Miracle-dz/UniFAR-FTUs huggingface dataset:
Agonist-biased signalling at the histamine H 4 receptor : JNJ 7777120 recruits beta-arrestin without activating G proteins

The G i/o -coupled histamine H 4 receptor is highly expressed in haemopoietic cells and is a promising new target for the treatment of chronic inflammatory diseases. JNJ7777120 has been described as a selective antagonist at the H 4 receptor and is widely used to characterise the physiological role of the H 4 receptor. We have investigated the pharmacological properties of JNJ7777120 using two distinct downstream signalling readouts, G protein activation and β-arrestin recruitment. The H 4 receptor agonists histamine and clobenpropit, but not JNJ7777120, were both able to induce [ 35 S]-GTPγS binding in membranes prepared from U2OS-H 4 cells. Thioperamide, a dual H 3 /H 4 receptor antagonist, and JNJ7777120 were both able to inhibit the [ 35 S]-GTPγS binding induced by clobenpropit. Agonists and antagonists specific for other members of the histamine receptor family had no effect in this assay format. Histamine and clobenpropit increased β-arrestin recruitment to the H 4 receptor in a concentration-dependent manner. This β-arrestin recruitment could be inhibited by pre-incubation with thioperamide. Surprisingly, pre-incubation with the H 4 -selective antagonist JNJ7777120 did not antagonise, but rather potentiated the response to histamine. JNJ7777120 treatment alone resulted in an increase in β-arrestin recruitment, which again could be inhibited by pre-incubation with thioperamide. Schild analysis demonstrated competitive antagonism between thioperamide and both clobenpropit and JNJ7777120. Histamine and clobenpropit had comparable potencies for both [ 35 S]-GTPγS binding β-arrestin recruitment, suggesting little difference in the levels of receptor reserve between the two assays. In conclusion, we have demonstrated that JNJ7777120 recruits β-arrestin to the H 4
Controlling phonons and photons at the wavelength scale: integrated photonics meets integrated phononics: supplementary material

wavelength scale: integrated photonics meets integrated phononics: supplementary material AMIR H. SAFAVI-NAEINI1, DRIES VAN THOURHOUT2, ROEL BAETS2, AND RAPHAËL VAN LAER1,2,* 1Department of Applied Physics and Ginzton Laboratory, Stanford University, USA 2Photonics Research Group (INTEC), Department of Information Technology, Ghent University–imec, Belgium . Center for Nanoand Biophotonics, Ghent University, Belgium *rvanlaer@stanford.edu
Metacognitive Re ﬂ ection and Insight Therapy: A Recovery-Oriented Treatment Approach for Psychosis

: Recent research has suggested that recovery from psychosis is a complex process that involves recapturing a coherent sense of self and personal agency. This poses important challenges to existing treatment models. While current evidence-based practices are designed to ameliorate symptoms and skill de ﬁ cits, they are less able to address issues of subjectivity and self-experience. In this paper, we present Metacognitive Insight and Re ﬂ ection Therapy (MERIT), a treatment approach that is explicitly concerned with self-experience in psychosis. This approach uses the term metacognition to describe those cognitive processes that underpin self-experience and posits that addressing metacognitive de ﬁ cits will aid persons diagnosed with psychosis in making sense of the challenges they face and deciding how to effectively manage them. This review will ﬁ rst explore the conceptualization of psychosis as the interruption of a life and how persons experience themselves, and then discuss in more depth the construct of metacognition. We will next examine the background, practices and evidence supporting MERIT. This will be followed by a discussion of how MERIT overlaps with other emerging treatments as well as how it differs. MERIT ’ s capacity to engage patients who reject the idea that they have mental illness as well as cope with entrenched illness identities is highlighted. Finally, limitations and directions for future research are discussed.
MechanismsPreserving Peripheral Regulatory the Bone Marrow and Spinal Cord While Pathogenic Adaptive Immune Responses in Autoimmune Encephalomyelitis by Inhibiting Antibody (MEDI551) Disrupts Experimental Single Dose of Glycoengineered Anti-CD19

Plasma cells and the autoreactive Abs they produce are suspected to contribute to the pathogenesis of multiple sclerosis, but recent attempts to target these components of humoral immunity have failed. MEDI551, an anti-CD19 Ab that depletes mature B cells including plasma cells may offer a compelling alternative that reduces pathogenic adaptive immune responses while sparing regulatory mechanisms. Indeed, our data demonstrate that a single dose of MEDI551, given before or during ongoing experimental autoimmune encephalomyelitis, disrupts development of the disease. Leukocyte inﬁltration into the spinal cord is signiﬁcantly reduced, as well as short-lived and long-lived autoreactive CD138 + plasma cells in the spleen and bone marrow, respectively. In addition, potentially protective CD1d hi CD5 + regulatory B cells show resistance to depletion, and myelin-speciﬁc Foxp3 + regulatory T cells are expanded. Taken together, these results demonstrate that MEDI551 disrupts experimental autoimmune encephalomyelitis by inhibiting multiple proinﬂammatory components whereas preserving regulatory populations. The Journal of Immunology , 2014, 193: 000–000. inﬁltration into the spinal cord and disrupts EAE development. Speciﬁcally, MEDI551 efﬁciently depletes both short-lived and long-lived plasma cells, which results in a signiﬁcant reduction of total and Ag-speciﬁc Abs in both the periphery and the CNS. Interestingly, Ag-speciﬁc regulatory T cells (Tregs) were promoted by MEDI551 treatment, and potentially protective CD1d hi CD5 + Bregs showed resistance to MEDI551 depletion. These results indicate that MEDI551 effectively disrupts EAE by reducing adaptive immune responses known to participate in the disease pathogenesis while sparing regulatory mechanisms shown to suppress the disease.
Culture of the Cyanobiont Anabaena azollae Strasburger: Is it Possible?

The culture of the nitrogen-fixing cyanobacterium Anabaena azollae , the cyanobiont of the fern Azolla, is a long-time debate. Therefore, on the present research, the cyanobiont was cultured in three culture media (AA, AA1/8, BG-11 0 ) supplemented with an aqueous extract of Azolla filiculoides , three sugar sources (fructose, D-glucosamine, N-acetyl-glucosamine), KNO 3 and B 12 vitamin and their fitness was assessed by the analysis of the Phycobiliproteins (PBP) content. The results of the present research showed that the addition of a fern aqueous extract to the culture media AA, AA 1/8 and BG-11 0 induced the loss of A. azollae cells. Also, in all culture media without any supplements and media complemented with N-acetyl-glucosamine, KNO 3 , and B 12 vitamin, the cyanobiont is formed by very short filaments or isolated vegetative cells and heterocysts. Regarding the PBP, the phycocyanin content almost disappeared from the cyanobiont followed by a sharp decrease in the allophycocyanin and phycoerythrocyanin in a lesser extent. The cyanobionts growing in the media AA, AA 1/8 and BG-11 0 without sugar source and supplements, medium AA 1/8+N-acetyl-glucosamine+B 12 vitamin, and medium BG-11 0 +N-acetyl- glucosamine+B 12 vitamin has phycoerythrocyaninin a higher amount than the freshly isolated cyanobiont. These changes can be due to nutritional and/or light limitations that are not adequate to this cyanobiont. Also, the culture conditions probably do not imitate the existing environment in the foliar cavities of the fern. However, N-acetyl-glucosamine seems to hinder a drastic decrease of allophycocyanin and phycoerythrocyanin, pointing to that this amino sugar can be beneficial to the growth of A. azollae .
What motivates communities in developing countries to adopt conservation 1 behaviors? A Sumatran orangutan case study 2

: Community-based conservation programs in developing countries often assume 15 that heteronomous motivation (e.g. extrinsic incentives such as economic rewards and 16 pressure or coercion to act) will motivate local communities to adopt conservation behaviors. 17 However, this may not be as effective or sustainable as autonomous motivations (e.g. an 18 intrinsic desire to act due to inherent enjoyment or self-identification with a behavior and 19 through freedom of choice). This paper analyses the comparative effectiveness of 20 heteronomous versus autonomous approaches to community-based conservation programs, 21 using the example of Sumatran orangutan ( Pongo abelii ) conservation in Indonesia. 22 Comparing three case study villages employing differing program designs, we found that 23 heteronomous motivations (e.g. income from tourism) led to a change in self-reported 24 behavior towards orangutan protection. However, they were ineffective in changing self- 25 reported behavior towards forest (i.e. orangutan habitat) protection. The most effective 26 approach to creating self-reported behavior change throughout the community was with a 27 combination of autonomous and heteronomous motivations. Individuals who were 28 heteronomously motivated to protect the orangutan were found to be more likely to have changed attitudes than their self-reported behavior. These findings demonstrate that the current paradigm of motivating communities in developing countries to adopt conservation behaviors primarily through monetary incentives and rewards should also consider integrating autonomous motivational techniques which promote the intrinsic values of conservation. Such a combination will have a greater potential to achieve sustainable and cost-effective conservation outcomes. Our results highlight the importance of in-depth socio- psychological analyses to assist the design and implementation of community-based conservation programs.
Outcome after treatment of coronary in-stent restenosis Results from a systematic review using meta-analysis techniques

Aims To evaluate the clinical outcome after treatment of coronary in-stent restenosis. Methods and results For identification of the relevant literature a specific search strategy was conducted and explicit inclusion criteria were defined to avoid selection bias. Based on the selected literature, a systematic review using descriptive statistics and meta-analysis methods regarding the outcome after treatment of coronary in-stent restenosis was performed. The proportion of patients experiencing a major adverse cardiac event (MACE) as defined by death, myocardial infarction, and target lesion revascularization was the main outcome measure. A total of 1304 citations were identified. Among these, 28 studies (six different treatment modalities) including a total of 3012 patients met the inclusion criteria and were incorporated into this analysis. The estimated average probability of experiencing a major cardiac adverse event after treatment for in-stent restenosis with a follow-up period of 9±4 months was 30.0% (25.0 – 34.9%, 95% confidence interval) with strong evidence for heterogeneity between study specific results ( P (cid:1) 0.0001). The clinical outcome was not significantly different between treatment modalities. After adjustment for confounding factors (i.e. lesion length), however, patients undergoing intracoronary radiation showed an estimated advantage of 16.9% (−37.7±4.0%, 95% confidence interval) in MACE free survival, as compared to balloon angioplasty. The post-interventional diameter stenosis was the only independent predictor for the long-term outcome after treatment of in-stent restenosis. Conclusions Treatment of is associated with an overall 30% rate of major cardiac Currently, repeat angioplasty is the treatment option of choice, especially when a sufficient acute procedural result can be achieved. Intracoronary radiation should be considered in cases with therapy refractory forms of diffuse in-stent restenosis.
FORMULATION AND EVALUATION OF TRANSDERMAL PATCHES LOADED WITH PENTAZOCINE HYDROCHLORIDE

T he Current research is to develop the Transdermal patches containing drug pentazocine hydrochloride, a narcotic analgesic generally used in cases of moderate to severe pain of various origins, using ethyl cellulose, poly vinyl pyrrolidone as polymer and dibutyl phthalate as a plasticizer. By incorporating different ratios of ethyl cellulose and poly vinyl pyrrolidone different patches were developed. Drug-excipients compatibility studies were carried out using Fourier transform infrared (FTIR) spectroscopic technique. Patches were evaluated for thickness, weight uniformity, moisture absorption, drug content uniformity, in-vitro drug release studies and in vitro skin permeation studies. Drug release followed the Higuchi equation in which the amount of drug released is linear to square root of time. The release rate constant varies with different drug load, different polymer and also on concentration of penetration enhancers. Among the various penetration enhancers used Di Methyl Sulfoxide was found to have a significant effect on penetration. The studies have shown promising results; hence, there is a scope for further pharmacodynamic and pharmacokinetic evaluation.
Mining Software Repositories for the Effects of Design Patterns on Software Quality

Design patterns are reusable solutions for commonly occurring problems in software design. First described in 1994 by the Gang of Four, they have gained widespread adoption in many areas of software development throughout the years. Furthermore, design patterns have also garnered an active research community around them, which investigates the effects that design patterns have on different software quality attributes. However, a common shortcoming of existing studies is that they only analyze the quality effects of design patterns on a relatively small scale, covering no more than a few hundred projects per case study. This calls into question how generalizable the results of these small-scale case studies are. Pursuing more generalizable results, this thesis conducts a much larger-scale analysis of the quality effects of design patterns. To accomplish this, software metric and design pattern data for 90,000 projects from the Maven Central repository is collected using the metrics calculation tool CKJM extended and the design pattern detection tool SSA. Correlations between design patterns and software quality attributes are then analyzed using software metrics as proxies for software quality by following the methodology described by the QMOOD quality model. The results of the analysis suggest that design patterns are positively correlated with functionality and reusability, but negatively correlated with understandability, which is consistent with the results of existing smaller-scale case studies.
A Resistor Network Model for the Determination of Electrical and Thermal Properties of Nanocomposites

A Resistor Network Model for the Determination of Electrical and Thermal Properties of Nanocomposites by Clayton Higginson Superior electrical, thermal, and mechanical properties of carbon nanotubes have made them popular candidates for use as fillers in polymer nanocomposites. This thesis presents a numerical model developed to determine the electrical and heat transport properties of these materials via percolation theory. Realistic nanocomposite representative volume elements are generated in three-dimensional space according to user-defined input parameters. A spanning network algorithm is used to search for connections between nanotubes. Interconnected nanotubes are then converted into equivalent resistor networks. The resistor network is then examined using finite element analysis through Kirchoff’s current law for electrical transport, and Fourier’s law for thermal transport. Monte Carlo simulations eliminate statistical variation at each volume fraction of nanotube filler. Several boundary treatment methods are examined to determine which is the most computationally efficient. The model is validated through comparison to experimental data reported in the literature. The presented model is unique in that it can predict both the electrical and thermal conductivity of carbon nanotube based polymer nanocomposites.
Separation of Radiances from a Cirrus Layer and Broken Cumulus Clouds in Multispectral Images

—In this paper, we introduce methodology for separat- ing layers of reﬂective surfaces in Earth remote sensing data. We propose a single-channel layer separation framework and extend it to multispectral layer separation. Efﬁcient alternating minimization and fast operator-splitting methods are used to solve minimization problems. Speciﬁcally, we apply our methodology to separate strongly stratiﬁed and optically thin upper (cirrus) clouds from optically thick lower convective (cumulus) clouds in atmospheric imagery approximated as additive contributions to the observed signal. After setting up synthetic “truth” scenarios, we evaluate the accuracy of the two-layer separation results while varying the effective opaqueness of each of two types of cloud. We show that multispectral cloud layer separation is consistently more accurate than channel-by-channel cloud layer separation. radiative and/or polarimetric by ground, aircraft- and space-based sensors using both passive (solar/thermal) and active (pulsed laser source) modalities. include aerosol/surface property retrievals, as well as column-integrated amounts of green house gases such as CO 2 , particularly in the vicinity of clouds, or in other spatially complex situations, using multi- pixel/multi-angle spectral data with or without polarization diversity.
Building Envelope Object Detection Using YOLO Models

Building performance significantly influences energy use and indoor thermal conditions tied to the quality of living for its occupants. Therefore, information on building envelopes is essential, especially considering that envelopes and windows can impact 50% of energy loads in the United States. However, current retrofits supporting Building Energy Modelling (BEM) tools face multiple barriers, including time consumption and labor intensity due to manual modeling and calibration processes. This paper proposes using Deep Learning (DL) -based object detection algorithms to detect building envelope components, more specificlly doors, and windows, that can be applied to building energy performance analysis, 3D modeling, and assessment of thermal irregularities. We compare four different versions of the state-of-the-art YOLO V5 model to identify which version best suits the goal of detecting these building components. Results show that YOLO V5_X provides the best performance for detection accuracy.
Implementations of control laws for motion camouﬂage in a pursuit-evasion system

—Motion camouﬂage is a sly technique found in nature and employed by bats and hoverﬂies. We analyze the pursuit-evader system by introducing strategies for both players for capturing its prey and escaping its preda-tor. Analytical bounds for feedback laws and sufﬁcient conditions for initial cost and intial conditions are found to guarantee either capture or evasion in ﬁnite time. We also have numerical implementation satisfying the inequalities. Moreover, the steering laws are implemented in a testbed to check feasibility in a real environment.
Changing iron content and excitation ﬁeld: Comparative study of Synomag ® nanoparticles

Magnetic nanoparticles (MNPs) are widely used to facilitate magnetic particle imaging (MPI) which has the potential to become the leading diagnostic instrument for biomedical imaging. This comparative study assesses the effects of changing iron content and excitation frequency on point-spread function (PSF) representing the effect of magnetization reversal. PSF is quantiﬁed by features of interest for MPI: i.e. gradient amplitude and full-width-at-half-maximum (FWHM). A superparamagnetic quantiﬁer (SPaQ) is used to assess differential magnetic susceptibility of two commercially available MNPs: Synomag ® -D50 and Synomag ® -D70. For both MNPs, the signal output depends on increase in drive ﬁeld frequency and amount of iron oxide, which might be hampering the sensitivity of MPI systems that perform on higher frequencies. Nevertheless, there is a clear potential of Synomag ® -D for a stable MPI resolution, especially in case of 70 nm version, that is independent of either drive ﬁeld frequency or amount of iron oxide.
A Comprehensive Workﬂow for Effective Imitation and Reinforcement Learning with Visual Analytics

Multiple challenges hinder the application of reinforcement learning algorithms in experimental and real-world use cases even with recent successes in such areas. Such challenges occur at different stages of the development and deployment of such models. While reinforcement learning workﬂows share similarities with machine learning approaches, we argue that distinct challenges can be tackled and overcome using visual analytic concepts. Thus, we propose a comprehensive workﬂow for reinforcement learning and present an implementation of our workﬂow incorporating visual analytic concepts integrating tailored views and visualizations for different stages and tasks of the workﬂow.
Bs Physics

While B0 and B+ mesons are well studied, mainly by the B factories, less is known about Bs mesons. Specifically large new physics effects may still be present in the Bs system. This unexplored region is studied by the CDF, D0, and Belle experiments. In this article their recent measurements on the Bs physics sector are presented.
Electromagnetic Performance Evaluation of UHF RFID Tags With Power Discretization Error Cancellation

The rigorous electromagnetic characterization of passive UHF radio frequency identification (RFID) tags is a challenging task. Among various solutions, in a previous work, an automatic tool for the over-the-air evaluation of significant RFID tag metrics has been presented. Once the distance is fixed, the system, based on the estimation of the minimum power emitted by the off-the-shelf interrogating reader capable to energize the tag under test, exhibits an accuracy that, although adequate, is affected by the minimum power step at the reader side. In this communication, an evolution of a new platform whose working principle has already been introduced by the same authors is presented. It is based on an analytical model opportunely derived to overcome this limit while preserving flexibility and cost-effectiveness. The platform can automatically vary with continuity the interrogation distance—which becomes a new degree of freedom—and it is able to estimate the couple power distance for each frequency, which practically annuls the estimation error due to the power discretization. Moreover, the enhanced system now allows for a pretest phase that is useful to verify whether or not the implemented analytical model is valid in the specific environment, even if not electromagnetically anechoic.