane concentration gradient. It was proposed that glutamate binds to its binding site and is subsequently transported across the membrane in the negatively charged form. With the glutamate binding site being located partially within the membrane domain, the possibility has to be considered that glutamate binding is dependent on the transmembrane potential and, thus, is electrogenic. Experiments presented in this report test this possibility. Rapid application of glutamate to the wild-type glutamate transporter subtype EAAC1 (excitatory amino acid carrier 1) through photo-release from caged glutamate generated a transient inward current, as expected for the electrogenic inward movement of co-transported Na+. In contrast, glutamate application to a transporter with the mutation A334E induced transient outward current, consistent with movement of negatively charged glutamate into its binding site within the dielectric of the membrane. These results are in agreement with electrostatic calculations, predicting a valence for glutamate binding of −0.27. Control experiments further validate and rule out other possible explanations for the transient outward current. Electrogenic glutamate binding can be isolated in the mutant glutamate transporter because reactions, such as glutamate translocation and/or Na+ binding to the glutamate-bound state, are inhibited by the A334E substitution. Electrogenic glutamate binding has to be considered together with other voltage-dependent partial reactions to cooperatively determine the voltage dependence of steady-state glutamate uptake and glutamate buffering at the synapse.
On computable numbers, with an application to the Entscheidungsproblem

1. Computing machines. 2. Definitions. Automatic machines. Computing machines. Circle and circle-free numbers. Computable sequences and numbers. 3. Examples of computing machines. 4. Abbreviated tables Further examples. 5. Enumeration of computable sequences. 6. The universal computing machine. 7. Detailed description of the universal machine. 8. Application of the diagonal process. Pagina 1 di 38 On computable numbers, with an application to the Entscheidungsproblem A. M.
Prediction of eigenfrequencies in non-rectangular rooms with machine learning

Knowing the eigenfrequencies of a space is important for designing its acoustic performance at low frequencies. The eigenfrequencies can be analytically calculated for a limited set of room shapes, while for more complex domains it is common to use Finite Element methods (FEM). This paper investigates the use of Convolutional Neural Networks (CNN) to predict the eigenfrequencies based on a digital image of a 2D room shape. FEM software is used to create a training set of pseudorandom room shapes and identify their eigenfrequencies. In this study, only rooms with rigid walls are studied, and the CNN is used to predict the first ten eigenfrequencies for rooms with normalized surface area. The rooms have three to sixteen walls, including slanted walls and non-convex geometries, as well as corridor rooms. The accuracy of this approach is compared to the FEM solutions, as well as to analytical solutions for room shapes with solutions available.
Noninvasive ventilation in acute respiratory failure

After the institution of positive-pressure ventilation, the use of noninvasive ventilation (NIV) through an interface substantially increased. The first technique was continuous positive airway pressure; but, after the introduction of pressure support ventilation at the end of the 20th century, this became the main modality. Both techniques, and some others that have been recently introduced and which integrate some technological innovations, have extensively demonstrated a faster improvement of acute respiratory failure in different patient populations, avoiding endotracheal intubation and facilitating the release of conventional invasive mechanical ventilation. In acute settings, NIV is currently the first-line treatment for moderate-to-severe chronic obstructive pulmonary disease exacerbation as well as for acute cardiogenic pulmonary edema and should be considered in immunocompromised patients with acute respiratory insufficiency, in difficult weaning, and in the prevention of postextubation failure. Alternatively, it can also be used in the postoperative period and in cases of pneumonia and asthma or as a palliative treatment. NIV is currently used in a wide range of acute settings, such as critical care and emergency departments, hospital wards, palliative or pediatric units, and in pre-hospital care. It is also used as a home care therapy in patients with chronic pulmonary or sleep disorders. The appropriate selection of patients and the adaptation to the technique are the keys to success. This review essentially analyzes the evidence of benefits of NIV in different populations with acute respiratory failure and describes the main modalities, new devices, and some practical aspects of the use of this technique.
Transformation based Approach of Combining Iris and Fingerprint Biometric at Confidence Level

Unimodal Biometric systems depending on information from single trait has many limitations. These are noisy input, inability to enroll into system, unacceptable error rates, spoofing and universality of traits. Multibiometric systems is likely to enhance the recognition accuracy by integration the evidence presented by multiple sources of information. In this paper a multibiometric system using transformation based fusion of two most used biometric traits, fingerprint and iris at confidence level is proposed. Features are extracted from individual biometric modalities by efficient algorithm. These features are first matched with their corresponding templates to compute the corresponding match scores. Match scores obtained from different traits are then transformed using different techniques and combined by simple sum rule to generate a fused match score. The proposed framework is evaluated using standard database. This system overcomes limitation of unimodal biometric system and gives improved performance accuracy. An equal error rate achieved by this system is 0.400. The benefit of this approach is that, it does not require any estimation as in density based approach or a large number of training score as in classifier based approach. Image or feature level fusion is expected to result in better performance, but this approach outperforms feature level as well as decision level fusion of iris and fingerprint. General Terms Recognition, Algorithms, fingerprint, iris.