Miracle-dz/UniFAR-FTUs huggingface dataset:
Xenotransplantation of Human Neural Progenitor Cells to the Subretinal Space of Nonimmunosuppressed Pigs

To investigate the feasibility of transplanting human neural progenitor cells (hNPCs) to the retina of nonimmunosuppressed pigs, cultured hNPCs were injected into the subretinal space of 5 adult pigs after laser burns were applied to promote donor cell integration. Postoperatively, the retinal vessels appeared normal without signs of exudation, bleeding, or subretinal elevation. Eyes were harvested at 10–28 days. H&E consistently showed mild retinal vasculitis, depigmentation of the RPE, and marked mononuclear cell infiltrate in the choroid adjacent to the site of transplantation. Human-specific antibodies revealed donor cells in the subretinal space at 10–13 days and smaller numbers within the retina on days 12 and 13, with evidence suggesting a limited degree of morphological integration; however, no cells remained at 4 weeks. The strong mononuclear cell reaction and loss of donor cells indicate that modulation of host immunity is likely necessary for prolonged xenograft survival in this model.
Prevalence of Depression in Patients With Hypertension

Abstract Prevalence estimates of depression in hypertensive patients varied widely in existing studies. We conducted a systematic review and meta-analysis of observational studies to summarize the point prevalence of depressive symptoms in adults with hypertension. Comprehensive electronic searches of PubMed, Web of Knowledge, China National Knowledge Internet (CNKI), Wangfang, and Weipu databases were conducted to identify any study in each database published from initial state to November 31, 2014, reporting the prevalence of depression in hypertensive patients. Random-effects model was used to estimate the prevalence of depressive symptoms. We also limited the analyses to studies using clinical interview and prespecified criteria for diagnosis. All statistical calculations were made by using the Stata Version 12.0 (College Station, TX) and Statsdirect Version 2.7. 9. We identified 41 studies with a total population of 30,796 in the present meta-analysis. The summarized prevalence of depression among hypertensive patients is 26.8% (95% confidence interval (CI): 21.7%–32.3%). Subgroup analysis shows the following results: for male 24.6%, 95% CI: 14.8%–35.9%, for female 24.4%, 95% CI: 14.6%–35.8%. For China: 28.5% (95% CI: 22.2%–35.3%); for other region (22.1%, 95% CI: 12.1%–34.1%); for community: 26.3% (95% CI: 17.7%–36.0%), for hospital: 27.2% (95% CI: 20.6%–34.5%). Estimated prevalence by interview was 21.3% (95% CI: 14.2%–30.0%); prevalence of depressive symptoms adjudicated by self-rating scales was 29.8% (95% CI: 23.3%–36.7%). The observed heterogeneity in depression prevalence of hypertension may be attributed to differences in method of evaluation. Self-report scales should be cautious of estimating the presence of depression. Thus, interview-defined depression affects approximately one third of hypertensive patients. Effective interventions for depression on patient-centered are needed.
Overview of Microgrippers and Micromanipulation Station Based on a MMOC Microgripper

This paper deals with an overview of recent microgrippers. As the end-effectors of micromanipulation systems, microgrippers are crucial point of such systems for their efficiency and their reliability. The performances of current microgrippers are presented and offer a stroke extending from 50 m to approximately 2 mm and a maximum forces varying from 0,1 mN to 600 mN. Then, micromanipulation system based on a piezoelectric microgripper and a SCARA robot is presented.
Reliable H∞ Control for Nonlinear Systems Based on Fuzzy Control Switching

This paper deals with the design problem of reliable H∞ switching fuzzy controllers for continuous-time nonlinear systems with different actuator fault mode. The Takagi-Sugeno (T-S) fuzzy model is employed to represent a nonlinear system. A class of faulty switched system is constructed to model various faulty nonlinear systems. The objective is to design a state-feedback switching controller such that the switched system is asymptotically stable with H∞ disturbance attenuation for arbitrary switching laws. Based on the linear matrix inequality (LMI) techniques, switching Lyapunov function method is adopted to establish sufficient conditions of existence and design method of reliable H∞ switching fuzzy controller, which reduces the conservatism of the design. Finally, the validity and applicability of the proposed approaches are demonstrated by examples.
Preferential Expression of Biotransformation Enzymes in the Olfactory Organs of Drosophila melanogaster, the Antennae*

Biotransformation enzymes have been found in the olfactory epithelium of vertebrates. We now show that inDrosophila melanogaster, a UDP-glycosyltransferase (UGT), as well as a short chain dehydrogenase/reductase and a cytochrome P450 are expressed specifically or preferentially in the olfactory organs, the antennae. The evolutionarily conserved expression of biotransformation enzymes in olfactory organs suggests that they play an important role in olfaction. In addition, we describe fiveDrosophila UGTs belonging to two families. All five UGTs contain a putative transmembrane domain at their C terminus as is the case for vertebrate UGTs where it is required for enzymatic activity. The primary sequence of the C terminus, including part of the transmembrane domain, differs between the two families but is highly conserved not only within each Drosophila family, but also between the members of one of the Drosophila families and vertebrate UGTs. The partial overlap of the conserved primary sequence with the transmembrane domain suggests that this part of the protein is involved in specific interactions occurring at the membrane surface. The presence of different C termini in the two Drosophilafamilies suggests that they interact with different targets, one of which is conserved between Drosophila and vertebrates.
Energy-aware On-demand Scatternet Formation and Routing

Power-aware routing algorithms aim to extend the life-time of a wireless network by avoiding to route over nodes that are close to being depleted of energy. Previous work in such algorithms often require each node in the network to be aware of the topology of the entire network. In this paper we investigate power-aware routing in Bluetooth networks. Routing in a Bluetooth network involves creating a scatternet structure in order to facilitate the communication between nodes in different piconets. We propose a new routing algorithm that does not require each node to have any knowledge of the network except for its neighbors. This is done by collecting information regarding potential routing paths in the routing messages themselves. We also present a simplified version of the algorithm for general wireless networks, which does not involve scatternet formation and therefore requires less communication overhead.
Glucosylceramide Administration as a Vaccination Strategy in Mouse Models of Cryptococcosis

Cryptococcus neoformans is an opportunistic fungal pathogen and the causative agent of the disease cryptococcosis. Cryptococcosis is initiated as a pulmonary infection and in conditions of immune deficiency disseminates to the blood stream and central nervous system, resulting in life-threatening meningoencephalitis. A number of studies have focused on the development of a vaccine against Cryptococcus, primarily utilizing protein-conjugated components of the Cryptococcus polysaccharide capsule as antigen. However, there is currently no vaccine against Cryptococcus in the clinic. Previous studies have shown that the glycosphingolipid, glucosylceramide (GlcCer), is a virulence factor in C. neoformans and antibodies against this lipid inhibit fungal growth and cell division. In the present study, we have investigated the possibility of using GlcCer as a therapeutic agent against C. neoformans infections in mouse models of cryptococcosis. GlcCer purified from a non-pathogenic fungus, Candida utilis, was administered intraperitoneally, prior to infecting mice with a lethal dose of C. neoformans. GlcCer administration prevented the dissemination of C. neoformans from the lungs to the brain and led to 60% mouse survival. GlcCer administration did not cause hepatic injury and elicited an anti-GlcCer antibody response, which was observed independent of the route of administration and the strains of mouse. Taken together, our results suggest that fungal GlcCer can protect mice against lethal doses of C. neoformans infection and can provide a viable vaccination strategy against Cryptococcus.
A comparison between collaborative filtering algorithms

Video recommendation is used all over the world. Websites like Netflix and IMDb use this to recommend movies to their visitors. In video recommendation, collaborative filtering algorithms are used. Collaborative filtering algorithms find patterns in datasets. These patterns can be used to make predictions. There are different kinds of collaborative filtering algorithms. In this document we will look into the model-based and memory-based collaborative filtering algorithms. The minimum distance classifier it used as memory-base collaborative filtering algorithm. Classic neural networks and dynamic neural networks are used as model-based collaborative filtering algorithms. How well do these different algorithms perform compared to each other? And what is the difference between a classic and a dynamic neural network?
A Proposal of Variants of BiCGSafe Method for Solving Linear Systems in Realistic Problems

We consider on efficient and stable so- lution for linear systems by product-type iterative methods. By means of improvement on ordering of Lanczos and stability polynomials which construct al- gorithm of product-type BiCG method, we derive new algorithm based on BiCGSafe method with safety convergence. We will apply the proposed BiCGSafe method to solve linear systems which appeared in a variety of realistic problems. Through numerical ex- periments, we will make clear that the proposed vari- ants of BiCGSafe method have an excellent conver- gence rate.
Traumatic Brain Injury Leads to Development of Parkinson's Disease Related Pathology in Mice

Traumatic brain injury (TBI) is a major health and socio-economic problem that affects all societies. This condition results from the application of external physical strength to the brain that leads to transitory or permanent structural and functional impairments. Moreover, TBI is a risk factor for neurodegeneration and can e.g., increase the risk for Parkinson's disease (PD), a late-onset neurodegenerative disorder with loss of dopaminergic neurons in substantia nigra. In this study, we wanted to explore the possible development of PD-related pathology within the context of an experimental model of TBI. Traumatic brain injury was induced in mice by controlled cortical impact. At different time points behavioral tests (open field, elevated plus maze tests, and Barnes maze) were performed: The animals were sacrificed 30 days after the impact and the brains were processed for Western blot and immunohistochemical analyses. Following TBI there was a significant decrease in expression of tyrosine hydroxylase and dopamine transporter in the substantia nigra as well as significant behavioral alterations. In addition, a strong increase in neuroinflammation was evident, as shown by increased levels of cyclooxygenase-2 and inducible nitric oxide synthase as well as IκB-α degradation and nuclear-κB translocation. Moreover, neurotrophic factors such as brain-derived neurotrophic factor, neurotrophin-3, nerve growth factor, and glial cell line-derived neurotrophic factor were decreased 30 days post-TBI. Interestingly, we observed a significant accumulation of α-synuclein in microglia compared to astrocytes. This study suggests that PD-related molecular events can be triggered upon TBI. The biological mechanisms linking brain trauma and neurodegenerative diseases need to be further investigated.
The Effect of Ankle Joint Muscle Strengthening Training and Static Muscle Stretching Training on Stroke Patients’ C.O.P Sway Amplitude

[Purpose] This study implement ankle joint dorsiflexion training for ankle muscle the weakness that impairs stroke patients’ gait performance, to examine the effect of the training on stroke patients’ plantar pressure and gait ability. [Subjects and Methods] In this study, 36 stroke patients diagnosed with stroke due to cerebral infarction or cerebral hemorrhage performed the training. Static muscle stretching was performed four times a week for 20 minutes at a time for 6 weeks by the training group. Ankle dorsiflexor training was performed four times a week, two sets per time in the case of females and three sets per time in the case of males for 6 weeks, by another group. Center of pressure sway amplitude was measured using the F-scan system during gait. All subjects were assessed with the same measurements at a pre-study examination and reassessed at eight weeks. Data were analyzed statistically using the paired t-test and one-way ANOVA. [Results] Among the between ankle dorsiflexor training group, static muscle stretching group, and control group, the difference before and after the training were proven to be statistically significant. [Conclusion] Compared to other training groups, the ankle muscle strength training group showed statistically significant increases of forward thrust at stroke patients’ toe-off which positively affected stroke patients’ ability to perform gait.
On absorption in semigroups and n-ary semigroups

The notion of absorption was developed a few years ago by Barto and Kozik and immediately found many applications, particularly in topics related to the constraint satisfaction problem. We investigate the behavior of absorption in semigroups and n-ary semigroups (that is, algebras with one n-ary associative operation). In the case of semigroups, we give a simple necessary and sufficient condition for a semigroup to be absorbed by its subsemigroup. We then proceed to n-ary semigroups, where we conjecture an analogue of this necessary and sufficient condition, and prove that the conjectured condition is indeed necessary and sufficient for B to absorb A (where A is an n-ary semigroup and B is its n-ary subsemigroup) in the following three cases: when A is commutative, when |A-B|=1 and when A is an idempotent ternary semigroup.
Distributed Video Coding with Unsupervised Learning of Motion Estimation

—Distributed video coding has gained much attention in recent years for applications such as surveillance cameras and sensor networks. It encodes frames independently, and decodes them jointly, thus shifting the complex computation to the decoder side. In this paper, we propose a lossless and a lossy pixel domain distributed coding scheme that use unsupervised machine learning algorithm, Expectation Maximization, to estimate the motion vectors between the adjacent frames. Our simulation results show that by allowing motion estimation, we can effectively achieve lower bit rate then distributed coding without motion estimation.
SITUATION ASSESSMENT IN AIR-COMBAT: A FUZZY-BAYESIAN HYBRID APPROACH

In modern air combat operations, the mental workload for fighter pilots is extremely high. The pilot has to make fast dynamic decisions under high uncertainty and high time pressure. This is hard to perform in Within Visual Range (WVR) combat operations, but becomes even harder in Beyond Visual Range (BVR) combat operations where the on-board sensors of aircraft become the pilot's eyes and ears. Typically, the data received from multiple on-board and off-board sensors and sources is fused mentally by operators to produce a coherent air surveillance picture portraying tracks of airborne targets and their classification. Then the air surveillance picture is analyzed mentally to determine the behavior of each target with respect to the own ship and other targets in the region and assess the intent or threat that they pose or the impact they may have on the mission (situation assessment). As the number of targets grows or the situation escalates, the volume of available data from these sensors and sources may overload the operators. To assist them in such situations, it is desirable to automate some of the situation and threat assessment process. In this paper, a Fuzzy logic and Bayesian Network (BN) based hybrid technique is used to investigate the possibilities of design and implementation of an expert system named Intelligent System for Situation Assessment in Air-Combat (ISSAAC) as an aid to pilots engaged in air-combat. ISSAAC is a pilot-in-loop (PIL) simulator consisting of integration of platform models, sensor models, pilot mental models and data processing algorithms. The capability of ISSAAC is demonstrated by simulating an air-to-air combat scenario consisting of six targets.
Study of Semantic Web-Oriented Ontology Integration Technologies

Considering structure and elements of domain ontology, and multi-granularity technique on ontology integration, an ontology integration tool for the same field is developed in this paper. Take example for two electronic ontologies, in which the structural features of OWL (Web Ontology Language) files are analyzed, from which the main information are extracted and displayed by tree structure. Through mapping methods both elements and structure levels, the similarity degree is calculated and ontological dictionary Wordnet is adopted to get lexical semantic relations, and statistical methods is used to eliminate the discrepancy between words, in order that make integration operation on domain ontology. The result indicates that the tool not only realizes integration on elements, but also fulfills analysis on semantic of domain ontology.
Communication in the information society: ICT and the (in)visibility of communication science in the Low Countries

In this paper the question is posed what communication science, especially in the Netherlands has contributed or can contribute to research in the field of information and communication technologies, and meaning of these technologies for communication within the information society. Attention will be paid to the domain of communication science and ICT. Developments in the field of technology, policy, industry but also in regard to communication and organization are discussed. An overview of the state of the art of ICT-research in the Netherlands and the Dutch speaking part of Belgium is given from the perspective of communication science, and subsequently, a research agenda will be proposed.
PFS scheme for forcing better service in best effort IP network

The paper presents recent results corresponding to a new strategy for source traffic generating, named priority forcing scheme (PFS), allowing Internet users for getting better than best effort service in IP network. The concept of PFS assumes that an application, called PFS application, sends to the network a volume of additional traffic for the purpose of making the reservations for the data traffic in the overloaded router queues along the packet path in the IP network. The emitted redundant packets, named R-packets, should be rather of small size comparing to the data packets, named D-packets. The PFS scheme assumes that the R-packets waiting in a queue can be replaced by the arriving D-packets and belonging to the same flow. In this way, the D-packets can experience a prioritised service comparing to the packets produced by a non-PFS application. Notice that the proposed solution does not require any quality of service (QoS) mechanisms implemented in the network, like scheduler, dropping, marking etc., except Rand D-packets identification and replacing. We discuss the PFS efficiency for forcing priority in the overloaded conditions. Moreover simple system analysis is also presented. Finally, the profits of using PFS scheme are illustrated by examples corresponding to FTP (TCP controlled traffic) and VoIP (UDP streaming traffic) applications. Keywords—IP-based network, better than best effort service, priority forcing scheme.
on Software Tools for Technology Transfer ( STTT )

132, 131, 122]. Abstraction [182, 123, 40]. ACL2 [48]. action [77]. address [63]. Advancements [152]. advances [183]. AGATHA [129]. agent [163]. agent-based [163]. aggregation [29]. aided [142]. ALDÉBARAN [12]. algorithm [141, 176, 142, 73]. algorithmics [165]. algorithms [33, 154, 108, 150]. alive [181]. allocation [73]. Analysing [26, 23, 24, 73]. Analysis [33, 141, 15, 172, 91, 126, 16, 164, 31, 114, 74, 14, 70, 133]. analyzer [17]. Analyzing [22]. animate [156]. Application [63, 61, 95, 52]. Application-controlled [63]. applications [188, 41, 57]. applied [189]. applying [142]. approach [189, 161, 163, 155, 129, 128]. architecture [68, 162, 22]. architectures [26]. arithmetic [56, 50]. aspects [119]. aSPIN [132]. assembly [148]. assisted [141].
Database Mining: A Performance Perspective

The authors' perspective of database mining as the confluence of machine learning techniques and the performance emphasis of database technology is presented. Three classes of database mining problems involving classification, associations, and sequences are described. It is argued that these problems can be uniformly viewed as requiring discovery of rules embedded in massive amounts of data. A model and some basic operations for the process of rule discovery are described. It is shown how the database mining problems considered map to this model, and how they can be solved by using the basic operations proposed. An example is given of an algorithm for classification obtained by combining the basic rule discovery operations. This algorithm is efficient in discovering classification rules and has accuracy comparable to ID3, one of the best current classifiers. >
A narrative review of the barriers to the implementation of cognitive behavioural therapy for psychosis

ABSTRACT Cognitive Behavioural Therapy for Psychosis (CBTp) is recommended in National Institute for Health and Care Excellence (NICE) Guidelines (2014) and Scottish Intercollegiate Guidelines Network (SIGN) Guidelines (2013) and is widely accepted as a helpful approach for people with lived experience of psychosis or schizophrenia. Despite this, research suggests that implementation rates across the UK remain extremely low and people with a psychotic spectrum disorder struggle to gain access to CBTp. Objective: To review current research evidence on the barriers to the implementation of CBTp in the UK. Design: Narrative review of the literature. Method: Using narrative synthesis the data from 18 relevant articles were extracted concerning the barriers to the implementation of CBTp. Conclusions: Key barriers identified in the literature include organisational, staff and service user barriers.